• Title/Summary/Keyword: binary vector

Search Result 373, Processing Time 0.023 seconds

An online Calibration Algorithm using binary spreading code for the CDMA-based Adaptive Antenna Array

  • Lee, Chong-Hyun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.20 no.9
    • /
    • pp.32-39
    • /
    • 2006
  • In this paper, an iterative subspace-based calibration algorithm for a CDMA-based antenna array in the presence of unknown gain and phase error is presented. The algorithm does not depend on the array geometry and does not require a prior knowledge of the Directions Of Arrival (DOA) of the signals. The method requires the code sequence of a reference user only. The proposed algorithm is based on the subspace method and root finding approach, and it provides estimates of the calibration vector, the DOA and the channel impulse response, by using the code sequence of a reference user. The performance of the proposed algorithm was investigated by means of computer simulations and was verified using field data measured through a custom-built W-CDMA test-bed. The data show that experimental results match well with the theoretical calibration algorithm. Also, teh study propose an efficient algorithm using the simulated annealing technique. This algorithm overcomes the requirement of initial guessing in the subspace-based approach.

Development of Transgenic Orchardgrass (Dactylis glomerata L.) Using Agrobacterium tumefaciens

  • Lee, Hyoshin;Lee, Byung-Hyun;Jinki Jo
    • Journal of The Korean Society of Grassland and Forage Science
    • /
    • v.20 no.2
    • /
    • pp.103-108
    • /
    • 2000
  • To produce of transgenic orchardgrass, the seed-derived calli of orchardgrass (Dactylis glomerata L.) co-cultivated with Agrobacterium turnefaciens EHAlOl harboring binary vector pIG121-Hm were selected with hygromycin and then transferred onto N6 regeneration medium containing 1 rngl l of NAA, 5 rngl l of kinetin, 250 rngl l of carbenicillin and 50 mg/ l of hygromycin. The efficiency of transformation was differed on cultivars, that is, 'Potomac' appeared 12% of transformation efficiency while 'Amba' did 5.5%. The addition of acetosyringone during co-cultivation was a key to successhl transformation of orchardgrass. Transgene fragments were identified by PCR analysis and the constitutive expression of GUS gene was confirmed by Northern blot analysis. (Key words : Acetosyringone, Agrobacterium tumefaciens, Orchardgrass (Dactylis glomerata L.), Transformation)

  • PDF

Expression of Modified Green Fluorescent Protein in Suspension Culture of Taxus cuspidata

  • Kim, Chang-Heon;Kim, Kyung-Il;Chung, In-Sik
    • Journal of Microbiology and Biotechnology
    • /
    • v.10 no.1
    • /
    • pp.91-94
    • /
    • 2000
  • The suspension cells of Taxus cuspidata were transformed with Agrobacterium tumefaciens harboring binary vector pCAMBIE1302 encoding mgfp. Transient transfection efficiency was compared by using the fluoremetric measurement. The transient transfection efficiency was improved by transformation with DMSO and/or sonication treatment. Optimum conditions for DMSO and sonication treatment were 3% and 30sec, respectively. selection and maintenance of transformed cells were continued for 3 months. An insertion of the mgfp gene in transformed cells was detected by PCR and an expression of GFP confirmed by the western blot analysis.

  • PDF

The Pragmatics of Automatic Query Expansion Based on Search Results of Natural Language Queries (탐색결과에 근거한 자연어질의 자동확장 및 응용에 관한 연구 고찰)

  • 노정순
    • Journal of the Korean Society for information Management
    • /
    • v.16 no.2
    • /
    • pp.49-80
    • /
    • 1999
  • This study analyses the researches on automatic query modification, expansion and combination based on search results of natural language queries and gives a conceptual framework for the factors affecting the effectiveness of the relevance feedback. The operating and experimental systems based on the vector space model, the binary independence model and the inference net model are reviewed, and it is found that the effectiveness of query expansion is affected by conceptual models, algorithms for weighting terms and documents and selecting query terms to be added, size of relevant and non-relevant documents to be used and size of terms to be added in relevance feedback, query length, type and size of DBs, etc.

  • PDF

Interactive Multimedia Language for Mobile Media Player (모바일 미디어 플레이어를 위한 대화형 멀티미디어 언어)

  • Kim, Mi-Ha;Ryu, Eun-Suk;Jeong, Jin-Hwan;Yoo, Hyuck
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2003.11a
    • /
    • pp.19-22
    • /
    • 2003
  • 빨라진 프로세서와 충분한 메모리로 인하여 MPEG-1 MPEG-4 등의 동영상 표준을 기반으로 한 컨텐츠를 PDA 와 같은 모바일 단말기에서 단순히 플레이 시키는 일은 더 이상 문제가 되지 않는다. 이제는 사용자가 자신의 단말기에서 미디어를 감상하는 차원을 넘어서 사용자가 참여 할 수 있는 다양한 컨텐츠를 원한다. 이에 이 논문에서는 SMIL2.0 을 기반으로 하는 대화형 멀티미디어 언어를 연구하고, 여기에 벡터 그래픽스(Vector Graphics)를 추가 시켰다. 또한, 트랜스래이터(Translator)를 구현하여 markup language 를 바이너리 포맷(Binary format)으로 변환시킴으로써 좀 더 모바일 환경에 적합하도록 하였다. 본 논문에서 연구한 대화형 멀티 미디어 언어를 이용하여 대화형 미디어 컨텐츠를 제작하고 자체적으로 제작한 PDA 용 통합 미디어 플레이어에서 재생시킴으로써 대화형 멀티미디어 언어를 이용한 무선 환경에서 다양한 서비스의 가능성을 제시하여 준다.

