bluuebunny/crossref_metadata_2025 huggingface dataset:
Solving Fuzzy Assignment Problems with Hexagonal Fuzzy Numbers by using Diagonal Optimal Algorithm
Authors:   Vellore Institute of Technology , Chennai Campus, Chennai (Tamil Nadu), India., Dhanasekar* S. , Kanimozhi G. ,   Vellore Institute of Technology , Chennai Campus, Chennai (Tamil Nadu), India., Manivannan A. ,   Vellore Institute of Technology , Chennai Campus, Chennai (Tamil Nadu), India.
Published: November 2019

In this article, an approach involving diagonal optimal method has been proposed to solve Hexagonal fuzzy assignment problem(HxFAP). To order the hexagonal fuzzy numbers Yager’s Ranking technique is applied. To understand the algorithm two numerical examples are illustrated.Mathematics Subject Classification: 90C08, 90C70, 90B06, 90C29, 90C90.
Mobile IPv6 Security Performance Metrics for WIMAX Roaming Environment
Authors:   Department of Computer Applications, KIET Group of Institutions, Ghaziabad, India., Tripathi* Arun Kumar , Singh Shweta ,   Computer Applications, Vidhya Knowledge park, Meerut, India,
Published: November 2019

To provide uninterrupted communication services the IETF standardized the various communication protocols. Mobile Internet Protocol is first standard protocol and responsible for secure and reliable communication, while the mobile user switches from one geographical area to another. For such a scenario, two or more devices are permissible to exchange information, while one or more devices changing the geographical location. The implementation of mobility management protocols suffers from various challenges, such as, delay to reach data packet to its destined device, load on network, long queuing delays to data packets and it results the time out error and packet loss, reduced throughput etc. To reduce these parametric factors, concept of encryption and proxy are enabled in the proposed simulation scenarios, and new measurement to these parametric values is taken. The comparative performance needs to be measured through OPNET Modeler and results show that the proposed scheme is better than the existing one.
An Efficient Variable Distance Measure K-Means [VDMKM] Algorithm for Cluster Head Selection in WSN
Authors:   Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India., Dubey* Ashutosh Kumar
Published: November 2019

Wireless sensor networks (WSNs) provide an empirical and explorative ways to handle and collection of the data in the centralized way. In this paper an efficient variable distance measure k-means [VDMKM] algorithm for cluster heads (CHs) selection in WSN has been presented and analyzed. This approach is divided into two phases. In the first phase data preprocessing has been performed. In this phase size-based weight and threshold assignment have been done on the scaling factor of 1-10. In the second phase VDMKM approach has been applied. The main benefit of this approach is the capability of smaller distance assignments automatically based on different distance measures. The distance measures used here are Euclidean, Pearson coefficient and Manhattan correlation. The complete cluster correlated delay has been calculated along with the packet delivery time. Our distance measure based automatic distance adjustment approach provides better suited distance-based packet delivery in less time. The results are more prominent in the case of Euclidean and Manhattan.
Peculiarities of Digital Economy and Its Development Tendencies in the Banking System of Uzbekistan
Authors:   Management and Marketing Department, Tashkent University of Information Technologies named after Mukhammad al-Khwarizmi, Tashkent, Uzbekistan., Kurbanova* Maftuna , Atavullaeva Feruza ,   Economics and Management in ICT sphere, Tashkent University of Information Technologies named after Mukhammad al-Khwarizmi, Tashkent, Uzbekistan.
Published: November 2019

The article is devoted to the discussion of recent trends and reformation in digital economy and banking system in Uzbekistan. The object of the research is the PJSCB “RAVNAQ-BANK”, while implementing and developing of digital economy in the financial sector of the Republic of Uzbekistan is the subject of this article. The actuality of the research consists of increasing the number of scholars who are interested in how to develop digital economy in several developing countries and by this to achieve economic effectiveness in both the scope of country and company. For example, regardless of the reformations and development in this sphere, there is a row of problems unsolved. Nowadays, population seems not to be satisfied with the supply of banking services; hence the number of complaints on the work of service providers is increasing. Besides, the problems in the sphere of banking services also arise from the lack of the mechanism of monthly taking measurements from the counters and the absence of central database of consumers. The analysis of the main approaches determining the contribution of digital economy to the banking sphere, formulation of recommendations relating to the prior directions to achieve the step-by-step digital transformation of the sphere of banking make up the scientific novelty of the research. The research consists of four parts. Firstly, the role of digital economy in the banking sphere is explored. Secondly, the application of mobile system to the banking services is investigated. Thirdly, reformation processes of digital economy by developing banking system of PJSCB “RAVNAQ-BANK” are examined. Lastly, introduction of digital economy to the sphere of banking and banking services for integration with e-government are discussed.
Measurement of Circulation of Blood Volume(CBV) and Total Blood Volume(TBV) in Heart using Doppler Color Flow Imaging in Ultrasound Videos
Authors:   School of Electronics and Telecommunication, Maharashtra Institute of Technology World Peace University (MIT-WPU), Pune, India, Khairkar* Dipti , Annadate Mrunal N ,   School of Electronics and Telecommunication, Maharashtra Institute of Technology World Peace University (MIT-WPU), Pune, India.
Published: November 2019

