• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.3
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• pp.71-81
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• 2007

Government-driven informatization support projects for small and medium companies turn into collaborative information technology alliances between mother companies and their suppliers. These collaboration efforts are driven by a mother company that can influence and support its suppliers. A mother company establishes a proprietary evaluation system for suppliers' informatization level and enforces the suppliers to use their ERP (Enterprise Resource Planning) systems above a certain level. This paper presents a Samsung Electronics case to find determinant factors for ERP system usage level. This case study aims at providing long-term strategies for the collaboration project and helping the suppliers effectively pursue their informatization projects. Furthermore, the case study will reveal issues and tasks for the mother companies to accomplish sustainable success for their suppliers' informatization.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.11a
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• pp.65-67
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• 2014

There are many elastomeric joint sealant applications in construction such as structural glazing, weatherproofing and insulating glass fabrication etc. Each sealant joints require unique durability functions to perform well through building life cycle. Elastomeric joints in bathroom and kitchen is one of areas which require durable sealing. In this application, anti fungal durability is proprietary function of sealant during building life cycle. Premature failure of anti fungus resistance of sealant is putting big stresses to general contractor as well as the inhabitants due to costly rework and poor sanitation. Accordingly, when chemists design a product, they must take into account various parameters not only formulation components also test conditions in order to have long term fungal durability. This paper reviews several biocide options with various industry standards for fungus resistance performance to suggest making new test method for construction sealant industry.

• ETRI Journal
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• v.37 no.4
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• pp.685-695
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• 2015

This paper proposes a novel video delivery scheme that reduces the bandwidth consumption cost from a video server to terminals in Long-Term Evolution networks. This proposed scheme combines optimized hybrid multicast with a segment-based caching strategy for use in environments where the maximum number of multicast channels is limited. The optimized hybrid multicast, allocation of multicast channels, and cache allocation are determined on the basis of a video's request rate, the related video's length, and the variable cost per unit size of a segment belonging to the related video. Performance evaluation results show that the proposed scheme reduces a video's delivery costs. This work is applicable to on-demand TV services that feature asynchronous video content requests.

• Proceedings of the Korea Concrete Institute Conference
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• 2004.11a
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• pp.253-256
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• 2004

Recently, construction works of scale are getting larger with economic growth. Shotcreting is one of major processes in tunnels construction. Accelerator is used in tunnel and underground structures to ensure early strength of shotcrete. Silicate based accelerator and aluminate based accelerator is getting widely in the field. But these accelerators have many problems due to decesase of long-term strength and low quality of the hardened shotcrete. in order to solve these problems, recently developed powder types cement mineral accelerator. In this study, we tested chloride permeability, freezing and thawing and accelerated carbonation of shotcrete. As a result of the test, wet-mixed shotcrete with powder types cement mineral accelerator exhibited durability improvement compared to the conventional shotcrete accelerator.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2000.05a
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• pp.82-85
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• 2000

Polymeric composite insulators are used for outdoor insulation. However, our knowledge about their long-term performance in an outdoor environment is still very limited. The electrical stress caused the surface of these insulators to become degradation. In order to evaluate the tracking resistance of polymer insulators, we performed the tracking wheel test which is recommended by CEA LWIWG-01. And the flashover voltage tests were conducted for understanding electrical characteristics after tacking wheel test. Also, these insulators are studied by characterization methods such as contact angle measurement, SEM, etc.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.633-636
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• 2022

The reduction of energy consumption at the base station (BS) has become more important recently. In this paper, we consider the adaptive muting of the antennas based on the predicted future traffic load to reduce the energy consumption where the number of active antennas is adaptively adjusted according to the predicted future traffic load. Given that traffic load is sequential data, three different RNN structures, namely long-short term memory (LSTM), gated recurrent unit (GRU), and bidirectional LSTM (Bi-LSTM) are considered for the future traffic load prediction. Through the performance evaluation based on the actual traffic load collected from the Afghanistan telecom company, we confirm that the traffic load can be estimated accurately and the overall power consumption can also be reduced significantly using the antenna musing.

