• Title/Summary/Keyword: Scaling Function

Search Result 338, Processing Time 0.034 seconds

Satellite Link Simulator Development in 100 MHz Bandwidth to Simulate Satellite Communication Environment in the Geostationary Orbit (정지궤도 위성통신 환경모의를 위한 100 MHz 대역폭의 위성링크 시뮬레이터 개발)

  • Lee, Sung-Jae;Kim, Yong-Sun;Han, Tae-Kyun
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.14 no.5
    • /
    • pp.842-849
    • /
    • 2011
  • The transponder simulator designed to simulate the transponder of military satellite communication systems in the geostationary orbit is required to have time delay function, because of 250 ms delay time, when a radio wave transmits the distance of 36,000 km in free space. But, it is very difficult to develop 250 ms time delay device in the transponder simulator of 100 MHz bandwidth, due to unstable operation of FPGA, loss of memory data for the high speed rate signal processing. Up to date, bandwidth of the time delay device is limited to 45 MHz bandwidth. To solve this problem, we propose the new time delay techniques up to 100 MHz bandwidth without data loss. Proposed techniques are the low speed down scaling and high speed up scaling methods to read and write the external memory, and the matrix structure design of FPGA memory to treat data as high speed rate. We developed the satellite link simulator in 100 MHz bandwidth using the proposed new time delay techniques, implemented to the transponder simulator and verified the function of 265 ms time delay device in 100 MHz bandwidth.

A Novel Multi-Channel Hearing Aid Algorithm with SMR(signal-to-masking ratio) Improvement (신호 대 마스킹 비 개선을 통한 다채널 보청 알고리즘)

  • 김헌중;홍민철;차형태
    • The Journal of the Acoustical Society of Korea
    • /
    • v.19 no.8
    • /
    • pp.12-21
    • /
    • 2000
  • In this paper, we propose a novel hearing aid algorithm for sensorinural hearing loss restoration with multi-channel(band) dynamic range compression and psychoacoustics. In this way, we can present a normal perception condition to the impaired listener. The proposed algorithm make loudness scaling function achieve proper loudness level, and analysis masking property for the signal will be perceived to impaired listener, and then, restore normal spectral contrast using SMR(signal-to-masking ratio) defined by distance between the level of each frequency and masking threshold.

  • PDF

Design and Analysis of Fuzzy PID Controller for Control of Nonlinear System (비선형 시스템 제어를 위한 퍼지 PID 제어기의 설계 및 해석)

  • Lee, Chul-Heui;Kim, Sung-Ho
    • Journal of Industrial Technology
    • /
    • v.20 no.B
    • /
    • pp.155-162
    • /
    • 2000
  • Although Fuzzy Logic Controller(FLC) adopted three terms as input gives better performance, FLC is in general composed of two-term control because of the difficulty in the construction of fuzzy rule base. In this paper, a three-term FLC which is similar to PID control but acts as a nonlinear controller is proposed. To reduce the complexity of the rule base design and to increase efficiency. a simplified fuzzy PID control is induced from a hybrid velocity/position type PID algorithm by sharing a common rule base for both fuzzy PI and fuzzy PD parts. It is simple in structure, easy in implementation, and fast in calculation. The phase plane technique is applied to obtain the rule base for fuzzy two-term control and the resultant rule base is Macvicar-Whelan type. And the membership function is a Gaussian function. The frequency response information is used in tuning of the membership functions. Also a tuning strategy for the scaling factors is proposed based on the relationship between PID gain and the scaling factors. Simulation results show better performance and the effectiveness of the proposed method.

