A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Viswanathan, T.
- Library as a Growing Organism
Authors
1 Indian National Scientific Documentation Centre, 14, Satsang Vihar Marg, New Delhi 110 067, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 29, No 3 (1992), Pagination: 135-138Abstract
The validity of the Fifth law of Library Science i.e., Library is a growing organism is looked into in the context of advancements in modern technology and their impact on libraries. The use of CD-ROMs in place of conventional books is visualised. The problems and prospects of CD-ROMs are explained.- Preliminary Analysis of Phyto-Constituents from the Leaf Extracts of Ballota nigra Linn
Authors
1 Department of Bioinformatics, School of Life Sciences, Vels University, Pallavaram, Chennai-600117, Tamil Nadu, IN
Source
Research Journal of Pharmacy and Technology, Vol 10, No 1 (2017), Pagination: 161-165Abstract
Currently, World is witnessing an inimitable growth in the practice of herbal medicines. Ballota nigra Linn (Black horehound) of the family Lamiaceae, was found to possess large number of pharmacological values like antioxidants, Neurosedative effect, Hypoglycemic effect, Antimicrobial, insecticidal effect and Anticholinesterase activities. To the best of our knowledge this is first new report on the plant Ballota nigra in india. Hence, the objective of the study is to analyse the bioactive constituents from the leaves of Ballota nigra. Preliminary phytochemical screening of the leaf extract was carried out with five different solvents of increasing polarity (Hexane, Chloroform, Ethyl Acetate, Methanol, and Aqueous).Qualitative phytochemical analysis of all the extracts was performed by standard methods and it reveals the presence of wide range of Phytoconstituents like Carbohydrates, Tannins, Saponin, Flavonoids, Alkaloids, Quinones, Terpenoids, Glycosides, Triterpenoids, Phenols, Coumarins, Acids, Proteins, Cardiac glycosides and Phytosterols in different deliberations. However, richness of Phytochemicals was observed in methanolic leaf extract. Initial studies will serve as base for further research in evaluating therapeutic potentials of the plant compounds by in vitro studies.Keywords
Ballota nigra Linn., Bioactive Constituents, Qualitative, Leaf Extract and Pharmacological Values.- Efficiency of Indian Option Market: Estimation of Future Market Volatility Using Implied Volatility
Authors
1 Symbiosis Institute of Business Management Bengaluru (SIBM), Electronic City − 560100, Bengaluru, Karnataka, IN
Source
SDMIMD Journal of Management, Vol 10, No 1 (2019), Pagination: 11-20Abstract
Forecasting volatility is a key process in pricing stock and index options. Accurate forecasting of future volatility would facilitate the traders and investors to make an informed decision. The study examines the market efficiency of exchange traded index options in India. We investigate the predictive power of implied volatility of Nifty index options in forecasting the future stock market volatility. The efficient market hypothesis believes that the implied contains all past information, thereby making it a superior volatility forecast for the underlying asset. Our study is based on the implied volatility of Nifty index options for the years between 2010 and 2018. In this paper, we compare the accuracy of expected future volatility using implied volatility concerning historical volatility. We study the implied volatility for Nifty 50 index option over the last seven years and compare the results against the ARMA model and historical forecasts to re-establish the superiority of implied volatility and efficiency of the Indian option market.
Keywords
Historical Volatility, Implied Volatility, Volatility Forecast.References
- Abhijeet Chandra and Thenmozhi M. (2015). On asymmetric relationship of India volatility index (India VIX) with stock market return and risk management, DECISION (Springer India). 42(1). https://www.researchgate.net/ publication/273328438_On_Asymmetric_Relationship_ of_India_Volatility_Index_India_VIX_with_Stock_ Market_Return_and_Risk_Management
- Costas Siriopoulos and Athanasios Fassas (2009). Implied Volatility Indices – A Review, SSRN Electronic Journal. https://www.researchgate.net/publication/228231105_ Implied_Volatility_Indices_-_A_Review.
- Christensen B.J. and Prabhala NR. (1998). The relation between implied and realized volatility, Journal of Financial Economics. 50(2):125–150. https://pdfs.semanticscholar.org/8180/6e9d63ecfa76fef96fe735e90d 20edc29fb8.pdf.
- Emmanuel Anoruo and Vasudeva NR Murthy (2016). An examination of the REIT return–implied volatility relation: A frequency domain approach, Journal of Economics and Finance, Springer; Academy of Economics and Finance. 41(3): 581−94. https://ideas.repec.org/a/spr/jecfin/ v43y2019i1d10.1007_s12197-018-9442-1.html.
- Henry Huang, Kent Wang and Zhanglong Wang (2016). A test of efficiency for the S&P 500 index option market using the generalized spectrum method, Journal of Banking and Finance. 64(C):52−70. http://www.sciencedirect.com/ science/article/pii/S0378426615003167.
