bluuebunny/crossref_metadata_2025 huggingface dataset:
KAJIAN KUAT LENTUR BETON TERHADAP KUAT TEKAN BETON (fc’= 25 MPa) MENGGUNAKAN PASIR SUNGAI MUSI
Authors: Farlianti Sari , Sapta Sapta
Published: February 2020

Pada penelitian ini dilakukan pengujian kuat tekan dan kuat lentur dengan menggunakan bahan dan Job Mix Formula (JMF) yang sama dan dilakukan pembuatan benda uji secara bersamaan dengan pembuatan campuran beton dalam satu adukan. Untuk pembuatan benda uji kuat tekan menggunakan cetakan silinder dengan diameter 150mm dan tinggi 300mm, sedangkan untuk pengujian kuat lentur, digunakan benda uji dengan ukuran 150mm x 150mm x 600mm. Pengujaian kuat tekan mengacu pada SNI 1974;1990 dan ASTM C39M, pengujian kuat lentur mengacu pada SNI 2834;2002. Dari hasil pengujian kuat tekan beton didapatkan kuat tekan rata-rata sebesar 25,06 MPa sedangkan kuat tekan rata-rata rencana dalam disain campuran beton (Job Mix Design) sebesar 34,84MPa (dengan margin 9,84MPa), akan tetapi melampaui kuat tekan yang disiyaratkan sebesar 25 MPa dengan benda uji yang tidak memenuhi syarat sebesar 5% (k=1,64), ini mengindikasikan ikatan antara mortar dan agrerat kasar kurang baik. Untuk kuat lentur yang dihasilkan berdasarkan hasil uji di laboratorium didapatkan kuat lentur rata-rata sebesar 3,28 MPa dengan  Momen Retak (crack) berdasarkan SNI 2847;2013 sebesar 1.84.500 N.mm, lebih besar dari Momen Retak berbasarkan hasil uji kuat tekan dengan menggunakan rumus runtuh SNI 2847;2013, yaitu sebesar 1.743.750 N.mm, mengindikasikan bahwa pada penelitian ini disain campuran beton dan pembuatan benda uji telah sesuai prosedur.     
Kata kunci : Kuat Lentur, Kuat Tekan, Momen Retak
PERBANDINGAN NILAI BAKAR BRIKET BATUBARA DAN BRIKET ARANG (CAMPURAN CANGKANG BINTARO (Cerbera Manghas) DAN BAMBU BETUNG (Dendrocalamus Asper)
Authors: Febriana Ida , Zurohaina Zurohaina , Effendy Sahrul
Published: February 2020

Charcoal briquettes are smokeless fuels which are a type of solid fuel whose fly substance is made low enough so that the smoke generated on its utilization will not interfere with health. In this study charcoal briquettes were made from bintaro shell waste and betung bamboo using tapioca flour adhesives. This study aims to obtain the best quality sub-bituminous coal briquettes and coal briquettes. In this study the carbonization temperature used was 400ᵒC and the composition of raw materials for bintaro shells and betung bamboo was 50:50, the composition of raw materials for sub-bituminous coal and straw 90:10. The method used in this research is experiment or experimental method, with fuel value collection using ASTM D5865-03 standard. The results obtained from this study are for charcoal briquettes with 4000C carbonization temperature Inherent Moisture value of 1.91%, ash 2.29%, volatile matter 23.79%, fixed carbon 72.01% and calorific value 5878.7 kal / gr, and for coal briquettes obtained value Inherent Moisture 0.52%, ash 4.42%, volatile matter 17.98%, fixed carbon 77.08% and calorific value 7152.6 kal / gr. The fuel value of coal briquettes is greater than that of charcoal briquettes, but the combustion value of charcoal briquettes includes a good calorific value as an alternative energy source, and is in accordance with the SNI standard of 5000 kal / gr, even close to the Japanese standard 6000 cal / gr.

Keywords: Bintaro, briquette, calorific value
HUBUNGAN LINGKAR LENGAN ATAS DENGAN INDEKS MASSA TUBUH PADA DEWASA MUDA
Authors: Prihandini Kurnia Dwi , Purbowati  , Mulyasari Indri
Published: February 2020

Latar Belakang : Indikator penilaian status gizi pada dewasa dengan menggunakan Indeks Massa Tubuh (IMT). Namun, pada individu yang tidak dapat diukur tinggi badan dan ditimbang berat badan secara aktual diperlukan indikator lain. Salah satu indikator lain untuk memperkirakan IMT yaitu Lingkar Lengan Atas (LILA)

Tujuan : Mengetahui hubungan LILA dengan IMT pada dewasa muda.

Metode : Jenis penelitian ini merupakan studi kolerasi menggunakan pendekatan cross sectional. Populasi yang digunakan yaitu mahasiswa Fakultas Ilmu Kesehatan dan Fakultas Keperawatan Universitas Ngudi Waluyo yang berusia 19-29 tahun. Sampel sebanyak 303 responden diambil menggunakan metode disproportionate random sampling. LILA di ukur dengan menggunakan metline pada posisi berbaring dan nilai IMT diperoleh dengan berat badan (kg) dibagi tinggi badan (m) kuadrat yang diukur pada posisi berdiri. Analisis data dengan menggunakan uji kolerasi Spearman rho (α = 0,05).

