-74813b3e17f460286df-f7 20220609063401336 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2019 8 4 University School of Information and communication technology, Guru Gobind Singh Indraprastha university, Delhi, India. Shubhra Goyal Jindal* Arvinder Kaur University School of Information and communication technology, Guru Gobind Singh Indraprastha university, Delhi, India. Class imbalance problem is often observed when instances of major class exceed instances of minor class. The performance of machine learning techniques is immensely afflicted by imbalanced data in several fields. The skewed distribution either predicts the majority class with high error rate or will not foresee the minority class. To solve the problem of imbalanced data of software bugs, Synthetic minority oversampling technique (SMOTE) is used which balances the imbalanced datasets of Apache Projects. It is applied on summary of bugs to balance the dataset and predicts severity at system and component level. Several machine learning techniques are applied on imbalanced as well as balanced datasets to predict the severity of software bugs using textual description. Test outcomes and statistical analysis shows improved results on balanced datasets in respect to Gmean and balance metrics instead of machine learning techniques applied on imbalanced data. Evaluation metrics Gmean improves by 34% and balance by 11% at system level and by 42% and 62% at component level. Further, it was observed that solving class imbalance problem on textual data is helpful in augmenting the performance. 11 30 2019 2687 2695 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7297.118419 https://www.ijrte.org/portfolio-item/D7297118419/ AMA University, Philippines. Delaney C. Ofrecio Patricia Mae M. Maño* Cost Estimate Specialist, Circuit Solutions Philippines.. Drowning is the third leading unintentionally injury death in the world, accounting for 7% of all injury-related deaths. There are estimated 360, 000 annual drowning worldwide. Individuals with increased access to water are most at risk of drowning. In this study the researchers have come up with a wearable device that can help with the prevention of this cause. Through research and development, the Drowning Detection System can easily detect if the person is drowning by informing lost communication of the transmitter underwater. It displays the time limit status of the person in the water using Arduino Uno interfaced to and LCD screen and gives notification or monitor the status of a person in the water using a transmitting and receiving circuit using RF (radio frequency). 11 30 2019 2696 2699 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7299.118419 https://www.ijrte.org/portfolio-item/D7299118419/ Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Selvakumar K* Rajesh M Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Eshwar S Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Shraveen BS Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. YouTube is an acclaimed video information source on the web among various social media sites, where users are sharing, commenting and liking/dis-liking the video along with the continuous uploading of videos in real-time. Generally, the quality, popularity and relevance of results obtained from searching a query are obtained based on a rating system. Now and then few irrelevant and substandard videos are ranked higher because of higher views and likes. To address this issue, we put forth a sentiment analysis approach on the user comments based on Natural Language Processing. The suggested analysis will be helpful in providing a desirable result to the search query. The effectuality of the system has been proved in this paper using a data driven approach in terms of accuracy. 11 30 2019 1370 1375 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7303.118419 https://www.ijrte.org/portfolio-item/D7303118419/ Universitas Bhayangkara Jakarta Raya, Yatty Maryati One of indicator of successful development is to increase life expectancy and this lead us to consequences of increasing of elderly population. And these matters shall become challenges in development itself. But it is unfortunate and ironically, that it turns out that the elderly cannot reach access to welfare services, because of development, so they cannot fulfill their living needs adequately. If these problems cannot be anticipated from now on by our government, then the increasing number of elderly people shall be borne by the government. And the implication to the development process will experience various obstacles. The aim of this article is to implement Law No. 13 of 1998 about Elderly Welfare towards healthy, independent, quality, creative and productive elderly so that their welfare is materialized, through maintenance of cultural and kinship system and closer to God Almighty. As for the method of implementation, are through the collection of secondary data from the results of several activities to improve social welfare of the elderly, which displaying reduction and data analysis and drawing conclusions. The realization of healthy, independent, quality, creative and productive elderly, through easy access, various social services and training. 