• 제목/요약/키워드: traditional experiments

검색결과 1,069건 처리시간 0.028초

Automatic Control Point Measurement and Photo Orientation via Matching with Control Patch

  • Jaw, Jen-Jer;Wu, Yi-Shen
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.375-377
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    • 2003
  • In this study, we employ the control patches, which have been created in previous photogrammetric projects, serving for the candidates of the control points that are likely to be found in the newly taken photos by utilizing image matching technique. Among others, the successful implementation of the above idea lies in the underlying factors: (1). Predicting the control patches and projecting them onto new photos; (2). Alignment of control patches with respect to the new photos; (3). Generating the equivalent ground elements of control patches versus the new photos for the purpose of correlation; (4). Developing effective matching methods and matching strategy; (5). Refining the exterior orientation parameters. What may show significance in this work comparing to traditional aerial-triangulation chain is that whenever at least three matched control patches succeed in a single photo, it follows that single photo orientation is applicable. The experiments suggest the potential efficiency of automatic control point measurement from control patch database and photo orientation by the proposed workflow.

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레이저를 이용한 의료기기용 미세 동축케이블의 실드선 탈피 (Shield Wire Stripping of Micro Coaxial Cable for Medical Device Using Laser)

  • 이정완;김정훈
    • 한국정밀공학회지
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    • 제26권9호
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    • pp.64-71
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    • 2009
  • Recently as ultrasonic medical devices are gradually developed, many of those require smaller and more precision coaxial cables in the probe. So, the use of micro coaxial cable becomes an efficient solution for ultrasonic machine. However, there are many difficulties in stripping micro coaxial cable by traditional mechanical process. In this paper we use the Nd:YAG laser for the efficient striping of conduct wire of cable. Through some experiments, we found that there is a new possibility in the proposed method. Also, we propose a pre-process of the cable before stripping in order to enhance the performance.

The Design Quality Comparison and Inspection Efficiency for Hardware and Software

  • Fengyu, Zhao;Yizhong, Ma
    • International Journal of Quality Innovation
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    • 제7권1호
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    • pp.90-97
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    • 2006
  • The process of producing software differs in many aspects from that of traditional manufacturing. Software is not manufactured in the classical sense. Development of software more closely resembles the development effort that goes into design new product [1-3]. In this article, we first describe the foundations of process improvement, which all processes can share. The process improvement differences between software and manufacturing process are then discussed, and a defect driven process inspection and improvement is introduced. Based on the discussion, two experiments were designed and the results of the results were collected. Through the comparison, we found that some efficient quality improvement approaches can be easily adapted in the software improvement and that the inspection efficiency is also significant.

U라인에서의 작업관련성을 고려한 작업부하 평활화에 관한 연구 (A Study on Workload Smoothness Considering Work Relatedness In the U-Line)

  • 김우열;김용주;김동묵
    • 한국국방경영분석학회지
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    • 제28권2호
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    • pp.116-124
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    • 2002
  • In just-in-time production systems, U-shaped production lines rather than traditional straight lines are often adopted since they have some advantages. The advantages of U-lines over straight lines are that the workstations required can be reduced and the necessary number of workers can be easily adjusted when the demand rates are changed. In this paper, we present a new genetic algorithm(GA) to minimize the number of workstations primarily and improve the work relatedness secondarily in the U-line production systems. Also, a new heuristic method is presented according to the work related factors and characteristics of U-line balancing. Some major aspects of the proposed GA are discussed, with emphasis on representation, decoding and evaluation function. Extensive experiments are carried out on well-known test-bed problems in the literature to verify the performance of our algorithm . The computational results show that our algorithm is a promising alternative to existing heuristics.

Intention-Oriented Itinerary Recommendation Through Bridging Physical Trajectories and Online Social Networks

  • Meng, Xiangxu;Lin, Xinye;Wang, Xiaodong;Zhou, Xingming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권12호
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    • pp.3197-3218
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    • 2012
  • Compared with traditional itinerary planning, intention-oriented itinerary recommendations can provide more flexible activity planning without requiring the user's predetermined destinations and is especially helpful for those in unfamiliar environments. The rank and classification of points of interest (POI) from location-based social networks (LBSN) are used to indicate different user intentions. The mining of vehicles' physical trajectories can provide exact civil traffic information for path planning. This paper proposes a POI category-based itinerary recommendation framework combining physical trajectories with LBSN. Specifically, a Voronoi graph-based GPS trajectory analysis method is utilized to build traffic information networks, and an ant colony algorithm for multi-object optimization is implemented to locate the most appropriate itineraries. We conduct experiments on datasets from the Foursquare and GeoLife projects. A test of users' satisfaction with the recommended items is also performed. Our results show that the satisfaction level reaches an average of 80%.

