bluuebunny/crossref_metadata_2025 huggingface dataset:
The Knowledge Management Maturity Model for Indonesian Hospital
Authors:   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia,, Kurniawan* Yohannes , Jingga* Fredy ,   Information Systems Department, School of School of Information Systems, Bina Nusantara University, Jakarta, Indonesia, Limantara Natalia ,   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia
Published: October 2019

The hospital is a primary health care institution in a country, so the hospital must be able to offer optimum performance services for every citizen. In this study, efforts will be made to improve the performance of hospital services through an implementation method for knowledge management system that is of course adapted to current hospital conditions, so the authors propose the Knowledge Management Maturity Model to determine which strategies are appropriate for hospital use based on their maturity level. The author collects data from 33 hospitals to verify this model, where the collected quantitative data has been verified (validity and reliability test). The results of this study are a framework for identifying knowledge management maturity for hospitals and also strategic recommendations for improving the performance of hospital services.
Identification of Plant Leaf Disease using Machine Learning Techniques
Authors:   CSE,, NMAM Institute of Technology, Nitte,(affiliated to VTU, Belagavi), India., Shedthi B* Shabari , siddappa M ,   CSE, SSIT, Tumkur, India., Shetty Surendra ,   MCA,, NMAM Institute of Technology, Nitte, (affiliated to VTU, Belagavi), India.
Published: October 2019

Plant disease identification and classification is major area of research as majority of people in India depend on agriculture for their main source of income and for food. Identification of the diseases in any crops is challenging since manual identification techniques being used in this are based on the experts advises which may not be efficient. Based on leaf features decisions about variety of diseases are taken. In this paper an automated framework is introduced which can be used to detect and classify the diseases in the leaf accurately. Leaf images are acquired by using digital camera. Pre-processing techniques, segmentation and feature extraction are performed on the acquired images. The features are passed on to the classifiers to classify the diseases. This work has been proposed to classify and distinguish the leaf sample based on its features. The proposed work is carried out with Artificial Neural Network (ANN), Support Vector Machine (SVM) and Naive Bayes classifiers to analyze the result. For given dataset ANN performed better than the other two classifiers.
Detection of Fire Regions from a Video Image Frames in YCbCr Color Model
Authors:   C-DAC Silchar, Silchar, India., Singh* Yumnam Kirani , Deb Debasish ,   C-DAC Silchar, Silchar, India.
Published: October 2019

Proposed here is a fire region detection method from a recorded video captured during the occurrence of fire. This method is based only on the chrominance components of the YCbCr color model. To distinguish the fire-region in an image frame of fire video containing the fire region, the difference between Cr and Cb is computed. The difference is enhanced by computing the square of it and then normalize range of difference squared to 0 to 255. It is then binarized at using automatic thresholding method to segment the fire region from the non-fire region. The fire region in the binary is located using the connected component analysis and the region is mapped to the original image frames of the fire video. We have tested the method in the actual fire video and it is found that the method can appropriately locate the fire regions in every image frame of the video. The method is simple and fast and hence can be used to forest fire monitoring using drones.
Is “Individual Focused” Leadership More Effective And Satisfying Than “Group Focused” Leadership! An Empirical Research.
Authors:   Research scholar, GITAM, Hyderabad Business School. Hyderabad., Tulasi* Subba Rao , Babu Suddapalli Suman ,   Assistant Professor & Research Guide, GITAM Hyderabad Business School, GITAM (Deemed to be University) Hyderabad.
Published: October 2019

Purpose- The purpose of this paper is to explore the relationship between individual focused and group focused Transformational Leadership and outcomes measured in terms of extra effort, effectiveness and satisfaction through an empirical survey in three Indian industry segments. Transformational leadership is a leadership form which is fully evolved. Leadership is essentially motivating others but not coercing them. The focus of transformational leadership is to change the thought process of the followers to enable them to contribute their might for the organization instead of seeking rewards from the organization. Transformational leadership was explained in detail by James M Burns and was further elaborated by Bass and Avolio as consisting of five leadership constructs ie idealized influence related to the leader’s behaviors, idealized influence related to the leader’s attributes, inspirational motivation, intellectual stimulation, and individualized consideration. Process- Correlation between Transformational leadership and its impact in motivating people has been an interesting subject to evaluate. Bass and Avolio developed MLQ ( Multi factor leadership questionnaire ) to carry out such a study. This survey was carried out in a large Indian Paper and Paperboard manufacturing division, a tobacco division and an agri division of an enterprise of repute in which about 326 managers participated and the survey findings were subjected to statistical analysis. Findings-Transformational leadership is reputed to enhance employee satisfaction, motivation, technological innovation, and leader effectiveness ratings. While all of these have been proved by the survey quoted above, it was interesting to note the relationship between Individual focused leadership and Group focused leadership and the outcomes measured in terms of extra effort, effectiveness and satisfaction. Research limitations-In the empirical survey carried out, participants were males which is a limitation caused by non availability of lady managers. Originality/value-The current research compared the individual constructs of the Leadership style in terms of Individual focused leadership and Group focused leadership and each of the outcomes in detail and established their relationship.
The Mechanism of Classifying Intellectual Property Offenses as Economic Offenses
Authors:   Russian State Social University (RSSU), Moscow, Russian Federation., Turkin* Mikhail Mikhailovich , Savtsova Natalya Aleksandrovna ,   Russian State Social University (RSSU), Moscow, Russian Federation., Neznamova Alla Andreevna ,   Russian State Social University (RSSU), Moscow, Russian Federation., Shilovskaya Anna Leonidovna ,   Russian State Social University (RSSU), Moscow, Russian Federation.
Published: October 2019

