• Title/Summary/Keyword: Operation layer

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Comparison of Heat Insulation Characteristics of Multi-layer Thermal Screen and Development of Curtain System (다겹보온자재의 보온성 비교 및 커튼개폐장치 개발)

  • Lee, Si-Young;Kim, Hark-Joo;Chun, Hee;Yum, Sung-Hyun;Lee, Hyun-Joo
    • Journal of Bio-Environment Control
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    • v.16 no.2
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    • pp.89-95
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    • 2007
  • This study was accomplished to compare energy saving effects of several heat insulation materials in greenhouse and to develop new automatic opening and closing equipment which is suitable to the most effective heat insulation material. To find out more effective heat insulation material, the magnitude of heat transfer occurred through aluminum screen (ALS), non-woven fabric (NWF), double-layer aluminum screen with chemical cotton sheet (DAL), and multi-layer fabric screen material quilted with non-woven fabric, chemical cotton, poly foam, and polypropylene (MLF) were compared relatively. The results showed that the relative magnitude of heat transfer occurred through MLF was lower than DAL and ALS by 23.3% and 43.0% respectively. MLF screen material was the most effective compared with other heat insulation materials. But because of thickness, there was a need of new mechanism for automatic operation in greenhouse. Accordingly, new screen system using MLF-thick but profitable for keeping warm in greenhouse-was developed. Opening & closing equipment was designed to roll MLF with pipe axis during opening process and pull MLF with string during closing process with electric motors, clutches, drums, and so on. In hot pepper cultivation and energy saving test during winter time, the early stage yield of pepper under MLF screen system was higher than NWF by 27%, and gasoline consumption of MLF screen system was lower than NWF by 46%.

IoT Middleware for Effective Operation in Heterogeneous Things (이기종 사물들의 효과적 동작을 위한 사물인터넷 미들웨어)

  • Jeon, Soobin;Han, Youngtak;Lee, Chungshan;Seo, Dongmahn;Jung, Inbum
    • KIISE Transactions on Computing Practices
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    • v.23 no.9
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    • pp.517-534
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    • 2017
  • This paper proposes an Internet of Things (IoT) middleware called Middleware for Cooperative Interaction of Things (MinT). MinT supports a fully distributed IoT environment in which IoT devices directly connect to peripheral devices, easily constructing a local or global network and sharing their data in an energy efficient manner. MinT provides a sensor abstract layer, a system layer and an interaction layer. These layers enable integrated sensing device operations, efficient resource management, and interconnection between peripheral IoT devices. In addition, MinT provides a high-level API, allowing easy development of IoT devices by developers. We aim to enhance the energy efficiency and performance of IoT devices through the performance improvements offered by MinT resource management and request processing. The experimental results show that the average request rate increased by 25% compared to existing middlewares, average response times decreased by 90% when resource management was used, and power consumption decreased by up to 68%. Finally, the proposed platform can reduce the latency and power consumption of IoT devices.

Gyroscope Signal Denoising of Ship's Autopilot using Kalman Filter and Multi-Layer Perceptron (칼만필터와 다층퍼셉트론을 이용한 선박 오토파일럿의 자이로스코프 신호 잡음제거)

  • Kim, Min-Kyu;Kim, Jong-Hwa;Yang, Hyun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.6
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    • pp.809-818
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    • 2019
  • Since January 1, 2020, the International Maritime Organization (IMO) has put in place strong regulations to reduce air pollution caused by ships by lowing the upper limit of ship fuel oil sulfur content from 3.5% to 0.5% for ships passing through all sea areas around the world. Although it is important to reduce air pollutants by using fuel oil with low sulfur content, reducing the amount of energy waste through the economic operation of a ship can also help reduce air pollutants. Ships can follow designated routes accurately even under the influence of noise using autopilot systems. However, regardless of their quality, the performance of these systems is af ected by noise; heading angles with added measurement noise from the gyroscope are input into the autopilot system and degrade its performance. A technique to solve these problems reduces noise effects through the application of a Kalman filter, which is widely used in condition estimation. This method, however, cannot completely eliminate the effects of noise. Therefore, to further improve noise removal performances, in this study we propose a better denoising method than the Kalman filter technique by applying a multi-layer perceptron (MLP) in forward direction motion and a Kalman Filter in rotation motion. Simulations show that the proposed method improves forward direction motion by preventing the malfunction of a rudder more so than merely using a Kalman Filter.

An Iterative Data-Flow Optimal Scheduling Algorithm based on Genetic Algorithm for High-Performance Multiprocessor (고성능 멀티프로세서를 위한 유전 알고리즘 기반의 반복 데이터흐름 최적화 스케줄링 알고리즘)

  • Chang, Jeong-Uk;Lin, Chi-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.6
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    • pp.115-121
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    • 2015
  • In this paper, we proposed an iterative data-flow optimal scheduling algorithm based on genetic algorithm for high-performance multiprocessor. The basic hardware model can be extended to include detailed features of the multiprocessor architecture. This is illustrated by implementing a hardware model that requires routing the data transfers over a communication network with a limited capacity. The scheduling method consists of three layers. In the top layer a genetic algorithm takes care of the optimization. It generates different permutations of operations, that are passed on to the middle layer. The global scheduling makes the main scheduling decisions based on a permutation of operations. Details of the hardware model are not considered in this layer. This is done in the bottom layer by the black-box scheduling. It completes the scheduling of an operation and ensures that the detailed hardware model is obeyed. Both scheduling method can insert cycles in the schedule to ensure that a valid schedule is always found quickly. In order to test the performance of the scheduling method, the results of benchmark of the five filters show that the scheduling method is able to find good quality schedules in reasonable time.

