bluuebunny/crossref_metadata_2025 huggingface dataset:
Sharing, Adaptation and Organization of Open Educational Resources: Exploring the Teachers’ Attitude of Sukhothai Thamathirat Open University, Thailand
Authors:   Assistant Professor- School of Computer Science & IT, Uttarakhand Open University, India, Pande Dr. Jeetendra , Singh Dr. Alka ,   Assistant Professor, Central Institute of Educational Technology, National Council for Educational Research and Training, Sri Aurobindo Marg, New Delhi-110096, India., Intaratat Dr. Kamolrat ,   Associate Professor- School of Communication Arts, Sukhothai Thammathirat Open University, Thailand., Mythili G. ,   Deputy Director- Staff Training and Research Institute of Distance Education, Indira Gandhi National Open University, Maidan Garhi, New Delhi, India.
Published: November 2019

The Open Educational Resource(OER) is based on culture of sharing and learning, encouraging the teachers to adopt existing OER, adapt and share with others to keep up the cycle of collaboration and continuous improvement. Understanding teachers’ attitude towards the use of OER and comparing data across institutions may help to recognize the issues that impact OER take-up. The major objectives of the paper is to study the teacher’s attitude towards OER at Sukhothai Thamathirat Open University(STOU), Thailand. The teachers’ attitude towards OER scale with a five-point scale from strongly disagree to strongly agree was used in this study. Based on the scale, adaptation & use of OER and sharing of OER can be identified. The questionnaire was distributed to the faculty of STOU. There were 32 respondents of STOU considered for analysis. Data captured through online form.The data have been analyzed quantitatively by implying statistical measures. The frequency measures were used to present the demographic as well as other data along with chi-square test. The analysis was done in SPSS. Teachers of Thailand are encouraged to share OER for their professional enhancement and personal satisfaction. It is interesting to find that majority of them are motivated to share and contribute to OER for dissemination of ideas in a knowledge society.
The Mixed Logic Style based Low Power and High Speed 3-2 Compressor for ASIC designs at 32nm Technology
Authors:   Instrument Technology, Andhra University, Visakhapatnam, India., Kommu Chaitanya , Rani Dr. A daisy ,   Instrument Technology, Andhra University, Visakhapatnam, India.
Published: November 2019

Compressors are the fundamental building blocks to construct Data Processing arithmetic units. A novel 3-2 Compressor is presented in this paper which is designed by Mixed logic design style. In addition to small size transistors and reduced transistor activity compared to conventional CMOS (Complementary Metal Oxide Semiconductor) gates, it provides the priority between the High logic and Low logic for the computation of the output. Various logic topologies are used to design the 3-2 compressor like High-Skew(Hi-Skew), Low-Skew(Li-Skew), TGL (Transmission Gate Logic) and DVL (Dual value Logic). This new approach gives the better operating speed, low power consumption compared to conventional logic design by reducing the transistors activity, improving the driving capability and reduced input capacitance with skew gates. Especially the Mixed logic style-3 provides 92.39% average power consumption and Propagation Delay of 99.59% at 0.8v. The H-SPICE simulation tool is used for construction and evaluation of compressor logic at different voltages. 32nm model file is used for MOS transistors
Free & Open Source Software (FOSS) in Website Designing
Authors:   Department of IT, ABES Engineering College, Ghaziabad, India., Sinha Amit , Niranjan Dharmesh Kumar ,   Department of CSE, Vishveshwarya Group of Institutions, Gr. Noida, India., Singh Alka ,   Department of IT, Noida Institute of Engineering & Technology. Gr. Noida, India.
Published: November 2019

People want website to be fast, user-friendly, secure & free to use. Web sites have become a critical part of business, and the tools to create and deploy Web sites are becoming more flexible and easier to use. This paper talks about the role of FOSS in Website Designing. FOSS proves to be a boon for website developers in the way that they are secure, robust and free to use & modify. The open source tools available in the market facilitate the tool -box of a website developer. The use of FOSS increases the productivity, provide a secure Environment & also save a website developer of getting screwed under the copyright act. This paper talks about the technologies which FOSS world currently offers to the website developers and also the revolution which is awaiting to flourish the market. It also incorporates a study of the recent developments & the way market is becoming more dependent on FOSS. For example, PHP is the basic element of the most famous social networking website today, the Facebook. Also, GMAIL is entirely based on the open source language, Python.
A Fuzzy Logic Based Controller for the Bidirectional Converter in an Electric Vehicle
Authors:   Saveetha School of Engineering, SIMTS, Chennai, India,, Narayana R. Lakshmi , Mahesh G Sreeramulu ,   Sree Vidyanikethan Engineering College, A.Rangempet, Tirupati, India, Cheepiti Kumar Reddy ,   Sree Vidyanikethan Engineering College, A.Rangempet, Tirupati, India, Yuvaraj T. ,   Saveetha School of Engineering, SIMTS, Chennai, India,
Published: November 2019

