bluuebunny/crossref_metadata_2025 huggingface dataset:
Artifact Removal and of EEG Signal Classification for Brain Computer Interface (BCI) using Back Propagation
Authors:   Research Scholar, Department of Electronics & Communication Engineering, Government Engineering College, Kushalnagar, Karnataka and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., U.* Rajashekhar , Neelappa  ,   Department of Electronics & Communication Engineering, Government Engineering College, Kushalnagar and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., Rajesh  ,   Department of Electronics & Communication Engineering, East Point college of Engineering and Technology Bengalore, Karnataka, India.
Published: April 2020

A brain-computer interface (BCI) provides a communication passage between the brain and an external stratagem. The Brain and its EEG signals are acquired from the BCI along its control signals and its widely used mechanism in the field of the biomedical fields. In this research work, an artifacts are removed algorithm in the EEG is developed and simulated in the MATLAB 2017a software tool. EEG signals from patients are recoded while recording some of the artificial signals added to it, which are instigated by using eye blinks, eye movement, muscle, and cardiac noise, and also non-biological sources. Using suitable filters these artificial signals can be removed. This paper aims to remove the artificial signals from EEG signals and parameters like mean, standard. Deviation are calculated and compared with other methods such as LAMICA and FASTERs. In the paper, it is also the proposed arrangement of EEG signals for the discovery of typical and anomalous exercises utilizing Wavelet change and Artificial Neural Network (ANN) Classifier is considered. Here, the framework utilizes the back proliferation with feed-forward for order which pursues the ANN grouping. Accuracy of the classification is calculated and compared with other states of art publications and found that it is better.
Suppression of Vibration and Noise of Picking Mechanism in Power Loom
Authors:   Assistant Professor, Department of Mechanical Engineering, DKTE Textile and Engineering Institute, Ichalkaranji, Maharastra, India., Badkar Prahalad S , Benal Dr. M. M ,   Professor and Head, Department of Mechanical Engineering, Government Engineering College, Kushalanagara, Karnataka, India.
Published: April 2020

In textile industry, Power looms are operated by electric power to weave patterns or thread into cloths. In power looms, due to rotating and sliding component results into vibration, excessive noise, fatigue failure and other premature failure of machine components. In this review paper identifies, various vibration causing components of shuttle power loom and summarized on the modification and analysis carried on shuttle Power Loom for minimization vibration and Noise.
Mechanical Properties and Tribological Behaviour of Reinforced Aluminium Metal Matrix Composites
Authors:   Asst.Professor, Sri Krishna College of Technology, Coimbatore, T Nithyanandhan. , R Kannakumar. ,   Asst. Professor, CMS College of Engineering &Technology, Coimbatore, P Sureshkumar. ,   Asst.Professor, JCT College of Engineering and Technology, Coimbatore, S Pradeep. ,   Asst.Professor, JCT College of Engineering and Technology, Coimbatore, V Prakesh. ,   Asst.Professor, JCT College of Engineering and Technology, Coimbatore
Published: April 2020

This paper focuses the Mechanical properties and tribological behaviour of aluminium (6063) metal which are reinforced with silicon carbide and graphite. Different percentages like7 %, 10%, 12% of silicon carbide and 3%, 5%, 8% of Graphite were added for reinforcement. The manufacturing of components is made by using stir casting method. Mechanical properties like (fatigue, impact, micro structure) and wear test are carried out in this paper. The result concluded that there is an increase in the mechanical and tribological properties with increase in weight percentage of reinforcement.
ER-KFPSO: Energetic Routing Technique Based Kernel Fuzzy Latency Particle Swarm Optimization Algorithm in Wireless Sensor Network
Authors:   Department of Computer Science (PG), PSGR Krishnammal College for Women, Coimbatore, India, N Deepa , Aruna D DR. Devi ,   Assistant professor, Department of Computer Applications, Dr. N.G.P Arts and Science College, Coimbatore, India
Published: April 2020

The applications of Wireless Sensor Networks in the recent times are wide in various places in sensor forms. Subsequently, the routing has to be done in a more energetic manner in line with the mobility and not compromising the QoS. Various techniques were proposed for the energetic routing in order to make a significant progress in the stability of the energy as it is a vital parameter of a WSN in times of data transmission for communication. These techniques are used for the life time enhancement of the sensor networks. Load balancing methods along with energetic routing are made used at the time of clustering. This article proposes an Energetic Routing which is based on the Kernel Fuzzy Latency PSO (ER-KFPSO) for supporting the energy consumption in Wireless Sensor Networks for improvisation in the life time of the network. The proposed method gives assistance in shaping the clusters by making use of the Energy Fitness value along with assignment of CHs. The proposed technique achieves better results on experiments when compared with the other existing methods that uses Particle Swarm optimization based nodes and life time prediction method through linkage (PNLP).
Evolutionary Algorithms in Stabilization of Inverted Pendulum
Authors:   Assistant Professor, Electronics and Communication Engineering, Babaria Institute of Technology, Varnama, Gujarat, India., Amudhan* S.Suganthi , Vedvyas J Dr. Dwivedi ,   Pro Vice Chancellor, C U Shah University, Wadhwan City.Surendranagar Gujarat, India., Sedani Dr.Bhavin ,   Professor, Electronics and Communication Engineering, L.D.College of Engineering, Ahmedabad, Gujarat, India.
Published: April 2020

