bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of electre methods in determining for recipient candidate for pamsimas program in district pringsewu
Authors: Irviani Rita , Mukodimah Siti , Muslihudin Muhammad , . Trisnawati
Published: April 2019

Community-based Water Drinking Supply and Sanitation is one of the programs implemented by the Government of Indonesia with the support of the World Bank. One of the government targets under the RPJPN 2015-2019 is that Indonesia can provide drinking water and sanitation services for the people of Indonesia. The ELECTRE method is chosen because it is able to select the best alternative from the existing alternatives. This research used seven criteria as reference in determining for recipient candidate for PAMSIMAS program. The number of incidents of diarrheal diseases in one year (number of incidents), the number of people who have not used safe drinking water (individual), the number of people who have not used the toilet, the financial ability of the region, the income of the villagers, the distance of the source of clean water from the settlement, the availability of clean water. In addition to the criteria is also used the quality of the criteria to determine the best alternative and from the calculation of the alternative obtained the greatest value contained in A4 with value E = 4 and alternative A5 with the value E =4 thereby alternatives 4 and 5 are viable alternatives to the prospective recipient villages of the PAMSIMAS program in Pringsewu district.
Advancement in range based scheme for node localization of underwater acoustic networks
Authors: Khajuria Vinayak , Kaur Manjot
Published: April 2019

The underwater acoustic network is the type of network which is deployed under the deep sea or ocean to gather underwater information. The sensor node position estimation is a major issue of the underwater acoustic network. The process of estimating node position is called node localization. In the existing RSSI based approach for the node localization has a high delay which reduces its efficiency. The technique needs to be designed which localize a number of nodes in less amount of time. This research is based on the advancement of the range-based scheme for node localization. In the proposed scheme mobile beacons are responsible for the node localization. The beacon nodes send beacon message in the network and sensor nodes respond back with a reply message. When two beacons receive the reply of a sensor node that is considered as a localized node. The sensor nodes which are already localized will not respond back to the beacon messages which reduce delay in the network for node localization. The simulation of proposed modal is performed in MATLAB and it shows that proposed scheme performs well in terms of a number of nodes localized.
Overview and Tools of Asset Management in Renewable Energy Based Smart Grid
Authors: Salkuti Surender Reddy
Published: April 2019

This paper presents the importance, issues and challenges related to Smart Grid. It also evaluates various approaches for Smart Grid planning and operation. It discusses tools for asset management and their applicability to the next generation grid. The proper asset management reduces the risk of equipment failure, extends the equipment life and minimizes the occurrence of unplanned outages. Aging assets, uncertainty in load demand profile and renewable energy resources, and demand management create a challenge for the optimal operation and maintenance of electrical grid. Frequent condition assessment with asset audit enables a comprehensive assessment of the asset in question and includes objective and transparent asset condition information recommendations for the improved environmental sustainability. This paper addresses the challenges and opportunities to improve transmission and distribution systems asset maintenance. This paper also presents the asset replacement alternatives. It presents the cost-benefit analysis of asset management using the information/real time data from the utility company. This paper will serve a guide for doing the asset management to the electrification  process, investment and  recovery to sustain reliable and efficient power delivery.
Virtual simulation of a mechanical structure with 5DOF for induction hardening using Unity3D
Authors: Ionel-Alexandru Gal , Luige Vladareanu , Cang Shuang
Published: April 2019

In this paper we propose a mechanical structure with 5 degrees of freedom, designed to be used for induction hardening of metallic profiles which are used in building framed structures. All 5 joints of the proposed mechanical structure are prismatic, required to move a metallic profile through the inducer. The simulation was achieved using Unity3D software which provides the virtual environment needed for our purposes. To use the virtual simulation of the structure, we have had to build software components to help us gain access to the simulated components during the simulation. More components were added to implement the user interface and also the management backbone of the entire simulation. All of the software components which are used to interact with the mechanical system or its joints have been configured individually, supplying environment or physical variables for each component.
Building Empathy in Young Children Using Augmented Reality
Authors: Zamin N , A. Khairuddin F , R. A. Rambli D , N. M. Ibrahim E , S. A. Soobni M
Published: April 2019

Empathy is the feeling that a person can step out virtually from his/her own world and enter the internal world of another person.  In simple notation, empathy means the ability to ‘feel with’ other people, to sense what they are experiencing.  Empathy is different than sympathy.  It is a hard-wired capacity many of the people today is lacking. A psychological study has found that many people are suffering from Empathy Deficit Disorder (EDD). EDD gets severe by the increasingly polarized social and political culture especially in the under developed countries.  Lack of empathy and social wellness can be very damaging to the families, organizations and countries. This research investigates how compassion can be trained as a coping strategy to build social wellness using augmented reality on our young generations.  Smart and empathic citizens are the key to the success of Industrial Revolution (IR) 4.0.
Social Media in Enterprises in the Czech Republic
Authors: Kasparova Eva
Published: April 2019

