-74813b3e17f460286df-178a 20220523081451108 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 11 30 2019 9 2 Research scholar, Acharya Nagarjuna University , Guntur, Andhra Pradesh, India. N. Venkata Ramana Gupta* Dr. Ramesh Makala Associate Professor, RVR & JC College of Engineering, Guntur, Andhra Pradesh, India. Real world problems can be analyzed and solved effectively and efficiently by observing the environment and its phenomenon. We can analyze the nature of the problem by looking for a solution in the environment. The evolution of such systematic handling of the problematic scenario to find an amicable and efficient solution can be applied to real world physical problems. Thus the application of procedures (algorithms) by different species has evolved into a novel idea referred as Nature Inspired Algorithms. It has gained wider publicity and popularity in the present research. One of the most popular nature inspired algorithm which has grabbed the attention of the world is Firefly Algorithm (FA).The Firefly Algorithm has a wide range of applicability in different disciplines. We tried to compare this algorithm along with its variants. We also throw some light on various characteristics of the Firefly Algorithm that makes it a far more efficient algorithm when compared to the rest of such similar algorithms. 12 30 2019 1 7 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4013.129219 https://www.ijitee.org/portfolio-item/b6607129219/ Research Scholar, ECE Department, JNTUK, Kakinda, India. A. Gangadhar* K. Babulu Professor, ECE department, JNTUK, Kakinda, India. In this paper, Carbon Nanotube Field Effect Transistor (CNTFET) based Binary Content Addressable Memory (BCAM) cells are proposed. The adiabatic logic is integrated with the proposed BCAM cells to improve performance. The performance of proposed BCAM cells is presented for various CNTFET parameters such as number of tubes, chirality vector, pitch value, dielectric constant and dielectric materials. It also explores the optimum set of CNTFET parameters for low power and high speed characteristics of the proposed BCAM cells. Simulation results show an improvement in the average power and delay of proposed BCAM cells. The average power of the proposed BCAM cells is in the order of nano watts while the CMOS based BCAM cells is in the order of micro watts. The delay of the proposed BCAM cells is improved by 56.4 %. All simulations are conducted for both CMOS and CNTFET based BCAM cells in HSPICE at 32 nm technology. 12 30 2019 8 15 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4016.129219 https://www.ijitee.org/portfolio-item/A4016119119/ Student M.Tech Structural Engineering Department Of Civil Engineering, Institute Of Aeronautical Engineering, Dundigal, Hyderabad, (Telangana), India. G. Nagamma* N.Venkat Rao Associate professor, Department of Civil Engineering Institute of Aeronautical Engineering (Autonomous), Dundigal, Hyderabad(Telangana), India. Dr. Ram Mohan Rao Papolu Professor and Head Department Civil Engineering Institute of Aeronautical Engineering (Autonomous), Dundigal, Hyderabad, (Telangana), India. Steel strands are concrete fortifying material which in association with cements invigorates extra ductile just as administer concrete with temperature and shrinkage break control improve break opposition of concrete. A test examination will be made on M-30 evaluation of cement with a water bond extent 0.50 to examination the compressive quality, flexural quality, split adaptability of steel fiber reinforced cement (SFRC) containing filaments at the degrees 0%, 1%, 2% and 3% volume region of catch tain Steel strands of 60 perspective extent will be used. the data got will be dismembered and differentiated and the strong model (0% fiber).An association between viewpoint proportion versus Compressive quality, perspective proportion versus Flexural quality, and viewpoint proportion versus Split elasticity will be contemplated. A near report will likewise be made among cement and fiber concrete. 12 30 2019 1214 1217 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A41051.129219 https://www.ijitee.org/portfolio-item/A4105119119/ Reasearch Scholar, Department of Mathematics, VELS Institute of Science, Technology & Advanced Studies, Chennai-600 117, Tamil Nadu, India. G.Jagan Kumar* G. Jayalalitha Professor, Department of Mathematics, VELS Institute of Science, Technology & Advanced Studies, Chennai-600 117, Tamil Nadu, India. In this paper, the contribution of fractals in diagnostic of the diabetic retinopathy is calculated Non-Invasive method. Fractal dimension such as Box-counting Method is calculated for few samples like Normal and Abnormal images. Gaps are formed between the retina vessels its analysis by Lacunarity. When the Lacunarity increases then dimension also increases. Based on Mathematical Model to