bluuebunny/crossref_metadata_2025 huggingface dataset:
The Safeguarding of Living Person of Heritage from the Perspectives of National Heritage Act 2005 (Act 645)
Authors:   Co-Curriculum Centre (Cluster for Arts and Cultural Heritage), Centre for Fundamental & Liberal Education, University Malaysia Terengganu (UMT), 21030 Kuala Nerus, Terengganu, Malaysia., Sani* Noorfathehah bt Abdullah , Zolkifeli Zainul ,   Faculty of Applied Social Science (FSSG), Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300 Terengganu, Malaysia.
Published: February 2020

The objective of this research is to identify the relevancy of National Heritage Act 645 (Act 645) in the efforts of protecting the living person of heritage and disseminating the knowledge and skills of intangible cultural heritage in Malaysia. This recognized living persons also are listed under the NHA 2005, called Living Person Heritage Program (LPHP). The living persons or cultural practitioners who were once actively engaged in traditional performing arts were decreasing due to lack of successors or apprentice after they have passed away or unable to continue the performance. This situation is disturbing because it gives a great loss to the country because of the talent, skills, ability and knowledge possessed by this living person will disappear without having an opportunity to pass it down to younger people. This descriptive research applied a case study method which gives more in-depth information on the subject by an individual or small group of individuals. Expert Interviews and Document Review were the main tools applied in collecting data. The findings indicated that although NHA 2005 do provides a proper protection to these living persons. This is essential because the living persons or cultural practitioners will remain protected as a heritage and tourism product that indirectly will generate income for the country. This study can contribute to the formulation of national policies regarding safeguarding heritage.
Application of Marketing 4.0 Principles By the Indian Mutual Fund Industry
Authors:   Assistant Professor, Department of Finance, Gandhi Institute of Technology and Management University., Polisetty* Aruna , Manda Vijaya Kittu ,   Assistant Professor, Department of Finance, Gandhi Institute of Technology and Management University.
Published: February 2020

The competitive Indian Mutual Fund Industry requires the use of Marketing 4.0 principles owing to changing marketplace dynamics and increased competition. Traditional advertising forms got saturated with mutual funds, and the new redefined marketing principles reinforced the need to move to digital media. The recent addition of the fifth A (Advocacy) to the marketing jargon became necessary because of the increased connectedness and social nature of the customers (investors). The O-Zone factor increasingly influences investor decision making and helps in driving loyal investors from Aware to Advocate. This article discusses the social media marketing of Indian Asset Management Companies (AMCs). Improving brand curiosity and extending product reach to prospective clients are some potential advantages of the activity. Engagement marketing practices, marketing expense impact, four C's marketing mix, and online customer care are some new marketing principles. AMCs can use these to build better marketing campaigns for building investor-centric financial products. Different dimensions of social media usage are specified, and their utilization by various Indian mutual fund houses is measured. This understanding can help in better marketing of financial products and services, particularly that of mutual funds.
A Novel Technology in Lean Manufacturing
Authors:   Mechanical Engineering Department, AarupadaiVeedu Institute of Technology, Vinayaka Mission’s Research Foundation, Deemed to be University., Senthil* J , Prabhahar Dr.M. ,   Mechanical Engineering Department, AarupadaiVeedu Institute of Technology, Vinayaka Mission’s Research Foundation, Deemed to be University., Kuriakose Varghese K ,   UG Scholars, Mechanical Engineering Department, AarupadaiVeedu Institute of Technology, Vinayaka Mission’s Research Foundation, Deemed to be University., Basu Suprateem ,   UG Scholar, Department of Mechanical Engineering , Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Deemed to be University., Ajith  ,   UG Scholar, Department of Mechanical Engineering , Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Deemed to be University.
Published: February 2020

In today’s emerging world, as the demands and expectations of the people grow higher and higher every day, so is the competition. Thus to face the demand and to be competitive & survive in the market, industries have to produce superior quality components without producing waste. This leads every manufacturer to optimize and standardize the processes of every component being produced. One such concept employed is “Lean Manufacturing”. In this paper a novel tool in lean manufacturing is applied. The processes are continuously monitored and collected necessary data to generate VSM and declare the CSM based on the available data. Then the takt time graph and the balanced time – Cycle time – Downtime graph were plotted with the help of which, the scopes for improvements are identified and then the targets are obtained. The FSM is also drawn and a time plan for projects is prepared and monitored continuously. Based on the type of process and the project, different tools are adopted to reduce the cycle time, downtime, waste and thereby increase the productivity. By implementing newer tools, the future demand of the process was successfully proved to be met by the existing line itself and the need of an additional line was defeated, thereby making monetary savings. By implementing this system, the productivity can be constantly increased.
Mechanical Behaviour of Hybrid Composites Prepared using Sisal-Pineapple-Kenaf Fibre
Authors:   Aeronautical department, Hindusthan College of Engineering and Technology, Coimbatore, India., D Tamilvendan , Prabu G* Mari ,   Aeronautical department, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., S Sivaraman ,   Aeronautical department, Hindusthan College of Engineering and Technology, Coimbatore, India., Ravikumar Dr. A. R. ,   Mechanical department, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
Published: February 2020

