bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Shadow Banks on the Commercial Bank Lending in India with Reference to the Housing Finance Sector.
Authors:   Assistant Professor - Finance in Institute of Management, CHRIST (Deemed to be University),, P Dr Sreelakshmi , Parpiani Ms.Nidhi ,   MBA in Finance and is a research scholar at Christ University.
Published: April 2020

Significant variations of bank profitability in Indian commercial banks during the period 2009-2018 motivated the critical need to study the impact of shadow banking on the profitability of commercial banks in India. Shadow banking is defined as any institution that offer bank like activities but not regulated as banks. These institutions seem to be on the rise in India thus this research considered to investigate their implications to traditional banks’ profitability. The secondary data in this analysis covered a period of 10years from 2009 to 2018. The multiple linear panel regression model for the bank profitability measures; Return on Asset (ROA), was used as a dependent variable to analyze the data. Shadow banking ratios, variables were used as independent variables in the model. To measure if the loans given by banks to housing sector decreased as a result of housing finance companies, the net aggregate of loans disbursed by banks to housing sector and net aggregate of loans disbursed by housing finance companies were recorded for the past 5 years and significant analysis was made accordingly looking at the data .Shadow banking ratios were derived from monetary aggregates data that is M3, total bank loans and total bank deposits. Regression results indicated thatShadow banking only completes the banking system and has no significant impact on loans of the commercial banks in the Housing Finance sector.
MIMO OFDM Blind Channel Equalization using Multilayer Neural Network in Impulsive Noise Environment
Authors:   Research Scholar, Department of ECE, OUCE, Osmania University, Hyderabad, Telangana, India., Girija* S. P. , Rao Rameshwar ,   Professor, Department of ECE, OUCE, Osmania University, Hyderabad, Telangana, India.
Published: April 2020

Multiple Input Multiple Output (MIMO) system has several input and output antennas for executing the data transmission. Channel Estimation (CE) is required in MIMO, to achieve the effective signal transmission over the various amount of antennas. By using CE over the MIMO, the noiseless data transmission is performed. Hence in this paper, a Multi-layer Neural Network (MNN) is used for identifying the CE and this system is named as Multi-layer Neural Network-MIMO-Digital Filter (MNN-MIMO-CE) is proposed for blind channel equalization. The MNN-MIMO-CE has Feed forward Artificial Neural Network (FANN) with back propagation in Levenberg-Marquardt (LM) algorithm and it has two processes MNN training and MNN testing. LM algorithm is used to train the MNN. These processes are used to provide the CE for different combination of antennas. The performance of the MNN-MIMO-CE method is evaluated in comparison with the existing method [25] through simulations using BER as the performance measure.
Two Level Intrusion Detection Mechanism For Context and Trust in Wireless Sensor Network
Authors:   Research scholar, Department of Computer Science and Engineering, Veltech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology (Deemed to be University) Avadi, Chennai, Tamilnadu, India., Kagade* Ranjeet B. , Balamurugan Dr. P. ,   Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology (Deemed to be University) Avadi, Chennai, Tamilnadu, India.
Published: April 2020

21st century is considered as the era of communication, and Wireless Sensor Networks (WSN) have assumed an extremely essential job in the correspondence period. A wireless sensor network is defined as a homogeneous or heterogeneous system contains a large number of sensors, namely called nodes used to monitor different environments in cooperatives. WSN is composed of sensor nodes (S.N.), base stations (B.S.), and cluster head (C.H.). The popularity of wireless sensor networks has been increased day by day exponentially because of its wide scope of utilizations. The applications of wireless sensor networks are air traffic control, healthcare systems, home services, military services, industrial & building automation, network communications, VAN, etc. Thus the wide range of applications attracts attackers. To secure from different types of attacks, mainly intruder, intrusion detection based on dynamic state context and hierarchical trust in WSNs (IDSHT) is proposed. The trust evaluation is carried out in hierarchical way. The trust of sensor nodes is evaluated by cluster head (C.H.), whereas the trust of the cluster head is evaluated by a neighbor cluster head or base station. Hence the content trust, honest trust, and interactive trust are put forward by combining direct evaluation and feedback based evaluation in the fixed hop range. In this way, the complexity of trust management is carried in a hierarchical manner, and trust evaluation overhead is minimized.
Due Diligence Deployment Model for HR Transformation
Authors:   faculty, Indira School of Business Studies, Pune, India., Deshmukh Dr. Kalpana , Chaudhari Ms. Kavita ,   M.B.A. HR student, Indira School of Business Studies, Pune, India.
Published: April 2020