Many technologies are focusing on the Electric Vehicles to grow in a big way to reduce the oil consumption and the carbon emmissions levels across all over the world in the near future. However there are many hindrance factors like the price of Li-ion batteries, charging infrastructure and charging methods are affecting the growth of EV’s. Understanding these issues, a two stage basic converter popularly known as Bidirectional DC-DC converter is proposed for Grid-2-Vehicle, Vehicle-2-Grid, Vehicle-2-Home applications and leads to the efficient Energy Management Systems. The Bidirectional Converter uses an independent control using Fuzzy logic controller at each mode of power conversion stage. By using this unique feature, the Electrical Vehicle battery able to work in charging mode and discharging mode efficiently. In addition, this converter uses less number of components, with good operating efficiencies and most economical. The entire system has been developed using MATLAB-Simulink software.
Optimal Extraction Methods Selection for Kakosa South Copper Ore Deposit Applying Modified Technique for Order of Preference by Similarity to Idea Solution Model
Authors:   Lecturer and Assistant Dean Department of Mining Engineering and a holder of M.Sc. and B.Eng. Diploma in Education University of Zambia., Kangwa Sam , Mutambo Dr. Victor ,   Scientific Research Department of Mining Engineering and a holder of M.Sc. and B.Eng. Diploma in Education University of Zambia.
Published: November 2019

Kakosa South copper deposit is located about 450km northwest of Lusaka between Chingola and Chililabombwe. A comprehensive study of Kakosa South deposit was carried out. In Kakosa area the footwall aquifer rocks comprising sandstone and conglomerates which are thin and as such are not expected to represent major aquifers. Copper mineralisation is found in the upper quartzite and ore-shale. The inclination of the deposit ranges from 250 up to 350. The hangingwall formations above the upper quartzite are represented by a sequence of dolomite and shale formations. Based on Kakosa geotechnical analysis and rock mass classification, fuzzy TOPSIS approach was employed for the selection of optimal extraction techniques. FTOPSIS approach has precise and specific quantities which are used in order to establish criteria and option weights. Triangular fuzzy numbers were determined to represent semantic variables. The fuzzy numbers for Kakosa South parameters were used as input data in the decision making model and matched against the criteria required for the mining method. Applying FDM model, extraction techniques were ranked. The results indicated that open pit extraction technique was ranked first with 78.90 scores followed by sublevel stoping with 66.88 scores. It is concluded that the Kakosa South copper ore deposit can optimally be extracted by open pit mining up to transition depth and transit from open pit mining to underground mining employing sublevel stoping.
Detection of Water Stress in Khasi Mandarin Orange Plants from Volatile Organic Compound Emission Profile Implementing Electronic Nose
Authors:   Instrumentation & USIC, Gauhati University, Gauhati- 781014, Assam, India., Choudhury* Rajdeep , Hazarika Sudipta ,   Instrumentation & USIC, Gauhati University, Gauhati- 781014, Assam, India., Sarma Utpal ,   Instrumentation & USIC, Gauhati University, Gauhati- 781014, Assam, India.
Published: November 2019

Plants in the absence of an innate immune system like animals and being immobile are regularly exposed to a host of stresses, ranging from biotic to abiotic stresses. In response to these, plants have developed a complicated response system like reprogramming gene expressions and emission of secondary metabolites as volatile organic compounds (VOCs) by its various tissues like roots, stems, leaves etc. These VOCs can be used as biomarkers for inspecting plants’ in situ health status. This paper address the usefulness of electronic nose (e-nose) system to sense the VOCs emitted by plants’ leaves to detect the stresses in it. Standard commercial electronic nose (e-nose) system Alfa Mos Fox 3000 has been used here to identify the stressed and non-stressed plants. Fifteen Mandarin orange plants were considered for the study and were subdivided into three categories. Each one was subjected to a different level of water stress. Leaf samples were collected for e-nose analyses from each plant of all three categories on the 15th day and 30th day of induction of water stresses. Dimensionality reduction techniques like kernel Principal Component Analysis (kPCA), Linear Discriminant Analysis (LDA) and classification algorithms like Support Vector Machines (SVC) and Multi-Layer Perceptron Classifier (MLPC) have been used to classify the three categories of plants. The scores obtained from these analyses reveals the feasibility of using an e nose system in discriminating plants based on the status of water stress in them. This paper analyses the applicability of e nose system in stress diagnosis of agricultural and horticultural crops, which would significantly help in controlling the irrigation regime.
Factor Scoring and Machine Learning algorithm to Predict Student Counselling
Authors:   Computer science and Engineering, Daffodil International University, Dhaka, Bangladesh., Jahan* Nusrat , Islam Saiful ,   Computer science and Engineering, Daffodil International University, Dhaka, Bangladesh., Sultana Rezwana ,   Computer science and Engineering, Daffodil International University, Dhaka, Bangladesh.
Published: November 2019

