bluuebunny/crossref_metadata_2025 huggingface dataset:
Identifying Gender From Images of Faces
Authors:   Saveetha School of Engineering (SIMATS), Chennai, Tamilnadu, India., Hussain J.M.D.Zakir , Bee M.K. Mariam ,   Saveetha School of Engineering (SIMATS), Chennai, Tamilnadu, India
Published: September 2019

The objective of this project is to identify the gender of a person by looking at his/her photograph. This is a case of supervised learning where the algorithm is first trained on a set of female and male faces, and then used to classify new data. We have not taken genders other than Male and Female into account. A preliminary algorithm is run to make sure that an image is that of a human before classification begins.
Hybrid Algorithm using the Advantage of Krill Herd Algorithm with Opposition- Based Learning for Dynamic Resource Allocation in Cloud Environment
Authors:   Dept of CSE, Research Scholar, JNTUA, Andhra Pradesh, India, Neelima P , Reddy Dr. A. Rama Mohan ,   Professor, Dept of CSE, SV University, Tirupati, Andhra Pradesh, India
Published: September 2019

The cloud computing systems have more consideration due to the growing control for elevated concert computing and data storage. Resource allocation plays a vital role in cloud systems. To overcome the obscurity present in resources allocation system. In this paper, we design and develop a technique for dynamic resource allocation. A Hybridized approach is designed with the help of multi-objective oppositional krill herd optimization algorithm (OKHA). It is a combination of the krill herd algorithm and Opposition-based learning (OBL), OBL is added to get enhanced performance of the krill herd algorithm. The objective of this hybridization is to reduce the cost. In this Hybridized process each task consists of two cost i.e monetary cost and computational cost. Here each task is divided into many subtasks and assigns the respective resources to it. Our proposed multi-objective optimization algorithm will decide allocation of resource for the each subtask in this process. Finally, the testing is passed out, we evaluate our proposed algorithm with PSO, and GA algorithm we verified the performance levels of our proposed Multi-objective optimization algorithm.
A Research in Key Generation Security and Accuracy of LIP Based Biometry
Authors:   Research Scholar, SIMATS, Chennai, Tamil Nadu, India., Pavithra S. , Muthukanna Dr.P. ,   Professor, Department of Electrical and Electronics, SIMATS, Chennai, Tamil Nadu, India.
Published: September 2019

Authentication is the key factor of badging the right person for access which enhances the security system in wireless communication. In this paper, an efficient way of authenticating a person is achieved by selecting a novel biometric feature as ―Lip‖. Series of image processing procedures are done to enhance the image features and also to fix the boundary values for corresponding pixels. A new filer termed as ―Weighted Triangular Filter (WTF)‖ is formulated to enhance the image features. Finally an 8 bit key is generated in lieu of biometric feature which is then used for encryption in wireless mode.
Symmetric Random Biometric Key (Srbk) Based Cryptography
Authors:   Research scholar, Saveetha Institute of Medical And Technical Sciences (SIMATS), Chennai, Tamilnadu, India, Pavithra S. , Muthukannan Dr.P. ,   Professor, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamilnadu, India
Published: September 2019

In this paper, we propose a novel cryptographic algorithm namely Symmetric Random Biometric key (SRBK) algorithm. The key for this SRBK algorithm is obtained from two biometric features namely ear and lip. The key generated are flexible and can be altered based on the type of algorithm used. We also consider Advanced encryption standard (AES)algorithm for comparison with SRBK algorithm and finally it was proved that SRBK algorithm is better than AES algorithm on selected parameters.
Identification and Diagnosis of Fault in Consistent Mixed Tank Reactor using Neural System
Authors:   Department of Electronics and Instrumentation Engineering, M. Kumarasamy College of Engineering, Karur, Tamilnadu, India., Gowthami R. , Aravindaguru I. ,   Test Analyst, IBM, Bangalore.,Karnataka, India., Hari V.M. ,   Test Analyst, IBM, Bangalore, Karnataka, India
Published: September 2019

The two horrible conditions ahead of time than the organizers worldwide are to diminish the stack at the conventional fills and to reduce the continually developing basic spoiling. This test is proposed to discover probably the execution of the DI diesel motor at various loads when fuelled with mixes of palm methyl esters and diesel. The primers have been pushed on a completely utilized diesel motor without changes. Every one of the appraisals were consistent usa of america and outfitted toward dependable pace. The impact of moving weight develop to be assessed the volume that brake warm temperature ability, mass flow rate, brake one of a kind gas use and fumes gas temperature. Exploratory impacts show that at complete weight conditions, the B-20, B-40and B-60 mixes bring 33.23%, 32.81%, 32.39% and 31.ninety seven% higher brake heat usefulness than sole diesel freely. It wound up confirmed that the brake warmth ability of palm biodiesel is higher than that of diesel, and it is a delayed consequence of the oxygenated atom of biodiesel which acknowledges total ingesting of the biodiesel fuel. In addition the mass development rate of biodiesel is evidently superior to anything that of diesel fuel; it is through method for exact capacity of the calorific estimation of biodiesel is a ton parcels less appeared in one another way as far as diesel gas. At the reason for results obtained from this test utilizing palm biodiesel as a fuel is proposed for the utilized as a piece of a diesel motor with diesel mixes.
Malicious Traffic Detection System using Publicly Available Blacklist’s
Authors:   Bachelor’s student,Electronics and Communication Engineering, Saveetha School of Engineering, Chennai, Tamilnadu, India, N Sudarshan , Dass P. ,   Assistant Professor, Electronics and Communication Engineering, Saveetha School of Engineering, Chennai, Tamilnadu, India
Published: September 2019

