Pub Date : 2019-06-30DOI: 10.34218/ijcet.10.3.2019.019
A. Upadhyaya, J. S. Shah
{"title":"EFFECT ON AODV ROUTING PROTOCOL UNDER BLACKHOLE ATTACK IN VANET","authors":"A. Upadhyaya, J. S. Shah","doi":"10.34218/ijcet.10.3.2019.019","DOIUrl":"https://doi.org/10.34218/ijcet.10.3.2019.019","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85746413","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 : 2019-06-30DOI: 10.34218/IJCET.10.3.2019.010
Reji K Kollinal, John S. Moolakkattu, V. Paul
{"title":"DIGITAL INDIA - THE GREAT DREAM","authors":"Reji K Kollinal, John S. Moolakkattu, V. Paul","doi":"10.34218/IJCET.10.3.2019.010","DOIUrl":"https://doi.org/10.34218/IJCET.10.3.2019.010","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78711929","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 : 2019-06-30DOI: 10.34218/IJCET.10.3.2019.012
A. K. Kumaresh
{"title":"A STUDY ON REGULARIZATION FUNCTIONS AND REGULATION PARAMETERS IN IMAGE RESTORATION","authors":"A. K. Kumaresh","doi":"10.34218/IJCET.10.3.2019.012","DOIUrl":"https://doi.org/10.34218/IJCET.10.3.2019.012","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74500449","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 : 2019-06-30DOI: 10.34218/IJCET.10.3.2019.014
F. Messaoudi, Adil Korchi, L. Oughdir
{"title":"THE MECHANISMS OF ADAPTING THE PEDAGOGICAL CONTENT TO THE LEARNER'S PROFILE IN A DYNAMIC CEHL ENVIRONMENT","authors":"F. Messaoudi, Adil Korchi, L. Oughdir","doi":"10.34218/IJCET.10.3.2019.014","DOIUrl":"https://doi.org/10.34218/IJCET.10.3.2019.014","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83222155","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 : 2019-06-30DOI: 10.34218/IJCET.10.3.2019.013
K. Palanivel, Chellammal Surianarayanan
Agriculture is the primary source of livelihood which forms the backbone of our country. Current challenges of water shortages, uncontrolled cost due to demand-supply, and weather uncertainty necessitate farmers to be equipped with smart farming. In particular, low yield of crops due to uncertain climatic changes, poor irrigation facilities, reduction in soil fertility and traditional farming techniques need to be addressed. Machine learning is one such technique employed to predict crop yield in agriculture. Various machine learning techniques such as prediction, classification, regression and clustering are utilized to forecast crop yield. Artificial neural networks, support vector machines, linear and logistic regression, decision trees, Naive Bayes are some of the algorithms used to implement prediction. However, the selection of the appropriate algorithm from the pool of available algorithms imposes challenge to the researcher with respect to the chosen crop. In this paper, an investigation has been performed on how various machine learning algorithms are useful in prediction of crop yield. An approach has been proposed for prediction of crop yield using machine learning techniques in big data computing paradigm.
{"title":"AN APPROACH FOR PREDICTION OF CROP YIELD USING MACHINE LEARNING AND BIG DATA TECHNIQUES","authors":"K. Palanivel, Chellammal Surianarayanan","doi":"10.34218/IJCET.10.3.2019.013","DOIUrl":"https://doi.org/10.34218/IJCET.10.3.2019.013","url":null,"abstract":"Agriculture is the primary source of livelihood which forms the backbone of our country. Current challenges of water shortages, uncontrolled cost due to demand-supply, and weather uncertainty necessitate farmers to be equipped with smart farming. In particular, low yield of crops due to uncertain climatic changes, poor irrigation facilities, reduction in soil fertility and traditional farming techniques need to be addressed. Machine learning is one such technique employed to predict crop yield in agriculture. Various machine learning techniques such as prediction, classification, regression and clustering are utilized to forecast crop yield. Artificial neural networks, support vector machines, linear and logistic regression, decision trees, Naive Bayes are some of the algorithms used to implement prediction. However, the selection of the appropriate algorithm from the pool of available algorithms imposes challenge to the researcher with respect to the chosen crop. In this paper, an investigation has been performed on how various machine learning algorithms are useful in prediction of crop yield. An approach has been proposed for prediction of crop yield using machine learning techniques in big data computing paradigm.","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83084520","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 : 2019-06-30DOI: 10.34218/IJCET.10.3.2019.009
K. Wadkar, Prashant Pathak, Nikhil Wagh
{"title":"BREAST CANCER DETECTION USING ANN NETWORK AND PERFORMANCE ANALYSIS WITH SVM","authors":"K. Wadkar, Prashant Pathak, Nikhil Wagh","doi":"10.34218/IJCET.10.3.2019.009","DOIUrl":"https://doi.org/10.34218/IJCET.10.3.2019.009","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90564112","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 : 2019-05-31DOI: 10.34218/IJCET.10.3.2019.007
