bluuebunny/crossref_metadata_2025 huggingface dataset:
Electricity Production from Desalination by Algal Ponds using Chlorella Vulgaris
Authors:   Department of Arab Academy for Science, Technology, Chhattisgarh India., L.* El Ghazy B. , H. El Nadi M. ,   Department of Arab Academy for Science, Technology, Chhattisgarh India., H. Nasr N. A. ,   Department of Arab Academy for Science, Technology, Chhattisgarh India., D El Monayeri. O. ,   Department of Arab Academy for Science, Technology, Chhattisgarh India.
Published: November 2019

The demand for natural resources is rising tremendously as a result of the current urban expansion. Water and energy are the two main focuses of the environmental scientific society due to their anticipated scarcity. A desalination approach using algae ponds along with an electricity generation technique are provided in the present study. This is achieved through the use of Chlorella vulgaris, a fresh water algae residing in ponds, and large scale chamber-less bio- photo voltaic cell (BPV). Chlorella vulgaris was found to generate an electric current from the pond whilst causing concurrent desalination. This study proves the possibility of simultaneous power generation and salt removal using Chlorella vulgaris and opens doors for massive research potential in the fields of renewable energy and desalination.
Moving Object Tracking Algorithm for Complex Shape and Occlusion Handling
Authors:   Sinhgad College of Engineering, Pune, India., Vasekar Shridevi S. , Shah Sanjivani K. ,   Smt. Kashibai Navale College of Engineering, Pune, India.
Published: November 2019

An object tracking increases loads of enthusiasm for dynamic research in applications such as video surveillance, vehicle navigation, highways, crowded public places, borders, forest and traffic monitoring areas. The system we develop aims to measure and analyze the application of background subtraction method and block matching algorithm to trace object movements through video-based. The making of video surveillance systems “smart” requires fast, reliable and robust algorithms for moving object detection and tracking. This research applies background subtraction method to detect moving object, assisted with block matching algorithm which aims to get good results on objects that have been detected. Performance evaluation is carried out to determine the various parameters. In this paper author design and develop a novel algorithm for moving object tracking in video surveillance also compares and analyse existing algorithms for moving object tracking. Author main aim to design and develop an algorithm for moving object tracking to handle occlusion and complex object shapes.
A Microstrip Patch Antenna with Defected Ground Structure(DGS) for WiMAX and WLAN Applications
Authors:   Research Scholar, Department of Electronics and Communication, Jabalpur Engineering College, Jabalpur (M.P), India., Jain Pragya , Singh Sunil Kumar ,   Assistant Professor, Department of Electronics and Communication, Jabalpur Engineering College, Jabalpur (M.P), India.
Published: November 2019

A rectangular microstrip patch antenna with defected ground structure with E-shaped and square shaped slot on the patch is proposed here. The proposed antenna design consists of H-shaped defect on the ground plane. The complete antenna system is constructed on 45.4mm X 45.4mm X 1.6mm, FR-4 substrate with dielectric constant of 4.4 and substrate height of 1.6mm. The antenna mainly works in 4-6 GHz band. The various characteristics parameters of the antenna like return loss, voltage standing wave ratio, impedance, gain, bandwidth and radiation pattern are studied. The antenna is simulated using high frequency structured simulator software , simulated < -10dB, in the entire operating range of 4-6 GHz.The proposed antenna design is mainly focused for the wireless applications and is suitable for IEEE 802.11 WLAN standards in the bands 5.2/5.8 GHz and WiMAX standards in the bands at 5.5 GHz. In this design microstrip line feeding is used.
Isolation of Chromium Resistant Bacteria from Contaminated Soil and Its Performance Evaluation for Hexavalent Chromium Removal
Authors:   Department of Civil Engineering, Jadavpur University, Kolkata, India, Sen Piku , Pal Debasish ,   Principal, Uluberia College, Howrah, India., Debsarkar Anupam ,   Department of Civil Engineering, Jadavpur University, Kolkata India.
Published: November 2019

The present study deals with the metal tolerance as well as metal resistance characteristic in bacteria isolated from mostly tannery effluent contaminated soil. Seven chromium resistant bacteria (CrRB 1-7) were isolated for this study in LB medium amended with 100 mg/L filter sterilized hexavalent chromium (Cr(VI)) solution. The minimum inhibitory concentrations (MIC) of these gram positive and gram negative bacteria were found in the range of 350 – 450 mg/L of Cr(VI) concentration. Cr(VI) removal potential of these seven isolates were also studied. One isolate CrRB 1 possessed the ability to remove 98.4% Cr(VI) within 24h in LB medium. The effect of hexavalent chromium on their biomass growth potential were further observed. For CrRB1 least differences were found in doubling time calculated from growth curve in presence and absence of Cr(VI). CrRB 1 was then further studied in real life wastewater i.e. tannery effluent to evaluate its performance for removal of Cr(VI).The favorable outcomes encourages for the use of this isolate in green bioremediation technology for tannery industry. The subsequent reactor studies requires to reveal its performance for in-situ application.
Optimized and Efficient Computation of Big Data in Heterogonous Internet of Things
Authors:   Computer Science and Engineering, Dr. M.G.R. Education and Research Institute, Chennai, India., Rajakumar Dr. P.S. , Vijayanand Dr. S. ,   Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, India., Sreeram Dr. G. ,   Department, Name Koneru Lakshmaiah Education Foundation, Guntur, India.
Published: November 2019