In this fastest growing technology with the increase in internet usage, the communication became much faster and easier which resulted in the massive growth in digitalization. With this the cyber crimes were increasing day-by-day . They employ every possible technique and trick to make the users as zombies for their malicious activities or Crypto mining. In recent years we are facing issues with ransomware’ which result in the loss of data integrity and confidentiality along with our privacy and anonymity. The malware’ can spread all over the network within no time. Using anti virus programs alone for safeguarding our network is a bad practice because they filter the traffic on signature based. Here problem is if the user is not up to date with the definitions from the AV provider, then he will be prone to the attack. In this model a system to track malicious trails in a network is done. This employs online malware detection system (Virus Total) and open source dynamic black lists which contain malware or suspicious programs along with some static pre compiled blacklists from different antivirus providers and our own definitions of block to filter the traffic which gives the detailed log report on the suspicious trails, this is from domain name or IP address or malicious scripts in the webpage.
Sparse Bilateral Denoising for CT Scan Images with Edge Preservation
Authors:   Department of ECE, SRMIST, Chennai, Tamilnadu, India, N Veni , J Mnjula ,   Department of ECE, SRMIST, Chennai, Tamilnadu, India, Maik Vivek ,   Department of ECE, SRMIST, Chennai, Tamilnadu, India
Published: September 2019

Denoising in CT images using bilateral with sparse representation is presented in this paper. Artifacts occurs in images when an X-ray penetrates the thick objects like bones, implanted organs, surgical clips etc.,. Due to these artifacts in images , the quality of artifact pruning algorithms will be diminished. In order to preserve the image quality as well as edge details, a bilateral filter along with sparse representation is proposed to reduce the noises. The proposed technique is applied to CT humorous bone image and has achieved the better PSNR of 22dB approximately for 512 x512 image as compared to bicubic filter. The simulated real datasets are used to quantitatively evaluate the noise. Moreover the proposed denoising approach can outperform the latest approach in terms of fidelity
A Three Layer Privacy Protective Cloud Storage Theme Supported Procedure Intelligence in Fog Computing
Authors:   PG Student, Computer Science and Engineering, Vivekananda College of Engineering for Women, Tiruchengode, India., Rathna S. , Shanmugavalli V. ,   Assistant Professor, Computer Science and Engineering, Vivekananda College of Engineering for Women, Tiruchengode, India., Kumar Dr.S.Suresh ,   Professor, Computer Science and Engineering, Vivekananda College of Engineering for Women, Tiruchengode, India.
Published: September 2019

With the dangerous development of unstructured data, distributed storage innovation gets a great deal of consideration and higher advancement. Nonetheless, in current stockpiling pattern, client's data is totally held in cloud servers. In various words, clients lose their privilege of the executives on data and face security departure hazard. Old security assurance plans square measure now and again upheld encoding innovation, anyway these assortments of systems can't successfully oppose assault from the cloud server. To determine this downside, have a will in general propose a three-layer stockpiling system upheld haze figuring. The arranged system will each exploit distributed storage and shield the protection of information. Moreover, Hash-Solomon code equation is intended to isolate data into totally various components. At that point, we can put a little low a piece of data in local machine and mist server to shield the security. In addition, upheld process insight, this equation will figure the appropriation extent held in cloud, mist and local machine, severally. Through the hypothetical wellbeing examination and exploratory investigation, the practicality of our subject has been substantial, that is fundamentally a hearty enhancement to existing distributed storage topic is the observer of the ongoing years distributed computing innovation.
IoT Based Smart Monitoring System for Fish Farming
Authors:   P.G. Scholar Department, of Computer Science and Engineering, Vivekanandha College of Engineering for women, Tamilnadu, India., Ramya A. , Rohini R. ,   Associate Professor, Department of Computer Science and Engineering, Vivekanandha College of Engineering for Women, Tamilnadu, India., Ravi S. ,   Senior Lecturer, Botswana International University of Science and Technology, Botswana.
Published: September 2019