11 30 2019 562 464 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7304.118419 https://www.ijrte.org/portfolio-item/D7304118419/ Graduate School of Business - University Kebangsaan Malaysia. Dr. Abdulrahman Al Shikhy* Prof. Zafir Mohamed Makhbul Faculty of Economics and Management- University Kebangsaan Malaysia. Zainab Ali Rawshdeh Graduate School of Business - University Kebangsaan Malaysia. Rasidah Arshad Faculty of Economics and Management- University Kebangsaan Malaysia Khairul Anuar Mohd Ali Graduate School of Business- University Kebangsaan Malaysia The aim of this study is to predict the perspective of the end-user's resistance for using HRIS application in the context of public healthcare sector in Saudi Arabia. It attempts to open the black box of dispositional resistance to change (DRTC) by conceptualizing it as a dimension set. Furthermore, this study will incorporate the moderating effect of conscientiousness from big five factors of personality traits. Which will provide a better explanation about the influence of DRTC, and an accurate weight of effects caused by the end-user differences. The results were obtained using the survey method, involving 373 responses. The structural equation modelling (SEM) was used to test the hypotheses. The result showed that routine seeking influenced both perceived ease of use and perceived usefulness, and that both of perceived ease of use and perceived usefulness significantly predicted behavioural intention, also that Conscientiousness moderate the relationship between behavioural intention and user resistance behaviour. Theoretically, the study suggests that end user’s resistance could be investigated and understood via various theories in a single model. The findings suggest that managers and system developers need to engage the end-users in developing HRIS in the public healthcare sector. 11 30 2019 565 572 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7305.118419 https://www.ijrte.org/portfolio-item/D7305118419/ Assistant Professor, Department of Commerce, Bharata Mata College, Thrikkakara, Cochin,Kerala Sujith A S* Asha John Assistant Professor, Department of Commerce, Bharata Mata College, Thrikkakara, Cochin,Kerala Kochi-Muziris Biennale is an ecumenical carnival of voguish art held in Kochi Kerala. It is the biggest dexterity carnival and largest voguish art fiesta in Asia. Kochi Biennale foundation collaborating with government of Kerala have initiated the Kochi-Muziris Biennale. The display of voguish art is spread across Kochi, with manifestations being held in galleries, site specific installations in public area heritage buildings and disused structure. The impact of Biennale in the economy of Kerala is an important area for a research work. But in this study we tried to understand the socio - cultural and economic impact of Kochi- Muziris Biennale in the state of Kerala. The study is analytical in nature and data collected from different classes of employees’ from various sectors and also from public. Primary and secondary data are collected for the study. The primary data are collected with the help of standard questionnaire and different journals, magazines and periodicals are used as secondary data. 11 30 2019 573 577 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7306.118419 https://www.ijrte.org/portfolio-item/D7306118419/ Assistant Professor, Department of Mechanical Engineering, Amity School of Engineering & Technology, (U.P.) India. Prem Narayan Vishwakarma* Ajay Sharma Assistant Professor, Department of Mechanical Engineering, Amity School of Engineering & Technology (U.P.) India. This study aims to analyze the impact of the Hindi language over English Language in the digital/ online shopping. This study helps to understand the importance of the various languages and its usage in the online and social medial marketing. When it comes to online shopping the language used is very important for the buyer to purchase the product or the service which is required for them. The data is collected from 50 sample population whose regional language is Hindi. The sample method used in Judgmental Sampling. The study shows that online shopper prefers to use English Language while purchasing online. Simple percentage analysis and correlation are the tools used for data analysis. The study reveals that though Hindi is official language, English is the most preferred language while it comes to online shopping and purchasing the product online. The language used, review of the product and the feedback about the product is very essential for the other similar buyers to purchase the product. These criteria will improve the consumers trust and goodness to purchase the product. 11 30 2019 2700 2703 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7308.118419 https://www.ijrte.org/portfolio-item/D7308118419/ Hindustan Institute of Technology and Science, Padur, Chennai. India. Ashish P. Ramdasi* K. M. Mehata Hindustan Institute of Technology and Science, Padur, Chennai, India. Systematic diagnostic version of Fault dependency (D-matrix) mostly use for setup the fault method records and its contributing courting on the classified system-degree. It includes dependencies and association between recognizable failure approaches and signs and symptoms related to a machine. Proposed system in this paper describes an relations of domain primarily based textual content repository for construction and renovate combined data dependency matrix through mining lacks of the tuple exact unstructured text ,cumulative during the analysis incidents. Here paradigm is combined D matrix and then fault analysis through textual content mining using advance data preprocessing technique approach to pick out dependencies. Using real-existence statistics accumulated and validated in proposed method. 11 30 2019 1376 1379 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7309.118419 https://www.ijrte.org/portfolio-item/D7309118419/ Department of ECE, Kongu Engineering College, Perundurai ,Erode ,Tamilnadu, India Dr. Balambigai Subramanian* Milk is a nutrient - rich white liquid food produced by mammals and is mostly consumed by human beings in their day to day life. Milk contains various nutrients such as proteins, calcium, Vitamin D, Vitamin K, Vitamin E, Vitamin A, lactose and minerals which are essential for the well being of the human beings. It is sometimes found that there is a presence of infective bacteria in raw milk. These bacteria may cause various diseases in human beings when consumed. This leads to poor health of the people causing economic burden to them along with disruption of their daily activities. Hence, it is essential to identify the presence of disease causing bacteria to analyze the quality of milk in real time , thereby preventing people from buying the infected milk. This work concentrates on identification of concentration of various gases that is produced in the infected raw milk by the disease causing