• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.1-10
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• 2014

Smartphone addiction and internet addiction cause a serious negative social problem due to the spread of the new media which is combined with the ubiquitous function. To evaluate the degree of Internet addiction and smartphone addiction of college students in the nearby areas, K-scale of internet addiction self-diagnosis scale and S-scale of smartphone addiction self-diagnosis scale for Korean adults were applied. This study aims to develop the survey questions, which get the basic internet patterns and access the web site, and to find the hidden addicts that is not found by general K-scale and S-scale using computers and smartphones. The result shows that a method of addiction diagnosis using the tolerance degree which is calculated by smart phone's internet main activities and using time(anticipated and real time) apart from K-scale and S-scale. So hidden internet and smartphone addicts could be found through the SPSS statistical analysis program.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.9
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• pp.285-292
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• 2016

By adding short-range wireless communication function such as Bluetooth and Wi-Fi to the last vehicle in conjunction with a smart phone, a modern automobile is becoming entertainment screen to determine a variety of information such as car location information, diagnosis information, etc. through the ECU vehicle electronic control unit. In this study, by utilizing short-range communications capability of the on-board diagnostic devices and smart phones in association with the on-board diagnostics, compatibility tests among a number of smart phone models, Bluetooth and NFC(Near Field Communication) were carried out and those results were analyzed. Furthermore, composition of on-board diagnostic device having Bluetooth and NFC interface function and the fault diagnosis function were implemented, and fault diagnosis debugging program was developed. In addition, fault diagnosis data of the vehicle via the OBD-II interface was extracted. Finally, the on-board diagnostics CAN Protocol implementation has been proposed, and the results of work was analyzed.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.499-500
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• 2018

뷰티테크시장에서 출시하는 제품 중 영상처리기술을 반영한 다양한 뷰티디바이스가 증가하는 추세이다. 특히 스마트패키징의 경우 주목할 만한 이슈로 뷰티디바이스와 연계된 사용성 및 편리성을 갖춘 애플리케이션 개발이 중요해지고 있으며 사용자가 맞춤형 피부진단 관리 방법에 대한 뷰티정보, 분석리포트, 피부케어샵, 화장품 등을 추천받을 수 있는 뷰티솔루션이 설계되어야 한다. 본 연구는 뷰티케어시장의 전문서비스 영역과 경계를 대중화하여 사용자가 맞춤형 피부진단 관리를 할 수 있는 애플리케이션 설계에 주안점을 둔다. 이를 위해 피부진단 관리 데이터 수집방법의 변수를 정의하고 사용자에게 제안, 모니터링, 뷰티 홈케어 정보, 전문서비스와의 연계방안 등 맞춤형솔루션을 제공할 수 있는 비즈니스플랫폼모델을 제안하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.740-742
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• 2016

최근 건강에 대한 관심이 늘어가고 스마트폰이 널리 보급되면서, 스마트 헬스케어 시장이 커지고 있다. 특히 다양한 요인에 의해 탈모로 고통 받고 있는 사람이 늘어나고 있다. 그러나 아직까지 스마트 헬스케어 분야에서 두피의 상태를 진단하고 평가하는 어플리케이션이 많지 않으며, 신뢰성 또한 좋지 않다. 이에 본 연구에서는 모발 밀도, 모발 두께, 모공 개수, 홍조 4가지 두피 특성을 정량적으로 측정할 수 있는 두피 진단 시스템을 제안하고자 한다. 스마트 폰과 호환되는 현미경을 통해 촬영한 두피영상을 분석하여 사용자가 손쉽게 자신의 두피 상태를 진단을 가능케 하는데 그 의의가 있다.

• Tunnel and Underground Space
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• v.32 no.1
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• pp.78-92
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• 2022

In this study, we proposed a diagnostics and assessment model for mining sites that can evaluate the smart mining technology level in a systematic and structured way. For this, the maturity of the smart mining was defined, and detailed assessment items of the diagnostics and assessment model for smart mining were derived by considering the smart factory diagnostics and assessment model (KS X 9001-3) used in the manufacturing industry. While maintaining the existing system, the existing 46 detailed assessment items were modified to be suitable for mining. As a result, a total of 29 detailed assessment items were derived in the areas of promotion strategy, process, information system and automation, and performance. Based on this, a questionnaire was designed to diagnose the level of smart mining technology, and assessment was performed by applying it to domestic iron mines. The level of smart mining technology in the study area was found to be level 2, and it could be inferred that it was about 40% lower than the average smart level of the general manufacturing industry. In addition, by using the developed model, it was possible to recognize the weak points of the mine at each stage of the introduction, operation, and advancement of smart mining, and to suggest investment and improvement directions.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.29-30
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• 2021

