Deep learning models often encounter the problem of overfitting when the amount of training data is limited, for example, one can expect that the given training data is insufficient compared to the complexity of deep models. The idea of meta-learning  can be employed to alleviate this problem. Meta-learning methods randomly sample data from the training set to simulate a test scenario, which is called a task or an episode hereinafter. Note that one episode contains a support set and a query set, the former of which consisting of a small number of labeled samples, while the latter consisting of unlabeled samples with labels to be predicted. In a meta-learning paradigm, thousands of randomly constructed tasks are used to train the model so that learned parameters can extract transferable knowledge, which makes a learned model generalize on unseen tasks.
On the basis of meta-learning, many recently proposed few-shot classification methods [20, 17, 11, 15, 14, 18] have gained better generalization abilities than universal deep learning models in few-shot paradigms. Some of them [11, 15, 14] make use of distance metrics to measure distances between embeddings of two samples; however, they can not make full use of the overall information of support samples and a query sample.  treats few-shot classification as a sequence-to-sequence problem, which does not suffer from the shortcomings of those using distance metrics. Notably,  proposes an attentive meta-learner called SNAIL with the help of temporal convolutions  and soft attention . It claims to be able to learn a more flexible strategy. However, when dealing with few-shot learning tasks, SNAIL requires the embeddings of samples to be fed into the meta-learner as a sequence with each time step of the sequence being a sample-label pair. However, samples in each task are not spread across time, therefore it is hard for SNAIL to learn a feasible model. It is also reported in  that the authors didn’t train the model successfully with an LSTM-based  meta-learner on miniImagenet  with a 4-layer feature extractor.
To overcome the problem that some metric-based few-shot learning methods can not make full use of the overall information of support samples and a query sample. In this paper we propose to construct a channel vector sequence which is combined with the whole information of support samples and a query sample. In this paradigm, each sample is sent into a convolutional neural network, and a corresponding multi-channel feature map is generated. After that, each feature map is converted into a embedding vector (We will call this vector as channel vector, hereinafter) of a specific scale through a fully connected network. At last, the channel vector sequence is spliced by the corresponding channel vectors of support samples and a query sample in the original channel order. After the channel vector sequence is generated, the rest to do is to extract the internal relationship among the channels and use such information to perform few-shot classification. A natural idea is to apply LSTM  or GRU  on channel vector sequence to infer the relationship.
Experimental results show that the spliced channel vector sequence with LSTM or GRU model can get similar results with the state-of-the-art methods in few-shot classification tasks on CUB  and cross-domain scenario . This is because channel vector sequence contains distinguish features which implicit the relationship between query sample and support set samples, and the sequence relationship can also be established on channel vector sequence through back propagation method . However, both LSTM and GRU have a disadvantage. They need to use the output of previous step as the input of current step, so none of these methods support parallel training.
To solve the problem that LSTM and GRU cannot train channel vector sequence in parallel and get more distinguishing features, we proposed forget-update module constructed by forget-update blocks, which uses 1-dimensional causal dilated convolution as base block, so it can be trained in parallel. And every single forget-update block has two parts: a forget block and a update block. Fig. 1 give the motivation of forget-update module. Specially, the forget block equipped with a forget gated activation  which can optimize existing information, and the update block equipped with an update gated activation  which can generate new information and establish dense connections. Experimental results demonstrated the effectiveness of forget-update module on few-shot classification benchmarks. The proposed forget-update module can get state-of-the-art results in few-shot classification tasks.
The main contribution of this paper is twofold. First, we proposed to use the channel vector sequence which contains the overall information of support samples and a query sample to infer categories of query samples. When the proposed channel vector sequence combined with sequence prediction methods, such as LSTM  and GRU , the relationship between the query samples and the support samples can be inferred. Experimental results show that we can get competitive results with the state-of-the-art few-shot learning methods on CUB  and cross-domain scenario  when combines channel vector sequence with LSTM  or GRU . Second, we design forget-update module stacked of forget-update blocks, which can produce more distinguish features in few-shot classification tasks. Experiments show that when combines the forget-update module with channel vector sequence, we can achieve state-of-the-art results on miniImagenet , CUB  and cross-domain scenario .
Code and datasets will be released once the article is accepted.
2 Related Work
2.1 Metric-based Few-shot Leaning
A number of few-shot classification methods are metric-based, i.e., they learn a set of projection functions that project the inputs to an embedding space, and a certain distance metric that measures the distance between any two embeddings. Those methods aim to make the samples from the same category closer in the embedding space, while those from different categories being distant from each other. For instance, Siamese Network  extracts features from a pair of samples and calculates the similarity relationship between the two feature vectors, thus the classification is done by comparing the samples in the query set and the support set in such a manner. Prototypical Network  is based on Euclidean distance metrics and uses the mean of embeddings from the same category as the prototype of that category. Relation Network  is similar to Prototypical Network, except that it employs a neural network to learn a deep instance metric, instead of using a fixed one.
2.2 Meta-learner based Few-shot learning
Some other methods construct a meta-learner that learn to make updates to the parameters to a traditional learner designed for scenarios with a great amount of data.  provided a method to initialize the parameters of the traditional learner in a way that a few gradient descent steps with a small amount of training data from a new task will lead to good generalization performance on that task.  proposed to use the embedding vectors of the newly seen samples to imprint weights for the new classes on the rear of the base network. The traditional learner used in [qiao2018few] is a convolutional-network-based network, and the method proposed in [qiao2018few] learns to update the parameters of the last full-connected layer of the base network, based on the newly seen samples.
2.3 Time Series Prediction Methods
Aside from the recurrent neural networks (RNNs for short), a lot of recently proposed methods have been proven to work well in time series tasks, and some of them even show better performance than RNNs do. proposed a network architecture called Transformer to solve the sequence to sequence problem. The Transformer is built based on attention mechanism instead of RNNs, which makes it more parallelizable and requires less time to train. Recently, a 1-dimensional convolutional neural network architecture named TCN  is proposed by Bai et al. and shows its effectiveness in sequence modeling problems. By combining causal convolution, dilated convolution, and shortcut connection, TCN is able to make use of information in a long history.
3 Proposed Approach
In this section, after defining the problem, we describe the channel vector sequence construction module, the causal dilated convolution block, the forget-update module and the prediction module used in our method one by one in detail. The overall framework of the proposed method is shown in Fig. 2.
3.1 Problem Definition
We first give the general setup and notations of few-shot classification in this paper. The purpose of few-shot classification is to build a model
, which can classify unlabeled samples with the help of a few labeled samples. Each few-shot classification task(or episode) contains a labeled support set , an unlabeled query set and an output set , which satisfies that the elements of and do not intersect. The output set is the set of the labels of all the samples in . We only consider -way -shot few-shot classification paradigm in this paper. In such a paradigm, every support set contains exactly type of class and each class has samples, the query set contains some unlabeled samples that belong to the classes in . The output set includes the corresponding labels of elements in the query set .
where is the number of classes, is the sample number of each class in support set , and is the size of the query set. The subscripts of indicate that is the -th sample in the -th support class.
As in other state-of-the-art few-shot classification methods [11, 20, 15, 14, 18], our method trains a meta-learner to fit the few-shot classification task through minimizing the loss of its predictions over the query set as in Equation 4.
where indicates the meta-learner and
is the loss function. We need to train the meta-learnerwith thousands of randomly sampled tasks under the constraint of loss function .
3.2 Channel Vector Sequence Construction Module
For each task , we first extract the feature map of each sample in the support set and the query set . When deal with -shot tasks where , for each class we calculate an element-wise average over the feature maps of all the samples in that class to form a class-level feature map. The class-level feature map for the -th class can be formulated by Equation 5.
where is a feature extractor ( for grayscale images and for RGB images). We use where is a 4-layer 2-dimensional convolution block and is a dimension reduction block. The output of is a feature map consisting of channels. then squeezes the information in each channel to a -dimensional vector use two consecutive fully-connected layers. Note that we adopt and according to experiments.