Hasil : Rata-rata LILA responden yaitu 254,00 ± 38,2 mm, LILA terendah 186,00 mm dan tertinggi 412,00 mm. Rata-rata IMT responden yaitu 22,45 ± 4,6 kg/m2 . IMT terendah 15,17 kg/m2 dan tertinggi 45,63 kg/m2 . Ada hubungan LILA dengan IMT pada dewasa muda (p=0,0001).

Simpulan : Ada hubungan LILA dengan IMT pada dewasa muda
La corrupción en Ibagué (2012-2015): indicadores y percepción
Authors: Perdomo Lesmes Diego Andrés
Published: February 2020

Las dicientes cifras de la Encuesta de Percepción Ciudadana en materia de corrupción, favorabilidad, credibilidad y buena gestión de la administración de Luis H. Rodríguez 2012-2015; la visibilización en los medios locales y nacionales del fracaso de los Juegos Nacionales, las reiteradas denuncias públicas de casos de corrupción y el inconformismo generalizado de los ibaguereños con dicha administración, fueron algunos de los problemas que presentó Ibagué en este periodo administrativo. Lo anterior demanda con urgencia una respuesta y un trabajo analítico —que permite como objetivo del presente artículo— describir y aproximar la realidad del fenómeno social que es la corrupción.

Inicialmente, el documento se concentrará en realizar avances conceptuales sobre este fenómeno. Luego, se analizará el Índice de Gobierno Abierto (IG A) y el Índice de Desempeño Fiscal (IDF) como indicadores de buen gobierno. Finalmente, se compararán estos con los resultados de la Encuesta de Percepción Ciudadana de los ibaguereños, con el fin de realizar una aproximación a la corrupción en Ibagué, y encontrar posibles relaciones entre los dos componentes —indicadores y percepción—, durante la administración de Luis H. Rodríguez.
Algumas velocidades de órbitas planetárias
Authors: Amaral Mylena Marins do , Márquez Rosa María García , Araújo Jorge Corrêa de
Published: February 2020

In the present work are presented data collected in the scientific literature regarding the aphelion and the perihelion of some celestial bodies and based on the first law of Kepler are determined the elliptic equations that describe their trajectories around the Sun. Using Newton's binomial and basic concepts of energy conservation and angular momentum of a system, can be obtained the maximum velocity of the each celestial body here analyzed as a function of the eccentricity of the elliptical orbit and it axis. Obtaining the orbital time of each of these celestial bodies and the length of their trajectories around the Sun, their average orbital velocity was calculated using the kinematics of the motion. The results obtained using this simplified methodology are good in agreement with those published by astronomers.
Location-based Access Control in Neighborhood Geosocial Network: a Case of Emergency Assistance
Authors:   Center for Advanced Computing Technology, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia, Anawar* Syarulnaziah , Loong Low Sheng ,   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia., Harum Norharyati ,   Center for Advanced Computing Technology, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia., Hamid Erman ,   Center for Advanced Computing Technology, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
Published: February 2020

To enforce safer virtual neighborhood environment, access control is essential to specify privileges or access rights to resources in neighborhood geosocial network applications. In the case of emergency circumstances, several concerns in implementing access control have been identified: (1) inefficient message sending to irrelevant recipients (2) location spoofing (3) gossip and rumors due to disclosing information to wrong audience. To address such potential risks, access control specifically tailored for neighborhood geosocial network is required. The objective of this paper is two-fold: First, to propose an access control using density-based and position-based location conditions for neighborhood geosocial network. Second, to design mySOS, a proof-of-concept prototype that incorporate the proposed access control to improve access control for emergency assistance in neighborhood geosocial network. To achieve the objectives, a combination of proposed self-organized segmentation algorithms (density-based) and resident engagement incentives (position-based) are implemented. This study contributes to a new way for access control that will determine user profile in accessing emergency assistance features in a neighborhood geosocial network application.
Stand-Alone Hybrid Wind-Diesel Power Systems for Commercial Loads of Turaif-Saudi Arabia - Techno-Economics of Hot Desert Regions for Sustainable Clean Future
Authors:   Center for Engineering Research, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia., Shaahid* S. M.
Published: February 2020

