• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.1
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• pp.93-113
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• 2020

According to information theory, non-orthogonal transmission can achieve the multiple-user channel capacity with an onion-peeling like successive interference cancellation (SIC) based detection followed by a capacity approaching channel code. However, in multiple antenna system, due to the unideal characteristic of the SIC detector, the residual interference propagated to the next detection stage will significantly degrade the detection performance of spatial data layers. To overcome this problem, we proposed a modified power-domain non-orthogonal multiple access (P-NOMA) scheme joint designed with space-time coding for multiple input multiple output (MIMO) NOMA system. First, with proper power allocation for each user, inter-user signals can be separated from each other for NOMA detection. Second, a well-designed quasi-orthogonal space-time block code (QO-STBC) was employed to facilitate the SIC-based MIMO detection of spatial data layers within each user. Last, we proposed an optimization algorithm to assign channel coding rates to balance the bit error rate (BER) performance of those spatial data layers for each user. Link-level performance simulation results demonstrate that the proposed time-space-power domain joint transmission scheme performs better than the traditional P-NOMA scheme. Furthermore, the proposed algorithm is of low complexity and easy to implement.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.831-838
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• 2022

Machine Learning is a process of using computer algorithms to extract information from raw data to solve complex problems in a data-rich environment. It has been used in the construction industry by both academics and practitioners for multiple applications to improve the construction process. The Construction Industry Institute, a leading construction research organization has twenty-five years of experience in benchmarking capital projects in the industry. The organization is at an advantage to develop useful machine learning applications because it possesses enormous real construction data. Its benchmarking programs have been actively used by owner and contractor companies today to assess their capital projects' performance. A credible benchmarking program requires statistically valid data without subjective interference in the program administration. In developing the next-generation benchmarking program, the Data Warehouse, the organization aims to use machine learning algorithms to minimize human effort and to enable rapid data ingestion from diverse sources with data validity and reliability. This research effort uses a focus group comprised of practitioners from the construction industry and data scientists from a variety of disciplines. The group collaborated to identify the machine learning requirements and potential applications in the program. Technical and domain experts worked to select appropriate algorithms to support the business objectives. This paper presents initial steps in a chain of what is expected to be numerous learning algorithms to support high-performance computing, a fully automated performance benchmarking system.

• Hwankyungkyoyuk
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• v.17 no.2
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• pp.106-121
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• 2004

This thesis examined and analyzed the occupational status of the promising occupations in the environmental industry. A study on the status of the occupations in the environmental industry is very necessary for planning policies and improving occupations in the environmental industry. Studies and discussions regarding the status of the occupations in the environmental industry, however, were extremely insufficient. A survey of the employees in the environmental industry was conducted in order to certainly comprehend the status of the occupations, educational and training programs, and occupational changes and to utilize the result of the survey as foundational data necessary for occupational studies in the environmental industry. The subject of the survey was limited to the employees who had work for one or more years in twenty promising occupations in the environmental industry. The content of the survey was occupational performance competencies, occupational careers, the degree of occupational satisfaction, vocational education and training, working conditions, occupational changes, and the security of the human resources. Dissimilarities as well as similarities among twenty promising occupations were discovered according to the analysis result of the occupations in the environmental industry. A major discovery was that there are lots of difficulties in securing environment-related human resources. Primary reasons for the difficulties were inconsistent working conditions and the shortage of the qualified human resources. To solve the difficulties in securing the human resources, the curriculum of the educational and the training institutes should be innovated and the human resources from the institutes could be applied to the workplace directly after the graduation.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.41-46
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• 2022

This study analyzed the results and implications of the industry-university cooperation human resource nurturing process based on the I-O model for the Motion Graphics major and the Global Hotelier major in Baek seok University. In this study, based on the analysis of the human resources training performance through industry-university cooperation in the motion graphics and hotelier fields for 5 years, what kind of efforts were made for successful human resource training, and the level of performance was analyzed and improvement points were suggested. In this study, four strategies were set for successful industry-university-tailored human resource nurturing: student-industry matching through industry participation in education, industry-university integrated education, education quality advancement, and customized education infrastructure construction. As a result of the analysis, customized human resource training should first be developed through industry demand survey and a mirror-type practice room should be built to fit the corporate environment. Second, it was found that it is possible to be individual only if there is an active participation of industry experts throughout the curriculum such as subjects and non-subjects.

• The Journal of Industrial Distribution & Business
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• v.9 no.3
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• pp.45-56
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• 2018

Purpose - The Korean university education system is facing innovation and change, including cooperation between industry and university, Therefore It is important to activate the industry-university cooperation. This paper aims to demonstrate the factors that activate industry-university cooperation, particularly about the voluntary participation induction by industry and researching in path dependency perspectives. Research design, data, and methodology - The subject of this research were companies that are aware of the industry-university cooperation program. This research hypothesis is derived from the literature of previous studies of industry-university cooperation, This study have constructs that was defined operationally with reference to previous studies, this research model design to figure out structural relationship among technology leadership of university, university specialization, local network strength, fixation of local economy, recognition of path dependence, participation by industry, performance of industry-university cooperation. From 2017 July. 1 to Sept. 31, questionnaire survey targeting company staff who is involving in industry-university cooperation. 257 questionnaire survey had conducted. 249 investigated data were used for empirical analysis except wrong data. This data were used for AMOS(structural equation) & Regression statistics to verify hypothesis which developed by researcher. Results - The results of this study are as follows. First, technology leadership of universities has a significant effect on voluntary participation by industry. University specialization has significant effect on voluntary participation by industry. Second, local network strength has significant effect on voluntary participation by industry. but fixation of local economy does not affect voluntary participation by industry. Third, recognition of path dependence has moderating effect between Independent(university, company characteristics) and dependent variables(voluntary participation by industry) When recognition level of path dependence is high, preceding factors have a significant effect on voluntary participation by industry than recognition level of path dependence is low. As a result, the degree of recognition of path dependence was shown important variables that induce voluntary participation of industry for industry-university cooperation program. Conclusions - This study suggests that voluntary participation of industry is a very important factor in the achievement of industry-university cooperation. Recognition of interdependence as well as leading factors that encourage voluntary participation of industry is also just as important. If recognition of path dependence was high, Industry's voluntary participation was high.