Total blood volume (TBV) analysis is key to manage the patients with cardiopulmonary bypass (CPB) cardiac surgery. Circulation of blood volume (CBV) is essential because the processes that maintain the connection between red cell volume (RCV), plasma volume (PV) and CBV may not be measured. The differences in significant surgery in patients do not always work efficiently and changes in CBV and need intensive care. The visible physiological clinical shock require urgent methods to regulate CBV because the current method is complicated and involves intervention. The current approaches to estimating blood quantity are labor-intensive, complex, and time-consuming. Severe depletion of quantity leads to selective vasoconstriction masking. Last decade, science has introduced different techniques for estimating blood quantity. So the scheme that can offer a precise assessment of blood quantity in the human body needs to be implemented. In this paper, a system is proposed where color flow imaging is used to measure TBV and CBV. The videos used are Doppler 2d echocardiogram which shows the color Doppler flow in the heart. The method used in this paper can be an alternative to the present methods of calculating the TBV and CBV as it is easy to measure the parameters with the help of Doppler velocity.
Music Genre Classification using Spectral Analysis Techniques With Hybrid Convolution-Recurrent Neural Network
Authors:   Department of Computer Engineering, Jamia Millia Islamia, New Delhi, India., Ahmad* Faiyaz , Sahil  ,   Department of Computer Engineering, Jamia Millia Islamia, New Delhi, India.
Published: November 2019

In this work, the objective is to classify the audio data into specific genres from GTZAN dataset which contain about 10 genres. First, it perform the audio splitting to make it signal into clips which contains homogeneous content. Short-term Fourier Transform (STFT), Mel-spectrogram and Mel-frequency cepstrum coefficient (MFCC) are the most common feature extraction technique and each feature extraction technique has been successful in their own various audio applications. Then, these feature extractions of the audio fed to the Convolution Neural Network (CNN) model and VGG16 Neural Network model, which consist of 16 convolution layers network. We perform different feature extraction with different CNN and VGG16 model with or without different Recurrent Neural Network (RNN) and evaluated performance measure. In this model, it has achieved overall accuracy 95.5\% for this task.
Performance Enhancement of Cloud Computing: Methodology & Tool
Authors:   Principal technical Officer with Centre for Development of Advanced computing (CDAC), Bangalore - India., Jacob* Abey , raj Dr. V cyril ,   Join Registrar (E&T) at Dr.M.G.R University, Chennai - India.
Published: November 2019

This paper describes the testing process employed for testing the in-house developed cloud by using the Google open source tool PerfKit and employing techniques for increasing the performance. Though new tools for testing cloud are emerging into the market, there are aspects which are suited for manual testing and some which can be speeded up using automatic testing tools for various cloud environments for Infrastructure, Platform and Software services. This paper brings out the techniques best suited to test different features of Cloud computing environment and to figure out the lacuna in performance of cloud services. The authors also try to bring out solutions to improve the performance of cloud (recommend) by using various tools to figure out the debugging and analysis process guidelines to follow while fine tuning the performance of private clouds.
Image to Text conversion in Foreign Language using Document Image Processing Technique
Authors:   School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India., Jain* Rishabh , Gupta Satyam ,   School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India., Rizvi Shahzeb ,   School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India., Arora Nitin ,   School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India
Published: November 2019

Every country has their own native languages such France has French, Japan has Japanese, India has Hindi and other local languages like Gujrati, Marathi, Telugu, Tamil, Bengali, etc. When a person who does not know the English Language travel to a country whose local language is English will face many problems like understanding road sign texts, shop’s name, Instructions Boards etc. So, in this paper we are proposing a model with the help of which user can take snap of the scene containing text of which he/she want to translate it, upload that photo, choose the language and the software will provide us the output in text of User’s native language. This model will use Convolutional Neural Network (CNN) to identify the characters, Efficient and Accurate Scene Text Detector (EAST) for detecting the text in the image, Digital Image Processing methods are used to segment the text in the detected text, googletrans for translating the text to other language and Tkinter for creating Graphical user Interface (GUI) for software.
A Simulation Model for Interaction between Cyclic Variation of Brain Tissue Temperature and Intracranial Pressure
Authors:   Department of ECE, Apeejay Stya University, Gurugram, India, Goyal* Kavita , Uddin Moin ,   School of Engineering & Technology, Apeejay Stya University, Gurugram, India., Jindal Vikas ,   Department of CSE, ABES Engineering College, Ghaziabad, India.
Published: November 2019

