bluuebunny/crossref_metadata_2025 huggingface dataset:
Sociologic Factors and Social Structure in Preparation of Tax Acts and The Assessment of Personal Income Tax in Terms Of Suitability to Social Structure
Authors: AK Ahmet
Published: August 2019

Social state law has a need to regular fiscal source to maintain its sovereignty and to fulfill the duties the Constitution levies. Fort his reason, use of taxation power is a political obligation. The regulations related to tax concerns the whole society. Tax acts has a lot of features not included in other many acts. The most important one of these is that tax acts have to show a suitable change to the economic life altering constantly. In every society, if the rules found or created are not suitable to expectations, necessities and conditions of a society in a specified time period, the society makes them out of order eventually whatever compeller power of them is inflexible and decisive. While acts are prepared, it is compulsory to determine the real needs by observing the society studiously. Because tax acts have to be especially suitable to the fundamentals of moral and personal interest. In legislating, changing or annulment of tax acts, it has to be cared social structure, market conditions, and suitability to menatlity and beliefs of the society rather than concrete or abstract reasons. Otherwise, even force or sanctions becomes insufficient in obeying the law. In this study, it is aimed to search what sociologic factors are in legislation of acts and suitability of tax acts to social structure as is in other acts and to reveal tax acts by considering the regulations related to Turkish Personal Income Tax Act and literature review method is used as research method
The Scarcity of Resources and Unlimited Wants: How We Fulfill Unlimited Wants by Limited Resources
Authors: Barnett Sienna
Published: August 2019

Lack of human life is infinite. But our resources are limited to meet this shortfall. People feel lacking in their lives after lacking. If he meets a need to give up hope of another one. Only resources can be used properly to combine between infinite deficiencies and limited resources. If we cannot use resources properly then our deficiency or needs cannot be met. Due to lack of resources, due to lack of proper resources or lack of resources, selection is the most important. The problem of infinite loss and lack of resources is possible only when people can choose from the most essential shortcomings from their limitless lack. And in the shortage of resources, it will be able to create consistency in meeting the needs. According to R.G Lipsey, “One of the basic problems encountered in most aspects of economics is the problem of scarcity”. Therefore, the lack of economics and selection of the products and production of essential commodities are a major problem. Thus, production possibility curve rises.
Marginal Cost & its Variation in Different Economy Scales
Authors: Souza Araujo Antônio
Published: August 2019

In economics, marginal cost is the change in the total cost that arises when the quantity produced is incremented by one unit; that is, it is the cost of producing one more unit of a good. Intuitively, marginal cost at each level of production includes the cost of any additional inputs required to produce the next unit. At each level of production and time period being considered, marginal costs include all costs that vary with the level of production, whereas other costs that do not vary with production are fixed and thus have no marginal cost. For example, the marginal cost of producing an automobile will generally include the costs of labor and parts needed for the additional automobile and not the fixed costs of the factory that have already been incurred. In practice, marginal analysis is segregated into short and long-run cases, so that, over the long run, all costs (including fixed costs) become marginal.
Brain Tumour Segmentation Based on SFCM using Back Propagation Neural Network
Authors:   PG Scholar*, Department of Electrical and Electronics Engineering Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai, P Swetha , S Mohanram ,   Assistant Professor, Department of Electrical and Electronics Engineering Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai
Published: August 2019

Magnetic Resonance image (MRI) is predominant in clinical application. MRI used in diagnostic and therapeutic applications and it is pain free treatment. Blur boundaries in high resolution medical resonance image, the tumour segmentation and classification is very hard. In identification method brain tumour is used to upgrade the accuracy and reduce the analysis time. The tumour tissues classified into four they are normal, begin, premalignant and malignant. In MR images, the amount of data is high to explain and analysis. In current years, segmentation of tumour in magnetic resonance image has essential in research field of clinical imaging. Exact shape, size and location of tumour can diagnose. The diagnostic method contain four stages, pre-processing, feature extraction, classification and segmentation.
Sentiment Analysis for Tweets using Patterns and Strategies to Detect the Genuineness of Tweets.
Authors:   Computer Engineering Department, K. J.College of Engineering & Management, Savitribai Phule Pune University, Pune, India, Kulkarni Deepti , Bogiri Nagaraju ,   Computer Engineering Department, K. J.College of Engineering & Management, Savitribai Phule Pune University, Pune, India.
Published: August 2019

