• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.179-186
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• 2021

We have been developed the smart tourism app and the Instagram and YouTube contents to provide personalized tourism information and travel product information to individual tourists. In this paper, we develop a rule-based smart tourism chatbot with the khaiii (Kakao Hangul Analyzer III) morphological analyzer and Neo4J graph database. In the proposed chatbot system, we use a morpheme analyzer, a proper noun dictionary including tourist destination names, and a general noun dictionary including containing frequently used words in tourist information search to understand the intention of the user's question. The tourism knowledge base built using the Neo4J graph database provides adequate answers to tourists' questions. In this paper, the nodes of Neo4J are Area based on tourist destination address, Contents with property of tourist information, and Service including service attribute data frequently used for search. A Neo4J query is created based on the result of analyzing the intention of a tourist's question with the property of nodes and relationships in Neo4J database. An answer to the question is made by searching in the tourism knowledge base. In this paper, we create the tourism knowledge base using more than 1300 Jeju tourism information used in the smart tourism app. We plan to develop a multilingual smart tour chatbot using the named entity recognition (NER), intention classification using conditional random field(CRF), and transfer learning using the pretrained language models.

• International Journal of Control, Automation, and Systems
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• v.1 no.3
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• pp.332-338
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• 2003

Content-based image retrieval is the research of images from database, that are visually similar to given image examples. Gabor functions and Gabor filters are regarded as excellent methods for feature extraction and texture segmentation. However, they have a disadvantage not to perform well in case of a rotated image because of its direction-oriented filter. This paper proposes a method of extracting local texture features from blocks with central interest points detected in an image and a rotation invariant Gabor wavelet filter. We also propose a method of comparing pattern histograms of features classified by VQ (Vector Quantization) among images.

• JSTS:Journal of Semiconductor Technology and Science
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• v.16 no.2
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• pp.251-254
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• 2016

An energy-efficient object matching accelerator is proposed for mobile object recognition based on matching prediction scheme. Conventionally, vocabulary tree has been used to save the external memory bandwidth in object matching process but involved massive internal memory transactions to examine each object in a database. In this paper, a novel object matching accelerator is proposed based on matching predictions to reduce unnecessary internal memory transactions by mitigating non-target object examinations, thereby improving the energy-efficiency. Experimental results show a 26% reduction in power-delay product compared to the prior art.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.157-159
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• 2002

무선 네트워터의 폭발적인 증가와 함께 이동 통신 기기의 발전은 기존의 유선 일변도의 사용방식을 무선 환경으로 급속히 확장, 이전시키고 있다. 무선 환경의 발전에 따라 모바일 데이터베이스 사용의 필요성은 급격히 증대되고 있으며 이에 따른 많은 문제점도 발생하고 있다. 현재의 모바일 데이터베이스는 동기화를 위하여 하나의 동기화 서버가 다수의 모바일 데이터베이스를 관리하는 중앙 집중형 방식으로, 모바일 데이터베이스들간의 동기화와 데이터 집중에 문제가 발생한다. 또만 고장허용에 대한 해결책은 전혀고려되어 있지 않다. 이러만 문제점을 해결하기 위해서 본 논문에서는 이동 에이전트를 이용한 모바일 데이터베이스 관리 시스템을 제안한다. 이 시스템은 모바일 데이터베이스의 분류-배치를 통하여 네트워크 효율을 높이며 고장허용 관리 기능을 통한 좀더 신뢰성 있는 서비스론 제공한다.

• Journal of Multimedia Information System
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• v.5 no.3
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• pp.215-220
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• 2018

This work presents a smart water quality sensor for hydroponic plant growing applications. The proposed sensor can effectively measure pH level and electrical conductivity of the water solution. The micro-controller incorporated in the sensor processes the raw sensor data, and converts it into a readable format. In addition, through the mobile interface realized using a WiFi module, the sensor can send data to the web server database that collects and stores the data. The data stored in the web server can be accessed by a personal computer or smart phone. The prototype sensor has been implemented, and the operations have been verified under an actual hydroponic plant growing application.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.6
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• pp.1157-1163
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• 2015

In this paper, we developed a Web App that operates in a mobile device. Also, we designed and developed an electronic dictionary of English words and sentences are expressed by English pronunciation with hangeul. The database using English words, Hangeul code with pictures, vocabulary definitions, speech sound files, and many sentences are created in this system. We developed the English learning system using HTML5 and m-Bizmaker software tools.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.223-234
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• 2010

This study is aimed at proposing a new research model in which application store intention to acceptance influence factors (i.e.. facilitating condition, mobile computing self-efficacy, service compatibility, and system quality) affect TAM (i.e., perceived usefulness and perceived ease of use) positively, leading to application store intention to acceptance eventually. This study developed a research model to explain the use of Apple's App Store, and collected 228 survey responses from the undergraduate students who had experiences with such application store services as game and personal information management application download. To prove the validity of the proposed research model, PLS analysis is applied with valid 228 questionnaires. By employing PLS technique, the measurement reliability and validity of research variables are tested and the path analysis is conducted to do the hypothesis testing. In brief, the finding of this study suggests that application store intention to acceptance influence factors affect TAM positively, and application store intention to acceptance as well.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.12
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• pp.6133-6151
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• 2017

The field of periocular biometrics has gained wide attention as an alternative or supplemental means to conventional biometric traits such as the iris or the face. Periocular biometrics provide intermediate resolution between the iris and the face, which enables it to support both. We have developed a periocular recognition system by using uniform Multiscale Local Binary Pattern (uMLBP) and attribute features. The proposed system has been evaluated in terms of major factors that need to be considered on a mobile platform (e.g., distance and facial pose) to assess the feasibility of the use of periocular biometrics on mobile devices. Experimental results showed 98.7% of rank-1 identification accuracy on a subset of the Face Recognition Grand Challenge (FRGC) database, which is the best performance among similar studies.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.15-18
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• 2002

This paper presents an ECG (electrocardiogram) telemetry system, in which patients can be monitored in nearly any environment by mobile communication. The ECG is transmitted to a monitor center via a built-in CDMA modem and forwarded to a cardiologist for diagnosis. Also this paper designed and implemented the receiving server which receives the ECG from the ECG aquisition module of patients by Internet. The server puts the ECG into a database. This telemetry system significantly increases the patient's safety and comfort.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.6
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• pp.1496-1504
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• 2007

The purpose of this paper, as a part of healthcare research, is to design and development Patient-aware System that will support EMR(Electronic Medical Record) in hospital. A mobile device-based system that can use database of existing EMR, replace existing paper-type chart, and identify patient fast and correctly was developed. To identify patient, RFID(Radio Frequency Identification) was used, and through interworking RFID and the system, it is possible to identify patient automatically. The developed system was tested in the test bed, and the possibility of faster diagnosis and treatment than existing paper-type chart was tested.