• Title/Summary/Keyword: Weight information

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A Study on the Weight Lightening Algorithm of 3-Dimensional Large Object based on Spatial Data LOD (공간데이터 LOD 기반 3차원 대용량 객체의 경량화 알고리즘 연구)

  • Na, Joon Yeop;Hong, Chang Hee
    • Spatial Information Research
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    • v.21 no.6
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    • pp.1-9
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    • 2013
  • Recently, Construction information is being changed from CAD to BIM, and GIS is extending from outdoor to indoor information. In these circumstances, the needs of continuous use of construction information linked with GIS are growing constantly in stages of maintenance, operation and service as well as planning, design and construction. To this end, it is essential element to represent 3-dimensional large object efficiently in establishing BIM-GIS interoperability platform by combination of construction and spatial information. In this study, we design spatial data LOD for making spatial object and texture by level, and develop weight lightening algorithm of large spatial object.

Performances of Heuristic Algorithms for Consolidated Transportation with Weight and Volume Constraints

  • Rim, Suk-Chul;Kim, Nae-Heon;Youngjin Yoo
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.63-67
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    • 2001
  • Since the transportation cost takes about two thirds of the logistics cost of Korean firms, significant reduction of business logistics cost can hardly be achieved without effectively reducing the transportation cost. Although consolidated transportation has been regarded as the most promising strategy for reducing the transportation cost, it has not been successful in practice. In this paper we consider a consolidated transportation for the factories located in a limited area such as industrial complexes, where loads of various volume and weight are consolidated. We want to group the loads to assign to a truck of various size such that the total transportation cost is minimized, while the maximum volume constraint and weight constraint of each truck are satisfied. We suggest four heuristic algorithms to efficiently determine the groups of loads; and conduct a computer simulation to evaluate the performances of the algorithms.

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On the Classification of Online Handwritten Digits using the Enhanced Back Propagation of Neural Networks (개선된 역전파 신경회로망을 이용한 온라인 필기체 숫자의 분류에 관한 연구)

  • Hong, Bong-Hwa
    • The Journal of Information Technology
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    • v.9 no.4
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    • pp.65-74
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    • 2006
  • The back propagation of neural networks has the problems of falling into local minimum and delay of the speed by the iterative learning. An algorithm to solve the problem and improve the speed of the learning was already proposed in[8], which updates the learning parameter related with the connection weight. In this paper, we propose the algorithm generating initial weight to improve the efficiency of the algorithm by offering the difference between the input vector and the target signal to the generating function of initial weight. The algorithm proposed here can classify more than 98.75% of the handwritten digits and this rate shows 30% more effective than the other previous methods.

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Improved Dynamic Subjective Logic Model with Evidence Driven

  • Qiang, Jiao-Hong;Xin, Wang-Xin;Feng, Tian-Jun
    • Journal of Information Processing Systems
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    • v.11 no.4
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    • pp.630-642
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    • 2015
  • In Jøsang's subjective logic, the fusion operator is not able to fuse three or more opinions at a time and it cannot consider the effect of time factors on fusion. Also, the base rate (a) and non-informative prior weight (C) could not change dynamically. In this paper, we propose an Improved Subjective Logic Model with Evidence Driven (ISLM-ED) that expands and enriches the subjective logic theory. It includes the multi-agent unified fusion operator and the dynamic function for the base rate (a) and the non-informative prior weight (C) through the changes in evidence. The multi-agent unified fusion operator not only meets the commutative and associative law but is also consistent with the researchers's cognitive rules. A strict mathematical proof was given by this paper. Finally, through the simulation experiments, the results show that the ISLM-ED is more reasonable and effective and that it can be better adapted to the changing environment.

The Effect of Local Basis Weight on Local Strain (지역 평량이 지역 변형률에 미치는 영향)

  • 남원석;백기현
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.31 no.3
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    • pp.105-109
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    • 1999
  • The purpose of this experiment was to see the effect of local basis weight on the local strain during changing moisture content in handsheets. The averaged strain value of the whole size of paper sheet did not give more valuable information to explain non uniform deformation in the paper sheet. The combination of intact strain measurement system KISA (Linear Image Strain Analysis) and local basis weight measurement method using a scanner made it possible to compare local basis weight with local strain to explain moisture induced paper deformation . Usually higher basis weight local area showed higher moisture induced local strain. However, the hygro-induced strain values were highly affected by the behavior of neighbor local areas. Well distributed local basis weight paper would give more uniform local strains than those of non-uniformed local basis weight paper.

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A Study on Weight Control Attempt and Related Factors among College Female Students (여대생들의 체중조절 실태 및 관련 요인에 대한 연구)

  • 김경원;이미정;김정희;심영현
    • Korean Journal of Community Nutrition
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    • v.3 no.1
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    • pp.21-33
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    • 1998
  • The purpose of this study was to investigate the weight control attempts and related factors among 220 female college students in Seoul. Factors examined included body image, body satisfaction, interest in weight control, beliefs related to weight control, social norms, social expectations regarding subjects' body size and weight change. Data were analyzed using t-test and chi-square test(at $\alpha$=0.05). The average height and weight of subjects were 160.7cm, 52.2kg respectively. BMI and body fat(%) were 20.2 and 25.2%, respectively. One hundred seventy two students(78.2%) had attempted to control their weight, mainly to lose weight, and were categorized as the weight control attempt group. Subjects used diet modification as well as unhealthy method to control weight. 48.2% in the attempt group were underweight or normal weight(by BMI), suggesting that their weight control attempts were was unnecessary. Students in the attempt group described their own size as heavier than those in the no-attempt group(p<0.01) or other girls of their age(p<0.05) ; more dissatisfied with their body size(p<0.01), and showed more interest in weight control(p<0.01). Several differences in beliefs were also noted(p<0.001). The attempt group believed less strongly in the harmful effects or difficulties in weight control and believed more strongly in the advantages of weight control. With respect to social factors, the attempt group perceived that their family and friends wanted them to be smaller than they were(p<0.001), perceived that significant others felt that they should lose weight(p<0.05). These results suggest that educational programs for college female students should start focusing on the harmful effects of excessive dieting and information about desirable weight control methods. Students should be helped to have a correct body image. In addition, educational programs should incorporate strategies to change beliefs regarding weight control, as well as modifying social expectations from significant others.

