• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.147-149
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• 2004

Although most of the people have studied English for a long time, their English conversation capability is low. When we provide them portable conversational-type English learners by the application of computer and information process technology, such portable learners can be used to enhance their English conversation capability by their conventional conversation exercises. The core technology to develop such learner is the development of a voice recognition and synthesis module under an embedded environment. This paper deals with voice recognition and synthesis, prototype of the learner module using a DSP(Digital Signal Processing) chip for voice processing, voice playback function, flash memory file system, PC download function using USB ports, English conversation text function by the use of SMC(Smart Media Card) flash memory, LCD display function, MP3 music listening function, etc. Application areas of the prototype equipped with such various functions are vast, i.e. portable language learners, amusement devices, kids toy, control by voice, security by the use of voice, etc.

• IEMEK Journal of Embedded Systems and Applications
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• v.6 no.4
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• pp.201-207
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• 2011

This paper introduces a novel concept of 'Emotional Communication' for future smart phone. While traditional information based communication technologies focus on how to precisely transmit the content of message, emotional communication is intended to support and augment social relationship among people and to comfort the user to be happy. In this paper, we propose future communication services and core technologies which can estimate emotional desire of users and respond to the desire to be happy with connectedness and consolation from peoples. Firstly, we introduce emotion recognition techniques to estimate emotional desire of users. At second, the emotional responding services are categorized to four parts and the details are shown. Lastly we propose the process to implement emotional communication system and the main techniques to fulfill the system requirements for future smart-phone services.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.818-821
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• 2020

The artificial intelligence software market is developing in various fields world widely. In particular, there is a wide variety of applications for image recognition technology using deep learning. This study intends to apply image recognition technology to the 'Home Gardening' market growing rapidly due to COVID-19, and aims to build a small-scale smart farm in the house using artificial intelligence and IoT technology for convenient crop cultivation for busy people living in cities. This intelligent farm system includes an automatic image recognition function and recommendation function based on temperature and humidity sensor-based indoor environment analysis.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.4
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• pp.806-816
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• 2009

Character recognition system consists of four step; text localization, text segmentation, character segmentation, and recognition. The character segmentation is very important and difficult because of noise, illumination, and so on. For high recognition rates of the system, it is necessary to take good performance of character segmentation algorithm. Many algorithms for character segmentation have been developed up to now, and many people have been recently making researches in segmentation of touching or overlapping character. Most of algorithms cannot apply to the text regions of management number marked on the slab in steel image, because the text regions are irregular such as touching character by strong illumination and by trouble of nozzle in marking machine, and loss of character. It is difficult to gain high success rate in various cases. This paper describes a new algorithm of character segmentation to recognize slab management number marked on the slab in the steel image. It is very important that pre-processing step is to convert gray image to binary image without loss of character and touching character. In this binary image, non-touching characters are simply separated by using vertical projection profile. For separating touching characters, after we use combined profile to find candidate points of boundary, decide real character boundary by using method based on recognition. In recognition step, we remove noise of character images, then recognize respective character images. In this paper, the proposed algorithm is effective for character segmentation and recognition of various text regions on the slab in steel image.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2974-2984
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• 2009

This study was scale for subjective health-recognition related general factor, health habits and management, cancer recognition and provision. Methods : The subjects were elderly who voluntarily participated in the survey. Results : The Health recognition people 50.7% answered 'Normal'. The health condition should have obstructed a daily life, said that cognition cannot be good health recognition. The health control method was bad or normal group manages with the medical supply (foodstuffs inclusion) then again, the recognition good group was answered that did not tobacco and drink alcohol or prohibit do it. For ten years from now the health recognition about cancer occurrence possibility that the health recognition good group was rare possibility 42.7%, bad group was 52.0% and normal group was 47.6%. Conclusions : In health promotion priorities of elderly differed by gender and subjective health status. The regular exercise and health-related habit do as a favor the possibility of living is healthy.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.4 s.152
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• pp.623-632
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• 2006

