• Journal of The Korean Association of Information Education
• /
• v.24 no.2
• /
• pp.189-199
• /
• 2020

This study aims to emphasize the necessity of strengthening the information subject through the introduction of a new concept of rights called 'digital environmental rights' and proposes an improvement in the educational composition model of the information culture section in the information subject. Through the introduction of the concept of digital environmental rights, we intend to provide a logical basis for making the information subject a required subject. In addition, we intend to enhance the competencies required for living in a digital environment by improving the structure of the information culture section in the information subject. As a study on this, the logic of the concept of rights required in the digital environment is analyzed and the concept of digital environmental rights applied to it is established. Furthermore, by analyzing relevant curricula in major countries, including the United States, Australia, and Japan, which provide the main basis for digital environmental rights, an improvement plan for the educational composition in the information and culture education sector is formulated. The results of the study are as follows: First, digital environment rights are 'rights to enjoy a pleasant and safe digital environment'. Second, the components of digital environmental rights include rights for the environment (cyberethics), rights of the environment (cybersafety), and rights about the environment (cybersecurity). Third, in the major countries studied various educational structures are being implemented with regard to information-related education contents on the digital citizenship, code ethics, and new technology security.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.18 no.2
• /
• pp.75-91
• /
• 2015

This study aims to analyse the U-City characteristics through the U-City historical mapping. The U-City characteristics were analysed by building the U-City historical map in terms of STIM model which consists of service, technology, infrastructure and management. The data for analysis is the National Informatization White Paper published by the NIA (National Information Society Agency) from 2002 to 2013. As a result, first, the U-City service were evolved from administration informatization, enterprise informatization, administration/living informatization and administration/space/private informatization through the intelligence facilities and space. Second, the U-City technology were changed through wire network, sensor/network, processing/super-highway network, convergence of network/security. Third, the U-City infrastructure have had evolutionary process such as wire computer network, wire/wireless network, intellectualization facility and intelligent facility space. Forth, the U-City management were carried out with making the unit network/infrastructure management, information connection/operating management and information integration/participation management. Therefore, the history of U-City has been making rapid development in government computerization, computer oriented society, information city and ubiquitous city.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.30 no.12 s.159
• /
• pp.1800-1809
• /
• 2006

The wearable technology takes the concept of clothing over its limits -integrating software, communication devices, and sensors into the garments to enable them to 'think' for the wearer. A dress is no longer just a dress, but a dress as well as a wearable computer interface. This wearable computer network transports the data power and control signals within the wearer's personal space. The purpose of this thesis is to explore the wearable technology from a commercial perspective. On this theme I made a survey and interviewed 20 men and 20 women in London to find out if many people are familiar with the concept of the wearable technology. The main results of this study include: Firstly, according to the survey, people are not familiar with the concept of the wearable technology, and further people thought negatively about the wearable computer rather than positively they worried about hish prices, inappropriate technology and side effects. Secondly, people are especially interested in items related to health and security, so in this area there are huge potential opportunities for the wearable technology, Finally, wearable technology needs to be a simplified set of interactive devices, which are in a user friendly format for marketability because convenience was one of the biggest concern for consumers. Therefore, development of the wearable computer should be promoted not only through computer engineering but also through the connection with human lift.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2006.06a
• /
• pp.336-343
• /
• 2006

