• 제목/요약/키워드: Adaptive K-best

검색결과 176건 처리시간 0.025초

Proxy Design for Improving the Efficiency of Stored MPEG-4 FGS Video Delivery over Wireless Networks

  • Liu, Feng-Jung;Yang, Chu-Sing
    • Journal of Communications and Networks
    • /
    • 제6권3호
    • /
    • pp.280-286
    • /
    • 2004
  • The widespread use of the Internet and the maturing of digital video technology have led to an increase in various streaming media application. However, new classes of hosts such as mobile devices are gaining popularity, while the transmission became more heterogeneous. Due to the characteristics of mobile networks such as low speed, high error bit rate, etc., the applications over the wireless channel have different needs and limitations from desktop computers. An intermediary between two communicating endpoints to hide the heterogeneous network links is thought as one of the best approaches. In this paper, we adopted the concept of inter-packet gap and the sequence number between continuously received packets as the error discriminator, and designed an adaptive packet sizing mechanism to improve the network efficiency under varying channel conditions. Based on the proposed mechanism, the packetization scheme with error protection is proposed to scalable encoded video delivery. Finally, simulation results reveal that our proposed mechanism can react to the varying BER conditions with better network efficiency and gain the obvious improvement to video quality for stored MPEG-4 FGS video delivery.

Construction and Characterization of an Enhanced GFP-Tagged TIM-1 Fusion Protein

  • Qing, Jilin;Xiao, Haibing;Zhao, Lin;Qin, Guifang;Hu, Lihua;Chen, Zhizhong
    • Journal of Microbiology and Biotechnology
    • /
    • 제24권4호
    • /
    • pp.568-576
    • /
    • 2014
  • TIM-1 (also known as KIM-1 and HAVcr-1) is a type I transmembrane glycoprotein member of the TIM family that may play important roles in innate and adaptive immune responses. The overexpression of proteins associated with membrane proteins is a major obstacle to overcome in studies of membrane protein structures and functions. In this study, we successfully coupled the overexpression of the TIM-1 protein with a C-terminal enhanced green fluorescent protein (GFP) tag in Escherichia coli. To the best of our knowledge, this report is the first to describe the overexpression of human TIM-1 in E. coli. The purified TIM-1-EGFP fusion protein recognized and bound directly to apoptotic cells and did not to bind to viable cells. Furthermore, we confirmed that the interactions of TIM-1-EGFP with apoptotic cells were blocked by TIM-1-Fc fusion proteins. This fusion protein represents a readily obtainable source of biologically active TIM-1 that may prove useful in future studies of human TIM-1.

A Comparative Study of Estimation by Analogy using Data Mining Techniques

  • Nagpal, Geeta;Uddin, Moin;Kaur, Arvinder
    • Journal of Information Processing Systems
    • /
    • 제8권4호
    • /
    • pp.621-652
    • /
    • 2012
  • Software Estimations provide an inclusive set of directives for software project developers, project managers, and the management in order to produce more realistic estimates based on deficient, uncertain, and noisy data. A range of estimation models are being explored in the industry, as well as in academia, for research purposes but choosing the best model is quite intricate. Estimation by Analogy (EbA) is a form of case based reasoning, which uses fuzzy logic, grey system theory or machine-learning techniques, etc. for optimization. This research compares the estimation accuracy of some conventional data mining models with a hybrid model. Different data mining models are under consideration, including linear regression models like the ordinary least square and ridge regression, and nonlinear models like neural networks, support vector machines, and multivariate adaptive regression splines, etc. A precise and comprehensible predictive model based on the integration of GRA and regression has been introduced and compared. Empirical results have shown that regression when used with GRA gives outstanding results; indicating that the methodology has great potential and can be used as a candidate approach for software effort estimation.

Multihop Rate Adaptive Wireless Scalable Video Using Syndrome-Based Partial Decoding

  • Cho, Yong-Ju;Radha, Hayder;Seo, Jeong-Il;Kang, Jung-Won;Hong, Jin-Woo
    • ETRI Journal
    • /
    • 제32권2호
    • /
    • pp.273-280
    • /
    • 2010
  • The overall channel capacity of a multihop wireless path drops progressively over each hop due to the cascading effect of noise and interference. Hence, without optimal rate adaptation, the video quality is expected to degrade significantly at any client located at a far-edge of an ad-hoc network. To overcome this limitation, decoding and forwarding (DF), which fully decodes codewords at each intermediate node, can be employed to provide the best video quality. However, complexity and memory usage for DF are significantly high. Consequently, we propose syndrome-based partial decoding (SPD). In the SPD framework an intermediate node partially decodes a codeword and relays the packet along with its syndromes if the packet is corrupted. We demonstrate the efficacy of the proposed scheme by simulations using actual 802.11b wireless traces. The trace-driven simulations show that the proposed SPD framework, which reduces the overall processing requirements of intermediate nodes, provides reasonably high goodput when compared to simple forwarding and less complexity and memory requirements when compared to DF.