After that, we perform channel-level stitching between all class-level feature maps in the support set and feature maps of images in the query set . Equation 6 shows how to stitch channels.
where is the channel concatenate function which is used to splice according to the order of channels. , is the number of channels, and is the feature dimension of each sample. is called channel vector sequence in this paper.
Then, we transform few-shot classification problem into a sequence prediction problem on the channel vector sequence. We formalize the prediction model as Equation 7.
where indicates -th element in query set , c is the -th channel in , is a sequence prediction model, is the label of .
3.3 Causal Dilated Convolution Block
The causal dilated convolution blocks are the basis of the proposed method. We use causal dilated convolution blocks on channel vector sequence. Causal convolutions produce an output of the same length as the input and the newly generated data only depends on the data information before the current point. In addition, dilated convolution is also adopted to improve the range of receptive field on the channel vector sequence. The dilation factor increased exponentially and can be formalized as Equation 8.
where is the kernel size and indicates the -th layer of forget-update module. The detail of forget-update module is described in section 3.4.
With the help of causal dilated convolution block, we can cover a very large receptive field with a few layers. Causal dilated convolution block is first used for generating raw audio in .
3.4 Forget-Update Module
Forget-update module consists of stacked forget-update blocks. The detail of forget-update module is described in Algorithm 1 and the forget-update block is illustrated in Fig. 3. The forget block is designed to upgrade existed information and the update block is designed to reproduce new information and establish dense connection. The forget block generates data which has the same size as the input. Forget block can be formalized as Equation 9.
where is causal dilated convolution function,
is a sigmoid function,is dilated rate, is kernel size, is the i-th input to the i-th forget-update block in forget-update module.
The update model will generate data which has the same sequence length as the input, and the dimension of each channel vector is set to . The channel vector sequence is used as the input of the first forget-update block in the proposed model. The output channel vector sequence will be used as input for the next forget-update block. The process of update block can be formalized as Equation 10,11,12.
is hyperbolic tangent activation function.
And finally, we stitch and in feature dimension direction as the output of forget-update block.
3.5 Prediction Module
The prediction module is a three-layer fully connected network, which uses Relu as the activation function. The weights of the prediction model are initialized using the method described in  and weight normalization  is applied. The prediction module predicts values which represent the similarity relationship between the query sample’s feature map and the class-level feature maps of those support classes.
4 Experiments and Discussion
In this section, we evaluate the proposed method and some state-of-the-art few-shot classification methods in three scenarios, including generic object recognition, fine-grained classification, and cross-domain scenario classification.
4.1 Datasets and Scenarios
For the scenario of generic object recognition, we use the widely used miniImagenet dataset . miniImagenet is a subset of Imagenet  and consists of 100 classes, each of which contains 600 images with a size of 8484. We follow the split used in  and split the dataset into 64, 16 and 20 classes for training, validation and testing, respectively.
For the scenario of fine-grained classification, we use the CUB dataset . It contains 11,788 images from 200 classes in total. In our experiments, we split the dataset into 100, 50 and 50 classes for training, validation and testing, respectively.
For the cross-domain scenario (miniImagenet CUB. For simplicity, we will call it cross hereinafter), we follow the setting used in , which uses miniImagenet as the training set while using the 50 CUB validation classes for validation and the 50 CUB testing classes for testing. This is to test out the performance of our method when the effect of domain shift is relatively significant.
4.2 Implementation Details
 first describes the meta-learning training setup in few-shot classification areas. All the methods in this paper are trained with meta-learning strategy. Specially, each prediction in a task (or episode) only relies on a corresponding support set. In the meta-training process, we train 60,000 episodes when using CUB or cross as the dataset, and 120,000 episodes with miniImagenet. We adopt the -way -shot few-shot classification paradigm. In each episode, we randomly choose classes to use in this episode. We then randomly sample images for each previously chosen class to make up the support set. The size of the query set is fixed to 16. 1-shot and 5-shot classification are evaluated on miniImagenet dataset. 1-shot, 3-shot and 5-shot classification are evaluated on CUB and cross datasets. In the meta-training process, the model, which has the best accuracy when evaluated in validation set, is saved. And the saved model is used to evaluate the test accuracy. In the meta-testing process, we test the model with 600 episodes and adopt the average of all the prediction results as the testing accuracy.
In this paper, all the methods are trained from scratch and adopt Adam  as optimizer. The optimizer takes an initial learning rate of 0.001, and we reduce the learning rate by 10% when the testing accuracy stagnates in 7 consecutive training steps. For each convolutional layer in , a Batchnorm  regularization module is inserted between the convolution and the activation function. All the convolutions uses 64 kernels and the activation function is ReLU . A max-pooling operation is added to the first two layers. We only apply normalization, scale and center-crop operation on the input images without data enhancement. We reimplemented MatchingNet , ProtoNet  and RelationNet  on CUB and cross.
The proposed model contains two forget-update modules. Every forget-update module contains () forget-update blocks. The filter_size of all forget-update blocks in the first and second forget-update module is set to 16 and 32, respectively.
4.3 Experiment Results
Our Experiments are designed in the purpose of to answer these questions:
How does the proposed method compare to exist methods?
Evaluate the effects of forget block and update block.
To validate the effectiveness of the proposed method, we compare it with MatchingNet , ProtoNet  and RelationNet  on miniImagenet, CUB datasets, and cross-domain scenario. In addition, we also compared with MAML  and SNAIL  on miniImagenet.
Table 1, 2, 3 illustrate the object recognition capability on miniImagenet, CUB and cross-domain scenario, respectively. All the methods use a 4-layer convolutional network as backbone. Table 1 shows that the proposed method achieves the best performance in 5-way 1-shot paradigm and achieves the second-best performance in 5-way 5-shot paradigm. ProtoNet has a big improvement over the proposed method. This is most likely because ProtoNet is trained in a 20-way 5-shot paradigm, and tested in a 5-way 5-shot paradigm, as a result, it gains greater discrimination on object recognition task in 5-way 5-shot paradigm. Table 2 shows that the proposed method has made great progress on both 5-way 3-shot and 5-way 5-shot tasks and achieve a second place on 5-way 1-shot task. Table 3 shows that the proposed method has a larger improvement on 5-way 1-shot and 5-way 3-shot tasks than the comparative methods, and achieves sub-optimal result on 5-way 5-shot task.
Table 4 shows the results of the ablation experiments. TCN  is the baseline method which uses causal dilated convolution with identity connection  and uses similar channel configuration as the proposed method. +update method uses the proposed update block but no forget block. The proposed method uses the forget-update module and put channel vector sequence as input. Table 4 shows that the forget block and update block can improve the prediction performance on miniImagenet, CUB and cross.
Table 5 shows the prediction results of GRU  and LSTM  methods with the proposed channel vector sequence as input. LSTM and GRU hidden layer dimensions are both set to 512, the number of layers are set to 2 and bidirectional mode are both set to false. Table 5 shows that most results of LSTM and GRU methods have a better performance than the state-of-the-art few-show classification methods in CUB and cross-domain scenario, and the performance of LSTM and GRU on miniImagenet have competitive results with matchnet . It reflects that the proposed channel vector sequence can be combined with time sequence models, and this method can be used to infer the similarity relationship between query sample and support set samples. It also indicates that the proposed method almost completely exceeds LSTM and GRU, which means that the proposed forget-update module is more suitable for the proposed channel vector sequence than LSTM and GRU.
From the experimental results, we find that the pipeline which uses channel vector sequence as input and uses forget-update module as relation discriminator can get state-of-the-art results for few-shot classification. We think that the update block is equivalent to a dense connection mechanism, which can generate new information when passing through each update block. The forget block can modify existing information with learned weight. The combination of LSTM and GRU with the proposed channel vector sequence can get state-of-the-art results on CUB and cross-domain scenario, indicates that the similarity relationship between class-level features and query sample’s feature is implicated in the proposed channel vector sequence.
In this paper, we study the spliced channel vector sequence of support samples and a query sample. Experimental results show that putting the spliced channel vector sequence as the input of LSTM and GRU can get competitive results with state-of-the-art few-shot classification methods in the CUB dataset and cross-domain scenario (miniImagenet CUB). This shows that the sequence prediction methods can be used to infer the similarity relationship with the help of channel vector sequence. We also proposed a forget-update module, and the proposed module shows promising results on few-shot classification tasks when using the proposed channel vector sequence as input.
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photos Virginie Otth