Social media play an important role in the present business practice. Enterprises increase their usage of social media to accomplish various business objectives. Many companies are not only aware of the importance of social media in the contemporary economic practice but also perceive them as a competitive advantage. Social media expand the space for mutual communication both inside and outside an enterprise. Through social media, businesses can build, expand and consolidate social networks of relationships that are necessary to achieve the set goals. The paper focuses on the importance of social media in business practice and the use of social media by enterprises in the Czech Republic.
Decision Support System on Social Stability Governance Based on Scenario Approach
Authors: L. Schultz V , V. Kulba V , K. Avdeeva Z , B. Shelkov A , V. Chernov I
Published: April 2019

In modern conditions, it is necessary to organize effective information support for governance processes ensuring social stability on the basis of a comprehensive outpacing analysis of threats to regional security and sources of vulnerability of socio-economic systems, mechanisms to reduce uncertainty in the preparation and implementation of strategic and medium-term governance decisions, and improve their effectiveness in relation to the changing situations and in the external environment. The results presented in this paper are an evolution of the methodology of scenario analysis in the direction of developing formalized methods for analyzing and synthesizing alternative scenarios for the development of the situation in the social sphere and the means of supporting them.
Fuzzy hysteresis current control of five phase permanent magnet motor under open-circuit faults
Authors: Fatiha Mekri , El Fadhel Loubaba Bekri Oum
Published: April 2019

This paper presents a new current controller of a PWM of multiphase PM machines with a fuzzy logic band. With this kind of system it is possible to determine optimal currents references which maximize the torque density of the system when one or two phases are open circuited. We propose in this paper to combine this optimal reference current generation with fuzzy hysteresis control band. This solution allows a good tracking of these unconventional reference currents with a fixed switching frequency for the VSI. The study carried on simulation via software MatLab/Simulink.
Survey: Performance Analysis of FIR Filter Design Using Modified Truncation Multiplier with SQRT based Carry Select Adder
Authors: Penchalaiah U , Kumar VG Siva
Published: April 2019

A recent years of technology development in Signal processing application a FIR (Finite impulse response) filter design will have a highly compactable with high performance and low power in all digital signal processing application, such as audio processing, signal processing, software define radio and so on. Now a days in our environment will have more signal noises, and fluctuation due to technology development, here the Filter design is mainly configuring the priority to reduce the signal noises and fluctuation in all type of gadgets. In this project, the design contains Transpose form of high performance and high speed filter design using finite impulse response (FIR) filter with technique of pipelined inherently and supported multiple constant multiplication (MCM) in significant with saving power computation. In digital signal processing, the multiplier is a highly required thing, the example of parallel multiplier provide a high-speed and highly reliable method for multiplication, but this parallel multiplier will take large area and also power consumption. In the FIR filter design, multiplier and adders is the maximum priority will take to give the performance, but this MCM multiplier and Adders tree architecture will take large area and maximum power consumption in signal processing. So our Proposed approach of this work, will have replace the MCM multiplier to Truncated Multiplier and using the technique of Truncated based both Signed and Unsigned Operation with SQRT based Carry Select Adder (CSLA), and also replace the normal adders in FIR Filter to SQRT based Carry Select Adder (CSLA). In the proposed system of FIR Filter design results to be analysis with signed and unsigned Truncation using modified technique of HSCG-SCS based SQRT-CSLA and hence proved its more efficient than existing design, such as FIR filter for Truncation multiplier with SQRT-CSLA based Adders, FIR filter for Truncation multiplier with BEC based Adders, FIR filter for Truncation multiplier with RCA, and FIR filter for Truncation multiplier with Common Boolean logic based RCA, and finally implemented this design on VHDL with help of Xilinx FPGA-S6LX9 and shown the performance of proposed design in terms of delay, area, and power.
Development of Research & Development Dashboard For an University
Authors: Subrahmanyam Kodukula , Ketha Tirumuru , Balakrishna Salichemaladevarajulu , Naga Manoj Kumar Telaprolu
Published: April 2019

An information dashboard is a data association gadget that ostensibly tracks, displays and demonstrates the principle key execution markers (KPI) and key information focuses to screen the soundness of a business, university, office or particular process. They are versatile to meet the specific needs of an office and company or an university. A dashboard interfaces with our documents, attachments, services and API's, yet at first look shows this information as tables and also used to monitor and track various data. As constant checking decreases the hours of breaking down an information dashboard is the most proficient approach to track numerous information. In Research and progression work is facilitated towards the innovation, introduction, and development and advancement of products and processes. In this project we are going to develop a framework for R&D of a University in this we are mainly focusing on the Academic Research, sponsored & Internal Funding Research, Consultancy, center of Excellence, Innovation Incubation & Entrepreneurship and Extramural.This R&D Dashboard is utilized for web based enlisting for patents, copyrights, licenses, copyrights, productions in meetings, sorting out gatherings, seminars and workshops. This Dashboard was developed, utilizing Windows-based Microsoft excel, VISUAL BASIC and back end is Microsoft Access Database. The VISUAL BASIC has easy to use pull down menus and toolbars for different analysis.
Enhance Data Integrity For Data Storage In Cloud Computing
Authors: Shiva Krishna Maddhukuri. , D Sravani , Triveda.B Anjana
Published: April 2019

