bluuebunny/crossref_metadata_2025 huggingface dataset:
A quality enhanced preprocessing method for mammogram ROI extraction
Authors: R. Thamizhvani T , Babu Bincy , Josephin Arockia Dhivya A , J. Hemalatha R , Elsa Joseph Josline , Keerthana A
Published: April 2019

Early detection of breast cancer is necessary because it is considered as one of the most common reason of cancer death among women. Nowadays, the basic screening test for detection of breast cancer is Mammography which con-sists of various artifacts. These artifacts leads to wrong results in detection of breast cancer. Therefore, Computer Aided Diagnosis (CAD) system mainly focus in removal of artifacts and mammogram quality enhancement. By this procedure, exact Region of Interest (ROI) can be obtained. This is a challenging procedure because detection of pecto-ral muscle and cancer region is difficult. Here a comparative study of different preprocessing and enhancement tech-niques are done by testing proposed system on mammogram mini-MIAS database. Result obtained shows that sug-gested system is efficient for CAD system.
Acquiring and processing of female EEG signals of various wrist movements for neuro prosthetic applications
Authors: G. Umashankar , Juliet Vimala , Santhosh Sheeba
Published: April 2019

Human brain contain neurons which generate electrical signals, this can be recorded through electro encephalograph(EEG). Sensory motor cortices are  responsible for motor activity i.e., various body movements, among which wrist movement reveals frequency change in Alpha & Beta bands of EEG signal. The aim of this approach is to calculate frequency changes responsible for various wrist movements such as flexion, extension, clockwise rotation and anticlockwise rotation, pronation and supination of female in both eyes open and eyes close conditions using FFT, wavelet transform classifier, where the largest set of EEG data is reduced to dimensions and the spectral frequencies for particular wrist movements are classified and the statistical analysis is done of various trials for both eyes open and eyes close conditions in both time domain and frequency domain and the mean and standard deviation of various trials will be compared for eyes open and eyes close condition in both time domain and frequency domain and these values can be implemented for neuro prosthetic applications.
Reduced decoding time of LDPC code using convolutional code with Vitrebi decoding in Underwater Communication
Authors: N.R Krishnamoorthy , R Ramadevi , M Marshiana , Kumaran Sujatha
Published: April 2019

Low Density Parity Check code is the more efficient technique to attain the minimal error rate in the underwater channel. To reduce the processing delay in the LDPC decoding, convolutional code with high code rate is used. The result showed that the BER of 10-4 can be obtained with Eb/No value of 20 for code rate of ½ and 12 for code rate of 1/8. It is also showed in result that the decoding time is reduced one-third for data size of 500 and one-tenth for the data size of 1500 bits.
PLC based automatic grinding system for door frames
Authors: Rohith Mervin Noel , R Aravind , Joe S Bestley
Published: April 2019

Usually in order to smoothen or flatten any surface we generally prefer grinding process, the grinding process can be done in surface area or metal portion in any possible areas or metal portion in any possible area we want. This research work is on automation, since automation can be done for grinding of door frames. This idea gained inertest is due to the increasing demand of door frames for the customers in huge amount of production rates. There are several methods to grind the door frames either it can be done by humans (man-made), because normally grinding is a process which is being done manually by humans and we also have several methods other than manual grinding techniques. By automation using â€œprogrammable logic controllersâ€Â  (PLC) which can overcome the traditional relay logic controllers, the door frames can be preferably grinded in a fraction of seconds and production rates to gets higher. Since we use (PLC) being the industrial tool, it performs the step-by-step sequence combined by both mechanical and electrical parts. In this paper, theÂ  proposed (PLC) based grinding automation is performed and finally compared with the conventional methods being used before grinding process and validated by using real time status obtained.Â Â
Traffic Management at Madhya Kailash Intersection along Rajiv Gandhi Road in Chennai
Authors: V Sampathkumar. , Simron Rajkumar Samuel
Published: April 2019

This paper focuses on the improvement of the traffic flow at the three-major congested intersection located near Madhya Kailash, Tidel Park and SRP Tools along Rajiv Gandhi road in Chennai City. Road inventory survey and volume count survey have been conducted at the three intersections. Volume accumulation curves are developed to obtain the peak volume and peak time. From the analysis it is found that the peak volume is about 2321 passenger car equivalence (PCE), 2544 PCE and 2396 PCE at the three intersections respectively during peak hour. The volume to capacity ratio is about 1.29, 1.41 and 1.33 obtained which makes high level of congestion and poor level of service in turn shows an immediate need of traffic management measure. Transport system management concepts are suggested to manage the traffic flow which will improve the flow at the study intersections.Â Â
Weighted Product and Its Application to Measure Employee Performance
Authors: Aminudin Nur , Sundari Eni , K Shankar , Deepalakshmi P , . Fauzi , Irviani Rita , Maseleno Andino
Published: April 2019

