• Title/Summary/Keyword: National Control Point

Search Result 1,803, Processing Time 0.037 seconds

Design of Traffic Control Scheme for Supporting the Fairness of Downstream in Ethernet-PON (이더넷 기반 광가입자망에서 공평성 보장을 위한 하향 트래픽 제어 기법 설계)

  • Han Kyeong-Eun;Park Hyuk-Gu;Yoo Kyoung-Min;Kang Byung-Chang;Kim Young-Chon
    • Journal of the Institute of Electronics Engineers of Korea TC
    • /
    • v.43 no.5 s.347
    • /
    • pp.84-93
    • /
    • 2006
  • Ethernet-PON is an emerging access network technology that provides a low-cost method of deploying optical access lines between OLT and ONUs. It has a point-to-multipoint and multipoint-to-point architecture in downstream and upstream direction, respectively. Therefore, downstream packets are broadcast from an OLT toward all ONUs sithout collision. On the other hand, since alt ONUs share a common channel, the collision may be occurred for the upstream transmission. Therefore, earlier efforts on Ethernet-PON have been concentrated on an upstream MAC protocol to avoid collision. But it is needed to control downstream traffic in practical access network, where the network provider limits available bandwidth according to the number of users. In this paper, we propose a traffic control scheme for supporting the fairness of the downstream bandwidth. The objective of this algorithm is to guarantee the fairness of ONUs while maintaining good performance. In order to do this, we define the service probability that considers the past traffic information for downstream, the number of tokens and the relative size of negotiated bandwidth. We develop the simulation model for Ethernet-PON to evaluate the rate-limiting algorithm by using AWESIM. Some results are evaluated and analyzed in terms of defined fairness factor, delay and dropping rate under various scenario.

Application Evaluation of Best Management Practices for Agricultural Non-Point Source Pollution using Delphi Survey Method (전문가 델파이 방법을 이용한 농업 비점오염 저감 기술의 현장 적용성 조사)

  • Kim, Min-Kyeong;Jung, Goo-Bok;Kim, Min-Young;Kim, Myung-Hyun;Cho, Kwang-Jin;Choi, Soon-Kun;Hong, Seong-Chang;So, Kyu-Ho
    • Korean Journal of Environmental Agriculture
    • /
    • v.33 no.2
    • /
    • pp.144-147
    • /
    • 2014
  • BACKGROUND: It is essential to prioritize the exact and clear understanding of agricultural nonpoint source pollution (NPS) controls. The realistic policies and systems should also be developed based on this understanding. Therefore, this study aimed to present agricultural Best Management Practices (BMPs) applicable for the fields based on the Delphi survey result. METHODS AND RESULTS: This study deduced the evaluation items to assess each BMP for agricultural NPS control and conducted the surveying using the Delphi method based on agricultural BMP experts. In addition, its on-the-spot application were evaluated. Considering its importance, technical, social and economic proprieties showed that political support was ranked first and followed by cost investment, labor investment, reduction effect and resident participation. The survey findings by agricultural BMP experts showed the good performance of on-the-spot application can be achieved from fertilization by soil testing, residue and green manure application and contour plowing which are applicable within a field. Agricultural BMPs, highly applicable for the fields, were the countermeasures that farmers who are the principal bodies of agricultural NPS control could be participated directly. CONCLUSION: The active participation of farmers is essential for effective control of agricultural NPS. It is necessary to establish various incentive systems.

Dynamic analysis and control parameters deduction of Hybrid thrust magnetic bearing (하이브리드 스러스트 마그네틱 베어링의 제어변수 도출 및 동특성 해석)

  • Jang, Seok-Myeong;Lee, Un-Ho;Sung, So-Young;Choi, Jang-Young;Kim, Soon-Yong
    • Proceedings of the KIEE Conference
    • /
    • 2009.07a
    • /
    • pp.724_725
    • /
    • 2009
  • This paper deals with control parameters deduction and dynamic analysis of hybrid thrust magnetic bearing(HTMB). The flux density at air-gap is obtained from system modeling which considers permanent magnet and electro magnet. The vertical force is derived from flux density using maxwell's stress tensor. An accurate linear model is obtained by using linear approximations of the attraction force around the nominal equilibrium point. The dynamic simulation of the HTMB using the PD controller is conducted and control parameters are deducted.

