• Journal of Korea Multimedia Society
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• v.11 no.4
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• pp.471-480
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• 2008

The deaf can not recognize useful sound informations such as alarm, doorbell, siren, car horn, and phone ring etc., because they have the hearing impairment. To solve this problems, portable hearing assistive devices which have suitable environment sound recognition methods are needed. In this paper, the DTW algorithm for sound recognition system with new active slope weighting constraint method was proposed. The environment sound recognition methods consist of three processes. First process is extraction of start point and end point using frequency and amplitude of sound. Second process is extraction of features and third process is classification of features for given segments. As a result of the experiment, the recognition rate of the proposed method is over 90%. And, the recognition rate of the proposed method increased about 20% than the conventional algorithm. Therefore if there are developed portable assistive devices which use developed method to recognize environment sound for hearing-impaired persons, they could be more convenient in life.

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.329-336
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• 2006

This paper describes a lane change assistance system for the help of safe lane change, which detects vehicles approaching from the rear side by using a computer vision algorithm and notifies the possibility of safe lane change to a driver. In case a driver tries to lane change, the proposed system can detect vehicles and keep track of them. After detecting side lane lines, region of interest for vehicle detection is decided. For detection a vehicle, optical flow technique is applied. The experimental result of the proposed algorithm and system showed that the vehicle detection rate was 91% and the embedded system would have application to a lane change assistance system being commercialized in the near future.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.285-290
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• 2020

This study focus on improving the text language proficiency regarding users' written text. In order to tone up accuracy improvement in writing, Computer Assisted Language Learning(CALL) can be primarily used as one of the most efficient tools. This study proposes a English Grammar Checking Application that can improve the accuracy over the current applications. The proposed system is capable of defining the difference between a Noun and a Noun Phrase which is critical in improving grammar accuracy for those who use Englilsh as a foreign language in English writing.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.200-208
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• 2022

In this study, an automatic information collection system and geographic information construction algorithm for the transportation disadvantaged using electric mobility aids are implemented using an object recognition model. Recognizes objects that the disabled person encounters while moving, and acquires coordinate information. It provides an improved route selection map compared to the existing geographic information for the disabled. Data collection consists of a total of four layers including the HW layer. It collects image information and location information, transmits them to the server, recognizes, and extracts data necessary for geographic information generation through the process of classification. A driving experiment is conducted in an actual barrier-free zone, and during this process, it is confirmed how efficiently the algorithm for collecting actual data and generating geographic information is generated.The geographic information processing performance was confirmed to be 70.92 EA/s in the first round, 70.69 EA/s in the second round, and 70.98 EA/s in the third round, with an average of 70.86 EA/s in three experiments, and it took about 4 seconds to be reflected in the actual geographic information. From the experimental results, it was confirmed that the walking weak using electric mobility aids can drive safely using new geographic information provided faster than now.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.268-270
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• 2008

얼굴 인식은 영상 처리 분야 중 대표적인 분야의 하나로, 지금까지 다양한 응용시스템이 개발됐다. 얼굴 인식은 눈, 코, 입 같은 얼굴의 특징들을 값으로 변환하고 각 특징 값들의 상관관계를 분석하는 방식으로 이루어지는데, 이 중에서 입은 형태 변화가 심하기 때문에 얼굴 인식에서는 특징 값으로 잘 이용되지 않는다. 반면, 표정 인식이나 화자 인식과 같은 특정 응용 시스템에서는 중요한 특징의 하나로 사용되고 있다. 입 모양을 인식한다는 것은 입술의 형태와 그 변화를 인식한다는 것을 의미하며, 이에 대한 연구가 많이 이루어지기는 했지만 음성 인식의 보조 수단으로 사용된 것이 대부분이다. 본 논문에서는 현재까지 제안된 입 움직임 인식 기술에 대해서 정리하고, 새로이 적용 가능한 응용 시스템에 대해 고찰해보고자 한다.

