• Title/Summary/Keyword: u-맵

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Application Development and Performance Analysis of Smartphone-based QR Code Interpreter (스마트폰 기반의 QR코드 해석기 성능분석 및 응용개발)

  • Park, Chan-Jung;Hyun, Jung-Suk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.10
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    • pp.2242-2250
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    • 2009
  • Recently, with the advance of Ubiquitous era, the types of services become diverse. Especially, due to the rapid development of mobile technology, the new functions of mobile phones are added and the new applications of mobile phones are developed actively. Among the various applications related to mobile phones, 2 dimensional barcode-based applications are increasing. 2 dimensional barcode is mostly used for the management of past record. However, by combing 2 dimensional barcode with mobile phones, the application areas of 2 dimensional barcode are expanded to the means of publicity for education, tourism, and festivals. In this paper, we develop a QR code decoder running on smartphones, which connects on-line and off-line. In addition, we modify our decoder by detecting the point for performance enhancement based on TRIZ. We compare our decoder with an open-source based decoder in terms of the code size of decoding and the speed of decoding in order to prove that our decoder has a better performance than the other. Finally, we introduce two applications: u-map and u-pamphlet as QR code applications.

Real-time Web Location System for the elderly active surveillance based on Google Map 3D (노약자 활동 감시를 위한 구글 맵 3D 기반의 실시간 웹 위치 추적 시스템)

  • Lee, Young-Min;choi, Okkyung;Kim, Gi-hyung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.120-122
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    • 2011
  • 과학 기술과 의학 기술의 발달로 전 세계적인 고령화 인구 비율도 해마다 증가하고 있다. 본 연구에서는 이러한 고령화 인구 증가 현상에 대한 대책 방안의 하나로 U-HealthCare 시스템에 구글맵(Google Map) 3D 기반의 실시간 위치 추적기법을 적용 시켜 노약자들이 이동하는 중간에 실시간 위치 추적을 실시하여 추후 발생 할 수 있는 위험 사태에 대비하고자 한다. 제안 방식은 구글 맵 3D 서비스 방식이기에 2D 서비스나 문자 서비스 방식보다 시각적으로 건물의 생김새나 주변의 건물에 대한 정확한 파악이 가능하여 노약자들의 위치 정보에 대한 신속한 대체가 가능하다.

Smart Exercise Prescription of Elderly Users using Visual Path Map (비쥬얼패스맵을 이용한 고령자 대상의 스마트 운동처방)

  • Jeong, Chan-Soon;Ham, Jun-Seok;Ko, Il-Ju;Hur, Jun-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.10
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    • pp.185-196
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    • 2011
  • Exercise programs for elderly users are operated by each department and facility, but it is not enough to visualize exercise prescription and effect followed by elderly users physical conditions. The purpose of this study is to suggest exercise prescription for elderly users with a visual path map. A visual path map is to visually present types of users classified according to physical strength conditions, the process of exercise prescription, and effects of exercise. Exercise prescription is divided into four stages: analysis of physical conditions, exercise prescription by the visual path map, smart exercise prescription, and exercise for elderly users. The first stage, analysis of physical conditions is to classify physical conditions by each type by mechanically learning elderly users' physical test values. The second stage, exercise prescription by the visual path map, is to present exercise prescription suitable for elderly users' physical conditions. The third stage, smart exercise prescription, is to offer exercise prescription of the day when exercise is carried out using elderly users' smart phones in consideration of their situations. The fourth stage, exercise for elderly users, is to provide information by their smart phones when they exercise. In conclusion, this study will be able to induce elderly users to do continuous exercise by motivating them.

The Effects of Reminiscence Therapy Using Mind Map to Improve Cognitive Function, Depression Index, Quality of Life for Elderly Women Suspected Of Dementia. (마인드맵을 활용한 회상치료가 여성 치매 의심 노인의 인지기능, 우울 지수 및 삶의 질에 미치는 영향)

  • Jang, Woo-hyuk;Son, Hyo-seong;Seo, Ye-ji;Youn, Su-jeong;Kim, Hyun-ji
    • Journal of Society of Occupational Therapy for the Aged and Dementia
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    • v.12 no.2
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    • pp.97-106
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    • 2018
  • Objective : The purpose of this study was to investigate the effects of reminiscence therapy using mind map to improve cognitive function, depression index, quality of life for old woman with dementia. Method : The study were 14 patients who were diagnosed with a woman suspected of dementia. They were randomly assigned to Study group(N=7) and control group(N=7). All patients received only to Study groups. reminiscence therapy using mind map was composed to 10 sessions, 40 minutes per sessions, 2 times a week, for 5 weeks. For result analysis, descriptive statistic, Wilcoxon signed rank test, and Mann-Whitney U test were used. The evaluation tools were Mini-Mental State Examination Korean Version (MMSE-K), Korean Version of Beck Depression Inventory (K-BDI), Korean Version of the World Health Organization Quality of Life Scale Abbreviated Version (WHOQOL-BREF). Result : There was a significant difference in cognitive function, depression index, and quality of life in the within group after intervention, and there was a significant difference in cognitive function in the between group comparison. Conclusion : According to the results of study, an easing effect was confirmed regarding reminiscence therapy using mind map for an old woman with dementia. using reminiscence therapy using mind map when applied to the improvement of cognitive function, depression index, quality of life.

