bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of Clearance Volume for Performance Improvement of Reciprocating Compressor
Authors:   Mechanical Department, Vishwakarma Institute of Technology, Pune, India., Patil Jayesh Ravindra , Bhagat Rajkumar ,   Mechanical Department, Vishwakarma Institute of Technology, Pune, India.
Published: August 2019

The paper addresses to engineers who do design and optimization work in the field of reciprocating compressors. In this paper theoretical and exact contemplations are given which permit to foresee the valve misfortunes. Suction valve misfortunes are additionally bring about a decrease of limit. The most effective part in the development of a reciprocating compressor depends strongly on improvement of its performance. For this purpose, a performance characteristic evaluation of a two stroke reciprocating air compressor is carried out in this paper. By and large stream misfortunes of compressor valves are affected by the valve geometry as well as are intensified by valve pocket misfortunes. The aims were to improve compressor performance by illustrating the effects of various parameters such as clearance between head and piston, stroke length, friction losses, compressor running time, background working condition and air leakage. The effect of each parameter was compared with given performance condition and after it was demonstrated the most important parameter on the performance. The parameter was measured using three techniques. The experiment addressed some factors that led to the inefficient performance of the reciprocating compressor air system and cause energy losses. The results advocate the optimal time for starting time of starting each stage of the two–stage reciprocating compressor. The work in addition may give a insight for the development of the design of multi-stage compression and presents some key design parameter.
Innovative Behavior among Teachers: Empirical Evidence from High-Performance Schools
Authors:   Head of Department, Department of Consultation, Mentoring and Coaching in Institute Aminuddin Baki Northern Branch, Ministry of Education Malaysia., Hashim Noor Hashimah , Yaakob Mohd Faiz Mohd ,   Senior Lecturer, School of Education and Modern Languages, College of Arts and Sciences, Universiti Utara Malaysia., Yusof Mat Rahimi ,   Educational lecturer from Universiti Utara Malaysia., Ibrahim Mohd Yusri ,   Senior Lecturer, Universiti Malaysia Terengganu (UMT) Malaysia.
Published: August 2019

Education is decisive to structure a greater nation and shaping its citizens’ ability to compete globally. It is one of the major drivers for social capital progress and the country’s economy. As such, the education sector needs continuous monitoring to identify areas for development. Teacher’s Innovative Behavior plays an important role in the maintenance of quality education. However, in Malaysia, far too little attention has been paid to Innovative Behavior among teachers. Previously published studies are limited to surveys research design and strategies. Therefore, this mixed methods study aims to identify the Innovative Behavior of teachers from high-performance schools. A questionnaire of Idea Generation; Idea Promotion and Idea Realization was distributed to 629 teachers. Meanwhile, four principals and eight teachers were interviewed to corroborate or refute the quantitative findings. The findings suggest that Idea Generation; Idea Promotion and Idea Realization have been practiced at high levels in the schools. This study brings important messages to policymakers, curriculum developers, and relevant authorities. They can use these findings to formulate regulations to promise a beneficial educational atmosphere and enhance the quality of education.
Mathematical Modelling Of Structures Using Model Order Reduction Technique
Authors:   Mechanical design Engineering, Vishwakarma Institute of Technology, Pune, India., Ajahar M Daroga , Nalawade Dr. M. K. ,   Mechanical design Engineering, Vishwakarma Institute of Technology, Pune, India.
Published: August 2019

Today’s world is a world of simulation. Now a days, every product is first designed in virtual domain and then tested for actual implementation. To be able to perform such accurate virtual domain analysis, an accurate mathematical model is needed to be designed in first place. Specifically, in the field of dynamic analysis, so as to continuously monitor the system, the requirement a high-fidelity simulation models in all industries is rising rapidly and this has now become an important part of modern simulation strategies. FEA simulation software’s nowadays could provide very accurate results but they cannot be used directly for dynamic simulations where the environment is continuously changing (input forces, random vibrations etc.). Therefore, this paper deals with design of a mathematical model of a beam to overcome the above stated issue. The technique so used is Model Order Reduction. This method develops an efficient reduced model by reducing the degrees of freedom and also preserving a characteristic behavior of the system. The methodology deals with extracting the mass, and stiffness matrices from FEA simulation software, reducing their size (order), building a second order system using reduced sizes of mass and stiffness, analyzing mode shapes vectors and nodes for input force applications, and generating a state space model of the system.
Design and Analysis of Multi-Stage Intercooler
Authors:   Mechanical (Design) Department, Vishwakarma Institute of Technology, Pune, India., Nimbal Samarth. S. , Nalawade Mukund. K. ,   Mechanical Department, Vishwakarma Institute of Technology, Pune, India.
Published: August 2019

