Wentao Zhou, Xianghe Qi, Yao Lu, Ning Zhang, Chang Liu, Hao Jiang
{"title":"Operational Risk Assessment and Weak Link Identification of Stadium Power Supply System Based on Predicted Accident Set","authors":"Wentao Zhou, Xianghe Qi, Yao Lu, Ning Zhang, Chang Liu, Hao Jiang","doi":"10.1109/ICITES53477.2021.9637094","DOIUrl":"https://doi.org/10.1109/ICITES53477.2021.9637094","url":null,"abstract":"The frequent holding of large events makes the reliability of the power supply system of gymnasiums attract wide attention. In order to improve the risk control level of the power supply system of gymnasiums and ensure the safety and reliability of the power supply, this paper proposes a method of risk assessment and weak link identification for stadium power supply system. Firstly, the state enumeration method is used to generate the expected accident set, and the optimal load reduction model is established to obtain the risk index. Secondly, risk index is allocated to each component based on the Shapley value apportionment method, and the entropy weight method is used to calculate the comprehensive risk contribution rate of each component, so as to complete the identification of weak links in the venue power supply system. Finally, the effectiveness of the proposed method is verified by a typical power supply system in a gymnasium.","PeriodicalId":370828,"journal":{"name":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128754409","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}
Zhenli He, Ying Sun, Hui Fang, Yi-Xiong Huang, Yu Yang, Zhi-Yuan Zhang, Di Liu
{"title":"Energy-Efficient System Design of Asymmetric Multiprocessor for Real-Time Streaming Applications","authors":"Zhenli He, Ying Sun, Hui Fang, Yi-Xiong Huang, Yu Yang, Zhi-Yuan Zhang, Di Liu","doi":"10.1109/ICITES53477.2021.9637078","DOIUrl":"https://doi.org/10.1109/ICITES53477.2021.9637078","url":null,"abstract":"In this paper, we propose a new methodology to design asymmetric multiprocessor (AMP) systems for real-time streaming applications under throughput and latency constraints, where streaming applications are specified by CSDF graph in order to explore an ample amount of parallelism inside. We first propose an approach to assign a suitable type of processor for each actor in CSDF-model streaming applications and derive a condition to quickly decide the energy-efficiency of the AMP designed according to the processor assignment. Then, based on those, we propose a polynomial algorithm to design AMPs for real-time streaming applications. We compare the designed AMPs with SMPs on the basis of energy dissipation and synthesized area. The results show that on average AMPs can gain 13% and 28% saving for energy dissipation and synthesized area, respectively. Furthermore, the proposed methodology provides as effective as the design space exploration based on genetic algorithm in terms of finding energy-efficient AMPs, but our proposed methodology can achieve several order of magnitude of speed-up in execution time.","PeriodicalId":370828,"journal":{"name":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127216679","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}
{"title":"Attitude Angle Compensated Model-Free Adaptive Trajectory Tracking Control for Autonomous Underwater Vehicle","authors":"Cheng-An Wu, Yue-wei Dai, Liang Shan, Zhiyu Zhu","doi":"10.1109/ICITES53477.2021.9637106","DOIUrl":"https://doi.org/10.1109/ICITES53477.2021.9637106","url":null,"abstract":"This paper explores the trajectory tracking precise control problem of autonomous underwater vehicle (AUV) under the disturbance of the underwater environment. First, we design a data-driven thinking based model-free adaptive control (MFAC) and utilize full-form dynamic linearization (FFDL) method to online estimate time-varying parameter pseudo gradient to establish the equivalent data model of AUV motion. Second, we decouple three-dimensional motion into horizontal and vertical, based on this, we design a double closed-loop control structure. Third, we propose a novel data-driven based attitude angle compensation scheme to compensate the currents and waves disturb and analyze stability for proposed MFAC scheme. Finally, we adopt the technical data of T-SEA I AUV and conduct numerical simulation by designing underwater trajectory tracking scenarios. The simulation results demonstrate the effectiveness and robustness of the proposed tracking control algorithm.","PeriodicalId":370828,"journal":{"name":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126102502","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}
{"title":"Iterative Imputation Using Ratio-based Imputation for High Missing Gap","authors":"Deepak Adhikari, Wei Jiang, Jinyu Zhan","doi":"10.1109/ICITES53477.2021.9637107","DOIUrl":"https://doi.org/10.1109/ICITES53477.2021.9637107","url":null,"abstract":"Intelligent techniques have been designed to learn relying upon complete data. However, sensing error, connection failures, hardware fault, meteorological extremes, etc. lead data to be incomplete, making incomplete data value is a crucial problem in every research domain, including cybersecurity. Incomplete analysis lacks various useful information resulting in poor analysis and estimation. Multiple imputation has been potential solution, which accounts for uncertainty and unbiased results. To enhance the accuracy of the imputed data, this paper proposes a new iterative ratio based imputation (IRBI). Results achieved from the RBI technique is used to update the imputed data values obtained through iterations. Experimental results prove that the IRBI can perform well not only on a high missing amount of data but also on the high missing gap by preserving the data trends and structure.","PeriodicalId":370828,"journal":{"name":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114765547","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}