  • PDF

Optimization-based Image Watermarking Algorithm Using a Maximum-Likelihood Decoding Scheme in the Complex Wavelet Domain

  • Liu, Jinhua;Rao, Yunbo
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.13 no.1
    • /
    • pp.452-472
    • /
    • 2019
  • Most existing wavelet-based multiplicative watermarking methods are affected by geometric attacks to a certain extent. A serious limitation of wavelet-based multiplicative watermarking is its sensitivity to rotation, scaling, and translation. In this study, we propose an image watermarking method by using dual-tree complex wavelet transform with a multi-objective optimization approach. We embed the watermark information into an image region with a high entropy value via a multiplicative strategy. The major contribution of this work is that the trade-off between imperceptibility and robustness is simply solved by using the multi-objective optimization approach, which applies the watermark error probability and an image quality metric to establish a multi-objective optimization function. In this manner, the optimal embedding factor obtained by solving the multi-objective function effectively controls watermark strength. For watermark decoding, we adopt a maximum likelihood decision criterion. Finally, we evaluate the performance of the proposed method by conducting simulations on benchmark test images. Experiment results demonstrate the imperceptibility of the proposed method and its robustness against various attacks, including additive white Gaussian noise, JPEG compression, scaling, rotation, and combined attacks.

Memory Effect of $In_2O_3$ Quantum Dots and Graphene in $SiO_2$ thin Film

  • Lee, Dong Uk;Sim, Seong Min;So, Joon Sub;Kim, Eun Kyu
    • Proceedings of the Korean Vacuum Society Conference
    • /
    • 2013.08a
    • /
    • pp.240.2-240.2
    • /
    • 2013
  • The device scale of flash memory was confronted with quantum mechanical limitation. The next generation memory device will be required a break-through for the device scaling problem. Especially, graphene is one of important materials to overcome scaling and operation problem for the memory device, because ofthe high carrier mobility, the mechanicalflexibility, the one atomic layer thick and versatile chemistry. We demonstrate the hybrid memory consisted with the metal-oxide quantum dots and the mono-layered graphene which was transferred to $SiO_2$ (5 nm)/Si substrate. The 5-nm thick secondary $SiO_2$ layer was deposited on the mono-layered graphene by using ultra-high vacuum sputtering system which base pressure is about $1{\times}10^{-10}$ Torr. The $In_2O_3$ quantum dots were distributed on the secondary $SiO_2$2 layer after chemical reaction between deposited In layer and polyamic acid layer through soft baking at $125^{\circ}C$ for 30 min and curing process at $400^{\circ}C$ for 1 hr by using the furnace in $N_2$ ambient. The memory devices with the $In_2O_3$ quantum dots on graphene monolayer between $SiO_2$ thin films have demonstrated and evaluated for the application of next generation nonvolatile memory device. We will discuss the electrical properties to understating memory effect related with quantum mechanical transport between the $In_2O_3$ quantum dots and the Fermi level of graphene layer.

  • PDF

Design of Fuzzy Controller with The Automatic Adjustment of Scaling Factors (스케일 계수 자동 조정 퍼지제어기 설계)

  • 이상윤;한성현;신위재
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
    • /
    • 2002.04a
    • /
    • pp.486-490
    • /
    • 2002
  • When the fuzzy controller apply to a real plant, We have not excepted result of a satisfactory control by modeling error and lacking information about an plant. In this case, we have to adjust the scale factors for improvement of the control performance and this method need a lot of time and cost for perform a trial and error. In this paper, we proposed the fuzzy controller with the automatic adjustment of scaling factors. It was improve upon the control performance using a adequate scale factor by fuzzy logic and normalizer. As the results of simulation through the second order plant, we confirmed that the proposed the fuzzy controller within the function of automatic scale get a good response compare with the fuzzy controller within the fixed scale factor.

