• Journal of the Korea Concrete Institute
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• v.25 no.4
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• pp.411-418
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• 2013

Recently, in order to reduce a damage of chloride attack and hydration heat in marine concrete structures, blended cement in mixing the marine concrete is widely used. Long term strength development is distinct in concrete with blended cement and it also has excellent resistance to chloride attack and reduction of hydration heat. However, blended cement has a characteristic of relatively low compressive strength in early age of 28 days. On the other hand, a high level of compressive strength is required in the Standard Specification for marine concrete mix design. Such concrete mix design satisfying Standard Specification is effective to chloride attack but disadvantageous for hydration heat reduction due to large quantity of binder. In this study, the material properties of marine concrete considering water-binder ratio and binder type are experimentally investigated. Through the research results, compressive strength in blended cement at the age of 56 days is similar although it has smaller compressive strength at the age of 28 days compared with result of OPC (ordinary portland cement). Even though blended cement has a large water-binder ratio and small unit of binder content, chloride ion diffusion coefficient is still small and hydration heat is also found to be reduced. For meeting the required compressive strength in Standard Specification for marine concrete at 28 days, the increased unit content of binder is needed but the increased hydration heat is also expected.

• Journal of the Korea Concrete Institute
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• v.24 no.6
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• pp.651-658
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• 2012

This paper concentrates on the evaluation of microcracks in thermal damaged concrete on the basis of the nonlinear ultrasonic modulation technique. Since concrete structure exposed to high temperature accompanies the development of microcracks due to the physical and chemical changes from temperature and exposed time, the adoption of nonlinear approach is required. Instead of using the conventional ultrasonic nondestructive methods which have the limitation in evaluating excessive microcracks, accordingly, a nonlinear ultrasonic modulation method which shows better sensitivity in quantifying microcracks is introduced. Upon the analysis for the modulation of ultrasonic wave and low frequency impact to measure the nonlinearity parameter, which can be used as an indicator of thermal damage, the verification processes for the introduced technique are followed: SEM investigation and permeable pore space test are performed to characterize thermally induced microcracks in concrete, and ultrasonic pulse velocity tests are performed to confirm the outstanding sensitivity of nonlinear ultrasonic modulation technique. In advance, compressive strength of thermal damaged concrete is measured to represent the effect of microcracks on performance degradation. Correlation studies between experimental data and measured data show that nonlinear ultrasonic modulation technique can effectively be used to quantify thermally induced microcracks, and to estimate the compressive strength of thermally damaged concrete.

• 한국신재생에너지학회:학술대회논문집
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• 2010.06a
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• pp.224.2-224.2
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• 2010

연료개질기는 연료전지 시스템의 핵심 구성요소 중의 하나로 도시가스로부터 수소를 생산하는 역할을 담당한다. 연료개질기는 주로 탈황, 수증기 개질, 수성가스 전이, 선택적 산화 반응의 4단계로 구성되어 있으며 이 중 상온 탈황부분을 제외한 나머지 부분은 일체화 설계를 통해 제작된다. 탈황의 경우 도시가스에 포함된 부취제인 황화합물를 제거하여 후단에 위치한 촉매층이 황에 의해 피독되는 것을 막는 역할을 하며 주로 상온흡착식 탈황제를 사용한다. 황이 제거된 도시가스는 물과 함께 연료개질기로 도입되어 수증기 개질반응을 통하여 수소, 일산화탄소, 이산화탄소 및 소량의 메탄과 미반응 수증기로 구성된 개질가스로 전환된다. 이후의 수성가스 전이반응에서는 일산화탄소가 물과 반응하여 수소 생산량을 늘리며 동시에 일산화탄소의 농도를 낮추게 된다. 또한 고분자 전해질 연료전지에 공급되는 개질가스는 선택적 산화반응을 통하여 일산화탄소의 농도를 10ppm이하로 유지하게 된다. 이러한 기능의 연료개질기 개발의 주요 이슈로는 컴팩트화 및 고효율화이며 이 두가지 요소를 고려하여 연료개질기를 설계하여야 한다. 연료전지 시스템의 전체부피를 줄이기 위한 노력의 일환으로 연료개질기의 컴팩트화가 요구되는데 가정용 연료전지 기술 선진국인 일본 제품의 경우 $1Nm^3/h$급 연료개질기의 부피는 20L정도로 알려져 있다. 또한 연료전지 시스템의 효율은 연료개질기의 개질효율과 연료전지 스택의 발전효율의 곱으로 계산되기 때문에 연료개질기의 연료개질 효율은 전체 시스템의 효율에 직접적으로 영향을 미치게 된다. 한국에너지기술연구원에서는 수소생산량 기준 $1Nm^3/h$급 연료개질기의 개발을 완료하였으며 크기 및 효율면에서 선진국 제품과 비교하여 동등 또는 우위의 수준을 달성하였다. 연료개질기 내부의 혼합 및 분배 구조를 개선하고 각 촉매층의 최적 배치를 통해 연료개질기의 부피를 최소화 하였으며 연료개질기 내부에서 고온부위와 저온부위 사이의 최적 열교환을 통해 열효율을 극대화 시켰다. 현재 개발된 $1Nm^3/h$급 개질기의 단열 후 부피는 13.5L 그리고 단독운전 시 열효율은 80%(LHV)로 측정되었다. 또한 $1Nm^3/h$급의 연료개질기의 스케일-업 설계를 통하여 수소생산량 3, $5Nm^3/h$ 규모의 연료개질기를 개발하였으며 성능평가가 진행 중이다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.163-169
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• 2020

