A knowledge-based decision support system for payload scheduling

This paper presents the development of a prototype Knowledge-based Decision Support System, currently under development, for scheduling payloads/experiments on space station missions. The DSS is being built on Symbolics, a Lisp machine, using KEE, a commercial knowledge engineering tool

Nonequilibrium phase transitions in models of adsorption and desorption

The nonequilibrium phase transition in a system of diffusing, coagulating particles in the presence of a steady input and evaporation of particles is studied. The system undergoes a transition from a phase in which the average number of particles is finite to one in which it grows linearly in time. The exponents characterizing the mass distribution near the critical point are calculated in all dimensions.Comment: 10 pages, 2 figures (To appear in Phys. Rev. E

Literature Review Report on-“Work-Life Balance of Loco-Pilots (Railway Drivers) in India”

The railway driver is exposed to a demanding psychosocial work environment, which includes solitary work, limited opportunities for social contact and a heavy responsibility for operating the train (in terms of both safety and adhering to the timetable). The railway driver’s job, i.e. to operate the train, is largely governed by timetables and technical conditions (e.g. type of train, track area), which restricts the driver’s ability to decide for himself how the job is to be done. Railway drivers struggle to fulfill work and family responsibilities. This struggle is due to long hours, irregular and inflexible work schedules, and heavy workloads. Thus, work–family conflict can be a common work stressor for railway drivers. This paper deals with the quality of work life of Indian railways’ drivers and the factors that lead to an imbalance, causing high probability of accident. This paper discusses the working conditions and quality of life to the Indian railway drivers. This paper also briefly reviews concepts relevant to defining work-life balance. This  review of literature deals with the Work-Life balance of an Indian railways’ drivers to determine the working conditions and level of their work life balance which is having very high importance on their total wellbeing and hence their productivity and entire growth of an Indian railway. Keywords: Railway driver, Working conditions, Stress and Work-life balanc

Literature Review Report on -“An Analytical Study on Working Conditions of Loco-Pilots (Railway Drivers) in India”

The work of Indian railways’ drivers is considered as extremely stressful. It is working in an environment over which they have no control whatsoever and is an atmosphere that wrecks their schedules, disrupts their home life, makes social activities and regular breaks very hard to plan. This paper deals with the working conditions of Indian railways’ drivers and the factors that lead to a fatigue and stress, causing high probability of accident. This review of literature deals with the working conditions of an Indian railways’ drivers which is having very high importance on their total wellbeing and hence their productivity and entire growth and safety of an Indian railway. Keywords: Railway driver, working conditions, fatigue and stress

Length-weight relationship, feeding traits and nutritional value of mahi mahi (Coryphaena hippurus) in the south-eastern Arabian Sea

The fork length of the specimens of C. hippurus collected along Karnataka coast ranged from 30- 123 cm and fishes having length range from 33-73 cm represented 79% of the total fish sampled. The estimated b values of C. hippurus for both males and females were less than 3 which indicated negative allometric growth; the fish grows faster in length than weight. The most dominant item recorded in the gut of C. hippurus was pelagic and mesopelagic teleosts. Cephalopods (squids, cuttlefish and octopus) were the second important food constituent while crustaceans consisting of crabs and shrimps formed very less quantity

Land Cover/Land Use Mapping Using Soft Computing Techniques with Optimized Features

The chapter discusses soft computing techniques for solving complex computational tasks. It highlights some of the soft computing techniques like fuzzy logic, genetic algorithm, artificial neural network, and machine learning. The classification of the remotely sensed images is always a tedious task. So, here we explain how these soft computing techniques could be used for image classification. Image classification mainly concentrates on the feature’s extraction process. The features extracted in an efficient manner improve classification accuracy. Hence, the different kinds of features and different methods for these extractions are explained. The best extracted features are selected using genetic algorithm. Various algorithms are shown and comparisons are made. Finally, the results are verified using a hypothetical case study

Analysis on techniques used to recognize and identifying the Human emotions

Facial expression is a major area for non-verbal language in day to day life communication. As the statistical analysis shows only 7 percent of the message in communication was covered in verbal communication while 55 percent transmitted by facial expression. Emotional expression has been a research subject of physiology since Darwin’s work on emotional expression in the 19th century. According to Psychological theory the classification of human emotion is classified majorly into six emotions: happiness, fear, anger, surprise, disgust, and sadness. Facial expressions which involve the emotions and the nature of speech play a foremost role in expressing these emotions. Thereafter, researchers developed a system based on Anatomic of face named Facial Action Coding System (FACS) in 1970. Ever since the development of FACS there is a rapid progress of research in the domain of emotion recognition. This work is intended to give a thorough comparative analysis of the various techniques and methods that were applied to recognize and identify human emotions. This analysis results will help to identify the proper and suitable techniques, algorithms and the methodologies for future research directions. In this paper extensive analysis on the various recognition techniques used to identify the complexity in recognizing the facial expression is presented. This work will also help researchers and scholars to ease out the problem in choosing the techniques used in the identification of the facial expression domain

Controlling antiferromagnetic domains in patterned La0.7Sr0.3FeO3 thin films

Transition metal oxide thin films and heterostructures are promising platforms to achieve full control of the antiferromagnetic (AFM) domain structure in patterned features as needed for AFM spintronic devices. In this work, soft x-ray photoemission electron microscopy was utilized to image AFM domains in micromagnets patterned into La0.7Sr0.3FeO3 (LSFO) thin films and La0.7Sr0.3MnO3 (LSMO)/LSFO superlattices. A delicate balance exists between magnetocrystalline anisotropy, shape anisotropy, and exchange interactions such that the AFM domain structure can be controlled using parameters such as LSFO and LSMO layer thickness, micromagnet shape, and temperature. In LSFO thin films, shape anisotropy gains importance only in micromagnets where at least one extended edge is aligned parallel to an AFM easy axis. In contrast, in the limit of ultrathin LSFO layers in the LSMO/LSFO superlattice, shape anisotropy effects dominate such that the AFM spin axes at micromagnet edges can be aligned along any in-plane crystallographic direction