Organizations with human resources are facing many challenges while providing high quality service to their employees. Worldwide, HR organizations deployed HR helpdesk for handling the queries and inquiries of employees. They are managing employee queries over email, chats and over telephone by providing consistent solution and assistance to them. Many organizations already deployed helpdesk system which handles the employee queries. This method can work well for smaller organizations, but in larger organizations they often lead to frustration and confusion among HR. HR Case Management technology is a BMC remedy which simplifies this process for HR teams and employees to raise the ticket, which gets automatically routed to the right HR agent. The study shows the transitioning from manual helpdesk to deployment of HR Case Management tool by conducting surveys with the organizations which had already deployed query management tool for their employees. Data analysis technique i.e., Gap analysis is used to identify the gaps between helpdesk and HRCM tool and Pugh matrix is used to choose the best practices and features from alternative set of solutions. This research will provide the information and benefits of implementing HRCM tool, to the organizations who are planning to deploy automated tool for handling the queries of their employees. In this research, survey has been conducted with the companies which have already implemented the automated tool in their organization, this will help the HR to recognize which features and best practices to be adopted for their employees. The operations and HR service function focused on providing automation, knowledgebase, transparency to employees, proper collaboration and employee file management capability to HR department.
Forming of Organizational and Economic Mechanism of the Cryptocurrency Market for the Countries with Position of Anticipation
Authors:   Department of Finance, Accounting, and Taxation, SHEI «Pereiaslav–Khmelnytskyi Hryhorii Skovoroda State Pedagogical University», Pereyaslav-Khmelnitsky, Ukraine., Inna Makarchuk , Oksana Perchuk ,   Department of Finance, Accounting, and Taxation, SHEI «Pereiaslav–Khmelnytskyi Hryhorii Skovoroda State Pedagogical University», Pereyaslav-Khmelnitsky, Ukraine, Lіudmylа Yaremenko ,   Department of Finance, Accounting, and Taxation, SHEI «Pereiaslav–Khmelnytskyi Hryhorii Skovoroda State Pedagogical University», Pereyaslav-Khmelnitsky, Ukraine.
Published: April 2020

The article reveals the economic essence of cryptocurrency as an information and technological innovation. The authors have determined that cryptocurrency is a universal global means of payment, exchange, and investing, which exists in the form of a highly protected software code and is characterized by a free market exchange rate. Having considered technical, technological, and organizational aspects of using cryptocurrencies, the authors carried out the comparison of electronic money and cryptocurrency. The done analysis of markets and types of cryptocurrencies has enabled to form a ranking of cryptocurrencies by level of capitalization. The article describes the dynamics of the growth of cryptocurrency market capitalization and the domination of a Bitcoin’s market share. The authors have ascertained strengths of Bitcoin, which had allowed this cryptocurrency to become a useful international means of payment with the high investment potential. The article examines weaknesses of the exchange of cryptocurrency both ordinary consumers and governments. The authors have proven that institutionalization ensured by the formal and informal establishment of rules for functioning of cryptocurrency is necessary for effective functioning of cryptocurrency. The authors have substantiated three positions of institutional support describing the attitude of countries to functioning of a cryptocurrency market: a loyal position, categorical position, and position of anticipation. The authors have developed an organizational and economic mechanism for forming a cryptocurrency market based on functions, methods, and tools of management and suggested directions for undertaking a policy in the sphere of functioning of a cryptocurrency market for countries with the position of anticipation. The process of virtualization of modern society is inevitable. Сountries with the position of anticipation should support the course on innovation by solving a range of regulatory, technical and information issues on the development of the cryptocurrency market, based on leading international experience. The primary tasks should be: granting the legal status of cryptocurrency and developing rules for its circulation, introduction of technological innovations with the participation of the state, large corporations and venture funds, creation of an open ecosystem for interaction of all participants, as well as wide information support at all levels.
The Effect of Vibration against Geometrical Characteristics for Rotation Shaft System
Authors:   PhD Student, Universiti Kebangsaan Malaysia, Jafri* K. , Ramli R. ,   PhD in Gifu University Japan., Azman A. H. ,   PhD from Univ. Grenoble Alpes, France
Published: April 2020

This paper presents several geometrical tolerance (GT) applications and vibration effects in rotational shaft. The impact of vibrations can damage critical components of machines such as bearings, gears and couplings and can be considered as benchmark for fundamental study to reduce the problem and improve the reliability of the components. Variations of GT in shaft models were applied to evaluate geometrical characteristics in translational and rotational parts featuring defects due to position and concentricity errors. The improvement of the shaft performance was conducted using finite element (FE) to establish minimum circumscribed, maximum inscribed and minimum zone. This approach is more accurate to the real model and assembly of mechanical system. The FE was compared with experimental results. Unconstrained vectors are used instead of the vibration frequency analysis to overcome the effects of the assumptions. Vibration frequencies were simulated by Finite Element Analysis of mechanical rotating shaft. It is found that concentricity characteristic has the highest magnitude compared to other characteristic. These effects should be taken into account in the design, installation and maintenance of rotating shafts. The impact and level of damage of the critical parts in the machine can be a benchmark for further studies for tolerance analysis and reliability.
Bone Cancer Detection from X-Ray and MRI Images through Image Segmentation Techniques
Authors:   Assistant Professor (Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, CHARUSAT, Changa, India), Shukla Abhilash , Patel Dr. Atul ,   Dean & Principal (Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, CHARUSAT, Changa, India)
Published: April 2020

