• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.183-188
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• 2022

Recently, more and more researches aimed at the development of automated and autonomous ships are appearing in the scientific environment. One of the main reason is the need to solve the problems of safe navigation and reducing accidents due to human factor, as well as the ever-increasing problem associated with the lack of qualified maritime personnel. Development of technologies based on application of artificial intelligence also plays important role, after all for realization of autonomous navigation concept and enhancement of ship automatic maneuvering processes, advancement of maneuvering functions and elaboration of specific algorithms on prevention of close quarter situations and dangerous approach of ships will be required. The purpose of this work is the review of preconditions of occurrence of the autonomous ship navigation conception, overview of introduction stages and prospects for ship remote control based on unmanned technologies, analysis of technical and intellectual decisions of autonomous surface ships, main research tendencies. The research revealed that the technology of autonomous ship navigation requires further development and improvement, especially in terms of the data transmission protocols upgrading, sensors of navigation information and automatic control systems modernization, which allows to perform monitoring of equipment with the aim of improving the functions of control over the autonomous surface ship operation.

• Asia pacific journal of information systems
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• 제33권4호
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• pp.863-898
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• 2023

Previous studies have shown that insiders pose risks to the security of organisations' secret information. Information security policy (ISP) intentional violation can jeopardise organisations. For years, ISP violations persist despite organisations' best attempts to tackle the problem through security, education, training and awareness (SETA) programs and technology solutions. Stopping hacking attempts e.g., phishing relies on personnel's behaviour. Therefore, it is crucial to consider employee behaviour when designing strategies to protect sensitive data. In this case, organisations should also focus on improving employee behaviour on security and creating positive security perceptions. This paper investigates the role of psychological capital (PsyCap), punishment and organisational security resources in influencing employee behaviour and ultimately reducing ISP violations. The model of the proposed study has been modified to investigate the connection between self-efficacy, resilience, optimism, hope, perceived sanction severity, perceived sanction certainty, security response effectiveness, security competence and ISP violation. The sample of the study includes 364 bank employees in Jordan who participated in a survey using a self-administered questionnaire. The findings show that the proposed approach acquired an acceptable fit with the data and 17 of 25 hypotheses were confirmed to be correct. Furthermore, the variables self-efficacy, resilience, security response efficacy, and protection motivation directly influence ISP violations, while perceived sanction severity and optimism indirectly influence ISP violations through protection motivation. Additionally, hope, perceived sanction certainty, and security skills have no effect on ISP infractions that are statistically significant. Finally, self-efficacy, resiliency, optimism, hope, perceived severity of sanctions, perceived certainty of sanctions, perceived effectiveness of security responses, and security competence have a substantial influence on protection motivation.

• International Journal of Computer Science & Network Security
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• 제24권8호
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• pp.179-183
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• 2024

This article identifies the problems and substantiates the directions for the development of distance learning technologies in the training of personnel. An example of using digital media to create a remote access laboratory is given. The article is devoted to the definition of the main aspects of the organization of distance education. Rapid digitization, economic, political and social changes taking place in Ukraine necessitate the reform of the education system. First of all, it concerns meeting the educational needs of citizens throughout their lives, providing access to educational and professional training for all who have the necessary abilities and adequate training. The most effective solution to the above-mentioned problems is facilitated by distance learning. The article analyzes the essence and methods of distance learning organization, reveals the features of the use of electronic platforms for the organization of this form of education in different countries of the world. The positive characteristics of distance learning are identified, namely: extraterritoriality; savings on transport costs; the interest of modern youth in the use of information tools in everyday life; increase in the number of students; simplicity and accessibility of training; convenient consultation system; democratic relations between the student and the teacher; convenience for organizations in training their employees without interrupting their regular work; low level of payment for distance education compared to traditional education; individual learning pace; new teacher status. Among the negative features of online education, the author refers to the following problems: authentication of users during knowledge verification, calculation of the teacher's methodological load and copyright of educational materials; the high labor intensity of developing high-quality educational content and the high cost of distance learning equipment; the need to provide users with a personal computer and access to the Internet; the need to find and use effective motivation mechanisms for education seekers.

