2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC)最新文献_第7页

A Zero-Velocity Detection Algorithm for Pedestrian Navigation Based on LSTM 基于LSTM的行人导航零速度检测算法

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) Pub Date : 2021-11-01 DOI: 10.1109/ISCSIC54682.2021.00071

Langping An, Xianfei Pan, Mang Wang, Ze Chen, Zheming Tu, Chaoqun Chu

{"title":"A Zero-Velocity Detection Algorithm for Pedestrian Navigation Based on LSTM","authors":"Langping An, Xianfei Pan, Mang Wang, Ze Chen, Zheming Tu, Chaoqun Chu","doi":"10.1109/ISCSIC54682.2021.00071","DOIUrl":"https://doi.org/10.1109/ISCSIC54682.2021.00071","url":null,"abstract":"Zero-velocity interval detection is a typical method to inhibit the error accumulation for pedestrian navigation systems based on MIMU (Micro-inertial Measurement Unit). The traditional threshold adjustment method based on condition judgment has poor robustness to different movement patterns, and it is hard to realize automatic adjustment and precise navigation in the multi-movement state. In this paper, we proposed an algorithm of movement pattern recognition and zero-velocity correction, which is based on deep learning. Collect sensor data series under various movement patterns as training samples. Based on LSTM (Long Short-term Memory) neural network, we train the movement pattern recognition and threshold adaptive model. Combined with the gait recognition and monitoring algorithm, the model adjusts zero-velocity detection thresholds adaptively in the multi-movement state. We evaluate the performance of our system on public datasets and with real-world experiments, and compare the results with other algorithms. Experiments showed that the algorithm detects the zero-velocity interval adaptively, and improves the ability to adapt the movement and environment for pedestrian navigation based on MIMU in complex environments, thereby improving the precision of pedestrian navigation.","PeriodicalId":431036,"journal":{"name":"2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134403243","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

Dataset Anonymization with Purpose: A Resource Allocation Use Case 有目的的数据集匿名化:资源分配用例

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) Pub Date : 2021-11-01 DOI: 10.1109/ISCSIC54682.2021.00045

Kevin De Boeck, Jenno Verdonck, M. Willocx, Jorn Lapon, Vincent Naessens

{"title":"Dataset Anonymization with Purpose: A Resource Allocation Use Case","authors":"Kevin De Boeck, Jenno Verdonck, M. Willocx, Jorn Lapon, Vincent Naessens","doi":"10.1109/ISCSIC54682.2021.00045","DOIUrl":"https://doi.org/10.1109/ISCSIC54682.2021.00045","url":null,"abstract":"Nowadays, companies are collecting huge amounts of data. Applying the collected data to optimize the business activities can significantly improve profit margins. In this context, companies often want to enhance their models by enriching the data with data from external sources. Increasingly, companies are also considering selling data as an additional source of income. Governments are also willing to share citizen data with businesses. The GDPR regulation, introduced in May 2018 provides a framework for different parties (commercial, governmental, academic) to share and sell data provided that the data is anonymized. The effect of this anonymization step on the quality of the data (and the resulting business optimization conclusions) are still unclear. Utility and quality metrics that exist are purely theoretical, and do not grasp the purpose of the anonymized data, resulting in discrepancies between the expected and the actual utility of an anonymized dataset. This work studies the practical utility of anonymized datasets. It assesses the effect of applying the K-anonymity metric and dataset sampling on the utility of the data by conducting experiments on a resource allocation use case. Practical guidelines are presented for anonymizing datasets while maintaining a high degree of practical utility.","PeriodicalId":431036,"journal":{"name":"2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC)","volume":"80 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116471385","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

Study of the Effect of Security on Quality of Service on a WebRTC Framework for Videocalls 基于webbrtc框架的视频通话安全对服务质量影响研究

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) Pub Date : 2021-11-01 DOI: 10.1109/ISCSIC54682.2021.00073