bacteria . This spoilt milk also emanates bad odour and causes change in taste of milk. The proposed system uses PIC microcontroller and gas sensors to detect the concentration of various gases that are produced by various disease causing bacteria in raw milk and sends the data from the sensors to the user via Bluetooth for analysis. This system is very much helpful in real time due to the detection of disease causing microbes that may be present in raw milk which can be identified by the presence of ethanol, acetic acid, propane, methane and acetaldehyde gases, thereby preventing the use of spoilt milk by the people in milk diaries or at home. 11 30 2019 578 581 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7313.118419 https://www.ijrte.org/portfolio-item/D7313118419/ Master degree in Business Analytics from Sofia University “St. Kliment Ohridski Danail Sandakchiev The purpose of this paper is to examine a new classification algorithm based on the well-known k nearest neighbors technique that achieves better efficiency in terms of accuracy, precision and time when classifying test observations in comparison to classic k nearest neighbors.The proposed methodology splits the input dataset into n folds containing all observations. Each record is allocated to one of the folds. One of the folds is saved for testing purposes and the rest of the folds are used for training. The process is executed n times. The pair of train/test subsets which produces the highest accuracy result is selected as final model for the respective input data.18 different datasets are used for experiments. For each dataset, the classic k-NN is compared to the proposed method (Mk-NN) using accuracy, F1 score and execution time as metrics. The proposed approach achieves better results than classic k-NN according to all used metrics.Based on experiments with validation subsets, evidence of overfitting was not found.This paper suggests a novel method for improvement in accuracy, precision, recall and time when classifying test observations from a dataset. The approach is based on the concept of k nearest neighbors. However, what separates it from classic k nearest neighbors is that it tries to find train and test subsets of the original dataset that best represent the input dataset using the k-fold method. 11 30 2019 517 524 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7314.118419 https://www.ijrte.org/portfolio-item/D7314118419/ Research Scholar, Department of Physics, Pondicherry University, Puducherry, India Vamsi Krishna Vadla* Ramesh Naidu Annavarapu Associate Professor, Department of Physics, Pondicherry University, Puducherry, India Studies on signal processing of biological activities is a way to ascertain the anatomical and functional behavior of complex systems. Many biomedical signals represent their significance for understanding the systems, like ECG signals of heart and EEG, MEG signals of brain’s electro- and magneto- behavior reveals their importance. Availability of enormous amount of EEG data, with unwanted noise and artifacts, from complex systems, is challenging to uncover the underlying dynamics of signals sources. Functional analysis of this data requires various methods to remove the artifacts and noise present in it and further investigation of the system dynamics. In this paper, we discussed the removal of artifacts and noise from brain’s EEG activity to achieve artifact rejections of continuous EEG data and to apply Independent Component Analysis (ICA) to analyze the event-related tasks. Cluster decomposed signal components allow us to visualize the independent components of any number of subjects and subject groups. Differentiating vast electrical activity of an abnormal subject in comparison with a normal subject is possible with the decomposing signal. ICA approach helps in correlating the event-related EEG signals for a subject in two or more conditions of the same experiment; hence, it suggests in creating the data sets of epochs for every condition. 11 30 2019 582 586 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7315.118419 https://www.ijrte.org/portfolio-item/D7315118419/ PG Scholar-EE, Main campus, I.K. Gujral Punjab Technical University, Kapurthala, Jalandhar, Punjab, India. Sunny Vaish* Dr. Deepika Bhalla Assistant Professor-EE, Main campus, I.K. Gujral Punjab Technical University, Kapurthala, Jalandhar, Punjab, India. Dr. Akhil Gupta Assistant Professor-EE, I.K. Gujral Punjab Technical University, Batala, Gurdaspur, Punjab, India. This paper discusses the modelling and simulation of a Solar Photovoltaic (SPV) grid integrated system using parallel topology to accomplish load demand. Maximum Power Point Tracking (MPPT) control is employed for the determination of maximum power level under variable solar radiation and ambient temperature levels. Proportional Integral (PI) type voltage and current controllers have been employed for generating a required switching control signal. Under changing environmental conditions, Perturb & Observe (P&O) MPPT algorithm tracks the DC reference signal and controls the current regulator to obtain the maximum power from SPV array. It has been found that MPPT control tracks the maximum DC link voltage around reference value even under dynamic conditions. Voltage and current measurements have been performed at various Point of Common Couplings (PCCs) under changing environmental conditions. Voltage Source Converter (VSC) and utility grid values have also been compared. MATLAB results obtained through two case studies justify the implementation of our proposed system which is beneficial for research engineers working in various power quality assessment studies. 