The development of information technology, distributed computing, hardware, wireless communication and intelligent technology has been increased in Internet of Things (IoT) heterogonous filed to improve the limitations of cloud computing in big data processing. Computation of data over wireless communication based distributed computing face different challenges in term of off-loading decision, data delay in heterogonous IoT devices. Optimization of caching, data computation and load maintenance of different edge clouds is still a challenging task in heterogonous IOT for effective processing of big data. So that this paper presents Novel Optimized and Sorted Positional Index List (OSPIL) approach on big data processing to reduce and optimize delay, I/O cost, CPU usage and memory overhead significantly. In this approach sorted index is used to build attributes are (data consists different attributes) arranged in ascending order. This approach consists two phases in data processing, in Phase 1, scan the depth of all the sorted list and schedule the processing data. In phase 2, explore the sorted list and then give results in sequential order on hash table. Experimental results of proposed approach give better and significant data processing results to optimize delay, I/O cost, CPU usage and memory overhead on real world data sets relates wireless communication.
Deep Learning Based Prediction of Autism Spectrum Disorder using Codon Encoding of Gene Sequences
Authors:   Department of Computer Science, PSGR Krishnammal College for Women, Coimbatore, India., Sudha V. Pream , Vijaya Dr. M. S. ,   Department. of Computer Science, PSGR Krishnammal College for Women, Coimbatore, India.
Published: November 2019

The development of computational tools to recognize Autism Spectrum Disorder (ASD) originated by genetic mutations is vital to the development of disease-specific targeted therapies. Identifying genes causing the genetically transmitted ASD is still a challenging task. As genomics data is dependent on domain specific experts for identifying efficient features and extracting hand-crafted attributes involves much time, an alternate effective solution is the need of the hour. The rapid developments in the design of deep architecture models have led to the broad application of these models in a variety of research areas and they have shown considerable success in sequential data processing tasks. The primary goal of this work is to classify the ASD gene sequences by employing a Deep Neural Network based model. This in turn will enable effective genetic diagnoses of this disease and facilitate the targeted genetic testing of individuals. This work utilizes codon encoding and one hot encoding technique to transform the mutated gene sequences which are exploited for self learning the features by deep network. Experiments showed that the performance of the proposed model was better than that of the conventional Multilayer Perceptron with promising accuracy of 77.8%, 80.1% and 81.2% for three different datasets.
Complete Street Planning and Design: A Framework to Develop Quantitative and Qualitative Evaluation Method
Authors:   Ph D Scholar in School of Architecture and Planning at (GD) Goenka University, Gurgaon., Kumar Varsha Khetrapal , Chadchan Jayprakash ,   Currently Working as Professor at NITTE School of Architecture, Bangalore, India., Mishra Sudipta K. ,   Associate Professor in (GD) Goenka University, Gurgaon.
Published: November 2019

Many countries over last few decades have worked on complete street planning and designing. As per various researches and organizations, the complete streets are the streets that are context sensitive and designed to accommodate all types of users, considering safety, accessibility and mobility for all types of users. The type of user for every street may vary due to the function and context of the street. Streets are not only the linear linkages but should be treated as 3D spaces. To have a context sensitive street it is equally important that the built mass along the street should be evaluated and designed accordingly. The proposed evaluation methodology will be done at overall level to study the street context, overall quality of services, detailed study for street design elements and measuring urban design qualities for pedestrians through which the study will go one step ahead and evaluated the importance of integrated approach for complete street planning and design. For the evaluation of the streets the selection of study area was on the basis of its context and function. The urban landuses identified are residential, commercial, intuitional and open spaces, which contributes about 85% of the land reservation in master plan. This paper aimed to present the quantitative and qualitative framework evolved to evaluate the street planning and design through identified streets to assess the completeness of the existing streets in Gurgaon. The method of evaluation will help to check the completeness of streets in terms of context, quality of services, street design elements and urban design quality for pedestrians. Through street evaluation the shortfalls can be prioritized and streets can be improved accordingly to become the complete street. The method will help to check the completeness of streets in Gurgaon and other cities with some variations for better cities and better streets.
Object Detection: Automatic License Plate Detection using Deep Learning and OpenCV
Authors:   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Vishal R Mario , Maram Deekshith ,   Computer Science and Engineering, SSRM Institute of Science and Technology, Chennai, India., Chaitanya P Krishna ,   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Angeline R ,   Department of Computer Science Engineering in SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