K. Pandey, Ronak Panchal
{"title":"DATA CAPTURING AND RETRIEVAL FROM WIRELESS SENSOR NETWORKS USING SEMANTIC WEB ","authors":"K. Pandey, Ronak Panchal","doi":"10.34218/IJCET.10.3.2019.007","DOIUrl":"https://doi.org/10.34218/IJCET.10.3.2019.007","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77598019","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 : 2019-05-31DOI: 10.34218/IJCET.10.3.2019.008
Trideep Singha Roy, Soumalya Ghosh, Rimpi Datta, A. Santra
{"title":"IoT BASED HOME AUTOMATION USING RASPBERRY PI","authors":"Trideep Singha Roy, Soumalya Ghosh, Rimpi Datta, A. Santra","doi":"10.34218/IJCET.10.3.2019.008","DOIUrl":"https://doi.org/10.34218/IJCET.10.3.2019.008","url":null,"abstract":"","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75397046","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 : 2019-05-31DOI: 10.34218/IJCET.10.3.2019.006
Abrar Ahmed, N. E. Maruthi, H. T. Basavarajappa
The Archean Green Stone Belts (AGSB) having enormous metalliferous deposits like gold , copper, silver, iron and other precious gem stones which are also called as schist belts of Dharwar Craton. The study area Kempinakote lies in southern most part of Nuggihalli Schist Belt of Hassan district. The schist belt consists commonly two rock types Amphibolites and Ultramafics with their variants. Gold is occurring at or near the amphibolite-ultramafic contact. The Study area comes to Hassan district, Random samples were collected such as Gold bearing Amphibolite schist, Amphibolite, Diorite, Gabbro through GTC (Ground Truth Check). The study carried out by Geological, Petrological, Ore microscopic, SEM-EDX and Hyperspectral signatures using advent high-tech tools of SpectroRadiometer (Spectral Evolution SR-3500) instrument, DARWin SP.V.1.3.0 and GIS software's. The spectral signatures of the collected samples were derived in laboratory environment to achieve better accuracy. Hyperspectral (350-2500nm) were developed as works mainly on physicochemical and optical properties of the litho unit which help in mapping of gold mineralization at lithological contacts and mineralized zones of amphibolites and ultramafic rocks. The final results highlight the gold specks were noticed through ore microscopy and presence of gold is confirmed through SEM-EDX studies and also spectral characters of Gold bearing amphibolites schist and associated rocks for better mapping of Kempinakote area of Hassan district in Precambrian basement rocks and similar terrains of Dharwarcraton.
太古代绿石带(AGSB)拥有大量的金属矿床，如金、铜、银、铁和其他珍贵的宝石，也被称为达瓦尔克拉通的片岩带。研究区Kempinakote位于哈桑地区努格哈里片岩带的最南端。片岩带主要由两种岩石类型组成:角闪岩和超镁铁岩及其变种。金产于角闪岩-超镁铁质接触面或其附近。研究区来到哈桑地区，通过GTC (Ground Truth Check)随机采集了含金角闪岩片岩、角闪岩、闪长岩、辉长岩等样品。利用先进的光谱仪(Spectral Evolution SR-3500)仪器、DARWin SP.V.1.3.0和GIS软件，通过地质、岩石学、矿石显微、SEM-EDX和高光谱特征进行了研究。在实验室环境下获得了样品的光谱特征，以获得更好的准确性。高光谱(350-2500nm)主要研究岩性单元的物理化学和光学性质，有助于在角闪岩和超镁质岩的岩性接触点和成矿带进行金矿化制图。结果表明，通过矿石显微观察发现了金斑，通过SEM-EDX研究确认了含金角闪岩片岩及伴生岩的光谱特征，为更好地在前寒武纪基底岩和达尔瓦克拉通类似地形中对哈山地区Kempinakote区进行填图提供了依据。
{"title":"COMPREHENSIVE STUDY OF HYPERSPECTRL SIGNATURES, PETROGRAPHY AND EDX ANALYSIS ON GOLD BEARING LITHO UNITS OF KEMPINAKOTE, NUGGIHALLI SCHIST BELT, DHARWAR CRATON, KARNATAKA, INDIA","authors":"Abrar Ahmed, N. E. Maruthi, H. T. Basavarajappa","doi":"10.34218/IJCET.10.3.2019.006","DOIUrl":"https://doi.org/10.34218/IJCET.10.3.2019.006","url":null,"abstract":"The Archean Green Stone Belts (AGSB) having enormous metalliferous deposits like gold , copper, silver, iron and other precious gem stones which are also called as schist belts of Dharwar Craton. The study area Kempinakote lies in southern most part of Nuggihalli Schist Belt of Hassan district. The schist belt consists commonly two rock types Amphibolites and Ultramafics with their variants. Gold is occurring at or near the amphibolite-ultramafic contact. The Study area comes to Hassan district, Random samples were collected such as Gold bearing Amphibolite schist, Amphibolite, Diorite, Gabbro through GTC (Ground Truth Check). The study carried out by Geological, Petrological, Ore microscopic, SEM-EDX and Hyperspectral signatures using advent high-tech tools of SpectroRadiometer (Spectral Evolution SR-3500) instrument, DARWin SP.V.1.3.0 and GIS software's. The spectral signatures of the collected samples were derived in laboratory environment to achieve better accuracy. Hyperspectral (350-2500nm) were developed as works mainly on physicochemical and optical properties of the litho unit which help in mapping of gold mineralization at lithological contacts and mineralized zones of amphibolites and ultramafic rocks. The final results highlight the gold specks were noticed through ore microscopy and presence of gold is confirmed through SEM-EDX studies and also spectral characters of Gold bearing amphibolites schist and associated rocks for better mapping of Kempinakote area of Hassan district in Precambrian basement rocks and similar terrains of Dharwarcraton.","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85574423","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：