{"title":"Two-Stage Optimal Dispatching for Microgrid Considering Dynamic Incentive-Based Demand Response","authors":"Ruiguang Ma, Chaofeng Cheng, Chuan Long, Da Li, Liyang Liu, Qingzhu Zeng","doi":"10.1109/ICITES53477.2021.9637089","DOIUrl":"https://doi.org/10.1109/ICITES53477.2021.9637089","url":null,"abstract":"Aiming at the uncertainty of wind power, photovoltaic output and load size in microgrid, starting from the two stage of day-ahead and real-time, a two-stage optimal dispatching model of microgrid was established. In the day-ahead dispatching stage, an economic dispatching model based on the optimal total operation cost of microgrid is established; Based on the results of day ahead scheduling optimization, the real-time scheduling stage considers the output adjustment sequence of each power supply in real-time optimization scheduling, and proposes a real-time rolling optimization strategy with dynamic incentive-based demand response(IBDR) participation. The incentive price and user's participation capacity of the strategy presents dynamic changes with time scale moving forward, aiming to use price to guide users to increase their participation in demand response. Finally, a calculation example shows that dynamic incentive model demand response compared with traditional incentive model demand response can not only improve the tracking effect of the day-ahead tie line plan, but also better eliminate the day-ahead prediction error of the microgrid. It can significantly improve the user's income and effectively reduce the system operation cost, which provides a reference for the optimal operation of the market-oriented microgrid.","PeriodicalId":370828,"journal":{"name":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130162670","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}
Baoli Peng, Dongming Lv, Guojie Luo, M. Tahoori, Yuanqing Cheng
{"title":"A Timing-driven Analytical Placer for Gate-Level Partitioned Monolithic 3D ICs","authors":"Baoli Peng, Dongming Lv, Guojie Luo, M. Tahoori, Yuanqing Cheng","doi":"10.1109/ICITES53477.2021.9637097","DOIUrl":"https://doi.org/10.1109/ICITES53477.2021.9637097","url":null,"abstract":"With the prevalence of data intensive applications like neuromorphic computing and big data processing, monolithic 3D (M3D) integration is proposed recently to provide ultrahigh memory bandwidth and can effectively improve the area, performance and power consumption of the chip. In this paper, we observe that it is essential to co-optimize the wirelength and critical path timing in placement for gate-level partitioned M3D ICs, which can take full advantage of dense MIVs and achieve better timing performance. Therefore, we propose a timing-driven analytical placement workflow for monolithic 3D ICs. Guided by timing analysis, the timing critical paths are selected and divided onto different tiers to exploit short vertical interconnects for timing optimization. Experimental results show that compared to TSV based 3D ICs, our timing-driven analytical placer for M3D ICs can reduce the chip footprint, the half-perimeter wirelength (HPWL) and the circuit delay by 70.2%, 55.6%, and 49.6% respectively.","PeriodicalId":370828,"journal":{"name":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133310185","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}
{"title":"Economic Operation Optimization of Electro-thermal Coupling System Considering Integrated Demand Response","authors":"Wentao Zhang, Da Li, Wei Wang, Chaofeng Cheng, Chuan Long, Qingzhu Zeng","doi":"10.1109/ICITES53477.2021.9637080","DOIUrl":"https://doi.org/10.1109/ICITES53477.2021.9637080","url":null,"abstract":"In this paper, an economic operation optimization model considering integrated demand response is proposed for electro-thermal coupling system. Firstly, based on the construction of the electro-thermal coupling system, according to the load response characteristics, and considering the vertical conversion and horizontal translation of energy, the loads are divided into curtailable, shiftable and replaceable loads, and an integrated demand response model is established. Secondly, taking the minimum sum of energy purchase cost, environmental cost and integrated demand response compensation cost as the objective function, and considering energy balance, energy conversion of equipment, energy storage equipment and IDR constraints, the system operation optimization model is established and the solution method is given. The simulation results show that the proposed model has good applicability to the economic operation of the electro-thermal coupling system. By fully exploiting the system's demand response capacity and exerting the multi-energy complementary and collaborative capacity, the economic operation capacity of the system can be further improved, and it has a good absorption capacity for clean energy. Also, it provides reference for economic operation of electro-thermal coupling system.","PeriodicalId":370828,"journal":{"name":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134055559","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}
