• Title/Summary/Keyword: Transport environment load

Search Result 60, Processing Time 0.023 seconds

Measurement and Analysis of Physical Environmental Load during Handling and Distribution of Domestic Fruits -Focused on Seongju Korean Melon

  • Jongmin Park;Donghyun Kim;Wontae Seo;Hyunmo Jung
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
    • /
    • v.29 no.2
    • /
    • pp.129-138
    • /
    • 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 Grms 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 Grms 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.

Congestion-Aware Handover in LTE Systems for Load Balancing in Transport Network

  • Marwat, Safdar Nawaz Khan;Meyer, Sven;Weerawardane, Thushara;Goerg, Carmelita
    • ETRI Journal
    • /
    • v.36 no.5
    • /
    • pp.761-771
    • /
    • 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.

A Study on the Reliable Transport Mechanism for delivering realtime video and audio data in Internet Broadcasting Applications (다수이용자를 지원하는 인터넷방송을 위한 신뢰적인 영상 및 음성 전송방법에 관한 연구)

  • 김용회;이현태;오용선
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2001.05a
    • /
    • pp.378-382
    • /
    • 2001
  • There are some technical problems in current internet-broadcasting. The load of server rises in proportion to user connection. And the inefficient usage of network bandwidth deteriorates quality of services and doesn't transport multimedia data in real time. To overcome above problems, multicast transport technology is applied to real-time multimedia data transport. But the reliability problem is still remained. This paper provides an efficient design of internet broadcasting server. We propose an multimedia data transport algorithm using adaptive encoding by grouping users according to similar connection environment. Performance evaluations show that the mechanism decreases the load of server and improves the quality of services.

  • PDF

Improvement and Application of Total Maximum Daily Load Management System of Korea: 1. Calculation of Total Amount of Pollutant Load in the Anyangcheon Watershed (우리나라 오염총량관리제도의 개선 및 적용: 1. 안양천 유역의 오염부하량 산정)

  • Kim, Kyung-Tae;Chung, Eun-Sung;Kim, Sang-Ug;Lee, Kil Seong;Seong, Jin-Young
    • Journal of Korean Society on Water Environment
    • /
    • v.25 no.6
    • /
    • pp.972-978
    • /
    • 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.

Load Calculation of a 750 kW Direct-drive Wind Turbine Generator System (750kW급 직접구동형 풍력발전기의 부하계산)

  • Sohn, Y.U.;Park, I.S.;Kwon, S.J.;Kim, Y.C.;Son, J.B.;Kim, K.R.;Chung, C.W.;Chun, J.H.;Ryu, J.Y.
    • 유체기계공업학회:학술대회논문집
    • /
    • 2003.12a
    • /
    • pp.649-655
    • /
    • 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.

  • PDF

A Mathematical Framework for Estimating Non-point Waste Load at Enclosed Beaches (연안 하구역 내의 비점오염부하량 산정을 위한 수학모델의 적용)

  • Ahn, Jong Ho
    • Journal of Korean Society on Water Environment
    • /
    • v.26 no.1
    • /
    • pp.111-115
    • /
    • 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.

Study on the reduction of green house effect gas emission by RORO ship coastal transport of import-export container cargo (RORO선을 이용한 수출입컨테이너화물의 연안운송에 의한 온실가스 배출량 삭감에 관한 연구)

  • Kim S. H.;Koh C. D.
    • Journal of the Korean Society for Marine Environment & Energy
    • /
    • v.6 no.3
    • /
    • pp.16-25
    • /
    • 2003
  • In this paper, the reduction of green house effect gas CO₂ emission and NOx gas emission by using the RORO ship coastal transport of import-export container cargo was investigated. At first, the domestic CO₂ gas emission and the transportation of import-export container cargo were Investigated. Next, the characteristic of a RORO ship and CO₂ emission standard and NOx emission standard were investigated. And also, the reduction of CO₂ emission and NOx emission by the shift of coastal transport from land transport for the transportation of import-export container cargo between Kyongin area and Pusan Port were calculated. Finally, the change of CO2 and NOx gas emission due to the change of the share of coastal transportation and the load efficiency of RORO ship are investigated. The research results show that the shift of RORO ship coastal transport from land transport was very effective to reduce the CO₂ emission but it was no good to reduce the NOx emission.

  • PDF

Research on non-destructive testing technology for existing bridge pile foundations

  • Zhang, Xue-feng;Ni, Ying-sheng;Song, Chunxia;Xu, Dong
    • Structural Monitoring and Maintenance
    • /
    • v.7 no.1
    • /
    • pp.43-58
    • /
    • 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.

Analysis of NPS Pollution Loads over Rainfall-Runoff Events from the Silica Mine Site (규사광산 지역의 강우시 비점오염원의 유출분석)

  • Choi, Yong-hun;Won, Chul-hee;Seo, Ji-yeon;Shin, Min-Hwan;Yang, Hee-Jeong;Choi, Joong-dae
    • Journal of Korean Society on Water Environment
    • /
    • v.26 no.3
    • /
    • pp.413-419
    • /
    • 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.

Development and testing of a composite system for bridge health monitoring utilising computer vision and deep learning

  • Lydon, Darragh;Taylor, S.E.;Lydon, Myra;Martinez del Rincon, Jesus;Hester, David
    • Smart Structures and Systems
    • /
    • v.24 no.6
    • /
    • pp.723-732
    • /
    • 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.