Object Detection is one of the most important concepts of Computer Vision which is used in various areas like Medical Field, Security, Self Driving cars, Automated vehicle systems etc. We choose the application of Automatic License plate Recognition. Automatic License Plate Recognition is an emerging technology which is helpful in many fields and at the same time is challenging. It’s challenging because we need to get the accurate recognition of the characters in a number plate. In practical applications where sometimes the images are captured in the worst weather condition, bad lighting, wind. And to the addition, license plates are often dirty or blackened due to the smoke, half broken , or having scratches on certain characters and detection of too many license plates in a single frame. All these will act as the obstacles in developing an effective ALPR system. So basically, this is a system where recognition of characters from images using Computer Vision techniques are performed. This system is implemented in many fields like parking lots, private and public entrances, toll gates, theft control, checking the authentication of a vehicle. Procedure followed in this paper are, first capturing images from camera then loading that into system, preprocessing done using OpenCV library. Then we use Attention OCR a deep learning model to recognize the characters from an image. And later display that in the GUI and store them in the databases for different operations later.
An IoT-ML based Proactive Walking aid for the Visually Challenged
Authors:   Computer Science, Vellore Institute of Technology, Vellore, India., Malhotra Srijan , Balasubramanian Krithika ,   Computer Science, Vellore Institute of Technology, Vellore, India., Sultana H Parveen ,   Computer Science, Vellore Institute of Technology, Vellore, India.
Published: November 2019

The numbers of elderly people are rising in countries like India and China. Most of the elderly uses a walking stick for their commuting. Also blind peoples need a walking aid for their day to day life. This work mainly focuses on the design and development of a proactive walking aid for the blind and the elderly peoples. The stick is designed mainly using a ultrasonic sensors which is fit along with the existing hardware. This work analyses various difficulties that a person with disabilities faced in their life. So this work caters or handles most of the aspect an elderly or blind is needed using Internet of Things (IoT). Apart from the ultrasonic sensors it employs a buzzer that beeps when a person or object is approaching in front of the stick. Whenever a person with the stick get hit or stuck somewhere for a predefined time, then an alert along with the GPS coordinates sent to the emergency contact. Most of the literature supports a stick with reactive in nature, this work supports a proactive approach as it predicts the object at a distance rather than after it touches the stick. This system also employs machine learning algorithms to predict the nature of the person using the stick. Our results have shown that the stick can be the only aid that either an elderly or blind people can use.
Distributed Parallel Performance of Compression Molding Model for Some Characteristics Identification of Tire Tread Block
Authors:   Center for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia., Alias* Norma , Darwis Roziha ,   Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia., Yusniman Noorazura Shahira ,   Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Johor Bahru, Johor, Malaysia., Hashim Nuraini ,   Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Johor Bahru, Johor, Malaysia.
Published: November 2019

A control process based on the mathematical modeling of phase change simulations was used to address process limitations of tire tread manufacturing process. The objective of this model was to predict and monitor expected characteristic identifications respect to space and time. This paper proposes a high-performance control process for visualizing the temperature behavior of a compression molding process using pressure, density, elasticity, crack propagation, volume, space, and time during tire tread block manufacturing operations. The control process modeling of tire tread blocks at the liquid-solid interface enabled the use of large sparse computations for solving the real time molding process of a Rubber Compression Molding Machine (RCMM) LWB VRE 1000 type at the Malaysia Rubber Board Research Center (LGM). The modeling simulation emphasized parallel algorithms, domain decomposition, and parallel processing techniques on Distributed Parallel Computer Architecture (DPCS). This study identified alternative numerical methods and their parallelization by comparing numerical analysis and parallel performance indicators using tables, graphs, and multidimensional visualizations. The multidimensional visualization of characteristics using the high-performance control process model accurately illustrated the heating and cooling profile of the compression molding process.
Three Dimensional Radiated Water Wave with a Submerged Cylinder in Presence of Circular Plate
Authors:   Mathematics department, North Eastern Regional Institute of Science and Technology, Nirjuli, Itanagar, India., Borah Pankaj , Bishawkarma Manoj ,   Mathematics department, North Eastern Regional Institute of Science and Technology, Nirjuli, Itanagar, India.
Published: November 2019

This work deals with the problem of radiated by wave interaction with a couple of submerged cylinders in water which can be considered as a wave energy device and the problem arising from the rotational motion of submerged upper cylinder which one contains in the device. In this work, we approach theoretically to solve the problem based on the method of separation of variables and we derive the radiated velocity potentials numerically based on linear wave theory and eigenfunctions are introduced for each region by using free surface condition. Then we calculate the hydrodynamic coefficients due to rotational of the upper cylinder by using Bernoulli’s equation of pressure by neglecting the atmospheric pressure and unknown constants are calculate by using matched conditions between the regions Finally, we present all numerical results graphically for different radii of the cylinders.
An Effective and Reliable Technique for Brain Tumor Detection
Authors:   CSE Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India., Sudarsa Dorababu , Parasa Gayatri ,   CSE Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India., Reddy B.Dushyanth ,   CSE Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India., Rao P.Venkateswara ,   CSE Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India.
Published: November 2019

