bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Orientation on the Thermal Performances in Vernacular Buildings in Hot Arid Climate
Authors:   Mohammed V University, Rabat, Materials, Energy and Acoustics Team, Morocco., Azhary *Karima El , Ouakarrouch Mohamed ,   Mohammed V University, Rabat, Materials, Energy and Acoustics Team, Morocco., Sosse Jihad Alaoui ,   Mohammed V University, Rabat, Department of Process Engineering, Mohammadia School of Engineers., Laaroussi Najma ,   Mohammed V University, Rabat, Materials, Energy and Acoustics Team, Morocco., Garoum Mohammed ,   Mohammed V University, Rabat, Materials, Energy and Acoustics Team, Morocco.
Published: January 2020

Morocco faces enormous climatic constraints. A large part of the national territory has a hot and dry climate, hence the importance of the climate aspect in the choice of an energy saving strategy. The use of reinterpreted, decontextualized, totally or partially vernacular architectural techniques and/or forms is visible at different levels in the Maghreb countries. The large-scale integration of this aspect seems to be ignored by the designers. The objective of this research is to evaluate the impact of the building orientation and vernacular architecture towards the occupant comfort, in order to meet its energy and comfort needs at a lower cost on one hand, and on the other hand, to design more efficient collective buildings from a thermal and energy point of view. The proposed methodology allows examining the thermal performances of a traditional building under the climatic conditions of the city of Rissani in order to naturally control comfort summer and winter, in addition to ensure a good thermal comfort without using any heating or cooling system. Finally, the simulations carried out lead to the identification of the optimal orientation that demonstrates an effective reduction in indoor temperatures and a decrease in the large daily fluctuations in these temperatures. The research focuses on the influence of the orientation of a building's facades in relation to the solar radiation and on providing the necessary thermal comfort.
Environmental Quality for EIA
Authors:   Department of Civil Engineering, Ambo University, Ambo, Ethiopia., Thanappan Dr. Subash , L Bharath A ,   Department of Hydraulics and Water Resource Engineering, Ambo University, Ambo, Ethiopia., M Aravindhraj ,   Department of Civil Engineering, Ambo University, Ambo, Ethiopia., G Sakthi Ganesh ,   Department of Civil Engineering, Ambo University, Ambo, Ethiopia., L Dumessa Gudissa ,   Department of Civil Engineering, Ambo University, Ambo, Ethiopia.
Published: January 2020

Now a day, Environmental degradation is a global level issue and very serious threat to eco-system. Hence analyzing the environmental quality becomes mandatory to overcome the various types of environmental pollution. Hence, EIA becomes compulsory in almost more than 29 countries to execute any of the proposed activities like the construction of dam structures, mining works, construction and execution of industries etc. Analyzing the existing environmental condition of the proposed study area is very important as a part of EIA. The current study have been conducted for analyzing the air quality at a Industrial City in South India due to the Huge human settlements, the subsequent development of Urbanization through Deforestation, Colonization, Industrialization and Transportation, and in turn, to ascertain the increase in pollution level. The emissions through Area sources were identified and the environmental quality has been determined through a specific technology transfer – Environmental Evaluation System (EES) with the assigned parameter importance units.
Indian Premier League Dataset Analytics using Hadoop-Hive
Authors:   Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, Karkala (Karnataka) India., S. Sapna , S. Sandhya ,   Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, Karkala (Karnataka) India.
Published: January 2020

Big Data is a term used to represent huge volume of both unstructured and structured data which cannot be processed by the traditional data processing techniques. This data is too huge, grows exponentially and doesn't fit into the structure of the traditional database systems. Analyzing Big Data is a very challenging task since it involves the processing of huge amount of data. As the industry or its business grows, the data related to the industries also tend to grow on a larger scale. Prominent data analysis tools are required to analyze the data in order to gain value out of it. Hadoop is a sought-after open source framework that uses MapReduce techniques to store and process huge datasets. However, the programs written using MapReduce techniques are not flexible and also require maintenance. This problem is overcome by making use of HiveQL. In order to execute queries in HiveQL, the platform required is Hive. It is an open-source data warehousing set-up built on Hadoop. HiveQL queries are compiled into MapReduce jobs that are executed utilizing Hadoop. In this paper we have analyzed the Indian Premier League dataset using HiveQL and compared its execution time with that of traditional SQL queries. It was found that the HiveQL provided better performance with larger dataset while SQL performed better with smaller datasets.
Design and Development of Smart Solar Grass Cutter
Authors:   Power Generation Unit, Institute of Power Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Ismail Firas B. , Al-Muhsen Nizar F.O. ,   Technical Instructors Training Institute, Middle Technical University, Al-Za’franiya, Baghdad, Iraq, Fuzi Fazreen A. ,   Power Generation Unit, Institute of Power Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Zukipli A. ,   Power Generation Unit, Institute of Power Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia
Published: January 2020