Personal realization is one of the best things for a successful life. Sometimes, one needs help to realize about bad habits, career goals and accomplish mental health as well as to overcome other problems. This help is generally known as “Counselling”. To ensure effectiveness of counselling service, prime concern is to find out the target group of instances. Many researchers worked with student performance prediction based on academic attributes moreover students’ counselling is also needed to increase their performance. We addressed this issue for this paper work. Here, a model is proposed to predict a student who needs counselling. This study was mainly motivated by two main steps. The first was to investigate university students who feels an urge about having counselling for psychological help from their circumstances and second was to predict efficiently which group of students really needs counselling. This paper work was established with 498 instances and each comprised of 6 attributes. In the case of evaluate the result, paper shows superiority over state- of-the-art methods to predict student counselling through machine learning and factor scoring method. We applied 10 fold cross-validation and 66% dataset splits evaluation method to find out better algorithm among selected 5 algorithms which are Ibk, Naive Bayes, Multilayer, SMO and Random Forest. Weka 3.8.0 have been used for machine learning algorithms where Ibk (Instance Based Learning) was found best for our approach with 95.38% accuracy.
MCDM Optimization of Parameters for Wire-EDM Machined Stainless Steel using Hybrid RSM-TOPSIS, Genetic Algorithm and Simulated Annealing
Authors:   Department of Mechanical Engineering, Government College of Engineering Kalahandi, Bhawanipatna, Odisha, India., Bagal* Dilip Kumar , Barua Abhishek ,   Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, India., Jeet Siddharth ,   Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, India., Satapathy Pratyashi ,   Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, India., Patnaik Dulu ,   Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, India.
Published: November 2019

In this investigation, the influence of WEDM process constraints on tool wear rate, kerf width, surface roughness of SS 304 grade stainless steel was studied. Fifteen experimental runs were carried out based on Box-Behnken method of Response surface methodology and TOPSIS method was used for finding an optimum parameter setting. From the ANOVA results, pulse ON time was found as most significant factor for tool wear rate, kerf width and surface roughness. Genetic Algorithm and Simulated Annealing was also used for the calculation of the optimum setting along with the forecast of fitness values. It was found that every optimization technique gives similar factor setting.
Flow through Double Layered Porous Media Perpendicular to Bedding Plane: An Experimental & Simulation Work
Authors:   Department of Civil Engineering, Aligarh Muslim University, Aligarh, India., Gupta* Priyank , Alam Javed ,   Department of Civil Engineering, Aligarh Muslim University, Aligarh, India., Muzzammil Mohd. ,   Department of Civil Engineering, Aligarh Muslim University, Aligarh, India.
Published: November 2019

Permeability (k) is an essential property of soil and has its importance in various fields of soil mechanics and geotechnical engineering. It is the ease with which water can percolate through the interconnected voids in a soil mass. To determine the permeability of soil samples, experimentation work needs to be carried out. The permeability analysis of layered soil samples, i.e., double-layered or triple-layered soil samples, much more time is consumed to achieve accurate results. So, to bypass this time consumption and laborious physical work, Computational Fluid Dynamics (CFD) analysis proves to be beneficial. ANSYS Fluent 14 software is a powerful tool which works on CFD technique seems to provide accurate results for permeability analysis as compared to laboratory results. In the present study, CFD analysis of double-layered soil samples is carried out using ANSYS Fluent 14 software, and the results obtained by this technique are compared with the laboratory results. Experimental as well as a numerical study was carried out to determine permeability and pressure drop variation for double layer combinations developed using the five soil types namely gravel (G), coarse sand (CS), fine sand (FS), fly ash (FA) and silt (S), and a formulation was proposed to calculate viscous resistance factor experimentally which was validated through simulation results. The permeable soil layer was modeled as porous media obeying Forchheimer's law.
Multi Response Optimization of Process Parameters in Drilling Operation for Jute and Basalt Fabric Composite Material
Authors:   Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, India., Rani Dr. M. Indira , Ramesh Ajmeera ,   Department of Mechanical Engineering, CMR Technical Campus, JNTUH College of Engineering Hyderabad, India., Ramu K. ,   Department of Mechanical Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India., Srinivasulu Dr. N.V. ,   Department of Mechanical Engineering, Chaitanya Bharathi institute of Technology, Hyderabad, India
Published: November 2019

Natural fabric Reinforced polymer (NFRP) composites are the materials by a matrix and a reinforcement of natural fibre. NFRPs are the materials with low density, high molding flexibility, environmentally friendly and have wide range of applications extending from products of commodity to aerospace, defence, automobile spare parts, and bicycle frames applications. In this work the effect of cutting parameters in drilling Natural fabric reinforced composites were studied. Experiments were conducted to study the effect of drill bit diameter, spindle speed and feed rate on Material Removal Rate (MRR), Surface Roughness, Circularity of Hole and Delamination Factor. Theoretical calculations are done to calculate Material Removal Rate and Delamination Factor. Surface Roughness and Circularity of Hole measured by Surface Roughness Tester and Coordinate Measuring Machine (CMM) respectively. The input parameters considered were 6mm, 8mm and 10mm diameter drill bits, spindle speeds of 600rpm, 1200rpm & 1800rpm, feed rates of 0.1rev/min, 0.2rev/min and 0.3rev/min. Experiments were carried as per Taguchi Experimental Design (L9) to get the optimum values of MRR, Surface Roughness, And Circularity Of Hole and Delamination Factor. Optimization was done using Taguchi Analysis, Grey Taguchi Analysis and Multi Attribute Decision Making (MADM) Method. The optimal solution for the multiple response system of drilling of NFRP were diameter of drill bit of 10 mm, Spindle speed 600 rpm and at 0.3 mm/rev feed rate. MADM process concluded that, Circularity of Hole was most preferred response than followed by Material Removal Rate, Surface Roughness and Delamination Factor.
Measuring Attitudinal Learning Outcomes in Electronics and Communication Engineering Experimental Instructions
Authors:   Research Scholar, Engineering Education, National Institute of Technical Teachers‟ Training and Research, Taramani, Chennai, India., Murali* Asha , Sambanthan Dr T G Gnana ,   Professor (Retd.), National Institute of Technical Teachers‟ Training and Research, Taramani, Chennai, India.
Published: November 2019

