• Title/Summary/Keyword: Global Weight

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A Study on Global Competitiveness Factors of Electrical and Electronic Testing and Certification Bodies (전기전자 시험인증기관의 글로벌 경쟁력 요인 연구)

  • PARK, Kyunghwan;LEE, Cheolgyu
    • Journal of Korean Society for Quality Management
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    • v.49 no.3
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    • pp.281-297
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    • 2021
  • Purpose: The purpose of this study was to select factors affecting the global competitiveness of testing and certification bodies and to develop evaluation indicator. Methods: Considering the industrial characteristics of Korea, the electrical and electronic test and certification field was selected as the research subject. As a research method, various factors were extracted through exploratory research such as theoretical considerations on the competitiveness of testing and certification bodies and analysis of the growth process of global testing and certification bodies, and focused interviews and surveys were conducted with conformity assessment experts. Results: The 16 factors affecting the global competitiveness of testing and certification institutions were identified. Among the 4 PEST factors, the technological factor had the highest importance, followed by the economic factor, the social factor, and the political factor. The average of the 16 factors was 0.0625, and the 8 factors above the average included 4 technological factors, 3 economic factors, and 1 social factor, but did not include political factors. The factor with the greatest weight was Standardization Capability for Testing & Certification 0.105. Conclusion: It can be used to evaluate the global competitiveness level of domestic testing and certification bodies using evaluation indicators and to establish strategies for strengthening global competitiveness.

Phytohormnes producing Preussia sp. BSL-10 induce phytohormonal changes in tomato (Solanum lycopersium cv.) under divers temperature.

  • Al-Hosni, Khdija;Shahzad, Raheem;Kang, Sang-Mo;Lee, In-Jung
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.202-202
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    • 2017
  • Global climate change resulted in unwarranted change in global temperature and caused heat and cold stress, which are consider major threat to agriculture productivity around the world. The use of plant growth-promoting microbes is an eco-friendly strategy to counteract such stresses and confer tolerance to the plants. In current study, previously isolated endophytic fungi Preussia sp. BSL-10 has been found to produce phytohormones such as IAA and GA and as such, endophyte Preussia sp. BSL-10 found to induced tolerance against heat and cold stress. The results showed that under both heat and cold stress the plant growth parameter such as shoot, root length, shoot fresh weight and root fresh weight is higher in Preussia sp. BSL-10 treated plants as compare to free Preussia sp. BSL-10 control plants. In addition, the stress-sensitive endogenous ABA levels were significantly increased in Preussia sp. BSL-10 host plant. The current result suggest that the phytohormone-producing endophyte Preussia sp. BSL-10 can increase plant resistance toheat and cold stress, in turn improving agricultural productivity.

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Porous concrete with optimum fine aggregate and fibre for improved strength

  • Karanth, Savithri S.;Kumar, U. Lohith;Danigond, Naveen
    • Advances in concrete construction
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    • v.8 no.4
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    • pp.305-309
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    • 2019
  • Pervious concrete pavements are the need of the day to avoid urban flooding and to facilitate ground water recharge. However, the strength of pervious or porous concrete is considerably less compared to conventional concrete. In this experimental investigation, an effort is made to improve the strength of pervious concrete by adopting fibres and a small amount of fine aggregate. A porous concrete with cement to aggregate ratio of 1:5 and a water-powder ratio of 0.4 is adopted. 30% of the cement is replaced by cementitious material ground granulated blast furnace slag (GGBS) for better strength and workability. Recron fibres at a dosage of 0.5, 1.0 and 1.5% by weight of cement were included to improve the impact strength. Since concrete pavements are subjected to impact loads, the impact strength was also calculated by "Drop ball method" in addition to compressive strength. The effect of fine aggregate and recron fibres on workability, porosity, compressive and impact strength was studied. The investigations have shown that 20% inclusion of fine aggregate and 1.5% recron fibres by weight of cement give better strength with an acceptable range of porosity.