• 대한치과보철학회지
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• 제56권3호
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• pp.188-198
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• 2018

목적: 최근 디지털 기술의 발달과 더불어 치과영역에서도 다양한 보철물 제작을 위해 Computer aided design/computer aided manufacture (CAD/CAM) 시스템의 사용이 확대되고 있다. CAD/CAM 시스템은 전통적인 방식의 보철물 제작의 단점을 극복하여, 치과의사와 치기공사가 보철물을 제작할 때, 환자에게 한 두 번의 병원 방문으로도 정확하고 정밀도 높은 보철물의 제공이 가능하게 할 수 있다. 본 논문은 현재 국내의 CAD/CAM 시스템 현황 및 인식을 파악함으로써 새로 장비를 도입할 때 고려해야 할 항목에 대한 조언을 제공하고자 한다. 대상 및 방법: 본 설문 조사는 서울대학교 치과 병원을 포함한 전국 298 명의 치과의사, 치과위생사 및 치과기공사를 대상으로 2016년 11월부터 12월까지 2 개월간 우편을 통해 실시하였다. 결과: 치과용 CAD/CAM 밀링기 구매 시 가장 고려하는 요인은 밀링기의 성능(64.43%)이었으며 용도는 치과보철물 제작과 임플란트용 맞춤형 지대주 제작이 49.33%로 가장 높았다. 또한, 응답자의 약 60% 이상이 CAD/CAM 밀링기가 만족할 만한 성능으로 개선된다면 새로운 장비의 구매에 대해 긍정적인 답변을 보였다. 결론: 설문조사 분석결과, 성능이 개선된 CAD/CAM 밀링기 디지털화 및 4차 산업혁명을 대비하는 치과산업에서 중요한 역할을 할 것으로 여겨진다.

• 인터넷정보학회논문지
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• 제23권6호
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• pp.39-48
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• 2022

전 세계적으로 사이버 공격은 계속 증가해 왔으며 그 피해는 정부 시설을 넘어 민간인들에게 영향을 미치고 있다. 이러한 문제로 사이버 이상징후를 조기에 식별하여 탐지할 수 있는 시스템 개발의 중요성이 강조되었다. 위와 같이, 사이버 이상징후를 효과적으로 식별하기 위해 BGP(Border Gateway Protocol) 데이터를 머신러닝 모델을 통해 학습하고, 이를 이상징후로 식별하는 여러 연구가 진행되었다. 그러나 BGP 데이터는 이상 데이터가 정상 데이터보다 적은 불균형 데이터(Imbalanced data)이다. 이는, 모델에 학습이 편향된 결과를 가지게 되어 결과에 대한 신뢰성을 감소시킨다. 또한, 실제 사이버 상황에서 보안 담당자들이 머신러닝의 정형적인 결과로 사이버 상황을 인식시킬 수 없는 한계도 존재한다. 따라서 본 논문에서는 전 세계 네트워크 기록을 보관하는 BGP(Border Gateway Protocol)를 조사하고, SMOTE(Synthetic Minority Over-sampling Technique) 활용해 불균형 데이터 문제를 해결한다. 그 후, 사이버 공방(Cyber Range) 상황을 가정하여, 오토인코더를 통해 사이버 이상징후 분류하고 분류된 데이터를 가시화한다. 머신러닝 모델인 오토인코더는 정상 데이터의 패턴을 학습시켜 이상 데이터를 분류하는 성능을 92.4%의 정확도를 도출했고 보조 지표도 90%의 성능을 보여 결과에 대한 신뢰성을 확보한다. 또한, 혼잡한 사이버 공간을 가시화하여 효율적으로 상황을 인식할 수 있기에 사이버 공격에 효과적으로 방어할 수 있다고 전망된다.

• 패션비즈니스
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• 제16권3호
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• pp.125-135
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• 2012

Since knitted textile products mostly do not require long span of time from the conception to the final products, they have lead the fashion trends during the recent decades. Developments in the textile engineering industries, and computer software and hardware industries have made the 3D virtual clothing software system easily accessible by the fashion/textile industry personnel. The simulated models of apparel products using the state-of-the-art virtual clothing systems are, however, not the replica of real-world garments. Moreover, the garments do not maintain fixed shapes during wearing. Deformations at low external stress lead to difficulties in predicting the behavior of the knitted garments. Therefore, there is a need to compare the differences in appearances, textures, or other related properties between simulated fabrics and actual fabrics. Three knit stitches including jersey, rib, and cable stitches are examined in this study. The differences between fluffy thick yarns and thin yarns are also compared using 3D scanning and surface reconstruction. Obtained three-dimensional data regarding the reconstructed knit specimens would help to build a data base for estimating the behavior of the 3D models of the knitted garments.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2004년도 춘계 학술대회 발표논문집
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• pp.205-208
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• 2004