prediction of incidence causes in for Diabetic Retinopathy. This research shows that effectiveness and cost-effectiveness of Mathematical Models to define the incidence of Diabetic Retinopathy in diabetic communities. From the dimension and models gives the fruitful result in Diabetic Retinopathy and helpful ophthalmologist that can be determined the diagnose of the Eyes. 12 30 2019 3337 3340 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4139.129219 https://www.ijitee.org/portfolio-item/A4139119119/ Associate Professor, Dept. of Electronics & Communication Engineering, S J C Institute of Technology, Chickballapur Nagendra Kumar M* Anand Jatti Associate Professor , Dept. Of electronics and instrumentation engineering, RV College of Engineering,Bengaluru C K Narayanappa Associate Professor, Dept. of Medical Electronics, M S Ramaiah Institute of Technology, Bengaluru Mammography is one of the key method used for detecting the breast cancer, several researcher has proposed the detection and segmentation method, however absolute solution has not developed till now and they have certain limitation and still it is one of the major challenge for finding the region in masses. Hence in this research work we have developed and design a novel method named as DL-CNN (Dual Layered) architecture CNN. The main intention of the model is segmentation and probable region identification. DL-CNN is based on the Convolution Neural Network. It has two layer first layer is applied for identifying the probable region whereas the second layer is used for segmentation and minimizing the false positive Reduction. In order to evaluate the DL-CNN algorithm by using the In Breast Dataset. Moreover the proposed model is compared against the various model in terms of ROI(Region of Interest), Dice_Index and False positive per Image. Result analysis shows that our model outperforms the existing 12 30 2019 16 22 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4172.129219 https://www.ijitee.org/portfolio-item/A4172119119/ Fakulti Teknologi Kejuruteraan Mekanikal Pembuatan, Universiti Teknikal Malaysia Melaka, Malaysia. N H Mokhtar* Mukhtar M F Fakulti Teknologi Kejuruteraan Mekanikal Pembuatan, Universiti Teknikal Malaysia Melaka, Malaysia. Luqman Hamzah Fakulti Teknologi Kejuruteraan Mekanikal Pembuatan, Universiti Teknikal Malaysia Melaka, Malaysia Husni C. Mamat Fakulti Teknologi Kejuruteraan Mekanikal Pembuatan, Universiti Teknikal Malaysia Melaka, Malaysia M M Zamberi Fakulti Teknologi Kejuruteraan Mekanikal Pembuatan, Universiti Teknikal Malaysia Melaka, Malaysia. Motorcycle-related road accidents are the most frequent cause of road traffic injuries reported in Malaysia. One of the key approaches of the Safe System strategy used internationally to address the road casualty reduction goals and targets for interim and long term planning was by improving the vehicle safety system. In this study, feedback regarding the prevention methods that could help reduce the occurrence of motorcycle accidents was obtained from drivers and motorcyclists. In total, five components of safety prevention methods were established and quantitative data were measured from a set of questionnaires distributed all over Malaysia. The questionnaires were designed to understand the public perception on effective methods to address the current road safety issues. Items in the questionnaire were analysed by Structural Equation Modelling using AMOS 25.0 to enable an informed decision based on the data obtained. The primary objectives of this study are to assess the validity and reliability of the measurement model using structural equation modelling based on the public perception of motorcyclists safety prevention methods. In this study, all the measurement models achieved their validity and reliability at the required level. The fitness index based on CR and AVE values were higher than 0.50, thereby indicating that the measurement model achieved the level of acceptance required. In addition, the constructed variables were statistically significant based on the factor loading values that were greater than 0.6 for each construct. 