• Proceedings of the Safety Management and Science Conference
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• 2008.11a
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• pp.649-658
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• 2008

This paper investigates the optimal nesting system for a board. A hybrid method is used to search the optimal solution for rectangular nesting problem. This method is composed of heuristic approach algorithm. An engineer's experience of board nesting in which a loss occurred to sheet because of various individual error and diffidence. So, item layout at resource sheet were evaluated in engineering algorithm logic in which specially designed was installed. The nesting system consists of Lisp and Visual Basic. The system was controlled by AutoCAD so as to best item batch path test.

• IEMEK Journal of Embedded Systems and Applications
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• v.16 no.6
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• pp.259-266
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• 2021

Edge Computing enables real-time big data processing by performing computing close to the physical location of the user or data source. However, in an edge computing environment, various situations that affect big data processing performance may occur depending on temporary service requirements or changes of physical resources in the field. In this paper, we proposed a BigCrawler system that dynamically configures the computing module and storage module according to the big data collection status and computing resource usage status in the edge computing environment. And the feature of big data processing workload according to the arrangement of computing module and storage module were analyzed.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.328-331
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• 2013

Incentive/Disincentive (I/D) contracting experiences in many states have been evaluated in terms of time and cost performance and substantial project time savings were found in many project cases. However, there is little understanding on individual project success factors for I/D projects during construction. This paper explores the significance of I/D clause in the success of the MacArthur Maze reconstruction project and summarizes a list of group causes that explains and elaborates on the detailed factors. The methods used for carrying out this study started with a search of online media and news reports and contract documents were also obtained from Caltrans. After review of the preliminary information, Interviews were performed with the Caltrans Resident Engineer and the contractor's project manager who were in charge of the MacArthur Maze reconstruction. In conclusion, the evaluation of their responses hinted at six significant cause groups responsible for the project's success. These groups can be listed as: 1) Motivation, 2) Policy, 3) Teamwork, 4) Communication, 5) Expectation, and 6) Resource Management.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.613-616
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• 2008

그리드는 분산된 이기종 자원을 활용하는 컴퓨팅 패러다임으로 초기 그리드 자원을 활용하기 위한 표준으로 OGSA(Open Grid Service Architecture)가 제안되었다. 글로버스 툴킷3은 사용자가 OGSA에 표준에 맞게 그리드를 구성할 수 있는 기능을 제공했다. 하지만 그 이후 웹 서비스 표준의 발전에 따라 그에 맞는 새로운 표준인 WSRF(Web Service Resource Framework)가 정의 되었고, 현재 WSRF 표준에 따라서 GT4가 개발되어 발표된 상황이다. 이에 본 논문에서는 기존의 OGSA 표준에 맞게 구축된 그리드 정보검색 서비스들을 WSRF 표준에 맞도록 새로운 표준 인터페이스를 정립하고, OGSA-DAI(Data Access & Integration) 컴포넌트를 통한 데이터 관리 기능을 추가함으로써 새로운 그리드 정보검색 서비스 프로토타입을 정의하고자 한다.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.119-126
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• 2024

The volume of genomic data is constantly increasing in various modern industries and research fields. This growth presents new challenges and opportunities in terms of the quantity and diversity of genetic data. In this paper, we propose a distributed cloud system for integrating and managing large-scale gene databases. By introducing a distributed data storage and processing system based on the Hadoop Distributed File System (HDFS), various formats and sizes of genomic data can be efficiently integrated. Furthermore, by leveraging Spark on YARN, efficient management of distributed cloud computing tasks and optimal resource allocation are achieved. This establishes a foundation for the rapid processing and analysis of large-scale genomic data. Additionally, by utilizing BigQuery ML, machine learning models are developed to support genetic search and prediction, enabling researchers to more effectively utilize data. It is expected that this will contribute to driving innovative advancements in genetic research and applications.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.4
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• pp.739-751
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• 2014

We are using our smartphone for our business as well as ours lives. Thus, user's privacy data and a company secret are stored at smartphone. By the way, the saved data on smartphone database can be exposed to a malicous attacker when a malicous app is installed in the smartphone or a user lose his/her smartphone because all data are stored as form of plaintext in the database. To prevent this disclosure of personal information, we need a database encryption method. However, if a database is encrypted, it causes of declining the performance. For example, when we search specific data in condition with encrypted database, we should decrypt all data stored in the database or search sequentially the data we want with accompanying overhead[1]. In this paper, we propose an efficient and searchable encryption method using variable length bloom filter under limited resource circumstances(e.g., a smartphone). We compare with existing searchable symmetric encryption. Also, we implemented the proposed method in android smartphone and evaluated the performance the proposed method. As a result through the implementation, We can confirm that our method has over a 50% improvement in the search speed compared to the simple search method about encrypted database and has over a 70% space saving compared to the method of fixed length bloom filter with the same false positive rate.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.3
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• pp.103-114
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• 2014

