Asian Journal of Convergence in Technology
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Predict online customer satisfaction level on the basis of e-commerce services and age group
Get PDFThe purpose of study is to develop anunderstanding the how many customer satisfied with theE-commerce services. So there are lots of scopes to ananalyze user's data to find unknown facts of E-commerce.To achieve objective of this paper authors conduct asurvey named Customer Satisfaction level in India. Theycollected a sample of 520 users in one month time durationvia online medium (Google Forms). The major differencebetween online and traditional shopping is that in onlineshopping there is no touch, feel and trust. So the consumergets afraid to pay first before receiving the product. In thispaper authors try to find out relationship between type ofservices and satisfaction level in Indian consumer in Ecommerceservices. The result of experiment shows that Pvalue of customers Ages and Satisfaction level is 0.5817which is significant at 95% confidence and P value ofcustomers Services and Satisfaction level is 0.5988. It tellsthat consumer satisfaction level according to the type ofservices
Energy Efficiency in Wireless Sensor Network Using Green TBS Approach
Get PDFTypically in the wireless sensor network, sensornodes assigned for task execution. The scheduling of theindividual task in wireless sensor network has typically a stronginfluence on the achievable performance. The Number of routingchallenges and design issues like node placement and energyconsumption can affect the routing process in wireless sensornetworks. Therefore this new approach for energy efficiency isintroduced. The concept of power adaptation with sleep andwake-up is merged in this green task based sensing method. Thiswill overcome the challenges like nodes availability,synchronization process, and overall network efficiency and alsowill help to avoid the detailing in classical routing technique. Innetwork simulator ns2, with reference of variations in total no. ofnodes the performance of this method is evaluated. And theresults are obtained on the basis of performance measurementparameters such as Event delivery ratio (EDR), time delay,residual energy (average) and control overhead. The obtainedresults are justified on the basis satisfactory performance of theconsidered system against the energy efficiency constraint
Thermal Behavior of Naturally Ventilated Buildings and their Energy Consumption
Get PDFHuman behavior towards energy consumingdevices is guided by the thermal comfort of the builtenvironment. Many studies have shown that thermal discomfortleads to higher energy consumption of a building. Achievingthermal comfort is a challenging task especially in naturallyventilated buildings. In this paper, field survey of exitingnaturally ventilated buildings was performed to analyze theirthermal behavior as per the adaptive model of thermal comfortby ASHRAE. The key findings hint that measures are required toimprove the thermal comfort of the existing naturally ventilatedbuildings and thereby improving the energy consumption
A Survey of Deep Learning for Sentiment Analysis
Get PDFDeep learning has detonated in the publicresponsiveness, primarily as predictive and analytical productspervade our world, in the form of innumerable humancenteredsmart-world systems, including targetedadvertisements, natural language assistants and interpreters,and mock-up self-driving vehicle systems. In contrast,researchers across disciplines have been including into theirresearch to solve various natural language processing issues. Inthis paper we seek to provide a thorough exploration of Deeplearning and its applications like sentimental analysis andnatural language processing (NLP). Deep learning has an edgeover the traditional machine learning algorithms, like supportvector machine (SVM) and Naïve Bayes, for sentiment analysisbecause of its potential to overcome the challenges faced bysentiment analysis and handle the diversities involved, withoutthe expensive demand for manual feature engineering. Deeplearning models promise one thing - given sufficient amount ofdata and sufficient amount of training time, they can performthe task of sentiment classification on any text class withminimal restrictions and no task-specific or data-specificmanual feature engineering. We hope this survey provides avaluable reference for new Deep learning practitioners, as wellas those seeking to innovate in the application of deep learning
A Survey on Various methods for Stock Prediction using Big Data Analytics
Get PDFthis paper is a survey about various methods inBig Data Analytics implemented to predict future stock trendsor stock price. Initially paper starts with exploring the conceptsof both the Big Dataand Big Data Analytics. The paper surveyed total six differentpapers which consist of different technique to predict stockprice. We survey this paper on the basis Theme, ProposedMethod, Experimentation, Results/Advantage, and Limitation.These papers illustrate different methods to predict futurestock price. The survey concludes with predictive Big DataAnalytics is more suitable technique for stock prediction andalso dataset must be large enough for train and test
Single Line Independent Communication Protocol
Get PDFThis paper proposes a communication protocolfor inter-microcontroller communication using a singleGPIO port. 
Hybrid PVT- A Novel Method For Improvement Of Solar Panel Efficiency
Get PDFAn alternative and cost effective solution to developingintegrated PV system is to use hybrid photovoltaic thermal solarsystem .The temperature of PV modules increases due toabsorbed solar radiation that is not converted into electricity, dueto these increases the heat causing a decrease in their efficiency.In hybrid solar PV/T system the temperature of the of PV modulecan be reduced by using circulating of water through thecollectors at the back side of the PV/T panel. In this paper wepresent the developing a new hybrid PV/T solar system. HybridPV/T system can provide electrical and thermal energy, thusachieving a higher energy conversion rate of the absorbed solarradiation. The main advantage of our combined PV/T solarsystem is to removing of heat from the PV panel, thus thedecrease in temperature and increase in efficiency of system, alsoextend the lifetime of photovoltaic cells due to the removing ofheat from PV part which is used to heat the water in the thermalpart of the panel
Analytical Analysis of Relationship among Modal Parameters of Rigid Flange Coupling
Get PDFAs a structural analysis is not enough for safe, efficient and durable design of coupling. Therefore modal analysis is conducted to analyze effect of material damping, rotational speed, as well as design of coupling in order to resonance. Though modal analysis system mode shape, natural frequency can be predicted. Determination of natural frequency is helpful to operate system at safer external frequencies to occurrence of resonance. The study has been undertaken to investigate the relationship among modal parameters of rigid flange coupling to optimize the design. The effect on modal parameters of rigid flange coupling having fixed support at the two ends is studied by varying the diameter, material and power to the shaft. Analytical analysis has been carried out referring the standard procedure of design and vibration
Process Development and Manufacturing of Tapping Tool using Friction Welding Technique
Get PDFIn today’s scenario, the main weightage of investigation is to reduce the cost of product while upholding its strength and efficiency. To solve problem in this regard manufacturing technologies play an important role. In this project decreasing the cost of cutting tool is considered. The prominence of the project is to reduce the overall cost of cutting tool (tap) while maintaining its properties and strength using the friction welding technique. The design issues for this study area unit stress and deflection. Materials used are H11 chromium hot work tool steel. In the present work tensile strength and hardness testing of produced blank is carried out in UTM and Vickers hardness testing machine. The results obtained from calculations, experimental study in static load condition. In this work an attempt of Cost reduction has been made by using friction welding technique
Anomaly Detection in Surveillance Video Using Pose Estimation
Get PDFAnomalous events are generally infrequent, sparse,and unpredictable. Detection of people and continuously monitoring them and base on the human activity detecting anomaly event is challenging task. In this paper, we focus on keypoints detection of a person. We judge the abnormal behavior of the person by detecting the motion of key-points of that person. In the starting frame we select a bounding box. If some number of key-points are moved out of the bounding box then system gives an alert message