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While you're staying in a Westbourne Park serviced apartment, take the opportunity to explore the vibrant surroundings and indulge in some well-deserved downtime. Whether you're seeking cultural experiences, beautiful green spaces, or iconic landmarks, this district has it all. Visit the renowned Portobello Road Market, where you can browse through an array of eclectic treasures or savour delicious street food. For a peaceful retreat, the nearby Kensington Gardens offers a serene oasis perfect for a leisurely stroll or a picnic on a sunny afternoon. Don't miss the chance to witness the breath-taking views of the city from the iconic Kensington Palace.
When it comes to dining, Westbourne Park is home to a diverse culinary scene that caters to all tastes and budgets. Indulge in a fine dining experience at one of the district's exquisite restaurants or savour the flavours of the world in its vibrant cafés and bistros. With its lively atmosphere and diverse culinary offerings, Westbourne Park is sure to delight your taste buds.
For your accommodation needs, consider the convenience and comfort of serviced apartments in Westbourne Park. These short-stay serviced apartments in Westbourne Park provide the perfect home away from home, combining the amenities of a hotel with the privacy and flexibility of your own space. Experience the comfort and convenience of apartments in Westbourne Park, designed to cater specifically to the needs of business travellers.


Eyeing big profits, another live-action production company joins the animation fray.
How Chris McKay immersed himself in the world of Batman for the latest Lego adventure.
To launch the new year, Cartoon Brew is delighted to announce the return of our popular job listings service, covering employment opportunities in animation, vfx, and gaming studios.
Meet the many and varied members of the rogues’ gallery from the upcoming film.
Baby Groot for the win!
Animal Logic explains how they created expressive, cartoony animation for their short without squash and stretch and other animation principles.
The new one-year program, in partnership with University of Technology Sydney, will launch in 2017.
A first look at the next entry in the Lego feature animation franchise.
The animation studio that made “The Lego Movie” wants to make “Astro Boy” popular again, too.
Animal Logic is set to produce five LEGO-related movies over the next few years.


Samsung RT-41LSPN is ordinary 2 door fridge type, you can see this from the image i display. Price for this Samsung fridge is Rp. 5,225,000 and you will get 5 years guarantee. This Samsung Fridge 2 door have good specs like Capacity Gross Total 375, Egg Container, Cyclopentane Insulation, Silver Plus Deodorizer and other. Model [...]
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Info about gambar dan harga dapur gas singer in Electronics and Furniture website. We provide you with the latest info for Electronics furniture and Mabel product.
Clean and good kitchen will make you really interesting to try new recipe, that why today i will write review about Elba cooker EH-820GS. This cooker product have a lot of good specs and feature like Built In Hobs, 2 Gas Burner, Safety Device, Cast Iron Trivet and other. You can read more detail for [...]
Unique AC product design, that is what in my mind while i see Polytron PLE-1199 image, do you have same think with me? From the picture below, you can see really clear how this product look like, and i know you will love it. This product integrate with a lot of good specs and feature [...]
AC sharp AH-AP7MHL have a lot of specs, for example Power Input : 540 w, Powerful Jetstream, Self Cleaning using Ion Plasmacluster, LCD Remote Control, Auto Re-Start and another good stuff you can read more below. Price for this AC from Sharp is Rp. 3,450,000 and you will get guarantee 3 years. Read AC Split [...]
Samsung ASV-18ESLN is AC Split 2 PK category, from the image below you can see how this air conditioner from Samsung look like. Price for this product AC only Rp. 8,200,000, and you will get 3 years guarantee. This AC have good specs and feature like Filter System, Good Sleep II, Turbo Mode and other. [...]


Work continues to improve the public space. New cycling and pedestrian areas are being created and the area outside Electricity House is being pedestrianised.
New pedestrian and cycling crossings have been installed connecting Baldwin Street and the centre and new signage has been erected to guide pedestrians around the city centre until all the new pedestrian crossings are installed.
Planting is due to start soon.
Details and video at: www.travelwest.info/centre
Traffic can no longer enter Avon Crescent from Cumberland Road This makes Avon Crescent a less attractive route for Heavy Goods Vehicles thereby reducing traffic and making it a safer environment for residents, pedestrians and cyclists.
Work begins this month to install a new MetroBus stop close to Vauxhall Bridge. This will include a toucan crossing and a new pedestrian and cyclist entrance to the Chocolate Path.
Also this month a new bus lane and bus gate will be installed on Cumberland Road near to the junction with Mardyke Ferry Road; and a new MetroBus stop will be constructed at Wapping Wharf near Gaol Ferry Bridge/Gaol Ferry Steps.
Bathurst Basin Bridge
Our contractors are building a new bridge alongside the existing bridge which takes Commercial Road over the Bathurst Basin. We’re also linking two existing cycling and walking paths and improving the pedestrian crossings in this area.
East Street, Bedminster
Work will begin in August to install a new MetroBus stop outside Wilko. East Street will be closed to vehicles on the 1st & 2nd for preparatory work and for six weeks from 16th. Existing bus services will be diverted via Malago Road and will stop at Dalby Avenue.
Work to install new MetroBus stops on Bedminster Parade near to Asda have started and are expected to take another 14 weeks.
Temporary two-way traffic lights have been installed at the junction of Novers Lane and Hartcliffe Way to enable Wales and West Utilities to divert a large gas main and for the construction of a large retaining wall to support the south bank. The work requires specialist contractors to move the gas main and therefore the work is taking longer than originally anticipated. The temporary lights are expected to remain in place until the 12th August.
Work on the new Hartcliffe Way bus lane is progressing well and is expected to be completed in the autumn.
Hengrove Park, Bamfield and Whitchurch Lane
Work is underway in Hengrove Park which will see a one-way circulatory system introduced to improve traffic flows. The bus stop outside the hospital will be upgraded to become a MetroBus stop.
Improvement works to the junction of Whitchurch Lane and Bamfield will begin shortly, and be followed by upgrade work to the pairs of bus stops on Bamfield.
In Whitchurch Lane, underground cables will be installed to serve bus shelters and the new information points that will be installed at every MetroBus stop.
Plan your journeys
The Travelwest website contains up to date travel information about road works in the West of England region: https://travelwest.info/travelupdates


As good as it is in standard size it is absolutely exhilarting in the original size which fill up my 21" monitor. You add something to that effect in it's caption. Anotherthing you do is to add the coordinates to your images. That really to the experience of viewing your work. Thanks for taking the time to do this.
"After the first glass, you see things as you wish they were. After the second, you see things as they are not. Finally, you see things as they really are, which is the most horrible thing in the world."
--Oscar Wilde on Absinthe


