bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of Stock Price Movements using Monte Carlo Simulation
Authors:   Professor, School of Management, Sri Krishna College of Engineering and Technology, Coimbatore, Nagarajan* Dr.K. , Prabhakaran Mr. J. ,   Assistant Professor, School of Management, Sri Krishna College of Engineering and Technology, Coimbatore
Published: October 2019

Monte Carlo Simulation depends on random behaviour of events. When a variable takes values at random and becomes highly unpredictable due to its nature of randomness, the property of random numbers is made use of for predicting the future values that the variable may take. This property can be made use of for predicting share price movements, when the past share prices exhibit random behaviour, without exhibiting high fluctuations. This article explains the methodology of using Monte Carlo Simulation for predicting share price movements and explains the process with the help of an illustration taking the monthly share price data of ITC Limited for a period of 36 months, where the share prices have moved within a narrow band. Findings of the analysis show that it works well and that the method of prediction is reasonably accurate, showing only a minor deviation from the actual prices.
A Critical Analysis on the Theories of Regulation
Authors:   BA.LLB(HONS), 3rd YEAR, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamil Nadu, Chennai, India., B* Jayasuriyan , S Malaimagal ,   B.A.,M.L, Assistant Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamil Nadu, Chennai, India.
Published: October 2019

Regulation in general is literally defined as a form of government intervention in the economic activity and interference with the workings of the free-market system. According to certain views, regulation is “synonymous with government intervention in social and economic life”. Free marketeers do not like regulations because they do not like any form of intervention in which that is made by the government and prefer to feel the full power of the market. However, those who believe that the government intervention may be necessary, and then even such people should not be exposed to the full tyranny of the market on find regulation to be tolerable, even desirable. Majorly, three theories of regulation in which that is made and referred till now, as in which they are Public Interest Theory, Private Interest Theory and Institutional Theories as in which each theory flows and deals with different aspects in order to provide a proper regulation. And The current research focuses on the theories of regulation with regard to the satisfaction of the people, and the current issue analyzed with the help of Statistical Package for the Social Sciences, and it is used by various kinds of researchers for complex statistical data analysis in order to produce an appropriate and an unbiased result.
Generating Realistic Blood-Cell Images using Cycle-Consistent Generative Adversial Networks
Authors:   Electronics and Communication Engineering, GMRIT, Rajam, India., Rao* M. V. Nageswara
Published: October 2019

generative adversial networks are a neural-network based generative models , predominantly used for generating data-samples close to the data distribution they have been trained on .A model for generating realistic blood cell images based on cycle-consistent generative adversial networks is developed along with their corresponding segmentation masks
An Efficient Poker Protocol for Shuffling and Dealing Cards
Authors:   Information Technology College, Imam Ja’afar Al-Sadiq University, Baghdad-Iraq, Aboud* Sattar J. , Jabbar Zinah S. ,   Information Technology College, Imam Ja’afar Al-Sadiq University, Baghdad-Iraq
Published: October 2019

This paper proposes a new card game and dealing system, designed specifically for poker games. The proposed method benefits from two poker characteristics games that are ignored by public card systems. First, cards are dealt in poker games in the form of rounds, betting with them, instead of all at once. Second, the total number of cards dealt in poker game cards is depending on the number of players but is usually less than half the total. With these remarks in mind, the proposed method distributes the computing cost of dealing cards evenly across the rounds. Compared to systems that provide a full introduction to the deck, the proposed approach provides a significant reduction in the total cost of computing. Also, it’s fair and strong. It perfectly fits hardware such as smartphones. The presented system is fast and secure mental poker protocol. It is twice as fast as similar protocols.
Artificial Intelligence Markup Languange for Interactive Service HR Department
Authors:   Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia,, Frizki* Dheny , Ranggadara Indra ,   Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia., Wati Amalia Fajar ,   Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia,
Published: October 2019

Along with the development of information and communication technology systems in the era of free digitalization, people are asking for comfort and convenience by supporting their activities. One of them is easy to find artificial intelligence technology in various ways to support human activities. Artificial intelligence technology or often called Artificial Intelligence (AI) can be processed into various forms so that according to the adjusted method. Application of Artificial Intelligence Markup Language (AIML) with UML (Unified Modeling Language) design as an interactive media for personnel and employee services. The UML (Unified Modeling Language) design method is expected to help the personnel department in providing information to employees at PT. Dimensions of Indonesian Data. The information collected will be made into frequently asked questions and then adjusted to the AIML pattern.
Compensation of Power Fluctuations in PV System through Energy Storage System
Authors:   Department, AISSMS's Institute of Information Technology, Pune, Maharashtra, India., Narkhede* Kritika Vivek
Published: October 2019

