• Title/Summary/Keyword: Matching function

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Constraints on the Evolution of the Galaxy Stellar Mass Function I: Role of Star Formation, Mergers and Stellar Stripping

  • Contini, Emanuele
    • The Bulletin of The Korean Astronomical Society
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    • v.42 no.1
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    • pp.29.3-29.3
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    • 2017
  • We study the connection between the observed star formation rate-stellar mass (SFR-M) relation and the evolution of the stellar mass function (SMF) by means of a Subhalo Abundance Matching technique coupled to merger trees extracted from a N-body simulation. Our approach, which considers both galaxy mergers and stellar stripping, is to force the model to match the observed SMF at redshift z>2, and let it evolve down to the present time according to the observed (SFR-M) relation. In this study, we use two different sets of SMFs and two SFR-M relations: a simple power law and a relation with a mass-dependent slope. Our analysis shows that the evolution of the SMF is more consistent with a SFR-M relation with

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A Tuning Algorithm for LQ-PID Controllers using the Combined Time - and Frequency-Domain Control Method

  • Kim, Chang-Hyun;Lee, Ju;Lee, Hyung-Woo
    • Journal of Electrical Engineering and Technology
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    • v.10 no.3
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    • pp.1244-1254
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    • 2015
  • This paper proposes a new method for tuning a linear quadratic - proportional integral derivative controller for second order systems to simultaneously meet the time and frequency domain design specifications. The suitable loop-shape of the controlled system and the desired step response are considered as specifications in the time and frequency domains, respectively. The weighting factors, Q and R of the LQ controller are determined by the algebraic Riccati equation with respect to the limiting behavior and target function matching. Numerical examples show the effectiveness of the proposed LQ-PID tuning method

The Design of A Creative Engineering Robot with MCU Platform (MCU 플랫폼 창의 공학용 로봇 설계)

  • Hong, Seon Hack
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.5 no.4
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    • pp.77-85
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    • 2009
  • In this paper, the implementation of creative engineering robot with MCU platform is described. This robot, as a platform of robot system to be used as creative engineering education, has to satisfy restrictions in many aspects in order to study algorithm and apply for the processor based function and pattern recognition application. Considering many restrictions of the mobile platform for creative robot system, we made this robot autonomous by using efficiently the LINUX embedded system. And we choose Marvell Monahan processor(PXA320) as MCU flatform, and used CentOS5.2 as an embedded OS that has the function of robustness and optimality. For flexibility and modularity, the platform has expansion ports. The results of experiment are described to show the pattern matching of creative engineering mobile robot with LINUX programming environments.

A New Semantic Kernel Function for Online Anomaly Detection of Software

  • Parsa, Saeed;Naree, Somaye Arabi
    • ETRI Journal
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    • v.34 no.2
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    • pp.288-291
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    • 2012
  • In this letter, a new online anomaly detection approach for software systems is proposed. The novelty of the proposed approach is to apply a new semantic kernel function for a support vector machine (SVM) classifier to detect fault-suspicious execution paths at runtime in a reasonable amount of time. The kernel uses a new sequence matching algorithm to measure similarities among program execution paths in a customized feature space whose dimensions represent the largest common subpaths among the execution paths. To increase the precision of the SVM classifier, each common subpath is given weights according to its ability to discern executions as correct or anomalous. Experiment results show that compared with the known kernels, the proposed SVM kernel will improve the time overhead of online anomaly detection by up to 170%, while improving the precision of anomaly alerts by up to 140%.

Determination of Cost Function in Disparity Space Image (변이공간영상에서의 비용 함수의 결정)

  • Park, Jun-Hee;Lee, Byung-Uk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.5C
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    • pp.530-535
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    • 2007
  • Disparity space image (DSI) technique is a method of establishing correspondence between a pair of images. It has a merit of generating a dense disparity map for each pixel. DSI has a cost function to be minimized, and it needs empirical weighting factors for occlusion penalty and match reward. This paper provides theoretical basis for the weighting factors, which depend on image noise and contrast between an object and background.

