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1. 发明申请

WO2022195976A1 APPARATUS AND METHOD FOR ANOMALY DETECTION 审中-公开
公开(公告)号：WO2022195976A1
公开(公告)日：2022-09-22
申请号：PCT/JP2021/044597
申请日：2021-11-30
申请人： MITSUBISHI ELECTRIC CORPORATION
发明人： WANG, Ye , KIM, Kyeong Jin , WANG, Xiao
IPC分类号： G06N3/04 , G06N3/08 , G06N20/00
摘要： An anomaly detector for detecting anomaly in input data comprises an auto-encoder trained to encode the input data and decode the encoded input data to reconstruct the input data. Further, the anomaly detector comprises a classifier trained to determine a reconstruction loss indicative of a difference between the accepted input data and the reconstructed input data, where the reconstruction loss includes a weighted combination of a plurality of loss functions evaluating reconstruction losses of a plurality of parts of the reconstructed input data, different types of loss functions, or both. The classifier is further configured to detect an anomaly in the reconstructed input data when the reconstruction loss is above a threshold.

2. 发明申请

WO2022004057A1 AUTOMATED CONSTRUCTION OF NEURAL NETWORK ARCHITECTURE WITH BAYESIAN GRAPH EXPLORATION 审中-公开
公开(公告)号：WO2022004057A1
公开(公告)日：2022-01-06
申请号：PCT/JP2021/008847
申请日：2021-02-26
申请人： MITSUBISHI ELECTRIC CORPORATION
发明人： AKINO, Toshiaki , WANG, Ye , DEMIR, Andac , ERDOGMUS, Deniz
IPC分类号： G06N3/04 , G06N3/08 , G06N7/00 , G06N3/0454 , G06N3/0472 , G06N3/082 , G06N7/005
摘要： A system for automated construction of an artificial neural network architecture is provided. The system includes a set of interfaces and data links configured to receive and send signals, wherein the signals include datasets of training data, validation data and testing data, wherein the signals include a set of random number factors in multi-dimensional signals X, wherein part of the random number factors are associated with task labels Y to identify, and nuisance variations S. The system further includes a set of memory banks to store a set of reconfigurable deep neural network (DNN) blocks, hyperparameters, trainable variables, intermediate neuron signals, and temporary computation values including forward-pass signals and backward-pass gradients. The system further includes at least one processor, in connection with the interface and the memory banks, configured to submit the signals and the datasets into the reconfigurable DNN blocks, wherein the at least one processor is configured to execute a Bayesian graph exploration using the Bayes-Ball algorithm to reconfigure the DNN blocks such that redundant links are pruned to be compact by modifying the hyperparameters in the memory banks. The system realizes nuisance-robust variational Bayesian inference to be transferable to new datasets in semi-supervised settings.

3. 发明申请

WO2023062902A1 METHOD AND SYSTEM FOR TRAINING A NEURAL NETWORK FOR GENERATING UNIVERSAL ADVERSARIAL PERTURBATIONS 审中-公开
公开(公告)号：WO2023062902A1
公开(公告)日：2023-04-20
申请号：PCT/JP2022/027960
申请日：2022-07-11
申请人： MITSUBISHI ELECTRIC CORPORATION
发明人： WANG, Ye , AERON, Shuchin , RAKIN, Adnan , AKINO, Toshiaki , MOULIN, Pierre , PARSONS, Kieran
IPC分类号： G06N3/08 , G06N3/04
摘要： Embodiments of the present disclosure disclose a method and a system for training a neural network for generating universal adversarial perturbations. The method includes collecting a plurality of data samples. Each of the plurality of data samples is identified by a label from a finite set of labels. The method includes training a probabilistic neural network for transforming the plurality of data samples into a corresponding plurality of perturbed data samples having a bounded probability of deviation from the plurality of data samples by maximizing a conditional entropy of the finite set of labels of the plurality of data samples conditioned on the plurality of perturbed data samples. The conditional entropy is unknown. The probabilistic neural network is trained based on an iterative estimation of a gradient of the unknown conditional entropy of labels. The method further includes generating the universal adversarial perturbations based on the trained probabilistic neural network.

