• Title/Summary/Keyword: Feed Back

Search Result 651, Processing Time 0.022 seconds

Compact T/R Module Having Improved T/R Isolation Using a Bias Timing Scheme (바이어스 타이밍 기법을 이용하여 송수신 격리도가 개선된 소형 송수신 모듈)

  • Park, Sung-Kyun;Lee, Hai-Young
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
    • /
    • v.23 no.12
    • /
    • pp.1380-1387
    • /
    • 2012
  • The transmit/receive(T/R) module is a key component in the active phased array system. The brick-type T/R module has been widely used and the miniaturization has been an important factor to get the flexibility of the system configuration. For the miniaturization, multi-function chips(MFC) having a common leg configuration are suitable to reduce the number of required MMICs and a high isolation between transmit and receive paths is necessary for the high gain T/R modules. In this work, we propose a bias timing scheme for the compact T/R module and show the optimum timing based on measurements, in order to improve the feed-back path loop problem and the consequent isolation problem of the common leg configuration. We have implemented high power(7 W/channel) and high T/R gain(35 dB transmit and 30 dB receive gains) within the half size($140{\times}80{\times}16mm^3$) of the conventional T/R modules.

Compact 1×2 and 2×2 Dual Polarized Series-Fed Antenna Array for X-Band Airborne Synthetic Aperture Radar Applications

  • Kothapudi, Venkata Kishore;Kumar, Vijay
    • Journal of electromagnetic engineering and science
    • /
    • v.18 no.2
    • /
    • pp.117-128
    • /
    • 2018
  • In this paper, compact linear dual polarized series-fed $1{\times}2$ linear and $2{\times}2$ planar arrays antennas for airborne SAR applications are proposed. The proposed antenna design consists of a square radiating patch that is placed on top of the substrate, a quarter wave transformer and $50-{\Omega}$ matched transformer. Matching between a radiating patch and the $50-{\Omega}$ microstrip line is accomplished through a direct coupled-feed technique with the help of an impedance inverter (${\lambda}/4$ impedance transformer) placed at both horizontal and vertical planes, in the case of the $2{\times}2$ planar array. The overall size for the prototype-1 and prototype-2 fabricated antennas are $1.9305{\times}0.9652{\times}0.05106{{\lambda}_0}^3$ and $1.9305{\times}1.9305{\times}0.05106{{\lambda}_0}^3$, respectively. The fabricated structure has been tested, and the experimental results are similar to the simulated ones. The CST MWS simulated and vector network analyzer measured reflection coefficient ($S_{11}$) results were compared, and they indicate that the proposed antenna prototype-1 yields the impedance bandwidth >140 MHz (9.56-9.72 GHz) defined by $S_{11}$<-10 dB with 1.43%, and $S_{21}$<-25 dB in the case of prototype-2 (9.58-9.74 GHz, $S_{11}$< -10 dB) >140 MHz for all the individual ports. The surface currents and the E- and H-field distributions were studied for a better understanding of the polarization mechanism. The measured results of the proposed dual polarized antenna were in accordance with the simulated analysis and showed good performance of the S-parameters and radiation patterns (co-pol and cross-pol), gain, efficiency, front-to-back ratio, half-power beam width) at the resonant frequency. With these features and its compact size, the proposed antenna will be suitable for X-band airborne synthetic aperture radar applications.

The Study for the CMP Automation wish Nova Measurement system (NOVA System을 이용한 CMP Automation에 관한 연구)

  • 김상용;정헌상;박민우;김창일;장의구
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
    • /
    • 2001.11a
    • /
    • pp.176-180
    • /
    • 2001
  • There are several factors causing re-work in CMP process such as improper polish time calculation by operator, removal rate decline of the polisher, unstable in-suit pad conditioning, slurry supply module problem and wafer carrier rotation inconsistency. And conclusively those fundimental reason for the re-work rate increasement is mainly from the cycle time delay between wafer polish and post measurement. Therefore, Wafer thickness measurement in wet condition could be able to remove those improper process conditions which may happen during the process in comparison with the conventional dried wafer measurement system and it can be able to reduce the CMP process cycle time. CMP scrap reduction by overpolish, re-work rate reduction, thickness control efficiency also can be easily achieved. CMP Equipment manufacturer also trying to develop integrated system which has multi-head & platen, cleaner, pre & post thickness measure and even control the polish time from the calculated removal rate of each polishing head by software. CMP re-work problem such as over & under polish by target thickness may result in the cycle time delay. By reducing those inefficient factors during the process and establish of the automatic process control, CLC system need to be adopted to maximize the process performance. Wafer to Wafer Polish Time Feed Back Control by measuring the wafer right after the polish shorten the polish time calculation for the next wafer and it lead to the perfect Post CMP target thickness control capability. By Monitoring all of the processed the wafer, CMP process will also be stabilize itself.