Recently, research on automation and unmanned operation of machines in the industrial field has been conducted with the advent of AI, Big data, and the IoT, which are the core technologies of the Fourth Industrial Revolution. The machines for these automation processes are controlled based on the data collected from the sensors attached to them, and further, the processes are managed. Conventionally, the abnormalities of sensors are periodically checked and managed. However, due to various environmental factors and situations in the industrial field, there are cases where the inspection due to the failure is not missed or failures are not detected to prevent damage due to sensor failure. In addition, even if a failure occurs, it is not immediately detected, which worsens the process loss. Therefore, in order to prevent damage caused by such a sudden sensor failure, it is necessary to identify the failure of the sensor in an embedded system in real-time and to diagnose the failure and determine the type for a quick response. In this paper, a deep neural network-based fault diagnosis system is designed and implemented using Raspberry Pi to classify typical sensor fault types such as erratic fault, hard-over fault, spike fault, and stuck fault. In order to diagnose sensor failure, the network is constructed using Google's proposed Inverted residual block structure of MobilieNetV2. The proposed scheme reduces memory usage and improves the performance of the conventional CNN technique to classify sensor faults.

• Journal of the Korea Society for Simulation
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• v.29 no.1
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• pp.57-69
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• 2020

Many researchers have recommended that DBR scheduling would be an efficient method to maintain the balance of their workload among many processes in the general flow shop. However, as product variety has increased in recent years, the process has become more complex and requires the re-entrance of raw materials and work in process. The re-entrant line has known for the complex manufacturing process that raw materials are repeatedly processed on the same machine. This study reviews the applicability of DBR against the re-entrant manufacturing line due to the distinguishing characteristics and the higher complexity caused by multiple visits of a job into the identical process. In order to apply the DBR method to the re-entrant process, the main idea is to reconstruct re-entrant process into a virtual flow process(loop) that has a single bottleneck. This study discusses the following two questions. First, DBR is also superior to traditional scheduling methods against re-entrant manufacturing line. And how we structure and detect the system bottleneck (or sub-bottleneck) through drum-buffer-rope concepts. To answer the above questions, we experimented and analyzed the effects of the applicability of DBR under the general re-entrant process model(TRC, Technology Research Center). As a result, we have identified a balance between loops for cycle time and work in process.

• Journal of Korea Game Society
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• v.11 no.4
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• pp.15-26
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• 2011

Game level design is a collaborative work to create a virtual world for a computer game including maps, agents, monsters, objects, players and events based on predefined its game scenario. It is a promising collaborative design application. The game level design generally requires much time and cost, as the size of its target game space becomes huge. However, traditional game level design tools do not provide concurrency control mechanisms among multiple participating game designers. They do not provide consistency of undo and redo mechanisms for erroneous collaborative tasks during iterative modifications and updates of collaborative tasks among multiple designers. In this paper, we propose a concurrency control and a collaborative editing mechanism to enhance productivity of the collaborative game level design. The proposed system provides hierarchical structures of shared objects and a concurrency control mechanism for each object. The proposed system also provides a consistent undo and redo mechanism to enhance modifications and updates on intermediate results of the level design procedures.

