• 한국정보과학회논문지:정보통신
• /
• 제35권1호
• /
• pp.91-97
• /
• 2008

Ad hoc 네트워크에서 필요한 서비스를 사용하려면 먼저 원하는 서비스를 어떤 노드가 제공하는지, 또한 이런 서비스를 호출하려면 어떠한 방법을 사용해야 하는지 등의 정보를 알아내야 한다. 본 논문에서는 이러한 문제점들을 해결할 수 있는 DHT(Distributed Hash Table) 기반의 서비스 발견 프로토콜을 제안한다. 제안하는 프로토콜은 중앙 룩업 서버를 요구하지 않고 멀티캐스트나 플러딩을 사용하지 않기 때문에 확장성을 지닌다. 성능평가 결과, 제안하는 프로토콜은 확장성이 있고 기존의 서비스 탐색 프로토콜에 비해 나은 성능을 가짐을 알 수 있었다.

• Clinical and Experimental Reproductive Medicine
• /
• 제39권3호
• /
• pp.95-106
• /
• 2012

It has been revealed that multiple cohorts of tertiary follicles develop during some animal estrous cycle and the human menstrual cycle. To reach developmental competence, oocytes need the support of somatic cells. During embryogenesis, the primordial germ cells appear, travel to the gonadal rudiments, and form follicles. The female germ cells develop within the somatic cells of the ovary, granulosa cells, and theca cells. How the oocyte and follicle cells support each other has been seriously studied. The latest technologies in genes and proteins and genetic engineering have allowed us to collect a great deal of information about folliculogenesis. For example, a few web pages (http://www.ncbi.nlm. nih.gov; http://mrg.genetics.washington.edu) provide access to databases of genomes, sequences of transcriptomes, and various tools for analyzing and discovering genes important in ovarian development. Formation of the antrum (tertiary follicle) is the final phase of folliculogenesis and the transition from intraovarian to extraovian regulation. This final step coordinates with the hypothalamic-pituitary-ovarian axis. On the other hand, currently, follicle physiology is under intense investigation, as little is known about how to overcome women's ovarian problems or how to develop competent oocytes from in vitro follicle culture or transplantation. In this review, some of the known roles of hormones and some of the genes involved in tertiary follicle growth and the general characteristics of tertiary follicles are summarized. In addition, in vitro culture of tertiary follicles is also discussed as a study model and an assisted reproductive technology model.

• 아태비즈니스연구
• /
• 제7권1호
• /
• pp.11-30
• /
• 2016

The study specifically aimed to identify factors affecting business longevity. It focused on knowing how embroidery enterprises managed to persist in the industry for many years despite the competitive business environment. After discovering the significant relationships of such factors to longevity, problems experienced by the enterprise cluster were ascertained in order to come up with recommendations that can be proposed to the enterprise owners. Embroidery entrepreneurs have been experiencing a continuous decline in sales due to lack of innovation and intense competition. In the evaluation of their personal entrepreneurial competencies, they scored low on risk-taking, persuasion and networking, and opportunity seeking; thus, implying that these are their weaknesses. On the other hand, the statistical results of this study say that longevity is a function of the entrepreneur's competencies (i.e., persistence, commitment to work contract, demand for quality and efficiency, information seeking, and systematic planning or monitoring), the generation currently managing the business, competition, and the customer's preferences. These results suggest that these independent variables are significant and are deemed critical to business longevity. Thus, entrepreneurs have to find ways on how to use these competencies as an advantage in reinventing their businesses and in reviving their industry.