The purpose of this article is to consider intellectual property as an object of economic crime. In the course of the study, an attempt will be made to identify certain mechanisms and patterns in economic violations, where the object of encroachment is intellectual property. As a result of studying the object of the offense as the main element of its composition in criminal, administrative and civil law, it has been concluded that these violations adversely affect the economic development of the state, as well as the global economy. The article reflects the presence of differences in the concepts of the object of the offense in accordance with the branch of law (civil, administrative and criminal law). Based on Article 147 of the Criminal Code of the Russian Federation, the authors make a conclusion on the expediency of attributing offenses, the object of which is intellectual property, to offenses committed in the economic sphere. In conclusion, the authors propose measures to toughen responsibility for economic offenses, the objects of which are intellectual property, since those lead to unfair competition. Particular attention is paid to embezzlement in relation to the result of intellectual work and the intellectual property right.
Advance Dynamic Network System of Internet of Things
Authors:   Department of CSE, SMK Fomra Institute of Technology, India., Joel* M. Robinson , Ebenezer* V. ,   Department of CSE, Karunya Institute of Technology and Sciences, Coimbatore India., Karthik N. ,   Department of CSE,, Karunya Institute of Technology and Sciences, Coimbatore India., Rajkumar K. ,   Department of IT, PSNA College of Engineering and Technology, Dindigul, India.
Published: October 2019

Constructing automation is a crucial part of IOT based smart spaces for attaining user comfortableness, energy efficiency and cost reduction. Current technologies for constructing automation are based on syntactic mapping among various sub systems of smart spaces. However, building automation process needs to consider the current status of subsystem semantically for achieving user comfortableness. Ontology is developed for semantic interaction between various subsystems. An application scenario is illustrated.
Utilization of Energy Consumption Metric to Detect Black Hole Attacker in DSR Routing Protocol
Authors:   CSE department, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India., Saranya* R. , Rajesh R.S. ,   CSE department, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India.
Published: October 2019

A Mobile Adhoc Network (MANET) is a self-organized system comprised of multiple mobile wireless nodes. They do not require the existing network infrastructure. Autonomous telescopes can change freely and inadvertently in a network that can establish a dynamic network temporarily, and these networks can often change their appearance. Due to the openness in network topology and the absence of centralized administration in management, MANET is vulnerable to attacks from malicious nodes. Therefore, security is a major issue in MANET, which drastically reduces network performance. Several trust parameters such as packet delivery ratio, packet dropping ratio, etc are used for detecting the malicious node attack in MANET. Among these, this paper uses the energy as the trust parameter for detecting the malicious node. The energy reduction ratio differs from the normal node and attacker node in MANET. Hence, the main aim of this paper is to find the Normal Energy Reduction Ratio (NERR) and Attacker Energy Reduction Ratio (AERR). These two values are used for differentiating the normal node and attacker node in MANET. For routing, this paper uses the Dynamic Source Routing (DSR) Protocol.
Mechanical Properties of Fibre Reinforced Self Compacting Concrete using Rice Husk Ash
Authors:   Professor & HoD of Civil Engineering, Griet, Telangana, India, Reddy* Dr.V.Mallikarjuna , Manikanta S. ,   PG Student, Structural Engineering, Griet, Telangana, India
Published: October 2019

Self-compacting concrete (SCC) is relatively a recent development in the construction world. SCC can flow through dense reinforcement under its own weight without any segregation, bleeding, and vibration. The use of steel fibers is being encouraged to increase mechanical characteristics of SSC. However, adding fibers to fresh concrete results in loss of workability. Steel fibers operate as crack arrestors in concrete and extend the span of structures. In the present study, the mechanical properties of SCC with cement is partially replaced by rice husk ash (RHA) & P500 (ultra-fine fly ash). A total of 5 mixes with 0.3 W/C ratio were cast for 7, 28 and 56 days water curing. The replacement of fibres is considered as 0%, 0.5%, 1%, 1.5%, and 2% by weight of cement. Workability, Compressive, Split Tensile and Flexural strength is studied in this investigation. Superior strength was observed at optimum dosage of steel fibers at 1.5% by weight of cement.
Cost-benefit Analysis of RAP Incorporated Stone Matrix Asphalt Mixtures
Authors:   School of Mechanical and Building Sciences, Vellore Institute of Technology, Chennai, India., Kothandaraman* Saravanan , Devulapalli Lekhaz ,   School of Mechanical and Building Sciences, Vellore Institute of Technology, Chennai, India.
Published: October 2019