The variations produced by the change in cloud cloud cover can cause rapid fluctuations in power generated by photovoltaic system. Thus, energy storage system are necessary in order to smooth power fluctuations. The main objective of this paper is to design photovoltaic system to regulate the fluctuations through energy storage system. Thus we have proposed a system in which we use dc-dc converter for MPPT application , TL494 IC generate the pulse for charging the battery as well as to regulate the fluctuatios.
Injury Prevention for Javelin Athletes using Sensors and IOT
Authors:   Research Scholar, Department of Sports Technology, TNPESU, Elumalai* G. , Ramakrishnan R. ,   Professor, Department of Sports Technology, TNPESU
Published: October 2019

The main idea of this dissertation was to understand the inter-relationships among Biomechanical parameters which describes for javelin throwing execution and wounds continued by javelin throwers. One of the multi-joint, complex track and field throwing events is javelin throw, which needs great coordination on physiological and movement parameters. Current Javelin throwers mainly concentrate on muscular strength and the control to throw the javelin at long distance with high speed. But, it is essential for both men and women javelin throwers to effectively transfer run-up momentum and throwing arm action into great release speed and to control the release. A Great joint power was seen in spear hurlers were related with developments of the shoulder and elbow which is the system for lance tossing damage. These parameters may be modified to decrease injury risk without affecting the performance to achieve maximum throwing distance. Now a day technological advancements are increasing at a faster face, but the utilization of technologies in various sectors is very low. Considering the possible injuries to could occur, this system has been proposed for the welfare of javelin throwers. This indicates whenever the athletes commit a mistake while throwing the javelin which in-turn prevents further injuries through feedback mechanism using the sensor, IoT and Mobile App. The real-time monitoring of injury parameter and providing feedbacks become tremendous potentials for maximizing athlete’s performances.
Design of Powered Wheel Dolly for Construction Stair Case
Authors:   P.G Scholar,Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India, raj* G.Bharath , Reddy G.Sreeram ,   Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India., Kumar Dr. L.Madan Ananda ,   Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India.
Published: October 2019

New Product Development (NPD) plays a major role in this fast-moving market. Depending on functionality of the product, which is existing or an unmet by considering other aspects, new product can be developed. Considering these voids in the field of construction, in the areas of logistics while there will be lots of manpower required in transporting construction goods. Considering this as the problems effecting the health and time duration of the work, this new product is designed to carry the heavy load to the top floor using less man-power and consuming less time by using a slab dolly. In this project, a designed dolly which can carry heavy loads of Marble slabs on to the top floor using normal constructed stair cases using less man power. The dolly is designed and simulated using CATIA and desired factor of safety (FOS).
Starting Up New Business through Instagram: Cases from South Korea
Authors:   Assistant Professor At The Department Of E-Trade In Keimyung University, South Korea., Islam* Maidul
Published: October 2019

This research paper mainly focus on how new businesses can use the Instagram platform to do their business. This research paper has interview three cases from South Korea who have used Instagram as platform for their own business and have done substantial business. It shows several examples of starting business on Instagram platform in detail & explained how these businesses approach to their potential customers and form a market through social network. This paper used interview method to collect data and interpret them to come to a conclusion. It reviews similar papers who have used Instagram as tool of marketing and conducted a qualitative research to gain data. The interview results show that Instagram has great impact not only to the business starters but to the consumers. It play greater role in linking and communicating with customers and firms rather than just a marketing tool. This research also claims that people starting business through Instagram will be able to gather information and great amount of attention from their customers with a minimum cost.
Optimum Heat Shielding Effect of an Engine by using Aluminium, Zirconium Materials
Authors:   Assistant Professor, Mechanical Engineering Department, Anurag Group of Institutions, Hyderabad, India., Krishna* Kunchala , Ameresh H ,   Assistant Professor, Mechanical Engineering Department, Anurag Group of Institutions, Hyderabad, India., Rajender O ,   Assistant Professor, Mechanical Engineering Department, Anurag Group of Institutions, Hyderabad, India.
Published: October 2019

A warmth shield is intended to shield a substance from retaining extreme warmth from an outside source by either dispersing, reflecting or basically engrossing the warmth. Because of the a lot of warmth radiated by inward burning motors, heat shields are utilized on most motors to shield segments and bodywork from warmth. Just as assurance, compelling warmth shields can give a presentation advantage by lessening the under-cap temperatures, accordingly decreasing the admission temperature. Warmth protecting is important to avert motor warmth from harming heat-delicate parts. Most of more established vehicles utilize straightforward steel warmth protecting to diminish warm radiation and convection. Itis currently most regular for present day vehicles are to utilize aluminum warmth protecting which has a lower thickness, can be effectively shaped and does not erode similarly as steel. Higher execution vehicles are starting to utilize fired warmth protecting as this can withstand far higher temperatures just as further decreases in warmth move
Internet Usage in Agricultural Extension Activities in Lampung Province, Indonesia
Authors:   Agribusiness Department, Faculty of Agriculture, University of Lampung, Bandar Lampung, 35145, Indonesia., Listiana* I. , Sumardjo  ,   Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia, Sadono D. ,   Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia, Tjiptopranoto P. ,   Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia, Ariyanto D. ,   Faculty of Agriculture, Asahan University, Kisaran, North Sumatera, 21216, Indonesia.
Published: October 2019