This paper is based on integration of the biomedical field and computer science. Paper contains the study of bone cancer and features to predict the type of the same. Related work to find cancer in human body using computer vision is discussed in this paper. Image segmentation technique like sobel, prewitt, canny, K-means and Region Growing are described in this paper which can be stimulated for X-Ray and MRI image interpretation. Paper also shows the result of edge based and region based image segmentation techniques applied on X-Ray image to detect osteosarcoma cancer present on bone using MATLAB. Finally, paper concluded by finding best suited segmentation method for grey scaled image with future aspects.
Design of a Cloud Based Information System for Education Institution using TOGAF ADM
Authors:   Department of Information Systems Management BINUS Graduate Program-Master of Information System Management, Bina Nusantara University, Jakarta 11480, Indonesia., Husein* Segaf , Fajar Ahmad Nurul ,   Department of Information Systems Management BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia 11480, Jakarta, Indonesia.
Published: April 2020

Cloud computing technology allows a service to be accessed from anywhere and anytime through the internet network, this technology can be utilized for organisations to encourage standardisation of business processes for all business units. Muhammadyah as one of the largest education institution in Indonesia currently operates more than 5000 schools from elementary to high school. In general, all schools have similar business processes that are run manually and have almost identical information system requirements. This condition causes no data structure standardisation, no data consolidation between one school and another and the inconsistency of information system development. These problems become the rationale for designing an information technology architecture model using the concept of cloud computing. Based on the results of the analysis on current conditions and using the chosen TOGAF framework, a cloud computing-based information technology architecture model is produced. The information technology architecture consists of vision architecture, business architecture, application architecture, data architecture and technology architecture. Research is expected to contribute to educational institution in Indonesia, especially as a reference in designing information technology architecture.
Disturbance Observer Assisted Error Sensitive Predictive Control for Induction Motors in Sensor less Environment: A Vector Field Control Model
Authors:   Research Scholar, JJTU, Jhunjhunu, Rajasthan, India,, Nayak* B.Meghya , A. Dr. Anupama ,   Deshpande, JJTU, Jhunjhunu, Rajasthan, India
Published: April 2020

The exponentially rise within the demands of Induction Motors in several applications has revitalized academia-industries to develop more robust and efficient IM drives. Amongst the main classically available IM drives efforts are made either to regulate speed or torque. However, the problem inculcated due to parametric mismatch and resulting errors have much addressed. Though, predictive control based approaches are found potential to help current and torque control; however, ensuring optimal controllability under non-linear condition remained a tedious task. Filter based approaches to impose delay that eventually impacts overall control performance. Realizing it as motivation, during this research a highly robust Disturbance Observer Assisted Error Sensitive Predictive Control Strategy for IM control is developed. Subsequently, a completely unique Disturbance Observer-based Model Predictive Control strategy is developed that performs predictive current control and torque-control during a non-linear environment. Our proposed model exploits the concept of Prediction-Error to realize transient controllability. Exploiting the error information our proposed model identified the optimal voltage vector value to be injected to the 3-∅ inverter connected to the PI-based Space Vector Pulse Width Modulation system to perform transient controllability. Structurally, our proposed system encompasses SQIM motor, 3-∅ inverter, PI controller SVPWM, Flux-observer, Torque and Speed controllers, VSI units, etc. The MATLAB 2017a based simulation has revealed that the proposed model is able to do better current control, flux-torque control and torque-ripple suppression, which broadened its employability for varied applications demands fast-torque control during a noisy environment.
The Impact of Technological Changes on Partial Factor Productivity of the Asean-5: A Panel Regression Analysis
Authors:   Department of Science and Technology, Finance and Administrative Division of Science and Technology Information Institute, Philippines., Cayamanda-Ballesteros* Jaqueline R. , Dizon Ricardo L. ,   Assoc. Prof., Polytechnic University of the Philippines, Manila, Philippines
Published: April 2020