Brabus 850 6.0 Biturbo: Enlarged motor gives E63 AMG 625kW/1150Nm to play with
Few have accused the Mercedes-Benz E63 AMG of being underpowered, but that hasn't stopped Brabus from giving the fastest factory E-Class a bit more spice.
The new 850 6.0 Biturbo is seen by Brabus as a replacement for the 800 E V12 but, instead of its predecessor's 12-cylinder engine, the new car is powered a twin-turbo V8.
Based on the 5.5-litre unit used in the E63 AMG, the 850's engine has been bored and stroked to 5.9 litres. Equipped with two Brabus turbochargers the 5.9-litre V8 churns out 625kW or 850 metric horsepower, hence the name. Brabus claims that the highly modified V8 can produce 1450Nm of torque, but has been limited to just 1150Nm in order to preserve the rest of the drivetrain.
A seven-speed dual-clutch automated transmission sends all that "Sturm und Drang" to either the rear wheels or all four. Rear-wheel drive 850s can complete the 0-100km/h standard in 3.7 seconds, while all-wheel drive versions take only 3.1 seconds to do the same dash. Top speed is electronically limited to between 300km/h and 350km/h depending on the owner's choice of tyres and final drive ratio.
In comparison the E63 AMG S-Model offers only 430kW/800Nm from its 5.5-litre twin-turbocharged V8. This allows the big sedan to run the 0-100km/h sprint in 4.1 seconds in rear-wheel drive form and in 3.6 seconds when fitted with all-wheel drive.
The 850 6.0 Biturbo is available as either a sedan or wagon; both versions are fitted with a carbonfibre aero kit as standard. Brabus offers a selection of one-piece wheels for prospective owners to choose from and these can be clad in rubber from either Continental, Pirelli or Yokohama.
On the inside you'll find Brabus-branded aluminium shift paddles and pedals, while every conceivable surface is trimmed in leather that can be coloured to taste.
The 850 6.0 Biturbo can be purchased outright or components added piecemeal to any current model E63 AMG.
For those with slightly shallower wallets or tamer tastes Brabus will also offer modified versions of the E63 AMG's engine that do without the 850's displacement increase. These are available in three states of tune: 456kW, 478kW and 537kW.


If you no longer want users to log in to a service CommCell environment from the CommCell router, you can deregister the service CommCell environment.
Before You Begin
You must be able to log in to the Command Center on the CommCell router as a user that is in the master user group.
Log in to the Command Center of the CommCell router as a master user.
From the navigation pane, go to Manage > System.
On the System page, click Service CommCells.
On the Service CommCells page, in the row of the service CommCell environment that you want to deregister, under the Action column, click the deregister icon ().


Premier Housewares 10 x 10 cm Alarm Clock, Black : 3 results priced between £10.00 and £100.00
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550 watt Alligator Powered Lopper. Patented jaws protect user from moving cutting chain for enhanced safety. 10x faster than a manual saw. The fast and easy powered lopper for use all around the garden. From small branches to logs up to 100 mm in diameter, the Alligator can handle it all. Once on the ground, branches can be chopped up easily. Easy adjustable chain for re-tightening.<br/>
Burncare 1 Contents:. 1 x Burnshield Burn Dressing 20 x 20. 2 x Burnshield Burn Dressing 10x10. 8 x Burnshield Burn Blotts Sachets. 5 x Sterowash 20ml Eyewash Pods. 1 x Sterocrepe - 10cm x 4.5M. 2 x Steroply - 7.5cm x 4M. 2 x Vinyl Gloves (pairs). 1 x Mircoporous tape 2.5cm x 5M. 1 x Scissors (pair).
The Astra black wall tile availiable to buy from www.tilesupply.co.uk is a porcelain glazed wall tile which is 100x100mm in size. Popular with kitchen applications, around cookers, or as a splashback for sinks. These tiles have a matt finished textured glaze and can be incorporated into a mosaic style design with other tiles from this range to create a unique pattern effect. 3 to 5 Day delivery only available on this tile. If you require a faster delivery please call before you order as we may be...


Oct 28, 2009
Sure… just come on over!
Here is the “nightmare” before paint, but fully assembled. (There is a moon but it’s not going to be painted the same color so I have not glued it in yet.
Ah! I knew I had seen it.
No cake. I'm on a diet.
Massey, I have zero experience or knowledge of 3D printing.
Is that full thickness, or hollow underneath?
How many watts is the printer draw?
And if you don't mind my asking, what is the approximate material cost of resin for printing that one scene?
Watts… not sure, never calculated it. The printer is a Ender 3 V2 and the print took 41 hours 34 minutes. I have 20% fill so not hollow, but not solid either. It used about 1/3 of a 1kg roll of filament. It was the largest thing I have printed to date. So the cost would be less than $5 since I paid about $20 for the roll of filament. I am going to run this again in all black and that filament was about $30 for a 1kg roll so it will cost about $6 for that print.
I have printed about 50 40’ containers so far and that has cost me about $5. Commercial containers are about $25 for 3. Now granted the detail is a bit better and they are already painted, but the ones I have been printing are for a container yard and detail isn’t as big of an issue. Small things like tunnel portals, bridge pads, and abutments will cost me pennies to make myself, and I get the options of scaling them however I see fit for my model.
So the filament is like a thread, not a liquid resin?
Sounds very economical.
Can you post a picture of the bottom?
PHOTO CROPPING TABLE
Has anyone used an old school photo cropping table as a sort of DupliCutter?
I found this photo cropping table at a thrift store, a whole $4.00. It measures 14"x17" overall.
The back side has an adjustment for border width. A Fiskars rotary mat slid under the frame to the boarder stop, leaves zero clearance under the fixed edges of the frame. This will keep sheet goods from going under the frame to the boarder stop.
I've been working on some ideas for mounting a few tools and fixtures on a board the same size as the catch tray of my watchmakers bench. It would be interchangeable with catch tray. I could slide the tray out, slide the fixture board in and be dimensioning walls or strip wood without digging through drawers to retool.
It might be a couple months before I get back to this but I will post an update.
So in the case of this printer the medium that I print with is a spool of plastic. It’s about 1/8th inch in diameter and it is melted and extruded onto the build surface. This is just one type of 3D printing, it good for larger things, and has more strength than the resin type. And speaking of resin type printers, they use a liquid that hardens when exposed to UV light. I also own this type of printer, but I don’t use it for large things, it’s better suited for high detail items. The resin printer can create some really detailed models, but the resin is not as strong as the PLA is.
S4 complete with decoder swap. Runs butter smooth now at slow speed. Replaced the plastic grating over the nose vent with a metal etched section cut from some box car roof walks I had. A little panel line detail added as well to the vents and louvers for some added depth
Here's another DCC conversion. I forgot I had this Kato M250 which is part of a set I bought new a decade or so back. Never ran as I'd already converted to DCC when I got this but I thought it was kind of unique so I had to get it. Pretty straight-forward install where I was able to re-use the factory light board with some surgical cuts to the wire traces, add a jumper then wire from the cab back to the container section. One of the few installs where I didn't have to add my own lights for the effects I wanted so that sped things up a bit. I still have to add a light decoder to the other end of the train which is a dummy unit version of this engine.
Right now I'm using an ESU micro-next18 lokpilot but plan to swap it out with their sound decoder once I get another in hand. I finally get to see this work after 10 or so years of ownership lol.
Having just got in some lighted signals I was chomping at the bit to go through a dry run of setting up a couple to see if I thought of everything I needed to get it all working via the DCC bus. I'm getting everything ready for a new layout I like to get this all planned so I can minimize surprises as I'm going through the build process.
I use the ESU Cab Control command station which contains presets in the accessory screen for all the different types of signals I plan to use. That is a good first step. Next is the signal decoder. I stuck with ESU for two reasons: I already have the lokprogrammer hardware/software which makes setting up the decoders a cinch (kind of... once one gets the hang of it) and the second reason being that again they have all the presets in the lokprogrammer for the signal types I plan to use.
So with all that it's a simple matter of firing up the programmer software then dragging and dropping the different presets on the screen where one can then follow the resulting wiring schematic or customize lighting outputs such as when a block signal and distance signal need to be setup to work in tandem. There was a bit of trial and error to start as this was my first time going through the process but mostly due to terminology and english not being the first language of whoever authored the manual.
Once the decoder is programmed I move it over to the command station, create the signal using their presets in the accessory panel and done... simple as that. Later I can add in block detection for the signals I want to automate.
Now that I've gone through the setup and am a bit more familiar with the signal decoder I'm finding that it can also be used for other layout lighting with or without special effects in place of NCE light it decoders I normally use. NCE has a few more built in effects but most can be simulated adjusting parameters in the signal pilot programming interface.
Summary: I have everything I need to get the signaling on the layout except a few more signals which are on backorder.
This setup is really slick and the signals themselves are top notch.
Yard shunting signal:
Yard exit signal:
So the other day I got some parts from Kato… but you already know that, I posted about it on the “Latest Purchase” thread. Well the other day I installed the new light board and a new coupler on the train wreck that is my Kato TGV Thalys. Well tonight I installed a decoder into the locomotive. It was NOT plug and play like it should have been. This set has lived a pretty rough existence so I had to basically rebuild the locomotive electrically, and secure the light board with capton tape. I finally got it good, so I decided to put the entire 10 car train on my little loop… and then the locomotive struggled to get around the loop. Once it got back to me, I found a truck that didn’t look right, and sure enough a bent wheel. Great… one more thing to repair.
@Massy... crap! Are you going to get all new axles for the truck or just the one that is bent? Maybe the insulation (plastic insulation ring) on the wheel has gone to poop?
I did a DCC upgrade to a steamer that I hadn't ran in years. Get it all installed and pickup was horrible. As I was taking it apart to investigate I noticed some of the plastic covering the pickup plates (engine and tender) looked a little melted. Then my memory came back that it had shorted on the track and fried the contact strips which is why I shelved it. This was over 10 years ago and back then I had to go through the dealer for parts which none were ever able to get for me. Now the manufacturer sells parts direct and fortunately I was still able to order what I needed. Super lucky as the pickup systems are usually the first thing to sell out and become unobtanium for these older locos.
So the axle itself is bent, the wheel is all good as far this has no traction tire or anything like that on it. The truck frame seems fine now that the axle is out of it. I’m hoping to just have to replace the one bad axle but we will see what I can find.
You know the old saying,,
"One bad axle ruins the bunch!"
(Sorry I couldn't keep that to myself.)
Applied decals and mirrors on the tractor.
One of the things that I really like about Micro-Trains products is that you can always get replacement parts for them.
When I noticed that a hatch had gone missing from one of my favorite covered hoppers I ordered some spares from the factory.
These came un-painted, about 15 in a small bag. I found a close enough match in my selection of paints.
After painting and installation, the covered hopper is ready to be returned to service.
That's really neat. I like the slowed pace of the signal aspect changes, with realistic dimming and brightening sequences just like the real thing.
Yeah, I'm super pleased with how well it works... ESU did an excellent job to the point where I see no need to change the default settings other than setting up night mode (that had some cool surprises too). Originally I was going to use all semaphore style signals but I had to try these more modern versions and glad I did... not to mention they are also less spendy lol.
Sound upgrade complete in the Kato M250. Added in a TCS power pack to help with dirty track spots. Zimo 8mmx12mm speaker/enclosure makes excellent sound/presence. I couldn't find video of a 250 sounding it's horn so I did a little extrapolating with other Japanese locos which many seem to use similar horns as to here in North America.