This paper deals with the design and analysis of air-cooled heat exchangers. Heat exchanger means exchange the thermal duty to the next stage compressor by the external source. It will help to get an effective fluid to next stage compressor here working fluid as air so it is divided under air-cooled heat exchanger. In this, we should know what is problem occurs in the current scenario that is our objectives work on those objectives with help of theoretical knowledge, theoretical consideration, an analytical calculation that should be validated with software. For fluid flow use of pressure vessels prepare with the help of ASME codes from pressure vessel calculation we get thickness. Thermal calculations are made with the help of D. Q. Kern method from the thermal calculation we get a Heat load and required area for heat transfer. Use of that software like ANSYS, HTRI they give results if it satisfied our condition we compare that results with experimental values. It will conclude whatever we get an outputs those are right are wrong.
Green Energy: Modeling and Simulation of Thermoelectric Generator for Production of Electricity from Air Conditioner Waste Heat
Authors:   Professor, Electrical and Electronics Engineering, Sethu Institute of Technology, Kariapatti, Tamil Nadu, India., Kanimozhi K. , Rabi B. Raja Mohamed ,   Professor, Mechanical Engineering, Sethu Institute of Technology, Kariapatti, Tamil Nadu, India.
Published: August 2019

In this paper modeling and simulation of thermoelectric generator (TEG)modules is validated using MATLAB. The TEG model is developed with suitable mfiles and further the model is extended for generating electricity from waste heat liberated by air conditioners. These waste heat may lead to global warming and causes pollution. Hence this problem is addressed in this paper and thermoelectric generators are used to generate power. TEG is called a green technology as all parts are fixed and power produced is not wasted. Thermoelectric power generator converts waste heat in to electric energy. Hence thermoelectric power generation technique aids in the conversion of waste-heat energy into electrical power .So the economical wastage of thermal energy is avoided .The power production is abundant and also atmospheric pollution is avoided. As a result overall conversion efficiency of system is enhanced. The produced energy can be used for lighting a LED bulb, charging the mobile batteries.
Cognitive Computational Model for Evaluation of Fintech Products and Services With Respect To Vijayawada City, Ap
Authors:   B.Tech.,MBA.,Ph.D.,M.Tech. Professor, Department of Business Management Sri Padmavathi Mahila Viswavidyalayam-Tirupathi-AP, Katyayani. Dr.J. , Varalakshmi Ch. ,   Research Scholar, Department of Business Management Sri Padmavathi Mahila Viswavidyalayam-Tirupathi-AP
Published: August 2019

Now in the era of artificial intelligence and digitalisation financial sector is adopting various digital tools in their products and services offerings. That’s why user acceptance of technology in the financial sector has became the important field of the study. Internet banking, mobile banking,ATM,cash deposit machines, instant payment services, online trading in stock markets, online funds transfers,E-wallets,wealth management, peer to peer lending,blockchain technology are various fintech products and services. This study is an attempt to analyse the users acceptance of technology in their financial management decisions by using cognitive computational model. Cognitive computing provides a great opportunity for users to understand the true nature of risk for the industry especially new upcoming risk such as cyber security. This study mainly focuses on how different cognitive factors such as perceived expenditure, ease of time, level of risk, service quality, frequent use of automated tools, socio cultural factors, perceived trust, perceived usability and perceived convenience to use influence the users motive to adopt and utilise the Financial Technology.
Failure Analysis of Strap Joint
Authors:   Mechanical Engineering, Vishwakarma Institute of Technology, Pune, India., Shinde Minakshee R. , Chavan Umesh S. ,   Mechanical Engineering, Vishwakarma Institute of Technology, Pune, India., Deshmukh Kishor P. ,   Mechanical Engineering, VIT University, Vellore, India.
Published: August 2019

In Exhaust after treatment system strap joint is used for mounting sensor table on which DP, NOx, EGTS, PIN sensors are mounted. While, assembling the sensor table on exhaust system using strap joint multiple issues raised. In which, Strap Bolt Loosening Issue during Vibration Test, Plastic Deformation of Heat shield (outer body) and Bottoming Out of the strap. Under Strap contact area plastic deformation of heat shield is due to increasing contact pressure so that needs to check the recommended value of torque to avoid failures. The basic design assembly of straps consists of T bolt, nut, and trunnion with the strap. In this paper analysis and calculations for torque and parameters affecting the system function have been done to minimize the issues. To reduce plastic deformation internal stand support provided which increase the stiffness of heat shield and observed results showing Bridge strap design concept can be helpful to avoid localized plastic deformation near T-bolt. Calculations at assembly load showing maximum stress and contact pressure near the T bolt. Also effect of inertia load described to check slippage of the strap and after treatment system.
Disease Prediction Using Snn over Big Data
Authors:   M.Phil Research Scholar, Dept of Computer Science, PRIST University, Chennai city campus., Chitravathi R. , MCA. G. Kanimozhi ,   Assistant Professor, Dept of Computer Science, PRIST University, Chennai city campus.
Published: August 2019