• Computational Structural Engineering
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• v.4 no.3
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• pp.36-39
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• 1991

이미 상당부분 CAD시스템이 사용되고 있는 건축설계 분야는 새로운 전환기를 맞이하고 있다. 제도보조도구로서의 컴퓨터가 일반화되어 널리 확산되어가는 반면 진정한 전산보조설계를 위한 새로운 시도와 연구가 각 분야에서 시작되고 있다는 것이다. 이러한 활발한 움직임의 바탕에는 컴퓨터에 대한 사회적인 인식의 변화가 흐르고 있으며 되돌릴 수 없는 발전의 역사를 감지할 수 있다. 따라서 새롭게 다가오는 변화를 보다 능동적으로 수용하기 위해서는 기반이 되는 분야별 CAD/CAE를 점검하고 엔지니어링데이타베이스를 구축해 나가는 것이 현재 건축설계 분야에서 시도해야 할 중요한 일이다. 특히 엔지니어링데이타베이스의 경우 하나의 사무소에서 단독으로 구축하는 것은 불가능한 일이므로 학회나 유관단체 등의 선도적 역할에 힘입어 업계에서 공동으로 구축하고 활용하는 방안이 조속히 논의되기를 기대한다.

• Defense and Technology
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• no.5 s.231
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• pp.56-65
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• 1998

미국 국방부의 통제하에 운용되고 있는 GPS위성항법체계는 군사용뿐만 아니라 일반 상업용으로도 폭 넓게 사용되고 있다. 근래 승용차에 부착되어 출고되는 운전보조장치로서의 GPS는 가히 혁명적이라고 할 만하다. 지금까지 GPS는 함정이나 항공기와 같이 장거리 운항장비에 보조적인 항법장치로서 활용되는 것으로 인식되어 왔으나 미래는 미국의 주도하에 주항법장치로서 사용하는 무기체계도 개발될 전망이다. 본 자료에서는 첨단무기체계를 대부분 해외도입에 의존하고 있는 한국군의 입장으로서 GPS 위성항법체계에 대한 허와 실을 고찰하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.727-729
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• 2022

모바일 서비스에서 음성인식을 활용한 애플리케이션이 가져다 주는 편리함으로 레시피 애플리케이션에 접목시켜 데이터베이스를 사용한 레시피 추천, Google Video Intelligence API를 사용하여 객체 영상분할, Google Assistant를 활용한 음성인식을 기반으로 한 레시피 애플리케이션을 제공한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.9
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• pp.2189-2196
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• 2014

In this paper, a VLIW(Very Long Instruction Word) vision coprocessor which can efficiently accelerate computer vision algorithm for automotive is designed. The VLIW coprocessor executes four instructions per clock cycle via 8-stage pipelined structure and has 36 integer and floating-point instructions to accelerate computer vision algorithm for pedestrian detection. The processor has about 300-MHz operating frequency and about 210,900 gates under 45nm CMOS technology and its estimated performance is 1.2 GOPS(Giga Operations Per Second). The vision system composed of vision primitive engine and eight VLIW coprocessors can execute pedestrian detection at 25~29 frames per second(FPS). Because the VLIW coprocessor has high detection rate and loosely coupled interface with host processor, it can be efficiently applicable to a wide range of vision applications.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.311-321
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• 2020

The purpose of this study was to analyze the recognition of secondary pre-physical education teachers' recognition for the learning athletics using Q methodology. P-sample was composed of 28 pre-secondary P·E teachers. The selected Q samples were arranged in the normal distribution form. The collected data were analyzed by factor analysis through varimax rotation using QUANL PC program. This study found four types of recognition on learning athletics. Type I is defined 'the type of recognition for education value.' Type II is defined 'the type of emphasizing assistant activities.' Type III is defined 'the type of an appeal difficulty to learn athletics skill.' Type IV is defined 'the type of emphasizing the basic movement value.' Based of the results of this study, the implications and direction to future research on athletics activities are suggested.