Parameter extraction and performance evaluation of glazed PVT module for Indian climatic conditions based on soft computing technique

2016 ◽  
Author(s):  
Sonveer Singh ◽  
Amit Kumar Dash ◽  
Neeraj Kumar ◽  
Sanjay Agrawal
Keyword(s):  
Performance Evaluation ◽  
Soft Computing ◽  
Parameter Extraction ◽  
Climatic Conditions ◽  
Computing Technique ◽  
Indian Climatic ◽  
Soft Computing Technique ◽  
And Performance

Performance Evaluation of Concentrating Solar Cooker Under Indian Climatic Conditions

2008 ◽  
Author(s):  
S. K. Shukla ◽  
S. K. Gupta
Keyword(s):  
Performance Evaluation ◽  
Holistic Health ◽  
Climatic Conditions ◽  
Maximum Temperature ◽  
Modeling And Analysis ◽  
Energy And Exergy ◽  
Indian Climatic ◽  
Low Efficiency ◽  
And Performance ◽  
Experimental Values

The work presented in this paper essentially consists of modeling and analysis of energy and exergy efficiency of a community solar cooker, installed at Holistic Health and Food Centre, I.I.T. Delhi India in March 1998. The cooker is meant for community cooking, which consists of a linear parabolic concentrator with concentration ratio of 20. The experiments, on this cooker, were performed in summer and winter, both the climatic conditions. The measurements were done by using microprocessor based on line data acquisition system using class I solar pyranometer and Pt. 100 temperature sensors. Based on the experimental data obtained by testing and performance evaluation of this concentrating type of solar cooker, the energy and exergy efficiencies are calculated. From an analysis of the experimental values the average efficiency of this cooker is measured as 14% only. The different losses contributes to low efficiency are optical losses (16%), geometrical losses (30%) and thermal losses (35%) accounts for more than, 80% energy waste from the radiation coming to the reflector. The rest of the losses are due to edge losses etc. the maximum temperature of water was recorded 98°C during water heating tests.

Utilization of Soft Computing Techniques in Sputtering Processes: A Review

2013 ◽  
Vol 832 ◽  
pp. 260-265
Author(s):  
Norlina M. Sabri ◽  
Mazidah Puteh ◽  
Mohamad Rusop Mahmood
Keyword(s):  
Soft Computing ◽  
Process Parameters ◽  
Optimization Techniques ◽  
Future Research ◽  
Film Properties ◽  
Reliable Technique ◽  
Computing Technique ◽  
Optimization Of Process Parameters ◽  
Soft Computing Techniques ◽  
Soft Computing Technique

This paper presents an overview of research works on the utilizing of soft computing in the optimization of process parameters and in the prediction of thin film properties in sputtering processes. The papers from this review were obtained from relevant databases and from various scientific journals. The papers collected were published from 2008 to 2012. The focus of the review is to provide an outlook on the utilization of soft computing techniques in sputtering processes. Based on the review, the soft computing techniques which have been applied so far are ANN, GA and Fuzzy Logic. The first finding of this review is that soft computing technique is a promising and more reliable approach to optimize and predict process parameters compared to the traditional methods. The second finding is that the utilizing of soft computing techniques in sputtering processes are still limited and still in exploratory phase as they have not yet been extensively and stably applied. The techniques applied are also limited to ANN, GA and Fuzzy, whereas the exploration into other techniques is also necessary to be conducted in order to seek the most reliable technique and so as to expand the application of soft computing approach. Future research could focus on the exploration of other soft computing techniques for optimization in order to find the best optimization techniques based on the specific processes.

scholarly journals Exploring R&D Influences on Financial Performance for Business Sustainability Considering Dual Profitability Objectives

2017 ◽  
Author(s):  
Kao-Yi Shen ◽  
Min-Ren Yan ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Financial Performance ◽  
Soft Computing ◽  
Evaluation Model ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
High Tech ◽  
Computing Technique ◽  
Business Sustainability ◽  
Soft Computing Technique ◽  
Dual Objectives

The influence and importance of research and development (R&D) for business sustainability have gained increasing interests, especially in the high-tech sector. However, the efforts of R&D might cause complex and mixed impacts on the financial results considering the associated expenses. Thus, this study aims to examine how R&D efforts may influence business to improve its financial performance considering the dual objectives: the gross and the net profitability. This research integrated a rough-set-based soft computing technique and multiple criteria decision-making (MCDM) methods to explore this complex and yet valuable issue. A group of public listed companies from Taiwan, all in the semiconductor sector, was analyzed as a case study. Initially, more than 30 variables were considered, and the adopted soft computing technique retrieved 14 core attributes—for the dual profitability objectives—to form the evaluation model. The importance of R&D for pursuing superior financial prospects is confirmed, and the empirical case demonstrates how to guide an individual company to plan for improvements to achieve its long-term sustainability by this hybrid approach.

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