A Boundary Value Solution For The Lateral Modes Of Stripe Geometry GaAs-(Ga,Al)As Lasers (스트라이프 구조 GaAs-(Ga, Al)As 반도체 레이저의 횡모우드에 대한 경계치 해석)

  • Yoon, Jong-Wook;Yoon, Seok-Beom;Kwon, Jae-Sang;Oh, Han-Sool;Kim, Yung-Kwon
    • Proceedings of the KIEE Conference
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    • 1987.07a
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    • pp.34-37
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    • 1987
  • Theoretical calculations are presented for analying lateral modes of stripe geometry lasers. The solution technique affords a matching between the fields of the active layer and those of the surrounding passive layer. The fields are written as a liner combination of Hermite-Gaussian function. Therefore fields have been described with a single H - G function. The lowest-order mode spreading is calculated and related to the gain distribution.

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Retrieval of Non-rigid 3D Models Based on Approximated Topological Structure and Local Volume

  • Hong, Yiyu;Kim, Jongweon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.8
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    • pp.3950-3964
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    • 2017
  • With the increasing popularity of 3D technology such as 3D printing, 3D modeling, etc., there is a growing need to search for similar models on the internet. Matching non-rigid shapes has become an active research field in computer graphics. In this paper, we present an efficient and effective non-rigid model retrieval method based on topological structure and local volume. The integral geodesic distances are first calculated for each vertex on a mesh to construct the topological structure. Next, each node on the topological structure is assigned a local volume that is calculated using the shape diameter function (SDF). Finally, we utilize the Hungarian algorithm to measure similarity between two non-rigid models. Experimental results on the latest benchmark (SHREC' 15 Non-rigid 3D Shape Retrieval) demonstrate that our method works well compared to the state-of-the-art.

A Study on Korean and English Speaker Recognitions using the Fuzzy Theory (퍼지 이론을 이용한 한국어 및 영어 화자 인식에 관한 연구)

  • 김연숙;김희주;김경재
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.3
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    • pp.49-55
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    • 2002
  • This paper proposes speaker recognition algorithm which includes both the pitch parameter and the fuzzy. This study proposes a pitch detection method for the peak and valley pitch detection function by means of comparing spectra which utilizes the transform characteristics between time and frequency. It measures the similarity to the original spectrum while arbitrarily varying the period in the time domain. It heavily weights the error due to the changing characteristics of the phonemes, while it is strong against noise. In this paper, makes reference pattern using membership function and performs vocal track recognition of common character using fuzzy pattern matching in odor to include time variation width for non-linear utterance time.

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A Study on Korean and Japanese Speaker Recognitions using the Fuzzy Theory (퍼지 이론을 이용한 한국어 및 일어 화자 인식에 관한 연구)

  • 김연숙;김창완
    • Journal of the Korea Society of Computer and Information
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    • v.5 no.3
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    • pp.51-57
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    • 2000
  • This paper proposes speaker recognition algorithm which includes both the pitch and the fuzzy. This study proposes a pitch detection method for the peak and valley pitch detection function by means of comparing spectra which utilizes the transform characteristics between time and frequency. It measures the similarity to the original spectrum while arbitrarily varying the period in the time domain. It heavily weights the error due to the changing characteristics of the phonemes, while it is strong against noise. In this paper, makes reference pattern using membership function and performs vocal track recognition of common character using fuzzy pattern matching in order to include time variation width for non-linear utterance time.

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Dispersion Analysis for Rectangular Coaxial Line and TEM Cell (네모 동축선과 TEM 셀의 분산관계 해석)

  • Cho, Yong-Heui
    • The Journal of the Korea Contents Association
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    • v.7 no.1
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    • pp.124-130
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    • 2007
  • A rectangular coaxial line is mainly utilized as a transition structure from a coaxial line to a rectangular waveguide. A TEM cell is also widely used to measure the EMC characteristics of a DUT. In order to understand the operations of a rectangular coaxial line and a TEM cell, it is essential to analyze the dispersion relations of a rectangular coaxial line and a TEM cell. In this paper, we present simple yet accurate dispersion relations of the TE and TM higher modes based on the TEM mode. Manipulating a mode-matching technique and a Green's function approach allows us to obtain the analytic dispersion equations of a rectangular coaxial line and a TEM cell. In our approach, a rectangular coaxial line is divided into four L-blocks and its electromagnetic fields representations are easily obtained with a superposition. To verify the convergence of our dispersion relations, we perform numerical computations and compare our results with those of FDTD.