bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and Structure of Professional Competences in The Conditions of Continuing Economic Education
Authors:   Federal State Institution ", Sergeeva* Marina Georgiyevna ,   Research Institute of the Federal Penitentiary Service of Russia”, Moscow, Russia., Oreshkina Anna Konstantinovna ,   Institute for Strategy of Education Development of the Russian Academy of Education, Moscow, Russia., Yastremsky Anatoly Mikhailovich ,   Financial University under the Government of the Russian Federation, Moscow, Russia., Kulinchenko Alexander Viktorovich ,   Financial University under the Government of the Russian Federation, Moscow, Russia., Petrova Leila Amzarovna ,   Peoples' Friendship University of Russia, Moscow, Russia.
Published: October 2019

Introduction. The transition of the Russian Federation to market economy necessitated economic training of specialists for successful work in the new socio-economic conditions. Methods. The efficiency of economic education is regarded in the context of vocational training, taking into account a set of factors that allow considering economic education as a component of global education. Results. Basing on generally accepted principles of continuing education (basic general education, multilevel structure, diversification, complementarity of general, professional and postgraduate education, versatility, succession, integration of educational structures, flexibility of organizational forms), the authors pay special attention to economic competence drawing on the market economy requirements in the preparation of competitive specialists. Discussion. The principle of economic competence establishes the relationship between knowledge as information and knowledge as an activity necessary to form a competitive specialist with a certain level of economic competence in the course of professional education. Conclusion. Continuing economic education is an obligatory component of continuing vocational education. In the context of market economy, it is focused on the formation of competitive in-demand specialist, possessing necessary economic competences, which are formed in the course of economic training and economic education in vocational education institutions.
Mosquito Larvae Detection using Deep Learning
Authors:   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia., Asmai* Siti Azirah , Mohamad Zukhairin Mohamad Nurallik Daniel ,   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia., Jaya Abdul Syukor Mohamad ,   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia., Abdul Rahman Ahmad Fadzli Nizam ,   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia., Abal Abas Zuraida Binti ,   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.
Published: October 2019

Dengue cases has become endemic in Malaysia. The cost of operation to exterminate mosquito habitats are also high. To do effective operation, information from community are crucial. But, without knowing the characteristic of Aedes larvae it is hard to recognize the larvae without guide from the expert. The use of deep learning in image classification and recognition is crucial to tackle this problem. The purpose of this project is to conduct a study of characteristics of Aedes larvae and determine the best convolutional neural network model in classifying the mosquito larvae. 3 performance evaluation vector which is accuracy, log-loss and AUC-ROC will be used to measure the model’s individual performance. Then performance category which consist of Accuracy Score, Loss Score, File Size Score and Training Time Score will be used to evaluate which model is the best to be implemented into web application or mobile application. From the score collected for each model, ResNet50 has proved to be the best model in classifying the mosquito larvae species.
A Hybrid Model using Online and Operator for Traveler Assistance Via Smartphone
Authors:   Computer Science Program, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok, Thailand., Sophatsathit* Nalinee
Published: October 2019

This paper proposes a hybrid model for use by travelers on a smartphone. The principles lie in the combined deployment of 24x7 network that directly serves the travelers and links the existing phone service as an alternate backup choice. Such a redundancy will insure higher reliability in an urgent situation, where many available communication channels are often jammed by panic calls and accesses. In addition, off-line service is also provided as an optional access means to ease the network traffic, whereby important information can be immediately conveyed to the travelers in need of assistance. An information management workflow is also set up to effectively disseminate the relevant information. The proposed system is implemented and tested by volunteers. The results are compared with the predicted outcomes obtained from the preliminary test. It was found that once the users are familiar with the answers, they tend to prematurely exit the application. However, it is not the case with operator assistance as they can continue inquiring freely with the human operator. Future artificial intelligent techniques can be employed to enhance the non-human operations to become as lively as the human service.
Effect of Stiffener Size on Ultimate Strength of GFRP Blade Stiffened Composite Plates
Authors:   Department of Civil Enginering, Anna University, India, F* Pranesh , Kumar K Vignesh ,   Department of Civil Enginering, Anna University, India, Bharadwaj V Sandeep ,   Department of Civil Enginering, Anna University, India, Shabeen S. Rahima ,   Department of Civil Enginering, Anna University, India
Published: October 2019

The ultimate strength of blade stiffened composite plates with various sizes of the stiffener is studied numerically using ANSYS software. The GFRP stiffened composite plates were modeled in ANSYS as SHELL elements with orthotropic properties. The finite element model of the GFRP stiffened composite plates was analysed to obtain deflection, axial deformation and stress contours and the ultimate load values. The obtained results of the finite element model were validated with that of available experimental data. The validated finite element model was used to study the effect of stiffener size. The stiffener size was varied from 10mm to 100mm. It was observed that smaller size of stiffeners were ineffective in stiffening the plate. The optimum size of stiffener was found to be 50mm to 75 mm. .
14 Transistors CNTFET and CMOS Full Adder Cell for Modified GDI Technique
Authors:   Research scholar, Department of ECE, AKTU, Lucknow, U.P, India, Priyanka*  , Singh Dr. S.K. ,   Department of ECE, ABES Enginnering College, Ghaziabad, U.P, India., Dua Dr Piyush ,   Department of Physics, University of Petroleum and Energy Studies, Dehadun, Uttrakhand, India
Published: October 2019

