• International Journal of Advanced Culture Technology
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• v.5 no.4
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• pp.51-56
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• 2017

In every Summer and Winter, there open soccer transfer markets. And these markets draw huge attention from soccer fans and other ordinary people all around world. This phenomenon might indicate great interest of people from the amount of news, blog articles, public messages and replies from online community and forums about popular players and clubs of many leagues. Especially, transfer markets in the year 2017 have generated many gossips than before. In this research, we performed keyword analysis and ranking of news and messages collected and analyzed from online news sites and online forum sites, in order to investigate who and what clubs are mainly discussed.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06d
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• pp.466-469
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• 2008

본 논문에서는 지도기반의 모바일 영업 자동화 시스템(MMSFA)에 관해서 기술한다. 지도기반의 모바일 영업 자동화 시스템(MMSFA)은 영업사원들에게 이동 중에도 업무처리를 할 수 있는 유비쿼터스 업무 환경을 제공해준다. MMSFA는 사무실의 PC나 이동 중 개인무선단말기(PDA)를 통해 사용할 수 있으며, 고객과 영업활동의 입체적인 관리를 위하여 사용자의 요구와 상황에 맞춰 지도정보를 제공한다. 유비쿼터스 환경을 위해 가장 보편적이고 접근성이 뛰어난 모바일 웹을 기반으로 개발하였으며, 개발의 효율성을 위하여 웹2.0 기반 기술인 Ajax와 Naver Map OpenAPI 서비스를 활용하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.409-412
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• 2011

본 논문에서는 LBS를 이용한 지하철 이용 서비스를 제안한다. 이 서비스는 지하철 내부에서 자신의 정확한 역 내 위치를 추적하고 공유할 수 있도록 하여 이용자의 편리성을 극대화 한다. 이 서비스는 GPS와 모바일통신 기술을 기반으로 하여 지상/지하 관계없이 사용자 자신의 위치를 추적함으로서 공간의 이동에 따른 서비스제약을 최소화 한다. 단순히 현재 위치를 실시간으로 제공하는 것을 목적으로 하는 것이 아니라 추출한 위치를 기반으로 목적지까지의 보다 정확한 도착시간, 잔여시간, 남은 정거장수, 알람시간 등의 정보를 제공하여 기존 서비스에서 더욱 고급화되고 향상된 서비스를 제공한다. 본 논문에서는 google map, naver map등의 open API를 이용하여 지도상에서만 제공하는 지하철 LBS보다 응용력 및 서비스 품질 면에서 우수함을 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.405-408
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• 2021

글로벌시대가 시작되면서 많은 사람들이 외국인과 소통하는 일이 많아졌다. 해외에 있는 사람들과 소통하기 위해 많은 사람들이 요금이 부과되지 않는 모바일 메신저를 사용한다. 하지만 많은 모바일 메신저에서는 번역기능을 제공하지 않는다. 본 연구는 다국적 언어 소통을 위한 번역이 가능한 모바일 메신저를 제공한다. 외부 번역 naver papagoAPI 와 firebase의 인증, 실시간 데이터베이스를 이용하는 안드로이드 기반 자동 번역 채팅 앱과 연결하여 자동 번역 채팅 서비스를 구현하였다. 본 논문의 애플리케이션은 기존에 번역기나 챗봇을 사용해야 했던 불편함은 낮추고 외국어 채팅의 자유도를 높여주는 결과가 나타난다. 이를 통해 자연스러운 외국어 채팅이 가능하도록 하여 서로 다른 언어를 사용하는 사람들과 언어에 상관없이 자유로운 의사소통을 가능하도록 한다.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.2
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• pp.77-86
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• 2008

The information of university entrance examination is important information to examinees as well as each universities. And this information can be used various fields. By using this information, examinees can choose the university which is most suitable regions through oneself's grade, and universities can decide the entrance policy and public relations of university. Furthermore, this information can be used important data to promote student's welfare. Therefore the introduction of College Matriculation System which can share between examinees and universities is keenly required. This study has developed the College Matriculation System which is Web2.0- based by using Naver Map API. By using this system, the information about candidates, and successful candidates and registrants for admission can be analysed, also the ratio of successful candidates in comparison with candidates and the change ratio of candidates during these three years can be analyzed. Besides, it can be supported the entrance public relations policy of universities by managing the public relations history, and it can be provided the information of university by grade to examinees on matriculation information based. Therefore, it was possible that manage and practical use of various data through connected with map based on web 2.0 which is opened. And it is considered possible to express more various information based on map constructing GIS system of user center that is not GIS system of existent offerer center.