• Journal of the Korea Institute of Building Construction
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• v.8 no.2
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• pp.89-97
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• 2008

This study has provided the answer which construction companies to make complete competitive factors for sustainable growth in construction industry with to 21C environment changes. So the purpose of study is to provide a guideline for establishing the strategy of existence and growth. In order to carry out this purpose of study, above all after has been reviewed Quality Management by considering the characteristics of construction companies, TQM component and business performance, the study has been made a close inquiry in causal relationship between TQM component(leadership, participation, education-training) and business performance(safety) in construction industry. The result of the study can be summarized as follows : First, a test was conducted to whether TQM component(participation) has a significantly positive effect on business performance(safety). Second, it was found that there was a positive casual relationship between each of the TQM factors and business performance(safety). TQM(Total Quality Management) factors had great influences on the business performance of construction companies. So construction companies needed to make continuous efforts to enhance the business performance through TQM approach.

• KEPCO Journal on Electric Power and Energy
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• v.3 no.1
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• pp.9-16
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• 2017

The performance test is conducted for the purpose of determining the accurate thermal performance of the power generation facility or deriving the factors of thermal efficiency degradation. Compared to the acquisition method of power plant thermal performance test data by compensating cable or transmission cable, performance test using wireless instrument can acquire digital data in order to shorten the period due to installation and demolition of instrument and enhance safety of workers and relatively accurate data can be acquired thereby improving work efficiency. Wireless instruments have already been introduced to the market a long time ago, and some of them are used in industry such as petrochemical industry. However, there is no example which has been conducted for performance test of power generation facilities. In order to apply power generation facilities, a reliable system capable of acquiring performance data smoothly without affecting the control system is required. The wireless measurement system can eliminate the measurement defects and errors such as the damage due to the movement of the connecting cable, the extension due to the extension of the shield wire, the contact failure at the contact point between the measuring sensor and the connecting wire, This method has the advantage of collecting relatively accurate performance test data.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.119-129
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• 2020

The main purpose of this study is to examine the impact of intellectual capital disclosure (ICD) on firm performance in the pharmaceutical and chemical industry of Bangladesh. In this study, 21 listed pharmaceutical and chemical companies have been selected as sample for 2016 and 2017. This study used the intellectual capital disclosure index developed by Rahman, Sobhan, and Islam. Return on assets and return on equity have been used as the proxy variable of firm performance. In this study, content analysis is performed to assess the level of disclosure regarding intellectual capital and pooled cross-sectional analysis is used to assess the relationship between ICD and firm performance. The study has found a positive and significant relationship between ICD and firm performance. Besides, an in-depth analysis of this study shows that all the components of ICD namely internal capital disclosure, external capital disclosure, and human capital disclosure are also positively and significantly associated with firm performance. The study suggests the development of an intellectual capital disclosure framework by the regulatory authority for mandatory compliance. This will improve the quality and quantity of ICD in the annual reports. Besides, firms should more emphasize on ICD which will help to improve their performance.

• Journal of Distribution Science
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• v.20 no.2
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• pp.101-108
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• 2022

Purpose: In this logistics disturbance period, this study conducts research of distribution and logistics firms in Korea. The purpose of this exploratory research is to analyze global competitive capability influence on business performance. And give managerial implications and contribute to academics. Research design, data, and methodology: This research empirically analyzes the relationship between global competitive capability and business performance. As for business performance this research considered non-financial performance and measured with business performance fulfillment. As for antecedent variables, this research measured three global competitive capability constructs; preparation, utilization, intensive capability. And each construct includes two capability concepts. This study used 2,316 executing direct export distribution and logistics industry firmsfrom KOTRA's GCL data. This research used frequency analysis, reliability analysis, correlation analysis, and step-wise regression analysis by SPSS26. Results: The result shows that all the variables except export infra showed statistically significant. As results show, mid/long strategy & global mind of preparation capability, both communication and marketing of utilization capability and market strategy and product/goods/service of intensive capability give a positive influence on business performance fulfillment. Conclusions: Based on the results, this research provide implication for practical management, contribution to academic, and suggestion for feature research.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.8
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• pp.29-36
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• 2022

The objective of this research is to find out the effect of innovative culture and quality of work life on competitive advantage strategy with the mediation of individual performance. This research is the continuance of previous research conducted by Adya Hermawati with an originality aspect emphasizing a concept comprising innovative culture, quality of work life, and individual performance as factors that control competitive advantage strategy. The research subject is Tourism Industry SMEs. Explanatory research is a research method used in this study, by surveying respondents. The data sources in this research are primary and secondary. Primary data is collected from respondents directly through a questionnaire whereas secondary data are obtained from references that are relevant to research problems. In conformity with this explanation, the type of research data is quantitative data. The results of this research show that: innovative culture has an effect on individual performance, quality of work life affects individual performance, innovative culture has an effect on competitive advantage, quality of work life affects competitive advantage, individual performance has an effect on competitive advantage, innovative culture affects competitive advantage with the mediation of individual performance, and quality of work life affects competitive advantage with the mediation of individual performance.