From the time immemorial, the sun is the major source of energy for life on earth used for heat and lighting. Nowadays, solar energyhas been known as a renewable energy source. It is an alternative energy to that of fossil fuel and it can be collected from the renewable resources such as sun, wind and hydro. This paper introduces a new development of grass cutter, named as Smart Solar Grass Cutter, by usingsolar irradiance as a primary energy source with the presence of a solar panel. This grass cutter prototype is developed to reduce air pollutant and improve the current design specifically the blade position based on the previous studies. With current technology, this new prototype is designed as remotely controlled grass cutter using Arduino UNO. Smartphone is used as the remote controller. After developing an established prototype, the design analysis is carried out to bevalidate with the theoretical values to ensure that the prototype can be safely used. The Smart Solar Grass Cutter can operate more than two hours when the used battery is fully charged. Based upon the results, the Smart Solar Grass Cutteris reliable with high efficiency of the system compared to the previous studies. Therefore, it can be concluded that the prototype is reliable and environmentally friendly.
An Ensemble Classifier based Power Quality Disturbances Classification
Authors:   College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Janahiraman Tiagrajah V. , Bala Prakash ,   College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia
Published: January 2020

Evolution of the current modern era demands a huge and good power quality supply day by day. Power utility suppliers and power exchange specialist organizations face a noteworthy test in recognizing the kind of Power Quality Disturbances (PQD). Our research illustrates the technique of PQD classification by utilizing wavelet signal decomposition and Ensemble classification. A normal wave without disturbance and waves with PQD events of single-type and hybrid-type were generated using MATLAB using the mathematical model as per the definition and parameters outlined by IEEE 1159 and IEC61000 customary. Discrete Wavelet Transform (DWT) is pertained to decompose the signal form the generated PQD to get the illustration in time and frequency domain. In this research work, our database consists of 14000 generated signals of a normal wave and the PQDs, which were divided into 80% for the train set and 20% for the test set for each PQDs. An ensemble methodology for multiclass order was chosen as the classifier of the component vector for the PQD. Examinations were conjointly made with elective sorts of classifiers and different kinds of mother wavelet channel capacities to observe and investigate the exhibition qualification. The outcomes demonstrated that the blend of DWT and Ensemble Classifier delivers an optimal solution to recognize the class of PQD with a precision of 100% for each train and test set.
Fault Detection of a Medium Voltage Cable Joint using Support Vector Machine Algorithm
Authors:   Institute of Power Engineering (IPE), Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Izadi M. ,   Electrical Department, Islamic Azad University, Firoozkooh Branch, Froozkooh, Iran, Askari M. Tolou. ,   Electrical Department, Islamic Azad University, Semnan Branch, Semnan, Iran, Kadir M.Z.A.Ab ,   Advance lightning , power and energy research centre(ALPER), University Putra Malaysia,43100, Malaysia; Institute of Power Engineering (IPE), Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Osman M. ,   Institute of Power Engineering (IPE), Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Hajikhani M. ,   Aryaphase Company,Tehran, Iran
Published: January 2020

Fault detection of the cable joints is one of significant problems in the electrical utilities and industrial companies to increase the network stability as the system interruption can make side effects for both power generation units, renewable energy generation units and other power sources beside of the costumers. In this paper, fault detection of a 20kV XLPE cable joint had been studied using the measured partial discharge (PD) signals and also support vector machine algorithm. In this study, the measured data had been classified based on proposed features as the indices of data classification and they had been used in the classifier algorithm to determine fault based on measured signals and the corresponding obtained features. The results show that the proposed features and applied algorithm could determine the faults in the cable joints with an appropriate range of accuracy. This study could develop the previous studies on a widely used cable joint. This research can be helpful for the electrical utilities to increase network stability.
A Light Weight Solar Powered Mini Quadcopter for Environmental Monitoring
Authors:   Institute of Sustainable Energy, Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Rahman K. S. , Rokonuzzaman Md. ,   Institute of Sustainable Energy, Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Xue G. B. ,   INTEGRA, Faculty of Engineering and Built Environment, The National University of Malaysia, 43600 Bangi, Selangor, Malaysia, Thakur R. I. ,   Institute of Sustainable Energy, Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Kabir K. M. ,   Renewable Energy Laboratory, Chittagong University of Engineering and Technology, Chittagong 4349, Bangladesh, Matin M. A. ,   Renewable Energy Laboratory, Chittagong University of Engineering and Technology, Chittagong 4349, Bangladesh, Tiong S. K. ,   Institute of Sustainable Energy, Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Amin N. ,   Institute of Sustainable Energy, Universiti Tenaga Nasional (@The National Energy University), Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia; INTEGRA, Faculty of Engineering and Built Environment, The National University of Malaysia, 43600 Bangi, Selangor, Malaysia
Published: January 2020