The brain responds with high sensitivity in case of cerebral damage. Brain temperature (BT), cerebral blood flow (CBF), cerebral blood volume (CBV) and intracranial pressure (ICP) are essential parameters for brain revival in case of cerebral damage. For this reason, the coordinated learning of BT, CBF and ICP is required for improving the remedial impacts. Thus, in this exploration, a simulation model has been developed for association between brain tissue temperature (BTT), CBF, CBV and ICP to improve the apprehensions of the ICP. It includes the cardiac output, partial pressures of oxygen and carbon dioxide in cerebral artery and vein, temperature variations of brain tissue, cerebral metabolic process and pressure-volume relationship for cranial cavity. The model simulates the interaction between arterial blood pressure, BTT, produced amount of CO2 from brain tissue, changes in CBV and changes in ICP. The results show that the ICP and CBV will increase with an increase in brain tissue temperature. This model elaborates the physiology of BTT and ICP with less complexity.
Enhancement of Security in Flying AD-HOC Network Using a Trust Based Routing Mechanism
Authors:   Ph.D, Research Scholar, Department of Computer Science, M. D. University, Rohtak., India., Sharma* Deepak , Jameel Aaisha ,   PG student, CDAC, IP University, New Delhi, India.
Published: November 2019

Security is one of the most vital aspect for implementing FANETs in adverse environments. Hence, research in this area has emerged as an important FANETs field in the recent past. Compared to wired networks, FANETs are more vulnerable to security attacks due to lack of a trusted centralized authority and easy eavesdropping. Further, as nodes in flying ad-hoc networks are susceptible to attacks, a trust model based on direct, as well as indirect trust degrees from similar trusted neighbors is integrated in order to overcome the vulnerability due to attacks by malicious/selfish nodes and to provide reliable packet transmissions. Fading away of trust is incorporated with a perspective to ensure the uncertainty of trust with time until it is updated. Also, AODV algorithm is used for routing in combination with calculated trust values so that efficient transmission of messages can take place.
Internet
Authors:   Assistant Professor, S.B.Patil College of Engineering, Indapur, Pune, Maharashtra, India., Kore* Ashwini , Patil Shailaja ,   Professor, Department of Electronics and Telecommunication, and Dean (Research and Development), Rajarshi Shahu College of Engineering, Pune, Maharashtra, India.
Published: November 2019

Nowadays Internet of Things (IoT) is emerging and effective technology along with Wireless Sensor Networks (WSNs) in a few constant applications in which the human intervention significantly reduced along with better human life. In IoT enabled WSNs, the sensor nodes used to assemble the fragile data and communicate towards the sink hub and actuators for automotive remote monitoring process. However as the WSNs operating at free frequency band, it is powerless against different attacks at various layers of WSNs protocol stack in which attackers may try to hack and compromise the user’s personal information. There are different types of attacks in WSNs and several research works conducted to protect from these attacks in WSNs. Majority of security methods proposed are based layered technique. However, the layer approach is not enough to protect the WSNs effectively as the many attackers used the cross-layer information to perform the attacks. This paper presents the study over the layered security solutions and their research problems at first to justify the importance of cross-layer solutions. The review of different ways of designing the cross-layer security techniques for WSNs with their behaviour presented as well. The challenges of IoT enabled WSNs single layered security solutions presented and then the various cross-layer solutions reviewed in this paper. The comparative study of different cross-layer techniques to demonstrate the layers and their parameters involved to detect of security threats. The outcome of this review work is the research challenges noticed from the present cross-layer solutions.
Sustainable Cocoa Farming Strategies in Overcoming the Impact of Climate Change Through SEM PLS 2
Authors:   Faculty of Agriculture, Andi Djemma University, Palopo, 12510, Indonesia., Idawati*  , Fatchiya Anna ,   Faculty of Human Ecology, IPB University,16680, Indonesia., Ariyanto Dafit ,   Agricultural Faculty, Asahan University, Sumatera Utara, Kisaran, 21216, Indonesia.
Published: November 2019

Most cocoa plantations have undergone changes and sustained damage due to climate change. The objectives of the present study were to identify sustainable cocoa farming strategies in the effort to overcome climate change effects in regencies; and to analyze sustainable business strategies in overcoming the effects of climate change; This study was conducted from June to August 2018 in Luwu and North Luwu Regencies, South Sulawesi Province. Data collection was carried out through interviews with 282 farmers and interviews conducted on five key informants. Descriptive statistical analysis was conducted in the form of a frequency distribution table using Excel program and SPSS version 24. Model implementation strategies in overcoming climate change effects were designed based on the SEM PLS 2. The results revealed that the effort to overcome climate change effects in the development of the cocoa agribusiness and the farmers’ social relationships were high, while preservation of environmental conditions was in the low category. Conclusion : Sustainable cocoa farming strategies in the effort to overcome climate change effects consisted of adaptation climate accompaniment extension strategies, increasing government support strategies, and farmer character improvement strategies in overcoming climate change effects.
The Innovative Trends in Architecture and Urban Planning of Health Care Institutions
Authors:   PhD of Architecture, Associate Professor, Department of Design architectural environment, Kyiv National University of Construction and Architecture, Kyiv, Ukraine., Bulakh* Irina , Didichenko Margaryta ,   MA Architecture, Assistant, Department of Design architectural environment, Kyiv National University of Construction and Architecture, Kyiv, Ukraine., Kozakova Olena ,   PhD of Architecture, Associate Professor, Department of information technologies in architecture, Kyiv National University of Construction and Architecture, Kyiv, Ukraine.
Published: November 2019