The purpose of the current method is to create a safe and secure that helps the fish pond owners and aquatic planters in producing high quality fish by maintaining normal water levels in the fish tank. The flow of the low or high water in the fish pond will solve the long-term problem of killing fish in a fish tank. Each water quality can affect the health of animals alone. The flow of water on fish ponds discusses how every day should be monitored. This should ensure quality by handling the PH, membrane, temperature, ammonia etc. It is a symbol of good quality water quality standards and poor water quality pools and how it should be upgraded. It is recommended that a prerequisite to increase production by ensuring sustainable fresh quality, and consequently, priority should be given priority. Therefore, water quality parameters maintain balanced positions, culture is the basis for the health and development of living organisms. It is recommended to monitor and evaluate water quality parameters on a regular basis
Physical Environment of a Coffee Shop Analysis of Future Customers Expectation Views
Authors:   Faculty of Architecture and Ekistics Universiti Malaysia Kelantan, 16300 Bachok, Kelantan, Malaysia School of Design, DongSeo University, Muhammad Siti Aisyah , Lee Sung Pil ,   School of Design, DongSeo University, 47 Jurye-ro, Jurye 2(i)-dong, Sasang-gu, Busan, South Korea
Published: September 2019

Customer satisfaction is very important in business world to gain loyalty and revisited customers. This paper aims to study the customer perceived experience as the first time visitor to a coffee shop related to their expectation and satisfaction in two coffee shops in namely in Seomyeon, Busan, South Korea. The methodology apply interviews, surveys and analysis using Semantic Differences and AMOS 22. The findings shows that the customers usually have been introduced about the coffee shop through social media network influenced by the reviews and viral comment. The first time customers also were not coffee lovers but the physical environment explorers or the social media influencers. The components of the physical enviornment consist of the facility aesthetic, lighting, ambience, layout, service product and social factors. The taste of the food and beverages was not the main priority for the customers to decide about revisiting the coffee shop. Customers also willing to recommend to others if they were satisfied with the services provided. The results also examined that cultural context influenced the preferences in selecting and revisiting the coffee shops.
Generation of Heat Transfer Coefficient Data in Regenerator for Stirling Cycle Refrigeration System
Authors:   Ph.D. Scholarin Mechanical Engineering, Nagpur University, Maharashtra INDIA., Wadaskar Narendra .N , Choudhary Dr S.K. ,   Prof.in Mechanical Engg Depto f K.D.K College of Engg, Nagpur, Maharashtra, INDIA., Askhedkar Dr R.D. ,   Ex-Principal K.D.K College of Engg, Nagpur, Ex-Professor V.R.C.E Nagpur, INDIA.
Published: September 2019

This paper attempts to generate the data of heat transfer coefficient for regenerator in stirling cycle refrigeration system on the basis of available experimental data. The available data is based on assumption that the mode of heat transfer in regenerator is conduction. This data does not produce optimal design of regenerator. Heat transfer coefficient must be modified to account for heat transfer in a regenerator by all three modes i.e conduction, convection & radiation. The data for heat transfer coefficient is generated on the basis of experimental results available in literature of performance of various stirling cycle refrigeration systems with different designs of regenerator. These models can be used to predict the performance of stirling cycle refrigerator system on the basis of dimensions of regenerator. The models are validated and optimized. This paper also presents the effect of variations in regenerator dimensions i.e. regenerator length, regenerator diameter, wiremeshsize, wire mesh arrangement, and wire mesh materialonHeat Transfer coefficient of regenerator.This data for heat transfer coefficient for regenerator of Stirling cycle refrigeration system can be used for optimizing design of regenerator of stirling cycle refrigeration system or predicting performance of stirling cycle system accurately.
Minimizing the Security Risks in Hybrid Cloud Networks with the Aid of Optimal Triple Data Encryption Standard Algorithm
Authors:   Mewar University, Chittorgarh – 312901, Rajasthan, India., Gupta Subhash Chand , Kumar Vikas ,   Chaudhary Bansi Lal University, Bhiwani – 127021, Haryana, India.
Published: September 2019

Security is one of the challenging problems in the hybrid cloud, because of the combination of private and public cloud. A novel algorithm has been presented in this paper, to secure the hybrid cloud networks during information storage and recovery. The algorithm consists of four modules: (i) data collection module, (ii) data de-duplication module, (iii) encrypted de-duplication module and (iv) user interface module. Initially, the document is collected using the data collection module and duplicate data is removed using the matching score mechanism. This de-duplicated data is encrypted using the Optimal Triple Data Encryption Standard (OTDES). To enhance the performance of TDES, oppositional monarch butterfly optimization algorithm (OMBOA) is used in hybrid combination with TDES and this is referred as OTDES. This encrypted data is then stored on the cloud. The stored information can be accessed through the user interface module. Performance evaluation of the proposed security system has been carried out on the basis of different evaluation metrics and have been found in good order.
Heat Transfer Analysis and Performance Measurements of Hollow Pin-fin in Natural Convection
Authors:   Assistant Professor in the Mechanical Department, Pimpri Chinchwad College of Engineering, Pune-411 044, India, Ladekar Dr. Chandrakishor L. , Choudhary Dr. Sanjeo. K. ,   Professor in Mechanical Engineering Department, KDK College of Engineering, Nagpur-411 044, India,
Published: September 2019