Enormous information and its strategies not just assistance the biomedical and social insurance segments to estimate the illness expectation yet in addition the patients. It is hard to meet the specialist at all the occasions in clinic for minor indications. Enormous information gives fundamental data about the maladies dependent on the indications of the patient. These days’ individuals need to find out about their wellbeing, ailments and the related medicines for their advancement. Anyway existing medicinal services framework gives organized info which needs in dependable and exact forecast. Here, Sensational Neural Network (SNN) is proposed which recognizes the most precise malady dependent on patient’s input which advantages in early discovery. Electronic Health Record (EHR) keeps up and refreshes persistent wellbeing records which encourage an improved expectation model. Enormous information utilizes both organized and unstructured data sources which result in moment direction to their medical problems. The framework takes contribution from the clients which checks for different illnesses related with the side effects dependent on breaking down an assortment of datasets. In the event that the framework can't give reasonable outcomes, it private the clients to go for Clinical Lab Test (CLT, for example, blood test, x-beam, and sweep so on where the transferred pictures are sent for the successful profound learning forecast. The various parameters incorporated into viable programmed multi ailment forecast incorporate preprocessing, grouping and prescient examination. The principle target of the proposed framework is to distinguish the sicknesses dependent on the manifestations and give legitimate direction for the patients to take treatment rapidly immediately in a helpful and proficient way.
Hybrid Classification Technique for Sentiment Analysis of the Twitter Data
Authors:   Assistant Prof. in Chandigarh University, Gharuan, Mohali, Punjab, India., Khajuria Vinayak , Singh Dilbag ,   assistant professor at Chandigarh University, Gharuan, Mohali, Punjab, India
Published: August 2019

Sentiment can be described in the form of any type of approach, thought or verdict which results because of the occurrence of certain emotions. This approach is also known as opinion extraction. In this approach, emotions of different peoples with respect to meticulous rudiments are investigated. For the attainment of opinion related data, social media platforms are the best origins. Twitter may be recognized as a social media platform which is socially accessible to numerous followers. When these followers post some message on twitter, then this is recognized as tweet. The sentiment of twitter data can be analyzed with the feature extraction and classification approach. The hybrid classification is designed in this work which is the combination of KNN and random forest. The KNN classifier extract features of the dataset and random forest will classify data. The approach of hybrid classification is applied in this research work for the sentiment analysis. The performance of the proposed model is tested in terms of accuracy and execution time.
Machine Learning For Prognosis of Life Expectancy and Diseases
Authors:   Dept. of Information Technology, Manipal University Jaipur, Jaipur, India., Agarwal Palak , Shetty Navisha ,   Dept. of Information Technology, Manipal University Jaipur, Jaipur, India., Jhajharia Kavita ,   Dept. of Information Technology, Manipal University Jaipur, Jaipur, India., Aggarwal Gaurav ,   Dept. of Information Technology, Manipal University Jaipur, Jaipur, India., Sharma Neha V ,   Dept. of Information Technology, Manipal University Jaipur, Jaipur, India.
Published: August 2019

Longevity depends on various facets such as economic growth of the country, along with the health innovations of the region. Along with the prophecy of existence, we also figure out how sensitive a particular mainland is to few chronic diseases. These factors have a robust impact on the potential life span of the population. We study the biological and economical aspects of continents and their countries to predict the life expectancy of the population and to perceive the probability of the continent possessing long standing diseases like measles, HIV/AIDS, etc. Our research is conducted on the theory that exhibits the dependency or correlation of life expectancy with the various factors which includes the health factors as well as the economic factors. Two Machine learning algorithms simple linear regression, multiple linear regression are used for predicting the expectancy of life over different continents, whereas, decision tree algorithm, random forest algorithm, and were applied to classify the likelihood of occurrence of the disease. On comparing and contrasting various algorithms, we can infer that, multiple linear regression produces the most accurate results as to what the average life expectancy of the population would be given the current features of the continent like the adult mortality rate, alcohol consumption rate, infant deaths, the GDP of the country, average percentage expenditure of the population on health care and treatments, schooling rate, and other such features. On the other hand, we study five diseases namely, HIV/AIDS, measles, diphtheria, hepatitis B and polio. The experiment concluded that, on majority, random forest produces better results of classification based on the economic factors of the combination of various countries of different continents.
Numerical Modeling on Heat Dissipation from Electronics through Water-Titanium Carbide Nanofluid
Authors:   Department of Production Engineering, Veer Surendra Sai University of Technology, Burla (Sambalpur), Odisha, India., Kund N. K.
Published: August 2019

