• Title/Summary/Keyword: Auto Registration

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Development of IoT Home Gateway Environment based on ACOME using Open Source Hardware (오픈소스 하드웨어를 활용한 ACOME 기반의 IoT 홈 게이트웨이 환경 개발)

  • Kim, Seong-Min;Choi, Hoan-Suk;Rhee, Woo-Seop
    • The Journal of the Korea Contents Association
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    • v.16 no.3
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    • pp.296-304
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    • 2016
  • Recently in domestic market, the telecommunication and appliance companies actively provide IoT home service through their dedicated smart device and communication network. But because their service should use only their own devices and be payed by monthly, it does not satisfy user's needs. So, users want device and service environment that can be easily configured according to user needs. Therefore, in this paper, we propose IoT home service environment architecture and ACOME(Auto-Configuration of MQTT and REST) mechanism. The proposed architecture consists of IoT platform and IoT home gateway. And the ACOME provides the automatic registration using DPWS function and interface construction using MQTT. This implements as a library for open-source hardware such as Arduino that is easy to get on the market. So the user easy to make own IoT device. Finally, we provide performance evaluation about service and device discovery between ACOME and DPWS.

An Empirical Study on the Recognized Necessity by Vietnamese Users for the Motorcycle Inspection System (베트남 사용자가 인식하는 이륜차 검사제도 필요성에 관한 실증연구)

  • Lee, Yang-Ho;Ryu, Ki-Hyun;Son, Sung-Ho;Jung, Se-Hee
    • Journal of Auto-vehicle Safety Association
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    • v.10 no.2
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    • pp.43-49
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    • 2018
  • Southeast Asia is a strategic market for both technology and inspection system to enter simultaneously. At the core market is Vietnam which is know to have the fourth highest registration of motorcycles as of 2016. The Motorcycle Inspection System is a social regulation, furthermore, the impact of the system is delivered through indirect means such as minimization of social cost. Therefore, measurements on the perception of users on the needs for an inspection system serves as valuable data to simultaneously enter this markets. This research is an empirical study on the perception of Vietnamese users on the needs to adopt a motorcycle inspection system based on data collected through surveys and is aimed at conducting a preliminary investigation on consumer behavior in Vietnam. The empirical study conducted through surveys revealed that Vietnamese motorcycle users perceive the needs for an inspection system for maintenance, safe operations and selling used vehicles at a reasonable price. In addition, the study also verified that the safe operations factor has a moderating effect due to interaction between prevention of illegal vehicle and reduction of emission gases. This research results present implications in developing equipment adapted to the local area in order to enter into a strategic market. Moreover, it is expected that the findings will also serve as valuable data for bilateral cooperation between the two countries and the diffusion of technology.

Development of Supervised Machine Learning based Catalog Entry Classification and Recommendation System (지도학습 머신러닝 기반 카테고리 목록 분류 및 추천 시스템 구현)

  • Lee, Hyung-Woo
    • Journal of Internet Computing and Services
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    • v.20 no.1
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    • pp.57-65
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    • 2019
  • In the case of Domeggook B2B online shopping malls, it has a market share of over 70% with more than 2 million members and 800,000 items are sold per one day. However, since the same or similar items are stored and registered in different catalog entries, it is difficult for the buyer to search for items, and problems are also encountered in managing B2B large shopping malls. Therefore, in this study, we developed a catalog entry auto classification and recommendation system for products by using semi-supervised machine learning method based on previous huge shopping mall purchase information. Specifically, when the seller enters the item registration information in the form of natural language, KoNLPy morphological analysis process is performed, and the Naïve Bayes classification method is applied to implement a system that automatically recommends the most suitable catalog information for the article. As a result, it was possible to improve both the search speed and total sales of shopping mall by building accuracy in catalog entry efficiently.