In traditional time bound linear teaching practices, learning outcomes are difficult to measure from the actual learning happened, as autonomous learning is not explicitly considered. Research studies and documents available on the practice of Outcome Based Education and the subsequent design and development of Learning Outcomes for measuring core competencies along with skills and attitudes of learners, which specifically concentrating on the Laboratory experimental courses in Electronics and Communication engineering is very rare. This paper attempts to make an experimental study on a selected set of experiments, to draw conclusions on the effectiveness of measuring learning outcomes that actually encourage students for autonomous learning. Demography and the subjects considered for the experimental studies are presented along with statistical outputs. The results are encouraging and would throw more light for further research in this area. Besides, the results will be highly useful to the generic area of engineering education. Validation of the results is done by social survey method, which includes statistical analysis. The experimental students are however limited to Indian conditions (and the current practices followed) of engineering education.
Effects of Solar Irradiance on Load Sharing of Integrated Photovoltaic System with IEEE Standard Bus Network
Authors:   Department of Electronics & Communication Engineering, Galgotias University, India, Shaw* Rabindra Nath , Basu Debayan ,   Development Consultant Private Limited, India, Walde Pratima ,   Department of Electronics & Communication Engineering, Galgotias University, India, Ghosh Ankush ,   School of Engineering and Applied Science, The Neotia University, India.
Published: November 2019

This paper attempts to highlight the effect of change in load and irradiance on Photovoltaic integrated Power system network. The Power system network considered here is IEEE 14 bus system. The simulation is done on MATLAB platform and variation of Voltage, Power and Total Harmonic Distortion (THD) has been studied. The results indicates that how power quality of the power system is affected by the irradiance on Photovoltaic cell. The study is performed considering the other environmental factors such as wind velocity, ambient temperature and humidity have a negligible effect on the photovoltaic module. In a steady-state controlled environment, the simulation results show that the output voltage, current and its power decrease with time as the irradiance on the photovoltaic panel decreases.
Imperceptible Steganography Scheme with High Payload Capacity using Genetic Algorithm and Particle Swarm Optimization
Authors:   Research Scholor Dept. of E&TC, G. H. Raisoni College of Engineering and Management, Assistant Professor Dr. D. Y. Patil School of Engineering, Savitribai Phule Pune University, Pune 412207, India., Shah* Pratik D. , Bichkar Rajankumar S. ,   Principal, Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, Savitribai Phule Pune University, Pune, India.
Published: November 2019

Security is the most significant parameter in all type of confidential data transfers. Steganography is used to enhance the security of such confidential communications. Steganography is a method of covert communication in which the existence of secrecy is concealed. In image steganography, achieving high data embedding capacity and simultaneously retaining good visual quality is a very tricky and difficult objective. In this paper, a reversible, secure, extremely imperceptible and high payload capacity steganography technique in the spatial domain is proposed. The proposed method employs evolutionary computation techniques to identify the most optimum locations and arrangements for secret data embedding. The proposed technique uses Particle Swarm Optimization to find the best possible order of data hiding whereas Genetic algorithm is used to identify the best possible arrangements to modify secret data to produce least amount of change in cover-image. The result of the proposed scheme is compared with many steganography techniques and the proposed scheme outperforms the existing schemes in terms of imperceptibility. The proposed technique produces an average PSNR value of 46.40 dB at 2 bit per pixel data embedding rate.
Design and Analysis of GFRP-Al Composite Material for the Replacement of LPG Cylinder
Authors:   Assistant Professor, Department of Production Engineering, Sri Sai Ram Engineering College, Chennai., Velmurugan V. , Tamilarasan U. ,   Professor, Department of Production Engineering, Sri Sai Ram Engineering College, Chennai., kumar V.Linkesh ,   Student, Department of Production Engineering, Sri Sai Ram Engineering College, Chennai.
Published: November 2019

Composites are being used as an effective alternate replacement of various traditional metals and alloys. They possess very high mechanical properties and high corrosion resistance. With high strength to weight ratio, the composites are widely used to withstand high stress. GFRP are the composites having Glass fibers as reinforcements and epoxy resin as matrix. With the addition of Al alloy powder to the epoxy matrix, an enhanced mechanical property is observed. The existing domestic LPG cylinders are made up of low carbon steel with suitable heat treatment. It is used to store the mixture of Butane and Propane under high pressure. However, the gross weight of the cylinder is very high which makes handling difficult. The aim of this paper is to replace the traditional LPG cylinders with GFRP- Al composite which is less dense than the traditional steel, however having significant mechanical properties that satisfy the safety standards.
Dualities between Laplace Transform and Some Useful Integral Transforms
Authors:   Assistant Professor, Department of Mathematics, National P.G. College, Barhalganj, Gorakhpur-273402, U.P., India,, Aggarwal Sudhanshu , Bhatnagar Dr. Kavita ,   Assistant Professor, Department of Mathematics, Noida Institute of Engineering & Technology, Greater Noida-201306, U.P., India
Published: November 2019