Variety of application use fibre reinforced composites because of their intrinsic properties in mechanical strength, renewability and low production cost compared to conventional materials. Natural fibres are environmentally friendly their use will not break the budget when used as an alternative to the regular materials. Reinforcement used in polymer is either man-made or natural. Man-made synthetic, metallic, semi-synthetic, polymer fibres have superior specific strength but their high cost of production limits its application and feasibility to make composites. Recently there is a rise in use of natural fibres from various natural resources which are available abundantly. Composites based on natural fibres have their advantages of cost in making the fibres from different vegetables, wood, animals and minerals. In this work a thorough and systematic inquiry regarding better utilization of sisal fibre for making value-added products has been carried out. Various hybrid composite test specimens as per ASTM were prepared with natural fillers such as sisal-pineapple-Kenaf fibres by using hand layup method. The physical and mechanical characteristics of prepared hybrid composite with sisal fibre, pineapple fibre and kenaf fibre are the main objective the research. The various mechanical properties of the hybrid composites like tensile strength, rupture strength, impact strength, shear strength, hardness, and wear strength are studied by standard experiment methods. The experimental results were discussed. The experiments exposed that the use of sisal fibre when compared with similar fibres in a composite increase the most of the physical properties like tensile, rupture, wear properties of the material where as impact strength of the material is lowered. Surface morphology of the sisal fibre after tensile loading is studied microscopically.
A Novel Unscented Kalman Filter Strategy To Enhance Navigation System Performance
Authors:   Lecturer Assistant, Department of Computer Engineering, Cairo University, Cairo, Egypt., Mahmoud* M. , Alaa I. ,   Ph.D Student Alberta University, Canada., Wassal A. ,   Professor, Department of Computer Engineering, Cairo University, Cairo, Egypt, Noureldin A. ,   Professor, Department of Electrical and Computer Engineering, RMC / Queens University, Kingston, Ontario, Canada.
Published: February 2020

The Extended Kalman Filter (EKF) is the most widely estimation algorithm used for nonlinear system such as a navigation system to fuse an inertial navigation system (INS) with Global Positioning System (GPS) which its information has complementary nature to get more accurate navigation information. Unfortunately, the performance of INS/GPS fusion using EKF is degraded due to the linearization error and GPS error. Therefore, a new algorithm is developed to overcome these issues. This algorithm uses the sampling-based Unscented Kalman Filter (UKF) to solve the linearization problem, and ignore the GPS reading when there is a large error in its measurements. The new algorithm is named Adaptive Loosely Coupled Unscented Kalman Filter (ALCUKF). The ALCUKF-based INS/GPS systems are presented for two different datasets. The first dataset is acquired using a high-end tactical-grade SPAN unit featuring Novatel HG1700 IMU module. The second dataset is acquired from a MEMS-based SCC1300-D04 IMU unit from VTI. The results of the new method are compared against reference ground truth trajectories and measured quantitatively using the Root Mean Square Error (RMSE). The ALCUKF increased the navigation system performance significantly when compared with EKF for both datasets as shown in the paper.
Texture Feature Extraction and Classification of Brain Neoplasm in MR Images using Machine Learning Techniques
Authors:   Department. of EC, NMAMIT, Nitte, Karnataka, India, K* Padmavathi , Karki Maya V ,   Department. of EC, Ramaiah Institute of Technology. Bengaluru,
Published: February 2020

Identification of pathology in brain such as tumor lesions is a tedious task. MRI is most of the time chosen medical imaging procedure that often pacts with lenient tissues such as brain tissues, tendons and ligaments. This study aims at texture feature extraction and segregation of brain tumor cases into benign and malignant conditions. The stages involved are segmentation, feature extraction and classification. K-means clustering method is preferred for segmentation and selecting the required region of interest. The textural information is captured from region of interest using GLCM, HOG and LBP patterns. ANN, SVM and k-NN classifiers are used to analyze performance accuracy in classifying the tumor data into benign and malignant conditions in brain MR images. ANN with LM training algorithm provides high accuracy with best performance compared to other two classifiers in identifying benign and malignant conditions of tumors by using a combination of GLCM, LBP and HOG feature extraction process successfully. The recommended method is compared with few current approaches in terms of feature extraction and classification.
Big Data and Artificial Intelligence for E-TOLL
Authors:   Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia., Sudjana* Ayu Ratna Lalitya , Husin Elizabeth ,   Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia.
Published: February 2020

Commuting in Indonesia, an archipelago country, with its geographic location is quite challenging especially when the infrastructure is not well developed in many suburban areas. Land commuter will have to take the toll road to travel to different areas and it requires e-toll card with enough balance to pay. Mostly, problem occurs when the e-toll card is out of balance while the commuters are still in the middle of the toll road and the e-toll machine is not facilitated to offer top up feature where usually the commuter need to wait and borrow the e-toll card from the next commuter to pay at the toll gate and still more. Therefore, this paper will discuss more on the research to solve this problem. The goal of this research is to utilize Big Data and Artificial Intelligent to facilitate the E-Toll system in Indonesia to become better and hopefully keep improving the e-toll service to all land commuters. With the utilization of Artificial Intelligent ability to do the work and modelling human thought process and Big Data with a diversity of high data sources, it needs to be managed by many methods and assistive devices with an appropriate performance. In addition, it aims to determine the constraints that commuters feel while using automated toll gates especially in suburban areas of Indonesia. Methods of research using Systematic Literature Review (SLR). The results of the research will show the ability of these two things in updating the E-Toll system before into a better version continuously.
Attribute Balanced Leveling with Ada Boost Regressor for Predicting Heart Disease using Machine Learning
Authors:   Lecturer, Department of Computer Science, College of Computer Science & Information Systems, Jazan University, Saudi Arabia., Shamsudheen* Shermin , Mathew Rincy Merlin ,   Lecturer, Department of Computer Science, College of Science and Arts, Khamis Mushayt, King Khalid university, Abha, Asir, Saudi Arabia., Devi M. Shyamala ,   Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India.
Published: February 2020

