• Journal of the HCI Society of Korea
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• v.5 no.1
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• pp.11-18
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• 2010

Cell phone users frequently send and receive text messages with emoticons in their everyday lives, but emoticon and its emotional effect on message in mobile context has not been focused on. The purpose of this study is to investigate the emotional effect of emoticons on interpretation of text message considering valent texts and emoticons. Study 1 showed the effect of valent emoticons on neutral message, and also revealed that existence of emoticon, regardless of its valence, decreases rigidness and increases familiarity of message. In Study 2 that used positive and negative text messages, we found that emoticon still affects assessing sender's mood state and emotion. Result of interaction between valences of text and emoticon showed that participants in condition of incongruent pairs felt more sarcasm.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.592-598
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• 2021

Current cellular systems rely on a CBS protocol for emergency alert broadcast services. However, the CBS protocol just specifies the delivery of a limited text message. Therefore, foreigners, who are unfamiliar with local characters, may have some difficulties in understanding the received CBS text message. The CBS protocol also reveals a distinct restriction in delivering abundant information because of a limited number of text characters. In order to overcome the weak points of the current CBS protocol, we propose a display method of image information and URL on the screens of mobile terminals for the received CBS text message in this paper. The presented approach effectively utilizes the message structure of CBS for 5G cellular systems.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.205-208
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• 2024

Artificial Intelligence (AI) technology has evolved rapidly in recent years and is used in everything from banking to email management to surgery, but without the help of the visible, most of the fun features of the Internet include visual impairment. It benefits people with disabilities. The main purpose of this study is to find ways to help people with visual impairments using AI technology. A visually impaired request is made for the visually impaired. For example, when a message arrives that the program will notify you by voice (reads the sender's name, read the message, and replies to it if necessary), this is a special program installed on your mobile phone. This program uses a customized algorithm developed in Python to convert written text to voice, read text, and convert voice to written text on a message when a visually impaired person wants to respond. Then it sends the response in the form of a text message. Therefore, the research should lead to programs for people with visual impairments. This program makes mobile phones easier and more comfortable to use and makes the daily life easier for visual impairments.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06a
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• pp.885-892
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• 1994

This paper presents the Korean text-to-speech (TTS) algorithm with speed and intonation control capability, and describes the development of the Voice message delivery system employing this TTS algorithm. This system allows the Interpersonal Messaging (IPM) Service users of Message Handling System (MHS) to send his/her text messages to user via telephone line using synthetic voice. In the X.400 MHS recommendation, the protocols and service elements are not specified for the voice message delivery system. Thus, we defined access protocol and service elements for Voice Access Unit based on the application program interface for message transfers between X.400 Message Transfer Agent and Voice Access Unit. The system architecture and operations will be provided.

• MALSORI
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• no.49
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• pp.77-94
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• 2004

In this paper, new voice message system supporting massive outbound call is proposed. Basic idea of the proposed system is to pre-process all the text-to-speech conversion process, mixing of text and attached music file and to store the results of pre-process in the cache server which is connected to the IVR. New voice message system is optimized for the voice message system supporting massive outbound call by distributing the load of the web server caused by server-side script implementation which is accessing database and generating dynamic Voice XML document over client module and server module of web server. The proposed voice message system was test-deployed in one domestic voice message application service provider and it is shown that proposed voice message system reduced the response latency problem of test-bed voice message system.

• The Journal of Industrial Distribution & Business
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• v.11 no.7
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• pp.7-17
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• 2020

Purpose: The purpose of this study was to identify factors that enhance the effectiveness of bulk text message advertising on consumer attention in the telecommunications industry in Zimbabwe. Research design, data and methodology: The study collected data using structured questionnaires. The study attracted 293 responses from consumer subscribers of the Zimbabwean telecommunications industry. Data was analysed using SPSS and measures of association, direction, strength and significance were used. Results: The study found out that the examined variables of bulk text messaging (Simplicity, Frequency and Informativeness) had a positive significant impact on consumers' attention (β= 0.645; p-value < 0.05). The study examined four bulk text advertising determinants, namely frequency, simplicity, informativeness and credibility. Only credibility was found to be statistically insignificant (p-value > 0.05), whilst frequency had an inverse effect on consumer attention. Simplicity of bulk text advertisements recorded a high positive and significant impact whilst informativeness was also positively, and significantly affecting consumer attention. Conclusions: The study concluded that for bulk text advertising to be effective, text messages should be informative, easy to understand and dispatched less frequently. It was further concluded that bulk text advertising should follow permission marketing where consumers consent before hand to be recipients of commercials.

• Journal of the Korea Society of Computer and Information
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• v.21 no.9
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• pp.57-63
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• 2016

The purpose of the study is to investigate the preference by emoticon types according to the gender of sender, emotion types of message and intimacy with the recipient. Results show that women mostly prefer to use dynamic and imaged emoticon than men. However, the preference of using text messages increases when both men and women express uncomfortable emotion. Especially, when users send family messages, they tend to prefer for text message. And when users send close friends messages, the preference for dynamic and imaged emoticon is high. When users send distant friends messages, the similar tendency is shown regardless of emotion. These results can provide the information to use emoticon in the filed of education and take advantage in digital education and mobile education.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.285-291
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• 2022

With the growing exchange of data between individuals and institutions through various electronic communication, valuable data protection is in high demand to ensure that it is not hacked and that privacy is protected. Many security techniques, such as encryption and steganography, have emerged to prevent security breaches. The purpose of this research is to integrate cryptographic and steganography techniques to secure text message sending. The Rijndael algorithm was used to encrypt the text message, and the Least Significant Bit algorithm was also used to hide the encrypted message in a color image. Experiments on the suggested method have proven that it can improve the security of sent messages due to the human eye's inability to identify the original image from the image after it has been covered, as well as the encryption of the message using a password.

• Smart Media Journal
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• v.7 no.4
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• pp.24-29
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• 2018

Text analysis technique for natural language processing in deep learning represents words in vector form through word embedding. In this paper, we propose a method of constructing a document vector and classifying it into spam and normal text message, using word embedding and deep learning method. Automatic spacing applied in the preprocessing process ensures that words with similar context are adjacently represented in vector space. Additionally, the intentional word formation errors with non-alphabetic or extraordinary characters are designed to avoid being blocked by spam message filter. Two embedding algorithms, CBOW and skip grams, are used to produce the sentence vector and the performance and the accuracy of deep learning based spam filter model are measured by comparing to those of SVM Light.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.2
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• pp.77-81
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• 2013

The international standard AIS, which stands for the safety of ship navigation and vessel traffic management, provides 27 messages to exchange the navigational information of ship. Among 27 messages, message ID 6 and 8 are defined as the binary data format to exchange application specific information and are classified into IFM for international use and RFM for national or regional use. Since international standards are based on English, there have been some needs to exchange data in Hangul text for vessel traffic management to correct the static and dynamic ships' information. In this paper, I analyze international standards to provide a Hangul text messaging service based on RFM and propose a RFM message and a simple protocol to correct information of a ship.