bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Reinforcement Oxides on Structural and Mechanical Properties of Glass-Ceramics: A Review Article
Authors:   Department of Production, Faculty of Technology and Education, Sohag University, 82515 Sohag, Egypt., Ali Amr , Abdelwahab Sabreen Abdallah ,   Production Technology Department, Faculty of Technology and Education, Helwan University, Saray El-Quba, 11281 Cairo, Egypt., Abdelwahed Khaled ,   Automotive and Tractors Technology Department, Faculty of Technology and Education, Helwan University, Saray El-Quba, 11281 Cairo, Egypt., Ahmed Ibrahim ,   Automotive and Tractors Technology Department, Faculty of Technology and Education, Helwan University, Saray El-Quba, 11281 Cairo, Egypt., Ali Ahmed I. ,   Department of Basic Science, Faculty of Technology and Education, Helwan University, Saray El-Quba, 11281 Cairo, Egypt.
Published: April 2021

This review studied the mechanical behaviors of Glass ceramics (GC) based on the Al2O3/SiO2 system. Glass ceramics are great interest due to their wide variety of applications, which have the ability to fulfil the recent demands of advanced mechanical, optical and biomedical applications. Glass-ceramics are typically heat-stable and have greater mechanical features than glasses. In addition, mechanical properties can be customized to provide variable volume fractions of crystalline phases by regulating nucleation and growth of the crystalline phases. The distribution of these crystalline phases in the glass matrix increases the consistency of the material and, in comparison, effectively limits the growth of cracks. The crystallization process resulted in substantial improvements in micro-hardness and density values such as sodium calcium phosphate (Na4Ca(PO3)6 and calcium pyrophosphate (β-Ca2P2O7) had sufficient properties for bone grafts and dental applications. This article outlines recent developments in the field of doping Oxides as reinforced with SiO2-Al2O3-based Glass- ceramics, to enhance the mechanical properties of Glass-ceramics combination. The research focused on the mechanical and the tribological behaviour of Biomedical, Electronics applications and selection of fabrication methods.
Improvisation of Machining Parameters for Better Surface Finish of MMC Material using Taguchi Method
Authors:   Department of Mechanical Engineering, D.N. Patel College of Engineering, Shahada (Maharashtra), India., Patil Mr. Sandeep Suresh , Chavhan Prof. Harichandra K. ,   Assistant Professor, D.N. Patel College of Engineering, Shahada (Maharashtra), India., Patil Prof. Umesh U ,   Assistant Professor, D.N. Patel College of Engineering, Shahada (Maharashtra), India., Patel Prof. Nilesh Damodar ,   Assistant Professor, D.N. Patel College of Engineering, Shahada (Maharashtra), India.
Published: April 2021

Metal matrix composite is used in engineering applications due to its superior mechanical properties. MMC’s are reinforced with particle fiber, whisker, and particulate. The size of particulates used is classified as micro, nano, and macro. The particulate reinforced MMC’s have excellent form-ability compared to fiber and whisker composite. Metal matrix composite has outstanding wear, heat resistance, and excellent mechanical properties. Many authors have been stated the property as its ability of workpiece material to be machined or it refers to workpiece response to machining or it is normally applied to the machining properties of work material or it indicates how easily and fast a material can be machined. MMC materials are difficult to machine with a superior surface finish. In this study Al6061 with Silicon Carbide and Graphite are fabricated with 5 weight % using squeeze casting route. Tensile strength and hardness are tested according to ASTM standards and as a result, there was an increase in tensile strength and hardness of MMC. Machining process parameters plays a vital role in defining surface roughness. This machining parameters are to be optimized to get the better surface finish results. Taguchi techniques is used. To optimized the machining parameters affecting machining of MMC for surface roughness are identified. Orthogonal array L9 was selected based on three parameters with three levels. There is a vital role played by the feed rate in increasing the surface roughness of the material. Relevant process parameters considered for a better roughness of the surface are, cutting speed 300RPM, the rate of feed 0.13 mm/rev, and the depth of cut 0.4mm.
Good Governance Combination of Local Governance and E-Governance: A Conceptual Framework
Authors: D Shyamala
Published: April 2021

Our nation has the longest written constitution but the implementation of the Local Governance has been transferred and their efficiency has properly monitored or rectified by the state and central government. This is conceptual research has been done in the implementation process. This research mainly focused on quality of life. The Lack of Implementation process is connected with resource exploitation. Resource exploitation has two type’s human resource exploitation and natural resource exploitation. The directly three systems are connected with sustainable development but overall development left without because of bureaucratic, social leaders, and Knowledgeable people this research is not critical research but this research has a starting point for many reformations. This concept has defined implementation process is not based on rule of law it should be considered by social issues and clearly instructing for the proper implementation process and reduce the level exploitation and monitoring the unethical professionals and their rectification processing time will be less. This concept has separated no proper implementation process and improper implementation and analyzing the important factors for the proper implementation process. The factors like misuse of power and inefficiency should not affect the proper implementation process. The result of the lack of implementation process is organized resource exploitation. This plan will reduce the worst handling of decentralization process may be a strong reason for the lack of implementation process will directly connect with the organized resource exploitation. This research focusing on the efficiency and equity of the governance strongly insisted people should train by the local governance free from favoritism, partial’s and nepotism, this plan has look into transforming the local governance. It will solve prolonging and procrastination in their issues It will reduce the organized crime result of lack of implementation process. Identify the exploiter or victim. The idea will combine the education system Social system and governance syste into one roof. To analyze all type of social issues and protect the weaker section.
Implication of Mining to Health in Maiganga Coal Mine, Gombe State, Nigeria
Authors: CO Amosu , C.S.A. Enitan , C.S.A. Eniola
Published: April 2021