The Fin act as dissipiating elements, selection of proper geometry plays crusial role in increasing the rate of heat transfer and performance of the system. This work has been undertaken to investigate and compare thermal performance of solid and hollow pin-fin. Heat transfer analysis of solid and hollow pin fin carried and the results was compared with the experimental results. experiment was conducted to analyze the natural convection around solid hollow pin fin, and compare thermal performance of hollow pin fin with the solid pin fin of same dimension and orientation. The experimental result of temperature distribution shows that the faster temperature drop along the length. The high value of convective heat transfer in the initial phase due to which faster temperature drop takes place. Convection is found to be dominating due to less area for conduction along the length. Theoretical value and experimental value are close to each for temperature distribution as well the convective heat transfer coefficient. Efficiency is reduced in the case of hollow fin but the effectiveness of the hollow pin fin is increased by 1.76 times from an economical point of view, holoow pin fin is more efficient solution.
English Renaissance Drama: Status of Women in “The Duchess of Malfi”
Authors:   A teacher of Bukhara State University, Uzbekistan., Razzakovna Ochilova Mekhriniso , Bakoevna Qodirova Zaynab ,   A teacher of Bukhara State University, Uzbekistan.
Published: September 2019

Renaissance dramas mostly illustrate gender relations and women’s complex roles of empowerment. Writers of that time examined the social issues of this day through dramas that usually featured a strong female character at the centre of the play, societal issues such as the stereotypical role of the female, elements of class-consciousness, and the role of faith in a patriarchal society. Analysis of literature in this type gives the researchers much pressure to reveal real situations of that period. The main topic of this article is to analyze John Webster’s “ The Duchess of Malfi”.
Homomorphic Encryption – Need of the Hour
Authors:   Department of Information Technology, Amity University, Sector – 125, Noida, Uttar Pradesh, India., Sharma Dakshita , Sharma Dr. Purushottam ,   Department of Information Technology, Amity University, Sector – 125, Noida, Uttar Pradesh, India., Deep Mr. Vikas ,   Department of Information Technology, Amity University, Sector – 125, Noida, Uttar Pradesh, India.
Published: September 2019

Every common day the headlines of the newspaper are buzzed with data leaks and mobbing of data. The hackers are considering human just as a moving data. As the technology is advancing, we are more prone to cyber-attacks. With the ease of advancement there are certain cons which are approaching towards us. To protect the individuality of a human being, few governments of different countries have taken a step ahead to demoralize the illegal access to data hence inhibiting security. Homomorphic encryption is the trend or technique by which data can be protected as the encryption is done on the ciphertext. In this paper different types and techniques of homomorphic encryption is discussed. The techniques provide a secure environment for data to run on any application.
Recent Trends in Happiness Research
Authors:   Research Scholar, Department of Human Development and Childhood Studies, University of Delhi, New Delhi, India., Narula Aprajita , Kalra Dr.Mani Bhasin ,   Associate Professor, Department of Education, Lady Irwin College, University of Delhi, New Delhi, INDIA.
Published: September 2019

Happiness is a subjective term conceptualized in varied ways by individuals and across disciplines. However, how it comes to be understood in reference to the educational context can provide directions for future endeavors in increasing student happiness, or well-being, the terms often used interchangeably. The term well-being, nonetheless, has gained more prominence owing to a broader spectrum of features it encompasses. The discipline of positive psychology which has received eminent advancement in recent times has offered a plethora of approaches to improve well-being of individuals. The VIA classification of strengths by Christopher Peterson and Martin Seligman (2004), offers a framework of 24 positive traits condensed further into 6 virtues, emphasizing employment of simple strategies to foster inherent strengths possessed by individuals in varying degrees, for accomplishing a greater sense of well-being. This review paper, examines the empirical evidence of the influence of various strengths and virtues as delineated in the VIA classification of strengths and other positive psychology interventions on well-being. The impact of various intervention studies with school and university students is also looked at. Evidence has revealed correlation between positive psychology interventions on strengthening character strengths and student well-being across cultures. Simple intervention strategies, such as practicing gratitude, mindfulness and social skills enhancement exercises led to decrease in negative affect and increased levels of positive affect and life satisfaction. Further, as it may be aptly believed that for any school-based intervention to reap benefits in a sustainable manner, the role of teachers cannot be undermined. The paper attempts to highlight the role of teachers in advancement of student well-being, their conceptualization, attitudes and their own sense of well-being which has a bearing on their classroom management styles as evidenced in research.
Rural Telecom Services: Marketing Issues and Experiences in West Bengal Market Prospective
Authors:   Research Scholar, Department of Management, IIT (Indian School of Mines), Dhanbad, Singh Abdhesh Kumar , Pathak Dr. Prof. Pramod ,   Research Supervisor, Department of Humanities & Social Sciences/Management, IIT (Indian School of Mines), Dhanbad, Singh Dr.Prof. Saumya ,   Research Supervisor, Department of Humanities & Social Sciences/Management, IIT (Indian School of Mines), Dhanbad
Published: September 2019