It is desirable to incorporate Reclaimed Asphalt Pavement into the asphalt mixtures, which provides several benefits i.e. economic, environmental and performance. It is necessary to study, the economic analysis of the RAP since that incur several contingencies to the asphalt mixtures. In this study, a simple approach is used to evaluate the production cost of the asphalt and RAP incorporated asphalt mixtures. Apart from that Waste Vegetable Oil (WVO) is used as a rejuvenator to enhance the properties of the mixture. In this study, asphalt mixture production cost is evaluated and cost of each material is taken from the Public Works Department Standard Scheduled of Rates (PWD – SSR) and the market survey techniques are followed. From the cost-benefit ratio, it is observed that the reduction in the Optimum Binder Content (OBC) provides great economic savings to the production cost. The incorporation of the RAP reduced the asphalt content and reduced the production cost of the asphalt mixtures. The addition of the WVO further reduced the OBC but increased the production cost compared to the non-rejuvenated mixture. The increase in the production cost is due to the extra cost invested on the WVO and other contingencies.
Identification of the Sources of Overall Waste Generation that Affects the Well Being of the Environment
Authors:   Department of Commerce and Management, PRIST University, Trichy, INDIA, Vidhyasekar* B. , Selvan K.G. ,   Department of Commerce and Management, PRIST University, Trichy, INDIA.
Published: October 2019

In the old urban regions, major reconstruction operations are taking place on a fast scale throughout the world, which gives rise to large quantities of Construction and Demolition Waste (CDW). There is a gradual decline in available landfill space, while demand for quarry products is increasing. Because of its non-degradable features, CDW is a significant problem in many nations. Proper CDW management and recycling helps alleviate these issues. The contribution rates from various waste sources improve knowledge-based decision-making in the development of appropriate construction waste reduction strategy. This paper is focused on investigating the rate of recurrence and the seriousness of the contribution of waste sources that affect the well-being of the environment.
An Empirical Analysis of Software Reliability using Reliability Analysis Algorithm
Authors:   Computer Science, Bharathiar University, Coimbatore, India., G* Gayathry , R Thirumalaiselvi ,   Computer Science, Govt. Arts College (Men), Nandanam, Chennai, India.
Published: October 2019

Reliability is the fundamental aspect of a software system that cannot be ignored and hard to measure. Two major elements namely hardware and software need to be measured to evaluate the reliability of software system. The work that is already existing give focus on measuring the reliability of software alone. With little consideration in measuring the reliability of hardware. The present work focuses on computation of hardware reliability and software reliability together. The aim is to propose an algorithm to develop a model for estimation of reliability. The algorithm is named as reliability analysis algorithm. Using comparison criteria developed model is compared with other two traditional models. The result of this study shows that the developed model can be used to measure and predict the reliability with high degree of accuracy.
Credit Value and Attribute Based Access Control Mechanism for Cloud Data Centres
Authors:   Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India., Dubey* Ajay Kumar , Mishra Vimal ,   Institute of Engineering and Rural Technology, Allahabad, India.
Published: October 2019

Now-a-days the cloud is very useful for providing many IT services. These services are delivered over the internet and accessed globally with the help of internet. The cloud service provider ensures flexibility in provisioning and scaling of resources. The cloud services are completely managed by cloud service provider (CSP), which ensures the end to end availability, reliability and security of the cloud resources. The exponential growth of cloud services has provided many opportunities but has also perplexed severe security concerns. The popularity of cloud service based applications is rapidly increasing due to which many security and legal issues are arising. In this paper we describe the existing access control method and framework for securing cloud services. The concept of modified reputation and attribute based access control system has been discussed. In this approach the concept of crowd reviewing has been used to compute the credit value of users. The simulation experiment has been shown to protect the consistent users and to restrict the access of inconsistent users in cloud environment. It is an access control approach to mitigate the challenges in security concerns. This access control mechanism is helpful for cloud application services, which automatically restrict the malicious users from the access of resources. It is also helpful in authorization of users to access the cloud resources.
Pricing of Premium for Automobile Insurance using Bayesian Method
Authors:   Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Jenderal Soedirman, Indonesia., Prabowo* Agung , Mamat Mustafa ,   Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia., Sukono  ,   Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia., Taufiq Afif Amrullah ,   Engineering Division, General Insurance of Bumiputera Muda 1967, Indonesia.
Published: October 2019