4. 发明申请

WO2015068642A1 METHOD FOR CLASSIFYING DATA TO DETERMINE HIDDEN STATES OF SYSTEM WHILE PRESERVING PRIVACY 审中-公开
标题翻译：分类数据以确定保护隐私的系统隐藏状态的方法
公开(公告)号：WO2015068642A1
公开(公告)日：2015-05-14
申请号：PCT/JP2014/079008
申请日：2014-10-27
申请人： MITSUBISHI ELECTRIC CORPORATION
发明人： WANG, Ye , XIE, Qian , RANE, Shantanu
IPC分类号： G06F21/62 , G06K9/62 , G06F17/30
CPC分类号： H04L67/02 , G06F17/30539 , G06F21/6245 , G06K9/6297 , G06K2009/00953
摘要： A method classifies data to determine hidden states of a system, by first randomly permuting the data and inserting client to generate private data. A server classifies the private data according to a hidden Markov model (HMM) to obtain permuted noisy estimates of the states and the chaff, which are returned to the client. The client then removes the chaff, inverts the permuted noisy estimates to obtain unpermuted noisy estimates of the states.
摘要翻译：一种方法是通过首先随机排列数据并插入客户端以生成私有数据来对数据进行分类以确定系统的隐藏状态。服务器根据隐马尔可夫模型（HMM）对私有数据进行分类，以获得返回给客户端的状态和谷壳的置换噪声估计。然后，客户端删除谷壳，反转了置换的噪声估计值，以获得不受限制的状态噪声估计。

5. 发明申请

WO2022234702A1 GENERATIVE MODEL FOR INVERSE DESIGN OF MATERIALS, DEVICES, AND STRUCTURES 审中-公开
公开(公告)号：WO2022234702A1
公开(公告)日：2022-11-10
申请号：PCT/JP2022/004986
申请日：2022-02-02
申请人： MITSUBISHI ELECTRIC CORPORATION
发明人： KOJIMA, Keisuke , AKINO, Toshiaki , TANG, Yingheng , WANG, Ye
IPC分类号： G06N3/04 , G06N3/08 , G06F30/27 , G02B6/125
摘要： A photonic device for splitting optical beams includes an input port configured to receive an input beam having an input power, a power splitter including perturbation segments arranged in a first region and a second region of a guide material having a first refractive index, each segment having a second refractive index, wherein the first region is configured to split the input beam into a first beam and a second beam, wherein and the second region is configured to separately guide the first and second beams, wherein the first refractive index is greater than the second refractive index, and output ports including first and second output ports connected the power splitter to respectively receive and transmit the first and second beams.

6. 发明申请

WO2022190721A1 MULTI-BAND WI-FI FUSION FOR WLAN SENSING FIELD 审中-公开
公开(公告)号：WO2022190721A1
公开(公告)日：2022-09-15
申请号：PCT/JP2022/004143
申请日：2022-01-21
申请人： MITSUBISHI ELECTRIC CORPORATION
发明人： WANG, Pu , YU, Jianyuan , AKINO, Toshiaki , WANG, Ye , ORLIK, Philip
IPC分类号： H04W16/00 , H04W24/08 , H04W64/00 , H04W84/12 , G01S5/02
摘要： A system for fusion of Wi-Fi measurements from multiple frequency bands to monitor indoor and outdoor space is provided. The system includes a multi-band wireless network comprising a set of radio devices to provide coverage in an environment, wherein the set of radio devices are configured to establish wireless communication or sensing links over multi-band wireless channels, wherein the multi-band wireless channels use a first radio band at a millimeter wavelength and a second radio band at a centimeter wavelength. The system further includes a computing processor communicatively coupled to the set of radio devices and a data storage, wherein the data storage has data comprising a parameterized model, modules and executable programs. The computing processor is configured to receive measurement data over the multi-band wireless channels to obtain a set of heterogeneous sensor data, network transferred data, or wireless channel attribute data, fuse at least two types of measurements from the first and the second radio bands at one or more steps in a parameterized model to generate an estimated environmental state in the environment.

7. 发明申请

WO2022176319A1 PROTOGRAPH QUASI-CYCLIC POLAR CODES AND RELATED LOW-DENSITY GENERATOR MATRIX FAMILY 审中-公开
公开(公告)号：WO2022176319A1
公开(公告)日：2022-08-25
申请号：PCT/JP2021/044603
申请日：2021-11-30
申请人： MITSUBISHI ELECTRIC CORPORATION
发明人： AKINO, Toshiaki , WANG, Ye
IPC分类号： H03M13/13 , H03M13/11
摘要： Data communications and storage systems require error control techniques to be transferred successfully without failure. Polar coding has been used as a state-of-the-art forward error correction code for such an error control technique. However, the conventional decoding based on successive cancellation has a drawback in its poor performance and long latency to complete. Because the factor graph of polar codes has a lot of short cycles, a parallelizable belief propagation decoding also does not perform well. The method and system of the present invention provide a way to resolve the issues by introducing a protograph lifting expansion for a polar coding family so that highly parallelizable decoding is realized to achieve a high coding gain and high throughput without increasing the computational complexity and latency. The invention enables an iterative message passing to work properly by eliminating short cycles through a hill-climbing optimization of frozen bits allocation and permutation.