Material Image Classification using Normal Map Generation (Normal map 생성을 이용한 물질 이미지 분류)

  • Nam, Hyeongil;Kim, Tae Hyun;Park, Jong-Il
    • Journal of Broadcast Engineering
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    • v.27 no.1
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    • pp.69-79
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    • 2022
  • In this study, a method of generating and utilizing a normal map image used to represent the characteristics of the surface of an image material to improve the classification accuracy of the original material image is proposed. First of all, (1) to generate a normal map that reflects the surface properties of a material in an image, a U-Net with attention-R2 gate as a generator was used, and a Pix2Pix-based method using the generated normal map and the similarity with the original normal map as a reconstruction loss was used. Next, (2) we propose a network that can improve the accuracy of classification of the original material image by applying the previously created normal map image to the attention gate of the classification network. For normal maps generated using Pixar Dataset, the similarity between normal maps corresponding to ground truth is evaluated. In this case, the results of reconstruction loss function applied differently according to the similarity metrics are compared. In addition, for evaluation of material image classification, it was confirmed that the proposed method based on MINC-2500 and FMD datasets and comparative experiments in previous studies could be more accurately distinguished. The method proposed in this paper is expected to be the basis for various image processing and network construction that can identify substances within an image.

Development of technology in estimating of high-risk driver's behavior (고위험군 운전자의 운행행태 판단기술 개발)

  • Jin, Ju-Hyun;Yoo, Bong-Seok;Lee, Wook-Soo;Kim, Gyu-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.5
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    • pp.531-538
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    • 2016
  • Driving behaviors such as speeding and illegal u-turn which violate traffic rules are main causes of car accidents, and they can lead to serious accidents. Bus drivers are less aware of dangers of illegal u-turn, and infrastructures such as traffic enforcement equipment and watchmen are deficient. This research aims to develop technology for estimating driving behaviors based on map-matching in order to prevent illegal u-turns. For this research, 23,782 of u-turn permit data and 146,000 of speed limit data are collected nationwide, and an estimation algorithm is built with these data. Then, an application based on android is developed, and finally, tests are conducted to assess the accuracy in data computations and GPS data map-matching, and to extrapolate driving behavior. As a result of the tests, the accuracy results in the map-matching is 86% and the assessment of driving behavior is 83%, while the display of the data output yielded 100% accuracy. Additional research should focus on improvement in accuracy through the development of a robust monitoring system, and study of service scenarios for technology application.

스마트 TV 기술 동향

  • Han, Dong-Seok;U, Ri-Na-Ra;Jang, Eun-Jeong;Hong, Seong-Won
    • The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.2
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    • pp.44-51
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    • 2011
  • 본 고에서는 최근 TV의 새로운 트랜드로 자리매김하고 있는 스마트 TV의 정의와 기술 개발 동향을 살펴보았다. 그리고 스마트 TV의 요소 기술 발전 로드맵을 통하여 스마트 TV의 발전 방향을 살펴보았다.

Generation and Control of a 3-dimensional Game Virtual Environment (3차원 게임 가상환경 생성 및 제어)

  • Lee, Jae-Moon;Jang, Hyun-Duck;Lee, Yong-Duck;Lee, Myeong-Won
    • Journal of the Korea Computer Graphics Society
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    • v.11 no.2
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    • pp.34-39
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    • 2005
  • 본 논문에서는 인터넷 게임 개발에 있어서 배경 화면을 구성하는 3차원 가상환경 생성 및 가상환경을 돌아다니면서 주변을 관찰할 수 있게 하는 카메라 처리 기능을 포함한 가상환경 제어 방법에 대해 기술한다. 여기에 포함되는 기술로서 3차원 지형 메쉬 데이터 처리, 맵에디터, 장면 처리, 캐릭터의 충돌 처리 및 게임 제어 방법 등을 소개한다. 그리고, 시맨틱 가상환경 구현을 목적으로 가상환경상의 각 위치에 대해 의미를 부여할 수 있도록 현재 위치에 대한 정보 입력을 가능하게 해주는 위치 기반 동적 정보 입력기에 대해서도 설명한다.

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A study on speech enhancement using complex-valued spectrum employing Feature map Dependent attention gate (특징 맵 중요도 기반 어텐션을 적용한 복소 스펙트럼 기반 음성 향상에 관한 연구)

  • Jaehee Jung;Wooil Kim
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.6
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    • pp.544-551
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    • 2023
  • Speech enhancement used to improve the perceptual quality and intelligibility of noise speech has been studied as a method using a complex-valued spectrum that can improve both magnitude and phase in a method using a magnitude spectrum. In this paper, a study was conducted on how to apply attention mechanism to complex-valued spectrum-based speech enhancement systems to further improve the intelligibility and quality of noise speech. The attention is performed based on additive attention and allows the attention weight to be calculated in consideration of the complex-valued spectrum. In addition, the global average pooling was used to consider the importance of the feature map. Complex-valued spectrum-based speech enhancement was performed based on the Deep Complex U-Net (DCUNET) model, and additive attention was conducted based on the proposed method in the Attention U-Net model. The results of the experiments on noise speech in a living room environment showed that the proposed method is improved performance over the baseline model according to evaluation metrics such as Source to Distortion Ratio (SDR), Perceptual Evaluation of Speech Quality (PESQ), and Short Time Object Intelligence (STOI), and consistently improved performance across various background noise environments and low Signal-to-Noise Ratio (SNR) conditions. Through this, the proposed speech enhancement system demonstrated its effectiveness in improving the intelligibility and quality of noisy speech.