  • PDF

A Study on the Success Factors of Innovation Cluster: A Case of the Pangyo Techno Valley in South Korea (혁신클러스터의 성공 요인에 관한 연구 : 판교테크노밸리 사례를 중심으로)

  • Chung, Giduk;Im, Jongbin;Chung, Sunyang
    • Journal of Korea Technology Innovation Society
    • /
    • v.20 no.4
    • /
    • pp.970-988
    • /
    • 2017
  • As an innovation cluster has become an important policy tool for attaining regional and national competitiveness, many nations and regions are making great efforts to foster innovation clusters. In the case of Korea also, many innovation clusters have been established and some of them are recently receiving a lot of attention due to their performance. In fact, there have been lots of investment by the central and regional governments. However, there have been no in-depth analyses on Korean successful innovation clusters. This study investigates some of the success factors of a Korean representative innovation cluster, Pangyo Techo Valley. We find out that the Pangyo Techno Valley has four groups of success factors: innovative environment, consistent policy support by regional government, knowledge networks, and good feed-back system of innovation. Our findings would have some theoretical and practical implications for innovation cluster research and policy practice.

Performance Analysis of load simulator interconnected with Power Quality Compensator (전력품질 보상기와 부하모의장치의 연계시험 분석)

  • Bae, Byung-Yeol;Cho, Yun-Ho;Park, Yong-Hee;Han, Byung-Moon
    • The Transactions of the Korean Institute of Power Electronics
    • /
    • v.12 no.1
    • /
    • pp.89-97
    • /
    • 2007
  • This paper describes a load simulator with power recovery capability, which is based on the voltage source converter-inverter set. The load simulator can save the electric energy that should be consumed to test the operation and performance of the power quality compensator and the power equipment. The load simulator consists of a converter-inverter set with a DSP controller for system control and PWM pulse generation. The converter operates as a universal load to model the linear load and the non-linear load, while the inverter feed the energy back to the power source with harmonic compensation. the performance of proposed load simulator was analyzed with scaled-model experiment, interconnected with the active power filter. The experimental results confirms that the proposed load simulator can be utilized to test the performance of active power filter.

Cloth Modeling using Implicit Constraint Enforcement (묵시적 제한방법을 이용한 옷 모델링 방법)

  • Hong, Min;Lee, Seung-Hyun;Park, Doo-Soon
    • Journal of Korea Multimedia Society
    • /
    • v.11 no.4
    • /
    • pp.516-524
    • /
    • 2008
  • This paper presents a new modeling technique for the simulation of cloth specific characteristics with a set of hard constraints using an implicit constraint enforcement scheme. A conventional explicit Baumgarte constraint stabilization method has several defects. It requires users to pick problem-dependent coefficients to achieve fast convergence and has inherent stabilization limits. The proposed implicit constraint enforcement method is stable with large time steps, does not require problem dependent feed-back parameters, and guarantees the natural physics-based motion of an object. In addition, its computational complexity is the same as the explicit Baumgarte method. This paper describes a formulation of implicit constraint enforcement and provides a constraint error analysis. The modeling technique for complex components of cloth such as seams, buttons, sharp creases, wrinkles, and prevention of excessive elongation are explained. Combined with an adaptive constraint activation scheme, the results using the proposed method show the substantial enhancement of the realism of cloth simulations with a corresponding savings in computational cost.

  • PDF

A Sturdy on the Deployment Strategy of Communication Environment for Adopting the International Standards between ITS Center and Roadside Equipment (국제 표준에 부합하는 ITS 센터-노변장치간 통신환경 구축 방안 연구)

  • Lee, Sang-Hyun;Son, Seung-Neo;Cho, Yong-Sung;Lee, Choul-Ki
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.11 no.4
    • /
    • pp.34-50
    • /
    • 2012
  • This study set out to define a communication environment between an ITS center and field device required to be introduced in the nation in order to guarantee the interoperability, compatibility, and global competitiveness of communication between them in the nation. It also aimed to establish technical and policy plans for its introduction, develop an emulator for information exchange, and apply VMS by way of showing an example, thus testing its validity. First, a standard environment for information exchange between an ITS center and field device required to be introduced in the nation was defined as a dual protocol between DATEX and SNMP. The study also proposed a message definition system including meta-attribution definition and OID introduction. The study then suggested technical and policy plans for its introduction including securing enough feasibility with feedback through a model project of standard introduction, offering education and promotions for the standard in advance, providing methods to introduce and systematically manage OID, developing a hardware standard proper for the information exchange standard, and setting up an integrated management system to introduce a dual protocol.