The article depicts and systematizes innovative global trends in the field of architecture and urban planning of healthcare institutions taking as the example leading countries in the field of healthcare (Hong Kong, Singapore, and the United Arab Emirates). The territorial, administrative and demographic features that significantly affect the formation and functioning of the architecture and urban planning network of medical institutions are analyzed. The features, indicators, and structure of the public and private sectors of the medical organization of the listed countries are examined in detail. The main innovative trends in the architecture and urban planning of the healthcare network that put the considered countries on the top of the world leaders in the efficiency of healthcare organization rapidly are identified. The trends are considered in urban planning, architecture, medical, economic, environmental, technological and innovative aspects.
Object Detection Method Based on YOLOv3 using Deep Learning Networks
Authors:   Department of Computer Science and Engineering, RM Institute of Science and Technology, Chennai, India., Vidyavani* A. , Dheeraj K. ,   Department of Computer Science and Engineering, RM Institute of Science and Technology, Chennai, India., Reddy M. Rama Mohan ,   Department of Computer Science and Engineering, RM Institute of Science and Technology, Chennai, India., Kumar KH. Naveen ,   Department of Computer Science and Engineering, RM Institute of Science and Technology, Chennai, India.
Published: November 2019

Object Detection is being widely used in the industry right now. It is the method of detection and shaping real-world objects. Even though there exist many detection methods, the accuracy, rapidity, and efficiency of detection are not good enough. So, this paper demonstrates real-time detection using the YOLOv3 algorithm by deep learning techniques. It first makes expectations crosswise over 3 unique scales. The identification layer is utilized to make recognition at highlight maps of three distinct sizes, having strides 32, 16, 8 individually. This implies, with partner contribution of 416 x 416, we will in general form location on scales 13 x 13, 26 x 26 and 52x 52. Meanwhile, it also makes use of strategic relapse to anticipate the jumping box article score, the paired cross-entropy misfortune is utilized to foresee the classes that the bounding box may contain, the certainty is determined and afterward the forecast. It results in perform multi-label classification for objects detected in images, the average preciseness for tiny objects improved, it's higher than quicker RCNN. MAP increased significantly. As MAP increased localization errors decreased.
Classification of Diabetic Retinopathy Features using Bag of Feature Model
Authors:   Department of Electronics and Communication Engineering, NSS College of Engineering, Palakkad, Kerala, India and Research Scholar, University of Calicut, Kerala, India., K.R* Anil Kumar , K.I Noushira ,   PG Scholar, Department of Electronics and Communication Engineering, NSS College of Engineering, Palakkad, Kerala, India., K Meenakshy ,   Department of Electrical and Electronics Engineering, Government Engineering College, Thrissur, Kerala, India..
Published: November 2019

Deep learning (DL) as well as feature learning by unsupervised methods have made tremendous consideration in the past decades because of its great and dynamic capacity to change input data into high level depictions by means of various machine learning (ML) methods and approaches. Therefore these interests have also showed a fast and steady growth in the arena of medical image analysis, especially in Diabetic Retinopathy (DR) classification. On contradiction, manual interpretation involves excessive processing time, large amount of expertise and work. Sternness of the DR is analyzed relative to the existence of Microaneurysms (MAs), Exudates (EXs) and Hemorrhages(HEs). Spotting of DR in its early stage is crucial and important to avoid blindness. This paper proposes an algorithm to build an automated system to extract the above mentioned DR features which are the elemental and initial signs of diabetic retinopathy. Initial step in this algorithm is preprocessing of the original image. The next step in this features extraction algorithms is elimination of optic disc (OD) and blood vessels which have similar characteristic with these features. Blood vessels are segmented using Multi-Level Adaptive Thresholding. OD is segmented using morphological operations. Feature extraction and classification is achieved by using deep Bag of Feature (BoF) model which uses Speeded Up Robust Features Our method achieved 100% acuuracy in DRIVE database and over 90% accuracy for e-OPTHA database. Thus, the proposed methodology represents a track towards precise and highly automated DR diagnosis on a large substantial scale along with better sensitivity and specificity.
New Design of An Intelligent, Secure and Dependable Garage system.
Authors:   Associate Professor, Department of Electrical Engineering, College of Engineering, Taif University,, Alahmadi* Ahmad A.
Published: November 2019

