Mechanical Engineering eJournal最新文献

{"title":"Review of Fault Diagnosis System using Soft Computing Approach","authors":"N. Mandaogade, P. Ingole","doi":"10.2139/ssrn.3616690","DOIUrl":"https://doi.org/10.2139/ssrn.3616690","url":null,"abstract":"Detection of a possible failure in a circuit under test is called a fault diagnosis of a circuit. It includes precisely locating the fault location in a CUT and the degree of accuracy of fault detection, known as diagnostic resolution. Higher the diagnostic resolution more reliable products will be available to the end-user. In this paper, a review of a fault diagnosis system, different architecture that is used so far for diagnosis of fault in a circuit is done. The research work is further extended by proposing a novel diagnosis system using a soft computing approach.","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134144358","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":"Estimation of Separation and Location of Wave Emitting Sources: A Comparison Study between Parametric and Non-parametric Methods","authors":"M. Al-Azzo","doi":"10.2139/ssrn.3644965","DOIUrl":"https://doi.org/10.2139/ssrn.3644965","url":null,"abstract":"A mathematical model for localization of acoustical sources with separation between them is derived and presented. A classical ( Fourier transform ) method and a modern ,parametric , ( Burg ) method are used . The results show the capability of Burg method to resolve the adjacent sources when compared with Fourier transform method, as well as the localization of the sources . The performance is studies with varying some parameters relating to the problem.","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126449635","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":"Financial Technology and the Evolving Landscape of Banking and Financial Sector","authors":"A. Quddus","doi":"10.2139/ssrn.3693178","DOIUrl":"https://doi.org/10.2139/ssrn.3693178","url":null,"abstract":"Technology driven financial services transformation is profoundly changing the nature of banking. The developments is various domains such as payments, lending, credit assessments etc., are being driven by the ability to extract and process vast amounts of data and predominantly by firms outside the finance industry. Financial Technology is a rapidly growing industry, with significant investments and research being undertaken. In fact, SSRN reports that FinTech-related research is now the fastest-growing research topic. <br><br>Traditionally banks have neither been the pioneers nor the leaders of driving technological innovations in financial services and products. Incumbents including Banks and other firms in the financial services sector are paying close attention to the Fintech space to not only implement some of the emerging technologies to improve their services but also to determine competitor threats to their ongoing business strategies. Banking executives, including CEOs of major banks, have stated concerns about losing customer share to new FinTech firms and digital disruptors. <br><br>Management executives of the incumbent financial institutions must now assess and evaluate the inadequacies of their current infrastructures, their value proposition to customers, and determine if their firm is equipped to face the fast-changing regulatory and competitive environment. <br><br>The purpose of this paper is to draw the attention of stakeholders in FinTech and Finance domains to the current gaps in banking technology infrastructure, and the urgency warranted to incorporate emerging financial technologies to drive business strategies. <br><br>The analysis in the paper would shed light on the evolving financial sector and the trans-formative financial technologies and provides a brief summary of some of the academic research on FinTech applications in areas such as Lending and Payments services, BigData Analytics on Customer and risk management, and Blockchain applications. <br><br>Considering the increased regulatory scrutiny that banks find themselves post the Royal Commission and the changing industry environment, the report recommends that banks assess their agility to adopt advances in technology to maintain a competitive advantage. The key recommendation of the report is that financial firms develop a firm-wide holistic view of the growing volume of data so that a strong foundation is built upon which technologies such Big Data and Blockchain can be implemented to drive business strategy decisions.","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115382067","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":"Formaldehyde Sensing by Co3O4 Hollow Spheres at Room Temperature","authors":"Yang Cao, Yongguang Tu, Jingyu Qian, Yong Yang","doi":"10.2139/ssrn.3610534","DOIUrl":"https://doi.org/10.2139/ssrn.3610534","url":null,"abstract":": Formaldehyde is a ubiquitous and high toxicity gas. It is an essential task to\u0000efficient detect owing to their toxicity and diffusion. In this work, we studied on the\u0000detection of trace amount of formaldehyde based on hollow Co₃O₄ nanostructure. It is\u0000found that Co₃O₄ hollow spheres with different structures shows distinct sensing\u0000performance towards formaldehyde at room temperature, the response value of\u0000nanosheet modified Co₃O₄ towards 100 ppm formaldehyde will reach 35 in 18 second,\u0000and the nanoparticle modified Co₃O₄ hollow sphere will reach 2.1 in 18 second, 17 in\u0000300 second. The nanosheet modified and nanoparticle modified Co₃O₄ hollow sphere\u0000will reach 4 and 20 in 10 second towards 100 ppm formaldehyde at room temperature.\u0000As room temperature, the sensors do not response towards NH₃, CO, etc. The sensing\u0000mechanism was proposed based on the theoretical and experimental results. The\u0000Co₃O₄ sensor shows that potential utility in CH₂O quick sensing at room temperature","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130286761","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":"Stock Market Predication Using Machine Learning","authors":"Nitish Verma, B. Mohapatra","doi":"10.2139/ssrn.3645875","DOIUrl":"https://doi.org/10.2139/ssrn.3645875","url":null,"abstract":"Accuracy is a key factor in predicting a stock market. In the last decade, investors use the time series method is used to predict stock prices. But it needs improvement because the time series uses large data and time. In a given system, we are using Machine learning to predict stock prices. Machine learning is for enabling machines to learn like humans by collecting, storing, analyzing data, and developing a decision making on its own. Performing a search vector machine in a supervised machine learning algorithm can be done by studying an algorithm and by the statistical model. SVM use from classification as well as a regression problem. Ant it generally uses kernel trick for the transformation of data. It finds a moderate boundary between the possible outcomes. In statics linear regression is a linear approach to modeling the solar response and one or more explainer variables the process is called multiple linear regression for getting accurate output we implement machine learning along with surprised classifying this will be based on linear regression. The result will compare with real data and error will calculate. Linear