2,392,868 research outputs found
Supplemental material for Effect of yarn type on moisture transfer characteristics of double-face knitted fabrics for active sportswear
No full textSupplemental material for Effect of yarn type on moisture transfer characteristics of double-face knitted fabrics for active sportswear by B Sathish Babu, P Senthil Kumar and M Senthil Kumar in Journal of Industrial Textiles</p
The Rise of Opaque Products as an Efficient Revenue Management Technique in the Travel Industry
No full textThis paper discusses and reviews in detail about opaque products which is also known as probabilistic goods, right from its inception and beginnings in early 2000’s. Opaque products are virtual goods and can be considered as a relatively new revenue management technique that has aided mainly the travel industry, specifically the airlines and hotels to increase their revenues and profits by intentionally withholding certain key information for some of the products to the customers. For Example, in airline industry the information may be product attributes like carrier, transfers, departure time etc. These products primarily trades consumption value for price savings with the buyers. Several models of opaque products which segment the market, thereby enhancing price discrimination and providing revenue enhancement, specifically in the airline industry have been described in this paper. A specific type of opaque product known as variable opaque product has also been described. Such variable opaque products allow the customer to pick and choose the attributes thereby varying the opaqueness. Thus, they have been found extremely advantageous and provide financial benefits to the airlines while providing welfare to the customers. The advantages of opaque selling models both to the customer as well as the airlines under certain types of environment has also been discussed along with its extensive applications in seat inventory control and inter-temporal pricing. Finally, the paper comes up with a few useful propositions that can be either tested empirically or modelled appropriately along with probable future work that should provide a vivid reader with the necessary spark that would aid him or her to contribute to further useful work in this area
Tears of Wine
No full textThe effect of relative humidity on the phenomenon of Tears of Wine is illustrated in this video. Pure ethanol is mixed with about 10% water and is allowed to form a film over a slant silicon surface
Prime determinants that influence "Life Expectancy": an analysis across Indian states using multiple regressions
No full textBackground/Objectives: To explore life expectancy in Indian states and also to determine how life expectancy is influenced by determinants such as gender, per-capita income, gender, age and area.
Method/ Statistical Analysis: An extensive literature review from various developing and developed countries was initially done to understand the validity of indicators. Suitable indicators that can be focused for Indian states were selected. Secondary data from reliable sources and databases (For Ex. Like India Stat) were collected to perform this study. Regression analysis applying linear multiple regression and stepwise regression using Minitab software has been extensively used to arrive at the key determinants that affect life expectancy in various Indian states.
Findings: Overall, the analyses of the Indian states indicate that literacy rate, access of doctors in rural areas, income, preferences of states (inclusive of geography) by Indian people to reside play as key factors in determining and improving Life Expectancy. Findings include that females have a higher life expectancy than males living in the urban area in most of the Indian states. Also, findings indicate that literacy rate and net income plays a significant role in affecting life expectancy at birth positively in both urban and rural areas in all the states. Geography of the states also plays a key factor that affects life expectancy. Findings indicate that people who live in mid and south India have a higher life expectancy than those residing in the northern states.
Improvement/ Applications: Findings and analysis indicates the suitable steps, that the policy makers of state as well as centre need to take, that can enhance life expectancy and quality of life across the Indian states. Also certain other factors like type of diseases that inhibit life expectancy can be studied in future in detail as they may influence life expectancy in a higher way
The US-India Clean Energy Partnership and Quad Provide Overlapping Pathways to Produce Clean Energy
No full textMr. Nischal Dhungel and Mr. Sethuram Senthil Kumar, Consultant at the World Bank Group and Energy Engineer at both TRC Companies, Inc. and MCFA, respectfully, explain that "Robust partnerships with the United States, strategic cooperation within the Quad framework, and collective efforts across the Indo-Pacific region drive India's transformation in the energy sector."