A flying quadcopter equipped with green and environment friendly solar energy is designed and implemented in this study for monitoring purposes. It is capable to operate with light weight small solar panel generated power with designated light weight boost converter integrated in the body of the flying model. A preliminary design of the solar powered quadcopter has been performed by calculating and estimating the maximum lifting weight of flying model, voltage rating of the solar panel, battery voltage rating and its capacity. A charging during operation has been supplemented to the quadcopter to facilitate the operation as well as charging at the same time. In addition, crash protection structure has also been equipped to the design to reduce the impact to the structure during improper landing. With the enhanced ability of providing self-sustaining energy source, the quadcopter is capable to carry out environmental sensing with proper sensor mounted on it.
Solar Tower Power: The Impact of External Receiver on Optimal Performance and Energy Storage
Authors:   College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Shatnawi H. , Lim C. W. ,   College of Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Ismail F. B. ,   Power Generation Unit, Institute of Power Engineering (IPE), Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia.
Published: January 2020

An external receiver was seen as a major component of the Solar Tower Power (STP) plant. This generated stable power from concentrated sunlight. However, the flux distribution on its surface was an issue related to the external receiver that could affect the performance and energy storage in STP. The heat flux increased during long-term use, failure reduction, receiver efficiency and performance. The main advantage of the STP structure was its substantial heat storage capacity which allowed the system to generate stable and continuous electric power. In this study, the researchers reviewed existing literature to investigate the effect of the STP external receiver on the optimum energy storage and performance of the STP; especially regarding the solar flux distribution and efficiency. The researchers aim to improve the external receiver’s optimal performance without affecting the incident heat fluxes. The literature review indicates that ideal receiver conditions lead to solar energy flux distribution optimal performance. Therefore, system optimisation was necessary to satisfy all limitations; like loss occurring due to heliostat field, solar flux flow patterns, external tubular receiver designs, and Heat Transfer Fluid (HTF) selection. These limitations, along with factors affecting these limitations, are reviewed in this study.
Water Absorption Properties of Kenaf/Glass Reinforced Unsaturated Polyester Composites used in Insulator Rods
Authors:   Department of Mechanical Engineering, College of Engineering, Bassam Alaseel , Ansari M.N.M. ,   Institute of Power Engineering, Universiti Tenaga Nasional,, Atiqah A. ,   Institute of Power Engineering, Universiti Tenaga Nasional; UNITEN R&D Sdn. Bhd., Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000Kajang, Selangor, Malaysia., Begum S. ,   Department of Mechanical Engineering, College of Engineering, Nazim A.R.M. ,   Department of Mechanical Engineering, College of Engineering
Published: January 2020

Kenaf fibres have acquired enormous attention in recent years, owing to their economic viability and environmental acceptability. Kenaf (natural) fibres have been started to replace the glass fibre (synthetic) in mechanical, electrical applications and have been utilized in several applications of industrial engineering. The current study deals with water absorption of kenaf/glass fibre reinforced unsaturated polyester composite materials used in high voltage polymeric insulator rods. The kenaf/glass hybrid composites were based on 20%, 30% and 40%(by volume) of kenaf fibers replacement glass fibres with modified 60 vol.% unsaturated polyester resins. The composites were immersedin distilled water at room temperature, and composites resistance to water absorption in terms of the rate of water absorption was determined.A considerable difference in the properties of water absorption of the hybrid composite was found demonstrating that the water absorption effect on the characteristics of insulator rods depends on the arrangement and volume fraction of kenaf fibre of the composite used. Based on the results obtained, a slight effect of water absorption on pure glass fibre composite (control) was observed. The addition of kenaf fibre on glass fibre composite rod increased the water absorption of the composite. It was shown that glass fibres surrounding kena ffibre reduced water absorption. Despite the fact that 40 vol.% of kenaf fibre composite had the highest natural fibre content, it showed the lowest water absorption because of its arrangement on all composite diameters, and also because of being surrounded by glass fibres. All of the materials reached equilibrium and ceased to absorb water after 300 hours.
Decoupled Control of Three Phase Grid Connected Solar PV System
Authors:   Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Khatua Pradeep K. , Ramachandaramurthy Vigna K. ,   Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Yong Jia Ying ,   Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Pasupuleti Jagadeesh ,   Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia
Published: January 2020