With the fast blast in specialized advancement, clinical field is creating like anything. For making right stable we need participation from every hand. As such, presently a day’s clinical and building innovation, each are consolidated and making new developments in medicinal field. These advancements are edifying the life of human by method for providing appropriate treatment. Medicinal field arrived at an unprecedented area in diagnosing tumors after the revelation of CT and MRI. Ongoing bioengineering specialists worried in clinical picture division calculations to accelerate the doctor’s analytic procedure. Tumor division from attractive reverberation imaging (MRI) data is an imperative anyway time eating manual venture completed by means of medicinal specialists. The an assortment of present mechanized ability tumor division strategies are being depicted here. Likewise, proposed another calculation to wind up mindful of the tumor territory and to figure its place dependent on morphological activity.
Simulation of Temperature Regime of Pavement Layers in Transition Periods of Road Climatic Zone IV
Authors:   MADI, 64, Leningradsky Prosp., Moscow, 125319, Russia., Nosov Vladimir Petrovich , Nemchinov Michail Vasilievich ,   MADI, 64, Leningradsky Prosp., Moscow, 125319, Russia., Borisyuk Nikita Vladimirovich ,   MADI, 64, Leningradsky Prosp., Moscow, 125319, Russia., Silkin Vyacheslav Vasilievich ,   MADI, 64, Leningradsky Prosp., Moscow, 125319, Russia., Belyanin Ivan Alexandrovich ,   MADI, 64, Leningradsky Prosp., Moscow, 125319, Russia.
Published: November 2019

Pavement icing during short-term night temperature drops leads to deterioration of highway performances and increase in road traffic accidents (RTA) in Krasnodar Krai. Peculiar features of temperature regime in road climatic zone (RCZ) IV are analyzed. The considered climatic zone is characterized by frequent zero crossing temperatures of air and road pavement, sharp short-term temperature drops in nighttime, frequent icing of road pavement. Main factors are highlighted which effect temperature regime of road structures. Mathematical model is presented for prediction of road pavement temperature based on weather forecasts. Possibility to decrease the volume of pavement icing by means of thermophysical properties of pavement layers is analyzed.
Human Oversight Due to Usage of Smartphone Prevented By using an AR-H.U.D in A Helmet
Authors:   Department of Computer Science and Engineering, SRM IST, Chennai, India., Lalithadevi B. , Sasidharan Anand Sasidharan, ,   Department of Computer Science and Engineering, SRM IST, Chennai, India., Singh Dharmesh Kumar ,   Department of Computer Science and Engineering, SRM IST, Chennai, India., Dangi Nilesh ,   Department of Computer Science and Engineering, SRM IST, Chennai, India.
Published: November 2019

It is difficult to manage a smartphone for useful purposes on the road by a motorcyclist rather than a motorist. A H.U.D or a Head up Display makes it much easier and less hazardous for a motorcyclist to attain proper usage of various on road features provided by a smartphone like navigation, etc. In this paper, a study comparing the usage of a Head up Display unit in a helmet over the smartphone has been conducted. The H.U.D has decreased unnecessary glances and it is conclusive that peripheral vision allows maintaining a better cognizance. Also, the user interface is easy to learn and use and does not require visual attentiveness from the user.
Enhancing Classifier Accuracy in Ayurvedic Medicinal Plants using WO-DNN
Authors:   Research Scholar GNDEC, Bidar, Visvesvaraya Technological University Belagavi, Karnataka India., Keskar Margesh , Maktedar Dr.Dhananjay ,   Professor GNDEC Bidar, Visvesvaraya Technological University Belagavi, Karnataka India.
Published: November 2019

Identification of right medicinal plants that goes in to the formation of a medicine is significant in ayurvedic medicinal industry. This paper focuses around the automatic identification proof of therapeutic plants that are regularly utilized in Ayurveda. The fundamental highlights required to distinguish a medicinal plant is its leaf shape, color and texture. In this paper, we propose efficient accurate classifier for ayurvedic medical plant identification (EAC-AMP) utilizing using hybrid optimal machine learning techniques. In EAC-AMP, image corners detect first and top, bottom leaf edges are computed by the improved edge detection algorithm. After preprocessing, the segmentation can achieve using spider optimization neural network (SONN), which segments leaf regions from an image. The time and frequency domain features are computed by the symbolic accurate approximation (SAX); other features shape features, color features and tooth features are computed by the two-dimensional binary phase encoding (2DBPE). Finally, a whale optimization with deep neural network (DNN) classifier is used to characterize the type of plants. Accuracy in identification of any ayurvedic plant leaf is achieved by understanding and extracting the plant features. The main objective of the proposed EAC-AMP approach is to increase the accuracy of classifier. MATLAB experimental analysis showed better results such as accuracy, sensitivity and specificity.
Multi-Objective based Adaptive Meta-Heuristic Algorithm for Optimal Multicast Route Selection in Wireless Ad-Hoc Network
Authors:   Research Scholar, Dept. of Computer Science and Engineering , Noorul islam Centre for Higher Education, Kumaracoil, Tamilnad, India., K Rajkumar , Jeyakumar Dr.M.K. ,   Professor, Dept. of Computer Applications, Noorul islam Centre for Higher Education, Kumaracoil, Tamilnadu. India.
Published: November 2019

