• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
• /
• 2003.05a
• /
• pp.225-230
• /
• 2003

Many port states such as New Zealand, the USA, Australia and Canada have strict regulations to prevent ships which arrive in their port from discharging polluted ballast water which contain harmful aquatic organisms and pathogens. They are notified that transfer of polluted ballast water can cause serious injury to public health and damage to property and environment. For this reason, they perceived that the ballast exchange in deep sea is the most effective method, together with submitting the ballast management plan which contains the effective exchange method, ballast system and safety consideration. In this study, we make an effort to develop optimum ballast water exchange management and in result of that, it provide more convenient and stable process for preparing ballast water management plan.

• Food Science and Industry
• /
• v.52 no.1
• /
• pp.20-31
• /
• 2019

Sensory perception of food/beverage products is one of the most important quality factors to determine consumer acceptability and thus sensory discrimination methodology has been a vital tool for quality management. Signal detection theory(SDT) and Thurstonian modeling provide the most advanced psychometric approach to modeling various discrimination methods. In these theories, perceptual and cognitive decisional factors are considered so that, a fundamental measure of sensory difference (d') can be computed, independent of test methods used. In this paper, sensory discrimination analysis based on SDT and Thurstonian modeling is introduced for more accurate and systematic applications of sensory and hedonic quality management in industry. Ways to realize the statistical power and relative sensitivity of sensory discrimination methods theorized in SDT and Thurstonian modeling in practice, are also discussed by using a case study of the Nongshim quality management program for drinking water in which SDT A-Not A test methodology was further optimized.

• Journal of KIBIM
• /
• v.10 no.3
• /
• pp.12-21
• /
• 2020

From the perspective of the client, the value of information for use in facility management is very low at the point of use. This is because the facility owner, who is a non-professional, cannot accurately request necessary information from the perspective of long-term facility life cycle management. The purpose of this study is to define the information necessary for facility management and to analyze the project operation method to procur this information to the client using BIM. To this end, this study analyzed the role of client and contractor, project delivery process, standards, and submissions in the BIM-based procurement area through USACE Air Force Hospital project case analysis. As a result of the analysis, if the client, who is the subject of facility operation, defines in advance the type and input method of necessary information in the operation stage, the client can receive the BIM optimized for operation from the contractor. The results of this study can be used to establish standards for receiving information necessary for establishment of procurement process and facility management of public institutions considering BIM introduction.

• Biomedical Science Letters
• /
• v.26 no.4
• /
• pp.296-301
• /
• 2020

The purpose of this study was performed to evaluate antioxidant activity of the Artemisia asiatica Nakai and Moringa oleifera Lam mixture extract. Mixture extracts were manufactured by concentration and compared with a single extract (only the Artemisia asiatica Nakai mixture and only the Moringa oleifera Lam mixture). The experiments conducted Total polyphenol measurements, Total flavonoid measurements, DPPH radical scavenging activty, ABTS radical scavenging activty and LDH assay. The LDH assay assessment shows that all extracts are cells compared to controls. The toxicity was weak. Finally, The antioxidant capacity was rated higher than mixture extract of a single extract. Also, the optimized mixture was determined AM5 (Artemisia asiatica Nakai mixture: Moringa oleifera Lam mixture = 3:1). For extracts of AM5, Total phenol and flavonoid contents were 271.769±18.087 mg/g and 45.384±5.026 mg/g. and DPPH and ABTS scavenging activity were 70.8±6.496% and 77.1±9.634%. Therefore, it is expected that the value of the extract will increase as it increases its antioxidant activity if it is manufactured according to the appropriate ratio.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.10
• /
• pp.229-237
• /
• 2010

Recently, forest management objectives become more complex and complicated, and spatial constraints were necessarily considered for ecological stability. Now forest planning is required to provide an optimized solution that is able to achieve a number of management objectives and constraints. In this study, we developed a decision supporting system based on the one of dynamic planning techniques, Tabu Search (TS) heuristic algorithm, which enable one to generate an optimized solution for given objectives and constraints. For this purpose, we analyzed the logical flow of the algorithm and designed the subsequence of processes. To develop a high-performance computing system, we examined a number of strategy to minimize execution time and workloads in each process and to maximize efficiency of using system resources. We examined two model based on the original TS algorithm and revised version of TS algorithm and compared their performance in optimization process. The results showed high performance of the developed system in providing feasible solutions for several management objectives and constraints. Moreover, the revised version of TS algorithm was appeared to be more stable for providing results with minimum variation. The developed system is expected to use for developing forest management plans in Korea.