Adder Is Basic Unit For Any Digital System, Dsp And Microprocessor. The Main Issue In Design High Speed Full Adder Cell With The Low Power Dissipation. As We Know Cmos Technology Used For Vlsi Designing Cmos Has Many Drawbacks As High Power Short Channel Effect Etc. Then Cntfet (Carbon Nanotube Field Effect Transistor) Has Been Developed Which Has Same Structure As Cmos. The Difference Between Structure Of Cmos And Cntfet Is Their Channel. In Cntfet Channel Is Replaced By Carbon Nanotube. In This Paper We Compare Full Adder Circuit Using Cntfet With Gdi Technique And Cmos Implementation Of Adder Which Gdi Technique. Gdi Technique Is Used For Speed And Power Optimization In Digital Circuit. This Can Also Reduce The Count Of Transistor Which Affects The Size Of Device.
Linguistic-Based and user-Based Recommending Posts using Two-Level Clustering Methods
Authors:   ME Student, Department of Computer Engineering, Marathwada Mitramandal’s College of Engineering , Pune, India, Joag* Sayali , Dalvi Ms. Rupali ,   Professor, Department of Computer Engineering, Marathwada Mitramandal’s College of Engineering , Pune , India,
Published: October 2019

Online social networks have produced bunches of online social groups where individuals can collaborate and shuffle their thoughts. In spite of, the real problems that conflicts with the user security and convenience are confidentiality break, groups without inception, confusion created from various groups of which user is a member of and difficulty in moderating groups. This can be moderated to an extent by an automated filtering method required to categorizing group members based on their response patterns. This paper proposes clustering of group posts on stylistic, thematic, emotional, sentimental and psycholinguistic methods and members of the group are categorized based on their responses to the posts belonging to different clustering methods. The categorization affords security just like the conflict associated with irrelevant notifications received from more than one groups, via recommending the users, posts which might be probable to be of interest to them. It also helps to identify the group members meant closer to spreading posts that violate group policies. The categorization post shows increased performance where there are large numbers of members in a social group by performing linguistic clustering. The contribution work is to implement location-aware personalized posts recommendation using users’ behavioral patterns and their geographic location. Another, important work is to implement text-to-speech system converting English text into speech using speech synthesis technique. The system gives rating to the users who shares posts depending on clustering. Also system provides read later functionality to the user side. The system has been tested on Twitter API group data where a significant solution to an unaddressed problem associated with social networking groups is offered.
Menstrual Hygiene Practices among Adolescent Girls
Authors:   Department of Fashion Technology, Sona College of Technology, Salem 636005, Tamil Nadu, India, Saranya* Dr. J. , Prakash Dr. C. ,   Masters of Textile Technology from Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India, sampath kumar Dr. S. Kubera ,   Masters of Textile Technology from Anna University, Chennai, Tamil Nadu, India
Published: October 2019

The menstruation cycle plays a major role in every women’s life, with this periodic cycle she undergoes a lot of stress and strains due to her mental and physiological balancing issues, because of the hormone changes. By the time of menstruation, she seeks some comfort with her, for this the sanitary napkins ran a greater part by avoiding the leakages of blood contaminant in her cloths. Some of the pads having wings or flaps that fold over the sides of underwear to protect against from leaks and stains. Also in some rural areas the women’s not much aware of maintaining the menstruation hygiene, they are using some rectangular fabric and can be washed then reused. In the hygiene part of menstruation women are unaware of determining the whole imbalance activities of maintaining cleanliness.
Energy Efficient D2D Based Multicast Communication Through Channel Allocation Scheme
Authors:   Master of Technology, Department of Digital Electronics and Communication Systems from School of Engineering and Technology, Sri Padmavathi Mahila Viswavidyalayam., Vasavi* Boya Kethavaram , Priya C.M.Sri ,   Assistant Professor, Department of Digital Electronics and Communication Systems from School of Engineering and Technology, Sri Padmavathi Mahila Viswavidyalayam.
Published: October 2019

In the earlier transmission schemes the base station is responsible for continuous transmission of packets to the receivers when they are not received properly.in these type of re-transmission the BS experiences a great traffic. This paper considers the concept of channel allocation scheme with partial information of device locations. To implement the users in the geographical area is divided into sub clusters, each sub cluster contains one ACK device and few number of NACK devices. The transmission can be done in the TDMA mode. Then the next step is the joint optimization of NACK-devices association and transmission powers of re-transmitters as an MINLP problem, minimizing the total energy consumption of re-transmitters. Finally solving the problem by using an efficient algorithm for this problem to find good association pattern and transmission power.
Maximizing Energy Saving by Solar Power based Optimal Supply Side Management
Authors:   School of Renewable Energy and Efficiency, NIT, Kurukshetra, Haryana, India., Ghodki* Manish Kumar , Swarup Akhilesh ,   Department of Electrical Engineering, NIT, Kurukshetra, Haryana, India, Pal Yash ,   Department of Electrical Engineering, NIT, Kurukshetra, Haryana, India.
Published: October 2019