A novel optimization algorithm of fuzzy logic controller (FLC) using genetic algorithms is used to characterize the major design parameters of an FLC known as characteristic parameters. The characteristic parameters simplify the design of FLC which are encoded into a chromosome as an integer string. These are optimized by maximizing the evaluated fitness through genetic operations to achieve the optimized FLC .An effective Genetic Algorithm (GA) is proposed using linkage learning, or building block identification. The genes arranged to have a fitness enhancement is the essence of linkage learning. A perfect and faster extended GA is suggested using an effective method to learn distributions and then by linking them. Stabilization of Inverted pendulum pole angle is taken as test bench.
Disaster Risk Reduction: Lessons from Traditional Knowledge
Authors:   Research Scholar and Assistant Professor, Architecture Department, School of Planning and Architecture, Bhopal, India, Singh* Nayana R. , Khare Dr. Ajay ,   Conservation Department, School of Planning and Architecture, Bhopal, India., Pasupuleti Dr. Ram Sateesh ,   Architecture Department, Indian Institute of Technology, Roorkee, India., Singh Gaurav ,   Architecture Department, School of Planning and Architecture, Bhopal, India.
Published: April 2020

World over, there is a great shift from disaster management to disaster risk reduction. The Sendai Framework for Disaster Risk Reduction 2015-2030 also focused on to prevention of new risk, reduction of existing risk and strengthening of societal and environmental resilience in process of achieving sustainability. It is a known fact that traditional knowledge has a wealth of knowledge on any subject. This paper is an attempt to review the traditional knowledge related to the built environment of the hills of Uttarakhand, in a process of learning their relevance, to cope up with the threats and vulnerabilities from disasters. The study was conducted and explained through a case study of village Bagori. The qualitative data was collected through an intensive primary survey of the village, discussions with the villagers and available written documents. In the absence of sufficient data availability, the drawings and details of the area were created by the authors, compared and digitized. The analysis of the data was done through GIS (hydro tool) and verified by cross-referencing from the secondary scientific literature. The synthesis of both the spatial and social knowledge reviewed concludes on the possibility of establishing a strong relationship of traditional knowledge in disaster risk reduction. The paper recommends that adaptation of traditional knowledge, dovetailed with contemporary practices will certainly contribute to achieving sustainable development of the disaster-prone region.
Impact of Leadership on Worker Satisfaction in UAE Public Sector, A Confirmatory Examination
Authors:   Technology Management and Business | Universiti Tun Hussein Onn Malaysia 86400 Parit Raja, Batu Pahat Johor, Malaysia., Zeyoudi* Saleh Al
Published: April 2020

There are various challenges associated with workers retention, performance and satisfaction that are implicating the transportation industry in United Arabs Emirates and its management. These challenges are not exclusive troubles that the institution faces but it is shared by numerous other organizations in the United Arabs Emirates public segment. The swift development of UAE economy in the past few years has, in general contributed to expansion in the number of global organizations and individuals coming from all corners of the globe which support settling and working in the UAE. For this reason, the number of United Arabs Emirates population increased which contributed to raise demand of massive services in the UAE transportation industry and other government agencies. Transportation industry serves UAE in general which augment the necessity to explore the parameters that contribute to workers’ shifts to other job positions particularly among high skills workers. The more knowledgeable experts are the higher the probabilities they would have to get a highly paid employment in another firm. Quantitative research was applied and AMOS and SPSS software were used to evaluate the collected data in this paper.
Analyzing and Managing the Impact of Risks using Multi Fuzzy Inference System
Authors:   Director, IT Buzz Ltd and U-Com Software Private Ltd, Satya Nagar, Bhubaneswar, India., Nayak Dr. Malaya Kumar , Mohapatra Prof. Dr. A. K. Das ,   Professor, Department of Business Administration, Sambalpur University, Odisha, India.
Published: April 2020

Information technology security risk evaluations are necessary in determining measures being taken for risk analysis. Risk analysis is also significant as it predicts the loopholes in the software which can get manipulated during suspicious activities. The article has attempted to analyze the risk issue and further suggests a multi-fuzzy risk evaluation approach for the identification of security threats. This approach analyses hacker risks based on the potential ability for an assailant, their overall probability for an attacks as well as the implications of such attacks. It typically consists of 3 sub fuzzy inference structures. The 1st fuzzy inference structure assesses an assailant's total capacities. The 2nd fuzzy inference structure assesses the general probability of ambush success, whereas the 3rd fuzzy inference structure measures risk thresholds.
Fuzzy Geographical Model for Visualizing Crimes Hot Spots
Authors:   Department of Computer Science, Jouf University, Tubarjal, Kingdom of Saudi Arabia,, Mahmood* Mahmood A. , M.Akl Sherif ,   Department of Information System and Technology, Cairo University, Faculty of Graduate Studies for Statistical Research (FGSSR),, Ramadan Nagy ,   Department of Information System and Technology, Cairo University, Faculty of Graduate Studies for Statistical Research (FGSSR),
Published: April 2020