In this paper, a well secured and effective AES based framework is proposed for proposed for evaluating individual records put away at the untrusted server. The gadget guarantees the of certainties respectability and accessibility. The gadget bolsters open reviewing with the guide of using TPA and privateness holding by a method for not releasing the data to TPA amid trustworthiness check system. Through regular respectability checking, the machine guarantees records ownership at a remote server.
A Light Protocol for Tracking Secure Stuff for the Internet of Things
Authors: Chalasani Srinivas Dr , Srinivas Malladi Dr , . .
Published: April 2019

The Internet of Things (IoT) is growing in the web of an age-old IPv6 address for Internet connections and messages that arise between these and other devices and systems that work with the Internet. It is equipped with the unique ID and data transfer capability through the network. Among other things, tracking and tracking online travel is a major issue. Although there are many tracking techniques for moving objects, many are at risk. So there is a need for tracking the safety of an object Safety protocols should provide visibility and tracking of street objects in support of the Internet (IoT). This protocol is based on the RFID Identity System for IoT Objects. Existing ones do not provide authentication of sites that lead to fakes. Great use of energy. The proposed protocol improves road safety tracking using the base protocol light and SPDL. The requested protocol is intended to ensure accuracy, accuracy, confidentiality and encryption. To ensure safe monitoring of objects, the requested protocols use cryptic primitives that use HMAC concepts that are used to authenticate an object. This protocol introduction relies on code authentication code (CMC), which is used to reduce power consumption at low cost. The testing of a test network evaluates protocol implementation and is found to be safer and requires less calculation than existing protocols.
Hidden Markov Model Based Fault Tolerance in Credit Card Transaction Security
Authors: Arunachalam N , Prabavathy P , Priyatharshini S
Published: April 2019

Credit card fake detection has raised unique challenges due to the streaming, imbalanced, and non-stationary nature of the data that has been transacted. It had additionally included an active learning step, since the labeling (fake or genuine) use of a subset on transactions is obtained in near-real time through human investigators contacted the cardholders. In this paper, the Hidden Markov Model (HMM) algorithm has been used for sequence of Credit card operations for transaction processing and the fake can be detected by using the fake detection model during transaction processing. HMM, Fake detection model and image process had played an imperative role in the detection of credit card fake in online transactions. In fake detection, most challenging is a data problem, due to two major reasons – first, the profiles of cardholders are normal and fake lent behaviors changed constantly and secondly, credit card fake data sets are highly changed its position. Using fake detection (FD) algorithm the performance of detection in credit card transactions had highly affected by the sampling approach on dataset, selection of HMM, Fake detection model. Using fake detection (FD) algorithm an image technique had been used. A reliable augmentation of the target scarce population of fakes are  important considering issues such as labeling cost; algorithm HMM, fake detection and outlines in the data streamed source. We have approached several scenarios which showed the feasibility of improving detection capabilities evaluated by means of receiver operating characteristic (ROC) curves and several key performance indicators (KPI) commonly used in financial business.
Smart Green House Based on IOT
Authors: Nagabhushana Rao M , Chakri Ajit K , Phanindra Kumar G
Published: April 2019

In conventional strategy for cultivating, human works was necessary to see the greenhouse at particular point want to observe all the required levels  physically. The regular technique is observed to be slow and require a large amount of effort and energy. Along these lines this analysis around building up a framework that can consequently screen and anticipate various changes in  light, temperature Soil moisture and humidity levels of the greenhouse. The goal of the survey is that to build up a programmed monitoring device observing framework utilizing sensors and send email warnings and messages to the mobiles. The recommended framework has an estimation which equipped for identifying the levels of  light, temperature,soil moisture and humidity. The framework additionally had an instrument to caution agriculturists with respect to the limitation change in the conservatory then safeguard measures can be taken in advance. In this examination, a few experiments was directed to a particular final aim to demonstrate the suitability of  framework. Test outcomes showed that the dependability of the framework in spreading data straightforwardly to the agriculturists could be picked up astoundingly in different conditions
MSEC Scheme for Providing Secure Data Transformation Using Coding Technique
Authors: Kumar.J Ram , Avutu Veena , V Anurag
Published: April 2019