This low-set brick and tile family home on 639m2 offers a spacious and comfortable home to establish a family or an easy to rent option.
The home comprises of the following:
• The home features two living rooms suitable for the whole family. The tiled open plan living includes a formal lounge, kitchen, dining room and family room which flows out to an outdoor undercover pergola/entertaining area.
• Well set out kitchen with good fridge and pantry space, dishwasher, electric stove, oven and range hood and a breakfast bar making mornings and nights easier.
• All 4 bedrooms are fitted with built-in-cupboards and ceiling fans; the master bedroom has a walk in robe and an en-suite with 2nd toilet.
• The whole home has reverse cycle ducted air conditioning to keep you cool in summer and warm in winter.
• The main bathroom offers a bathtub and shower, with the toilet separate.
• Laundry accommodates space for your washer and dryer with cupboard space.
• There is a large fully fenced backyard with garden shed.
• Furthermore, the attached double bay, double lock up garage with 2-car driveway with remotes and internal access makes coming and going that much easier.
Certainly not to be overlooked by an investor! With all of the above, this is an appealing home to tenants and a low maintenance build which currently has fantastic tenants returning $320 per week.
Inspection highly recommended, phone now to arrange your inspection.
|R&H Suburb Summary||Houses|
|Number of sales||156|
|Median Rental Price||$330 p.w.|
|Change in Rental Rate (5yr)||10 %|
|R&H Suburb Summary||Units|
|Number of sales||6|
|Median Rental Price||$215 p.w.|
|Change in Rental Rate (5yr)||7 %|


This is a rare opportunity to own commercial property in the heart of Bemus Point. Located in the center of the Village Business District on the popular Main Street strip. High vehicle and foot traffic, stand out visibility and parking. Private fenced yard and entrance way. The main building offers 2200 sq. ft. of space on two floors with lots of display windows. There is an additional 600 square foot finished workshop and 1/5 bath in the rear of the building and a beautiful 600 sq. ft. 2nd floor studio with beamed cathedral ceilings, full kitchen and bath, hardwood floors, private deck and garage.
Don't worry! We'll never spam you or sell your details. You can unsubscribe whenever you'd like.
Listing Courtesy ofCentury 21 Turner Brokers


Acoustic Landmark technology makes any difference between sounds measurable. It uses a modular framework, morphometrics, to capture the behavior of any time-varying feature. First, sound recordings are converted into images in time-frequency-amplitude space. In this representation, sounds of interest are visible as distinct shapes. Our proprietary algorithms convert these shapes into landmarks in time-frequency-amplitude space. The more complex the sound, the more landmarks it needs to describe it. By describing every sound in a data set with the same number of landmarks, we can make direct, quantitative comparisons between qualitatively different sounds.


LD Series Autonomous Mobile Robots
Self-navigating autonomous Mobile Robot (AMR).
You are currently viewing the Omron| How 5G technology can expand your options for autonomous mobile robots page.
The world has been abuzz for the past couple of years over the deployment of 5G (short for “fifth generation”) networks. The topic came up in a recent episode of our podcast featuring special guest Mike Chen, Omron’s Senior Director of Solutions and Technology Development, and he provided insights into how 5G could transform automation.
One thing that came to mind immediately was the Omron autonomous mobile robot (AMR) solution. Let’s take a look at how these robots complete their tasks and how a 5G network can enhance their operation.
Omron AMRs have proprietary software and controls that let them intelligently navigate around people and unplanned obstacles. Designed for developers, integrators, and end users, an AMR system can be customized for a variety of applications and payloads and can be fully functional within a day.
Even without a 5G network, autonomous mobile robots are an extremely versatile solution that can optimizing routing and adapts to changing conditions on the fly. These fully autonomous, intelligent vehicles increase throughput, reduce machine dwell time, eliminate errors, improve material traceability, and allow employees to focus on tasks that require complex human skills.
Omron’s mobile robot technology has always been managed on a local network in a facility where everything must be on Wi-Fi and all the job assignments must be done via a Wi-Fi network. However, the space over which AMRs can be deployed will be even greater with a 5G network. In fact, 5G is expected to provide the following AMR-related benefits:
As 5G technology becomes more prevalent in the future, our customers will be able to utilize their private 5G networks to locate every single robot on their facility and securely manage all jobs without needing to create a predefined layout. Basically, this results in a layout-free facility where customers can physically optimize their production floor while deploying AMRs.
What’s great about a private 5G network is that it can be deployed with a much wider footprint. You’ll be able to deploy your robots in a wider space without having to be extremely careful about where the cutoff point is. With Wi-Fi, determining the cutoff point can require quite a bit of effort.
In addition, the built-in security measures that 5G technology enables are a major advantage. You can use the authentication function on the 5G network to make sure that the job assignment is being presented from the right source and that you’re reaching the right robot.
Interested in learning more about our AMR technology?
Mike Chen, Sr. Director of Solutions & Technology Development, joins hosts Carrie Lee and Kenny Heidel to talk about the evolution of factories with advanced production capabilities and other new tech...
How do we make sense of terms like Industry 4.0? More specifically, how do we turn these nebulous concepts into actions we can take to grow a business? Join Carrie Lee, Kenny Heidel, and special guest...


