Pub Date : 1900-01-01DOI: 10.32604/jiot.2020.011792
Yuxin Xu, Zilong Jin, Xiaorui Zhang, Lejun Zhang
The vehicle edge network (VEN) has become a new research hotspot in the Internet of Things (IOT). However, many new delays are generated during the vehicle offloading the task to the edge server, which will greatly reduce the quality of service (QOS) provided by the vehicle edge network. To solve this problem, this paper proposes an evolutionary algorithm-based (EA) task offloading and resource allocation scheme. First, the delay of offloading task to the edge server is generally defined, then the mathematical model of problem is given. Finally, the objective function is optimized by evolutionary algorithm, and the optimal solution is obtained by iteration and averaging. To verify the performance of this method, contrast experiments are conducted. The experimental results show that our purposed method reduces delay and improves QOS, which is superior to other schemes.
{"title":"An Optimization Scheme for Task Offloading and Resource Allocation in Vehicle Edge Networks","authors":"Yuxin Xu, Zilong Jin, Xiaorui Zhang, Lejun Zhang","doi":"10.32604/jiot.2020.011792","DOIUrl":"https://doi.org/10.32604/jiot.2020.011792","url":null,"abstract":"The vehicle edge network (VEN) has become a new research hotspot in the Internet of Things (IOT). However, many new delays are generated during the vehicle offloading the task to the edge server, which will greatly reduce the quality of service (QOS) provided by the vehicle edge network. To solve this problem, this paper proposes an evolutionary algorithm-based (EA) task offloading and resource allocation scheme. First, the delay of offloading task to the edge server is generally defined, then the mathematical model of problem is given. Finally, the objective function is optimized by evolutionary algorithm, and the optimal solution is obtained by iteration and averaging. To verify the performance of this method, contrast experiments are conducted. The experimental results show that our purposed method reduces delay and improves QOS, which is superior to other schemes.","PeriodicalId":345256,"journal":{"name":"Journal on Internet of Things","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126646391","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}
We proposed a method using latent regression Bayesian network (LRBN) to extract the shared speech feature for the input of end-to-end speech recognition model. The structure of LRBN is compact and its parameter learning is fast. Compared with Convolutional Neural Network, it has a simpler and understood structure and less parameters to learn. Experimental results show that the advantage of hybrid LRBN/Bidirectional Long Short-Term Memory-Connectionist Temporal Classification architecture for Tibetan multi-dialect speech recognition, and demonstrate the LRBN is helpful to differentiate among multiple language speech sets.
{"title":"Tibetan Multi-Dialect Speech Recognition Using Latent Regression Bayesian Network and End-To-End Mode","authors":"Yue Zhao, Jianjian Yue, Wei Song, Xiaona Xu, Xiali Li, Licheng Wu, Q. Ji","doi":"10.32604/JIOT.2019.05866","DOIUrl":"https://doi.org/10.32604/JIOT.2019.05866","url":null,"abstract":"We proposed a method using latent regression Bayesian network (LRBN) to extract the shared speech feature for the input of end-to-end speech recognition model. The structure of LRBN is compact and its parameter learning is fast. Compared with Convolutional Neural Network, it has a simpler and understood structure and less parameters to learn. Experimental results show that the advantage of hybrid LRBN/Bidirectional Long Short-Term Memory-Connectionist Temporal Classification architecture for Tibetan multi-dialect speech recognition, and demonstrate the LRBN is helpful to differentiate among multiple language speech sets.","PeriodicalId":345256,"journal":{"name":"Journal on Internet of Things","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116026019","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 : 1900-01-01DOI: 10.32604/jiot.2022.022256
Omer J. Iqbal, Tayyeba Iftakhar, Saleem Zubair Ahmad
{"title":"Internet of Things for in Home Health Based Monitoring System: Modern Advances, Challenges and Future Directions","authors":"Omer J. Iqbal, Tayyeba Iftakhar, Saleem Zubair Ahmad","doi":"10.32604/jiot.2022.022256","DOIUrl":"https://doi.org/10.32604/jiot.2022.022256","url":null,"abstract":"","PeriodicalId":345256,"journal":{"name":"Journal on Internet of Things","volume":"76 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126018920","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 : 1900-01-01DOI: 10.32604/jiot.2020.010107