Integral transforms have wide applications in the various disciplines of engineering and science to solve the problems of heat transfer, springs, mixing problems, electrical networks, bending of beams, carbon dating problems, Newton’s second law of motion, signal processing, exponential growth and decay problems. In this paper, we will discuss the dualities between Laplace transform and some useful integral transforms namely Kamal transform, Elzaki transform, Aboodh transform, Sumudu transform, Mahgoub (Laplace-Carson) transform, Mohand transform and Sawi transform. To visualize the importance of dualities between Laplace transform and mention integral transforms, we give tabular presentation of the integral transforms (Kamal transform, Elzaki transform, Aboodh transform, Sumudu transform, Mahgoub transform, Mohand transform and Sawi transform) of mostly used basic functions by using mention dualities relations. Results show that the mention integral transforms are strongly related with Laplace transform.
Wearable ECG Recorder with MATLAB
Authors:   PhD (Persuing),Research Scholar,Gujarat Technological University,Ahmedabad,Gujarat,India, Sevak Mayur M. , Pawar Tanmay D. ,   Professor and Head, Electronics Engineering Department. BVM Engineering College - Vallabh Vidyanagar Gujarat ,India
Published: November 2019

Looking at the current scenario and lifestyle of individual, cardiac diseases have become common problem irrespective of person’s age. In some cases if this kind of cardiac disease is at severe level than it become the reason for death .Electrocardiograph is electrical activity of heart. By acquiring it through device and analysis, the cardiac health of person can be diagnosed. In this paper we are utilizing 3-lead wet electrode to acquire ECG Signal The ECG signal is conditioned and filtered by AD8232 IC and acquired in MATLAB through microcontroller. It is simply wearable device and heart rate of person is displayed in MATLAB.
Industrial Electricity Consumption and Expropriate Analysis Technique
Authors:   Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda, Dangar Bharat , Joshi S. K. ,   Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda
Published: November 2019

Electricity power losses activity is a major problem for many electrical utilities worldwide. Not only does it affect a company’s profitability and credibility, but it also increases the cost of electricity to industrial consumers. Therefore, the need to minimize the extent and impact this problem is crucial for both the utilities, including MGVCL Gujarat that is the focus here, and their industrial consumers.
Object Recognition in Image Sequence using Heuristic Convolution Neural Network
Authors:   Department of Computer Science and Engineering, N.M.A.M. Institute of Technology, (Visvesvaraya Technologcal University, Belagavi) Nitte 574110, Udupi District, India., M Mahesh Kini
Published: November 2019

The human visual system can make a distinction of tiger from cat very easily without taking any efforts. But in case of a computer system, it is a very complicated job. Identifying and differentiating task has to deal with many challenges but the human brain makes it effortless. Self learning or heuristic techniques are most relevant in this area. The recognition task is to search for the particular object of same shape, color and texture and so on, of the trained objects and match with input. The geometrical distinction such as zoom in, zoom out, rotation etc result in poor performance. This paper uses convolution neural network models Alexnet and VGGNet on object recognition problems which are added with novel heuristic method. We have used CIFAR-10 dataset. The performance and computation speeds are found efficient.
Controller and Observer Techniques for Twin Rotor MIMO System
Authors:   Electrical Engineering, BATU University, P.V.P.I.T, Budhgaon, Sangli, India., Jadhav Miss. Tejas S. , Gadgune Prof. Swapnil Y. ,   Electrical Engineering, P.V.P.I.T, Budhgaon, Sangli, India.
Published: November 2019

This paper elaborates the controller and observer system with all mathematical modeling of Twin Rotor MIMO System (TRMS) which is eminently nonlinear system. TRMS is 2 DOF (Degree of Freedom) helicopter model which originated in company called Feedback Instrument Limited for controlling and experimenting of different algorithms. Two DOFs i.e. Yaw and Pitch control need to control by using controller, that imply to track a desired path. Nowadays, the Unmanned Aerial Vehicles (UAV) has been tremendously useful for road traffic by video surveillance and supervisions for public purposes. Because of capacity to hover, helicopters can be used in any environmental conditions. Hence, Scope of TRMS studies has been increasing.
Addressing The Challenge Of An Efficient Billboard Management In Accra Metropolitan Area
Authors:   Department of Computer Science, Catholic Institute of Business and Technology, CIBT, Accra, Ghana, Bleboo John , Bawa* Anthony ,   Department of Computer Science, Catholic Institute of Business and Technology, CIBT, Accra, Ghana, Bleboo John ,   Department of Computer Science, Catholic Institute of Business and Technology, CIBT, Accra, Ghana,
Published: November 2019