Low internet usage by extension agent, impact on the inhibition of the flow of information to the farmers and lead to the income received by farmers. In the digital era today, if the extension agent is not encouraged to use the internet then they will be left behind and will be left out by the farmers. This study aimed to (1) analyze the internet availability in Lampung Province (2) to analyze the level of internet usage for extension agent in Lampung and (3) to analyze factors influencing internet usage of extension agent. This research was conducted in Lampung Province with analysis unit of extension agent in the office of BP3K (Extension Agency of Agriculture, Fisheries, and Forestry) which has been facilitated by computer and internet network. Respondents consisted of 355 extension agent served in BP3K. Multiple Linear Regression Analysis was used to determine the effect of independent variables on the dependent variable. The availability of facilities and internet network in Extension Offices is not sufficient even extension agent used their private facilities. The Internet network had reached the remote areas very well in spreading and transmitting information. Almost all extension agent have internet-connected devices and internet-based applications. Extension agents facilitated by computer and internet network communicating using social media, however capabilities in using the internet to search information related agricultural technology remained low. The use of the internet by extension agent was influenced by the nature of internet innovation, the number of Internet-based applications and the amount of existed hardware.
Improving Strength Properties of Fiber Reinforced Concrete with Alccofine
Authors:   Research Scholar, Department of Civil Engineering, Anna University, Chennai, Tamil Nadu, India, Arokiaraj G* Vimal , G Elangovan ,   Assistant Professor, Department of Civil Engineering, University College of Engineering, Thirukkuvalai, Nagapattinam, Tamil Nadu, India.
Published: October 2019

This experimental work deals with the effects of alccofine in concrete by optimum replacement of cement and variation of steel fibers to determine the workability and compressive strength. In this work 42 cube samples of size 150*150*150mm were cast by 10% of alccofine as constant with different percentages of steel fibers 1,2,3,4 and 5 respectively. From the results, it was found that strength was increased with optimum replacement of alccofine with increasing the % of steel fibers after 7&28 days curing. For the experimental values best fit model was developed. Using ANSYS, all the concrete cubes were studied and determined the values of deformation, principle stresses and shear stresses.
Role of Business Intelligence and Analytics: Analysis of Data Driven Decision
Authors:   SIBM Pune Symbiosis International University Pune, India, Awasthi* Amit Mohan , Pandita Dr. Deepika ,   Asst. Professor, SIBM Pune Symbiosis International University , Pune, India
Published: October 2019

For better decision making Business Intelligence is a vital process. The application of technologies and practices for integrating, collecting, analyzing, business information is known as Business Intelligence (BI). The data driven Support Systems (DSS) is a system that support Business Intelligence. Thus Business Intelligence gains a business advantage if the company uses a strong BI tool instead of making vital decisions pertaining to business on the basis of gut feeling. Generating fact-based data agenda via a robust computer system delivers confidence for any business decisions made. Business Intelligence customs administrations and programming to alter the data into substantial insight that prompts to association's key and strategic business choices. BI devices get to and examine informational collections and present discoveries in dashboards, graphs, outlines, maps and diagrams which gives the customers the details and knowledge about the condition of the business. Thus, the present study focuses on analyzing and describing the development of the various aspects of Business Intelligence and the related industries that use Business Intelligence for decision making.
Empowering Women Weavers by Up-Gradation of Handloom Industry of Assam through Microfinance
Authors:   Assistant Professor, Department of Economics, Pub Bongsor College, Pacharia, Kamrup (R), Assam,, Baishya* Dr Dipti
Published: October 2019

