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2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)最新文献

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Shuffling Countermeasure against Power Side-Channel Attack for MLP with Software Implementation 针对MLP功率侧信道攻击的洗牌对策及软件实现
2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674668
Y. Nozaki, M. Yoshikawa
{"title":"Shuffling Countermeasure against Power Side-Channel Attack for MLP with Software Implementation","authors":"Y. Nozaki, M. Yoshikawa","doi":"10.1109/ICECE54449.2021.9674668","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674668","url":null,"abstract":"In recent years, several attack methods for artificial intelligence (AI) have been reported. Therefore, the study of countermeasure against illegal attacks for AI is very important. This study proposes a new countermeasure method against power side-channel based model extraction attacks for AI. The proposed method improves the resistance against power side-channel based model extraction attacks by randomizing the calculation order with shuffling method. Experiments using an actual device indicated that the proposed countermeasure could improve the resistance against power side-channel based model extraction attacks.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128861620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Design of Orthogonal Matching Pursuit (OMP) for Sub-Nyquist Wideband Spectrum Sensing in Cognitive Radio on FPGA 基于FPGA的认知无线电亚奈奎斯特宽带频谱感知正交匹配追踪(OMP)设计
2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674724
Marwa Mashhour, Lamya Gaber, A. Hussein, H. Mogahed
{"title":"Design of Orthogonal Matching Pursuit (OMP) for Sub-Nyquist Wideband Spectrum Sensing in Cognitive Radio on FPGA","authors":"Marwa Mashhour, Lamya Gaber, A. Hussein, H. Mogahed","doi":"10.1109/ICECE54449.2021.9674724","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674724","url":null,"abstract":"Cognitive radio (CR) is one of the best option for enhancing spectrum usage in the future generation of cellular-based networks. An essential stage of cognitive radio is the spectrum sensing process, which detects unused spectrum holes in order to use all available frequencies of the radio spectrum. The sampling rate over a multi-GHz bandwidth is the main challenge in the spectrum sensing architecture design. More recently, to be able to use a low sampling rate, Compressed Sensing (CS) technology has been used. In this paper, an enhanced spectrum sensing architecture for reconstructing the original signal is presented. The architecture is based on a modified Orthogonal Matching Pursuit (OMP) algorithm. The proposed architecture is implemented with 1024 samples, a measurement vector with a size of 256 and a sparsity of 36. The proposed architecture can be executed on 132 MHz clock frequency, using Xilinx Virtex 6 FPGA, with a speed up of 32% in comparison with previously published work.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130471800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study on the Identification, Risk Evaluation and Control of the Dangerous and Harmful Factors of Power Enterprise Database 电力企业数据库危险有害因素识别、风险评价与控制研究
2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674452
Xiaoxue Li, Nengwei Fang, Yunpeng Li, Yan Li, Dong Tan, Bo Fan, Yuan Hu, Ya Xin
{"title":"Study on the Identification, Risk Evaluation and Control of the Dangerous and Harmful Factors of Power Enterprise Database","authors":"Xiaoxue Li, Nengwei Fang, Yunpeng Li, Yan Li, Dong Tan, Bo Fan, Yuan Hu, Ya Xin","doi":"10.1109/ICECE54449.2021.9674452","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674452","url":null,"abstract":"As an important part of the energy industry, power generation enterprises have complex production process and environment, and many hazard risk factors. The importance of its safety management has gradually become a consensus. Compared with traditional safety management methods, risk pre control emphasizes the planning of prevention and control in advance. Its theoretical basis is to comprehensively and systematically identify and evaluate all hazards and harmful factors. In order to determine the main risk sources and harmful factors, clarify the management focus and direction, formulate more targeted and advanced management measures, prevent the development of hidden dangers and accidents caused by improper risk control, and realize intrinsic safety. “4M ” mainly comes from the theory of “safety management of human, machine, media and 4m elements” put forward by Japanese scholar Shigeru nishima. Under the guidance of 4m barrier theory, power enterprises have formed a set of risk pre control models for identifying, evaluating and formulating measures, and established “operation activity risk”, “maintenance operation activity risk” and “regional environmental risk”, “Equipment”, “failure risk” and “management risk” are five standard basic risk databases. The standard basic risk database identifies hazards, hazards and eco-environmental factors, comprehensively analyzes and evaluates hazard consequences, occurrence possibility, hazard degree and accident type, and puts forward corresponding control measures and behavior standards.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129721755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A 3D Wideband Non-Stationary GBSM for RIS-Assisted Communications in Outdoor Scenarios 一种用于户外场景下ris辅助通信的三维宽带非稳态GBSM