Mobile Ad-hoc Network (MANET) built by a lot of mobile nodes which are communicated over remote channel without having any centralized administration and fixed infrastructure. Multicasting is a method to forward a data packet from one node to a number of receivers’ node at a time. There are different challenges in a MANET because of restricted resources and dynamic network topology. Because of the node mobility, performance metrics of the network such as energy, delay, and bandwidth make uncertainty problems in MANET. These uncertainty problems affect the performance of optimal path selection between the source node and the number of destination nodes. So, in this paper, multi-objective based adaptive meta-heuristic algorithm is presented for optimal multicast route selection in MANET. Among the multicast routing paths, optimal routing path is selected using adaptive artificial fish swarm algorithm (AAFSA). For fitness calculation, three objective functions based on energy, delay and bandwidth are derived in this algorithm. Simulation results show that the performance of the proposed multicast routing protocol outperforms existing multicast routing protocols in terms of delivery ratio, delay, energy consumption and network lifetime.
Performance Assessment of Different VLSI Architectures for Data Comparators for Cost Effective Sorting Networks
Authors:   Assistant Professor, Department of ECE, Kongu Engineering College, Perundurai, Erode, V* Geetha , V Anbumani ,   Assistant Professor, Department of ECE,Kongu EngineeringCollege,Perundurai,Erode, K Ragakavya ,   UG Student, Department of ECE, Kongu Engineering College, Perundurai, Erode, P Navaladi ,   UG Student, Department of ECE, Kongu Engineering College, Perundurai, Erode, S Ponraj ,   UG Student, Department of ECE,Kongu Engineering College,Perundurai,Erode
Published: November 2019

Noise removal is one of the major requirements in image, speech and signal processing applications. Impulse noise removal in image processing uses median filters. For edge preservation in image processing this acts as one of the best alternative non-linear technique to linear filtering. Real time hardware implementation of median filters has major concern of sorting networks. Efficient VLSI implementation of sorting network in terms of hardware complexity is of greater importance. This work provides a comparison of existing six data comparators and also proposes three modified data comparators in terms of their hardware complexity, area, power and speed. All the comparators were designed using verilog HDL and were targeted for xa6slx4-3-csg225using Xilinx ISE 9.2i FPGA design suite. From the results Modified Twos Complement Based Data Comparator is the minimum area required architecture with maximum combinational path delay and also with minimum number of LUTs used. The drawback of this architecture is the maximum memory requirement. The Modified Multiplexer Based Data Comparator and Modified Decoder Based Data Comparator architectures are suitable for memory efficient design.
Sentiment Analysis of Patients' Opinions in Healthcare using Lexicon-based Method
Authors:   Department of CSE, Koneru Lakshmaiah Education Foundation, A.P, India., Sri* V.I.S. Ramya , Niharika Ch. ,   Department of CSE, Koneru Lakshmaiah Education Foundation, A.P, India., Maneesh K. ,   Department of CSE, Koneru Lakshmaiah Education Foundation, A.P, India., Ismail Dr. Mohammed ,   Department of CSE, professor at Koneru Lakshmaiah Education Foundation, A.P, India.
Published: November 2019

The rapid increase in technology made people across the world use social networking sites to express their opinions on a topic, product or service. The success of a healthcare service directly depends on its users. If a majority of users like the service then it is a success otherwise, the service needs to be improvised. For improvising the service, the users' opinions need to be analyzed. Manually extracting and analyzing the content present on the web is a tedious task. This gave rise to a new research area called Sentiment Analysis. It is otherwise known as opinion mining. It is being used by many health organizations to make effective decisions on their service. This paper presents the sentiment analysis of patients' opinions on hospitals which is mainly used to improve healthcare service. This is implemented using a lexicon-based methodology to analyze the sentiment.
Ontology Based Recommender System using Fuzzy Clustering Technique
Authors:   Department of Computer Science, School of Information Technology, Madurai Kamaraj University, India., Thangaraj Dr. M , Saraswathy Ms. P. Aruna ,   Department of Computer Science, School of Information Technology, Madurai Kamaraj University, India.
Published: November 2019