Handloom industry is the back bone of various indigenous communities of North East India, particularly Assam. Weaving techniques have been passed on to the next generation by a mother to her daughter in majority households in Assam. However this tradition is almost on the verge of extinction except in a few specific areas where still women consider weaving as a part of their daily work. Due to the better connectivity between urban and rural areas and rising demand for traditional attires, weaving has become a source of income for those people who are still engaged in the age old skill. However scarcity of finance makes them helpless to increase the quality and supply of hand woven fabric in Assam. Microfinance can be highly effective in reviving and upgrading the handloom industry of Assam. The paper tries to analyse the impact of microfinance in enhancing the handloom industry of Assam, particularly in the lower Brahmaputra valley and eventually empowering the women folk socio-economically. Exploratory Factor analysis has been used to find out important factors which contribute to the socio-economic condition of women weavers. To measure whether microfinance has improved the handloom industry of Assam and hereby enhancing the socio-economic condition of the weavers, descriptive statistics has been used. It has been found that women weavers that are benefited under microfinance programme have eventually got empowered socio-economically.
Knee-Jerk Cardiopulmonary Resuscitation (CPR) Machine
Authors:   Assistant Professor in Department of Biomedical Engineering Rajiv Gandhi College of Engineering and Technology, Puducherry., Niranjana* Ms. E. , Saranya Ms. S. ,   pursuing her B.Tech, biomedical engineering in Rajiv Gandhi college of engineering and technology, Puducherry, Kaarikaasree Ms. S. ,   pursuing her B.Tech, biomedical engineering in Rajiv Gandhi college of engineering and technology, Puducherry, Keerthana Ms. B. ,   pursuing her B.Tech, biomedical engineering in Rajiv Gandhi college of engineering and technology, Puducherry, Gajalakshmi Ms. J. ,   pursuing her B.Tech, biomedical engineering in Rajiv Gandhi college of engineering and technology, Puducherry
Published: October 2019

Cardiopulmonary resuscitation method is used to save more number of peoples from the neurological problem. In this case, the neurological problem denotes brain death. This brain death is mainly caused due to cardiac arrest and happen within 4 to 5 minutes. To avoid this problem we go for cardiopulmonary resuscitation method. It will be helpful to relieve the patient from cardiac arrest. The manual CPR is not that much efficient when compared to automatic CPR because, the experts who are giving CPR to the patient are cannot able to give the continuous CPR to the patient but, the automatic CPR machine is able to give the continuous CPR to the patient. The article reviews such kind of automatic devices. The automatic CPR machine already exists. But, the cost of that machine is high. So we intended to design the low cost CPR machine. This is achieved by replacing the component like Arduino microcontroller and solenoid lock. The replaced component also do the same work like in the high cost CPR machine.
Recognition of Gender using Gait Energy Image Projections Based on Random Forest Classifier
Authors:   Assistant Professor, Dept. of ECE, JNTUK University College of Engineering, Vizianagaram, India, Hema* M. , Babulu K ,   Professor, Dept. of ECE, JNTUK University College of Engineering, Kakinada, India, Balaji N ,   Professor, Dept. of ECE, JNTUK University College of Engineering, Narsaraopeta, India
Published: October 2019

Identification of gender is a very fascinating criterion in the present day scenario. Especially, in the surveillance applications, gender recognition is very beneficial. With the use of face, speech, voice and gait, the gender of a person can be determined. Non-contact, non-invasive and easily acquired at distance, gait analysis has attracted the interest of many researchers in the classification of gender. For the identification of gender, 2 stages of the methodology are used in our proposed work. A new descriptor called Gait energy image projection model(GPM) is proposed which highlights all the gender-related parameters. In the second stage of methodology, proposed descriptor GPM is fused with already existing descriptors like GEI and FED for enhanced performance. For classifying the gender, an Ensemble classifier called Random Forests is applied to the individual and fused descriptors and the results are evaluated. Two datasets are used for experimentation namely CASIA B and OU-ISIR datasets which are standard datasets for person identification and different performance metrics such as accuracy, precision, recall and error rate are evaluated.
Protein Extraction from Spirulina Platensis
Authors:   MIE Department, College of Engineering, National University of Science and Technology, Muscat ,Oman., Hina* Maram Al , Kalbani Amjad Al ,   MIE Department, College of Engineering, National University of Science and Technology, Muscat ,Oman., Rubkhi Buthaina Al ,   MIE Department, College of Engineering, National University of Science and Technology, Muscat ,Oman., Kalbani Umaima Al ,   MIE Department, College of Engineering, National University of Science and Technology, Muscat ,Oman., Walke Santosh ,   MIE Department, College of Engineering, National University of Science and Technology, Muscat ,Oman
Published: October 2019

The extraction of protein from green spirulina microalgae platensis was carried out by centrifugation, ultra sound assisted extraction and combination of centrifugation and ultrasound assisted extraction spirulina platensis was carried out using ultrasound-assisted extraction and statistical optimization method is used to obtain the optimum conditions. A Box–Behnken design method was used to optimize the process conditions affecting protein extraction. This conditions investigated on microalgae cell disruption method by the combination of both ultrasonication and centrifuge. Different buffer solutions were used and the time of the ultrasonication was also varied. The protein extraction quantity was evaluated. The obtained results confirm that mixed buffer III showed the high concentration of protein but low quality. The study on the effect of ultrasonication period, the concentration of protein increased and remains constant also when duration of sonication is elongated and this result was observed during continuous ultrasonication in similar manner. The protein concentration is one of the important aspect, the protein quality must be satisfied. The results confirms the optimum condition of protein extraction from green microalgae requires the combination of the use of buffer solution and a proper duration of ultrasonication to maximize the protein quantity.
Knowledgeable Handling of Impreciseness in Feature Subset Selection using Intuitionistic Fuzzy Mutual Information of Intrusion Detection System
Authors:   Department of Computer Science, Sree Saraswathi Thyagaraja College, Pollachi - 642 107, Tamil Nadu, India., Sudha* Mrs. P. , Gunavathi Dr. R. ,   Head, Master of Computer Science and Applications, Sree Saraswathi Thyagaraja College, Pollachi - 642 107, Tamil Nadu, India.
Published: October 2019

