http://nopr.niscpr.res.in/handle/123456789/44277 2026-10-09T18:05:50Z 2026-10-09T18:05:50Z He, Weida Fu, Yao Hao, Rong http://nopr.niscpr.res.in/handle/123456789/44294 2018-05-02T11:32:50Z 2018-05-01T00:00:00Z

Title: Study on the Influence of Enterprise Micro Behavior on the Safety of Iron and Steel Industry in China Authors: He, Weida; Fu, Yao; Hao, Rong Abstract: Based on the perspective of corporate governance, this paper establishes a fuzzy comprehensive evaluation model to empirically evaluate the impact of corporate behaviour on the safety of China's iron and steel industry, the results show that: From 2005 to 2011, the security situation of the iron and steel industry showed a trend of low to high, then decrease and then rise again; The competition degree of the upstream market is contrary to other indicators, and the effect on industrial safety is decreased. Page(s): 261-263

2018-05-01T00:00:00Z Mandal, J K Das, S http://nopr.niscpr.res.in/handle/123456789/44293 2018-05-02T11:31:05Z 2018-05-01T00:00:00Z

Title: An Information Hiding Scheme in Wavelet Domain using Chaos Dynamics Authors: Mandal, J K; Das, S Abstract: In this paper an information hiding scheme in images has been proposed in transform domain using four point Daubechies Wavelet where Horizontal, Vertical and diagonal coefficients of the transformed matrix are used to embed the secret information which itself scrambled using cross coupled chaotic map with 3.5bpB payload. Transformation coefficients are prehandled through multiplying by π to overcome loss of precession. Embedded matrix is adjusted prior to reverse transformation to obtain optimal change in the embedded images which follows the inverse transformation to produce the embedded image in spatial domain. The results obtained are compared with existing techniques which shows better performance of the proposed scheme in terms of payload and quality of embedded image. Page(s): 264-267

2018-05-01T00:00:00Z Prashanth, K D Parthiban, P Dhanalakshmi, R http://nopr.niscpr.res.in/handle/123456789/44292 2018-05-02T11:25:53Z 2018-05-01T00:00:00Z

Title: Evaluation and Ranking of Criteria Affecting the Supplier’s Performance of a Heavy Industry by Fuzzy AHP Method Authors: Prashanth, K D; Parthiban, P; Dhanalakshmi, R Abstract: Heavy Industry is an industry that involves one or more characteristics such as Large and Heavy Products; Large or Heavy Equipment and facilities; or Complex and Numerous Processes. Outsourcing in heavy industry sector has gained a strategic importance in order to survive in the cost and quality conscious environment. In order to meet the customer demand promptly, any industry must have a healthy and competent supplier base. The purpose of this paper is to evaluate and rank the criteria affecting the performance of the suppliers of a Heavy Industry (BHEL, Tiruchirappalli) by using Multi Criteria Decision Making Tool (MCDM) – Fuzzy Analytical Hierarchy Process (AHP). The Criteria and Sub Criteria affecting the supplier performance have been decided by a team of experts from the industry and through literature study. AHP derives the relative weights of the criteria using pairwise comparison between criteria in a hierarchical system. It also provides a clear picture to the industry about the importance of various factors affecting the performance of the suppliers. This research helps the industry and its suppliers to identify the factors in which they need to strengthen in order to improve their performance. Page(s): 268-270

2018-05-01T00:00:00Z Subrammanian, A Jabaraj, D B Jayaprakash, J http://nopr.niscpr.res.in/handle/123456789/44291 2018-05-02T11:23:36Z 2018-05-01T00:00:00Z

Title: Multi-objective Optimization of Resistance Spot Welding of AISI 409M Ferritic Stainless Steel Authors: Subrammanian, A; Jabaraj, D B; Jayaprakash, J Abstract: Resistance spot welding is a widely used sheet metal joining process in automobile and rail car manufacturing industries. One of the most important quality characteristics of a spot welded joint is its tensile shear strength, as it is crucial in improving the crashworthiness of the vehicle. Amount of indentation made by the electrode on the surface of the sheet during spot welding, is another quality characteristic that needs to be minimized, to improve the surface finish and aesthetic value. Ensuring maximum strength of the spot weld joint, while keeping indentation at the minimum level is one of the major challenges in spot welding. In this work, multi-objective Taguchi method has been applied for optimization of various input parameters in resistance spot welding of AISI 409M ferritic stainless steel sheets, to maximize the tensile shear strength of the weld joint and minimize the surface indentation simultaneously. Furthermore, a linear response surface model has been developed to correlate tensile shear strength and indentation values with process parameters. The optimum values of control parameters were 11.5 KA for current, 14 cycles for weld time and 3.5 KN for electrode force. Current was found to be the most influential parameter affecting tensile shear strength and indentation. Results of the optimization process were validated by confirmation test. Page(s): 271-275

2018-05-01T00:00:00Z