This study examined the impact of technological changes on partial factor productivity represented by labor productivity in the ASEAN-5 from 1997 to 2016. The technological changes is represented by gross expenditures on Research and Development (R&D), access to mobile phones, access to internet and patent applications. The study employed the quatitative research design to determine the cause and effect relationship between the explanatory variables and the explained variable. Based on the fixed effect model regression results, gross expenditures on R&D with first lag was acceptable and statistically significant at 5% level of significance. On the other hand, changes in access to mobile phones, access to internet and patent applications although reflected the expected sign of coefficient were found to be insignificant. Furthermore, 99% of the variations in labor productivity is explained by the variations in gross expenditure on R&D, access to mobile phones, access to internet and patent applications. Based on the findings, the paper recommends for strong government commitment through the Department of Science and Technology to increase gross expenditures on R&D to at least 1% of GDP and encourage more patent applications. The Department of Information and Communications Technology should look into the underlying Information and Communications Technology development plan of Malaysia and Singapore in terms of access to mobile phones and access to internet.
Interference Behaviour in Steel Concrete Composite Construction
Authors:   Professor and Head, Department of Civil Engineerig, Mahendra Engineering College, Mallasamudram, Namakkal, Tamil Nadu, India., Vidhya* Dr. K. , Vignesh Mr. M. ,   Assistant Professor, Department of Civil Engineerig, Mahendra Engineering College, Mallasamudram, Namakkal, Tamil Nadu, India., Dhamodharan Mr. P. ,   Assistant Professor, Department of Civil Engineerig, Mahendra Engineering College, Mallasamudram, Namakkal, Tamil Nadu, India., Manishankar Mr. S. ,   Assistant Professor, Department of Civil Engineerig, Mahendra Engineering College, Mallasamudram, Namakkal, Tamil Nadu, India.
Published: April 2020

The objective of this study is to obtain the most effective utilization of steel and concrete by the method of composite construction through obtaining proper interaction between steel and concrete. Composite construction has various advantages compared to normal method of non composite construction. It provides greater stiffness and provides good strength against bending. By providing proper interaction we can obtain a more economical section and sections with good structural properties It is also a fast track construction practice. Both theoretical and software analysis of normal composite section and a section with profiled steel sheeting have been presented. After analysis it is found that shear connectors and profiled steel sheeting are advantageous in strength increment, reducing deflection and other factors.
Intuitionistic Fuzzy IFP Ideals of N-Groups
Authors:   Research Scholar, Rayalaseema University, Kurnool, Assistant Professor, Department of Mathematics, Moodlakatte Institute of Technology, Kundapura, Karnataka State, India., M* Deepak Shetty
Published: April 2020

In this paper the notion of intuitionistic fuzzy ideal of a module over a nearring is considered. We define the notion insertion of factors property (IFP) in case of intuitionistic fuzzy ideal and provide necessary examples and investigate some related properties.
Totobuang Music Enculturation in Ambon City Community Arts
Authors:   Doctoral Degree Program in Arts Education at Universitas Negeri Semarang., Tiwery* Ketrina , Rohidi Tjetjep Rohendi ,   Doctoral Degree Program in Arts Education at Universitas Negeri Semarang., Sumaryanto Totok ,   Doctoral Degree Program in Arts Education at Universitas Negeri Semarang., Wadiyo  ,   Doctoral Degree Program in Arts Education at Universitas Negeri Semarang.
Published: April 2020

Totobuang music is traditional Ambonese music that is usually used in a variety of events both religious rituals and customs, with a diatonic major scale without a semi-tone / half tone. Totobuang itself consists of small gongs with a total of 12-16 pieces that sound melodies, and combined with drums that sound the rhythm. Totobuang music until now is traditional music that is still maintained and exists in modern society with the development of modern music that is growing rapidly. These developments make totobuang music can compete with other modern music. Thus this study aims to analyze and understand the totobuang music enculturation in Ambon City art activities, using qualitative methods with observation data collection techniques, namely directly observing the totobuang music enculturation process, structured and unstructured interviews to get information about totobuang music enculturation. and study documents to support the results of observations and interviews, as well as triangulation techniques to analyze data about how the totobuang music enculturation process in the Ambon City community's wedding activities. The results showed that totobuang music enculturation in the Ambon City community art activities took place through a process of inheritance in a family that continues today. The durability and sustainability of totobuang music in the Ambon City community's art activities has reached six centuries, because there is a cultural awareness from the community to carry out the culture process in their respective families. Art activities that occur in society make totobuang music as traditional music has a place in modern society.
Cloud based Secure Storage of Files using Hybrid Cryptography and Image Steganography
Authors:   Pursuing Bachelor’s Degree, Computer Science, MES College of Engineering, Pune University., Poduval* Vinay , Koul Ashish ,   Pursuing Bachelor’s Degree in Computer Science, MES College of Engineering, Pune University., Rebello Daniel ,   Pursuing Bachelor of Engineering (BE) degree, Computer, Modern Education Society's College of Engineering., Bhat Karunesh ,   Pursuing, Bachelor of Engineering (BE) degree, Computer, Modern Education Society's College of Engineering., Wahul Miss Revati M ,   Faculty, Computer Engineering, M. E. Society’s College of Engineering, Pune.
Published: April 2020

