Thirunavukarasu Balasubramaniam, Nayak Richi, C. Yuen
{"title":"People to People Recommendation using Coupled Nonnegative Boolean Matrix Factorization","authors":"Thirunavukarasu Balasubramaniam, Nayak Richi, C. Yuen","doi":"10.1109/ICSNS.2018.8573623","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573623","url":null,"abstract":"In the era of Web 3.0, people to people recommendation is important to identify and suggest the potential person who one might be interested to connect with. In most of the cases, the interaction between people generated is very sparse as people usually connect within a fewer circle. Matrix factorization has been successfully employed in generating recommendations of items to users under sparse condition and usually user to user friendship is used as an additional trust information in generating more accurate item recommendations. In this paper we develop a coupled matrix factorization model to accurately generate people to people recommendation by utilizing users' interaction behaviour with items. Our empirical results shows that the proposed model achieves higher quality than the state of the art methods.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125867699","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}
P. Harshani, T. Umamaheswari, R. Tharani, S. Rajalakshmi, J. Dharani
{"title":"Effective Crop Productivity and Nutrient Level Monitoring in Agriculture Soil Using IOT","authors":"P. Harshani, T. Umamaheswari, R. Tharani, S. Rajalakshmi, J. Dharani","doi":"10.1109/ICSNS.2018.8573674","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573674","url":null,"abstract":"In today's world, there is an increase in population growth. Hence there is a need in increase in food production. Fertilizers are being used to increase crop productivity but what is ideal to produce more crop, nutrient level of soil and crop monitoring is more important. Hence we introduce Internet of Things for monitoring the soil parameters including pH level, soil moisture, temperature and humidity. Soil moisture and pH value are the important parameters for crop growth. The soil parameters are detected and monitored using various sensors. Infrared sensors are also used in order to detect disease in plants. The values detected are stored and updated in cloud server for future use. Also an application is developed for farmers in order to know the pH level of nutrients in soil, soil moisture and temperature for efficient productivity of crops.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124890809","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":"Design of a Closed Loop Direct Torque Control for an Induction Motor Drive","authors":"Samarjeet Singh, N. Singh, Md. Aftab Alam","doi":"10.1109/ICSNS.2018.8573643","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573643","url":null,"abstract":"This paper investigates three – phase induction motor dynamics based on direct torque control (DTC). The DTC scheme is less complex because coordinate transform is not required, voltage or current decoupling network is not required and the torque response time is faster than that of vector control. Simulation (using MATLAB/Simulink) has been done to verify the feasibility of this control.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127096860","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":"Big data Analytics Using Support Vector Machine","authors":"P. Amudha, S. Sivakumari","doi":"10.1109/ICSNS.2018.8573641","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573641","url":null,"abstract":"In the healthcare industry large amounts of data has been generated every day for the patient health monitoring. Processing such large volume of data involves high computation overhead. For large scale datasets, MapReduce based storage is used to reduce the computation overhead by storing the data in distributed environment. Big data analytics in healthcare has attracted a great deal of attention when there is an imminent need for turning large volume of records into valuable data. Big data analytics in health care process the input data from large datasets in the Hadoop environment in distributed manner. In this work, the MapReduce based algorithms are used for big data classification. On investigating the algorithm's performance on large diabetic dataset used in this work, the experimental results show that the MapReduce based SVM algorithm is better than other algorithms in terms of accuracy, execution time and error rate.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131603190","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}
A. Karthikeyann, V. Arunachalam, S. Karthik, P. Dhivya
{"title":"Energy Efficient Structure Free and Location Based Routing Protocol in WSN","authors":"A. Karthikeyann, V. Arunachalam, S. Karthik, P. Dhivya","doi":"10.1109/ICSNS.2018.8573682","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573682","url":null,"abstract":"Wireless Sensor Networks are utilized as a part of wellbeing checking, Natural debacles like surge, tremor, thunder storm and so on. Sensor Nodes in WSN made up by little battery control, stockpiling and so on., the fundamental undertaking of sensor organize is handling and solid detected information and exchanging detected information to a base station or sink hub through remote correspondence [1]. This proceeds with control supplies required for base station and sensor hubs has constrained memory and battery reinforcement for viable correspondence is detached. The vitality preservation is a noteworthy test in WSN. In this paper, proposed different procedures for vitality preservation for powerful correspondence [2].","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133742521","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":"Comparative Study of Sustainable Transportation Systems: A futuristic approach","authors":"Anandkumar Balasubramaniam, Anand Paul","doi":"10.1109/ICSNS.2018.8573649","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573649","url":null,"abstract":"Intelligent and Sustainable transportations are the trendy expressions in flow inquiries about on the Internet-of-Vehicles (10V). It is always a challenging factor to maintain sustainability in IoV. Not only pollution-free vehicular systems lead to sustainability, rather a road-safety/traffic-safety or preventing accidents/collisions will also result in sustainability in IoV. A short analysis is made on existing sustainable transportation methods in IoV to provide a suggestion to develop an efficient and sustainable transportation system. This paper ponders different feasible attributes, points of interest, and inconveniences in the current transportation frameworks. Before the end, a reasonable recommendation is accommodated a productive and economical transportation arranging, so ecofriendly condition and street/activity security are kept up, along these lines prompting the supportable transportation.