Sentiment analysis related with distinguishing and classifying opinions or sentiments expressed in given text. Social media is completing a colossal quality of wealthy knowledge within the type of tweets, standing updates, diary posts etc. Sentiment analysis of this user generated knowledge is incredibly helpful in knowing the opinion of the gang. Twitter sentiment analysis is troublesome compared to general sentiment analysis thanks to the presence of slang words and misspellings. Knowledge base approach and Machine learning approach square measure the 2 methods used for analyzing sentiments from the text. Public and private opinion a few wide range of subjects’ square measure expressed and unfold frequently via numerous social media. Twitter offers organizations quick and effective thanks to analyze customers' view toward the crucial to success within the market place. Developing a program for sentiment analysis is an approach to be accustomed computationally live customers' perceptions. This project cognitive content together with varied patterns for tweets along a side multiple strategies to discover the sentiment class expressed in a very tweet and if a tweet is real or not. We proposed work to classify sentiments of tweets from people to determine if people are happy, sad, angry, etc. about particular topic. Also the purpose of the work is to check genuineness of tweets so that rumors about any topics can be detected and mitigated. This approach can be used in various fields further as like detecting people sentiment about particular social issues. Also fake tweets and rumors which may further exploit to social issues like riots, religion complexities can be removed. To achieve these goals and fetch tweets we used Twit4j API and various techniques such as NLP, TF-IDF, and Sentiment Classifications are applied to get results accordingly. We had maintained our own database of words for dictionary purpose as well as have been used OpenApache NLP with their predefined dictionaries.
Performance Evaluation of Several Machine Learning Techniques Used in the Diagnosis of Mammograms
Authors:   Department of Computer Science & Information Technology, S ’O’ A Deemed to be University, Bhubaneswar, India., Tripathy Sushreeta
Published: August 2019

Throughout the world breast cancer has become a common disease among the women and it is also a life threatening diseases. Machine learning(ML) approach has been widely used for the diagnosis of benign and malignant masses in the mammogram. In this manuscript, I have represented the theoretical research and practical advances on various machine learning techniques the diagnosis of benign and malignant masses in the mammogram. The objective of this manuscript is to analyze the performance of distinct machine learning techniques used in the diagnosis of the Digital Mammography Image Analysis Society (MIAS) database. In this work I have compared performance of four machine learning approaches i.e. Support Vector, Naive Bayes, K-Nearest Neighbours and Multilayer Perceptron. The above four types of machine learning algorithm are used to categorize mammograms image. The achievements of these four techniques were recognized to discover the most acceptable classifier. On the end of the examine, derived outcomes indicates that support vector is a successful approach compares to other approach.
Optimization of Surface Roughness of Turned Nano-Khorasan Based Madar Fiber Composites Using Response Surface Methodology
Authors:   Department of Mechanical Engineering, V R Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India., Babu G Dilli , Babu B Jagadish ,   Department of Mechanical Engineering, V R Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India., Babu K Sivaji ,   Department of Mechanical Engineering, P V P Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India.
Published: August 2019

Now a day Nano based Natural Fiber Reinforced Polymer (NFRP) composite is important alternative material to conventional materials because of its superior characteristics. In general composite products are manufactured nearer to the required shape, but secondary operations like machining is necessary to obtain the required surface finish. Machining of NFRP composites is different than the machining of traditional materials. This paper focuses on the behavior and optimization of machining parameters on turning of Nano-Khorasan based madar fiber reinforced composites by using Response Surface Methodology (RSM) technique. The input factors studied are speed, feed, depth of cut and Nano-Khorasan mixing. The investigated output response was Average Surface Roughness (Ra). A Box- Behnken approach was employed to evaluate the optimum parameters to attain the minimum Ra. Based on this approach, a second order polynomial modal equation was generated for predicting response Ra. Also the relative effect of parameters on response Ra was studied by using ANOVA. The experimental result shows some interesting factors in context to the turning of Nano Khorasan based Madarfiber reinforced polymer composites.
Thermal Effects of Steam Pipe used in Activated Carbon Industry under Conditional Circumstances
Authors:   Assistant Professor, Department of Mechanical Engineering, Karpagam Institute of Technology, Coimbatore, Tamil Nadu, India., S.N Vijayan. , P Deepak. ,   Assistant Professor, Department of Naval Architecture and Offshore Engineering, VISTAS, Pallavaram, Chennai, Tamil Nadu, India., G.K Duraimurugan. ,   Assistant Professor, Department of Naval Architecture and Off shore Engineering, VISTAS, Pallavaram, Chennai, Tamil Nadu, India.
Published: August 2019

High pressure and high temperature steam is used to activate the material contained in the activated zone of rotary kiln generally used in the cement manufacturing industry, activated carbon manufacturing industry, thermal processing industries. In this work, thermal stress behaviour of steam pipe with a zigzag hole is analyzed, which is used in the activated carbon industry where charcoal is used as a raw material. Steam is the most important factor for continuous activation process and must be uniformly distributed in the activated zone. Investigated the fracture produced in the heat affected region during the continuous process using ANSYS tool, also found the deformation, equivalent stress and temperature distribution for two types of pipes.
Behaviour of a New Concrete Composition with Jaggery as Admixture
Authors:   Professor, K.S.R.M College of Engineering, Kadapa, A.P. India., Giridhar V. , Kumar P.Rajendra ,   Asst professor, K.S.R.M college of Engineering, Kadapa, A.P. India., Reddy P.Kishore Kumar ,   Asst professor, K.S.R.M college of Engineering, Kadapa, A.P. India.
Published: August 2019