Recommender systems (RS) are the agents of information filtering processes. With a myriad of data in the world wide web, reaching the exact entity of interest is the need of the hour. Collaborative filtering is a type of RS concerned with studying past data to predict assumptions for the future. In this work, the collaborative filtering recommender is improved by incorporating ontology and fuzzy clustering algorithms to provide ranked recommendations. Ontology models semantic information from raw natural language data to better represent domain knowledge and user preferences. In this way, data sparsity problem could be sorted. The proposed recommender framework runs on top of a historical data that is not only semantic but also represents users preferences perfectly. Another problem of cold start can also be solved by including maximum expectation strategy by constructing the user ontology and domain ontology separately and mapping it to achieve a unified recommender ontology. Using fuzzy clustering introduce a degree of membership for each user with their interests. It also allows for attributes to be distributed in more than one cluster, thus enabling users to be clustered in the most inclusive manner possible. Which provides for ranked recommendations that represent diversified interests of a single user. The dynamic framework is compared with baseline models. Experimental results have shown significant improvement in the recommendation accuracy.
Design Modifications in RF Interaction Cavity of a 140 GHZ Gyrotron to Achieve Wide Tunable Bandwidth for DNP NMR Applications
Authors:   Centre of Research in Microwave Tubes, Department of Electronics Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India., Rao V Sivavenkateswara , Thottappan M. ,   Centre of Research in Microwave Tubes, Department of Electronics Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India., Jain Pradip Kumar ,   Department of Electronics and Communication Engineering, National Institute of Technology, Patna, India.
Published: November 2019

The tapered RF interaction cavity of 140 GHz tunable continuous wave (CW) gyrotron operating in TE0,3,q mode has been tailored with the aim of providing RF power over a tunable bandwidth for 212 MHz DNP NMR spectroscopy applications. Gyrotron device RF interaction cavity design, its beam absent RF characteristics as well as electron beam and RF wave interaction behavior, both analytical and Particle-in-Cell (PIC) simulation studies have been presented. Using linear analysis, the start oscillation currents and the RF field profiles for the various axial operating modes indices q = 1, 2, 3 have been determined. Suitable modifications in the interaction cavity have been incorporated for the enhancement of device tunable bandwidth by operating the gyrotron in the high order axial indices via magnetic tuning. Gyrotron beam-wave interaction behaviour explored using time dependent non-linear multi-mode analysis for various beam currents and magnetic fields and more than >15W of RF power over a tunable bandwidth of 400MHz has been achieved through magnetic field tuning. This tunable bandwidth gyrotron design will of immense use for enhancement of sensitivity of the DNP NMR spectroscopy.
Exploring the Mediating Effect of Responsive Market Orientation between the Relationship of Entrepreneurial Orientation and Firm Performance
Authors:   Assistant Professor), Department of Marketing, College of Business Administration, Ajman University, UAE., Sharma Dr. Anshuman , Khan Dr. Zaheer Ahmad ,   Assistant Professor, Department of Business and Economics, Mazoon College, Muscat, Sultanate of Oman., Arya Vikas ,   Assistant Professor, Rajalakshmi School of Business, Chennai , India.
Published: November 2019

The purpose of this paper is to investigate the mediating effect of responsive market orientation (RMO) on the relationship between entrepreneurial orientation (EO) and performance in small and medium-size enterprises (SMEs) in Oman. The study specifically investigates whether there is a mediating effect of responsive market orientation in the hypothesized relationships. A field survey was used to collect data from 175 SMEs. Structural equation modelling (SEM) was used to conduct a confirmatory factor analysis and Andrew Hay’s process macro was used to compute the mediating effect of RMO on the relationship between EO and SME’s performance. While the results indicate a significant relationship between entrepreneurial orientation and performance, responsive market orientation was found to be the mediator in the relationship (i.e. between EO and performance). The study underscores the importance of entrepreneurial and responsive market orientation for managers and owners of SMEs in Oman in order to compete and grow in regional market of GCC.
Decentralization of Authorities in Ukraine; As an Efficient Instrument for Strengthening Local Democracy in The Modern Stage Of Government
Authors:   Professor*, N.P Reznik ,   National University of Life and Environment Science of Ukraine, Ukraine., Srivastava Vivek ,   Associate Professor, IIMT College of Management, Greater Noida, U.P, India., Nekryach Аnastasia ,   Doctor of Political Sciences, Professor, Academician of the Ukrainian Academy of Political Sciences, Vice-Rector for Scientific Work of Kyiv International University, Ukraine., Martynenko Svitlana ,   Doctor of Pedagogical Sciences, Professor, Academician, Vice-Rector for Development of Kyiv International University, Ukraine., Naumenko Raisa ,   Doctor of Public Administration, Professor, Professor of the Department of Public Management and Administration, Kyiv National University of Trade and Economics, Ukraine., Haidai Oksana ,   Doctor of Economics Science, Associate Professor of the Department of Public Management and Administration, Uman National University of Horticulture, Ukraine., Petrenko Nataliya ,   Doctor of Economics Sciences, Associate Professor, Acting Head of the Department of Public Management and Administration, Uman National University of Horticulture, Ukraine.
Published: November 2019