The purpose of this study is to find out the relationship between high involvement Human Resource Management and organizational effectiveness in small company. High involvement Human Resource Management practices include training, incentive, performance appraisal, participation, proposal, communication, job description. This research approached organizational effectiveness using internal process and goal. Internal process approach measured internal organizational health using aggregate organizational commitment, turnover intention, job search. Goal approach measured organizational growth using sales growth rate per employee and net income growth rate per employee. Using the collected data from 267 employees at 27 small-sized firms located in South region in Korea, this research tested and confirmed the construct validity regression analysis at the organizational level. This research came to the conclusions to as follows: First, high-involvement HRM had the positive effect on the organizational commitment. Second, high-involvement HRM had the negative effect on the turnover intention. The findings suggest that high-involvement HRM is a valuable construct to understand internal process approach of organizational effectiveness in small firms.

• Journal of Family Resource Management and Policy Review
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• v.9 no.2
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• pp.111-126
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• 2005

The purpose of the study was to find out some actual states qualities of consumers using of online mall users, as well as the factors that affect consumer satisfaction. A survey for this research was formed in order to find the consumer group between the ages of 20 and 30 who have experiences shopping online. From August 5th, 2002 to August 24th 2002, 424 were actually used tot this research The major results of the research were as follows. First, out of the people of the ages 20 to 30, the average age of people that actually purchase the online products was 27.7, and most were either office workers or students. Most of these people have purchased more than S products within a year, and won. Furthermore, $71.9\%$ of the payments were made using credit cards. The average days of using the Internet per week was 5.4 days, the average duration of utilization was 4 years, the average hours spent per day was 2 hours and 9 minutes, and the average time spent on searching information was 31 minutes per day. These peoples ability to put Internet to a practical use, their ability to use the information effectively, and the dangers of the Internet have received 3.66, 3.99, and 3.14 points out of the 5-point scale. In addition, the information search using the Internet received 3_44 points, and the consumer satisfaction received a fairly high score of 3.33 points. Second, the information searching factors involving the society and the Interact have showed efficiencies in people that received university education, people that purchase more than 3 products online per year, people that spend more than 100,000 won per year, and the people that make use of the Internet more often. Third, the customer satisfaction on Internet malls was greater in people that purchase more than 3 products, spend more than 100,000 won per year, make effective uses of the Internet, and Dow about the importance of the information search of the Internet. Fourth, the factors that affect customer satisfaction were the effectiveness of the Internet for searching information, the dangers of the Internet, and the hours spent on the Internet. The more uses of the Internet one makes, the less dangers one encounters, and the less one spends time on the internet, the higher ones customer satisfaction is was proven by this research.

• Asia pacific journal of information systems
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• v.17 no.4
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• pp.31-59
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• 2007

