Pub Date : 2020-07-06DOI: 10.20944/preprints202007.0101.v1
S. Dutta, P. Bose, Vishal Goyal, P. Bandyopadhyay
Banks are normally offered two kinds of deposit accounts. It consists of deposits like current/saving account and term deposits like fixed or recurring deposits.For enhancing the maximized profit from bank as well as customer perspective, term deposit can accelerate uplifting of finance fields. This paper focuses on likelihood of term deposit subscription taken by the customers. Bank campaign efforts and customer detail analysis caninfluence term deposit subscription chances. An automated system is approached in this paper that works towards prediction of term deposit investment possibilities in advance. This paper proposes deep learning based hybrid model that stacks Convolutional layers and Recurrent Neural Network (RNN) layers as predictive model. For RNN, Gated Recurrent Unit (GRU) is employed. The proposed predictive model is later compared with other benchmark classifiers such as k-Nearest Neighbor (k-NN), Decision tree classifier (DT), and Multi-layer perceptron classifier (MLP). Experimental study concludesthat proposed model attainsan accuracy of 89.59% and MSE of 0.1041 which outperform wellother baseline models.
{"title":"Applying Convolutional-GRU for Term Deposit Likelihood Prediction","authors":"S. Dutta, P. Bose, Vishal Goyal, P. Bandyopadhyay","doi":"10.20944/preprints202007.0101.v1","DOIUrl":"https://doi.org/10.20944/preprints202007.0101.v1","url":null,"abstract":"Banks are normally offered two kinds of deposit accounts. It consists of deposits like current/saving account and term deposits like fixed or recurring deposits.For enhancing the maximized profit from bank as well as customer perspective, term deposit can accelerate uplifting of finance fields. This paper focuses on likelihood of term deposit subscription taken by the customers. Bank campaign efforts and customer detail analysis caninfluence term deposit subscription chances. An automated system is approached in this paper that works towards prediction of term deposit investment possibilities in advance. This paper proposes deep learning based hybrid model that stacks Convolutional layers and Recurrent Neural Network (RNN) layers as predictive model. For RNN, Gated Recurrent Unit (GRU) is employed. The proposed predictive model is later compared with other benchmark classifiers such as k-Nearest Neighbor (k-NN), Decision tree classifier (DT), and Multi-layer perceptron classifier (MLP). Experimental study concludesthat proposed model attainsan accuracy of 89.59% and MSE of 0.1041 which outperform wellother baseline models.","PeriodicalId":406666,"journal":{"name":"Applied Computing eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129483760","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}
To satisfy the increasing demand for power and reducing CO2 emission, the future generation system must meet the demand, reliability, efficiency and sustainability. This has increased the generation of power by using solar, wind, tidal, and many more. A wireless power transmission using microwave is a system which comprises satellite based solar power system (SPS), microwave generator, microwave transmitter (magnetron) and microwave receiver (rectenna). The DC power received on earth is converted into AC for various useful purposes. This paper gives a comprehensive study of various components of satellite based SPS and projects this technology as a vital source of power generation in future. Wireless power transmission is also be done by mutual induction which provides various charging facility.
{"title":"A Review: Space Based Solar Power (Sbsp) in Development of Smart City","authors":"Sangeeta DebBarman, Shruti Gupta, O. Das","doi":"10.2139/ssrn.3621435","DOIUrl":"https://doi.org/10.2139/ssrn.3621435","url":null,"abstract":"To satisfy the increasing demand for power and reducing CO2 emission, the future generation system must meet the demand, reliability, efficiency and sustainability. This has increased the generation of power by using solar, wind, tidal, and many more. A wireless power transmission using microwave is a system which comprises satellite based solar power system (SPS), microwave generator, microwave transmitter (magnetron) and microwave receiver (rectenna). The DC power received on earth is converted into AC for various useful purposes. This paper gives a comprehensive study of various components of satellite based SPS and projects this technology as a vital source of power generation in future. Wireless power transmission is also be done by mutual induction which provides various charging facility.","PeriodicalId":406666,"journal":{"name":"Applied Computing eJournal","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128384696","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}
This article is designed and developed a model of knowledge for a customer relationship management strategy that controls and manages the satisfaction of customers by their claims and feedback conducted and run by the CommonKADS methodology. Emphasis is mainly focused on the vision of the strategy according to the knowledge and the importance of knowledge as an engine for the strategy and specific knowledge domain using schemas. This article identifies the reasoning to manage customers' satisfaction and is translated into rules of inferences. Subsequently, the model is deployed in the tool of visual technology known as Visirule rules. As a result, the driven type of knowledge that can be utilized for the further development of an intelligent system to administer customer satisfaction by their claims.