11 30 2019 1380 1386 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7318.118419 https://www.ijrte.org/portfolio-item/D7318118419/ PhD student, Department of Electrical and Electronic Engineering, University of Technology, Iraq. Hayder Yousif Abed* Amjad J. Humaidi Deputy Dean, Department of Control and System Engineering, University of Technology, Iraq. Abdulrahim Thiab humod Asst. Professor, Department of Electrical and Electronic Engineering, University of Technology, Iraq. Ayad Q. Al-Dujaili PhD student, Department of Electrical and Electronic Engineering, University of Technology, Iraq. This article presents design and implementation of Interval Type-2 Fuzzy Logic Controller (IT2FLC) for speed control of brushless DC motor (BLDCM) based on LabVIEW package. For the purpose of comparison, the performance of IT2FLC is compared to Type-1 FL controller (T1FLC). For fair comparison, both schemes of FL controllers are set with the same number of membership functions and input-output gain values. The robustness characteristics of both FL controllers are assessed in terms of dynamic performance and load rejection capaility. The design of IT2FLC and T1FLC are made and implemented within LabVIEW environment and the effectiveness of controllers are verified experimentally. The experimental results showed that IT2FL controller gives better robustness under load variation than conventional T1FL controller. 11 30 2019 587 592 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7319.118419 https://www.ijrte.org/portfolio-item/D7319118419/ Department of Mechanical Engineering, BMS College of Engineering, Bengaluru-560 019, Karnataka, India Shivakumara N V* Dr.Bheemsha Arya Department of Mechanical Engineering, BMS College of Engineering, Bengaluru-560 019, Karnataka, India The refrigerants are usually provided in the conventional refrigeration system despite the fact that, they produce CFCs and HCFCs, which are hazardous to the environment. However, these disadvantages can be overcome using air or inert gas in the thermoacoustic refrigeration system. The present research involves the effect of spacing of parallel plate stack on the performance of thermoacoustic refrigerator (TAR) in terms of temperature difference (ΔT). The entire resonator system as well as other structural parts of the refrigerator are fabricated by using PVC to reduce conduction heat loss. Three parallel plate stacks have been used to study the performance of TAR considering different porosity ratios by varying the gap between the parallel plates (0.28 mm, 0.33 mm and 0.38 mm). The parallel plate stacks are fabricated by using aluminium and mylar sheet material and the working fluid used for the experimental study is helium. The experiments have been carried out with different drive ratios ranging from 0.6% to 1.6% with operating frequencies of 200 – 600 Hz. Also the mean operating pressure used for the experiment is 2 to 10 bar and cooling load of 2 to 10W are considered. The ΔT between the hot heat exchanger and cold heat exchanger is recorded using RTDs and Bruel and Kjaer data acquisition system. Experimental results shows that the lowest temperature measured at cold heat exchanger is -2.1 oC by maintaining the hot heat exchanger temperature at about 32 oC. The maximum temperature difference of 32.90 oC is achieved. 11 30 2019 2704 2712 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7322.118419 https://www.ijrte.org/portfolio-item/D7322118419/ Advanced Nano Materials (AnoMa) Research Group, Nano Research Team, Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia. Muhamad Syaizwadi Shaifudin* Mohd Sabri Mohd Ghazali* Advanced Nano Materials (AnoMa) Research Group, Nano Research Team, Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia. Wan Rafizah Wan Abdullah Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia. Syara Kassim Advanced Nano Materials (AnoMa) Research Group, Nano Research Team, Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia. Wan Mohamad Ikhmal Wan Mohamad Kamaruzzaman Advanced Nano Materials (AnoMa) Research Group, Nano Research Team, Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia. In the present, varistor ceramics through the combination of zinc oxide (ZnO) with a perovskite material have become widespread because of their unique properties for a wide range of applications in electronic protection devices. Low-voltage zinc oxide (ZnO) varistors with fast response and highly nonlinear electrical properties for overvoltage protection in an integrated circuit are increasingly significant in the application of low-voltage electronics. The present study highlights the interaction between barium titanate (BaTiO3) and ZnO varistors through the employment of solid-state reaction method in the production of low-voltage varistors. The effects of BaTiO3 on the microstructure of ZnO varistors were analyzed through scanning electron microscopy (SEM), energy dispersive X-ray analysis spectroscopy (EDS) and X-ray diffraction (XRD). The EDS analysis and XRD measurements suggest the presence of ZnO and BaTiO3 phases. The electrical properties of BaTiO3-doped ZnO varistors were examined based on the current density-electric field (J-E) characteristics measurement. The varistor properties showed the nonlinear coefficient (α) from 1.8 to 4.8 with the barrier height (φB) ranged from 0.70 to 0.88 eV. The used of BaTiO3 additive in ZnO varistors produced varistor voltages of 4.7 to 14.1 V/mm with the voltage per grain boundary (Vgb) was measured in the ranges 0.03 to 0.05 V. The lowest leakage current density was 348 μA/cm2, obtained at the samples containing 12 wt.% BaTiO3 with high barrier height. The reduction in barrier height with increasing BaTiO3 content was associated with the excessive amount of BaTiO3 phase, hence cause the deterioration of active grain boundary due to the variation of oxygen (O) vacancies in the grain boundary. 