Hybrid wind-diesel technology is disseminated world-wide to minimize depletion of fossil-fuels and carbon emissions. Appreciable amount (10-40%) of energy generated is consumed by commercial/residential buildings of Kingdom of Saudi Arabia (K.S.A.). This investigation aims at techno-economic assessment of hybrid wind-diesel systems (HWDS) to satisfy electrical demand (620,000 kWh per year) of a representative commercial building at Turaif (Northern Province, K.S.A.) by analysis of wind speed data. As per the study, the monthly average wind speed of Turaif lies in the range 3.4 - 4.4 meters per second. The configurations simulated include various mixes of 100 kW wind machines (WTG) and diesel systems. The techno-economic evaluation is carried out by using NREL’s (HOMER Energy’s) HOMER software. The results point out that the wind fraction (with zero % load rejection) is 20% for a hybrid configuration composed of one 100 kW WTG together and 175 kW diesel generator. The energy generation cost (COE) from this system is 0.123 $/kWh. Also, 20% wind fraction, results in reducing carbon emissions by 91 tons/year. The diesel operation time is less with higher penetration of wind. Also, emphasis is on effect of wind fraction on energy produced, COE, operational time of diesel sets, un-met load, excess energy, fuel savings, carbon emissions, cost of HWDS, etc.
Data Mining Technique to Data Collection and Analysis for Cyber Forensic
Authors:   Department of Computer Science and Engineering, G H Raisoni College of Engineering, Nagpur, India., Khobragade* Prashant , Saraf Pranay ,   Department of Computer Science and Engineering, G H Raisoni College of Engineering, Nagpur, India., Thakre Preeti ,   Department of Computer Science and Engineering, G H Raisoni College of Engineering, Nagpur, India., maidamwar Priya ,   Department of Computer Science and Engineering, G H Raisoni College of Engineering, Nagpur, India.
Published: February 2020

In the world of Digital forensic the uncovered digital may contain vital information for digital data investigation for investigator. Digital data collected from the crime scene leads to find out the clue after performing analysis by the examiner. This process of data examination data collection and analysis plays important role in cyber world for the forensic investigator. The cybercrime is a part of computer forensics where the digital evidences are analyze by the investigator and to perform analysis special measurements and techniques are required in order to use this details that has to be accepted in court of law for law enforcement. The data collection of evidence is a key aspect for the investigator, such kind of digital data has to be collected from different sources at the crime scene and this process involves to collect each and every evidence of digital crime scene and later this gather data will be analyze by the experts to reach to the conclusion. In this paper the proposed method collected the data from the crime scene efficiently which includes log data, transactional data, physical drive data, and network data; later this collected data analyzed to find out the theft node in the network. In this paper FTK 4.0 digital forensic tool used to reduce plenty of time for data processing and later report will be produce that will be accepted tin the court of law. This paper also focuses the data collection method with in the network and reach to the faulty node and later this faulty node analyzed with all collected data for forensic analysis. For this standard algorithm used to analyze the performance of distinct features used for network attacks. Kmeans clustering methodology is used to create cluster of victim node and represent victim data in systematic manner for the ease of law enforcement.
Paddy Crop Production Analysis Based on SVM and KNN Classifier
Authors:   Dept. of Info. Tech., Guru Nanak Dev Engineering College, Ludhiana, Punjab, India., Bhambri* Dr. Pankaj , Dhanoa Dr. Inderjit Singh ,   Dept. of CSE, Guru Nanak Dev Engineering College, Ludhiana, Punjab, India., Sinha Dr. Vijay Kumar ,   Dept. of CSE, Chandigarh Engineering College, Mohali, Punjab, India, Kaur Er. Jasmine ,   Dept. of CSE, IKGPTU, Jalandhar, Punjab, India.
Published: February 2020

In earlier times, the people used to fulfill their own requirements by cultivating the crops in their own land regions. In the economy of a nation, an important role is played by the farming sector. A variety of fungal and bacterial infections infect various crops. Reducing the use of insect killers is a prominent demand of sustainable development. The minimum use of pesticides saves environment and increases the quality of crops. To improve the accuracy of paddy production prediction the KNN is implemented for the paddy production prediction in data mining. The SVM classifieris also implemented which is compared with the KNNclassifier. The presented and earlier classifier will be applied in python and it is expected that accuracy will be improved and execution time will be reduced. It is analyzed that KNN performs well as compared to SVM classifier for the paddy production prediction as per the obtained analytic results.
Energy Efficient IoT Home Monitoring and Automation System (EE-HMA)
Authors:   Department off Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia. Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, United States, Aldabbagh* Ghadah , Alzafarani Raneen ,   Department off Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia., Ahmad Ghadi ,   Department off Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Published: February 2020

The paper focuses on using ICT tools for smart home applications. It presents the design and implementation of a system to monitor and analyze the energy consumption, utilize lights when needed, program the temperature by identifying inhabitants' absence and setting the temperature appropriately high or low. The system also uses colored LEDs to alert inhabitants of different parameters, to turn their loads on and off based on the cost of electricity use as well as to enable them to control some of their home appliances usage through a mobile application to reduce electricity usage and minimize energy waste.
Transgenderism in Cyberspace: Technology Empowering Transgender
Authors:   Faculty Associate & Research Scholar, KIIT Deemed to be University, Bhubaneswar,, Priyadarshini* Sugyanta , Mishra* Deepanjali ,   Associate Professor, KIIT Deemed to be University, Bhubaneswar,, Swain Sukanta Chandra ,   Associate Dean, KIIT Deemed to be University, Bhubaneswar
Published: February 2020