The decision support system of employee performance index appraisal is a decision support system that can assist decision makers for employee performance appraisal at the Pringsewu district revenue department. As for the purpose of this DSS namely 1. To make decisions in the field of human resources to come, 2. To evaluate the performance of each employee in achieving the target work that has been determined , 3. For improve employee performance in the future. The problems to be solved are: 1. How to change the assessment process that used to still use manual way by computerization. 2. How to apply the progress of change in today's sophisticated technology. In this decision system using Weighted Product (WP) weighting method of WP method is the choice of method on decision support system of employee performance appraisal index at revenue department of Pringsewu district. Weighted product method is a method of completion by using multiplication to attribute attribute rating in which rating must be prefixed with bob ot attribute in question. This decision support system can perform the process of calculating employee performance appraisal so that it can realize a fair assessment based on existing criteria calculations on this system using weighted product weighting (WP) that can produce the best employee performance appraisal system calculation from the highest value of 0.250 to the lowest value of 0.133 . The highest score is the best employee while the lowest score is the worst employee performance. This system can present employee performance appraisal reports quickly and clearly so that more effective and efficient.
Nur Algorithm on Data Encryption and Decryption
Authors: Aminudin Nur , Maseleno Andino , K Shankar , Hemalatha S , Sathesh kumar K , . Fauzi , Irviani Rita , Muslihudin Muhamad
Published: April 2019

Security is a priority in information system, especially in the exchange of data that are important or confidential. The information to be given to the party entitled to the information must be properly safeguarded, don’t fall into the  other hands who have no right to such information. One way to maintain the security of information exchanged in a system can be done using cryptographic techniques. Cryptography is the art and science to hide information from third parties. In cryptography a person who has a private key can convert plaintext data into unique and unreadable data (ciphertext) and can convert existing ciphertext into plaintext form by using its private key. System development (System Development Lifecycle) can mean to construct a new system to replace old system, combined with prototyping technique to build a cryptographic system using Nur algorithm which is implemented using programming language used is assembly (MASM32). In Nur Aminuddin's Encryptor there are two data-reading techniques namely encryption technique (the technique of converting data from the original into unreadable code) and decryption technique (the techniques of reading unreadable codes become readable) Encryption technique is built by applying technique of modern cryptography which holds secrecy on the symmetric key, so the security of encryption depends only on the key and does not depend on whether the algorithm is known to people or not.
An epitomization of stress recognition from speech signal
Authors: Narayanan Veena , Lalitha S , Gupta Deepa
Published: April 2019

The Detection of stress from speech signal is gaining large attention recently. The emergence of new methods and techniques for feature extraction and classification paved the way to different solutions to detect different stress conditions using human speech and led to an in-crease in the accuracy of stress recognition. A large number of parameters are proposed for the characterization of stress in speech. Similarly numerous classifiers and machine learning algorithms are investigated for stress classification and regression. In this treatise, a recital on the commonly used databases, stress conditions, different feature extraction methods and classifiers along with some of the statistical measures as well as compensation techniques for stress detection are presented in this article. After thorough illustration of existing methodology for the task, future prospects for the work are elaborated.
Emotion detection on cross platform languages
Authors: Arif Mohammad , Singh Mandeep , Boparai Rajdavinder
Published: April 2019

Internet has changed the course of our living. It has become the most beneficial antecedent or source of information. Today almost everything is found on internet. Everyday millions of people post their ideas, reviews, stories about the services, products or other persons. The size of data is increasing tremendously. It is very difficult to analyze that amount of data and figure out the emotions or sentiments posed by people. Emotion detection is such a technique where we can judge people’s ideas and extract the emotion towards an entity or service. We have used subjective lexicon-based approach to bench the emoticons expressed by the ideas of the people. The data set that we have mainly focused is very cross and noisy. We have used Facebook data in Urdu and Kashmiri language. Both languages are very cross domain. These languages can be written in English alphabet that makes them more challenging to analyses. Our approach resolves the challenge to the maximum possible way. The results shown by our method on this kind of data set are better than any other approach. Our analysis on this type of dataset will help the local businessmen of these areas to grow and flourish. The analysis will give some insights what the local feel about the entity or product so that the manufacturers can design or build it that way and try to enhance its qualities.
The family hope program using AHP method
Authors: Aminudin Nur , Huda Miftachul , Suhaila Ihwani Siti , Shakib Mohd Noor Sulaiman , Basiron Bushrah , Azmi Jasmi Kamarul , Safar Jimaain , Kilani Mohamed Ahmad , Hassan Wan Embong Wan , Marzuki Mohamad Ahmad , Maseleno Andino , Masrur M. , . Trisnawati , Rohmadi Dwi
Published: April 2019