Operations of mining are large industrial scale in nature, with significant environmental impacts. The mining industry generates and produces wastes containing high concentrations of metals and metalloids which are highly toxic and destructive to the immediate landscape and environment. In addition, the continued use of the traditional methods of mining intensifies the emission of toxic and products that are not friendly to the ecosystem.. Even regulated and controlled mining sites release toxins into the surrounding environment. While mining has prospects and benefits to the economy, both in terms of its own economic impact and the value to other industries of its product, it almost always has adverse environmental impacts and eventually health impacts. There are numerous ways in which mines impact the health of nearby environments and local communities. Mining involves some generally standard processes and practices. This paper considers the effects and harm done to living things around the mine location. By understanding mining’s threats to health and long-term well-being and by taking precautions to reduce harm in all mines, miners and other people in mining communities can better protect their health and improve their lives. This research will address questions like: which are the toxic substances causing health problems in Maiganga Coal Mine? What is the challenging impact of toxic substances in Maiganga coal Mine?
Relevant Interactive Learning Strategies Needed for Training of Polytechnic Pre-Service Technicians for Diagnosis and Repairs of Modern Automobiles in North-Eastern Nigeria
Authors: Babayo Yakubu Adamu , Babawuro Shuaibu , Maigana QS Adamu Abdulkadir , Umar Magaji
Published: April 2021

The main purpose of this study was to determined competency training needs of polytechnic Pre-service technicians for diagnosis and repairs of modern automobiles in NorthEastern Nigeria. The study sought to answer two research questions using Competency Outcome Performance Assessment (COPA) model framework. It is paramount importance to note that competency training needs of diagnosis and repairs of modern cars requires practical and effective training skills to be able to adequately repair them. A descriptive survey research design was adopted for the study. The population for the study was made up of 384 technicians in automotive technology in the NBTE accredited polytechnics in Northern Nigeria. Out of 384 a sample of 192 was randomly selected for the study. The questionnaire consisted of 192 tasks on diagnosis and repairs skills needed, developed with reference to curriculum of National Automobile Technician Education (NATE) and National Vocational Certificate in Automotive / Mechatronics approved by National Board for Technical Education. The questionnaire was divided into two sections: A & B, (see Appendix I). Section A contains items designed to obtain personal information of the respondents, while section B is divided into four sub-sections (I, II, III & IV). The instrument was developed using COPA Model structure, adapted from Lenburge et al (2009). A four-point rating scale ranges from Highly Needed (HN) = 4, Needed (N) = 3, Moderately Needed (MN) = 2, Least Needed (LN) = 1 was employed in sub-section I, while four-point rating scaled ranges from most relevant (4), highly relevant (3), moderately relevant (2) and less relevant. A reliability test of the instrument was also conducted and analyzed using Cronbach Alpha coefficient method and yielded an overall reliability coefficient of 0.80. Data generated from the use of the questionnaire was analyzed with Statistical Package for Social Sciences (SPSS) 23rd version software using mean and standard deviation to answer the research questions. Findings revealed relevant interactive strategies needed in the training of polytechnic Pre-service Technicians in diagnosis and repairs of modern Automobiles. Based on the findings of the study, appropriate recommendations were made, among which is, that the identified modern technology skills should be integrated into the curriculum of Automotive Technology programme in Nigerian polytechnic. Identified interactive skills will help lecturers in developing lesson plan using the competencies that are essentially needed by Pre-service automotive technicians in order for them to prepare on how to teach them appropriately.
Discovery of New Theory Analysis of Equilibrium Point Population Versus Food on Theory of Thomas Robert Malthus and Its Development (Case Study of Indonesia)
Authors:   M.T, LLDIKTI IX Lecturer, Homebase at STMIK Dipanegara, Technical Information, Makassar, Indonesia., Kasau Dr. Matius Irsan , Ghani ST. Aminah Dinayati ,   S. Sos., M. Kom, STMIK Dipanegara, Technical Information, Makassar, Indonesia.
Published: April 2021

The future of humans on this tiny planet earth has entered a grim beginning in the midst of rapidly growing technological progress. How not, human life whose population is growing fast is not comparable to food as a source of life that grows slowly. This study aims to calculate the cross point or equilibrium point between population and food using the population series and food series of Thomas Robert Malthus original and the results of its development by Matius Irsan Kasau. The data and methods used are types of secondary data sourced from the Indonesian Central Statistics Agency (BPS), which is processed by a mathematical method that compares the population with food in each series. The results of research with Indonesian data in 2010 showed that for the original Malthus theory with the number of children on average per couple of 4 people, the distance between generations 25 years, 75 years of life expectancy, population 237 million, food 66.5 million tons obtained equilibrium point occurred in 2085, namely in the third generation. As for Malthus’s theory of development results with an average number of children of 2.6 people, a distance between 23 years generation, and 69 years of life expectancy, the equilibrium point was obtained in 2171, namely the seventh generation of the current generation.
Tensor Data Imputation by PARAFAC with Updated Chaotic Biases by Adam Optimizer
Authors:   Computer Science & Applications from Department of Computer Science & Applications, Kurukshetra University, Kurukshetra., Choudhary Pooja , Garg Kanwal ,   Assistant Professor at Department of Computer Science & Applications, Kurukshetra University, Kurukshetra.
Published: April 2021