Quality of concrete is influenced by the proportion of ingredients and method of preparation in concrete production. A unique word which is used on concrete is inevitable in human life due to its properties and applications. From the ancient days lime and jiggery are used as binding materials. This review paper expressed the significance of jaggery on strength behavior of a new concrete composition. Experimentation carried out for determining strength properties of a new concrete for M20 grade nominal concrete using jaggery as admixture. Based on previous study, jaggery is an unrefined sugar product and it is easily available market; the main function of jaggery is to increase the initial setting time of concrete and it also influencing the properties of concrete. Preferably this type of admixture is used in different construction sites like deep foundations, piers and long piles. Four different percentages of admixture was chosen into the experimentation at 0, 0.25, 0.50 and 0.75% by weight of cement, finally it is accomplished that the workability of concrete is being superior with jiggery as admixture but flexural strength and shear strength of this new concrete decreased as compared with convectional M20 concrete.
Social Spider Optimization Algorithm: Theory and its Applications
Authors:   Department of Information Science and Engineering, Ramaiah Institute of Technology, Bangalore, Karnataka, India, Evangeline D. , Abirami Dr.T. ,   Department of Information Technology, Kongu Engineering College , Erode, Tamil Nadu, India.
Published: August 2019

An extensive variety of optimization problems are solved by swarm intelligence algorithms that are modelled based on the animal or insect behaviour while living in groups. One such recent swarm intelligence algorithm is Social Spider Optimization (SSO). This paper thoroughly reviews and analyses the characteristics of this meta-heuristic algorithm. Since the existing literature of this algorithm is comparatively limited, the paper discusses the research ideas presented in such existing works and classifies the literature on basis of the application areas like image processing, optical flow, electric circuits, neural networks and basic sciences. It also sets a basis for research applications of the algorithm in order to tap the complete potential of the algorithm in other areas to achieve desired results.
Design and Prototype Development of Portable Trash Collector Boat for Small Stream Application
Authors:   Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300 Kuala Nerus, Terengganu, Malaysia., Abdullah S.H.Y.S. , Azizudin M.A.A Mohd ,   Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300 Kuala Nerus, Terengganu, Malaysia., Endut A. ,   Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300 Kuala Nerus, Terengganu, Malaysia.
Published: August 2019

Commercially available trash collector boats are often designed in large size to cater to the high trash loading for surface water cleaning purpose. On the other hand, for small streams and drainage, the manual cleaning method is often used. This situation is undesirable since it can lead to health problem and diseases to the operator due to the number of impurities present in the water. This paper highlights a proposed design of a trash collecting boat for cleaning purposes in small area applications such as lakes, small streams and drainage. The trash collector boat is designed to be a small and automated boat capable of collecting floating solids off the water surface and store them temporarily. The trash will be manually collected at the end of the operation. The design methodology has been accomplished using engineering design method to propose a suitable design of portable trash collector boat based on commercially available design. With the aid of Autodesk Inventor 2009, a 3D representation of the trash collector boat was generated to visualize all the details regarding the trash collector boat. System fabrication will be conducted using appropriate material to ensure the efficiency of trash collector boat. Testing and analysis were conducted to evaluate the system performance, monitoring unit performance and loading capacity of the portable trash collector boat. The results found that the collector boat is capable of handling a maximum trash load of 6 kg in a single operation.
High Performance VLSI Architecture for Braun Multiplier
Authors:   Department of ECE, Vardhaman College of Engineering, Shamshabad, Hyderabad-501 218,India., Karunakaran S. , Poonguzharselvi B. ,   Department of CSE, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad-500 075, India
Published: August 2019

The requirement for portable devices with high fidelity should consume less power . Adding two binary numbers is the basic thing in ALU Unit. Adder is an important part of the processor. The complexity of designing the multiplier and ALU changes due to the transistor count. Full adder plays a vital role in signal processing applications, Embedded systems. In the design of fundamental computation units such as multiplier should be included in future applications. Designing VLSI multipliers helps in deriving high end performance architecture which minimizes the consumed power consumption in the architecture. Generally, parallel multipliers are adopted for area optimization and processing speed. 28 T and 20 T full adders are designed which is further utilized for the implementation of Braun multiplier in virtuso schematic of Cadence software 180nm transistor size design.
Lightweight Certificate less Signcryption Scheme Based on Elliptic Curve
Authors:   Department of CSE, KLE Foundation, India, Toradmalle Dhanshree K , Muthukuru Jayabhaskar ,   Department of CSE, KLE Foundation, India, Sathyanarayana B ,   Department of Computer Science & IT, Sri Krishnadevaraya University, India
Published: August 2019

As of late, many new signcryption techniques are executed on elliptic cryptosystem (ECC) to lessen the calculation loads for devices with low computation requirements. This essential requirement has motivated the authors to present an efficient Signcryption scheme based on elliptic curve cryptography. The proposed system encompasses all the primary security parameters viz., confidentiality, authentication, integrity, unforgeability, non-repudiation and forward secrecy making the method widely accepted in several resource constrained applications.
Performance Analysis of Load Balancing Algorithms using Microsoft Windows Azure Cloud Platform
Authors:   Dept. of Computer Science, Vivekananda College, Chennai, India., Thirumurugan S. , Kumar D.Suresh ,   Research Scholar, Bharathidasan University, Trichy, India., Sankar K. ,   Dept. of Computer Science, Vivekananda College, Chennai, India.
Published: August 2019