The article deals with the issue of the decentralization of power in Ukraine, the unification of territorial communities, the development of a democratic local government, the establishment of local democracy, the factors that influence this process, the forms of participation of residents in solving everyday problems of the community. The purpose of the research paper is to reveal the mechanisms of decentralization of power at the local level, identify the main tendencies that appear during its implementation, ways to improve local governance and develop local democracy in the current crisis. In result, the study has established that the found in the developed democratic countries, the Institute of Local Self-Government – is a unique area that promotes the introduction of such signs of democracy as a community of tasks, joint responsibility, universal agreement, brotherhood, tolerance, equality. So, local democracy is necessary; it should be developed, strengthened in all directions. Has been established that the active form of citizen participation in community affairs is the implementation of the idea of the participation budget or public budget. The project had supported in virtually all regions of Ukraine and, thanks to it, people managed to solve a large number of local affairs under its responsibility, while increasing transparency and accountability of management structures and deepening decentralization processes on the ground.
Is the Delayed Correction Coming Down in Tidying up the Language Knowledge of Engineering Graduates in the Substantial Classrooms?
Authors:   (PhD) Research Scholar, , Veltech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, Tamil Nadu, India., Selvi M.D.Thamarai , Kumar Dr. Ramesh ,   Assistant Professor of English, Veltech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, Tamil Nadu, India.
Published: November 2019

This analysis focuses on however editing and correction boil down to cleaning up the grammatical, mechanical and usage errors within the writings of engineering students. The matter known within the engineering students writing is that they need “knowledge problems” yet as “performance issues.” This downside is proved with the instance of huge class room. The classroom consists of sixty students is taken as sample. The teaching technique used here is delayed correction. Through this method and its analysis is proved that editing and error correction reduced in framing Ill formed sentences. The method used is that the classroom split into groups of five Students as Self -peer and teacher correction evolved during this activity.
Role of Brand Awareness, Brand Loyalty and Advertisements towards Consumer Buying Behaviour in Insurance Industry
Authors:   Professor, Research Supervisor, School of Management Studies, Vels Institute of Science, Technology and Advanced Studies, Chennai, India, Sudha* Dr.S. , Shalini Dr.P. ,   Professor, Research Supervisor, School of Management Studies, Vels Institute of Science, Technology and Advanced Studies, Chennai, India, Vennilaashree Dr.S. ,   Professor, Research Supervisor, Department of Commerce, Vels Institute of Science, Technology and Advanced Studies, Chennai, India
Published: November 2019

In the era of competition companies do face tough competitions in selling their products and services. The insurance industry too is not an exception to this. It is important that organizations do follow proper marketing strategies to grab the attention of the consumers. This paper has tried to research and reveal the best strategies that would help the insurance organizations to sell their insurance products to the consumers. Independent variables like Brand Awareness, Brand Loyalty and Advertisements. The dependent variable is Consumer Buying Behaviour was chosen for the study Data was collected from 100 insurance buying consumers on convenience basis. The results reveal, that brand awareness alone contribute towards insurance buying behavior but brand loyalty and advertisement contribution towards consumer buying behavior has not proved to be significant. Even though they do not contribute, these two variables are like pepper and salt required for pushing the insurance products.
A Mathematical Model for Increasing Incidence ofTuberculosis in Poverty Driven Confined Areas and Measures for Control
Authors:   Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522 502, AP, India., Murthy* Ch V Ramana , Kavitha K R ,   Freshman Engineering Department, Lakireddy Bali Reddy College of Engineering, Mylavaram-521 230, AP, India, Rani K Jhansi ,   Freshman Engineering Department, Lakireddy Bali Reddy College of Engineering, Mylavaram-521 230, AP, India
Published: November 2019

Tuberculosis is observed to be most prevalent airborne infectious diseases killing hundreds and thousands of people every year. Mostly, the disease spreads in poverty driven poor countries and also to some extent in developing nations. The disease transmits in situations where infected persons are in close contact with others in confined spaces and also living in poor and unhygienic conditions. It is well recognized that overcrowding increases the risk of transmission. A detailed analysis is presented in this paper with respect to the various participating parameters. Interestingly, the results presented in this paper illustrate the occurrence and propagation of the disease as a mathematical model. The results are in agreement with the real life situations and the number of new infections is observed to be linear. It is seen that for fixed time (t), as the room volume (V) increases, the new infections(C) decreases gradually. In general it is seen that as the ventilation rate (N) increases, the new infections decreases quite rapidly. Further, it is observed that as time increases for a constant ventilation rate, an increase in the new infections is noted. Also, for a constant room volume as time increases, the number of new infections is found to be increasing. An interesting feature is that as the ventilation is progressive, a steep fall in the new infections is noted in the initial stages and subsequently, the drop is not that significant. The influence of time gradually seems to be diminishing as the ventilation rate increases. As the room volume increases, the new infections decrease at a faster rate. However, in each of these observations, it is seen that as ventilation rate increases, the number of new infections are found to be inversely proportional. Such a decrease is more predominant in the initial stages but decreases subsequently
Performance of GPSR with different Routing Protocols in Wireless Sensor Networks
Authors:   Ph.d Scholar, ECE Department, Saveetha School of Engineering, SIMATS University, Chennai, Tamil Nadu, India., Kumar* M.V.N.R. Pavan , Hariharan Dr. R. ,   Associate Professor, EEE Department, Saveetha School of Engineering, SIMATS University, Chennai, Tamil Nadu, India.
Published: November 2019