The big data pattern analysis suffers from incorrect responses due to missing data entries in the real world. Data collected for digital movie platforms like Netflix and intelligent transportation systems is Spatio-temporal data. Extracting the latent and explicit features from this data is a challenge. We present the high dimensional data imputation problem as a higher-order tensor decomposition. The regularized and biased PARAFAC decomposition is proposed to generate the missing data entries. The biases are created and updated by a chaotic exponential factor in Adam’s optimization, which reduces the imputation error. This chaotic perturbed exponentially update in the learning rate replaces the fixed learning rate in the bias update by Adam optimization. The idea has experimented with Netflix and traffic datasets from Guangzhou, China.
Implementation of Low Pressure Water Mist System for Fire Suppression inside a Model of Road Tunnel
Authors:   Firefighting systems, Turbo-Machines and Fluid Mechanics in Mechanical Power Engineering – Helwan university, Egypt., Sadek Prof. Dr. Hatem , Alenezi Mohammad H. ,   Firefighting systems, Turbo-Machines and Fluid Mechanics in Mechanical Power Engineering – Helwan university, Egypt., Ismail Mostafa A. ,   Firefighting systems, Turbo-Machines and Fluid Mechanics in Mechanical Power Engineering – Helwan university, Egypt.
Published: April 2021

Previous studies have proven the performance of certain water mist system in general or in suppressing certain tunnel fires. The southern tunnel under the Suez Canal in the province of Ismailia length of 4 kilometers and 800 meters is serving the movement from Ismailia to Sinai through the Suez Canal old and new, while serving the northern tunnel movement from Sinai to Ismailia through the two channels. This tunnel in Ismailia is the largest in the world, with outer diameter of 12.6 meters, the internal 11,40 meters, the length of the tunnel is 4830 meters and reaches 6830 meters with the entrances and exits, the distance between the north and south tunnels 12 meters, and the maximum depth of the tunnel 45 meters down both Suez Canals. Since completing this project in the begin of 2019, this Tunnel did not experimentally test. This paper describes an experimental study of a low-pressure water-mist system (LPWMS) used in a scaled fire test conducted in a section of a scaled down road tunnel. The length, width, and height of the tunnel were 6 m, 2.4 m, and 2 m, respectively, which are in a ratio of 1:4 to the dimensions of an actual tunnel. The LPWMS used a pump pressure of 5.5 bar, and the system configuration was designed according to the pressure generated by the pump. Without a ventilation fan, the fire suppression time was 275 s, and amount of water required to fully suppress the fire was 696.67 L. When a ventilation fan was used, the maximum temperature location was moved from the center of the 6 m long tunnel toward the air inlet end of the tunnel (upstream). While this study will find the performance of the LPWMS in suppressing a fire in a small section of the Ismailia tunnel, determining the times spent and the amount of water consumed in the various stages of fire suppression, and in addition to studying the effect of the ventilation fan on These results and the location of the maximum temperature in the tunnel.
A Novel Approach for Healthcare Information System using Cloud
Authors:   Assistant Professor, Department of Information Technology, Panimalar Institute of Technology, Poonamallee (Tamil Nadu), India., Jeena R. , Dhanalakshmi G. ,   Associate Professor, Department of Information Technology, Panimalar Institute of Technology, Poonamallee (Tamil Nadu), India., Sherly S. Irin ,   Assistant Professor, Department of Information Technology, Panimalar Institute of Technology, Poonamallee (Tamil Nadu), India., Ashwini S. ,   Assistant Professor, Department of Information Technology, Panimalar Institute of Technology, Poonamallee (Tamil Nadu), India., Vidhya R. ,   Assistant Professor, Department of Information Technology, Panimalar Institute of Technology, Poonamallee (Tamil Nadu), India.
Published: April 2021

The main objective of this paper is to outline a Cloud Computing based Healthcare Information System that helps bridge the gap between various hospitals, patients and clinics by creating a central hub of patient details and health care history that is accessible via two interfaces- either the mobile app or the web application.
Feasibility of Nitrate Removal using Hydroxylamine Hydrochloride from Sundarijal River Water through a Laboratory Scale
Authors:   Tri-Chandra Multiple Campus, Tribhuvan University, Ghanta Ghar, Kathmandu, Nepal., Karki Bhishma , Nakarmi Jeevan Jyoti ,   Central Department of Physics, Tribhuvan University Kirtipur, Kathmandu , Nepal., Dhobi Saddam Husain ,   Robotics Academy of Nepal, Lalitpur, Nepal. Innovative Ghar Nepal, Lalitpur.
Published: April 2021