11 30 2019 2713 2718 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7326.118419 https://www.ijrte.org/portfolio-item/D7326118419/ Research Scholar, Dr. M.G.R Educational and Research Institute, Chennai, India. P Krishna Kishore* Dr. S Ramamoorthy Professor & Dean MCA, Dr. M.G.R Educational and Research Institute ,Chennai,India. Dr.V.N Rajavarman Professor & Deputy Dean, Dr. M.G.R Educational and Research Institute, Chennai, India. iNowaday ithe iworld iis icompletely idepend on ithe iinternet iand the day ito iday iactivities of ihuman ilife icompletely idepends ion ithe iinternet. The idependency ion ithe iinternet iallows ithe iattackers ido damage ior iharm ito ithe ilegitimate iuser’s itransactions iand ievents iwhich iis icalled ias iSecurity iattack. Distributed iDenial iof iService iis ione itype iof ithe imost vulnerable iattacks iof itoday’s icyber iworld. iIn ithis ipaper, iwe ipresent ia isurvey iof iDistributed iDenial iof iService iattack, idetection, idefensive iand imitigation iof imachine ilearning iapproaches. This isurvey iarticle iprefer itwo ifamous isupervised imachine ilearning ialgorithms isnamely. (i) Decision itrees, (ii)isupport ivector imachine and ipresented ithe irecent iresearch iworks icarried iout. From ithis isurvey iit iis ilearnt ithat iconnecting supervised imachine ilearning ialgorithm iwith iboosting iprocess will iincrease iprediction iefficiency iand ithere iis ia iwide iscope iin ithis iresearch ielement. We provide a systematic analysis of these attacks including so many motivations and evolutions, different types of attacks analysis so far, detection techniques and mitigation techniques, possible constraints and challenges of existing approaches. iFinally isome iimportant iresearch ipoints are outlined ito iensure isuccessful idetection, idefensive iand mitigation iagainst iDistributed iDenial iof iService attacks. 11 30 2019 2719 2725 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7335.118419 https://www.ijrte.org/portfolio-item/D7335118419/ Assistant Professor, Department of Mechanical Engineering, Amity School of Engineering & Technology, AMITY University, Noida, Uttar Pradesh, India. Prem Narayan Vishwakarma* Ajay Sharma Assistant Professor, Department of Mechanical Engineering, Amity School of Engineering & Technology, AMITY University, Noida, Uttar Pradesh, India. In today's world, large amount of attention is given to the surface roughness and surface micro hardness of the material as it's mechanical properties are greatly influenced by the surface finish. Surface Roughness is generally a measure of irregularities of the surface. It is essential to analyze the surface roughness of the material in order to avoid the failure of the material. A large number of parameters are involved analyzing the surface roughness such as type of tool, tool material, work piece material, machining operation, cutting parameters and cutting fluids. This paper aims to show that how surface roughness of the material reacts when different cutting parameters are adopted using face milling operation and how it reacts when finishing of the surface is done using roller burnishing operation experimentally and validate the results using FEM analysis using DEFORM 3D. 11 30 2019 2727 2733 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7338.118419 https://www.ijrte.org/portfolio-item/D7338118419/ Faculty of Business & Management, Universiti Teknologi Mara, Melaka, Malaysia. Ahmad Fadhly Arham* Nor Sabrena Norizan Faculty of Business & Management, Universiti Teknologi Mara, Melaka, Malaysia. Mohd Natashah Norizan School of Microelectronic Engineering, Universiti Malaysia Perlis, Perlis, Malaysia. Fatrisha Mohamed Yussof Faculty of Art & Design, Universiti Teknologi Mara, Melaka, Malaysia. Development of a country’s economy is depended upon how well the businesses contribute towards the economy. In a developing economy such as Malaysia, the role and function of SMEs is important. Finding ways on how these establishments can sustain their businesses and develop their own competitive advantage is crucial. To sustain a strong competitive position, SMEs need to identify its distinctive competency. Having a solid workforce could be one of its distinctive competencies. Thus, SMEs need to find ways on how to retain employees as this would help them to retain their important and valuable knowledge within the company. Once employees decided to leave the organization, there will be intangible losses that the organizations need to bear. Thus, strengthening its internal position and practices through succession planning such as training, strong management support, clarifying career path, strong positive vision and organizational culture and cultivating technological advancement are contended as efforts towards retaining knowledge within organization and ensuring sustainable growth of SMEs in the country. This study offers several implications. The managerial implications out of this research could be an increase understanding about managing and retaining knowledge within organization are important for organizational survival. Managing and retaining knowledge means managing employees and employees are valuable internal resources. Second, developing a good succession planning is an integral part of forward-thinking strategy that is important for strategic planning for any SMEs. 11 30 2019 4635 4639 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7344.118419 https://www.ijrte.org/portfolio-item/D7344118419/ Institute of Management, CHRIST(Deemed To Be University), Bangalore, India. Rekha Aranha* Maria Thomas VI trimester MBA-HR student, Institute of Management, CHRIST (Deemed To Be University), Bangalore, India. Avil Saldanha St. Joseph’s Institute of Management, Bangalore, India Purpose – There are few studies that have studied the relationship between Transformational leadership (TL) and organisation commitment (OC), but there are very few studies on the service sector especially in the Indian context. This study aims to fill the gap in literature by empirically examining the impact of four dimensions of TL using Multifactor Leadership Questionnaire (MLQ) on the Affective Commitment (AC) of the employees, within the context of the service sector in Bengaluru. Design/methodology/approach – A total of two hypotheses were proposed for testing transformational leadership using Multifactor Leadership Questionnaire (MLQ) questionnaire, (Bass and Avolio, 1997) and five items of affective organization commitment developed by Allen and Meyer (1996) was used for affective commitment. The questionnaire was administered to 210 employees working in various industries in the service sector in Bengaluru to measure the