• 한국포장학회지
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• 제29권2호
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• pp.129-138
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• 2023

The proportion of agricultural products handled through the Agricultural Products Processing Center (APC) is also steadily increasing every year, and in the case of Seongju Korean melon, a total of 10 APCs of Nonghyup and farming association corporations are in operation, and the distribution ratio is about 60% based on total production. In this study, Seongju Korean melon was selected as a target to analyze the environment load during carrying (production farm ~ APC) in the production area and the transport environment load during distribution of domestic fruits, and to analyze the environmental load for handling at APC. The vertical average vibration intensity (overall G_rms of 1~250 Hz) of truck transport measured at three transport routes from Seongju Korean melon producer ~ APC, Seongju ~ Seoul and Seongju ~ Jeju was about three times larger than that in the lateral direction and 4.5 times larger than that in the longitudinal direction, respectively. The frequency of occurrence of high-amplitude events (G) in the vertical direction compared to the measuring time was deeply related to pavement conditions in the order of unpaved farm-roads, concretepaved farm-roads, and asphalt-paved main-roads, but overall G_rms for the entire frequency band is believed to have a greater impact on vehicle traveling speed than road conditions. On the other hand, the difference in the size and direction of the vibration intensity measured by the forklift truck's main-body and the attachment (fork carrier) during handling at Seongju Korean melon APC was clear, and the vibration intensity of the forklift truck's main-body was largely affected by the stiffness of the fork and the mast according to the handling weight. Based on the field-data of the transport environment during domestic distribution measured through this study, it is believed that it is possible to develop a lab-based simulation protocol for appropriate packaging design.

• ETRI Journal
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• 제36권5호
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• pp.761-771
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• 2014

Long-Term Evolution employs a hard handover procedure. To reduce the interruption of data flow, downlink data is forwarded from the serving eNodeB (eNB) to the target eNB during handover. In cellular networks, unbalanced loads may lead to congestion in both the radio network and the backhaul network, resulting in bad end-to-end performance as well as causing unfairness among the users sharing the bottleneck link. This work focuses on congestion in the transport network. Handovers toward less loaded cells can help redistribute the load of the bottleneck link; such a mechanism is known as load balancing. The results show that the introduction of such a handover mechanism into the simulation environment positively influences the system performance. This is because terminals spend more time in the cell; hence, a better reception is offered. The utilization of load balancing can be used to further improve the performance of cellular systems that are experiencing congestion on a bottleneck link due to an uneven load.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2001년도 춘계종합학술대회
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• pp.378-382
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• 2001

인터넷 방송 등의 서비스를 제공하는 서버 시스템 등에서 사용자 수가 증가함에 따라 서비스 질이 저하된다거나 네트워크의 폭주로 인하여 실시간성 상실 및 데이터 손실이 발생할 수 있다. 또한. 인터넷 방송 등과 같이 네트워크를 통해서 압축 부호화된 영상이나 음성 데이터를 전송하는 경우, 일반적인 multicast 방식으로는 신뢰성 있는 데이터 전송을 보장할 수 없다는 문제점이 있다. 이를 극복하기 위하여 사용자 수의 증가에 대하여 서버가 크게 영향을 받지 않도록 하는 방법과, 다양한 사용자의 네트워크 상황을 고려하는 지능적인 데이터 송신 기술이 요구된다. 본 논문에서는 다수 이용자를 지원하는 인터넷 방송과 같은 응용에서 신뢰성있는 실시간 영상 및 음성 데이터 전달을 위하여, reliable multicast를 사용하여 전송 오류가 없도록 하고, 네트워크 환경에 따른 사용자별 adaptive encoding을 통해 다양한 네트워크 환경에 동적으로 적응하여 서비스의 질을 향상시키며, 비슷한 접속 속도의 사용자들을 그룹화하여 사용자 수의 증가에 대한 서버의 부하를 줄이는 서버 구현 방법을 제안한다.

• 한국물환경학회지
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• 제25권6호
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• pp.972-978
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• 2009

This study modifies the present total maximum daily load (TMDL) system of Ministry of Environment and applies to the Anyangcheon watershed. Hydrologic Simulation Program-FORTRAN (HSPF) model is used to simulate both runoff and non-point source pollution, simultaneously, instead of QUAL2E. The drought flow (355th daily flow) is proposed for the target water quantity since it is easier to satisfy low flow (275th daily flow) for the target water quality than drought flow. The increase of discharge is more than the increase of pollutant load except for the period under low flow. The measured unit loads for non-point source are used to consider the regional runoff characteristics. The measured water quantity and quality data are used since the ministry of environment supports only water quality. This analysis results show some reasons for the improvement of the present TMDL system of Korea.

• 유체기계공업학회:학술대회논문집
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• 유체기계공업학회 2003년도 유체기계 연구개발 발표회 논문집
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• pp.649-655
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• 2003

Load calculation is indispensable for the construction of a large wind turbine generator system (WTGS). In procedures of load calculation, all conditions affecting to WTGS such as environment of site, operation, transport and installation have to be considered systematically. So the certification of WTGS is issued by assuring the load calculation. This work shows the generals of load calculation briefly and introduces the characteristics and results of load calculations for the 750 kW direct-drive WTGS (KBP-750D) which is under development by the consortium of POSTECH and UNISON.