In enduring examination, CFD codes stand established and executed with water-TiC nanofluid to envision the thermal alarms of ICs. The convective governing equalities of mass, force and drive are computed for envisaging the thermal issues of ICs. The time pace selected throughout the intact computation is 0.0001 s. The soundings affect CFD forecasts of temperature curve, temperature arena plus fluid-solid boundary temperature of IC. The fluid-solid boundary temperature of IC is viewed as 310 K. This stands far less than the chancy limit of 356 K temperature wished for the objective of outwitting thermal cataclysm of IC. Tritely, the temperature of water-TiC nanofluid stands peak contiguous to the IC locality. Further, the temperature of water-TiC nanofluid gently drops with improvement in aloofness from IC. Afterwards, this becomes surrounding temperature in the distant arena precinct. The analogous tinted temperature curve stands accessible. Besides, the harmonizing graph of temperature against distance from IC stands revealed. Tritely, the evolution of CFD construal stay beside the capabilities of stances.
An Acquisition On Big Data Model For Quality Tracing Of Iron And Steel Industries
Authors:   Assistant Professor (Mathematics), Sri Krishna Arts and Science College, Coimbatore, India., Priyadharsini S. , Ponnalagu K. ,   Professor (Mathematics), Sri Krishna Arts and Science College, Coimbatore, India., Bebina E. Glory ,   M.Sc. (Mathematics), Sri Krishna Arts and Science College, Coimbatore, India., Aarthi A.V.R. ,   M.Sc. (Mathematics), Sri Krishna Arts and Science College, Coimbatore, India.
Published: August 2019

Quality determine is essential affair for steel industries. Due to complication and variation of nature input that turn to be changed into many forms. Due to this, it is tough to explicit the report and trace over the whole product life cycle from designing, construction, etc. According to big data approach, study of the essence of steel brand and the factor of their manufacturing system and it is effective viable multi row system which consists of four structure , [1]the basis quality bill of material [BQBOM] ,[2]the general process bill of material[GPBOM],[3]the production and scheduling bill of material[PSBOM] ,[4]the final quality bill of material[FQBOM]. This mode would be useful to builders to frame a kind of scheme in big data production environment.
Parametric Analysis of Tube during Bending Operation
Authors:   Department of Mechanical Engineering, Savitribai Phule Pune University / MIT College of Engineering, Pune, India., Anekar Nitinkumar , Nimbalkar Shrikant ,   Department of Mechanical Engineering, Savitribai Phule Pune University / MIT College of Engineering, Pune, India., Shinde Hanmant ,   Department of Mechanical Engineering, Savitribai Phule Pune University / COEP, Pune, India., Nimje Sunil ,   Department of Mechanical Engineering, Defence Institute of Advanced Technology, Pune, India.
Published: August 2019

Bent tubes have a lot of various industrial applications. It is required for the transportation of fluids or gases. It also used as construction elements in all industries like car, aviation and shipbuilding industry, refrigeration and air conditioning technology, furniture industry. The objective of this paper is to understand the material deformation occurring during the bending of the tube bends and study the effect of parameters viz. bending radius, bending angle, springback on ovality of tube during bending operation. Tube undergoes certain deformation during the bending process which introduces various defects in the tube bends. This will lead the acceptability of tube bends for certain application. For better understanding the approximation of the defect it is necessary to reduce it at the manufacturing level itself. The testing uses different bending die to differ the bending radius and tests are performed at different bending angle. These whole data has been used to find the different defects and also to find the stress induced in the bends using FEA software package.
A Reliable Intrusion Detection System in Wide Area Networks against the assault of DDOS
Authors:   Research Scholar, KLEF, Guntur District, A.P, India., Arshad Mohammad , Hussain Dr. Md Ali ,   Professor, KLEF, Guntur District, A.P, India
Published: August 2019

The real test with the present Web Intrusion Detection Systems is an enormous number of alarms are produced by the customary instruments and strategies where the greater part of them are false positive and less huge. It is hard for the web organize executive or approved client to audit each alarm that is produced by customary IDS apparatus on a bustling constant LAN or WAN condition. Thus, numerous MIM assaults might be undetected, which can make serious harm the system frameworks. Fundamentally, customary location models create countless interruption designs which produce high false positive rate. Because of countless interruption designs, a great deal of time is required for discovery of interruptions on correspondence arrange which antagonistically influences the productivity of the Intrusion Detection Systems. In this paper we proposed a half breed approaches for distinguishing different DDoS (Distributed Denial of Service) assaults in WAN. We directed an inexhaustible study on this works, from which we finished up how we move further on our work.
Novel Algorithm for Enhancing MANET Protocol in Smart Environment
Authors:   Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, Haryana (India)., Devi Munisha , Gill Nasib Singh ,   Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, Haryana (India).
Published: August 2019