impact of TL on the AC of the respondents. Findings – The analysis of the data collected shows that TL has a positive impact on the affective commitment of the employees. In particular, the results of an empirical investigation revealed that individualized influence and individual consideration by the transformational leader had a significant impact on the affective commitment level of the employees. The employees in the hospitality industry had a difference in opinion compared to IT, Banking & education sector employees on the intellectual stimulation by the leader and their affective commitment towards the organization. Originality/value – This paper contributes to the existing literature of leadership and OC by providing practical evidence leading to the improvement of information and the understanding of the relationship between TL and AC. 11 30 2019 1388 1393 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7345.118419 https://www.ijrte.org/portfolio-item/D7345118419/ B.Tech (Mechanical) from Babu Banarasi Das Northern India Institute of Technology, Lucknow Chandra Kumar Dubey* Anand Kumar Singh Assistant Professor of Mechanical Engineering at Institute of Engineering & Technology (IET), Lucknow. Shailendra Sinha Professor of Mechanical engineering at Institute of Enginering & Technology (IET), Lucknow. A large number of engineering applications required rapid heat dissipation from its surface. This is achieved by the use of the fins i.e. increasing the surface area. Enhancement of heat transfer and reduction in the weight is the major criteria for designing the fins. The main objective of this project is to enhance the heat transfer through the use of perforated fin. A large number of study have been conducted on shape modification by cutting some material from fins to make holes, cavity, slots, groves or channel through the fin body to increase flow area. A rectangular fin of dimension 100 mm. x 200 mm. x 2 mm. and area of perforation is 100 mm2 was selected. The number of perforation was varied from 20, 28, 36 and 44. It was found that maximum temperature drop occurred with 44 perforations. With the same fin with 44 perforation, temperature drop and heat transfer was analysed for different shapes (circular, square, oriented square, pentagon and elliptical) of perforation. I was found that in case of different shape of perforation with same cross sectional area, weight is nearly reduced by 28.42 % for elliptical perforation (a/b>3) was most effective in which 32.20 % more temperature drop and maximum average heat flux as compared to other perforation shape. 11 30 2019 1394 1400 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7354.118419 https://www.ijrte.org/portfolio-item/D7354118419/ Research scholar, MD University, Rohtak, India. Deepak Sharma* In this paper, the security problem of black hole node in mobile adhoc networks (MANET) is discussed. Mobile adhoc network is a kind of network in which there is no fixed structure of the network. All the nodes are mobile i.e. they are free to move where ever they want to move. Mobility of the nodes and lack of any central administration in the network leads to complex security problem and black hole attack is one such security problem. In this paper, some of the best work which are already exist in this field and the limitations are disused in brief. A Relative TRUST based approach to eradicate the problem of black hole is proposed in this paper. 11 30 2019 2740 2744 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7355.118419 https://www.ijrte.org/portfolio-item/D7355118419/ Department of Electrical Engineering, Government college of Engineering Aurangabad, India. Neha S. Dahate* Dr. N. R. Bhasme Department of Electrical Engineering, Government college of Engineering Aurangabad, India. Instead of using non-renewable energy sources, industry researchers have wide applications in renewable energy sources such as hydro, wind and solar which are highly preferable because of having huge advantages like easily erectable and abundance in environment. For obtaining the high quality in electric power system, the system requires special conditions while connected to the grid. This paper shows the interfacing of Photovoltaic system connected to 3-phase grid. To ensure the highest output power of Photovoltaic system, a DC to DC converter with Maximum power point tracking (MPPT) is required. In this work, comparative analysis has been carried out for the MPPT techniques with topology β- method which is connected in parallel to perturb and observe method. The above proposed method enhances the dynamic performance of the system and effective under the steady state as well as transient state. The proposed system is implemented and simulated in MATLAB/Simulink. Analysis of simulation results are carried out for validation of system. 11 30 2019 2745 2750 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7356.118419 https://www.ijrte.org/portfolio-item/D7356118419/ Assistant Professor of Information Technology at the Devi Ahilya University, Indore, India. Chandra Prakash Patidar* Meena Sharma Professor of Computer Engineering at the Devi Ahilya University, Indore, India. In today’s world everything is becoming web dependent, and due to the advances made in web technologies, web developers have to face various challenges. Every web application before being deployed goes through various phases which may look different on different browsers. It becomes difficult to identify correct web page when it gives differences across different browsers. The web pages may give significant differences and it is known as cross-browser inconsistency. A technology that has gained a prominent position known as AJAX (Asynchronous JavaScript and XML), in which the combination of JavaScript and Document Object Model (DOM) manipulation, along with asynchronous server communication is used to achieve a high level of user interactivity. With this change in developing web applications comes a whole set of new challenges, One way to address these challenges is through the use of a crawler that can automatically walk through different states of a highly dynamic AJAX site and create a model of the navigational paths and states. Identifying these conflicts manually is a laborious task. Mutual browser conflict disclosure presents a mechanism to identify conflicts. 