MAGNETIC COMPARATOR SUPPORT
Magnetic force 80kg (175 lb).
Universal model which can be used for indicators with or without "lug" on back plate.
An installation kit is needed for proper installation on your vehicle
Installion Kit Available
Choose your vehicle


A great space-saving solution for your home, the Vileda Viva dry bath airer can be placed on top of a bathtub, in a shower or as a standard dryer. Offering 10 metres of drying space, this indoor airer is easy to fold and assemble and can be moved when loaded via special twist grip hand grips.
Catalogue Number: 201-0837
- Easy to fold/assemble
- Can be moved when loaded
- For use on bath, in shower or as standard dryer


Shovel Knight is arguably one of the most important games of the last decade. It started as a simple Kickstarter game, but became so much more. And Yacht Club Games has expanded the franchise in many ways much to the delight of fans. But, the final DLC for the game, King of Cards and Shovel Knight Showdown, has been delayed many times. Including when it was REALLY close to release in April.
“Well, when Specter Knight came on the Switch and did really well, we were like ‘Woohoo, now we can do whatever we want with King of Cards’ and so it kind of turned into a big celebration of all the Shovel Knight games and all the things that we wanted to put in. Everything that didn’t make it in was because we didn’t have time or for some other reason. Basically, just like every idea that we ever had, we just stuffed it all into King of Cards. And so, as a result, it became this big, giant, overblown thing with a bunch of levels. It’s funny, and it’s strange, and there is a giant card game minigame. But that also kind of blew the schedule out a little bit.
There are the amiibos, Shovel Knight Showdown, and King of Cards, and we decided that none of those elements were gonna come out until all of those elements were ready. So that’s basically why we had a delay. We could’ve maybe only focused on King of Cards and gotten that out, but then we had to do Showdown, and we wanted to get the retail version of the game that has everything in the box. So we just are slowly pushing it all together, all at once, and then finally it’ll be ready to go. We didn’t want to get a date until we were sure, but it should be real soon.”
This may not be the answer you’re hoping for, but it is hope.


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The Control Kit allows you to monitor and control the whole home with any smartphone or tablet, whether you are at home or on the road. The kit includes a DECT-enabled hub unit, four smart plugs, two motion sensors and two window/door sensors, all of which can easily be monitored and controlled with the app on your smartphone and or tablet.
You can use your smartphone or tablet to access smart plugs and turn devices on or off remotely, or create a smart plug schedule to automatically turn lights and appliances on or off, for example turning a light on in the evening. Or, even configure the system to turn on a light or other electric device when your mobile device connects to your wireless router, such as when you return home from outside. Additionally, you can use your mobile device to view a record of a smart plug’s power consumption.
The motion sensors detect motion in the surrounding areas, and the window/door sensors detect when the corresponding window or door is opened. Alongside alerting your smartphone and or tablet, both can also trigger other actions, such as turning on a light.
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MLS® ID: 1642896
11857 Hitchcock Drive
Forest Park, Ohio, 45240 $149,900
Show Place! This BEAUTIFUL 3 bedroom home is just waiting for you to move in. Its features include an open transitional floor plan, updated kitchen with new stainless steel appliances, granite countertops, updated bathrooms,new furnace 2019, large rear yard, new carpet, and fresh paint throughout! This one won't last long, make an appt today!


Monitoring PM 2.5 Air quality dashboard
Like most people believe or think, Indoor air quality monitoring sensor data visualization tools is not just about knowing about visible pollutants like smoke or smog. Volatile Organic Compounds popularly abbreviated as VOC is difficult to trace and are extremely dangerous to human health. If exposed to on a daily basis, it can compound long-term health effects and can even hamper day-to-day activities. Hence it is important to monitor VOC and other harmful pollutants on a regular basis in order to ensure a productive industrial work environment. Proper ventilation of indoor spaces as a means to reduce exposure to SARS-CoV-2 has received considerable attention – an EU study
How Indoor air quality impacts the spread of infections
It is an alarming fact that the quality of the air has a large influence on industrial worker productivity. Studies and research conducted worldwide affirm the fact that the worse the air quality, productivity was directly proportional. Be it ozone levels outdoor or particulate matter (PM 2.5) indoors, both had a direct impact on worker efficiency and productivity. Maintaining good indoor air quality should be a priority across industries or verticals and I am sure you also might have felt uneasy while working in an environment with high levels of particulate matter.
What is Indoor air quality & wellbeing?
Though PM concentration level increase is a concern outdoors as well, the effect is much worse indoors due to poor ventilation. The particulate matter compounds are generally undetectable to the human eye but can have an adverse effect on health when inhaled. Most modern buildings are centrally air-conditioned and have generally a sealed environment.
Indoor Air quality, infection control, and virus protection
indoor air quality problems. This lack of ventilation will allow the particulate matter to settle inside the space which may be initially unharmful but can be harmful if rises to alarming levels. In most countries, this is becoming a major concern across each industry and vertical. The productivity issue is more so evident in public places such as hospitals, restaurants, warehouses, factories, etc, where the people move around in a confined area or space. As a result, they are constantly exposed to pollutants matters and thus the risk of virus spread.
Benefits of monitoring, and improving indoor air quality
Most companies still feel that anything related to indoor air quality monitoring improvement is a high-cost technology, and refrain from implementing the same. But the reality is vastly different, as studies have shown that companies that opted to implement methods to improve indoor air quality have saved close to $20 billion annually due to an increase in productivity. The sensor data visualization tool provides the necessary alerts and notifications.
Indoor air quality dashboard with sensor data visualization tools
What is acceptable indoor air quality dashboard alert ? The primary aim of any company should be to curb the pollutants in any which way possible. But no matter how much you try to clean your indoors and even HVAC units, there would be a residual particulate matter that affects the air quality. Especially on a factory floor, where there would be work going on 24*7, it is y important to know the level of particulate & CO2 levels at a given point in time. Proper ventilation is extremely important, and one must ensure that there should be a constant flow of air inside the premises. Our Bluetooth sensors provide alerts when the indoor air quality turns poor, so the operations take corrective measures. Integrating our sensor modules into existing BMS solutions through the MQTT API will help in controlling exhaust fans and other air control devices.
My indoor air quality dashboard – Global studies have pointed out that indoor air quality can play a big part in improving well-being and reducing the spread of viruses and infections. But for that, the organization must have technologies deployed to monitor IAQ values at regular intervals. Indoor air quality monitoring solutions can help you assess vital data which in turn can aid in improving your organization through reduced absenteeism, healthcare costs, loss of productivity, etc. To summarize, the better the indoor quality of air, the greater the workforce productivity and well-being and the reduced risk of infection and virus spread.
Call us to know more about Indoor air quality in schools, and monitoring dashboard solutions.