The Government program in tackling the economic crisis that has occurred so far is by providing direct assistance to very poor families (KSM) in every village throughout Indonesia. The Family Hope Program (FHP) is one of the government's conditional aid programs as a form of compensation from the fuel price increase, which certainly affects the lives of the wider community, including the poor. In order for the expected results to be more accurate and the system designed is arranged systematically, the authors decided to use Analytical Hierarchy Process (AHP). This decision support model will describe the problem of multi-factor or multi-criteria into a form of hierarchy, From the results of the test the shrill and weight of FHP assistance is the type of work of the head of the family is not fixed in the first rank with 4.9 shrill. With the results of the output is feasible or not prospective recipient in FHP, obtained from the comparison of the lamda weight of the rating category with the weight value of the predetermined ratio.
Poverty level grouping using SAW method
Authors: Yunaeti Anggraeni Elisabet , Huda Miftachul , Maseleno Andino , Safar Jimaain , Azmi Jasmi Kamarul , Kilani Mohamed Ahmad , Hehsan Aminudin , Basiron Bushrah , Suhaila Ihwani Siti , Hassan Wan Embong Wan , Marzuki Mohamad Ahmad , Shakib Mohd. Noor Sulaiman , Nabila Fauzi Almira , Ari Wijaya Dona , Masrur M.
Published: April 2019

Poverty is social gap problem for some people with below average income level but in Pringsewu district the poverty rate is significantly decreased so it is expected to increase the potential of Pringsewu region to be better, in increasing the potential of the region it needs a system that is expected to assist in determination of poverty level in sub district in Pringsewu by data clustering and ranking from every subdistrict in Pringsewu Regency using SAW method. Therefore, we are interested to build an application of Poverty Grouping in Pringsewu region in the form of Poverty Index of the last few years, existing data is expected to be a reference to increase the potential of the area by reducing the poverty rate every year. It is expected that the data obtained can be a reference of the government in reducing poverty level in subdistrics in Pringsewu District.
Design of online transaction model on traditional industry in order to increase turnover and benefits
Authors: Abadi Satria , Huda Miftachul , Hehsan Aminudin , Marzuki Mohamad Ahmad , Basiron Bushrah , Suhaila Ihwani Siti , Azmi Jasmi Kamarul , Safar Jimaain , Kilani Mohamed Ahmad , Hassan Wan Embong Wan , Shakib Mohd Noor Sulaiman , Brahmono Boris , Maseleno Andino , Nabila Fauzi Almira , Aminudin Nur , Gumanti Miswan
Published: April 2019

Online transactions are transactions made sellers and buyers online through the Internet media, there is no direct encounter between buyers and sellers. Currently with the rapid development of technology and the Internet in Indonesia, has had a great impact on the change of industrial business. That is starting from the way advertising, buying and selling, how to interact between humans, and so forth. With e-commerce has changed a lot in the process of buying and selling. Panda Alami is one of the banana chips industry established since 1998 in Cipadang Pesawaran village. This banana chips industry still uses manual way in transaction process. To increase the turnover and profit that is the purpose of this study, the transaction model is developed with SDLC (System Development Life Cycle) and software used to design and design this application is PHP programming language, MySQL Database and Adobe Photoshop CS3. Features include product search, order, delivery and payment confirmation and thus provide integration of the entire inventory unit sales network. An equally important factor is trust. In this process trust is the main capital. Because without the trust of both parties, then the process of online transactions can not happen and done.
Metric level based code clone detection using optimized code manager
Authors: Kaur Gundeep , Sharma Sumit
Published: April 2019

Object-oriented programming today, is the main prototype in typical software development. Code Cloning defines generally, all through the designing and development of software systems. Detection can be based on Textual analysis, Lexical analysis, Syntax analysis, Semantic analysis, Hybrid analysis and Metric analysis. The major drawback of the present research is that it focuses more on fragments of copied code and does not focus on the aspect that the fragments of duplicated code are may be part of a larger replicated program structure. In this process, techniques take a lot of time and it creates complexity. In our research, a source code is then scanned for detecting various methods by adopting a “OPTIMIZED SVM ALGORITHM” and the method definitions are extracted and collected by means of a CLONE CODE and saved for further reference. To evaluate the performance parameters we calculate the LOC, the number of repetitions, and maximum and minimum LOC. To enhance the performance metrics precision recall, accuracy and reduce the error rate and time complexity
Learning application of Lampung language based on multimedia software
Authors: Susilowati Tri , Shukri Mat The Kamarul , Mohd. Nasir Badlihisham , Ghafar Don Abdul , Huda Miftachul , Hensafitri Talia , Maseleno Andino , . Oktafianto , Irawan Dedi
Published: April 2019

