• Journal of Advanced Navigation Technology
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• v.19 no.5
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• pp.452-457
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• 2015

Recently, wearable devices have gained popularity with familiar form factors and designs of eye-wear and watch to satisfy wearers' various preferences. Since UI/UX of smartphones can not be applied directly on smaller wearable devices, text entry on wearable devices is still problematic. In this paper, we first identify UI/UX problems of existing input methods and propose a new input method for wearable devices specifically targeting smartwatch platforms. We design and implement an efficient text entry method for wearable devices using trackball sensor and evaluate its performance and usability.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.3
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• pp.241-246
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• 2004

We have designed LED display system using ARM7TDMI processor and implemented hangul input and output. This system is easily extensible because controller board and LED matrix board were designed one module. Possible Input Methods of LED display system are PC, PDA and remote controller's wired and wireless communication. We have ported QT/Embedded 2.3.7 with touch panel Input at embedded board of Linux OS 2.4.18 and PXA255 Processor based. QT Application which we coded is able to input displaying text using ethernet communication on embedded system. Many of indicating text data is able to be saved because only korean alphabet codes are stored for data which users want displaying.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.94-102
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• 2009

As an advance in medical technology development is being made, and people are increasingly aware of the importance of health, related investments and people's average life expectancy rise, which in turn leads to an increase in elderly people. Also, with a growing number of elderly people enjoying their leisure activities, the utilization of multimedia contents using computers is on the increase, leading to an activated research into the establishment of digital culture for the elderly people. This paper proposes a Korean text input system to enable the elderly to utilize digital contents. Text input interface has conventionally depended on keyboards. However, the keyboard wherein many keys are dispersed creates problems for the elderly, such as a protracted recognition of keys and a lowered concentration when they use the keyboard. To address these problems, in this paper, the grip type controller interface for console games was used and a corresponding alphabet location algorithm was developed. To verify these efforts, a simulator was developed to test 20 elderly people; as a result, their satisfaction over and convenience of using the grip type interface increased.

• Journal of information and communication convergence engineering
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• v.20 no.4
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• pp.309-316
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• 2022

This investigation is aimed at automatic text summarization on large-scale Vietnamese datasets. Vietnamese articles were collected from newspaper websites and plain text was extracted to build the dataset, that included 1,101,101 documents. Next, a new single-document extractive text summarization model was proposed to evaluate this dataset. In this summary model, the k-means algorithm is used to cluster the sentences of the input document using different text representations, such as BoW (bag-of-words), TF-IDF (term frequency - inverse document frequency), Word2Vec (Word-to-vector), Glove, and FastText. The summary algorithm then uses the trained k-means model to rank the candidate sentences and create a summary with the highest-ranked sentences. The empirical results of the F1-score achieved 51.91% ROUGE-1, 18.77% ROUGE-2 and 29.72% ROUGE-L, compared to 52.33% ROUGE-1, 16.17% ROUGE-2, and 33.09% ROUGE-L performed using a competitive abstractive model. The advantage of the proposed model is that it can perform well with O(n,k,p) = O(n^(k+2/p)) + O(nlog₂n) + O(np) + O(nk²) + O(k) time complexity.

• Korean Journal of Agricultural and Forest Meteorology
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• v.19 no.3
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• pp.174-179
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• 2017

Soil parameters are required inputs to crop models, which estimate crop yield under a given environment condition. The Korean Soil Information System (KSIS), which provides detailed soil profile record of 390 soil series in the HTML (HyperText Markup Language) format, would be useful to prepare soil input files. Korean Soil Information System Processing Tool (KSISPT) was developed to aid generation of soil input data based on the KSIS database. Java was used to implement the tool that consists of a set of modules for parsing the HTML document of the KSIS, storing data required for preparing soil input file, calculating additional soil parameter, and writing soil input file to a local disk. Using the automated soil data preparation tool, about 940 soil input data were created for the DSSAT model and the ORYZA 2000 model, respectively. In combination with soil series distribution map at 30m resolution, spatial analysis of crop yield could be projected under climate change, which would help the development of adaptation strategies.

• English Language & Literature Teaching
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• v.17 no.4
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• pp.49-74
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• 2011

The present paper aims to explore the role of non-negotiated input and output in language acquisition in the context of free Web chat. In order to examine how input and output contribute to language acquisition, with or without meaning negotiation, the present study examined a Korean EFL learner's chat data collected over 6 months. Chat texts across 43 chat sessions were analyzed, along with her comment notes and interviews. The input and output negotiated for meaning were traced throughout all sessions to find evidence that they were linked to acquisition. Other input and output in the interaction were also traced to ascertain if they contributed to acquisition. The chat text analysis, comment notes, and the interviews revealed that the opportunities of meaning negotiation in a free Web chat context was quite limited and that the learner acquired language even in the absence of meaning negotiation. The findings suggest that input and output via Web chat, whether negotiated or non-negotiated, play their respective roles, contributing to different aspects of acquisition.