Cloud Computing has made it possible to provide individuals as well as organizations with a utility that is cost-effective. It empowers businesses by delivering these services using the internet. Files can be shared through the cloud. These files may contain sensitive information that needs to be kept hidden from anonymous users. This is done using cryptographic algorithms. High level of security can be provided using hybrid cryptography to encrypt the data. Advanced Encryption Standard (AES) and Triple Data Encryption Standard (3DES) are the symmetric key encryption algorithms used to secure. An asymmetric key encryption algorithm, Rivest-Shamir-Adleman (RSA) helps in providing a hybrid cryptography model. The security of the key generated can be further enhanced using image steganography method Least Significant Bit (LSB). These issues regarding the security and its challenges will be addressed in this paper and also analyse the measures to handle it.
Recommender System using Content Based Filtering for News Portal in Indonesia
Authors:   Master’s, Department Information System Management, Bina Nusantara University, Jakarta, Mahanani Sri Hesti , Valentinus  ,   Master’s, Department Information System Management, Bina Nusantara University, Jakarta, Dennis  ,   Master’s, Department Information System Management, Bina Nusantara University, Jakarta, Mauritsius Tuga ,   Master’s, Department Information System Management, Bina Nusantara University, Jakarta
Published: April 2020

Nowadays there is much news on the internet. It makes the reader become information overload. The reader does not know the most important news for them. The digital era, especially in Indonesia, generated data in Bahasa very fast that referred to as big data. Data mining by process big data can collect the data insight that the reader already read. This paper proposes a new model to proceed with Bahasa news and use the TF-IDF method to collect the feature of the article. Cosine similarity from the news article used to rank the new unknown articles to recommend articles based on their preference. we can filtering the stream of information and highlight the most likely article they will read but based on their preference that we already collect implicitly from the article that they read it, it’s a scroll depth of the article they read.Then we can serve the news more personalized from what they love to read.
Hybrid Pneumatic-Hydraulic Actuator with Adaptable Stiffness
Authors:   Mechatronics Engineering Department, the University of Jordan, Amman, Jordan., O.* Al-Habahbeh , B. Bino ,   Mechatronics Engineering Department, the University of Jordan, Amman, Jordan, M. Surbil ,   Mechatronics Engineering Department, the University of Jordan, Amman, Jordan,, M. Badrieh ,   Mechatronics Engineering Department, the University of Jordan, Amman, Jordan,, S. Khasawneh ,   Mechatronics Engineering Department, the University of Jordan, Amman, Jordan
Published: April 2020

This work presents a method to control the stiffness of a hybrid actuator. The resulting stiffness is required to meet the conditions of real life applications, such as human prosthetics, human-robot interaction, and delicate robot interaction. The hybrid actuator is basically a pneumatic-hydraulic muscle, which can operate simultaneously in both pneumatic and hydraulic modes. The main challenge in this work is to manage the switching between pneumatic and hydraulic modes. In pneumatic mode when a load is applied to the actuator, air in the tank is allowed to compress resulting in muscle extension. While in hydraulic mode, the fluid is pressurized and the resultant system stiffness is higher. In both cases, the McKibben muscle is full with hydraulic fluid. It has been shown that the performance of the actuator is mostly the same in terms of response and bandwidth in both modes of operation. The use of different types of controllers to improve the system performance is investigated. It is found that the parallel configuration combined with PID controller is the best solution for achieving the required muscle performance.
Technological Developments for Lake and River Water Contamination Monitoring Systems Across the Globe
Authors:   Research Scholar, Department of Computer Science & Engineering, VTU RRC, Bangalore, City, India., M. Dinesh , S. Dr. Prakash ,   Department of Computer Science & Engineering, East Point College of Engineering, Bangalore, India.
Published: April 2020

This paper is an outcome of investigation to understand how the technology has been involved in monitoring the quality of water in realtime situation around the world. From the review of many papers it’s evident that water quality monitoring system is very much essentional as the scarcity of potable/good quality water has increased across the world due to various reasons, and its found that new technological methods are used to measure various parameters like Dissolved Oxygen, pH of water, turbidity, temperature etc . Many technologies are used to measure the level of contamination at lakes and other water resources. These technologies are invented in silo for specific measurement. We need an integrated approach to get the measurement of contamination by encompassing in all the angles. With the emergence of technologies like IoT, Cloud, Robotic Process Automation (RPA)., we will be able to develop technology platform that will enable to extrack data which comprehends wide variety of contaminants. This paper specifically focuses on the survey of new emerging technologies that can be integrated for measuring contamination with high precision and accuracy in lakes and rivers.
Single-Sided Braille into Corresponding Text
Authors:   Associate Professor, Computer Science department, SRM Institute of Science and Technology, Chennai, India., Pandian* Dr. A. , Biswas Bipasha ,   Student, Computer Science Department, SRM Institute of Science and Technology, Chennai, India., Kumar Abhishek ,   Student, Computer Science Department, SRM Institute of Science and Technology, Chennai, India.
Published: April 2020