  • PDF

Malay Syllables Speech Recognition Using Hybrid Neural Network

  • Ahmad, Abdul Manan;Eng, Goh Kia
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2005.06a
    • /
    • pp.287-289
    • /
    • 2005
  • This paper presents a hybrid neural network system which used a Self-Organizing Map and Multilayer Perceptron for the problem of Malay syllables speech recognition. The novel idea in this system is the usage of a two-dimension Self-organizing feature map as a sequential mapping function which transform the phonetic similarities or acoustic vector sequences of the speech frame into trajectories in a square matrix where elements take on binary values. This property simplifies the classification task. An MLP is then used to classify the trajectories that each syllable in the vocabulary corresponds to. The system performance was evaluated for recognition of 15 Malay common syllables. The overall performance of the recognizer showed to be 91.8%.

  • PDF

A Study on Variable Block Matching Algorithm Using Edge Information of Differential Image (차영상의 윤곽정보를 이용한 가변 블록 정합 알고리즘에 관한 연구)

  • 권병헌;안정길;황병원
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.19 no.4
    • /
    • pp.639-648
    • /
    • 1994
  • This paper presents a new block matching algorithm in estimation of motion information that is important technology in compressing interframe. In estimation of motion information, we find differential image using two successive frame image in order to find required real time processing and accurate moving vector, the binary image is made of edge and find more accurate moving vectors by application quadtree method to parts including many moving according to this activity. The computer simulation results show that increased PSNR and reduced computation time.

  • PDF

Genetic-Fuzzy Controller for Induction Motor Speed Control (유도전동기의 속도제어를 위한 유전-퍼지 제어기)

  • Kwon, Tae-Seok;Kim, Chang-Sun;Kim, Young-Tae;Oh, Won-Seok;Sin, Tae-Hyun;Kim, Hee-Jun
    • Proceedings of the KIEE Conference
    • /
    • 1999.07f
    • /
    • pp.2742-2744
    • /
    • 1999
  • In this paper, an auto-tuning method for fuzzy logic controller based on the genetic algorithm is presented. In the proposed method, normalization parameters and membership function parameters of fuzzy controller are translated into binary bit-strings, which are processed by the genetic algorithm in order to be optimized for the well-chosen objective function (i.e. fitness function). To examine the validity of the proposed method. a genetic algorithm based fuzzy controller for an indirect vector control of induction motors is simulated and experiment is carried out. The simulation and experimental results show a significant enhancement in shortening development time and improving system performance over a traditional manually tuned fuzzy logic controller.

  • PDF

Development of a reduced-order distillation model and real-time tuning using the extended kalmen filter (증류공정 차수감소 모델의 개발 extended kalmen filter에 의한 실시간대에서의 조정)

  • 정재익;최상열;이광순
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 1988.10a
    • /
    • pp.466-470
    • /
    • 1988
  • A tunable reduced-order distillation model is proposed for real-time applications. To develop the model, a binary distillation column with MaCabe-Thiele assumptions was considered first and then the governing equations for the column were reduced to a simplified vector differential equations using the collocation method combined with cubic spline interpolation function. The final reduced-order model has four tuning parameters, relative volatilities and liquid holdups for rectifying and stripping sections, respectively. To assess the applicability of the developed model,the real-time adjustment of the model was tried by recursively updating the tuning parameters using the BKF algorithm. As a result, it was found that the reduced-model follows the simulated distillation process very closely as the parameters are improved.

  • PDF

Memory-Efficient NBNN Image Classification

  • Lee, YoonSeok;Yoon, Sung-Eui
    • Journal of Computing Science and Engineering
    • /
    • v.11 no.1
    • /
    • pp.1-8
    • /
    • 2017
  • Naive Bayes nearest neighbor (NBNN) is a simple image classifier based on identifying nearest neighbors. NBNN uses original image descriptors (e.g., SIFTs) without vector quantization for preserving the discriminative power of descriptors and has a powerful generalization characteristic. However, it has a distinct disadvantage. Its memory requirement can be prohibitively high while processing a large amount of data. To deal with this problem, we apply a spherical hashing binary code embedding technique, to compactly encode data without significantly losing classification accuracy. We also propose using an inverted index to identify nearest neighbors among binarized image descriptors. To demonstrate the benefits of our method, we apply our method to two existing NBNN techniques with an image dataset. By using 64 bit length, we are able to reduce memory 16 times with higher runtime performance and no significant loss of classification accuracy. This result is achieved by our compact encoding scheme for image descriptors without losing much information from original image descriptors.