Future smart environment will consist of smart devices (objects) that will form an autonomous and distributed ad-hoc network near the user end. This network needs efficient, cooperative and effective protocols for the changing network. So it requires a flexible and unified framework for wireless intelligent devices communication that will permit secure and adaptive routing to fulfill ad-hoc networking requirements. It is important to propose effective protocols and to identify good architecture for the future internet. Active routing protocols update the table of information on a regular basis and keep the mobility factor in control. The result of routing optimization with an efficient and effective scheme to mobility control and energy consumption in MANET-IoT system shows the main solution of Smart Network. Combination of IoT and MANET routing mechanism enhances the lifetime of nodes in the overall smart environment. This combination helps in the provision of services and accessibility for a longer period of time over the future smart environment. This paper presents various securities and safety-related issues of MANET-IoT system, and also advocate the requirement of enhancing routing protocols in a smart environment. In this paper, a new algorithm has been developed to reduce the delay factor of MANET protocol in a smart environment and performance is evaluated between the existing and proposed approach on the active protocol.
Intra-Chip and Inter-Chip Wireless Communication Analysis for Millimeter Wave using Miniaturized On-Chip Antenna
Authors:   Electronics and Communication Engineering, Visvesvaraya Technological University, Dayananda Sagar College of Engineering, Bengaluru, India., N P Deepa , Sudha K.L ,   Electronics and Communication Engineering, Visvesvaraya Technological University, Dayananda Sagar College of Engineering, Bengaluru, India.
Published: August 2019

System on Chip (SoC) is an emerging technology for semiconductor devices that aims for better compaction with reduced interconnects, RC delay, noise, and power consumption. Wired connections between chips, ICs or SoC’s lead to increased heat dissipation, which is undesirable. Hence, mechanisms have been developed for making communication between the chips wireless and use of miniaturized RF antenna is inevitable. In this paper, to analyse the performance of wireless communication over millimeter range, millimeter scale RF antennas operating at frequencies of 20 GHz to 70 GHz are considered. Using ANSYS HFSS software, the scenario for intra and inter chip wireless communication is established using the bowtie antenna operating around 50 GHz and their performance evaluation is done considering the various parameters. An intrachip system of four bowtie antennas is simulated around 50GHz and the S-parameters are plotted and analysed.
Livestock Farming: A Speedy Solution towards an Enriched Nepal
Authors:   Professor, Department of Commerce, School of Social Sciences and Languages, Vellore Institute of Technology, Vellore- 632 014, Tamil Nadu, India., Sundaram Dr. N. , Sharma Dr. Ajay Kumar ,   Assistant Professor (Senior), Department of Commerce, School of Social Sciences and Languages, Vellore Institute of Technology, Vellore- 632 014, Tamil Nadu, India
Published: August 2019

This study is an attempt to analyze the need to revive the economy of Nepal in a speedier manner. The long-term vision of Nepal is to harness it’s hydro-electricity extensively. But, in the immediate future, Nepal needs an industry that would sustain it. Livestock farming is an option that the nation could invest upon. The study touched upon the guideline given by the World Bank and explains why livestock has never been in the forefront seat of this country by analyzing facts and figures.
DALT: Double Anchor-Based Localization Technique for Wireless Sensor Networks using RSS and AoA Measures
Authors:   Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad, Hyderabad, India., Kumar Mamidi Kiran , Prasad V. Kamakshi ,   Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad, Hyderabad, India.
Published: August 2019

Tracking the location of target nodes/objects plays a vital role in disaster management and emergency rescue operations. The wireless sensor network is an easiest and cheapest solution to track the target nodes/objects in emergency applications. Use of GPS installed devices in wireless sensor networks is one of the solutions to track the target node’s location. Installing GPS device on every target node is very expensive and the GPS device drains the battery power, and increases the size of sensor nodes. Localization is an alternative solution to track the target node’s location. Many localization algorithms are available to track/estimate the target node’s location coordinates, but the accuracy of the estimated target nodes is poor. A new localization technique is proposed in this work to improve the accuracy of the estimated location of the target nodes. The proposed technique uses two anchor nodes, and parameters like linear vector segments, received signal strength, and angle of arrival measures in the location estimation process. This work has been simulated in MATLAB. The proposed algorithm outperforms the existing localization techniques.
International Legal Aspect of Scientific (Scientific and Technical) Activity Regulation
Authors:   State Research Institute of the Ministry of Internal Affairs of Ukraine, Kyiv, Ukraine., Smernytskyi Demian V. , Bakal Vitalii P. ,   State Research Institute of the Ministry of Internal Affairs of Ukraine, Kyiv, Ukraine., Budzynskyi Mykola P. ,   State Research Institute of the Ministry of Internal Affairs of Ukraine, Kyiv, Ukraine., Samus Yevhen V. ,   State Research Institute of the Ministry of Internal Affairs of Ukraine, Kyiv, Ukraine., Tryhubenko Maryna V. ,   State Research Institute of the Ministry of Internal Affairs of Ukraine, Kyiv, Ukraine.
Published: August 2019