Fast Delineation of the Depth to Bedrock using the GRM during the Seismic Refaction Survey in Cheongju Granite Area (굴절법 탄성파탐사 현장에서 GRM을 이용한 청주화강암지역 기반암 깊이의 신속한 추정)

  • Lee, Sun-Joong;Kim, Ji-Soo;Lee, Cheol-Hee;Moon, Yoon-Sup
    • Economic and Environmental Geology
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    • v.43 no.6
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    • pp.615-623
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    • 2010
  • Seismic refraction survey is a geophysical method that delineates subsurface velocity structure using direct wave and critically refracted wave. The generalized reciprocal method(GRM) is an inversion technique which uses travel-time data from several forward and reverse shots and which can provide the geometry of irregular inclined refractors and structures underlain by hidden layer such as low velocity zone and thin layer. In this study, a simple Excel-GRM routine was tested for fast mapping of the interface between weathering layer and bedrock during the survey, with employing a pair of forward and reverse shots. This routine was proved to control the maximum dip of approximately $30^{\circ}C$ and maximum velocity contrast of 0.6, based on the panel tests in terms of dipping angle and velocity contrast for the two-layer inclined models. In contrast with conventional operation of five to seven shots with sufficient offset distance and indoor data analysis thereafter, this routine was performed in the field shortly after data acquisition. Depth to the bedrock provided by Excel-GRM, during the field survey for Cheongju granite area, correlates well with the elevation of the surface of soft rock from the drill core and SPS logging data. This cost-effective routine developed for quickly delineating the bedrock surface in the field survey will be readily applicable to mapping of weathering zone in narrow zone with small variation of elevation of bedrock.

A Study on the Implementation of an All-IP Train Communication Network Using Plastic Optical Fiber (플라스틱 광섬유를 이용한 All-IP 열차통신네트워크 구현에 관한 연구)

  • Kim, Dongha;Lee, Soyoung;Choi, Kyuhyong
    • Journal of the Korean Society for Railway
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    • v.16 no.3
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    • pp.189-195
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    • 2013
  • Recent trains have broadband train communication networks to improve train operation safety and to provide passengers with multimedia services. Compared to glass optical fiber, plastic optical fiber (POF) has a large diameter; it also provides the good durability and maintainability necessary to railway applications. This paper suggests an All-IP broadband train communication network that connects all devices in the train through a POF interface. Performance tests according to Korean railroad standards shows that this POF interface is usable in the range of vibration and temperature conditions encountered in trains. A dedicated Layer-2 switch with the POF interface is developed for the construction of the All-IP train communication network. A prototype 1Gbps train communication network was set up in a trial-run of train on a metro line using the developed Layer-2 switch and POF. On-track tests indicated the feasibility of the POF train communication network. POF has an additional advantage of economic feasibility, and it is expected to start a trend toward broadband train communication networks using POF.

Improvement of multi layer perceptron performance using combination of adaptive moments and improved harmony search for prediction of Daecheong Dam inflow (대청댐 유입량 예측을 위한 Adaptive Moments와 Improved Harmony Search의 결합을 이용한 다층퍼셉트론 성능향상)

  • Lee, Won Jin;Lee, Eui Hoon
    • Journal of Korea Water Resources Association
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    • v.56 no.1
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    • pp.63-74
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    • 2023
  • High-reliability prediction of dam inflow is necessary for efficient dam operation. Recently, studies were conducted to predict the inflow of dams using Multi Layer Perceptron (MLP). Existing studies used the Gradient Descent (GD)-based optimizer as the optimizer among MLP operators to find the optimal correlation between data. However, the GD-based optimizers have disadvantages in that the prediction performance is deteriorated due to the possibility of convergence to the local optimal value and the absence of storage space. This study improved the shortcomings of the GD-based optimizer by developing Adaptive moments combined with Improved Harmony Search (AdamIHS), which combines Adaptive moments among GD-based optimizers and Improved Harmony Search (IHS). In order to evaluate the learning and prediction performance of MLP using AdamIHS, Daecheong Dam inflow was learned and predicted and compared with the learning and prediction performance of MLP using GD-based optimizer. Comparing the learning results, the Mean Squared Error (MSE) of MLP, which is 5 hidden layers using AdamIHS, was the lowest at 11,577. Comparing the prediction results, the average MSE of MLP, which is one hidden layer using AdamIHS, was the lowest at 413,262. Using AdamIHS developed in this study, it will be possible to show improved prediction performance in various fields.