The aggregate claim model can be used to determine the amount of premium charged to the insured by the insurance company. This model consists of two mutually independent random variables, namely the number of claims that occur per period and the amount of claim for each event. In this study, the number of claims is Poisson distributed, and the amount of claim is distributed by generalized extreme value (GEV). The Bayes method is used to estimate the parameters of each distribution. Parameter estimation results are used to calculate the expectations and variances of the aggregate claim model which are then used to calculate insurance premiums. Based on the estimation results, the amount of premium charged to the insured ranges from IDR 3,831,480 to IDR 6,443,860.
Enhancing the Quality Education using Predictive and Descriptive Data Mining Model
Authors:   Department of Computer Science, Vels Institute of Science, Technology and Advanced Studies, Chennai, India., Jayakumar Mr. S. , Parameswari* Dr. R. ,   Department of Computer Science , Vels Institute of Science, Technology and Advanced Studies, Chennai, India., Akila Dr.A. ,   Department of Computer Science, Vels Institute of Science, Technology & Advanced Studies, Chennai, India.
Published: October 2019

Data mining is the trending field used to get relevant knowledge from the database given. This technique consists of subfield called educational data mining is the emerging area used to extract the hidden patterns from the huge data with the help of tools techniques developed by the researchers of the educational data mining. The purpose of extracting patterns from the educational database is to improve the quality of education can be provided to the students for their better feature. The patterns are extracted by using the existing data mining techniques to enhance student performance. Educational data mining techniques such as classification, regression, clustering are available in the field. Classification is defined as the technique used to categorize the data based on the given label and constraints. In this paper, the algorithms like naves Bayes, Random Forest and J48 algorithms used to classify the data instances under the given labels using the constraints given., the classification algorithms like naves Bayes shows best performance accuracy with the given student dataset. Clustering and apriori rule have a strong relationship in student performance. In this paper, predictive data mining used to predict the student's performance to enhance the study level of the students in the organization.
The Eye Retinal Blood Vessel Bonding by Image Processing
Authors:   E&TC ,Professor, SITCOE, Yadrav, India,, Babu* Dr.J.Narendra , Patil Dr.RajeshM. ,   Electrical Dept., Professor, SITCOE, Yadrav, India, Reddy.A Basi ,   CSE, Assistant Professor, Sri Venkateswara College Of Engineering, Tirupati, Basireddy., Lakshmaiah L. ,   IT Assistant Professor, Department, Sri Venkateswara College of Engineering, Tirupati,India
Published: October 2019

The method Histogram equalization is common in image enhancement. Using histogram to contrast the entire image and reduce noise .but we are using histogram equalization method remove the noise on entire image. But in some applications this is not suitable. Using contrast method we perform on small regions where our needed. The clip and block side method we will enhance the image. The contrast should be enhanced in this paper. Here we are used algorithm based on algorithm we should find the quality of the vessel bonding.
Hydro Power Energy Generation of Run-off River Type by using Plural Flow Duration Curve
Authors:   Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia., Bisri* Mohammad , Limantara* Lily Montarcih ,   Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia., Rispiningtati  ,   Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia., Ramadhani Agung Rozqi ,   Undergraduate Student on the Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia.
Published: October 2019

This research intends to present a new method about the discharge modeling for mini-hydro power so it can be obtained the maximum energy. The methodology consists of modelling by the plural Flow Duration Curve (FDC). By using this method, it is hoped that the hidden discharge potency on a river can be appear and optimally used. The detail methodology is as follow: to analyze the available dependable discharge in the Konang watershed, to know the condition of Konang watershed based on the ratio pf Qmax/Qmin, to determine the suitable turbine type for the mini-hydro power of run off river in the Konang river, and to analyze the power and energy based on the single and plural Flow Duration Curve (FDC). The result can be applied on the design of run off river mini-hydro power in the Konang river, Trenggalek regency-Indonesia, By the treatment, it is hoped to be able to produce the significant decreasing of mini-hydro power energy.
Recognizing Ancient Characters from Tamil Palm Leaf Manuscripts using Convolution Based Deep Learning
Authors:   Research Scholar, Sathyabama Institute of Science and Technology , Chennai, India., Subramani* Kavitha , Murugavalli S. ,   Professor & Head , Computer Science and Engineering, Panimalar Engineering College, Chennai, India
Published: October 2019

