Abstract: A wireless data relay has radio circuitry to wirelessly scan a frequency band having frequency channels. The radio circuitry attaches to a wireless network over the frequency band. The radio circuitry receives signaling from the wireless network indicating allowed frequency channels and transfers the signaling to control circuitry. In the wireless data relay, the control circuitry processes the signaling to direct the radio circuitry to use the allowed frequency channels instead of the frequency band. In response, the radio circuitry wirelessly scans the allowed frequency channels instead of the frequency band. The radio circuitry wirelessly re-attaches to the wireless communication network over the allowed frequency channels. The radio circuitry exchanges user data with the UEs. The radio circuitry exchanges the user data with the wireless network over the allowed frequency channels.

Abstract: The present disclosure relates to a conductive Solid Oxide Fuel Cell (SOFC) electrolyte composition that is compatible with Low Temperature Co-fired Ceramic (LTCC). The conductive SOFC electrolyte composition comprises gadolinium doped ceria, glass composite and additives. The conductive SOFC electrolyte composition is physically and chemically compatible with the LTCC. A process for preparing a conductive SOFC electrolyte composition is also provided in the present disclosure.

Abstract: A system detects a parameter and generates a first trip plan to automatically control the vehicle according to a first trip plan. A controller is connected to a sensor and configured to receive the parameter. The controller is configured to generate a new trip plan or modify the first trip plan into a modified trip plan based on at least one of a cumulative damage or an end of life. A new trip plan or the modified trip plan is configured, during operation of the vehicle according to the new trip plan or the modified trip plan, for at least one of an adjustment in velocity or avoiding one or more operating conditions of the vehicle, relative to the first trip plan.

Abstract: The present disclosure provides a glass ceramic composite electrolyte comprising gadolinium doped ceria and glass composite with desired ionic conductivity in the temperature range of 400 to 600° C., suitable for applications in solid oxide fuel cells. Also disclosed is a process for the preparation of the glass ceramic composite electrolyte.

Abstract: A low temperature co-fired ceramic substrate miniature fuel cell and manufacturing method therefor is disclosed. The method can be used for rapid, flexible and precise fabrication of gas distribution network as well as for a conventional membrane electrode assembly, for providing high power density. The construction results in a light weight assembly offering 5 optimum cavity for robust set-up and planar series configuration as compared to other established methods of fabrication.

Abstract: A drain valve (10) is described comprising a housing (11), a fluid inlet (12), a gas outlet (13) and at least one liquid outlet orifice (19) arranged in a liquid outlet member (20) of the housing (11). The drain valve (10) furthermore comprises a float (16) connected to a lever (17) on a first end (18). The float (16) is arranged in a float chamber (15) of the housing (11). The float chamber (15) is connected to the fluid inlet (12), the gas outlet (13) and the at least one liquid outlet orifice (19). The liquid outlet orifice (19) may be opened or closed by a closing member (21) that is connected to a second end (22) of the lever (17) and is rotatably connected to the liquid outlet member (20). If a liquid is arranged in the float chamber (15) a rise in the liquid level will result in a lift of the float (16) whereby the closing member (21) is rotated to a more open position of the at least one liquid outlet orifice (19) and vice versa.

Abstract: A system detects a parameter and generates a first trip plan to automatically control the vehicle according to a first trip plan. A controller is connected to a sensor and configured to receive the parameter. The controller is configured to generate a new trip plan or modify the first trip plan into a modified trip plan based on at least one of a cumulative damage or an end of life. A new trip plan or the modified trip plan is configured, during operation of the vehicle according to the new trip plan or the modified trip plan, for at least one of an adjustment in velocity or avoiding one or more operating conditions of the vehicle, relative to the first trip plan.

Abstract: This disclosure relates generally to quality evaluation of collaborative text input, and more particularly to system and method for quality evaluation of collaborative text inputs using Long Short Term Memory (LSTM) networks. In one embodiment, the method includes receiving an input data associated with a task to be accomplished collaboratively and sequentially by a plurality of contributors. The input data includes task-wise data sequence of contributor's post-edit submissions. A plurality of features are extracted from the input data. Based on the plurality of features, a plurality of input sequences are constructed. The input sequences include a plurality of concatenated feature vectors, where each of the concatenated feature vectors includes a post-edit feature vector and a contributor representation feature vector. The input sequences are modelled as a LSTM network, where the LSTM network is utilized to train a binary classifier for quality evaluation of the post-edit submission.

Abstract: The present disclosure provides a biodegradable and compostable multilayer film. The biodegradable and compostable multilayer film comprises a sealant product side layer comprising at least one slip additive and having a pre-determined co-efficient of friction, an outer surface layer, and at least one intermediate layer disposed between the sealant product 5 side layer and the outer surface layer. The biodegradable and compostable multilayer film of the present disclosure has good mechanical properties and is non-reactive with tobacco based products, medicines, and food products to be packaged.

Abstract: A system detects a parameter and generates a first trip plan to automatically control the vehicle according to a first trip plan. A controller is connected to a sensor and configured to receive the parameter. The controller is configured to generate a new trip plan or modify the first trip plan into a modified trip plan based on at least one of a cumulative damage or an end of life. A new trip plan or the modified trip plan is configured, during operation of the vehicle according to the new trip plan or the modified trip plan, for at least one of an adjustment in velocity or avoiding one or more operating conditions of the vehicle, relative to the first trip plan.