The technological advancement can help the entire application field to predict the damage and to forecast the future target of the object. The wealth of the world is in the health of the people. So the technology must support the technologists in predicting the disease in advance. The machine learning is the emerging field which is used to forecast the existence of the heart disease through the values of the clinical parameters. With this view, we focus on predicting the customer churn for the banking application. This paper uses the customer churn bank modeling data set extracted from UCI Machine Learning Repository. The anaconda Navigator IDE along with Spyder is used for implementing the Python code. Our contribution is folded is folded in three ways. First, the data is processed to find the relationship between the elements of the dataset. Second, the data set is applied for Ada Boost regressors and the important elements are identified. Third, the dataset is applied to feature scaling and then fitted to kernel support vector machine, logistic regression classifier, Naive bayes classifier, random forest classifier, decision tree classifier and KNN classifier. Fourth, the dataset is dimensionality reduced with principal component analysis with five components and then applied to the previously mentioned classifiers. Fifth, the performance of the classifiers is analyzed with the indication metrics like precision, accuracy, recall and Fscore. The implementation is carried out with python code using Anaconda Navigator. Experimental results show that, the Naïve bayes classifier is more effective with the precision of 0.90 for dataset with random boost, feature scaled and PCA. Experimental results show that, the Naïve bayes classifier is more effective with the recall of 0.91 for dataset with random boost, feature scaled and PCA. Experimental results show that, the Naïve bayes classifier is more effective with the Fscore of 0.92 for dataset with random boost, feature scaled and PCA. Experimental results show, the Naïve bayes classifier is more effective with the accuracy of 91% without random boost, 93% with random boosting and 92% with principal component analysis.
Impact of E-Banking Service Quality on Customer Satisfaction
Authors:   Faculty of Management, Asian Educational Institute, Punjab, India, Sharma* Jyotsna , Singh Jagdeep ,   Dean, GNA Business School, GNA University Punjab India., Singh Amandeep ,   Chitkara Business School, Chitkara University, Punjab, India.
Published: February 2020

The main objective of this paper is to measure the impact of E-banking service quality on customer satisfaction. Primary data method is used to collect data by using the interview method over 504 respondents. The random sampling technique has been taken up for the survey by keeping due care for the availability and easiness of the customers. The Multiple regression technique has been employed to measure the effect to service quality dimension on the customer satisfaction. The paper examines the relative strength of each dimension affecting customer satisfaction. It has been found that the overall regression model has been a reasonable fit and there is a statistically significant association between service quality dimension and customer satisfaction.
The use of Smartphone and Social Media of Students to Enhance Individual Learning Styles in Forming Entrepreneurship Competence
Authors:   Management, School of Business Management, Bina Nusantara University, Jakarta 11480, Indonesia., Sudrajat* Jajat , Meiryani*  ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Rahman* Ali ,   Management, School of Business Management, Bina Nusantara University, Jakarta 11480, Indonesia., Sasongko* Agung Hari ,   Management, School of Business Management, Bina Nusantara University, Jakarta 11480, Indonesia., Guzman* Glory A ,   Management, School of Business Management, Bina Nusantara University, Jakarta 11480, Indonesia.
Published: February 2020

The purpose of this learning is to determine individual learning styles by using smartphones in forming entrepreneurial competencies, in an effort to improve the quality of entrepreneurship learning in class with lecturers, doing assignments in class or outside the class as a group, using smartphones and utilizing social media to get business ideas and creating assignment reports. Smartphones and social media that are brought by students and lecturers at any time have not been optimized for entrepreneurship learning, even most lecturers forbid students from opening smartphones while studying in class. The participants of this study were students of Bina Nusantara University from the Faculty of Economics and Communication, Faculty of Engineering, Faculty of Humanities, School of Computer Science and School of Information System. This research uses the Research Development method, which is a series of processes or steps to develop entrepreneurship learning innovations in the classroom by optimizing smartphones and social media, as a medium for classroom learning aids. The results of this study found that 39.6% of students used smartphones to study, 22.0% were used to build relationships, 5.8% for entertainment or reading news, 25.4% for businesses and 7.2% for documentation. Research shows that student learning styles have an influence on the formation of entrepreneurial competencies in building relationships and business that is equal to 47.4%. The greatest amount of influence simultaneously individual learning styles on entrepreneurial competence is 39.6% for learning. Based on the results of this study, it is suggested as follows: (1) the entrepreneurship learning curriculum is always made to improve ability and have competent entrepreneurial trust (Personal Maturity), because 39.6% of students do business using smartphones; (2) facilities and infrastructure to support the teaching and learning process must be continuously evaluated to function and support smartphone media.
The Adoption of Revenue Internal Control in the Event Organizer Company
Authors:   Accounting Department, Binus Graduate Program – Master of Accounting, Bina Nusantara University, Jakarta, Indonesia, Caroline* Stella Tio , Tanasal Anastasia Caroline ,   Accounting Department, Binus Graduate Program – Master of Accounting, Bina Nusantara University, Jakarta, Indonesia, Yanti  ,   Accounting Department, Binus Graduate Program – Master of Accounting, Bina Nusantara University, Jakarta, Indonesia, Widuri Rindang ,   Accounting Department, Binus Graduate Program – Master of Accounting, Bina Nusantara University, Jakarta, Indonesia
Published: February 2020

