Pub Date : 2020-01-01DOI: 10.21307/ijssis-2020-010
Aqeel M. Hamad alhussainy
Abstract QRS represented the most important part of ECG signal, so different researches and studies are performed for QRS recognition. In this paper, a new technique by using wavelet transform is used for de-noising ECG signal by using adaptive threshold, then DWT used to separate the high frequency from the low component, then compute the statistical information from low frequencies to be used in threshold computation, Based on these statics features, lower and upper threshold are calculated, which are updated according to number of peaks that are detected until two thresholds give same number of peaks, also the detected peaks are updated according to average R–R time. Results of (EDB) database was (Acc = 99.366%), while (LTSTDB) database was (Acc = 98.89%). The results are compared with other work and it is show that the proposed method gave better performance and can be used for QRS detection.
{"title":"QRS complex detection and R–R interval computation based on discrete wavelet transform","authors":"Aqeel M. Hamad alhussainy","doi":"10.21307/ijssis-2020-010","DOIUrl":"https://doi.org/10.21307/ijssis-2020-010","url":null,"abstract":"Abstract QRS represented the most important part of ECG signal, so different researches and studies are performed for QRS recognition. In this paper, a new technique by using wavelet transform is used for de-noising ECG signal by using adaptive threshold, then DWT used to separate the high frequency from the low component, then compute the statistical information from low frequencies to be used in threshold computation, Based on these statics features, lower and upper threshold are calculated, which are updated according to number of peaks that are detected until two thresholds give same number of peaks, also the detected peaks are updated according to average R–R time. Results of (EDB) database was (Acc = 99.366%), while (LTSTDB) database was (Acc = 98.89%). The results are compared with other work and it is show that the proposed method gave better performance and can be used for QRS detection.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"13 1","pages":"1 - 11"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68001801","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}
Pub Date : 2020-01-01DOI: 10.21307/ijssis-2020-004
H. G. Abood, V. Sreeram, Yateendra Mishra
Abstract The performance of the power system state estimation (SE) is influenced by the configuration of the meters and measurement redundancy. Therefore, the measurement set needs to be updated by installing new SCADA meters and phasor measurement units for improving the quality of the SE solution. However, the potential inconsistency between the existing meters and the new meters should be addressed. Otherwise, the additional meters may lead to numerical problems such as collinearity (linear dependence due to duplicated measurements) and the existence of high leverage points (HLPs) (influential measurements). Hence, this paper proposes an incremental meter placement method. The proposed method utilizes the HLPs and aims to improve the numerical performance of the SE and facilitate the elimination of bad data. The cuckoo search optimization is used for selecting the optimal locations and the numbers of the new meters. The performance of the proposed algorithm is tested on UK 18-bus, the IEEE 30-bus, and 118-bus systems and simulation results show improvements in the quality of the SE solution.
{"title":"An incremental meter placement method for state estimation considering collinear measurements and high leverage points","authors":"H. G. Abood, V. Sreeram, Yateendra Mishra","doi":"10.21307/ijssis-2020-004","DOIUrl":"https://doi.org/10.21307/ijssis-2020-004","url":null,"abstract":"Abstract The performance of the power system state estimation (SE) is influenced by the configuration of the meters and measurement redundancy. Therefore, the measurement set needs to be updated by installing new SCADA meters and phasor measurement units for improving the quality of the SE solution. However, the potential inconsistency between the existing meters and the new meters should be addressed. Otherwise, the additional meters may lead to numerical problems such as collinearity (linear dependence due to duplicated measurements) and the existence of high leverage points (HLPs) (influential measurements). Hence, this paper proposes an incremental meter placement method. The proposed method utilizes the HLPs and aims to improve the numerical performance of the SE and facilitate the elimination of bad data. The cuckoo search optimization is used for selecting the optimal locations and the numbers of the new meters. The performance of the proposed algorithm is tested on UK 18-bus, the IEEE 30-bus, and 118-bus systems and simulation results show improvements in the quality of the SE solution.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"13 1","pages":"1 - 12"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41409098","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}
Pub Date : 2020-01-01DOI: 10.21307/ijssis-2020-031
V. Balyan, Rifqah Daniels
Nonorthogonal multiple access (NOMA) transpire out as a solution to revamp the problem of spectral efficiency, allowing some level of interference at receivers. Recently, relays are utilized to improve access of cell edge users. The utilization of relays improves spectral efficiency with reduced outage probability. In this paper, the relays used have the capability of performing successive interference cancellation (SIC) for the users connected to it and regenerates only the signals of the users connected to it. The cell edge users are accessible to the base station in an environment where multiple relays are available, and where the user selects the link with the best channel quality. The user’s mobility is also considered during time sub-slot and used while obtaining the user’s ergodic rate and outage probability in the presence of a higher signal to noise ratio. Simulation results are used to show the performance improvement of the proposed method as compared to available work in literature.