Crimes Hot spots are areas that have a greater than average number of criminal or disorder events. Recently, many researchers pay more attentions for detecting crime hot spots to allow police personnel to plan effectively for emergency response, determine mitigation priorities, analyze historical events, and predict future events. This paper introduces a fuzzy geographical model for detecting crimes hot spots. The proposed model has three main phases which are: (1) Pre-processing, (2) Fuzzification, and (3) Visualization. In pre-processing phase, the model uses statistical methods and cleansing techniques to clean the raw dataset. In Fuzzification phase, the number of crimes converts into linguistic value according to the hybrid (triangular and trapezoidal) membership function. In visualization phase, the results are visualized on GIS map with different colors based on the density of crime hot spot. This paper aims to rank the hotspot crime places in the country, so the decision-makers can be knowing accurately. Our dataset collected from Cairo crimes at year 2016 and the results of our approach suitable and has a good manner for the decision maker with high accuracy.
Thermal Performance on Parabolic Solar trough Collector by using Rgo/Water Nanofluid
Authors:   Research Scholar, Department of Mechanical Engineering, Visvesvaraya Technological University, Belagavi, India., Gowda* Ananda , Dassappa Shivappa ,   Research Supervisor, Department of Mechanical Engineering, Visvesvaraya Technological University, Belagavi, India.
Published: April 2020

The solar water heating systems are one of the popular devices to harness the sun radiation incident on the surface of earth at free of cost. The ASHARE standards 93-86 were followed to study the thermal performance of parabolic solar trough collector using rGO/water nanofluid with the mass fraction of 1% used as a working coolant. To enhance the efficiency regarding temperatures variations, flow rate, and incident solar radiations was examined. These results show that influencing of nanofluid on the collector had more efficient than with pure water owing to solar radiation and flow rate. The efficiency of solar parabolic trough collector has improved with an effect of nanofluid compared to pure water.
3190 Retrieval Number: F7481038620/2020©BEIESP DOI:10.35940/ijrte.F7481.038620 Journal Website: www.ijrte.org Published By: Blue Eyes Intelligence Engineering & Sciences Publication Bus Tracking and Fuel Monitoring System
Authors:   Pursuing Engineering Graduate, Department of Computer Science and Engineering, National Engineering College, Tamil Nadu, India., Donison M.Ajoy , Raja P.Karthick ,   Pursuing Engineering Graduate, Department of Computer Science and Engineering, National Engineering College, Tamil Nadu, India., Kumar S.Ajith ,   Pursuing Engineering Graduate, Department of Computer Science and Engineering, National Engineering College, Tamil Nadu, India., Devi Mrs.N.Anitha ,   Assistant Professor, Department of Computer Science and Engineering at National Engineering College, Tamil Nadu, India
Published: April 2020

The number of buses that are available in the public transport sector nowadays has been increased. It is not possible to track all available vehicle locations at a given period of time and to monitor the remaining fuel available in the vehicle. In this paper, we have developed a bus tracking and fuel monitoring system that will come in handy to maintain the services in which the bus owner offers. Our proposed system is based on the Arduino UNO, GSM module, GPS module, and fuel level sensor. It is an embedded application that will monitor the bus and transmit to the admin on demand.
Congestion Control Through IDA Process for Malicious Node in MANETs
Authors:   Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Hyderabad, Telangana., Olounabadi* Seyed Amin Ahmadi , Damodaram Avula. ,   Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Hyderabad, Telangana., Prasad V Kamakshi ,   Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Hyderabad, Telangana., Srinivas Pvs ,   Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana.
Published: April 2020

Mobile Ad Hoc Network is an array of mobile networks that connect without a base station with each other. The networks are automatically established or on request when certain nodes come into the shared mobility region and agree to collaborate for the transmission and exchange of data. Because of its deployment nature, MANETs are more vulnerable to different type of attack. The reliability of the ad hoc mobile network is difficult due to its essential features including complex topology, a flexible format, limited power, limited bandwidth and remote communication. Mechanisms for protection such as encryption or authentication cannot alone identify harmful nodes in ad-hoc networks. Therefore, we propose and implement the Congestion control through Intrusion Detection Approach (IDA), this intrusion detection approach designed specifically for MANET. This tool can be used even in the case of incorrect wrongdoing reports to identify fraudulent nodes. This approach can identify extremely dangerous nodes, and thus improves protection and network efficiency, relative to other detection methods.
Trustworthiness of Cloud Service Provider and Efficient Third Party Auditor in Cloud Computing using Access Control
Authors:   Student, Department of Information Technology,Sri Krishna Arts & Science College Coimbatore., Indhu* K. , Gayathri M. ,   Student, Department of Information Technology,Sri Krishna Arts & Science College Coimbatore., Annapoorani G. ,   Student, Department of Information Technology,Sri Krishna Arts & Science College Coimbatore.
Published: April 2020