• Journal of Computing Science and Engineering
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• v.5 no.3
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• pp.161-166
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• 2011

We present a fast algorithm for Korean text extraction and segmentation from subway signboards using smart phone sensors in order to minimize computational time and memory usage. The algorithm can be used as preprocessing steps for optical character recognition (OCR): binarization, text location, and segmentation. An image of a signboard captured by smart phone camera while holding smart phone by an arbitrary angle is rotated by the detected angle, as if the image was taken by holding a smart phone horizontally. Binarization is only performed once on the subset of connected components instead of the whole image area, resulting in a large reduction in computational time. Text location is guided by user's marker-line placed over the region of interest in binarized image via smart phone touch screen. Then, text segmentation utilizes the data of connected components received in the binarization step, and cuts the string into individual images for designated characters. The resulting data could be used as OCR input, hence solving the most difficult part of OCR on text area included in natural scene images. The experimental results showed that the binarization algorithm of our method is 3.5 and 3.7 times faster than Niblack and Sauvola adaptive-thresholding algorithms, respectively. In addition, our method achieved better quality than other methods.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.77-86
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• 2019

The purpose of this study was to reveal how the agility of fingers directly involved in the use of mobile phones, a necessity for modern people, is related to the amount of text usage. To find out, 95 people who agreed to the purpose of this research without any limitation on visual and upper-geometry were selected. The research period was from June 27, 2018 to July 31, 2018. The evaluation tool used in this study was Grooved Pegboard, a standardized evaluation tool that measures hand dexterity, and the general characteristics of examinees such as age, text message amount, and a hand that using for text messages were investigated through interviews. Since text input methods vary depending on mobile phone types, unfamiliar methods of typing mobile phone characters can affect the speed of texting. As a result, there were significant differences in hand dexterity between age and gender. The rate of texting and hand dexterity were statistically significantly faster than those in their 20s and 30s (p<0.05), and in gender, women showed significantly faster texting and hand dexterity than men (p<0.05). However, it was not statistically significant to text usage and to the dexterity of the hand.

• The KIPS Transactions:PartC
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• v.17C no.1
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• pp.27-36
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• 2010

In Web registration pages and online polling applications, CAPTCHA(Completely Automated Public Turing Test To Tell Computers and Human Apart) is used for distinguishing human users from automated programs. Text-based CAPTCHAs have been widely used in many popular Web sites in which distorted text is used. However, because the advanced optical character recognition techniques can recognize the distorted texts, the reliability becomes low. Image-based CAPTCHAs have been proposed to improve the reliability of the text-based CAPTCHAs. However, these systems also are known as having some drawbacks. First, some image-based CAPTCHA systems with small number of image files in their image dictionary is not so reliable since attacker can recognize images by repeated executions of machine learning programs. Second, users may feel uncomfortable since they have to try CAPTCHA tests repeatedly when they fail to input a correct keyword. Third, some image-base CAPTCHAs require high communication cost since they should send several image files for one CAPTCHA. To solve these problems of image-based CAPTCHA, this paper proposes a new CAPTCHA based on both image and text. In this system, an image and keywords are integrated into one CAPTCHA image to give user a hint for the answer keyword. The proposed CAPTCHA can help users to input easily the answer keyword with the hint in the fused image. Also, the proposed system can reduce the communication costs since it uses only a fused image file for one CAPTCHA. To improve the reliability of the image-text fusion CAPTCHA, we also propose a dynamic building method of large image dictionary from gathering huge amount of images from theinternet with filtering phase for preserving the correctness of CAPTCHA images. In this paper, we proved that the proposed image-text fusion CAPTCHA provides users more convenience and high reliability than the image-based CAPTCHA through experiments.

• Journal of the Korean Society for information Management
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• v.6 no.1
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• pp.93-117
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• 1989

The objective of this study is to design an automatic abstracting system through the analysis of natural language texts. For this purpose a knowledge-based system operating on the basis of domain knowledge was developed. The procedure of generating an abstract consists of three steps: (1) A knowledge-base containing domain knowledge necessary to understand a text is constructed using frame and semantic network structures,and preliminary abstracts are prepared for various cases. (2) Input text is analysed on the basis of domain knowledge in order to extract information filling slots of the abstract with. (3) A Preliminary abstract corresponding to the input text is called and filled with the information, completing the abstract.