• Journal of Information Processing Systems
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• v.19 no.1
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• pp.80-88
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• 2023

RGB-thermal (RGB-T) tracking using unmanned aerial vehicles (UAVs) involves challenges with regards to the similarity of objects, occlusion, fast motion, and motion blur, among other issues. In this study, we propose dynamic tracking aggregation (DTA) as a unified framework to perform object detection and data association. The proposed approach obtains fused features based a transformer model and an L1-norm strategy. To link the current frame with recent information, a dynamically updated embedding called dynamic tracking identification (DTID) is used to model the iterative tracking process. For object association, we designed a long short-term tracking aggregation module for dynamic feature propagation to match spatial and temporal embeddings. DTA achieved a highly competitive performance in an experimental evaluation on public benchmark datasets.

• Journal of Information Processing Systems
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• v.19 no.1
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• pp.130-138
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• 2023

The traffic flow in an urban area is affected by the date, weather, and regional traffic flow. The existing methods are weak to model the dynamic road network features, which results in inadequate long-term prediction performance. To solve the problems regarding insufficient capacity for dynamic modeling of road network structures and insufficient mining of dynamic spatio-temporal features. In this study, we propose a novel traffic flow prediction framework called shared spatio-temporal attention convolution optimization network (SSTACON). The shared spatio-temporal attention convolution layer shares a spatio-temporal attention structure, that is designed to extract dynamic spatio-temporal features from historical traffic conditions. Subsequently, the graph optimization module is used to model the dynamic road network structure. The experimental evaluation conducted on two datasets shows that the proposed method outperforms state-of-the-art methods at all time intervals.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.304-304
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• 2022

가뭄은 인간 활동과 생태계의 다양한 측면에 영향을 미치는 중요한 자연재해 중 하나이다. 가뭄을 사전에 예측하여 필요한 완화 조치를 취하고 환경적 피해를 줄이는 것이 중요하다. 이에 따라 다양한 인공지능 기술을 이용한 가뭄 예측은 수문학, 수자원 관리, 농업 등의 분야에서 중요성이 커지고 있다. 최근에는 딥러닝 알고리즘을 기반으로 하는 중장기 강수예보를 위한 다양한 방법이 제시되고 있다. 이 논문의 목적은 가뭄 예보를 목적으로 월 강수량 예측을 위한 딥러닝 모델의 성능을 평가하는 것이다. 이를 위해 딥러닝 모델인 LSTM(Long Short-Term Memory)을 적용하였으며, 1981-2020년 기간의 월 강수 자료가 모델을 구축하기 위해 사용되었다. 관측자료를 기반으로 학습된 모델을 이용하여 테스트 기간에 대해 월 강수량을 예측하였다. 예측된 강수량을 통해 표준강수지수(Standardized Precipitation Index, SPI)을 산정하고, 예측 정확도를 분석하였다. 이 연구는 가뭄 예보를 위한 딥러닝 모델의 적용 가능성을 보여준다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.260-263
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• 2021

3GPP (3rd generation partnership project)는 5G 요구 조건을 충족시키기 위해 release 16 에서 FeMBMS (further evolved MBMS)를 LTE 기반 5G MBMS 로 개선하였다. 이어서, 현재 개발 중인 release 17 에서 NR 기반의 디지털 방송을 위한 NR MBS (multimedia broadcast services)가 논의되고 있다. 본 논문에서는 LTE (long term evolution) 기반 5G MBMS (fifth generation multimedia broadcast & multicast services)와 5G NR (fifth generation new radio)의 PBCH (physical broadcast channel) 에 대한 송수신기 구조를 설명하고, 성능을 평가한다. 본 논문에서는 가산 백색 가우시안 잡음(additive white Gaussian noise: AWGN) 및 고정 환경 하에서 LTE 기반 5G MBMS 와 5G NR 에 대한 PBCH 의 성능을 비교한다.