• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.1
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• pp.78-101
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• 2017

High-quality industrial control is critical to ensuring production quality, reducing production costs, improving management levels and stabilizing equipment and long-term operations. WiFi-based Long Distance (WiLD) networks have been used as remote industrial control networks. Real-time performance is essential to industrial control. However, the original mechanism of WiLD networks does not minimize end-to-end delay and restricts improvement of real-time performance. In this paper, we propose two algorithms to obtain the transmitting/receiving phase cycle length for each node such that real time constraints can be satisfied and phase switching overhead can be minimized. The first algorithm is based on the branch and bound method, which identifies an optimal solution. The second is a fast heuristic algorithm. The experimental results show that the execution time of the algorithm based on branch and bound is less than that of the heuristic algorithm when the network is complex and that the performance of the heuristic algorithm is close to the optimal solution.

• Korean Journal of Childcare and Education
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• v.17 no.5
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• pp.105-128
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• 2021

Objective: This study aimed to explore the experience and meaning of pre-service early childhood teachers who practiced health promoting activities for themselves. Methods: Research participants were 115 pre-service early childhood teachers enrolled in the health education for children course at one college in G region. The reports of activity records of their eight-week long health promotion activities were collected as qualitative data followed by content analysis being implemented. Results: First, the experience of the health promoting activities the participants took part in was categorized into 'Early phase of experience: A mix of worries and anticipation, and success and failure', 'Mid phase of experience: Being motivated by physical changes and records', and 'Late phase of experience: Continuous execution through habituation.' Second, the meaning of health promotion activities the participants took part in was categorized into 'A great opportunity for introspection', 'A meaningful start of college life', and 'A valuable chance to consider desirable roles of a teacher for early childhood health education.' Conclusion/Implications: The results of this study suggest that pre-service early childhood teachers should pay close attention to their health management, and that contents that emphasize the importance of teachers' health should be included in health education.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.220-228
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• 2022

Image always carry useful information, detecting a text from scene images is imperative. The proposed work's purpose is to recognize scene text image, example boarding image kept on highways. Scene text detection on highways boarding's plays a vital role in road safety measures. At initial stage applying preprocessing techniques to the image is to sharpen and improve the features exist in the image. Likely, morphological operator were applied on images to remove the close gaps exists between objects. Here we proposed a two phase algorithm for extracting and recognizing text from scene images. In phase I text from scenery image is extracted by applying various image preprocessing techniques like blurring, erosion, tophat followed by applying thresholding, morphological gradient and by fixing kernel sizes, then canny edge detector is applied to detect the text contained in the scene images. In phase II text from scenery image recognized using MSER (Maximally Stable Extremal Region) and OCR; Proposed work aimed to detect the text contained in the scenery images from popular dataset repositories SVT, ICDAR 2003, MSRA-TD 500; these images were captured at various illumination and angles. Proposed algorithm produces higher accuracy in minimal execution time compared with state-of-the-art methodologies.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.29-39
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• 2011

In Korea, many mixed-used development projects(MXD) in mega project size are currently active. As these mega projects require long-term construction and execution and involve by different subjects in different fields, their completion breeds various problems, such as conflicts among project participants due to their complicated interest relationships and inaccuracy in predicting the economic performance of the projects due to inappropriate facility capacity planning. To solve these problems, it is essential to apply value engineering (VE) at the planning phase of the project, which can result in the best possible cost reduction and improvement of project performance. However, not many projects are actually implementing VE because of the lack of available information, as well as the limitations due to uncertainty in the early period of project execution. Therefore, this study aimed at proposing VE Team Building, Quality Model Performance Indexes, Space Model so as to resolve common mega project problems and overcome VE application limitations at planning stage. The result of this study is expected that the data can be utilized as basic data to apply VE at the planning phase of the large complex projects.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.3
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• pp.116-126
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• 2015

In a distributed heterogeneous computing system, the performance of a parallel application greatly depends on its task scheduling algorithm. Therefore, in order to improve the performance, it is essential to consider some factors that can have effect on the performance of the parallel application in a given environment. One of the most important factors that affects the total execution time is a critical path. In this paper, we propose the CLTS algorithm for a task scheduling. The CLTS sets the priorities of all nodes to improve overall performance by applying leveling method to improve parallelism of task execution and by reducing the delay caused by waiting for execution of critical nodes in priority phase. After that, it conditionally uses insertion based policy or duplication based policy in processor allocation phase to reduce total schedule time. To evaluate the performance of the CLTS, we compared the CLTS with the DCPD and the HCPFD in our simulation. The results of the simulations show that the CLTS is better than the HCPFD by 7.29% and the DCPD by 8.93%. with respect to the average SLR, and also better than the HCPFD by 9.21% and the DCPD by 7.66% with respect to the average speedup.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.23 no.3
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• pp.410-413
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• 2012

This study describes the performance comparison to solve angle ambiguity needed to angle of arrival estimation in 2D radiometer. There are three algorithms to solve its ambiguity such as phase-comparison monopulse method, digital beam-forming method and least square error of the phase difference in 2D radar interferometer. To estimate two direction angles, phase-comparison monopulse method is sequentially applied to azimuth and elevation direction. To analyze the performance of these methods, probability of solving angle ambiguity and execution time have been chosen as performance indexes. Through the Monte Carlo simulation, we have verified that phase-comparison monopulse method is most effective in real-time signal processing application.