Technology has irreversibly transformed the society and provided a platform to shape the values believes and culture of masses keeping in mind the elimination of gender disparity. However, the existence of Transgender section has challenged the rigid concept of this binary arrangement of social institution. As biological sex does not coincide with the gender identity, transgenders experience severe violence and harassment and most of them are subjected to housing and employment discrimination. Major technological advances such as cyberspace, internet and mass media have provided enormous opportunities for transgender upliftment. Socializing from private realms to discussing various sensitive and embarrassing issues on social platform, from offering or receiving suitable advice and support regarding coming out to sharing unconventional emotions staying at the fringes of the society, technology plays a significant role in tackling gender inequality and empowering transgender. This paper, therefore examines how cyberspace and mass media empowers transgenders by overcoming offline impediments related to their gender and awaking common masses vis-à-vis the issues transgender face due to their gender identity.
Properties of Pavement Quality Concrete Prepared with Recycled Coarse Aggregate
Authors:   Professor, Centre for Construction methods and Materials, Department of Civil Engineering, S R Engineering College, Warangal, Murthi* *Dr.P. , Khan Almas ,   Final year UG student, Department of Civil Engineering, S R Engineering College, Warangal, Poongodi Dr.K. ,   Professor, Department ofCivil Engineering, S R Engineering College, Warangal, Gobinath Dr.R. ,   Professor and Head, Department of Civil Engineering, S R Engineering College, Warangal
Published: February 2020

The investigation is intended to evaluate the impact of substitution of demolished concrete debris as coarse aggregate (CA) in pavement quality concrete (PQC). The strength characteristics of PQC such as compressive strength, tensile strength, flexural strength and impact strength after adding recycled coarse aggregate (RCA) are experimentally determined in laboratory environment. Specimens of M30 grade concrete were prepared and tested. The RCA was substituted up to 50% by replacing CA content. Based on the investigation results, it was found that reduction of slump value due to the substitution of RCA in concrete. There is no remarkable reduction of compressive strength and flexural strength up to 30% and 40 % replacement of CA respectively in all the curing periods. The impact strength was reduced due to addition of RCA and observed 8% reduction after adding 20% RCA. It is suggested that RCA may be used up to 20% as CA in PQC.
Turning and Drilling of HSS using ALNOVA Coating
Authors:   Mechanical Department, AarupadaiVeedu Institute Of Technology, Vinayaka Mission’s Research Foundation, Chennai, India., Saravanan* M. , Imthiyas A. ,   Mechanical Department, AarupadaiVeedu Institute Of Technology, Vinayaka Mission’s Research Foundation, Chennai, India., Philip Roshin ,   UG Scholars, Mechanical Department, AarupadaiVeedu Institute of Technology, Vinayaka Mission’s Research Foundation, Chennai, India., Jacob Dany Roy ,   UG Scholars, Mechanical Department, AarupadaiVeedu Institute of Technology, Vinayaka Mission’s Research Foundation, Chennai, India., Shravan  ,   UG Scholars, Mechanical Department, AarupadaiVeedu Institute of Technology, Vinayaka Mission’s Research Foundation, Chennai, India.
Published: February 2020

BALINI ALNOVA enhanced wear resistance as well as increased corrosion resistance and warm hardness makes this new coating the choice for end mill. The service life of BALINIT ALNOVA coated end mills is up to 30 times longer compared to other high coatings. Performance coating with BALINIT ALNOVA we can machine challenging material High performance and high quality. AlCrN is the coating material and the coating structure is multilayer.
Design of Landsman Converter Fed BLDC Motor using IFOC and Back EMF Estimation Method
Authors:   Assistant Professor, Department of Electrical Engineering, Navajo Technical University, USA., Sundaram* Dr. A. , Romine Dr. Peter ,   Department of Electrical Engineering, Navajo Technical University, USA.
Published: February 2020

In this paper, sensor-less control of Brushless DC (BLDC) motor drive fed from Landsman Converter (LC) powered from photovoltaic (PV) is designed to improve the performance of the motor. For obtaining the torque ripple minimization and accurate speed control using simplified Indirect Field Oriented Control (IFOC) is applied to the motor with Back-EMF estimation method. It is used for estimation of speed in sensor-less approach and implements to tracks the continuous changes of speed. This estimated speed is used to initiate the rotor position, and hall commutation signals predicted from the rotor angle. The performance of sensor less BLDC motor with low voltage operation which expresses high efficiency at low cost and reduction in torque ripple are verified using MATLAB/Simulink.
Design of Wideband Resonant Cavity Antenna using Particle Swarm Optimization
Authors:   Dept. of Electronics & Comm. Engineering, Netaji Subhash Engineering College, Kolkata, India., Dutta* Koushik , Chatterjee Anirban ,   Dept. of Electronics & Comm. Engineering, Netaji Subhash Engineering College, Kolkata, India., Chakrabarti Satyajit ,   SAMEER Kolkata Centre, Kolkata, India., Bhunia Sunandan ,   Dept. of Electronics & Comm. Engineering, Central Institute of Technology, Kokrajhar, Assam, India.
Published: February 2020