  • PDF

A control and measurement system design for 3-axis pressure and 2-axis displacement on tire road interface (타이어 접지면의 3축방향 압력과 평면변위 측정을 위한 제어계측시스템의 설계)

  • Lim, Young-Cheol;Ryoo, Young-Jae;Cho, Gyu-Jong;Kim, Nam-Jeon
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.1 no.1
    • /
    • pp.58-62
    • /
    • 1995
  • Necessarily, it is required to analyze interfacial mechanism between tire and road for understanding tire wear, vehicle tracking and breaking. Therefore, there have been some efforts to measure 3-axis pressure and 2-axis displacement on tire road interface. But it was so hard to couple precisely measuring sensor and desired point on tire tread pattern block that it was impossible to analyze the mechanism on commercial tire with tread pattern. To overcome such a problem, a on-line measurement system is proposed in this paper. And an automatic control system is designed to test the tire with similar configuration of real vehicle driving.

  • PDF

Optimum MPPT Control Period and Perturbation Voltage Analysis for PV Panel based on Real Wether Condition (실제 날씨에 대응한 PV 패널의 최적 MPPT 제어주기와 변량전압 분석)

  • Ryu, Danbi;Kim, Yong-Jung;Kim, Hyosung
    • Proceedings of the KIPE Conference
    • /
    • 2019.07a
    • /
    • pp.216-218
    • /
    • 2019
  • 태양광발전시스템은 최대의 전력을 생산하기 위하여 PV 패널의 운전을 최대전력점에서 동작하게 하는 MPPT(Maximum Power Point Tracking) 제어가 필요하다. 그중 대표적인 방법인 P&O(Perturb and Observe) 알고리즘은 전류와 전압을 측정하여 계산된 전력의 값이 최대가 되는 전압의 운전점을 찾는다. 그러나 센서의 측정오차로 인하여 발전전력의 계산 및 전압의 제어에 불규칙한 오차가 발생하여 정확한 MPP 운전점을 찾지 못하는 문제가 발생한다. 본 논문에서는 전형적인 맑은 날씨와 흐린 날씨에서 취득한 일사량 데이터와 전류 및 전압 센서의 오차를 고려하여 P&O 알고리즘에 의한 전력 생산량을 시뮬레이션 한다. 시뮬레이션 분석을 통해 실제 날씨 및 센서허용오차 조건에서 MPPT 목표 효율을 극대화할 수 있는 최적의 MPPT 제어주기와 변량전압의 크기를 제시한다.

  • PDF

A Study on the Energy Management Control of Hybrid Excavator (하이브리드 굴삭기의 에너지 관리 제어에 관한 연구)

  • Yoo, Bong Soo;Hwang, Cheol Min;Joh, Joongseon
    • Journal of the Korean Society for Precision Engineering
    • /
    • v.29 no.12
    • /
    • pp.1304-1312
    • /
    • 2012
  • According to the successful development of hybrid vehicle, hybridization of construction equipments like excavator, wheel loader, and backhoe etc., is gaining increasing attention. However, hybridization of excavator and commercial vehicle is very different. Therefore a specialized energy management control algorithm for excavator should be developed. In this paper, hybridization of excavators is investigated and a new energy management control algorithm is proposed. Four control parameters, i.e., lower baseline, upper baseline, idling generation speed, and idling generation torque, are newly introduced and a new operating principle using those four control parameters is proposed. The use of Genetic Algorithm for the optimization of the four control parameters from the view point of minimization of fuel consumption for standard excavating operation is suggested. In order to verify the proposed algorithm, dedicated simulation program of hybrid excavator was developed. The proposed algorithm is applied to a specific hydraulic excavator and 20.7% improvement of fuel consumption is achieved.

