Call for Papers

Abstract: Potential distribution and Wave function distribution are obtained by solving 2-D Poisson-Schrödinger equation using COMSOL with MATLAB. Conduction band profile and carrier density are investigated. Drain current of Graphene Channel Four Gate Transistor (G4-FET) and Gate-All-Around (GAA) MOSFET are calculated and compared.

Keywords: Four Gate Transistor (G4-FET), Gate-All-Around (GAA), 2-D Poisson-Schrödinger equation, potential distribution, Wave function distribution, Drain current

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Abstract

E-Learning Adoption Based on Technology Adoption Theory in Nigeria

Mohammed Sani Suleiman, Usman Musa Zakari Usman, Muhammad Yahaya

DOI: 10.17148/IJIREEICE.2018.6102

Abstract: Universities and other educational institutions around the world are increasingly using e-learning technology to more efficiently and effectively deliver the education to their students. Successful implementation of e-learning system is determined by the acceptance of such system by students. Therefore, this study was undertaken to explore the factors that influence the intention of students to adopt e-learning of two institutions namely the Federal University Dutsinma (FUDMA) and the Umaru Musa Yar’adua University (UMYU), and the investigation was carried out by using UTAUT model. It was found that performance expectancy, effect expectancy and facilitation conditions are the important factors, that are influencing students’ intention to adopt e-learning, and the results are contributory for the development of a strategy for implementing e-learning system at these universities. It was also found that both, the universities and students are capable of adopting e-learning system.

Keywords: E-learning Systems, University, Literature Review, Adoption, Nigeria, UTAUT, FUDMA

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Abstract

Hybrid Power Generation by Solar & Vertical Axis Wind Turbine: A Review

Anil Tekale, Vaibhav Ware, Vishal Devkar, Ganesh Dungahu

DOI: 10.17148/IJIREEICE.2018.6103

Abstract: Renewable energy sources are seen as next generation source of energy for meeting rising energy demands and depleting fossil fuels. Solar, biomass, geothermal, hydro-electric and wind are the renewable which can produces a huge amount of power. The power from wind current can be extracted using a vertical axis turbine/horizontal axis turbine. Vertical axis turbine is capable of extracting power form wind regardless of the direction of flow. The solar PV cells absorb the radiation of sun and converting it into the electrical power. The wind mill is capable to extracted energy in day and night time while the solar PV cell is capable to get power only during day time. The combination of this hybrid system will be beneficial in future aspects. The objectives of this paper is „Hybrid power generation by using solar cell /solar energy and wind mill energy, with the help of solar tracking and vertical axis wind turbine‟. The VAWT (Vertical Axis Wind Turbine) can tap wind energy from any direction and VAWT are more profitable in nature. That why we have used the VAWT with solar tracking hybrid power generation. The vertical axis turbine has much better self- starting characters and better conversion efficiency at lower flaw speed. In this we are used savonius type vertical axis turbine produce higher torque and have lower cut in speed. This paper deals with the hybrid power generation by using VAWT turbine and solar tracking.

Keywords: Wind energy, Solar Energy, Hybrid Energy system, Converter circuit, Operation and Functioning

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Abstract

Instigating Self Organizing Map with Linear Neurons for Effective Gaussian Clustering

Priyanka.D, Dr.S.Prema

DOI: 10.17148/IJIREEICE.2018.6104

Abstract: The Self-Organizing Map (SOM) is an excellent tool in experimental phase of data mining. It projects input space on models of a low-dimensional regular grid that can be effectively utilized to visualize and explore properties of the data. When the number of SOM units is large, to simplify quantitative analysis of the map and the data, similar units need to be grouped, i.e., clustered. Self-organizing maps are known for its clustering, visualization and classification capabilities. SOM is a popular unsupervised artificial neural network algorithm to produce a low dimensional, discredited representation of the input space of the training samples, called a feature map. Such a map retains standard features of the input data. The Expectation Maximization (EM) algorithm was proposed to calculate the Maximum Likelihood Estimator (MLE) in the occurrence of missing observations. An EM algorithm that yields topology preserving maps of data based on probabilistic mixture models. Compared to other mixture model approaches to self-organizing maps, the function our algorithm maximizes has a clear interpretation; it sums data log-likelihood and a penalty term that enforces self-organization. Finally allows just handling of missing data and learning of mixtures of self-organizing maps. The proposed SOM and EM algorithm is implemented with MATLAB.

Keywords: Self-Organizing Map (SOM), Neural Networks, Feature Map, Clustering, Unsupervised Learning, Mixture Models, EM Algorithm

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Abstract

A Review on Real Time IOT Based advanced E-attendance System

Niharika Yadu, K Uma

DOI: 10.17148/IJIREEICE.2018.6105

Abstract: If we talk about the current scenario of our education system then we found that we have a lot of technologies to use but still we are following the traditional system. If we talk about the attendance system in universities and schools, lecturers did that work manually. Lecturers take the attendance and update it manually in the database. If we combine the fingerprint sensor and RFID sensor with IOT (Internet of Things) than we can do it automatically and there is no need to do it by lecturers. We can use IOT and finger print sensor for better performance. IOT data is directly store on server in real time so we can access it from anywhere and anytime which will provide us with better proficiency and flexibility.