{"title":"Resource allocation for NOMA based networks using relays: cell centre and cell edge users","authors":"V. Balyan, Rifqah Daniels","doi":"10.21307/ijssis-2020-031","DOIUrl":"https://doi.org/10.21307/ijssis-2020-031","url":null,"abstract":"Nonorthogonal multiple access (NOMA) transpire out as a solution to revamp the problem of spectral efficiency, allowing some level of interference at receivers. Recently, relays are utilized to improve access of cell edge users. The utilization of relays improves spectral efficiency with reduced outage probability. In this paper, the relays used have the capability of performing successive interference cancellation (SIC) for the users connected to it and regenerates only the signals of the users connected to it. The cell edge users are accessible to the base station in an environment where multiple relays are available, and where the user selects the link with the best channel quality. The user’s mobility is also considered during time sub-slot and used while obtaining the user’s ergodic rate and outage probability in the presence of a higher signal to noise ratio. Simulation results are used to show the performance improvement of the proposed method as compared to available work in literature.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"13 1","pages":"1-18"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68001929","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}
Pub Date : 2020-01-01DOI: 10.21307/ijssis-2020-019
Anas Mouattah, Khalid Hachemi
Abstract RFID (radio frequency identification) implementation in large buildings requires setting up a grid that implies a lot of RFID readers. Although these readers are not power greedy, their usage can affect the electricity bill in the long run. In this paper, we study the worthiness of upgrading to a motion sensor-based smart RFID system, from a power-efficiency point of view. A decision-support protocol is developed for this purpose that considers the occupancy ratio of the environment where the system is implanted in deciding its feasibility, given that the energy drain depends on it. Moreover, we discuss the optimal way for integrating the motion sensor into the RFID system’s architecture, as this insertion is able to highly reduce the power consumption in the standby mode, in exchange for slightly augmenting the drain during the reading mode. Finally, the developed decision-support protocol is demonstrated through an analogy on the studied upgrade to assess its overall feasibility. The overall results confirm the suitability of the upgrade for most environments.
{"title":"The feasibility of motion sensor-based smart RFID system in improving the power saving","authors":"Anas Mouattah, Khalid Hachemi","doi":"10.21307/ijssis-2020-019","DOIUrl":"https://doi.org/10.21307/ijssis-2020-019","url":null,"abstract":"Abstract RFID (radio frequency identification) implementation in large buildings requires setting up a grid that implies a lot of RFID readers. Although these readers are not power greedy, their usage can affect the electricity bill in the long run. In this paper, we study the worthiness of upgrading to a motion sensor-based smart RFID system, from a power-efficiency point of view. A decision-support protocol is developed for this purpose that considers the occupancy ratio of the environment where the system is implanted in deciding its feasibility, given that the energy drain depends on it. Moreover, we discuss the optimal way for integrating the motion sensor into the RFID system’s architecture, as this insertion is able to highly reduce the power consumption in the standby mode, in exchange for slightly augmenting the drain during the reading mode. Finally, the developed decision-support protocol is demonstrated through an analogy on the studied upgrade to assess its overall feasibility. The overall results confirm the suitability of the upgrade for most environments.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 9"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45460665","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}
Pub Date : 2020-01-01DOI: 10.21307/ijssis-2020-021
Avishkar Seth, Alice James, S. Mukhopadhyay
Abstract A vehicle capable of using sensors to detect and control its driving actions is called an autonomous vehicle. The development of autonomous vehicles caters to many application areas in the technological advancement of society. This research paper shows a demonstration and implementation of an autonomous vehicle based on a convolutional neural network. The vehicle uses a 1/10th scale RC car as its primary base for the system control with the camera as its primary input. For the computing platform, a Raspberry Pi 4 microprocessor board is used. To enhance the capabilities, the ultrasonic sensor has been implemented in the system as well. The unique aspect of this project is the system design, the CAD modeling, and the track built used to train and test the self-driving capability of the car. The CNN model and the software algorithm also are exclusive to this research project. This research has potential in a variety of application areas in education and also for robotics and autonomous car enthusiasts.
