• Journal of Families and Better Life
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• v.30 no.5
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• pp.1-15
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• 2012

The purpose of this study is various discussion and alternatives focusing on integration of center for enhancing family policy delivery system and family support service the long term. The subject is managers who work at Healthy Family Support centers and Multicultural Family Centers. And they are responded non-structural questionnaire. The results were follows: First, 82.4% respondents of healthy support center and 50% respondents were in favor of integration. Second, reason of integration are conformance for social integration, the efficiency of center operations, the adequacy of program for various family, doing program with the goal of both centers of the similarity, complementary, and user convenience, prevent duplication and missing of services and so on, If the amount charged against the project of the center dissimilarity of institutions, including the operating direction was different. Third, the Center for the meaning of integration are name, organization, reorganization or consolidation of functions, was regarded as entrusted to corporate consolidation. Fourth, the consolidation that occurs during problem solving to ensure the succession of budgeting and human resources and program alternative for dressing up, commissioning center was the difference as problem solving.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.266-273
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• 2005

Data mining techniques enable us to generate useful information for decision support from the data sources which are generated and accumulated in the process of routine organizational management activities. College administration system is a typical example that produces a warehouse of student records as each and every student enters a college and undertakes the curricular and extracurricular activities. So far, these data have been utilized to a very limited student service purposes, such as issuance of transcripts, graduation evaluation, GPA calculation, etc. In this paper, we utilize Holland career search test results, TOEIC score, course work list, and GPA score as the input for data mining and generation the student advisory information. Factor analysis, AHP(Analytic Hierarchy Process), artificial neural net, and CART(Classification And Regression Tree) techniques are deployed in the data mining process. Since these data mining techniques are very powerful in processing and discovering useful knowledge and information from large scale student databases, we can expect a highly sophisticated student advisory knowledge and services which may not be obtained with the human student advice experts.

• Journal of Korea Technology Innovation Society
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• v.12 no.1
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• pp.36-69
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• 2009

This work aims to firstly know what does the inside and outside participants perceive the system itself and its execution in the evaluation of the research institutes in science and technology sector which has been introduced in 1999, and to secondly discuss how can diverse perceptions among participants be integrated in the institutional and operational aspects. This has been conducted mainly by in-depth interviews with 99 staffs from 10 research institutes under the Korea Research Council for Public Technology as well as with 10 members of evaluation committee for research institutes. According to the in-depth interviews, the both inside and outside participants perceive that the evaluation of research institutes can be necessary and useful for the management of the institute itself and R&D programs in view of the strategic reasons as well as practical one. Despite of the affirmative perceptions to the evaluation of research institute, based on the common or individual experiences, they have also suggested that there will be lots of improvements in the individual components of evaluation system and its current status of execution.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.596-597
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• 2016

Recently a variety of companies as the growing importance of big data are in the process of research and development for large-scale data collection and management. In addition, a situation that collects all necessary data inside and outside the enterprise to improve the manufacturing environment and the service environment. In this paper, we collect to ingest the mouth-time work for companies within the temple. Also, in conjunction with the NFC tag of the smart phone and employee information stored in the database. Utilizing this determines whether or not the employee attendance and the authority to automatically access to the database or resource within the enterprise. The proposed system is considered to be able to increase the accessibility and efficiency of a database or a resource in the enterprise.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.451-456
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• 2019

Our students are shocked by the results that there is an inverse proportion between academic achievement and life satisfaction. Recently, the Organization for Economic Cooperation and Development (OECD) published the PISA 2015 Student Well-Being Report. According to the report, Korean students' education is the highest among OECD countries, but their life satisfaction is the 47th ranked among the 48 OECD and non-OECD countries.[1] This is the cause of the unilateral education using collective achievement in evaluation methods. Therefore, I propose a personalized integrated model utilizing block chain technology. I suggest a personalized education and evaluation system model using selective education and personal approval rather than from teachers' unilateral education. This will no longer open the student's achievement grade system to the public. This change will be accomplished utilizing block chain technology. This technology is characterized by security, transparency and dispersion. The result of this work can be used to improve students' quality of living through a management system of personalized education and evaluation, based on the nature of education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.3
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• pp.433-439
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• 2021

In this paper, we propose a method to implement an IoT-based sensor network for each workplace of a shipyard. Here, at the most common welding workplace in shipyards, the shipbuilding blocks are used as a communication medium to transmit information such as the worker's location, welding progress, and working hour to a server using LoRa and powerline communication. To achieve the data communication, inductive couplers and hybrid modems have been manufactured and installed on wire feeders and pin jigs to establish a sensor network. As a result of field test, the proposed system shows a success rate of data transmission and a rate of successful recognition of worker's location of about 98% or more. In addition, the process management system platform can record and display the work process data generated at the field in real time. The proposed system can be a starting point for enhancing the competitiveness of Korean shipbuilding industry through the establishment of a smart shipyard.