Enhanced Distance Dynamics Model for Community Detection via Ego-Leader

  • Cai, LiJun;Zhang, Jing;Chen, Lei;He, TingQin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권5호
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    • pp.2142-2161
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    • 2018
  • Distance dynamics model is an excellent model for uncovering the community structure of a complex network. However, the model has poor robustness. To improve the robustness, we design an enhanced distance dynamics model based on Ego-Leader and propose a corresponding community detection algorithm, called E-Attractor. The main contributions of E-Attractor are as follows. First, to get rid of sensitive parameter ${\lambda}$, Ego-Leader is introduced into the distance dynamics model to determine the influence of an exclusive neighbor on the distance. Second, based on top-k Ego-Leader, we design an enhanced distance dynamics model. In contrast to the traditional model, enhanced model has better robustness for all networks. Extensive experiments show that E-Attractor has good performance relative to several state-of-the-art algorithms.

무떡의 재료배합비에 따른 Texture 특성 (Sensory and Mechanical Characteristics of Moo-dduk by Different Ingredients)

  • 이효지;김경진
    • 한국식품조리과학회지
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    • 제10권3호
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    • pp.242-248
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    • 1994
  • The purpose of this study was to investigate effect of the amounts of rice flour, glutinous-rice flour supplementation, Chinese radish, and the kinds and amount of sweetner on the sensory and objective characteristics of Moo-dduk which is korean traditional cake supplemented with jullienne Chinese radish. The advisable recipe for Moo-dduk was obtained through the various experiments. i) The Moo-dduk blended with rice flour. rice flour 300 g Chinese radish 210 g(70% of rice flour) sugar 30 g(10% of rice flour) salt 3 g(1% of rice flour) ii) The Moo-dduk blended with rice flour and glutinous-rice flour. rice flour 225 g, glutinous-rice flour 75 g(25% of rice flour), Chinese radish 210 g(70% of rice flour) sugar 30 g(10% of rice flour) salt 3 g(1% of rice flour)

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Operational modal analysis of structures by stochastic subspace identification with a delay index

  • Li, Dan;Ren, Wei-Xin;Hu, Yi-Ding;Yang, Dong
    • Structural Engineering and Mechanics
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    • 제59권1호
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    • pp.187-207
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    • 2016
  • Practical ambient excitations of engineering structures usually do not comply with the stationary-white-noise assumption in traditional operational modal analysis methods due to heavy traffic, wind guests, and other disturbances. In order to eliminate spurious modes induced by non-white noise inputs, the improved stochastic subspace identification based on a delay index is proposed in this paper for a representative kind of stationary non-white noise ambient excitations, which have nonzero autocorrelation values near the vertical axis. It relaxes the stationary-white-noise assumption of inputs by avoiding corresponding unqualified elements in the Hankel matrix. Details of the improved stochastic subspace identification algorithms and determination of the delay index are discussed. Numerical simulations on a four-story frame and laboratory vibration experiments on a simply supported beam have demonstrated the accuracy and reliability of the proposed method in eliminating spurious modes under non-white noise ambient excitations.

Investigation on the effect of eccentricity for fuel disc irradiation tests

  • Scolaro, A.;Van Uffelen, P.;Fiorina, C.;Schubert, A.;Clifford, I.;Pautz, A.
    • Nuclear Engineering and Technology
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    • 제53권5호
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    • pp.1602-1611
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    • 2021
  • A varying degree of eccentricity always exists in the initial configuration of a nuclear fuel rod. Its impact on traditional LWR fuel is limited as the radial gap closes relatively early during irradiation. However, the effect of misalignment is expected to be more relevant in rods with highly conductive fuels, large initial gaps and low conductivity filling gases. In this paper, we study similar characteristics in the experimental setup of two fuel disc irradiation campaigns carried out in the OECD Halden Boiling Water Reactor. Using the multi-dimensional fuel performance code OFFBEAT, we combine 2-D axisymmetric and 3-D simulations to investigate the effect of eccentricity on the fuel temperature distribution. At the same time, we illustrate how the advent of modern tools with multi-dimensional capabilities might further improve the design and interpretation of in-pile separate-effect tests and we outline the potential of such an analysis for upcoming experiments.

Pruning for Robustness by Suppressing High Magnitude and Increasing Sparsity of Weights

  • Cho, Incheon;Ali, Muhammad Salman;Bae, Sung-Ho
    • 방송공학회논문지
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    • 제26권7호
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    • pp.862-867
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    • 2021
  • Although Deep Neural Networks (DNNs) have shown remarkable performance in various artificial intelligence fields, it is well known that DNNs are vulnerable to adversarial attacks. Since adversarial attacks are implemented by adding perturbations onto benign examples, increasing the sparsity of DNNs minimizes the propagation of errors to high-level layers. In this paper, unlike the traditional pruning scheme removing low magnitude weights, we eliminate high magnitude weights that are usually considered high absolute values, named 'reverse pruning' to ensure robustness. By conducting both theoretical and experimental analyses, we observe that reverse pruning ensures the robustness of DNNs. Experimental results show that our reverse pruning outperforms previous work with 29.01% in Top-1 accuracy on perturbed CIFAR-10. However, reverse pruning does not guarantee benign samples. To relax this problem, we further conducted experiments by adding a regularization term for the high magnitude weights. With adding the regularization term, we also applied conventional pruning to ensure the robustness of DNNs.