The article addresses the main aspects and issues of international legal regulation of scientific and technical activities. The basic content of international legal regulation is revealed and its three-level system is singled out. The main deficiencies in the construction of such a system are determined, in particular, the lack of flexibility regarding its international legal regulation. This strips many forms and methods for the implementation of international scientific relations of the adequate legal support level. The major theoretical views on the processes of international legal regulation of scientific and technical activity are reflected. An estimation of the international economic law impact on the formation process of international legal acts system in the field of scientific and technical cooperation is executed. The possibility of differentiating such a bulk of international legal acts into a separate branch of international law is investigated. A special attention is paid to the study of the regional level of international legal regulation of scientific and technical activities. The main deficiencies and advantages of such regulation are highlighted. The necessity of the large-scale involvement of non-governmental international organizations in this process was emphasized. This will provide a new vision on the perspective for the development of international scientific and technical cooperation and its international legal regulation. The existence of a stable viewpoint regarding the necessity of considering international legal acts in the sphere of scientific and technical cooperation as a means of stimulating the competitive advantages of individual states is revealed. The standpoint regarding the opinion that such cooperation can be used as an instrument of pressure from the more developed countries to emerging economies is explored. The necessity of expanding the possibilities of international legal regulation of scientific and technical activity is substantiated.
Quantifying Inference Learning Model to Explore Twitter User Emotions
Authors:   C.S.E, S.R.K.R. Engineering College, Bhimavaram, INDIA., RAJU G.SRINIVASA , KUMAR M.AJAY DILIP ,   C.S.E, S.R.K.R. Engineering College, Bhimavaram, INDIA., RAJU S.SURYANARAYANA ,   C.S.E, S.R.K.R. Engineering College, Bhimavaram, INDIA.
Published: August 2019

Increasing social media used by different peoples express their opinions and feelings in the form sentences and text messages. So that extracting the information from message i.e which consists different issues in text and identifying anxiety depression of individuals and measuring well-being or mood of a community. This is because of its significance in a wide scope of fields, for example, business and governmental issues. Individuals express assessments about explicit themes or elements with various qualities and powers, where these estimations are firmly identified with their own sentiments and feelings. Various techniques and lexical assets have been proposed to break down feeling from normal language writings, tending to various assessment measurements. In this article, we propose a novel inference methodology for quantifying and inferring the Twitters users’ conclusion grouping utilizing distinctive notion measurements as meta-level highlights. We consolidate angles, for example, assessment quality, feeling and extremity markers, created by existing estimation investigation strategies and assets. Our exploration demonstrates that the mix of assumption measurements gives critical improvement in Twitter feeling characterization errands, for example, extremity and subjectivity.
Effectiveness of Magneto-Rheological Damper Placement in Seismic Vibration Control
Authors:   Department of Civil Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India., Bhagyashree  , Kavyashree  ,   Research Scholar, Manipal School of Architecture and Planning, Manipal Academy of Higher Education, Manipal, India.
Published: August 2019

Earthquake is dangerous natural calamities considered in the nature which will destroy the environment completely. The human life along with the structures will be in threat, so a sophisticated structural design is required and hence efficient control algorithm is required to overcome this hazard. The passive and active control system has been developed to control the structures and it is found that active control strategy performs better than passive but because of some limitation like cost effectiveness and reliability semi-active control system is been adopted in recent years. Therefore this work aims at the design of Robust Proportional Derivative Controller along with semi-active damper like Magneto-rheological damper. This controller is a combination of classical PID controller and state feedback controller. The commanded voltage of this controller will be sent to the current driver. This current driver will convert the voltage to current. Magneto-rheological damper in turn receives this controlled current and produces the force required to control the vibration of the structure. The minimum control effort is simulated by placing MR damper in different floors of the structure and results are demonstrated. Optimum placement of the damper plays an important role because of economy and minimum vibration to the least possible consideration.
Hybrid Routing Protocol for Wireless Body Area Networks
Authors:   Department of Computer Science & Engineering, Chandigarh University, Mohali, India., Kaur Prabhjot , Kang Sandeep Singh ,   Department of Computer Science & Engineering, Chandigarh University, Mohali, India.
Published: August 2019