Palm leaf manuscripts has been one of the ancient writing methods but the palm leaf manuscripts content requires to be inscribed in a new set of leaves. This study has provided a solution to save the contents in palm leaf manuscripts by recognizing the handwritten Tamil characters in manuscripts and storing them digitally. Character recognition is one of the most essential fields of pattern recognition and image processing. Generally Optical character recognition is the method of e-translation of typewritten text or handwritten images into machine editable text. The handwritten Tamil character recognition has been one of the challenging and active areas of research in the field of pattern recognition and image processing. In this study a trial was made to identify Tamil handwritten characters without extraction of feature using convolutional neural networks. This study uses convolutional neural networks for recognizing and classifying the Tamil palm leaf manuscripts of characters from separated character images. The convolutional neural network is a deep learning approach for which it does not need to retrieve features and also a rapid approach for character recognition. In the proposed system every character is expanded to needed pixels. The expanded characters have predetermined pixels and these pixels are considered as characteristics for neural network training. The trained network is employed for recognition and classification. Convolutional Network Model development contains convolution layer, Relu layer, pooling layer, fully connected layer. The ancient Tamil character dataset of 60 varying class has been created. The outputs reveal that the proposed approach generates better rates of recognition than that of schemes based on feature extraction for handwritten character recognition. The accuracy of the proposed approach has been identified as 97% which shows that the proposed approach is effective in terms of recognition of ancient characters.
Conducted Emi Model for Flyback PFC Converter
Authors:   Centre for Excellence in EMC and Power Quality Department of E & C, UVCE, Bangalore University, Bengaluru, India., M Ashritha , Sudheer M L ,   Centre for Excellence in EMC and Power Quality Department of E & C, UVCE, Bangalore University, Bengaluru, India.
Published: October 2019

Power Factor Correction (PFC) units are used at the front end of Switched Mode Power Supply (SMPS) to improve the input power factor. However, they generate Electromagnetic Interference (EMI) which needs to be mitigated to compliant levels prescribed by International Standards. The Electromagnetic Compatibility (EMC) standards have set regulations which require expensive instruments and environment for their measurement. Hence there is a need for predicting Conducted EMI by simulation before the product is tested for full compliance to reduce the complexity of the circuit design and cost. To estimate the Conducted EMI, it is important to identify the main noise sources and their conduction paths. This can be achieved by simulating the circuit using the exact models of the transformer, capacitor, PCB trace, and the switching semiconductors. In this paper these components of PFC flyback converter are modelled using SPICE models, datasheet defined component parameters and experimental measurements. The theoretical analysis and simulation results show that the method discussed can predict and analyse the Conducted EMI. This is tested experimentally on a Flyback PFC converter working in Critical Conduction Mode. A line filter is designed and used to bring the noise to compliant levels. Simulation and Experimental results after using the line filter are also presented.
Dualities between Some Useful Integral Transforms and Sawi Transform
Authors:   Assistant Professor, Department of Mathematics, National P.G. College, Barhalganj, Gorakhpur-273402, U.P., India,, Aggarwal* Sudhanshu , Gupta Anjana Rani ,   Professor, Department of Mathematics, Noida Institute of Engineering & Technology, Greater Noida-201306, U.P., India
Published: October 2019

Integral transforms have a number of applications in the different fields of engineering and science to solve the problems of Newton’s law of cooling, signal processing, electrical networks, bending of beams, springs, mixing problems, carbon dating problems exponential growth and decay problems. In this paper, we will discuss the dualities of some useful integral transforms namely Laplace transform, Kamal transform, Elzaki transform, Aboodh transform, Sumudu transform, Mahgoub (Laplace-Carson) transform and Mohand transform with Sawi transform. To visualize the importance of dualities between mention integral transforms with Sawi transform, we give tabular presentation of the integral transforms (Laplace transform, Kamal transform, Elzaki transform, Aboodh transform, Sumudu transform, Mahgoub transform and Mohand transform) of mostly used basic functions by using mention dualities relations. Results show that the mention integral transforms are strongly related to each others.
Energy Recovery from Anaerobic Digestion of Banana Peels
Authors:   Micro Pollutant Research Centre (MPRC), Faculty of Civil and Environmental Engineering, Univesiti Tun Hussein Onn Malaysia, 86400 Parit Raja,Johor, Malaysia., Shaharoshaha* A’isyah Mardhiyyah , Sulaiman Siti Mariam ,   Micro Pollutant Research Centre (MPRC), Faculty of Civil and Environmental Engineering, Univesiti Tun Hussein Onn Malaysia, 86400 Parit Raja,Johor, Malaysia., Seswoya* Roslinda ,   Micro Pollutant Research Centre (MPRC), Faculty of Civil and Environmental Engineering, Univesiti Tun Hussein Onn Malaysia, 86400 Parit Raja,Johor, Malaysia
Published: October 2019