12 30 2019 1388 1393 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4190.129219 https://www.ijitee.org/portfolio-item/A4190119119/ Assistant Professor, Thiru A. Govindasamy Govt Arts College, Tindivanam, Tamilnadu, India. S. Prasanna Priya* Dr. M. Karthikeyan Assistant Professor, Department of Computer and Information Science, Faculty of Science, Annamalai University, Annamalainagar, Tamilnadu, India. Recommendation systems play a crucial role in e-commerce by recommending products that suit for the consumers also providing exact information to users. For the past few decades, researchers used many machine learning techniques on recommender system. In recommender system ML based algorithms providing a better detection of user preferences, item features and users-items. In this way deep learning play an increasingly vital role in review recommender systems, since they used a bunch of discrete values for review. However, a problem arises regarding that feedbacks. Discrete values are those which are hard to describe user’s interests. This problem makes it impossible to specifically model user’s choice for recommendation. Purpose of this paper is to introduce a new novel SNN (Sentiment Neural Network) framework for effective recommendation system. SNN frameworks consider two phases. In first phase of SNN framework, this work introduces NLP techniques for converting unstructured data into structured data. This technique includes pre-processing data, feature extraction, word scoring, polarity classification and sentiment analysis. The second phase of SNN framework used for verifying the polarity classes with the real world examples. SNN structures are not only among the best models with reference to prediction accuracy, they also consider the weighting factor on classifier to reduce the training time. A novel Sentiment Neural Network along with knowledge recommender system is suggested for review features extraction, text classification and analyzing review features in the various domains. 12 30 2019 4297 4304 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4196.129219 https://www.ijitee.org/portfolio-item/A4196119119/ Senior Lecturer (MIS), Daffodil International University, Dhaka, Bangladesh, Samsul Alam* Gouranga Chandra Debnath PhD, Associate Professor, Daffodil International University, Dhaka, Bangladesh Md. Ariful Islam Assistant Professor, University of Dhaka, Dhaka, Bangladesh The Ready-Made Garments (RMG) might have a remarkable contribution to a country’s economy once it possesses an understandable application of technology and innovation in its style attractiveness, healthier aspects of body and its environmental settings. The primary purpose of this study is to explore the relevance of including RMG sector in the Science and Technology Park of Extremadura (PCTEx) in Badajoz province of Spain. For this purpose, a case study based on face to face interview method is followed where primary data was collected through an unstructured open ended questionnaire. The author’s observation in this case is also used. The findings of this qualitative study support that it is relevant to include the sector in this particular zone. It concludes with the statement that PCTEx has the opportunity to include the sector in this area which can ensure greater impact in social and financial gain in this region. The findings also support that if this proposal is implemented and is supervised by the PCTEx authority in Badajoz, with the influence of this non-government association, it will flourish with its superior performance and in turn will contribute to the development of the region by creating employment opportunity for a number of unemployed people especially for women as well as to the country economy as a whole. The availability of low cost human resources especially high tech infrastructure and industry-friendly environment all work behind the motivation of the sector inclusion in this region. 11 30 2019 4464 4471 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4201.129219 https://www.ijitee.org/portfolio-item/A4201119119/ National Research Moscow State University of Civil Engineering, Moscow Bobrov Alexey* Antonov Ivan National Research Moscow State University of Civil Engineering, Moscow. Daniil Kovalevskiy National Research Moscow State University of Civil Engineering, Moscow. Lipatova Ekaterina National Research Moscow State University of Civil Engineering, Moscow. Basik Daniil National Research Moscow State University of Civil Engineering, Moscow. Grigory Ivanov National Research Moscow State University of Civil Engineering, Moscow. Engineering and geodetic examination is a part of the construction and reconstruction in major construction workprojects. Such kind of examination is implemented with the usage of special geodetic equipment or instruments such as  high-precision optical-mechanical: theodolites and levels,  high-precision optoelectronic,  precise and technical optical-mechanical and mechanical,  precise and technical with a digital device. Nowadays it’s more widespread to use navigational equipment of utilitarian purpose, which simplify this processand provides the most accurate engineering and geodetic examining. This article describes an example of how this kind of equipment can be used for engineering and geodetic examinationin order to prepare project documentation for residential buildings 12 30 2019 23 26 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4267.129219 https://www.ijitee.org/portfolio-item/A4267119119/ Arab American University, Jenin, Palestine Wise- Dinf, Department