본 논문에서는 여권 영 상에서 PCA 알고리즘을 이용한 얼굴 인증과 개선된 퍼지 신경망을 이용한 여권 코드 인식 방법을 제안한다. 본 논문에서는 여권영상에 대해 소벨 연산자를 이용하여 에지를 추출하고 에지가 추출된 영상을 수평 스미어링하여 여권코드 영역을 추출한다. 추출된 여권 코드 영역의 기울기를 검사하여 기울기 보정을 하고, 여권 코드 영역을 이진화 한다. 이진화된 여권 코드 영역에 대하여 8방향윤곽선 추적 알고리즘을 적용하여 여권 코드를 추출한다. 추출된 여권 코드는 퍼지 신경망을 개선하여 여권 코드 인식에 적용한다. 개선된 퍼지 신경 망은 입력층과 중간층 사이의 학습 구조로는 FCM 클러스터링 알고리즘을 적용하고 중간층과 출력층 사이의 학습은 일반화된 델타학습 방법을 적용한다. 그리고 학습 성능을 개선하기 위하여 중간층과 출력층의 가중치 조정에 적용되는 학습률을 동적으로 조정하기 위해 퍼지 제어 시스템을 적용한다. 제안된 퍼지 신경망은 목표값과 출력값의 차이에 대한 절대값이 ${\epsilon}$ 보다 적거나 같으면 정확으로 분류하고 크면 부정확으로 분류하여 정확의 총 개수를 퍼지 제어 시스템에 적용하여 학습률과 모멘텀을 동적으로 조정한다. 여권의 주어진 규격에 근거하여 사진 영역을 추출하고 추출된 사진 영역에 대하여 YCbCr와 RGB 정보를 이용하여 얼굴영역을 추출한다. 추출된 얼굴 영역을 PCA 알고리즘과 스냅샷(Snap-Shot) 방법을 적용하여 얼굴 영역의 위조를 판별한다. 제안된 방법의 여권 코드 인식과 얼굴 인증의 성능을 평가하기 위하여 실제 여권 영상에 적용한 결과, 기존의 방법보다 여권 코드 인식과 얼굴 인증에 있어서 효율적인 것을 확인하였다.s, whereas AVs provide much better security.크는 기준년도부터 2031년까지 5년 단위로 계획된 장래도로를 반영하여 구축된다. 교통주제도 및 교통분석용 네트워크는 국가교통DB구축사업을 통해 구축된 자료로서 교통체계효율화법 제9조의4에 따라 공공기관이 교통정책 및 계획수립 등에 활용할 수 있도록 제공하고 있다. 건설교통부의 승인절차를 거쳐 제공하며 활용 후에는 갱신자료 및 활용결과를 통보하는 과정을 거치도록 되어있다. 교통주제도는 국가의 교통정책결정과 관련분야의 기초자료로서 다양하게 활용되고 있으며, 특히 ITS 노드/링크 기본지도로 활용되는 등 교통 분야의 중요한 지리정보로서 구축되고 있다..20{\pm}0.37L$, 72시간에 $1.33{\pm}0.33L$로 유의한 차이를 보였으므로(F=6.153, P=0.004), 술 후 폐환기능 회복에 효과가 있다. 4) 실험군과 대조군의 수술 후 노력성 폐활량은 수술 후 72시간에서 실험군이 $1.90{\pm}0.61L$, 대조군이 $1.51{\pm}0.38L$로 유의한 차이를 보였다(t=2.620, P=0.013). 5) 실험군과 대조군의 수술 후 일초 노력성 호기량은 수술 후 24시간에서 $1.33{\pm}0.56L,\;1.00{\ge}0.28L$로 유의한 차이를 보였고(t=2.530, P=0.017), 술 후 72시간에서 $1.72{\pm}0.65L,\;1.33{\pm}0.3L$로 유의한 차이를 보였다(t=2.540, P=0.016). 6) 대상자의 술 후 폐환기능에 영향을 미치는 요인은 성별로 나타났다. 이에 따

• Journal of Internet Computing and Services
• /
• v.18 no.2
• /
• pp.21-30
• /
• 2017

IoT(Internet of Things) can enable networking and computing using any devices is rapidly proliferated. In the existing IoT environment, bottlenecks and service delays can occur because it processes data and provides services to users using central processing based on Cloud. For this reason, Edge Computing processes data directly in IoT nodes and networks to provide the services to the users has attracted attention. Also, numerous researchers have been attracted to intelligent service efficiently based on Edge Computing. In this paper, expert system-based context awareness scheme for Edge Computing in IoT environment is proposed. The proposed scheme can provide customized services to the users using context awareness and process data in real-time using the expert system based on efficient cooperations of resource limited IoT nodes. The context awareness services can be modified by the users according to the usage purpose. The three service modes in the security system based on smart home are used to test the proposed scheme and the stability of the proposed scheme is proven by a comparison of the resource consumptions of the servers between the proposed scheme and the PC-based expert system.

• Journal of Intelligence and Information Systems
• /
• v.22 no.4
• /
• pp.87-107
• /
• 2016

Understanding market convergence has became essential for small and mid-size enterprises. Identifying convergence items among heterogeneous markets could lead to product innovation and successful market introduction. Previous researches have two limitations. First, traditional researches focusing on patent databases are suitable for detecting technology convergence, however, they have failed to recognize market demands. Second, most researches concentrate on identifying the relationship between existing products or technology. This study presents a platform to identify the opportunity of market convergence by using product databases from a global B2B marketplace. We also attempt to identify convergence opportunity in different industries by applying Structural Hole theory. This paper shows the mechanisms for market convergence: attributes extraction of products and services using text mining and association analysis among attributes, and network analysis based on structural hole. In order to discover market demand, we analyzed 240,002 e-catalog from January 2013 to July 2016.

