Convective, Diffusive Effects on Magnetic Fields and Eddy Current in Compulsators

Compulsators are being designed at ever increasing energies and energy densities and are required to deliver energy to the load in less than 10 ms. These require high speeds of operation and dense spacing of conductors. Diffusion of magnetic fields into the conductors and the formation of nonuniform, time-dependent distribution of eddy currents become dominant design considerations due to their major mechanical, thermal, and thermodynamic impact. A semi-analytical method has been developed for the two-dimensional analysis of field diffusion and eddy currents in high speed rotary machines to aid design decisions. Analytical results for fields are utilized and computations are restricted to the conductor domains alone. The semi-analytical method has been tested with two conductors (one in the stator and one in the rotor rotating at high speed). The resulting distributions of fields and eddy currents are presented.Center for Electromechanic

Damage Characterization Using the Extended Finite Element Method for Structural Health Management

The development of validated multidisciplinary Integrated Vehicle Health Management (IVHM) tools, technologies, and techniques to enable detection, diagnosis, prognosis, and mitigation in the presence of adverse conditions during flight will provide effective solutions to deal with safety related challenges facing next generation aircraft. The adverse conditions include loss of control caused by environmental factors, actuator and sensor faults or failures, and damage conditions. A major concern in these structures is the growth of undetected damage/cracks due to fatigue and low velocity foreign impact that can reach a critical size during flight, resulting in loss of control of the aircraft. Hence, development of efficient methodologies to determine the presence, location, and severity of damage/cracks in critical structural components is highly important in developing efficient structural health management systems

An Enhanced Neural Graph based Collaborative Filtering with Item Knowledge Graph

Recommendation system is a process of filtering information to retain buyers on e-commerce sites or applications. It is used on all e-commerce sites, social media platform and multimedia platform. This recommendation is based on their own experience or experience between users. In recent days, the graph-based filtering techniques are used for the recommendation to improve the suggestions and for easy analysing. Neural graph based collaborative filtering is also one of the techniques used for recommendation system. It is implemented on the benchmark datasets like Yelp, Gowalla and Amazon books. This technique can suggest better recommendations as compared to the existing graph based or convolutional based networks. However, it requires higher processing time for convolutional neural network for performing limited suggestions. Hence, in this paper, an improved neural graph collaborative filtering is proposed. Here, the content-based filtering is performed before the collaborative filtering process. Then, the embedding layer will process on both the recommendations to provide a higher order relation between the users and items. As the suggestion is based on hybrid recommendation, the processing time of Convolutional neural network is reduced by reducing the number of epochs. Due to this, the final recommendation is not affected by the smaller number of epochs and also able to reduce its computational time. The whole process is realized in Python 3.6 under windows 10 environment on benchmark datasets Go Walla and Amazon books. Based on the comparison of recall and NDCG metric, the proposed neural graph-based filtering outperforms the collaborative filtering based on graph convolution neural network

Elementary transition systems

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Study of the relative effectiveness of extension methods in educating fisherwomen

Three experimental groups from three different fishing villages were selected and administered with three extension treatments on two messages, namely, production of fish wafers and fish pickles. There was a significant knowledge gain in the subjects taught through different extension methods. It was observed that lecture aided with slides induced maximum knowledge followed by lecture aided with charts and lecture alone. Among all, the young and highly educated women gained maximum knowledge

PERFORMANCE STUDY OF HYDROGEN POWERED PETROL ENGINE

Hydrogen powered vehicles have been in development for the past decade. While hydrogen fuel cells have been receiving the majority of the attention, they will not be ready for mass production for fifteen to twenty-five years. Hydrogen internal combustion engines may prove to be the most effective solution for the immediate future. This project explores the feasibility of making hydrogen internal combustion engines in mass produced vehicles. We researched the different methods for producing hydrogen, storing it in vehicles and converting traditional internal combustion to burn hydrogen instead of gasoline. Through this research, we investigated the advantages of hydrogen internal combustion engines over hydrogen fuel cell

Induced breeding of Cresent Perch, Terapon jarbua under controlled conditions

822-824Crescent Perch, Terapon jarbua is an important candidate species for brackish water ornamental and food fishes. This fish inhabits brackish water of much of the tropical and sub-tropical Indo-Pacific region on sandy bottom including estuaries. During December 2014, a fully matured female with average egg diameter of 450 μ along with two oozing males were selected for induced spawning trials. Fishes were induced to spawn with Human Chorionic Gonadotropin, HCG hormone @300 IU/kg body weight and Luteinising Hormone Releasing Hormone analogue, LHRHa @ 75 µg/kg body weight; half the hormone dose was administered to male fishes. After 36 h of post-injection, all sets were spawned (fertilized egg mean size: 720 µ± 34.96 µ); the eggs were semi-buoyant in nature, Hatching was noticed after 16-18 h of incubation period. Average size of hatchlings was 2.04 mm ± 0.05 with the yolk sac length of 75 µ and presence of a single oil globule. A total of 3 lakh newly hatched larvae from four sets were collected and used for standardization of nursery rearing protocol. The larvae were reared for 60 days feeding with rotifers and artemia nauplii which then reached the fry size of 30 mm with 20% of survival rate