IET NetworksPub Date : 2022-12-05DOI: 10.1049/ntw2.12077
Shuai Zhang, Qiangguo Yin, Jinlong Wang
{"title":"Elevator dynamic monitoring and early warning system based on machine learning algorithm","authors":"Shuai Zhang, Qiangguo Yin, Jinlong Wang","doi":"10.1049/ntw2.12077","DOIUrl":"https://doi.org/10.1049/ntw2.12077","url":null,"abstract":"","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47336401","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}
IET NetworksPub Date : 2022-11-21DOI: 10.1049/ntw2.12071
Nurul Muizzah Johari, Puteri N. E. Nohuddin, A. Baharin, N. Yakob, Mohammad Javad Ebadi
{"title":"Features requirement elicitation process for designing a chatbot application","authors":"Nurul Muizzah Johari, Puteri N. E. Nohuddin, A. Baharin, N. Yakob, Mohammad Javad Ebadi","doi":"10.1049/ntw2.12071","DOIUrl":"https://doi.org/10.1049/ntw2.12071","url":null,"abstract":"","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43196296","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}
IET NetworksPub Date : 2022-11-19DOI: 10.1049/ntw2.12070
Bin Wang, Wei Yue
{"title":"Parametric design method of building structured cabling system oriented to data mining","authors":"Bin Wang, Wei Yue","doi":"10.1049/ntw2.12070","DOIUrl":"https://doi.org/10.1049/ntw2.12070","url":null,"abstract":"","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47081631","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}
{"title":"Precision agriculture intelligent connection network based on visual navigation","authors":"Sudan Chen, Mingkun Zhang, Xiuzhen Li, Xueqiang Li, Wanying Liu, Baofeng Ji","doi":"10.1049/ntw2.12068","DOIUrl":"10.1049/ntw2.12068","url":null,"abstract":"<p>In the process of contemporary agricultural production, the application of intelligent connection and automatic navigation technology of modern agricultural machinery is increasingly common. The application of visual navigation technology in the field of intelligent connection of agricultural machines can provide accurate and reliable positioning signals for agricultural machines so as to carry out intelligent and automatic agricultural machinery operations. In order to realise precision agricultural operation and intelligent navigation, a network of combining decision-making by using visual navigation recognition and image processing is proposed. The system design mainly includes two parts: visual navigation system and control network. Agricultural machinery uses monocular vision image acquisition to collect farmland image. The computer analyzes the image, extracts the navigation centreline, obtains the navigation path information, and completes the identification and positioning of the navigation path. The simulation process verifies that the designed image navigation precision agricultural intelligent connection network can provide efficient, precise, and intelligent control of agricultural machinery.</p>","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ntw2.12068","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49463733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IET NetworksPub Date : 2022-10-30DOI: 10.1049/ntw2.12069
Keyong Shao, Ao Feng, Tingting Wang, Wenju Li, Jilu Jiang
{"title":"Finite-time sliding mode synchronisation of a fractional-order hyperchaotic system optimised using a differential evolution algorithm with dual neural networks","authors":"Keyong Shao, Ao Feng, Tingting Wang, Wenju Li, Jilu Jiang","doi":"10.1049/ntw2.12069","DOIUrl":"10.1049/ntw2.12069","url":null,"abstract":"<p>To solve the synchronisation problem associated with fractional-order hyperchaotic systems, in this study, a new dual-neural network finite-time sliding mode control method was developed, and a differential evolution algorithm was used to optimise the switching gain, control parameters, and sliding mode surface parameters, greatly reducing chattering problems in sliding mode controllers. By using the developed method, the complete synchronisation of the drive system and the response system of a fractional-order hyperchaotic system was realised in a finite time; moreover, the stability of the error system under this method was proved by using Lyapunov stability theorem. Numerical simulation results verified the feasibility and superiority of the method.</p>","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ntw2.12069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47967560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IET NetworksPub Date : 2022-10-21DOI: 10.1049/ntw2.12067
Saifeng Hou, Yuxiang Hu, Le Tian