{"title":"E-Claim Processing System","authors":"Harish Naik","doi":"10.2139/ssrn.3606022","DOIUrl":"https://doi.org/10.2139/ssrn.3606022","url":null,"abstract":"This article is designed and developed a model of knowledge for a customer relationship management strategy that controls and manages the satisfaction of customers by their claims and feedback conducted and run by the CommonKADS methodology. Emphasis is mainly focused on the vision of the strategy according to the knowledge and the importance of knowledge as an engine for the strategy and specific knowledge domain using schemas. This article identifies the reasoning to manage customers' satisfaction and is translated into rules of inferences. Subsequently, the model is deployed in the tool of visual technology known as Visirule rules. As a result, the driven type of knowledge that can be utilized for the further development of an intelligent system to administer customer satisfaction by their claims.","PeriodicalId":406666,"journal":{"name":"Applied Computing eJournal","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134133303","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}
In this era of globalization, it is quite likely to come across people or community who do not share the same language for communication as us. To acknowledge the problems caused by this, we have machine translation systems being developed. Developers of several reputed organizations like Google LLC, have been working to bring algorithms to support machine translations using machine learning algorithms like Artificial Neural Network (ANN) in order to facilitate machine translation. Several Neural Machine Translations have been developed in this regard, but Recurrent Neural Network (RNN), on the other hand, has not grown much in this field. In our work, we have tried to bring RNN in the field of machine translations, in order to acknowledge the benefits of RNN over ANN. The results show how RNN is able to perform machine translations with proper accuracy.
{"title":"Neural Machine Translation using Recurrent Neural Network","authors":"Debajit Datta, Preetha Evangeline David, Dhruv Mittal, Anukriti Jain","doi":"10.35940/ijeat.d7637.049420","DOIUrl":"https://doi.org/10.35940/ijeat.d7637.049420","url":null,"abstract":"In this era of globalization, it is quite likely to come across people or community who do not share the same language for communication as us. To acknowledge the problems caused by this, we have machine translation systems being developed. Developers of several reputed organizations like Google LLC, have been working to bring algorithms to support machine translations using machine learning algorithms like Artificial Neural Network (ANN) in order to facilitate machine translation. Several Neural Machine Translations have been developed in this regard, but Recurrent Neural Network (RNN), on the other hand, has not grown much in this field. In our work, we have tried to bring RNN in the field of machine translations, in order to acknowledge the benefits of RNN over ANN. The results show how RNN is able to perform machine translations with proper accuracy.","PeriodicalId":406666,"journal":{"name":"Applied Computing eJournal","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114347659","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}
This paper presents a method for the estimation and forecast of worldwide local emission levels based on a space-time extension of a discrete thin-plate smoothing model in the frequency domain. The proposed method can potentially be applied where there is an interest in forecasting the time evolution of large geographical or spatial databases at all global grid locations simultaneously. In particular, the paper illustrates the method in the estimation and forecast of underlying local levels of carbon dioxide around the globe using the 0.1ox 0.1o grid from the EDGAR database. The results highlight the world distribution of carbon dioxide emission levels and their variations during the historic period recorded in the database as well as their forecasts up to 2025. Global carbon dioxide will reach 53,161 mill tons by 2025, representing an increase of 29.4% from 2018 levels and of more than 52% since 2012. Shanghai, China, is the location leader in carbon dioxide emission levels since 2009; reaching 46.13 mill tons in its surrounding 10 km square region by 2025. China-Korea, North America, India, Europe and Japan, in this order, will be the highest emitting regions in the world by 2025, with Africa-Middle East, due to the oil and gas fields industry, and South America rising fast behind. In fact, most developing countries show a high rate of increase in their carbon dioxide levels during the 2012--2025 period. In comparison, North America and Japan show stable levels while Europe may see its levels actually decrease. However, even within these more developed regions it is of environmental interest to identify high emitting locations at a local level.