11 30 2019 1401 1405 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7365.118419 https://www.ijrte.org/portfolio-item/D7365118419/ Assistant Professor In The Department Of Corporate Secretaryship, Alagappa University, Karaikudi Dr.K. Ganesamurthy* Dr.A. Morarji Professor In The Department Of Corporate Secretaryship, Alagappa University, Karaikudi. Mr. M. Naghappa Rajan Manager In Ibm India Pvt. Ltd., Bangalore The transportation and distribution (T&D) of nascent informal sectors, it is important to have a good performance in operations. In order to achieve high performance, it is necessary to know which operational factors are critical for success and which are less important. Only then can management focus attention on those factors that have a strong effect on performance. In The India a large project has been carried out to find these critical operational success factors. The progress in techniques and management principles improves the moving load, delivery speed, service quality, operation costs, the usage of facilities and energy saving. Transportation takes a crucial part in the manipulation of logistic. The objective of study is the impact on GDP from logistics savings. To measure efficiency gains of drivers in logistics savings, to study the effect of efficiency gains on nominal GDP. The study is case study method adopted based on secondary data and it is concluded that the GDP impact on efficiency gains of transportation and distribution of nascent informal sectors in India exhibited that customers’ final bill remains same; Transport company’s profits go up and customer takes away all the savings. 11 30 2019 2992 2995 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7367.118419 https://www.ijrte.org/portfolio-item/D7367118419/ Department of Hotel Management, CHRIST (Deemed to be University), Bangalore, India. Dr. Usha Dinakaran* Professor Sushil Dwarkanath Department of Hotel Management, CHRIST (Deemed to be University), Bangalore, India. Bengaluru, the capital of Karnataka, attracts tourists from far and wide every day of the year. The city is home to people of various cultures and nationalities, and is amongst the fastest growing cities of the world. Bengaluru has a huge potential with regard to tourism and this hence forms the area of study for this study. In relation to the tourism component, the author establishes a connection with the culinary offerings of the city. The city boasts of busting restaurants and streets filled with local vendors offering the authentic dishes of the lands cuisine. This article aims to study the food habits and preferences of inward tourists in order to estimate the impact of culinary aspects of the city on its tourism. The study was carried out by surveying the visitors of Bengaluru, who sought out to identify their food values and perceptions. This was done in relevance to potential scope for tourism opportunities for the city. The article thus holds scope for further research on the potential of culinary tourism in Bengaluru. The study was undertaken by surveying 246 visitors by administering a questionnaire that was aimed at acquiring their opinions on the culinary aspects of the city. The study is built based on their responses which were statistically analysed using reliability, association, variance and regression tests. The research results helped conclude that the aspects of culinary and gastronomy of a tourist destination do play an important role in the tourism experience. This study holds future scope for culinary tourism as a specific market segment for destinations that show the importance of culinary aspects. This study thus fills in the gap between studies that determine the factors that affect tourism experience and studies that explain culinary tourism. 11 30 2019 766 774 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7368.118419 https://www.ijrte.org/portfolio-item/D7368118419/ Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), Pune, India. Anuja Bokhare* P S Metkewar Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), Pune, India. In this paper the authors have used a systematic literature review to provide benchmarking on influencing parameters for graph partitioning tools, which is the principal contribution of the present paper. Tools are compared on the basis of parameters which will impact the performance of tool. The paper elucidates about the tools and techniques along with their features, merits and demerits and also highlighted on influencing parameters which is missing in other reviews. These techniques are analysed by identifying merits and demerits of each technique. This research paper can help the researchers to choose the appropriate tool or technique for their own partitioning problems. Also authors have suggested future research directions and anomalies for improvement in tools and techniques for Graph Partitioning. 11 30 2019 775 787 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7369.118419 https://www.ijrte.org/portfolio-item/D7369118419/ Assistant Professor, Department of Engineering, Gujarat University, Ahmadabad, India Prof Tejal Upadhyay* Dr Samir Patel Assistant Professor, Department of Computer Science and Engineering, Pandit Deendayal Petrolium University, Raisan, Gandhinagar, Gujarat, India Clustering involves the grouping of similar objects into a set known as cluster. Objects in one cluster are likely to be different when compared to objects grouped under another cluster. Gene expression is the process by which information from a gene is used in the synthesis of a functional gene product. Subgroup classification is a basic task in high-throughput genomic data analysis, especially for gene expression and methylation data analysis. Mostly, unsupervised clustering methods are applied to predict new subgroups or test the consistency with known annotations. To get a stable classification of subgroups, consensus clustering is always performed. It clusters repeatedly with a randomly sampled subset of data and summarizes the robustness of the clustering. When faced with significant uncertainty in the process of making a forecast or estimation, the Monte Carlo Simulation might prove to be a better solution. Monte Carlo3C is a consensus clustering algorithm that uses a Monte Carlo simulation to eliminate overfitting and can reject the null hypothesis when only one cluster is there. 