Energy saving can be maximized by rectifying the intermediate conversion processes involved during the utilization of solar energy. The system eliminates the transformation of electrical form of solar energy into another form by directly utilizing its electrical energy in the management and control of power supplies obtained from renewable (solar) and conventional (mains) energy sources. A current control scheme is presented in which current delivered by solar supply is used to control the current in mains supply in such a way that both currents are inversely proportional to each other. Any increment in solar current opposes mains current in the same proportion and vice versa. A balanced common physical output is resulted from the electrical load supplied by each source separately. A natural variation in solar radiation is utilized to fluctuate the solar current which is further used to change the mains current. Energy saving is maximized in this supply management by the optimal utilization of solar energy.
Soft Computing Techniques Based Automatic Licence Plate Recognition Systems for Indian Vehicles
Authors:   Electronics and Communication Engineering Department, Chandigarh University, Mohali, India., Sharma* Nitin , Dahiya Pawan Kumar ,   Electronics and Communication Engineering Department, DCRUST, Murthal, India., Marwah Baldev Raj ,   Transportation Engineering Department, IIT, Kanpur, India
Published: October 2019

Automobile industries are growing exponentially in last decade in India. Growth in the vehicle numbers results in much more road accidents and traffic management problem. Not only this, long queues at toll plazas and parking lot is also a major issue of concern. Problem of traffic management and long queues can be solved by automatic licence plate recognition systems. In this paper, an automatic Licence Plate Recognition Systems based on soft computing techniques are presented. Indian vehicle with licence plates were used for testing the implemented systems. Firstly the licence plate image is extracted from the vehicle image and the characters are segmented from the extracted licence plate image and then features are extracted from the segmented characters which are used for the recognition. Soft computing techniques random forest, neural network, support vector machine, and convolutional neural network are used for the implementation pusrpose. The results obtained for the applied soft computing technique are compared to the last. The future scope is the hybrid technique solution to the problem.
Quantitative Easing In Accelerating the Economic Growth Rate – Indian Perspective
Authors:   Professor, Avanthi PG and Research Academy, Near RFC, Hyderabad-501512, Telanagana, India., Satish* Dr. Kattamuri
Published: October 2019

The present situation of Indian economy is worse. The GDP growth rate is 5% which is very low compared to last five years trend. After a record fell down of short-term interest rates of commercial banks (below one percent), the Reserve bank of India has turned to quantitative easing (QE) to hold up economic growth. It is used by the government to amplify the supply of money in the economy. It leads to an increase in lending by commercial banks and spending by customers subsequently. On the other hand, these policies will boomerang greatly on economy and leads to extraordinarily high levels of inflation. If commercial banks fail to afford excess reserves, it may direct to unhinge in the money market. Simply it jeopardizes the entire economic system. To come out from this, Reserve Bank of India injects a fixed quantity of money into the economy by massive and unprecedented purchasing of financial assets from commercial banks and private entities. This leads to an increase in banks reserves. Quantitative easing is not a new word to the economic world; it is most popular from the times of great recession in US economy. There has been an explode of research on QE and its effects. Past studies tremendously agree that QE helps in ease financial conditions and there is no reason to doubt that it supports economic growth. It is not only very powerful in times of financial crisis, but also has a momentous effect in normal times. By and large, this research paper focuses on finding the reasons behind the slowdown of growth rate of Indian economy and provides the likely solutions to come out from the crisis.
A Metamaterial Inspired UWB Circular Antenna as Superstrate for Gain and Directivity Improvement’s
Authors:   LASTID Laboratory, Department of physics, Faculty of Sciences, Ibn Tofail University ,Kenitra, Morocco, Elhabchi* Mourad , Srifi Mohamed Nabil ,   Electronics and Telecommunication Systems Research Group, National School of Applied Sciences (ENSA), Ibn Tofail University, kenitra, Morocco., Touahni Raja ,   LASTID Laboratory, Department of physics, Faculty of Sciences, Ibn Tofail University ,Kenitra, Morocco .
Published: October 2019

