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2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)最新文献

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Digital Data Convertion Using Content Addressable Memory 使用内容可寻址存储器的数字数据转换
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924304
Zbigniew Kokosinski
{"title":"Digital Data Convertion Using Content Addressable Memory","authors":"Zbigniew Kokosinski","doi":"10.1109/IDAACS.2019.8924304","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924304","url":null,"abstract":"In this paper a novel digital data conversion scheme is proposed that may be applied in analog or digital data acquisition systems. In this scheme possible input redundancy of combinational logic circuit is eliminated by argument reduction. CAM (associative memory) is used in two implementations - for binary and ternary logic, respectively. For binary CAM hardware generators of column masks may be applied. The resulting digital structure can be easily implemented in FPGA.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115706514","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
Timing Characteristics of Sensor Simulation in an HIL Environment HIL环境下传感器仿真的时序特性
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924264
Igor Khimchenko, Peter Schulz
{"title":"Timing Characteristics of Sensor Simulation in an HIL Environment","authors":"Igor Khimchenko, Peter Schulz","doi":"10.1109/IDAACS.2019.8924264","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924264","url":null,"abstract":"A large number of different applications are associated with different types of embedded systems where sensors play the key role in the creating of a particular view of an environment a system is being operated in. Embedded systems are often characterized as the soft- or hard-real-time systems, with high requirements for safety, thus imposing strict requirements for the timing behavior and accuracy of sensors in order to ensure determinism and dependability of a system. At early stage of a system design, analysis or optimization, the satisfaction of the requirements can be checked with models of sensors. The authors aim to investigate the timing performance and accuracy achieved during simulation of the same sensor model implemented in two different ways: as a software artifact and as a field programmable gate arrays (FPGA) solution. This article constitutes a part of the research activities defined in [1].","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132066044","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
Data-Analysis Methods in Detecting, Visualizing and Predicting Nuclear Power Plant Component Ageing Phenomena 核电站部件老化现象检测、可视化和预测的数据分析方法
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/idaacs.2019.8924443
M. Sirola, J. Hulsund
{"title":"Data-Analysis Methods in Detecting, Visualizing and Predicting Nuclear Power Plant Component Ageing Phenomena","authors":"M. Sirola, J. Hulsund","doi":"10.1109/idaacs.2019.8924443","DOIUrl":"https://doi.org/10.1109/idaacs.2019.8924443","url":null,"abstract":"Estimating remaining useful lifetime of nuclear power plants has become an important research issue. Our approach in Long-Term Degradation Management project is to try to solve component ageing problems with data-analysis methods. We use e.g. Principal Component Analysis and K-means clustering method to detect data structures or transients from three different data sources for nuclear power plants. We have developed a method for detecting trends in a single cluster. The outcome of the methodologies are shown in three case examples. We were able to visualize anomalies in data, but we did not find evidence for corrosion with this data source.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131295795","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: 1
Data Acquisition Framework For Competence Profiles Selection and Project Staffing 能力概况选择和项目人员配置的数据获取框架
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924379
Nargiza Mikhridinova, Carsten Wolff, Bassam A. Hussein
{"title":"Data Acquisition Framework For Competence Profiles Selection and Project Staffing","authors":"Nargiza Mikhridinova, Carsten Wolff, Bassam A. Hussein","doi":"10.1109/IDAACS.2019.8924379","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924379","url":null,"abstract":"Future scenarios of projectized organizations will demand new competence management approaches based on the requirements for every project. Hence, already complicated selection and project staffing procedures should provide certain flexibility to be adjusted for every project case. Besides, digital era offers various data management approaches which can add value to these procedures. A proposed data acquisition framework aims at optimising processes of competence profiles selection and project staffing based on analysis of different variations of team members' combinations. Competence profiles calculation and further gap analysis between the optimum competence profile of the project and competence profile of the project team can add value to decision making on the most adequate profile of the project team.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127314962","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: 1
Artificial Intelligence for Sport Activitity Recognition 体育活动识别的人工智能
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924243
Sergei V. Bezobrazov, A. Sheleh, Sergei Kislyuk, V. Golovko, A. Sachenko, M. Komar, Vitaliy Dorosh, V. Turchenko
{"title":"Artificial Intelligence for Sport Activitity Recognition","authors":"Sergei V. Bezobrazov, A. Sheleh, Sergei Kislyuk, V. Golovko, A. Sachenko, M. Komar, Vitaliy Dorosh, V. Turchenko","doi":"10.1109/IDAACS.2019.8924243","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924243","url":null,"abstract":"This paper presents and explains an implementation of an Artificial Neural Network approach for sport activities (gestures) detection and recognition using PIQ ROBOT device. Tennis was chosen as an example of sports activities. The development of artificial intelligence has given rise to gesture-recognition-based devices. The global gesture recognition market size was valued at USD 6.22 billion in 2017 and it is likely to reach USD 30.6 billion by 2025. This paper starts our ambitious research in the area of artificial neural networks for activity recognition in the sport.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125575136","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: 3