One of the advanced rising technology is Cloud computing. The storage of information could be a massive complication for bushed this world. the simplest associated quickest storage and retrieval of information is an economical answer for Cloud computing. The main issue in cloud computing is security. Present study developed model which helps the new user in comparing the different services provided by different Cloud Service Providers. It works on quality of service (QoS), which plays the vital role in the selection of best CSP. Before this study, many tools were developed, but they did not focus on Quality of Service (QoS). This model assists cloud customer in assessing cloud providers trustworthiness based on predefined trust attributes such as business factors, Quality of Services attributes and the 11 security control domains defined by the CSA. In this study, a mechanism is designed through which integrity of Third Party Auditor is checked with the help of access control. Security is the main concern for the development of the proposed system.
Adoption of Digital Marketing Practices in Micro Small Medium Enterprises for Inclusive Growth
Authors:   Madhusudan Rao, Professor-management, Avinash Degree College, Hyderabad., Venkata Dr. Datrika , Rajeswari Dr. K. ,   Associate Professor, Department of Commerce, Avinash Degree College, Hyderabad.
Published: April 2020

India's Micro, Small, and Medium Enterprises (MSMEs) base is the biggest on the planet after China. According to the official appraisals, there are about 63.05 million miniaturized scale businesses, 0.33 million little, and around 5,000 medium undertakings in the nation. The Micro, Small and Medium Enterprises (MSME) part is a profoundly lively and dynamic segment of the Indian economy. It contributes in the financial and social advancement of the nation. MSMEs are encouraging enterprise and creating biggest work openings at relatively lower capital expense, next just to farming. Presently, MSMEs are worked in practically all significant segments in the Indian business, for example, Food Processing, Textiles and articles of clothing, Agricultural data sources, Leather and cowhide merchandise, Sports merchandise, Plastic items, Electro-restorative gear, Computer Software and so on. SMEs assume a crucial job in Indian Economy with their commitment in modern yield, fares, business and creation for Indian and worldwide market. This paper centers on existing advertising media for SMEs in administrations division and searches for extent of internet promoting. With the range of time online media has gain significance in showcasing and it very well may be a perfect mechanism for SMEs accomplishment in promoting. Online media permits securing, sustaining and gathering prompts draw in with them dependent on referrals and proposals. Specialists have likewise indicated that web based showcasing is savvy and aides in widen and oversee client database for SMEs. As Digital Marketing gives colossal advantages to the business, MSMEs is likewise the territory which can get or benefit this stage for offering pace to their advancement. The following are the two motives for doing research in this area. First one is Digital Marketing is a fruitful idea for huge brands in India, what is the impact on neighborhood and little brands in little urban communities? And the second one is what devices and parts ought to be utilized by these nearby and little brands to completely abuse the Digital Marketing?
Changes of Indicators in Fiber and Cotton Seed Quality in Separating Cut Fractions on Cotton Fiber Mass
Authors:   Faculty Technology of light industry and design, Tashkent, Institute of Textile and Light Industry, Uzbekistan, Mirpolat Prof. Kulmetov , Abdugapirovna Prof. Toirova Tursunoy ,   Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Uzbekistan, Soatovich Mengnarov Shuxrat ,   Assistent, Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Uzbekistan, Toshboy o’g’li Xasanov Jo’rabek ,   Assistent, Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Uzbekistan, Xayriddin o’g’li Komilov Husniddin ,   Faculty Technology of light industry and design, Tashkent, Institute of Textile and Light Industry, Uzbekistan
Published: April 2020

This article describes the fourth type of medium-fiber Hampor, currently widely used in the Surkhandarya region, the lengnth is about 160-170 mg, 171-180 mg, 181-190 mg, 191-200 mg, 201-205 mg, 206-210 mg was divided into fractions by mass of fibers, the LKM equipment was cleaned of fine and dirty particles in the laboratory of the ginnery, DL-10 was isolated from the fiber on the ginning equipment, and the physical and mechanical properties of the seeds, the strength of the breakage, the modal mass, the length of the staple mass, the average mass, the ripening, the length and the squared irregularity were determined by the equipment. The optimal option for fiberglass mass fractionation was proposed to obtain high quality products.
Instantaneous Reactive Power Theory Control Scheme for Reactive Power Compensation using DSTATCOM
Authors:   Electrical and electronics engineering department, JNTUH college of Engineering, Jagtial, Telangana-505501, India., Srinivas* Dr. K. , Rani N. ,   Electrical and electronics engineering department, JNTUH college of Engineering, Jagtial, Telangana-505501, India.
Published: April 2020

