• Journal of Practical Engineering Education
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• v.10 no.2
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• pp.81-87
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• 2018

During the major sections of the network, Software-defined network control technology for the network area corresponding to the transmission network is becoming a change in network-controlled environments utilizing network operation and provisioning across the network industry. Currently development is underway along with the deployment of PTN equipment and configuration for provisioning is being phased out. It is actively introducing establishment of SDN-based control system while constructing provisioning of PTN equipment from actual commercial network. Therefore, in this thesis, we are going to look at the contents and trends of SDN systems in packet-based transmission networks based on PTN and use them in research on OpenDaylight, an open source for configuring SDN. It then Network Operator will study the software defined control techniques for operational education.

• Journal of Practical Engineering Education
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• v.10 no.2
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• pp.103-111
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• 2018

The purpose of this study is to suggest change probability of vocational education and training and support of teaching-learning methods. For this study, we applied a flipped learning strategy of two learning modules in Convergence Technology Campus of public vocational education and training institute and had an operation class. As a result, student satisfaction of flipped learning is 4.0 on average. 56.1% of education-trainees were higher an engagement of flipped learning class than teacher-centered class and 56.1% of education-trainees were used more learning energy. Based on results, we suggested the necessity of pre-learning system for application of education and training teaching methods on the 4th industry occupation and strategies to enhance teaching and learning competency.

• Journal of Advanced Navigation Technology
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• v.27 no.3
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• pp.300-305
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• 2023

In this paper, we confirmed that an efficient sensor network can be established at a low cost by applying Geofencing technology to a LoRa-based sensor network and verified its effectiveness in disaster management such as forest fires. We detected changes through GPS, gyro sensors, and combustion detection sensors, and defined the validity size of the Geofencing cell accurately. We proposed a LoRa Payload Frame Structure that has a flexible size according to the size of the sensor information.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.882-883
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• 2023

최근 문제가 제조 현장에서 안전 조치 의무 미준수로 인한 산업재해가 이슈가 되고 있다. 산업 재해는 대부분의 경우 관리 부실이 가장 큰 요인이다. 따라서 관리적 부분에서 머신 비전과 행동인식, 유사도 검색 알고리즘을 도입하여 제조현장에서 발생하는 불상사를 예방하고자 한다. 가이드라인 접근, 위험한 행동, 안전 장비 착용 수칙을 미 준수할 경우 사전에 입력된 가이드라인에 따라 관리자와 노동자에게 알림 및 경고하는 시스템을 제안하는 것을 요지로 한다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.5
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• pp.354-358
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• 2015

The results of between resistance and optical transparency measurement in DOT-3 brake fluid contaminated moisture and particles generated from fraction of brake system was compared. Conventional resistance measurement method was known to be effaced by it's hygroscopic characteristics. However, the particle is a significant element of the contamination sources. Proposed optical transparency measurement is linear and effective than that of contamination in brake fluid.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.9-16
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• 2017

In this paper, we propose to present a model of cloud security that has emerged as the biggest topic of cloud computing, replacing the traditional IT environment. While cloud computing is an extension of existing IT technology, security issues and threats can be applied to traditional security technologies. However, the biggest difference between a typical computing environment and a cloud computing environment is a virtualized environment with a hypervisor. Currently, there are many weaknesses in the virtualized environment, and there are few related security products. In order for a cloud computing environment to function as a reliable IT environment, we expect more research on hypervisor-based security technologies, and we expect to secure safer cloud services through a secure model over the next generation of new-based networks.

• Journal of Korea Multimedia Society
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• v.24 no.7
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• pp.860-867
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• 2021

Lane detection is important technology for implementing ADAS or autonomous driving. Although edge detection has been typically used for the lane detection however, false detections occur frequently. To improve this problem, a deep learning based lane detection algorithm is proposed in this paper. This algorithm is mounted on an ARM-based embedded system to implement a LDW(lane departure warning). Since the embedded environment lacks computing power, the VGG-11, a lightweight model based on VGG-13, has been proposed. In order to evaluate the performance of the LDW, the test was conducted according to the test scenario of NHTSA.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.3
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• pp.101-109
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• 2019

In addition to enabling access, database accounts play a protective role by defending the database from external attacks. However, because only a single account is used in the database, the account becomes the subject of vulnerability attacks. This common practice is due to the lack of database support, large numbers of users, and row-based database permissions. Therefore if the logic of the application is wrong or vulnerable, there is a risk of exposing the entire database. In this paper, we propose a Least-Privilege Account Separation Model (LPASM) that serves as an information guardian to protect the database from attacks. We separate database accounts depending on the role of application services. This model can protect the database from malicious attacks and prevent damage caused by privilege escalation by an attacker. We classify the account control policies into four categories and propose detailed roles and operating plans for each account.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.319-322
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• 2021

4차 산업혁명 시대에는 빠른 무선 네트워크와 빅데이터를 기반으로 다양한 기술과 서비스들이 생겨나고 있다. 이런 환경 속에서 우리는 언제 어디서나 스마트폰을 통해 음악을 듣고, 게임을 하며, 웹서핑을 하는 등 PC에 버금가는 다양한 활동을 할 수 있다. 누구든 쉽게 전세계의 웹페이지에 접속하고 SNS를 통해 외국인 친구들과도 쉽게 연락을 할 수 있다. 기계 번역 기술 또한 이렇게 사용자가 늘어나는 만큼 빅데이터를 기반으로 그 정확도가 향상되고 있다. 그러나 일반 명사나 구문과는 다르게 은어, 외래어 등의 사용빈도가 상대적으로 낮은 단어들에 대한 기계 번역 정확도는 여전히 개선이 필요하다. 본 연구에서는 국내에서 가장 많이 사용되는 기계 번역기인 papago 번역기와 Google 번역기의 외래어 인식 정확도에 대한 비교 연구를 진행하였다. 추후, 본 연구 결과를 통해 앞으로의 새로운 연구 방향을 제시한다.

• Journal of the Korea Society of Computer and Information
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• v.22 no.4
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• pp.75-82
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• 2017

While the internet has evolved in terms of information sharing and efficiency, it is still prone to security attacks and remains vulnerable even when equipped with a security mechanism. Repeated patching against hacks involves excessive wear of system equipment and high costs. Methods of improving network security include the introduction of security equipment and network partitions, but they have not been fully effective. A fundamental solution is the Operation Content Network (OCN), which enables the strengthening of authentication. In this paper, Instead of following the existing TCP/IP system, OCN establishes an immunity-based security system through content-centric communications. Data transmission occurs over a Content Centric Network (CCN), which is provided with a protocol verified by the CCNx group. Areas protected by OCN rely only on CCN for communication without using any IP. As such, it defends the system against unknown attacks, including zero-day attacks.