The MSEC which is the short from of Multiple Signature Elliptic curve Algorithm by using coding tchnique. It can be Digital Signature Algorithm (DSA) elliptic curve analogue. In 1999, the acknowledgement done such as standard of the ANSI. After that in 2000, it again acknowledged like benchmarks of the IEEE as well as NIST. Like this it again acknowledged in the year 1998 in the name of standard of ISO, as well as it was under thought to incorporate in some of other principles of ISO. unlike logarithm of standard discrete problem as well as number of issues of factorization, none of the  calculation of the sub exponential-time can called  to issue of the elliptic bend discrete logarithm. Similarly per-keybit quality can be generously much prominent  if consider the calculation which uses bends of  elliptic. This implemented system if or  executing the ANSI X9.62 ECDSA  on the bend of elliptic P-192, as well as talking regarding the relevant V of the security. Classes A as well as Subject D.4.6v Descriptors  which is Operating Systems: Security as well as Protection – getting  for  controlling, control of the confirmation cryptographic; E.3 [Data]:cryptosystem of the Data Encryption which is the Public key and standards. Algorithms, of the General Terms Security.
Secured SO a for Interoperable e-Learning Platforms Based on Encryption Algorithms
Authors: Vijaya lakshmi G , Dinesh kumar G , V.Sai Lohith M , Akhil Reddy Y
Published: April 2019

The Lionization of distance education is cake walking on day basis and is the most tendered process to obtain the information in any field. Compared to the traditional education it is providing many facilities in various aspects. As the improvements are rapid in this area, the requirements are also cake walking. A Service Oriented Architecture addresses issue by designing the views of reference architecture from the contents of various domains. It personalizes the delivery of e-content based on knowledge and preference of the learner. As the information provided in the e-learning systems is to be made secure along with the user information a specific security system is to be designed by using the concepts of system security. For this various algorithms such as Triple DES, RSA, AES are taken in to consideration as an experimental analysis. Only the authorized person can utilize the content without interfered by the other user. By the analysis experimentally AES is showing highest accuracy among all the algorithms.
IOT Based Intelligent Street Lighting System for Smart City
Authors: Bhagavan K , Sai saketh S , Mounika G , Vishal M , Hemanth M
Published: April 2019

This venture goes for planning and executing the propelled advancement in inserted frameworks for vitality sparing of road lights. As of now we used manual framework i.e In night the road lights will be ON in the night prior and turned OFF in following day morning. Be that as it may, the real planning for these traffic lights would be exchanged to ON condition when there will be is total obscurity. Here, dissipation of power occurred up to a specified degree. Result of this, we have wastage of power. Additionally, physical operation is completely absent in proposed lighting framework. This New framework give an answer for vitality sparing. This is accomplished by detecting and moving toward a vehicle utilizing an transmitter of InfraRed; and a Receiver which is made with with infrared. Simultäneous detection of sensor developmental transmit the information for a micròcontroller which conjointly switching ON light Essentially when the vehicle or a deterrent leaves the Light extort turning OFF when a sense is made by a sensor for each question in a mèantime the status; (Turn ON / Turn OFF) of street light of the road got to from anyplace and buttoned up web. Venture actualized over; a savvy inserted framework which supervisions roadway  lights in light identification of trucks/Busses/cars etc or some other obstructions.; On any occasion that snag will distinguished in the city inside required predefined timeperiod naturally ON/OFF of light occured as indicated by hindrance discovery & a similar data can be gotten to through web. By using the Internet, from any place we can get road light continuous data i.e (ON/OFF) whenever, required.
SIS Framework for Risk Assessment Through Quantitative Analysis
Authors: Naga Malleswari D , K.Subrahmanyam Dr
Published: April 2019

Now a days, risk management plays very important role in Information systems, currently there are various risk assessment techniques. When system is analysing the source code, automatically some disputes may arise which depends on various reasons. These disputes may arise some of the risks in information system which may leads to loss of some data. To avoid that, in this paper we are implementing a framework for source code analysis which is used for brief assessment of risk, which includes guidance to risk minimization. In this framework source based risk assessment is done through the source code analysis. In order to assess risk that arose from the source code, first we need to calculate complexity of a source code in Information System. Finally the complexity which is the result of this framework will indicates the risk intensity of the source code.
Density Based Traffic Light Controlling System using IOT
Authors: Bhagavan K , Yaswitha Reddy B , Krishna Sujay T , Sravan Kumar T
Published: April 2019

The present existing frameworks do dominant the traffic becomes major issue owe to fast increase in vehicles and conjointly owing to giant time lag between the traffic lights. So, so as to improve the               downside, I am going to opt for the effective traffic lights system using Density technique. This paper illustrate you how to manage traffic density. During this scheme, the sensing are adopted to live traffic substantially. we rearrange one LDR sensing element for each one road; these Light Dependent resistors sensors forever the traffic thereon specific roadway. of these LDR sensors are interfaced with micro controller. Supported controller & Sensors recognize traffic after that traffic system has been controlled.
Design & Development of a Home Security System Using IOT
Authors: Chandan Madhavarapu , Sri Venkat Sumanth Sanakkayala , Samhita Garapati , Priyanka Reddy Kathi
Published: April 2019