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An Adaptive JPEG Steganographic Method Based on Weight Distribution for Embedding Costs

  • Sun, Yi;Tang, Guangming;Bian, Yuan;Xu, Xiaoyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.5
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    • pp.2723-2740
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    • 2017
  • Steganographic schemes which are based on minimizing an additive distortion function defined the overall impacts after embedding as the sum of embedding costs for individual image element. However, mutual impacts during embedding are often ignored. In this paper, an adaptive JPEG steganographic method based on weight distribution for embedding costs is proposed. The method takes mutual impacts during embedding in consideration. Firstly, an analysis is made about the factors that affect embedding fluctuations among JPEG coefficients. Then the Distortion Update Strategy (DUS) of updating the distortion costs is proposed, enabling to dynamically update the embedding costs group by group. At last, a kind of adaptive JPEG steganographic algorithm is designed combining with the update strategy and well-known additive distortion function. The experimental result illustrates that the proposed algorithm gains a superior performance in the fight against the current state-of-the-art steganalyzers with high-dimensional features.

Use of Tree Traversal Algorithms for Chain Formation in the PEGASIS Data Gathering Protocol for Wireless Sensor Networks

  • Meghanathan, Natarajan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.3 no.6
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    • pp.612-627
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    • 2009
  • The high-level contribution of this paper is to illustrate the effectiveness of using graph theory tree traversal algorithms (pre-order, in-order and post-order traversals) to generate the chain of sensor nodes in the classical Power Efficient-Gathering in Sensor Information Systems (PEGASIS) data aggregation protocol for wireless sensor networks. We first construct an undirected minimum-weight spanning tree (ud-MST) on a complete sensor network graph, wherein the weight of each edge is the Euclidean distance between the constituent nodes of the edge. A Breadth-First-Search of the ud-MST, starting with the node located closest to the center of the network, is now conducted to iteratively construct a rooted directed minimum-weight spanning tree (rd-MST). The three tree traversal algorithms are then executed on the rd-MST and the node sequence resulting from each of the traversals is used as the chain of nodes for the PEGASIS protocol. Simulation studies on PEGASIS conducted for both TDMA and CDMA systems illustrate that using the chain of nodes generated from the tree traversal algorithms, the node lifetime can improve as large as by 19%-30% and at the same time, the energy loss per node can be 19%-35% lower than that obtained with the currently used distance-based greedy heuristic.

Relations of Advertising Regulations and Consumer Damages: Focusing on Weight-Loss Food Advertisements on the Internet (온라인 다이어트 식품 광고를 통해 본 광고 규제와 소비자피해와의 관계)

  • Kim, Hye Jin;Lee, Seung Sin
    • Human Ecology Research
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    • v.54 no.1
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    • pp.27-43
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    • 2016
  • This study initiates from the question of whether current advertising regulations are appropriate to be applied to the market. It confirms the relationship between misleading online advertisements of weight-loss food and consumer damages. This study argues that it is necessary to enforce monitoring and regulating (strengthening monitoring) for situations where misleading advertisements are exposed in the market with subsequent consumer damages. However, deregulation is needed for advertisements exposed in the name of misleading advertisements but with no consumer damages. In conclusion, the regulations of current weight loss foods are properly established $vis-{\grave{a}}-vis$ the market situation. However, misleading advertisements are prevalent for all regulated types: Type I (product quality and effect), Type II (endorsement and warranty), Type III (ways to use and safety), Type IV (comparison and superiority), and Type V (company information). Promotion targeting businesses, market monitoring and control are necessary to ensure that advertising regulations (which have existed only as an institution) can be appropriately applied. It is also confirmed that 'comparison advertising' (applicable to Type IV where consumer damages were not shown compared to other regulations) does not have an actual effect as a consumer protection regulation that should be considered in regulation revisions. Consumers also did not recognize Type III and V in the purchasing stage while consumer damages were demonstrated; consequently, this implies that consumers need to check and become attentive to these types.

Optimum Solutions of Minimum Error Entropy Algorithm (최소 오차 엔트로피 알고리듬의 최적해)

  • Kim, Namyong;Lee, Gyoo-yeong
    • Journal of Internet Computing and Services
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    • v.17 no.3
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    • pp.19-24
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    • 2016
  • The minimum error entropy (MEE) algorithm is known to be superior in impulsive noise environment. In this paper, the optimum solutions and properties of the MEE algorithm are studied in regard to the robustness against impulsive noise. From the analysis of the behavior of optimum weight and factors related with mitigation of influence from large errors, it is revealed that the magnitude controlled input entropy plays the main role of keeping optimum weight of MEE undisturbed from impulsive noise. In the simulation, the optimum weight of MEE is shown to be the same as that of MSE criterion.