• Journal of Internet Computing and Services
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• v.9 no.4
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• pp.21-27
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• 2008

TCP receivers deliver ACK packets to senders for reliable end-to-end transfer. When ACK packets are not transferred properly because of network congestion, the performance of TCP degrades. This paper proposes a reverse congestion warning mechanism and a congestion handling mechanism in heterogeneous networks with heavy background traffic in the backward direction. Help from TCP receivers or hardware such as routers and gateways other than the ACK packets themselves is not necessary. TCP senders compare the arrival intervals of ACK data passed from receivers and the difference in t imestamp values echoed by receivers. According to the simulation results using the NS-2 network simulator, the proposed scheme shows a performance elevation of 20% greater than Reno, 150% greater than New Reno, and 450% greater than Westwood, respectively, under heterogeneous networks and that the error rate of the radio link is 1% when the backward network is congested.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.661-663
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• 2014

Lighting that installed in large buildings detects a movement of passer using human-detecting sensor or occupancy sensor. It can turn on lighting automatically using sensor when there is any movement and turn off when there is no movement to reduce unnecessary power consumption. However, there is a problem of malfunction due to improper location of the sensor. Also the case of passage, even after passing through the passage, lighting is turned on for a long time. It does not reduce the power consumption efficiently. In this paper, we propose a method to control lighting by estimating the position of the passer. According to the result simulated in one passage, it is confirmed that the time of turning on the lighting is reduced about 7 minute compared to existing methods.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.7
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• pp.479-490
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• 2014

A lower extremity exoskeleton is a robot device that attaches to the lower limbs of the human body to augment or assist with the walking ability of the wearer. In order to improve the wearer's walking ability, the robot senses the wearer's walking locomotion and classifies it into a gait-phase state, after which it drives the appropriate robot motions for each state using its actuators. This paper presents a method by which the robot senses the wearer's locomotion along with a novel classification algorithm which classifies the sensed data as a gait-phase state. The robot determines its control mode using this gait-phase information. If erroneous information is delivered, the robot will fail to improve the walking ability or will bring some discomfort to the wearer. Therefore, it is necessary for the algorithm constantly to classify the correct gait-phase information. However, our device for sensing a human's locomotion has very sensitive characteristics sufficient for it to detect small movements. With only simple logic like a threshold-based classification, it is difficult to deliver the correct information continually. In order to overcome this and provide correct information in a timely manner, a probabilistic gait-phase classification algorithm is proposed. Experimental results demonstrate that the proposed algorithm offers excellent accuracy.

• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.6
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• pp.1161-1175
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• 2018

An unexpected event could be easily followed by a large secondary accident due to the limitation in sight of drivers in road tunnels. Therefore, a series of automated incident detection systems have been under operation, which, however, appear in very low detection rates due to very low image qualities on CCTVs in tunnels. In order to overcome that limit, deep learning based tunnel incident detection system was developed, which already showed high detection rates in November of 2017. However, since the object detection process could deal with only still images, moving direction and speed of moving vehicles could not be identified. Furthermore it was hard to detect stopping and reverse the status of moving vehicles. Therefore, apart from the object detection, an object tracking method has been introduced and combined with the detection algorithm to track the moving vehicles. Also, stopping-reverse discrimination algorithm was proposed, thereby implementing into the combined incident detection processes. Each performance on detection of stopping, reverse driving and fire incident state were evaluated with showing 100% detection rate. But the detection for 'person' object appears relatively low success rate to 78.5%. Nevertheless, it is believed that the enlarged richness of image big-data could dramatically enhance the detection capacity of the automatic incident detection system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.7
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• pp.1441-1446
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• 2017

In recent, the studies on the systems have been progressing that count the number of people passing through passageway or count people who exist in specific space. The existing people counting systems count the number of people using ultrared sensors, ultrasonic sensors or camera sensors, which can be installed only on pillar or around wall. Though ultrared sensors and ultrasonic sensors is low cost, they are inadequate to detect incoming/outgoing when several pedestrians pass through passageway concurrently. In this paper, we designed a sensor mat using piezoelectric sensors to complement the above-mentioned disadvantage. Also, we implemented the system that detects direction of progress and counts the number of people. The sensor mat detects direction of progress using pressure given on sensors and timing information and counts the number of people when pedestrians pass through on a sensor mat.