Healthcare is an application where the Wireless Body Area Network (WBAN), the emerging field of Wireless Sensor Network (WSN), can give assistance to the person in case of detection of abnormal activities of the human body without demanding the presence of the doctor. The small-sized sensors can be deployed for continuous monitoring of the physical activities of the human body. In the case of abnormal activity, the sensors will alert the person as well as share the data with the health expert. The information to be sent is very critical so the routing nodes selection must be done in such a manner that the malicious nodes will not get the information. There are various factors which we can count as the selection parameters for taking a node as part of the route. The Trust of the sensor node is very important as if the node is not trustworthy the chances of delivering correct data to the destination node are very less. This may lead to a threat to a person’s life. In this paper we are presenting a routing algorithm which will count the trust of the node as an important factor and update the path if it found any malicious node in between the route.
Diabetic Retinopathy Screening using Machine Learning for Hierarchical Classification
Authors:   Department of Electronics Engineering, Fr. Conceicao Rodrigues College of Engineering, Mumbai, India., Prabhu Nandana , Bhoir Deepak ,   Department of Electronics Engineering, Fr. Conceicao Rodrigues College of Engineering, Mumbai, India., Shanbhag Nita ,   Department of Ophthalmology, D Y Patil University & School of Medicine, Navi Mumbai, India.
Published: August 2019

Diabetic Retinopathy is a consequence of prolonged unaddressed diabetes. It is currently diagnosed by the subjective clinical examination and manual grading of the fundus images by the ophthalmologists. This disease is progressive in nature. Hence early detection and treatment go a long way in helping the patients fight the dire consequences of the disease. Given the fact that number of ophthalmologists is very less as compared to the patients, a cost-effective, computer assisted, automated retina analysis system is highly desirable for the rural health care. This paper proposes an automatic Diabetic Retinopathy detection system based on the presence of bright lesions on the retina which is one of the symptoms of Diabetic Retinopathy. Initially the optic disc is removed from the fundus image as its brightness is similar to that of the bright lesions. Exudates are extracted and its various features are obtained. Later, feature based hierarchical classification is performed for detection of different stages of the disease. This method is based on the same logical steps as followed by the ophthalmologists and hence assures more accurate classification results. Two methodologies, Random Forest algorithm and Artificial Neural Network are explored and accuracy, sensitivity and specificity are evaluated at each stage of classification. The former outperformed the latter. The accuracy obtained using Random Forest are 100%, 85.71% and 87.5% and Artificial Neural network are 100%,78.5% and 66.67% for Stage 1, Stage 2 and Stage 3 respectively.
Audio Tagging System using Deep Learning Model
Authors:   Department of Computer Science and Engineering, Annamalai University/ Annamalainagar, India., Sophiya E. , Jothilakshmi S. ,   Department of Information Technology, Annamalai University/ Annamalainagar, India.
Published: August 2019

Deep learning has been getting more attention towards the researchers for transforming input data into an effective representation through various learning algorithms. Hence it requires a large and variety of datasets to ensure good performance and generalization. But manually labeling a dataset is really a time consuming and expensive process, limiting its size. Some of websites like YouTube and Freesound etc. provide large volume of audio data along with their metadata. General purpose audio tagging is one of the newly proposed tasks in DCASE that can give valuable insights into classification of various acoustic sound events. The proposed work analyzes a large scale imbalanced audio data for a audio tagging system. The baseline of the proposed audio tagging system is based on Convolutional Neural Network with Mel Frequency Cepstral Coefficients. Audio tagging system is developed with Google Colaboratory on free Telsa K80 GPU using keras, Tensorflow, and PyTorch. The experimental result shows the performance of proposed audio tagging system with an average mean precision of 0.92 .
Recognition of X-rays bones: Challenges in the Past, Present and Future
Authors:   Computer Science and Engineering Department , Institute of Engineering And Technolgy, Sitapur Road Lucknow Uttar Pradesh, India., Pandey Mahima Shanker , Soam Dr.Sudhir Singh ,   Computer Science and Engineering Department , Institute of Engineering And Technolgy, Sitapur Road Lucknow Uttar Pradesh, India., Tripathi Dr.Surya Prakash ,   Computer Science and Engineering Department , Institute of Engineering And Technolgy, Sitapur Road Lucknow Uttar Pradesh, India.
Published: August 2019