The present existing frameworks are intended for short range PAN applications that have a few constraints as of, the application is fit in with a short scope territory and the framework ends if as far as possible crosser certain incentive next is the quantity of parameters the framework screens are less and the last one is the framework is just a solitary way or a simplex correspondence framework .i.e., the past frameworks are just ready frameworks and are not controllable. As talked about over the present tasks faces certain difficulties. Henceforth to defeat those impediments this paper proposes certain adjustments to the first framework which tends the framework to enhance its execution and offer fulfilling comes about that makes the general framework simple to deal with, work and reasonable without trading off the security requirements with assist of sensors. A Microcontroller and Global system for mobile communications which is a mobile system integrated with the sensors; All this system sent an SMS for the client for alert. Then User can give instructions as required via mobile.
Effective Bug Triage With Software Reliability
Authors: Chaitanya Krishna B , Sai Prasanna N , Hema Lahari B , Ajay Ch
Published: April 2019

Programming associations spend in excess of 45 percent of cost in overseeing programming bugs. An inevitable progress of settling bugs is bug triage, which wants to precisely dole out a planner to another bug. To reduce the time cost in manual work, content portrayal frameworks are associated with coordinate customized bug triage. In this paper, we address the issue of data diminishment for bug triage, i.e., how to diminish the scale and upgrade the idea of bug data. We unite case assurance with feature decision to at the same time decrease data scale on the bug estimation and the word estimation. To choose the demand of applying event assurance and feature decision, we expel characteristics from evident bug instructive records and create a judicious model for another bug enlightening file. We precisely investigate the execution of data diminish on completely 600,000 bug reports of two significant open source wanders, particularly Eclipse and Mozilla. The results exhibit that our data abatement can satisfactorily decrease the data scale and improve the precision of bug triage. Our work gives an approach to manage using techniques on data taking care of to outline diminished and stunning bug data in programming change and upkeep.
Tetris security keypads design with higher security using alignment and padding
Authors: Jin Mun Hyung , Hee Han Kun
Published: April 2019

Background/Objectives: With the development of ICT, there has been a rapid increase of demand on convenient services for users to make financial transactions on smartphone. User authentication is made by inputting password on smartphone.Methods/Statistical analysis: Banks or fintech service providers receive password using a security keypads, but attackers take a peep at passwords by various ways such as Google Glass or shoulder surfing attack. Because the locations of keypads are almost fixed and the size of keypads is almost the same, they are vulnerable to attacks using the touched location or shoulder surfing attacks.Findings: To protect security and safety from various attacks such as the stealing of touched location using Google Glass, shoulder surfing attack, or malware, this study proposes to diversify the size of keypads, connect the keys as a Tetris game but randomly align them to left or right, and add paddings in-between the keypads so that it is difficult to infer a password by the information of touched location.Improvements/Applications: Since a different letter is entered even if the same key is touched, it will be difficult for the attacker to infer the password through this proposed technique. It will be possible to block the attacker from peeping at a user’s touched location information or the shoulder surfing attack.
A prediction model for peer attachment in KOREAN female adolescents using back propagation neural network
Authors: Byeon Haewon , . .
Published: April 2019

Background/Objectives: This study used data mining technique to explore the potential factors affecting the peer attachment of South Korean female students.Methods/Statistical analysis: This study analyzed 2009 9th grade female students, who attended Panel Study on Korean Children in 2016. Peer attachment was defined as a dependent variable. The explanatory variables included gender, academic achievement satisfaction, subjective household economy level, parent-child dialogue frequency, subjective health status, depression symptom, self-esteem, subjective life satisfaction, and mobile phone dependence. The predictors of peer attachment were analyzed by using back propagation neural network (BPN).Findings: Analysis results showed that depression, self-esteem, dialogue level between parent and child regarding school life, subjective health condition were highly related to the peer attachment of female students.Improvements/Applications: It is required to develop a customized educational program to form a successful social relationship between adolescent female students.
Wireless sensor networks security issues and challenges: A survey
Authors: K B Vikhyath , Brahmanand S. H Dr
Published: April 2019