The urban planning of Accra has become very essential to develop the capital city of Ghana. The inability of the local government authority to efficiently managed billboards in the city by easily tracking the locations of installed billboards and effectively segregate the expired mounted billboards from the unexpired ones has become a major challenge. The need for an efficient system to properly manage billboards within Accra Metropolitan Assembly has become very essential. A web base system is developed to efficiently manage all billboards installed within the Accra Metropolitan Assembly in other to segregate the expired billboards from the unexpired ones and to improve revenue collection for the local authority. The Rapid Application Development model is adopted in designing the system using PHP, MySQL database, Bootstrap and JavaScript technologies. The developed system proves to be very efficient in managing billboards at various locations within Accra and the system also facilitates the easy collection of revenue for the metropolitan assembly.
Strength of Corrugation in Roofing Sheet with Various Fibres
Authors:   Assistant Professor, Department of Civil Engineering, Kongu Engineering College, Affiliated to Anna University, Erode, Tamilnadu. India., Sivakumar* Mr.A. , Dhanasekar Mr.G. ,   PG Scholar, M.E, Department of Civil Engineering, Kongu Engineering College, Affiliated to Anna University, Erode, Tamilnadu. India., Madhumitha Ms.L. ,   PG Scholar, M.E, Department of Civil Engineering, Kongu Engineering College, Affiliated to Anna University, Erode, Tamilnadu. India., Parthiban Mr.V. ,   Assistant Professor, Department of Civil Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu, India.
Published: November 2019

Due to tearing out at its corrugations because of high wind and impact loads most of the corrugated roofing sheets have damaged. By using fibre reinforcement the strength of these sheets can be improved. The fibres play the role of crack arrest and absorb energy. In this research paper the fibre namely polyester, glass fibre, coconut coir fibre and fly ash are used as reinforcement in cement matrices for producing corrugated roofing sheets and it has been investigated and reported. These roofing sheets were cast by hand and the strength of the corrugations of the sheets in terms of splitting due to water absorption test, impact load and flexure test were experimentally evaluated. It is identified that the strength of the fibre sheets due to buckle strength and impact loads increased as compared to the corrugated sheets without fibres. This study has shown that asbestos can be replaced by these fibres, in the fabrication of corrugated roofing sheets.
Optimization of Next-Generation Alcohols and Fishoil Methyl Ester Blends In a Single Cylinder DI-CI Engine Using Response Surface Methodology
Authors:   PhD Scholar, Department of mechanical Engineering NIT Agartala, Tripura., Billa Kiran Kumar , Sastry G.R.K. ,   Professor, Department of mechanical Engineering NIT A.P, A.P., Deb Madhujit ,   Assistant Professor, Department of mechanical Engineering NIT Agartala, Tripura
Published: November 2019

The present investigation delivers a comprehensive viewpoint on the current artificial intelligence (AI) meta-modelling in diesel engine system, particularly in the domains of multi-objective optimization. The relevance to the benefits of AI built modelling stratagems, and the probable Response Surface Methodology has been efficient with the consecutive growth in the current domains of the compression ignition technology. The study establishes the fundamental significance of inspecting certain multi-objective optimization stratagems matching with the accumulating need to deal with emission-performance trade-off trials of the compression ignition technology. To achieve the reliability and versatility of such model centered multi-objective optimization strategies, the current study delivers a unique case-study presenting the creditably accurate model-based standardization in an existing diesel engine. Therefore, n-Octanol produced in renewable ways, methyl esters of fish oil (MEFO) blended with diesel is used as fuel and the experiments were designed by Design of Experiments (DoE) based on response surface methodology (RSM) architecture. The results depicted that the tailor-made fuels proved their ability in terms of both performance and emissions when compared to mineral diesel. The model is further tested on a statistical platform with some special error matrices like Mean Squared Relative Error, MSRE, and Nash–Sutcliffe Coefficient of Efficiency, NCE along with conventional model testing metrics like MSE, RMSE and R which proved that the proposed model is robust and efficient in predicting the input-output paradigm. The ranges of correlation coefficients R, R2 and NCE are 0.99786 - 0.999992, 0.99786-0.999992 and 0.9957 – 0.999984 respectively. And the ranges of the error metrics Theil U2 and MSRE are 0.004048 0.065246 and 6.07E-07 to 0.000158 respectively. Optimization of input parameters was performed using the desirability approach of the response surface methodology for better performance and lower NOx and CO emission at a desirability index of 0.986. Experimental validation suggested a blend of 20% MEFO and 10% n-Octanol with petrodiesel at full loads were found to be optimal values for the test engine.
Development of an Automated Grading System of White Pea Bean Using Image Processing Techniques Convergence with Ann
Authors:   Department of Software Engineering,Addis Ababa Science and Technology University,Addis Ababa, Ethiopia, Fekadu Mesfin , K. Dr. Sudhir ,   Department of Software Engineering,Addis Ababa Science and Technology University,Addis Ababa, Ethiopia, Belete Befekadu ,   Department of Software Engineering,Addis Ababa Science and Technology University,Addis Ababa, Ethiopia
Published: November 2019