Sundarijal River supply drinking water in Kathmandu city, Nepal and to study the nitrate concentration, 10 different sample from different locations of the Sundarijal River was taken. The method for the removal of presence nitrate in River was tested using hydroxylamine hydrochloride dose at 25±20C with 35 minutes contact time. Samples was tested for different dose of hydroxylamine hydrochloride and reduction of nitrate increase with increasing hydroxylamine hydrochloride dosages, up to certain limit. That mean with 0.5g, 0.6g and 0.8g dosages of hydroxylamine hydrochloride, reduction of nitrate was not observed when tested with 10mg/L, 50mg/L and 100mg/L river water, orderly. This tested samples shows the feasibility of nitrate removal from River water, Sundarijal.
Smart Internet of Things Based Induction Motor Parameter Monitoring and Control System
Authors:   Department of Computer Science & Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore (Tamil Nadu), India., ME Ms. M.Ambika , Madhunisha Ms. M. ,   Department of Computer Science & Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore (Tamil Nadu), India.
Published: April 2021

Automation is the use of various control systems for operating equipment such as machinery, processes in industries such as boilers and heat treating ovens, switching on telephone networks, steering and stabilization of ships, aircraft and other applications with minimal or reduced human intervention. This research paper presents advanced approaches using wireless monitoring system for induction motor based on Internet of Things (IoT) for safe and economic data communication. n the first approach, state of the art fault detection strategy is exhibited for induction motor. This research paper depends on the assessment of measured voltage, current, earth leakage, rotor status and speed. Progressed embedded strategy and utilized to isolate and survey the disappointment seriousness. In this procedure, distinctive sensors are associated with the motor, and the quantities are extracted by utilizing a microcontroller. The Graphical User Interface (GUI) with cloud server IoT is used to transmit the data from base station to remote station. This arrangement allows the client to interface with the framework. The proposed research paper based induction motor control system is validated through the simulation in Raspberry Pi 3 environment.
Complicity of High-End SOC-FPGA’s for Data Centers
Authors:   Working as a Sr. Design Engineer, In Sion Semiconductors Private Limited, Bangalore, India., Kumar Retikal Anil
Published: April 2021

As the network traffic increasing significantly due to increase in Data streaming, Big Data Analytics, Cloud Computing, Increasing the load on Data Centers, Which leads to demand for high computational capabilities, low latency, high-bandwidth, power efficient data accelerators. As Re-Configurability of FPGA’s are more flexible for developing customized applications, so the FPGA hardware based data accelerators are the potential devices to achieve low latency and power efficient requirements. The modern FPGA’s are coming up with the embedded communication hard IP’s like PCIe, Ethernet, & DDR based memory controllers, which makes easy for the deployment of network attached FPGA’s in data centers. This paper presents the role of FPGA’s in datacenters and analysis of high-end FPGA’s by various vendors, which are suitable for deployment in data centers.
The Role of Bismuth on the Best Red Light Emitting Nanophosphors
Authors:   Department of Physics, School of Pure and Applied Physics, Kannur University, Payyanur., K Vini. , Padmakumar H. ,   Department of Physics, VTM NSS College, Dhanuvachapuram- Thiruvananthapuram, India., Nissamudeen K.M. ,   Department of Physics, School of Pure and Applied Physics, Kannur University, Payyanur, India.
Published: April 2021

This paper explains the role of bismuth in the luminescence enhancement of Y2O3:Eu nanophosphors prepared by Combustion method. Bi ions serve as effective sensitizers for visible emitting rare earths for Light Emitting Diodes. From the X-ray diffraction studies, bismuth co-activated nanophosphors exhibit an early crystallization. Bismuth incorporation not only results in the luminescence enhancement at 612 nm, due to 5D0 to 7F2 transition but also reduces the processing temperature for intense photoemission.
Luminescence Study of Red Light Emitting Y2O3:Sm3+ Nanophosphors and Enhancement by Co-doping with Gadolinium oxide
Authors:   Department of Physics, School of Pure and Applied Physics, Kannur University, Payyanur, India., K Vini. , Padmakumar H. ,   Department of Physics, VTM NSS College, Dhanuvachapuram- Thiruvananthapuram, India., Nissamudeen K.M. ,   Department of Physics, School of Pure and Applied Physics, Kannur University, Payyanur, India.
Published: April 2021

This work presents the optical and structural properties of samarium oxide doped and gadolinium oxide co-doped yttrium oxide nanophosphors prepared by Combustion method. The photoluminescence emission intensity was maximum for 2wt% Sm3+ doped Y2O3 powders, that results 4G5/2 -6H7/2 transition within Samarium, emits red light at 608 nm under the excitation of 260 nm. In the case of co-dopant, maximum intensity is obtained for 3wt% Gd3+ under the excitation of 255 nm.The Y:Sm:Gd exhibit luminescence intensity of 4.21 times more than that of Y:Sm nanophosphors. These results indicate that the prepared nanophosphors can be used in optoelectronic devices.
Fluctuation Effect of Reservoir Water Level on the Seepage of Earth-Fill Dam
Authors:   Associate professor, Department of Water Resources Engineering, Faculty of Engineering, Universitas Brawijaya, Malang, Indonesia., Asmaranto R. , Sisinggih D. ,   Department of Water Resources Engineering, Faculty of Engineering, Universitas Brawijaya, Malang, Indonesia., Rastanto R.N.A ,   Undergraduate Program on the Department of Water Resources, Faculty of Engineering, Universitas Brawijaya, Indonesia.
Published: April 2021