Wireless Sensor Network (WSN) is a rising technology that offers a great assurance towards a variety of revolutionary applications such as military and public. As wireless sensor networks continue to develop, there is a high importance in security mechanisms. As sensor networks works with responsive data and operate in antagonistic environments, it is crucial to address the security issues. The sensing technology united with wireless communication and processing power makes it rewarding. Due to these computing and inherent constraints in resource, sensor network security has special challenges. The low cost and collaborative nature of the wireless networks (WNs) offers significant advantages upon the conventional communication techniques. The wireless communication technology has several kinds of security threats. The spotlight of this paper is towards addressing the security issues and challenges of WSNs. Here the idea is to identify the threats and security mechanism of wireless sensor networks.
Prediction based person recognition using face and speech (multi modal) for improved performance
Authors: Kumar. D. S Dinesh , P. V. Rao Dr
Published: April 2019

In recent World Technological Applications Person Recognition plays a major role in biometric security applications and it is a process of authenticating true identity of a speaker using speech or face image. This automatically recognizes the person speaking based on the speech information which includes the individual speech signals. It’s one of applications is Bio-metric applications and in order to verify each person identity, the speaker’s voice or face images have been used in the database. The importance of it becoming more popular now-a-days for security purpose and identification. In the existing work using visualization eye scan, impressions, expression scan, finger print, speech print, script for individuals of identifying the chances of theft and fraud are increasing. To address these issues, biometric voice recognition and real time face recognition system are proposed, the exclusive speaker physical appearance of a distinct can be identified. In general the individuals have different speed of speaking; therefore the sound should be adjusted, in order to match with the speed of the stored sounds templates in the memory of the proposed system. The proposed work is implemented and simulated using on Mat lab 2014A. The parallel hardware structure of the proposed work significantly reduces the time-consumption. The proposed research work provides maximum False Acceptance Rate (FAR) of 1.1765%, False Rejection Rate of 10% with an accuracy of 98.89%.
Housing demand forecast based on income section using model tree technique
Authors: Seon Lim Hyoung , Hyun Choi Sang
Published: April 2019

Background/Objectives: Mankiw and Weil modified model, which is mainly used in the field of housing demand, has the problem that the added variable has no linear relationship with the age-specific house demand.Methods/Statistical analysis: In this research, we tried to complement the existing model by proposing aM-W modified model utilizing the Model tree technique. In addition, many poor people need another analysis that understands the characteristics to live in abnormal houses. And, we tried to avoid this problem by reflecting income section. We compare the performance with existing models using the 2005 and 2010 Population and Housing Cencus data.Findings: First, the error rate of the M - W modified model is greatly affected by the extreme poverty class and the low income class. Second, overall the performance of the model tree dominates, the performance has further improved to produce more of the nodes.In the middle class in which five nodes were created, the error rate decreased by 89%, and the correlation coefficient increased by 0.2566 with 0.0490.Third, it is more accurate to use the "total of income section predicted values" rather than the existing "entire section predicted value". Fourth, in order to express an accurate section error, we propose to judge "not the total of income section errors" but "total absolute value of income section error".Improvements/Applications: In this research, there is a limitation that generalization of results is inappropriate. For further research, it is considered appropriate to apply the Random forest method to generalize the results.
A machine learning driven approach to improve efficiency of classification algorithm using prediction of affliction
Authors: Sumalatha V , R.Santhi Dr
Published: April 2019

Machine learning plays a key role in a wide range of applications such as data mining, natural language processing and expert systems. It provides a solution in all domains for further development when large data is applied. Supervised learning is consist of mathematical algorithm to optimize the functions with given inputs. Machine learning solves problems that cannot be solved by numerical values. In this research paper, a model is developed to improve classification algorithm using anxiety of juvenile. Prediction and classification are made using data. A machine learning tool is used for pre-processing and first level of model is data preparation and ranking prototype used for filtration of data . Then Probabilistic estimation hypothesis is to find the hypothesis value based on statistical functions and classification of anxiety predictor model is used for prediction and classification. Comparison of Algorithm and experimental are done using machine learning software. According to the experiment, the model is more efficient and accurate compared with other classification algorithm as results shown.
An effective cloud based personal emergency response system by providing privacy protection for the medical data
Authors: Brindha Devi V , U Lokeswari , B Saraswathi , T Vindhya
Published: April 2019

Timely access to the emergency medical services is challenging tasks due to the increasing percentage of population. Especially prehospital emergency situations are neglected for quite a long time. The agglomeration of medical gadgets and other system applications that bridges the gap to healthcare IT systems through Internet or computer networks is placed under the domain (IoMT) Internet Of Medical Things . In this project an efficient medical data monitoring and an emergency response system has been developed. IoT in healthcare is made to bridge the gap by providing the connectivity through internet making sure that the information is secured and available on the timely access. The wireless monitoring device collects data from various sensors, which is shared into the database using ZigBee cc2530 Transmitter Receiver through UART communication. The wireless device is embedded with sensors like Pulse oximeter (senses the heart beat rate and blood oxygen concentration)and temperature sensor. This data is monitored regularly and if there is any abnormality in the values then an alert is sent to the doctor to intimate the condition of the patient. This paper provides an interaction of the patient with the doctors. The interaction is enabled using public and private chat application where any number of patients can interact with a doctor. It is challenging task to personalize specific healthcare data i.e. medical records for various application users in an appropriate and secured fashion. Thus, the patient’s health records i.e. prescription, scan reports, etc. are uploaded by the patient which can be viewed by the doctor. These files are encrypted using an encryption algorithm before uploading it into the cloud. Similarly it is decrypted while downloaded by the doctor for reference. The data collected is used for the prediction of diseases like heart attack and the report is sent to the doctor. Hence the project’s aim is, when the recorded value exceeds the threshold range, an automatic intimation with the patient’s collected data is sent to the concerned doctor.
A study on flow as affected by the shape and wind speed of ventilated seat
Authors: Kwang Choi Kye , Ung Cho Jae
Published: April 2019