Distribution static compensator is a well known facts device which control reactive power flow in a distribution system. Nowadays major loads in distribution system are inductive loads, which will consume more reactive power. In order to improve power quality, this paper developed an IRPT control scheme for generating the reference quantity components for DSTATCOM to compensate that reactive power. DSTATCOM simulation is done in MATLAB using IRPT.
A D-STATCOM for Power Quality Improvement Under Different Fault Conditions
Authors:   Assistant Professor, Electrical and Electronics Engineering department, JNTUH College of Engineering, Jagtial, Telangana, India., Charan* Chandragiri Radha , Ramya Diddi ,   Department of Electrical and Electronics Engineering, JNTUH College of Engineering, Jagtial, Telangana, India.
Published: April 2020

D-STATCOM has been used to improve the power quality problems, such as voltage sags, voltage swells for different fault conditions. In order to improve the power factor and reduce the harmonic distortions, LCL passive filter is used along with D-STATCOM. The aim of this paper is to compensate the voltage sag and harmonic distortions by designing the D-STATCOM with LCL passive filter across the distribution system. The simulations were performed by using MATLAB/SIMULINK.
Rule Descriptions for Soil Quality and Soil Fertility Assessment using Fuzzy Control System
Authors:   Department of Computer Science, Graphic Era Hill University, Bhimtal, India., Pant* Himanshu , Lohani Manoj Chandra ,   Department of Computer Science, Graphic Era Hill University, Bhimtal, India., Pant Janmejay ,   Department of Computer Science, Graphic Era Hill University, Bhimtal, India., Bhatt Ashutosh ,   Department of Computer Science, BIAS, Bhimtal, India., Singh Manoj Kumar ,   Department of Computer Science, Graphic Era Hill University, Bhimtal, India.
Published: April 2020

The three major elements or fertilizers of the soil are Nitrogen (N), Phosphorus (P) and Potassium (K). These three elements are necessary for the plants development and increase the productiveness of the soil. The trend for categorizing soil quality for the diversity of usages is by calculating the Soil Fertility Indexes (SFI). In this paper, we have created a fuzzy control system using scikit-learn-fuzzy or skfuzzy (Fuzzy Logic Toolbox for Python) for Soil quality and fertility assessment, based on fuzzy rules to suggest suitable nutrients for the crops and relate to linguistic classification of soil excellence with degree of confidence in Nainital district of Uttarakhand, India.
Effect of Accounting Practices on Trade and Information Technology in Calabar Metropolis
Authors:   Associate Professor, Department of Accounting, University of Calabar, Cross River State, Nigeria., Asuquo  , Udoayang J. O. ,   Professor, Department of Accounting, University of Calabar, Cross River State, Nigeria.
Published: April 2020

This study examined effect of accounting practices on trade and information technology in Calabar metropolis. The study specifically assessed the effect of accrual accounting and cash accounting practices on usage of information technology for trade by SMEs in Calabar metropolis. The study applied the survey research design with a well-structured questionnaire administered on three hundred and seven respondents. The ordinary least square technique was the analytical tool used in the study’s analysis. Findings from the analysis showed that accrual accounting and cash accounting practices had no significant effect on trade through information technology. Based on the findings, it was concluded that though accounting practices have no direct significant effect on information technology but in reality, information technology plays vital roles in modern trade towards effective and efficient attainment of organisational goals and objectives of setting up of SMEs. Relying on the findings and the conclusion reached, the study recommended that owners and managers of SMEs should train their employees on the use of accounting software, which are developed by information technology experts, for the timely preparation of accounting reports and or financial statements for prompt decision making. Lastly SMEs should investment adequate resources in accounting information system as this is necessary to monitor the level of organization activities, track receivables and conduct inventory control.
Integrated Management System for JSW Steel Melt Shop of 5 MTPA Capacity
Authors:   Department of Civil, Vellore Institute of Technology, Vellore, Tamilnadu, India., Avinash* Kommireddi , Murugan S. Bala ,   Sr. Assistant Professor, Department of Civil, Vellore Institute of Technology, Vellore, Tamilnadu, India., Vaidya Sachin ,   Manager (Projects), Department of Civil, Gammon Engineers and Contractors Pvt. Ltd, Mumbai, India., Kota Venkataramana ,   Sr. Manager, Department of Civil, JSW Steel Dolvi works Mumbai, India.
Published: April 2020