Effective Process Parameters on Shape Dimensional Accuracy in Incremental Sheet Metal Forming (점진성형에서 형상 정밀도에 영향을 미치는 공정 변수)

  • Kang, Jae-Gwan;Jung, Jong-Yun
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.38 no.4
    • /
    • pp.177-183
    • /
    • 2015
  • Incremental sheet metal forming is a manufacturing process to produce thin parts using sheet metals by a series of small incremental deformation. The process rarely needs dedicated dies and molds, thus, preparation time for the process is relatively short as to be compared to conventional metal forming. Spring back in sheet metal working is very common, which causes critical errors in dimensions. Incremental sheet metal forming is not fully investigated yet. Hence, incremental sheet metal forming frequently produces inaccurate parts. This paper proposes a method to minimize dimensional errors to improve shape accuracy of products manufactured by incremental forming. This study conducts experiments using an exclusive incremental forming machine and the material for these experiments are sheets of aluminum AL1015. This research defines a process parameter and selects a few factors for the experiments. The parameters employed in this paper are tool feed rate, tool diameter, step depth, material thickness, forming method, dies applied, and tool path method. In addition, their levels for each factor are determined. The plan of the experiments is designed using orthogonal array $L_8$ ($2^7$) which requires minimum number of experiments. Based on the measurements, dimensional errors are collected both on the tool contacted surfaces and on the non-contacted surfaces. The distances between the formed surfaces and the CAD models are scanned and recorded using a commercial software product. These collected data are statistically analyzed and ANOVAs (analysis of variances) are drawn up. From the ANOVAs, this paper concludes that the process parameters of tool diameter, forming depth, and forming method are the significant factors to reduce the errors on the tool contacted surface. On the other hand, the experimental factors of forming method and dies applied are the significant factors on the non-contacted surface. However, the negative forming method always produces better accuracy than the positive forming method.

A Study of Advertising Model based on Hybrid User Context in Smart Space (융합 상황정보 기반 스마트 환경에서의 광고 모델 연구)

  • Yoon, Yong-Ik;Lee, Su-Ji
    • Journal of the Korea Society of Computer and Information
    • /
    • v.17 no.2
    • /
    • pp.187-195
    • /
    • 2012
  • Smart phone allows advertisers to estimate customers behavior by selecting user context awareness information and gives users instant feed back about their behavior. Electronic equipments such as smart phone enable advertisers to advertise interesting product for each customers at the point of purchase. In this paper, we deal with the trends of Smart phone and internet based TV in the spotlight as the upcoming advertising media and propose the effective way of advertising, Smart Advertising model, which can give users advertising contents of their interesting product by collecting user context information from a variety of devices including N-screen in smart space. This model will induce modern people who live in flood of advertisements to buy products by providing interesting advertising contents.

Artificial neural network for predicting nuclear power plant dynamic behaviors

  • El-Sefy, M.;Yosri, A.;El-Dakhakhni, W.;Nagasaki, S.;Wiebe, L.
    • Nuclear Engineering and Technology
    • /
    • v.53 no.10
    • /
    • pp.3275-3285
    • /
    • 2021
  • A Nuclear Power Plant (NPP) is a complex dynamic system-of-systems with highly nonlinear behaviors. In order to control the plant operation under both normal and abnormal conditions, the different systems in NPPs (e.g., the reactor core components, primary and secondary coolant systems) are usually monitored continuously, resulting in very large amounts of data. This situation makes it possible to integrate relevant qualitative and quantitative knowledge with artificial intelligence techniques to provide faster and more accurate behavior predictions, leading to more rapid decisions, based on actual NPP operation data. Data-driven models (DDM) rely on artificial intelligence to learn autonomously based on patterns in data, and they represent alternatives to physics-based models that typically require significant computational resources and might not fully represent the actual operation conditions of an NPP. In this study, a feed-forward backpropagation artificial neural network (ANN) model was trained to simulate the interaction between the reactor core and the primary and secondary coolant systems in a pressurized water reactor. The transients used for model training included perturbations in reactivity, steam valve coefficient, reactor core inlet temperature, and steam generator inlet temperature. Uncertainties of the plant physical parameters and operating conditions were also incorporated in these transients. Eight training functions were adopted during the training stage to develop the most efficient network. The developed ANN model predictions were subsequently tested successfully considering different new transients. Overall, through prompt prediction of NPP behavior under different transients, the study aims at demonstrating the potential of artificial intelligence to empower rapid emergency response planning and risk mitigation strategies.