本文提出了一种基于频域离散薄板平滑模型的时空扩展估计和预报全球局部辐射水平的方法。所提出的方法可能适用于对同时预测所有全球网格位置的大型地理或空间数据库的时间演变感兴趣的地方。特别地，本文说明了使用EDGAR数据库的0.1 x 0.1网格估计和预测全球潜在的局部二氧化碳水平的方法。结果突出了数据库中记录的二氧化碳排放水平的世界分布及其在历史时期的变化，以及到2025年的预测。到2025年，全球二氧化碳排放量将达到53161万吨，比2018年增加29.4%，比2012年增加52%以上。自2009年以来，中国上海一直是二氧化碳排放水平的领导者;到2025年，周边10平方公里区域达到4613万吨。到2025年，中国、韩国、北美、印度、欧洲和日本将成为世界上排放量最高的地区，非洲-中东地区由于石油和天然气田的发展而迅速上升，南美洲紧随其后。事实上，在2012- 2025年期间，大多数发展中国家的二氧化碳水平都呈现出高增长率。相比之下，北美和日本的水平稳定，而欧洲的水平可能会下降。但是，即使在这些较发达的区域内，确定地方一级的高排放地点也符合环境利益。
{"title":"Forecasting Worldwide Local Carbon Dioxide Levels Using Spectral Techniques and Big Data Sources","authors":"Javier Fernández-Macho","doi":"10.2139/ssrn.3552318","DOIUrl":"https://doi.org/10.2139/ssrn.3552318","url":null,"abstract":"This paper presents a method for the estimation and forecast of worldwide local emission levels based on a space-time extension of a discrete thin-plate smoothing model in the frequency domain. The proposed method can potentially be applied where there is an interest in forecasting the time evolution of large geographical or spatial databases at all global grid locations simultaneously. In particular, the paper illustrates the method in the estimation and forecast of underlying local levels of carbon dioxide around the globe using the 0.1ox 0.1o grid from the EDGAR database. \u0000 \u0000The results highlight the world distribution of carbon dioxide emission levels and their variations during the historic period recorded in the database as well as their forecasts up to 2025. Global carbon dioxide will reach 53,161 mill tons by 2025, representing an increase of 29.4% from 2018 levels and of more than 52% since 2012. Shanghai, China, is the location leader in carbon dioxide emission levels since 2009; reaching 46.13 mill tons in its surrounding 10 km square region by 2025. \u0000 \u0000China-Korea, North America, India, Europe and Japan, in this order, will be the highest emitting regions in the world by 2025, with Africa-Middle East, due to the oil and gas fields industry, and South America rising fast behind. In fact, most developing countries show a high rate of increase in their carbon dioxide levels during the 2012--2025 period. In comparison, North America and Japan show stable levels while Europe may see its levels actually decrease. However, even within these more developed regions it is of environmental interest to identify high emitting locations at a local level.","PeriodicalId":406666,"journal":{"name":"Applied Computing eJournal","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131832918","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}
With virtual purchases being a leading source of revenue for game developers, it is still unclear how players evaluate non-functional goods and the experiences those goods grant. With the use of structural topic models, this work demonstrates the dimensions of players’ experience extracted from discussions in association with price changes. This work contributes to the field by decomposing virtual goods values into experience dimensions in their relationship between extracted experience dimensions and the item’s price, and by a detailed description of expectation mismatch.
{"title":"How People Reflect On The Usage Of Cosmetic Virtual Goods: A Structural Topic Modeling Analysis Of R/Dota2 Discussions","authors":"D. Bulygin, Ilya Musabirov","doi":"10.2139/ssrn.3541602","DOIUrl":"https://doi.org/10.2139/ssrn.3541602","url":null,"abstract":"With virtual purchases being a leading source of revenue for game developers, it is still unclear how players evaluate non-functional goods and the experiences those goods grant. With the use of structural topic models, this work demonstrates the dimensions of players’ experience extracted from discussions in association with price changes. This work contributes to the field by decomposing virtual goods values into experience dimensions in their relationship between extracted experience dimensions and the item’s price, and by a detailed description of expectation mismatch.","PeriodicalId":406666,"journal":{"name":"Applied Computing eJournal","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124910851","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 : 2020-02-01DOI: 10.14569/IJACSA.2020.0110165
Waqas Ahmed, S. M. Hizam, I. Sentosa, H. Akter, Eiad Yafi, Jawad Ali
Smart city is synchronized with digital environment and its transportation system is vitalized with RFID sensors, Internet of Things (IoT) and Artificial Intelligence. However, without user’s behavioral assessment of technology, the ultimate usefulness of smart mobility cannot be achieved. This paper aims to formulate the research framework for prediction of antecedents of smart mobility by using SEM-Neural hybrid approach towards preliminary data analysis. This research undertook smart mobility service adoption in Malaysia as study perspective and applied the Technology Acceptance Model (TAM) as theoretical basis. An extended TAM model was hypothesized with five external factors (digital dexterity, IoT service quality, intrusiveness concerns, social electronic word of mouth and subjective norm). The data was collected through a pilot survey in Klang Valley, Malaysia. Then responses were analyzed for reliability, validity and accuracy of model. Finally, the causal relationship was explained by Structural Equation Modeling (SEM) and Artificial Neural Networking (ANN). The paper will share better understanding of road technology acceptance to all stakeholders to refine, revise and update their policies. The proposed framework will suggest a broader approach to investigate individual-level technology acceptance.