Over the last few years we have been facing many problems related to the Occupational Health and Safety, Environmental Safety and Quality in construction sites during the execution of project. Now-a-days the clients need the work to be done with full quality in safety manner. This Paper explains the “Integrated Management System (IMS)”. which integrates various departments like Execution, Planning, Design, Occupational health and safety, Environmental Safety, Human Resources, Quality Assurance/Quality Control etc., according to standards such as ISO 9001, uISO 14001 and OHSAS 18001. This IMS is one of emerging techniques that brings all the departments into a single one. This study was done by collecting the data by conducting interviews with professionals from all the departments in the Steel Melt Shop Construction Project such as Human Resource team, Design team, Procurementlteam, Execution Team, Quality team, Safety team etc. This Paper concludes with a detailed framework of IMS for a steel Melt shop Project by integrating the functions of various departments in the project and develops a basic plan of IMS for both Top level Management and Bottom Level Management. This IMS Plan has been Prepared for Contractors, its sub-contractors and other Stack holders if any involving in this project. This Integrated management system will minimize the overall cost, time and manpower.
Behavioural Based Safety Practices at Small Manufacturing Units at Chennai
Authors:   Department of Management Studies, Rajalakshmi Engineering College, Chennai, India., Krithika* Dr.J. , Sowmya Dr K R ,   Department of Management Studies, Rajalakshmi Engineering College, Chennai, India., Prabadevi Dr. P. ,   Sona College of Technology, salem, India.
Published: April 2020

This research is aimed to study the Behavioural Based Safety Management Practices in small manufacturing units of Chennai. The research focuses to understand the perception of employees on the Behavioural Based Safety Management Practices of their work place. The research instrument Questionnaire was used to collect the primary data. The data got collected from 124 respondents and the collected data was analyses by using Independent ‘Z’ test and One way ANOVA. The work place safety is very essential systematic procedure to be followed in any organisation. By adopting a strict procedure and regulations the safe work atmosphere can get created in any manufacturing unit. This research is focuses on behavioural based safety, which will help to reduce accidents in manufacturing units. The role of safety trainers is very significant in enhancing the behavioual based safety practices in any organization. The trainers who are instructing and providing training to their employees is any organisation , need a chance to communicate with employees before he or she is drafting a content of any training and development activity. By this conversation, the existing skill set of the employees and their nature of work can be understood and an effective training program can be planned.
Predicting and Preventing Recommender System for Telangana Road Accidents
Authors:   Sreenidhi Institute of science and Technology, Yamnampet, Ghatkesar, Hyderabad, Telangana, India., Kakulapati* V. , Bharade Srikar ,   Sreenidhi Institute of science and Technology, Yamnampet, Ghatkesar, Hyderabad, Telangana, India., M Nikhil. ,   Sreenidhi Institute of science and Technology, Yamnampet, Ghatkesar, Hyderabad, Telangana, India.
Published: April 2020

Today people are suffering with road accidents in world wide. Analyzing these Road accidents are the major challenge in identifying and predicting primary features related with catastrophes. All these features are valuable for anticipatory computes to conquer road mishaps. Integrating various analytics techniques can get better model recognition and avoid road mishaps. As road safety growing quiet apprehension, speedy analytics observes all safety techniques in dynamic to spot malfunction that may signifies road mishaps on identifying key features related with road , mishaps in Telangana state. In our propose work, a framework to analyze the road mishap with classification of accidents and clustering, which analyze mishap data of Telangana stated district wise. The proposed framework describes the recommendation system for predicting road accidents. For this, classify the road accidents into fatal, major and minor. We implemented district wise data into clustering and applying enhanced k-mean algorithm. Further, implemented similarity measures to detecting the places where the severity of accidents happened and also analysing the driver behaviour analysis while accidents occur. The implementation result reveals that the road accident prediction exhibits enhance in certain areas and those areas exists in districts should be the major concern to acquire anticipatory measure to conquer the road mishaps.
Improving Thermal Power Plant Efficiency
Authors:   Department of Mechanical Engineering, DJR College of Engineering and Technology Gudavalli Vijayawada, Affiliated to JNTUK University Kakinada, India., Dayasagar* Bandi , Nookabathina Madhu Latha ,   Department of Mechanical Engineering, DJR College of Engineering and Technology Gudavalli Vijayawada, Affiliated to JNTUK University Kakinada, India., Krishna M. Murali ,   Deputy Executive Engineer, Turbine Maintenance Division Stage-1, Dr. NTTPS Thermal Power plant (APGENCO).Vijayawada, India., Praveen Pilli ,   Djr College of Engineering & Technology Gudavalli Vijayawada., Somaraju Akkimsetti ,   Assistant Professor , DJR College of Engineering & Technology Gudavalli Vijayawada.
Published: April 2020