A wideband optimization technique of a Resonant Cavity Antenna (RCA) is demonstrated using a very simple and efficient Particle Swarm Optimization (PSO) approach. The proposed optimization method appears to be attractive as it is driven conveniently by a commercial EM-simulator. This may be treated as a 70-dimensional as well as a wideband optimization problem to optimize ten antenna parameters. The proposed technique offers maximum about 17.6 dBi broadside gain using the optimally designed antenna. The peak-gain is maintained above 11 dBi over the 50% antenna bandwidth.
Performance of Photocatalytic Concrete Blended with Artificial Sand and Iron Shavings
Authors:   Department of Civil Engineering, Sathyabama Institute of Science and Technology, Chennai -119, India, Satyanarayana* D. , Padmapriya R. ,   Department of Civil Engineering, Sathyabama Institute of Science and Technology, Chennai -119, India
Published: February 2020

Summary: This paper deals in the midst effect of M-sand usage instead of fine aggregate, TiO2 and iron shavings in terms of volume of concrete to improve the tensile nature of the concrete material. At present larger part of the structures built with solid material namely concrete. Concrete is a composite material arranged by including pounded rocks as course total, normal sand burrowing from conduits as fine total ,bond or lime as restricting material and adequate measure of water at specified extents to shape gel. Nowadays the quality of natural sand is degrading and digging at higher depth in water ways leads to land sliding etc. The atmosphere is being polluted due to the harmful gases and toxic byproducts that are released during the production of cement. The present research deals with finding the alternative material for minimizing the problems caused by fine aggregate and binding material. In this context, we are working by means of the stand-in of usual sand by means of manufacture sand producing from crushing of larger boulders into fine particles of required size in cubical shape in various percentages such as 20%, 40%. … (Volume batching) till occurring optimum percentages. At M-sand optimum percentage, we are partially replacing TiO2 instead of cement in various percentages such as 4%, 8%… in addition to that we are adding Iron shavings to concrete volume to improve tensile nature of the conventional concrete
Prediction of Software Design Defect using Enhanced Machine Learning Techniques
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., C* Karthikeyan , Chandra Makineni Vinay ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Nadh Jaswanth Santhosh ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Nikitha Mellempudi ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: February 2020

Prediction of software detection is most widely used in many software projects and this will improve the software quality, reducing the cost of the software project. It is very important for the developers to check every package and code files within the project. There are two classifiers that are present in the Software Package Defect (SPD) prediction that can be divided as Defect–prone and not-defect-prone modules. In this paper, the merging of Cost-Sensitive Variance Score (CSVS), Cost-Sensitive craniologist Score (CSLS) and Cost-Sensitive Constraint Score (CSCS). The comparitive analysis can be shown in between the three algorithms and also individually.
Emotional, School Environment and Intelligence Academic Achievement of Secondary School Students
Authors:   Assistant Professor, Alagappa University, Karaikudi, Tamil Nadu, India., Mathialahan* V. , Govindarajan Dr. K. ,   Assistant Professor and Research supervisor, Department of Education, Alagappa University, Karaikudi, Tamil Nadu, India., Nandhakumar R. ,   Assistant Professor, Alagappa University, Karai-kudi, Tamilnadu, India., T Balasubramanian ,   Assistant Professor, Alagappa University. Karai-kudi, Tamil Nadu, India., Sivannatham R. ,   Assistant Professor, Alagappa University, Karaikudi, Tamil Nadu, India.
Published: February 2020

Purpose – In the present century the need and importance of understanding the emotional intelligence of the learner has been grown among the educationists. This is especially true and more prevalent in professions that require the employees to be highly emotionally intelligent such as in the teaching profession. In this study Emotional Intelligence, School Environment and Academic Achievement of secondary school students was probed to find the relationship between and among Emotional nature, School climate and outcomes of standard IX and X students. Methodology - In this study the Emotional Intelligence Questionnaire, School Environment Scale (SES) is used. The investigator used stratified random sampling technique for selecting the sample. The study will adopt a Normative Survey Method. The variables studied are the Emotional Intelligence, School Environment and Academic Achievement. Emotional Intelligence Scale developed and validated by the Balasubramanain and Shanty in 2005 is used for the study. Further School Environment questionnaire developed and validated by the Shanty Jose 2009 is used for the study. The academic achievement scores obtained by the student is used for analysing the learning outcome. Findings - Finding shows from the study shows that there is a high level of Emotional Intelligence, school environment and academic achievement of secondary school students. No significant differences found between and among Emotional Intelligence, School Environment and Academic Achievement with respect to the variables gender, class, type of institutions, locality and medium of instruction. There is a significant relationship exists between and among Emotional Intelligence, school environment and academic achievement and its sub variables. Significance - Emotion as the basis of all behaviours and activities and so is directly related to all human nature and achievements. Emotions are source of motivation, source of learning,source of strength and endurance to body. Emotional intelligence is being able to understand one's one behaviour and to use this to guide their action. Understanding the emotional intelligence of learner will help to analyse the academic performance of individual learner and to provide them useful support.
Power Quality Issues in IEEE 14 Bus Ring Main System with Integration of Renewable Distributed Generation
Authors:   Department of Electrical & Electronics Engineering, NIE-IT, Mysore., S.* Rekha , V. Dr. Archana N. ,   Department of Electrical & Electronics Engineering, NIE-IT, Mysore.
Published: February 2020