In the learning method of Lampung language in Junior High School 1 Pugung still using conventional method so that the learning process of Lampung language in Junior High School 1 Pugung become less interactive and less fun so that the students pay less attention to what is delivered by the teacher. Lampung language is one of the regional languages in Indonesia, the language of Lampung itself must be studied when students who are in Lampung province who sit in junior high school. So the author makes a multimedia application using Adobe Flash which is used for learning Lampung language in Junior High School 1 Pugung become more interactive and fun, thus helping students to focus in learning Lampung language.
A Formal Protocol to Conduct Usability Heuristic Evaluations in the Context of the Software Development Process
Authors: Paz Freddy , A. Paz Freddy , Antonio Pow-Sang José , Collazos César
Published: April 2019

Heuristic evaluation is one of the most used techniques to evaluate the level of usability of a software product. In this research, we performed a comprehensive analysis of the recent studies which report the use of this method in the context of a software development process. The purpose was to identify the specific way in which each author performs this usability evaluation method, in order to propose a formal protocol. After an indeed examination of these studies, we have determined there are several differences in the way this technique is conducted according to the literature. There is no agreement about the number of inspectors that should participate, the usability principles that should be used, the profile of the specialists who must be part of the assessment team, or the evaluation process that should be followed. This work highlights the available settings and a detailed procedure to perform a heuristic evaluation in the domain of software products.
Make or Buy Decision Making with the Consideration of Inventory Cost
Authors: Teeravaraprug Jirarat , Potcharathitikull Tarathorn
Published: April 2019

Make or buy decision making has recently received substantial theoretical and empirical attention. This paper integrates inventory cost in make or buy decision making. Many practitioners think that inventory cost is low when comparing with other types of costs. Therefore inventory cost seems to be neglect. This paper proposed two mathematical models of total costs in the cases of make and buy with the consideration of inventory costs. Based on the numerical example, it shows that the decision making may be changed with and without considering inventory costs. Further, considering variations of demand and purchase lead time, it is found that high demand variation tends to use buy option whereas high purchase lead time variation tends to use make option.
IDO: modelling a serious educational game based on hands on approach for training dementia carers
Authors: Maskeliūnas R , Damaševičius R , Blažauskas T , Paulauska A , Paulauskas L , Chiatti C
Published: April 2019

Dementia is one of the burdensome diseases in older age for which there is no cure known. The demand for carers of dementia patients is growing as the population ages. We analyse serious games as an approach to provide dementia carers with training on care related problem solving and modelling real-world cases. We present the behaviour model of improved care process by applying serious games, describe the design of the interactive serious game, its game mechanics, game environment, game actors and the motivation reinforcement mechanisms. The results of the initial evaluation performed by surveying the people caring for their elderly parents and elderly persons themselves, both healthy and showing early signs of dementia, and using the System Usability Score (SUS) questionnaire provided favourable response to the game. The use of an ICT-based gamification approach as part the training package for dementia care will be beneficial for direct care workers leading to long-term improvement of dementia care quality.
A Decision Phases of a Supply Chain Management : A Proposed Decision Support System to Boost Organizational Decision Making
Authors: D.K. Attadjei Desmond , Madhwal Yash , Peter B. Panfilov Dr
Published: April 2019

A powerful and effective store network administration sires, a smooth running of a business, quality items or potential benefits, consequently escalating client trust and business picks up. To land at this phase in an association's business outgrowth, all rely upon the best choices that must be taken to move the correct way. These choices are normally aftereffects of past events and outside information that have been incorporated to give data or learning. For this reason, a decision support system is hereby proposed to be able to pool data from the 3 main decision phases of a Supply Chain Management, namely: (1) supply chain design (Strategy) phase, (2) decision in supply chain management (Planning) phase, and (3) operational level (Operation) phase. This proposed framework is pointed and boosting basic leadership process, by giving brought together data to help the hierarchical basic leadership process.
Technologies for restoring the OD matrix elements based on the results of processing video materials obtained from the quadcopters
Authors: R. Yakimov Mikhail
Published: April 2019

The article shows the technology of obtaining the initial data for modeling the movement of traffic and pedestrian flows on separate elements of the street-road network. The algorithm of automated calculation of traffic and pedestrian intensity based on the analysis of video data is given. The example of the city of Perm in Russia shows the technology of restoring the OD matrix elements based on the results of processing video materials obtained from the quadcopters.
Hybrid RF/visible light communication in downlink wireless system
Authors: D. Ponnimbaduge Perera Tharindu , Rajaram Akashkumar , Chedup Sangay , Nalin K. Jayakody Dushantha , Chen Bin
Published: April 2019

