• Journal of Intelligence and Information Systems
• /
• v.28 no.1
• /
• pp.45-68
• /
• 2022

The central and local governments of the Republic of Korea provided information necessary for disaster response through wireless emergency alerts (WEAs) in order to overcome the pandemic situation in which COVID-19 rapidly spreads. Among all channels for delivering disaster information, wireless emergency alert is the most efficient, and since it adopts the CBS(Cell Broadcast Service) method that broadcasts directly to the mobile phone, it has the advantage of being able to easily access disaster information through the mobile phone without the effort of searching. In this study, the characteristics of wireless emergency alerts sent to Seoul during the past year and one month (January 2020 to January 2021) were derived through various text mining methodologies, and various types of information contained in wireless emergency alerts were analyzed. In addition, it was confirmed through the population mobility by age in the districts of Seoul that what kind of influence it had on the movement behavior of people. After going through the process of classifying key words and information included in each character, text analysis was performed so that individual sent characters can be used as an analysis unit by applying a document cluster analysis technique based on the included words. The number of WEAs sent to the Seoul has grown dramatically since the spread of Covid-19. In January 2020, only 10 WEAs were sent to the Seoul, but the number of the WEAs increased 5 times in March, and 7.7 times over the previous months. Since the basic, regional local government were authorized to send wireless emergency alerts independently, the sending behavior of related to wireless emergency alerts are different for each local government. Although most of the basic local governments increased the transmission of WEAs as the number of confirmed cases of Covid-19 increases, the trend of the increase in WEAs according to the increase in the number of confirmed cases of Covid-19 was different by region. By using structured econometric model, the effect of disaster information included in wireless emergency alerts on population mobility was measured by dividing it into baseline effect and accumulating effect. Six types of disaster information, including date, order, online URL, symptom, location, normative guidance, were identified in WEAs and analyzed through econometric modelling. It was confirmed that the types of information that significantly change population mobility by age are different. Population mobility of people in their 60s and 70s decreased when wireless emergency alerts included information related to date and order. As date and order information is appeared in WEAs when they intend to give information about Covid-19 confirmed cases, these results show that the population mobility of higher ages decreased as they reacted to the messages reporting of confirmed cases of Covid-19. Online information (URL) decreased the population mobility of in their 20s, and information related to symptoms reduced the population mobility of people in their 30s. On the other hand, it was confirmed that normative words that including the meaning of encouraging compliance with quarantine policies did not cause significant changes in the population mobility of all ages. This means that only meaningful information which is useful for disaster response should be included in the wireless emergency alerts. Repeated sending of wireless emergency alerts reduces the magnitude of the impact of disaster information on population mobility. It proves indirectly that under the prolonged pandemic, people started to feel tired of getting repetitive WEAs with similar content and started to react less. In order to effectively use WEAs for quarantine and overcoming disaster situations, it is necessary to reduce the fatigue of the people who receive WEA by sending them only in necessary situations, and to raise awareness of WEAs.

• Journal of Convergence for Information Technology
• /
• v.12 no.3
• /
• pp.178-185
• /
• 2022

This study compared and analyzed the characteristics of new words by classifying 197 newly coined Korean and Chinese characters in 2017 and 2018 into single, compound, derivative, abbreviated, and hybrid words according to the coined method. In the case of a single language, Korean is all words borrowed from Chinese and English. However, no monolingual language appeared in Chinese. In the case of compound words, the format of the Chinese synthesis method was much more diverse and the generative power was stronger than that of Korea. In the case of derivatives, there are not many prefixes in both countries, and Korean suffixes have the strongest productivity of Chinese suffixes and weak productivity of foreign and native suffixes. Korean foreign language suffixes were characterized by relatively more appearance than Chinese. In the case of abbreviations, it can be seen that the productivity of dark syllables is stronger for Korean abbreviations, and the productivity of empty syllables is stronger for Chinese abbreviations. In the case of mixed languages, the hybrid form of Korean was much more diverse than that of Chinese. Through this study, it will be possible to help Chinese Korean learners understand the process of forming a new language, and to develop their ability to guess the meaning of Korean words while learning a new language.