• Journal of Intelligence and Information Systems
• /
• v.18 no.1
• /
• pp.91-107
• /
• 2012

As the Internet becomes more popular, many people use it to communicate. With the increasing number of personal homepages, blogs, and social network services, people often expose their personal information online. Although the necessity of those services cannot be denied, we should be concerned about the negative aspects such as personal information leakage. Because it is impossible to review all of the past records posted by all of the people, an automatic personal information detection method is strongly required. This study proposes a method to detect or classify online documents that contain personal information by analyzing features that are common to personal information related documents and learning that information based on the Na$\ddot{i}$ve Bayes algorithm. To select the document classification algorithm, the Na$\ddot{i}$ve Bayes classification algorithm was compared with the Vector Space classification algorithm. The result showed that Na$\ddot{i}$ve Bayes reveals more excellent precision, recall, F-measure, and accuracy than Vector Space does. However, the measurement level of the Na$\ddot{i}$ve Bayes classification algorithm is still insufficient to apply to the real world. Lewis, a learning algorithm researcher, states that it is important to improve the quality of category features while applying learning algorithms to some specific domain. He proposes a way to incrementally add features that are dependent on related documents and in a step-wise manner. In another experiment, the algorithm learns the additional dependent features thereby reducing the noise of the features. As a result, the latter experiment shows better performance in terms of measurement than the former experiment does.

• Journal of Convergence for Information Technology
• /
• v.11 no.12
• /
• pp.1-13
• /
• 2021

This study tried to suggest ways to improve the indicator system to strengthen the personal information protection. For this purpose, the components of indicator system are derived through domestic and foreign literature, and it was selected as main the diagnostic indicators through FGI/Delphi analysis for personal information protection experts and a survey for personal information protection officers of public institutions. As like this, this study was intended to derive an inspection standard that can be reflected as a separate index system for personal information protection, by classifying the specific IT technologies of the 4th industrial revolution, such as big data, cloud, Internet of Things, and artificial intelligence. As a result, from the planning and design stage of specific technologies, the check items for applying the PbD principle, pseudonymous information processing and de-identification measures were selected as 2 common indicators. And the checklists were consisted 2 items related Big data, 5 items related Cloud service, 5 items related IoT, and 4 items related AI. Accordingly, this study expects to be an institutional device to respond to new technological changes for the continuous development of the personal information management level diagnosis system in the future.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.3
• /
• pp.91-98
• /
• 2021

Today's information and communication technology is rapidly developing, the security of IT infrastructure is becoming more important, and at the same time, cyber attacks of various forms are becoming more advanced and sophisticated like intelligent persistent attacks (Advanced Persistent Threat). Early defense or prediction of increasingly sophisticated cyber attacks is extremely important, and in many cases, the analysis of network-based intrusion detection systems (NIDS) related data alone cannot prevent rapidly changing cyber attacks. Therefore, we are currently using data generated by intrusion detection systems to protect against cyber attacks described above through Host-based Intrusion Detection System (HIDS) data analysis. In this paper, we conducted a comparative study on machine learning algorithms using LID-DS (Leipzig Intrusion Detection-Data Set) host-based intrusion detection data including thread information, metadata, and buffer data missing from previously used data sets. The algorithms used were Decision Tree, Naive Bayes, MLP (Multi-Layer Perceptron), Logistic Regression, LSTM (Long Short-Term Memory model), and RNN (Recurrent Neural Network). Accuracy, accuracy, recall, F1-Score indicators and error rates were measured for evaluation. As a result, the LSTM algorithm had the highest accuracy.

• Journal of the Korea Convergence Society
• /
• v.12 no.3
• /
• pp.177-186
• /
• 2021

The 2015 revised curriculum is structured around the core competencies of the 21st century, this is in line with the world's flow of education, such as OECD Education 2030. A future practical leading model was studied to provide a variety of creative teaching and learning experiences to elementary and Secondary students using intelligent information technology to cultivate core competencies such as ICT and computing thinking. In order for this practical model to stably settle the school field, the training was planned and operated to strengthen the creative convergence education capacity required by the teachers at the unit school through various types of the training. In particular, a nationwide administrators training program was operated for three years, reflecting the new curriculum, teaching and learning methods, and evaluation that can lead to future convergence talent training. In this paper, the perception of creative convergence education was investigated and analyzed considering the influence that administrators may have on the school field. Based on this, through the three-year operation results of the training, it was intended to establish a new training method for stable access to future creative convergence education under the post-corona era's social issues.