• 한국지능시스템학회논문지
• /
• 제13권3호
• /
• pp.366-370
• /
• 2003

In this research, we suggest a hybrid intelligent Web recommendation systems based on Web data mining and case-based reasoning (CBR). One of the important research topics in the field of Internet business is blending artificial intelligence (AI) techniques with knowledge discovering in database (KDD) or data mining (DM). Data mining is used as an efficient mechanism in reasoning for association knowledge between goods and customers＇ preference. In the field of data mining, the features, called attributes, are often selected primary for mining the association knowledge between related products. Therefore, most of researches, in the arena of Web data mining, used association rules extraction mechanism. However, association rules extraction mechanism has a potential limitation in flexibility of reasoning. If there are some goods, which were not retrieved by association rules-based reasoning, we can＇t present more information to customer. To overcome this limitation case, we combined CBR with Web data mining. CBR is one of the AI techniques and used in problems for which it is difficult to solve with logical (association) rules. A Web-log data gathered in real-world Web shopping mall was given to illustrate the quality of the proposed hybrid recommendation mechanism. This Web shopping mall deals with remote-controlled plastic models such as remote-controlled car, yacht, airplane, and helicopter. The experimental results showed that our hybrid recommendation mechanism could reflect both association knowledge and implicit human knowledge extracted from cases in Web databases.

• Smart Structures and Systems
• /
• 제15권3호
• /
• pp.897-911
• /
• 2015

This study presents a novel approach based on advancements in Evolutionary Computation for data-driven modeling of complex multi-dimensional memory-dependent systems. The investigated example is a benchmark coupled three-dimensional system that incorporates 6 Bouc-Wen elements, and is subjected to external excitations at three points. The proposed technique of this research adapts Genetic Programming for discovering the optimum structure of the differential equation of an auxiliary variable associated with every specific degree-of-freedom of this system that integrates the imposed effect of vibrations at all other degrees-of-freedom. After the termination of the first phase of the optimization process, a system of differential equations is formed that represent the multi-dimensional hysteretic system. Then, the parameters of this system of differential equations are optimized in the second phase using Genetic Algorithms to yield accurate response estimates globally, because the separately obtained differential equations are coupled essentially, and their true performance can be assessed only when the entire system of coupled differential equations is solved. The resultant model after the second phase of optimization is a low-order low-complexity surrogate computational model that represents the investigated three-dimensional memory-dependent system. Hence, this research presents a promising data-driven modeling technique for obtaining optimized representative models for multi-dimensional hysteretic systems that yield reasonably accurate results, and can be generalized to many problems, in various fields, ranging from engineering to economics as well as biology.

• 한국인터넷방송통신학회논문지
• /
• 제20권6호
• /
• pp.145-150
• /
• 2020

정부의 포용적 복지국가 실현 정책에 따라 복지관련 서비스가 다양해지고 복지 급여의 수급 대상자의 범위가 확대됨에 따라 사각지대 관리의 중요성이 높아지고 있다. 이에 따라 사회안전망의 확충이 주요 관심사로 제시되고 있으며 복지위기의 사각지대 관리를 위하여 저소득층 소득과 자립을 지원하고 빈곤·위기 가구를 적극적으로 발굴 및 지원하는 내용의 사회안전망 관리가 필요하다. 본 논문에서는 복지사각지대 관리를 위하여 사각지대 관련 다양한 문제점을 검토하고 사각지대의 범위를 고려하여 블록체인 기반 분산 ID의 적용가능성과 분산 ID(Decentralized Identifier) 기술의 단계별 적용 가능성을 제안하였다.

• 한국사회복지학
• /
• 제68권1호
• /
• pp.193-224
• /
• 2016

본 연구는 사회보장정보시스템을 통한 데이터감시를 사례로, 사회복지영역의 정보화를 둘러싼 윤리적 쟁점들을 짚어보는 데 그 목적이 있다. 2015년 정부는 차세대 사회보장정보시스템을 개발하면서 정보시스템을 통한 부정수급 적발과 사각지대 발굴기능을 강화할 계획이라고 밝혔다. 그러나 부정수급과 사각지대를 조사하기 위해서는 취약계층에 대한 데이터감시가 불가피하다. 이에 본 논문은 데이터 감시를 둘러싼 논쟁들을 살펴보고, 이어서 사회보장정보시스템을 활용한 데이터감시가 어떤 윤리적 문제점을 안고 있는지 프라이버시, 정확성, 소유권, 접근성의 이슈를 중심으로 구체적으로 분석했다. 나아가 데이터감시를 넘어 정보화 시대에 사회복지가 고민해야할 본질적인 윤리적 딜레마들을 살펴본 후, 시론적 수준에서나마 윤리적 난제들을 개선하기 위한 방안을 제안해보고자 했다.

