The aim of the application is to create a virtual reality game, whose purpose is to showcase the facilities of SRM University, while doing so in an entertaining manner. The virtual prototype of the institution is depl...
The aim of the application is to create a virtual reality game, whose purpose is to showcase the facilities of SRM University, while doing so in an entertaining manner. The virtual prototype of the institution is deployed in a game engine which eases the students to look over the infrastructure, thereby reducing the resources utilization. Time and money are the resources in concern today. The virtual campus application assists the end user even from a remote location. The virtual world simulates the exact location and hence the effect is created. Thus, it virtually transports the user to the university, with the help of a VR Headset. This is a dynamic application wherein the user can move in any direction. The VR headset provides an interface to get gyro input and this is used to start and stop the movement. Virtual Campus is size efficient and occupies minimal space. It is scalable against mobile gadgets. This gaming application helps the end user to explore the campus, while having fun too. It is a user friendly application that supports users worldwide.
作者：
Jemeema Maria JohnHima Anns RoyP.G Scholar
Department of Computer Science and Engineering St Joseph's College of Engineering and Technology Palai India Assistant Professor
Department of Computer Science and Engineering St Joseph's College of Engineering and Technology Palai India
Houses are the main source of electrical energy consumption. Getting information about energy consumption pattern from smart homes are of vital importance. It helps in analyzing the behaviour of inhabitants and that o...
Houses are the main source of electrical energy consumption. Getting information about energy consumption pattern from smart homes are of vital importance. It helps in analyzing the behaviour of inhabitants and that of the equipments. Smart meters in homes collect large volume of data each day. Data mining techniques can be used to get relevant information from the smart home big data. Data mining helps in easily predicting the consumption patterns of various equipments. Forecasting energy consumption pattern helps in better energy management plans. The techniques that are used for mining and predicting energy consumption patterns are mentioned in this paper.
作者：
Aiswarya BabyAneena Ann AlexanderP.G Scholar
Department of Computer Science and Engineering St Joseph's College of Engineering and TechnologyPalai India Assistant Professor
Department of Computer Science and Engineering St Joseph's College of Engineering and TechnologyPalaiIndia
Pollution is now becoming a biggest problem in today's age. In numerous nations, because of the high number of vehicles that are accessible on the streets, air contamination has progressed toward becoming a diffic...
Pollution is now becoming a biggest problem in today's age. In numerous nations, because of the high number of vehicles that are accessible on the streets, air contamination has progressed toward becoming a difficult issue. This eventually leads to emission of different gases. So there is a need to predict the amount of emission beforehand. There have been various research commitments in the region of anticipating toxins. Artificial intelligence (AI) are often employed where a problem requires estimation or prediction. Most of the methods used are based on neural network, fuzzy logic, hybrid methods and others. This paper discusses findings and limitations of existing contributions in the field of pollution prediction.
作者：
Ravi YadavA. K. Daniel1Research Scholar
Computer Science and Engineering Department Madan Mohan Malaviya University of Technology Gorakhpur India 2Associate Professor
Computer Science and Engineering Department Madan Mohan Malaviya University of Technology Gorakhpur India
Wireless Sensor Network is one of the rapid emerging technology in recent decades. It covers large application area as civilian and military. Wireless Sensor Network primary consists of sensor nodes having low-power, ...
Wireless Sensor Network is one of the rapid emerging technology in recent decades. It covers large application area as civilian and military. Wireless Sensor Network primary consists of sensor nodes having low-power, low cost and multifunctional activities to collaborates and communicates via wireless medium. The deployment of sensor nodes are adhoc in nature, so sensor nodes are auto organize themselves in such a way to communicate with each other. The characteristics make more challenging areas on WSNs. This paper gives overview about characteristics of WSNs, Architecture and Contention Based MAC protocol. The paper present analysis of various protocol based on performance.