This work introduces the design and development plan of a reliable, smart, secure, automation solution, applying modern design methodology, for solving real-life problems faced by many residents and related to the process of car parking inside a home garage, as well as, security and economy issues. The suggested solution is intended for achieving comfort, security and economy as a part of home automation. The solution consists of two main subsystems; security identification subsystem and the automated garage subsystem. The security identification subsystem is suggested to be placed inside the car on front tableau. The two subsystems are communicating with each other wirelessly, the whole automated garage system are activated from sleep mode and waiting for further actions, when a vehicle or a human is detected in the front of the gate by means of two sensors, or when identification signal is send from security identification subsystem. For maximum reliability and depending on customer needs, the security subsystem is designed to identify the residents, to have a permission to enter the garage by matching all of the following; face image, fingerprint, voice print, written password, specified oral password word, specially designed remote control board or radio frequency identification (RFID) card along with a alarm features. When the residents identified, the garage subsystem is activated in terms of controlling the garage gate open/close process and controlling electrical components including lighting, ventilation and surveillance camera. Each of the two subsystems, as well as overall system, was physically prototyped, tested in real situation successfully.
The Influence of Deep Cryogenic Treatment (DCT) on the Mechanical Behaviour of Aluminium Metal Matrix Composites
Authors:   Research Scholar, Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore - 641021, India, Venkatesh D. Prasanna , Shanmughasundaram* Dr. P. ,   Department of Automobile Engineering, Karpagam University, Coimbatore (Tamil Nadu), India.
Published: November 2019

The outcome of cryogenic treatment (CTT) on the mechanical behaviour of Al alloy LM 25, LM25+5% fly ash and LM25+10%fly ash composites was investigated. Cryogenic treatments were performed with threedifferent soaking periods (0 hr (Untreated), 12hr, 24hr) ata constant cryogenic temperature of -196°C. After the CTT, the mechanical behaviour of the materials was measured. It is obvious that LM25+10% fly ash composites exhibitbetter mechanical properties than the LM25 and LM25+10% fly ash composites.As cryogenic soaking period increases mechanical properties of the MMCs tend to increase too. The effect of fly ash mass percentage and cryogenic soaking period on the mechanical behaviour of materials was studied by using Taguchi and Analysis of Variance (ANOVA).
Grid Based Clustering with Intrusion Detection System to Extend Network Lifetime in Mobile ADHOC Network
Authors:   Department of Computer Science, Sri Ramakrishna College of Arts & Science, Coimbatore, India., Suthishni* D.Nethra Pingala , Vijendran Anna Saro ,   Department of Computer Science, Sri Ramakrishna College of Arts & Science, Coimbatore, India.
Published: November 2019

The key determination of researches on cluster-based Mobile Ad-hoc Networks (MANETs) and the election of consistent energy holding Cluster Head (CH) is to improve the lifetime of the network. Both in real-time as well as non-real-time basis data are collected and spread accordingly. Energy efficiency is said to be the major concern in MANET. Every node in the network supplied with preferred node energy and it will get exhausted whenever node transmits the data. When node runs out of energy transmission may be failed. In order to avoid transmission failure, energy-efficient methods are incorporated in data transmission. In this paper, a clustering method is proposed which is grounded by the Grid-based model. Static sinks in the MANET transmit the data to the transmission area which is distant to the destination that may lead to the energy-hole problem. Hence, an efficient approach is proposed wherein a centralized cluster configuration by the mobile sink is used for Grid-Based Clustering (GBC) and Verification algorithm to achieve improved energy balance to thereby extending network lifetime in the network. The simulation results depict that the GBC and Verification method can effectively increase the network lifetime and energy dissipation.
Additional Series Positive Output Superlift LUO Converter using Particle Swarm Optimization
Authors:   Department of EEE, Faculty of Engineering & Technology Manav Rachna International institute of Research & Studies, Faridabad , India., Khera* Richa , Khosla Anita ,   Department of EEE, Faculty of Engineering & Technology Manav Rachna International institute of Research & Studies, Faridabad, Joshi Dheeraj ,   Department of EEE, Delhi Technological University, Delhi , India.
Published: November 2019

Due to the advancement in the semiconductor technology DC-DC converters are gaining the importance in several industrial applications. They form the core of the switched mode power supplies used in real time applications. But the conventional DC -DC converter contains the voltage ripples due to the effect of the parasitic elements which is undesirable. The derived topologies of DC –DC converters from the conventional pumps eradicates this effect. In this paper the superlift LUO DC-DC converter will be presented which can replace the conventional converters. The effect of the parasitic elements is eradicated in superlift converter and range of the boosting the voltage level is high which will reduce the charging time and can be applicable for charging of o electric vehicles. The optimized proportional and integral controller using particle swarm optimization is applied to the presented converters.
Development of Monohull Fish Processing Vessel Hullform to Support Domestic Fishing Activities in Indonesia
Authors:   Naval Architecture Department, Diponegoro University, Semarang, Indonesia., Zakki* Dr. Ahmad Fauzan , Windyandari Aulia ,   Industrial Technology Department, Diponegoro University, Semarang, Indonesia., Chrismianto Dr. Deddy ,   Naval Architecture Department, Diponegoro University, Semarang, Indonesia., Habib Iqbal ,   Naval Architecture Department, Diponegoro University, Semarang, Indonesia.
Published: November 2019

