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Raising the Efficiency of the Indian Farmer by Switching Him from Crops to Electricity Generation
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Peritoneal adhesions during cesarean delivery are an independent risk factor for peri-partum hemorrhagic complications
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結草報恩 一以貫之 결초보은 일이관지
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Will the future BE POSITIVE? Early life experience as a signal to the developing brain pre school entry
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시간제 보육 제공기관 담당자의 생각과 경험 연구: 어린이집 및 육아종합지원센터를 중심으로
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(김영자의) 레전드 인생 : 우리시대의 라이프스토리
- 검색키워드
- 저자 : S. Shanmugapriya (검색결과 4 건)
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S. Shanmugapriya,K. Subramanian 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.4
This paper focused on investigating the key factors for safety improvement in construction organizations and the causal relationship among the key factors using Partial Least Squares Structural Equation Modeling approach (PLS-SEM). A hypothetical conceptual model for improving safety performance was developed based on the European Foundation for Quality Management (EFQM) model, which provides the framework for organizational management systems in identifying the areas of performance improvement. The conceptual model is composed of five enablers namely Leadership, People, Partnership and Resources, Policy and Strategy and Process and one Result criteria which are achieving the goals of safety performance improvement. The study has adopted questionnaire survey as the methodology to test the conceptual model. The indicators for these enablers and result criteria were extracted from the past literature and by a pilot study. Then a questionnaire was framed as per the discussion with the experts in the construction industry and distributed to clients, contractors and consultants. The results of the model suggested that leadership construct strongly influences people (path coefficient = 0.52) and process construct strongly influences the goals of attaining safety performance improvement (path coefficient = 0.68 and R2 value = 0.457). The Global fit index of the model was found to be 0.42 which suggest that the model has good reliability and validity and fits the data very well. The findings from this study provide insight to construction professionals to focus on the implications from leadership factors and process factors to improve the safety performance within an organization.
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S. Jegadeesan,M. Dhamodaran,M. Azees,S. Sri Shanmugapriya 한국자기학회 2018 Journal of Magnetics Vol.23 No.2
In this paper, a high resolution magnetic measurements are performed in an AES (advanced encryption standard) cryptographic FPGA by using a newly designed magnetic probe. The probe consists of high resolution scanning system and magnetic field collecting coil integrated with 3-stage low noise amplifier to enhance the sensed voltage. Also, to improve the performance of the magnetic coil, the Si-substrate is removed under the coil by using FIB process. The results and discussion section clearly shows that, the proposed magnetic probe gives more detailed information about the susceptible area of an AES cryptographic FPGA surface with high resolution maps in different frequency bands compared with the existing magnetic probe.
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A Conceptual Framework to Study the Effectiveness of Interface Management in Construction Projects
KEERTHANAA, K.,SHANMUGAPRIYA, S. Korea Institute of Construction Engineering and Ma 2019 Journal of construction engineering and project ma Vol.9 No.3
The management of mega construction projects which incorporate a large number of stakeholders, technologies, data, work culture etc., is cumbersome. The experts in the construction arena advocate that interface management serves as a precise tool in resolving these conflict points due to the intricate nature of the construction projects. Interface management is a current trending management practice in the construction industry which is also a beneficiary to mega/fast track projects in enhancing the project performance. The main objective of this study is to validate a model for assessing the relationships among interface management, IT applications, project performance & project benefits. The mediating effect of interface management in relationship between project performance & interfacial factors was also investigated. The research model was validated using PLS-SEM (Partial Least Square-Structural Equation Modelling) approach. Data were collected from clients, contractors, consultants in large scale projects through questionnaire survey and smart-PLS software was used to analyse the conceptual model. The research model comprises eleven hypothesis and the significance of these hypothesis were tested using T- statistics values. The research implies that people/participants factor is greatly influenced by interface management with the path coefficient of 0.608 and also enhancement of project's schedule performance due to the interface management is strongly appealing (Path coefficient = 0.711). The results also reveal IT application is significantly associated with interface management practice (Path coefficient =0.723) and also the effect of IT application on project performance (schedule, cost, quality & safety) is successfully mediated through interface management practice. The practical application of this validated model was done through case study. The case study aims at measuring the impact of interface management on interfacial factors and role of interface management in improving the project performance in the construction organisations.
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Princy, J. Darwin,Shanmugapriya, S. Korea Institute of Construction Engineering and Ma 2017 Journal of construction engineering and project ma Vol.7 No.3
Preeminent performance of construction industry are unattainable with poor productivity resulting in time and cost over runs. Enhancement in productivity cannot be achieved without identifying and analyzing factors that adversely affect productivity. The objective therefore is to propose a productivity analysis model to quantify the probability of effect of factors influencing productivity by using fuzzy logic incorporated with relative importance index method, for various types of construction projects. To achieve this objective, a questionnaire survey was carried out targeting respondents of Indian construction industry, from four distinct projects, namely, residential, commercial, infrastructure and industrial projects. Based on questionnaire administered, the relative importance and ranks of factors demonstrated using relative importance index method. Probability assessment model to analyze productivity was then developed by using Fuzzy Logic Toolbox of MATLAB. The applicability of the proposed model was tested in seven construction projects and the probability of impact of factors on productivity evaluated. The results of application of model in the construction firms infers that the most contributing factor groups for most of the projects were discerned to be manpower, motivation and time group.
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