• Title/Summary/Keyword: vector computer

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A Beamforming Method for a Perturbed Linear Towed Array (비선형 형상 견인 어레이를 위한 빔형성 기법)

  • 김승일;도경철;오원천;윤대희;이충용
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.5
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    • pp.478-484
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    • 2002
  • Linear towed arrays (LTA) have a nonlinear shape due to tow vessel motion, ocean swells and currents. By reasons of nominally linear shape, various towed array shape estimation techniques have been developed since the perturbed shape cause the error in target detection. In this paper,, we propose the beamforming method for the perturbed LTA with simple structure. The proposed method linearizes a nonlinear phase of steering vector with position information measured by two reference sensors. It can be proved using some properties of Markov transition matrix, and iteration number of linearization process is decided by variance of cross phase difference. As a result of computer simulation in the ocean environment, beampattern of the proposed method is almost same with the ideal case in my type of array shape. In the signal-to-noise ratio (SNR) performance simlation, the DOA estimation performance of the proposed beamforming method is evaluated, and the comparison with Bartlett beamformer of the LTA shows that the proposed method can estimate. the spatial characteristic of sources more accuracy.

Design Development for Fashion-Cultural Products using Traditional Tteoksal Patterns (전통 떡살문을 활용한 패션문화상품 디자인 개발)

  • Kim, Ji-Young;Oh, Yun-Jeong
    • The Research Journal of the Costume Culture
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    • v.19 no.5
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    • pp.993-1008
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    • 2011
  • Traditional culture could be a wonderful source of inspiration for creative design. Tteoksal, the stamps used for making decorative patterns on traditional rice-cakes, have been used and passed on to generations to show the emotions of our ancestors. Numerous traditional patterns found in Tteoksal can be used to better understand and transmit tradition in modern ways. The purpose of this study was to develop fashion cultural products with a modern sensibility by understanding the origin, types and characteristics of Tteoksal and its patterns. The method of this study was through considering the proceeding studies and the references published by a specialist and museums having some information about further knowledge on Tteoksal. In line with the aforementioned study, neckties, eco-friendly bags and pouches were developed as fashion goods. Among the Tteoksal's patterns selected were lotus, bats, 樂 letters and complex patterns. Using a computer graphic software program such as Adobe Illustrator CS5, archetypes of patterns were traced as vector graphics, and two design motives were developed in every pattern. The patterns were developed into two types: one was a basic pattern faithful to a basic motive pattern, and the other was a varied type that was changed and applied. The fashion products were developed as two styles for basic and varied patterns for neckties, eco-friendly bags and pouch items. Twelve products were made for each pattern, which totals 48 unique products. In conclusion, the study could be a critical step to better understand the traditional culture and its influence to the patterns applied to modern fashion design.

Codebook-Based Foreground-Background Segmentation with Background Model Updating (배경 모델 갱신을 통한 코드북 기반의 전배경 분할)

  • Jung, Jae-young
    • Journal of Digital Contents Society
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    • v.17 no.5
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    • pp.375-381
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    • 2016
  • Recently, a foreground-background segmentation using codebook model has been researched actively. The codebook is created one for each pixel in the image. The codewords are vector-quantized representative values of same positional training samples from the input image sequences. The training is necessary for a long time in the most of codebook-based algorithms. In this paper, the initial codebook model is generated simply using median operation with several image frames. The initial codebook is updated to adapt the dynamic changes of backgrounds based on the frequencies of codewords that matched to input pixel during the detection process. We implemented the proposed algorithm in the environment of visual c++ with opencv 3.0, and tested to some of the public video sequences from PETS2009. The test sequences contain the various scenarios including quasi-periodic motion images, loitering objects in the local area for a short time, etc. The experimental results show that the proposed algorithm has good performance compared to the GMM algorithm and standard codebook algorithm.

An User-Friendly Method of Image Warping for Traffic Monitoring System (실시간 교통상황 모니터링 시스템을 위한 유저 친화적인 영상 변형 방법)

  • Yi, Chuho;Cho, Jungwon
    • Journal of Digital Convergence
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    • v.14 no.12
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    • pp.231-236
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    • 2016
  • Currently, a traffic monitoring service using a surveillance camera is provided through internet. In general, if the user points a certain location on a map, then this service shows the real-time image of the camera where it is mounted. In this paper, we proposed the intuitive surveillance monitoring system which displays a real-time camera image on the map by warping with bird's-eye view and with the top of image as the north. In order to robustly estimate the road plane using camera image, we used the motion vectors which can be detected to changes in brightness. We applied a re-adjustment process to have the same directivity with a map and presented a user-friendly interface that can be displayed on the map. In the experiment, the proposed method was presented as the result of warping image that the user can easily perceive like a map.

Comparative Evaluation of User Similarity Weight for Improving Prediction Accuracy in Personalized Recommender System (개인화 추천 시스템의 예측 정확도 향상을 위한 사용자 유사도 가중치에 대한 비교 평가)

  • Jung Kyung-Yong;Lee Jung-Hyun
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.42 no.6
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    • pp.63-74
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    • 2005
  • In Electronic Commerce, the latest most of the personalized recommender systems have applied to the collaborative filtering technique. This method calculates the weight of similarity among users who have a similar preference degree in order to predict and recommend the item which hits to propensity of users. In this case, we commonly use Pearson Correlation Coefficient. However, this method is feasible to calculate a correlation if only there are the items that two users evaluated a preference degree in common. Accordingly, the accuracy of prediction falls. The weight of similarity can affect not only the case which predicts the item which hits to propensity of users, but also the performance of the personalized recommender system. In this study, we verify the improvement of the prediction accuracy through an experiment after observing the rule of the weight of similarity applying Vector similarity, Entropy, Inverse user frequency, and Default voting of Information Retrieval field. The result shows that the method combining the weight of similarity using the Entropy with Default voting got the most efficient performance.