One of the most promising areas of domain in research field is security because of its exponential usage in everyday commercial activities. Due to prevalence diffusion of network connectivity, there is a high demand for protection against cyber-attack which necessitates the importance of intrusion detection system as a significant tool for network security. There are many intrusion detection models available to classify the network traffic s either normal or attack type. Because of huge volume of network traffic data, these classifier techniques fail to attain high detection rate with less false alarms. To overcome the above problem, this paper introduces the potential feature subset selection model using Intuitionistic Fuzzy Mutual Information (IFMI). This model efficiently selects the optimal set of attributes without loss of information even in presence of impreciseness among attributes. This is achieved by representing each attribute in the dataset in terms of degree of membership, non-membership and hesitation. To validate the performance of the IFMI its reduced feature subset is used for classification using random forest classifier. After analyzing the feature subset, the simulation results proved that the proposed model has improved the performance of classifier for predicting the network intrusion attempts. It also helps the classification model to achieve high classification rate and reduced false alarm rate in an optimized way.
Fuzzy Integrated Ontology Model of Dynamic Learner Profiling
Authors:   Research Scholar, Department of Computer Science and Engineering, Karpagam University, Coimbatore-641021, India,, Sheeba* T. , Krishnan Dr.Reshmy ,   Associate Professor, Department of Computing , Muscat College, P.O.Box: 2910, P.C:113, Ruwi, Sultanate of Oman,
Published: October 2019

In the context of lifelong learning, learner profile has emerged as a feasible model that support and promote the provision of lifelong learning opportunities. Learner profile describes the attributes and outcomes of education in a learning system. It includes information on learner’s gender, skills, education, interest, learning preferences, learning style, etc. This paper proposes an approach to construct a fuzzy based semantic learner profile in the promising technology of semantic web by using the concept of ontology and use it for the reasoning of learner preferences. The approach starts with the collection of learner’s static and dynamic data. The dynamic data of learner particularly learner interest and learning style are extracted by weblog analysis and using algorithms such as semantic based representation using WordNet and modified decision tree classifier with strong rules based on Felder-Silverman learning style model. The retrieved data is then used to construct learner profile using ontology in which automatic learner profile updating is obtained using ontology based semantic similarity algorithm. Finally to achieve semantic retrieval from learner profile ontology, fuzzy concepts such as fuzzy linguistic variable and fuzzy IF THEN rules are applied. Fuzzy linguistic variable facilitate semantic retrieval and more specific classification from learner profile ontology and fuzzy IF THEN rules predict the learning preference of new students based on the forward chaining reasoning process implemented in the existing ontology model. The final representation of semantic fuzzy ontology based learner profile improves the performance of tasks such as classification, semantic retrieval and prediction of learning preference to the new learners. The case study is conducted for the real-time learners involved in studying the courses registered in Moodle Learning Management System. The experiments were performed with NetBeans IDE, Jena framework and Protégé 4.2 beta editor. The experiments confirm that the proposed learner profile is a good representation of the learner's preferences.
Cournot Duopoly for Spoofing Attack in MIMO with the Adaptive Antenna System
Authors:   Assistant Professor Department of Electronics & Communication Engineering, Techno International Batanagar INDIA., De* Aritra , Datta Tirthankar ,   Professor and Dean of Academics Department of Electronics & Communication Engineering, Netaji Subhash Engineering College INDIA,
Published: October 2019

Wireless communication capacity & performance can be enhanced by Multiple Input Multiple Output (MIMO) technology. The signal transmitted in MIMO technology is affected by path loss, attenuation due to distance and interference. An unauthorized user known as spoofer between transmitter and receiver affects the performance of MIMO technology. An adaptive antenna technology (AAT) is proposed in this work to reduce path loss and attenuation of MIMO technology. A game theoretical approach known as Cournot duopoly is also proposed where an optimum number of transmitter and receiver antenna is used to reduce spoofing in MIMO technology.
Constituent Depletion and Divination of Hypothyroid Prevalance using Machine Learning Classification
Authors:   Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Devi* M. Shyamala , Shil Ankita ,   B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Katyayan Prakhar ,   B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Surana Tanmay ,   B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India.
Published: October 2019