This research aimed to identify potential risks in revenue cycle and how company manage it, analysis of COSO’s elements implemented in the current company’s internal control and its effectiveness, and suggest improvement as needed based on COSO’s internal control framework. The method of data collection was obtained from interview and observation. Results obtained are internal control in the revenue cycle applied to the company in general is weak, and there is ineffective implementation of internal control which can lead to the possibility of fraudulent act in the company. Hence, as the company’s business keeps growing, it is important to focus more on its revenue cycle system as well as the internal control in order to achieve the most effective and efficient methods in operating the business.
Identification of Astrological belief using Sentimental Analysis by Capturing Opinions from Cross-Domain Individuals
Authors:   Assistant Professor, CBIT, Hyderabad, Gowrinath* C. N. V. B. R. Sri , Kumar B. Srinivasa S. P. ,   Assistant Professor, CBIT, Hyderabad, Dutt Chilukuri Megh Phani ,   Graduate Engineer Trainee, Mobis India Limited Research and Development Centre, Hyderabad
Published: February 2020

Astrology usage is substantially composed of the belief and opinions by individuals in recent times. Astrology describes a huge set of predictions by using a wide range of horoscope charts along with scientific/mathematical computations. Planets movement around twelve houses is the vital thing for Astrological specifications. Astrology is having mutual sides of belief in proportionate and the belief is identified by using concepts like Sentiment analysis, Naïve Bayes classifiers and others. Sentiment Analysis specifies the odds in-favor and against the concept. The current study describes a model to identify the belief in and against cases on Astrological belief; also identifies the deviated opinions with the help of various features using confusion matrix. Training, Tuning and other analytical activities are used to build and verify a model for accuracy. The present study is mainly emphasized on identifying the belief, which is very useful to derive an unambiguous thesis on Astrology in nearby future.
Human Feelings Identification using Facial Gesture
Authors:   Department of DEEE, G. D. Goenka University, Gurgaon, India., Jindal* Anita , Priya Dr. Rashmi ,   Ph.D., Department of CSE, G. D. Goenka. University, Gurgaon, India.
Published: February 2020

This paper describes the approach for a real-time facial gesture is used for human feelings identification, human feelings Identification (HFI) is an essential research fields in computer visions and artificial intelligence systems. Human Face is an import part of the body; it is used for non-verbal communication. This paper proposes a practical working model of human feelings detection on a single as well as group feelings identification, and Group feeling identification is a challenging problem due to obscuration of the hidden body pose variation, occlusion, variable lighting condition, indoor-outdoor siting, image quality. The group feeling identification are used in crowd analytics’, social media, marking, social event detection, public safety, human computing interaction and many more area. The proposed method consists of two-stage of detection: Face detection and Feelings identification. A Haar cascade method is used for detection of the input images and videos; the web camera is used to capture the real-time images and videos. This research is beneficial in the different area of applications Medical, Army, Navy, Airport and multiplex for security and virtual learning environments. Deep learning algorithm along with machine learning convolution neural network provides state of the art solution to classification, classification- localization, object detection, instance segmentation and image captioning. The significate percentage of seven human feelings identification rate in the form of accuracy is improving in emotions identification as compared to the previous schemes.
A Research on Strength of Concrete by Replacing Natural Sand with Granulated Blast Furnace Slag
Authors:   Research Scholar, Department of Civil Engg, Noorul Islam Center for Higher Education, Kanyakumari, India., Rajalekshmi* P, , Arul Jose Dr. J. Prakash ,   Research Supervisor, HOD, Department of Civil Engg. Noorul Islam Center for Higher Education, Kanyakumari, India.
Published: February 2020

There are numerous negative social and environmental effects of overuse of river sand for construction. To reduce this, various substitutes have been used such as quarry dust, demolished concrete waste, industrial waste such as copper slag, eco sand etc. GBFS (Granulated Blast Furnace Slag) is a slag obtained from the manufacture of iron in steel industries. This research aims to investigate the possibility of replacing Granulated Blast Furnace Slag (GBFS) as sand substitutes in concrete. In this research, natural sand was replaced by GBFS in various percentages (0%, 25%, 50%, 75% and 100%) with a constant water cement ratio of 0.45. Tests such as sieve analysis, specific gravity, fineness modulus and bulk density were done for fine aggregates and GBFS sample. Different mixed proportions for different percentage replacement of fine aggregates was obtained for M30 grade concrete as per IS 10262: 2009. The durability test was done for cubes of control mix and GBFS mix (0%, 25%, 50%, 75% and 100%). It was found the strength of concrete was improved due to the addition of GBFS as fine aggregates. Test results showed that the compressive strength of concrete increased with increase in percentage of GBFS up to 75%. Beyond 75%, there was a marginal decrease in strength of concrete.
Anticipatory QoE Mechanisms in 5G Radio Intelligent Controller
Authors:   Department of Telecommunication Engineering, K. S. Institute of Technology, Bangalore, Affiliated to Visvesvaraya Technological Universisty, Belagavi, Karnataka, India., R* Vidhya , P. Karthik ,   Department of E&C, K. S. School of Engineering and Management, Bangalore, Affiliated to Visvesvaraya Technological Universisty, Belagavi, Karnataka, India.
Published: February 2020