• Journal of Digital Convergence
• /
• v.13 no.12
• /
• pp.151-160
• /
• 2015

As a lexical meaning, casino is defined as "a certified gambling house, equipped with recreational facilities such as dance and music, etc., where people play roulette or cards." Casinos started from 17th to 18th century for European nobility and their social meetings and established a casino industry framework in the United States in the 1930s. The success of the casino business leads to the increase of sales; it became very helpful for the local and national government revenues and also for the related incidental tasks. Casino operations include a variety of fields, such as general customer management, dealer game management, security, account management, currency exchange, re-exchange management, marketing management, comp management and placement management, etc. These operations should be organically connected to each other by information systems such as a groupware, ERP and Customer Relationship Management (CRM), etc. In addition, in order to effectively manage comprehensive entertainment service, including accommodation and tourism, it is necessary to develop an information system which supports casino business and collateral entertainment service, collects the data generated throughout the business and provides information about the situations of management. Thus, this study will propose a casino information system designed and implemented, considering these details.

• Annual Conference on Human and Language Technology
• /
• 1997.10a
• /
• pp.469-476
• /
• 1997

본 연구는 한글 전용과 한자 혼용이 글의 이해 속도, 이해 정도, 내용의 기억에 어떤 영향을 미치는 가를 조사하기 위해 실시되었다. 한글 전용론과 한자 혼용론은 각각 나름대로의 논리를 가지고 서로 논쟁을 펼쳐왔다. 먼저 한글전용론의 주장을 살펴보면, 한자는 배우기 어렵고 쓰기도 불편해 쉽게 익힐 수 있는 한글을 사용해야 하며, 한자를 사용함으로 인해서 순 우리말의 발전이 방해를 받고, 글자 생활의 기계화와 출판 문화의 발달에 있어 한자는 이것을 어렵게 한다는 것이다. 반면에, 한자혼용론의 주장에 따르면, 한자말은 한자로 적을 때 그 의미의 파악이 빠르고 정확하고, 우리말 어휘의 절반 이상을 한자어가 차지하고 있으므로 한자를 가르치는 것이 국어교육의 지름길이고, 우리말에는 동음이의어가 많아서 한글로만 적을 경우 그 뜻을 식별하기 어렵고, 한자는 각 글자가 모두 뜻을 가지고 있으므로, 각각을 조합하여 새로운 의미의 단어를 쉽게 만들 수 있음은 물론이고 한글로 쓸 경우 길게 쓰여져야만 하는 것을 짧게 쓸 수 있다는 장점을 가지고 있으며, 한자를 쓰지 않으면 우리의 전통 문화를 이어 받을 수 없으며 한자를 공통으로 쓰고 있는 동양문화권에서도 고립을 초래할 수 있다는 것이다. 이렇게 한글전용과 한자혼용에 대한 의견이 다양한 만큼 우리나라의 한자에 대한 정책도 그 갈피를 잡지 못하고 계속 바뀌어 왔다. 독립이후 정부에서는 법령과 훈령 등으로 모든 공문서에서의 한자사용을 금지하고 일반 사회의 문자 생활에도 한글을 전용할 것을 권고하지만 이 지침은 결국 공문서에만 한정되어 왔고 후에는 이것조차도 유명무실해졌다. 또한 중고등학교의 한자교육 정책도 수차례 변화되어 한글만을 배운 세대가 사회에 나와 여전히 한자가 사용되고 있어 적응에 문제점을 가지기도 하였다. 본 연구에서는 그 동안 계속되어 온 한글과 한잔의 사용에 관한 논쟁을 언어심리학적인 연구 방법을 통해 조사하였다. 즉, 글을 읽는 속도, 글의 의미를 얼마나 정확하게 이해했는지, 어느 것이 더 기억에 오래 남는지를 측정하여 어느 쪽의 입장이 옮은 지를 판단하는 것이다. 실험 결과는 문장을 읽는 시간에서는 한글 전용문인 경우에 월등히 빨랐다. 그러나. 내용에 대한 기억 검사에서는 국한 혼용 조건에서 더 우수하였다. 반면에, 이해력 검사에서는 천장 효과(Ceiling effect)로 두 조건간에 차이가 없었다. 따라서, 본 실험 결과에 따르면, 글의 읽기 속도가 중요한 문서에서는 한글 전용이 좋은 반면에 글의 내용 기억이 강조되는 경우에는 한자를 혼용하는 것이 더 효율적이다.