A Near Zero refractive Index (NZIM) metamaterial inspired UWB circular antenna as a superstrate for gain and directivity improvement’s is presented and investigated in this work. The frequency range with S11 less than -10dB is from 4.5GHz to 12.5GHz. The permeability and permittivity of the (NZIM) has an extraordinary property that could be optimized to synchronously approach zero and have an effective wave impedance matching with air and near-zero index simultaneously, this feature of metamaterial gives the NZIM the ability to collimates the incident bending waves and gather it’s towards the normal direction. Hence the antenna performances in term of the gain and directivity will be enhanced. The studied metamaterial design is optimized and analyzed using CST microwave. Obviously, the antenna gain and directivity are enhanced by 4.8 and 4.89 respectively. The simulation of this developed metamaterial antenna has been optimized and performed by using Computer Simulation Technology- Microwave Studio (CST) and Ansof High Frequency Structure Simulator (HFSS).
Experimental and Numerical Examinations of Temperature Distributions along SSF Pin Fins Cast through Semisolid Materials Processing
Authors:   Department of Production Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India., Mohapatra* Pabak , Kund N. K. ,   VSS University of Technology, Burla, Odisha, India.
Published: October 2019

Heat sinks or fins stand deployed for enhancing heat transfer. That’s why, planned experiments remain fortified for examining the impacts of SSF pin fin on thermal dispersal concerning constant thermal value 6 W/cm2. For that five chromel-alumel thermocouples are preferred, above and beyond, SSF pin fins materials of stainless steel and aluminum. As anticipated, for both the stated SSF pin fins, temperature declines for increasing length scale. Besides, both results are comparable with each other. However, temperature distributions over SSF aluminum pin fin declines relatively at faster rate comparable to that over SSF stainless steel pin fin. Obviously, it may be owing to higher thermal conductivity of SSF aluminum pin fin. Therefore, it carries superior, pleasant and momentous thermal performances.
Face Recognition Based Attendance System
Authors:   Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India., V* Mekala , Vinod Vibin Mammen ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India., M Manimegalai ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India.
Published: October 2019

The objective of the attendance system is to provide an alternative means to the traditional attendance system which consumes 10 to 15 minutes of time in 50 minutes of lecture hour. It also aims at eliminating human errors and proxy in recording the attendance of the student. This can be achieved by using face recognition for monitoring the attendance of the students in a class. The face recognition process is carried out by using the Cognitive Face API which follows the Principal Component Analysis (PCA) algorithm. Initially, the dataset of the students in a class are collected. The dataset is collected in a manner that for each student, a set of 25 images in various angles is collected. The features are extracted from the images that are collected by using the cognitive face API and the database is formed. The image of the class in columns is acquired immediately, when the input image is acquired by using a mechanical set up which captures image based on hour, the number of faces in the input image is detected. The detected faces are cropped and then stored in a folder. The features of the cropped faces are also extracted and it is compared and matched with the features in the database. When the feature matches, the attendance is marked for the particular student in the spreadsheet and then the attendance report of the class is being uploaded in the web-page. Thus, the attendance of the student can be recorded in an effective manner. This paper also helps in avoiding human error which is unavoidable.
The English Vocabulary using Ubiquitous Learning System
Authors:   research scholar at Vels University, Chennai., Malar* J.Hilda , R Dr.Venkataraman. ,   Professor and Head of the department of English in Vels University, Chennai., Monica.J Dr. Amutha ,   assistant professor in Sathyabama Institute of Science and Technology for over a decade.
Published: October 2019

Mobile education is the product of mobile communication technology, network technology, multimedia technology and contemporary education, and it is also the frontier of modern educational technology. Its promotion and development will lead to the transformation of educational technology and educational means. In this paper, the development model of educational software, such as English intelligent local learning system, mobile and mobile education support platform, PDA and palmtop computer, was discussed in this paper, so as to provide a universal learning platform for the study of English words. Using this platform, people can learn English at anytime and anywhere. The main goal of developing English word intelligence all over the world is to enable English learners to learn at any time. Based on the support platform of mobile education systems, many learning activities can be completed. Because of its running time and space limitations, people can study wherever they can, thus achieving the truly ubiquitous learning.
Curbing Social Media Expressions: Fueling Antagonism Among Customers
Authors:   Professor, Symbiosis Centre for Management Studies NOIDA, India, Singhal* Tarun Kumar
Published: October 2019

The customers are increasingly taking to social media to express their opinions, experiences, and expectations from product/service/brand/organizations. While organizations should see this as an opportunity for receiving unbiased opinions/experiences/expectations from the customers, they are also concerned about negative comments/expressions getting snowballed into major catastrophe for their products/services/brands. A significant number of organizations have started moderating content posted on pretext of expressing opinions/experiences/expectations of the customers. Essentially, this content moderation policy adopted by organizations entails removing negative expressions from their social media platforms before they become viral and reach wider audience damaging reputation. On the other hand, they promote positive expressions while acknowledging and thanking the customers for appreciating products/service/brand/organization. A customer who is essentially frustrated with experience of product/service/brand/organizations gets even more agitated when his/her expressions are removed on the pretext of content moderation policy adopted by the organizations. This aggrieved customer then starts searching for more social media platforms, which are unregulated or not controlled by the organizations and starts posting even more negative expressions tagging connections while requesting them to tag their connections as well. The customers understandingly demand to be heard, paid attention to and attended to. Absence of the acceptable grievance redressal mechanisms will further fuel antagonism among customers forcing them to brand negatively. At times, these activities have snowballed into major momentums or movements hitting the organizations very hard. Rather than focusing inward and looking at the problem from the perspective of solutions framework, organizations are doing more damage than good while removing negative expressions from the social media platforms. This research paper attempts to understand the possible repercussions of removing negative expressions from social media on the pretext of content moderation policy.
Factors Affecting Satisfaction and Loyalty in Public Transport using Partial Least Squares Structural Equation Modeling (PLS-SEM)
Authors:   Faculty of Economics and Business, Universiti Malaysia Sarawak, Malaysia., Ha* Shiaw-Tong , Ibrahim Wan Hashim Wan ,   Faculty of Engineering, Universiti Malaysia Sarawak, Malaysia., Lo May-Chiun ,   Faculty of Economics and Business, Universiti Malaysia Sarawak, Malaysia., Mah Yau-Seng ,   Faculty of Engineering, Universiti Malaysia Sarawak, Malaysia.
Published: October 2019