The spectrum crunch in Radio Frequency (RF) Communication and the prospect of Visible Light Communication (VLC) as an alternative to RF has made way for high speed VLC deployment. The ubiquitous coverage of RF and the high speed data rate achieved with VLC, make the two technologies complimentary to each other, making the hybrid RF/VLC an emerging trend in wireless networks. This study presents a downlink communication of a hybrid RF-VLC, where the signal received through RF channel by a relay is decoded and the symbols are converted into an electrical signals. The electrical signal is fed to an array of LEDs in the relay where data is transmitted in rays of light from LEDs. The hybrid RFVLC system performance is compared with a conventional RF system to understand the performance difference between the two communication models. Thus, the performance of both system models are analysed in terms of Symbol Error Rate and Outage Probability. Numerical results show that the proposed hybrid RF-VLC system is superior to conventional lone RF cooperative system.
Behavioral Simulation of ISO 18000-6 Type-C Class 1 Gen2 Protocol for RFID UHF Transponder and its Application as Anti-collision Protocol in Interference Case
Authors: Saadi Hadjer , Rnnane Ahmed , Touhami Rachida , C.E. Yagoub Mustapha
Published: April 2019

In RFID systems, the Transponder Protocol usually uses the standard ISO 18000-6 Type-C Class 1 Generation 2, originally developed to communicate with the reader. Since a typical RFID system could be used in a myriad of tasks from product identification to environmental sensing, behavioral software functionality and hardware cost constraints are extremely constricted, principally due to their ¶standard’s requirements.¶ Thus, in this paper, an advanced behavioral simulation of the Tag ID layer of ISO 18000-6 Type-C protocol is proposed with all its states, commands and functionality, a crucial step toward effective design and test. The approach was then successfully applied to collision issues in interference case.
Study on Disaster Recovery in Cloud Environment
Authors: K.Ravindranath Dr , Raghupriya N , Krishna Vamsi P , Sharath Kumar D
Published: April 2019

In Today's world information been produced in huge sum, which requires data recovery assistance. The cloud service providers give security to the client  regardless  of  the  possibility  that systems are down, because of disaster. A lot of private information is produced which is put away in cloud. In this manner, the need for recovery of data services are developing in an order and needs an advancement of an well-organized powerful data rescue strategies, when  information is lost in a disaster. The motivation behind recovery strategy to support client from gathering data from any alternate server whenever that server lost information and incapable to provide information to the client. On the way to accomplish the reason, numerous diverse procedures have been proposed. In circumstances like Flood, Fire, seismic tremors or any equipment glitch or any accidental deletion of information may never again remain accessible. The target of this recovery is to condense the intense data recovery procedures that are utilized as a part of cloud computing area. It additionally describes the cloud-based disaster recovery stages and recognize open issues identified with disaster recovery.
A Faith Organization Scheme Model for Cloud
Authors: Vijaya Kumar A , Hemanth Kumar K , Tajudeen J , Suresh C
Published: April 2019

IT Industries are rapidly migrating their businesses to the cloud architecture. The exponential change is because of elasticity and low-cost services offered by the cloud. The High-performance services offered at low price attract customers to run their businesses on cloud. Other side of the coin Faith on data privacy offered by the cloud is a key issue for every customer. Although the CSP ensure about the privacy and security of the user’s data, but the customer reliability on cloud is still low. This paper briefed the necessity of faith organization scheme, it overviewed various recent works done in this area. The comparative analysis enables us the scope to focus on the lacking of Faith organization on cloud. This paper focuses on various existing techniques "provable data possession" and "evidences of hopelessness" which are used to control this problem to some extent. They will generate static report records and because of this poor reality strong mentor. In addition, threat models in some unspecified time in the future of these plans frequently accept a genuine owner and offer thoughtfulness regarding an untrustworthy cloud task. We proposed a Faith organization scheme to keep customer data safe. This work explains proposed model of faith organization and discuss various open issues in the relative area.
A Survey of Nosql Database For Analyzing Large Volume Of Data In Big Data Platform
Authors: S.Raghav R , Amudhavel J , Dhavachelvan P
Published: April 2019

The massive improvement of data in the present era is drastically increased, where millions of data is emerging from variety of applications. Due to this massive flow of data the importance of data becomes a key factor in all applications. In old technology the space occupied by data is very less, but in the present scenario the value of every piece of data plays a vital role. The organization needs some new technology to process large amount of data in an effective way. For that purpose data exploration and visualization systems play a vital role in the Big Data era. It is a complex task for the companies to explore and visualize very large datasets. Every company should follow some protocol to have accurate insight from analysis of large volume of data. This strategy helps organizations to enhance their business functionalities and it also helps to identify the way to improve the quality of their products. The big data [25-29] contains some unique databases to handle massive volume of data. In this survey, we explain the characteristics of database and challenges. It also describes about the different techniques and tools currently used for handling large sets of data and their capabilities to support massive volume of data from variety of data sources.
A Survey on Analysis of Online Consumer Behaviour Using Association Rules
Authors: M.R. Narasingha Rao Dr , V.L Sita Ratnam K , D.S. Prasanth M , Lakshmi Bhavani P
Published: April 2019