As we are living in technology dominating era, the role of cloud computing as one of the rapidly emerging technologies is highly indispensable. This cloud computing holds load distribution concept, which is usually addressed as a challenging phenomenon, to handle multiple requests which are coming from geographically differentiated locations. There are various load balancing mechanisms exits for the effective distribution of the work load. This load balancing mechanism takes the advent of the virtualization approach on resources to optimize the utilization of the resources. In virtualization, the creation of virtual machine and mapping the same to the suitable request makes the cloud computing a prominent technology. This paper work considers various load balancing mechanisms for the allocation of resources and also shows a comparative study on them with the help of an example scenario. These load balancing algorithms are applied on applications like real-time systems and prioritized medical field related data storage system. This research work is implemented in Windows Azure Platform as Cloud Operation System under load balancing component.
Predictive Analysis of Cryptocurrencies for Developing an Interactive Cryptocurrency Chatbot using IBM Watson Assistant
Authors:   Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India, Ebenezer A.Shamila , Jebapriya S. ,   Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India, Bose B.Jefferson Raja ,   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
Published: August 2019

The main objective of this paper is to analyze the characteristics and features that affects the fluctuations of cryptocurrency prices and to develop aninteractive cryptocurrencychatbot for providing the predictive analysis of cryptocurrency prices. The chatbot is developed using IBM Watson assistant service. The predictive analytics is performed by analyzing the datasets of various cryptocurrencies and applying appropriate time series models. Time Series Forecasting is used for predicting the future values of the prices. Predictive models like ARIMA model is used for calculating the mean squared error of the fitted model. Facebook’s package prophet () which implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly and weekly seasonality are further used to predict cryptocurrency prices.
Microstructure and Hardness Characterization behavior of Al-Mg-TiB2 In-Situ Composite
Authors:   Department of Mechanical Engineering, Raghu Institute of Technology, Visakhapatnam - 531162, India., Ramki A. , Raju Dr. K. Brahma ,   Department of Mechanical Engineering, SRKR College of Engineering, Bhimavaram - 534201, India., Venkatasubbaiah Dr. K. ,   Department of Mechanical Engineering, AU College of Engineering (A), Andhra University, Visakhapatnam - 530003, India., Suresh Dr. Ch. ,   Department of Mechanical Engineering, AU College of Engineering(A), Andhra University,Visakhapatnam - 530003, India, K E Jagadish ,   Department of Mechanical Engineering, Raghu Institute of Technology, Visakhapatnam - 531162, India.
Published: August 2019

The Al-Mg-TiB2 is noteworthy modern Aluminum-based composite material due to its phenomenal mechanical properties. These composites show a solid interface between supports – grid when contrasted with other customary Aluminum composites. A blended salt course system was utilized to plan in-situ Al-Mg-TiB2 composites in the present examination. Al – xTiB2 (x = 0, 2.5, 5, 7.5 wt. percent) Metal-Matrix Composites were produced utilizing K2TiF6 and KBF4 salts utilizing an exothermic procedure at 800°C. The materials have been portrayed utilizing SEM and EDS to affirm that no Al3Ti has been created, which is the benefit of blended salt course innovation. SEM micrographs showed TiB2 particles that are conveyed homogeneously without agglomerations all through the aluminum lattice. Research has additionally been directed to examine the hardness of the amalgam strengthened with TiB2 in-situ composites. The hardness of all the created composites was higher than that of Aluminum combination framework in light of the development of TiB2 which brought about grain refining activity.
Image Segmentation on Satellite Based Image Using Advanced Watershed Method
Authors:   Department of ECE, CMR Institute of Technology, Kandlakoya, TS., Dr. Shanmugapriya
Published: August 2019

Picture division is the method toward unscrambling a portrait into numerous parts. This be regularly worn to distinguish substance or other considerable data in advanced pictures. Readily available are a wide range of approaches to perform picture division; including One of the keys in characterization is the division. Portioning a picture into districts is an issue that has numerous conceivable arrangements. Question based division has been extremely prominent as of late as a result of its remarkable capacity to isolate the adaptability and homogeneity concerning outline and shading starting its neighboring pixel cell particularly near the informational index among towering spatial inconstancy. In any case, the most basic is the decision of parameter esteems. This investigation expects to improve the division by picking suitable filtration technique and parameter esteems. Notwithstanding, to decide the execution of the division procedure, in this venture we perform assortment Fit catalogue metric utilizing ArcPy bundle. Here are 5 examination regions chose various state & scope. Grades demonstrate with the purpose of bigger territories give the most astounding precision in AFI assessment. Be that as it may, this is a differentiation to the grouping comes about which gives higher exactness towards the littler dataset.
Anti-Theft Locking For Stolen Vehicles and Canny Password Protected Access to Personalized Vehicles
Authors:   Electronics and Telecommunication, BATU University, P.V.P.I.T, Budhgaon, Sangli, India., Udagave Miss. Asmita S. , Sankpal Prof. S. S. ,   Electronics and Telecommunication, BATU University, P.V.P.I.T, Budhgaon, Sangli, India.
Published: August 2019