With an increasing number of privately own vehicles in Malaysia, the popularity of public transports is increasingly challenged by ride-hailing services such as Grab, MyCar, JomRides and MULA. To develop effective strategies aimed at retaining users, it is necessary to understand the factors that affect users’ satisfaction and loyalty in public transport. In this study, we propose that satisfaction and loyalty in public transport are associated with five key factors: accessibility, reliability, perceived value, comfort, and safety and security. Data collected from a survey of 179 public transport users in Kuching city was used to test the research model. Partial least squares structural equation modeling (PLS-SEM) was used to analyse the data. The main findings were that safety and security, and reliability significantly affected the users’ satisfaction and loyalty in public transport, while no statistically significant relationship was found among accessibility, satisfaction and loyalty. These findings not only contribute to the theory development of transportation research but also help practitioners to develop novel strategies aimed at increasing public transport usage.
India Wind Energy Auctions – The Way Forward
Authors:   CEO, Sprng Energy, Pune, India., Sood* Gaurav , Rao Dr. Prakash ,   Deputy Director, Symbiosis Institute of International Business, Pune, India.
Published: October 2019

As part of its commitments in Conference of Parties (COP21), India under Intended Nationally Determined Contributions (INDCs) (40% from renewables by 2030) plans to establish a total capacity of 175GW renewables by 2022, of which at least 100 Gigawatt (GW) would be solar, 60 GW wind, 5 GW small hydro and 10 GW from biomass [1]. Wind energy installation and generation had taken an early start in India and we already had an installed capacity of about 30 GW by 2016. This paper, discusses the impact of the important decision taken by Government of India in 2016 with regards to fading away of Feed in Tariff (FiT) regime and bringing in competitive bidding in wind energy in the country and tries to assess whether it was the right decision or not and what further steps should be done to ensure that the underlying objective of this transition is fully met. A total capacity of 12.5GW + has been allocated in various central and state government auctions and a detailed analysis in respect of the implementation status and applicable commissioning timelines for the same has been brought out. Further, an analysis has been done to highlight the challenges faced by Wind Power Developers (WPD’s) in the timely implementation of the allocated projects. This study brings out the recommendations in regards to changes to be made in the policy, guidelines and tenders to have a sustainable wind energy industry which is a win-win for the government through capacity additions at required pace & competitive tariffs and an economically beneficial ecosystem for both WPD’s and Wind Original Equipment Manufacturers (OEMs). Since the impact of wind energy auctions is still being analyzed, this may be one of the first papers and result in setting up of precedent for future papers & numerous case studies revolving around a specific wind power project.
ICT in Panchayati Raj Institutions
Authors:   Ph.D, Department of Political Science, Amity Institute of Social Sciences, Amity University, Noida (U.P), India, Meenakshi  , Saxena Dr. Shalini ,   Associate Professor, Amity Institute of Social Sciences, Amity University, Noida (U.P), India.
Published: October 2019

In India, the notion of local self-government is just as old as the civilisation. In today’s time, PRIs, i.e. Panchayati Raj Institutions are local governmental bodies of grass-root governance in rural India and forms the third layer of the federalism in India. These institutions of grass-root government are playing an essential role in improving the living standard of rural masses in India. In the current tech savvy scenario, the concept of e- governance and usage of Information and Communications technology (ICT) in offering services to the community have gained momentum. In order to move from governance to good governance with the help of ICT, the Government of India has initiated many projects such as National e-Governance Plan, e- Kranti, Bharat Net etc. This paper depicts the use of ICT by Panchayati Raj Institutions in providing effective public service delivery to the rural masses. Further, this paper also throws some light on various programs and applications which are designed by national and state governments to strengthening the position of PRI’s in development of rural areas
Economic-Mathematical Model for Assessing the Sensitivity of International Innovation and Investment Projects
Authors:   Management Department, Borys Grinchenko Kyiv University, Kyiv, Ukraine, Shtepa* Olena , Nikolenko Tamara ,   Department of Economics and International Economic Relations, Mariupol State University, Mariupol, Ukraine, Matsuka Viktoriia ,   Department of Management, Mariupol State University, Mariupol, Ukraine, Suprunenko Svetlana ,   Management Department, University of State Fiscal Service of Ukraine, Irpin, Ukraine, Galenko Oksana ,   Department of International accounting and auditing, Vadym Hetman Kyiv National Economic University, Kyiv, Ukraine, Kropelnytska Svitlana ,   Finance Department, Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine
Published: October 2019

