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Prof. Dr. Vipul Jain
No full textDr Vipul Jain is a Senior Lecturer in Operations and Supply Chain Management atVictoria Business School, Victoria University of Wellington, New Zealand. He has also worked as a French Government researcher for the French National Institute for Research in Computer Science and Control at Nancy, France, and was also involved in theEuropean project I* PROMS (Innovative Production Machines and Systems) from UK. Vipul has more than 85 archival publications to his credit in high impact factorjournals, as well as conference papers and books chapters, is the Editor-in-Chief of International Journal of Intelligent Enterprise, and an Editorial Board member forseven international journals. Vipul is ranked 7th in India in a list of top 20 Indian leading academicians publishing in the area of Logistics and Supply Chain management in an exhaustive study entitled “Analysis of the Logistics research in India- white paper (2012), pp.1-11” conducted by researchers from Institute of Transport Logistics, Dortmund University, Institute for Supply Chain and Network Management, TechnischeUniversität Darmstadt, and University of Münster, Germany. Vipul is involved as a scientific and advisory committee member for various international conferences. He was the Programme Coordinator for the Masters in Industrial Engineering Programme at IIT Delhi, and has been actively involved in conducting Management Development Programmes/Training Programmes for Senior Managers andExecutives of Public and Private Organisations in India on various issues and challenges encountered in Operations, Logistics, and Supply Chain Management.https://www.interscience.in/mentors/1082/thumbnail.jp
Dr. Daniel Y. Mo
No full textDr Mo is an Associate Professor and an Associate Head in the Department of Supply Chain and Information Management, and he also serves as an Associate Dean (Teaching and Learning) of School of Decision Sciences at the Hang Seng University of Hong Kong. Dr Mo has over fifteen years of research and consultancy experience in collaborating with companies to strive for the best-in-class supply chain. Over the years, he has published papers in international journals such as IEEE Transactions on Automation Science and Engineering, International Journal of Production Research, International Journal of Production Economics, IEEE Transactions on Engineering Management, INFORMS Journal on Applied Analytics (formerly Interfaces), etc. He received his PhD in Industrial Engineering and Logistics Management from the Hong Kong University of Science and Technology, after worked in industry for several years. His footprints of industrial contributions were found in the sectors of diversified manufacturing products, third-party logistics providers, community transportation organizations and after-sale service operations, etc.https://www.interscience.in/mentors/1084/thumbnail.jp
EXTRACTING ACCURATE DATA FROM MULTIPLE CONFLICTING INFORMATION ON WEB SOURCES
Get PDFFor The World-Wide Web has become the most important information source for most of us. As different websites often provide conflicting information there is no guarantee for the correctness of the data. Among multiple conflict results, can we automatically identify which one is likely the true fact?, In this paper our experiments show that Fact finder, a supporter for user to resolve the problem, successfully finds true facts among conflicting information, and identifies Trust worthy websites better than the popular search engines. In our paper we give ratings based on two things- popularity or the hits & number of occurrences of same data. As we can’t give preference only to popularity, we have considered another rating i.e. about number of occurrences of same data in several other websites, which are less popular. This paper helps user to get resolved by conflicting facts from multiple websites on two basis. Further by considering few more relations we can develop a search engine that truly helps the user to resolve the Veracity problem
COMPARATIVE ANALYSIS OF PVM AND MPI FOR THE DEVELOPMENT OF PHYSICAL APPLICATIONS IN PARALLEL AND DISTRIBUTED SYSTEMS
Get PDFThis research is aimed to explore each of these two Parallel Virtual Machine (PVM) and Message Passing Interface(MPI) vehicles for DPP (Distributed Parallel Processing) considering capability, ease of use, and availability, and compares their distinguishing features and also explores programmer interface and their utilization for solving real world parallel processing applications. This work recommends a potential research issue, that is, to study the feasibility of creating a programming environment that allows access to the virtual machine features of PVM and the message passing features of MPI. PVM and MPI, two systems for programming clusters, are often compared. Each system has its unique strengths and this will remain so in to the foreseeable future. The comparisons usually start with the unspoken assumption that PVM and MPI represent different solutions to the same problem. In this paper we show that, in fact, the two systems often are solving different problems. In cases where the problems do match but the solutions chosen by PVM and MPI are different, we explain the reasons for the differences. Usually such differences can be traced to explicit differences in the goals of the two systems, their origins, or the relationship between their specifications and their implementations. This paper also compares PVM and MPI features, pointing out the situations where one may be favored over the other; it explains the deference’s between these systems and the reasons for such deference’s
Diabetes Prediction: A Study of Various Classification based Data Mining Techniques