An Effective Ant Colony System Optimization for Symmetric Traveling Salesman Problem (Symmetric Traveling Salesman Problem을 해결하기 위해 Ant Colony System에서의 효과적인 최적화 방법에 관한 연구)

  • Jung, Tae-Ung;Lee, Sung-Gwan;Jung, Tae-Chung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2000.10a
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    • pp.321-324
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    • 2000
  • 조합 최적화 문제인 Traveling Salesman problems(TSP)을 Genetic Algorithm(GA)[3]과 Local Search Heuristic Algorithm[8]을 이용하여 접근하는 것은 최적해를 구하기 위해 널리 알려진 방법이다. 본 논문에서는 TSP문제를 해결하기 위한 또 다른 접근법으로, 다수의 Ant들이 Tour들을 찾는 ACS(Ant Colony System) Algorithms[4][6][7]을 소개하고, ACS에서 Global Optima를 찾는 과정에서, 이미 이루어져 있는 Ant들의 Tour결과들을 서로 비교한다. Global Updating Rule에 의해 Global Best Tour 에 속해 있는 각 Ant Tour의 edge들을 update하는 ACS Algorithm에, 각 루프마다 Ant Tour들을 우성과 열성 인자들로 구분하고, 각각의 우성과 열성 인자들에 대해서 Global Updating Rule에 기반한 가중치를 적용(Weight Updating Rule)하므로서 기존의 ACS Algorithm보다 효율적으로 최적 해를 찾아내는 방법에 대해서 논하고자 한다.

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Methods of pairwise comparisons and fuzzy global criterion for multiobjective optimization in structural engineering

  • Shih, C.J.;Yu, K.C.
    • Structural Engineering and Mechanics
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    • v.6 no.1
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    • pp.17-30
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    • 1998
  • The method of pairwise comparison inherently contains information of ambiguity, fuzziness and conflict in design goals for a multiobjective structural design. This paper applies the principle of paired comparison so that the vaguely formulated problem can be modified and a set of numerically acceptable weight would reflect the relatively important degree of multiple objectives. This paper also presents a fuzzy global criterion method ($FGCM_{\lambda}$) included fuzzy constraints that coupled with the objective weighting rank obtained from the modified pairwise comparisons for fuzzy multiobjective optimization problems. Descriptions in sequence of this combined method and problem solving experiences are given in the current article. Multiobjective design examples of truss and mechanical spring structures illustrate this optimization process containing the revising judgement techniques.

Suppression of Fat Accumulation and Improvement of Glucose Tolerance in High-fat Diet-induced Obese Mice Treated with an Acanthopanax senticosus Extract (고지방식이 유도 비만 마우스에서 가시오가피(Acanthopanax senticosus)의 지방축적 억제 및 인슐린 저항성 개선 작용)

  • Kim, Bobae;Hyun, Chang-Kee
    • Korean Journal of Pharmacognosy
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    • v.46 no.1
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    • pp.65-71
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    • 2015
  • Although it has recently been reported that Acanthopanax senticosus has a protective effect against the development of metabolic disorders such as diabetes and hyperlipidemia, its underlying molecular mechanisms have remained to be elucidated. In this study, we observed that treatment of an extract of A. senticosus (ASE) reduced body weight and adiposity and improved glucose tolerance in high-fat diet (HFD)-induced obese mice. HFD-induced weight gain in white adipose tissues and liver was also significantly reduced in ASE-treated HFD-fed mice, which was found to be contributed by suppression of mRNA expression of genes involved in fatty-acid uptake and fat synthesis in white adipose tissue. ASE treatment also attenuated M1 macrophage activation, increased regulatory T ($T_{reg}$) cell population, and modulated leptin/adiponectin profile that might alleviate chronic inflammation to protect against HFD-induced insulin resistance. Our findings suggest a therapeutic potential of ASE for prevention and treatment of type 2 diabetes without adverse effects such as weight gain and dyslipidemia.

Research on Satisfaction Evaluation Based on Tourist Big Data

  • Guo, Hanwen;Liu, Ziyang;Jiao, Zeyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.1
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    • pp.231-244
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    • 2022
  • With the improvement of people's living standards and the development of tourism, tourists have greater freedom in choosing destinations. Therefore, as an indicator of satisfaction with scenic spots, tourist comments are becoming increasingly prominent. This paper aims to compare and analyze the landscape image of the Five Great Mountains in China and provide specific strategies for its development. The online reviews of tourists on the Online Travel Agency (OTA) website about the Five Great Mountains from 2015 to 2018 are collected as research samples. The text analysis method and R language are used to analyze the content of the tourist reviews, while the high-frequency words in the word cloud are used for visual display. In addition, the entropy weight method is used to determine the index weight and tourist satisfaction is evaluated to understand the weaknesses of those scenic spots. The results of the study show that firstly, the tourist satisfaction with the Five Great Mountains is basically consistent with its popularity. Secondly, through weight analysis, tourists pay special attention to the landscape features and environmental health of the scenic area, so that relevant departments should focus on building the landscape characteristics and improving the environmental health of the scenic area. At the same time, the accommodation and service management of the scenic spot cannot be ignored. Finally, according to the analysis results, suggestions are made on how to improve the tourist satisfaction with the Five Great Mountains.