能够使用传感器检测和控制其驾驶行为的车辆称为自动驾驶车辆。自动驾驶汽车的发展迎合了社会技术进步的诸多应用领域。本文展示了一种基于卷积神经网络的自动驾驶汽车的演示和实现。车辆使用1/10比例的RC汽车作为其主要基础的系统控制与相机作为其主要输入。计算平台采用Raspberry Pi 4微处理器板。为了提高系统的性能，还在系统中加入了超声波传感器。这个项目的独特之处在于系统设计、CAD建模和用于训练和测试汽车自动驾驶能力的轨道。CNN模型和软件算法也是本研究项目所独有的。这项研究在教育、机器人和自动驾驶汽车爱好者的各种应用领域都有潜力。
{"title":"1/10th scale autonomous vehicle based on convolutional neural network","authors":"Avishkar Seth, Alice James, S. Mukhopadhyay","doi":"10.21307/ijssis-2020-021","DOIUrl":"https://doi.org/10.21307/ijssis-2020-021","url":null,"abstract":"Abstract A vehicle capable of using sensors to detect and control its driving actions is called an autonomous vehicle. The development of autonomous vehicles caters to many application areas in the technological advancement of society. This research paper shows a demonstration and implementation of an autonomous vehicle based on a convolutional neural network. The vehicle uses a 1/10th scale RC car as its primary base for the system control with the camera as its primary input. For the computing platform, a Raspberry Pi 4 microprocessor board is used. To enhance the capabilities, the ultrasonic sensor has been implemented in the system as well. The unique aspect of this project is the system design, the CAD modeling, and the track built used to train and test the self-driving capability of the car. The CNN model and the software algorithm also are exclusive to this research project. This research has potential in a variety of application areas in education and also for robotics and autonomous car enthusiasts.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"13 1","pages":"1 - 17"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46742069","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}
Pub Date : 2020-01-01DOI: 10.21307/IJSSIS-2020-029
M. Hashmani, Syed Muslim Jameel, M. Rehman, A. Inoue
Abstract Concept Drift’s issue is a decisive problem of online machine learning, which causes massive performance degradation in the analysis. The Concept Drift is observed when data’s statistical properties vary at a different time step and deteriorate the trained model’s accuracy and make them ineffective. However, online machine learning has significant importance to fulfill the demands of the current computing revolution. Moreover, it is essential to understand the existing Concept Drift handling techniques to determine their associated pitfalls and propose robust solutions. This study attempts to summarize and clarify the empirical pieces of evidence of the Concept Drift issue and assess its applicability to meet the current computing revolution. Also, this study provides a few possible research directions and practical implications of Concept Drift handling.
{"title":"Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review","authors":"M. Hashmani, Syed Muslim Jameel, M. Rehman, A. Inoue","doi":"10.21307/IJSSIS-2020-029","DOIUrl":"https://doi.org/10.21307/IJSSIS-2020-029","url":null,"abstract":"Abstract Concept Drift’s issue is a decisive problem of online machine learning, which causes massive performance degradation in the analysis. The Concept Drift is observed when data’s statistical properties vary at a different time step and deteriorate the trained model’s accuracy and make them ineffective. However, online machine learning has significant importance to fulfill the demands of the current computing revolution. Moreover, it is essential to understand the existing Concept Drift handling techniques to determine their associated pitfalls and propose robust solutions. This study attempts to summarize and clarify the empirical pieces of evidence of the Concept Drift issue and assess its applicability to meet the current computing revolution. Also, this study provides a few possible research directions and practical implications of Concept Drift handling.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"13 1","pages":"1 - 16"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43052390","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}
Pub Date : 2020-01-01DOI: 10.21307/ijssis-2020-015
M. Abdellatif, Salma M. Maher, Ghazal M. Al-sayyad, S. Abdellatif
Abstract Underwater communication (UWC) has become an attractive research field over the past few decades. This is mainly due to the increase in underwater applications such as exploration, monitoring, and warning systems. Traditional communications techniques face many obstacles when used underwater. Optical communications require line of sight which is not always maintained underwater due to turbulence. Acoustic communication does not suffer from that, however, it can only operate with very low rates. While radio frequency (RF) communication can only operate over short distances due to the attenuation from the water, it can deliver relatively high data rates and does not require line of sight nor affected by turbulence. Additionally, it does not suffer much when crossing the air–water boundaries. Moreover, underwater nodes require a new method of powering as it is not feasible to change their batteries when they are depleted. And so, we have investigated underwater solar power harvesters as a means to power the underwater nodes. In this paper, we design, implement, integrate, and test a low cost solar powered RF underwater modem to be used as a building block of an underwater wireless sensor network. The system was tested with multiple nodes to allow multi-hop communications in order to increase the communication distance. Results show that the network operates with a moderate to high throughput from end to end.
