• Journal of the Korean Home Economics Association
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• v.33 no.1
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• pp.223-235
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• 1995

To know the physical housing needs for the small/medium size apartments at 'Harea' in Ulsan, we took account ① which plans they prefer in the small/medium size apartments of 2 or 3 rooms, ②how to link the inner spaces, ③which optional setups are require, ④which finishing material. furniture.color they want and ⑤ which community facilities are necessary, and analysed the factors influencing above five. The result is that the residents showed no regional distiction on the plan preference and the linkage of inner spaces, but required the double entrance doors, bathroom setups reallocated and residents' common facilities.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.4
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• pp.117-134
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• 2004

This study suggests a data driven optimization approach, which simulates the models of human learning processes from cognitive sciences. It shows how the human learning processes can be simulated and applied to solving combinatorial optimization problems. The main advantage of using this method is in applying it into problems, which are very difficult to simulate. 'Undecidable' problems are considered as best possible application areas for this suggested approach. The concept of an 'undecidable' problem is redefined. The learning models in human learning and decision-making related to combinatorial optimization in cognitive and neural sciences are designed, simulated, and implemented to solve an optimization problem. We call this approach 'SLO : simulated learning for optimization.' Two different versions of SLO have been designed: SLO with position & link matrix, and SLO with decomposition algorithm. The methods are tested for traveling salespersons problems to show how these approaches derive new solution empirically. The tests show that simulated learning for optimization produces new solutions with better performance empirically. Its performance, compared to other hill-climbing type methods, is relatively good.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.9
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• pp.263-272
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• 2023

Industrial Internet of Things (IIoT) is an important factor in increasing production efficiency in industrial sectors, along with data collection, exchange and analysis through large-scale connectivity. However, as traffic increases explosively due to the recent spread of IIoT, an allocation method that can efficiently process traffic is required. In this thesis, I propose a two-stage task offloading decision method to increase successful task throughput in an IIoT environment. In addition, I consider a hybrid offloading system that can offload compute-intensive tasks to a mobile edge computing server via a cellular link or to a nearby IIoT device via a Device to Device (D2D) link. The first stage is to design an incentive mechanism to prevent devices participating in task offloading from acting selfishly and giving difficulties in improving task throughput. Among the mechanism design, McAfee's mechanism is used to control the selfish behavior of the devices that process the task and to increase the overall system throughput. After that, in stage 2, I propose a multi-armed bandit (MAB)-based task offloading decision method in a non-stationary environment by considering the irregular movement of the IIoT device. Experimental results show that the proposed method can obtain better performance in terms of overall system throughput, communication failure rate and regret compared to other existing methods.

• Journal of Broadcast Engineering
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• v.1 no.2
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• pp.96-107
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• 1996

In case of remote image retrieval via shared network or low speed link in order to make a decision for target image problems such as transmission delay are encountered. In this paper browsing and optimization techniques are proposed for fast retrieval of Image by the multiresolution representation and progressive transmission. The proposed network model was analyzed and evaluated for system's performance improvement. Interactive user-system using several multiresolution representation has shown better performance in transmission delay minimization over the single resolution image retrieval system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.135-138
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• 1999

본 논문에서는 차세대 멀티미디어 통신인 IMT-2000의 억세스방식으로 제안되고 있는 비동기 W-CDMA(3GPP) System을 적용, 기존의 IS-95와는 달리 Pilot symbol을 이용하여 페이딩채널을 추정하여, 이를 통한 다중사용자 간섭제거 방법으로 PIC(Parallel Interference Cancellation)을 적용하고 DPCCH(Contorl)과 DPDCH(Data)의 Power Ratio에 따른 성능을 분석하였다. 시뮬레이션 결과 Hard decision 인 경우 사용자5명의 설정에서 C:D : 3:7 과 4:6에서 가장 좋은 성능을 보였으며, 사용자를 10명으로 늘렸을 경우 C:D = 4:6 보다는 3:7의 비율에서 가장 나은 성능을 보였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.38-48
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• 2017

Link attributes, such as speed, occupancy, and flow, are essential factors for transportation planning and operation. It is, therefore, one of the most important decision-making problems in intelligent transport system (ITS) to determine the optimal location of a sensor for collecting the information on link attributes. This paper aims to develop a model to determine the optimal location of a sensor to minimize the variability of traffic information on whole networks. To achieve this, a network sensor location model (NSLM) is developed to reflect discrete characteristics of data collection. The variability indices of traffic information are calculated based on the summation of diagonal elements of the variance-covariance matrix. To assess the applicability of the developed model, speed data collected from the dedicated short range communication (DSRC) systems were used in Daegu metropolitan area. The developed model in this study contributes to the enhancement of investment efficiency and the improvement of information accuracy in intelligent transport system (ITS).