• Journal of KIISE:Software and Applications
• /
• v.29 no.10
• /
• pp.726-735
• /
• 2002

E-mail service has been a general method for communication as internet is widely used instead of post mails. Many companies have invested in e-mail advertisement as e-mail service is spread. E-mail advertisement has an advantage that it can consider personal characters. A lot of e-mail users have been given e-mails that they did not want to receive because their e-mail addresses were opened out to companies on internet. Therefore, they need junk mail checking systems and several e-mail service providers have supported junk mail filters. However, the junk mail filters can check the junk mail with constraint because they don't check the junk degree of mails by the contents of e-mail. This paper suggests a content-based junk mail checking model using fuzzy relational products. The process of the junk mail checking model using fuzzy relational products is as following: (1) analyzes semantic relation between junk words-base and e-mails, (2) checks the junk degree of the e-mail using the semantic relation, (3) checks the mails with SVJ(Standard Value of Junk) if those are junk mail or non-junk mail. The efficiency of the proposed technique is proved by comparing the junk degree of the e-mail and the number of junk mails that was checked by e-mail users and checked by the proposed junk mail checking model.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.2
• /
• pp.305-312
• /
• 2023

In introducing memory methods in various educational fields, programs in a mobile environment can be used for the purpose of increasing accessibility and enhancing the effectiveness of education. It is much easier to remember words with meaning than to remember numerical information such as years. From the standpoint of increasing the educational effect, the part that needs to be supplemented with the help of the application can be said to be numerical information. Most studies related to conventional numerical memory have focused on the form that helps memory by imaging numbers. In the paper on memory-based meta-record algorithms in the mobile environment, the application developed in the previous study attempts to supplement this by discovering and simply modifying the user's mistakes in the entered numerical information. In this study, we aim to increase the memory rate by constructing metadata based on personalized log information and correcting mistakes. To do this, applications suitable for the mobile environment are developed, a structure of meta-record data is proposed, and meta-record application algorithms are implemented and evaluated.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.59-67
• /
• 2021

The development of AI technology has brought about a big change in our lives. As AI's influence grows from life to society to the economy, the importance of education on AI and data is also growing. In particular, the OECD Education Research Report and various domestic information and curriculum studies address data literacy and present it as an essential competency. Looking at domestic and international studies, one can see that the definition of data literacy differs in its specific content and scope from researchers to researchers. Thus, the definition of major research related to data literacy was analyzed from various angles and derived from various angles. In key studies, Word2vec natural language processing methods, along with word frequency analysis used to define data literacy, are used to analyze semantic similarities and nominate them based on content elements of curriculum research to derive the definition of 'understanding and using data to process information'. Based on the definition of data literacy derived from this study, we hope that the contents will be revised and supplemented, and more research will be conducted to provide a good foundation for educational research that develops students' future capabilities.

• (The) Research of the performance art and culture
• /
• no.40
• /
• pp.163-192
• /
• 2020