3GPP which is working on the 5G specification is also working on the NWDAF (Network Data Analytics Function) which is used for data collection and data analytics in a centralized manner in the 5G Core. ORAN (Open Radio Access Network) is also working on the Radio data collection entities for better handling of the Radio Resource Management which is termed as the Radio Intelligent Controller (RIC). The 5G Network elements and/or the OAM (Operations and Network Management) can decide how to use the data analytics provided by NWDAF and/or the RIC to improve the overall system performance. In this paper we show how to develop anticipatory QoE mechanisms by using the data available at the RIC and the NWDAF. We show that anticipatory AI functionality will help address QoE in a mobile video streaming use case.
Design and Simulation Analysis of 12.4 kWp Grid Connected Photovoltaic system by using PVSYST Software
Authors:   Assistant Professor, Department of EEE, Dr. K. V. Subba Reddy College of Engineering for Women, Kurnool, India., Prasad* B. Kailash Krishna , Reddy K. Prahlada ,   Assistant Professor, Department of EEE, S. V. College of Engineering, Kadapa, India., Rajesh K. ,   Assistant Professor, Department of EEE, Dr. K. V. Subba Reddy College of Engineering for Women, Kurnool, India., Reddy P. Viswanath ,   Assistant Professor, Department of EEE, Dr. K. V. Subba Reddy College of Engineering for Women, Kurnool, India.
Published: February 2020

The grid connected photovoltaic based systems are gaining popularity day by day, since it is considered to be as a reliable and eco friendly system. This paper mainly discusses about the design aspects of a grid connection based solar photovoltaic system. As a part of design, a 12.4kWp photovoltaic array nominal power generation at standard temperature conditions has been considered and simulated the same in PVSYST software environment. The paper throws light on various aspects like developing sankey diagram of the power output losses, examining the performance ratio and its energy output of photovoltaic plant which is to be installed, investigating the performance of a selected photovoltaic module, fixing of tilt angle, plotting of power and temperature distribution related curves through software simulation. This paper also shows the recommendations pertaining to connection of modules in a string mode and shown the power sizing curve of inverter output.
An Isolated Traffic Signal Design using a GA-based Optimization Technique
Authors:   Department of Civil Engineering, National Institute of Technology Karnataka, Surathkal, India., Bandi* Marsh M. , George Varghese ,   Department of Civil Engineering, National Institute of Technology Karnataka, Surathkal, India.
Published: February 2020

The Genetic Algorithm (GA) approach is an evolutionary optimization technique, which is developed based on the fundamental theories of natural selection and evolution. The present study focuses on the design of an isolated traffic signal for a two-phase intersection using the conventional method and GA-based optimization technique for unsaturated traffic flow conditions. The methodology of the study includes formulation of an objective function and the constraints, formulation of the constraint violation coefficient, formulation of the modified objective function, formulation of the fitness index (fi), and the GA operations to determine the best green signal timings. The intrinsic nature of Genetic Algorithms in performing elitism, which assures to carry forward the best solution identified in each generation to the next generation. An example problem was solved to demonstrate elitism using binary genetic algorithm with a single variable approach. In the GA operation, parent strings/chromosomes are selected and the crossover is performed along with mutation to form the new offspring’s. Mutation helps in avoiding the convergence of the solution to local optima. In this operation Fitness Index (FI) values of each strings/chromosomes are used as a measure to identify the parent strings to perform GA operations for the next generation. The results of the study indicate that the proposed technique can be used to optimize the signal timings of an isolated traffic signal, this will influence on reducing the delays at the junctions.
Optimum Power Flow and Optimum Placement of Unified Power Flow Controller (UPFC) using Optimization Techniques
Authors:   E & E department, Jain College of Engineering, Belagavi, India., Mathad* Vireshkumar , Kulkarni Gururaj ,   E & E department, Jain College of Engineering, Belagavi, India.
Published: February 2020

This paper presents the Optimum Power Flow (OPF) and Optimum placement of UPFC using optimization techniques, Particle Swarm Optimization (PSO) and Cuckoo Search (CS) Algorithm. The IEEE 30 bus system is used as a test system and performance of PSO and CS algorithm evaluated with and without UPFC on test system. The optimum placement of UPFC is carried out using OPF. Further it is seen that by using CS algorithm transmission loss, generation cost are minimized compared to PSO algorithm. The optimum placement of UPFC improves the voltage profile of test bus system.
Iot Enabled Pipeline Leakage Detection and Real Time Alert System in Oil and Gas Industry
Authors:   Asst. Professor, Dept. Of Electronics And Communication, Srm Institute Of Scienceand Technology, Ramapuram, Chennai-89, Tamil Nadu, Lalitha* K. , V Balakumar ,   Student, Dept. Of Electronics And Communication, Srm Institute Of Scienceand Technology, Ramapuram, Chennai-89, Tamil Nadu, S Yogesh ,   Student, Dept. Of Electronics And Communication, Srm Institute Of Scienceand Technology, Ramapuram, Chennai-89, Tamil Nadu, K.M Sriram ,   Student, Dept. Of Electronics And Communication, Srm Institute Of Scienceand Technology, Ramapuram, Chennai-89, Tamil Nadu, V Mithilesh ,   Student, Dept. Of Electronics And Communication, Srm Institute Of Scienceand Technology, Ramapuram, Chennai-89, Tamil Nadu
Published: February 2020

