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GA Based Heuristic to Minimize Makespan in Single Machine Scheduling Problem with Uniform Parallel Machines  [PDF]
P. Senthilkumar, S. Narayanan
Intelligent Information Management (IIM) , 2011, DOI: 10.4236/iim.2011.35025
Abstract: This paper considers the single machine scheduling problem with uniform parallel machines in which the objective is to minimize the makespan. Four different GA based heuristics are designed by taking different combinations of crossover methods, viz. single point crossover method and two point crossover method, and job allocation methods while generating initial population, viz. equal number of jobs allocation to machines and proportionate number of jobs allocation to machines based on machine speeds. A detailed experiment has been conducted by assuming three factors, viz. Problem size, crossover method and job allocation method on 135 problem sizes each with two replications generated randomly. Finally, it is suggested to use the GA based heuristic with single point crossover method, in which the proportionate number of jobs allocated to machines based on machine speeds.
Influence Of Hole Size, Hole Shape And Hole Pattern On Spring-Back Effect In Perforated Sheet Metals Using FEM
VENKATACHALAM, G.,NARAYANAN, S.,SATHIYA NARAYANAN, C.
International Journal of Engineering Science and Technology , 2012,
Abstract: Spring-back is a phenomenon that occurs during metal forming processes. It occurs from the elastic recovery during unloading. Spring-back effect of perforated commercial pure Aluminium sheet is investigated in this work. Perforated sheet metals performance is influenced by percentage of open area, number of holes, ligamentratio, hole size, hole shape, arrangement of hole pattern and thickness. Among the above, the influences of hole size, hole shape and hole arrangement pattern are considered in this paper. Sheet metal V-bending process is modeled using Finite Element Method. It has been found that spring-back decreases when hole size increases.Sheets with square holes exhibit more spring-back than that of circular holes. Spring-back of sheets with holes arranged in triangular pattern is less than that of holes arranged in square pattern.
Fuzzy -normed linear space
AL. Narayanan,S. Vijayabalaji
International Journal of Mathematics and Mathematical Sciences , 2005, DOI: 10.1155/ijmms.2005.3963
Abstract: The primary purpose of this paper is to introduce the notion of fuzzy n-normed linear space as a generalization of n-normed space. Ascending family of α-n-norms corresponding to fuzzy n-norm is introduced. Best approximation sets in α-n-norms are defined. We also provide some results on best approximation sets in α-n-normed space.
Decision Aiding to Overcome Biases in Object Identification
Mary Fendley,S. Narayanan
Advances in Human-Computer Interaction , 2012, DOI: 10.1155/2012/790304
Abstract: Human decision makers typically use heuristics under time-pressured situations. These heuristics can potentially degrade task performance through the impact of their associated biases. Using object identification in image analysis as the context, this paper identifies cognitive biases that play a role in decision making. We propose a decision support system to help overcome these biases in this context. Results show that the decision support system improved human decision making in object identification, including metrics such as time taken to identify targets in an image set, accuracy of target identification, accuracy of target classification, and quantity of false positive identification. 1. Introduction As the growth of sensor technology outpaces the analyst’s ability to process captured images, object identification within the military image analysis task has become an increasingly time-critical human problem-solving task [1]. Intuitively, in this information-rich domain, the pressure associated with time-critical decision making can lead human operators to deploy a variety of techniques to alleviate the time pressure. When this time pressure persists, the decision maker often changes their cognitive processing methods, leading to the use of cognitive heuristics and their resulting biases. Cognitive heuristics are rules-of-thumb employed during decision making that can lead to biases that degrade the quality of decisions. Huey and Wickens [2] identify how heuristics and biases impact decision making through the distortion of hypothesis formulation and situation awareness. They also conclude that this distortion, which can degrade decision making, can occur during information processing. Pioneering work by Tversky and Kahneman [3] and others in the judgmental decision making field [4–8] identifies several heuristics and biases that commonly appear during decision-making tasks. Although much research has been done on the effects of biases in judgmental decision making tasks, there has been little work done that specifically identifies cognitive biases within a time-critical task such as object identification. Thus there is a need to understand potential biases and develop support systems to mitigate their negative impacts, thereby aiding the analyst [9]. While decision support tools such as algorithms are currently being developed, they are presently not employed extensively by image analysts (IAs) in field settings [10]. Clearly, the dearth of tools indicates further work is needed to develop effective decision support methods to relieve the
Incidence of ocular myiasis due to infection with the larva of oestrus ovis (Oestridae Diptera)
Narayanan S,Jayaprakash K
Indian Journal of Ophthalmology , 1991,
Abstract: The present paper is the result of the study of frequent occurrences of ocular myiasis due to the infection by the insect larva in 14 patients. The collected larvae were identified as first stage larva of oestrus ovis. The results of the examinations of the infected eyes show swollen conjunctiva, redness and watering of the eyes. These symptoms may be mistaken for mucopurulent conjunctivitis. The above results are discussed with earlier literature.
Quid Pro Quo Nature of Leadership Trust Formation – A Monadic Study from the Subordinate’s Perspective
S. Sathya Narayanan
International Journal of Business and Management , 2012, DOI: 10.5539/ijbm.v7n21p113
Abstract: This study investigates the relevance of leader characteristics in influencing the leadership trust formation among subordinates through a structural model. Although previous studies on leadership trust have identified such antecedents, specific structural models of leadership trust formation are not established hitherto. Hypothesised relationships in this study are investigated using structural equation modeling to establish direct and indirect linkages between leader characteristics and leadership trust formation, thereby leading to an established model. The findings reveal that the tenure of the work relationship between a leader and subordinate and the leader’s trustworthy behaviour will not directly influence leadership trust. The perceived ability of the leader and the interdependent nature of work directly influences trust formation in leaders. The trust reciprocity variable – the belief that the leader trusts the subordinate – significantly influences leadership trust. This research is cross-sectional in nature and three selected variables are measured through single item global scales, which call for further studies overcoming their inherent weaknesses. As this study is monadic from the perspective of the subordinates, a dyadic study including the leader’s perspective is recommended. To generate leadership trust, a leader should not only exhibit trustworthy actions and behaviour but also should ensure that the subordinates believe that he/she trusts them. Therefore, a leader’s trustworthy actions will create a reciprocal belief among subordinates and in turn generate trust in leaders. The “give and take” nature of leadership trust formation is established through a structural model which is the unique contribution of this study to the extant literature.
Raman spectrum of rutile (TiO2)
P S Narayanan
- , 1950,
Abstract:
The distribution of intensity in the Raman spectrum of diamond
P S Narayanan
- , 1951,
Abstract:
Raman spectrum of ammonium di-hydrogen phosphate
P S Narayanan
- , 1948,
Abstract:
Raman spectrum of cesium bromide
P S Narayanan
- , 1955,
Abstract:
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