Yang Tang, Weiwei Liu, Chennan Zhang, Y. He, Ning Ji, Xinyao Chen
{"title":"Research on the Traveling Characteristics and Comparison of Bike Sharing in College Campus–A Case Study in Hangzhou","authors":"Yang Tang, Weiwei Liu, Chennan Zhang, Y. He, Ning Ji, Xinyao Chen","doi":"10.32604/jiot.2020.010107","DOIUrl":"https://doi.org/10.32604/jiot.2020.010107","url":null,"abstract":"","PeriodicalId":345256,"journal":{"name":"Journal on Internet of Things","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121948327","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 : 1900-01-01DOI: 10.32604/jiot.2021.015900
Ghada Sultan Aljumaie, Ghada Hisham Alzeer, Sultan S. Alshamrani
The term Internet of Things has increased in popularity in recent years and has spread to be used in many applications around us, such as healthcare applications, smart homes and smart cities, IoT is a group of smart devices equipped with sensors that have the ability to calculate data, and carry out actions in the environment in which they are located, they are connected to each other through the Internet and recently it has become supported by 5G technology due to many advantages such as its ability to provide a fast connection, despite the efficiency of the IoT supported by the five G technology, it is subject to many security challenges. In this paper, we conducted a comprehensive review of previous research related to the security requirements of the IoT and security attacks.
{"title":"Security Attacks on the IoT Network with 5G Wireless Communication","authors":"Ghada Sultan Aljumaie, Ghada Hisham Alzeer, Sultan S. Alshamrani","doi":"10.32604/jiot.2021.015900","DOIUrl":"https://doi.org/10.32604/jiot.2021.015900","url":null,"abstract":"The term Internet of Things has increased in popularity in recent years and has spread to be used in many applications around us, such as healthcare applications, smart homes and smart cities, IoT is a group of smart devices equipped with sensors that have the ability to calculate data, and carry out actions in the environment in which they are located, they are connected to each other through the Internet and recently it has become supported by 5G technology due to many advantages such as its ability to provide a fast connection, despite the efficiency of the IoT supported by the five G technology, it is subject to many security challenges. In this paper, we conducted a comprehensive review of previous research related to the security requirements of the IoT and security attacks.","PeriodicalId":345256,"journal":{"name":"Journal on Internet of Things","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128182392","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 : 1900-01-01DOI: 10.32604/jiot.2021.018088
Abdullah M. Almuhaideb, Kawther S. Alqudaihi
: Wearable body area network (WBAN) aids the communication between the health providers and patients by supporting health monitoring services. It assists the users to maintain their health status records by collecting the body signals and transmitting them for further processing measurements. However, sensor data are publicly transferred through insecure network that facilitates the attacker malicious acts like performing masquerading attack, man in the middle, and snooping. Several authentication techniques were suggested to levitate the security of the communication channels to preserve the user data from exposure. Moreover, authentication schemes aid plenty of security issues related to user and data privacy, anonymity, repudiation, confidentiality, and integrity, but they lack performance efficiency. On the other hand, it is very hard to find the balance between security and efficiency in most of the authentication schemes, especially for the WBAN platform that consists of memory and processing constraint devices. Therefore, this paper surveys and discusses the latest authentication schemes types, techniques, and system features. Also, it highlights their strengths and weaknesses towards common knowingly attacks and provides a comparison between the popular scheme validation proofs and simulation tools. Thence, this paper draws a path for the new direction of the authentication technologies, the authentication schemes open issues, and the potential future evolution in this area.