A reliable grid connected Photovoltaic (PV) system require effective control schemes for efficient use of solar energy. This paper presents a three-phase grid tied PV system with decoupled real and reactive power control to achieve desired power factor with Maximum Power Point Tracking (MPPT) controller to get maximum solar energy. The synchronous reference frame (dq) control along with decoupling concept is used to control the DC-AC inverter output, while the Phase Locked Loop (PLL) synchronization technique is used to monitor and synchronize the voltage and current at the grid side. The DC-DC converter with Incremental Conductance (InC) based MPPT model is also designed in this paper due to better accuracy compared to Perturb & Observe (P&O) algorithm. The simulation is performed in MATLAB/SIMULINK and a 31.5 kW PV system is modelled to get 30 kW power with the help of MPPT at Standard Test Conditions (STC). Any power factor value between 0.85 lagging to 0.9 leading can be obtained by changingreference q current in this inverter control strategy. The simulation results show that the change of reactive powerdoes not affecttheactive power values of the system, which verifies the effectiveness of the decoupled control strategy of the inverter.
Design of an Elliptical Patch Antenna for RF Energy Harvesting Application in 2.4 GHz Frequency band
Authors:   College of Engineering,Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000Kajang, Selangor, Malaysia, Ferdous N. , Hock Goh Chin ,   College of Engineering,Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000Kajang, Selangor, Malaysia, Hamidah S. ,   College of Engineering,Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000Kajang, Selangor, Malaysia
Published: January 2020

In this paper, the design and prototype of an elliptical patch antenna is presented, which operates at the frequency of 2.4 GHz frequency band. It harvests energy from ‘Radio Frequency’ waves. The elliptical antenna has an antenna substrate made with FR4 board with dielectric constant of 3.95. The paper presents the simulation results of the basic parameters of the antenna such as: return loss, input impedance, bandwidth, gain, directivity and efficiency. The experimental results for return loss, band width and input impedance was also presented in the paper. The antenna has a gain of 5.84 dB, directivity of 6.25 dBi, return loss of -43.35 dB, bandwidth of 373 MHz, input impedance of 50.35 Ω and efficiency of 90%. The high gain, properly matched impedance for minimum return loss and high efficiency of the antenna make it eligible for energy harvesting application.
Life Cycle Cost Estimation of Distribution Transformer Failure from Life Data Exploration
Authors:   Distribution Network Division, Tenaga Nasional Berhad, Jalan Bangsar, 59200Kuala Lumpur, Malaysia, Zaharuddin F.F. , Thayoob Y.H. Md ,   Distribution Network Division, Tenaga Nasional Berhad, Jalan Bangsar, 59200Kuala Lumpur, Malaysia, Verayiah R. ,   College of Graduate Studies, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Ghazali Y.Z. Yang ,   Distribution Network Division, Tenaga Nasional Berhad, Jalan Bangsar, 59200Kuala Lumpur, Malaysia
Published: January 2020

Transformers are major equipment in a power system. Their reliability does not only affect the electric energy availability within a supplied area, but also the economical operation of a utility. Many power utilities in the world including Malaysia have distribution transformers that have been in operations for over 30 years. Aged distribution transformer will have higher risk of unexpected failure which will increase the operational cost. Nevertheless, the occurrence of transformer failure can be predicted based on historical events. In this research work, 2-Parameter Weibull distribution is used to model distribution transformer life data. Life data analysis is conducted based on the statistical model and failure prediction for distribution transformers is analysed. Since frequency of failures as a function of time from life data model varies with different manufacturers and affects the life cycle cost, both life data analysis and net present value concept could be combined to establish an enhanced methodology for life cycle cost estimation of distribution transformer failure. A case study was conducted on sample populations where distribution transformer with similar manufacturer and capacity were grouped together. Results for each transformer group were compared and examined. It was pointed by the results that appropriate modelling and analysis had allowed life cycle cost due to transformer failure to be estimated. Outcomes from the assessment would contribute to transformer life cycle management as one of the factors to consider in the decision making for asset replacement, maintenance and planning.
Smart Tyres: An Environmental-Friendly Solution to Road Accidents
Authors:   Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, 32610 Bandar Seri-Iskandar, Perak, Malaysia, Hou C.Y. , Alhussian H. ,   Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, 32610 Bandar Seri-Iskandar, Perak, Malaysia, Hayder G. ,   Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional (UNITEN), 43000 Kajang, Selangor Darul Ehsan, Malaysia; Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), 43000 Kajang, Selangor Darul Ehsan, Malaysia, Basri S. ,   Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, 32610 Bandar Seri-Iskandar, Perak, Malaysia, Jadid S. ,   Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, 32610 Bandar Seri-Iskandar, Perak, Malaysia
Published: January 2020