Piezo Film Sensor를 이용한 생체 정보 검출 (Detection the Biomedical Information using the Piezo Film Sensor)

  • 이한욱;서환;정원근;장두봉;이건기
    • 한국정보전자통신기술학회논문지
    • /
    • 제3권3호
    • /
    • pp.14-21
    • /
    • 2010
  • 유비쿼터스 헬스케어 환경을 위해서는 생체 정보를 실시간으로 정확하게 측정하는 것이 중요할 뿐만 아니라, 이러한 생체 정보 측정 장치는 저전력으로 설계되어져야 한다. 본 논문에서는 지금까지 사용되어 오던 손가락 프로브의 불편함을 없애기 위해 피에죠 필름 센서를 이용하여 손목의 요골 동맥으로부터 심장의 동기 신호인 맥파를 측정하였다. 본 논문에서는 두장의 피에죠 필름 센서를 이용하여 맥파신호와 동잡음 참조 신호를 추출하여 적응 잡음 제거기에 적용함으로써, 동잡음 제거된 맥파 신호를 얻을 수 있었다. 동잡음 제거된 맥파 신호를 이용하여 생체 정보를 얻을 수 있었다.

  • PDF

물 부족 현상으로 인한 잔디의 생리학적 반응: 리뷰 (Turfgrass Responses to Water Deficit: A Review)

  • 이준희
    • 아시안잔디학회지
    • /
    • 제25권2호
    • /
    • pp.125-132
    • /
    • 2011
  • 잔디가 건조 스트레스를 받은 상태에서 잔디의 생리학적 메커니즘과 건조 상태에서 식물이 회복하는 생리학적 메커니즘을 보다 깊이 이해하고자 한다. 증산작용과 Stomatal Conductance의 상호 관계로 인한 광합성량의 변화, 식물 세포 내부의 변화, 삼투압 조절능력의 변화, 호르몬의 변화, 단백질 변성 등의 생리학적 반응들을 이해하고 건조 스트레스 상태에서 회복하는데 세포내부의 적응 과정, 뿌리의 반응과 같은 생리학적인 측면에 대해 이해하고 건조 스트레스 상태에서 엽록소가 흡수하고 반사하는 Spectral Reflectance의 변화를 이해하고자 한다. 하지만 건조스트레스로 인한 식물의 생리학적 메커니즘에는 아직 많은 의문점을 가지고 있으며 향 후 외부환경 스트레스에 의한 식물의 Self-defense 메커니즘을 더욱 깊게 이해하여 보다 수준 높은 관리기법들을 연구하는데 초점을 맞추어야 할 것이다.

Multiobjective Genetic Algorithm for Scheduling Problems in Manufacturing Systems

  • Gen, Mitsuo;Lin, Lin
    • Industrial Engineering and Management Systems
    • /
    • 제11권4호
    • /
    • pp.310-330
    • /
    • 2012
  • Scheduling is an important tool for a manufacturing system, where it can have a major impact on the productivity of a production process. In manufacturing systems, the purpose of scheduling is to minimize the production time and costs, by assigning a production facility when to make, with which staff, and on which equipment. Production scheduling aims to maximize the efficiency of the operation and reduce the costs. In order to find an optimal solution to manufacturing scheduling problems, it attempts to solve complex combinatorial optimization problems. Unfortunately, most of them fall into the class of NP-hard combinatorial problems. Genetic algorithm (GA) is one of the generic population-based metaheuristic optimization algorithms and the best one for finding a satisfactory solution in an acceptable time for the NP-hard scheduling problems. GA is the most popular type of evolutionary algorithm. In this survey paper, we address firstly multiobjective hybrid GA combined with adaptive fuzzy logic controller which gives fitness assignment mechanism and performance measures for solving multiple objective optimization problems, and four crucial issues in the manufacturing scheduling including a mathematical model, GA-based solution method and case study in flexible job-shop scheduling problem (fJSP), automatic guided vehicle (AGV) dispatching models in flexible manufacturing system (FMS) combined with priority-based GA, recent advanced planning and scheduling (APS) models and integrated systems for manufacturing.