Background/Objectives: We studied the ventilated seats with amenities. The study has its purpose in checking the flow as affected by the shape of the ventilated seats and thereby acquiring the design factors.Methods/Statistical analysis: In order to acquire the design factors for ventilated seats as affected by the shapes and wind speeds of the different models, we used CATIA program to design the shape, of which the flow was analyzed with ANSYS CFX program. Thus, we have acquired the design factors for ventilated seats, which data can be used to ensure higher levels of efficiency as compared to the shapes before.Findings: For analyzing, we placed an inlet at the vent at the bottom and placed an outlet at the top by setting a boundary around it. From the setup, which had the initial wind speed at 15m/s, the wind speed within the boundary was 29.91m/s for model 1 and 44.81m/s for model 2. At the initial wind speed of 30m/s, we got a wind speed of 60.25m/s for model 1 and 88.60m/s for model 2. As for the pressure and speed in the flow path as the initial wind speed of 15m/s, we got the maximum pressure of 100.60kPa and the maximum speed of 29.45m/s. For model 2, we got the maximum pressure of 102.30kPa and the maximum speed of 44.81m/s. At the initial wind speed of 30m/s, we got the maximum pressure of 102.30kPa and the maximum speed of 60.25m/s for model 1. For model 2, we got the maximum pressure of 105.10kPa and the maximum speed of 88.60m/s.Improvements/Applications: Through the data obtained from this analysis, the varied seat structure for additional amenities can be improved and applied with more design factors.
Reduction method of residual voltage by connecting lead length of surge protection device
Authors: Dal Kim Young , Chan Kim Young , Mi Jeong Yun , Dong Lee Dae
Published: April 2019

Background/Objectives: In order to minimize the damage and malfunction of the equipment and system from various surges, we studied the method of reducing the residual voltage according to the lead wire length of the surge protector.Methods/Statistical analysis: In buildings, SPD installation space is insufficient or narrow, resulting in longer lead wire of SPD, and SPD protection performance is decreased due to increase of voltage protection level and residual voltage. In this study, the voltage protection level and the residual voltage of the conventional SPD model and the proposed SPD model are analyzed according to the change of the connecting conductor length from 0.5to 100m.Findings: In the case of the conventional SPD model, the protection level of the SPD is excellent by measuring the voltage protection level at 1,410V even if the lead wire length of the connecting conductor is changed to 10m, but when it exceeds 10m, the protection performance and the protection cooperation are reduced. On the other hand, in the case of the proposed SPD model, the voltage protection level was measured to be 50 V or less even if the lead wire length of the connecting conductor was changed to100 m. Therefore, it is considered that SPD protection performance and protection cooperation are excellent.Improvements/Applications: The design technique of SPD obtained through this study will help to select the optimal installation site and reduce the budget.
Classification of cardiac arrhythmias using deep learning
Authors: Hwan Kim Jeong , Whan Lee Jeong , Seop Kim Kyeong
Published: April 2019

Background/Objectives: The main objective of this research is to design Deep Learning (DL) architecture to classify an electrocardiogram (ECG) signal into normal sinus rhythm (NSR), premature ventricular contraction (PVC), atrial premature contraction (APC) or right/left bundle branch block (RBBB/LBBB) arrhythmia by empirically optimizing the numbers of hidden layers, the number of neurons in each hidden layer and the number of neurons in input layer in DL model.Methods/Statistical analysis: For our experimental simulations, PhysioBank-MIT/BIH annotated ECG database was considered to classify heart beats into abnormal rhythms (PVC, APC, RBBB, LBBB) or normal sinus. The performance of classifying ECG beats by the proposed DL architecture was evaluated by computing the overall accuracy of classifying NSR or four different arrhythmias.Findings: Base on testing MIT/BIH arrhythmia database, the proposed DL model can classify the heart rhythm into one of NSR, PVC, APC, RBBB or LBBB beat with the mean accuracy of 95.5% by implementing DL architecture with 200 neurons in input layer, 100 neurons in the first and second hidden layer, respectively and 80 neurons in the 3rd hidden layer.Improvements/Applications: Our experimental results show that the proposed DL model might not be quite accurate for detecting APC beats due to its morphological resemblance of NSR. Therefore, we might need to design more sophisticated DL architecture by including more temporal characteristics of APC to increase the classification accuracy of APC arrhythmia in the future research efforts.
Issues of lean-agile software development environment
Authors: Kumar Nath Udit , Mahapatra Satyasundara , Pattnaik Prasant Kumar , Jagadev Alok Kumar
Published: April 2019

