• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.12B
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• pp.1199-1210
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• 2010

In recent years opportunistic computing has gained popularity in Ad-hoc network research area and it is highly required to research for actual services and related requirements. In this paper we summarized a virtual opportunistic service that is named "Children Care System" and proposed an Ad-hoc communication node (uMobile) that is connected with cellular phone and a sensor node (uClo) which is embedding into clothes. uMobile can support cellular phone communication and Ad-hoc communication and uClo can be embedded into clothes and recognize the user status using multiple sensors. In this paper we implemented the location awareness and user status awareness services using uMobile and uClo. We also tested them in indoor situation and showed the result. We expect that our research can play a significant role to inspire another various opportunistic computing services.

• The Transactions of the Korea Information Processing Society
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• v.2 no.5
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• pp.619-625
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• 1995

This paper constructs a feed-forward learning complex algorithm which replaced by the backpropagation learning. This algorithm first attempts to organize the pattern vectors into clusters by Generalized Learning Vector Quantization(GLVQ) clustering algorithm(Nikhil R. Pal et al, 1993), second, regroup the pattern vectors belonging to different clusters, and the last, recognize into regrouping pattern vectors by single layer perceptron. Because this algorithm is feed-forward learning algorithm, time is less than backpropagation algorithm and the recognition rate is increased. We use 250 ASCII code bit patterns that is normalized to 16$\times$8. As experimental results, when 250 patterns devide by 10 clusters, average iteration of each cluster is 94.7, and recognition rate is 100%.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.6
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• pp.521-530
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• 2013

This paper proposes a task parallelism system (BioMP) to improve applications' execution time of multicore based mobile device. When application developers append the functions of parallel specification into the existing software, our proposed system supports the parallel processing of threads as well as a compatibility. BioMP improves the software in order that an existing large-scale source can recognize the multicore architecture. From our experiment, our idea improved the execution time of application until about 64% against the existing system in multicore environment based on quad core. In addition, BioMP does not require any additional modification of a mobile platform because BioMP is independent component. Consequently, when application developers release multicore-aware applications into the application store, users can immediately run without any modification of the mobile device.

• Korean Journal of Construction Engineering and Management
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• v.4 no.3 s.15
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• pp.112-118
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• 2003

This study aims to management and environmental system is a set of a theory logic management tools and principles designed to create the administrative procedures that a company needs to integrate management and environmental concerns into its daily business practices. Integrate environmental considerations of risk reduction and wise resource management into daily business decision making that includes performance and cost. Seek management and environmental solutions that promote competitiveness environmental aspect recognize need for a commitment to continuous improvement of a it's decision making model. Provide business with tools and methodologies to make better environmental choices and understand the environmental effects of resource flows. A last of understand use of the Decision Making element principal as a guideline for evaluating and ranking approaches. The result of this study are summarized as follows; (1) setting for approach decision management select of the change environment police, (2) making improvements of developing operational controls setting targets, (3) measuring and achieving success of EMS, (4) decision making system on the Environment and Management

• International Commerce and Information Review
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• v.14 no.4
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• pp.131-152
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• 2012

This study has analyzed the international trade flow of medical devices in Korea, China, and Japan more theoretically and systematically through a mutual connection of the medical device export structure of Korea and the import structure of China and Japan organically, with an intensity approach on the bilateral international trade flow. Also, it is meaningful to find a solution to boost exports of Korea to China and Japan. Therefore in this study, we recognize the importance of the medical device market in China and Japan, which is the main competition for Korea and its market, and look into the trade situation of these three countries. We also look into the relative market stream and the trade intensity of the main medical devices in Korea, China and Japan, and seek measures for the steady growth of the medical device market in these three countries.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.11
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• pp.1175-1184
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• 1992

A new classification method and recognition algorithms for printed Korean and Chinese character is studied for Korean text which contains both Korean and Chinese characters. The proposed method utilizes structural features of the vertical and horizontal vowel in Korean character. Korean characters are classified into 6 groups. Vowel and consonant are separated by means of different vowel extraction methods applied to each group. Time consuming thinning process is excluded. A modified crossing distance feature is measured to recognize extracted consonant. For Chinese character, an average of stroke crossing number is calculated on every characters, which allows the characters to be classified into several groups. A recognition process is then followed in terms of the stroke crossing number and the black dot rate of character. Classification between Korean and Chinese character was at the rate of 90.5%, and classification rate of Ming-style 2512 Korean characters was 90.0%. The recognition algorithm was applied on 1278 characters. The recognition rate was 92.2%. The densest class after classification of 4585 Chinese characters was found to contain only 124 characters, only 1/40 of total numbers. The recognition rate was 89.2%.

• Archives of design research
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• v.12 no.2
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• pp.97-106
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• 1999

The whole crisis of human being derived from environmental pollution has changed the human -centered paradigm into the ecological paradigm based on the harmony of human and nature, which have made it inevitable for designers to participate in the environmental problem-solving. In the line of this sense, it is necessary for designers to recognize the social and ethical responsibility for environmental pollution and to change into the designing for environment, not for sale itself. In accord with the context above, the purpose of this study is to suggest some clues for resolving environmental problems with the analysis of design for long-selling product, as we call, product durability analysis. That is, this study is under some assumptions that designing durable product and durable product itself are able to extend a product life cycle, delay a product disusing, reduce a rash development competition for new product among companies, mitigate consumption-oriented attitude of consumers, eliminate a waste of resources, and go far toward the environmental problem solving.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.7
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• pp.3267-3274
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• 2011

Recently, speech recognition technology has dramatically developed, with the increase in the user environment of various mobile devices and influence of a variety of speech recognition software. However, for speech recognition for multi-language, lack of understanding of multi-language lexical model and limited capacity of systems interfere with the improvement of the recognition rate. It is not easy to embody speech expressed with multi-language into a single acoustic model and systems using several acoustic models lower speech recognition rate. In this regard, it is necessary to research and develop a multi-language speech recognition system in order to embody speech comprised of various languages into a single acoustic model. This paper studied a system that can recognize Korean and English as International Phonetic Language (IPA), based on the research for using a multi-language acoustic model in mobile devices. Focusing on finding an IPA model which satisfies both Korean and English phonemes, we get 94.8% of the voice recognition rate in Korean and 95.36% in English.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.57-64
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• 2020

Video surveillance is consists of cameras, transmission devices, storage and playback devices, and is used for crime prevention and disaster monitoring. Recently, it has been spreading to a wide variety of fields, and has developed into an intelligent video surveillance system that can automatically recognize or track characteristic objects of people and things. The purpose of this study was to investigate the cases of video surveillance service applying the latest technology by dividing it into the home, public, and private sectors. also this study tried to investigate and research what advantage it brings from a business perspective. By looking at the cases introduced in this study, it was confirmed that the viedo security service is developing intelligently, such as excellent compatibility with CCTV, multiple video surveillance, CCTV screen motion detection, and alarm through automatic analysis.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.69-77
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• 2021

This paper deals with the development of an application that converts the PDF music score entered by the user into a MIDI file of the chord the user wants. This application converts the PDF file into a PNG file for chord conversion when the user enters the PDF music score file and the chord which the user wants to change. After recognizing the melody of sheet music through image processing algorithm and recognizing the tempo of sheet music notes through deep learning, then the MIDI file of chord for existing sheet music is produced. The OpenCV algorithm and deep learning can recognize minim note, quarter note, eighth note, semi-quaver note, half rest, eighth rest, quarter rest, semi-quaver rest, successive notes and chord notes. The experiment shows that the note recognition rate of the music score was 100% and the tempo recognition rate was 90% or more.