Development of AHP-based Aviation Logistics MPE Company's Production Management Job Training (AHP 기반 항공물류 소부장 전문기업의 생산관리 직무교육 개발 방안)

  • Lee, Dong-Bae;Park, Doo-Jin
    • Journal of Korea Port Economic Association
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    • v.40 no.2
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    • pp.191-204
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    • 2024
  • In this study, AHP-based production management job training was developed for MPE companies in the aviation logistics industry. The AHP model was designed with upper and lower classes. Purchase management competency, material management competency, process management competency, and SCM competency were selected as factors of the upper class of production management job training. Lower class evaluation factors were selected for each upper class. As a result of AHP analysis, the relative importance of the upper class evaluation factors was found in the order of SCM competency (0.322), process management competency (0.314), material management competency (0.201), and purchase management competency (0.163). Among the upper classes, it was analyzed that the importance of SCM competency and process management competency was high. The final priority of evaluation factors for the development of the production management curriculum of MPE companies in the aviation logistics industry was analyzed as follows. First, supply chain performance management, which is the lower layer of SCM competency, was analyzed as the top priority factor, and the priorities of evaluation factors were derived such as facility preservation management, which is the lower layer of SCM competency, supply chain production operation, which is the lower layer of SCM competency, process quality management, which is the lower layer of SCM competency, supply chain transportation management, and supply chain supply plan, which are the lower layers of SCM competency

Changes in the Luminal Surface of the PTFE Graft used in Systemic- pulmonary Shunt Operation (체폐단락술에 사용되었던 PTFE 인조혈관 내면의 변화)

  • Park, Yeong-Hwan;Jang, Byeong-Cheol;Sin, Dong-Hwan;Jo, Beom-Gu
    • Journal of Chest Surgery
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    • v.29 no.8
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    • pp.836-843
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    • 1996
  • Histologic, and scanning electron microscopic observa ions were made of 12 biopsy specimens from polytetrdiluoroethylene (PTFE) grafts that had been Implanted as systemic-pulmonAry shunt for improving oxygenation of cyanotic congenital heart disease and harvested near the end of pulmonary artery side at the time of redo shunt or tonal correction between 1985 and 1992. The types of shunt operation are modified Blalock-Taussig shunt in 10 cases, Waterston-Cooley shunt in 1 And Potts shunt in 1 case. The 5 mm PTFE graft was used In 10, 4mm in 1 and 6mm in 1 case. The mean duration of implantalion was 0 $\pm$ 14.1 months(rl.on 12 months to 55 months). The plAtelets were aggregated between gaps'of Coretex surface and intimal thickening was noted about 10 to 20 months after implantation. Endothelial cells were found in the 40-months patent PTFE graft by light and scanning electron microscopy. In the specimen of poor flow or zero flow graft, severe intimal hyperplasia and thrombi which was made of platelets were noted . Based on this experience, we think that the patency will be maintained well if the connective tissue could be Hxed firmly over the Inner layer of the Goretex and the endothelial cell layer sllould form over the con- nective tissue and platelet aggregation should be prevented.

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Mixing Analysis of Oil Spilled into the River by GPS-equipped Drifter Experiment and Numerical Modeling (GPS 부자 실험과 수치모델링에 의한 하천에 유입된 유류오염물질의 거동 해석)

  • Jang, Juhyoung;Jong, Jaehun;Mun, Hyunsaing;Kim, Kyunghyun;Seo, Ilwon
    • Journal of Korean Society on Water Environment
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    • v.32 no.3
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    • pp.243-252
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    • 2016
  • In cases of water pollution accidents, accurate prediction for arrival time and concentration of contaminants in a river is essential to take proper measures and minimize their impact on downstream water intake facilities. It is critical to fully understand the behavior characteristics of contaminants on river surface, especially in case of oil spill accidents. Therefore, in this study, the effects of main parameters of advection and diffusion of contaminants were analyzed and validated by comparing the results of Lagrangian particle tracking (LPT) simulation of Environmental Fluid Dynamic Code (EFDC) model with those of Global Position System (GPS)-equipped drifter experiment. Prevention scenario modeling was accomplished by taking cases of movable weir operation into account. The simulated water level and flow velocity fluctuations agreed well with observations. There was no significant difference in the speed of surface particle movement between 5 and 10 layer modeling. Therefore, 5 layer modeling could be chosen to reduce computational time. It was found that full three dimensional modeling simulated wind effects on surface particle movements more sensitively than depth-averaged two dimensional modeling. The diffusion range of particles was linearly proportional to horizontal diffusivity by sensitivity analysis. Horizontal diffusivity estimated from the results of GPS-equipped drifter experiment was 0.096 m2/sec, which was considered to be valid for applying the LPT module in this area. Finally, the scenario analysis results showed that particle movements could be stagnant when discharge from the upstream weir was reduced, implying the possibility of securing time for mitigation actions such as oil boom installation and wiping oil contaminants. The outcomes of this study can help improve the prediction accuracy of particle tracking simulation to establish the most suitable mitigation plan considering the combination of movable weir operation.