The absence of the tyres monitoring system on vehicle has caused difficulty for driver to check the pressure and temperature of the tyres in real time. Besides that, due to the large geographical area of rural area where the distribution of petrol station with air pump might not be equally distributed, certain area is hard to access air pump. The abnormal pressure and increases in temperature on tyre lead to longer braking distance, tyre blowouts and related issues. The paper describes the deployment of IoT sensors for monitoring application in tyres and data is accessible on mobile app. This monitoring system consists of two sensors to measure the temperature and pressure of the tyre using ESP32 microcontroller board and uploaded into the cloud platform using Wi-Fi technology. While Blynk the mobile app is designed to collect the informative data from the cloud platform and the data is represented in graphical representation using open source Cloud platform. It is made available for real-time monitoring data. Apart from that, this system also incorporates alert system to provide a scalable monitoring system as well as alerting the user for any abnormal reading of the tyre.
Performance of V2oIP Application via VANET
Authors:   UniKL MIIT, Kuala Lumpur, Malaysia, Ilias Irma Syarlina Che , Zabidi Nur Aqilah Ahmad ,   UniKL MIIT, Kuala Lumpur, Malaysia
Published: January 2020

In Vehicular ad hoc network (VANET), vehicles are connected and communicated among themselves with different purpose, which move at their relative high speed. Much of the focus surrounding VANET has targeted the framework, model, environment or protocols. Few performance analysis studies have been carry out on V2OIP application at rural and urban area. The present paper set out to study the performance analysis of V2oIP applications between users in different distance and range. The performance are measures on jitter, delay and MOS of the applications; video call, video streaming and video conferencing. Several recommendations are highlighted related to pursue in testing on other rural and urban areas, ISPs, number of users, network monitoring tools or video and voice activities.
PV Fed Seven-Level Inverter using Fuzzy Control Technique
Authors:   Associate Professor, Department of EEE, AMET University, Chennai, Immanuel T.Baldwin , Rathnavel P. ,   Assistant Professor, Department of EEE, Sri Sairam Institute of Technology, Chennai, Rajavelan M. ,   Assistant Professor, Department of Marine Engineering, AMET University, Chennai
Published: January 2020

In recent decades, multi level inverter has been playing important role to lessen the total harmonic distortion in the power electronic converters. The number of switches and and its losses have been the critical factor in multi-level inverters. In this Proposed technique, photo-voltaic based seven level inverter has been proposed to adjust the harmonics in the multi-level inverter. This proposed circuit consists of DC to DC converter and capacitor selection circuit. The number of switches utilized is very less and switching loss also less. A part from simulation study, the hardware proves the advantages of proposed system.
Modified PMSG System using Trans Z Source Network for Grid Connected UPFC System
Authors:   Assistant Professor, EEE Department, Kingston Engineering College, Vellore., Brindha W.R. Thulasi , Immanuel T. Baldwin ,   Associate Professor, EEE Department, AMET University, Chennai.
Published: January 2020

This paper presents a grid connected UPFC system for PMSG wind power network using a Trans Z-source converter. The Trans Z-source converter has a common stage buck boost converter to produce DC voltage from AC input voltage by stabilizing the shoot through state. In the proposed system, the changing in shoot-through state is used to keep trans Z-source voltage regulation with respect to d-q current is capable to take out the more power from the turbine (wind) and fed to grid. The proposed system with UPFC has higherefficiency performanceand cost effectivecompare with conventional Z source PMSG based UPFC system. Matlab simulations are carried out and results prove that proposed system is better.
Implementation of Digital Signature Algorithm using Big Data Sensing Environment
Authors:   Research Scholar, Dr. M.G.R. Educational and Research Institute, Bharathi M.J. , Rajavarman V.N. ,   Professor & Deputy Dean, Dr. M.G.R. Educational and Research Institute, Shobarani R. ,   Professor, Dr. M.G.R. Educational and Research Institute
Published: January 2020

WBAN is a self-governing and perceptive used to informant the activities of a person and to improve the individuality of people, which satisfies the requirements of the user's needs. In this paper, we propose a Big data retrieval unit in WBAN using Elliptical Curve Cryptography. Big data transmit the data through Map reduce and retrieve the data safely using ECCDS algorithm. Map-reduce is a programming method for accessing multiple data sets on multi-node hardware efficiently using a distributed storage process and it incorporate the entire in-between requirements connected via the identical in-among key in . Cloud Sim extensible toolkit is used to enable the modeling and to enhance the application provision.
Experimental Analysis in Cloud Computing for Wireless Sensor Networks
Authors:   Associate Professor, SrideviWomens Engineering College, Computer science & Engineering, Hyderabad, Telangana, India., Avinash Dr.P. , Kavitha M. ,   Associate Professor, SrideviWomens Engineering College, Computer science & Engineering, Hyderabad, Telangana, India., Swamy Dr G ,   Associate Professor, VignanaBharathi Institute of Technology, Hyderabad Telangana, India., Kumar B.Pradeep ,   Assistant Professor, Wellfare Institute of Science technology and Management,Electronics and communication engineering, Visakhapatnam, A.P, India.
Published: January 2020