2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674697
Yinghui Yang, Wensheng Zhang, Jian Sun, Chengxiang Wang
{"title":"A 3D Wideband Non-Stationary GBSM for RIS-Assisted Communications in Outdoor Scenarios","authors":"Yinghui Yang, Wensheng Zhang, Jian Sun, Chengxiang Wang","doi":"10.1109/ICECE54449.2021.9674697","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674697","url":null,"abstract":"In this paper, we propose a novel three-dimensional (3D) wideband non-stationary geometry-based stochastic model (GBSM) for reconfigurable intelligent surface (RIS)-assisted communications in outdoor scenarios. To mimic a more realistic outdoor environment, we introduce a twin-cluster model and consider the evolutions of clusters in time and antenna domain. The proposed model is a combination of transmitter (Tx)-RIS-receiver (Rx) reflection components and Tx-Rx components. Based on the proposed model, some key statistical properties like power delay profile (PDP), achievable rate, temporal autocorrelation functions (ACFs) are derived and analyzed. The simulation results demonstrate the correctness of the proposed model and the non-stationary property. Although imperfections in phase knowledge acquirement are existed in real world, the use of the RIS still makes appreciable improvements in the communication system performance according to the simulations.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115634149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Multi-master Automatic Switchover MF-TDMA Network with Distributed Burst Algorithm 基于分布式突发算法的多主自动切换MF-TDMA网络
2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674358
Fan Xianxue, Jin Xinghua
{"title":"Multi-master Automatic Switchover MF-TDMA Network with Distributed Burst Algorithm","authors":"Fan Xianxue, Jin Xinghua","doi":"10.1109/ICECE54449.2021.9674358","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674358","url":null,"abstract":"Multi-frequency Time Division Multiple Access (MF-TDMA) technology has obvious advantages in flexible network formation and service transmission support of Very Small Aperture Terminal (VSAT) network. Multi-master can greatly improve the network’s redundancy. However, the carrier capability and network capability especially the master station is limited by the small antenna size earth station. The distributed burst transmission scheme could improve this performance. Here, combining with distributed burst algorithm, a multi-master automatic switchover network is proposed especially for differential station capacity.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121914269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Super-resolution Reconstruction Method for Single-frame Character Images Based on Wavelet Neural Network 基于小波神经网络的单帧字符图像超分辨率重建方法
2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674456
Xu Xiuni
{"title":"A Super-resolution Reconstruction Method for Single-frame Character Images Based on Wavelet Neural Network","authors":"Xu Xiuni","doi":"10.1109/ICECE54449.2021.9674456","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674456","url":null,"abstract":"The current single-frame character image reconstruction methods have some problems, such as the noise can not be removed effectively, the anti-interference performance is poor, and the resolution of reconstructed single frame character image is low. In order to solve these problems, this paper proposes a super-resolution reconstruction method of single frame character image based on wavelet neural network. Firstly, analyze the factors affecting image degradation and construct the image degradation model. Secondly, remove the noise in the image using the wavelet threshold denoising method. Then, the image super-resolution reconstruction is completed by wavelet neural network reflection model to improve the resolution of the image. Finally, test the reconstructed single frame character image using MATLAB software. The test results show that the proposed method can effectively remove the image’s noise, and its anti-interference performance is high and the reconstructed image’s resolution is high.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116945315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multiple Negative Samples Based on GAN for Cross-Modal Retrieval 基于GAN的多负样本跨模态检索
2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674509
Xiaoqian Ma, Feifei Wang, Yahui Hou