This research is focused on the development of the design and prototype of monohull fish processing vessel hullform to support fishing activities such as catching fish, collecting fish from the smaller boats and processing fish catches. The extensive on-board facilities in the fish processing vessel are maintaining the freshness of the catch and improving the quality of catch fish than traditional fishing boat. The initial stage of this study is determining the principal dimension and exploring of the configurations of monohull hull forms. Furthermore, the investigation of resistance characteristics, intact stability and seakeeping behavior was carried out using strip theory and computational fluid dynamic methods. Regarding the performance of the hulls resistance, the analysis indicates that the hull form with smaller block coefficients showed better resistance characteristics. In the case of intact stability, the results of the analysis showed that the model 2 of monohull hull form showed better intact stability characteristics compared to the other models.
An GPS Based Online Blood Bank Management using Database Management System
Authors:   Assistant Professor (S.G)/ CSE Education - M.Tech. Information Technology Area – Deep Learning, R* Angeline , Mishra Rudra Dev ,   Pursuing Computer Science And Engineering Srm Institue of Science And Technology Member of Lema Labs Community, Gopalakrishnan Lingaraj ,   Pursuing Computer Science And Engineering Srm Institue of Science And Technology Member of Computer Society of India., B Saravanan ,   Pursuing Computer Science And Engineering Srm Institue of Science And Technology Member of Computer Society of India
Published: November 2019

Blood is one of the main components of our body helping in some of the major functions and its presence in right quantity is very important for proper functioning. Therefore, blood need is going increasingly and in great demand because of so increase in the numbers of accidents, surgery or diseases where blood production is very less resulting in loss of blood from the victim’s body. So, it is becoming a great need to propose a system which is very much efficient and time friendly and currently proposed system of online blood donation system is not much efficient and non-real time service. We have introduced our system where hospitals can directly contact the persons who have registered themselves having blood type same as required within their local area or person can donate blood himself to the nearest blood banks and his blood type updated in along with the total quantity of blood of different types available in the different blood banks. The time requirement of the blood by the needed has been improved effectively in our system.
Effectiveness of Capital Structure on Profitability- IT Companies Perspective
Authors:   Research Scholar (Part-Time), Yogi Vemana University, YSR Kadapa-516005., Mazeed* Shaik Abdul , Rani Dr. P. Sai ,   Professor and Head of the Department – Finance, ICBM – SBE, Hyderabad, Raveendranath R. ,   Associate Professor, Dr. K V Subba Reddy School of Business Management, Kurnool, Divya P. ,   Assistant Professor, TKR Institute of Management and Science, Hyderabad, Sudharani Telugu ,   Assistant Professor, Dr. K V Subba Reddy School of Business Management, Kurnool
Published: November 2019

Every company needs money or capital not only for its establishment but also for day to day operations. In order to acquire the money or capital a company will have its own variety sources that can be elucidated by capital structure. There are two ways or sources for financing a firm i.e. debt finance and equity finance also known as debt and equity capital. Debt Capital comes from bonds, debentures, long term notes payable etc. whereas equity capital comes from stock/shares may be equity or preference, retained earnings etc. Working capital is also a part of capital structure. Each category has its own pros and cons. Decisions related to finance is the integral element of any company. In this connection, the finance manager plays a vital role in arriving at a decision. He is always in dilemma that which proportion of capital leads to optimum utilization of funds. The widely accepted solution is a combination of equity capital and debt capital. Generally capital structure is formulated as per the interest of equity share holders. Hence rather than collecting funds totally from share holders, it is better to have a long term loan also, even though it is an expense to the company, this method is followed by many companies. This research paper primarily focuses on effectiveness of capital structure on profitability of Information Technology (IT) firms in India.
Development of Systematic Methods for Managing Socio-Economic
Authors:   Stavropol Institute of Cooperation (branch) of Belgorod University of Cooperation, Economics & Law, Stavropol, Russia., Glaz* Viktor , Glaz Yuliya ,   Stavropol Institute of Cooperation (branch) of Belgorod University of Cooperation, Economics & Law, Stavropol, Russia., Zbritskiy Aleksander ,   National Research University, Higher school of Economics, Moscow, Russia., Ivchik Tatiana ,   National Research University, Higher school of Economics, Moscow, Russia., Tolmachev Alexey ,   Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia.
Published: November 2019