On UPAN System Implementation using an NAN System as Ubiquitous Numbering and Address System (신기통신망 번호체계로서 번호문 번호체계를 이용한 보편개인대표 번호의 구현방안)

  • Ku Jay-Il;Chinn Yong-Ok
    • Journal of Internet Computing and Services
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    • v.7 no.1
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    • pp.165-172
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    • 2006
  • This paper describes which UPAN System Implementation using an NAN System as Ubiquitous Numbering and Address System. IT is based to UPTN and eNUM and also scribed by NAN of the ortho phonic korean alphabet. other case, in English. the UPAN system is integrated by two kind of numbering system, one is PSTN, another is domain name and address based IP. By this result we contributed personal ID and many kind of numbering of telecommunications services and all kind of personal ID and numbering system by the proper auto-raising registration. Now, we are confirmed this is key solution of ubiquitous networking and defined supra service structures.

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A Study on the Prediction of Mortality Rate after Lung Cancer Diagnosis for Men and Women in 80s, 90s, and 100s Based on Deep Learning (딥러닝 기반 80대·90대·100대 남녀 대상 폐암 진단 후 사망률 예측에 관한 연구)

  • Kyung-Keun Byun;Doeg-Gyu Lee;Se-Young Lee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.2
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    • pp.87-96
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    • 2023
  • Recently, research on predicting the treatment results of diseases using deep learning technology is also active in the medical community. However, small patient data and specific deep learning algorithms were selected and utilized, and research was conducted to show meaningful results under specific conditions. In this study, in order to generalize the research results, patients were further expanded and subdivided to derive the results of a study predicting mortality after lung cancer diagnosis for men and women in their 80s, 90s, and 100s. Using AutoML, which provides large-scale medical information and various deep learning algorithms from the Health Insurance Review and Assessment Service, five algorithms such as Decision Tree, Random Forest, Gradient Boosting, XGBoost, and Logistic Registration were created to predict mortality rates for 84 months after lung cancer diagnosis. As a result of the study, men in their 80s and 90s had a higher mortality prediction rate than women, and women in their 100s had a higher mortality prediction rate than men. And the factor that has the greatest influence on the mortality rate was analyzed as the treatment period.

Current Recycling Status of End-of-Life Vehicles(ELV) and Proposal of Recycling System Model (자동차(自動車)리싸이클링의 현황(現況)과 리싸이클링모델의 제시(提示))

  • Oh, Jae-Hyun;Kang, Jung-Ho
    • Resources Recycling
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    • v.16 no.1 s.75
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    • pp.15-27
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    • 2007
  • The Korean Auto industry has developed remarkably over the past 30 years. In 2005 alone, Korea produced 3.7 million vehicles, and the number of vehicles registered surpassed the 15 million marks. The rapid growth in registration, however, has given increasing problems to the traffic congestion and the environmental pollution. The system for handling of ELV in Korea is governed by the 'Motor management law'. The law places the responsibility for vehicle scrapping directly on the vehicle owners. The take-back rate of ELV reaches nearly 100% in Korea since 1987. To further entourage recycling, the government introduced the extended producer responsibility system(EPRS) starting January 1, 2003, which imposes waste recycling obligations on producers or importers. According to the system, producers must recycle home appliances and packaging materials. This system, however, did not involve the automobiles. In 2006, the automobiles recycling law is under preparing now by the government. This article is concerning current status for End-of-Life vehicle's recycling and the recycling system model for advanced ELV industries in Korea.

The Research for the Wide-Angle Lens Distortion Correction by Photogrammetry Techniques (사진측량 기법을 사용한 광각렌즈 왜곡보정에 관한 연구)

  • Kang, Jin-A;Park, Jae-Min;Kim, Byung-Guk
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.26 no.2
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    • pp.103-110
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    • 2008
  • General lens, widely using in Photogrammetry, has narrow view, and have to adjust "Image-Registration Method" after obtain images and it need cost; economic, period of time. Recent days, there is various study that use wide-angle lens, usually for robotics field, put to practical use in photogrammetry instead of general lens. In this studies, distortion tendency of wide-angle lens and utilize the correction techniques suitable to wide-angle lens by the existing photographic survey methods. After carrying out the calibration of the wide-angle lens, we calculated the correction parameters, and then developed the method that convert the original image-point to new image-point correcting distortion. For authorization the developed algorithm, we had inspection about shape and position; there are approximately 2D RMSE of 3 pixel, cx = 2, and cy = 3 different.