The world is moving at a rate too fast for us to fathom. Our world is not functionally accessible for individual of any disability to be completely independent. For the mankind to move forward with time, a holistic approach in development can create an environment where no individual can feel overlooked. It is estimated that approximately 1.3 billion people live with some form of vision impairment out of which 36 million people are blind [1]. Without proper integration of such people in our society; every discovery, every news is creating a divide between the people whose mental abilities are impalpable otherwise. With this paper, our aim is to convert the Braille books written in regional language (in this case, Hindi) into its corresponding text format so that those people can be part of the world every Scientist, Engineer, a Visionary, every child dreamed of. In this project, a picture of braille text would be fed as an input and a series of techniques in preprocessing, Segmentation, Character Extraction, Character Recognition and Text Conversion will be applied to it resulting in an output image that will be the corresponding Hindi format of that braille text image. The main application of this could be seen in the lives of the families of the visually impaired to understand what is inscribed in the braille format, correction of the answer-script of any braille exams, cross-checking for errors in manufacturing of braille documents, and increase in opportunities for participation of visually impaired in the social section of life.
Data Mining Classification on Hypo Thyroids Detection: Association Women Outnumber Men
Authors:   Professor, Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, India., Gothane Dr. Suwarna
Published: April 2020

Thyroid diseases are common worldwide and affecting health life. Health care is an inevitable task to be done in human life. In this paper, we have made an attempt to diagnosis hypothyroid. This paper analyzes few essential parameters affecting thyroid. Data mining acts as a solution to many thyroid healthcare problems. To overcome the problem we have come here with a novel solution approach to identify key factors affecting hypothyroid using WEKA tool 3.8. This paper presents thyroid data analysis, classification and prediction. The result of the proposed work used for the forthcoming identification to keep track on important factors affecting hypothyroid.
Self-Automated Agriculture System using IoT
Authors:   Department of CSE, FET, Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India., Krishnan K. Swarna , Jerusha K. ,   Department of CSE, FET, Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India., Tanwar Dr. Poonam ,   Department of CSE, FET, Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India., Singhal Ms. Shefali ,   Department of CSE, FET, Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India.
Published: April 2020

The world populationsupposed to reach 9.8 billion by 2050 and is difficult of feed such population . So for feeding the entire population the agriculture sector should be embed with IOT and farmers also should adopt this technology [1]. It is essential to increase the productivity of farming and agricultural process with the help of technologies like IoT.IoT can make farming easier by reducing the cost by decreasing the intervention of farmers in this field through automation. This paper aim is to develop a self- autonomous agriculture system works by connecting physical devices and systems to the internet. IoT is a very promising technology to drive the agricultural sector, it is the backbone for sustainable development mainly in developing countriesthat are experiencing rapid population growth like China, India etc, stressed natural resources, agricultural productivity reduction due to climate change. Hence the paper aims at making the agriculture smart using IoT technologies. The projects include a GPS based robot to perform tasks like weeding, spraying, moisture sensing, bird scaring, keeping vigilance, etc. This project requires smart irrigation with smart control and best decision making based on accurate real time data. Thisincludes crop management, waste management, warehouse management, theft control etc. Controlling of all the operations will be through a remote smart device like phone or computer connected to Internet and the operations will be performed by using sensors, Wi-Fi or ZigBee modules, cellular, LoRa,camera and actuators with micro-controller and raspberry pi [2].
Simulation of Crack Propagation in Some Self-Compacting Concrete Structures and Determination of Their Strength and Ductility Performances
Authors:   Associate Professor, Department of Civil Engineering, Smt. Kamala and Shri. Venkappa M Agadi College of Engineering and Technology, (SKSVMACET) Lakshmeshwar-582116, Karnataka State, India., Halakatti* Vijayakumar
Published: April 2020