The aim of this study is to analyse the adjustment of the proportion of segment duration in imitating voice. When imitating others' voices, how far is his/her original proportion of segment duration adjusted, and what is this adjustment like under various segments? In this study, I classified segments into consonants and vowels and consonants classified into obstruents and sonorants. The result of the analysis is as follows. ; (1)Individual variation in the proportion of obstruent is not significant, and when imitating, and its distribution is not typicalized. (2) Vowels has individual variation in the proportion of segment duration even under imitating. (3) Nasal has the most distinct individual variation even under imitating, compared with vowel and obstruent. For the further study, I should examine the characteristics of quantitative and qualitative changes in liquid (among sonorant) to find out which segment can best describe personnel characteristics of the proportion of segment duration in imitating voice.

• 한국인공지능학회지
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• 제5권2호
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• pp.15-25
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• 2017

Recently, technologies are being developed to recognize and authenticate users using bioinformatics to solve information security issues. Biometric information includes face, fingerprint, iris, voice, and vein. Among them, face recognition technology occupies a large part. Face recognition technology is applied in various fields. For example, it can be used for identity verification, such as a personal identification card, passport, credit card, security system, and personnel data. In addition, it can be used for security, including crime suspect search, unsafe zone monitoring, vehicle tracking crime.In this thesis, we conducted a study to recognize faces by detecting the areas of the face through a computer webcam. The purpose of this study was to contribute to the improvement in the accuracy of Recognition of Face Based on CNN Algorithms. For this purpose, We used data files provided by github to build a face recognition model. We also created data using CNN algorithms, which are widely used for image recognition. Various photos were learned by CNN algorithm. The study found that the accuracy of face recognition based on CNN algorithms was 77%. Based on the results of the study, We carried out recognition of the face according to the distance. Research findings may be useful if face recognition is required in a variety of situations. Research based on this study is also expected to improve the accuracy of face recognition.

• 시스템엔지니어링학술지
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• 제8권2호
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• pp.19-25
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• 2012

As modern weapon systems have evolved into embedded software systems, the capability to develop, install, and maintain high-quality software products is becoming increasingly valuable in today's competitive aerospace and defense industry. It is desirable, especially for government-contracted projects whose end-users are military personnel, that specific types of software quality elements are assured early during product development; namely, functionality and usability. Motivated by this need to approach improving software quality from a user's perspective, this paper presents a case study that analyzes system-level software integration testing results for a weapon system indigenously developed in the Republic of Korea. Quantitative data, such as software defect ratios and configuration change rates, are computed to observe meaningful trends with respect to functionality - represented by tests designed to verify the system's electrical signal interfaces - and usability, which is evaluated in terms of how often the initial human-computer interface had to be re-designed. Insights gained from these exercises are subsequently presented as a set of "lessons learned" to take into account when developing new software items for complex weapon systems.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제6권7호
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• pp.321-328
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• 2017

사이버 위협이 고도화되고 지능화되어짐에 따라 사이버 침해사고로 인한 피해사례가 급격하게 증가하고 있다. 이로 인해 사이버보안 전문인력의 중요성을 인식하여 다수의 사이버 보안관련 교육 프로그램이 운영되고 있지만 사이버보안 인력 현황 및 직무에 기반한 사이버보안 교육연구가 이루어지 않아서 교육 수요자 및 공급자가 목표한 교육과정이 제공되지 않고 있다. 이에 따라 본 연구에서는 사이버보안 인력 및 지식체계를 정의하고 이를 반영한 새로운 사이버보안 교육 커리큘럼을 개발하였다. 본 연구에서 개발한 교육 커리큘럼은 기존 교육 커리큘럼에서 강조하고 있는 방어와 관련된 교육내용만으로 구성하는 것이 아니라, 공격분야의 교육내용을 추가하여 전문적이고 균형적인 사이버보안 인력양성을 위한 교육 커리큘럼을 개발 및 개선하였다.