Optimum Design of Sandwich Panel Using Hybrid Metaheuristics Approach

  • Kim, Yun-Young;Cho, Min-Cheol;Park, Je-Woong;Gotoh, Koji;Toyosada, Masahiro
    • Journal of Ocean Engineering and Technology
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    • v.17 no.6
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    • pp.38-46
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    • 2003
  • Aim of this article is to propose Micro-Genetic Simulated Annealing (${\mu}GSA$) as a hybrid metaheuristics approach to find the global optimum of nonlinear optimisation problems. This approach combines the features of modern metaheuristics such as micro-genetic algorithm (${\mu}GAs$) and simulated annealing (SA) with the general robustness of parallel exploration and asymptotic convergence, respectively. Therefore, ${\mu}GSA$ approach can help in avoiding the premature convergence and can search for better global solution, because of its wide spread applicability, global perspective and inherent parallelism. For the superior performance of the ${\mu}GSA$, the five well-know benchmark test functions that were tested and compared with the two global optimisation approaches: scatter search (SS) and hybrid scatter genetic tabu (HSGT) approach. A practical application to structural sandwich panel is also examined by optimism the weight function. From the simulation results, it has been concluded that the proposed ${\mu}GSA$ approach is an effective optimisation tool for soloing continuous nonlinear global optimisation problems in suitable computational time frame.

Efficient Path Search Method using Ant Colony System in Traveling Salesman Problem (순회 판매원 문제에서 개미 군락 시스템을 이용한 효율적인 경로 탐색)

  • 홍석미;이영아;정태충
    • Journal of KIISE:Software and Applications
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    • v.30 no.9
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    • pp.862-866
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    • 2003
  • Traveling Salesman Problem(TSP) is a combinational optimization problem, Genetic Algorithm(GA) and Lin-Kernighan(LK) Heuristic[1]that is Local Search Heuristic are one of the most commonly used methods to resolve TSP. In this paper, we introduce ACS(Ant Colony System) Algorithm as another approach to solve TSP and propose a new pheromone updating method. ACS uses pheromone information between cities in the Process where many ants make a tour, and is a method to find a optimal solution through recursive tour creation process. At the stage of Global Updating of ACS method, it updates pheromone of edges belonging to global best tour of created all edge. But we perform once more pheromone update about created all edges before global updating rule of original ACS is applied. At this process, we use the frequency of occurrence of each edges to update pheromone. We could offer stochastic value by pheromone about each edges, giving all edges' occurrence frequency as weight about Pheromone. This finds an optimal solution faster than existing ACS algorithm and prevent a local optima using more edges in next time search.

Scenic Image Research Based on Big Data Analysis - Take China's Four Ancient Cities as an Example

  • Liang, Rui;Guo, Hanwen;Liu, Jiayu;Liu, Ziyang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.7
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    • pp.2769-2784
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    • 2020
  • This paper aims to compare the scenic images of four ancient Chinese cities including Lijiang, Pingyao, Huizhou and Langzhong, so as to provide specific development strategies for the ancient cities. In this paper, the ancient cities' scenic images are divided into three sub-indexes and eight evaluation dimensions. Based on this, the study first uses Python software to collect tourists' online comments on the four ancient cities. Then, the social network analysis method is used to build a high-frequency keywords matrix of tourist comments and the R language is used to generate a visual network graph. After this, the entropy weight method is used to determine the weights and values of eight evaluation dimensions. Finally, the tourists' overall satisfaction indexes of the four ancient cities are calculated accordingly. The results show that (1) the overall satisfaction of Lijiang is the highest, while that of Huizhou is the lowest; (2) from the weight of each evaluation dimension, it can be seen that tourists care more about the national culture and historical culture; (3) from tourists' satisfaction index on each evaluation dimension of the four ancient cities, we can find that the four ancient cities has their own advantages and disadvantages in tourism development. (4) local tourism-related institutions should strengthen their advantages and improve their deficiencies so as to enhance tourists' overall image of the ancient city.