{"title":"Editorial for the special issue: cognitive computing and cyber physical systems for smart environments and green manufacturing processes, management and projects","authors":"Vincenzo Loia, Angelo Gaeta","doi":"10.20517/jsegc.2023.23","DOIUrl":"https://doi.org/10.20517/jsegc.2023.23","url":null,"abstract":"","PeriodicalId":329481,"journal":{"name":"Journal of Smart Environments and Green Computing","volume":"30 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174166","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":"An overview of Big Data in Healthcare: multiple angle analyses","authors":"Xunjie Gou, Zeshui Xu","doi":"10.20517/JSEGC.2021.07","DOIUrl":"https://doi.org/10.20517/JSEGC.2021.07","url":null,"abstract":"Big data have been in use since the 1990s, which usually include some complex data sets whose sizes are beyond the ability of commonly used software to handle within a reasonable period of time. In recent years, big data analytics by providing personalized medicine and regulation analysis, providing clinical risk intervention and forecast analysis, reducing waste and nursing patients with external and internal variability, standardization of medical terminology and patient registration, and fragmentation of the solution, help to improve health care. This paper provides an overview of the contents of big data healthcare. We summarize some kinds of medical big data, including the electronic health records, the medical image data, the healthcare system big data, the health Internet of Things and healthcare informatics, the remote medical monitoring big data, the biomedical big data, and other sources of big data. Furthermore, we discuss some methods for handling different kinds of medical big data. Additionally, we analyze the privacy of medical big data and summarize some methods and technologies to protect privacy. Aiming at some special cases, we list some other analyses and methods for them. Most importantly, we discuss the potential challenges and future research directions related to big data healthcare.","PeriodicalId":329481,"journal":{"name":"Journal of Smart Environments and Green Computing","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133888457","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":"Exploring research hypotheses in green computing","authors":"Ikram Hamizi, Zamira Kholmatova, G. Succi","doi":"10.20517/jsegc.2021.05","DOIUrl":"https://doi.org/10.20517/jsegc.2021.05","url":null,"abstract":"This paper reviews the research work done in the last 11 years in the area of green computing and analyzes the associated hypotheses, which are then structured in taxonomy and explored to pave the way for a comprehensive view of future research in the area. With the help of the taxonomy, we can understand which of the problems needs more attention. For example, when there is a small number of studies related to a problem, research needs to be conducted on this topic, while a huge number of studies could raise contradictory results that can be aggregated to a unified answer with a meta-analysis. Among the hypotheses generated, one can choose to investigate the hypotheses with a sufficient number of papers.","PeriodicalId":329481,"journal":{"name":"Journal of Smart Environments and Green Computing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117308544","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":"Review on the Interactions of Green Computing and Computational Intelligence techniques and their Applications to Real-World Problems","authors":"O. Castillo, P. Melin","doi":"10.20517/jsegc.2021.01","DOIUrl":"https://doi.org/10.20517/jsegc.2021.01","url":null,"abstract":"The present paper describes a comprehensive review on the current state of art on the interactions of the green computing and computational intelligence areas and their applications to real world-problems. Green computing can be viewed as the responsible use of computers and their corresponding resources for achieving environmental and ecological goals. On the other hand, computational intelligence is an area consisting of methods and models for building intelligent systems, such as neural network models, fuzzy logic systems and genetic algorithms. The interaction of the two areas could produce intelligent systems that can achieve environmentally responsible and eco-friendly applications, which can help really achieve the main goals of green computing. The present review summarizes the most relevant existing works on these areas, as well as the current applications that have been done to the moment. In addition, an analysis on the trends of current existing works and a discussion of possible research trends are also offered. The significance of this paper is the presentation in a unified way of the main concepts of green computing and computational intelligence, as well their current and future applications. We strongly believe that this paper could help lay the foundation for a new hybrid area combining green computing with computational intelligence, which would be very important because up to now both areas have been flourishing apart and they could both benefit by interacting with each other. Page 104 Castillo et al. J Smart Environ Green Comput 2021;1:103-19 https://dx.doi.org/10.20517/jsegc.2021.01","PeriodicalId":329481,"journal":{"name":"Journal of Smart Environments and Green Computing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131467920","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}
S. Bohra, A. Anvari‐Moghaddam, F. Blaabjerg, B. Mohammadi-ivatloo
{"title":"Multi-criteria planning of microgrids for rural electrification","authors":"S. Bohra, A. Anvari‐Moghaddam, F. Blaabjerg, B. Mohammadi-ivatloo","doi":"10.20517/jsegc.2021.06","DOIUrl":"https://doi.org/10.20517/jsegc.2021.06","url":null,"abstract":"Aim: The objective of this study is to facilitate decision makers’ selection of groups of components for isolated microgrid which should not only be economically attractive and efficient but also acceptable from various aspects. The microgrid is designed to serve a rural remote region of Tanzania with an approximate energy demand of 1000 kWh/day. Methods: A comprehensive comparison has been presented using (Hybrid Optimization Model for Electric Renewable) HOMER Pro software and fuzzy analytic hierarchy process (AHP)-based multi-criteria decisionmaking (MCDM) (fuzzy-AHP-MCDM) technique for planning of isolated microgrid systems which is formed by using a group of sources, like photo-voltaic (PV) generator, wind-turbine, micro-hydro, bio-gas based generation and battery storage system. In this study, ten various alternatives comprising a blend of the aforementioned sources have been considered. A group of households having an approximate load demand of 1000 kWh/day located near Arusha in Tanzania has been selected for this study. Results: A levelized cost of energy of 0.0694 $/kWh has been found for the optimized case using HOMER Pro comprising all five aforesaid components. Conclusion: The fuzzy-AHP-MCDM technique also exhibits highest priority for a similar