• Wind and Structures
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• 제32권2호
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• pp.127-142
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• 2021

Wind load acting on a standalone structure is different from that acting on a similar structure which is surrounded by other structures in close proximity. The presence of other structures in the surrounding can change the wind flow regime around the principal structure and thus causing variation in wind loads compared to a standalone case. This variation on wind loads termed as interference effect depends on several factors like terrain category, geometry of the structure, orientation, wind incident angle, interfering distances etc., In the present study, a three building configuration is considered and the mean pressure coefficients on each face of principle building are determined in presence of two interfering buildings. Generally, wind loads on interfering buildings are determined from wind tunnel experiments. Computational fluid dynamic studies are being increasingly used to determine the wind loads recently. Whereas, wind tunnel tests are very expensive, the CFD simulation requires high computational cost and time. In this scenario, Artificial Neural Network (ANN) technique and Support Vector Regression (SVR) can be explored as alternative tools to study wind loads on structures. The present study uses these data-driven approaches to predict mean pressure coefficients on each face of principle building. Three typical arrangements of three building configuration viz. L shape, V shape and mirror of L shape arrangement are considered with varying interfering distances and wind incidence angles. Mean pressure coefficients (Cp mean) are predicted for 45 degrees wind incidence angle through ANN and SVR. Further, the critical faces of principal building, critical interfering distances and building arrangement which are more prone to wind loads are identified through this study. Among three types of building arrangements considered, a maximum of 3.9 times reduction in Cp mean values are noticed under Case B (V shape) building arrangement with 2.5B interfering distance. Effect of interfering distance and building arrangement on suction pressure on building faces has also been studied. Accordingly, Case C (mirror of L shape) building arrangement at a wind angle of 45º shows less suction pressure. Through this study, it was also observed that the increase of interfering distance may increase the suction pressure for all the cases of building configurations considered.

• Bulletin of the Korean Chemical Society
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• 제32권6호
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• pp.1859-1864
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• 2011

Two lanthanide complexes, $[Ln(NO_3)_2(H_2O)_3(L)_2](NO_3)(H_2O)$ {Ln = Eu (1), Tb (2); L = 2-(4-pyridylium)-ethanesulfonate, $(4-pyH)^+-CH_2CH_2-SO_3^-)$}, were prepared from lanthanide nitrate and 4-pyridineethanesulfonic acid in $H_2O$ under microwave-heating conditions. Complexes 1 and 2 are isostructural, and the lanthanide metal in both complexes is coordinated to nine oxygen atoms. The pyridyl nitrogen in the ligand is protonated to give a zwitter ion that possesses an $NH^+$ (pyridyl) positive end and an $SO_3^-$ negative end. All O-H and N-H hydrogen atoms participate in hydrogen bonds to generate a two-dimensional (complex 1) or a three-dimensional network (complex 2). Complex 1 exhibits an intense red emission, whereas complex 2 exhibits an intense green emission in the solid state at room temperature.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2004년도 하계학술대회
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• pp.273-277
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• 2004

서울대학교와 KT는 연구 환경 조성과 U-Campus 시범 구축을 위해서 산학협력 협약을 하고, 서울대학교에 NESPOT 시설을 구축하였다. 본 논문은 서울대학교 내의 NESPOT 이용자들의 NESPOT 서비스 이용 패턴 및 무선랜의 트래픽 특성을 분석하기 위한 시스템의 설계와 구현에 대한 내용을 다룬다. NESPOT 트래픽 특성을 분석하기 위한 시스템은 TCPDUMP를 이용하여 백본 라우터로부터 네트워크 전체에 대한 정보를 획득하고, SNMP (Simple Network management Protocol)을 통해 AP로부터 무선랜 관련 정보를 얻는다. 그리고, NESPOT 사용자의 단말에 관련된 보다 구체적인 정보를 얻기 위해서 TIS (Terminal Information System)을 개발하였다.

• 한국멀티미디어학회논문지
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• 제13권1호
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• pp.83-92
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• 2010

센서 네트워크는 다양한 응용분야에 적용될 수 있다. 환경 센서와 무선 네트워크를 이용하여 환경정보를 수집하고 생태계를 감시하는 시스템은 대표적인 센서 네트워크 응용 시스템이다. 그러나 센서 노드의 제한된 배터리 용량은 네트워크와 시스템의 수명을 결정하는 핵심 요소이며, 수집되는 정보의 품질에도 영향을 미친다. 우리는 캠퍼스에 구축된 환경정보 시스템의 실험을 통해 환경 센서 노드의 수명에 영향을 미치는 요소를 식별하고 향후 센서 네트워크 응용 시스템 구축에 유용한 몇 가지 제안을 제시하고자 한다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제5권6호
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• pp.686-699
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• 1999