Lots of dam failures are the result of uncontrolled seepage. The collapse of the Situ Gintung Dam in Tangerang, Banten-Indonesia in 2009 due to heavy rains caused the dam structure to collapse. This is due to increased pore water pressure in the landfill. To anticipate collapse due to uncontrolled seepage, it is necessary to monitor it based on the behavior of changes in rainfall and reservoir water levels. Seepage within the dam body is often monitored using instrumentation tools such as standpipe piezometer (standpipe piezometer) or electric piezometer. But often the piezometer cannot work properly because it is clogged, so it cannot monitor the condition of the seepage. Other instrumentations such as V-Notch are also used to measure seepage discharge. This study aims to determine the behavior of changes in the reservoir water level caused by changes in rainfall and its effect on body seepage of the earth-fill Type dam. By knowing the phenomenon of the behavior of the relationship between reservoir water infiltration and rainfall, it will obtain information on rainfall that endangers the dam which will affect the downstream. In this study, a case study of the Selorejo Dam was taken which has a large enough reservoir capacity of about 31 million m3 which is included in the Brantas River Basin. The results showed that 5 piezometers devices were damaged (SL 1, SL 2, SL 4, SL 6, and SL 7) where they could not read the phreatic water level properly, and 2 piezometers were less sensitive to reading fluctuations in reservoir water levels. namely SL 10 and SL 11 which showed R2 values of 29.78% and 39.4%, respectively. While the maximum seepage discharge is recorded at 1474 liters/minute, this is still below the critical discharge of 1630 liters/minute allowed for this dam, but this needs to be a concern, especially the discharge from toe drain from the left side seepage and C-area which is the leakage from the left support pedestal also contributes a larger discharge than other observation points.
An Enhanced Framework To Secure Big Data Based on Hybrid Machine Learning Technique ANN-PSO
Authors:   Department of Computer Science and Engineering, Model Institute of Engineering and Technology, Jammu, India., Qureshi Assoc. Prof. Salim Raza
Published: April 2021

With the advancement of smart devices and cloud computing, more and more public health data can be collected from various sources and analyzed in unprecedented ways. The enormous social and academic impact of this development has led to a global buzz for bigdata. Moreover, due to the massive data source, the security of big data in the cloud is becoming an important issue. In these days, various issues have arisen in the field of big data security, such as Infrastructure security, data confidentiality, data management and data integrity. In this paper, we propose a novel technique based on Artificial Neural Network-and Particle Swarm Optimization Algorithm (ANN-PSO) for enabling a highly secured framework. The ANN-PSO method was created to predict health status from a database and its functions were selected from these data sets. The particle swarm optimization algorithm matches the ANN for better results by reducing errors. The results show the potential of the ANN-PSO-based methodology for satisfactory health prediction results. This proposed approach will be tested using large medical data in a Hadoop environment. The proposed work will be carried out in the JAVA work phase.
Mine Waste as Resource: Indian Mining Scenario of Coal and Non Coal Mining Sector
Authors:   Department of Civil Engineering, Indian Institute of Technology, Kharagpur (West Bengal), India., Shom S. , Mhaske Dr. Sushil ,   Department of Civil Engineering, Indian Institute of Technology, Kharagpur (West Bengal), India., Pathak Dr. Khanindra ,   Professor, Department of Mining Engineering, Indian Institute of Technology, Kharagpur (West Bengal), India., Tiwari Dr. Manoj ,   Department of Mining Engineering, Indian Institute of Technology, Kharagpur (West Bengal), India.
Published: April 2021

Mother Nature has bestowed India with huge resources of coal, iron ore, bauxite, manganese and limestone. India has one of the lowest per capita availability of land due to population of more than 1.3 billion. The transformation from under developed to developed economy warrants enormous increase in mineral production. This will generate additional huge quantities of waste. The industry is already facing problems related to land acquisition and environmental clearances. Sustainable development of Indian mineral industry requires reprocessing, reuse and recycling of mine waste. To achieve this, economic and innovative mineral processing methods are required which will result in least damage to ecology and environment.
Identification of Power Quality Disturbance
Authors:   Research Scholar, Department of Electronics and Communication Engineering, University of Allahabad, Prayagraj (Uttar Pradesh), India., Srivastava Vijit , Khare Dr. Ashish ,   Associate Professor, Department of Electronics and Communication Engineering, University of Allahabad, Prayagraj (Uttar Pradesh), India.
Published: April 2021

The nature of electric force and unsettling influences happened in power signal has gotten a significant issue between the electric force providers & clients. For enhancing the force quality constant checking of force is required that is being conveyed at client’s destinations. Thusly, recognition of “POWER QUALITY” aggravations, and appropriate characterization of “POWER QUALITY” D is profoundly attractive. The location and characterization of the “POWER QUALITY” D in appropriation frameworks are significant errands for insurance of force conveyed network. The majority of the unsettling influences are non-fixed and temporary in quality thus it needs progressed apparatuses and methods for the evaluation of “Power quality” unsettling influences. In this research a cross breed method is utilized for describing “POWER QUALITY” unsettling influences utilizing wavelet change and fluffy rationale. A no of “POWER QUALITY” is showed in this work before include extrication measure. Two unmistakable highlights basic to all “POWER QUALITY” unsettling influences as Energy and Total Harmonic Distortion (THD) are differently utilises discrete wavelet change and are taken care of as contributions to the fluffy master framework for exact location and order of different “POWER QUALITY” unsettling influences. The fluffy master framework characterizes the “POWER QUALITY” aggravations as well as shows whether the unsettling influence is unadulterated or accommodates music. A neural organization follow PQ Disturbance (“POWER QUALITY” D) location framework is included displayed executing many layer feed forward Neural Network ‘MFNN’.
Adjustable PRPG for Low Power Test Patterns
Authors:   M.Tech, VLSI System Design, Jawaharlal Nehru Technological University, Anantapuramu (AP), India., Nadimulla B. , Mastani Dr. S. Aruna Mastani, ,   Department of ECE, Jawaharlal Nehru Technological University, Anantapuramu (AP), India.
Published: April 2021