Wireless sensor network (WSN) Is an obvious improvement for pretty some time. In most actual applications, the giant percentage of information collected the use of sensors are required to be taken care of and be made available for at some thing detail, anyplace get to. Despite the fact that, WSNs are produced from gain obliged devices which nonattendance of capacities to keep large piece of records and carry out resulting getting prepared of the information. WSNs can be advanced with the resource of cloud scenario which gives such agencies. In this way, a Sensor-Cloud shape is expected in this advice planning far flung sensor interface with cloud circumstance. The organized framework is appropriate for adaptable and unavoidable figuring packages attractive net of things (IoT) and intended for use in certifiable programs. Making worldwide places want proportionate social protection motion solutions for serve massive hundreds. This advice includes the problems related to restorative administrations movement that can be tended to using the consolidated framework. It can be used for appealing humans, systems, recuperation administrations courting to build up and transmit prosperity statistics as and at the same time as required if you want to enhance social protection organizations for the not unusual and concrete masses. Within the IoT engaged shape, barely any stressful conditions are perceived for assessment. This speculation weights on issues together with a ways flung sensors and gives unique responses for the ones worrying conditions. WSNs generally chip away at IEEE 802.15.4 elegant the use of selective suggests which incorporates shape and the board capriciousness even as joined with internet. This proposition clothes answer for prepare sensor thoughts-set with cloud situation which is predicated upon internet. Execution of 6LoWPAN based totally totally completely center factors allows ordinary correspondence over the frameworks collectively with internet.
Controlling Analysis of Breast Cancer Under the Application of Data Mining
Authors:   CVR College of Engineering , Hyderabad, Baggam Revathi Lavanya , Raja Dr. P. Vamsi Krishna ,   Research & Development, Professor at Swarnandhra College of Engineering & Technology, Narasapur
Published: January 2020

In the present period, tremendous measure of information is being delivered by numerous sources, for example science, business, prescription, sports, geology, condition and so forth. This produced information is in unstructured, huge estimated and crude arrangement, subsequently very little helpful. Thus, the need emerges for certain systems with which, the valuable information can be separated. Information mining separates the helpful information from huge databases. It manages extraction of understood, already not known and conceivably helpful data from information. It additionally requires programs that recognize regularities and examples in the information. In past years, AI systems have been effectively utilized for a wide scope of genuine application situations. Breast malignant growth is probably the deadliest ailment, is the most well-known everything being equal and is the main source of disease passings in ladies around the world. The arrangement of Breast Cancer information can be helpful to foresee the result of certain illnesses or find the hereditary conduct of tumors. Beginning period treatment serves to curebreast malignant growth as well as help in avoiding its repeat. Information mining calculation can give incredible help with the forecast of beginning time breast malignant growth that consistently has been testing research issue. The proposed research will recognize the best calculation that is utilized to anticipate the repeat of the breast malignant growth and improve the exactness the algorithms.
Work-Life Balance Analysis Score Model
Authors:   Professor, Department CSE, Ramachandra College of Engineering, Eluru, Andhra Pradesh., Prasad Dr. Kalli Srinivasa Nageswara , Saradhi Dr.M.V.Vijaya ,   Professor, Dept. Of CSE, ACE Engineering College, Ghatkesar, Hyderabad, India
Published: January 2020

Most of the companies are finding innovative ways to provide work-life balance to employees. Some of the measures creches for their children, flexible work timings, paternity leaves among others. Some of the companies are looking at technology to provide a better work-life balance. With the increasing need for a more integrated model of analyzing the work-life balance, in this manuscript, a contemporary model of machine learning-based work-life balance score analysis system is proposed, which indicates potential performance over the training and test pattern used for analysis. Though the scope for improving the accuracy of the system exists, still in terms of the pragmatic application of the model, it can be stated that the model is effective and has a scope of implementation over the real-time conditions.
Adaptive Random Testing for Composite Webservices
Authors:   Research Scholar, Computer Science and Engineering, JNTUH, Hyderabad, India, S Sirisha K L , Mohan Dr. M. Chandra ,   Professor, Computer Science and Engineering, JNTUH, India.
Published: January 2020