This article presents the results of the development of scientifically based mechanisms for the adaptation of Russian organizations to the conditions of the global market economy. The basis for this was the study of the management system, its organizational structures, mechanisms that ensure a balanced management system and meet modern market requirements. In this regard, one of the important factors, or rather, one of the fundamental conditions, is the formation of a qualitatively new mobile management system that adequately responds to external and internal changes, forming new forms of managerial decisions and well-reasoned plans for their implementation..
Migration from Traditional Village to Group Settlement Area: AN Analysis of Felda Experience
Authors:   Pusat Citra, Universiti Kebangsaan Malaysia, Malaysia., Mohamad* Zulkifli , Citra Nazri Muslim Pusat ,   Universiti Kebangsaan Malaysia, Malaysia., Hassan Wan Zulkifli Wan ,   Pusat Citra, Universiti Kebangsaan Malaysia, Malaysia., Umar Azizi ,   Pusat Citra, Universiti Kebangsaan Malaysia, Malaysia., Mamat Maharam ,   Pusat Citra, Universiti Kebangsaan Malaysia, Malaysia.
Published: November 2019

At the time the country gained independence, most Malays were still living in traditional village and in poverty. In order to overcome this problem, the government had introduced a form of well-planned migration. This migration was established with specific goals such as offering land to people without one, eradicating poverty, eliminating communist’s hide-outs and boosting country’s economic growth. By allocating some amount of fund, the government cleared-up forest land and provided basic facilities such as houses, roads, worshipping places and schools. This well-planned migration was top-down, locating only qualified migrants through process of interview. In order for this migration to be successful, the government introduced the motto best land for the best people. The first settlement of this agricultural migration is in Lurah Bilut, Bentong Pahang. A total of 616 migrants of all races and religions, from all over the country were located in FELDA of Lurah Bilut. The programme was then expanded to the whole country following its success. After 50 years of operation, there are now 317 settlements, dwelt by 112,653 families. FELDA agricultural migration programme is the only well-planned and most successful in the world. Currently, in average, participants of settlement enjoy higher standard of living than before, whereas their children benefit from highest education standard.
Disquisition of Sentiment Inquiry with Hashing and Counting Vectorizer using Machine Learning Classification
Authors:   Research Scholar, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Rao* Kota Venkateswara , Devi M. Shyamala ,   Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India.
Published: November 2019

With the rapid growth in technology, analysis of feedback and reviews by the customers in companies and industries becomes a major challenge. The profit of the company mainly depends on the customer satisfaction. The view of the customer can be analyzed only through feedback. The review analysis can be utilized for the prediction of current sales and future sales of the company. With this overview, the paper aims in performing the sentiment analysis of the movie review. The Type of comment given by the customer is predicted and categorized into classes. The sentiment Analysis on movie Review dataset taken from the KAGGLE leading Dataset repository is used for implementation. The categorization of sentiment classes is achieved in five categories. Firstly, the target count for each sentiment is portrayed. The Resampling is done for equalizing the target sentiment count. Secondly, the extraction of sentiment feature words for each target is displayed and the data cleaning is done with Term Frequency Inverse document Frequency method. Thirdly, the resampled dataset is then fitted with the various classifiers like Multinomial Naives Bayes Classifier, Logistic Regression Classifier, KNearest Neighbors Classifier, Bernoulli Naives Bayes Classifier, Complement Naives Bayes Classifier, Nearest Centroid Classifer, Passive Aggressive Classifier, SGD Classifier, Ridge Classifier, Perceptron Classifier. Fourth, the feature extraction is done with Hashing Vectorizer and Counting Vectorizer. The vocabulary features are also displayed from the dataset. Fifth, the Performance analysis of clasifier is done with metrics like Accuracy, Recall, FScore and Precision. The implementation is carried out using python code in Spyder Anaconda Navigator IP Console. Experimental results shows that the sentiment prediction and classification done by Ridge classifier is found to be effective with Precision of 0.89, Recall of 0.88, FScore of 0.87 and Accuracy of 89%.
Extended Distributed Suboptimal Channel Assignment Algorithm Based Channel Assignment for Wireless Local Area Networks in a Multi Agent Environment
Authors:   Research Scholar, Vels University, Chennai, Tamilnadu, India., Sunitha* P. , Shunmuganathan Dr. K.L. ,   Principal, Aarupadai Veedu Institute of Technology, Chennai, Tamilnadu, India.
Published: November 2019

Due to the universal use of IEEE 802.11 – based networks, the systematic positioned of Wireless Local Area Networks (WLANs) come to be a Challenge. With the intense admiration and stationed of WLANs, well organized administration of wireless bandwidth is elegantly a major progressive. The advanced techniques upgrade the utilization of wireless bandwidth in the factors of wireless local area networks (WLANs) employing advanced channel allocation techniques between Interfering Access Points (Aps). This work formalizes the channel assignment as a multiagent hampering optimization problem in a multi agent environment and intend a latest collective medium assignment procedure called Extended Distributed Suboptimal Channel Assignment (EDSCA), which utilizes Distributed Pseudo tree optimization (DPOP).
Modeling and Simulation of Two-Dimensional Position Sensitive Detector (PSD) Sensor
Authors:   PG Scholar, Department of ECE, VelTech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India., Dwik* Shaher , Somasundaram Natarajan ,   Department of ECE, VelTech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India.
Published: November 2019