The knowledge of Rural Marketing in Indian Economy has continuously played an important role in the existence of individuals. The rural market in India contributes larger revenues in the nation, as the rural areas contain most of the consumers in this country. Indian RuralMarketing has always been tough to do area and comprise of uniqueness. Though many enterprises were effective in influencing the rural markets, they captured the market with appropriate innovative marketing moves. As two-third of Indian population resides in rural areas, the market is massive for the businesses to be present and effective in all rural markets. They have to carry out few experiments in areas such as pricing and supply chain. The current paper intends to know the marketing issues and experiences in Indian market. The foremost aim of this study is to notice the potential of Indian rural markets and finding out several difficulties being faced by rural markets.
An Outlook of Financial Inclusion with Mediating Effect of Direct Benefit Transfer in LPG Subsidy towards Actual Usage of Banking Technology
Authors:   Assistant Professsor, Department of Business Administration, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Pallavaram, Chennai, Bhuvana Dr. M. , Vasantha Dr. S. ,   Professor, Vels University, Department of Management Studies, Chennai
Published: September 2019

Objectives: RBI has defined financial inclusion as the process of facilitating financial services to the people from the weaker sections in the society at an affordable cost. This study empirically investigates the role of Information and Communication Technology to achieve financial inclusion in the district of Tirupur. This study took technology based financial inclusion in banking sector such as mobile banking, internet banking and Automated Teller Machine to know its frequency of usage among rural people in the district of Tirupur. Further study was conducted to identify the factors affecting the access and reasons for hesitation towards access. The study also identified the mediating effect of Direct Benefit Transfer in LPG Subsidy towards Actual Usage of Banking Technology Methods: The study has adopted Technological Acceptance Model (TAM) for building the conceptual model. Primary Data for the study has been collected from the rural villages of Tirupur District. The data has been analyzed through SPSS 21 and the proposed model has been empirically tested using Structural Equation Modeling (SEM) through AMOS 21. Findings: From this study it is found that Automated Teller Machine is frequently used by 78.2% of the rural respondents. Direct Benefit Transfer in LPG Subsidy, to the rural people was found to be partially mediating the actual usage of banking technology by rural people. Through the Structural Equation Modeling it was found that there exists a cause and effect relationship between the study variables. Novelty: Prior studies have focused on only banking technological acceptance among the customers. The present study has measured the actual usage of banking technology and also studied the effect of Direct Benefit Transfer in LPG Subsidy on it. This is the major contribution to the existing literature in the field of financial inclusion.
Mobile Phosphorus a nd Exchange Potassium o f Typical Black Soil i n Long Term u se o f Arable Land
Authors:   Candidate of Agricultural Sciences (Ph.D.), Research Officer, Belgorod Federal Agricultural Research Center of RAS, P. Karabutov A. , S.I Tyutyunov ,   Doctor of Agricultural Sciences (Advanced Doctor), Director, Belgorod Federal Agricultural Research Center of RAS, D. Solovichenko V. ,   Doctor of Agricultural Sciences (Advanced Doctor), Heads of Laboratory, Belgorod Federal Agricultural Research Center of RAS
Published: September 2019

The influence of crop rotations, soil treatment methods and fertilizers on the content and balance of mobile phosphorus and exchange potassium in black soil was tested. Over the 25-year period of typical black soil use the content of mobile phosphorus increased not only under the influence of fertilizers, but also without them. The greatest impact was made by fertilizers, less significantly by crop rotations and methods of basic soil treatment. An increase in the content of mobile phosphates is observed among the tested crop rotations in grain fallow row, and from the methods of soil treatment – for small-scale processing. For five rotations of crop rotations without fertilizers, there were no significant changes in the content of exchange potassium; it remained at the level of increased security. Mineral fertilizers in double doses against the background of manure increased the content of exchangeable potassium to a high level of security. The saturation of crop rotations with row crops, as well as the use of plowing increases the content of exchangeable potassium, but to a lesser extent than fertilizers. The intensity balance of phosphorus is changed by the rotation of the crop rotation unevenly, which is associated with the magnitude of crop yield and, consequently, the removal of this element. At the same time, the general pattern of correspondence between the increase in the intensity of the balance with the increase in fertilizer application remains. Positive balance of potassium is provided only at double doses of mineral fertilizers. Manure creates a balance intensity of only 39%, which is 2.6 times less than fertilizers. Application of N42-62P62K62 against the background of 16 t/ha of manure leads to an increase in the balance intensity of more than 80%.
Effect of online Shopping in Local Market of India
Authors:   Professor, GRD Institute of Management, Coimbatore (Tamil Nadu), India., Ramachandran Dr. K K , Karthick Dr. K K ,   Professor, PMR Institute of Technology, Chennai (Tamil Nadu), India.
Published: September 2019