{"title":"Implementation of a low cost, solar charged RF modem for underwater wireless sensor networks","authors":"M. Abdellatif, Salma M. Maher, Ghazal M. Al-sayyad, S. Abdellatif","doi":"10.21307/ijssis-2020-015","DOIUrl":"https://doi.org/10.21307/ijssis-2020-015","url":null,"abstract":"Abstract Underwater communication (UWC) has become an attractive research field over the past few decades. This is mainly due to the increase in underwater applications such as exploration, monitoring, and warning systems. Traditional communications techniques face many obstacles when used underwater. Optical communications require line of sight which is not always maintained underwater due to turbulence. Acoustic communication does not suffer from that, however, it can only operate with very low rates. While radio frequency (RF) communication can only operate over short distances due to the attenuation from the water, it can deliver relatively high data rates and does not require line of sight nor affected by turbulence. Additionally, it does not suffer much when crossing the air–water boundaries. Moreover, underwater nodes require a new method of powering as it is not feasible to change their batteries when they are depleted. And so, we have investigated underwater solar power harvesters as a means to power the underwater nodes. In this paper, we design, implement, integrate, and test a low cost solar powered RF underwater modem to be used as a building block of an underwater wireless sensor network. The system was tested with multiple nodes to allow multi-hop communications in order to increase the communication distance. Results show that the network operates with a moderate to high throughput from end to end.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"13 1","pages":"1 - 11"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43482493","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}
Pub Date : 2020-01-01DOI: 10.21307/ijssis-2020-032
Gurpurneet Kaur, S. S. Gill, M. Rattan
Abstract Fin-typed field effect transistor (FinFET) has considered a suitable device for low power and high-performance applications. The incorporation of gate dielectric lanthanum doped zirconium oxide (LaZrO2) in the 14 nm silicon on insulator (SOI) FinFET not only enhanced effective carrier mobility but also diminished the short channel effects (SCEs). The FinFET embodiment with LaZrO2 has dwindled subthreshold swing (SS), reduced drain-induced barrier lowering (DIBL), and raised on-current to off-current ratio as a contrast to SiO2-based FinFET. A remarkable enhancement of 1.18×, 11×, and 1.3× for transconductance (gm), early voltage (VEA), and an intrinsic gain (AV), respectively, have been investigated. Further, LaZrO2-based n-FinFET and p-FinFET devices have devised with equal dimensions. The improved noise margin of 0.375 V using a single-fin FinFET-based inverter circuit has proven the acceptance of this device in a circuit application.
{"title":"Impact of lanthanum doped zirconium oxide (LaZrO2) gate dielectric material on FinFET inverter","authors":"Gurpurneet Kaur, S. S. Gill, M. Rattan","doi":"10.21307/ijssis-2020-032","DOIUrl":"https://doi.org/10.21307/ijssis-2020-032","url":null,"abstract":"Abstract Fin-typed field effect transistor (FinFET) has considered a suitable device for low power and high-performance applications. The incorporation of gate dielectric lanthanum doped zirconium oxide (LaZrO2) in the 14 nm silicon on insulator (SOI) FinFET not only enhanced effective carrier mobility but also diminished the short channel effects (SCEs). The FinFET embodiment with LaZrO2 has dwindled subthreshold swing (SS), reduced drain-induced barrier lowering (DIBL), and raised on-current to off-current ratio as a contrast to SiO2-based FinFET. A remarkable enhancement of 1.18×, 11×, and 1.3× for transconductance (gm), early voltage (VEA), and an intrinsic gain (AV), respectively, have been investigated. Further, LaZrO2-based n-FinFET and p-FinFET devices have devised with equal dimensions. The improved noise margin of 0.375 V using a single-fin FinFET-based inverter circuit has proven the acceptance of this device in a circuit application.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 10"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48591843","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}
Pub Date : 2020-01-01DOI: 10.21307/ijssis-2020-018
I. I. Gorial
Abstract In automation and mechatronics applications, mass spring damper system (MSDS) plays a significant role in ensuring model serviceability and safety. The system’s dynamic of this mechanical system is quite challenging to control. In this paper, the system is a single degree of freedom (SDOF) spring mass system. The issue of performance evaluation of three controllers, linear proportional integral derivate (LPID), nonlinear PID (NPID), and fuzzy logic controller (FLC), is presented. FLC demands that experience be built on information based on a rule. It has two inputs, one of which is the displacement and the other is the velocity, and force is calculated for forced damped vibration control for a single degree of freedom system. The method used for defuzzification is the center of gravity (COG). However, effective control of a system depends largely on the accuracy of the mathematical model that predicts its dynamics behavior. The mathematical model for the MSDS is based on a set of nonlinear second-order ordinary differential equations to simulate the dynamic accurately. The proposed control schemes are implemented with the aid of MATLAB and SIMULINK to investigate the system performance. The sequence of the three controllers in terms of performance is as follows: the first of them is FLC and then in some dominant cases this is NPID by comparison with the LPID and one without any controller cases. Also, FLC displays more effectiveness and efficiency than the system without this controller after a comparative of system analysis performance evaluation.