Remote Monitoring of the Hospital Cardiac Patients Heart Rate 医院心脏病患者心率的远程监测
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924277
A. Parkhomenko, Yevhenii Presaizen, O. Gladkova, Artem Tulenkov, Marina Kalinina
{"title":"Remote Monitoring of the Hospital Cardiac Patients Heart Rate","authors":"A. Parkhomenko, Yevhenii Presaizen, O. Gladkova, Artem Tulenkov, Marina Kalinina","doi":"10.1109/IDAACS.2019.8924277","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924277","url":null,"abstract":"The method for remote cardio data monitoring of hospital patient is proposed in this paper. Investigation of devices features and data transmission technologies were carried out taking into account the specifics of the field of study. The developed algorithms for remote heart rate monitoring organizing are given. The possibilities of cloud services usage for visualization of monitoring results are shown.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114405626","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: 3
Online Incipient Chatter Detection Based on Once-Per-Revolution Sampling and Dynamic Threshold Variant 基于单转一次采样和动态阈值变化的在线颤振检测
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924402
Yanqing Zhao, K. Adjallah, A. Sava, Zhouhang Wang
{"title":"Online Incipient Chatter Detection Based on Once-Per-Revolution Sampling and Dynamic Threshold Variant","authors":"Yanqing Zhao, K. Adjallah, A. Sava, Zhouhang Wang","doi":"10.1109/IDAACS.2019.8924402","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924402","url":null,"abstract":"Online incipient chatter detection is a crucial task to improve surface quality, reduce dimensional errors, and protect the cutting tool and machine tool in the high-speed milling process. Since variable background noise in measured signal impacts the accuracy of the incipient chatter detection, it is necessary to develop an appropriate and efficient threshold to detect incipient chatter reliably. This paper proposes an online incipient chatter detection method for high-speed milling process based on once-per-revolution sampling and dynamic threshold variant. First, the once-per-revolution sampling technique is used to reduce the data size and acquire independent data of machining parameters. Next, an incipient chatter indicator MaxEnt, i.e., maximum entropy, is extracted from the once-per-revolution sampled data by using the MaxEnt principle. Finally, a dynamic threshold variant and sequential probability ratio test (SPRT) are used for incipient chatter detection. To validate the effectiveness of the proposed method, a simulated chatter signal, including seven components, is employed. The validated results show that the proposed method could detect the incipient chatter effectively in the variable noise environment.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114539701","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: 1
Development of Architectural Realizations of Phototherapy Computer's Systems for Prevention and Treatment 光疗计算机防治系统体系结构实现的发展
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924240
Alexander Trunov, A. Belikov
{"title":"Development of Architectural Realizations of Phototherapy Computer's Systems for Prevention and Treatment","authors":"Alexander Trunov, A. Belikov","doi":"10.1109/IDAACS.2019.8924240","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924240","url":null,"abstract":"The features of the implementation of phototherapy and architectures of computer systems for the formation of a set of conditions that provide prevention and treatment procedures was considered. The generalized structure of diagnostic-therapeutic equipment on the basis of single-chip microcontrollers and single-board computers is offered. Network implementation of phototherapy technology for hospitals or specialized clinics has been implemented. Significant features of hardware and software enhancement of the elements, modeling of irradiation influences was carried out.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114547888","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
Stability Analysis of Heartbeat Control Based on the Zeeman Framework 基于Zeeman框架的心跳控制稳定性分析
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924412
M. Abdelhady, Y. Kondratenko, Wael Abouelwafa, D. Simon
{"title":"Stability Analysis of Heartbeat Control Based on the Zeeman Framework","authors":"M. Abdelhady, Y. Kondratenko, Wael Abouelwafa, D. Simon","doi":"10.1109/IDAACS.2019.8924412","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924412","url":null,"abstract":"Nonlinear control stability of a heart beat tracking system is investigated in this paper based on second-order original and third-order modified Zeeman's heartbeat models. Stability analysis shows that the third-order model is less sensitive to model parameter variations and thus shows long range stable performance.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114772759","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
ICT Tools Supporting the Education Process: ELEANOR (E-Learning and Education Assisted by New On-line Resources) 支持教育进程的信息和通信技术工具:ELEANOR(由新的在线资源辅助的电子学习和教育)
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924254
F. Guerriero, Giusy Macrina, Gianfranco Salfi
{"title":"ICT Tools Supporting the Education Process: ELEANOR (E-Learning and Education Assisted by New On-line Resources)","authors":"F. Guerriero, Giusy Macrina, Gianfranco Salfi","doi":"10.1109/IDAACS.2019.8924254","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924254","url":null,"abstract":"In the last years, we have seen an exponential growth of technology. Healthcare, retail, entertainment and education are only some of the sectors that must keep up with the continuous changing of technologies. In this paper we focus on the use of Information and Communication Technology (ICT) to support the education process. We present a case study of “ELEANOR”, an ICT tool designed to help teaching and learning activities, and raise educational quality at University of Calabria (Italy). We show the benefits, in terms of efficiency, obtained by introducing ELEANOR in the education process.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115211766","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: 1
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