A study on the crack propagation, strength and ductility performances of some self-compacting concrete (SCC) structures with and without steel fibers can be made through experiments. But testing is laborious. For large structure like dam, testing is impossible. Sometimes, there could be insufficient laboratory facilities. Under such circumstances, the non-linear analysis of concrete structures became a novel design tool. It employs the power of computer simulation using finite element method (FEM) based software to support the structural engineers. The ATENA software uses smeared crack approach and is based on the Bazant’s crack band theory. The experimental total fracture energies of both SCC and steel fiber reinforced SCC (Steel fibers of length 25mm@ 0.6% by volume of mix) beams of strength M50 determined by RILEM’s work of fracture method, corresponding material properties and tension softening behavior are used as input data in the software. The simulated load-deflection/CMOD curve could be used to access the strength and ductility performances of the structures. The strength is identified by peak load and ductility by extension of tail end of this curve beyond yield load. Hence, this paper presents an appropriate methodology to determine the performances by simulation. Ductility is the desired property required for structures during earthquake. This can be improved by increasing the main steel reinforcement, incorporate fiber reinforced plastic (FRP) and steel tubes to impart it. But this could be uneconomical. In such cases, it is to be investigated that ductility can be improved by incorporating steel fibers of appropriate aspect ratio and volume in the mix. The ductility ratio (μ) determined from the load-deflection/CMOD curves is further used to evaluate the response reduction factor(R) by an empirical formula as established in earlier investigation. The R used in base shear formula of IS 1893(Part-I)-2002 code considers the ductility property of the structures that are subjected to lateral base shear during earthquake. Thus this study is carried out to identify the usefulness of simulation technique which is a new and robust tool to assess these performances of the structures using ATENA software that avoid the tedious testing procedures. This study investigates the influence of steel fibers in SFRSCC structures to improve their strength and ductility performances compared to SCC structures.
693 Retrieval Number: F7280038620/2020©BEIESP DOI:10.35940/ijrte.F7280.038620 Journal Website: www.ijrte.org Published By: Blue Eyes Intelligence Engineering & Sciences Publication Monitoring of Various Crucial Parameters and Control of Salinity Damage in Banana Crop (Banntex) using WSN and IoT
Authors:   Assistant Professor, E&TC Department, D.Y. Patil College of Engineering, Akurdi, Pune., Desai Lina D. , Singh Dr. R.P. ,   Professor, Maulana Azad National Institute of Technology, Bhopal, MP, India., Khairnar Dr. D.G. ,   Professor, Electronics and Telecommunication D.Y.Patil College of Engg. Akurdi, Pune.
Published: April 2020

In India 60 percent of total cultivated land is fully dependent on rain and if there is less than average rain fall than it results into significant reduction in the overall agricultural production and it leads heavy losses to farmers and ultimately it affects the overall gross domestic production of India. Banana is an important fruit and it is one of good cash crop in India. In this research work, our aim is to design and implement Banana Crop System (Banntex) to sense crucial parameters and early detection of diseases and control using Wireless Sensor Networks (WSN) and Internet of Things (IoT). To implement Banntex we uses advancement of new technology like Internet of Things (IoT), Sensors development and Improved Wireless Sensor Networks, we can design and developed Precision Agriculture systems in which various sensors are used to measure the different parameters like temperature of air and soil, relative humidity, water potential of banana field, pH value of soil, Electric conductivity of soil, salinity of banana field soil, Moisture changes in soil, soil quality, fertility of soil, ground water quality and crop growth. Based on the measured parameters this system can be used to control and automate the farming processes. This precision system empowers farmers to keep updated, early detection of soil parameters and take necessary steps to improve it further. It results to improve the biomass, roots and overall growth of banana crops and finally it increases productivity and improved quality of farming with minimum manual tasks. Experimental results will show the significant improvement in the Banana crop production and Quality of Banana Fruit using our proposed Banntex System.
Digital Business Planning for Waste Recycling using Service Oriented Architecture
Authors:   Department of Information System Management, Bina Nusantara University, Jakarta, Mahanani Sri Hesti , Alatas Sovia ,   Department of Information System Management, Bina Nusantara University, Jakarta., Mauritsius Tuga ,   Department of Information System Management, Bina Nusantara University, Jakarta
Published: April 2020

Waste is one of the biggest problems in Indonesia. The number increases with increasing population and lead to the development of waste bank that are manage irregularly by the community. By implementing digital business using SOA, the entities in the waste management ecosystem will be integrated. An end to end processes will be centralized into one application and automation making this business can be controlled efficiently. The use of digital business promises to encourage Indonesian citizens to manage waste by selling garbage to waste banks and revolutionizing the way in organizations accelerate processes and competencies and take leverage of market opportunities. The proposed system is a functioning mobile and web-based application as an enabler of environmental ecosystems, especially waste management problem. Waste disposal from household, market, office, roadside, commercial areas and various location will be deposited to the nearest waste bank. Regarding to this issue, we created digital business planning based on Service Oriented Architecture (SOA) for waste management.
Organizational Ergonomics and its Framework
Authors:   Master of Technology Scholar, Department of Mechanical Engineering, Kurukshetra University, Kurukshetra, Haryana, India., Chandra Sharad , Khan Irfan ,   Assistant Professor, Department of Mechanical Engineering, Kurukshetra University, Kurukshetra, Haryana, India.
Published: April 2020