8. 发明申请

WO2018142839A1 IRREGULAR POLAR CODING 审中-公开
公开(公告)号：WO2018142839A1
公开(公告)日：2018-08-09
申请号：PCT/JP2017/047421
申请日：2017-12-26
申请人： MITSUBISHI ELECTRIC CORPORATION
发明人： AKINO, Toshiaki , WANG, Ye , DRAPER, Stark, C.
IPC分类号： H03M13/13 , H03M13/35 , H03M13/29 , H03M13/45 , H03M13/37 , H03M13/27 , H03M13/25 , H03M13/09
摘要： The present invention relates to an transmitter for transmitting an encoded codeword over a communication channel includes a source to accept source data, an irregular polar encoder operated by a processor to encode the source data with at least one polar code to produce the encoded codeword, a modulator to modulate the encoded codeword, and a front end to transmit the modulated and encoded codeword over the communication channel. The polar code is specified by a set of regular parameters including one or combination of parameters defining a number of data bits in the codeword, a parameter defining a data index set specifying locations of frozen bits in the encoded codeword, and a parameter defining a number of parity bits in the encoded codeword. The polar code is further specified by a set of irregular parameters including one or combination of parameters defining an irregularity of values of at least one regular parameter of the polar code, a parameter defining an irregularity of permutation of the encoded bits, a parameter defining an irregularity of polarization kernels in the polar code, and a parameter defining an irregularity in selection of de-activated exclusive-or operations on different stages of the polar encoding, and wherein the irregular polar encoder encodes the codeword using the regular and the irregular parameters of the polar code. Some embodiments can select a combination of values of the regular and/or irregular parameters of the polar codes based on the parameters of the communication channel determined by a channel estimator. Includes application of irregular polar coding to high-order modulation and frequency-selective fading channels causing non-uniform bit transmission reliabilities.

9. 发明申请

WO2018142798A1 SOFT OUTPUT DECODING OF POLAR CODES USING SUCCESSIVE CANCELATION LIST (SCL) DECODING 审中-公开
公开(公告)号：WO2018142798A1
公开(公告)日：2018-08-09
申请号：PCT/JP2017/046052
申请日：2017-12-15
申请人： MITSUBISHI ELECTRIC CORPORATION
发明人： WANG, Ye , AKINO, Toshiaki , DRAPER, Stark, C.
IPC分类号： H03M13/13 , H03M13/25 , H03M13/29 , H03M13/37 , H03M13/45 , H03M13/35 , H03M13/09
摘要： A receiver includes a polar decoder for decoding an encoded codeword transmitted over a communication channel. The receiver includes a front end to receive over a communication channel a codeword including a sequence of bits modified with noise of the communication channel and a soft decoder operated by a processor to produce a soft output of the decoding. The codeword is encoded by at least one polar encoder with a polar code. The processor is configured to estimate possible values of the bits of the received codeword using a successive cancelation list (SCL) decoding to produce a set of candidate codewords, determine a distance between each candidate codeword and a soft input to the soft decoder, and determine a likelihood of a value of a bit in the sequence of bits using a difference of distances of the candidate codewords closest to the received codeword and having opposite values at the position of the bit.

10. 发明申请

WO2023032364A1 ANOMALY DETECTION AND DIAGNOSIS IN FACTORY AUTOMATION SYSTEM USING PRE-PROCESSED TIME-DELAY NEURAL NETWORK WITH LOSS FUNCTION ADAPTATION 审中-公开
公开(公告)号：WO2023032364A1
公开(公告)日：2023-03-09
申请号：PCT/JP2022/021478
申请日：2022-05-19
申请人： MITSUBISHI ELECTRIC CORPORATION
发明人： GUO, Jianlin , LIU, Bryan , AKINO, Toshiaki , WANG, Ye , KIM, Kyeong Jin , PARSONS, Kieran , ORLIK, Philip
IPC分类号： G05B23/02
摘要： A computer-implemented pre-processed time-delay autoencoder based anomaly detection method are provided for detecting anomalous states of machines arranged in a factory automation (FA) system or a manufacturing production line. The method includes acquiring source signals from the machines via an interface performing a data pre-processing process for the acquired source signals by normalizing value ranges of the acquired source signals and filtering undesired features from the acquired source signals performing a time-delayed data reform process for the pre-processed source signals based on a time-delay window to generate pre-processed time-delay data submitting pre-processed time-delay testing data to a pre-processed time- delayed autoencoder (Prep-TDAE) neural network, wherein the pre-processed time-delay testing data are collected online while the machines are operated, wherein the Prep-TDAE neural network has been pre-trained by using the pre-processed time-delay training data detecting, if an anomaly state is encountered with respect to the machines, by computing anomaly scores of the pre-processed time-delay testing data, and determining, when the anomaly state is detected, anomaly occurrence time, duration and severity with respect to the anomaly state of each of the machines.

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