Automation and control systems are necessary throughout oil & gas industries, to production and processing plants, and distribution and retailing of petroleum products. Pipelines are the efficient mode of transportations of fuels for processing plants over long distances. At present Automation is achieved by using PLC’s that are communicated through SCADA. But it is complex and remote operation is not possible. With the introduction of IoT, the pipeline leak detection system is improved through real-time monitoring of the pipelines. Our Proposed system is designed to detect even small leakage that occurs within the pipeline. The implementation of IoT in oil and gas industries prevents accidents and to make quick decisions based on real-time data.
2555 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: E6469018520/2020©BEIESP DOI:10.35940/ijrte.E6469.018520 Journal Website: www.ijrte.org Optimized Noise Reduction in Images Applying Artificial Bee Colony Based Technique
Authors:   Research scholar, Research and Development Centre, Bharathiar University, Tamilnadu, India., K. A.* Manjula , kumar Dr. C. Suresh ,   Research and Development Centre, Bharathiar University, Tamilnadu, India.
Published: February 2020

Digital image processing techniques have become inevitable in image related research areas and the major challenge is in collecting good quality images. Usually images suffer from noises and this will affect the accuracy of research findings. Because of this reason, noise removal is a crucial step in image processing tasks. Biologically-inspired soft-computing algorithms, originated by imitating evolution and foraging techniques of insects and animals in nature, have attracted a lot of research interests . This study presents development of a noise reduction technique based on a biologically inspired algorithm – Artificial Bee Colony Algorithm(ABC) - and analyses its optimization capabilities. This study throws light towards the potential of ABC algorithm to work as an effective smoothening filter for images.
Prediction of Diseases in Smart Health Care System using Machine Learning
Authors:   UG Scholar, Department of Computer Science and Engineering, Sabetha school of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India., Ali* N. shabaz , Divya G. ,   Assistant Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
Published: February 2020

The main aim of this paper is to discuss about the use of Data mining in the field of Medical health care. These data mining techniques can be used in various fields of Research and Education also. The Smart Health Prediction System Is the Fastest emerging area in the field of medical science. Data mining is one of the fields of computer science that uses the existing data in medical field to predict the occurrence of diseases. By the use of machine learning and database management tools we can extract new patterns from group of large datasets and gain knowledge. In the following paper the survey is made on how the data mining techniques are used along with the machine learning to predict the diseases based on the user symptoms.
Trust Negotiation among IoT-based Objects in Critical Healthcare Environment
Authors:   Head of Information Security and Compliance in Mirra Healthcare, USA., Chakravartula* Raghu Ram Nallani , Lakshmi Prof. V. Naga ,   HOD, Department of computer science in GITAM (Deemed to be university), India.
Published: February 2020

In pervasive environment, the opportunity of unidentified objects involving in malevolent interactions increases due to the lack of centralized services. Traditional authentication and access control rules cannot be applied due to limitations of foot print of the objects used in Internet of Things. The proposed model presents authentication and authorization for an IoT-based ad-hoc objects using human notion of trust. The paper presents testing the proposed model with relevant use-cases in patient monitoring healthcare devices and presents the analysis results used in the critical care areas.
Forecast of Corona Losses using Grey Wolves on Variant Load Condition
Authors:   Student of Master in Technology Electrical Engineering Department, Alakh Prakash Goyal Shimla University Apgsu Shimla, H.P. India, Sharma* Manoj , Mohan Anand ,   Professor, Electrical Engineering Department Alakh Prakash Goyal Shimla University Apgsu Shimla, H.P. India, Sharma Arun Kumar ,   Assistant Professor, Electrical Engineering Department Alakh Prakash Goyal Shimla University Apgsu Shimla, H.P. India
Published: February 2020

Depending upon material science law and guidelines, the factors of overhead lines in network, electric and meteorological data recorded the essential relationships with the corona losses and the states of climate are normally spotted. Corona losses occurred to be characterized just by weighting components for particular states of climate of average twelve Bulgarian territories showing components of complete transmission lattice. A determining unit imply on a measurable procedure worried on an hourly premise corona shortfall is inspected and proposed to have the option to decrease the lopsided characteristics costs. This casing work includes a proposed model of learning for limiting the corona losses. The deficiencies of suggested approach lessen in each situation since it speaks to an effective learning adaptation and at the hour of testing it productively figure heat/temperature giving an extraordinary effect to fundamentally losses decrease. The fundamental purpose for the improvement of learning approach is that the learning approach sums up the information however expectation approach utilizes dynamic choice and disregards past information execution.
Robust Classification using Twosome Classifier
Authors:   Department of Computer Engineering, Vishwakarma Institute of Information Technology, SPPU, Pune, India., Raut* Dr. Roshani
Published: February 2020

The proficient knowledge revolution with the concept class detection is a significant challenge for the incremental learning classification, here the batch of data is flowing unremittingly. The algorithm recommended in this research learns continual raw data, transform preceding knowledge to the present data without stating to the longstanding data and able to proficiently allow new concept class noticed by the classification. A major aim was knowledge transformation and the accumulation of the same with concept class detection in the incremental data flow. After the analysis of non-incremental ML approaches for classification and incremental learning algorithms in the literature, this research introduces new incremental learning algorithm, which uses twosome classifiers, in which knowledge transformation and new class detection have been done efficiently. The performance of the system is validated using simulation results on available datasets. The class wise and batch wise accuracy is calculated. The projected technique is also used to detect concept class detection.
الأثر الجمالي لتقنيات الأظهار للعمارة الداخلية
Authors: Al -Yousif Ibrahim jwad , Alkhaiat Rand Abbas
Published: February 2020