The work proposes that the ergonomic infrastructure of any organisation consisting of structural, technical, relational condition between organisational and stakeholders plays an important role as whole in the development of the ergonomics conditions. These conditions focus on positioning of stakeholders towards ergonomics issues, relationship between stakeholders and strategies they used for implementations. It also includes influences of the culture, attitude and exception of the organisation into implementation of ergonomics as engineering process. It is important to include all such elements because it causes issues at the time of ergonomics proactively (design phase), reactively (in response to injuries, discomfort and compensation claim).
GIS based Landslides Susceptibility Mapping using Probabilistic Certainty Factor for Hazard Zonation in Mandakini Valley
Authors:   Esri India Technologies Ltd, University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi, India., Joshi* Seema , Garg J.K. ,   University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi, India., Kaur Amarjeet ,   University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi, India.
Published: April 2020

Landslides are highly threatening a phenomenon which is very common in hilly region and mountainous regions. These landslides trigger major risks leading to heavy losses in terms of life and property. Many studies were conducted globally to determine Landslide vulnerability of different locations. In order to assess vulnerability, there were few studies around Landslides Susceptibility mapping also whose main objective is to identify high-risk vulnerable areas, there by applying measure to reduce the damage caused, if it were to happen in near future. In literature, there are many methods available for predictive susceptibility mapping of landslides. However, identification of any of the prevalent method for a specific area require utmost care and prudence because land sliding is a result of complex geo-environmental spatial factors. Mandakini valley is highly ruggedized terrain with intensive rains during monsoon season. As a result, Landslides are very common in the Mandakini River valley and its catchment area. These landslides cause severe damage to human settlements and infrastructure present in this area. In this study, we have used certainty factor method in order to generate landslide susceptibility map for the catchment area of Mandakini river. Certainty factor approach is a bi-variate probabilistic method which uses Geo-environmental parameters like elevation, slope, aspect, rainfall distance away from river, soil characteristics etc. to generate landslide susceptibility map. A Script was developed in ArcPy - a python package to design tools for generating susceptibility map. These tools can run both at desktop level and at server level and generate results in an integrated way. Esri ArcMap 10.7 is used in order to generate required data layers and thematic maps. Overall, this paper leverages GIS technology and its tools to performs Landslide Susceptibility Mapping using Probabilistic Certainty Factor and generate Hazard Zonation of Mandakini Valley using an automated script for generating Landslide Susceptibility Mapping and Hazard Risk Zonation. It was found that out of 696, total 136 villages are under high risk of landsides, total 329 villages are under moderate risks and around 231 villages are under low risk zonation impacting lives of approx. 216166 people. Also, it is worth mentioning that a GIS based script was developed to automate generation of Landslide Susceptibility Maps which can be used where the same geological and topographical feature prevails.
Different Machine Learning Models Based Heart Disease Prediction
Authors:   Master Of Technology, Department of Internet of Things, SRM Institute of Science and Technology, KTR Campus, Chennai, Tamilnadu, India., N Arunpradeep. , Niranjana Dr. G. ,   Associate Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, KTR Campus, Chennai, Tamilnadu, India
Published: April 2020

Heart related disease is one of the crucial reasons for high amount of people’s death in the whole countries and it’s considered as life forbidding disorder, in addition to that this effect takes place in whole earth. Heart disease will affect the early stage of age peoples also. Thus, heart related disease creates the more challenges to people living and identify the causes and detection step is more important in nowadays. So, we need to develop of automatic system with more accurate and reliable for early detection of heart disease. For this reason, various machine learning models are developed to predict heart related disease; different medical data package is processed to automatic analysis with get more accuracy. In this paper, we discuss the available machine learning models such as KNN, SVM, DT and RF algorithms for prognosis of heart disease with high certitude, precision and recall.
Palm and Fingerprint Based Multimodal Biometric Technique
Authors:   Department Of Computer Science & Engineering, BBD University, Lucknow, India., Wajid* Mohd. Saif , Srivastava Gaurav Kumar ,   Department Of Computer Science & Engineering, BBD University, Lucknow, India., Baiswar Neeraj ,   Department Of Computer Science & Engineering, BBD University, Lucknow, India, Singh Akanksha ,   Department Of Computer Science & Engineering, BBD University, Lucknow, India., Verma Pooja ,   Department Of Computer Science & Engineering, BBD University, Lucknow, India.
Published: April 2020

The biometric based personal authentication method is a technique used for computing and analyzing the physical and/or behavioral characteristics of the person. The in future the biometric system may provide an alternative of digital solution to the ID cards, passwords, driving licenses, passports, etc. Nowadays the researcher and scientist are given interest on multimodal biometric because multimodal biometric gives more security and reliability over the single biometric technique. In this paper, we proposed a multimodal biometric technique based one palm and fingerprint. The IITD palmprint and UPEK fingerprint database used for the experimental evolution.