Utilization of the Internet management in Service Oriented Architecture (SOA) is creating in the remaining lanes are no longer many years.The nature clean administration and procedures is essential to the success of SOA applications and try is both broad affirmation. Today tried the strategy in the SOA web administration will not last inspection technique computerized check results. In this exploration, Adaptive Random Testing for Object Oriented (Artoo) proposed in SOA to improve survival through mechanization we see the results of affirmation. Separation metric imaginable between items in the Adaptive Random Testing (ART) for mechanization try articles set programming. The proposed strategy is classified in the framework of state financial institutions to break up the flow of survival. The proposed approach was investigated as far as locating and deficiencies in handling time. shows the proposed method shows the adequacy deficiency findings and the reaction time is estimated as 3ms.
A Most Efficient Health Care (HC) Based Algorithm for Prevention of Brain Disease Facets in Data Mining Applications
Authors:   Research Scholar, Department of CSE, AcharyaNagarjuna University, Guntur, Andhra Pradesh, India., Purimetla Naga Malleswara Rao , Vemula Dr. Jaya Rama Krishnaiah V. ,   Assoc.Professor, A.S.N. Women's Engineering College, Tenali, Andhra Pradesh, India.
Published: January 2020

Nowadays the use of data mining has been increasing rapidly in many areas like research applications, medical applications, healthcare applications, etc. The data mining applications really providing great applications for all areas due to its huge amount of data related to different types of data which was related to different types of areas in the storage servers, one of the problem with this mining applications is how to get the relevant data from the huge amount of data, many research and development applications are providing different types of solutions to retrieve the data from the mining. Once data was retrieved from the servers the users easily can solve their problems from their homes, for example, online doctor’s information systems. In the olden days when the information technology is not vastly distributed the patient doesn’t know the doctor's availability the success percentage of doctor treatment, how many doctors are available in their city, etc. This manuscript was proposing the algorithm for the healthcare system which is called query facets algorithm, which can fetches data from the server based on the query.
Deep Image Based Iterative Rendering Scheme for Security
Authors:   Professor, Dept of ECE, Sridevi Women’s Engineering College, V.N.Pally, near Wipro.Telangana, India., Mohanram Dr. K. , Singh SardarInderjeet ,   Associate Professor, Dept of ECE,Sridevi Women’s Engineering College, V.N.Pally, near Wipro.Telangana, India.
Published: January 2020

In this paper proposing an implementation of image compression technique for the purpose of security. The proposed system is an algorithm which can provide security as well as compression operations simultaneously. This method is mainly applied on the binary images and gray scale images. The image compression gives a good scan path using least bits. It divides the images into corresponding bit planes. Here a key is obtained using encryption and this provides security for our system in effective way. Hence the proposed system produces effective results compared to other encryption techniques.
Research of Professional of the Classification and Segmentation of Computed Tomography Brain Images
Authors:   Associate professor, Dept. of CSE, Potti Sriramulu Chalavadi MallikarjunaRao College of Engineering and Technology, Vijayawada, A.P, India., Sowjanya V. , Lakshmi Adusumilli Ramana ,   Associate Professor,Prasad V Potluri Siddhartha institute of technology, Vijayawada, A.P, India.
Published: January 2020

Subsequent to the process of classification, the more prevalently used part in most of the applications of image processingand computer vision is the image segmentation. The entire study concerning the Computed Tomography(CT) holds image segmentation as a very essential or even an inevitable part in classifying the different kinds of tumor in the different levels. Once classification of the parts or portions in the images as tumorous and non-tumorous is over, what follows next is the process of segmentation of the tumor regions in the CT images and it is the proposed methodology that takes the entire care of these both, classification and segmentation as well. For the purpose of classifying, the Support Vector Machine (SVM) with various parts and advancement systems is placed into utilization. At the point when it adds up to arrangement and improvement, the SVM with SMO appreciates an unmistakable power over different approachs in the investigation of grouping process. Following the characterization procedure, the MRG with limit advancement satisfies the division procedure. Concerning the edge advancement, certain calculations like HS,EP, Gray WolfOptimization (GWO) and Lion Algorithm (LA) are brought into utilization. The outcomes are shown with the assistance of a wide arrangement of execution measures. The near examination as far as affectability, explicitness and precision is directed in the enhancement procedures mentioned earlier. The implementation of the proposed methodology takes place on the working platform of MATLAB.
An Ontology Based Expert System for Lung Cancer : OBESLC
Authors:   Research Scholar,Krishna University, Machilipatnam,Andhra Pradesh, India., Sirisha J. , Reddy Dr. M. Babu ,   Head(i/c), Department of Computer Science, Krishna University, Machilipatnam, Andhra Pradesh, India
Published: January 2020