  • PDF

Multi-Dimentional Scaling Analysis for Interior Space Planning Correponding to Korean Housing Behavior (한국인의 주거의식 행태에 순응하는 실내공간 계획을 위한 다차원 구조적 접근)

  • 이연숙;장순원;안지영
    • Korean Institute of Interior Design Journal
    • /
    • no.1
    • /
    • pp.52-55
    • /
    • 1992
  • The purpose of this study was to suggest the spatial structure among residential behaviors in relation to work space. To find the structure, Multi-Dimensional Scaling analysis was used. Respondents were 349 middle income housewives living in apartments in the area of Caopital region. Data were collected through the questinnaire survey. For the future residential interior design, following points were sugtested. A laundary space neess to be developed independently , being separated from both bathroom and kitchen/dining space. A new area which will give housewives some territoriality and also function as home office needs to be considered. A space configuration which satisfies the organic relationships among laundary behaviors such as washing dying, ironing and folding , needs to be systematically planned, with two adjoining separate zones of wet and dry utility . The present bathroom nees to be more incorporated to the private bedroom rather than to workspace.

  • PDF

About fully Polynomial Approximability of the Generalized Knapsack Problem (일반배낭문제의 완전다항시간근사해법군의 존재조건)

  • 홍성필;박범환
    • Journal of the Korean Operations Research and Management Science Society
    • /
    • v.28 no.4
    • /
    • pp.191-198
    • /
    • 2003
  • The generalized knapsack problem or gknap is the combinatorial optimization problem of optimizing a nonnegative linear function over the integral hull of the intersection of a polynomially separable 0-1 polytope and a knapsack constraint. The knapsack, the restricted shortest path, and the constrained spanning tree problem are a partial list of gknap. More interesting1y, all the problem that are known to have a fully polynomial approximation scheme, or FPTAS are gknap. We establish some necessary and sufficient conditions for a gknap to admit an FPTAS. To do so, we recapture the standard scaling and approximate binary search techniques in the framework of gknap. This also enables us to find a weaker sufficient condition than the strong NP-hardness that a gknap does not have an FPTAS. Finally, we apply the conditions to explore the fully polynomial approximability of the constrained spanning problem whose fully polynomial approximability is still open.

An Application of MDS(Multidimensional Scaling) Methods to the Study of Furniture Usage and Behavior in the Living Room (MDS 분석방법을 이용한 거실의 가구사용행태연구)

  • SungHeuiCho
    • Journal of the Korean housing association
    • /
    • v.1 no.2
    • /
    • pp.1-11
    • /
    • 1990
  • A study of domestic furniture arrangements may reveal the living style relevant to the room as conceived and coded by occupants and the effects of the physical environment on the structure of behavior settings. The purpose of this study was to investigate, through analizing the furniture usage and behavior as a non-reactive and activity oriented behavioral measures, the occupants` domestic habits as a living style using MDS. MDS(multidimensional scaling technique) is a statistical technique for creating a spatial representation of data. It Is a particularly appropriate technique for analizing qualitative data such as the furniture usage and behavior because it takes into account all of the relationships between items. For the MDS analysis, the furniture usage and behavior examined by housing types based on 114 households in Seoul. The result of spatial configuration by MDS has three dimensions : recogn;lion of room function, pattern of room organization, understanding of room meaning. The effect of housing types for dimensions is identical but configuration of furniture items is different.

  • PDF

Multi-Robot Localization based on Distance Mapping (거리매칭에 기반한 다수로봇 위치추정)

  • Je, Hong-Mo;Kim, Jung-Tae;Kim, Dai-Jin
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2007.10c
    • /
    • pp.433-438
    • /
    • 2007
  • This paper presents a distance mapping-based localization method with incomplete data which means partially observed data. We make three contributions. First, we propose the use of Multi Dimensional Scaling (MDS) for multi-robot localization. Second, we formulate the problem to accomodate partial observations common in multi-robot settings. We solve the resulting optimization problem using #Scaling by Majorizing a Complicated function (SMACOF)#, a popular algorithm fur iterative MDS. Third, we not only verify the performance of MDS-based multi-robot localization by computer simulations, but also implement a real world localization of multi-robot team. Using extensive empirical results, we show that the accuracy of the proposed method is almost similar to that of Monte Carlo Localization(MCL).

  • PDF