combination when only the economic criteria are considered and all other criteria are being suppressed significantly. On the other side, a different group consisting only PV and wind-based generation is found prioritized when all criteria are taken Page 121 Bohra et al . J Smart Environ Green Comput 2021;1:120-34 I http://dx.doi.org/10.20517/jsegc.2021.06 into account with different weights, either based on experts’ score or equal importance. Moreover, a sensitivity analysis has also been conducted to observe the impact of alternative selections.","PeriodicalId":329481,"journal":{"name":"Journal of Smart Environments and Green Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128649109","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":"Damage prediction of transmission lines under typhoon disasters considering multi-effect","authors":"H. Hou, Zhiwei Zhang, Shiwen Yu, Yong Huang, Yongxi Zhang, Zhaoyang Dong","doi":"10.20517/JSEGC.2020.04","DOIUrl":"https://doi.org/10.20517/JSEGC.2020.04","url":null,"abstract":"Aim: It is necessary to study the resilience of transmission lines under typhoon disasters considering multi-effect, because typhoon disasters pose a great threat to coastal transmission lines and existing research ignored multi-effect and obtained conservative results. Method: This paper proposes a method to predict the damage of transmission towers under typhoon disasters considering the multi-effect of tower-line coupling, aging, corrosion, guy wire reinforcement, etc. The tower-line coupling effect uses a two-step reliability model. The first step calculates the damage probability of transmission lines. Then, we couple the wind load of transmission lines to towers through binomial distribution. The second step calculates the damage probability of transmission towers. The aging effect uses two-parameter Weibull distribution to calculate the aging failure probability. The corrosion effect uses the uniform corrosion theory to calculate the corrosion failure probability. The guy wire reinforcement is realized by increasing the mean value of design wind load for strength curves. Next, this paper uses probability addition equation to integrate multi-effect and obtained the final damage prediction results. Finally, we used the 110-kV THJ (TieHaiJia) line in Guangdong province, China under Typhoon “Mangkhut” in 2018 as an example to check the accuracy of proposed method. Results: The results show that the comprehensive failure probability is close to 1, and the reinforcement effect can only reduce the failure probability by 0.003. Conclusion: It is concluded that considering the tower-line coupling effect to improve failure probability is closer to practice, but the reinforcement effect should not be blindly improved.","PeriodicalId":329481,"journal":{"name":"Journal of Smart Environments and Green Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130991367","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":"Recommender Systems in E-learning","authors":"Qian Zhang, Jie Lu, Guangquan Zhang","doi":"10.20517/JSEGC.2020.06","DOIUrl":"https://doi.org/10.20517/JSEGC.2020.06","url":null,"abstract":"In this era when every aspect of society is accelerating, people are always seeking improvement to stay competitive in their careers. E-learning systems fit into the ever challenging situation and provide learners with remote learning opportunities and abundant learning resources. Facing with the numerous resources online, users need support in deciding which course to take, thus recommender systems are applied in E-learning to provide learners with personalized services by automatically identifying their preferences. This position paper systematically discusses the main recommendation techniques employed in in E-learning and identifies new research directions. Three main recommendation techniques are reviewed in this paper: content-based, collaborative filtering-based and knowledge-based recommendations. The basic mechanism of these technique together with how they are used to fulfill the specific requirements in the context of E-learning are highlighted and presented. The observations in this paper could support researchers and practitioners to better understand the current development and future directions of recommender systems in E-learning.","PeriodicalId":329481,"journal":{"name":"Journal of Smart Environments and Green Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129528104","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":"Application of novel DEA-SWARA-WASPAS model for efficiency assessment of agricultural products","authors":"E. Zavadskas, Irena Đalić, Željko Stević","doi":"10.20517/JSEGC.2020.02","DOIUrl":"https://doi.org/10.20517/JSEGC.2020.02","url":null,"abstract":"Edmundas Kazimieras Zavadskas, Irena Đalić, Željko Stević Institute of Sustainable Construction, Vilnius Gediminas Technical University, LT 10223 Vilnius, Lithuania. Faculty of Economics, University of Banja Luka, Majke Jugovića 4, Banja Luka 78000, Bosnia and Herzegovina. Faculty of Transport and Traffic Engineering, University of East Sarajevo, Vojvode Mišića 52, Doboj 74000, Bosnia and Herzegovina.","PeriodicalId":329481,"journal":{"name":"Journal of Smart Environments and Green Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125464203","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":"Green computing: three examples of how non-trivial mathematical analysis can help","authors":"V. Kreinovich, O. Kosheleva","doi":"10.20517/jsegc.2021.11","DOIUrl":"https://doi.org/10.20517/jsegc.2021.11","url":null,"abstract":"Environment-related problems are extremely important for mankind, the fate of humanity itself depends on our ability to solve these problems. These problems are complex, we cannot solve them without using powerful computers. Thus, in the environmental research, environment-related computing is one of the main computing-related research directions. Another direction is related to the fact that computing itself can be (and currently is) harmful for the environment. How to make computing more environment-friendly, how to move towards green computing – this is the second important direction. A third direction is motivated by the very complexity of environmental systems: it is difficult to predict how environment will change. This seemingly negative difficulty can be reformulated in more positive terms: that by observing environmental processes, we can find values which are difficult to compute. A similar observation about quantum processes has led to successful quantum computing, so why not use environmental processes themselves to help us compute? This is the third direction in environment-related computing research. In this paper, we provide three examples that show that in all three directions, non-trivial mathematical analysis can help. 1 Computing and Environment: Three Direc-","PeriodicalId":329481,"journal":{"name":"Journal of Smart Environments and Green Computing","volume":"4 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":"131322777","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}