{"title":"Multiple Negative Samples Based on GAN for Cross-Modal Retrieval","authors":"Xiaoqian Ma, Feifei Wang, Yahui Hou","doi":"10.1109/ICECE54449.2021.9674509","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674509","url":null,"abstract":"Cross-modal retrieval has attracted wide attention for retrieving multimedia data such as images, text, audio, and video. However, due to the great differences in the underlying representation and distribution of modalities, it’s still challenging to find the semantic similarity of various modalities. Benefited from the introduction of the generative adversarial network (GAN) into cross-modal retrieval, the performance of models has been significantly improved. To generate discriminative representations, adversarial learning utilizes triplet constraint to establish connections among the anchor, the positive sample, and the negative sample. The strategy of triplet loss can separate the anchor and a certain class of the negative sample, but fails to guarantee the anchor and other categories of items could also be scattered in the subspace. This paper proposes a novel multiple negative samples model based on GAN (MNS-GAN) to increase intra-modal discrimination. Comprehensive experiments show that our proposed MNS-GAN method outperforms the state-of-the-art cross-modal retrieval methods.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126056664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Graph Convolution Network with Temporal Convolution for Long-term Traffic Flow Forecasting 基于时间卷积的长期交通流预测图卷积网络
2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674268
Linyun Sun, Tien-Wen Sung
{"title":"A Graph Convolution Network with Temporal Convolution for Long-term Traffic Flow Forecasting","authors":"Linyun Sun, Tien-Wen Sung","doi":"10.1109/ICECE54449.2021.9674268","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674268","url":null,"abstract":"High-efficiency and high-precision forecasting of traffic flow are conducive to the improvement of intelligent transportation systems. The traditional traffic flow forecasting models do not take into account the actual topological relationship of the road network. These methods primarily consider the road network to be a regular Eulerian structure or a regular time series. Therefore, for the large and complex traffic network, the forecasting of traffic flow is usually inefficient. In addition, the long-term characteristics of traffic flow are often overlooked. In this paper, we propose a graph convolution network with temporal convolution for long-term traffic flow forecasting, which is distinct from the traditional methods. The proposed model considers the real road topology relationship as a non-Eulerian graph and can also learn long-term traffic characteristics. Our experiments have been verified on two real data sets, and several test indicators have been significantly improved.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128088942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Blockchain-based Protocol for Power Data Preservation in Ping Dingshan vs. Wang Case 平顶山诉王案中基于区块链的电力数据保存协议
2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674419
Huinan Wang, Yan Feng, Bin Xing, Xin Zhang, Zhao Wang, Jiaxing Wu, Xin Huang
{"title":"A Blockchain-based Protocol for Power Data Preservation in Ping Dingshan vs. Wang Case","authors":"Huinan Wang, Yan Feng, Bin Xing, Xin Zhang, Zhao Wang, Jiaxing Wu, Xin Huang","doi":"10.1109/ICECE54449.2021.9674419","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674419","url":null,"abstract":"power companies, the data collected by smart meters on electricity consumption is of vital interest. In 2019, Wang had a dispute with Ping Dingshan. They came into disagreement regarding the amount of electricity consumed, which was a difference of 1334 kWh. It was not settled until 2021. To avoid the above problem, smart meters could upload power information to the blockchain. In this paper, we improved the authentication protocol key proposed by Zhang and proposed a new scheme for uploading the power information from smart electricity meters, which ensures the integrity, confidentiality and authentication of the power information. At the same time, the proposed scheme is unbalanced for the computing capability of both communication parties, and can effectively reduce the burden of the server.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130999111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Electricity Price Prediction Based on LSTM and LightGBM 基于LSTM和LightGBM的电价预测
2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674719
Hui Deng, Fei Yan, Hao Wang, Le Fang, Ziqing Zhou, Feng Zhang, Chen Xu, Haihui Jiang
{"title":"Electricity Price Prediction Based on LSTM and LightGBM","authors":"Hui Deng, Fei Yan, Hao Wang, Le Fang, Ziqing Zhou, Feng Zhang, Chen Xu, Haihui Jiang","doi":"10.1109/ICECE54449.2021.9674719","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674719","url":null,"abstract":"In the open electricity market, short-term electricity price forecasting is a significant research direction. At present, a single prediction model will have different prediction deviations when predicting. This article proposes a method to simultaneously input the original data into the LSTM network and the LightGBM model. Simultaneously. Models with higher prediction limits. Experiments have proved that the combined model can effectively increase the lower limit of prediction.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"423 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123560062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
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