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Dr. Rangan Gupta
No full textRangan Gupta is a Professor at the Department of Economics, University of Pretoria. He holds a PhD in Economics from the University of Connecticut, USA. He conducts research in the fields of macroeconomics and financial economics. His research has appeared in high impact factor international journals such as International Journal of Forecasting, International Review of Financial Analysis, International Review of Economics and Finance, Journal of Banking and Finance, Journal of International Money and Finance, Journal of International Financial Markets, Institutions and Money,Journal of Macroeconomics, Economic Modelling, Emerging Markets Review, Journal of Forecasting, Energy Economics, Energy Policy, Energy, Macroeconomic Dynamics, Quantitative Finance, Resources Policy.https://www.interscience.in/mentors/1073/thumbnail.jp
Dr. Georgios Mamanis
No full textDr. Georgios Mamanis received his Diploma and PhD from the department of Production and Management Engineering, Democritus University of Thrace, Greece in 2006 and 2012 respectively. For three years he taught in the department of Accounting and Finance, TEI (Technological Educational Institute) of Thessaly, Greece. Nowadays he works as a Business Consultant at CGSoft, Athens, Greece. Dr. Georgios Mamanis has published more than 10 papers in scientific journals, edited volumes and conference proceedings and has received more than 490 citations as measured by Google Scholar and more than 280 as measured by Scopus. He is also an active reviewer in a number of journals in the field of operational research and computational finance. His research interests center around portfolio optimization and management and multi-objective evolutionary algorithms.https://www.interscience.in/mentors/1074/thumbnail.jp
A Review on Sentiment Analysis techniques and applications
Get PDFWith rapid strides of development and advent of technology, world has become more data-driven than it ever was. Historic analysis, forecasts, predictions and the consequent machine learning algorithms have become much accurate and efficient. Social media handles are thus a very valuable source of data in this era. A thorough analysis of the on-going trends and patterns which convey various expressions and emotions on these social media handles can be used to make a sentiment analyzer. The paper has a concrete objective of not only providing a review about the concepts of sentiment analysis so far but also propose a broad-based strategy to improve the performance of the sentiment analyzer
Advances in Computational Management
No full textThis is the first ever book series is being launched for the researchers who are doing research in the area of Machine Intelligence, Computational Intelligence and Machine Learning applications in Business Management.https://www.interscience.in/computational_management/1001/thumbnail.jp
Dr. Trina Som
No full textDr. Trina Som is an associate professor in ADGITM (Delhi), GGSIPU, India. She received her Ph.D. in power engineering from Jadavpur University, Kolkata, India, in 2013. She holds a B.E (2005) in electrical engineering from Siksha-o-Anusandhan University, Bhubaneswar, India, and an M.S. (2008) in power engineering from Jadavpur University. Her research interests include renewable and sustainable energy, optimization using soft-computing and artificial intelligence-based approaches, energy economics, transmission and distribution systems for electrical power and microgrids. Her work has been published in journals and conference proceedings by reputed professional bodies and publishers such as IEEE, IET, and Elsevier. She has also reviewed several research papers and book proposals in her field and authored a book chapter. Since 2011, she has been teaching electrical engineering in institutions under GGSIPU and UPTU. She is the recipient of the best presentation award in multiple conferences and also a teaching award.https://www.interscience.in/mentors/1072/thumbnail.jp
The Influence of Covid – 19 on Virtual Employee Management Practices by Organisations: An Empirical Study
Get PDFIn the mid of 2020, the COVID– 19 disease began rapidly disrupting lives, economies, and workplaces and continues to do so. It was when the disease was brought in a global debacle it forced the world to go into complete lockdown with strict government guidelines of social distancing. The pandemic resulted in the loss of jobs and high rate of unemployment. The COVID – 19 plagues forced organizations to make rigorous changes to the workplace leading to complete chaos to employee and employer experience. One of the most drastic changes was “Work from Home”. The human resource management department was forced to come up with new strategies to face the challenges of remote working. Scholars including Snell et al. (2002) and Ulrich et al. (2017) have argued the relevance of a strategic HR approach during such challenging times as essential in ensuring institutional competitiveness. Accordingly, institutions turned their attention to virtual employee management (VEM) as an alternative to the traditional system of employment management. According to Henderson et al. (2016), at the time, the adoption of Virtual Employee Management becomes mandatory to facilitate collaboration across isolated employees and stakeholders. Virtual Employee Management is co-dependent groups who work from the comfort of their places with the help of virtual tools or apps like Zoom, Skype and Google meet to communicate work. The major responsibility lies in making productive ‘remote teams’ a crucial challenge for human resource managers. A survey was conducted on 50 employees and lecturers from esteemed universities by providing them a questionnaire. Remote team leaders’ constant hurdles were managing projects, lack of team communication technology issues at home, geographical and cultural barriers. The virtual employee faced core challenges such as overworking after work, maximizing productivity, overcoming distractions and staying motivated. This paper is an empirical paper presenting the problems being faced in virtual employee management by the influence of COVID -19 in general and provides strategies to overcome them to face this epidemic