The concern of car thieving has exaggerated staggeringly, largely at knifepoint or automotive parks. it's essential would like of the event of a vehicle thieving alert and placement identification system for vehicle homeowners to confirm thieving interference and speedy recovery tries in things wherever a vehicle is missing, taken or driven by any unauthorized person. The thieving alert feature makes use of a trending GSM application that is developed and put in during a transportable device that is embedded within the vehicle to speak with the vehicle owner’s transportable. The communication is established via SMS. The communications established include; (i) causation associate degree SMS alert from put in GSM to vehicle owner’s transportable once the system activates. (ii)Sending associate degree SMS from the vehicle owner’s transportable to lock and unlock the vehicle. A supplementary feature of entrant detection in bolted automotive makes use of PIR device that detects wrong entry of entrant in bolted automotive and inform regarding it to owner and police
Developing Blockchain-Based System for Tracking The Origin of Chicken Products
Authors:   Ho Chi Minh City University of Transport, Vietnam., Huynh Thanh Son , Nguyen Luong Anh Tuan ,   Ho Chi Minh City University of Transport, Vietnam.
Published: August 2019

Recently, Blockchain-based solutions is being considered by many researchers. Blockchain-based solutions are applied in areas such as finance, banking, education, e-commerce, logistic, agriculture, etc. In Vietnam, many researchers and companies are also interested in applying Blockchain technology. This paper proposed a Blockchain-based system for tracking the origin of chicken products. This system includes components of Blockchain such as nodes, blocks, ledger, consensus, cryptography, transparency, etc. This system was implemented and experimented at the chicken farms, Cho Gao district, in Tien Giang province, Vietnam with many participants such as chicken farms, veterinary business agencies, wholesalers, retailers, veterinary station of Cho Gao district Tien Giang province, food hygiene and safety certification organizations, etc. Initial experimental results are very efficient and positive, a lot of farmers and stakeholders is excited to participate in the experiment.
A Link Distribution Algorithm with Efficient Relay Node Optimization for Congestion Control in Urban Vanets
Authors:   M. tech Scholar, ECE Department Shuats, Prayagraj, India., Haseeb Mantasha , Ashok A. ,   Assistant Professor, ECE Department, SHUATS, Prayagraj, India.
Published: August 2019

This research work develops a new algorithm i.e. Link distribution algorithm and efficient link distribution algorithm. A Link distribution algorithm is the distribution of the link to the nodes so that communication between the nodes takes place in case of any link failure whereas efficient link distribution algorithm is distribution of the packets to the nodes which has high transmission power. The technique used in Link distribution algorithm (LDA) is link establishment whenever there is any link failure happen we apply this concept which is LDA whereas the technique used in efficient link distribution algorithm (ELDA) is relay node selection the relay node is selected based upon the received signal strength ratio (RSSI) value and which node is having high RSSI value that node we allocate the link. The above algorithms can be applied wherever there is high congestion on the road due to the high congestion link failure will happen and due to the link failure emergency event occurs. Results of model achieved in a realistic state of affairs validate our theoretical deliberation and confirm the efficiency and the efficacy of our protocol by screening significant expansion in terms of busy ratio, collision rate, deviation, local density and transmission power compared to previous scheme ETSI DCC. The work has been successfully done with the help open source network simulator NS3.
Modified Boundary Matching algorithm for Error detection and Error Concealment for Video Communication
Authors:   Electronics & Communication Engineering Department ,Sarvajanik College of Engineering & Technology, Gujarat Technological University, Surat, India., Pathak Ketki C , Sarvaiya Jignesh N ,   Electronics Engineering Department, SardarVallabbhai National Institute of Technology(S.V.N.I.T.) , Surat, India., Darji AnandD. ,   Electronics Engineering Department, SardarVallabbhai National Institute of Technology(S.V.N.I.T.) , Surat, India.
Published: August 2019