As the power consumption is more in the processes of testing, test vector set compression and controlling of toggling plays a crucial role in reducing the power consumption during test mode. In exploring the controlling techniques of toggling, Pre-Selected Toggling (PRESTO) of test patterns is a technique that can control the toggling of a test patterns in a precise manner in Built-in Self -Test (BIST) architectures. In this paper we modify the architecture of existing Full Version PRESTO that can be used to generate test vectors and in addition binary sequences used as scan chins such that the controlling of sequence of test vectors depends on number of 1’s present in the switch code which is user defined thus reducing the testing time with significant fault coverage, and in addition the optimization is also observed in area and power. The area has decreased by 12.2% and power consumption by 15.43%. The Synthesis and implementation of the architectures are done using Artix7 (xc7a100tcsg324-3) FPGA family. The simulation results have been analyzed through Mentor-graphics Questa-sim 10.7C.
Disease Classification and Prediction using Ensemble Machine Learning Classification Algorithm
Authors:   Assistant Professor, Department of Software Systems, Sri Krishna Arts and Science College, Coimbatore (Tamil Nadu), India., Preethi B.Meena Preethi, , Radha P. ,   Assistant Professor, PG & Research Department of Computer Science, Government Arts College, Coimbatore (Tamil Nadu), India.
Published: April 2021

In today’s scenario, disease prediction plays an important role in medical field. Early detection of diseases is essential because of the fast food habits and life. In my previous study for predicting diseases using radiology test report , and to classify the disease as positive or negative three classifiers Naïve Bayes (NB), Support Vector Machine (SVM) and Modified Extreme Learning Machine (MELM was used to increase the accuracy of results. To increase the efficiency of predicting the disease and to find which disease pricks the society, ensemble machine learning algorithm is used. The huge data from the healthcare industry were preprocessed., categorized and analyzed to find out and predict which patient to be treated and given priority and which hits the society the most. Ensemble machine learning’s popularity in the medical industry is due to a variety of factors the Classifiers used are K Nearest Neighbors, Nearest Mean Classifier, Mean Feature Voting Classifier, KDtree KNN, Random Forest. To reduce the manual processes in medical field automating these processes has become important. Electronic medical records and significant advances in health care have given an opportunity to make find out which patients need to be given more importance. Several methodologies and techniques were used to preprocess the data in order to meet the study’ requirements. To improve the performance of machine learning algorithms, feature selections were made using Tabu search. When ensemble prediction is combined with the Random Forest algorithm as the combiner, the results are more reliable. The aim of this study is to create a system to classify Medical records whether it is diseased or not and find out which disease rate has increased. This research will help the society to an individual to get treated easily and take preventive measures to avoid diseases.
Towards Optimization of Malware Detection using Extra-Tree and Random Forest Feature Selections on Ensemble Classifiers
Authors:   Department of Computer Science, Ekiti State University, Nigeria., Gbenga Fadare Oluwaseun , Olusola Adetunmbi Adebayo ,   Professor, Department of Computer Science, Federal University of Technology, Akure., Elohor Oyinloye Oghenerukevwe ,   Department of Computer Science, Ekiti State University, Nigeria.
Published: April 2021

The proliferation of Malware on computer communication systems posed great security challenges to confidential data stored and other valuable substances across the globe. There have been several attempts in curbing the menace using a signature-based approach and in recent times, machine learning techniques have been extensively explored. This paper proposes a framework combining the exploit of both feature selections based on extra tree and random forest and eight ensemble techniques on five base learners- KNN, Naive Bayes, SVM, Decision Trees, and Logistic Regression. K-Nearest Neighbors returns the highest accuracy of 96.48%, 96.40%, and 87.89% on extra-tree, random forest, and without feature selection (WFS) respectively. Random forest ensemble accuracy on both Feature Selections are the highest with 98.50% and 98.16% on random forest and extra-tree respectively. The Extreme Gradient Boosting Classifier is next on random-forest FS with an accuracy of 98.37% while Voting returns the least detection accuracy of 95.80%. On extra-tree FS, Bagging is next with a detection accuracy of 98.09% while Voting returns the least accuracy of 95.54%. Random Forest has the highest all in seven evaluative measures in both extra tree and random forest feature selection techniques. The study results uncover the tree-based ensemble model is proficient and successful for malware classification.
A Survey on Some Big Data Applications Tools and Technologies
Authors:   Department of Computer Science & Engineering, Sri Padmavathi Mahila Viswa Vidyalayam, Tirupati, India., Tazeen Nazia ,   Department of Computer Science & Engineering , Sri Padmavathi Mahila Viswa Vidyalayam, Tirupati, India., Rani K.Sandhya
Published: April 2021