Sinjungsin Mask Play, one of Ttangseolbeop, is related to Seongjusin's life story. Sinjungsin Mask Play is a reconstruction of the story of the folk gods Seongjusin met while returning home. Seongjusin's life story proceeds in the form of Mask Play, and the monk who leads the sermon plays narration and main roles. Many believers play various roles and musicians. Sinjungsin Mask Play introduces many folk beliefs, sounds for intrigue, and talks. Sinjungsin Mask Play uses the same method of enumeration and repetition as the existing Mask Play. The repetition of a sentence or phrase plays a role in foreseeing the meaning of the context or foretelling the development of the plot to the audience. This repetition is intended to emphasize the situation of the scene and to create rhythm. Since Mask Play was exclusively for the common people, Mask Play actors use the repeating method commonly used in folk songs to form lines. This gives the audience a familiarity, effectively communicating the lines and responding to their tastes. Sinjungsin Mask Play borrowed people's way of playing for the public's mission. It inherits the dramatic forms of traditional traditional plays such as repetition of words or sentences or phrases, codification of words or sentences, borrowing of existing songs, and formal expression units. In addition, through repeated performances, believers can easily and easily learn and understand. This is the dramatic form and characteristics of Sinjungsin Mask Play. Sinjungsin Mask Play was handed down from Faith Communities and was used as a means of folk cultivation to spread illegality. Buddhism externalizes the process of accepting folk beliefs through Mask Play, and in the case of Shinto who participated directly or indirectly, they naturally acquire the belief system of Hwaeom Kyung through play. Sinjungsin Mask Play, one of Ttangseolbeop, can be said to have great value as an ICH, as well as popularization and mission.

• Korean Journal of Cognitive Science
• /
• v.23 no.4
• /
• pp.425-455
• /
• 2012

Multi-dimensional verbal short-term memory mechanisms are largely divided into the phonological channel and the lexical-semantic channel. The former is called phonological short-term memory and the latter is called semantic short-term memory. Phonological short-term memory is further segmented into the phonological input buffer and the phonological output buffer. In this study, the language performance of each of three patients with similar levels of conduction aphasia was analyzed in terms of multi-dimensional verbal short-term memory. To this end, three patients with conduction aphasia were instructed to perform four different aspects of language tasks that are spontaneous speaking, repetition, spontaneous writing, and dictation in both word and sentence level. Moreover, the patients' phonological memories and semantic short-term memories were evaluated using digit span tests and verbal learning tests. As a result, the three subjects exhibited various types of performances and error responses in the four aspects of language tests, and the short-term memory tests also did not produce identical results. The language performance of three patients with conduction aphasia can be explained according to whether the defects occurred in the semantic short-term memory, phonological input buffer and/or phonological output buffer. In this study, the relations between language and multi-dimensional verbal short-term memory were discussed based on the results of language tests and short-term memory tests in patients with conduction aphasia.

• Proceedings of the Acoustical Society of Korea Conference
• /
• autumn
• /
• pp.105-108
• /
• 1999

TTS(Text-To-Speech) 시스템 합성음성의 자연감을 개선하기 위해 하나의 언어에 대해 존재하는 운율 법칙을 정확히 구현해야 한다. 존재하는 운율 법칙을 추출하기 위해서는 방대한 분량의 언어 자료 구축이 필요하다. 그러나 이 방법은 존재하는 운율 현상이 포함된 언어자료에 대해 완벽한 운율을 파악할 수 없으므로 합성음성의 질을 좋게 할 수 없다. 본 논문은 한국어 음성의 운율을 학습하기 위해 2개의 인공 신경망을 제안한다. 하나의 신경망으로 문장의 각 음소에 대한 피치 변화를 학습시키는 것이며, 다른 하나는 에너지 변화를 학습하도록 하였다. 신경망은 BP 신경망을 이용하며 11개의 음소를 나타내기 위해 11개의 입력과, 중간 음소의 피치와 에너지 변화곡선을 근사하는 다항식 계수를 출력하도록 하였다. 신경망시스템의 학습과 평가에 앞서, 음성학적 균형잡힌 고립단어를 기반으로 의미있는 문장을 구성하였다. 문장을 남자 화자로 하여금 읽게 하고 녹음하여 음성 DB를 구축하였다. 음성 DB에 대해 각 음소의 운율 정보를 수집하여 신경망에 맞는 목표 패턴과 훈련 패턴을 작성하였다. 이 목표 패턴은 회귀분석을 통한 추세선을 이용해 피치와 에너지에 대한 2차 다항식계수로 구성하였다. 본 논문은 목표패턴에 맞는 신경망을 학습시켜 좋은 결과를 얻었다.