A Selected Multicast Polling Scheme for IEEE 802.11 Point Coordination Function

  • Lee Sang Don;Cho Chi Woo;Kim Kyung Jun;Kim Hyun Sook;Han Ki Jun
    • Proceedings of the IEEK Conference
    • /
    • 2004.08c
    • /
    • pp.536-539
    • /
    • 2004
  • IEEE 802.11 Point Coordination Function (PCF) mode is defined to support time bounded traffic, such as voice in wireless LANs. The poll scheduling plays an important role in IEEE 802.11 PCF mode operation. This paper proposed a Multicast Polling Scheme (MPC) to increase the performance of wireless LANs. Moreover, we proposed a polling schedule scheme for our proposed multi-poll to serve real-time traffic. The results show that the proposed mechanism is more efficient than the original IEEE 802.11 PCF.

  • PDF

Analysis of Network-RTK(VRS) Positioning Accuracy for Surveying Public Control Point (공공기준점 측량에 적용을 위한 VRS(가상기준점) 방식의 Network-RTK 정확도 분석)

  • Han, Joong-Hee;Kwon, Jay-Hyoun;Hong, Chang-Ki
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.18 no.2
    • /
    • pp.13-20
    • /
    • 2010
  • Currently, NGII(National Geographic Information Institute) provides VRS(Virtual Reference System) service using 44 CORS(Continuously Operating Reference Stations). Since the VRS provides high-precision coordinate in a short time, the users and applications are expected to be rapidly increasing. The accuracy analysis on the VRS service, however, was not sufficiently performed yet. Therefore, in this study, the VRS data is acquired from various circumstances and its accuracy is analyzed. According to analysis, it was concluded that the VRS could be applied to public control point survey. Furthermore, it was found that the PQ(Position Quality) which represents variance of estimated coordinates rather than GDOP(Geometric Dilution of Precision) is more relevant as a factor to determine the accuracy of coordinates. Based on the analysis of data from four manufacturers (TRIMBLE, MAGELLAN, LECIA, TOPCON), it was confirmed that the standard deviations better than 3cm. Therefore, VRS Survey apply to public control point survey.

Methods for Adding Demand Response Capability to a Thermostatically Controlled Load with an Existing On-off Controller

  • Jin, Young Gyu;Yoon, Yong Tae
    • Journal of Electrical Engineering and Technology
    • /
    • v.10 no.3
    • /
    • pp.755-765
    • /
    • 2015
  • A thermostatically controlled load (TCL) can be one of the most appropriate resources for demand response (DR) in a smart grid environment. DR capability can be effectively implemented in a TCL with various intelligent control methods. However, because traditional on-off control is still a commonly used method in a TCL, it is useful to develop a method for adding DR capability to the TCL with an existing on-off controller. As a specific realization of supervisory control for implementing DR capability in the TCL, two methods are proposed - a method involving the changing of a set point and a method involving the paralleling of an identified system without delay. The proposed methods are analyzed through the simulations with an electric heater for different power consumption levels in the on-state. Considerable cost benefit can be achieved with the proposed methods when compared with the case without DR. In addition, the observations suggest that a medium power consumption level, instead of the maximum power, in the on-state should be used for consistently obtaining the cost benefit without severe temperature deviation from the specified temperature range for DR.

Anthropomorphic Animal Face Masking using Deep Convolutional Neural Network based Animal Face Classification

  • Khan, Rafiul Hasan;Lee, Youngsuk;Lee, Suk-Hwan;Kwon, Oh-Jun;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
    • /
    • v.22 no.5
    • /
    • pp.558-572
    • /
    • 2019
  • Anthropomorphism is the attribution of human traits, emotions, or intentions to non-human entities. Anthropomorphic animal face masking is the process by which human characteristics are plotted on the animal kind. In this research, we are proposing a compact system which finds the resemblance between a human face and animal face using Deep Convolutional Neural Network (DCNN) and later applies morphism between them. The whole process is done by firstly finding which animal most resembles the particular human face through a DCNN based animal face classification. And secondly, doing triangulation based morphing between the particular human face and the most resembled animal face. Compared to the conventional manual Control Point Selection system using an animator, we are proposing a Viola-Jones algorithm based Control Point selection process which detects facial features for the human face and takes the Control Points automatically. To initiate our approach, we built our own dataset containing ten thousand animal faces and a fourteen layer DCNN. The simulation results firstly demonstrate that the accuracy of our proposed DCNN architecture outperforms the related methods for the animal face classification. Secondly, the proposed morphing method manages to complete the morphing process with less deformation and without any human assistance.