• Advances in concrete construction
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• v.13 no.5
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• pp.385-394
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• 2022

Recently, an increasing number of cutting-edged studies have shown that designing a smart active control for real-time implementation requires piles of hard-work criteria in the design process, including performance controllers to reduce the tracking errors and tolerance to external interference and measure system disturbed perturbations. This article proposes an effective artificial-intelligence method using these rigorous criteria, which can be translated into general control plants for the management of civil engineering installations. To facilitate the calculation, an efficient solution process based on linear matrix (LMI) inequality has been introduced to verify the relevance of the proposed method, and extensive simulators have been carried out for the numerical constructive model in the seismic stimulation of the active rigidity. Additionally, a fuzzy model of the neural network based system (NN) is developed using an interconnected method for LDI (linear differential) representation determined for arbitrary dynamics. This expression is constructed with a nonlinear sector which converts the nonlinear model into a multiple linear deformation of the linear model and a new state sufficient to guarantee the asymptomatic stability of the Lyapunov function of the linear matrix inequality. In the control design, we incorporated H Infinity optimized development algorithm and performance analysis stability. Finally, there is a numerical practical example with simulations to show the results. The implication results in the RMS response with as well as without tuned mass damper (TMD) of the benchmark building under the external excitation, the El-Centro Earthquake, in which it also showed the simulation using evolved bat algorithmic LMI fuzzy controllers in term of RMS in acceleration and displacement of the building.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.1
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• pp.65-73
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• 2019

In order to increase the production efficiency of the ship and shorten the production cycle, it is important to evaluate the accuracy of the ship components efficiently during the drying cycle. The accuracy control of the block is important for shortening the ship process, reducing the cost, and improving the accuracy of the ship. Some systems have been developed and used mainly in large shipyards, but in some cases, they are measured and managed using conventional measuring instruments such as tape measure and beam, optical instruments as optical equipment, In order to perform accuracy control, these tools and equipment as well as equipment for recording measurement data and paper drawings for measuring the measurement position are inevitably combined. The measured results are managed by the accuracy control system through manual input or recording device. In this case, the measurement result is influenced by the work environment and the skill level of the worker. Also, in the measurement result management side, there are a human error about the lack of the measurement result creation, the lack of the management sheet management, And costs are lost in terms of efficiency due to consumption. The purpose of this study is to improve the working environment in the existing accuracy management process by using the augmented reality technology to visualize the measurement information on the actual block and to obtain the measurement information And a smart management system based on augmented reality that can effectively manage the accuracy management data through interworking with measurement equipment. We confirmed the applicability of the proposed system to the accuracy control through the prototype implementation.

• Korean Journal of Construction Engineering and Management
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• v.21 no.2
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• pp.3-14
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• 2020

This study reviews and comparatively analyzes existing classification systems for 3D concrete printers to propose a classification system for 3D concrete printers. Several classifications for existing 3D printers have been proposed and used in the market. Nevertheless, quite a few of the printer types such as fused deposition modeling (FDM) and selective laser melting (SLM) are not suitable for characterizing 3D concrete printers. To derive the properties that distinguish one 3D concrete printer type from the others, this study reviews existing 3D concrete printers and comparatively analyzes the properties of 3D concrete printers identified in previous studies. The results show that existing classifications do not reflect the states-of-the-art of 3D concrete printers, the classification terms are ambiguous, and the entire printing processes are not considered. A new classification system was proposed based on the essential properties of the 3D concrete printers identified through the analysis of related work. The result of this study can be used as a basis for classifying commercial 3D concrete printers as well as studies related to 3D concrete printers.

• Culinary science and hospitality research
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• v.21 no.3
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• pp.155-167
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• 2015

This study aims to examine the knowledge level of culinary staff members regarding the restaurant country- oforigin labeling system by developing a scale to investigate and evaluate such knowledge levels. The empirical study targeted culinary staff members with over 7 years of experience in 10 luxury hotels in Seoul who were approached through the convenience sampling method, which was conducted for 14 days from November 14th to 27th, 2014. A total of 192 self-administered questionnaires were collected, of which 186 questionnaires(93%) were used for the final analysis. For investigation and analysis, a frequency analysis was carried out to look into population statistics and the level of knowledge using the SPSS 18.0 statistics program. One-way ANOVA and t-test were carried out to investigate differences in knowledge levels of restaurant country-of-origin labeling system with reference to academic background, job position, and hotel management type. As the result, the average correct answer rate of the culinary staff members for a total of 21 questions was 39.85% and there were no significant differences based on the academic background. However, the correct answer rate was higher for respondents that held high positions and had independently managed hotels, suggesting that knowledge varied depending on job position and management type. In conclusion, it is suggested that in order to improve the level of knowledge of the restaurant country-of-origin labeling system among culinary staff members there is a need to enhance training and continuous supervision to apply the knowledge to work in future. In addition to this, this study discussed the limits of the study and the orientation of further research.