시스템 고장 진단은 장비의 상태를 실시간으로 파악하고, 잔여 수명을 예측할 수 있기 때문에 다양한 분야에서 그 중요성이 강조되고 있다. 장비나 센서의 고장을 진단하고 예측할 경우 유지보수를 용이하게 하여 막대한 손실을 막을 수 있고, 기대 수명 또한 연장될 수 있다. 항로표지는 육지와 멀리 떨어진 해상이라는 특수한 작업환경으로 인해 항로표지 유지보수를 위한 많은 시간과 비용이 발생하게 된다. 따라서 본 연구에서는 효율적인 항로표지 유지보수를 위해 항로표지 센서의 고장 유무를 판단할 수 있는 항로표지 센서 고장 진단 프로세스를 위한 후보 기술군에 대해 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.263-266
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• 2011

Drivers check always vehicle state for own safety and is necessary to understand about vehicle state. If driver know vehicle state, because driver request vehicle state at vehicle specialty company, driver pay a lot of money and waste a lot of time. Now, drivers have checked vehicle state by using variety features of smart phone due to progress of IT(Information Technology). but existing smartphone vehicle diagnostic system learned professional knowledge of vehicle and know vehicle state. drives not need vehicle diagnostic. to overcome these disadvantages, there use easily drivers by using smartphone and request system to know own all vehicle state. In this paper, there implement vehicle diagnostic system with smartphone based on android OS to use easily this system and know check information of vehicle supplies replacement cycles, vehicle internal problems, Eco driving by using OBD-II data to receive by OBD-II Protocol convert Bluetooth connector.

• Journal of Industrial Convergence
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• v.17 no.4
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• pp.87-94
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• 2019

The purpose of this study is to predict the usefulness and predictable effects of the use of dementia prevention games and dementia management applications provided in smart-phones for the elderly. First, 6 dementia diagnostic tools used to verify the effectiveness of the dementia prevention program were selected and the cognitive domains tested by each diagnostic tool were extracted. Second, 29 smart-phone dementia prevention game applications and dementia management applications were selected and the expected effects after using these applications were analyzed in connection with the cognitive domain extracted from the dementia diagnosis tool. As a result, it was expected that it would be helpful to manage dementia prevention by improving cognitive function in certain areas when playing games or managing dementia continuously using smart-phone dementia prevention applications. Smart-phone dementia prevention applications will be useful in improving the cognitive ability of the elderly and preventing dementia by supplementing the limitations of the dementia prevention program that is operated offline through time-space ease of use, continuous usability and economic feasibility.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.13-22
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• 2013

Smartphone addiction has become more serious than internet addiction since people can download and run numerous applications with smartphones even without internet connection. However, smartphone addiction is not sufficiently dealt with in current studies. The S-scale method developed by Korea National Information Society Agency involves so many questions that respondents are likely to avoid the diagnosis itself. Moreover, since S-scale is determined by the total score of responded items without taking into account of demographic variables, it is difficult to get an accurate result. Therefore, in this paper, we have extracted important factors from all data, which affect smartphone addiction, including demographic variables. Then we classified the selected items with a neural network. The result of a comparative analysis with backpropagation learning algorithm and multiclass support vector machine shows that learning rate is slightly higher in multiclass SVM. Since multiclass SVM suggested in this paper is highly adaptable to rapid changes of data, we expect that it will lead to a more accurate self-diagnosis of smartphone addiction.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.1145-1148
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• 2017

현대의 사람들은 의자와 가까이 지내는 시간이 많다. 이를 테면, 회사에서의 업무, 학교에서의 교육, 자동차의 운전 등 다양한 부분에서 의자를 접하고 사용하는 시간이 많다. 이렇게 의자에서 생활하는 시간이 길어짐에 따라 의자로 인한 부작용 발생도 증가하고 있다. 이를 테면, 의자에서의 잘못된 자세로 인한, 허리디스크, 척추측만증 등이 있다. 본 논문에서는 이러한 의자에서 발생할 수 있는 문제를 미리 진단하고 예방하기 위해 자세 진단용 스마트 의자를 제안한다. 자세 진단용 스마트 의자는 주기적으로 사용자의 자세 데이터를 수집하고 분석하여 우리에게 잘못된 자세에 대한 경보, 자신의 자세에 대한 분석을 할 수 있는 기능을 제안한다.