In vogue the competitive world is searching for customer oriented approach. In order to accomplish that customer relation management (CRM) provides the services which meet the customer requirement. The requirements of a customer are collected in the form of data which is to be analyzed for obtaining customer behavior. Therefore inquiry is made to determine the characteristic features of a customer by using the data which is collected from different sources of all the online shopping sites. Data mining is a process of extracting useful information from the historical data. In this analysis the data of a online shopping website which is take from mechanical sector is tested by using some data mining algorithms like Apriori, FP-growth and Eclat algorithm of association rule mining. As a result of the study it is aimed to obtain frequent items purchased by the consumer by using the association results.
Accessing E-Commerce Through Social Media: Recommending Cold-Start Product Using Advanced Feature Mapping Method
Authors: T.Vijaya Saradhi Dr , Sai Vineetha V , Prathyusha J , Sai Teja K
Published: April 2019

As of late, the outskirts between electronic trade and informal organizations are deteriorating. Many e-commerce sites support social access mechanisms where users can log into sites utilizing their interpersonal organization accounts. Clients can also put their recently obtained products with correspondence to online business items on microblogs. In this article, we suggest another answer for a product of cold launch crossed, which aims to furnish clients of ecommerce sites with long range interpersonal communication locales in situations of "cold start" which have been studied very rarely. A great problem is how to gain influence through information long range interpersonal communication to offer cross-start basic products. We recommend that users use social networking websites and ecommerce websites as social networking capabilities on the map as a bridge on the map, another representation of product offerings. Specifically, we offer using user-generated and product-specific presentations of e-commerce sites that use regular neural networks and then use modified degraded trees to convert users' social network functions investments. We then develop a matrix factor approach based on features that can be used to invest in the cold start initiated by the user. The experimental results of China's largest microblogging service, SINAWEIBO and Jing Dong's biggest B2C ecommerce site have demonstrated the adequacy of the proposed scope.
Review on the Security Issues in Human Sensor Networks for Healthcare Applications
Authors: Rani Chintala Radhika , Rao M R Narasinga , Venkateswarlu Somu
Published: April 2019

Human Sensor Network (HSN) is an emerging technology that allows to remotely monitor, gather and maintain the information of patient’s health parameters using bio-sensors. The bio-sensors are either implantable or wearable or may be stitched on the clothes of a patient.The collected health information is processed and maintained in a database server. The information from the database can be accessed by the users such as doctors, health servants, government, insurance agencies and by the patient or his relatives. Since, the information collected is related to thepatient’s private health record, it is required to be safely stored and protected from an unauthorized access. Thus, Security and Privacy are the key issues in HSNs.In this paper, the infrastructure-based and adhoc-based communication architecture of HSN and challenges and measures of security and privacy issues have been reviewed.
Quick Identification of Specific Activity by Processing of Large-Size Videos Using Advanced Spotter
Authors: S.Hrushikesava Raju Dr , M.Nagabhushana Rao Dr , N.Sudheer Dr , P.Kavitharani Dr
Published: April 2019

Now-a-days, the most organizations are using cameras at all places in order to monitor the activities going in their daily works 24/7 type. The purpose of recording all activities is to provide security and safeness to the property of their organization, as well as to find out the thefts happened or to identify any odd behavior of person about the complained situation. In this context, It takes more time to watch the long length video in predicting the right entity. There were other methods which require witness of some persons and time of the day. It is a manual approach to check the scene in the video recorded. It is unreliable. The alternative approach proposed is usage of advanced spotter in which cameras with sensors were attached in all places. The benefits of this proposed study is automatic fixing of spot in the recording of the videos when the objects behavior is predicted beyond the normal level. Hence, this automatic approach helps to the organizations where less time taken to find out the odd scenes which are tracked by the advanced spotter.
Cost Estimation of the Models Using Harmony Search
Authors: T. Vijaya Saradhi Dr , Lakshmi Pravallika A , Manoj M
Published: April 2019

To estimate the cost of model accurately on which the software is functioning is one of the most important things in the software project. But due to the varying nature of the software, and complexity, accurate cost estimation of software has become difficult. Ascertaining the cost of the software at the beginning stage is helpful for designing the other activities of software development. Former estimation of the needed exertion to Creating programming need benefited the advancement acknowledging those provision about Meta heuristic streamlining calculations. These calculations need aid possibility and might a chance to be connected Likewise functional devices for programming expense estimation. In the recent times Meta- heuristic algorithms with high accuracy have brought a great improvement in the field of the software engineering. In this paper we have discussed about the one of the algorithm which help in software cost estimation which is Harmony Search.
Assessing Psychological Factors of a Student Through Concentration Game for Career Selection
Authors: Kantha Rao V , V. Chandra Prakash Dr , Jyothsana A , Sainadh T , Harshitha P
Published: April 2019