Marketing and shopping is hobby of most of individuals. Everyone likes to go for shopping. Now-a-days, there are many method of shopping’s. The malls are available in cities. At one place, individuals’ can get all kinds of items from buying vegetables to clothes, footwear, accessories, to furniture, electronic gadgets etc. It needs to go outside the home to purchase the things. It requires time as well as physical efforts. Therefore, online shopping in new terms of shopping. Online shopping has made easy way of shopping. In India, it has made shopping easy for each person. The best things online shopping is that it has done is to realise everyone’s vision about shopping at enormously cheap rates. It is very convenient to all, from doorstep delivery to great exchange return policies. The current paper is an attempt to focus on the effect of online shopping to Local Market of India.
Emotional Intelligence and Its Impact on Psychological Contract of it & Its Employees
Authors:   Assosciate professor, Jain (deemed to be) university, Jayanagar, Bengaluru., Rathi Dr. Renu , S Dr. Usha ,   Assistant professor, Jain (deemed to be) university, Jayanagar, Bengaluru
Published: September 2019

In the present environment of economical state, managing the psychological contract of an employee has become very significant and is considered as the company’s most profitable asset and valuable resource. The psychological contract includes strong understandings and solid agreements between organization and its workers, beyond the written contract, determining their commitments, expectations, beliefs, promises, and obligations between both parties. The motivation behind this study is to analyze the relationship between the psychological contract and emotional intelligence. The descriptive research design is used for the present work. A convenient sampling has been used to collect the data. The participants in the survey are 246 employees engaged in IT & ITes organizations in Bangalore. The tool used for job satisfaction and psychological contract are two self-formulated questionnaires. After the analysis, we conclude that psychological contract is affected by the emotional intelligence. Some of the suggestion based on the study is also presented in this paper.
Big Data Analytics and Intelligence: A Perspective for Health Care
Authors:   Department of Computer Science, Kristu Jayanti College, India., A. Muruganantham , Nguyen Phong Thanh ,   Department of Project Management, Ho Chi Minh City Open University, Vietnam., Lydia E. Laxmi ,   Vignan’s Institute of Information Technology (A), Department of Computer Science and Engineering, Visakhapatnam, Andhra Pradesh, India., Shankar K. ,   Department of Computer Applications, Alagappa University, India., Hashim Wahidah ,   Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia., Maseleno Andino ,   Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
Published: September 2019

The term big data refers to a group of large and vast amount of data collected from many research organizations, hospitals and scientific organizations which can be available for the healthcare. Such big data have potential for improving in the research in healthcare. The big data helps to analyze the clinical datasets and provides the key insights for the patients care. Such data can be analyzed by several multidisciplinary methods. The big data and intelligence model also helps to provide support in taking recommend action and make the decision making model more strong. The Healthcare medical artificial intelligence system mainly uses a computer software to perform the health and clinical diagnoses and suggest the proper treatments. Predictive analysis is also the most important part of Big Data Analytics which use datasets and historical data to make the predictions about the disease. But such predictions results may vary for person to person. Every person have different immunity power, so an detailed research may help to lead better results. There are many techniques and algorithms are available such as PPDM, Machine Learning, Data Mining Algorithms, Artificial Intelligence etc. In this research it is studied that how health care data can helps patients in predicting diseases and improve the treatment
Sentiment Analysis for Amazon Products using Isolation Forest
Authors:   Universitas Sumatera Utara, Medan, Indonesia., Salmiah S. , Sudrajat Dadang ,   STMIK IKMI Cirebon, Indonesia., Nasrul N. ,   Universitas Halu Oleo, Indonesia., Agustin Tuti ,   Department of Civil Engineering, Faculty of Engineering, Sebelas Maret University, Indonesia., Harani Nisa Hanum ,   Applied Bachelor Program of Informatics Engineering, Politeknik Pos Indonesia, Indonesia., Nguyen Phong Thanh ,   Department of Project Management, Ho Chi Minh City Open University, Vietnam.
Published: September 2019

To text examination for efficiently recognize, evaluate, study full of affective states, extricate use of normal language preparing is known as Sentiment Analysis. The applications in which use advertising to client administration to clinical drug like applications use sentiment analysis on the web and web-based social networking, human services materials and audits and study reactions. Many sites like Amazon urged users to post the review of the product on its site. But Amazon provides the limit of content to post the reviews. For different applications the review helps to analyze the product although the review for several products will different. This research works on the data that is recovered from Amazon and apply and expand the present work in the field of sentiment analysis and natural language processing. The work uses Machine Learning algorithms and characterize into positive or negative surveys.
Multigroup Classification using Privacy Preserving Data Mining
Authors:   Faculty of Tarbiyah and Teacher Training IAIN Sultan Amai Gorontalo, Indonesia, Erwinsyah Alfian , Chin Jacky ,   Mercu Buana University, Indonesia., Palalloi Irfan A. ,   Universitas Sulawesi Barat, Indonesia., Nguyen Phong Thanh ,   Department of Project Management, Ho Chi Minh City Open University, Vietnam., Shankar K. ,   Department of Computer Applications Alagappa University, India.
Published: September 2019