{"title":"Predicting IoT Service Adoption towards Smart Mobility in Malaysia: SEM-Neural Hybrid Pilot Study","authors":"Waqas Ahmed, S. M. Hizam, I. Sentosa, H. Akter, Eiad Yafi, Jawad Ali","doi":"10.14569/IJACSA.2020.0110165","DOIUrl":"https://doi.org/10.14569/IJACSA.2020.0110165","url":null,"abstract":"Smart city is synchronized with digital environment and its transportation system is vitalized with RFID sensors, Internet of Things (IoT) and Artificial Intelligence. However, without user’s behavioral assessment of technology, the ultimate usefulness of smart mobility cannot be achieved. This paper aims to formulate the research framework for prediction of antecedents of smart mobility by using SEM-Neural hybrid approach towards preliminary data analysis. This research undertook smart mobility service adoption in Malaysia as study perspective and applied the Technology Acceptance Model (TAM) as theoretical basis. An extended TAM model was hypothesized with five external factors (digital dexterity, IoT service quality, intrusiveness concerns, social electronic word of mouth and subjective norm). The data was collected through a pilot survey in Klang Valley, Malaysia. Then responses were analyzed for reliability, validity and accuracy of model. Finally, the causal relationship was explained by Structural Equation Modeling (SEM) and Artificial Neural Networking (ANN). The paper will share better understanding of road technology acceptance to all stakeholders to refine, revise and update their policies. The proposed framework will suggest a broader approach to investigate individual-level technology acceptance.","PeriodicalId":406666,"journal":{"name":"Applied Computing eJournal","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121473049","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 : 2020-01-31DOI: 10.21303/2504-5571.2020.001137
P. Hrynko, A. Grinko
It is significant for businesses, especially in the digital economy, the solution of theoretical and methodological justifications and the development of practical recommendations for building an organization's information architecture as a holistic description of its key strategies, related to business, information, application systems and technologies, and also their impact on the functions and business processes of an organization. The article discusses issues, related to methodological approaches to modeling an organization's information architectureб using information management tools to help manage innovation in information systems (IS) and information technologies (IT). The relevance of organizational provisions to determine the way, in which a business entity's business model is functionally integrated with the IS architecture is substantiated. The consideration and analysis of the use of industrial standards for describing the architecture of an organization, adopted by such institutions as the International Organization for Standardization (ISO), The Open Group, Institute of Electrical and Electronics Engineers (IEEE), etc. reveal that none of these standards is dominant and does not provide teams, responsible for the architecture development with all the tools, necessary from the methodological point of view and from the point of view of the templates, used to describe the architecture. Recommendations are given on the theoretical and methodological substantiation and construction of the information architecture of an organization as a complete description of its key strategies related to business, information, application systems and technologies, as well as their impact on the functions and business processes of an organization.
对于企业来说，尤其是在数字经济中，解决理论和方法上的理由，并提出实用的建议，以建立一个组织的信息架构，作为其关键战略的整体描述，与业务、信息、应用系统和技术有关，以及它们对组织的功能和业务流程的影响。本文讨论了与组织信息架构建模的方法方法相关的问题，使用信息管理工具来帮助管理信息系统(IS)和信息技术(IT)中的创新。确定业务实体的业务模型在功能上与is体系结构集成的方式的组织规定的相关性得到了证实。国际标准化组织(ISO)、开放组织(The Open Group)、电气和电子工程师协会(IEEE)等机构所采用的描述组织架构的工业标准的使用情况的考虑和分析表明，这些标准中没有一个是主导的，也没有为负责架构开发的团队提供所有工具。必要的从方法论的角度和模板的角度来看，用来描述体系结构。对组织信息架构的理论和方法论证和构建提出建议，作为对其与业务、信息、应用系统和技术相关的关键战略及其对组织功能和业务流程的影响的完整描述。
{"title":"Methodological Approaches to Modeling Information Architecture of the Organization in the Conditions of Digital Economy","authors":"P. Hrynko, A. Grinko","doi":"10.21303/2504-5571.2020.001137","DOIUrl":"https://doi.org/10.21303/2504-5571.2020.001137","url":null,"abstract":"It is significant for businesses, especially in the digital economy, the solution of theoretical and methodological justifications and the development of practical recommendations for building an organization's information architecture as a holistic description of its key strategies, related to business, information, application systems and technologies, and also their impact on the functions and business processes of an organization.