International Journal on Smart Sensing and Intelligent Systems最新文献_第5页

Cybersecurity in Smart and Intelligent Manufacturing Systems 智能制造系统中的网络安全

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-11-09 DOI: 10.1201/9781003215349-8

Abbas Moallem

引用次数: 0

Agent Transparency 代理的透明度

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-11-09 DOI: 10.1201/9781003215349-4

Jessie Y. C. Chen

引用次数: 2

User State Assessment in Adaptive Intelligent Systems 自适应智能系统中的用户状态评估

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-11-09 DOI: 10.1201/9781003215349-3

J. Schwarz

引用次数: 1

Intelligent Affect-Sensitive Tutoring Systems 智能情感敏感辅导系统

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-11-09 DOI: 10.1201/9781003215349-2

Hossein Sarrafzadeh, Farhad Mehdipour

引用次数: 1

Smart Educational System 智慧教育系统

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-11-09 DOI: 10.1201/9781003215349-1

M. Moallem

引用次数: 1

Human Elements in Machine Learning-Based Solutions to Cybersecurity 基于机器学习的网络安全解决方案中的人为因素

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-11-09 DOI: 10.1201/9781003215349-7

Mohd Anwar, Hilda Goins, Tianyang Zhang, Xiangfeng Dai

引用次数: 1

Smart Telehealth Systems for the Aging Population 老龄化人口的智能远程医疗系统

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-11-09 DOI: 10.1201/9781003215349-5

Carl Markert, J. Moon, F. Sasangohar

引用次数: 0

TDMA-clustering-based approach to avoid the reader-to-tag collision problem during the stocktaking process 基于TDMA聚类的方法避免盘点过程中读取器到标签的冲突问题

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.21307/IJSSIS-2021-009

Sara El Ouadaa, Slimane Bah, A. Berrado

{"title":"TDMA-clustering-based approach to avoid the reader-to-tag collision problem during the stocktaking process","authors":"Sara El Ouadaa, Slimane Bah, A. Berrado","doi":"10.21307/IJSSIS-2021-009","DOIUrl":"https://doi.org/10.21307/IJSSIS-2021-009","url":null,"abstract":"Abstract The reader-to-tag collision problem occurs when multiple readers try to access the same tag simultaneously. The traditional collision avoidance techniques such as RTS (request to send) and CTS (clear to send) are not applicable because a reader may communicate with multiple tags simultaneously. In this paper, we introduce a collaborative communication protocol to avoid reader-to-tag collisions using TDMA and clustering approaches. The protocol targets the RFID-WSN static systems arranged in a square grid topology, which we can find in different RFID applications such as warehouse stocktaking, parking cars, agricultural fields, and libraries. In such simple topologies, the other proposed reader collision solutions for general use of RFID systems are not efficient since they cannot avoid all possible collisions, and worse of that, some of them are not even detectable, which is intolerable for stocktaking applications. Moreover, they are complicated and heavy in resources, while read throughput is limited. Our protocol presents a simple solution for simple RFID systems with better performances. To validate the proposed protocol, we presented a model using the Process Meta Language (Promela), which is executed under the simple Promela interpreter (SPIN) model checker to verify the protocol properties as deadlocks and livelocks. Also as a proof of concept, we have done a first-step performance analysis using the java runtime.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"14 1","pages":"1 - 14"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43219098","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

Comparative study of Kalman filter-based target motion analysis by incorporating Doppler frequency measurements 结合多普勒频率测量的卡尔曼滤波目标运动分析的比较研究

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.21307/IJSSIS-2021-008

Ehsan ul haq, H. Nasir, Asif Iqbal, Muhammad Ali Qadir

{"title":"Comparative study of Kalman filter-based target motion analysis by incorporating Doppler frequency measurements","authors":"Ehsan ul haq, H. Nasir, Asif Iqbal, Muhammad Ali Qadir","doi":"10.21307/IJSSIS-2021-008","DOIUrl":"https://doi.org/10.21307/IJSSIS-2021-008","url":null,"abstract":"Abstract Target motion analysis is a key requirement of autonomous and self-driving machines like drones and robots. However, with strict weight limits, the aerospace industry is always on the hunt for simpler and lighter sensing solutions. Continuous-wave Doppler radars are the simplest radars that can easily obtain a target’s relative velocity using the Doppler shift in the received wave. However, these radars cannot provide the target’s range. In this work, we address the problem of obtaining target’s range and velocity by incorporating Doppler frequency measurements from a simple continuous wave Doppler radar. To this end, we find out the movement patterns and maneuvers that an observer can make to converge to the target’s location. After presenting the observability requirements, we design and compare various non-linear Kalman filter-based target trackers. We experimented with different simulation scenarios to compare the tracking results with bearings-only, frequency-only, and bearings-frequency measurement sets. In our analysis, Unscented Kalman Filter with bearings-frequency measurements performed best. Experiments show that an observer can locate the target accurately within 10 cm by incorporating Doppler frequency measurements. Moreover, it also reduced the convergence time to a fraction of a second.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 12"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44033362","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

An efficient sentiment analysis using topic model based optimized recurrent neural network 基于主题模型的优化递归神经网络的情感分析

IF 1.2

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2021-01-01 DOI: 10.21307/ijssis-2021-011

Nikhlesh Pathik, Pragya Shukla

引用次数: 2