Getting the useful and important data from a huge amount of information is known as data mining. It is a prominent field for search and research of data. To improve the communication between customers and organizations data mining is used. Preserve the private data is very necessary in data mining. It is the issue on which research developed their research in many different ways. For protecting the survey privacy and to avoid the bias answer the randomized response technique was developed. To prevent the data of the survey certain randomness will add with the answers. To improve the privacy level of the preserve data this research use multigroup methods. In this approach all the survey answer divided in multiple groups and then. For different groups data should randomize differently. Based on this multiple groups the decision tree used to classify the data. One group, two group and three group’s techniques used to preserve the data.
Online Games, Brain and Communication Ability
Authors:   College of Teacher Training and Education PGRI Bandar Lampung, Lampung Indonesia., Harjanto Ambyah , Hidayat Nurdin ,   College of Teacher Training and Education PGRI Bandar Lampung, Lampung Indonesia,Indonesia., Tanod Mareyke Jessy ,   College of Teacher Training and Education PGRI Bandr Lampung, Lampung Indonesia,Indonesia., Wahyudi Apri ,   College of Education Pringsewu, Lampung, Indonesia., Irawan Dedi ,   College of Education Pringsewu, Lampung, Indonesia., Nguyen Phong Thanh ,   Department of Project Management, Ho Chi Minh City Open University, Vietnam., Lydia E. Laxmi ,   Vignan’s Institute of Information Technology (A), Department of Computer Science and Engineering, Visakhapatnam, Andhra Pradesh, India., Shankar K. ,   Department of Computer Applications, Alagappa University, India.
Published: September 2019

This study outlines the literature relevant to the effects of online games issues and the positive and negative effects of online games on child brain and communicative ability. Recent study, online games are now increasingly used for purposes other that entertainment. These games play on role in fields as diverse as education, cognitive training, physical exercise, and rehabilitation. Using games, which is communicative essence are often considered effective in developing child communicative ability. In this review, the result from the literature review indicate a number of gaps in the present framework. As a result, can guide teachers and parents to be able to know the processes that occur in the online game for child.
Hash Based Co-Operative Method To Handle Sybil Attack Sequences In Vehicular Ad Hoc Networks
Authors:   Professor Malla Reddy Engineering College For Women Hyderabad, Telangana, India, Kumar B.V.S.P.Pavan , Sharma Dr. S.S.V.N. ,   Professor, Vagadevi Engineering College, Warangal.Telangana, India
Published: September 2019

Vehicular without any preparation arrange (VANETs) being stretched out to depict kept up for traffic control systems, stay away from misfortune oriented_ information relations, stopping and information correspondence in remote structure structures. Protection and security are generally two _concerns in vehicular _ad hoc systems. Dreadfully, _VANET have absolute best _privacy safeguarding ways to deal with oversee fragile Sybil assaults, where a malignant client can be familiar and indicate with be different vehicles. VANETs by making hallucination organized traffic deter. So that in this paper, we propose and develop Hash based Co-operative and Cryptographic Approach to handle Sybil attacks. This approach consists statistical approach to identify and verify vehicle information (id, ip address and where it is from and other details) and develop HMAC (Hash based Message Authentication Codes) encryption approach to detect Sybil attacks from forgery oriented attack sequences. Finally based on US map data available in VANET basic security web site, we generate different simulations to evaluate efficiency and feasibility of proposed approach. Our schema supports Sybil attacks detection without any support of outside positioning environment. Our experimental results show efficient result communication over detection of Sybil attacks in wireless network communication.
Secured Data Transmission in VANET Using Vehicular Digital Hash Gen Model
Authors:   Professor/Dept. of CSE, St. Peters Engineering College, Hyderabad, Telangana, India., Rangasamy Rajasekar , Shaheen H ,   Professor/Dept. of CSE, St. Peters Engineering College, Hyderabad, Telangana, India.., Sreenivasulu T. ,   Professor/Dept. of CSE, St. Peters Engineering College, Hyderabad, Telangana, India.., K Nartkannai. ,   Professor/Dept. of CSE, St. Peters Engineering College, Hyderabad, Telangana, India.
Published: September 2019

Vehicular adhoc structures (VANETs) handle the Public Key Infrastructure (PKI) and Certificate Revocation Lists (CRLs) for their security. In any PKI structure, the check of a got message is performed by checking if the check of the sender is joined into the current CRL, Verifying the reliability of the certification and standard for the sender. In this paper, it has been propose a Vehicular Digital Hash Gen show up (VDHG) for VANETs, which replaces the dull CRL checking process by a profitable revoking checking process. The renouncing check process in VDHG uses a Private Key Infrastructure (PKI), where the key used in finding the VDHG is shared particularly between On-Board Units (OBUs). In like manner, VDHG uses a novel probabilistic key stream, which extras with OBUs to trade and revive an issue key. VDHG can on a very basic level lessen the data torment in light of the message declaration deferral pulled back and the standard assistance structures using CRL.
Semantic Indexing and Concept Based Methods for Ontology Based Information Retrieval using Dbpedia
Authors:   Assistant Professor, Department of Computer Science and Engineering BIET, Hyderabad, Telangana, India., Priya P.
Published: September 2019

