• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2006년도 하계학술발표대회 논문집
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• pp.417-422
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• 2006

On trends of 'well-being', heat recovery ventilators(HRV) are recently installed in high rise buildings. HRV is not energy saving instrument but ventilating one. But many people have not been aware of the accurate fact. In this study, performances of HRV are tested under foreign and domestic standards. Especially air-tightness is measured three times by using gas concentration method and pressing equipment. Wet effective ventilating air volume is acquired by solving gas concentration equations. After research air-tightness and effective ventilating air volume must be more focused on than heat transfer efficiency to select the optimal HRV. Heat transfer efficiency must be adjusted by air-tightness results.

• 센서학회지
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• 제30권5호
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• pp.290-294
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• 2021

Experts have designed popular and successful model architectures, which, however, were not the optimal option for different scenarios. Despite the remarkable performances achieved by deep neural networks, manually designed networks for classification tasks are the backbone of object detection. One major challenge is the ImageNet pre-training of the search space representation; moreover, the searched network incurs huge computational cost. Therefore, to overcome the obstacle of the pre-training process, we introduce a network adaptation technique using a pre-trained backbone model tested on ImageNet. The adaptation method can efficiently adapt the manually designed network on ImageNet to the new object-detection task. Neural architecture search (NAS) is adopted to adapt the architecture of the network. The adaptation is conducted on the MobileNetV2 network. The proposed NAS is tested using SSDLite detector. The results demonstrate increased performance compared to existing network architecture in terms of search cost, total number of adder arithmetics (Madds), and mean Average Precision(mAP). The total computational cost of the proposed NAS is much less than that of the State Of The Art (SOTA) NAS method.

• 대한임베디드공학회논문지
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• 제14권2호
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• pp.79-86
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• 2019

For decades, in-memory data structures have been designed for DRAM-based main memory that provides symmetric read/write performances and has no limited write endurance. However, such data structures provide sub-optimal performance for NVM as it has different characteristics to DRAM. With this motivation, we rethink a conventional red-black tree in terms of its efficacy under NVM settings. The original red-black tree constantly rebalances sub-trees so as to export fast access time over dataset, but it inevitably increases the write traffic, adversely affecting the performance for NVM with a long write latency and limited endurance. To resolve this problem, we present a variant of the red-black tree called a hierarchical balanced binary search tree. The proposed structure maintains multiple keys in a single node so as to amortize the rebalancing cost. The performance study reveals that the proposed hierarchical binary search tree effectively reduces the write traffic by effectively reaping the high capacity of NVM.

• 한국정보기술학회 영문논문지
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• 제10권2호
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• pp.33-48
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• 2020

By Digital Transformation, new technologies like ML (Machine Learning), Big Data, Cloud, VR/AR are being used to video streaming technology. We choose ML to provide optimal QoE (Quality of Experience) in various network conditions. In other words, ML helps DASH in providing non-stopping video streaming. In DASH, the source video is segmented into short duration chunks of 2-10 seconds, each of which is encoded at several different bitrate levels and resolutions. We built and compared the performances of five prototypes after applying five different machine learning algorithms to DASH. The prototype consists of a dash.js, a video processing server, web servers, data sets, and five machine learning models.

• ETRI Journal
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• 제46권3호
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• pp.513-525
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• 2024

Deep neural networks trained on labeled medical data face major challenges owing to the economic costs of data acquisition through expensive medical imaging devices, expert labor for data annotation, and large datasets to achieve optimal model performance. The heterogeneity of diseases, such as Alzheimer's disease, further complicates deep learning because the test cases may substantially differ from the training data, possibly increasing the rate of false positives. We propose a reconstruction-based self-supervised anomaly detection model to overcome these challenges. It has a dual-subnetwork encoder that enhances feature encoding augmented by skip connections to the decoder for improving the gradient flow. The novel encoder captures local and global features to improve image reconstruction. In addition, we introduce an entropy-based image conversion method. Extensive evaluations show that the proposed model outperforms benchmark models in anomaly detection and classification using an encoder. The supervised and unsupervised models show improved performances when trained with data preprocessed using the proposed image conversion method.

• 한국지리정보학회지
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• 제8권3호
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• pp.84-95
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• 2005

본 논문은 가시권역의 최대화를 만족하는 가시권 분석에 있어 지형요소가 어떻게 이용될 수 있으며 이러한 최적 다중 가시점 탐색 문제에 있어 지형요소의 이용이 얼마나 효과적인지를 살펴보는 연구이다. 이를 위하여 다양한 지형상태를 반영하는 지역의 DEM 자료와 각 DEM자료에 대한 지형요소 (peak, pass, pit)의 특정을 반영한 여섯 종류의 탐색방법을 제시하고 전통적인 공간 휴리스틱 (spatial heuristic)과의 비교 분석 (계산 시간과 총 가시권역 크기)을 통해서 지형요소를 이용한 방법의 효율성과 적용 가능성을 살펴보았다. 연구결과로써, 가시구역의 중복을 최소화하기 위해 제시된 버퍼링을 이용한 방법의 경우, 비록 공간 휴리스틱 방법에 비해 적은 가시구역 면적을 제시하였지만, 컴퓨팅 시간적인 측면에서 많은 이점을 제공하고 있음을 볼 수 있다. 또한 연구지역의 DEM상의 각각의 개별 그리드 셀을 대상으로 전체 DEM에 대해 계산된 가시구역을 이용한 방법의 경우, 비록 부가적인 계산 시간이 소요됨에도 불구하고 단순한 지형요소를 이용한 방법보다 향상된 분석 결과를 제시하였음을 알 수 있다.