{"title":"Authentication in Wireless Body Area Network: Taxonomy and Open Challenges","authors":"Abdullah M. Almuhaideb, Kawther S. Alqudaihi","doi":"10.32604/jiot.2021.018088","DOIUrl":"https://doi.org/10.32604/jiot.2021.018088","url":null,"abstract":": Wearable body area network (WBAN) aids the communication between the health providers and patients by supporting health monitoring services. It assists the users to maintain their health status records by collecting the body signals and transmitting them for further processing measurements. However, sensor data are publicly transferred through insecure network that facilitates the attacker malicious acts like performing masquerading attack, man in the middle, and snooping. Several authentication techniques were suggested to levitate the security of the communication channels to preserve the user data from exposure. Moreover, authentication schemes aid plenty of security issues related to user and data privacy, anonymity, repudiation, confidentiality, and integrity, but they lack performance efficiency. On the other hand, it is very hard to find the balance between security and efficiency in most of the authentication schemes, especially for the WBAN platform that consists of memory and processing constraint devices. Therefore, this paper surveys and discusses the latest authentication schemes types, techniques, and system features. Also, it highlights their strengths and weaknesses towards common knowingly attacks and provides a comparison between the popular scheme validation proofs and simulation tools. Thence, this paper draws a path for the new direction of the authentication technologies, the authentication schemes open issues, and the potential future evolution in this area.","PeriodicalId":345256,"journal":{"name":"Journal on Internet of Things","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130462544","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 : 1900-01-01DOI: 10.32604/jiot.2020.010108
Yang Tang, Weiwei Liu, Y. He, Yuelin Zhang, Fulong Zhang
{"title":"The Development of Generalized Public Bicycles in China and Its Role in the Urban Transportation System","authors":"Yang Tang, Weiwei Liu, Y. He, Yuelin Zhang, Fulong Zhang","doi":"10.32604/jiot.2020.010108","DOIUrl":"https://doi.org/10.32604/jiot.2020.010108","url":null,"abstract":"","PeriodicalId":345256,"journal":{"name":"Journal on Internet of Things","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133890759","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 : 1900-01-01DOI: 10.32604/JIOT.2019.05859
Yong Xie, Z. Tao, Shao Wen, J. Qu, Huan Hai, Tian Chuanyang
Radiation cross-calibration is an effective method to check and verify the accuracy and stability of sensor measurements. Satellites with high radiation accuracy are used to calibrate satellites with low radiation accuracy. In order to ensure the reliability of the radiation cross-calibration method, we propose to obtain the gain and offset of the GaoFen-1 satellite by linear regression after the radiation cross-calibration of the satellite with low precision and compare with the official coefficient. Finally, we get the relationship between the error in radiation cross-calibration results and side swing angle. The linear correction coefficients of each band are: 0.618, 0.625, 0.512 and 0.474. The results show that after the method is corrected by the linear correction coefficient, the error caused by the side swing angle during the cross-calibration of the orbital radiation is reduced. The accuracy of radiation cross-calibration is improved, the frequency of calibration is improved and the requirements of remote sensing applications in the new era are adapted.