As the demand of video transmission over communication network has grown rapidly, the data compression and error correction in video processing have shown significant improvement day by day. When the error occurs in a single frame, the visual quality of the subsequent frames gets degraded due to error propagation. Thus, the error control techniques are required for the recovery. Concealment of error at the receiver (decoder) side feats the spatial and temporal characteristics of the frame. Without the requirement of the extra bandwidth and retransmission delay, it enhances the quality of the reconstructed video. However, the output of the error concealment may get affected if the error located before is misleading. Thus error detection also plays an important role while reconstructing the video. However, the output of the error concealment may get affected if the error located before is misleading. This paper proposes error detection and concealment approach for the recovery of lost Macro Block (MB) in video. The spatio-temporal techniques has been used for the error detection followed by the MB type decision applied for classifying the damaged macro block .For the concealment method a new method i.e. Modified Spatio-Temporal Boundary Matching Algorithm (MSTBMA) has been proposed. The proposed work is compared with various existing method for spatial and temporal error concealment. The comparison has been done for various types of error such as block error (single, multiple), burst error and random error generated by the software. Performance is improves in terms of PSNR and visual quality by considering the type of lost MB.
Accelerator Design for Ethernet and HDMI IP Systems for IoT using Xilinx Vivado 18.X
Authors:   Assistant Professor, CAPGS, Biju Patnaik University of Technology, Rourkela, Odisha, India., Nanda Ipseeta , Adhikari Nibedita ,   Deputy Director Examination , Biju Patnaik University of Technology, Rourkela, Odisha, India.
Published: August 2019

Xilinx Vivado software is used for designing synthesis and implementation of accelerator. The objective of this paper is to understand the concept of intellectual property (IP), IP reuse, custom IP and IP subsystem and to design the subsystem using Xilinx Vivado is used. This paper attempts to design accelerator to make communication possible between High Definition Multimedia Interface (HDMI) and Ethernet for Internet of Things (IoT) using Xilinx Vivado 18.X [4]. The term is increasingly being also defined as objects that “talk” to each other rather in the manner of Internet of Learning Things (IoLT) based IoT to define objects with that of “realistically talk” to each other, given the rising system external & internal environmental complexity and uncertainty factors facing the objects.
Exploring the use of Water Cycle Optimization Algorithm for Foreign Exchange Prediction
Authors:   Department of Computer Science&Information Technology, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, Mohanty Arup Kumar , Mishra Debahuti ,   Department of Computer Science and Engineering, Siksha ‘O’ AnusandhanDeemed to be University, Bhubaneswar, Odisha, India
Published: August 2019

The aim of this paper is to model a network and predict the exchange price of United States Dollar to Indian Rupees using daily exchange rates from Dec 18, 1991-Jul 19, 2007. In this paper, Water Cycle Optimization (WCA) technique has been used to optimize the Artificial Neural Network (ANN) for Foreign Exchange prediction on the basis of their predictive performance. The performance metrics considered for the evaluation of the models are root mean square error (RMSE) and mean absolute error (MAE). The tabulated outcome shows the efficiency of the model over other popular models.
Design of Framework to Quantitatively Measure the ubiquity of an IT Solution
Authors:   Computer Science and Engineering Department, THE NORTHCAP University, Gurgaon, India., Mishra Anil Kumar , Gigras Yogita ,   Computer Science and Engineering Department, THE NORTHCAP University, Gurgaon, India., Singh Latika ,   School of Engineering and Technology,Ansal University, Gurgaon, India.
Published: August 2019

Ubiquitous computing is one of the most disruptive and emerging technology of present times with applications in many areas like manufacturing, healthcare, real estate etc. Design of standards and framework for these applications is an ongoing research area. To aid a better design, it is worthwhile to have a framework that can be used to quantitatively measure various features of IT solutions and products like ubiquity, security etc. The primary aim of having this framework is to assist in development of a solution or product that is properly engineered. This paper provides a novel framework which includes various metrics that measures various features of an IT application or product. The application of the framework is demonstrated by measuring the various features of two different versions of a smart home application developed by a company for luxury real estate project. Initially, the first version of the application is evaluated using the proposed framework which then helped in identifying the improvement areas which were enhanced in subsequent version of the solution. These results are presented to validate the proposed concepts and model.
The method of Project Team Formation on the Example of the Ship’s Crew
Authors:   Department of Management and Economics, Odessa Institute Private Joint-Stock Company ", Kramskyі Sergiy O. ,   Higher Educational Institution ",   Interregional Academy of Personnel Management",   ",   , Odessa, Ukraine., Zakharchenko Oleg V. ,   Department of Management and Marketing, Odessa State Academy of Civil Engineering and Architecture, Odessa, Ukraine., Darushin Aleksandr V. ,   Department of Management and Marketing, Odessa State Academy of Civil Engineering and Architecture, Odessa, Ukraine., Bileha Olena V. ,   Department of Management and Marketing, Odessa State Academy of Civil Engineering and Architecture, Odessa, Ukraine., Riepnova Tetiana P. ,   General Scientific, Social and Behavioral Disciplines Department, Odessa Institute Private Joint-Stock Company "Higher Educational Institution "Interregional Academy of Personnel Management"", Odessa, Ukraine.
Published: August 2019