White pea bean is a very important crop where its circulation in the market has to conform to the rules of quality inspection. Currently, white pea bean sample quality inspection is performed manually by human experts through visual evaluation and the constituents classified into foreign matter, rotten and diseased, healthy, broken, discolored, shriveled and pest damaged kernels. However, visual evaluation requires significant amount of time, trained and experienced people. Besides, it is affected by bias and inconsistencies associated with human nature. Such approach will not be satisfactory for large scale inspection and grading unless fully automated. A total of 24 features (14 color, 8 shape and 2 size) have been identified to model white pea bean sample constituents. For classification of White pea bean samples, a feedforward artificial neural network classifier with backpropagation learning algorithm, 24 input and 7 output nodes, corresponding to the number of features and classes respectively has been designed. The network is trained and its performance is compared against other classifiers using empirically. For the purpose of training the classifier, a total of 602 kernels and foreign matters have been collected from Ethiopian Grain Trade Enterprise. The training data is randomly apportioned into training (70%) and testing (30%). The classifier achieved an overall classification accuracy of 96.8%. The success rates for detecting foreign, rotten and diseased, healthy, broken, discolored, shriveled and pest damaged kernels are 94.9%, 96.5%, 96.3%, 97%, 97.9%, 97%, and 97.6%, respectively.
Fuzzy Logic Controlled Current Source- Quasi ZSI Fed IM
Authors:   M.E, Power Electronics and Industrial Drives, Sathyabama University, Tamil Nadu., Shunmugakani P. , Kirubakaran D. ,   Ph.D from Anna University.
Published: November 2019

Quasi ZSI are used for induction motors operating at low input voltage. This work deals with comparison of FLC & PI controlled current fed quasi ZSI fed IMdrive systems. Open loop and closed loop systems are simulated by considering step change in load. The results of open loop and closed loop systems are compared. The objective of this work is to improve the dynamic response of CFQZSI using FLC. The time responses of PI and FLC controlled closed loop systems are also compared. Fuzzy logic controlled system is proposed to improve the dynamic response of CFQZSI fed induction drive system. Design and simulation results are presented to demonstrate the new features. FLC is observed to provide better control the another controllers and it also has improved damping characteristics.
Cotton Leaf Disease Detection Using Texture and Gradient Features
Authors:   Department of ECE, Sethu Institute of Technology, Kariapatti-630615, Virudhunagar, Tamilnadu, Afroze A.Sabah , Beham M. Parisa ,   Department of ECE, Sethu Institute of Technology, Kariapatti-630615, Virudhunagar, Tamilnadu, Tamilselvi R. S.M. Seeni Mohamed Aliar Maraikkayar ,   Department of ECE, Sethu Institute of Technology, Kariapatti-630615, Virudhunagar, Tamilnadu,, Rajakumar K. ,   Department of CSE, Sethu Institute of Technology, Kariapatti-630615, Virudhunagar, Tamilnadu
Published: November 2019

The detection of cotton leaf disease is a very important factor to prevent serious outbreak. Most cotton diseases are caused by fungi, bacteria, and insects. A new method is proposed for careful detection of diseases and timely handling to prevent the crops from heavy losses. A disease due to bacteria, insects and fungus occurs in the cotton leaves in the range of about 80-95%. In the proposed work, first the group of infected leaves and normal leaves are collected and the image preprocessing is done using Adaptive histogram equalization for enhancing the contrast. In feature extraction phase, texture and gradient feature are extracted using Local Binary Pattern (LBP), Histogram of Oriented Gradient (HOG) and Differential of Gaussian (DOG). K- Nearest neighbor classifier is applied to classify the leaf image as a unaffected or an affected leaf. A cotton leaf database is internally created to evaluate the efficacy of our algorithm. The validate results show that the proposed method achieved higher classification accuracy in lower computational time.
A Versatile Load Leveling Method for Fuel cell-based Electric Drive for Vehicular Application
Authors:   Electrical & Electronics Engineering Department, Sharda University, Greater Noida, India., Pany* Premananda
Published: November 2019

This paper presents a flexible power control strategy of a fuel cell (FC)- battery combined hybrid power source fed DC motor drive suitable to be used in electric vehicles which can be capable of working efficiently with an straightforward control method, operating the drive precisely in FC and hybrid modes during the entire drive operation. Although Fuel Cells are very widely accepted by the electric vehicle manufacturing industries, still the power control criterion can be improved to increase overall efficiency. The most appropriate Master Slave Control technique has been implemented to control the modes based on load power requirement and transient operations. The controller with the algorithm guarantees that total load is shared exactly between the two sources all through intense load and transients conditions. Such method inevitably facilitates the fuel cell to work in normal load region throughout transient and steady state by equally sharing the load current between the master and slave converters. The efficacy of the proposed scheme is verified through simulation which is carried out using MATLAB/Simulink software. Investigational tests are carried out using LabVIEW platform with PCI 6251 DAQ I/O interfacing card for viability of the system. FC can be considered as most vital electric power and component of an electric vehicle.
EFEKTIFITAS PENDIDIKAN KESEHATAN TERHADAP PENGETAHUAN DAN PSIKOMOTOR IBU TENTANG PIJAT BAYI DI WILAYAH KERJA PUSKESMAS SUKARAYA KABUPATEN OGAN KOMERING ULU
Authors: Delvia Siska , Azhari Muhammad Hasan
Published: November 2019

Latar Belakang: Pengalaman pijat pertama yang dialami oleh manusia ialah pada waktu dilahirkan,yaitu pada waktu melalui jalan lahir ibu. Meskipun bayi belum bisa bicara, tetapi mereka bisa merasakan rangsangan yang diberikan oleh lingkungannya, seperti sentuhan atau pijatan yang diberikan oleh orang tuanya. Penelitian ini bertujuan untuk mengetahui efektifitas pendidikan kesehatan terhadap pengetahuan dan psikomotor ibu tentang pijat bayi di wilayah kerja puskesmas sukaraya.