of Computer Science, Vrije Universiteit Brussel, Belgium Ahmed Ewais* Sireen Jaradat Arab American University, Jenin, Palestine Khalid Rabaya Arab American University, Jenin, Palestine Olga De Troyer Wise-Dinf, Department of Computer Science, Vrije Universiteit Brussel, Belgium Learning Chemistry course is considered as a difficult task for many learners especially for elementary school students. This is related to understanding different concepts chemical reactions atoms structures, physical representations of molecules, etc. One way to facilitate the learning process of chemistry course is to use Mobile Learning (m-learning) technology. M-learning has different added values compared to classical learning materials such as text book, pictures, etc. Among the different added values of using mobile in educational contexts is the fact that smartphone has richer interaction techniques. Furthermore, smartphones and tablets PC are considered as more attractive for students. Also, there has been a rapid growth in the mobile technology concerning hardware and software. Accordingly, with the widespread use of smartphones and tablets, researchers start investigating the use of such devices in different educational contexts. The use of mobile learning is considered as a recent trend in Palestinian elementary schools and there is a minimal research attention has been directed to the student’s attitudes and satisfaction in using m-learning in their learning process. Therefore, our work aims at investigating the use of m-learning by students in elementary schools in Palestine. In particular, we focused on female students as in general female students show less interest in science and technology than male students. We were keen to investigate whether the use of m-learning could change this attitude. Therefore, an educational mobile application called ChemApp was developed to help learners to learn different concepts in chemistry course such as elements’ order in the periodic table, electronic distribution, atomic and mass numbers, chemical bonds and formula. By using the ChemApp, the students are able to interact with different components to explore the possible reactions in an interactive interface, to understand the structure and shape of atoms and molecules. The ChemApp was evaluated by a class of 13-14 years old (8th grade) students in a Palestinian primary school. The total number of participants was 30 female students. After analyzing the results, we conclude that these female students had a positive attitude toward the use of m-learning in their learning process of chemistry course. The results of this research work can be considered by policy and decision makers in educational institutions. 12 30 2019 2339 2347 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4361.129219 https://www.ijitee.org/portfolio-item/A4361119119/ PG Scholar, Power System Engineering, SRM Valliammai Engineering College, Kattankulathur, Chennai, India. R. Rajesh* K. Elango (Professor & Head),Department of EEE,SRM Valliammai Engineering College, Kattankulathur, Chennai, India. Congestion management is the technical challenge in a Deregulated environment. powerregion leads to overloading of transmission sector due to high demand of customers. Tosatisfy the demand of power, generation companies produce more power, however transmission line sector are the conventional ones, and they get congested and transmit more power than its capacity. This caused the congestion on transmission sector. FACTS can be capable to mitigate the effect of congestion in heavily loaded lines. This paper examines the outcome of UPFC will changes reactance of transmission and thus controls power flow over that line, leads to decreasing congestion. The efficiency of these FACTS devices are established on modified IEEE14 Bussystems ‘and thePSO techniques use to discover the optimal location of the UPFC 12 30 2019 2280 2285 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4362.129219 https://www.ijitee.org/portfolio-item/A4362119119/ Associate Professor, Department of Computer Science and Engineering, Velammal Institute of Technology, Chennai, India. Dr. E. Sujatha* Dr.S. Soundarrajan Professor, Department of Computer Science and Engineering, Velammal Institute of Technology, Chennai, India. J.Sathiya Jeba Sundar Assistant Professor, Department of Computer Science and Engineering, Velammal Institute of Technology, Chennai, India. G. Indumathi Assistant Professor, Department of Computer Science and Engineering, Velammal Institute of Technology, Chennai, India. This research work aims to create awareness and monitor the breath rate of a neonate using the air flow sensors and to reduce the number of infants’ death. It is designed based on the Arduino which is open-source electronics platform for hardware and software use. This prototype is developed for reliable and efficient baby monitoring system and play as infant care and monitoring system.A cardio respiratory system is used to monitor the infant’s heart rate, rhythm, breathing rate and other relevant and useful medical information using Electro Cardio Graph (ECG) and other IoT (Internet of Things) devices.This research work proved that the respiration monitoring system for infants can be implemented at low cost and also can prevent the respiration failure deaths. 