Salty-taste Activation of Human Brain Disclosed by Gustatory fMRI Study (뇌기능 자기공명영상 장치를 이용한 짠맛 자극에 따른 인간 뇌의 반응에 대한 기초 연구)

  • Kim S.H.;Choi K.S.;Lee H.Y.;Shin W.J.;Eun C.K.;Mun C.W.
    • Investigative Magnetic Resonance Imaging
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    • v.9 no.1
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    • pp.30-35
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    • 2005
  • Purpose : The purpose of this study is to observe the blood oxygen level dependent (BOLD) contrast changes due to the reaction of human brain at a gustatory sense in response to a salty-taste stimulation. Materials and Methods : Twelve healthy, non-smoking, right-handed male subjects (mean age: 25.6, range: 23-28 years) participated in this salty-taste stimulus functional magnetic resonance (fMRI) study. MRI scans were performed with 1.57 GE Signa, using a multi-slice GE-EPI sequence according to a blood-oxy-gen-level dependent (BOLD) experiment paradigm. Scan parameters included matrix size $128\times128$, FOV 250 mm, TR 5000 msec, TE 60 msec, TH/GAP 5/2 mm. Sequential data acquisitions were carried out for 42 measurements with a repetition time of 5 sec for each taste-stimulus experiments. Analysis of fMRI data was carried out using SPM99 implemented in Matlab. NaCl solution $(3\%)$ was used as a salty stimulus. The task paradigm consisted of alternating rest-stimulus cycles (30-second rest, 15-second stimulus) for 210 seconds. During the stimulus period, NaCl-solution was presented to the subject's mouth through plastic tubes as a bolus of delivered every 5 sec using -processor controlled auto-syringe pump. Results : Insula, frontal opercular taste cortex, amygdala and orbitofrontal cortex (OFC) were activated by a salty-taste stimulation $(NaCl,\;3\%)$ in the fMRI experiments. And dosolateral prefrontal cortex (DLPFC) was also significantly responded to salty-taste stimuli. Activation areas of the right side hemisphere were more superior to the left side hemisphere. Conclusion : The results of this study well correspond to the fact that both insula, amygdala, OFC, DLPFC areas are established as taste cortical areas by neuronal recordings in primates. Authors found that laboratory-developed auto-syringe pump is suitable for gustatory fMRI study. Further research in this field will accelerate to inquire into the mechanism of higher order gustatory process.

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The e-Business Component Construction based on Distributed Component Specification (분산 컴포넌트 명세를 통한 e-비즈니스 컴포넌트 구축)

  • Kim, Haeng-Gon;Choe, Ha-Jeong;Han, Eun-Ju
    • The KIPS Transactions:PartD
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    • v.8D no.6
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    • pp.705-714
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    • 2001
  • The computing systems of today expanded business trade and distributed business process Internet. More and more systems are developed from components with exactly reusability, independency, and portability. Component based development is focused on advanced concepts rater than passive manipulation or source code in class library. The primary component construction in CBD. However, lead to an additional cost for reconstructing the new component with CBD model. It also difficult to serve component information with rapidly and exactly, which normalization model are not established, frequency user logging in Web caused overload. A lot of difficult issues and aspects of Component Based Development have to be investigated to develop good component-based products. There is no established normalization model which will guarantee a proper treatment of components. This paper elaborates on some of those aspects of web application to adapt user requirement with exactly and rapidly. Distributed components in this paper are used in the most tiny size on network and suggest the network-addressable interface based on business domain. We also discuss the internal and external specifications for grasping component internal and external relations of user requirements to be analyzed. The specifications are stored on Servlets after dividing the information between session and entity as an EJB (Enterprise JavaBeans) that are reusable unit size in business domain. The reusable units are used in business component through query to get business component. As a major contribution, we propose a systems model for registration, auto-arrange, search, test, and download component, which covers component reusability and component customization.

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