International innovation and investment activity occupy a special place in the system of modern international business. The authors propose an economic and mathematical model for assessing the sensitivity of international innovation and investment projects by the criterion of net present value. It is advised to use the obtained sensitivity indicator as an additional one in assessing the economic efficiency of international innovation and investment projects of an enterprise. The proposed model makes it possible to determine the effect of several internal parameters simultaneously on the net present value of the project.
Automation of Switching in COADM using Machine Learning Algorithm
Authors:   PG Student, Digital Communications, RV College of Engineering, Bengaluru, Karnataka, India., Khanure* Divya , Reddy Dr. B. Roja ,   Associate Professor, Digital Communications, RV College of Engineering, Bengaluru, Karnataka, India.
Published: October 2019

In this paper a Machine Learning (ML) algorithm has been proposed based on application in field of Optical Network, where in it makes use of large data set to learn, train the switching nodes and predicts the traffic in the network. Configurable Optical Add-Drop Multiplexer (COADM) are used as the switching nodes. Once prediction is done, the traffic at the node is directed to the next node automatically. This improves the performance in terms of efficiency and reduces the delay in the network due to automation.
An efficient method for Secure ECG Feature Based Cryptographic Key Generation
Authors:   Assistant Professor, ECE, Saveetha School of Engineering, SIMATS, Chennai, India, Premkumar* S. , Mohana J. ,   Associate Professor, ECE, Saveetha School of Engineering, SIMATS, Chennai, India.
Published: October 2019

A novel method to generate ECG feature oriented cryptographic keys is proposed. Due to the advantage of the uniqueness and randomness properties of ECG’s main feature, this feature is achieved. As the production of key depends on four reference- free ECG main features, Low-latency property is obtained. These features are obtained in short time. This process is referred as (SEF)-based cryptographic key production. The SEF has the following features like: 1) identifying the appearance time of ECG’s fiducial values by means of Daubechies wavelet transform to calculate ECG’s main features conversely; 2) A dynamic method is used to denote the best quantity of bits that can be obtained from the main ECG feature, which consists of PR, RR, PP, QT, and ST time periods; 3) Generating cryptographic keys by the ECG features extracted in the method mentioned above and 4) Making the SEF method as strong with cryptographically secure pseudo-random number generators. Fibonacci linear feedback shift register and recent encryption traditional algorithms are executed as the pseudo-random number generator to improve the safety stage of the produced cryptographic keys. This method is executed to 239 subjects’ ECG signals consisting of normal sinus rhythm, arrhythmia, atrial brillation, and myocardial infraction. Normal ECG rhythms have slightly better randomness when compare with the abnormal.The output results proves that the SEF method is faster than the present existing key production methods. It produces higher security level when compared to existing methods.
Multilabelled Optimal Feature Classification Procedure for High Dimensional Bio Medical Data
Authors:   CST, S.R.K.R.E.C., Bhimavaram, India., Vineela* G. , Gupta V. Mnssvkr ,   CST, S.R.K.R.E.C., Bhimavaram, India.
Published: October 2019

The Machine Learning field has extended its thrust virtually in any domain of analysis and within the near past has become a trusted tool in the medical domain. The experiential domain of automatic learning is employed in tasks like medical decision support, medical imaging, protein-protein interaction, extraction of medical data, and for overall patient management care. ML is pictured as a tool by that computer-based systems are often integrated within the health care field so as to induce a far better, well-organized treatment. To extract optimal feature selection with high dimensional bio-medical knowledge, during this paper propose a Advance Machine Learning Approach with optimization approach i.e. Ant Colony Optimization (ACO). It extracts sentences from revealed medical papers that mention diseases and coverings, and identifies semantic relations that exit between diseases and coverings. Our analysis results for these tasks show that the projected methodology obtains reliable outcomes that might be integrated in associative application to be employed in the treatment domain.
Convolution Index based Unsupervised Label Procedure for Efficient Medical Image Exploration
Authors:   CST, S.R.K.R.E.C., Bhimavaram, India., Bhavani M. L. , Alluri Lakshmeelavanya ,   CST, S.R.K.R.E.C., Bhimavaram, India.
Published: October 2019