12 30 2019 1296 1299 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4463.129219 https://www.ijitee.org/portfolio-item/A4463119119/ Computer Science and Engineering, St.Joseph’s College Of Engineering, Chennai, India. S. Janani* M. Shalini Computer Science and Engineering, St.Joseph’s College Of Engineering, Chennai, India. K. Parkavi Computer Science and Engineering, St.Joseph’s College Of Engineering, Chennai, India A. Chandrasekar Computer Science and Engineering, St.Joseph’s College Of Engineering, Chennai, India. K Means Clustering (KM) based data hiding algorithm (KM-DH) is to perform cluster operation which means split pixels into chunks from already encrypted image. Under Consideration of splitted pixels find place to allocate information Authenticated person encrypt the image pixels with their key to prepare envelope image then flow goes by grouping the pixels to stuff the already encrypted image of lowest bits to generate place to allocate data using K means Clustering methods with the help of secret key it form split up matrix.In Receiver side after getting the encrypted data they can withdraw data and image separately without overlapping each other using data and image encryption key.At the same time receiver can also get both the image and data without any bug by dimensional link. 12 30 2019 4950 4952 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4524.129219 https://www.ijitee.org/portfolio-item/A4524119119/ CSE, Koneru Lakshmaiah Education Foundation ,Vijaywada, India. Ms.Shabda Dongaonkar* Dr. Nulaka Srinivasu CSE, Koneru Lakshmaiah Education Foundation ,Vijaywada, India. Dr.Alpana Adsul IT, SITS, Narhe,Pune,India. Current years Wireless Sensor networks is a leading area in research due to its number of applications in massive areas .The major concern for Wireless sensor networks is an issue of power of batteries for sensor nodes , several algorithms were transcribed to solve this problem but in so many cases only energy efficiency is considered , coverage problem with energy efficiency is not addressed in most of the cases. To give a better solution for energy efficiency and coverage in this paper modified LEACH protocol is proposed with genetic algorithm, which gives comparatively better results than EBRP protocol. 12 30 2019 4405 4409 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4529.129219 https://www.ijitee.org/portfolio-item/A4529119119/ Assistant Professor, Dept. Of CSE, CMR Institute of Technology, Bangalore, India. Savitha S* Dr. S.C. Lingareddy HOD, Dept. Of CSE, Sri Venkateshwara College of Engineering, Bangalore, India. Dr. Sanjay Chitnis Professor, Dept. Of CSE, Dayananda Sagar University, Bangalore, India. WSN are the group nodes and these nodes are grouped into several clusters, each cluster has its own CH (Cluster Head). Moreover, each cluster Head collects the data and sends either through the corresponding CH or through the CH. Moreover, the clustering plays one of the eminent role in WSN, since Clustering reduces the energy consumption in the cluster Head and improvises the lifetime and scalability of WSN. However, this maximizes the burden on the CH and certainly, it causes the coverage loss. Hence, in this paper we design a model named as EE-NCT (Energy Efficient model for maximizing the network coverage time) which helps in increasing the Network Coverage time for the non-deterministic model, i.e. Sensor nodes location are not known. Non –deterministic model makes hard to maximize, as the node placement is not known. Moreover, this is achieved through monitoring the sensor node location and applying the routing based clustering scheme. Our model is evaluated by considering the various constraint such as first sensor node death, 75% of node death and loss of connectivity by considering the parameter as energy consumption and average number of failed nodes. 