Abstract: A method for forming track(s) on low temperature co-fired ceramic (LTCC) substrate, the method comprising the steps of, forming a layer of coating material on an operative face of the LTCC substrate, disposing a stencil on the layer of coating material thereby covering a selected portion of the layer of coating material while leaving exposed a portion of the layer of coating material corresponding to the track(s) to be formed and forming an assembly of the LTCC substrate, the layer of coating material and the stencil, eroding the exposed portion of the layer of coating material by propelling an abrasive material using a blasting gun towards the assembly on the face on which the layer of coating material is formed and the stencil is disposed and separating the stencil from the abraded assembly, wherein the abrasive material has a composition that is compatible with that of the LTCC substrate.

Abstract: This disclosure relates generally to quality evaluation of collaborative text input, and more particularly to system and method for quality evaluation of collaborative text inputs using Long Short Term Memory (LSTM) networks. In one embodiment, the method includes receiving an input data associated with a task to be accomplished collaboratively and sequentially by a plurality of contributors. The input data includes task-wise data sequence of contributor's post-edit submissions. A plurality of features are extracted from the input data. Based on the plurality of features, a plurality of input sequences are constructed. The input sequences include a plurality of concatenated feature vectors, where each of the concatenated feature vectors includes a post-edit feature vector and a contributor representation feature vector. The input sequences are modelled as a LSTM network, where the LSTM network is utilized to train a binary classifier for quality evaluation of the post-edit submission.

Abstract: Methods and systems are provided related to an emissions control system. The emissions control system has an exhaust after-treatment system defining a plurality of distinct exhaust flow passages through which at least a portion of an exhaust stream can flow, e.g., the exhaust stream is produced by an engine. The emissions control system also includes a controller for controlling injection of reductant into the exhaust stream flowing through each of the flow passages. In one example, the emissions control system is configured for use in a vehicle, such as a locomotive or other rail vehicle.

Abstract: System and method for layer-wise training of deep neural networks (DNNs) are disclosed. In an embodiment, multiple labelled images are received at a layer of multiple layers of a DNN. Further, the labelled images are pre-processed. The pre-processed images are then transformed based on a predetermined weight matrix to obtain feature representation of the pre-processed images at the layer, the feature representation comprise feature vectors and associated labels. Furthermore, kernel similarity between the feature vectors is determined based on a predefined kernel function. Moreover, a Gaussian kernel matrix is determined based on the kernel similarity. In addition, an error function is computed based on the predetermined weight matrix and the Gaussian kernel matrix. Also, a weight matrix associated with the layer is computed based on the error function and predetermined weight matrix, thereby training the layer of the multiple layers.

Abstract: Methods and systems are provided related to an emissions control system. The emissions control system has an exhaust after-treatment system defining a plurality of distinct exhaust flow passages through which at least a portion of an exhaust stream can flow, e.g., the exhaust stream is produced by an engine. The emissions control system also includes a controller for controlling injection of reductant into the exhaust stream flowing through each of the flow passages. In one example, the emissions control system is configured for use in a vehicle, such as a locomotive or other rail vehicle.

Abstract: Various methods and systems are provided for a variable geometry ported shroud for a turbocharger. In one example, a compressor system includes a compressor housing defining an air inlet, a shroud, and a bypass passage, a compressor wheel housed in the compressor housing and surrounded by the shroud, only a single port passing through the shroud and fluidically coupled to the bypass passage, and a ring configured to move axially to adjust a restriction of the port.

Abstract: Various systems are provided for supporting an exhaust gas treatment system vertically above an engine in an engine system. In one example, an engine system includes an engine; a support structure including a base and a plurality of mounting legs, a first end of each mounting leg of the plurality of mounting legs coupled to the base and an opposite, second end of each mounting leg of at least a portion of the plurality of mounting legs coupled to the engine, where at least three mounting legs of the plurality of mounting legs and the base form two triangles within a same plane of the support structure; and an exhaust gas treatment system positioned vertically above and mounted on the engine via the support structure.

Abstract: The present application provides a method and system for unsupervised word image clustering, comprises capturing one or more image wherein the one or more image comprises at least one word images. Extracting at least one feature vector using an untrained convolution neural network architecture, wherein the convolution filters are initialized by random filter based deep learning techniques using Gaussian random variable with zero mean and unit standard deviation, and wherein the convolution filters are constrained to sum to zero. The extracted feature vectors are used for clustering, wherein clustering is performed in two stages. First stage includes clustering word images which are similar using a graph connected component. Second stage clustering includes clustering a remaining word images which are not clustered during the first stage by evaluating the remaining images against the clusters formed during the first stage and assigning them to clusters based on the evaluation.

Abstract: A method for forming track(s) on low temperature co-fired ceramic (LTCC) substrate, the method comprising the steps of, forming a layer of coating material on an operative face of the LTCC substrate, disposing a stencil on the layer of coating material thereby covering a selected portion of the layer of coating material while leaving exposed a portion of the layer of coating material corresponding to the track(s) to be formed and forming an assembly of the LTCC substrate, the layer of coating material and the stencil, eroding the exposed portion of the layer of coating material by propelling an abrasive material using a blasting gun towards the assembly on the face on which the layer of coating material is formed and the stencil is disposed and separating the stencil from the abraded assembly, wherein the abrasive material has a composition that is compatible with that of the LTCC substrate.

Abstract: Methods and systems are provided related to an emissions control system. The emissions control system has an exhaust after-treatment system defining a plurality of distinct exhaust flow passages through which at least a portion of an exhaust stream can flow, e.g., the exhaust stream is produced by an engine. The emissions control system also includes a controller for controlling injection of reductant into the exhaust stream flowing through each of the flow passages. In one example, the emissions control system is configured for use in a vehicle, such as a locomotive or other rail vehicle.