{"title":"Radiation Cross Calibration Based on GF-1 Side Swing Angle","authors":"Yong Xie, Z. Tao, Shao Wen, J. Qu, Huan Hai, Tian Chuanyang","doi":"10.32604/JIOT.2019.05859","DOIUrl":"https://doi.org/10.32604/JIOT.2019.05859","url":null,"abstract":"Radiation cross-calibration is an effective method to check and verify the accuracy and stability of sensor measurements. Satellites with high radiation accuracy are used to calibrate satellites with low radiation accuracy. In order to ensure the reliability of the radiation cross-calibration method, we propose to obtain the gain and offset of the GaoFen-1 satellite by linear regression after the radiation cross-calibration of the satellite with low precision and compare with the official coefficient. Finally, we get the relationship between the error in radiation cross-calibration results and side swing angle. The linear correction coefficients of each band are: 0.618, 0.625, 0.512 and 0.474. The results show that after the method is corrected by the linear correction coefficient, the error caused by the side swing angle during the cross-calibration of the orbital radiation is reduced. The accuracy of radiation cross-calibration is improved, the frequency of calibration is improved and the requirements of remote sensing applications in the new era are adapted.","PeriodicalId":345256,"journal":{"name":"Journal on Internet of Things","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128164280","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 : 1900-01-01DOI: 10.32604/jiot.2022.022200
Shruti, Soumen Santra, A. Deyasi
{"title":"Dynamic Automation of a Moving Vehicle at Real Time Along with Position and Condition Tracking","authors":"Shruti, Soumen Santra, A. Deyasi","doi":"10.32604/jiot.2022.022200","DOIUrl":"https://doi.org/10.32604/jiot.2022.022200","url":null,"abstract":"","PeriodicalId":345256,"journal":{"name":"Journal on Internet of Things","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130541719","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 : 1900-01-01DOI: 10.32604/jiot.2020.09797
Shuqiao Liu, Junliang Li, Xiaojie Li
: In the deep lea rning field, “Capsule” structur e aims to overcome the shortcomings of traditional Convolutional Neural Networks (CNN) which are difficult to mine the relationship between sibling features. Capsule Net (CapsNet) is a new type of classification network structure with “Capsule” as network elements. It uses the “Squashing” algorithm as an activation function and Dynamic Routing as a network optimization method to achieve better classification performance. The main problem of the Brain Magnetic Resonance Imaging (Brain MRI) recognition algorithm is that the di ff erence between Alzheimer’s disease (AD) image, the Mild Cognitive Impairment (MCI) image, and the normal image is not significant. It is di fficult to achieve excellent results using a multi-layer CNN. However, CapsNet can be in the case of a shallower network, which can accommodate more useful feature information for identifying brain MRI. In this paper, we designed a shallow CapsNet to identify patients with brain MRI by binary classification. Compared with VGG1 6, Resnet34, DenseNet121 and ResNeXt50. Experimental results illustrate that CapsNet is superior to CNN network in its accuracy and F1-score. The indicators were 86.67% and 83.33%, respectively. Furthermore, we show that the capsule network shows excellent performance in brain MRI recognition compared with those popular networks.
{"title":"Brain MRI Patient Identification Based on Capsule Network","authors":"Shuqiao Liu, Junliang Li, Xiaojie Li","doi":"10.32604/jiot.2020.09797","DOIUrl":"https://doi.org/10.32604/jiot.2020.09797","url":null,"abstract":": In the deep lea rning field, “Capsule” structur e aims to overcome the shortcomings of traditional Convolutional Neural Networks (CNN) which are difficult to mine the relationship between sibling features. Capsule Net (CapsNet) is a new type of classification network structure with “Capsule” as network elements. It uses the “Squashing” algorithm as an activation function and Dynamic Routing as a network optimization method to achieve better classification performance. The main problem of the Brain Magnetic Resonance Imaging (Brain MRI) recognition algorithm is that the di ff erence between Alzheimer’s disease (AD) image, the Mild Cognitive Impairment (MCI) image, and the normal image is not significant. It is di fficult to achieve excellent results using a multi-layer CNN. However, CapsNet can be in the case of a shallower network, which can accommodate more useful feature information for identifying brain MRI. In this paper, we designed a shallow CapsNet to identify patients with brain MRI by binary classification. Compared with VGG1 6, Resnet34, DenseNet121 and ResNeXt50. Experimental results illustrate that CapsNet is superior to CNN network in its accuracy and F1-score. The indicators were 86.67% and 83.33%, respectively. Furthermore, we show that the capsule network shows excellent performance in brain MRI recognition compared with those popular networks.","PeriodicalId":345256,"journal":{"name":"Journal on Internet of Things","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126917154","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}
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