Energy is the most important requirement for the growth and development of a nation since it is the basic necessity for every sector. The most common form of energy used is electricity. Electricity is the form of energy that is used both commercially and non-commercially. Thus, generation of electricity is the most significant requirement. Thermal electric power generation is one of the major methods for generation of electricity. But generation of electricity is it enough. It has to be done in the most effective and efficient manner. Owing to acute importance of electricity, it is important that it is done in the most efficient manner so that losses are minimized, outputs are maximized, optimum utilization of resources is done and reduction in the overall cost of the power plant can be achieved. Such outputs are even more important in the present era where sustainable development has become the most important requirement. The present research will analyze the factors affecting efficiency of a power plant. The study will further analyze the effect of operational practices & choice of fuel on efficiency of thermal power plant and the technologies available for improving the thermal power plant efficiency. The research will analyze the ways to optimize the thermal power plant through review based and theoretical analysis. The present research will be a review based work wherein an in depth analyses of the existing literature will be done. The conceptual model thus formed from the review will then be verified through qualitative analysis using thematic analysis method. The respondents (N=8) will be acclaimed professors and research associates in the field of thermal energy. Based on the findings from the review and qualitative analysis, conclusion will be drawn and discussion will be presented wherein all the research questions will be answered. Finally, the future prospective based on the present research will be presented.
Accounting Information and Non-Accounting Information in Financing Decision: in Islamic Banking Indonesia
Authors:   Lecturer, faculty of economics and business at Jambi University, Jambi, Indonesia, Mukhzarudfa*  , Putra Wirmie Eka ,   Doctoral student in economics, Jambi University, Jambi, Indonesia,
Published: April 2020

This study aims to determine whether Islamic Banking in its financing provision decisions based on financial statements as a source of accounting information, or not. To find out whether banks also base their financing decisions on non-accounting details or not. The target population in this study are all funding requests received by Islamic banking in Jambi City during 2018. The sample in this study amounted to 56 files, taken using the "simple random sampling" method. This research conducted using a survey method, namely, by using structured questions. The analysis carried out using multiple linear regression. The results showed that: accounting information variables that significantly influence financing decisions are activity variables. For the analysis of non-accounting information, the significant effect is the level of collateral, the reputation of the customer, and the economic sector to be financed. Together with the accounting information and non-accounting information, variables significantly influence the level of financial decisions.
Modeling and Analysis of Zenith based Passive Solar Tracking Mechanism
Authors:   Mechanical engineering department, Koneru Lakshmaiah Education Foundation, Guntur, India., Rahul* R. , Srinivas T ,   Mechanical department, of Dr B R Ambedkar National Institute of Technology Jalandhar, Jalandhar (Punjab) ,India, Mishra Himanshu ,   Mechanical engineering department, Koneru Lakshmaiah Education Foundation, Guntur, India., Tamiloli N. ,   Mechanical engineering department, Koneru Lakshmaiah Education Foundation, Guntur, India., Dharmendra B.V. ,   Mechanical engineering department, Koneru Lakshmaiah Education Foundation, Guntur, India.
Published: April 2020

A novel gravity-based, power-free solar tracking mechanism is being developed to track the movement of the sun across day length. A compound parabolic collector having 3 parabolic segments is chosen due to its high intercept factor and suitability to the current tracking as compared to a cylindrical parabolic collector. Used to concentrate the incident solar radiation to the focal point, the Compound Parabolic Collector accumulates heat at the central coil, which is in turn used for process heating applications. The working of the tracking mechanism is studied to find the tracking loads in the east and the west sides of collector. We intend to simulate the tracking motion from the sunrise to sunset, in order to validate the empirical findings. The identified design variants are sprocket wheel diameter, suspension, solar collector’s weight, counter balance and loading on the shaft. The recommended diameter for the sprocket wheel and shaft is 2500mm and 50mm respectively.
Experimental Examination of Process Parameters During Fabrication and Machining of Powder Metallurgy Aluminum Component
Authors:   Department of Mechanical Engineering, Radhakrishna Institute of Technology & Engineering, Bhubaneswar, India., Pattanaik* Bimal Ranjan , Debata Prajna Paramita ,   Department of Mechanical Engineering, Centurion University of Technology & Management, Jatni, India., Behari Mandakini ,   Department of Mechanical Engineering, Centurion University of Technology & Management, Jatni, India.
Published: April 2020

The present study aims at investigating the effect of process characteristics during fabrication and machining of powder metallurgy (PM) Aluminium cylindrical components. The application of the machining process as an alternate manufacturing process to fabricate the PM Aluminium components for industrial use with desired shape and size is explored. The PM Aluminium cylindrical components were fabricated by compacting the Aluminium metal powder within the compaction dies under various values of compaction load, sintering temperature and sintering time. These PM components were then machined under different standard cutting velocity and tangential cutting velocity, surface roughness data were analyzed. After the investigation it was concluded that, higher values of compaction load, sintering time and sintering temperature leads to higher values of relative density and relative hardness of the sintered Aluminum component. Again from machining results it can be stated that, higher values of fabricating parameters have a higher significance on performance parameters.
Prediction of Patient Readmission via Machine Learning Algorithms
Authors:   Faculty of Computing and Information Technology, Computer Science Department, King Abdulaziz University, Jeddah, Saudi Arabia, Alajmani* Samah , Jambi Prof. Kamal ,   Professor, Faculty of Computing and Information Technology, Computer Science Department, King Abdulaziz University, Jeddah, Saudi Arabia.
Published: April 2020