{"title":"Dynamical analysis and controllers performance evaluation for single degree-of-freedom system","authors":"I. I. Gorial","doi":"10.21307/ijssis-2020-018","DOIUrl":"https://doi.org/10.21307/ijssis-2020-018","url":null,"abstract":"Abstract In automation and mechatronics applications, mass spring damper system (MSDS) plays a significant role in ensuring model serviceability and safety. The system’s dynamic of this mechanical system is quite challenging to control. In this paper, the system is a single degree of freedom (SDOF) spring mass system. The issue of performance evaluation of three controllers, linear proportional integral derivate (LPID), nonlinear PID (NPID), and fuzzy logic controller (FLC), is presented. FLC demands that experience be built on information based on a rule. It has two inputs, one of which is the displacement and the other is the velocity, and force is calculated for forced damped vibration control for a single degree of freedom system. The method used for defuzzification is the center of gravity (COG). However, effective control of a system depends largely on the accuracy of the mathematical model that predicts its dynamics behavior. The mathematical model for the MSDS is based on a set of nonlinear second-order ordinary differential equations to simulate the dynamic accurately. The proposed control schemes are implemented with the aid of MATLAB and SIMULINK to investigate the system performance. The sequence of the three controllers in terms of performance is as follows: the first of them is FLC and then in some dominant cases this is NPID by comparison with the LPID and one without any controller cases. Also, FLC displays more effectiveness and efficiency than the system without this controller after a comparative of system analysis performance evaluation.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 12"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47118561","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}
Pub Date : 2020-01-01DOI: 10.21307/ijssis-2020-008
I. Jung
Abstract Many automation technologies using software are making humans convenient. One of these technologies is to collect data through cameras and sensors that are common in personal life and automatically recognize human and human activities. The goal of automation is to analyze the various types of big data that are difficult to perform mechanical data mining. Raw data collected from cameras and sensors are nothing but big data before analysis. In this case, how to protect data by secure storage is the most important issue. However, when the context-aware semantic information such as a specific person and his behavior is extracted from the analysis, the security sensitivity is increased. In other words, the secondary information generated by interpreting and extracting personal location and behavioral information contained in images and videos is linked to other personal information, causing privacy infringement issues. Privacy issues become important because there is a lot of software that everyone can access. Therefore, it is necessary to study privacy protection methods in the automatic recognition of human and human activities. This paper analyzes the cutting-edge research trends, techniques, and issues of privacy-preserving human and human activity recognition.
{"title":"A review of privacy-preserving human and human activity recognition","authors":"I. Jung","doi":"10.21307/ijssis-2020-008","DOIUrl":"https://doi.org/10.21307/ijssis-2020-008","url":null,"abstract":"Abstract Many automation technologies using software are making humans convenient. One of these technologies is to collect data through cameras and sensors that are common in personal life and automatically recognize human and human activities. The goal of automation is to analyze the various types of big data that are difficult to perform mechanical data mining. Raw data collected from cameras and sensors are nothing but big data before analysis. In this case, how to protect data by secure storage is the most important issue. However, when the context-aware semantic information such as a specific person and his behavior is extracted from the analysis, the security sensitivity is increased. In other words, the secondary information generated by interpreting and extracting personal location and behavioral information contained in images and videos is linked to other personal information, causing privacy infringement issues. Privacy issues become important because there is a lot of software that everyone can access. Therefore, it is necessary to study privacy protection methods in the automatic recognition of human and human activities. This paper analyzes the cutting-edge research trends, techniques, and issues of privacy-preserving human and human activity recognition.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 13"},"PeriodicalIF":1.2,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45325945","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：