{"title":"Named data network dynamic cache placement strategy based on programmable data plane","authors":"Saifeng Hou, Yuxiang Hu, Le Tian","doi":"10.1049/ntw2.12067","DOIUrl":"10.1049/ntw2.12067","url":null,"abstract":"<p>Aiming at the efficiency and implementation of in-network cache in Named Data Network, an in-network cache method based on the programmable data plane was proposed. Set the cache port on the programmable data plane, when the cache policy determined that the content needs to be cached, set the output port as the cache port and forward it to the cache unit for caching. According to the different requirements of different contents on Quality of Service, the request contents were classified. And the cache probability of classified contents was calculated based on the content popularity and the cache cooperation information between nodes. The cache threshold was dynamically set according to the state of cache space occupancy and compared with the cache probability to determine whether to cache the contents. Experimental results show that the proposed cache placement strategy can effectively improve the cache hit ratio and reduce the average transmission latency compared with the traditional cache placement strategy.</p>","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ntw2.12067","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44752354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IET NetworksPub Date : 2022-10-14DOI: 10.1109/IET-ICETA56553.2022.9971673
Meilan Chen, Pei-Gang Chen, Che-Yu Lu
{"title":"Energy Saving Potential Evaluation for U-V Connection Power System-Case Study in Taipower","authors":"Meilan Chen, Pei-Gang Chen, Che-Yu Lu","doi":"10.1109/IET-ICETA56553.2022.9971673","DOIUrl":"https://doi.org/10.1109/IET-ICETA56553.2022.9971673","url":null,"abstract":"There have always been many disagreements over applying open-wye open-delta transformer connection for supplying small business users. However, as the most commonly used power supply method for Taiwan’s $3Phi 3mathrm{W}220mathrm{V}$ system, it is not without its advantages. There are more reasons for being stigmatized because of user misuse. This study intends to discuss this electric utility system from the point of view of energy saving, and try to propose improvement schemes.","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74866847","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}
IET NetworksPub Date : 2022-10-14DOI: 10.1109/IET-ICETA56553.2022.9971576
Nuttapat Jittratorn, G. Chang, Guan-Yi Li
{"title":"A Hybrid Method for Hour-ahead PV Output Forecast with Historical Data Clustering","authors":"Nuttapat Jittratorn, G. Chang, Guan-Yi Li","doi":"10.1109/IET-ICETA56553.2022.9971576","DOIUrl":"https://doi.org/10.1109/IET-ICETA56553.2022.9971576","url":null,"abstract":"An accurate forecast of the photovoltaic (PV) output can indispensably enhance the stability of power supply. However, the effectiveness of prediction results highly depends on many factors and the data preparations are also an essential process to be considered. The focus of this paper is to classify PV data types by density-based spatial clustering of applications with noise (DBSCAN). Then, the procedure for historical data clustering and for hour-ahead PV output forecast implemented by back propagation neural network (BPNN) model is present. Forecasted results show that data clustering provided by DBSCAN can efficiently classify the PV data types for input to BPNN to achieve better accuracy.","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80010868","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}
IET NetworksPub Date : 2022-10-14DOI: 10.1109/IET-ICETA56553.2022.9971624
W. Fang, Lam Tuyen Le, Chen-Han Yu
{"title":"A Friendly Vision Enhancement System Prototype Development for Text Content","authors":"W. Fang, Lam Tuyen Le, Chen-Han Yu","doi":"10.1109/IET-ICETA56553.2022.9971624","DOIUrl":"https://doi.org/10.1109/IET-ICETA56553.2022.9971624","url":null,"abstract":"This paper proposes a system that helps users to enhance their reading ability. A reading enhancement system has been developed based on image capture, image processing, segmentation, and pattern recognition. This system not only provides a better user experience than using a telescope or just a smartphone but also facilitates efficient reading. The result of this paper has been validated in the classroom and laboratory. In the future, researchers can use this system to study the user experience of glasses or help disabled people to get better learning results.","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79311256","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}