Predicting the probability of hospital readmission is one of the most vital issues and is considered to be an important research area in the healthcare sector. For curing any of the diseases that might arise, there shall be some essential resources such as medical staff, expertise, beds and rooms. This secures getting excellent medical service. For example, heart failure (HF) or diabetes is a syndrome that could reduce the living quality of patients and has a serious influence on systems of healthcare. The previously mentioned diseases can result in high rate of readmission and hence high rate of costs as well. In this case, algorithms of machine learning are utilized to curb readmissions levels and improve the life quality of patients. Unluckily, a comparatively few numbers of researches in the literature endeavored to address this issue while a large proportion of researches were interested in predicting the probability of detecting diseases. Despite there is a plainly visible shortage on this topic, this paper seeks to spot most of the studies related to predict the probability of hospital readmission by the usage of machine learning techniques such as such as Logistic Regression (LR), Support Vector Machine (SVM), Artificial Neural Networks (ANNs), Linear Discriminant Analysis (LDA), Bayes algorithm, Random Forest (RF), Decision Trees (DTs), AdaBoost and Gradient Boosting (GB). Specifically, we explore the different techniques used in a medical area under the machine learning research field. In addition, we define four features that are used as criteria for an effective comparison among the employed techniques. These features include goal, data size, method, and performance. Furthermore, some recommendations are drawn from the comparison which is related to the selection of the best techniques in the medical field. Based on the outcomes of this research, it was found out that (bagging and DT) is the best technique to predict diabetes, whereas SVM is the best technique when it comes to prediction the breast cancer, and hospital readmission.
Mapreduce: Simplified Data Processing on Clusters with Privacy Preserving By using Anonymization Techniques
Authors:   Research Scholar, Bhagwant University, Ajmer, Rajasthan, Dixit Ashutosh , Tyagi Nidhi ,   Professor, MIET, Meerut
Published: April 2020

Computerized Data from various sources, such as remote sensors, cutting-edge sequencing of bioinformatics and high-performance instruments, are increasing at extremely high speeds. To keep analyzing through results for programming, facilities and measurements, The Researches have to use new procedures and techniques. Google's team started MapReduce programming system which aims to manipulate huge data sets in disseminated frameworks; this design lets software engineers create applications that are extremely valuable to large data processing. The motive of this paper is to explore MapReduce research techniques and to increase current research efforts to improve the execution of MapReduce and its capabilities.
Role of FDI on Employment Scenario in India
Authors:   Research Scholar, KIIT School of Humanities, KIIT University, Bhubaneswar, Odisha, India., Mishra* Mrs. Ronismita , Palit Dr.Swapnamoyee ,   Assistant Professor of Economics, KIIT School of Humanities, KIIT University, Bhubaneswar, Odisha, India
Published: April 2020

Employment generation is treated as an important stimulus for enhancing growth in the developing countries. It is quite easy to believe that FDI inflows can provide the solution for many economic issues in the economy, but in case of employment creation this effect is quite convoluted in India. The central objective of this paper is to find out the relationship between FDI inflows and employment generation in India during the period 1991 to 2018. This research paper uses secondary data from different published sources to analyse the influence of FDI on employment generation in India using the relevant descriptive analysis.FDI has both backward and forward linkages in employment creation in India. FDI shows a three times increase in growth rate in the second decade than in the first decade, i.e., during 2002 to 2012 in the service sector in India. Banking and insurance sector is the first in attracting major FDI proposals followed by the telecommunication sector, which is in second position in attracting FDI in India. In the service sector FDI generates highest job opportunities than any other sector in India. The result of this study shows that employment generation in India during the last two decades is quite detectable, but FDI inflows may not be regarded as a major factor for this growth rate. Thus the government of India should take some policy measures to captivate employment generation in India basically in organised sector.
Blockchain Design for Logistics & Supply Chain Management in Developing Regions
Authors:   Associate Professor and Head of School of Management in Graphic Era Hill University, Bhimtal, Nautiyal* Neeraj , Bisht Mr. Sandeep ,   Assistant Professor at Graphic Era Hill University, Bhimtal, Joshi Mr. Bhavesh ,   Assistant Professor in Graphic Era Hill University, Bhimtal, Pandey Mr. Harshit ,   Assistant Professor in Graphic Era Hill University, Bhimtal, Bisht Mr. Narendra ,   Assistant professor in Graphic Era Hill University, Bhimtal
Published: April 2020

Blockchain led technology is unlocking value to business by boosting supply chain authenticity and expediting the entire operational process for a large rally of projects that are underway in selective industries. The current paper attempt to observe a reality check on the different useful application of blockchain technology over various sectors to reshape the economy in general and over the supply chain and logistics system in particular. The study also validates the enthusiasm of blockchain’s potential i.e., claim for revolutionising business and society over the virtual effect it is creating in the challenging environment of developing regions. Supply chain and entire logistic domain have evolved to be an active participant to took up and adapt to blockchain innovation. The current study adds to the existing literature by driving the subject matter from different studies results concerning blockchain technology along with author own outlook. An observation approach to reflect critics, supporters towards the adoption of technology led by blockchain also developed the foundation of the work.