Image processing tool is a key role in medical uses, by extracting anatomical features the contouring of the regions from medical images. The discovery of bone sketch from X-ray images has recently introduced a new dimension in the literature as it proves to be an important step of radiological imaging analysis. X-ray images are segmented to study bone skeleton where the image is split into several parts, to examine the fracture of bones, and to plan for treatment before surgery. This report's, purpose is to survey digital image splitting methods. In image segmentation, research analysis is important for categories and it is important to provide an overview of assistive segmentation techniques with highlighting advantage and disadvantage.
Modeling and Simulation on IC Cooling using Water Centered SiO2, TiC and MgO Nanofluids
Authors:   Department of Production Engineering, Veer Surendra Sai University of Technology, Burla (Sambalpur), Odisha, India., Kund N. K.
Published: August 2019

In stubborn courtesy, CFD codes became established and executed with water based SiO2, TiC and MgO nanofluids to envision the thermal alarms of ICs. The convective governing equalities of mass, force and drive are computed for envisaging the thermal issues of ICs. The time pace selected throughout the intact computation is 0.0001 s. The soundings affect CFD forecasts of temperature curve, temperature arena plus fluid-solid boundary temperature of IC. Corresponding fluid-solid boundaries temperatures of IC are viewed as 349, 310 and 328 K for water based SiO2, TiC and MgO nanofluids, respectively. The temperature of water-TiC nanofluid stands peak contiguous to the IC locality as it stands far less than the chancy temperature limit of 356 K. Further, the temperature of water-TiC nanofluid gently drops with improvement in aloofness from IC. Afterwards, this becomes surrounding temperature in the distant arena precinct. The analogous tinted temperature curve stands accessible. Besides, the harmonizing graph of temperature against distance from IC remains revealed. The realization of CFD indulgent endure proximate to the services of miens.
Evaluation of Tensile Toughness and Also Turnout Toughness of Abrasion Uproar Soldered Dissimilar Aluminium Lightweight Metal
Authors:   Assistant professor, Department of Mechanical Engineering, Kakatiya University, India, Chanda Radhika
Published: August 2019

Aluminium alloys reveals good mechanical properties when soldered with Friction Stir welding. Thus to get these preferred mechanical properties, particular welding procedure parameters are to become examined. Nowadays aluminium alloys have actually been actually extensively used in industrial uses like aerospace and automobile as a result of their light weight, really good mechanical properties as well as high corrosion resistance. In this work, 3 process parameters including spindle rate, assembly rate and also jump intensity were actually looked at for abrasion rouse assembly. The paper pays attention to technique guidelines that sought after producing effective friction stir welding function.
Law, Rights, and the Colonial Administrative System: A Critical Note on the Frontier Crimes Regulation (1901) in the FATA, Pakistan
Authors: Naseer Noreen
Published: August 2019

With these regulations, the colonial administration consolidated the long-term basis of their power and institutionalised an oppressive administrative-judicial system. For this purpose they also engaged local elites and customs. The administrative-judicial system introduced on the Northwestern border was different from the criminal and civil laws introduced elsewhere in British India. In 1947, when British colonial governance ended and the tribal areas became part of Pakistan, the oppressive colonial system of the Frontier Crimes Regulation (FCR) continued. It is still in force to the present day. In this article, I discuss the control structure of the administrative-judicial system that was imposed through these crime regulations in the FATA. I argue that these regulations are against fundamental rights prescribed in Pakistan’s Constitution of 1973 and the UN Human Rights Charter. I also highlight the plight of tribal people suffering politically, socially, and economically due to these undemocratic and discriminatory regulations, which are unduly unjustified and defended by a group of people with vested interests.
Introduction 2-1
Authors: Raza Syed Sami
Published: August 2019

With this volume, the Review of Human Rights has successfully entered its second year of publication. We have become more confident about its regular publication as well as about success of the overall academic initiative. In this volume we were able to attract five original articles and three book reviews. These articles focus on human rights in the backdrop of global concerns for security. A number of countries make the subject of discussion, especially Pakistan, Germany, USA, Myanmar, and Afghanistan. It is also worth mentioning that this volume introduces at least two new concepts: “necro-biographies” by Michael J. Shapiro and “uneven humanitarianism” by Tani Sebro.
The Legacy of Hannah Arendt’s Banality of Evil
Authors: Carrim Sabah
Published: August 2019

Contemporary thinkers such as Philip Zimbardo, Alexander Hinton and Elizabeth Minnich recently coined the terms Banality of Heroism, Banality of Everyday Thought, and Banality of Goodness respectively (without these concepts being the linchpins of their theses). These terms can be retraced to one thinker in particular who is constantly referred to by them: Hannah Arendt. Arendt’s Banality of Evil, a key concept in her work, was devised to discuss the trial of Adolf Eichmann in 1961. This paper seeks to critically analyze these “banalities,” and ascertain whether they have contributed meaningfully to the existing literature on the problem of evil.