{"title":"Integrated Energy Service Package Design of Service Provider Based on Power Customer Classification","authors":"Zhichao Ren, Jun Wei, Haiyan Wang, Yingying Deng, Xinting Yang, Cong Zhang","doi":"10.1109/ICITES53477.2021.9637100","DOIUrl":"https://doi.org/10.1109/ICITES53477.2021.9637100","url":null,"abstract":"At present, with the acceleration of energy transformation and the deepening of power market reform, power service presents new development trends in China. Considering user selection behavior, IES package which fits the actual energy consumption behavior of customers is employed to help power service provider to further gain dominance and more profit in the electricity market. The multi-dimensional energy-using behavior is identified through user portrait, and the service adapting matrix is determined by Delphi method. The multi-dimensional vector and the adapting matrix are combined fuzzily to obtain the service matching vector, which is adopted as the standard of user classification. Then, the selection behavior of different user groups is estimated based on MNL rule. Moreover, the package evaluation model is established with the objective function of maximizing the benefit of power service provider. Finally, the feasibility of the IES package in a tiered manner is verified through example calculation based on five integrated energy services.","PeriodicalId":370828,"journal":{"name":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134096797","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}
{"title":"Dynamic Perception and Evaluation of Electric Power Job Site Dangerous Situation Based on Variable Precision Rough Set","authors":"Chang Zhengwei, Pu Wei, Wu Jie, Xiong Xingzhong, Chen Mingju, Xin Zeng","doi":"10.1109/ICITES53477.2021.9637093","DOIUrl":"https://doi.org/10.1109/ICITES53477.2021.9637093","url":null,"abstract":"In order to improve the intelligent informatization level of electric power production safety management and reduce the occurrence of safety accidents, the paper constructs a perception scheme of electric power production site that integrates multi-dimensional information such as personnel location, equipment status, and image information. Combined with static factors such as organization and management, team situation, and personal abilities of operators, a comprehensive analysis is carried out to establish a dynamic power operation site dangerous situation awareness and evaluation method. This method uses a multi-sensor network to realize the real-time perception of the image and position information of dynamic power work objects. The variable precision fuzzy theory is used to calculate the weights of static and dynamic hazard factors at dynamic power operation sites, and a hazard situation assessment model is constructed. It realizes the digital representation of the situation of the operation scene, and then realizes the assessment and early warning of the dangerous situation in the case of dynamic power monitoring. This method prevents the occurrence of safety accidents and enhances the overall safety of power operations.","PeriodicalId":370828,"journal":{"name":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130084977","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}
Chen Yue, Liu Lei, Wang Jin-ming, Jian Shao-han, Liao Zhong-hu, Zhang Fei
{"title":"Design of CO Detection System in Deflagration Process Based on STM32","authors":"Chen Yue, Liu Lei, Wang Jin-ming, Jian Shao-han, Liao Zhong-hu, Zhang Fei","doi":"10.1109/ICITES53477.2021.9637073","DOIUrl":"https://doi.org/10.1109/ICITES53477.2021.9637073","url":null,"abstract":"High-speed data acquisition equipment is usually needed in detection of deflagration process because of the transient response time. Traditional high-speed data acquisition system has high cost and poor portability. In this work, a low-cost and miniaturized detection system for intermediate products in deflagration process is designed. The system consists of STM32 module, AD9481 high-speed data acquisition module, optical detection module and gas deflagration device module. The circuit diagram of the high-speed data acquisition system is given. Driven by STM32 module, the change process of CO in butane deflagration was studied at the sampling rate of 200Msa/s. 160μS length of data acquisition can be reached. Through experimental comparison, the data collected by the system can correctly reflect the change of CO photosensitive signal at the moment of deflagration. And a low-cost and miniaturized detection system for intermediate products in deflagration process is realized.","PeriodicalId":370828,"journal":{"name":"2021 International Conference on Intelligent Technology and Embedded Systems (ICITES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130687605","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}