Channel Estimation Based on LMS Algorithm for MIMO-OFDM System (MIMO-OFDM을 위한 LMS 알고리즘 기반의 채널추정)

  • Hwang, Suk-Seung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.6
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    • pp.1455-1461
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    • 2012
  • MIMO-OFDM which is one of core techniques for the high-speed mobile communication system requires the efficient channel estimation method with low estimation error and computational complexity, for accurately receiving data. In this paper, we propose a channel estimation algorithm with low channel estimation error comparing with LS which is primarily employed to the MIMO-OFDM system, and with low computational complexity comparing with MMSE. The proposed algorithm estimates channel vectors based on the LMS adaptive algorithm in the time domain, and the estimated channel vector is sent to the detector after FFT. We also suggest a preamble architecture for the proposed MIMO-OFDM channel estimation algorithm. The computer simulation example is provided to illustrate the performance of the proposed algorithm.

Automatic Response and Conceptual Browsing of Internet FAQs Using Self-Organizing Maps (자기구성 지도를 이용한 인터넷 FAQ의 자동응답 및 개념적 브라우징)

  • Ahn, Joon-Hyun;Ryu, Jung-Won;Cho, Sung-Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.5
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    • pp.432-441
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    • 2002
  • Though many services offer useful information on internet, computer users are not so familiar with such services that they need an assistant system to use the services easily In the case of web sites, for example, the operators answer the users e-mail questions, but the increasing number of users makes it hard to answer the questions efficiently. In this paper, we propose an assistant system which responds to the users questions automatically and helps them browse the Hanmail Net FAQ (Frequently Asked Question) conceptually. This system uses two-level self-organizing map (SOM): the keyword clustering SOM and document classification SOM. The keyword clustering SOM reduces a variable length question to a normalized vector and the document classification SOM classifies the question into an answer class. Experiments on the 2,206 e-mail question data collected for a month from the Hanmail net show that this system is able to find the correct answers with the recognition rate of 95% and also the browsing based on the map is conceptual and efficient.

A Practical Method for Efficient Extraction of the Rotational Part of Dynamic Deformation (동적 변형의 회전 성분을 효율적으로 추출하기 위한 실용적 방법)

  • Choi, Min Gyu
    • Journal of Korea Game Society
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    • v.18 no.1
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    • pp.125-134
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    • 2018
  • This paper presents a practical method to efficiently extract the rotational part of a $3{\times}3$ matrix that changes continuously in time. This is the key technique in the corotational FEM and the shape matching deformation popular in physics-based dynamic deformation. Recently, in contrast to the traditional polar decomposition methods independent of time, an iterative method was proposed that formulates the rotation extraction in a physics-based way and exploits an incremental representation of rotation. We develop an optimization method that reduces the number of iterations under the assumption that the maximum magnitude of the incremental rotation vector is limited within ${\pi}/2$. Realistic simulation of dynamic deformation employs a sufficiently small time step, and thus this assumption is not problematic in practice. We demonstrate the efficiency and practicality of our method in various experiments.

A Point Navigation Guidance Law for Unmanned Helicopter Using Predicted Position (위치 예측에 기반한 무인헬기 점항법 유도법칙 개발)

  • Kim, Seong-Pil;Lee, Jang-Ho;Kim, Bong-Ju;Gwon, Hyeong-Jun;Kim, Eung-Tae;An, Lee-Gi
    • Aerospace Engineering and Technology
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    • v.5 no.2
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    • pp.1-7
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    • 2006
  • This paper presents a new point navigation guidance law which is useful for unmanned helicopters. Predicting the future position, the guidance law generates velocity and heading commands, which are used as input to autopilot. This method differs from conventional guidance law in that it reorients the direction of flight velocity vector directly, not by bank angle indirectly. For flight tests, we have developed a flight control system for a R/C helicopters. The system consists of a flight control computer, navigation sensors, and a ground station The results of the test show that the proposed law guides a unmanned helicopter along a line path within a given area. In the future, we are planning to extend the guidance law to the mission of path following. i.e., waypoint navigation.

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Performance Improvement of Efficient Routing Protocol Based on Small End-to-End Sequence Numbers (작은 종단연결 순차번호를 이용한 효율적인 라우팅 프로토콜의 성능향상)

  • Kim, Jang-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.7
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    • pp.1565-1570
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    • 2014
  • In networking communication, nodes and base station send data to each nodes and destination nodes. In this perspective, it is very important to determine the direction in which data sent to each nodes or destination nodes. Ad-hoc routing protocol is a standard routing protocol that determines how the packets sent to destination. Ad-hoc routing protocol includes protocols such as Ad-hoc On-demand Distance Vector (AODV) and Dynamic Source Routing (DSR). In our efficient proposed protocol based on small end-to-end sequence numbers, route direction can be changed properly with the assistance of helper nodes. In this paper, we focus on the simulation analysis of proposed protocol and comparison with other routing protocol models such as AODV and DSR. We simulated using Network Simulator (NS-2) by parameters such as simulation time, number of nodes and packet size based on our metrics (packet delivery fraction, routing load, data throughput). Our proposed protocol based on small end-to-end sequence numbers shows better performance and superior to other two protocols.