- Imlak Shaikh and Puja Padhi (2014a). Inter-temporal relationship between India VIX and Nifty equity index, DECISION (Springer India). 41(4). https://www.researchgate.net/publication/268882433_Inter-temporal_ relationship_between_India_VIX_and_Nifty_equity_ index
- Imlak Shaikh and Puja Padhi (2016). On the relationship between implied volatility index and equity index returns, Journal of Economic Studies. 43(1):27−47. https://doi.org/10.1108/JES-12-2013-0198.
- Karam Pal Narwal and Purva Chhabra (2018). An insight of implied volatility Vis-a-Vis its informational efficiency, association with underlying assets and spillovers effects, Asian Journal of Management. 9(2). http://ajmjournal.com/AbstractView.aspx?PID=2018-9-2-17.
- Kumar, S. (2012). A first look at the properties of India’s volatility index, International Journal of Emerging Markets.7(2). https://doi.org/10.1108/17468801211209938.
- Percheklii, D. (2014). Comparison between implied and historical volatility forecasts: Evidence from the Russian stock market. A thesis submitted in partial fulfillment of the requirements for the degree of MA in Economic Analysis, Kyiv School of Economics; 34p. http://www.kse.org.ua/download.php?downloadid=393.
- Best Practices in Immersive Technologies Implementation for Industry 4.0
Authors
1 Information technology company, 218, Cowley Brown Road, R S Puram, Coimbatore, Tamil Nadu, IN
Source
Manufacturing Technology Today, Vol 18, No 6 (2019), Pagination: 24-29Abstract
We are in the era of growing and developing technologies, where immersive technology is one among them. Immersive technology is designed using a computer program, also known as interactive technology, which is being used worldwide. It replicates real world in digital form. Immersive technology has a wide range of tools which include Virtual Reality (VR), Augment Reality (AR) and Mixed Reality (MR). These technologies allow the person to feel that they are actually present within the environment. This can be achieved through motion capturing such as body postures and gestures that are used for interacting within the environment. Several attempts are made to use these technologies in businesses such as Manufacturing process and Advertisement Industries to promote new products. Currently, many industries started experimenting with VR, but still hesitate to fully commit. On the other hand, many are interested in the state of being free from tension and anxiety, but do not want to put into financial schemes on the technology’s hardware. The paper pays attention to the challenges involved in using this Interactive technology in commercial activity successfully.Keywords
Augment Reality, Motion Capturing, VR Environment, Challenges of Implementation.References
- Tariqmasooda, Johanneseggera: augmented reality in support of industry 4.0— implementation challenges and success factors, 2019, 181-195.
- A. Ceruti, p. Marzocca., a. Liverani. C. Bil., maintenance in aeronautics in an industry 4.0 context: the role of augmented reality and additive manufacturing, journal of computational design and engineering (2019).
- Oyekan, John O: The effectiveness of virtual environments in developing collaborative strategies between industrial robots and humans, February 2019, 41-54.
- Lia, Huiyu; Immersive VR Theater with Multi-device Interaction and Efficient Multi-user Collaboration, 2019.
- Quandt, Moritz: General requirements for industrial augmented reality applications, vol. 72, 2018, 1130-1135.
- Berg, Leif P: Industry use of virtual reality in product design and manufacturing: a survey, 2017.
- Fiorentino, Michele: Augmented reality on large screen for interactive maintenance instructions, Computers in Industry 65, 2014, 270-278.
- Best Practises for Digital Implementation
Authors
1 Maxbyte Technologies, Information technology company, 218, Cowley Brown Road, R S Puram, Coimbatore, Tamil Nadu, IN
Source
Manufacturing Technology Today, Vol 18, No 6 (2019), Pagination: 30-33Abstract
Smart factory owners, manufacturing executives, and operation managers are looking for improving the budgets, targets, goal settings, deadlines, speed, efficiency, and lead-time. Maintain product quality after factory changes. With Industry 4.0, everyone is trying to transform the production process that accomplishes the factors mentioned above. There are multiple approaches found for manufacturing industries. However, there are few best practices that will help in digitization and implement digital factory. By analyzing the transformative approach of Industry 4.0, these practices are built for any organization to progress gradually. This paper aims to bring you the different perspectives gained while studying the transformation that can occur in the next few years. Also, it emphasizes on various key challenges faced to implement the practices in the industry. Finally, gives an overview of the best practices to implement the digital factory.Keywords
IIoT, Digital Factory, Digitization, Best practices, Industry 4.0.References
- https://www.maxbytetech.com/
- https://bytefactory.ai/
- https://www.ptc.com/en/
- https://evontech.com/
- https://iot-analytics.com/