• Journal of the Korean Society of Systems Engineering
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• v.14 no.1
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• pp.72-82
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• 2018

Generally speaking, because of complexity of engineering process, the systems engineering may be not easy to understand clearly and not easy to perform also. The status of systems engineering infrastructure of the some Korean industry is not matured yet, i.e., the systems engineering process, method, tool and environment is not implemented consistently within the steel making industry. These difficulties are more severe at the concept and basic design phase than the detail design phase relatively. Korean industry has lots of development project for the precedented systems and usually has matured domain knowledge for the precedented systems. Even though there is a mature domain knowledge of the precedented systems, the development project will lead to failure under the condition of engineering system is not well equipped. For the project success, it is very important to have a proper engineering execution system especially for the concept design and basic phase, which has a high abstraction and a large influence on the whole project. This paper proposes a minimized design process that can be easily applied to the concept and basic design phase of the precedented systems, instead of complex system engineering processes. This paper also proposes the application case of the minimized design process and methods for a Blast Furnace System.

• Korean Journal of Construction Engineering and Management
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• v.21 no.2
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• pp.79-87
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• 2020

The Korean domestic construction management at risk (CMAR) market is in the process of completing the pilot project execution under the leadership of the Ministry of Land, Infrastructure and Transport as of December 2019. The government starts practicing CMAR an alternative delivery method widely in order to diversify delivery methods and enhance construction technology. The CMAR market is thus expected to grow. This study was conducted to improve CMAR firms' capability by developing self-assessment tools for them to evaluate current capability more effectively. As a result of defining standard core capability and additional elements categorized by project execution phase and management area, and performing evaluation from the CMAR project participants, it was found that the general project management capability in the pre-design and procurement phase and quality management area was lower compared to the construction phase and other areas. In addition, the capability of cost management area was lower in spite of its high importance. Communication and coordination, process optimization, and target values achievement were at the initial level of capability and continuous improvement was required.

• Korean Journal of Construction Engineering and Management
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• v.14 no.6
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• pp.90-101
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• 2013

A typical construction project involves participation of various parties including clients, contractors, architects, and engineers for its successful completion, and yet has intrinsic differences of interests among the participants during the project execution period. A construction management (CM) services's role is then to resolve these differences of interests among the participants during the project execution, and lead the projects to its successful completion while representing the clients' demands and interests. The use of building information modeling (BIM) is increasing recently among construction projects, and those CM service companies are experiencing difficulties applying BIM. This is because the use of BIM in construction projects suggests a quite new set of operational paradigm. The purpose of this paper is then to review the recent cases of projects which used BIM; to analyze the these projects' processes; to reengineer the design phase process based on the lessons learned from recent BIM application; and to suggest a modified design phase process model that could improve the use of BIM and related coordination operations.

• Journal of Intelligence and Information Systems
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• v.14 no.3
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• pp.59-76
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• 2008

In this paper, we propose an agent architecture called L-CAA that is quite effective in real-time dynamic environments. L-CAA is an extension of CAA, the behavior-based agent architecture which was also developed by our research group. In order to improve adaptability to the changing environment, it is extended by adding reinforcement learning capability. To obtain stable performance, however, behavior selection and execution in the L-CAA architecture do not entirely rely on learning. In L-CAA, learning is utilized merely as a complimentary means for behavior selection and execution. Behavior selection mechanism in this architecture consists of two phases. In the first phase, the behaviors are extracted from the behavior library by checking the user-defined applicable conditions and utility of each behavior. If multiple behaviors are extracted in the first phase, the single behavior is selected to execute in the help of reinforcement learning in the second phase. That is, the behavior with the highest expected reward is selected by comparing Q values of individual behaviors updated through reinforcement learning. L-CAA can monitor the maintainable conditions of the executing behavior and stop immediately the behavior when some of the conditions fail due to dynamic change of the environment. Additionally, L-CAA can suspend and then resume the current behavior whenever it encounters a higher utility behavior. In order to analyze effectiveness of the L-CAA architecture, we implement an L-CAA-enabled agent autonomously playing in an Unreal Tournament game that is a well-known dynamic virtual environment, and then conduct several experiments using it.