오락분야 멀티미디어시장 수요예측

류귀열,허희영 한국항공대학교 경영연구소 1997 경영연구 Vol.4 No.1

We will forecast the demand of entertainment multimedia services until 2015 in KOREA. It is very difficult to know how rapidly and how successfully the multimedia market will develop. This uncertainty cannot be removed in order to make a forecast, because so much is in flux New products have been promised but are yet available, the broadband network is only starting to be put into place, Service tests h e not been completed, and pnang remains a question To overcome these serious problems in making a forecast, the sample survey am be adopted We investigated users in Seoul by sample survey between September 16th and October 26th 1996. We assumed the many conditions which cannot be investigated. We adopt the service classification of WinterGreen Research The target services are Video on Demand(VOD), Remote Game, Remote Sports, and Remote Music

DMB와 휴대인터넷 경쟁/보완관계 분석

류귀열 동의대학교 경제경영전략연구소 2004 經濟經營硏究 Vol.2 No.2

DMB services and Wibro services are new services in telecommunications. Korean Broadcasting Commission, and MIC control DMB services and Wibro services respectively. More than 6 service providers in DMB services and mre than 3 service providers in Wibro services will be decided. Our paper analyse the relationship between DMB services and Wibro services. We use the survey data conducted in June 2003. Our result is two services are competition goods even if two services have different characteristics. Our paper has the limit because we use survey data.

P2P 캐싱을 기반으로 한 효율적인 브로드캐스트 스트리밍 기법

이치훈,계이기,정인범,최창열,최황규 강원대학교 정보통신연구소 2006 정보통신논문지 Vol.10 No.-

Video-on-Demand is undoubtedly a promising technology for many important applications. Several periodic broadcast techniques have been proposed for the cost-effective implementation of such systems. However, there is a server delay for all of them. To address the shortcoming, we present a new scheme improving the staggered broadcasting by jointly using prefix caching scheme of VOD system in P2P environments. In thins paper, each client plays a role in the first segment staggered broadcasting server to serve the prefix stream to other clients that request the same video stream. The buffer can be empty after the client has served the following client. As a result, we are able to achieve no service latency time and the low buffer space.

A Study on Open API of Securities and Investment Companies in Korea for Activating Big Data

Gui Yeol Ryu 한국인터넷방송통신학회 2019 Journal of Advanced Smart Convergence Vol.8 No.2

Big data was associated with three key concepts, volume, variety, and velocity. Securities and investment services produce and store a large data of text/numbers. They have also the most data per company on the average in the US. Gartner found that the demand for big data in finance was 25%, which was the highest. Therefore securities and investment companies produce the largest data such as text/numbers, and have the highest demand. And insurance companies and credit card companies are using big data more actively than banking companies in Korea. Researches on the use of big data in securities and investment companies have been found to be insignificant. We surveyed 22 major securities and investment companies in Korea for activating big data. We can see they actively use AI for investment recommend. As for big data of securities and investment companies, we studied open API. Of the major 22 securities and investment companies, only six securities and investment companies are offering open APIs. The user OS is 100% Windows, and the language used is mainly VB, C#, MFC, and Excel provided by Windows. There is a difficulty in real-time analysis and decision making since developers cannot receive data directly using Hadoop, the big data platform. Development manuals are mainly provided on the Web, and only three companies provide as files. The development documentation for the file format is more convenient than web type. In order to activate big data in the securities and investment fields, we found that they should support Linux, and Java, Python, easy-to-view development manuals, videos such as YouTube.

A Study on Innovators in Korean Market

Gui-Yeol Ryu,Kichul Choi 한국지능정보시스템학회 2003 한국지능정보시스템학회 학술대회논문집 Vol.- No.-

A Detection Procedure of a Parameter Change Point in AR ( 1 ) Models by Bayesian Approach

( Gui Yeol Ryu,Yong Gun Lee,Sin Sup Cho ) 한국품질경영학회 1989 품질경영학회지 Vol.17 No.2

A Study on Comparison of Open Application Programming Interface of Securities Companies Supporting Python