Bananas are tropical fruits mostly eaten in Malaysia. The banana peels are high in organic, and putrescible caused the odour and leachate problem where it has been a dump. In practice, banana peels considered as a waste product that has been combined with municipal solid waste and dumped into the landfills. However, banana peels are bountiful in organic matter and high with moisture content. Thus, it could be a convincing substrate for biogas production through anaerobic digestion so that the major concerns of environmental protection is achieved aside from producing energy in a sustainable way. Therefore, this study was initiated to estimate the ultimate methane yield from the unripe banana peel (UBP) and ripe banana peel (RBP). Besides that, the assessment on the kinetics of the methane production from UBP and RBP is conducted using Modified Gompertz and first-order kinetic modelling. In this study, the anaerobic digestibility of banana peels measured in a batch reactor for 25 days each fed by UBP and RBP. The batch reactors operated at an inoculum to substrate ratio (I/S) of 1.0 and at a mesophilic temperature (37°C). The ultimate methane yields from UBP and RBP digestion were 847.57mLCH4/gVS and 1405.31mLCH4/gVS, respectively. The higher bioavailability (in term of COD, and solid) in RBP resulted in the higher methane production rate. Two first-order and modified Gompertz kinetic models were compared for the prediction of organic degradation, and the results indicated that the first-order kinetic model of the RBP fitted the experiment best. It concluded that ripe banana peels are the most preferable feedstock for the anaerobic digestion.
The Role of Electronic Voting Machine (EVM) In Strengthening Democracy in India
Authors:   Associate Professor and Head Department of Political Science, T.H.B. College, Jamugurihat, Sonitpur, Assam,, Baruah* Jayanta
Published: October 2019

Democracy and Elections are inseparable and related to each other. Elections are the central institution of democratic governments through which people choose their representatives to represent them in the decision and policy formation process of the government. The democratic government derives its all powers from the consent of the governed. Through holding free and fair elections people’s consent has been translated into governmental authority in a democratic country. Democratic elections are periodic. As India is a democratic country, hence elections are held regularly to the parliament, state legislatures and to the institutions of urban and rural local bodies after every five years. Electronic Voting Machine (EVM) is one of the remarkable contributions of science and technology in our times which has been helping the countries, mostly democratic countries, in conducting elections in free and fair means. EVM has been used in India since long back. Use of EVM has made the electoral process in India simple, easier and free from electoral frauds and riggings. But questions have raised many a times on the tampering and acceptability of EVM. In our paper we will try to examine the usefulness of EVM in conducting free and fair elections in a big democracy like India and also the merits of this machine which has been helping strengthening Indian democracy in various ways.
Recognition of Roman Characters using Geometric and Regional Features
Authors:   Mathematics Department, Jaypee Institute of Information Technology, Noida, India., Verma* Deval , Agarwal Himanshu ,   Mathematics Department, Jaypee Institute of Information Technology, Noida, India., Aggarwal A.K. ,   Mathematics Department, Jaypee Institute of Information Technology, Noida, India.
Published: October 2019

This paper presents the Roman Characters Recognition in clean and noisy environment using geometrical and regional features. The geometrical and regional features are extracted from the standard dataset and are combined to achieve better recognition. The combination of these features is classified using neural network (NN) and random forest (RF) classifiers. In our experiments, we have achieved the recognition accuracy of 100% for some characters. However, the average recognition accuracy of 85.7% has been recorded by using NN and 88% has been recorded by using RF classifier, respectively.
Temporal and Spatial Fluctuation of Noise Levels in the Closed Vicinity of Urban Roadways
Authors:   Department of Civil Engineering, Jamia Millia Islamia, New Delhi, India, Alam Pervez , Ahmad Kafeel ,   Department of Civil Engineering, Jamia Millia Islamia, New Delhi, India, Akhtar Nasim ,   Central Road Research Institute, Mathura Road, New Delhi, India.
Published: October 2019

Noise pollution is a very critical issue for a better quality of life in urban settings. This study has been conducted to investigate the temporal and spatial fluctuation of noise levels in the vicinity of urban roadways. A total of twelve sites have been covered, eight in residential area and four in commercial area for this study. The monitoring of noise levels in residential and commercial areas in the capital city of India, Delhi, has been carried out from 18th of July to 12th of August 2017 using Sound Level Meter (Larson & Davis 831). The monitoring has been done only on working days and in good weather condition as per standard procedure, special care has been taken to reduce the effects of wind. Temporal distribution shows that the noise level in morning at the residential area has been more than the prescribed standard and reached up to 84.8 dB (A) in comparison to the commercial areas which has been remains up to 79.46 dB (A). Spatial distribution revealed that the noise level at Ashram Chowk remains in the range of 75 to 80 dB (A) which is maximum in comparison to all other selected location of residential area followed by Moolchand which remains in the range of 70 to 75 dB (A). In commercial area the noise levels remain in the range of 65 to 70 dB (A) at Connaught Place outer Circle (CPOC), which is remain maximum among all selected location. The noise level exceeds the recommendation of CPCB at all eight locations of residential area and two locations of commercial area out of four. It can be concluded that the residential area near urban roadways remains more prone to noise pollution in comparison to commercial area. Planning and public knowledge about the long term noise risk may help in to relieve the noise risk in urban areas.
Performance Evaluation of High-Strength High-Volume Fly Ash Concrete
Authors:   Student, M.Tech. (Structural Engineering), Department of Civil Engineering, Hyderabad, India., Samhitha* Veda , Reddy V Srinivasa ,   Professor of Civil Engineering, GRIETHyderabad, India., Rao M V Seshagiri ,   Professor of Civil Engineering, CVR College of Engineering Hyderabad, India., Shrihari S ,   Professor of Civil Engineering, VJIT Hyderabad, India
Published: October 2019