Keywords: Hybrid attendance system, Bio metric solution, Cloud access, restricted access levels, Wireless connectivity

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Abstract

Railway Track Crack Detection Technique

Binisha Chowdhury, Bayan Das, Arnab Ghosh, Chandan Mahato, Ankan Das

DOI: 10.17148/IJIREEICE.2018.6106

Abstract: Indian Railways is the fourth largest railway network in the world. Although there is a tremendous growth in Indian Railways, this system is still plagued by a number of problems which require immediate attention. In this paper we are considering the major problems that lead to accidents. Major problems include obstacles entry on to the track and cracks on the tracks. To overcome this have proposed a testing train which uses ultrasonic sensor with a range of 100cms and delay is 30 cm. Based on the distance between obstacle and the train, the train slows down. When the train is at a distance of 20cm we increase the delay in order to slow down the train and finally when it reaches to a distance of 15cm the train automatically stops. During summer and winter seasons the tracks may expand and contract due to which cracks may occur. The LED and photodiode setup is placed to testing train to detect cracks. Here we are using arduino microcontroller. After crack detection the testing train stops and the longitudinal and latitudinal positions are sent via SMS to GSM and GPS.

Keywords: Arduino microcontroller, Light Emitting Diode(LED), Liquid Crystal Display (LCD), Global System for Mobile (GSM), and Global Positioning System (GPS)

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Abstract

Simulation of SEP Routing Protocol and Compare with USEP

Surendra Verma, Dr. R. K. Paliwal, Dr. K. C. Mahajan

DOI: 10.17148/IJIREEICE.2018.6107

Abstract: A typical Wireless Sensor Networks is a multi-hop wireless network, is composed of large number of sensor devices. In case of routing protocols the wireless sensor network requirements are very specific, and it is the outcome of distributed nature and dynamic topology. There are many energy efficient algorithms which have been proposed in recent past. We may classify this algorithm on the basis of Reliable Routing, Network topology, Communication model and Network structure. We have analyzed and compared the performances of SEP and LEACH multiple routing protocols with our USEP on the basis of network lifetime and throughput.

Keywords: WSN, BS, SEP, USEP

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Abstract

Solutions for Voltage Sags During Distributed Generation Anti – Islanding Protection

Mr. Aneesh KG, Prof. K L Sreekumar

DOI: 10.17148/IJIREEICE.2018.6108

Abstract: In this paper, solutions to the problem of voltage sags caused by distributed generators anti-islanding protection are proposed. In a system with both substation and Distributed Generator (DG) supplying in parallel to a load, during any temporary fault condition, the DG will be disconnected from system by anti –islanding protection. After the reclose operation, the whole power has to come from the substation since the DG is no longer present and due to this there is voltage sag at the load end. This problem can seriously affect power quality indices as well as distributed generators reconnection procedure. In this context, this work investigates several potential solutions to be adopted by the utility or the DG owners and presents a thorough evaluation of their main advantages and disadvantages. The presented studies and procedures will guide the utility engineers in the making decision process associated to the choice of reasonable mitigation techniques to this problem. Solutions are simulated using ETAP 12.0 tool and HIL typhoon SCADA software. Certain solutions are simulated by developing a hardware prototype. The results obtained were compared and analysed for the better understanding of the stated solutions.

Keywords: Anti-islanding, Reclosing operation, Voltage sag

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Abstract

Video Enhancement using Non Subsampled Contourlet Transform and bilateral Filtering Techniques

Harshal B Deshmukh, Prof. Vinod.D .Shinde

DOI: 10.17148/IJIREEICE.2018.6109

Abstract: This paper introduces a new approach for video super resolution problem. To this end Compressive Sensing (CS) theory along with Non subsampled Contourlet transform has been used. In CS framework the signal is assumed to be sparse in a transform domain. An approach has been suggested using this fact in which Contourlet domain is used as the transform domain and a CS algorithm helps to find the high resolution frame. A post processing step is applied afterward to the estimated outputs to increase the quality. The post processing step consists of a de-blurring using bilateral filter for increasing the consistency. This method helps to relax the conditions on hardware and increase the quality of the video after capturing, in fact the quality of the video streams in consumer applications can be increased even the capturing device represents the scene in a low resolution format. Experimental results show significant improvement over existing super resolution methods in both objective and subjective quality.

Keywords: Frame separation, Bi-lateral filter, Non-Subsampled Contourlet Transform (CT), Bicubic Interpolation, Adaptive filter, Reconstruction.

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Abstract

Performance Analysis of Dual Axis Solar Tracker

Aratrika Chakraborty, Prashant Sharma, Joyati Chattopadhyay

DOI: 10.17148/IJIREEICE.2018.61010

Abstract: Solar tracking systems have been demonstrated to increase the efficiency of standard PhotoVoltaic (PV) energy generation systems by researchers in the recent past. The current paper deals with the design, implementation and testing of a scaled-down dual-axis solar tracking PV system. The system performance is evaluated in terms of the data obtained by testing the prototype and a basic trend analysis of the data obtained is also carried out. This analysis helps in evaluating the performance of the system throughout a day.

Keywords: PV, Solar Tracker, Dual-Axis, Performance, Analysis

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