We frequently use search engines to find relevant information in the Web but still end up with too much information. In order to solve this problem of information overload, ranking algorithms have been applied to various domains. As more information will be available in the future, effectively and efficiently ranking search results will become more critical. In this paper, we propose a ranking algorithm for the Semantic Web resources, specifically RDF resources. Traditionally, the importance of a particular Web page is estimated based on the number of key words found in the page, which is subject to manipulation. In contrast, link analysis methods such as Google's PageRank capitalize on the information which is inherent in the link structure of the Web graph. PageRank considers a certain page highly important if it is referred to by many other pages. The degree of the importance also increases if the importance of the referring pages is high. Kleinberg's algorithm is another link-structure based ranking algorithm for Web pages. Unlike PageRank, Kleinberg's algorithm utilizes two kinds of scores: the authority score and the hub score. If a page has a high authority score, it is an authority on a given topic and many pages refer to it. A page with a high hub score links to many authoritative pages. As mentioned above, the link-structure based ranking method has been playing an essential role in World Wide Web(WWW), and nowadays, many people recognize the effectiveness and efficiency of it. On the other hand, as Resource Description Framework(RDF) data model forms the foundation of the Semantic Web, any information in the Semantic Web can be expressed with RDF graph, making the ranking algorithm for RDF knowledge bases greatly important. The RDF graph consists of nodes and directional links similar to the Web graph. As a result, the link-structure based ranking method seems to be highly applicable to ranking the Semantic Web resources. However, the information space of the Semantic Web is more complex than that of WWW. For instance, WWW can be considered as one huge class, i.e., a collection of Web pages, which has only a recursive property, i.e., a 'refers to' property corresponding to the hyperlinks. However, the Semantic Web encompasses various kinds of classes and properties, and consequently, ranking methods used in WWW should be modified to reflect the complexity of the information space in the Semantic Web. Previous research addressed the ranking problem of query results retrieved from RDF knowledge bases. Mukherjea and Bamba modified Kleinberg's algorithm in order to apply their algorithm to rank the Semantic Web resources. They defined the objectivity score and the subjectivity score of a resource, which correspond to the authority score and the hub score of Kleinberg's, respectively. They concentrated on the diversity of properties and introduced property weights to control the influence of a resource on another resource depending on the characteristic of the property linking the two resources. A node with a high objectivity score becomes the object of many RDF triples, and a node with a high subjectivity score becomes the subject of many RDF triples. They developed several kinds of Semantic Web systems in order to validate their technique and showed some experimental results verifying the applicability of their method to the Semantic Web. Despite their efforts, however, there remained some limitations which they reported in their paper. First, their algorithm is useful only when a Semantic Web system represents most of the knowledge pertaining to a certain domain. In other words, the ratio of links to nodes should be high, or overall resources should be described in detail, to a certain degree for their algorithm to properly work. Second, a Tightly-Knit Community(TKC) effect, the phenomenon that pages which are less important but yet densely connected have higher scores than the ones that are more important but sparsely connected, remains as problematic. Third, a resource may have a high score, not because it is actually important, but simply because it is very common and as a consequence it has many links pointing to it. In this paper, we examine such ranking problems from a novel perspective and propose a new algorithm which can solve the problems under the previous studies. Our proposed method is based on a class-oriented approach. In contrast to the predicate-oriented approach entertained by the previous research, a user, under our approach, determines the weights of a property by comparing its relative significance to the other properties when evaluating the importance of resources in a specific class. This approach stems from the idea that most queries are supposed to find resources belonging to the same class in the Semantic Web, which consists of many heterogeneous classes in RDF Schema. This approach closely reflects the way that people, in the real world, evaluate something, and will turn out to be superior to the predicate-oriented approach for the Semantic Web. Our proposed algorithm can resolve the TKC(Tightly Knit Community) effect, and further can shed lights on other limitations posed by the previous research. In addition, we propose two ways to incorporate data-type properties which have not been employed even in the case when they have some significance on the resource importance. We designed an experiment to show the effectiveness of our proposed algorithm and the validity of ranking results, which was not tried ever in previous research. We also conducted a comprehensive mathematical analysis, which was overlooked in previous research. The mathematical analysis enabled us to simplify the calculation procedure. Finally, we summarize our experimental results and discuss further research issues.

• The Journal of Pediatrics of Korean Medicine
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• v.29 no.4
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• pp.29-38
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• 2015

Objectives We aimed to identify the effectiveness of photobiomodulation using low level laser therapy (LLLT), light emitting diode (LED) and others on the growth of the length of the growth plate by reviewing literatures. Methods We searched literatures using PubMed, Science Direct, CINAHL, Korea Traditional Knowledge Portal (KTKP), Oriental Medicine Advanced Searching Integrated System (OASIS), China Knowledge Resource Integrated Database (CNKI), Japan Science and Technology Information Aggregator, Electronic (J STAGE), and Japan National Institute of Informatics Scholarly and Academic Information Navigator (CiNii) using the keywords "Growth plate" "Epiphyseal growth" "Epiphyseal plate" and "Laser", "light emitting diode (LED)", "near-infrared light", and "photobiomodulation". Search range included only original article which provided English abstract were selected. The search strategy contained no language limitation. Results A total 556 studies were found. Then, 551 were excluded by scanning titles and abstracts and finally 5 articles were selected. Five articles were RCTs using rodents. Two of the 5 articles used InGaAlP Laser (630-685 nm), and the other 3 articles used GaAlAs Laser (780, 820, and 870 nm) to investigated the effects of LLLT on the growth of the length of the epiphyseal cartilage and the number of chondrocytes and thickness of each zone of the epiphyseal cartilage. Two articles concluded that LLLT had a beneficial effect on the longitudinal growth of the growth plate. In growth of the epiphyseal plate, there were no significant differences in others. Conclusions It is might that LLLT influenced on the growth of epiphyseal plate by positive affect. However, further rigorous RCTs are warranted.