• 한국통신학회논문지
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• 제40권11호
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• pp.2205-2217
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• 2015

생체모방 라우팅 프로토콜은 동적 환경에서 집단 생명체가 분산 자율적인 방식으로 최적 경로를 찾아가는 원리를 이용하여 네트워크 토폴로지 변화에 따라 오버헤드를 줄이며, 라우팅 성능을 극대화하고, 경로 단절시 빠른 복구가 가능하다. 본 논문에서는 이동 애드혹 네트워크를 위한 생체모방 라우팅 프로토콜을 제안한다. 제안 방식은 추가적인 오버헤드 없이 라우팅 정보를 얻기 위하여 무선 매체의 엿듣기(overhearing) 기능을 사용한다. 엿듣기를 통해 출발지와 목적지 사이의 최단 경로 주변에 페로몬을 확산시키고, 확산된 페로몬을 기반으로 확률적 경로 탐색을 수행하여 출발지와 목적지 간 유용한 대체 경로를 확보한다. 이와 같은 방식으로 제안 프로토콜은 제어 오버헤드를 줄이면서 최신의 라우팅 정보를 획득할 수 있다. 시뮬레이션 결과 제안하는 생체모방 라우팅 프로토콜은 기존 AODV 및 AntHocNet 프로토콜 보다 우수한 라우팅 성능을 보여주면서 AntHocNet 보다 오버헤드를 크게 감소시킨다.

• 설비공학논문집
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• 제18권1호
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• pp.24-30
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• 2006

Three liquid cooling heat exchangers for cooling of telecommunication equipment were designed and their cooling performances were tested. The liquid cooling heat exchangers had twelve rectangular channels $(5\times3 mm)$ with different flow paths of 1, 4, and 12. Silicon rubber heaters were used to provide heat flux to the test section. Heat input was varied from 75 to 400 W, while flow rate and inlet temperature of working fluid were altered from 1.2 to 4.0 liter/fin and from 15 to 3$30^{\circ}C$, respectively. The 4-path heat exchanger showed lower and more uniform average inner temperatures between heaters and the surface of heat exchanger than those of the others. To obtain optimal distribution of working fluid to each channels of liquid cooling heat exchangers, 2-3-2 and 4-3 type tube distributors were designed, and their distribution performances of working fluid were numerically and experimentally investigated. The distributor of the 2-3-2 type showed superior distribution performance compared with those of the 4-3 type distributor.

• Journal of the Korean Wood Science and Technology
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• 제45권5호
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• pp.511-518
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• 2017

최근의 단열 재료에 대한 관심과 연구는 단열성능 이외의 복합적 성능을 요구하는 추세이다. 본 연구에서는 구조적인 성능을 가지는 왕겨숯 보드 개발을 위한 목재 섬유대 왕겨숯의 최적 비율을 찾고자 하였다. 왕겨숯을 활용하여 구조적 성능을 지니는 친환경 단열재를 개발하고자 기초 연구를 실시하여 다음과 같은 결론을 얻었다. 최종 왕겨숯 보드의 함수율은 3.2~4.1%로 얻어졌으며, 밀도는 0.58~0.68로 우수한 구조재료로서의 가능성을 보였다. 휨강도는 길이방향으로 9.1-32.6 MPa, 그리고 폭방향으로는 9.2-34.1 MPa로 나타났다. 통상적으로 사용되는 MDF 수준의 휨강도를 얻을 수 있어 구조적 성질을 가지는 단열재 개발의 가능성을 찾을 수 있었다.

• 한국양식학회지
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• 제18권3호
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• pp.189-195
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• 2005

By testing the separation performance for a fine settleable solid removal system in an aquaculture system using polystyrene particles as an experimental substitute, the optimal geometric dimensions for a Low-Pressure Hydrocyclone (LPH) were obtained. The design approach far the LPH took into consideration two inflow diameters (Di: 30, 50 mm), three overflow diameters (Do: 60, 70, 100 mm) and four cylinder lengths (Lc: 250, 345, 442, 575 mm), while the cylinder diameter (Dc) at 335 mm, the underflow diameter (Du) at 50 mm and the cone angle (${\theta}$) at $68^{\circ}$ were kept constant. The separation performances of 19 different dimension combinations of LPH were tested, ranging from 300 to 1200 ml/sec of inflow rate using substitute polystyrene particles (0.4-0.7 mm dia., ${\rho}_s=1.05g/cm^3$). These polystyrene particles exhibit a similar density and settling velocity to the fine fecal debris of the common carp. The total separation efficiency for the inflow rate ranged from a high of 97% to a low of 20%. Experimental results obtained by ANCOVA and the Tukey test (${\alpha}=0.05$) showed that the separation performances of the LPH were significantly affected (P<0.05) by the fi, Di, Do and Lc. The maximum separation performance was detected at a dimension combination of 30 mm of inflow diameter (Di), 60 mm of overflow diameter (Do), 442 and 575 mm of cylinder length (Lc). The dimension proportions were 0.09, 1.32-1.72, 0.18 and 0.15 for Di/Dc, Lc/Dc, Do/Dc and Du/Dc respectively.