Get PDFData Mining is an integral part of KDD (Knowledge Discovery in Databases) process. It deals with discovering unknown patterns and knowledge hidden in data. Classification is a pivotal data mining technique with a very wide range of applications. Now a day’s diabetic has become a major disease which has almost crippled people across the globe. It is a medical condition that causes the metabolism to become dysfunctional and increases the blood sugar level in the body and it becomes a major concern for medical practitioner and people at large. An early diagnosis is the starting point for living well with diabetes. Classification Analysis on diabetic dataset is a part of this diagnosis process which can help to detect a diabetic patient from non-diabetic. In this paper classification algorithms are applied on the Pima Indian Diabetic Database which is collected from UCI Machine Learning Laboratory. Various classification algorithms which are Naïve Bayes Classifier, Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Support Vector Classifier and XGBoost Classifier are analyzed and compared based on the accuracy delivered by the models
Tourism Decision Making System & Auto Guidance Technique using Data analytics
Get PDFA unique Tourism Decision Making System TDMS) describes and evaluates the evaluation of research and developments in information technology meant for pronouncement sustain as well as examination during the sector of visiting the attractions. Individuals in the tourism sector are classified according to their decision-making technologies. The current trends and growth directions of choice help technologies were analysed for visitors from various advertising categories. The potential to provide customising, augmentation, and help for visitors at all phases of their trips by integrating modern automated approaches with GIS capabilities demonstrates the need for breakthroughs in digital advanced analytics
THE ROLE OF LEISURE TOURISM ON SUSTAINABILITY OF ENVIRONMENT
Get PDFThe Tourism Sector is the major sector provides major employment to the Skilled, UnSkilled and SemiSkilled youth in India. Tourism sector also contributes to the GDP. There are many forms of Tourism. Tourism is critical in cultivating cross Cultural image among the people and as a result, the country\u27s Socio-economic growth. The Major service Sector in India is travel and tourism. Heritage, cultural, medical, business and sports are all segments provided by this industry. Leisure tourism is tourism for reasons other than business, such as visiting another location for the purpose of entertainment or another profit.
The major Objectives of the research paper is to collect, Identify the classification of tourism and to examine the relationship between tourism and environment and also to find the positive impacts of tourism on environment.
The data collected from the different secondary sources, reputed Journals, Text books, government reports, magazines, tourism department annual reports etc., Leisure tourism provides employment to the youth directly or indirectly, it generates revenue to the Government and private sectors. It leads to environmental Sustainable protection and Preservation
Benford’s Law for Data Cleaning in Big Data
Get PDFWith the exponential increase in data, the need to authenticate the integrity accuracy of the data also increases. Regarded as a mysterious law, Benford\u27s Law has seen many use cases over the centuries ranging from detecting fraud in accounting to checking for GAN generated images. This First digit law has helped finding anomalies in various data across many domains. This paper summarizes what this mysterious law is and implements the same to asteroid data to check for the pattern. This law has the potential to handle the growing need for authenticity for the big data revolution. Further research on this field includes not only the implementation here on earth but also for the data being generated by satellites and telescopes in deep space
Engine Use In Hybrid Rocket - A Review
Get PDFDespite all the other rocket motors on the market such as solid and liquid. A historically failed motor was in the market which was handicapped in performance but now with technological development in the previous years, hybrid rocket motor is the most influential talk in the market.
Deeper in the paper we will discuss the hybrid motor focusing on the fuel used in Hybrid rocket engines and the performance depending on the design. Furthermore, this review paper will help us to study the different materials for the betterment of the engine performance. We will also be focusing on the methods required to improve total impulse. Moreover, will be elaborating on the performance of paraffin wax and its material property
SPATIO TEMPRORAL LANDUSE AND LANDCOVER ANALYSIS USING REMOTE SENSING: A CASE STUDY ON SHIVAMOGGA CITY
Get PDFShivamogga\u27s population has grown significantly in recent years. The city\u27s size has grown in lockstep with its population. The rapid increase in urban population is primarily due to people migrating from rural areas, villages, and other cities to larger cities in quest of better job opportunities and a greater quality of life. As a result of this pressure, cities have grown out of control to accommodate these people, resulting in sprawl, which is a severe problem that must be addressed. The main purpose of this research is to better understand Shivamogga\u27s landuse and landcover, as well as the changes that have occurred over the last three decades. LANDSAT images from 1993, 2003, and 2013-2021 were used to assess the evolution of the city\u27s urban area and how it has changed over time, which has a significant impact on future expansion and can result in a slew of issues if growth is uncontrolled. The satellite pictures are analysed using the ERDAS and ARC GIS software platform