{"title":"Emerging Smart Grid Communication Technology for Mitigating Power Distribution Network Problems","authors":"A. S. Telang, P. Bedekar, Ashish K. Duchakke","doi":"10.11648/J.MLR.20190401.11","DOIUrl":"https://doi.org/10.11648/J.MLR.20190401.11","url":null,"abstract":"Communication network is an integral part of an intelligent based fully automated smart grid system. It plays an important role in the framework of the transition towards distribution side of the smart grid system. Power theft, Fault detection, Overloading etc. are some of the important issues on the power distribution networks. To address these issues, a novel Arduino based prototype model “Smart Electricity System” has been proposed in this paper. It includes global system for mobile communication (GSM) for its effective implementation on the distribution network. Moreover another novel feature, Advanced Metering Infrastructure (AMI) is added to the proposed model. This is the key technology deployed on the distribution side of the smart grid system. The Uniqueness of the proposed model lies in the detection of power theft, where the information is sent to MSEB directly via interactive model of GSM 800 and APR voice kit, in the fault detection and its isolation by proper coordination between relay and Aurdino and in the overloading warning. Doing so, not only electricity is conserved but also the safety of living beings and protection of electrical appliances can be achieved effectively. Modern controllers with effective sensors are used to achieve all these issues for greater accuracy.","PeriodicalId":75238,"journal":{"name":"Transactions on machine learning research","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84984811","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":"Magneto-hydrodynamics (MHD) Bioconvection Nanofluid Slip Flow over a Stretching Sheet with Thermophoresis, Viscous Dissipation and Brownian Motion","authors":"Falana Ayodeji, Alegbeleye Tope, Olabanji Pele","doi":"10.11648/J.MLR.20190404.12","DOIUrl":"https://doi.org/10.11648/J.MLR.20190404.12","url":null,"abstract":"The bioconvection Magneto-Hydrodynamics (MHD) flow of nanofluid over a stretching sheet with velocity slip and viscous dissipation is studied. The governing nonlinear partial differential equations of the flow are transformed into a system of coupled nonlinear ordinary differential equations using similarity transformation. These coupled ordinary differential equations are solved using fourth order Runge Kutta-Fehlberg integration method along with shooting technique. Solutions showing the effects of pertinent parameters on the velocity temperature, nanoparticles concentration, skin friction, Nusselt number and microorganism density are illustrated graphically and discussed. It is observed that there is enhancement of the motile microorganism density as thermal slip and Eckert number increase but microorganism density slip parameter have the opposite effect on the microorganism density. It is also found that an increase in Lewis number results in reduction of the volume fraction of nanoparticles and concentration boundary-layer thickness. Brownian motion, Nb and Eckert number, Ec decrease both local Nusselt number and local motile microorganism density but increases local Sherwood number. In addition, as the values of radiation parameter R increase, the thermal boundary layer thickness increases. Finally, thermophoresis parameter, Nt decreases both local Sherwood number, local Nuseselt number and local motile microorganism density. Comparisons of the present result with the previously published results show good agreement.","PeriodicalId":75238,"journal":{"name":"Transactions on machine learning research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79909918","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":"Fingerprint Recognition Using Markov Chain and Kernel Smoothing Technique with Generalized Regression Neural Network and Adaptive Resonance Theory with Mapping","authors":"Hemad Heidari Jobaneh","doi":"10.11648/j.mlr.20190401.12","DOIUrl":"https://doi.org/10.11648/j.mlr.20190401.12","url":null,"abstract":"","PeriodicalId":75238,"journal":{"name":"Transactions on machine learning research","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89236472","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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