• 한국정보시스템학회지:정보시스템연구
• /
• 제27권2호
• /
• pp.1-28
• /
• 2018

Purpose More than 7.6 million mobile apps could be approved on both Apple iTunes Store and Google Play. For managing those existed Apps, Apple Inc. established twenty-four primary categories, as well as Google Play had thirty-three primary categories. However, all of their categorizations have appeared more and more problems in managing and classifying numerous apps, such as app miscategorized, cross-attribution problems, lack of categorization keywords index, etc. The purpose of this study focused on introducing individual information cognitive processing as the classification criteria to update the current categorization on Apple iTunes Store. Meanwhile, we tried to observe the effectiveness of the new criteria from a classification process on Apple iTunes Store. Design/Methodology/Approach A research approach with four research stages were performed and a series of mixed methods was developed to identify the feasibility of adopting individual information cognitive processing as categorization criteria. By using machine-learning techniques with Term Frequency-Inverse Document Frequency and Singular Value Decomposition, keyword lists were extracted. By using the prior research results related to car app's categorization, we developed individual information cognitive processing. Further keywords extracting process from the extracted keyword lists was performed. Findings By TF-IDF and SVD, keyword lists from more than five thousand apps were extracted. Furthermore, we developed individual information cognitive processing that included a categorization teaching process and learning process. Three top three keywords for each category were extracted. By comparing the extracted results with prior studies, the inter-rater reliability for two different methods shows significant reliable, which proved the individual information cognitive processing to be reliable as criteria of categorization on Apple iTunes Store. The updating suggestions for Apple iTunes Store were discussed in this paper and the results of this paper may be useful for app store hosts to improve the current categorizations on app stores as well as increasing the efficiency of app discovering and locating process for both app developers and users.

• 디지털콘텐츠학회 논문지
• /
• 제18권8호
• /
• pp.1475-1480
• /
• 2017

사용자 경험은 중국 휴대폰 책읽기 앱이 혁신적으로 발전하는 중요한 경로이다. 설비, 플랫폼, 매체, 내용 및 형식은 이동식 매체 사용자 경험의 대상 전체로 구성된다. 사용자 요구을 이해하는 것은 사용자 경험을 향상시키는 논리적인 출발점이다. 본 연구는 사용자가 실제 사용 환경에서 전자 도서의 찾기 및 다운로드, 앱 화면 설치 및 경험, 음성의 낭독 체험, 평가 및 공유 네가지를 진행하게 한다. 사용자에 대한 관찰 및 인터퓨를 바탕으로 관련된 문제를 수집하고 정리를 통하여 사용자로 하여금 불쾌한 요소를 선별한다. 이상 문제에 대하여 초점을 맞춰 본 연구는 중국 휴대폰식 책읽기 앱을 개선하는 구체적인 의견을(가이드라인) 제시한다.

• 융합정보논문지
• /
• 제11권5호
• /
• pp.138-149
• /
• 2021

우리 사회가 기하급수적으로 발달하고 있는데 학교는 사회의 발전 속도를 따라잡지 못하고 있으며, 학생들의 성장발달에 맞는 디지털 리터러시 교육을 하지 못하고 있다. 이에 이 연구에서는 학교현장의 디지털 리터러시 교육의 실태와 문제점을 파악하여 디지털 리터러시 교육의 발전 방향을 모색하였다. 2015 교육과정이 운영되는 현재의 학교 실태를 파악하여 우리 학교가 나아갈 디지털 리터러시 교육의 발전 방향을 모색하였다. 첫째, 노후화된 디지털 기기를 교체하고, 학생 개인별로 노트북이나 스마트 기기를 제공하여야 하며, 학교 전체 어디서나 인터넷을 사용할 수 있어야 한다. 둘째, 교사들에게도 다양한 연수 기회를 제공하여 교사 수준에 맞는 디지털 리터러시 교육이 이루어져야 한다. 셋째, 논리적 사고를 표현할 수 있는 코딩교육, 문제를 발견하고 주어진 문제를 컴퓨터 프로그래밍 언어로 자동화하는 알고리즘 영역의 수준을 높이는 소프트웨어 교육이 이루어져야 하며, 그것을 작동해 볼 수 있는 로봇, 3D 프린터 등 디지털 교구가 충분하게 제공되어야 한다.