In the present study, high strength high volume fly ash concrete of M70 grade is developed and its durability properties such as water absorption capacity, porosity, and sorptivityare ascertained. It was found that high volume fly ash does not yield high strength so silica fume is added for early strength gain and for later strength gain lime required for complete pozzolonic action is added to achieve high performance concrete. In this study after testing for various combinations of quaternary blended concrete it was reported that 30% cement +70% fly ash as total powder achieves high strength of nearly 70 MPa, when silica fume of 10% by weight of powder and 30% of lime by weight of powder are added to the total powder content. The high strength high volume concrete developed with this optimum quantities of quaternary blends will be evaluated for the performance.It was found that water absorbtion in high strength high volume fly ash concrete reduced by nearly 85% and porosity is reduced by 34%.
A Time-domain Double Diffraction for Non-perfectly Conducting Wedges
Authors:   Department of Electronics and Communication Engineering, Delhi Technological University, Delhi-110042, India.., Kumar* Vinod , Raghava N. S. ,   Department of Electronics and Communication Engineering, Delhi Technological University, Delhi-110042, India.., Soni Sanjay ,   Department of Electronics and Communication Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur-273010 (U.P.), India.
Published: October 2019

A time-domain (TD) double diffraction solution is proposed with the source illumination for one or both sides of non-perfectly conducting wedges. The frequency domain redefined reflection angles as well as modified reflection coefficients are used in the different angular region of wedges for developing TD double diffraction. The accuracy of the proposed model is confirmed with IFFT- FD solution. Finally, the table of computational efficiency has been given for both the methods (TD and IFFT-FD) for hard polarization.
A Novel Design of Matched Filter for Digital Receivers
Authors:   Department of Electronics and Communications Engineering, Jawaharlal Nehru Technological University Anantapur, Anantapur, Andhra Pradesh, India., Reddy* D. Likhith , Rao Dr. S.V. Subba ,   Department of Electronics and Communications Engineering, Director, Research & Development, PBR Visvodaya Institute of Technology & Science, Kavali, Andhra Pradesh, India.
Published: October 2019

In this paper, a brief review regarding introduction to the digital signal processing techniques particularly Digital Pulse Compression and Linear Frequency Modulation involved in matched filtering and some designs being used is presented. Also, the matched filter being developed is discussed by highlighting its pros and cons. The introduction of matched filter in the communication receivers has simplified the design of the system. The matched filter has improved the signal to noise ratio of the receiver system and hence has become an important element in the communication system. This paper also presents the possible challenges; the matched filter design and simulation results in MATLAB have shown satisfactory outputs of the receiver.
Enhancing Peanut Productivity through Application Of Irradiated - Carrageenan
Authors:   Crop Science Department, College of Agricultural Systems and Technology, Pampanga State Agricultural University, Philippines, B. Gatan* Mary Grace , Gatan Menrado T. ,   Forestry and Agroforestry Department, College of Agricultural Systems and Technology, Pampanga State Agricultural University, Philippines, Aurigue Fernando B. ,   Agriculture Research Section, Atomic Research Division Philippine Nuclear Research Institute – Department of Science and Technology (DOST-PNRI), Philippines
Published: October 2019

On-field verification trials were conducted to determine the effect of various rates of Olio-carrageenan (PGP) on Cercospora leaf spot (CLS) and rust and yield of peanut varieties specifically, BPI Pn9 and Farmer’s variety. The statistical design of the field trial was a Randomized Complete Block Design (RCBD) with four replicates per treatment per experiment. The CLS and rust infections were significantly reduced with the application of 150ppm PGP by 15.2% and 36.2%, respectively. The BPI Pn 9 peanut variety applied with PGP consistently and significantly had higher pod yield up to 2.14 t/ha and seed yield of 1.63 t/ha with a corresponding 37.6% and 34.5% increase, respectively. At least Php45,771 per hectare additional income was realized from the application of PGP with a maximum MBCR of 12.3%. For Farmer’s peanut variety, significant increase of 23.6% on pod yield and 36.5% on seed yield were obtained resulting to an additional income of Php 18,400/ha up to 37,800/ha with an MBCR of 21.81%.
Crime and Gender: Violence against Women in the Ukrainian Press in the First Half of the Twentieth Century
Authors:   Institute of Journalism, Chair of Journalism and New Media, Borys Grinchenko Kyiv University, Kyiv, Ukraine, Dosenko* Anzhelika , Khamedova Olga ,   Institute of Journalism, Chair of Journalism and New Media, Borys Grinchenko Kyiv University, Kyiv, Ukraine., Pohrebniak Inha ,   Institute of Journalism, Chair of Journalism and New Media, Borys Grinchenko Kyiv University, Kyiv, Ukraine., Solomatova Viktoria ,   Department of Distant education, Kyiv international university of culture and arts, Kyiv, Ukraine.
Published: October 2019