Psychological factors of a student helps in selecting the appropriate career for the student. The Expert System is designed to assess the psychological factors of a student, build a cognitive model and identify the most suitable career(s) for the student. In order to provide career guidance to a student by an expert system, it is necessary to assess various psychological factors of the student which include the speed, time taken, level of the game and by the number of clicks used. In order to assess these psychological factors of a student, the system asks the student to play the Concentration game a number of times. Basing on the scores obtained and some other factors by the student the system builds a cognitive model for the student. In this paper the main focus is to design a Concentration Game by assessing the psychological factors of a student for the career guidance of a student.
Secure Datasharing Using RS-IBE
Authors: V V Satya Narayana K , Neelimaa Ch , Subhash V
Published: April 2019

Cloud registering gives the greater part clear technique for information sharing, it gives different reductions of the clients. Be that straightforwardly outsourcing the imparted information to the cloud server will achieve security issues Likewise the majority of the data might hold numerous profitable noteworthy information.It is essential to put cryptographically raised get control on the imparted information, named character based encryption(IBE) should Fabricate An useful information imparting skeleton. At some user's commission will be expired, there must a chance to be an strategy that could erase him/her starting with those frameworks naturally. Consequently, those evacuated clients can't get both the past What's more ensuing imparted majority of the data. Thus, we present An idea called revocable-storage(RS)-IBE, which presenting those functionalities from claiming client disavowal Also CIO content redesign all the while. And Moreover, we need aid including security on login framework about admin Furthermore client by 2-step confirmation and also uploaded in cloud by AWS.
Optical density analysis of standard phantom for mammography quality control
Authors: Hwa Lee Mi. , Ryang Jung Hong , Hwan Lim Cheong , Soon Park Mi , Jeong Kim Ki. , Hun Jeung Sung
Published: April 2019

Background/Objectives: The objective of this study was to analyze optic density of dummy lesions in breast phantom by mammography and understand whether the objectivity of visual inspections on dummy lesions upon appropriate and inappropriate decisions was correct quantitatively.Methods/Statistical analysis: Study subjects were 165 phantom images in 74 hospitals nationwide that passed the test of special medical equipment by Korean Institute for Accreditation of Medical Image from May 2016 to April 2017. Min (A), Max (B), Mean (C), and StdDev (D) were measured using color level information. Fibers, specks, and masses divided dummy lesions determined as appropriate or inappropriate in 165 images. For each divided dummy lesion, Min, Max, Mean concentration, and concentration difference summarized it.Findings: There was a significant difference in Max concentration (B) between dummy lesions of 9 (specks 3) and 10 (specks 4). In dummy lesion 12 (mass 1), there was no significant difference by each step, although the deviation between black and white was high since the scope of lesion was big. Upon analysis of optic density divided by appropriate and inappropriate decisions, there were significant differences in concentration difference (D) for fibers, Min (A) and Max (B) concentrations as well as concentration difference (D) for specks, and Max (B) and Mean (C) concentrations with concentration difference (D) for masses.Improvements/Applications: Visual inspections appeared to have difficulty in analyzing lesions due to the ambiguity of quantitative differences. Further developments of quantitative programs are needed to replace visual inspection for breast phantom lesions in mammography.
Implementation of MCDM model in lean manufacturing using grey relational analysis in automotive industry
Authors: K Venkataraman , V. Sivaramakrishnan T , Murugan N , Deepankar D , Srinivasa Raghavan B
Published: April 2019

The present economic situation shows the consistent demand for profitable solutions that allow business organizations to gain better ad-vantage. Due to this reason, many organizations search for methodologies that allow them to improve their products and services improve their processes, reduce costs, and improve the profit and customer satisfaction. This has been implemented through lean techniques in their managerial and production methods. As we know Lean production system mainly emphasizes on the waste elimination, using simple and visual techniques. This paper is an attempt to optimize process layout and waste expulsion for automotive powertrain in a leading automo-tive company by using lean manufacturing techniques. In this paper, the existing process in place for machining of cam shaft is analysed and process layout is optimized to reduce cycle time and lead time. In order to reduce the cycle time, the process parameters such a speed, feed and depth of cut are optimized for increased material removal rate (MRR) and decreased surface roughness (RA) by using Grey Relational Analysis (GRA) technique. As MRR is inversely related to cycle time, optimization of parameters for higher MRR reduces the cycle time. Grey Relational Analysis is done by using Design Xpert software.
Highly sensitive-pin-accessibility for ATM using human body communication
Authors: Balamurugan M , Amarnath. J Jegan , Kumar Sahoo Pradeep , Anand M Suresh , Soorya C , . Subham , Sathyan D
Published: April 2019