The popular waterfall model is widely accepted approach for project management paradigm; however lean based agile model is the recent revolution to reduce work in progress items and makes transformation to better process by identifying and eliminating non-value-add activities and increase productivity with quality of deliverables. This paper includes the issues that involved in lean- agile process.
Analysis for guaranteeing performance in map reduce systems with hadoop and R
Authors: Anand L , Senthilkumar K , Arivazhagan N , Sivakumar V
Published: April 2019

Corporates have fast developing measures of information to technique and store, an information blast goes ahead by USA. By and by one on the whole the chief regular ways to deal with treat these gigantic data amounts region units upheld the MapReduce parallel programming worldview. Though its utilization is across the board inside the exchange, guaranteeing execution limitations, while at a comparable time limiting costs, still gives escalated challenges. We have an angle to have a trend to propose a harsh grained administration hypothetical approach, bolstered procedures that have effectively attempted their quality inside the administration group. We have an angle to have a leaning to acquaint the essential equation with make dynamic models for substantial data MapReduce frameworks, running a matching business. What are a lot of we have a gradient to have a tendency to learn a join of central administration utilize cases: loose execution minor asset and strict execution. For the essential case we have a slant to have a leaning to build up a join of blame administration systems. An established criticism controller and a decent essentially based input that limits the measure of bunch reconfigurations still. In addition, to deal with strict execution necessities a bolster forward ambiguous controller that speedily stifles the ramifications of huge work estimate varieties is created. Every one of the controllers unit substantial on-line all through a benchmark running all through a genuine sixty hub MapReduce bunch, utilizing a data serious Business Intelligence work. Our investigations show the accomplishment of the administration courses used in soothing administration time requirements.
Design & development of vehicular micro strip patch antenna for emergency vehicle
Authors: Abishek. B Ebenezer , Arun Raaza Dr , V. Rajendran Dr
Published: April 2019

Life threat events can occur during Traffic congested peak hours. Emergency vehicles are mostly stuck in the traffic jams because people are unaware of traffic rules, no separate lanes for emergency vehicles. Traffic jams in case of health emergencies and emergencies like fire accident lead to increase in death rate. The loss of precious life can be avoided by efficient traffic management system. In this paper a microstrip antenna is designed and developed with radiation characteristics best suited for the emergency vehicles. Emergency vehicle alert for short-range vehicular networks will be implemented using the fabricated antenna.
Modern shopping cart with automatic billing system using load sensor
Authors: Kavitha D , . .
Published: April 2019

A survey of people’s shopping habits has been completed recently and they've come up with the top 10 list of the things that people hate when supermarket shopping. These figures were taken from a survey of 2500 people on their supermarket shopping habits. There is no surprise on the number one issue - It was long queues at the check-outs with 62 per cent of the people surveyed stating this to be their big issue when shopping in a super market. So we have enhanced an idea to avoid long queues by providing SMART TROLLEY. Here we have provided a barcode reader and digital display in order to display the total amount of the shopping. It has two additional functionalities to make this Trolley more efficient. It has a LOAD CELL to detect the mal practice. In addition, we have provided IN SWITCH and OUT SWITCH for customer ease of use.
Improvement of bit error rate performance of MC-CDMA system by using adaptive digital modulation schemes
Authors: T Jaya , Monisha M , Meena M , Sharanya C
Published: April 2019

In Wireless Communication, the transmission channel suffers due to multipath propagation and channel dispersion due to Inter Symbol Interference (ISI), thereby degrades the system performance greatly. Future communication requires high data rate and effective utilization of bandwidth. Hence, there is a need to improve the Bit Error Rate (BER). The proposed work is Adaptive Modulation (AM), combined with Multi Carrier Code Division Multiple Access (MC-CDMA) based transmission system. It is a promising way to increase the data rate and it uses bandwidth in a efficient manner. The Adaptive Modulation based MC-CDMA systems applied to a wide-area environment, can achieve high data rate up to 100Mbps. In this paper M-ary PSK, M-ary QAM and M-ary CPM modulation techniques are used. The Adap-tive modulation based MC-CDMA systems perform well for around 10 number of users. As a whole, the adaptive MC-CDMA system is found to give the optimum BER performance of given digital modulation schemes for fourth generation environment.