12 30 2019 27 32 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4541.129219 https://www.ijitee.org/portfolio-item/A4541119119/ Research Scholar, Computer Science and Engineering, Annamalai University, India. Thendral R* Dr. Sigappi. AN Professor, Computer Science Engineering, Annamalai University, India In computational biology, the protein structure from its amino acid sequence is difficult to predict, which impact the design of drug and molecular biology. Improving the accuracy of predicting acceptable protein structure is the main problem of predicting structure problem. The deep learning method is suitable for high level relation feature from the target protein sequence. Recurrent Neural Network(RNN) handle sequence data in effective manner. Experiment conducted on a well-known standard data set of the RCSB[12] shows that our model is extensively better than the state-of-the-art methods in different statistical measurement. This study makes clear and carry out the deep learning method can increase the protein properties and achieve a Q3 accuracy of 86 percentages . 12 30 2019 3915 3918 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4546.129219 https://www.ijitee.org/portfolio-item/A4546119119/ Department of Physics, Arignar Anna Government Arts College, Villupuram, Tamilnadu, India. P. Hajasharif* K. Ramesh Department of Physics, Annamalai University, Annamalai Nagar, Tamilnadu, India. S. Sivakumar Department of Physics, Annamalai University, Annamalai Nagar, Tamilnadu, India. P. Sivagurunathan Department of Physics, Annamalai University, Annamalai Nagar, Tamilnadu, India. In this paper copper doped lithium ferrite nanoparticles effectively synthesized using sol-gel technique. The synthesized product was analyzed by using TG/DTA, XRD, FT-IR, FE-SEM, HR-TEM, VSM and CV studies. TG/DTA study indicates that the thermal stable of the prepared copper doped lithium ferrite nanoparticles. XRD result confirms that copper doped lithium ferrite nanoparticles have development of cubic phase with Fd3m group and also average crystallite size calculated for different ratios using Scherrer’s formula around 40 nm. FT-IR spectra confirm the presence of absorption band of lower frequency (ν2) at octahedral site and higher frequency (ν1) at tetrahedral site of prepared nanocomposites. The FE-SEM image of CuxLi1-xFe2O4 (x=0.2) nanocomposites clearly specifies that the spherical morphology with agglomerated particles and the same is confirmed by HR-TEM study. The EDAX analysis showed that the existence of Cu, Fe and O elements. VSM study reveals that copper doped lithium ferrite nanoparticles are paramagnetic in nature. Copper doped lithium ferrite nano composites exhibits the higher specific capacitance value at 587 Fg-1 for 10 mVs-1 studied from CV. 12 30 2019 33 37 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4557.129219 https://www.ijitee.org/portfolio-item/A4557119119/ Asst. Prof. &Research Scholar JNTUCEH, Department of Mechanical Engineering, GRIET, Hyderabad, Telangana, India. J.Venkata Suresh* Dr.P. Bhramara Professor, Department of Mechanical Engineering, JNTU College of Engineering, Hyderabad,Telangana, India. CH. Navaneeth M.Tech (Thermal Engineering) Student, Department of Mechanical Engineering, GRIET, Hyderabad, Telangana, India. Pulsating heat pipes are complex devices for heat transfer and their optimal thermal performance depends mainly on different parameters. This work is about the thermal efficiency of a closed-loop oscillating heat pipe with a diameter of 2.0 mm and 3.0 copper tube inner and outer. For all experiments, the filling ratio (FR) was used 40%, 50 %,70%,80% and heat inputs of 20W, 40W, 60W, and 80W was provided to PHP. The position of the PHP was vertical bottom heat type. The length of evaporator, adiabatic and condenser section was maintained 52 mm,170mm,60mm. Water and benzene were selected as working fluids. From the available literature it is observed that working fluid and filling ratio are key factors in PHP's performance. The results show that the thermal resistance decreases rapidly with the increase in the heat input to 20 to 40 W., while it decreases gradually over 40 to 80W.Simulation is done in CFD and experimental data were equated to the results. 12 30 2019 3341 3345 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4641.129219 https://www.ijitee.org/portfolio-item/A4641119119/ Department of Electrical and Electronics Engineering, R.M.K. Engineering College, Kavaraipettai Dr. T. Magesh* Dr. P. Kavitha Department of Electrical and Electronics Engineering, R.M.K. Engineering College, Kavaraipettai Mr. M. Thiayagesan Department of Electrical and Electronics Engineering, R.M.K. Engineering College, Kavaraipettai This paper focuses on modelling of a standalone variable speed wind turbine using MATLAB and increasing its performance by extracting the maximum power below rated wind velocity using MPPT algorithm and maintaining constant power using active pitch angle control for above rated wind velocity. The wind turbine is coupled to a Permanent Magnet Synchronous Generator (PMSG) which can operate on variable speed. A variable resistive load will extract the maximum energy possible and utilise it for heating applications. 12 30 2019 3226 3229 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4645.129219 https://www.ijitee.org/portfolio-item/A4645119119/