regression techniques show an accuracy of 82%. Whereas, the proposed method shows an accuracy of 97% in prediction.","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126148527","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":"Forecasting Novel COVID 19 Virus Effect on Indian Population in Terms of Confirmed, Recovered, Death and Active Cases Using a Classical Data Driven Method in R","authors":"A. Bhattacharjee, M. Chakraborty","doi":"10.2139/ssrn.3597479","DOIUrl":"https://doi.org/10.2139/ssrn.3597479","url":null,"abstract":"The government of India has implemented nationwide lockdown on 25th March, 2020 following World Health Organization declaration of the coronavirus disease 2019 (Covid19) as pandemic on 11th March, 2020. The current lockdown has been planned till 17th May, 2020, subject to extension based on the COVID-19 affected population figures. In the present study, we have considered a comprehensive COVID-19 database pertaining to India which encompasses confirmed, recovered, death and active cases in cumulative form, from the first registered case in India on 30th January, 2020 to 4th May, 2020, and have employed Auto Regressive Integrated Moving Average (ARIMA) in the essence of data driven approach followed by validation based on Akaike information criterion (AIC) statistics for model prediction and forecasting the tentative numbers of affected population till 17th May, 2020 and 30 days beyond. The proposed methodology has been developed in R 3.6.3 using R Studio (version 1.2.5033) as Integrated Development Environment. The results obtained are a clear indicative that the current tenure of the lockdown should be extended for a considerable period of time to ensure the safety of the Indian population against the novel COVID-19 virus.","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124789857","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":"AI Based Traffic and Automobile Monitoring System","authors":"Sarika Chaudhary, Pooja Nagpal, Yomesh Devgan","doi":"10.2139/ssrn.3670206","DOIUrl":"https://doi.org/10.2139/ssrn.3670206","url":null,"abstract":"We live in a world where technology is constantly changing and upgrading, so this change gave birth to artificial intelligence (AI). When intelligence is shown by humans it’s called human intelligence, but when machines show such intelligence it’s called artificial intelligence. And by this constant change in technology we have opened doors to some new threats and humans are incapable to measure and predict such dangers. But on the other hand, AI in today’s era has reached such potential that it can be used to monitor and predict many dangers. This paper presents a technique about how we can use artificial intelligence to monitor traffic in highways, roads streets and in many places where we cannot put traffic signals, and how we can monitor activity of each and every individual vehicle to make world safer for humans and other life forms so we can live in harmony and unison.","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114419701","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":"Internet of Things based Integrated Smart Home Automation System","authors":"Uma Pujari, Dr. Prasenjeet Patil, Dr. Nilesh Bahadure, Manvita Asnodkar","doi":"10.2139/ssrn.3645458","DOIUrl":"https://doi.org/10.2139/ssrn.3645458","url":null,"abstract":"Users often need to control and monitor activities inside the home remotely, for elderly parents, children, or pets. This paper presents a multifunctional, low-cost, and flexible system for smart home monitoring and control. The system is based on node-MCU ESP32 with Internet connectivity that allows remote device control. The system transmits sensor data to the Firebase database and can receive commands from the server, allowing automatic control. The android-based mobile app is designed for communication with the Firebase database and updating its values to monitor and control the various home appliances. For the demonstration of the feasibility of the system, various sensors like temperature, humidity, light, LPG (MQ-6), and motion sensors were integrated into a prototype of the home automation system. For the authentication and validation of the proposed system, the performance of the system is studied rigorously and is also evaluated.","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133498340","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":"Towards Auditability Requirements Specification using an Agent-based Approach","authors":"Denis J. S. De Albuquerque","doi":"10.2139/ssrn.3625475","DOIUrl":"https://doi.org/10.2139/ssrn.3625475","url":null,"abstract":"Transparency is an important factor in democratic societies composed of characteristics such as accessibility, usability, informativeness, understandability and auditability. In this research we focus on auditability since it plays an important role for citizens that need to understand and audit public information. Although auditability has been a subject of discussion when designing systems, there is a lack of systematization in its specification. We propose an approach to systematically add auditability requirements specification during the goal-oriented agent-based Tropos methodology. We used the Transparency Softgoal Interdependency Graph that captures the different facets of transparency while considering their operationalization. An empirical evaluation was conducted through the design and implementation of LawDisTrA system that distributes lawsuits among judges in an appellate court. Experiments included the distribution of over 300,000 lawsuits at the Brazilian Superior Labor Court. We theorize that the presented approach for auditability provides adequate techniques to address the cross-organizational nature of transparency.","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124994991","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":"Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study","authors":"H. D. P. Carvalho, Marília Lima, W. Santos, Roberta A. de A. Fagunde","doi":"10.5121/ijsea.2020.11305","DOIUrl":"https://doi.org/10.5121/ijsea.2020.11305","url":null,"abstract":"As demand for computer software continually increases, software scope and complexity become higher than ever. The software industry is in real need of accurate estimates of the project under development. Software development effort estimation is one of the main processes in software project management. However, overestimation and underestimation may cause the software industry loses. This study determines which technique has better effort prediction accuracy and propose combined techniques that could provide better estimates. Eight different ensemble models to estimate effort with Ensemble Models were compared with each other base on the predictive accuracy on the Mean Absolute Residual (MAR) criterion and statistical tests. The results have indicated that the proposed ensemble models, besides delivering high efficiency in contrast to its counterparts, and produces the best responses for software project effort estimation. Therefore, the proposed ensemble models in this study will help the project managers working with development quality software.","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127279153","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}