• Korean Journal of Construction Engineering and Management
• /
• v.24 no.3
• /
• pp.31-41
• /
• 2023

This study is a study to develop a configuration management methodology for efficient and systematic management in the event of configuration changes such as deformation, explosion, and remodeling of launch vehicle development test facilities, which are emerging as important national facilities in the era of full-scale space competition. Through the analysis of international standards for configuration management, a configuration management process framework to be applied to launch vehicle development test facilities is extracted, a survey was conducted on experts who performed life cycle engineering of launch vehicle development test facilities, and a configuration management methodology optimized for operation/management of domestic launch vehicle development test facilities was proposed. Identify the configuration for launch vehicle development test facilities, the configuration management manager, configuration management organization, and configuration management board approve/process the configuration changes, and after construction is completed according to design requirements, launch vehicle development test facilities try to manage the configuration in a controlled state.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.37 no.4
• /
• pp.350-358
• /
• 2009

This paper describes a result of the guidance and control for re-entry vehicle during TAEM phase. TAEM phase (Terminal Aerial Energy Management phase) has many conditions, such as density, velocity, and so on. Under these conditions, we have optimized trajectory and other states for guidance in TAEM phase. The optimized states consist of 7 variables, down-range, cross range, altitude, velocity, flight path angle, vehicle's azimuth and flight range. We obtained the optimized reference trajectory by DIDO tool, and used feedback linearization with neural network for control re-entry vehicle. By back propagation algorithm, vehicle dynamics is approximated to real one. New command can be decided using the approximated dynamics, delayed command input and plant output, NARMA-L2. The result by this control law shows a good performance of tracking onto the reference trajectory.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.12 no.1
• /
• pp.99-107
• /
• 2008

Recently route guiding system using GPS is spread widely. In the parking management system of complex mall, RFID is mainly used to control status of parking lots. However, in a case that a vehicle only with RFID tag enters into small market-populated district with service of parking lots, there is no parking route guiding system optimized with information of real tine status of parking lots and the system only with GPS can't provide a function of using real time status of parking lots. This paper proposes a location recognizing method of RFID tag object for parking control system to integrated several parking lots in the business district and database-linked route guiding system optimized for parking. The proposed location recognizing method makes the search of optimized parking route possible by abstracting decoding order of tag and antenna number and recognizing direction of tag linked with database. Ihe implemented system that is composed of RFID tag, reader, middleware, server, parking lot clients and mobile clients shows that the proposed method works well and it will be useful for integrated parking control system.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.11
• /
• pp.3544-3564
• /
• 2022

With the development of the NB-IoT (Narrow band Internet of Things) and smart cities, coupled with the emergence of smart smoke sensors, new requirements and issues have been introduced to study on the deployment of sensors in large spaces. Previous research mainly focuses on the optimization of wireless sensors in some monitoring environments, including three-dimensional terrain or underwater space. There are relatively few studies on the optimization deployment problem of smart smoke sensors, and leaving large spaces with obstacles such as libraries out of consideration. This paper mainly studies the deployment issue of smart smoke sensors in large spaces by considering the fire probability of fire areas and the obstacles in a monitoring area. To cope with the problems of coverage blind areas and coverage redundancy when sensors are deployed randomly in large spaces, we proposed an optimized deployment strategy of smart smoke sensors based on the PSO (Particle Swarm Optimization) algorithm. The deployment problem is transformed into a multi-objective optimization problem with many constraints of fire probability and barriers, while minimizing the deployment cost and maximizing the coverage accuracy. In this regard, we describe the structure model in large space and a coverage model firstly, then a mathematical model containing two objective functions is established. Finally, a deployment strategy based on PSO algorithm is designed, and the performance of the deployment strategy is verified by a number of simulation experiments. The obtained experimental and numerical results demonstrates that our proposed strategy can obtain better performance than uniform deployment strategies in terms of all the objectives concerned, further demonstrates the effectiveness of our strategy. Additionally, the strategy we proposed also provides theoretical guidance and a practical basis for fire emergency management and other departments to better deploy smart smoke sensors in a large space.

• The Transactions of the Korea Information Processing Society
• /
• v.2 no.4
• /
• pp.443-452
• /
• 1995

Object-oriented database systems have been proposed as an effective solution for providing the data management facilities of complex applications. Proving this claim and the investigation of related issues such as query processing have been hampered by the absence of a formal object-oriented query model. In this paper, we not only define a query model based on aggregation inheritance but also develop semantic rewriting rules which are applied to equivalence preserving rewrite rules in algebraic expression of a query. Analyzing semantically the query model, the query model can be optimized to logically object-oriented query processing. And algebra expresstions of a query can be optimized by applying equivalence preserving rewrite rules.