• Journal of the Earthquake Engineering Society of Korea
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• v.12 no.6
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• pp.47-53
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• 2008

This research focuses on the issue of seismic retrofit prioritization based on the Caltrans' highway network serving Los Angeles and Orange counties. Retrofit prioritization is one of most important problems in earthquake engineering, and it is a problem that most decision makers face in the process of resource allocation. This study demonstrates the methods of prioritized resource allocation in the process of retrofitting a regional highway network. For the criteria of a retrofit ranking, seismic vulnerability and the importance of network link are first introduced. Subsequently, link-based seismic retrofit cases are simulated, investigating the effects of the seismic retrofit in terms of seismic performance, such as driver's delay. In this study, probabilistic scenario earthquakes are used to perform a probabilistic seismic risk analysis. The results show that the retrofit prioritization can be differently defined and ranked depending on the stakeholders. This study provides general guidelines for prioritization strategy for the effective retrofitting of a highway network system.

• The KIPS Transactions:PartC
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• v.9C no.6
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• pp.893-902
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• 2002

MPLS enables efficient explicit routing, and thus provides great advantages in supporting traffic engineering. Exploiting this capability, we Propose a load balancing scheme which deploys a multipath routing. It is named LBM (Load Balancing in MPLS networks), and targets at efficient network utilization as well as performance enhancement. LBM establishes multiple LSP (Label Switched Path)s between a pair of ingress-egress routers, and distributes traffic over these LSPs at the new level. Its routing decision is based on both the length and the utilization of the paths. In order to enhance the efficiency of a link usage, a link is limited to be used by shorter paths as its utilization becomes higher Longer paths are considered to be candidate alternative paths as the utilization of shorter paths becomes higher. Simulation experiments are performed in order to compare the performance of LBM to that of static shortest path only scheme as well as the other representative dynamic multipath traffic distribution approaches. The simulation results show that LBM outperforms the compared approaches, and the performance gain is more significant when the traffic distribution among the ingress-egress pairs is non-uniform.

• Korean Management Science Review
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• v.26 no.3
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• pp.79-100
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• 2009

Recently, most tech-based products are of multiple generations, since new-generation products are replacing the older ones as technologies continue to improve. Although, this means that research is needed to examine as much about the role of post-adoption behavior as the missing link between the adoptions of successive generation as first adoption of innovation, there is a dearth of literature explicitly examining consumers' post-adoption behavior, especially in the context of subscription-based service. For the subscription-based services, in spite of the important role of consumer satisfaction, research on the post-adoption behavior can not carefully examine the direct impact of consumer satisfaction on their decision to upgrade by considering usage instead of satisfaction as the missing link between buyers' first adoption and their next-generation adoption. This study identified two types of attribute satisfaction such as basic attribute and core attribute using both literature review and FGI (Focus Group Interview), and tries to investigate how two types of attribute satisfaction has influence on customers' intention to upgrade to the next-generation services. and a moderating role of customer loyalty between attribute satisfaction and intention. The empirical results show that core-attribute satisfaction has a negative influence on customers' intention to upgrade, due to the moderating role of customer loyalty, but it can raise their intention to upgrade next-generation services. However, basic-attribute satisfaction, on the other hand, appears to positively influence both customer loyalty and the intention to upgrade. We also find that the consumer attribute satisfaction is influenced by consumer innovativeness, her perception of service and the usage of each features' type in different ways. Finally, academic and practical implication is made, limitation is clarified and a direction for further studies is suggested.

• Journal of Korean Academy of Nursing
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• v.29 no.1
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• pp.72-83
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• 1999

The purpose of this study was to classify, from collected home health care records data, nursing diagnoses according to the NANDA system and nursing interventions according to the NIC system, and to link nursing interventions to nursing diagnoses. For this study, 101 home health care records of clients seen between September, 1994 and November, 1996 at Yonsei Medical Center, Seoul, were analyzed. The results of this study are summarized as follows : 1. The most frequent nursing diagnoses were ‘Risk for infection’ and ‘Altered nutrition : Less than body requirements’, then ‘Impaired skin intergrity’ and ‘Ineffective airway clearance’ in the Exchange pattern of NANDA nine human response patterns. 2. The most frequent nursing interventions were the interventions in the Physiological : Complex domain, there were 690(50.7%) interventions among a total 1347 interventions. This results corresponds to Yom, Young Hee(1995)’s research, both Korean and U.S. nurses used the interventions in the Physiological : Complex do main most often on a daily basis. And respiratory nursing interventions were most frequent because 32.7% of the subjects were respiratory patients. 3. The next step was to link the nursing interventions to nursing diagnoses. The most frequent nursing diagnosis was ‘Risk for infection’ and 19 interventions for ‘Risk for infection’ were used 267 times. Then 14 interventions for ‘Impaired skin integrity’ were used 258 times, 12 interventions for ‘Ineffrective airway clearance’ were used 193 times, 12 interventions for ‘Altered nutrition : Less than body requirements’ were used 122 times, 10 interventions for ‘Activity intolerance’ were used 75 times, and 11 interventions for ‘Knowledge deficit’ were used 52 times. 4. The use of standardized classification in the areas of nursing diagnoses and nursing interventions facilitates clinical decision making and prompt nursing activity, and so enhances the effectiveness of nursing care.