This paper presents Modeling and Simulation of Two-Dimensional Position Sensitive Detector (PSD) using MATLAB. PSD is an Optical Position Sensor (OPS) that can measure a position of a radiation spot in one or two-dimensions on a sensor surface. Unlike discrete elements such as Charge-Coupled Device (CCD), it provides continuous position data, features high position resolution and high-speed response which give this paper its importance. The sensor used consists of two-dimensional array of photodiodes. The sensor has four output photocurrents that change according to the position of incident radiation on the surface. The work is divided into three parts of Modeling and Simulation; the first part is a single photodiode, Second part is one-dimensional array of photodiodes and the third one is two-dimensional array of photodiodes. The tool used to do the simulation is MATLAB software because it is professional and accurate tool, it has photodiode element and it is possible to control the beam of incident light. This research can be useful for Acquisition; Pointing and Tracking (APT) systems where this sensor will give the necessary data to do tracking operation. Proteus software was also been used as a secondary tool.
Mechanical Behaviour of Palm Fiber (Palmyra Spout) – Basalt Fiber - Hybrid Composites
Authors:   Faculty-Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, India., Prabu* D. , Giriprasath A. ,   Sri Manakula Vinayagar Engineering College, Puducherry, India., Prasanna V. ,   UG Student- Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, India., Mohanakrishnan G. ,   UG Student- Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, India., Viknesh S. ,   UG Student- Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, India.
Published: November 2019

In general the natural fibers are taken out from the sources of animals and plants. In recent days the natural fibers play an important role in engineering applications like automotive, aerospace and marine industries due to abundant availability, less in cost and zero percentage environment harmless in nature. In this paper the investigation of various mechanical properties of hybrid reinforced composite (Palm fiber Basalt S-glass fiber) is been done on the fabricated samples. The different mechanical property includes tensile, hardness and impact tests etc... The fabrication comprises three layers of Palm and Basalt fibers outer laminated by two layers of S-glass fibers using injection molding method. From the various testing and investigation against the test sample it is been concluded that the fibers in the hybrid set took a major role in determining the important mechanical properties. Thus the fibers present in the hybrid composite increases the strength, stiffness and weight ratio of the composite materials. The various forms and structural analysis of the hybrid composite material are processed by using scanning electron microscope for attaining the better results and application basis.
Influence of Self-Heating Effect on I-V Dates of Party Depleted Submicron Silicon-on-Insulator CMOS Transistors at High Ambient Temperatures
Authors:   Leader Researcher of Federal State Institution “Federal Scientific Center Research Institute of System Researches”, Moscow, Russian,, Masalsky* Nikolae V.
Published: November 2019

To solve the problems of high temperature microelectronics the influence of the self heating effect on the I-V dates partially depleted submicron silicon–on-insulator CMOS transistor in the ambient temperature range from 525 K to 650 K is discussed. Approach consists in combination of experimental data and of computational simulating results. For simulation of electrothermal characteristics of SOI CMOS transistor is considered three-layered structure. Temperature distribution is calculated numerically using iterative algorithm in conjunction with software COMSOL Multiphysics. I-V dates of SOI CMOS transistors are calculated by means of two-dimensional models for n-and p-channel transistors of Sentaurus TCAD developed in the system of instrument and technological modelling. TCAD models are calibrated on experimental characteristics for 525 K. It is shown that with growth of ambient temperature the self-heating mechanism contribution consistently decreases. By results of modeling it is established that self-heating contributions at supply voltages 5.5 V to decreases for n-transistor in 2.8 times, p-transistor in 2.2 times. The relative decline of current n-type transistor for reduced from 11.6% to 5.5% and for p-type with 15% to 9%. However, different dynamics of current recession for n-and p-transistors is significant for analog applications that need to be considered at high-temperature circuit design. The proposed methodology allows to critically assess the contribution of the self-heating mechanism on the I-V dates for a wide range of high temperatures and supply voltages. Underestimating this fact leads to unreasonable values for the maximum temperature and limit of thermal stability for the separate SOI CMOS transistor. In total this can be a prerequisite for a significant simplification of the design of not only the chip construction but also the whole electronic Board.
Development of Compact UWB Antenna for Wireless Communication
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, Vidyavardhaka College of Engineering, Mysuru, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., Kumar A J* Sharath , Surekha Dr. T P ,   Professor, Department of Electronics and Communication Engineering, Vidyavardhaka College of Engineering, Mysuru, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India.
Published: November 2019

n the following article a spline based ultrawideband (UWB) antenna is described. The antenna has a small size of 25mm x 25mm x 1mm and operates in the frequency range 3.1GHz-13GHz. Reduction in size of the antenna is achieved by 63%. The performances are illustrated using ANSYS HFSS capability to analyse the antenna system. The antennas are manufactured and tested. The findings obtained are in consistent with the simulations.