Lung Cancer is the second most recurrent cancer in both men and women and which is the leading cause of cancer death worldwide. The American cancer Society (ACS) in US estimates nearly 228,150 new cases of lung cancer and 142,670 deaths from lung cancer for the year 2019. This paper proposes to build an ontology based expert system to diagnose Lung Cancer Disease and to identify the stage of Lung Cancer. Ontology is defined as a specification of conceptualization and describes knowledge about any domain in the form of concepts and relationships among them. It is a framework for representing shareable and reusable knowledge across a domain. The advantage of using ontology for knowledge representation of a particular domain is they are machine readable. We designed a System named OBESLC (Ontology Based Expert System for Lung Cancer) for lung cancer diagnosis, in that to construct an ontology we make use of Ontology Web Language (OWL) and Resource Description Framework (RDF) .The design of this system depends on knowledge about patient’s symptoms and the state of lung nodules to build knowledge base of Lung Cancer Disease. We verified our ontology OBESLC by querying it using SPARQL query language, a popular query language for extracting required information from Semantic web. We validate our ontology by developing reasoning rules using semantic Web Rule Language (SWRL).To provide the user interface, we implemented our approach in java using Jena API and Eclipse Editor.
Heat Treatment of Composites Fabricated by Powder Metallurgy
Authors:   Department of Mechanical Engineering, Ramachandra College of Engineering Eluru 534005 Andhra Pradesh, India, Nagababu B , Raju K.Kranthi Naga ,   Design Engineer at APSSDC DASSAULT Systems, Vijayawada , Andhra Pradesh, India, Pratyush A. ,   Department of Mechanical Engineering, DhanekulaInstitute of Engineering and Technology, Andhra Pradesh, India
Published: January 2020

In recent years Al2024 alloy had increasing applications in all the areas due to its good formability, excellent properties and etc. By using nano size B4C as size and graphite as reinforcements the fabrication process are done by Powder metallurgy process with overall 12 compositions primary and secondary specimens. Nano B4C are used as reinforcements from 3-15% with step of 3% as primary specimen and with addition of graphite of 3% in every reinforcements same manufactured. All specimens are manufactured by powder metallurgy technique and had a wide application. Hardness values are taken and each specimen is subjected to aging process. In aging process are subjected to 495°C and soaking for 2 to 10 hours. The cooling process can done by in three medium water. In each case hardness values are taken with micro Vickers tests. All results are taken shows that increase in hardness with aging process. FESEM analysis is conducted to know the microstructure of composites.
The Scope of e-Learning – A Research
Authors:   Department of Computer Science and Engineering, Ramachandra College of Engineering, Vatluru, Andhra Pradesh, India., Raju Dr. A. Daveedu , Rithanya Sridhar ,   3 Year-B.Tech, Department of Computer Science and Engineering, Ramachandra College of Engineering,Vatluru, Andhra Pradesh, India., Vegesna Gayatri Meghana ,   3 Year-B.Tech, Department of Computer Science and Engineering, Ramachandra College of Engineering,Vatluru, Andhra Pradesh, India., Ivaturi Puja Ankitha ,   3 Year-B.Tech, Department of Computer Science and Engineering, Ramachandra College of Engineering, Vatluru, Andhra Pradesh, India., Gudanti Gayathri ,   3 Year-B.Tech, Department of Computer Science and Engineering, Ramachandra College of Engineering, Vatluru, Andhra Pradesh, India.
Published: January 2020

The need of education is the lead to economic growth. Earlier days many of the perseverance learners looked for the means to learn new things, but only some are succeeded as they put much effort in all means. The scenario now-a-days is entirely different as new technologies and new inventions are twinned a way for better education through digitalisation. This digitalisation paved a way for development of the academic content by e- resources. Many organisations are competing one another to produce the user friendly, widely available e- content either commercially or freely. The proposed paper covers various e- resources and learning sites through tabular form, which carries the number of courses and users enrolled, free or paid etc. It also depicts the different e-learning components visually by pie-charts.
Network Database Security in Wireless Sensor Networks with Intellectual Access of using Outlier Detection Techniques
Authors:   HOD, Dept. of Computer Science, C.S.T.S Govt, Kalasala, Janagreddygudem, W.G. Dist, A.P, India., Rajesh K.Satya , Sai N.Raghavendra ,   Assoc. Prof, Dept. of CS &Engg, KoneruLakshmaiah Education Foundation, Vaddeswaram, AP, India., Nagamani Ch. ,   Research Scholar, Department of Computer Science, AcharyaNagarjuna University, Guntur, A.P, India.
Published: January 2020

In the field of information mining, exceptions are likewise alluded to as outliers, variations from the norm, discordant perceptions, or freaks. Other application spaces may utilize terms like exceptions, amazements, or contaminants. Every one of these wordings is catching a deviation from an expected ordinary information demonstration. In this research work, another system that comprises of an Intelligent Agent Based Access Control subsystem and Intrusion Detection subsystem for securing the Web Database has been proposed and actualized. With a specific end goal to give a viable access control framework, new access control variable based math and new arrangements utilizing rules have been proposed and executed. Keeping in mind the end goal to perform interruption and outlier identification successfully, a half and half Intelligent Agent based Intrusion Detection framework has been proposed in this work which enhances the security of the network database.