본 논문은 열린대학(및 열린병원) 구현을 위한 캠퍼스내(종합병원내)에서의 무선 LAN을 이용한 멀티미디어 원격교육(및 원격진료) 시스템 구현에 관한 연구이다. 본 시스템은 정보통신 기술과 멀티미디어 기술이 접목되어 개발된 시스템이다. 또한 본 시스템은 성균관대학교의 원격교육시스템을 확장한 개념이기도 하다. 또한 본 원격교육 시스템은 멀티미디어 미들웨어에 의해 실시간 상호참여형 환경과 IP multicasting을 제공하고 있다.본 시스템은 캠퍼스 내에서 AP(Access Point)을 사용한 무선 LAN과 캠퍼스와 캠퍼스 사이의 T1/E1 네트워크로 구성되어 있다. 이것은 로밍지역을 해결하기 위한 handoff와 중재를 위한 다중 브릿지을 사용함으로써 구현이 가능하다. Abstract In this paper, we propose a multimedia distance education system(or telemedicine) using a wireless LAN for an inner campus university/hospital, which is intended to implement an open university. This system is implemented by a high technology of multimedia and information communication software. Also, this system is an enhanced and expanded system of the conventional distance education of SKKU(Sung Kyun Kwan University). The structure of this system consists of a T1/E1 network(information super high way) between campuses and wireless LAN using the AP(Access Pointer) inner campus. It will be able to use a use multiple bridge for mediation and hand off to solve roaming areas. This distance education system supports a real-time collaboration environment and IP multicasting by multimedia middleware for collaboration.

• 한국지반신소재학회논문집
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• 제17권4호
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• pp.251-265
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• 2018

본 연구에서는 해저 터널의 특수성을 고려한 NATM 2차 라이닝의 최적 설계 시스템을 개발하였다. 해저 터널은 일반적으로 일정 수압 하의 토사나 암반 등으로 구성된 해저 지반 내에 시공된다. 본 설계 시스템은 특정 해저 터널 단면에서의 지반 조건, 시공 조건 및 터널 조건을 고려하여 인공신경망 기반의 라이닝 부재력 예측 시스템을 구축하고, 시공성이 확보된 단면 DB를 구축하여 해저터널에서 최적 단면 설계가 가능하도록 구성하였다. 단면 검토 및 설계에 사용되는 라이닝 부재력 예측은 유한요소해석을 토대로 구축한 인공신경망을 통해 일반화한 후 별도의 추가 해석이 필요없이 유사 단면의 해저 터널 설계에 적용이 가능하도록 하였다.

• Computers and Concrete
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• 제24권4호
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• pp.329-345
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• 2019

Despite the extensive use of mortar materials in constructions over the last decades, there is not yet a robust quantitative method, available in the literature, which can reliably predict mortar strength based on its mix components. This limitation is due to the highly nonlinear relation between the mortar's compressive strength and the mixed components. In this paper, the application of artificial neural networks for predicting the compressive strength of mortars has been investigated. Specifically, surrogate models (such as artificial neural network models) have been used for the prediction of the compressive strength of mortars (based on experimental data available in the literature). Furthermore, compressive strength maps are presented for the first time, aiming to facilitate mortar mix design. The comparison of the derived results with the experimental findings demonstrates the ability of artificial neural networks to approximate the compressive strength of mortars in a reliable and robust manner.

• 공학교육연구
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• 제13권5호
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• pp.76-80
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• 2010

In this paper, the Location Compensation Mechanism using equivalent distance rate ($LCM_{edr}$) for localization system based on SDS-TWR (Symmetric Double-Sided Two-Way Ranging) in wireless sensor network is proposed. The performance of the mechanism is experimented in terms of two types of the localization tracking scenarios of indoor and outdoor environments in university campus. From the experimentations, the compensation ratio in the $LCM_{edr}$ is better than that in SDS-TWR about 90% in indoor/outdoor environments in scenario 1 but also is better than that of SDS-TWR about 91.7% in indoor environment and about 100% in outdoor environment in scenario 2 respectively.

• International Journal of Quality Innovation
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• 제4권1호
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• pp.148-159
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• 2003

Variation is the archenemy of quality. To reduce or control the variation in a complex production unit, firstly we need to identify the location of the root cause of the variation. This paper discusses the detection of variability and the techniques used for reduction of variation for a production unit consisting of many processes. In the first part of this paper, the background of variability detection in production systems is introduced which is then followed by a weighted network corresponding to correlation matrix of all processes. Based on the network and clustering criterion of maximum spanning tree, a classification of all processes is derived. Furthermore, the variation of each process in a class is determined by residual analysis. In the last part, the use of methods of robust design for the processes with a larger variability is discussed.

• Journal of information and communication convergence engineering
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• 제12권1호
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• pp.26-32
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• 2014

Vehicular-to-anything (V2X) technology is attractive for wireless vehicular ad-hoc networks (VANETs) because it allows for opportunistic choice of a vehicular protocol between vehicular-to-vehicular (V2V) and vehicular-to-infrastructure (V2I) communications. In particular, achieving seamless connectivity in a VANET with nearby network infrastructure is challenging. In this paper, we propose a density-based opportunistic broadcasting (DOB) protocol, in which opportunistic connectivity is carried out by using the nearby infrastructure and opposite vehicles for solving the problems of disconnection and long end-to-end delay times. The performance evaluation results indicate that the proposed DOB protocol outperforms the considered comparative conventional schemes, i.e., the shortest path protocol and standard mobile WiMAX, in terms of the average end-to-end delay, packet delivery ratio, handover latency, and number of lost packets.