With the vast growth of technology, the world is moving towards different style of instant food habits which lead to the irregular functioning of the body organs. One such victim problem we face is the existence of hypothyroid in the body. Hypothyroid is the under active thyroid circumstance, where the thyroid gland does not produce required amount of essential hormones. The prediction of hypothyroid still remains as a challenging task due to the non availability of exact symptoms. By keeping this analysis in mind, this paper focus on prediction of hypothyroid based on the clinical parameters. The hypothyroid dataset from the UCI machine learning repository is used for predicting the existence of hypothyroid using machine learning classification algorithms. The prediction of existence of hypothyroid is carried out in four ways. Firstly, the raw data set is fitted with various classification algorithms to find the existence of hypothyroid. Secondly, the data set is tailored by the Ada Boost Regressor algorithm to extract the important features from the hypothyroid dataset. Then the extracted feature importance of the hypothyroid dataset is then fitted to the various classification algorithms. Thirdly, the hypothyroid dataset is subjected to the dimensionality reduction using principal component analysis. The PCA reduced hypothyroid dataset is then fitted with classification algorithms to predict the existence of hypothyroid. Fourth, the performance analysis is done for the raw data set, Feature importance AdaBoost hypothyroid dataset and PCA reduced hypothyroid dataset by comparing the performance metrics like precision, recall, FScore and Accuracy. This paper is implemented by python scripts in Anaconda Spyder Navigator. Experimental Result shows that the Random Forest, Naive Bayes and Logistic regression have the accuracy of 99.5 for the raw dataset, feature importance reduced dataset and the accuracy of 99.8 for the five component reduced PCA dataset.
Exploiting Visual Content of Book Front Cover to Aggrandize the Content Based Book Recommendation System
Authors:   Senior Assistant Professor, School of Computing Science & Engineering, Vellore Institute of Technology, Chennai, India., Sariki* Tulasi Prasad , Kumar Dr. G. Bharadwaja ,   Associate Professor, School of Computing Science & Engineering, Vellore Institute of Technology, Chennai, India
Published: October 2019

In modern e-commerce world Recommendation Systems are playing a key role in supporting customers to take a decision. With this kind of services customers can choose comfortably the products as per their preferences from a long list of available products. It’s not only a boon for the customers; it will boost the sales for the organization and generate better revenues. Due to diverse domain characteristics, each domain requires different kinds of recommendation models. Content based recommendation model is one of the recommendation models which purely rely on product features and the current user preferences. This model is more effective for the domains like news, micro-blogs, books, movie plots and scientific papers etc. In this paper we propose a content-based filtering model for book recommender system by utilizing its overall textual features as well as visual features of its front cover. Numerous surveys have demonstrated that book readers are highly inclined to its covers that are visually attractive1. Book front cover is the first representative candidate of the book that will reveal the overall sense of the book; hence we considered book front cover as one of the book contents along with the text. Our experiment shows that augmenting the visual features to the existing content-based recommender models performed well.
Design and Analysis of Optimized Stooge Sort Algorithm
Authors:   Assistant Professor in the department of Computer Science and Engineering, Subharti Institute of Engineering and Technology, Swami Vivekanand Subharti University, Meerut, India., Kishor* Amit , Singh Pankaj Pratap ,   Assistant Professor in the Department of CSE, Subharti Institute of Engineering and Technology, Swami Vivekanand Subharti University, Meerut, India.
Published: October 2019

Data sorting has many advantages and applications in software and web development. Search engines use sorting techniques to sort the result before it is presented to the user. The words in a dictionary are in sorted order so that the words can be found easily .There are many sorting algorithms that are used in many domains to perform some operation and obtain the desired output. But there are some sorting algorithms that take large time in sorting the data. This huge time can be vulnerable to the operation. Every sorting algorithm has the different sorting technique to sort the given data, Stooge sort is a sorting algorithm which sorts the data recursively. Stooge sort takes comparatively more time as compared to many other sorting algorithms. Stooge sort works recursively to sort the data element but the Optimized Stooge sort does not use recursive process. In this paper, we propose Optimized Stooge sort to reduce the time complexity of the Stooge sort. The running time of Optimized Stooge sort is very much reduced as compared to the Stooge sort algorithm. The existing research focuses on reducing the running time of Stooge sort. Our results show that the Optimized Stooge sort is faster than the Stooge sort algorithm.
Implementation of an Efficient Channel Model for 5G mm-Wave Bands
Authors:   M.Tech, Department of Computer and Communication Engineering Specialization, University College of Engineering Kakinada-JNT University, Kakinada, Andhra Pradesh, India., Nagula* Srinivas , Kumari Leela ,   Ph.D, Assistant Professor, Department of Computer and Communication Engineering, JNT University, Kakinada, Andhra Pradesh, India.
Published: October 2019