Wireless sensor Networks (WSN) are supposed for watching associate environment by sensing it, then collecting information,processing it and eventually transmitting information to final destination. These sensor hubs have a few requirements in view of their confined vitality, stockpiling ability and figuring power. Data is directed from one hub to various utilizing diverse steering conventions. There is assortment of steering conventions for remote sensor systems, where the vitality controlled by a hub is prohibited and visit correspondence between hubs may make the hubs exhaust their vitality assets rapidly. Therefore, we need appropriate routing protocols. Routing protocols are responsible of discovering and maintaining the routes within the network. This paper presents a parametric review of GPSR with routing protocols projected for wireless sensor networks.
Research on Three phase Voltage Source PWM Rectifier Based on Direct Current Control
Authors:   Research Scholar, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India., Darshanam M. Deva , Hariharan Dr. R. ,   Assosciate Professor, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India.
Published: November 2019

This paper is focused on the development of the rectifier for three phase voltage source to achieve unity power factor at input supply mains. The mathematical model is developed for PWM using direct current control and to apply 3-phase voltage source rectifier decoupled with feed-forward control. This method regulates the output voltage with reduced harmonics. Different PWM techniques such as Hysteresis band and Carrier based sinusoidal is applied and their performance is analysed. This work is implemented in MATLAB/SIMULINK environment. The results confirm the validity of the model and its control method.
Certain Issues Related to the Implementation of International Standards in Uzbekistan's National Legislation with Regard to Improving C onditions of Detention of Women
Authors:   Tashkent State University of Law, Tashkent Uzbekistan., Akhmedova* Guzalkhon
Published: November 2019

The article opens the publications which are relevant to the problems research in the penitentiary system. The main problems in the legislation developing process, disadvantages of the current system are critically described so that to fulfill the international standards of the penal policy. According to the provisions enshrined in international legal standards, the decision on the distribution of convicted prisoners between penal institutions should not create difficulties for convicts and their families. For social rehabilitation, convicts should be detained in penitentiary institutions close to their residence or at a distance as close as possible to him. In this regard, the author notes with satisfaction the efforts of international organizations that contribute to the development of women's rights in Central Asia. For example, at the First Regional Meeting in Astana, the Representation of the International Prison Reform in Central Asia presented a project to improve the access of vulnerable categories of convicts to justice, where the vulnerable categories were noted as including not only people with disabilities, the elderly, the sick, those sentenced to death penalty, but also women. The present penal reforms in Uzbekistan lead to the discussion to recognize and implement those standards as the main policy on legislative level.
The Use of Innovation Technologies in the Formation of Students' Professional Competences
Authors:   professor Tashkent Institute of Engineers of Irrigation and Agricultural Mechanization. The Republic of Uzbekistan, Tashkent, Uzbekistan, Karabaevna* Zuxra , Raximovich Bayramali ,   assistant Tashkent Institute of Engineers of Irrigation and Agricultural Mechanization The Republic of Uzbekistan, Tashkent, Uzbekistan, Махмуджанович Нодирбек ,   Applicant of Tashkent State Technical University named after Islam Karimov. The Republic of Uzbekistan, Tashkent, Uzbekistan
Published: November 2019

This article is dedicated to the problem of the usage of educational integrated technology during the process of training of the future vocational education teachers in order to form independently and productively thinking personality. Keywords: technology, integrated technique, competence, context educational technology. Аннотация. Данная статья посвящена проблеме использования комплексной технологии обучения в процессе подготовки будущих преподавателей профессионального образования с целью формирования творческой, самостоятельно и продуктивно мыслящих личности.
Some Results of Moisture and Salt Transfer in the Initial Period of Plant Development
Authors:   Tashkent institute of irrigation and agricultural mechanization engineers. Tashkent, Uzbekistan., Aliakbar Khojiyev , Rustam Muradov ,   Tashkent institute of irrigation and agricultural mechanization engineers. Tashkent, Uzbekistan., Anvrovich Khaydarov Tuygun ,   Tashkent institute of irrigation and agricultural mechanization engineers. Tashkent, Uzbekistan., Nurmamat Rajabov ,   Tashkent institute of irrigation and agricultural mechanization engineers. Tashkent, Uzbekistan., Burxon Utepov ,   Tashkent institute of irrigation and agricultural mechanization engineers. Tashkent, Uzbekistan.
Published: November 2019

Water - as moisture, has essential role in all biochemical processes of plants, all vital processes, occurring in a vegetative organism, can proceed normally only under condition of sufficient saturation of cages by a moisture.Results of theoretical researches on dynamics of ground humidity have shown: (1) similarity of physical processes of change of humidity of soil on different irrigated areas. (2) hysteresis of the nature of humidity at an irrigation and drainage. (3) sharp recession of humidity of soil in the root zone.