• Title/Summary/Keyword: search functions

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Comparative Study of Discovery Services (디스커버리 서비스의 비교 분석)

  • Kwak, Seung-Jin;Shin, Jae-Min;Kim, Bo-Young
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.27 no.4
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    • pp.5-20
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    • 2016
  • Discovery service has as its object to cope with the user to take advantage of the collection of the library as possible to index and search, one step further, the interface by more efficiently to the user's information needs. Discovery service has features such as providing a ranking and navigation services to subdivide the search results by facet results along the suitability and visually rich display, suggestions, recommendations associated resources. In this study introduces the status of discovery services such as discovery service products, usage status, and features, and compares and analyzes the use agencies, content status, main functions, and features of the three discovery services used in Korea library.

Mooring Cost Sensitivity Study Based on Cost-Optimum Mooring Design

  • Ryu, Sam Sangsoo;Heyl, Caspar;Duggal, Arun
    • Journal of Ocean Engineering and Technology
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    • v.23 no.1
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    • pp.1-6
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    • 2009
  • The paper describes results of a sensitivity study on an optimum mooring cost as a function of safety factor and allowable maximum offset of the offshore floating structure by finding the anchor leg component size and the declination angle. A harmony search (HS) based mooring optimization program was developed to conduct the study. This mooring optimization model was integrated with a frequency-domain global motion analysis program to assess both cost and design constraints of the mooring system. To find a trend of anchor leg system cost for the proposed sensitivity study, optimum costs after a certain number of improvisation were found and compared. For a case study a turret-moored FPSO with 3 ${\times}$ 3 anchor leg system was considered. To better guide search for the optimum cost, three different penalty functions were applied. The results show that the presented HS-based cost-optimum offshore mooring design tool can be used to find optimum mooring design values such as declination angle and horizontal end point separation as well as a cost-optimum mooring system in case either the allowable maximum offset or factor of safety varies.

Temporal Search Algorithm for Multiple-Pedestrian Tracking

  • Yu, Hye-Yeon;Kim, Young-Nam;Kim, Moon-Hyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.5
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    • pp.2310-2325
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    • 2016
  • In this paper, we provide a trajectory-generation algorithm that can identify pedestrians in real time. Typically, the contours for the extraction of pedestrians from the foreground of images are not clear due to factors including brightness and shade; furthermore, pedestrians move in different directions and interact with each other. These issues mean that the identification of pedestrians and the generation of trajectories are somewhat difficult. We propose a new method for trajectory generation regarding multiple pedestrians. The first stage of the method distinguishes between those pedestrian-blob situations that need to be merged and those that require splitting, followed by the use of trained decision trees to separate the pedestrians. The second stage generates the trajectories of each pedestrian by using the point-correspondence method; however, we introduce a new point-correspondence algorithm for which the A* search method has been modified. By using fuzzy membership functions, a heuristic evaluation of the correspondence between the blobs was also conducted. The proposed method was implemented and tested with the PETS 2009 dataset to show an effective multiple-pedestrian-tracking capability in a pedestrian-interaction environment.

Analysis of Relative Importance on Evaluation Elements of Library Discovery (도서관 디스커버리의 평가요소에 대한 상대적 중요도 분석)

  • Kim, Seonghee
    • Journal of the Korean Society for Library and Information Science
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    • v.54 no.2
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    • pp.399-417
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    • 2020
  • In this study, we tried to analyze the relative importance of features for various functions provided by Discovery. We identified a total of 36 assessment items in five categories including contents, search function, serendipity, interactivity, and ease of use based on literature review. In order to objectively evaluate the relative importance of each evaluation element, an AHP technique was adopted. As a result, 'Easy of use' received the highest weighted value among the five categories, followed by 'contents', 'search function', 'interactivity', and 'serendipity'. In addition, among all the 36 assessment items, 'Quality of data for central index' had higher weighted value. These findings can be used as basic data to adopt a discovery tool for libraries.

Fuzzy Stretching Method of Color Image (컬러 영상에서의 퍼지 스트레칭 기법)

  • Kim, Kwang-Baek
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.5
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    • pp.19-23
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    • 2013
  • TIn this paper, we propose a novel fuzzy stretching method that adopts a triangle type fuzzy membership function to control the highest and lowest brightness limit dynamically. As an essential procedure to enhance the brightness contrast, stretching is an important procedure in color image processing. While popular Ends-in Search stretching method should be provided fixed minimum and maximum brightness threshold from experience, our proposed method determines them dynamically by fuzzy membership functions. The minimum and maximum limit is determined by computing the lowest and highest pixel value according to the membership degree of our designed triangle type membership function. The experiment shows that the proposed method result in far less skewed histogram than those of Ends-in Search stretching thus successfully verifies its effectiveness.

