• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.629-630
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• 2006

This paper present a design experience of supervisory control system platform for agile and intelligent manufacturing(AIM). Embodied integrated environment that can do in place that do work direction, analysis command file generation, achievement using Petrinet-type Graphical Language(PGL) in proposed Supervisory Control System. Also, embodying whole system software in Modular done form, did to have extensity to fit in developer's requirement.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.14-15
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• 2019

Pilotage & Tugs Assistance Service in Korean e-Navigation provides port monitoring which presents features of port by utilizing dynamic and static information of vessel, weather data, water way information and etc. It also supports process related to pilotage and tugs according to each user types. This study suggests how this services can be utilized after practicalization and describes expectation from applying this utilization. The Pilotage & Tugs Assistance Service is expected to be platform for Pilotage & Tug by further research and development.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.498-500
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• 2022

CCTV protects people and assets safely by identifying dangerous situations and responding promptly. However, it is difficult to continuously monitor the increasing number of CCTV images. For this reason, there is a need for a device that continuously monitors CCTV images and notifies when abnormal behavior occurs. Recently, many studies using artificial intelligence models for image data analysis have been conducted. This study simultaneously learns spatial and temporal characteristic information between image data to classify various abnormal behaviors that can be observed in CCTV images. As an artificial intelligence model used for learning, we propose a multi-classification deep learning model that combines an end-to-end 3D convolutional neural network(CNN) and ResNet.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.8-15
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• 2018

This article investigates intelligent security integrated platform for real-time crime response and preventive crime prevention. This study analyzed intelligent crime prevention platform elements by analyzing crime prevention system/platform research, intelligent crime prevention research, and case study of municipality integrated operation center crime prevention system. Through this, we developed a practical intelligent security platform, and suggested a linkage with existing municipalities and smart city integrated platform system considering scalability. This enables CCTV monitoring, which is used only for existing post processing, to cope with real-time crime. It is expected that it will be able to solve the incidents in golden-time by grasping the precise position of the complainant not only in the outdoor but also indoors. It is also possible to provide citizen-centered crime-prevention social safety net information sharing service by enhancing citizen participation as well as improving control efficiency. The intelligent security platform has advantages that it is easy to spread the municipality because it is developed considering existing municipal system, smart city integration platform, and linkage and expansion with other security services.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.85-87
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• 2002

본 논문은 씬 서버들을 클러스터로 구성한 서비스 서버들의 모니터링 항목 값을 인터넷으로 연결된 모니터링 서버에서 수집할 수 있는 모니터링 시스템을 구성한다. 본 시스템은 MS .NET 플랫폼에서 제공하는 성능 모니터 클래스를 사용하여 구현하였으며, 일반적인 모니터링 시스템과 달리 토픽기반 메시지 처리기를 사용하여 다양한 클라이언트의 요구에 적절히 대응할 수 있고, 지역 네트워크뿐만 아니라 인터넷으로 연결된 원격 네트워크의 클라이언트로 수집된 모니터링 항목 값을 전송할 수 있다.

• The KIPS Transactions:PartC
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• v.11C no.5
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• pp.703-710
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• 2004

WebDAV is a protocol to support collaboration among one or more groups in geographically distant locations through the internet. WebDAV extends the web communication protocol HTTP/1.1 to provide a standard infrastructure for .supporting asynchronous collaboration for various contents across the internet. A WebDAV client uses HTTP requests to perform a renewal and update action to the resources in WebDAY servers. So, it is desirable that the client supports the ability of authoring and version management with a good concurrency control and property management. In this paper, to enhance usability, we developed a .NET-based WebDAV client with a user interface similar to the Windows Explorer. The developed WebDAV client supports easy launching of the authoring application and appropriate lock control for the server resources. In addition, through the functionality of process monitoring, it supports automatic update of the server resources when the modification of the resources are completed by the user. The WebDAY client is a .NET-based application written in the C＃ language, running on any platform supporting a .NET framework.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.6
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• pp.1639-1646
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• 2008

This study designed and realized a new type of RFID middle-ware based on .NET Compact Framework platform using PXA255 embedded board and Windows CE as operating system. The proposed embedded RFID middle-ware system controls via LAN a number of RFID sensors using RS-232 as interface and was designed on the basis of components of each function necessary RFID middle-ware. Application module operating in the SOA environment analyzes the data received from the RFID sensors with the embedded RFID middle-ware and in turn performs appropriate business logic. Client module to be used by end users can use RFID information in database, by web method call of application.

• Journal of Platform Technology
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• v.10 no.3
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• pp.44-50
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• 2022

Research on facial age estimation is being actively conducted because it is used in various application fields. Facial images taken in various environments often have occlusions, and there is a problem in that performance of age estimation is degraded. Therefore, we propose age estimation method by creating an occluded part using image extrapolation technology to improve the age estimation performance of an occluded face image. In order to confirm the effect of occlusion in the image on the age estimation performance, an image with occlusion is generated using a mask image. The occluded part of facial image is restored using SpiralNet, which is one of the image extrapolation techniques, and it is a method to create an occluded part while crossing the edge of an image. Experimental results show that age estimation performance of occluded facial image is significantly degraded. It was confirmed that the age estimation performance is improved when using a face image with reconstructed occlusions using SpiralNet by experiments.

• Informatization Policy
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• v.25 no.1
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• pp.3-29
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• 2018

The Federal Communications Commission voted to repeal net neutrality protections on December 14, 2017. This is the very opposite decision of the net neutrality rule that the Obama administration has consistently maintained. The ensuing storm from the repeal of net neutrality protections has an extensively effect enough on individuals and businesses to cover the entire spectrum, and the impact is hard to assess in the U. S. content industry, which dominates the worldwide Internet content and platform market. On the other hand, Korea's net neutrality protections have been firmly pursued, and there is no sign of change even after the decision happened in the U. S. Net neutrality is not a simple theme that is associated with the Constitution, such as freedom of expression, as well as the issue of network enhancement to prepare for 5G. Accordingly, this study examines how the net neutrality has been carried out in the U. S. and Korea over the years, and provides the issues of Internet enhancement, perspectives of ISP and ICP, and implications for the Constitution, market economy, fair competition and zero rating. This research delivers future direction and implications of domestic net neutrality policies.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.221-229
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• 2018

Machine learning and artificial intelligence are core technologies for the 4th industrial revolution. However, it is difficult for the general public to get familiar with those technologies because most people lack programming ability. Thus, we developed a Graphic User Interface(GUI) to overcome this obstacle. We adopted TensorFlow and used .Net of Microsoft for the develop. With this new GUI, users can manage data, apply algorithms, and run machine learning without coding ability. We hope that this development will be used as a basis for developing artificial intelligence in various fields.