Metode: Penelitian dilakukan dengan metode eksperimen semu dengan rancangan pre-post eksperimental, dengan jumlah sampel 33 ibu.Penelitian ini dimulai pada tahun 2019 denganpengambilan sampel secara total sampling. Pengolahan data mengunakan sistem komputerisasi dan dilakukan analisis secara univariat dan bivariat dengan uji Wilcoxon.

Hasil: uji statistik menunjukkan adanya pengaruh yang bermakna (signifikan) antara pendidikan kesehatan terhadap pengetahuan (p v = 0,000), namun tidak ada pengaruh pendidikan kesehatan terhadap psikomotor (p v = 0,089).

Kesimpulan: Diharapkan pelayanan kesehatan dapat meningkatkan pendidikan, pembinaan kesehatan, dan program pelatihan tentang pijat bayi melalui Kader-kader kesehatan, sehingga masyarakat terutama ibu-ibu dapat menjaga dan meningkatkan kualitas kesehatan bayi mereka.
Identification Of Amfetamine, Marijuana And Morfin The Urine Students Of School “X” With ARapid Diagnostic Test
Authors: Yasa I Ketut Buana , Setiawan Didik , Pamungkas M.Adreng
Published: November 2019

Introduction: High rates of drug abuse, especially Amfetamine, Marijuana dan Morfin in Indonesia, including vulnerable areas where circulation is the island of Bali. One of which is the area of Badung, where the victims and targets of drug dealers are adolescents aged 11-24 years. drug should be used for treatment and research, But for various reasons. Drug addicts have been abused. The reasons this research is to identify compounds amfetamine, marijuana and morfin in the urine high school students of class XI language in “X” district of Badung with a rapid diagnostic test. Method: used in this research rapid diagnostic test. Samples were taken through the draw of 2 classes, each 0f which was taken 16 people to obtain 32 urine samples,result from 32 urine samples with a total of 12 women, the number of mem as many as 20 people aged 16-18. With the acknowledgment of not taking drugs. Result: obtained 100% absence amfetamine, marijuana and morfin on the urine sample. Discussion:  School advised always to provide guidance on how to avoid the use of drugs to students and parents.
The Description of Low Density Lipoprotein (LDL) Levels on Smoker and Non Smoker Adolescent in Buyan Hamlet, Pancasari Village, Sukasada District, Buleleng, Bali
Authors: Juliani Ni Made Restina , Dharmawan I Putu Oka , Parwati Putu Ayu
Published: November 2019

Introduction: Low Density Lipoprotein (LDL) is a type of low-density lipoprotein and the most widely transported cholesterol in the body. Increased levels of LDL in the body can be affected by genetics, age, gender, obesity, physical activity, lifestyle, drug consumption and smoking. Substances in a cigarette can cause an increase of LDL levels. Increased of LDL cholesterol levels can cause Coronary Heart Disease (CHD). The purpose of this research is to know the description of Low Density Lipoprotein (LDL) levels on smoker and non-smoker adolescent in Buyan Hamlet, Pancasari Village, Sukasada District, Buleleng Bali. Method: The type of this research is descriptive. This research was conducted in April-May 2017, which used fasting blood samples of 42 respondents. Result: From the average result of LDL level in smoker adolescent that is 134,91 mg/dL higher than the average of LDL level in non-smoker adolescent that is 74,90 mg/dL. The result of LDL cholesterol levels was determined by 21 smoker adolescent respondents with the close to optimal category (100-129 mg/dL) as many as 9 people (42,8%), and 12 people (57,3%) with worry category (130-159 mg/dL). Whereas in 21 non-smoker adolescent respondents obtained  result of LDL cholesterol level test with optimal category (<100 mg/dL) counted 18 people (87,71%) and 3 person (14,30%) with close to optimal category (100-129 mg/dL). Discussion: Based on the results of this research can be concluded that in smoker adolescent obtained LDL levels with close to optimal category and worrying whereas in non-smoker adolescents obtained LDL levels in the optimal category and close to optimal.
The Relation of the Family Support with the Healthy Lifestyle of Hypertension in Family
Authors: Mahadewi I. G. A. Merry , Suniyadewi Ni Wayan , Mudia Nyoman
Published: November 2019

Hypertension is a condition when the systolic blood pressure greater than 120 mmHg and diastolic blood pressure over 80 mmHg. Healthy lifestyle of hypertension as one of handling blood pressure so that family support is necessary in order to achieve compliance with management healthy lifestyle in patient with hypertension. The purpose study to determine relation of the family support with the healthy lifestyle of hypertension in family. Method: Design of study deskriptif corelasional with cross sectional design. Study was conducted at UPT Kesmas Gianyar I with forty three respondents was taken by consecutive sampling. Family support and healthy lifestyle of hypertension by questionnaire and analyzing using by rank spearman test. Result: Research of study showard most respondents have a high family support 41,9% and a most respondents has enough healthy lifestyle 58,1%. The result of analysis obtained p=0.012<α (α=0.05), which means there is a significant a relation of the family support with healthy lifestyle of hypertension in family. Discussion: Device for community to implement the healthy lifestyle of to controlled blood pressure in patient with hypertension.