Gui Yeol Ryu 한국인터넷방송통신학회 2021 Journal of Advanced Smart Convergence Vol.10 No.1

Securities and investment services had the most data per company on the average, and used the most data. Investors are increasingly demanding to invest through their own analysis methods. Therefore, securities and investment companies provide stock data to investors through open API. The data received using the open API is in text format. Python is effective and convenient for requesting and receiving text data. We investigate there are 22 major securities and investment companies in Korea and only 6 companies. Only Daishin Securities Co. supports Python officially. We compare how to receive stock data through open API using Python, and Python programming features. The open APIs for the study are Daishin Securities Co. and eBest Investment & Securities Co. Comparing the two APIs for receiving the current stock data, we find the main two differences are the login method and the method of sending and receiving data. As for the login method, CYBOS plus has login information, but xingAPI does not have. As for the method of sending and receiving data, Cybos Plus sends and receives data by calling the request method, and the reply method. xingAPI sends and receives data in the form of an event. Therefore, the number of xingAPI codes is more than that of CYBOS plus. And we find that CYBOS plus executes a loop statement by lists and tuple, dictionary, and CYBOS plus supports the basic commands provided by Python.

A Study on Comparison of Open Application Programming Interface of Securities Companies Supporting Python

Ryu, Gui Yeol The Institute of Internet 2021 International journal of advanced smart convergenc Vol.10 No.1

Securities and investment services had the most data per company on the average, and used the most data. Investors are increasingly demanding to invest through their own analysis methods. Therefore, securities and investment companies provide stock data to investors through open API. The data received using the open API is in text format. Python is effective and convenient for requesting and receiving text data. We investigate there are 22 major securities and investment companies in Korea and only 6 companies. Only Daishin Securities Co. supports Python officially. We compare how to receive stock data through open API using Python, and Python programming features. The open APIs for the study are Daishin Securities Co. and eBest Investment & Securities Co. Comparing the two APIs for receiving the current stock data, we find the main two differences are the login method and the method of sending and receiving data. As for the login method, CYBOS plus has login information, but xingAPI does not have. As for the method of sending and receiving data, Cybos Plus sends and receives data by calling the request method, and the reply method. xingAPI sends and receives data in the form of an event. Therefore, the number of xingAPI codes is more than that of CYBOS plus. And we find that CYBOS plus executes a loop statement by lists and tuple, dictionary, and CYBOS plus supports the basic commands provided by Python.

A Detection Procedure of a Parameter Change Point in AR(1) Models by Bayesian Approach

Ryu, Gui Yeol,Lee, Yong Gun,Cho, Sinsup The Korean Society for Quality Management 1989 품질경영학회지 Vol.17 No.2

We investigate a procedure which detects the parameter change point in AR(1) by Bayesian Approach using Jeffrey prior, for example, coefficient change point, variance change point, coefficient and variance change point, etc. And we apply our procedure to the simulated data.

A Study on Open API of Securities and Investment Companies in Korea for Activating Big Data

Ryu, Gui Yeol The Institute of Internet 2019 International journal of advanced smart convergenc Vol.8 No.2

Big data was associated with three key concepts, volume, variety, and velocity. Securities and investment services produce and store a large data of text/numbers. They have also the most data per company on the average in the US. Gartner found that the demand for big data in finance was 25%, which was the highest. Therefore securities and investment companies produce the largest data such as text/numbers, and have the highest demand. And insurance companies and credit card companies are using big data more actively than banking companies in Korea. Researches on the use of big data in securities and investment companies have been found to be insignificant. We surveyed 22 major securities and investment companies in Korea for activating big data. We can see they actively use AI for investment recommend. As for big data of securities and investment companies, we studied open API. Of the major 22 securities and investment companies, only six securities and investment companies are offering open APIs. The user OS is 100% Windows, and the language used is mainly VB, C#, MFC, and Excel provided by Windows. There is a difficulty in real-time analysis and decision making since developers cannot receive data directly using Hadoop, the big data platform. Development manuals are mainly provided on the Web, and only three companies provide as files. The development documentation for the file format is more convenient than web type. In order to activate big data in the securities and investment fields, we found that they should support Linux, and Java, Python, easy-to-view development manuals, videos such as YouTube.