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Published on Feb 6, 2016
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Our client’s journey with the Ooyala Video publishing platform continues on. One of the techniques they wanted to employ was to incorporate video into the order pages to reinforce the purchase call to action. Specifically, they wanted to incorporate the Ooyala video onto an Infusionsoft order form.
One of Ooyala’s great strengths is that you can measure the consumption of your video content not only by views but by how long people spend watching the video. This can be useful to fine tune your messaging and to make sure you’re not losing your audience.
Whither Ooyala HTTPS Support
The Ooyala player API documentation and embeds provided through the backlot system are all HTTP links. This of course creates an issue when mixed on a secure HTTPS page where you’re processing credit cards as some browsers may emit warnings to the user that the web page is not secure.
The solution in this case was to use the undocumented Ooyala HTTPS player. The normal HTTP player is located at http://player.ooyala.com. By changing references from this domain to https://www.ooyala.com, you can make the player run without causing error messages or warnings.
Standard Player: http://player.ooyala.com/player.js
Secure HTTPS Player: https://www.ooyala.com/player.js
Ooyala Player API Documentation: http://www.ooyala.com/support/docs/player_api


Smart QR collar tags to get your pet home safely
Custom framing made simple
Thief-like isometric RPG by ex Witcher developers
Sleep at the push of a button! Now with "Focus"
Larian studios releases the sequel to it's masterpiece RPG.
Get rewarded for your healthy habits
Intelligently create, route and automate work.
Commando style strategy stealth game set in Feudal Japan.
Learn how to code on your iPhone📱
A nostalgic, classic SNES era styled JRPG for PC and PS4.
The creator of Metal Gear returns with a naked Norman Reedus
One of The Lone Gunmen joins Kumail to talk show history
Auto adjust your iOS display based on the time of day
First large expansion to The Witcher 3.
15 all new Emoji Masks (happy Halloween!)
Roguelike 2D shooter set in the future
3rd Installment of the Starcraft 2 Franchise
From the creators of Amnesia: The Dark Descent comes SOMA, …
Classic Forgotten Realms DnD based cRPG. Possibly the best.
Full revamp of the classic Forgotten Realms DnD based cRPG.


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UltraFlex performing efficient induction annealing for steel and nickel parts
The customer sent two tube samples for induction heating evaluation - a large steel tube with size L150mm, OD16mm, ID10mm, and a small tube made of nickel alloy, with size L 121mm, OD8mm, ID 4mm, each of them split in two parts in the middle.
For this induction heating application, the customer required that 20 mm of the total length of the tubes be preheated for 7-8 sec, to a target temperature of 450°C, and this temperature maintained for 20 seconds. It was important to ensure uniform heating and reliable temperature maintenance.
For this induction heating scenario UltraFlex engineers recommended the use of an induction heater from the UltraFlex UltraHeat S series. UltraHeat S are small and efficient 2kW induction heaters that operate with a water-cooled or air-cooled remote heat station. All systems utilize the latest switching power supply technology and adaptive digital phase control, which efficiently operate in wide frequency ranges.
The efficiency of two different induction coils had been evaluated in this induction heating scenario. At kW of power, the preheat cycle for the smaller tube was accomplished within 7 seconds and for the bigger tube - within 8 seconds. The target temperature was then successfully maintained for the desired time of 20 seconds. The reach of the target temperature, as well as the maintenance of the temperature to no less than 427°C had been confirmed via tempilaq paint.
By using temperature profiles for the heating of both parts, the customer could automate this process and ensure repeatable and consistent results, with no dependency on the operator skills. Furthermore, if a custom induction coil is designed for the heating of each tube, the heating process efficiency could be increased even more.
Finally, thanks to the lack of open flame and noxious emissions, this heating process would be completely safe - safe for the operator and for the environment.
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About UltraFlex Power Technologies:
UltraFlex Power Technologies (ultraflexpower.com)
UltraFlex Power Technologies


Sydney George Smith
Bust portrait of politician Sydney George Smith. Sydney is shown wearing a dark jacket and waistcoat over a light shirt with a dark bowtie. The background is completely dark.
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Fingergrip Scourers Red 130x70x40mm Pk10 | CX81410
£7.55 Ex VAT
A dual textured scourer featuring a tough abrasive surface on one side that can cut through grease and dried on food whilst the reverse side has a foam sponge that is great for soaking up water or wiping down delicate surfaces. The dual action is a perfect tool to keep your kitchen clean and sparkling, featuring a finger grip for comfortable use.
Availability: 66 in stock


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Londa has 3 tier graves on the tall cliff face. If you look carefully, you can see the coffins inside the natural limestone caves (or holes when it is looked form far away).
Only the nobleman were allowed to be ‘placed’ at higher spot (= higher rank?). Since I am no Spiderman, I couldn’t access the top but yes to the cave at the bottom of the hill.
The first interesting sight is a balcony with family members ‘gathered’ together and gazed to the open field.
As the nearest site to Rantepao town center, Kete Kesu has few interesting objects to offer.
Ignore the dogs, the good stuff are behind the padi fields. The tongkonan houses. Tongkonan houses shape like the horns of a buffalo or a boat. They are the places for community folks to gather, as well storage for the harvest. I will show you more about the construction of tongkonan in other post.
Behind the tongkonan houses are the hanging grave.
I travelled 10 hours bus ride from Makassar, just to see the unique Torajan burial culture.


The STIL, LLC leased 1,785 square feet of retail space in Riverpointe Place, located in Suite 111 at 3724 S. Eckert Road in Boise, Idaho.
Eyemart Express leased 3,190 square feet of retail space located at 4013 Yellowstone in Pocatello, Idaho. Bob Mitchell, CSM of Thornton Oliver Keller Commercial Real Estate represented the tenant. Andrea Nilson, LeAnn Hume and Sara Shropshire of Cushman Wakefield Pacific represented the landlord.
Happy Teriyaki leased 1,500 square feet of restaurant space in Emmett Plaza, next to Albertsons, located at 620 Highway 16 in Emmett, Idaho.
Moe Joe's Breakfast Eatery renewed their 2,401 square foot lease at El Dorado Marketplace, located at 2951 E. Overland Road in Meridian, Idaho.
Pets Best leased 3,772 square feet of office space in Oak Park Plaza, located at 2323 S. Vista Avenue in Boise, Idaho.
Keystone Hospice leased 6,300 square feet of office space in Eagle Island Crossing located at 17-21 N. Fisher Park Way in Eagle, Idaho.
SBJ, LLC leased industrial space in the Cloverdale 9 building, located at 1243 W. Executive Drive in Boise, Idaho.
Obsidian Investments, LLC purchased a Napa Auto Parts store located at 1504 N. Wildwood Way in Boise, Idaho.
Confidential Background Investigations leased 988 square feet of office space in Lakeharbor, located at 3050-3250 N. Lakeharbor Lane in Boise, Idaho.