The approach in this paper is to analyze the propagation features of three distinct bands above 6GHz (i.e. 19, 28 and 38GHz) in an indoor corridor setting. The performance of 3GPP, NYUSIM channel models, Floating Intercept (FI), Frequency Attenuation (FA) path loss models are assessed using propagation features. Most of the available bands are now being used in the microwave band are below 6GHz. For the 5G system, the microwave band above 6GHz and mm-Wavebands can be used as bandwidth needed for all 5G applications. The analysis of LOS scenarios, channel Eigen values and spectral efficiency analyzes the channel model for the propagation of 5G mm-Wave bands.
New Trends in Telecommunication
Authors:   Department of Applied Science, G L Bajaj Institute of Technology and Management, Greater Noida, UP, India., Rani* Pooja , Kapoor Eirtty ,   Department of Information Technology, G L Bajaj Institute of Technology and Management, Greater Noida, UP, India.
Published: October 2019

This is the new trend of different wires used in telecommunication like fiber optic and copper wire This study includes various parameters for comparison. For fabrication of any telecommunication, every wire play important role. A pair of Fiber can carry over eight thousand simultaneously voice channels. This paper gives us the idea of high immunity to electromagnetic interference for optical fiber and copper wire. According to this we will explain about Optical Fiber, type, features, theory and principles. Different specification and features of optical fiber cables are also studied. Optical Fiber’s linear features are wavelength window, bandwidth, attenuation and dispersion. Non-linear features are fiber manufacturing, geometry etc. Copper cable has different types such as: Coaxial cable and twisted cable.
Random ID based Secure AODV to prevent Black Hole Attack in MANET
Authors:   Department of Embedded Technology, School of ElectronicsEngineering, VIT, Vellore, India., Sundar* S. , Kittur Harish M. ,   Department of Micro and Nano-electronics, School of ElectronicsEngineering, VIT, Vellore, India
Published: October 2019

Mobile Ad Hoc Networks (MANET) are typically wireless networks that do not have any fixed network architecture. This makes the task of routing layers difficult. A popular reactive routing protocol – Ad hoc On-demand Distance Vector (AODV) used in MANETs has certain vulnerabilities which make it susceptible to black hole attacks. This paper proposes an innovative technique to detect and prevent the possibility of a black hole attack in AODV based MANETs. Using the approach of detecting multiple Route Reply (RREP) messages, authentication of nodes is done by the use of a randomly generated id unique to each route discovery process. This method was tested using simulations in NS2 software and compared with previous attempts. The proposed method showed marked improvement in performance in the presence of malicious nodes.
Fall Detection for Elderly Person using Neuro-fuzzy System and Wavelet Transformation
Authors:   Department of Computer Science & Engineering, Anyang University, Anyang-si, Republic of Korea, Lee* Sang-Hong
Published: October 2019

This study proposes a new methodology to detect falls and non-falls using a Neural Network with Weighted Fuzzy Membership Functions (NEWFM). Dataset acquired from subjects was applied to NEWFM after carrying out wavelet transforms. In order to test the performance evaluation of the fall detection by the NEWFM, the dataset was separated test set and training set at 2 to 8 and 5 to 5 ratios to carry out experiments. Based on the performance evaluation of the NEWFM, the sensitivity, accuracy, and specificity were shown to be 94.67%, 91.86% and 89.41%, respectively when the test set to the training set at the ratio was 2 to 8 and 91%, 91% and 91%, respectively, when the test set to the training set at the ratio was 5 to 5. This study also compares the performance evaluation of backpropagation (BP) and that of NEWFM.
Requirements for Smart Home Application
Authors:   Department of Information and Communication Technology, Polytechnic Muadzam Shah, Pahang, Malaysia., Ismail* Fazilah , Ahmad Sabrina ,   Centre for Advanced Computing Technology, Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Malaysia., Hashim Ummi Rabaah ,   Centre for Advanced Computing Technology, Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Malaysia.
Published: October 2019

The revolution of Internet of Things (IoT) will be able to revive the way people use the technology for a greater benefit. As we are embarking towards the golden age of technology, smart home application is gaining popularity as it adds convenience, comfort and peace of mind. There are variety of smart home applications worldwide which has diverse functionality with different perspectives and embedded assumptions. These scenario leads to uncertainty among the developers and leads to unnecessary effort to elicit requirements every time new application wants to be developed. Therefore, this paper presents an exploration to determine essential requirements for smart home application based on end user needs. An empirical investigation based on survey technique was conducted to determine essential requirements for smart home application. A case study of residents in Satellite City of Muadzam Shah, Pahang was conducted. The analysis was done by using T-Test and One Way Analysis of Variance (ANOVA). The results show that the respondents agreed the essential requirements for smart home application are Time Needs, Simplicity Needs, Security and Safety Needs and Mobility Needs.
Enhanced Object Detection using Generalized Hough Transform and RANSAC
Authors:   Assistant Professor in School of Electronics Engineering, Kalinga Institute of Industrial Technology University, Bhubaneswar, Odisha, India., Kumar* Pranaw , Yousef Rammah ,   Studying M.Tech in Communication Engineering in KIIT University, Bhubaneswar, India., Yousef Nabhan ,   Studying M.Tech in Information Communication Technology in Marwadi University, Rajkot, Gujarat, India.
Published: October 2019