Medical imaging is a forceful idea of various medicinal ideas i.e. malignant growth and other related infections, present days; various kinds of therapeutic pictures are caught and saved in computerized position in medicinal research focuses. Confronting this kind of huge volume of picture information with various sorts of picture modalities, it is critical to execute effective content based image retrieval (CBIR) for restorative research focuses. Picture mark ordering is another actualized strategy for medicinal picture recovery. Traditionally various kinds of CBIR methodologies are proposed to give unsatisfied therapeutic picture recovery results. So that in this paper, propose a Convolution Index based Unsupervised Label (CIUL) way to deal with recover marks of pictures utilizing AI wording. We characterize AI as matrix convex optimization with cluster-based matrix representation which can be utilized to improve the productivity in picture recovery framework.
Development of 4-Elements Printed Dipole Array for RF Energy Harvesting Application
Authors:   School of Applied Science, Telkom University, 40257, Bandung, Indonesia., Dewi* Ni PutuKartika , Anwar Radial ,   School of Applied Science, Telkom University, 40257, Bandung, Indonesia., Wahyu Yuyu ,   Research Center for Electronics and Telecommunication Indonesia Institute of Sciences, Bandung, Indonesia., Rohmah YuyunSiti ,   School of Applied Science, Telkom University, 40257, Bandung, Indonesia., Riza Tengku Ahmad ,   School of Applied Science, Telkom University, 40257, Bandung, Indonesia.
Published: October 2019

posted dipole reception equipment has been implemented for some applications. This paper introduces the improvement of a 4-thing microstrip dipole radio twine, implied for energy reaping software program. The strolling recurrence of the proposed reception system is .1 GHz it truely is the LTE band. Estimation result demonstrates that the recieving cord acquires immoderate growth up to 6.18 dBi and a completely low go once more misfortune, all the manner all of the way all the way down to - 27.685 dB.The were given transmission potential is of round 600 MHz it truly is adequate to get a commonly immoderate reaped electricity.
An Interaction Between User and an Augmented Reality System using A Generalized Finite State Automata and A Universal Turing Machine
Authors:   Doctoral Student at Computer Science and Electronics Department, Universitas Gadjah Mada, Yogyakarta, Indonesia., Alwi* Aslan , Azhari  ,   Lecturer at Computer Science and Electronics Department, Universitas Gadjah Mada, Yogyakarta, Indonesia, Suprapto  ,   Lecturer at Engineering Departement, Universitas Muhammadiyah Ponorogo, Indonesia
Published: October 2019

Most interactions between users and augmented reality system (ARS) are that user assigns a marker to ARS, and the ARS responds the marker. In this context, a marker is mapped to an ARS's response, or in general, an array of markers is mapped to an array of ARS's responses. This interaction is a constant or linear complexity interaction since there is only a bijective mapping between a set of markers and a set of ARS's responses. In this research, we propose the expansion of user - ARS complexity into the polynomial. It is an interaction in which not only one marker for a single response (or an array of markers for an array of ARS's responses), but the interaction by which user provides a string of markers as a word of markers (i.e., a combination of multiple markers as a word) for a single ARS's response. The set of strings of markers to the ARS provided by users built a regular language. So that, the complexity of the user-ARS interaction became polynomial. This interaction was implemented by stating the user's language by means of a generalization of finite state automata (gFSA) and placing a universal Turing machine (UTM) between user and ARS, where the UTM as an interpreter translating or mapping the user language to ARS. To summarize our research, overall we apply the idea of a formal language into the interaction between the user and ARS, thereby changing the complexity of the interaction to polynomial even expandable to nondeterministic polynomials.
Beamwidth Enhancement of Array Microstrip Antenna for Radio Altimeter Application
Authors:   School of Applied Science, Telkom University, Bandung, Indonesia., Beoang* Antonius Kota , Anwar Radial ,   Research Center for Electronics and Telecommunication Indonesia Institute of Sciences, Bandung, Indonesia., Wahyu Yuyu ,   Research Center for Electronics and Telecommunication Indonesia Institute of Sciences, Bandung, Indonesia.
Published: October 2019

In this paper, an array microstrip antenna with 2x2 configuration has been simulated and measured for radio altimeter. The goal of this study is to achieve a proper beamwidth for this application with acceptable VSWR. Thus, the spacing between patches has been varied to obtain the beamwidth. The simulation shows the antenna has 50.2 x 60 degrees beamwidth with VSWR of 1.21, where after measurement the antenna has gained VSWR of 1.238, 250.04 MHz bandwidth and beamwidth of ±48 x ±65 degrees.
Beamwidth Optimization of Corner Reflector for RF Energy Harvesting from Solar and GPS L1 Satellite
Authors:   School of Applied Science, Telkom University, Bandung, Indonesia., Siahaan* Macho Revelino , Anwar Radial ,   School of Applied Science, Telkom University, Bandung, Indonesia., Wahyu Yuyu ,   Research Center for Electronics and Telecommunication Indonesia Institute of Sciences, Bandung, Indonesia.
Published: October 2019