Big Data is a broad area that deals with enormous chunks of data sets. It is a word for enormous data sets having huge volume, more diverse structures of data originating from diverse sources are growing rapidly. Many data being generated because of fast data transmission between devices concerning different sectors like healthcare, science, media, business, entertainment and engineering. Data collection capacity and its storage is big concern. Apache Hadoop software is a store of accessible source programs to store big data and perform analytics and various other operations related to big data. Many organizations base their decisions by extracting knowledge from huge and complex data, because of this prime cause of decision making, Big Data has to be accurately classified and analyzed. In order to overcome the complex challenges encountered by Big Data, various Big Data tools and technologies have developed. Big Data Applications, tools and technologies used to handle it are briefly discussed in this paper.
Study on Mechanical Properties of Polyurethane Foam Concrete
Authors: Gomasa Ramesh
Published: April 2021

Foamed concrete is a special type of concrete and it
can be used widely in construction of reinforced concrete
structures. this study is very helpful for understanding about
foamed concrete and mechanical properties of foamed concrete.
Lot of researches are going on concrete material and finally we
got foamed concrete. It has lot of advantages compared to
conventional concrete. Fluidity and Flowability is very good in
the foam concrete. It can be used for low cost of construction of
structures. It has high properties and advantages compared to
conventional concrete. Manufacturing and Production of poly
urethane is very simple and easy. because of their low density it
can be used for low-cost construction works. Weight of the
concrete is also less compared to other conventional concrete.
Transparent Concrete: A Review
Authors: Gomasa Ramesh
Published: April 2021

Transparent Concrete is a new type of Concrete used
widely in the construction industry. It has good properties, and it
gives a good appearance and architectural design. In this one of
the more critical properties is light transmission. So, by using this
application, Concrete is very famous. There are many advantages
to using LTC, and compared to regular conventional Concrete, it
has some special properties. The special property of lightning
occurs due to the presence of optical fibers. This paper author
mainly explains the importance and uses, and advantages of
Transparent Concrete and explained the Materials used for LTC.
This paper may help understand Transparent Concrete for
everyone easily. It gives a quick review of the Transparent
Concrete.
Rancangan Alat Elektroplating dan Eksperimen Pelapisan Berbahan CuSO4 Terhadap Ketebalan Lapisan
Authors: Nurhilal Mohammad , Harjanto Taufan Ratri , Bahri Saipul , Purwiyanto Purwiyanto
Published: April 2021

The electroplating method has the aim of producing a surface that has characteristics by the coating metal. The coating process requires a device that can place the ions from the coating material (anode) into the coated metal (cathode) through an electro-deposition process. Parameters such as temperature affect the electroplating process and greatly determine the coating result. The purpose of this study was to design the electroplating device, as well as to test the coating process using CuSO4 anode. The research method was carried out with an experimental approach through the manufacture of electroplating tools and coating testing of time variations of 20, 26, 32, 38, and 44 minutes and temperatures of 60, 65, 70, 75, and 80 oC. The results of the electroplating device design consist of frame components, plating and rinsing tubs, electrical systems, and cathode hanger. The coating results obtained the highest layer thickness 2.890 μm at a temperature of 80 oC for 40 minutes.
STUDY ON BETAMETHASONE GELAND LIGNOCAINE JELLY APPLIED OVER ENDOTRACHEAL TUBE TO REDUCE POST OPERATIVE SORE THROAT, COUGH ANDHOARSENESS OF VOICE
Authors: Ramamoorthy Stalin , Thangaraj Muthukumar
Published: April 2021

Background and Objectives: Controlled comparison between 0.05% betamethasone gel, 2% lidocaine jelly, lubricating gel applied over
endotracheal tube to reduce postoperative sore throat, cough, and hoarseness of voice at 0,6,&24 hrs Materials And Methods: This study
compares the incidence of postoperative sore throat, cough, and hoarseness ovoice after general anaesthesia when applying betamethasone gel
(betamethasone group-B) or lidocaine jelly( lidocaine group -L) on the tracheal tube. 120 ASAclass I and II patients undergoing elective surgeries
under general anaesthesia with orotracheal intubation were randomized into three groups: betamethasone gel, lidocaine jelly, and control groups (C
group). In the post-anaesthesia care unit, all patients were interviewed on postoperative sore throat, cough, and hoarseness of voice at 0, 6, and 24 h
after surgery. Results and Conclusion:Awide spread application of betamethasone gel (B) on the endotracheal tube decreases the incidence and
severity of postoperative sore throat, cough, and hoarseness of voice as compared to lignocaine group(L) and control group (c).
Fixed Point Processing of the SAR Back Projection Algorithm on FPGA
Authors: Hettiarachchi Don Lahiru Nirmal , Balster Eric
Published: April 2021