C. Moreno, Eduardo Crimaldi, V. Verma, M. Huerta

{"title":"Study of the Effect of Security on Quality of Service on a WebRTC Framework for Videocalls","authors":"C. Moreno, Eduardo Crimaldi, V. Verma, M. Huerta","doi":"10.1109/ISCSIC54682.2021.00073","DOIUrl":"https://doi.org/10.1109/ISCSIC54682.2021.00073","url":null,"abstract":"Web Real-Time Communication (WebRTC) is a promising new standard and technology stack, providing full audio/video communications in a secured solution. Organizations implementing such technology deal with both quality of service and security demands, therefore it is mandatory to investigate the impact of QoS parameters when applying security mechanisms in multimedia services for the case of videocalls. This work presents a study of quality of service indicators such as jitter, delay between RTP (Real Time Protocol) packets, establishment and release time for three levels of security, considering the effect over signaling and media planes of the videocall. Four scenarios were implemented in two groups: the first one consisted of a LAN with a Laptop and a PC with WebRTC clients or between a Smartphone and a PC as well. The second one consisted of a DSL WAN with a Laptop and a PC with WebRTC clients or between a Smartphone and a PC as well. The three levels of security for each scenario were implemented as follows: the first one without security, the second one with TLS in signaling, and the third with both TLS in signaling and DTLS in media traffic. Codecs employed were VP8 for video and OPUS for audio on every testbed over WebRTC with EasyRTC framework. The results show, in general terms that QoS media indicators were on the recommended levels according to ITU and IETF. Establishing and liberation time were degraded. In some cases there was an improvement, as in the case of jitter due to the use of RTP (Real Time Transport) protocol for audio. We recommend the use of machine learning algorithm K-means for detecting clusters between different QoS indicator for the three levels of security just to detect with more accuracy the impact for each level.","PeriodicalId":431036,"journal":{"name":"2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115364261","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

[Title page] (标题页)

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) Pub Date : 2021-11-01 DOI: 10.1109/iscsic54682.2021.00001

引用次数: 0

Modelling and Simulation on Stopping Motion Based on Propeller C-Series in Maritime Simulator 船舶模拟器中基于c系列螺旋桨停止运动的建模与仿真

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) Pub Date : 2021-11-01 DOI: 10.1109/ISCSIC54682.2021.00079

Xiaochen Li, Helong Shen, Yong Yin

引用次数: 0

The Role of Smart Economy in Developing Smart Cities 智慧经济在发展智慧城市中的作用

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) Pub Date : 2021-11-01 DOI: 10.1109/ISCSIC54682.2021.00057

A. Youssef, P. Hájek

引用次数: 2

Communication Architecture for the Ponding Flood Prediction Model 池塘洪水预测模型的通信体系结构

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) Pub Date : 2021-11-01 DOI: 10.1109/ISCSIC54682.2021.00042

Ricardo Alfonso Sanabria, C. Gómez, Francisco Javier Vaca, Juan David Sánchez, Diego Aldana, Angie Franco

引用次数: 0

Message from Program Chair 项目主席致辞

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) Pub Date : 2021-11-01 DOI: 10.1109/iscsic54682.2021.00006

引用次数: 0

Forecasting Of Csi 300 Index Based On Pso-Lstm-Rt Composite Model 基于Pso-Lstm-Rt复合模型的沪深300指数预测

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) Pub Date : 2021-11-01 DOI: 10.1109/ISCSIC54682.2021.00066

Wei Shen, Bixia Zou, Xingxin Chen

引用次数: 1

Artificial Intelligence in Hybrid Vehicle Transmission Control - Literature Review and Research Methodology 混合动力汽车变速器控制中的人工智能——文献综述与研究方法

2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) Pub Date : 2021-11-01 DOI: 10.1109/ISCSIC54682.2021.00061

Florian Schuchter, K. Bause, A. Albers

{"title":"Artificial Intelligence in Hybrid Vehicle Transmission Control - Literature Review and Research Methodology","authors":"Florian Schuchter, K. Bause, A. Albers","doi":"10.1109/ISCSIC54682.2021.00061","DOIUrl":"https://doi.org/10.1109/ISCSIC54682.2021.00061","url":null,"abstract":"The electrification of vehicles is making the development of control software for automatic transmissions increasingly complex. A new drive train behavior is created, as well as new driving functions and operating states. Furthermore, increasing customer requirements for comfort, dynamics and fuel consumption must be ensured over the entire service life. The authors analyze the state-of-art in transmission control showing that current development methods are reaching their limits. Artificial intelligence (AI) offers many advantages such as optimization, learning algorithms and databased modelling. AI thus opens up new possibilities for designing control algorithms. This paper includes a literature review showing that AI methods in vehicle powertrains has not yet been adequately researched, especially in the design of control algorithms in hybrid vehicle transmissions. From this, the authors derive the research hypothesis that AI methods increase the accuracy and robustness of control algorithms in hybrid vehicle transmissions. Research questions are: Which challenges exist in hybrid vehicle transmission control? Which AI methods are useful in this area? What are the boundary conditions and benefits of those methods? Finally, the paper describes a research methodology to answer those questions including the analysis of the state-of-art in transmission control, expert interviews, and validation experiments.","PeriodicalId":431036,"journal":{"name":"2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130503978","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