• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.131-136
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• 2017

Recently, with the development of Internet media, many document materials have become exponentially increasing on the web. These materials are described, and the information on what is the most by this text are classified according. However, the text has meant that many have room for ambiguous interpretation must look at it from various angles in order to interpret them correctly. In conventional classification methods it was simply a classification only have the appearance of the text. In this paper, we analyze it in terms genetic algorithm and local preserving based techniques and implemented a clustering system fragmentation them. Finally, the performance of this paper was evaluated based on the implementation results compared to traditional methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.3
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• pp.545-550
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• 2024

In a society undergoing rapid change, modern individuals are facing various stresses, and there's a noticeable increase in mental health treatments for children as well. For the psychological well-being of children, it's crucial to swiftly discern their emotional states. However, this proves challenging as young children often articulate their emotions using limited vocabulary. This paper aims to categorize children's psychological states into four emotions: depression, anxiety, loneliness, and aggression. We propose a method for constructing an emotion dictionary tailored for children based on assessments from child psychology experts.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1355-1362
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• 2021

Recently, not only congenital hearing impairment, but also the number of people with hearing impairment due to acquired factors is increasing. The environment in which sign language can be learned is poor. Therefore, this study intends to present a sign language (sign language number/sign language text) evaluation system as a sign language learning assistance tool for sign language learners. Therefore, in this paper, sign language is captured as an image using OpenCV and Convolutional Neural Network (CNN). In addition, we study a system that recognizes sign language behavior using MediaPipe, converts the meaning of sign language into text-type data, and provides it to users. Through this, self-directed learning is possible so that learners who learn sign language can judge whether they are correct dez. Therefore, we develop a sign language learning assistance system that helps us learn sign language. The purpose is to propose a sign language learning assistance system as a way to support sign language learning, the main language of communication for the hearing impaired.

• Electronics and Telecommunications Trends
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• v.38 no.3
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• pp.66-77
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• 2023

Governments intend to use the public warning system to deliver timely and accurate information using accessible communication technologies for protecting the population and reducing damage to life and property. In particular, many countries implement system interworking with smartphones to notify of disasters or emergencies. In Korea, since 2020, due to the influence of the coronavirus disease, frequent emergency text messages led people to turn off related notifications, and complaints for receiving irrelevant messages from nearby warning areas have increased. Therefore, technical improvements for issuing more accurate disaster information to a specific region should be devised through a geography-based emergency disaster message transmission service. We analyze development trends of public warning systems and service cases of geography-based emergency text transmission services in various countries.

• Journal of Digital Contents Society
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• v.4 no.2
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• pp.233-242
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• 2003

A TTS(Text-To-Speech) System is a computer-based system that should be able to read any text aloud. To output a natural voice, we need a general knowledge of language, a lot of time, and effort. Furthermore, the sound pattern of english has a variable pattern, which consists of phonemic and morphological analysis. It is very difficult to maintain consistency of pattern. To handle these problems, we present a system based on phonemic analysis for vowel and consonant. By analyzing phonological variations frequently found in spoken english, we have derived about phonemic contexts that would trigger the multilevel application of the corresponding phonological process, which consists of phonemic and allophonic rules. In conclusion, we have a rule data which consists of phoneme, and a engine which economize in system. The proposed system can use not only communication system, but also utilize office automation and so on.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.11-21
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• 2014

In this paper, concerning the various advertising and policy advertising of the election with respect to whether to deliver a message to a large number of people, we design and implement an automative system what enables sending the text messages directly from the server to the client and also fast feedback is enabled by utilizing a number of operational programs to connect to the server. Therefore, we design and implement the automative communication system which enables delivering message to each user mobile terminal from a plurality of relay mobile terminals by utilizing the mobile instant messenger, not to deliver a message from the server to the mobile instant messenger user directly. In result of comparative analysis on the number of times of data transmission, this automative communication system utilizing mobile instant messenger shows the result that it enables transmitting five times per minute as it can copy and paste in the automation system regardless of the size of the data loading, otherwise in case of transmitting manually it show the result that the number of times of data transmission is reduced if the size of the data is larger.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1983.04a
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• pp.18-28
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• 1983

This paper describes the result of a series of fundamental researches on a word processing system, named WORD80. Given the text consisting of Ilanguel characters, Chinese characters, English alphabets and other special characters, it can provide-ㄴo-see printout, after having processed according to the commands used to control the output format of the text. Since each Hanguel character in input text is made up of and is represented as some compoents, it uses the deterministic finite automata for the formation of Hanguel from its components. When developed at first, the WORD80 can perform Hanguel to Chinese transition character by character by character. But it was thought to be more practical to do this word by word.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.2
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• pp.373-378
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• 2023

Untypical symptoms and lack of diagnostic records make it difficult for even medical specialists to detect rare diseases. Thus, it takes a lot of time and money from the onset of symptoms to an accurate diagnosis, which seriously results in physical, mental, and economic pressure on patients. In this paper, we propose and implement an early detection assistance system for rare diseases using web crawling and text mining, which can suggest the names of suspected rare diseases so that medical staffs can easily recall the disease names and make a final diagnosis of the rare diseases.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.259-261
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• 2012

Chatting room has become widely using technology and it is vulnerable to the internet attackers. We proposed a chatting system using a Purebasic programming language to communicate across networks system. Chatting room text is a form of instant messaging between two or group of people. A Communication experiment was designed and implemented to confirm the validity of the developed chatting system on a trusted platform.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.885-886
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• 2006

The purpose of this study is to develop the optimal system(AAC device), which helps a person with a profound communication disorder to communicate with other people. Therefore, this system includes the user interface enhancement that is the user adaptation mode algorithm. The symbol is made with a text and an icon which is converted into Korean. The message contiol operates scanning and adjusts rate control of row-column scanning and linear scanning. This embedded system includes voice input/output and voice recording as well suggested method that could apply optimal device access algorithm from clinical environment. Therefore, we are experting that even the current system itself will be able to improve the life quality of people who need to communicate with the help of devices.