In order to have a sustainable electrical energy, reduction in environment pollution and to improve energy efficiency integrating distributed generation (DG) will be desirable in fulfilling the modern societal energy needs. On the flip side their integration to the grid strikes the major technical challenges. This paper addresses the power quality issues of IEEE 14 bus system during the penetration of PV and wind farm with different loads under fault condition for both grid and islanded mode.
Bharat Stage IV to VI -Challenges and Strategies
Authors:   Research Scholar, Department of Commerce, Christ (Deemed to be University) Chennai, India., Pothumsetty* Mr. Rohan , Thomas Dr. Mary Rani ,   Assistant Professor, Department of Commerce, Christ (Deemed to be University) Chennai, India.
Published: February 2020

Bharat stage VI emission norms are the sixth stage for vehicular emissions in India. The BS-VI emission norms are much needed for a country such as India to keep the pollution in check. BS-VI norms are stricter and more restrictive in terms of BS-IV norms allowing for cleaner air and also less pollution in the process. The new BSVI emission norms would require both the automobile sectors as well as oil companies to make advancements and changes to their respective products. For the best results and for the better performance of the car the BSVI based engines will have to run on BSVI fuel. The new generation modern engines which are running on low-quality fuels will emit more toxic gases compared to that generated by the BSIV engines. The modern age engine blueprints usually require low Sulphur content to maintain a strong performance. This research aims at comprehending information on a new perspective of understanding the concept and how helpful it will be in understanding the shift from BHARAT STAGE IV TO VI for various stakeholders. Followed by strategies adopted by top five Indian based car manufactures.
Machine Learning Model for Prediction of Diabetes Mellitus
Authors:   Research Scholar, Department of Computer Science Shivaji University Kolhapur, Maharashtra, Mastoli* Manjiri Mahadev , R. Pol Dr. Urmila ,   Assistant Professor, Department of Computer Science, Shivaji University Kolhapur, Maharashtra, India, D.Patil Mr.Rahul ,   Quality Assurance Engineer, Menon Bearing Ltd, Kolhapur, Maharashtra
Published: February 2020

Today world is extensively affected by endocrine disease Diabetes Mellitus which is commonly known as diabetes. There is a need for an effective model which can predict diabetes and its types at the early stages with accuracy. To improve the accuracy of prediction and to achieve better efficiency, a new Machine Learning based Model (MLM) is proposed. This Machine Learning Model (MLM) has ability to predict the diabetes and its categories as type 1, type 2 and Gestational diabetic with which the patient is suffering from. The proposed Machine Learning Model is innovative for diagnosis of diabetes is more accurate as compared to other existing approaches.This is a novel method from which one can combine power of an expert system with the machine learning environment.
Effect of Composition on Impact and Flexural Properties of Hybrid Glass Microballoons/Fly Ash Cenosphere Filled Vinyl Ester Matrix Syntactic Foams
Authors:   Department of Production Engineering, K.I.T.'s College of Engineering (Autonomous), Affiliated to Shivaji University, Kolhapur-416234 (MH) India., Patil* Amol N. , Kubade* Pravin R. ,   Department of Production Engineering, K.I.T.'s College of Engineering (Autonomous), Affiliated to Shivaji University, Kolhapur-416234 (MH) India., Kulkarni Hrushikesh B. ,   Department of Mechanical Engineering, N.B.N. Sinhgad College of Engineering, Solapur-413255 (MH), India.
Published: February 2020

Syntactic foams are porous particulate composites fabricated by mixing hollow particles called micro-balloons into a matrix material such as metal, polymer, ceramic etc. Fillers i.e. micro balloons are used to decrease the amount of expensive matrix material and/or to enhance or tailor some properties of matrix materials. The different variations in density and properties of syntactic foam could be obtained by changing the material, volume fraction and/ or density of micro balloons. Here the hybrid syntactic foams were synthesized by adding two different filler materials that are hollow glass microballoons and flyash cenospheres into vinyl ester matrix. Two types of hybrid systems are created one with 50% total filler content and another with 60% total filler content in a matrix whereas, within these hybrid systems an internal composition of two fillers were varied in a step of 25 vol% with respect to each other. Hybridization of two different types of ceramic microballoons in vinyl ester matrix gives maximum 111% increase in impact strength with respect to plane hollow glass microsphere syntactic foam. Hybridization also causes lncrease in flexural strength and Flexural modulus by 39% and 58% respectively.
Grid Variables Synchronization using Optimization Algorithm for Distributed Generation System under Grid Fault Conditions
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, Sri Sairam Engineering College and Research Scholar, Anna University ,Chennai, India., Christopher* Alwin Vinifred , Rengaswamy Dr. Ramesh ,   Professor, Department of Electronics and Communication Engineering, Saveetha Engineering College, Anna University, Chennai, India., P Prakash ,   Associate Professor, Department of Electronics and Communication Engineering, Sri Sairam Engineering, Anna University,Chennai, India College.
Published: February 2020