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114867230","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":"Design of Residential Plug-in Electric Vehicle Charging Station with Time of Use Tariff and IoT Technology","authors":"S. Divyapriya, Amutha, R. Vijayakumar","doi":"10.1109/ICSNS.2018.8573637","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573637","url":null,"abstract":"Electric vehicles (EVs) pull in around the globe because it has a benefit of energy saving and environmental protection. High Penetration of Electric Vehicles in the world makes an additional demand on the power system at peak time. To overcome this problem, Smart Charging Station is designed for residential. At peak time the power required to charge Electric Vehicles is effectively handled by Grid connected PV generation and also Electric Vehicles acted as an Uninterrupted Power Supply (UPS) based on Time of Use (TOU) Tariff. All control functions are done by the Raspberry Pi controller. The whole process monitored and controlled by using Internet of Things (IoT). The proposed control system and their control functions are done in MATLAB/SIMULINK.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125853603","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":"Precision Driven Privacy-Preserving Anonymization for Social Data Using Segmentation","authors":"R. Monisha, S. Karthik","doi":"10.1109/ICSNS.2018.8573606","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573606","url":null,"abstract":"Lately, the information is delivered at a strange rate. So our capacity to store information has developed. The information that is been put away can be examined for helpful data. To make inquire about valuable, the information ought to be distributed. The information may contain individual points of interest and delicate characteristics which an individual dislike to distribute. The individual information might be abused for assortment of purposes. Consequently, the Privacy Preserving Data Mining (PPDM) assumes a key part in securing information from divulgence. The information is anonymized and after that distributed. There are numerous systems that assistance in information protection. These systems are from wide regions, for example, information mining, cryptography and data security. In this paper, we propose advanced technique called Slicing with imprecision destined for every determination predicate in protection safeguarding. The incremental information spread technique is utilized, where the dataset is always refreshed with new information.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128820223","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. Regina Lourdhu Suganthi, M. Hanumanthappa, S. Kavitha
{"title":"Event Image Classification using Deep Learning","authors":"S. Regina Lourdhu Suganthi, M. Hanumanthappa, S. Kavitha","doi":"10.1109/ICSNS.2018.8573655","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573655","url":null,"abstract":"Efficient Image data storage and tagged Image Archive are quintessential in organizations due to the growing volume of images that are captured during various events that are conducted in organizations. The multiplicity of information and complexity of image content is proven to be challenging for the computer to understand and interpret an image. To retrieve an image from an image collection, image content should be automatically understood and interpreted by the machine. Automatic classification and annotation schemes using machine learning techniques are generally rigid. A scene in an image is a composition of multiple objects. In such semantic scenario, the feature space will not be mutually exclusive and thus give rise to classification error. Deep learning is an emerging machine learning technique which could be applied for various classification and prediction problems with high accuracy. In this work large event image data set is used to train the classifier for binary classification as indoor or outdoor event image. Image augmentation is used to generate multiple images to reduce bias and improve accuracy. To reduce the False Positive Rate an appropriate model with convolution neural network having multiple hidden layers of dynamic parameters are used. The model has been evaluated using the measures namely, Precision, Recall, and F-Score resulting in 80 to 85 percent accuracy on the test data.","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116866009","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":"Evaluation of Human Age with FKP Using K-NN","authors":"A. Kavipriya, A. Muthukumar","doi":"10.1109/ICSNS.2018.8573612","DOIUrl":"https://doi.org/10.1109/ICSNS.2018.8573612","url":null,"abstract":"Humans have distinctive and unique traits which can be used to distinguish as a form of identification. Biometrics identify people by measuring some aspect of individual anatomy or physiology such as face, fingerprint, iris etc., In this present work age of several persons are trained from FKP impression and results are analyzed with the performance examination based on the matching ratio in the testing phase which include classification of age from K-NN using voronoi representation","PeriodicalId":190872,"journal":{"name":"2018 International Conference on Soft-computing and Network Security (ICSNS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124204923","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}