Aerodynamic effects of a folding wingtip to increase take-off, landing and cruise performance
Get PDFThe main purpose of a folding wing tip is to allow aerodynamically efficient high aspect ratio wing. To allow a wing tip to move in flight is to alleviate the loads and achieve lower wing weight or enable wing span to maximize. Thus reduces the induced drag and improve fuel efficiency. The folding wing tip may include spring devices in order to provide an additional gust loads alleviation ability in flight. A wing without a winglet produces wingtip vortices which increases drag as the air from the bottom surface of the wing (high pressure) tries to move to the upper surface (low pressure). To avoid this and have less vortices a winglet is used, around which the flow is same on both surfaces. A folding wingtip can be set at an angle of 0° to have maximum cruise performance and aspect ratio. If the wingtip is set in the range of 15°-50° it can increase lift during take-off. This folding wingtip can access any airport in the world because if it is folded at an angle of 90°, it can meet the gate requirements and restrictions of any airport. To study the performance of this mechanism, the wing tip was designed by using CATIA V5 software. The analysis of the wingtip at different angle of attacks was done using ANSYS and XFLR 5 softwares
Chemistry of Refined oils & its adverse effects on Human Health
Get PDFRefined edible oils or vegetable oils are manmade oils in which many harmful Petrochemicals are used for refining purposes. Refined oils are not heated stable they degrade to harmful toxic byproducts on heating them for a long time (ex: deep-frying). Most of the plant-based vegetable oils or actually seed oils are high in unsaturated fats and when they are heated up to their smoking point, they tend to oxidize, and generate free radicals, and also change the chemical composition of the oil, and at this stage, it becomes more harmful to our health when we consume it or even inhale its fumes. When we heat certain fats, oils, and fatty meats at very high temperatures like deep frying or barbecuing and stir-frying on very hot surfaces, Polycyclic aromatic hydrocarbons( PAHS) may be formed which are extremely carcinogenic. Advanced glycated end products (AGES) are also formed when foods are fried till they become brown in color. These chemicals (PAHS and AGES) are related to enhanced risk of diseases such as Alzheimer\u27s, stroke, cancer, cataracts & heart disease. Most of the vegetable oils are high in Omega6 fatty acids to Omega3 fatty acid content which is a great concern in terms of causation of insulin resistance hyperlipidemia, obesity& cardiovascular diseases. From various studies on refined oil consumers and from various published articles in various journals, reaffirms that sunflower oil is far inferior in reducing Lifestyle diseases like coronary artery disease, based on its poor ability to provide a positive role in improving body mass index. It is proved from the studies that oils rich in Omega 6 fatty acids like sunflower oil increases body fat and may prove detrimental to heart health when compared with other animal fat and other traditional unrefined/cold-pressed cooking oils used in India
Nasimsadat Mosavi
No full textI am PhD student at the University of Minho-Portugal. I also work as a researcher at Centro algoritmi- University of Minho. My research interest is Intelligent Decision Support Systems (IDSSs) using Machine learning and optimization techniques. Moreover, Healthcare/Medicine and Production/Energy are my favourite domains. Currently, I am working on energy demand prediction and optimization with the Bosch Car-Multimedia /Factory of Future and Intelligent Decision Support System for Precision Medicine- hospital of Porto in Portugal.
I graduated in Computer Science (associated’s degree) and Computer Engineering-software (bachelor’s degree) from Islamic Azad University of Tehran-Iran and I pursued my master\u27s degree in International Business from the University of Wollongong. I honour that I won the top student award from the Islamic Azad University in Computer Science and also the best paper award from the ICDSM2021-China.
During my 20+ years of’ work experience in the field of Information System and Technology, I was involved in developing and implementing more than 100 successful projects in Dubai, Iran, K.S.A and Portugal in different positions ( e.g., researcher, project manager, consultant, business development manager, system analyst, lecturer). I have worked in a diverse market and also with different industries such as construction, petrochemical, engineering, healthcare, production, education, shipment & logistic, government. I am passionate about mentoring and research work.https://www.interscience.in/mentors/1077/thumbnail.jp
Battery Management System in Electric Vehicles
Get PDFHere this document provides the data about the batteries of electric vehicles. It consists of numerous data about various energy storage methods in EVs and how it is different from energy storage of IC-engine vehicles. How electric vehicles will take over ICEngine vehicles due to advancement in battery technology and the shrink in its prices. Various types of batteries are listed in the document with their specifications. Possible future battery technology which will have more or same energy density than current gasoline fuels and also with the significant reduction in battery weights; which will make EVs cheaper than current condition. Some examples are listed showing current battery capacities of various EVs models. Some battery parameters are shown in the document with introduction to BMS (Battery Management System). Then a brief introduction about the charging of these EV batteries and its types displaying variations in charging time in different types of EVs according to their charger type and manufacturers. How DC charging is more time saving method than AC and how smart charging will help to grid in case of peak or grid failure conditions