作者：
Mirsa KarimSmija DasPG Scholar
Department of Computer Science and Engineering St. Josephs College of Engineering and Technology Pala Kottayam India Assistant professor
Department of Computer Science and Engineering St. Josephs College of Engineering and Technology Pala Kottayam India
These days there is an expansion in review websites. It has turned out to be considerably more intricate to mine fundamental data from survey sites and take proper choice. Using Natural Language Processing, there is n...
These days there is an expansion in review websites. It has turned out to be considerably more intricate to mine fundamental data from survey sites and take proper choice. Using Natural Language Processing, there is need to identify sentiment of content or document. In this paper Sentiment Analysis is done in view of Rule based mechanism and machine learning approach. Both of these strategies are analyzed and discovered that machine learning is most appropriate for Sentiment Analysis in light of the exactness measurement. Sentiment Vader and Senti word net are the Rule based algorithms utilized and LDA analysis on Naive bayes is the machine learning strategy used.
The article deals with the problem of separation of combed heap of winter wheat with an experimental working unit consisting of a segregator and a sieve. In order to expand the range of information on the qualitative ...
The article deals with the problem of separation of combed heap of winter wheat with an experimental working unit consisting of a segregator and a sieve. In order to expand the range of information on the qualitative side of the functioning of the working unit, it is suggested to introduce an additional assessment parameter – the impurity separation efficiency coefficient. Experimental studies of the technological process of the working unit were carried out using the mathematical theory of experimental design, where the response function was represented by the functional dependence of the change in the impurity separation efficiency coefficient on the specific feed of the combed heap, the oscillation frequency of the working unit and the diameter of the sieve openings. To conduct the experimental studies, the Box-Behnken design was selected. Verification of the significance of the obtained coefficients according to Student's t-test showed that all the coefficients were significant. The adequacy of the model was assessed according to Fisher's test. As a result of the calculations, it was established that the model was adequate and could be used for further research.
Energy efficiency has become an increasingly prominent issue in cloud computing. Task consolidation is an effective way to maximise utilisation of cloud computing resources and reduce energy consumption. Presented in ...
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The purpose of this paper was to describe the 3 D nano-scaled surface topography of the aluminum nitride on sapphire. The structures were prepared by magnetron sputtering with heating of the sapphire substrate. The de...
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The purpose of this paper was to describe the 3 D nano-scaled surface topography of the aluminum nitride on sapphire. The structures were prepared by magnetron sputtering with heating of the sapphire substrate. The dependence of the layers topography on the substrate temperature was presented. Surface appearance was studied by atomic force microscopy(AFM). The quantitative topography data from AFM were used for surface characterization by fractal analysis and statistical parameters. The results of fractal analysis show the correlation of fractal dimension and statistical characteristics of surface topography. The data may contribute to manufacture of AlN thin films with desired surface characteristics.
作者：
Smilty ChackoMr. Deepu JobP.G Scholar
Department of Computer Science and Engineering St. Joseph's College of Engineering and Technology Palai Kerala. Assistant Professor
Department of Computer Science and Engineering St. Joseph's College of Engineering and Technology Palai Kerala.
The count of Internet of things (IoT) devices getting connected to internet are exponentially growing and is proposed to be 75 billion by 2025. IoT devices uses Low Power Wide Area Network (LPWAN) that are precisely b...
The count of Internet of things (IoT) devices getting connected to internet are exponentially growing and is proposed to be 75 billion by 2025. IoT devices uses Low Power Wide Area Network (LPWAN) that are precisely build to operate at a lower cost with greater power efficiency and long range connectivity than traditional wireless networks. LPWAN are inherently prone to security threats since they are also wireless communication network. Secure communication is essential for LPWAN and most LPWAN technologies uses simple cryptography methods. Despite of this security mechanisms, LPWAN is vulnerable to wide range of attacks. In this paper Network architecture and Security mechanisms of LPWAN technologies (LoRa, Sigfox, NB-IoT and DASH7) are discussed and are compered in terms of IoT factors. As a case study, vulnerabilities of LoRa is also being analyzed.
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