\u0000The article discusses issues, related to methodological approaches to modeling an organization's information architectureб using information management tools to help manage innovation in information systems (IS) and information technologies (IT). The relevance of organizational provisions to determine the way, in which a business entity's business model is functionally integrated with the IS architecture is substantiated. The consideration and analysis of the use of industrial standards for describing the architecture of an organization, adopted by such institutions as the International Organization for Standardization (ISO), The Open Group, Institute of Electrical and Electronics Engineers (IEEE), etc. reveal that none of these standards is dominant and does not provide teams, responsible for the architecture development with all the tools, necessary from the methodological point of view and from the point of view of the templates, used to describe the architecture. Recommendations are given on the theoretical and methodological substantiation and construction of the information architecture of an organization as a complete description of its key strategies related to business, information, application systems and technologies, as well as their impact on the functions and business processes of an organization.","PeriodicalId":406666,"journal":{"name":"Applied Computing eJournal","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117051892","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 : 2020-01-31DOI: 10.5121/ijcnc.2020.12107
Asmaa M. Morsi, T. Barakat, Ahmed Ali Nashaat
In wireless sensor networks (WSNs), there are many factors, such as the reciprocal interference of wireless links, battlefield applications and nodes are exposed to poor physical protection medium. All of these result in the sensor nodes being more exposed to be attacked and compromised. Since sensors are normally energy limited in WSNs, it is constantly basic to conserve the node energy and expand the lifetime of the network. Besides, hierarchical clustering is deemed as one of the numerous ways to deal with the reduction of energy consumption of nodes and increasing the network lifetime in WSNs. This paper conspicuously introduces an efficient and secure malicious node detection model based on a hybrid clustering network for WSNs (ESMCH) which is based on a trusted mobile node. WSNs are still suffering from some attacks like Man-in-the-Middle Attack and Black hole Attack, so by using the ESMCH model, we can avoid these attacks. Finally, simulation results also indicate that the proposed model can increase the network lifetime, and achieve an efficient and secure clustering network.
{"title":"An Efficient and Secure Malicious Node Detection Model for Wireless Sensor Networks","authors":"Asmaa M. Morsi, T. Barakat, Ahmed Ali Nashaat","doi":"10.5121/ijcnc.2020.12107","DOIUrl":"https://doi.org/10.5121/ijcnc.2020.12107","url":null,"abstract":"In wireless sensor networks (WSNs), there are many factors, such as the reciprocal interference of wireless links, battlefield applications and nodes are exposed to poor physical protection medium. All of these result in the sensor nodes being more exposed to be attacked and compromised. Since sensors are normally energy limited in WSNs, it is constantly basic to conserve the node energy and expand the lifetime of the network. Besides, hierarchical clustering is deemed as one of the numerous ways to deal with the reduction of energy consumption of nodes and increasing the network lifetime in WSNs. This paper conspicuously introduces an efficient and secure malicious node detection model based on a hybrid clustering network for WSNs (ESMCH) which is based on a trusted mobile node. WSNs are still suffering from some attacks like Man-in-the-Middle Attack and Black hole Attack, so by using the ESMCH model, we can avoid these attacks. Finally, simulation results also indicate that the proposed model can increase the network lifetime, and achieve an efficient and secure clustering network.","PeriodicalId":406666,"journal":{"name":"Applied Computing eJournal","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122485110","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}
This paper introduces the basic hardware and software components of a programmable logic controller (PLC). It describes the general architecture and basic instruction set common to all PLCs. Basic programming techniques and logic designed are covered. It also describes the operating features of the PLC, the advantages of the PLC over the Hard-wired control systems, practical applications, troubleshooting and maintenance of PLCs. So, in this series we can describe the major components of any PLC, interpret PLC specifications, convert conventional relay logic to a PLC language, operate and program a PLC for a given application, and apply troubleshooting techniques.
{"title":"PLC and Sensors","authors":"Even Talova","doi":"10.2139/ssrn.3669438","DOIUrl":"https://doi.org/10.2139/ssrn.3669438","url":null,"abstract":"This paper introduces the basic hardware and software components of a programmable logic controller (PLC). It describes the general architecture and basic instruction set common to all PLCs. Basic programming techniques and logic designed are covered. It also describes the operating features of the PLC, the advantages of the PLC over the Hard-wired control systems, practical applications, troubleshooting and maintenance of PLCs. So, in this series we can describe the major components of any PLC, interpret PLC specifications, convert conventional relay logic to a PLC language, operate and program a PLC for a given application, and apply troubleshooting techniques.","PeriodicalId":406666,"journal":{"name":"Applied Computing eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129756338","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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