• Journal of Engineering Education Research
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• v.26 no.2
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• pp.3-22
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• 2023

The purpose of universities is diversifying, such as education and research for the transfer of knowledge and technology, and training talented people with the competencies required in industrial sites. Therefore, universities are attempting various forms of industry-academic cooperation to maintain organic relations with companies and to conduct research activities, technology sharing, technology development, technology transfer, and human resources training. In particular, in the field of engineering education, various industry-academic cooperation programs such as field training, interns, and start-up support are actively developed and operated. Accordingly, the Engineering Education Innovation Research Information Center developed an online industry-academic cooperation capstone design matching platform for engineering education to enable collaboration between universities and companies nationwide. The industry-academic cooperation matching platform was developed under the theme of capstone design. Capstone design is a project-oriented and problem-based learning method that combines the knowledge and experiences acquired by the undergraduate department and designs and produces them. The subject of the Capstone design project was to solve corporate difficulties and allow companies and universities to collaborate. This study developed an online industry-academic cooperation capstone design matching platform according to analysis, design, development, evaluation, and execution procedures. This study is meaningful in that it has developed a channel through which students and companies, who are the subjects of industry-academic cooperation, can carry out projects and communicate organically through an online matching platform.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.305-308
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• 2002

This paper proposes a control board that includes PNP function with extensibility and effective allocation of allocation. The object of study is to overcome limited extensity of old systems and it is to reuse the system. The system recognizes automatic subsystem from application of main system with board level that is using hardware and software co-design method. The system has both function of main-board and sub-board. So one system can operate simultaneously such as module of alien system. This system has advantages that are fast execution, according as process functional partition to hardware/ software co-design and board size is reduced as well as offer extensity of development system. We obtained good result with control board for existent Z-80 training kit.

• Journal of Korean Institute of Industrial Engineers
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• v.32 no.4
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• pp.279-290
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• 2006

This paper proposes a model to assess the maturity level of Six Sigma activities. We classify the maturity level into 5 stages: initial, forming, storming, performing and mature stage. To evaluate the maturity level, 10 categories of Six Sigma with 3 factors each are identified: management leadership, belt system, expert training, establishing execution system, compensation, organization, corporate culture, customer focus, project selection, and management of project results. Scoring 277 items in total, the value of each factor is evaluated by weighted average of those items. Maturity level is appraised by rating the sum of scores of 10 categories that are obtained by summing up the values of its 3 factors. Values of weights and criteria of rating maturity levels are determined by analyzing 90 companies and Six Sigma exper's opinion. This study also shows the actual appraisal results of some companies.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2005.05a
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• pp.9-13
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• 2005

A comprehension-based computational model of pilot action planning called ADAPT is presented to model pilot performance in a flight simulation context. Individual pilots were asked to execute a series of flight maneuvers using a flight simulator, and their eye-scanning, control movements, and flight performance were recorded in a time-synched database. Computational models of each of the 25 individual pilots were constructed, and the individual models simulated execution of the same flight maneuvers performed by human pilots. The time-synched eye-scanning, control movements, and flight performance of individual pilots and their respective models were compared to test ADAPT's predictive validity.

• IE interfaces
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• v.17 no.4
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• pp.490-498
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• 2004

This paper reports results of a recent survey of 184 Information Technology (IT) development practitioners and 90 User Interface (UI)/usability practitioners. This survey covered a broad range of issues including the respondents' profile, current development environment, usability and user-centered design (UCD) adoption issues in IT development practice, overall assessment of usability/UCD, and the most widely used usability/UCD methods and techniques. The results of this study are expected to provide an empirical basis for usability and UCD planning, training, adoption and execution in IT industry.

• 레미콘
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• no.7 s.68
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• pp.9-16
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• 2001

Execution of exposed concrete has some problems such as segregation, surface honey comb and insufficient surface flossing due to unsuitable mix proportion and unfavorable construction in our field. Therefore, in this paper, field application of exposed concrete at training center building of Chongju university in Daecheon are carried out based on the mixing data obtained from laboratory test. Base concrete are made in accordance with mixing data. Segregation reducing type superplasticizer developed are applied in order to flow the vase concrete with out segregation of materials. According to test results, air content shows to be reduced after flowing. Compressive strength of flowing concrete is higher than that of base concrete about 7%. Surface glossing is reducing as the age goes on. It is improved about 10% compared to that of vase concrete.

• Korea Journal of Hospital Management
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• v.14 no.2
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• pp.75-98
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• 2009

As the organizational environments are changing, organizational innovation has become a critical success factor for the healthcare organizations. Although there are lots of successful innovation cases in other industries, healthcare organization's management innovation cases are rare in Korea. This case study is focused on successful change process of a Maeumsarang psychiatric hospital. Main findings are: (a) virtuous cycle of healthcare service innovation and organizational innovation, (b) intensive training and learning, (c) usage of external resources, (d) high commitment HRM system, (e) CEO leadership, and (f) synchronization of planning and execution. Based on these findings, managerial implications are derived and future research directions are proposed.

• Journal of the Korea Safety Management & Science
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• v.19 no.1
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• pp.87-94
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• 2017

In construction work, safety accidents often occur in combination with unstable physical and human conditions during preparation and execution of work. In Korea, the accident rate is higher to that of any country in the world. Therefore, it is necessary to take measures by fundamental prescription. In this paper, in the case of construction safety management, we tried to find a reasonable alternative through a questionnaire survey to apply to subcontracting and small-scale construction. In conclusion, workers who are well aware of the task could be able to reduce the accident rate by deploying them as safety management officers after receiving the training.

• Journal of Electrical Engineering and Technology
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• v.13 no.1
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• pp.485-492
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• 2018

In this paper, we propose facial expression recognition using CNN (Convolutional Neural Network), one of the deep learning technologies. The proposed structure has general classification performance for any environment or subject. For this purpose, we collect a variety of databases and organize the database into six expression classes such as 'expressionless', 'happy', 'sad', 'angry', 'surprised' and 'disgusted'. Pre-processing and data augmentation techniques are applied to improve training efficiency and classification performance. In the existing CNN structure, the optimal structure that best expresses the features of six facial expressions is found by adjusting the number of feature maps of the convolutional layer and the number of nodes of fully-connected layer. The experimental results show good classification performance compared to the state-of-the-arts in experiments of the cross validation and the cross database. Also, compared to other conventional models, it is confirmed that the proposed structure is superior in classification performance with less execution time.

• Journal of information and communication convergence engineering
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• v.16 no.4
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• pp.264-270
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• 2018

In our research study, we aim at optimizing multiple load in cloud, effective resource allocation and lesser response time for the job assigned. Using Hadoop on datacenter is the best and most efficient analytical service for any corporates. To provide effective and reliable performance analytical computing interface to the client, various cloud service providers host Hadoop clusters. The previous works done by many scholars were aimed at execution of workflows on Hadoop platform which also minimizes the cost of virtual machines and other computing resources. Earlier stochastic hill climbing technique was applied for single parameter and now we are working to optimize multiple parameters in the cloud data centers with proposed heuristic hill climbing. As many users try to priorities their job simultaneously in the cluster, resource optimized workflow scheduling technique should be very reliable to complete the task assigned before the deadlines and also to optimize the usage of the resources in cloud.