يبحث الإنسان عن أداة لعكس أفكاره ومحاكاة ما حوله من معالم ومن خلال تقنيات الرسم المتعددة والمختلفة أصبح بإمكانهتصوير ما حوله وعرضه بطرق مختلفة ككل متكامل، حيث يتطلب استخدام التقنيات توظيف الخبرة والمهارة بالرسم وبالأداءالمعماري. فقد ركزت العديد من الطروحات الفلسفية والنظرية المعمارية على كيفية استخدام تلك التقنيات إلا أنها لم تركز على طبيعةالأثر الجمالي لكل تقنية واختلافه عن الأخرى، لذا تحددت المشكلة البحثية بالحاجة العلمية لمعرفة طبيعة الأثر الجمالي لتقنياتالإظهار في العمارة الداخلية، إذ يحاول البحث الكشف عن طبيعة الأثر الجمالي لتقنيات الإظهار من خلال أنماط الشعور في كلاالفضاءين الافتراضي والواقعي، مفترضاً تأثر العمارة الداخلية بتقنيات الإظهار.
تأثير الخصائص التصميمية لمانعات الشمس في ضوضاء الرياح الصادرة منها
Authors: Al-Jawadi Miqdad Haider , Askar Samar hilal
Published: February 2020

في المناطق الح ارة كالع ا رق والتي تكون فيها الطاقة الشمسية عالية، يفضل وضع برو ا زت او تكس ا رت فيالواجهة كمانعات شمس او ان تحمل الواجهة مانعات شمس صريحة، ان هذه البرو ا زت والمانعات الصريحة تسببفي بعض الحالات عند زيادة سرعة الريح على الواجهة أصواتا من صفير أو غي ره مما يزعج شاغلي المبنى خاصةاذا كان المبنى سكنيا وكانت هذه الفضاءات المزودة بمانعات الشمس غرف نوم، وبأعتبار أن عددا كبي ا ر من الاشكالالهندسية لمانعات الشمس يمكن أن تؤدي نفس الكفاءة في منع اشعة الشمس رغم اختلاف أشكالها فانه من المفيدللممارسة المعمارية تقديم صورة عن اثر اختلاف ألاشكال في تكوينها للأصوات المزعجة لتساعد المصمم على تجنبماقد يحدث بعد انتهاء التصميم من أصوات قد تؤثر في الشاغلين أولتنبيه المصمم لاتخاذ المعالجات المناسبة فيحال رغبة المصمم أعتماد أشكالاً مسببة للضوضاء. ولاجل توفير معلومات قابلة للافادة من قبل المعماريين فقد تمد ا رسة انواع المانعات وأختبارها على برنامج خاص بحركة الهواء للتنبؤ بالاصوات التي يسببها كل ن وع اذا كانتالريح موازية له او مائلة عنه او عمودية عليه، وقد أظهرت النتائج انه من الممكن اعطاء المصمم تصو ا رت واضحةعن كل ن وع على وفق الاتجاه وعلى وفق أرتفاع البناية ا رجين ان يكون ماقدمناه من عمل يغني المكتبة المعماريةومن الله التوفيق .
تصميم المانعة الشمسية الافقية في مباني مدينة بغداد
Authors: Saleem Younis Mahmoud
Published: February 2020

ان استخدام السيطرة الشمسية ووسائل التظليل هو جانب مهم للعديد من ست ا رتيجيات تصميم المباني الكفوء للطاقة، حيثيعتبر تظليل المبنى الخطوة الاولى ضمن الانظمة الطبيعية لتبريد المبنى. فنقطة البداية لأنظمة تبريد المبنى هي تقليلالكسب الح ا رري الشمسي بمنع الاشعة الشمسية من الدخول الى المبنى في المواسم الح ارة فضلاً عن امكانياتها لإدخالالضوء الطبيعي والاستفادة منها في تحقيق التدفئة الذاتية للمبنى في المواسم الباردة.اهتم هذا البحث بجانب تصميم المانعة الشمسية الافقية لمباني مدينة بغداد. وتم تحديد المشكلة البحثية ب: الحاجة لد ا رسةالعوامل الم ؤثرة في تصميم وتحديد الابعاد الملاءمة للمانعات بما ينسجم مع الحالات المختلفة للمباني في مدينة بغداد،هدف البحث الى د ا رسة المانعات الافقية الخارجية والعوامل الم ؤثرة في تصميمها كونها المانعات الاكثر فعالية والاكثراستخداماً من بين بقية الانواع من المانعات.تمّ تحليل المتغي ا رت المؤثرة في تصميم المانعات الشمسية وهي درجة ح ا ررة الهواء الخارجي وشدة الاشعاع الشمسي خلالالاشهر الحارة والباردة لمدينة بغداد. جهز البحث للمصمم المعماري القيم الملاءمة لإمتداد المانعات الشمسية وفقاًللتوجيهات المختلفة، علاوة على امكانية التنبؤ بقياس كفاءة جميع احجام المانعات الشمسية الافقية التي توضع فوقالشبابيك. طبقت الطريقة الخاصة بالبحث على تصميم مانعات شمس لشبابيك ذات توجيهات مختلفة أظهرت خلالهامجالات المرونة والامكانيات المتاحة في تصميم المانعة الشمسية الافقية.توصل البحث الى عدد من الاستنتاجات طرحت بهيئة خطوط استرشادية للمصمم تساعده في اتخاذ ق ا ر ا رت حول استخدامالمانعات الشمسية في الحالات التصميمية المختلفة.
التناغم اللوني في البيئة الحضرية
Authors: Al-Hinkawi Wahda Shukur , Kamash Nada Abdulmueen Hasan
Published: February 2020

