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：
K. DevipriyaB. Persis Urbana IvyD. Prabha1Assistant Professor
Department of Computer Science and Engineering Sri Krishna College of Engineering and Technology Coimbatore India 2Professor and Head
Department of Computer Science and Engineering Sri Krishna College of Engineering and Technology Coimbatore India 3Associate Professor
Department of Computer Science and Engineering Sri Krishna College of Engineering and Technology Coimbatore India
A mobile ad hoc network (MANET) is an assemblage of nodes composed of mobile devices coupled in various ways wirelessly which do not have any central administration. Each node in MANET cooperates in forwarding packets...
A mobile ad hoc network (MANET) is an assemblage of nodes composed of mobile devices coupled in various ways wirelessly which do not have any central administration. Each node in MANET cooperates in forwarding packets in the network. This type of collaboration incurs high cost but there exits nodes that declines to cooperate leading to selfish conduct of nodes which effects overall network performance. To discover the attacks caused by such nodes, a renowned mechanism using watchdog can be deployed. In infrastructure less network attack detection and reaction and high false positives, false negatives initiating black hole attack becomes major issue in watchdog. This paper put forward a collaborative approach for identifying such attacks in MANET. Through abstract analysis and extensive simulation of this approach, the detection time of misbehaved nodes is reduced and substantial enhancement in overhead and throughput is witnessed.
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：
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.
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.
Due to the increase in the demand of materials with good surface finish and complex shapes, conventional machining processes became out of date. This directed to the increasing demand of non-conventional machining pro...
Due to the increase in the demand of materials with good surface finish and complex shapes, conventional machining processes became out of date. This directed to the increasing demand of non-conventional machining processes. This research work is focuses on the optimization of Surface Roughness (SR) using Wire Electrical Discharge Machining (WEDM) method on Inconel 625 super alloy material. The diffused wire tool electrode (plain and cryo-treated) is used for experimental work. Taguchi's L18 (21*35) orthogonal array's has been used to design for experimental run. The machining parameters selected for optimization are tool electrode, current (Ip), pulse on time (Ton), pulse off time (Toff), wire feed (Wf) and wire tension (Wt). Rectangular slits has been fabricated, which are useful for many industrial application like increase the heat transfer rate of fluids, micro-channels, micro-fins etc. Design of Experiment (DoE) optimization technique is used to find the most significant factor.
作者：
V AthiraJeena ThomasPG Scholar
Department of Computer Science St.Josephs College of Engineering and Technology Palai Kerala India Assistant Professor
Department of Computer Science St.Josephs College of Engineering and Technology Palai Kerala India
We live in the information age and new information is produced in each and every second. The information can be worlds data which is responsible for major technological changes that can bring new ways in decision maki...
We live in the information age and new information is produced in each and every second. The information can be worlds data which is responsible for major technological changes that can bring new ways in decision making. Keeping this data for further analysis and computation is a difficult task. Several studies are done in this arena, making it effective for future figuring. Processing or analysing such huge amount of data is a challenging task. All the existing technologies contain certain bottlenecks and performance overheads, diverse challenges like scalability. Spark is the commonly used data analysis framework. Map Reduce is a computing paradigm and a popular model for distributed data analysis. This paper gives a survey about some enormous information technologies, how it will deal with huge data, and the difficulties in existing advances, and has additionally learned about a portion of the execution bottlenecks and preventive techniques, and the concentration at that point moves to the Resilient Distributed Dataset (RDD), and how it is optimized.
作者：
Ashly Ann JoPrince. V. JosePG Scholar
Department of Computer Science St.Joseph's College of Engineering and Technology Pala India Assistant Professor
Department of Computer Science St.Joseph's College of Engineering and Technology Pala India
Social network analysis has turned into a conspicuous field in link prediction. The precise social network models are additionally address a few downsides. Since the link forecast in Social network analysis confront a...
Social network analysis has turned into a conspicuous field in link prediction. The precise social network models are additionally address a few downsides. Since the link forecast in Social network analysis confront a few threats, for example, the in partially correct rules. An ideal inference mechanism should scale up towards vast scale information. The inference methods uses probabilistic evidence data since it can easily predict the vulnerabilities. There are diverse responses for Social network analysis have suggested over years. In this approach develop a model to predict the nearness of associations among nodes in broad scale casual groups, for example, informal organizations, which are exhibited by Markov Logic Networks (MLNs) and Bayesian Networks. This show gives a successful inference model which can deal with complex conditions and somewhat partially correct rules. The proposed system predicts the accuracy and efficiency of link prediction utilizing MAP Markov Logic induction technique and MPE Bayesian derivation strategy.
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.
作者：
Aswathy ThankachanMr Bino ThomasP G Scholar
Department of Computer Science and Engineering St.Joseph's College of Engineering and Technology Palai Kerala India. Assistant Professor
Department of Computer Science and Engineering St.Joseph's College of Engineering and Technology Palai Kerala India.
DNA sequencing determines the precise order of nucleotides within a DNA molecule. Next generation Sequencing (NGS) is an efficient parallel high throughput DNA Sequencing Technology which revolutionizing the genomic r...
DNA sequencing determines the precise order of nucleotides within a DNA molecule. Next generation Sequencing (NGS) is an efficient parallel high throughput DNA Sequencing Technology which revolutionizing the genomic research. Earlier methods that are quite expensive give rise to different sequence comparison techniques. NGS used for faster detection of variants in human genome and give rise to accelerated response to disease detection like cancer, hepatitis etc. In this paper work flow of data analysis part of NGS are clearly discussed. The different NGS platforms, its applications and different sequencing comparison techniques are also mentioned here.
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