Power system has electrical energy as the vital part the energy can be acquired from the sustainable and non-sustainable sources like solar, wind, biomass, water, and coal, nuclear, oil, thermal respectively. In past the synchronization is the real issue because of the time utilization for the estimation of grid variables. In this work the solar based distributed generator is considered for the analysis. The grid connected photovoltaic framework, the grid can expend the energy from the photovoltaic panel and distribute the energy when the dark condition. The grid and PV framework can go about as a distributed energy sources. In this paper the grid associated PV system with the novel PR controllers are proposed to provide quick synchronization process and the hybrid swarm cuckoo search optimization algorithms (HSCS) is used to pick the best parameter to generate control pulses. The demonstration is done under the SIMULINK model. The performance PI,PID and Proportional Resonant (PR) controller with cuckoo search optimization algorithm are analyzed separately and found better solution for the problem stated.
Pattern Recognition using Convolutional Neural Network for Handwritten Gujarati Numerals
Authors:   Assistant Professor, Department of Computer Engineering, Rajarshi Shahu College of Engineering, Tathawade, Pune, India, Upadhye* Gopal D. , Shirsat Sanika ,   Pursuing M.Tech, Department of Computer Engineering, Savitribai Phule Pune, India., Pandit Komal ,   B.E, Department of Computer Engineering, Savitribai Phule Pune, India., Shirsat Sayali ,   B.E Department of Computer Engineering, Savitribai Phule Pune, India., Sonawane Megha ,   B.E, Department of Computer Engineering, Savitribai Phule Pune, India
Published: February 2020

Day-to-day technology is going in no time, digital acknowledgement are taking part immensely and providing additional scope to perform scrutiny in CNN techniques. Recognition of Gujarati transcribed numeral is difficult compared to different western numerals. However, several analyzers have provided real time answer for transcribed Gujarati numerals. This paper represents acknowledgement of transcribed Gujarati digits which enhances Convolutional Neural Network. Current analysis offers several solutions on Gujarati handwritten documents analysis and reasonable accuracy for concerning transcribed digit recognition.
Mechanical Strength Characteristics of Ternary Blend Geopolymer Concrete with Steel Fibres under Ambient Curing
Authors:   Research Scholar, Dept. of Civil Engineering, National Institutes of Technology, Trichy, India., D* Leela , S Dr. Manjula. ,   Asst Professor, Dept. of Civil Engineering, National Institutes of Technology, Trichy, India.
Published: February 2020

As the concrete industry continues to expand, the changes and design of infrastructure is given due insight owing to the current trend. The demand for special concrete is thereby increased. In this present experimental work, production of concrete aims at achieving a strength of 50 N / mm2. Here, cement is replaced by fly ash, GGBS and metakaolin at the nominal proportions integrated with steel fibers in percentages of 0.5, 1 and 1.5 by volume of concrete. Steel fibers used are crimped in shape of aspect ratio 66. Concrete being soft in tension and strong in compression is designed to combat the pressure generated. This will render concrete where tension is resisted by steel fibers. Mix proportion for ternary blend geo polymer used in this study consists of 25% fly ash, 60% GGBS and 15% metakaolin. GGBS and low calcium-based fly ash supplied by the local thermal plant are utilised. At 1.5% of the integration of steel fibers, the highest increase in strength was reported. The introduction of steel fibers showed a good improvement in flexural, compressive and split tensile strength. Out of the three mixes, the one with 1.5% steel fibres, which was the maximum percentage added, showed the best result. Split tensile strength was found to improve by 9% and flexural strength by 73%, which is a commendable result. On the contrary, the Modulus of elasticity showed a decline in its value. A reduction of 13.2% was observed for steel fibre content of 1.5%. It can therefore be concluded that geo polymer concrete with steel fibres has improved ductile properties, besides which, it help in reducing the carbon footprint due to emission of carbon dioxide and carbon monoxide produced by the cement industry.
Wavelet Transform Implementation to Differentiate Inrush Current and Fault Current in Power Transformer
Authors:   Assistant Professor, Department of Electrical and Electronics Engineering , Gitam School Technology Bengaluru Campus. India., Venkateshnaik* Mr. B. , Rokdae M. Ms. Navyashree ,   Assistant Professor, Department of Electrical and Electronics Engineering, Rao bahadur Y Mahabaleshwarappa Engineering College, Karnataka, India.
Published: February 2020

An electrical system is al complex network, to enhance power generation, transmission and distribution transformers play an important role. Power transformer is the heart of the electrical system. Even though electrical power is generated at lower rate in the coastal areas, it can be transmitted easily over hundreds of kilometer with the help of power transformer. So there must proper protection should given to power transformers. But in order to give the proper protection there should be proper discrimination between internal faults and inrush current. If there is no proper differentiation between faults and inrush current phenomena than the protection circuit will not trip when inrush current comes into the picture. But the protection circuit will trip at faster rate than the actual one when the normal faults or internal faults come into the picture. So there should be proper discrimination between inrush current and internal fault current so that the protection circuit will work properly. There are so many techniques available to get differentiation between inrush current and fault current. Fast Fourier transform is one of the method to differentiate between these two currents. Here we are using wavelet transform technique to get the difference between these two currents. The properties of the inrush current obtained from this technique are accurate and distinct from those obtained from the fast Fourier transform. The experimental set up is carried out in matlab simulink and results were discussed as shown below in results.
Dimpling of CR4 Sheet and Its Parametric Optimization using Taguchi method
Authors:   Research Scholar, Department of Mechanical Engineering, G. H. Raisoni College of Engineering and Management, Pune, India, Waghmare* G. S. , Arakerimath R. R. ,   Faculty, Department of Mechanical Engineering, G. H. Raisoni College of Engineering and Management, Pune, India.
Published: February 2020