In this paper object detection process has been implemented using the combination of some robust algorithms. The algorithms used are SIFT, GHT and RANSAC. Two models have been proposed which using two of the above mentioned algorithms. In model one features extraction by SIFT has been processed using Generalized Hough Transform (GHT) , where in other model improved RANSAC has been used to eliminate the mismatches in order to achieve better recognition resolution. Overall GHT is found to be superior technique to achieve object detection efficiently.
Special Aspects of Innovative Product Development by Knowledge-Intensive Businesses in the Current Economic Conditions
Authors:   Department of Economics and Innovative Entrepreneurship, Faculty of Economics and Law, MIREA - Russian Technological University (RTU MIREA), Moscow, Russian Federation., Sergeevna* Budovich Lidia
Published: October 2019

The article discusses the task of development of the Russian industry is not only to ensure the transition of the economy to the trajectory of sustainable development, but also to change the quality of economic growth. Here, an important role belongs to the state scientific and industrial policy which determines the overall economic strategy and the most promising basis for development. Experience shows that the priority development of the resource-based industries that have become the leading sectors of the Russian economy to date is unable to solve the problem of economic upsurge fundamentally and for the long haul. Creating new high-tech products is a complex and multifaceted process that includes scientific, technical, production, economic and social aspects, and the functioning in the market conditions requires improving the organization and management of production in the lower tier of the national economy, i.e. at the enterprise level. In the process of development of new products, certain production and management relations are established between the business units of the enterprise and between related firms, which relations reflect the links between the direct manufacturers of products, management staff, as well the organization of joint activities of participants in the production of new products. Economic growth should be based on the priority development of the group of export-oriented industries capable of being a stable, long-term driving force of development, the most promising basis for the growth of the Russian economy due to intensive factors. High-tech enterprises of the defense industry being part of the High-Tech Complex (HTC) of Russia basically form the backbone of such industries.
Foreign Portfolio Investment And Macroeconomic Factors In India
Authors:   School of Commerce, Bharathiar University, Coimbatore, India., K* Kasthuri , Nirmala Dr.M. ,   Assistant Professor, School of Commerce, Bharathiar University, Coimbatore, India.
Published: October 2019

Foreign Portfolio Investment (FPI) is a part of worldwide capital flows comprising of put out of monetary assets such as currency, supply or bonds across global borders in wish for earnings. FPI is a sole entity, which either boosts or impedes Indian economy and savings approach with each of momentary waft. For the period of behind 1980s and near the beginning 1990s portfolio savings emerged as a most essential type of resources inflow to growing countries. The consequence of portfolio savings to budding countries has arrived downward once the East Asian crisis of 1997. On the additional, most other emergent countries, India is at a standstill more reliant in the lead of Foreign Portfolio Investment (FPI) than Foreign Direct Investment (FDI) as a resource of foreign investment. Foreign Portfolio Investment inflows and outflows have a direct impact on Indian economy. One of the majority imperative features of the expansion of Indian economy in the last twenty years has been the mounting participation of FPI. Portfolio investment being an immediate verity it displays the Indian economy influence instantly. The aim of this revise is to check the relationship between Foreign Portfolio Investment (FPI) and select macroeconomic Indicators in India.
Website User Interface of Marine Bio-Tourism Destination for Today Digital Environment
Authors:   Doctoral of Economic Program, Lecturer of Entrepreneurship Program of BINUS University, Indonesia., Dr. Mulyani*  , Aryanto Dr. Rudy ,   Doctoral of Research in Management Degree, , Indonesia.
Published: October 2019

This quasi experimental research investigated the influence of user interface from tourism destination website toward the attitude of youth tourist. Paper reviewed website persuasion and examined the level of influence website user interface persuasion based on the method ELM toward youth tourists’ attitude i.e. attitude to website, attitude to tourism destination, attitude on bio-tourism and visit intention. Data analysis MANOVA GLM generated the website information in the form of peripherals routes has effect most powerful to influence tourists’ attitude especially visit intention. It indicates tendency that youth tourists still more careful attention to learn content message and they were more cognitive response to powerful argument about the importance of the protection and preservation of marine tourism destination. The youth tourist instead influentially by experiential, with this result that the peripheral form of bio-tourism website user interface design which explored about the adventure tourism destination visit experiences is recommended. This research useful to know the attitude of consumers after they observe marine tourism destination web site then management can design customer interface of websites effectively in conformity with expectation of consumer.