The views expressed are those of the authors and do not necessarily reflect East-West Center policies or positions
Search for an Optimal Solution to Vague Traffic Problems Using the PSK Method
No full textThere are several algorithms, in literature, for obtaining the fuzzy optimal solution of fuzzy transportation problems (FTPs). To the best of the author's knowledge, in the history of mathematics, no one has been able to solve transportation problem (TP) under four different uncertain environment using single method in the past years. So, in this chapter, the author tried to categories the TP under four different environments and formulates the problem and utilizes the crisp numbers, triangular fuzzy numbers (TFNs), and trapezoidal fuzzy numbers (TrFNs) to solve the TP. A new method, namely, PSK (P. Senthil Kumar) method for finding a fuzzy optimal solution to fuzzy transportation problem (FTP) is proposed. Practical usefulness of the PSK method over other existing methods is demonstrated with four different numerical examples. To illustrate the PSK method different types of FTP is solved by using the PSK method and the obtained results are discussed. </jats:p
PSK-Method-for-Solving-Mixed-and-Type-4-Intuitionistic-Fuzzy-Solid-Transportation-Problems.pdf
No full text In this article, the author categorises the solid transportation problem (STP) under uncertain environments. He formulates the mixed and fully intuitionistic fuzzy solid transportation problems (FIFSTPs) and utilizes the triangular intuitionistic fuzzy number (TIFN) to deal with uncertainty and hesitation. The PSK (P. Senthil Kumar) method for finding an intuitionistic fuzzy optimal solution for fully intuitionistic fuzzy transportation problem (FIFTP) is extended to solve the mixed and type-4 IFSTP and the optimal objective value of mixed and type-4 IFSTP is obtained in terms of triangular intuitionistic fuzzy number (TIFN). The main advantage of this method is that the optimal solution of mixed and type-4 IFSTP is obtained without using the basic feasible solution and the method of testing optimality. Moreover, the proposed method is computationally very simple and easy to understand. Finally, the procedure for the proposed method is illustrated with the help of numerical examples which is followed by graphical representation of the finding. </p
Framework for Cyber Threats in Social Networks
No full textAbstract: Social networking is the most common way of communication nowadays. Maintaining the information’s confidentiality, integrity and availability becomes a very critical aspect. As the number of users on social media keep increasing, the amount of data about the users are available on the network is also increasing. Attacks on these networks are currently at an all-time high which can be by Phishing attacks, Botnets, Sybil Attack, Profile Cloning, Spam, Denial of service to name a few of them. There are a number of threats possible on social networks. Data in social networks must be protected from various types of cyber-attacks. The main requirement is providing security to such networks. Maintaining the information’s confidentiality, integrity and availability becomes a very critical aspect. As and when security is being provided to these networks, attacks are also evolving. Cyber-attacks are becoming complex which means that sometimes the threat for which the solution needs to be found is unknown. Threats are becoming automated, hence, using less efficient algorithms for cyber security is not the optimal solution. Hence, machine learning is used to support cyber security to social networks. A framework is built which comprises of the steps such as Data Collecting, Data Preparing, Applying Machine Learning Techniques, Post-processing by applying domain specific knowledge to build a secure system for social networks using machine learning techniques.Published By:
Blue Eyes Intelligence Engineering
and Sciences Publication (BEIESP)
© Copyright: All rights reserved
Dataset for Mid-infrared liquid spectroscopy using chalcogenide optical waveguide
No full textData to support:
Mittal, Vinita, Wilkinson, James and Ganapathy, Senthil (2016) Mid-infrared liquid spectroscopy using chalcogenide optical waveguide. EMN Photonics '16 Barcelona, ES, 19 - 23 Sep 2016.</span
Scalable asynchronous connected components detection based on a parallel union-find algorithm
No full textConnectivity in a graph is a well-studied problem. Various parallel algorithms to detect and label connected components exist, many of which are optimized for a shared-memory environment. However, scientific and engineering applications today process large-scale graphs that do not fit in a single compute node. This calls for a highly scalable solution to the connectivity problem. We propose a novel distributed-memory parallel algorithm based on the Union-Find data structure and asynchronous messaging. We strengthen the scalability of our approach by introducing several optimization techniques for parallel execution. The algorithm is implemented as a library using Charm++, a migratable object-based parallel programming model, allowing any Charm++ application to easily perform connected components detection. MPI applications may also use the library either via Adaptive MPI, or by using interoperability features of Charm++. In addition, the library will also support reading data from the disk. As a driving use case we utilize the library in ChaNGa, a cosmological simulation framework, to detect clusters of stars and classify galaxies. We evaluate the performance of our algorithm for real and synthetic graphs, computing connectivity on a probabilistic mesh benchmark with over 250 million edges in under 10 seconds using 4,096 cores of the Blue Waters (Cray XE) Supercomputer.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-05-01The student, - Senthil Kumar Karthik, accepted the attached license on 2018-04-24 at 16:01.The student, - Senthil Kumar Karthik, submitted this Thesis for approval on 2018-04-24 at 16:17.This Thesis was approved for publication on 2018-04-24 at 17:09.DSpace SAF Submission Ingestion Package generated from Vireo submission #12454 on 2018-08-31 at 17:21:26Made available in DSpace on 2018-09-04T20:36:54Z (GMT). No. of bitstreams: 2
SENTHILKUMARKARTHIK-THESIS-2018.pdf: 669223 bytes, checksum: 35b2a1b95520cfc20fcd4073f2ddfaa8 (MD5)
LICENSE.txt: 4220 bytes, checksum: f6bfd3369d3dadd3a99e12a3c16d63df (MD5)
Previous issue date: 2018-04-24Embargo set by: Seth Robbins for item 107306
Lift date: 2020-09-04T20:37:00Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 107306
Lift date: 2020-09-04T20:42:08Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 107306 on 2020-09-05T09:15:09Z
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