Radio waves energy harvesting is interesting research in recent times. Development of antenna as the instrument to catching radio waves is fascinating research in energy harvesting system. The paper presents the design of corner reflector for radio wave energy harvesting with GPS L1 working frequency with gain 9.69, return loss -11.19 dB, beamwidth 47.3 degrees that can accommodate north-south solar movement in a year around and bandwidth 52.512 Mhz.
Link Failure Detection and Classification in Wireless Sensor Networks using Classification Method
Authors:   Research Scholar, Dept of ECE, St.Peter’s Institute of Higher Education & Research, Chennai, Tamil Nadu, India., Rajasekaran* B. , Arun Dr. C. ,   Professor, Dept of ECE, R.M.K College of Engineering & Technology, Chennai, Tamil Nadu, India.
Published: October 2019

This paper develops a method to detect the failures of wireless links between one sensor nodes to another sensor node in WSN environment. Every node in WSN has certain properties which may vary time to time based on its ability to transfer or receive the packets on it. This property or features are obtained from every node and they are classified using Neural Networks (NN) classifier with predetermined feature set which are belonging to both weak link and good link between nodes in wireless networks. The proposed system performance is analyzed by computing Packet Delivery Ratio (PDR), Link Failure Detection Rate (LFDR) and latency report.
Design and Fabrication of Three-Way Catalytic Converter by using Al2O3 and SiO2 Coating as aCatalyst and Access of Emission Characteristics in C.I. Engine
Authors:   S.G Mechanical Engineering Department, SRM Institute of Science and Technology, Chennai, India., Rayan* A.Sengole , Chakraborty Dr. ParthaSarathi ,   Department of Adult, Continuing Education & Extension, Jadavpur University, Kolkata, India., Mandal Dr.Dulal Krishna ,   Mechanical Engineering Department, Jadavpur University, Kolkata, India.
Published: October 2019

Catalytic converter is basically a device which is used to convert toxic harmful gases into less harmful gases from the exhaust of a automobile. Without this device, toxic gases which are emitted from the exhaust of an automobile can’t be converted to less toxic gases. An existing and catalytic converter which is present currently in the market uses catalyst of Platinum group such as Palladium, Platinum and Rhodium which are highly expensive catalyst. Therefore, to improve the durability and to reduce the cost of the catalytic converter, we are replacing the coating of catalyst by Aluminium Oxide and Silicon Dioxide which have high thermal stability, durability and are available are cheaper rates. This project focuses on the methodology involved in the fabrication of new catalytic converter and analysing the emission rates of toxic gases like Nitrogen Oxides, Carbon Monoxide and hydrocarbons. The Silicon Dioxide coated converter reduces the NOx and CO emission and the Aluminium Oxide coated converter reduces the CO and HC emission. The nitrogen oxide gases have been reduced 20.38% at maximum load and 55.2% at minimum load using Silicon dioxide coated convertor. The hydrocarbon emission has been reduced up to 88.8% at maximum load and 80% at minimum load. CO emissions were reduced by 75% and 80% at maximum and minimum loads in both the converters.
Process Parameters Optimization for Improving th Mechanical Properties of IS2062 MildsteelWeldments by GMAW
Authors:   Assistant Professor, Mechanical Engineering, Jeppiaar Institute of Technology, Chennai, Tamil Nadu, India., Gejendhiran* S. , Vignesh S. ,   Assistant Professor, Mechanical Engineering, Jeppiaar Institute of Technology, Chennai, Tamil Nadu, India., Kalaimani M. ,   Assistant Professor, Mechanical Engineering, Jeppiaar Institute of Technology, Chennai, Tamil Nadu, India., Anicia S.Arokia ,   Assistant Professor, Mechanical Engineering, Jeppiaar Institute of Technology, Chennai, Tamil Nadu, India.
Published: October 2019

Mildsteel is the largely material for industrial and commercial applications. Gas Metal Arc Welding (GMAW) and Gas Tungstan Arc Welding (GTAW) process is the largely used metal joining process for thin gauge milsteel and stainless. This research focus on the on the effect of process welding parameters for acquring greater mechanical properties of weld plates. the Taguchi parametric optimization methodology and regression analysis is identified and used for Acquring the greater welding effectiveness and efficiency. The shielding gas, weld volrage& current is choosen as a process parameters for this research to Acquring the greater welding effectiveness and efficiency. At end of process, the mechanical properties like ultimate tensile strength, toughness and hardness of the weldment. After completion of the experimental work, the S/N ratio and mean S/N ratio were evaluated and the optimum values of each parameters was evaluated through the Taguchi method. Subsequently the significant co-efficient for each input factor of the mechanical properties was evaluated of by using the analysis of variance and prediction on the mechanical properties is evaluated by using regression analysis. In this research, 15 mm IS2062 Mild Steel is welded by GMAW with the shielding gas mixtures of pure(100%) CO2 , Ar+20% CO2, and Ar+10% O2. The tensile strength optimum value was provided by the shielding gas mixture Ar+20% CO2 and also it gives the optimum value for toughness. The superior hardness value is obtained by Pure(100%) CO2 with respect to other shielding gas mixtures. The evaluated values tells that the welding current & shielding gas and have impressive effect on the IS2062 weldment mechanical properties.