• Journal of Intelligence and Information Systems
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• v.15 no.1
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• pp.123-140
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• 2009

Collaborative filtering recommends products using customers' preferences, so it cannot recommend products to the new customer who has no preference information. This paper proposes a novel approach to new customer recommendations using the social network analysis which is used to search relationships among social entities such as genetics network, traffic network, organization network, etc. The proposed recommendation method identifies customers most likely to be neighbors to the new customer using the centrality theory in social network analysis and recommends products those customers have liked in the past. The procedure of our method is divided into four phases : purchase similarity analysis, social network construction, centrality-based neighborhood formation, and recommendation generation. To evaluate the effectiveness of our approach, we have conducted several experiments using a data set from a department store in Korea. Our method was compared with the best-seller-based method that uses the best-seller list to generate recommendations for the new customer. The experimental results show that our approach significantly outperforms the best-seller-based method as measured by F1-measure.

• Journal of KIISE:Information Networking
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• v.34 no.1
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• pp.1-15
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• 2007

Increase in the wireless mobile network users brings the issue of mobility management into the Virtual Private Network (VPN) services. We propose a provider edge (PE)-based provider provisioned mobile VPN mechanism, which enables efficient communication between a mobile VPN user and one or more correspondents located in different VPN sites. The proposed mechanism not only reduces the IPSec tunnel overhead at the mobile user node to the minimum, but also enables the traffic to be delivered through optimized paths among the (mobile) VPN users without incurring significant extra IPSec tunnel overhead regardless of the user's locations. The proposed architecture and protocols are based on the BGP/MPLS VPN technology that is defined in RFC24547. A service provider platform entity named PPVPN Network Server (PNS) is defined in order to extend the BGP/MPLS VPN service to the mobile users. Compared to the user- and CE-based mobile VPN mechanisms, the proposed mechanism requires less overhead with respect to the IPSec tunnel management. The simulation results also show that it outperforms the existing mobile VPN mechanisms with respect to the handoff latency and/or the end-to-end packet delay.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.467-475
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• 2014

With the development of genomics, wearable device and IT/NT, a vast amount of bio-medical data are generated recently. Also, healthcare industries based on big-data are booming and big-data technology based on bio-medical data is rising rapidly as a core technology for improving the national health and aged society. A pathway is the biological deep knowledge that represents the relations of dynamics and interaction among proteins, genes and cells by a network. A pathway is wildly being used as an important part of a bio-medical big-data analysis. However, a pathway analysis requires a lot of time and effort because a pathway is very diverse and high volume. Also, multidimensional analysis systems for various pathways are nonexistent even now. In this paper, we proposed a pathway analysis system that collects user interest pathways from KEGG pathway database that supports the most widely used pathways, constructs a network based on a hierarchy structure of pathways and analyzes the relations of dynamics and interaction among pathways by clustering and selecting core pathways from the network. Finally, to verify the superiority of our pathway analysis system, we evaluate the performance of our system in various experiments.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.41 no.8
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• pp.632-638
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• 2013

This paper describes on the flame stability and combustion instability of coal derived synthetic gas especially for gases of Buggenum IGCC in Netherlands and Taean IGCC in Korea. These combustion characteristics were observed by conducting ambient-pressure elevated-temperature combustion tests in GE7EA model combustor when varying heat input and nitrogen dilution ratio. Flame stability map is plotted according to the flame structure by dividing all regimes into six, and only regime I and II are identified to be stable. Both syngases of Taean and Buggenum with nitrogen integration corresponds to regime II in which syngas burnt stably and flame coupled with outer recirculation flow. Stable regime of Buggenum is larger than that of Taean when considering only $H_2$/CO ratio due to higher content of hydrogen. However, when considering nitrogen dilution, syngas of Taean is burnt more stably than that of Buggenum since more nitrogen in Buggenum has negative effect on the stability of flame.