This scientific research deals with the actual problem, that is the study of the language of criminal chronicles in the Western Ukrainian media discourse in the 1920-1930s. Object of analysis is news reports on gender violence in popular Western Ukrainian newspapers of the interwar twenty years. The chosen methodology is feminist discourse-analysis which allows us to identify the media representations of gender identity and to find out what ideological discourse has had symbolic hegemony, which gender regime was supported by language. It turns out that the language of criminal news fixes symbolic mechanisms for establishing power regimes. The texts of criminal news show gender stereotypes and prejudices against women, which traditionally functioned and articulated in public discourse. Gender violence was explained (and justified) by personal, religious and social reasons. The problem of domestic violence attracted journalists from the 1920s and 1930s. Victim women who dared to challenge patriarchal customs were appraised extremely subjectively, biasedly, often – in a negative way. Publications about sexual crimes (rape, sexual harassment) were rare, since this topic was banned in the Western Ukrainian public discourse of the 1920s-1930s. In Western Ukrainian popular magazines, the language of criminal news construed a gendered society, deleting power for men and exposing a woman to objectification. Journalists used certain linguistic strategies to support the dominant gender regime: author's intentionality, peculiar journalistic formulation and focus of information, the specifics of structuring material and hidden meanings of the text.
Stochastic Pattern of Major Indices of Bombay Stock Exchange
Authors:   Assistant Professor, Sir Padampat Singhania University, Udaipur, India, Dadhich* Dr. Manish , Chouhan Dr. Vineet ,   Assistant Professor, Sir Padampat Singhania University, Udaipur, India, Adholiya Dr. Ashish ,   Assistant Professor, Pacific Business School, Pacific University, Udaipur, India.
Published: October 2019

It is interesting to get inside and draw a meaningful inference by studying the movement of various stock indices. Portfolio managers, analysts, and investors are very keen to know about the technical pattern of indices. They consider the stock market is one of the economic barometers or market indicators of an economy. Indian financial market has undergone radical and vital change during the past few years. The purpose of this study is to check stochastic movements in selected indices and to signify nexus and interdependency among one another by the virtue of econometric analysis. The study comprises of daily closing value from 1st April 2014-1st April 2018, including major indices i.e. S&P-BSE 100; S&P-BSE-200, S&P BSE-500, S&P-BSE:Large cap, S&P-BSE:Mid-cap, S&P-BSE:small-cap, and BSE-SENSEX. Moreover, typical econometrics tool Augmented Dickey-Fuller Test, Granger Causality Test, and Johansen Co-integration Test were implemented to conclude the result. The study is one of its kinds to analyze the static and pair wise relationship among seven BSE indices along with the direction of their expected future movement that would help practitioners, policy makers and investors in anticipating the future movement of the indices. The Dickey-Fuller and Johanson test administered to analyze unit root and co-integration among the series in long run, followed by Granger causality test to observe the route of the short term relationship among various indices. The tests reveal uni-directional and in some cases bi-directional causality in selected indices. Further, it has been observed that due to co-integration, prices of different indices can’t move far away from one another [1]. This stochastic study delves volatility pattern of some major indices of Bombay stock exchange with the help of econometric tools. It clearly delineates nexus of all the indices and provided an explanation to appreciate concrete conduct of one series into a mutual relationship. Hence, investors or analyst may predict the movements, interdependency and their relationship in a significant manner.
Module Development Models For Developing the Career Readiness-Personality (Cr-P) Module
Authors:   Azman Hashim International Business School, Universiti Teknologi Malaysia, Johor Bahru, Johor Malaysia., Nik Yusoff* Nik Rafidah binti , Mahfar Mastura binti ,   Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Johor Bahru, Johor Malaysia., bin Saud Muhammad Sukri ,   Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Johor Bahru, Johor Malaysia.
Published: October 2019

The purpose of this study is to compare Module Development Models to develop a Career Readiness-Personality (CR-P) Module. There are several Module Development Models that have been identified, namely Russell Module Development Model, Sharifah Alwiyah Alsagoff Module Development Model and Sidek Module Development Model. However, to develop the Career Readiness-Personality (CR-P) Module, the researcher had selected the Sidek Module Development Model based on some justifications stated in this article. The Career Readiness-Personality (CR-P) Module was developed based on the Social Cognitive Career Theory and the Big Five Personality Model. Once this module was fully developed, the content validity of the module was determined based on the evaluation done by eight experts. The content validity value for this module is 0.92. It can be said that by using the Sidek Module Development Model, the content validity for the Career Readiness-Personality (CR-P) Module is high and the module is recommended for the reliability test as well as an experimental study to test the effectiveness of the module.