Burglary of ATM have increased in recent days which led to the use of biometrics to get high level of security and accuracy. This paper defines a system that replaces the ATM cards and PINs by using a new technology. A system is proposed for secured transaction in ATM machine. The technology used in this process is called as Red-Tacton. This contains Transmitter and Receiver section which transmits the data’s through human body. Initially user needs to keep the fingerprint to access the ATM. The user must hold the transmitter module where the user’s password (PIN) is stored. When the user touches the receiver in ATM, pin is transferred from the transmitter to the receiver using human body as the medium. The temperature sensor used to detect the fire accident in the ATM activates the water pump motor to extinguish the fire. The MEMS sensor store the measurements of x-y-z axis of the ATM machine and used to find out if any theft in ATM or Vibration above the threshold level automatically shutter will be closed. Also the intimation is given via buzzer.
A study on design and implementation of dynamic location tracking system for locating remote control
Authors: Hyun Seo Sung , Hyun Ro Kwang
Published: April 2019

With the development of IoT technology, there is a growing demand for location based services for checking the mobility and identity of users, and remote controls for remote control of household appliances or electronic devices are used for home appliances or electronic devices there are many functions that are not available.In this case, when the remote controller is lost, there are difficulties in that a large number of home appliances or electronic devices can only be started by a limited operation or can’t operate various operations.Especially, many people are losing a lot of remote control in everyday life, and the problem of wasting a considerable amount of time in finding a remote control is also happening.In order to solve this problem, the present invention proposes a method of opening a remote control search application content, registering a unique product number assigned to the remote control, generating a location notification request signal for requesting the location information of the remote controller, And then displays the captured location or dynamic model detected from the location notification response signal on the basis of the indoor framing for 2D or the indoor framing for 3D, It will be able to quickly and accurately locate the remote control that emits the beacon signal. In other words, in this paper, the application contents for remote controller search are opened to register a unique product number assigned to the remote controller, a location notification request signal for requesting the location information of the remote controller, and a location notification response And then displays the captured spot or dynamic model detected from the signal on the beacon for 2D or the 3D model for 3D.In the future, the research method to be carried out is limited to grasp the object information only by the remote controller (one single article object), but it is difficult to quickly recognize the object information transmitted from various objects having mobility used in the home or work We plan to implement and design an algorithm that optimizes the received signal strength of the BLE beacon so that there is no loss of beacon signal in a room that is subject to better system and multipath effects.
A study on bus safety operation system applying IoT technology
Authors: Chul Kim Hee
Published: April 2019

Background/Objectives: It is a bus safe operation system applying IoT (Internet of Thing) technology. It is the starting point of future economic activitiessuch as past simple transportation methods and various information such as health care, wearable, IoT, We want to change the paradigm into service exchange space. Vehicle infotainment technology utilizes a bi-directional head-up display (HUD) interface technology to detect the wheel state of the steering wheel operation, which is the driver's operation behavior, and the pupil watching forward, and warns if momentary carelessness or continuous carelessness occurs, Avoid.Methods/Statistical analysis: Since the ratio of the eye area in the face area is very small, there is a possibility that the calculation time is greatly increased. In order to optimize the module, based on the analysis of the Korean face information, Thereby reducing the search time. Driver Monitoring System (DMS) developed by Toyota is an infrared camera module installed in front of the dashboard to monitor driver's eyelids and head movements during driving to determine driver's sleepiness.Findings: Based on the know-how of wireless communication-based healthcare device manufacturing technology, we can develop user-oriented products that can differentiate from the existing IoT healthcare products and develop wireless communication-based healthcare for large- We will develop a care terminal to secure marketability.Improvements/Applications: Developed commercial products focusing on the technology stabilization centered on the large transportation profession, obtained stable sensor information and obtained relatively accurate sensing information without inconvenience for long-term operation or work. Active braking assist is a fully automated control system that stops the vehicle when it detects the risk of a frontal collision. Using three radar beams installed in the vehicle, it detects up to 150m in front of the vehicle, helping to avoid the risk of a frontal collision.
A survey on internet of things: privacy with security of sensors and wearable network ip/protocols
Authors: Chowdhury Subrata , P. Mayilvahanan Dr
Published: April 2019

The paper gives the introduction of the IoT, which lay forward the capabilties to detect and link with the world wide web with the con-nectivity to connect this with the physical objects into a cognate systems. On the other hand some severe concers as the part of the IoT, are been highlighted over the passage gateways of critical personal informations relevants to device and personalized privacy.This survey will summerize and tries to highlight the core issues related to the security threats,and the privacy interest of the IoT.