• KIISE Transactions on Computing Practices
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• v.21 no.10
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• pp.658-669
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• 2015

The paradigm of game development changes with technological trends. If the system can analyze and determine undefined inputs, users' input choices are not restricted. Therefore, game scenarios can have multifarious flows depending upon the user's input data. In this paper, we propose a method of including an output plan in the game system that is based on the user's input but is not restricted to predefined choices. We have implemented an experimental game on the Android platform by combining network communication and APIs. The game interface works as follows: first, the user's input data is transmitted to the server using HTTP protocol; then, the server carries out an analysis on the input data; and finally, the server returns the decision result to the game device. The game can provide users a scenario that corresponds to the decision results. In this paper, we used an image file for the user's input data format. The server calculates similarities between the user's image file and reference images obtained from the Naver Image Search API and then returns determination results. We have confirmed the value of integrating the game development framework with other computing technologies demonstrating the potential of the proposed methods for application to various future game interfaces.

• The Korean Journal of Applied Statistics
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• v.32 no.2
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• pp.213-227
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• 2019

In this paper, we propose an end-to-end deep learning model combining Bayesian neural network with Korean speech recognition. In the past, Korean speech recognition was a complicated task due to the excessive parameters of many intermediate steps and needs for Korean expertise knowledge. Fortunately, Korean speech recognition becomes manageable with the aid of recent breakthroughs in "End-to-end" model. The end-to-end model decodes mel-frequency cepstral coefficients directly as text without any intermediate processes. Especially, Connectionist Temporal Classification loss and Attention based model are a kind of the end-to-end. In addition, we combine Bayesian neural network to implement the end-to-end model and obtain Monte Carlo estimates. Finally, we carry out our experiments on the "WorimalSam" online dictionary dataset. We obtain 4.58% Word Error Rate showing improved results compared to Google and Naver API.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.99-106
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• 2024

In this paper, we design and implement the HealthSchedule app, which records exercise data based on the GPS sensor embedded in smartphones. This app utilizes the smartphone's GPS sensor to collect real-time location information of the user and displays the movement path to the designated destination. It records the user's actual path using latitude and longitude coordinates. Users register exercise activities and destination points when scheduling, and initiate the exercise. When measuring the current location, a lime green departure marker is generated, and the movement path is displayed in blue, with the destination marker and a surrounding 25-meter radius circle shown in sky blue. Using the coordinates of the starting point or the previous location and the current GPS sensor-transmitted location coordinates, it measures the distance traveled, time taken, and calculates the speed. Furthermore, it accumulates measurement data to provide information on the total distance traveled, movement path, and overall average speed. Even when reaching the destination during exercise, the movement path continues to accumulate until the completion button is clicked. The completion button is activated when the user moves into the sky blue circular area with a radius of 25 meters, centered around the initially set destination. This means that the user must reach the designated destination, and if they wish to continue exercising without clicking the completion button, they can do so. Depending on the selected exercise type, the app displays the calories burned, aiming to increase user engagement and a sense of accomplishment.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.571-581
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• 2015

In the field of Korean medicine (KM), KM terms has been mixed used for a long period. After the Society of KM had systematically organized the KM terms used in our country, the book for the Korean medical standard terminologies was published. In this study, we developed an online service based on the book. The online service provides various useful functions for searching the terms and their commentary and collecting users' opinions. Users can also compare the standard terms with their semantic search results and naver's knowledge search results within our system. By analyzing logs of our system, we suggested several directions for future development, including the improvement of search functions, advertisements, and the provision of open APIs. In the future, our online service might provide the important information on clinics, academic researches, and international standards.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.39-46
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• 2021

When conducting social big data analysis for franchise stores, reviews of multiple branches of a franchise can be collected together, from which analysis results can be distorted significantly. To improve its accuracy, it should be possible to filter reviews of other branches properly which are not subject to the analysis. This paper presents a method for social big data analysis which reflects characteristics of franchise stores. The proposed method consists of search key configuration and review filtering. For the former, the open data provided by Small Business Promotion Agency is used to extract region names for collecting reviews more accurately. For the latter, open search APIs provided by Naver or Kakao are used to obtain franchise branch information for filtering reviews of other branches that are not subject to analysis. To verify performance of the proposed method, experiments were conducted based on real social reviews collected from online, where the results showed that the accuracy of the proposed review filtering was 93.6% on the average.