11 30 2019 2751 2756 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7370.118419 https://www.ijrte.org/portfolio-item/D7370118419/ Assistant Professor & Head, Department of MBA, K.S.Rangasamy College of Arts and Science (Autonomous), Tiruchengode, Tamilnadu, India Dr.D. Praveenadevi* Dr.B. Girimurugan Assistant Professor, Department of MBA, Koneru Lakshmaiah Business School, Guntur, A.P, India. In today’s global competitive arena, every business entity urges for creating core competencies to withstand in the competition. Most of the flourishing companies capitalize diversity and inclusion as a source of competitive advantage. Creating and regulating an inclusive work culture is more complex and challenging. Far from being a challenge, it can create competitive advantage by increasing innovation, flexibility and problem-solving capacity. Organisations’ with inclusive culture seems to meet its target far better than planned and expected. Yet many organisations are aspiring to cultivate an inclusive culture. This article spreads light over the components and benefits of inclusive work culture, strategies to create and regulate the inclusive culture and the success stories of organisations with inclusive work culture. 11 30 2019 5155 5159 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7371.118419 https://www.ijrte.org/portfolio-item/D7371118419/ Head of Logistics and Supply Chain Management Department, College of International Transport and Logistics, AASTMT, Alexandria, Egypt Hebatallah ElMesmary* Gamal Abd El-Nasser A. Said Head of Computers & Information Technology Department,Port Training Institute, AASTMT, Alexandria, Egypt Smart technologies can help to get a clear data of the condition, location, and environment of goods, and processes at anytime, anywhere, also to make intelligent decisions and take corrective actions so that the supply chain can run more efficiently. This work aims at exploring the state of art on the smart solutions such as Big Data Analytics, Cloud Computing, Internet of Things (IoT) and Blockchain in Logistics and Supply Chain Management (SCM). This paper explains the potential applications as well as the impact of smart techniques on SCM. Furthermore, a smart model for supply chain management is proposed. 11 30 2019 2996 3001 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7374.118419 https://www.ijrte.org/portfolio-item/D7374118419/ Department of Statistics and Econometrics, Sofia University, Sofia, Bulgaria. Borislava Vrigazova* Ivan Ivanov* Department of Statistics and Econometrics, Sofia University, Sofia, Bulgaria. Feature selection is a powerful tool to identify the important characteristics of data for prediction. Feature selection, therefore, can be a tool for avoiding overfitting, improving prediction accuracy and reducing execution time. The applications of feature selection procedures are particularly important in Support vector machines, which is used for prediction in large datasets. The larger the dataset, the more computationally exhaustive and challenging it is to build a predictive model using the support vector classifier. This paper investigates how the feature selection approach based on the analysis of variance (ANOVA) can be optimized for Support Vector Machines (SVMs) to improve its execution time and accuracy. We introduce new conditions on the SVMs prior to running the ANOVA to optimize the performance of the support vector classifier. We also establish the bootstrap procedure as alternative to cross validation to perform model selection. We run our experiments using popular datasets and compare our results to existing modifications of SVMs with feature selection procedure. We propose a number of ANOVA-SVM modifications which are simple to perform, while at the same time, boost significantly the accuracy and computing time of the SVMs in comparison to existing methods like the Mixed Integer Linear Feature Selection approach. 11 30 2019 5160 5165 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7375.118419 https://www.ijrte.org/portfolio-item/D7375118419/ Associate Proffessor, Chemistry, G.L.Bajaj Institute of Technology & Management,Greater Noida Dr. Nidhi Rani* Abhishek Kumar Singh PGT-Teacher, Department of Biology, HR-IT DPS, Ghaziabad The main objective of this paper is to analyze the impacts of air pollution on the health of peoples of Meerut area of NCR & give brief description for purification of air by Yagyaroma by using odeniferous substance in Yagya samigri special reference to sandal wood & camphor etc. The practical work was carried for a duration approximately two years. Sampling of Anthracene & Benzo (e) pyrene (PAHs) was carried Monthly basis & 24 hours twice in a month & data was collected. The present study is very useful to regulatory authorities & administration to understand problems of air pollution in the Meerut area of NCR & helpful in prevention of Air Pollution. Anthracene & Benzo (e) pyrene (PAHs) are considered as a carcinogenic and toxic contaminants of ambient air of Meerut area of NCR. Anthracene & Benzo (e) pyrene (PAHs) are carcinogenic and hazardous to biotic life and no safe level of exposure can be recommended. In Meerut City, the sampling locations are residential area, commercial and industrial area during four seasons viz. summer, Monsoon, Post monsoon & Winter. Variations in levels of Anthracene & Benzo (e) pyrene (PAHs) were observed during these seasons. 11 30 2019 778 792 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7376.118419 https://www.ijrte.org/portfolio-item/D7376118419/