Consumers′ Information Search and Satisfaction in Electronic Commerce (전자상거래시 소비자정보탐색과 소비자만족에 관한 연구)

  • 김선량;정순희;차경욱
    • Journal of Families and Better Life
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    • v.20 no.6
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    • pp.95-107
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    • 2002
  • This study examined which factors were related to the amount of consumer information and the level of consumer satisfaction in electronic commerce. The sample (n= 426) was composed of those who had already engaged in e-commerce. T-test and ANOVA were completed to investigate how the amount of information and the level of satisfaction differ by socioeconomic, internet-related, and purchase-related characteristics of the consumers. The results of this study were as follows: First, consumers who were female and college graduates were more likely to search lots of information in e-commerce. The amount of consumer information was positively related to both the years of internet experiences and the time used on internet per day. Second, consumers who were male, aged on 30s, and who were college graduates with higher incomes were more likely to gather information about product functions, while consumers who were female with less experiences of internet shopping were more likely to consider the brand name. Third, income and education level were positively associated with the level of consumer satisfaction in e-commerce. Those who have experienced lots of purchase in e-commerce were generally satisfied with the shopping in e-commerce. Fourth, the amount of consumer information was positively related to the level of consumer satisfaction, especially satisfaction regarding product qualify and the convenience of shopping in e-commerce.

Stackelberg Game between Multi-Leader and Multi-Follower for Detecting Black Hole and Warm Hole Attacks In WSN

  • S.Suganthi;D.Usha
    • International Journal of Computer Science & Network Security
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    • v.23 no.8
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    • pp.159-167
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    • 2023
  • Objective: • To detect black hole and warm hole attacks in wireless sensor networks. • To give a solution for energy depletion and security breach in wireless sensor networks. • To address the security problem using strategic decision support system. Methods: The proposed stackelberg game is used to make the spirited relations between multi leaders and multi followers. In this game, all cluster heads are acts as leaders, whereas agent nodes are acts as followers. The game is initially modeled as Quadratic Programming and also use backtracking search optimization algorithm for getting threshold value to determine the optimal strategies of both defender and attacker. Findings: To find optimal payoffs of multi leaders and multi followers are based on their utility functions. The attacks are easily detected based on some defined rules and optimum results of the game. Finally, the simulations are executed in matlab and the impacts of detection of black hole and warm hole attacks are also presented in this paper. Novelty: The novelty of this study is to considering the stackelberg game with backtracking search optimization algorithm (BSOA). BSOA is based on iterative process which tries to minimize the objective function. Thus we obtain the better optimization results than the earlier approaches.

Challenges to Achieving Universal Health Coverage Throughout the World: A Systematic Review

  • Darrudi, Alireza;Khoonsari, Mohammad Hossein Ketabchi;Tajvar, Maryam
    • Journal of Preventive Medicine and Public Health
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    • v.55 no.2
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    • pp.125-133
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    • 2022
  • Objectives: No systematic review has explored the challenges related to worldwide universal health coverage (UHC). This study reviewed challenges on the road to UHC. Methods: A systematic electronic search of all studies that identified the challenges of worldwide UHC was conducted, without any restrictions related to the publication date or language. A hand search and a bibliographic search were also conducted to identify which texts to include in this study. These sources and citations yielded a total of 2500 articles, only 26 of which met the inclusion criteria. Relevant data from these papers were extracted, summarized, grouped, and reported in tables. Results: Of the 26 included studies, 7 (27%) were reviews, 6 (23%) were reports, and 13 (50%) had another type of study design. The publication dates of the included studies ranged from 2011 to 2020. Nine studies (35%) were published in 2019. Using the World Health Organization conceptual model, data on all of the challenges related to UHC in terms of the 4 functions of health systems (stewardship, creating resource, financing, and delivering services) were extracted from the included studies and reported. Conclusions: This study provides a straightforward summary of previous studies that explored the challenges related to UHC and conducted an in-depth analysis of viable solutions.

A Fuzzy Logic Controller for Speed Control of a DC Series Motor Using an Adaptive Evolutionary Computation

  • Hwang, Gi-Hyun;Hwang, Hyun-Joon;Kim, Dong-Wan;Park, June-Ho
    • Transactions on Control, Automation and Systems Engineering
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    • v.2 no.1
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    • pp.13-18
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    • 2000
  • In this paper, an Adaptive Evolutionary Computation(AEC) is proposed. AEC uses a genetic algorithm(GA) and an evolution strategy (ES) in an adaptive manner is order to take merits of two different evolutionary computations: global search capability of GA and local search capability of ES. In the reproduction procedure, proportions of the population by GA and ES are adaptively modulated according to the fitness. AEC is used to design the membership functions and the scaling factors of fuzzy logic controller (FLC). To evaluate the performances of the proposed FLC, we make an experiment on FLC for the speed control of an actual DC series motor system with nonlinear characteristics. Experimental results show that the proposed controller has better performance than that of PD controller.

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A study of selection operator using distance information between individuals in genetic algorithm

  • Ito, Minoru;Sugisaka, Masanori
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1521-1524
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    • 2003
  • In this paper, we propose a "Distance Correlation Selection operator (DCS)" as a new selection operator. For Genetic Algorithm (GA), many improvements have been proposed. The MGG (Minimal Generation Gap) model proposed by Satoh et.al. shows good performance. The MGG model has all advantages of conventional models and the ability of avoiding the premature convergence and suppressing the evolutionary stagnation. The proposed method is an extension of selection operator in the original MGG model. Generally, GA has two types of selection operators, one is "selection for reproduction", and the other is "selection for survival"; the former is for crossover and the latter is the individuals which survive to the next generation. The proposed method is an extension of the former. The proposed method utilizes distance information between individuals. From this extension, the proposed method aims to expand a search area and improve ability to search solution. The performance of the proposed method is examined with several standard test functions. The experimental results show good performance better than the original MGG model.

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