• Polymer Science and Technology
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• v.15 no.3
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• pp.317-326
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• 2004

광자 (photon)를 이용하여 정보의 전달, 표시, 감지 그리고 저장이 가능한 다양한 형태의 소자들은 현재 그 주를 이루고 있는 전자 (electron)가 매개인 소자를 대체할 수 있는 가능성을 가지고 활발히 연구되고 있다. 전자의 움직임은 재료 내에 주기적으로 배열되어 있는 원자나 분자의 결정구조에 의해 제어된다. 이는 전도밴드 (conduction band)와 원자가 밴드(valance band) 사이에 존재하는 전자 밴드갭 (electronic band gap)을 조절함으로써 가능하다. 이와 유사한 개념으로 광자의 움직임은 유전체의 주기적인 배열을 통해서 가능함이 제안되었다. 규칙적인 유전체의 결정구조를 가진 재료에 빛이 조사되었을 때, 그 재료를 통과하지 못하는 특정파장이 결정되며 이를 광자 밴드갭 (photonic band gap: PBG)이라 한다. (중략)

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1619-1620
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• 2011

본 논문에서는 발전소 현장에서 전력을 생산하는 발전기의 중요 구성품인 회전자 계자권선의 단락 현상을 감지할 수 있는 센서를 개발하여 현장 발전기에 설치함에 있어, 설치시 발생할 수 있는 문제점으로 인해 센서가 제 기능을 발휘하지 못하는 것을 사전에 차단하고자, 그동안 현장설치시 나타난 문제점을 고찰하고 향후 발전기 내에 단락 감시용 센서 설치시 이러한 문제점이 발생하지 않도록 효과적인 설치방법에 대하여 기술하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2017.11a
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• pp.42-43
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• 2017

선내시스템 원격모니터링 서비스는 원격지 해역을 항행하고 있는 선박의 주요정보(화재, 경사, 탱크레벨, 기관 및 항해장비 등) 데이터를 이용하여 항행/화재/내항성 등의 선박의 이상상태를 감지하고, 이를 선박 운항자에게 서비스하는 시비스로서 선박 사용자와 육상의 이네비 센터 운용자가 효율적으로 이용할 수 있는 사용자 UI를 개발하고 있다.

• Proceedings of the Korean Fiber Society Conference
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• 2001.10a
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• pp.320-323
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• 2001

일반적으로 고분자 재료는 그 자체로는 전기가 통하지 않는 전기절연체이나 여기에 카본블랙, 카본파이버, 금속분말 등 전도성을 가지는 입자들을 가지고 도핑할 경우 전기가 통하는 반도체 특성을 지니는 재료로 변화를 한다. 특히, 전기ㆍ전자재료 분야에서 이러한 특성을 이용한 재료 중 하나인 PTC 소자는 나노 크기를 가지는 카본 블랙과 고분자 재료의 복합화를 바탕으로 하여 과전류에 의한 발열의 감지 및 전류를 차단함으로서 회로를 보호하는 소자를 말하는 것으로서 현재 그 수요량이 급격히 증대하고 있는 기능성 재료중 하나이다. (중략)

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.663-666
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• 2003

기근의 산업현장에서는 장리관리 자가 장비의 모니터링과 제어를 위하여 항상 대기하고 있어야 하므로, 인력 낭비와 시간 손실이 많으므로 비효율적이다. 본 논문에서는 이러한 문제점을 해결하기 위하여 유무선 인터넷을 기반으로 하는 실시간 장비관리시스템을 개발한다. 이 시스템에서는 장비에 이상 발생시 고장을 자동으로 감지하여 장비관리자의 휴대폰으로 통보하고, 관리자가 유무선 인터넷을 통하여 고장 장비에 대한 응급조치를 한다. 이를 위하여 세부적으로 로컬 장비 제어시스템, 장비관리시스템, 모바일 시스템, 웹 시스템을 각각 개발한다.