This article analyzes the existing terminological and methodological personnel management apparatus and as a result, it turned out that the application of the project-oriented management approach leads to the conclusion and indicates that the employment agreement (contract) for the voyage, the ship's crew are all signs of the project, and the project team. It should be noted that shipping companies are management oriented organizations through projects. Despite the absolutely correct conclusion that the minimum crew should be determined on the basis of the conditions for ensuring the safe operation of all ship systems and mechanisms. Specific techniques and methods for calculating the required number of crew not previously represented. The project-oriented context of modern project management in a turbulent environment and the need for appropriate transformations of infrastructure and industry, including the sea. The management activities take into account the individual characteristics of the project team members, due to socio-cultural influences. The project management methodology and team format of the project activity considers human resource management processes in conjunction with other areas of knowledge that should be integrated into processes such as content management, timing, cost, quality, risk, supply, communications. Therefore, it seems quite logical for the authors to refer to “the processes of formation and management of human resources in project teams” on the example of the ship’s crew.
Performance Analysis of Big data Classification Techniques on Diabetes Prediction
Authors:   M.Phil Scholar, Department of Computer Science, Dr. Umayal Ramanathan College For Women , Karaikudi., Pandeeswary P. , Janaki Dr.M. ,   Associate Proffessor, Department of Computer Science, Dr. Umayal Ramanathan College for Women, Karaikudi.
Published: August 2019

Big data is extremely huge data sets analyzed computationally to expose patterns, trends, and prediction in order to make simpler the decision making. Predicting diseases became very important, it can be obtained with a large dataset using classification techniques. Various big data analytics tools are available for classification. Classification is the general technique used in the medical analysis for data prediction. In these paper classification algorithms like Support vector machine, Naïve Bayesian and C4.5 are discussed. The Pima Indian Diabetes Database (PIDD) is used in the analysis of the Classification algorithms to sort out and classify the people with diabetes positive and with diabetes negative it is openly accessible machine learning database found at UCI. The objective is to find the best suitable technique for prediction. Here, we used the comparison method with the results of three supervised learning algorithms based on three criteria, computation time taken, accuracy rate and error rate using the Tanagra tool. The classification algorithms are used to predict diabetes based on the data given. Accordingly, many classification techniques are there, from this study a few classification techniques suggested to be used in big data analysis, which has the probability to significantly progress the prediction. . As a result, a representative confusion matrix is displayed for making the verification process faster. From the results, it is concluded that C4.5 algorithm is best suited for predicting diabetes disease and also can be used in other disciplinary for making better prediction.
IAAS Reactive Auto Scaling Performance Challenges
Authors:   Research Scholar, Computer Science, Prist Deemed to be University, Chennai, India., Ramya E. , Sahana R.Jospehine ,   Asst. Professor, Computer Science, Prist Deemed to be University, Chennai, India.
Published: August 2019

The principle highlight of a cloud application is its versatility. Significant IaaS cloud administrations suppliers (CSP) utilize auto scaling on the dimension of virtual machines (VM). Other virtualization arrangements (for example compartments, units) can likewise scale. An application scales in light of progress in watched measurements, for example in CPU use. Every so often, cloud applications display the powerlessness to meet the Quality of Service (QoS) necessities during the scaling brought about by the reactivity of auto scaling arrangements. This paper gives the after effects of the auto scaling execution assessment for two-layered virtualization (VMs and units) directed in the open billows of AWS, Microsoft and Google utilizing the methodology and the Auto scaling Performance Estimation Tool created by the creators.
FPGA Implementation of Adaptive Multiplier-Based Linear Image Interpolation
Authors:   Department of Electronics and Communication Engineering, Sreyas Institute of Engineering and Technology, Hyderabad, India., Moses C. John , Selvathi D. ,   Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakai, India..
Published: August 2019

This work provides an image interpolation for multimedia applications by utilizing an adaptive multiplier-based stepwise linear interpolation with clam filter. Image interpolation is also termed as image up-scaling. Generally, while enlarging an image some vacant bit positions are introduced and due to this empty pixel positions, the quality of the image is decreased. Therefore to maintain the quality of the image, new pixels are introduced and those pixels are used to fill the vacant bit positions by using interpolation techniques. In the adaptive interpolation techniques, edge pixels are identified and filtered at prior to the interpolation process. This will improve the quality of the interpolated image. However, the adaptive interpolation scheme increases the complexity of the system. To reduce the complexity, this work uses low complexity stepwise linear interpolation and to maintain the quality it uses multiplier-based linear stepwise (MBLSI) and edge enhancement technique. The experimental results demonstrate that the complexity of the proposed work is less as compared with other related work as well as the quality is also maintained. The proposed work utilizes 275 LUTs to provide the average peak signal to noise ratio (PSNR) of 20.44 dB and structural similarity index (SSIM) as 0.8250. This proposed work increases the PSNR by 0.89 dB from the conventional multiplier-based stepwise linear interpolation. Further the proposed interpolation algorithm utilizes less number of resources in field programmable gate array (FPGA) by comparing with other related interpolation techniques.
ChatBot for College Website
Authors:   PG Student, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India., Sonawane Shubham Vijay , R Shanmughasundaram ,   Assistant Professor, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
Published: August 2019