In today’s digital landscape, e-commerce has become a crucial part of many businesses’ strategies, and it’s essential to monitor and enhance the checkout experience to maximize sales and customer satisfaction.
The Checkout Journey report in GA4 is specifically tailored to address these needs.
Table Of Content
What is Checkout Journey report?
Checkout Journey report is a valuable tool for website owners and marketers to understand how users navigate through the checkout process on their website. This report provides insights into the steps users take as they progress from adding items to their cart to completing a purchase.
The funnel in the Checkout journey report is a closed funnel; it includes only users who began at the first step (the Begin checkout step) and didn’t begin at another step in the funnel.
Utilizing the Checkout Journey Report
The Checkout Journey Report serves as a valuable tool in assessing and optimizing the checkout process within your digital commerce ecosystem. It plays a pivotal role in recognizing potential bottlenecks that may hinder a seamless checkout experience for your customers. Identifying these issues is instrumental in enhancing user satisfaction and ultimately boosting conversions.
Accessing the Report
To access the Checkout Journey Report and leverage its insights, follow these steps:
- Sign in to Google Analytics: Begin by logging into your Google Analytics account to gain access to the suite of analytical tools and reports.
- Navigate to Reports: From the left-hand menu, locate and click on the “Reports” section.
- Select the Checkout Journey Report: Within the “Reports” section, you’ll find the Checkout Journey Report categorized under either the “Monetization” topic within the “Life Cycle” collection or the “Drive Online Sales” topic within the “Business Objectives” collection.
It is imperative to understand the data sources that fuel the Checkout Journey Report. To ensure the report provides meaningful insights, the following ecommerce events must be correctly implemented within your online store:
- begin_checkout: This event corresponds to the initiation of the checkout process and is responsible for populating the “Begin Checkout” step within the report.
- add_shipping_info: As users progress through the checkout, the entry of shipping information triggers this event, thereby populating the “Add Shipping” step in the report.
- add_payment_info: When customers input payment details during the checkout process, the “Add Payment” step is populated within the report through this event.
- purchase: The final step in the checkout journey, “Purchase,” is populated with data from this event. It signifies the successful completion of the transaction.
Understanding the Checkout Journey Report
The Checkout Journey Report is a handy tool that comes equipped with a funnel chart and a data table, making it easier for you to analyze and break down your data in a structured manner.
1. Identifying Abandoned Steps
One of the key insights you can gain from this report is understanding how many users abandoned each step in the checkout process. We measure this using something called the “Abandonment Rate,” which you’ll find right below each bar that represents a step in the funnel.
For example: If you had 1000 users who successfully completed the first step but only 700 users moved on to the next step, then the abandonment rate for the first step would be 300, which is also equivalent to 30% (since it’s a percentage).
2. Tracking User Retention
On the flip side, we also want to know how many users were retained after each step, and we use the “Retention Rate” to measure this. You can spot the retention rate in the header of the next step in the process.
For instance: In our previous example, where 1000 users completed the first step and 700 moved on to the next, the header in the next step would display a retention rate of 70%.
3. Getting Detailed Information
The report also allows you to dive into more detailed information. When you hover your cursor over a specific step in the report, you’ll see the exact number of users who successfully completed that particular step.
For example: In our scenario, when you hover over the first step, you’ll see that 1000 users completed it, and when you hover over the next step, you’ll see that 300 users made it to that point.
Dimensions in the report
You can choose from the following dimensions, which update the dimension values in the table.
|Dimension||What it is||How it’s populated|
|Browser||The browser from which user activity originated. Typical browsers include ‘Chrome’, ‘Edge’, ‘Firefox’, ‘Internet Explorer’, ‘Opera’, and ‘Safari’.||This dimension is populated automatically.|
|City||The city from which user activity originates. For example, if someone visits your website from New York City, the text ‘New York’ populates the dimension.||This dimension is populated automatically.|
|Country||The country from which user activity originated. For example, if someone visits your website from the United States, the text ‘United States’ populates the dimension.||This dimension is populated automatically.|
|Device category||The type of device from which user activity originated. Device categories include ‘desktop’, ‘mobile’, and ‘tablet’.
This is the default dimension in the report.
|This dimension is populated automatically.|
|Language||The name of the language of a user’s browser or device (e.g., ‘French’, ‘English’).||This dimension is populated automatically.|
|Region||The geographic region from which user activity originated. For example, if someone visits your website from New York City, the text ‘New York’ populates the dimension. If someone visits your website from England, the text ‘England’ populates the dimension.||This dimension is populated automatically.|
In conclusion, GA4’s Checkout Journey Report is a powerful tool for e-commerce businesses to gain deep insights into user behavior during the checkout process. By leveraging the data and strategies outlined in this blog, you can optimize your online store, reduce cart abandonment, and ultimately drive higher conversions and profits.
New to GA 4?
Visit our GA4 guide today and embark on a journey to data enlightenment. Let’s transform your online presence together


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The 12" Twin Memory Foam mattress by Sierra Sleep, model M72711, is an exceptional sleep essential that combines superior comfort with innovative technology. Crafted with precision and care, this mattress is designed to provide an unparalleled sleeping experience.
One of the key features of the 12" Twin Memory Foam mattress is its plush yet supportive construction. It consists of multiple layers of high-quality memory foam that contour to the shape of your body, ensuring maximum comfort and reducing pressure points. The top layer is infused with gel beads, which work in conjunction with the memory foam to regulate temperature and keep you cool throughout the night, promoting uninterrupted and rejuvenating sleep.
The memory foam used in this mattress is of the highest quality, carefully chosen for its exceptional durability and resilience. This ensures that the mattress retains its shape and supportive properties even after years of use. Its hypoallergenic nature also makes it ideal for individuals with allergies or sensitivities, as it repels dust mites and other common allergens.
The Twin size of this mattress is perfect for individuals who prefer a single sleeping space or those seeking a mattress for a guest room or child's bedroom. Its 12" height offers ample support and cushioning, catering to a wide range of sleeping preferences and positions. Plus, the Twin size provides the added benefit of easy maneuverability and versatility, making it a practical choice for various room sizes and layouts.
Furthermore, the Sierra Sleep 12" Twin Memory Foam mattress is meticulously manufactured to meet the highest standards of quality and safety. It undergoes rigorous testing and is CertiPUR-US® certified, guaranteeing that it is free from harmful chemicals and substances like formaldehyde, heavy metals, and ozone depleters. This certification ensures peace of mind, knowing that you are sleeping on a healthy and environmentally conscious product.
In addition to its remarkable features, the 12" Twin Memory Foam mattress boasts a visually appealing design. Its neutral and elegant fabric cover complements any bedroom decor and adds a touch of sophistication to your space. The cover is also removable and easy to clean, allowing for effortless maintenance and longevity.
Experience the ultimate in comfort and support with the Sierra Sleep 12" Twin Memory Foam mattress. Its unrivaled construction, luxurious feel, and exceptional durability make it a worthwhile investment in your overall well-being and sleep quality. Elevate your nighttime routine to new heights and wake up revitalized every morning with this exceptional sleep solution.


Modular Homes Sales
Modular homes have been popular since the first types of easily transported homes have been in use since the early 1920’s. People appreciated the fact that they could move around with all the conveniences of home attached to their wagons in the form of wagon trailers. As time advanced, so did the technologies of these mobile homes, but there are certain events throughout history that have created spikes in modular homes sales from these early periods to the present.
When they were first introduced on the market in the 1920’s, the forerunner to the modern day modular home was an instant success. The novelty and convenience of these additions were not lost on the general public. They offered people a great benefit and were fairly innovative for the time, since they offered such a large storage space and since people wanted to be able to travel more freely, these devices really helped them with their plans. Sales stayed pretty level until after the second world war, when there was once again an explosion in sales of the next stage of evolution in terms of the modular home: the mobile home.
When soldiers returned home from the war, they were disappointed to find housing lacking, and the housing that was available was usually far too expensive for them to be able to afford. This was quite discouraging until the market was supplied with a cheap, effective alternative. The mobile home was introduced and was very popular among the young men who had returned home from the war. They were much less expensive than stable homes but they were also sized well enough to accommodate an entire family within the confines of the mobile home. Since work was always in question it was very convenient to be able to pick up and move your whole family to be relocated wherever the work was.
As the 1980’s approached, the mobile home had gone through a series of changes within the last decade. From the lost of the wheels that made them mobile, to the introduction of the custom designed floor plans, the modular homes sales began to increase again with the promise of stability, reliability and comfort. But towards the end of this decade things began to level out in terms of sales, and many companies felt the hurt of this decline.
In the late fall months of 2005, modular homes sales increased sharply. This was due to the reaction that was in place due to the aftermath of Hurricane Katrina. The modular homes sales increased so rapidly because FEMA, insurance companies and other corporate identities were trying to make up for the damages incurred by many of the southern residents who lost their homes during the hurricane. As a result, many of the surviving victims were given trailers or modular homes, which was what produced the sharp increase in the modular homes sales that many companies noticed that quarter.Natural and man made disasters have been the causes to a great extent when it come to the increase of different types of manufactured homes sales figures. It is unsure for certain what may cause the next spike or decline, but with the regulations in effect in regards to the modular homes, people can rest assured that the companies will be able to handle the demands efficiently and effectively.