Improved ADALINE Harmonics Extraction Algorithm for Boosting Performance of Photovoltaic Shunt Active Power Filter under Dynamic Operations

  • Mohd Zainuri, Muhammad Ammirrul Atiqi;Radzi, Mohd Amran Mohd;Soh, Azura Che;Mariun, Norman;Rahim, Nasrudin Abd.
    • Journal of Electrical Engineering and Technology
    • /
    • 제11권6호
    • /
    • pp.1714-1728
    • /
    • 2016
  • This paper presents improved harmonics extraction based on Adaptive Linear Neuron (ADALINE) algorithm for single phase photovoltaic (PV) shunt active power filter (SAPF). The proposed algorithm, named later as Improved ADALINE, contributes to better performance by removing cosine factor and sum of element that are considered as unnecessary features inside the existing algorithm, known as Modified Widrow-Hoff (W-H) ADALINE. A new updating technique, named as Fundamental Active Current, is introduced to replace the role of the weight factor inside the previous updating technique. For evaluation and comparison purposes, both proposed and existing algorithms have been developed. The PV SAPF with both algorithms was simulated in MATLAB-Simulink respectively, with and without operation or connection of PV. For hardware implementation, laboratory prototype has been developed and the proposed algorithm was programmed in TMS320F28335 DSP board. Steady state operation and three critical dynamic operations, which involve change of nonlinear loads, off-on operation between PV and SAPF, and change of irradiances, were carried out for performance evaluation. From the results and analysis, the Improved ADALINE algorithm shows the best performances with low total harmonic distortion, fast response time and high source power reduction. It performs well in both steady state and dynamic operations as compared to the Modified W-H ADALINE algorithm.

웹기반 개인화 디자인 서비스를 위한 효과적인 추천 기법의 비교 연구 (Comparison of Recommendation Techniques for Web-based Design Personalization Service)

  • 서종환;변재형;이건표
    • 감성과학
    • /
    • 제9권spc3호
    • /
    • pp.179-185
    • /
    • 2006
  • 본 연구는 다른 분야에서 성공적으로 활용되고 있는 다양한 추천 기법들을 비교하는 사례 연구를 통해 더욱 효과적인 디자인 개인화 서비스 개발의 기회를 모색하고자 하였다. 우선, 문헌연구를 통하여 '컨텐츠 기반 기법', '협력적 필터링 기법', 그리고 '인구통계적 필터링 기법'과 같은 대표적인 추천 기법들의 특징과 장단점을 고찰하였다. 다음으로 이러한 기법들이 디자인과 같은 컨텐츠를 대상으로 적용되었을 때 예상되는 추천 정확성을 분석하기 위해 실험을 실시하였다. 그 결과, 인구통계적 필터링 기법은 나머지 기법에 비해서 비교적 낮은 정확성을 보였으며 컨텐츠 기반 기법이 가장 좋은 높은 추천 정확성을 나타내었다. 아울러 협력적 필터링 기법은 참여자들의 수가 증가할수록 좀 더 높은 추천 정확성을 나타냄을 알 수 있었다. 결론적으로 디자인 추천 서비스는 컨텐츠 기반 기법이나 협력적 필터링 기법의 적용을 통해 그 추천 정확성을 향상시킬 수 있으며 대상 사용자의 수가 일정 수준 이상으로 증가된다면 협력적 필터링 기법이 가장 우수한 효율을 나타낼 가능성이 높음을 제시하였다.

  • PDF

적응적 2차원 FIR 필터를 이용한 부화소 렌더링 기법 (Sub-Pixel Rendering Algorithm Using Adaptive 2D FIR Filters)

  • 남연오;최익현;송병철
    • 전자공학회논문지
    • /
    • 제50권3호
    • /
    • pp.113-121
    • /
    • 2013
  • 본 논문은 학습 기반의 2D-FIR필터를 이용한 부화소 렌더링 기법을 제안한다. 제안 기법은 크게 학습 단계와 합성 단계로 나뉜다. 학습 단계에서는 충분히 많은 수의 저해상도/고해상도의 영상 블록 쌍들을 이용하여 고해상도/저해상도 블록의 관계에 따른 합성 정보를 계산하고, 그 합성 정보를 담은 소위 사전을 생성한다. 합성 단계에서는 각 입력 영상에 대응하는 후보 블록을 상기 학습된 사전에서 찾는다. 탐색된 사전 내 합성 정보를 이용하여 부화소 레벨의 축소된 블록을 합성함으로써 최종 축소 영상을 얻는다. 한편, 영상 합성 시 디스플레이 장치의 RGB 패턴을 고려한 필터링을 통해 선명도를 향상시킨다. 모의 실험을 통해 제안 기법이 일반적인 영상축소 기법에 비해 흐림 효과, 엘리어싱 등의 화질 열화없이 고화질의 축소 영상을 생성함을 확인하였다.