Web contains immense extent of records. It is helpful for the clients who need to look through data with respect to direction, business, redirection, remedial organizations, topography, and so forth... Looking through such data is essential utilizing particular web records yet looking through obvious data which is required is a horrible errand. This can be developed by semantic pursue which means hugeness or thought based intrigue. In the proposed work, thinking is made utilizing the parts and the properties of the substances. An introspective philosophy based data extraction framework is sorted out which is unequivocal to soccer district. Utilizing the crept data from DBPedia, the perspective is made and the OWL files are populated. Semantic mentioning is then performed on these reports. At long last the mentioning results and the perspective are mapped and the outcomes are appeared to the client dependent on the arranging performed utilizing two segments 1) Frequency of watchword and 2) huge inquisitive words. The introduction of the proposed framework is assessed against the present structures.
Application of Reverse Vertex Magic Labeling of a Graph
Authors:   Department of Mathematics, School of Advanced Sciences,Vellore Institute of Technology, Vellore , Tamilnadu, India., Basha.S* Sharief , Raju. U Masthan ,   Asst. Professor, Department of Mathematics, Rayalaseema University, Kurnool, Andhra Pradesh, India.
Published: September 2019

Graph labeling is a currently emerging area in the research of graph theory. A graph labeling is an assignment of integers to the vertices or edges or both subject to certain conditions. If the labels of edges are distinct positive integers and for each vertex the sum of the labels of all edges incident with is the same for every vertex in the given graph, then the labeling of the graph is called magic labeling. There are several types of magic labeling defined on graphs. In this paper we consider vertex magic labeling and group magic labeling of graphs as an application of magic labeling. We solve a problem of finding number of computers/workstations to be allocated to each department in a company under certain conditions.
A System Emulation for Malware Detection in Routers
Authors:   VNU University of Engineering and TechnologyInstitute of Informatics, Hanoi, Vietnam., Phu* Tran Nghi
Published: September 2019

Nowadays, there are many discussions on the fourth industrial revolution with a combination of real physical and virtual systems (Cyber Physical Systems), Internet of Things (IoT) and Internet of Services (IoS). Along with this revolution is the rapid development of malicious code on IoT devices, leading to not only the risk of personal privacy information leaking but also the risk of network security in general. In this paper, we propose C500-toolkit, a novel tool for malware detection in Commercial-off-the-shelf routers, based on dynamic analysis approach. The main contribution of C500-toolkit is to provide an environment for fully emulating router firmware image including both operating system and web-interface. To show the advantage of C500-toolkit, experiments of this tool with embedded malwares Linux/TheMoon and Linux/Mirai are presented.
Prognosis of Chronic Renal Syndrome by Classification and Progression Using Temporal Abstraction
Authors:   Professor of Anna University, Chennai, Arputharaj* Kannan , Sampath Priya ,   MTech (Information and Technology), 2016 – 2018, College of Engineering Guindy, Anna University, Chennai
Published: September 2019

Chronic renal syndrome is defined as a progressive loss of renal function over period. Analysers have make effort in attempting to diagnosis the risk factors that may affect the retrogression of chronic renal syndrome. The motivation of this project helps to develop a prediction model for level 4 CKD patients to detect on condition that, their estimated Glomerular Filtration Rate (eGFR) stage downscale to lower than 15 ml/min/1.73 m². End phase renal disease, after six months accumulating their concluding lab test observation by assessing time affiliated aspects. Data mining algorithm along with Temporal Abstraction (TA) are confederated to reinforce CKD evolvement of prognostication models. In this work a inclusive of 112 chronic renal disease patients are composed from April 1952 to September 2011 which were extracted from the patient’s Electronic Medical Records (EMR). The information of chronic renal patients are collected in a big spatial info-graphic data. In order to analyse these info-graphic data, it is significant to detect the issues affecting CKD deterioration and hence it becomes a challenging task. To overcome this challenge, time series graph has been generated in this project work based on creatinine and albumin lab test values and reports of the time period. The presence of CKD diagnostic codes are transformed into default seven digit default format of International Classification of Disease 10 Clinical Modification (ICD 10 CM). Feature selection is performed in this work based on wrapper method using genetic algorithm. It is helpful for finding the most relevant variables for a predictive model. High Utility Sequential Rule Miner (HUSRM) is used here to address the discovery of CKD sequential rules based on sequence patterns. Temporal Abstraction (TA) techniques namely basic TA and complex TA are used in this work to analyse the status of chronic renal syndrome patients. Classification and Regression Technique (CART) along with Adaptive Boosting (AdaBoost) and Support Vector Machine Boosting (SVMBoost) are applied to develop the CKD in which the progression prediction models exhibit most accurate prediction. The results obtained from this work divulged that comprehending temporal observation forward the prognostic instances has escalated the efficacy of the instances. Finally, an evaluation metrics namely accuracy, sensitivity, specificity, positive likelihood, negative likelihood and Area Under the Curve (AUC) are helps to evaluate the performance of the prediction models which are designed and implemented in this project.