• 한국물환경학회지
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• 제26권1호
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• pp.111-115
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• 2010

Beaches in estuaries, bays, and harbors are frequently contaminated with indicators of human pathogens such as fecal indicator bacteria. Tracking down the sources of contamination at these enclosed beaches is complicated by the many point and non-point sources that could potentially degrade water quality along the shore. A mathematical framework was developed to test quantitative relationships between fecal indicator bacteria concentration in ankle depth water at enclosed beaches, the loading rate of fecal indicator bacteria from non-point sources located along the shore, physical characteristics of the beach that affect the transport of fecal indicator bacteria across the beach boundary layer, and a background concentration of fecal indicator bacteria attributable to point sources of fecal pollution that impact water quality over a large region of the embayment. Field measurements of fecal indicator bacteria concentrations and water turbulence at an enclosed beach were generally consistent with predictions and assumptions of the mathematical model, and demonstrated its utility for assessing waste load of non-point sources, such as runoff, bather shedding, bird droppings, and tidal washing of contaminated sediments.

• 한국해양환경ㆍ에너지학회지
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• 제6권3호
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• pp.16-25
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• 2003

본 논문에서는 RORO선을 이용한 연안운송에 따른 CO₂가스 배출량과 NOx가스 배출량의 삭감 효과에 대하여 고찰한다. 먼저 국내 CO₂가스 배출량과 수출입 컨테이너화물의 물동량에 대하여 고찰한다. 다음에 RORO선의 특성, CO₂가스 배출량 기준과 NOx가스 배출량 기준에 대하여 고찰한다. 또한 경인지역과 부산항 사이의 수출입 컨테이너 화물의 운송에 있어서 도로운송을 연안운송으로 전환한 경우의 CO₂가스 배출량과 NOx가스 배출량 삭감 효과에 대하여 계산한다. 마지막으로 RORO선의 적재율과 연안운송 분담율 변화에 따른 CO₂가스 배출량과 NOx가스 배출량 변화에 대하여 조사한다. 본 논문의 결과를 통하여 수출입컨테이너 화물의 운송을 도로운송으로부터 RORO선을 이용한 연안운송으로 전환하는 것이 CO₂가스 배출량 삭감에는 효과적이나 NOx가스 배출량 삭감에는 큰 효과가 없는 것을 확인하였다.

• Structural Monitoring and Maintenance
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• 제7권1호
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• pp.43-58
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• 2020

Pile foundations of existing bridges lie in soil and water environment for long term and endure relatively heavy vertical loads, thus prone to damages, especially after stricken by external forces, such as earthquake, collision, soil heap load and etc., and the piles may be injured to certain degrees as well. There is a relatively complete technical system for quality inspection of new bridge pile foundations without structures on the top. However, there is no mature technical standard in the engineering community for the non-destructive testing technology specific to the existing bridge pile foundations. The quality of bridge pile foundations has always been a major problem that plagues bridge maintenance. On the basis of many years' experiences in test engineering and theoretical studies, this study developed a new type of detection technology and equipment for the existing bridge piles.

• 한국물환경학회지
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• 제26권3호
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• pp.413-419
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• 2010

A silica mine monitoring was conducted from March to December in 2008 to measure rainfall, runoff amounts and pollution loads. A total of 13 rainfall-runoff events were measured and analyzed with respect to runoff ratio, pollutant concentration and load, and initial flush. Over rainfall-runoff events, 95% confidence range of SS concentration was 942.5~2,056.2 mg/L. Other measured water quality indices also showed relatively large variation. This wide concentration variation was thought to be caused by the bare working ground of the mine that was used to store, process and transport the mined silica. Total pollution load of the 13 rainfall-runoff events was SS 17,901 kg/ha, $COD_{Cr}$ 160.9 kg/ha, $COD_{Mn}$ 111.24 kg/ha, BOD 79.6 kg/ha, T-N 13.8 kg/ha, T-P 3.5 kg/ha, and TOC 39.3 kg/ha. Initial flush was not well observed except SS. Very high SS concentration and load was occurred when rainfall was large. Therefore, it was recommended to manage the bare ground not to discharge excessive pollutants during wet days by covering the ground or constructing runoff treatment systems such as a sediment basin.

• Smart Structures and Systems
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• 제24권6호
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• pp.723-732
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• 2019

Globally road transport networks are subjected to continuous levels of stress from increasing loading and environmental effects. As the most popular mean of transport in the UK the condition of this civil infrastructure is a key indicator of economic growth and productivity. Structural Health Monitoring (SHM) systems can provide a valuable insight to the true condition of our aging infrastructure. In particular, monitoring of the displacement of a bridge structure under live loading can provide an accurate descriptor of bridge condition. In the past B-WIM systems have been used to collect traffic data and hence provide an indicator of bridge condition, however the use of such systems can be restricted by bridge type, assess issues and cost limitations. This research provides a non-contact low cost AI based solution for vehicle classification and associated bridge displacement using computer vision methods. Convolutional neural networks (CNNs) have been adapted to develop the QUBYOLO vehicle classification method from recorded traffic images. This vehicle classification was then accurately related to the corresponding bridge response obtained under live loading using non-contact methods. The successful identification of multiple vehicle types during field testing has shown that QUBYOLO is suitable for the fine-grained vehicle classification required to identify applied load to a bridge structure. The process of displacement analysis and vehicle classification for the purposes of load identification which was used in this research adds to the body of knowledge on the monitoring of existing bridge structures, particularly long span bridges, and establishes the significant potential of computer vision and Deep Learning to provide dependable results on the real response of our infrastructure to existing and potential increased loading.