Time-domain back projection (BP) is a widely known method used in Synthetic Aperture Radar (SAR) image formation. Despite its advantages over other image formation algorithms, the BP method is hindered due to its computational complexity and its requirement of higher number of operations and processing power. Recently, Field Programmable Gate Array (FPGA) devices have been used for BP acceleration mainly due to their parallel processing capabilities, reconfigurability, scalability, and low power requirement. This paper presents a new Fixed-point based BP (FxBP) design for FPGA devices and a Floating-point based BP (FlBP) design to compare performance. Both designs are developed with N-Dimensional Range (NDR) structure and Single Work Item (SWI) structure using OpenCL. The FPGA performance is evaluated using a FPGA performance metric (FPM). It is shown that FxBP-NDR and FxBP-SWI designs generate high quality back projected images compared to FlBP designs, while saving 16.87 % and 42.54 % on logic resources and gaining 17.90 % and 91.62 % on FPGA performance in NDR and SWI, respectively. Obtained results clearly indicate that FPGA devices perform significantly better with FxBP designs compared to FlBP designs, even with hardened FPUs.
Usulan Perbaikan Keseimbangan Lintasan Perakitan Departemen Assembling Menggunakan Metode RPW-MVM dan Simulasi (Kasus PT.XYZ)
Authors: Rachmat Kumalasian Nasution Andri , Adi Kusumo Danang , Darmawan Ilham
Published: April 2021

PT. XYZ merupakan salah satu perusahaan manufaktur yang bergerak di bidang industri sepatu. Produk sepatu yang diproduksi oleh PT. XYZ memiliki model sepatu PDH, PDL dan Casual. Ketiga model sepatu terdiri dari terdiri dari dua bagian utama yaitu bagian upper yang merupakan bagian atas sepatu dan bagian bottom merupakan bagian bawah sepatu dan model-model sepatu tersebut melewati proses produksi yang sama sehingga jika salah satu model sepatu mengalami keterlambatan maka model yang lain akan berdampak dan mengalami keterlambatan juga yang disebabkan oleh keterlambatan pencapaian target produksi upper dan bottom sepatu. Keterlambatan pencapaian target produksi tersebut disebabkan tidak seimbangnya waktu kerja setiap stasiun kerja pada lintasan perakitan departemen assembling. Pada penelitian ini dilakukan penyeimbangan lintasan perakitan menggunakan metode RPW-MVM dan perancangan simulasi dengan menggunakan aplikasi Promodel. Setelah dilakukan penyeimbangan lintasan perakitan diperoleh hasil, penurunan jumlah stasiun kerja menjadi 13 stasiun kerja, peningkatan line efficiency bottleneck situation menjadi 88,28%, balancing efficiency meningkat menjadi 91,76% dan pertambahan output rata – rata 117 pasang sepatu.
Pendekatan Arsitektur Modern Minimalis pada Bangunan Perkantoran
Authors: Jimmy Jimmy , Minerva Jesslyn , Kerlyn Kerlyn , Lisa Lisa , Napitupulu Ferdinand
Published: April 2021

Penelitian iniibertujuan untukimengujiiapakah FreeiCashiFlow, Leverage, Likuiditas, dan Firm Size berpengaruh terhadap Kebijakan Deviden pada perusahaan property dan real estate yang terdaftar di BEI. Jenis penelitian yang digunakaniadalahipenelitianikuantitatif karenaidataiyangidigunakaniadalah angka –angkaisedangkan sifatipenelitianiiniiadalahipenelitian deskriptif. Populasiidalam penelitian ini berjumlah 61 perusahaan property dan real estate yang terdaftar di Bursa Efek Indonesia. Sampel penelitian yangidigunakaniberupa laporanikeuangan perusahaan sektor Property dan RealiEstateiyangiterdaftaridi BEIidenganijumlah 14 perusahaan dari tahun 2017i– 2019. Jenis data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari situs resmi BEI yaitu www.idx.co.id. Terdapat 4 variabel independen dalam penelitian ini yaitu X1 (Free Cash Flow), X2 (Leverage), X3 (Likuiditasi), iX4 (Firm Size) dan variabel dependennya yaitu Y (Kebijakan Deviden). Hasil penelitian ini menunjukkan bahwa Free Cash Flow berpengaruh secara negatif dan signifikan terhadap kebijakan deviden pada perusahaan property dan real estate. Leverage berpengaruh secara negatif dan signifikan terhadap kebijakan deviden pada perusahaan property dan real estate. Likuiditas berpengaruh secara positif dan tidak signifikan terhadap kebijakan deviden pada perusahaan property dan real estate. Firm Size berpengaruh secara positif dan tidak signifikan terhadap kebijakan deviden pada perusahaan property dan real estate. Free Cash Flow, Leverage, Likuiditas, dan Firm Size berpengaruh secara simultan terhadap kebijakan deviden pada perusahaan property dan real estate.
The Effect of Training on Employee Performance
Authors: Mahardika Citra Gitar , Luturlean Bachruddin Saleh
Published: April 2021

Human resources play the most important and potential role for the success of a company considering that human resources are the determinants of company activities both in planning, organizing, and making decisions. To make this happen, one of the efforts a company can make to improve the quality of its employees is by conducting training. This research is quantitative. This type of research used is descriptive and causal methods. The purpose of this study was to determine the effect of training on the performance of PT. Astra International Tbk - Toyota Sales Operation (AUTO2000) Soekarno Hatta Bandung Branch. The type of sample used is a saturated sampling. Data collection was carried out by distributing questionnaires to 51 people. The data analysis technique used is a simple regression analysis. Based on the results of simple linear regression analysis, training improves employee performance by 0.441. training affects the performance of technician employees by 65.1% and 34.9% is influenced by other factors. The advice given by the writer for the company is to hold a workshop or motivational seminar and further increase the type of training material provided.