In any service-providing organization, it is necessary to answer current or future customer’s questions for their information and for maintaining good relationship with the customers. These organizations usually have call centers with hundreds and thousands of employees to give replies to customers through chat (i.e. text) or phone calls. These kind of traditional systems need large number of employees which eventually increases the overall expenditure and manpower requirement of that organization. This paper is aimed at minimizing the manpower requirement i.e. decreasing the number of employees by implementing a chat service. This concept of chatbot has been proposed for implementation in College Website that will automatically reply to the queries of stakeholders like students, parents, etc. without any human interaction. For implementation of chatbot sequence to sequence model is used which is a deep neural network.
Assessing Competency of Community Healthcare Workers
Authors:   Research Scholar, School of Management, Hindustan Institute of Technology and Science, Chennai and Assistant Professor, Chettinad Academy of Research and Education, Chennai, Tamil Nadu, India, Princy A.S. , Rajeswari Dr. M. ,   Associate Professor, School of Management Hindustan Institute of Technology and Science, Chennai (Tamil Nadu), India.
Published: August 2019

Background: Community healthcare workers (CHW) play an important role in preventive healthcare system in India. CHW link the community to the health system of the country. As the population in India covers majorly in village, community healthcare workers are the face of the healthcare. These CHW competencies are yet to be ascertained. Objectives: To determine standardized framework for competency of the Community healthcare workers in India. Methods: By using structured questionnaire with 5 point Likert scale is implemented to evaluate the competency of CHW. Respondents are 35 participants including Accredited Social Health Activist (ASHA), Medical social worker and diabetes educator in and around Chennai. Findings: Suggested that community health workers are highly competent. More clarity in role of community healthcare workers is required. Government should initiate program to nurture the service quality of primary centers, equipment, manpower facility in health centers, etc Training regarding the maternity care and communication skills are core competency required for a CHW to perform his/her role properly. Conclusions: The results of the study show that CHW of India is also competent. Community healthcare workers are contributing more in maternal care and preventive care. They put more effort in health education and sanitation in rural areas.
KONTESTASI NORMA HAK GUGAT PASIEN DENGAN NORMA ADEKUAT DALAM PASAL 32 HURUF Q UU RUMAH SAKIT
Authors: Sismarwoto Edy
Published: August 2019

Fokus penelitian ini adalah perlindungan hukum atas Hak Pasien apabila terjadi sengketa perdata, karena adanya kelalaian dokter Rumah Sakit yang merugikan pasien. Dengan metode penelitian yuridis normatif ditemukan norma yang disharmonis di dalam satu ketentuan UU Rumah Sakit, yaitu terdapat kontestasi antara norma hak gugat pasien dengan norma adekuat, sehingga norma hak gugat pasien tidakdapat dilaksanakan. Analisis interpretatif terhadap logika aturan hokum digunakan untuk memahami persoalan tersebut dan menemukan solusinya. Adanya norma adekuat menghalangi gugatan perdata sehingga harus direformulasi dengan norma adekuat lain yang harmonis dengan hak gugat perdata.
SISTEM PEREKONOMIAN BERBASIS UNDANG-UNDANG DASAR NEGARA REPUBLIK INDONESIA TAHUN 1945
Authors: Nugroho Nunung
Published: August 2019

Bangsa Indonesia telah memiliki sistem perekonomian sendiri yang oleh para
pendiri Negara telah dicanangkan, yaitu yang menekankan asas kebersamaan dan kekeluargaan, dalam arti penekanan pada aspek kemakmuran bersama di samping kemakmuran individu dan kelompok. Sistem ini secara konstitusional telah dijamin dalam Pasal 33 UUD 1945, yang menyebutkan bahwa sistem perekonomian Indonesia disusun sebagai usaha bersama berdasarkan asas kekeluargaan. Cabang-cabang produksi
yang penting bagi Negara dan menguasai hajad hidup orang banyak dikuasai oleh Negara. Bumi dan kekayaan alam yang terkandung di dalamnya dikuasai oleh Negara dan dipergunakan sebesar-besarnya untuk kemakmuran rakyat. Sistem ini menekankan bahwa suatu usaha bersama berarti bahwa setiap warga Negara mempunyai hak dan kesempatan yang sama dalam menjalankan roda perekonomian dengan tujuan untuk
mensejahterakan bangsa. Oleh karena itu, negara harus mengambil bagian aktif dalam pengarahan perekonomian untuk mencapai (1) pertumbuhan ekonomi dengan tetap menjaga (2) kestabilan nilai uang (menghindari inflasi) dan dengan menjamin (3) tingkat pengangguran yang rendah dan (4) neraca perdagangan luar negeri yang seimbang. Dengan demikian, pembangunan ekonomi yang merupakan usaha bersama ata dasar kekeluargaan di bawah pengawasan anggota masyarakat, memotivasi dan
mendorongperan serta secara aktif. Keterkaitan dan kemitraan antar para pelaku dalam wadah kegiatan ekonomi yaitu pemerintah, badan usaha milik Negara, koperasi dan badan usaha swasta, dan sector informal harus diusahakan demi mewujudkanpertumbuhan, pemerataan dan stabilitas ؛ekonomi yang sesuai dengan system perekonomian Indonesia (pasal 33 ayat 1 UUD 1945).