تناولت العديد من الد ا رسات الغير مدروسة مشكلة التشوه البصري وعدم التناغم في الواجهات الحضرية منحيث الطرز والتشكيلات والتكوينات والمواد ... الخ، الذي انعكس سلبا على الشكل الحضري والطابع الجماليللمدينة، وكنتيجة للاقحامات الغير مدروسة للألوان والنشاز الواضح في تصميم عناصرها. يتناول هذا البحثد ا رسة مفهوم التناغم في العمارة بصورة عامة والبيئة الحضرية بصورة خاصة في محوره العام واستخلاص أهمصيغ تحقيق التناغم اللوني في الواجهات الحضرية في محوره الخاص، فجاءت مشكلة البحث لتنص على" عدم وجود تصور واضح عن صيغ تحقيق التناغم اللوني في الواجهات الحضرية ", وفرضية البحث في" إمكانية تحقيق التناغم في الواجهات الحضرية من خلال صيغ التناغم اللوني المعتمدة ". تم اختبار فرضيةالبحث في مشروع إسكان حضري اعتمدت الألوان كأحد العناصر الأساسية في تصميم واجهاته بعد إج ا رءوقد استنتج البحث الأتي: ،(Adobe Photoshop CS بعض التعديلات الضرورية للتطبيق في برنامج ال ( 5-1 تتحقق قيم التناغم بصورة مختلفة على وفق مستوى صيغ التناغم اللوني المعتمدة في التصميم مما يؤشر وجود علاقةتكاملية بين علاقات التناغم وصيغ التناغم اللوني.-2 إن تغيير صيغ تناغم اللون له الأثر في قيمة التناغم الشكلي.
Developing Green Infrastructure for Baghdad City
Authors: AbdulRazzaq Najeel Kamal , Abdul Raheem Mayasa Farkad
Published: February 2020

The public green spaces in Baghdad city have an obvious shortage and doesn’t fulfill and meet the needs of the population and the required open space criteria, moreover these green spaces are disjointed, disconnected and does not function as a unified system, that is why it suffers from neglect which contributes to deterioration of the city’s environment and increasing air pollution.

    Human beings depended on nature into providing clean air and good health, with the growth of the population and the urban areas, there has been negative influence on the natural environmental system. A new term lately appeared “Green Infrastructure”especially in the developed countries (USA, UK and other countries in Europe), as one form of solutions to conserve the natural environmental system of green and open spaces. Consequently this thesis depended on this new green space approach to solve the green spaces problem in Baghdad city and suggested new sites in different locations in the city to be a new green spaces connected to the existing green spaces in Baghdad. This will increase the public green space areas, accessibility to these areas and social cohesion, it will also contribute to the improvement of the city’s environment by reducing air pollution and reducing air temperature especially during the long summer season. Other economic benefits could be achieved by planning for a connected network of green spaces in Baghdad city as well.
البيئة الصوتية للمدن
Authors: Hassan Susan Abd
Published: February 2020

تميزت البيئة الصوتية في مدينة بغداد التقليدية بعناصر وعلاقات صوتية محددة عرفت بها بيئة الانسان الصوتية، وكان للاصوات الطبيعية المتمثلة باصوات الانسان والحيوان وغيرها من اصوات الصناعات ووسائل النقل التقليدية الاثر الكبير في حياة الانسان اليومية. الا ان التغيير في مقتضيات الحياة اليومية من ظهور وسائل النقل الحديثة وتطور الصناعات الحديثة المختلفة. رافقها تغيير في بنية النسيج الحضري التقليدي تمثلت بفتح الطرق المستقيمة لحركة المركبات في النسيج التقليدي وتركيز البناء وارتفاعه على جانبي هذه الطرق، مع تغيير نمط الفعاليات من الاستعمال السكني الى التجاري او الصناعي قد ساهم في تغيير صفات البيئة الصوتية المميزة لمدينة بغداد التقليدية وإدراك الانسان للبيئة الصوتية الحديثة وتعريفه لها.

تم اعتماد المنهج البحثي التحليلي والدراسة الميدانية التطبيقية من خلال اجراء القياسات الميدانية لمناسيب شدة الاصوات المسموعة كمرحلة اولى، وتوزيع عدد من استمارات الاستبانة على المتلقين للبيئة الصوتية كمرحلة ثانية لتقديم ارائهم عن نمط الاصوات المسموعة ومدى التفضيل الصوتي لها. كما تم اختيار مدينة الكاظمية كمثال لايزال قائما على المدن التقليدية التي شهدت تغييرا في بنية نسيجها الحضري التقليدي وبيئتها الصوتية. مع اختيار نموذجين دراسيين ضمن مدينة الكاظمية للمقارنة ما بين النمط الحديث للشوارع المتمثل بشارع أكد والنموذج الثاني لاحد الازقة التقليدية المتعرجة. اظهرت نتائج البحث وجود علاقة ثابتة ما بين مناسيب شدة الصوت المسموع وبين التفضيل الصوتي له، اذ كلما زاد منسوب شدة الصوت قل تقبله من قبل المتلقين. كما تبين ان انماط الاصوات مؤشر مهم في في تعريف البيئة الصوتية مقارنة بمنسوب شدة الصوت، وان التفضيل الصوتي الاضعف كان للأصوات التكنولوجية مثل اصوات المرور والمولدات الكهربائية في الشوراع الحديثة يقابله زيادة في التفضيل للاصوات الطبيعية في الزقاق التقليدي.