Dimple sheet is formed using cold rolling or press braking process. Wider use of dimple sheet in various fields may create interest in the study of dimple sheet. This paper describes a numerical modeling approach and results into the mechanical property. A mechanical tensile test on plain sheet and dimpled sheet CR4 steel material were conducted for evaluation of numerical results. A finite element explicit dynamic analysis approach is used to simulate the tensile test. Tensile tests are carried out as per orthogonal array of Taguchi method. True stress–strain data obtained from tests were used to optimize the process parameters, this could correlate to the increase in the strength of the dimpled sheet as observed in experimental tests and simulations.. The process parameters of dimple forming such as dimple depth, dimple diameter and distance between dimples are analyze for strength of sheet on CR4 steel material. Design of experiments is implemented for to optimize process parameters by using a Taguchi method design. The effect of the process parameters on response have studied by means of main effect plots which are developed by SN ratio and optimum parameter is selected on the basis of signal to noise ratio.
Application of a Recurrence Matrix to Cryptography using Genetic Algorithm
Authors:   Research Scholar in the Department of Computer Applications (MCA) at SRK University, Bhopal, India, Mandle* Amit Kuma , Namdeo Varsha ,   Associate Professor in the Department of Computer Science and Engineering at SRK University, Bhopal, India
Published: February 2020

The aim of this paper is to develop an algorithm for encryption and decryption of a message involving recurrence matrix and genetic algorithm. In this approach secrecy is maintained by using of genetic algorithm. The proposed algorithm solves various problems that we are facing now days. Thus in this paper, with the help of recurrence matrix and genetic algorithm a secret sharing scheme is established, which is designed for encryption that maintains the secrecy of the information.
A Fuzzy Modelling for Selection of Machining Parameters in Wire Electrical Discharge Machining of D2 Steel
Authors:   Department of Mechanical Engineering, Centurion University of Technology and Management, Odisha, India., Patro* Santosh , Harish I ,   Department of Mechanical Engineering , DNR College of Engineering and Technology, Andhra Pradesh, India., Rao P Srinavasa ,   Department of Mechanical Engineering, Centurion University of Technology and Management, Odisha, India.
Published: February 2020

Wire Electrical Discharge Machining (WEDM) is a widely used non-traditional machining process used for machining of hard and difficult-to-machine materials. Proper selection of machining parameters in WEDM is required for better output performance, such as Material Removal Rate (MRR), Wire Wear Rate (WWR) and Surface Roughness (SR) etc. In the present paper, Pulse ON time, Pulse OFF time, Peak Current, Spark Voltage, Wire Feed and Wire Tension were taken as the input parameters to optimize MRR, WWR and SR. A set of 27 experiments were performed as per Taguchi Design. A Fuzzy model has been proposed to select the optimum values of machining parameters. The proposed fuzzy model was found to predict the experimental values with more than 90 percent accuracy.
Prediction of Land Cover Change in Bodetabek Area using Remote Sensing Technique
Authors:   Department of Computer Science BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Matitaputty* Gilbert Alessandro , Puspita Marisya Desi ,   Department of Computer Science BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Isa Sani Muhamad ,   Department of Computer Science BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Published: February 2020

There are many parts of the world that have been affected and changed because of humans activities. Land use/cover change (LULC) is one them. Monitoring and forecasting changes of LULC is very important which aims at development of conservation and sustainable utilization, one them is urban land use plan. In this study the main objective was to analyzed and forecasted land cover changes that will happen in the future based on historical changes which happened 11 years before. To achieve the goals, there are 11 years (2007 to 2017) of remote sensing images (MODIS MCD12QI V6) from Bodetabek area which has been classified into 16 classes based on University of Maryland classification scheme (UMD) and has been processed in several stages to be use as the dataset. There are view of method has been use to finished the experiment, change detection method has been used to computed the data to be analyzed and forecasted used least squares method.
DSS Model for the Adipura Trophy
Authors:   School of Information System, Bina Nusantara University 11480 West Jakarta, Indonesia, Inayatulloh*
Published: February 2020

Every year the Indonesian government presents challenges to the regional and city governments to obtain the adiputra trophy. The Adipura Cup is given to the municipal and regional governments in Indonesia who meet several requirements such as cleanliness, beauty, peace and several other criteria. During this time the criteria assessment process is done manually and this research aims to create a Decision Support System to help provide an assessment of the Indonesian government to determine the winner of The Adipura trophy. The research method uses Analytical Hierarchical Processing (AHP) The results of this research are DSS models for The Adipura trophies. The conclusion of this research is that the resulting model facilitates the process of selecting the The Adipura cup.