This study discusses the traditional costume of Korea and Japan and cognitive factors affecting its recognition by conducting a survey on both Korean and Japanese students so that comparative analysis of the differences about whether to rent or own traditional costume and about whether the students surveyed have visited the other country reciprocally, can be made to set the future course of the traditional costume which have gradually been worn less frequently and favored by less people. College students of Japan and Korea were chosen for this study and asked to fill in a questionnaire. 491 respondents were analyzed using SPSS10.0 for frequency analysis, factors analysis and t-test. Findings of this study are as follows: Firstly, there were 7 factors affecting the Korean student's recognition of Hanbok while 6 factors involved in Japanese student's recognition of Kimono. Korean students thought highly of the traditional costume and yet had less knowledge of it compared to the Japanese students. Secondly, analysis of the student's recognition of their counterpart's traditional costume showed that there were equally 4 factors affecting the student's recognition. Students found the traditional costume difficult to wear and uncomfortable when worn. Japanese students regarded Hanbok as an abstract form of the traditional Korean culture while Korean students viewed Kimono as a realistic form of something concrete. Thirdly, analysis of the differences about the recognition based on the student's owning or renting the traditional costume. or visiting the counterpart's country, showed that students owning the traditional costume were more positive about the traditional costume and well versed in it. And students having visited their counterpart's country thought more favorably of the traditional costume of their counterpart.

• Journal of the Institute of Convergence Signal Processing
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• v.1 no.1
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• pp.64-73
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• 2000

The Korean character recognition technology for user interface in multimedia terminal requires fast processing time and high recognition rate. In this paper, we propose an phoneme and character recognition technology which uses characteristic information of korean and features of input strokes, i.e, feature point, feature vector, virtual vector, position relation between strokes. And, a recognition both phoneme and character by the various writing types of users uses korean database. The Korean database has been constructed by the characteristic information of korean and phoneme models which have various stroke information. Also, we use successive processing by the position relation between strokes and backtracking processing by the modification processing of stroke numbers which composed of each phoneme. This method reduces the complex processing of phoneme separation. The proposed on-line korean character recognition system has obtained 13msec average character processing time and correct recognition rate more than $95{\%}$ In a recognition experiment, where we tested 600 characters written by 10 people among 1,200 words.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.53-59
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• 2008

Recently, vision-based hand gesture recognition techniques have been developed for assisting elderly and disabled people to control home appliances. Frequently occurred problems which lower the hand gesture recognition rate are due to the inter-person variation and intra-person variation. The recognition difficulty caused by inter-person variation can be handled by using user dependent model and model selection technique. And the recognition difficulty caused by intra-person variation can be handled by using fuzzy logic. In this paper, we propose multivariate fuzzy decision tree learning and classification method for a hand motion recognition system for multiple users. When a user starts to use the system, the most appropriate recognition model is selected and used for the user.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1807-1822
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• 2023

Innovation and rapid increased functionality in user friendly smartphones has encouraged shutterbugs to have picturesque image macros while in work environment or during travel. Formal signboards are placed with marketing objectives and are enriched with text for attracting people. Extracting and recognition of the text from natural images is an emerging research issue and needs consideration. When compared to conventional optical character recognition (OCR), the complex background, implicit noise, lighting, and orientation of these scenic text photos make this problem more difficult. Arabic language text scene extraction and recognition adds a number of complications and difficulties. The method described in this paper uses a two-phase methodology to extract Arabic text and word boundaries awareness from scenic images with varying text orientations. The first stage uses a convolution autoencoder, and the second uses Arabic Character Segmentation (ACS), which is followed by traditional two-layer neural networks for recognition. This study presents the way that how can an Arabic training and synthetic dataset be created for exemplify the superimposed text in different scene images. For this purpose a dataset of size 10K of cropped images has been created in the detection phase wherein Arabic text was found and 127k Arabic character dataset for the recognition phase. The phase-1 labels were generated from an Arabic corpus of quotes and sentences, which consists of 15kquotes and sentences. This study ensures that Arabic Word Awareness Region Detection (AWARD) approach with high flexibility in identifying complex Arabic text scene images, such as texts that are arbitrarily oriented, curved, or deformed, is used to detect these texts. Our research after experimentations shows that the system has a 91.8% word segmentation accuracy and a 94.2% character recognition accuracy. We believe in the future that the researchers will excel in the field of image processing while treating text images to improve or reduce noise by processing scene images in any language by enhancing the functionality of VGG-16 based model using Neural Networks.

• The Korean Journal of Health Service Management
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• v.10 no.3
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• pp.123-133
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• 2016

Objectives : This study analyzed the effect of health-related characteristics of middle-aged and elderly people on the number of existing permanent teeth by considering each age group through the improvement of health-related characteristics. This study contributes by offering fundamental information on the prevention of dental diseases and on developing an education program that can be used by dental health businesses to improve dental health. Methods : This study used primitive data of the sixth term of the first year and the second year and selected a total of 4,393 people as the final research subject. In order to determine the factors that influence the number of existing natural teeth, confounding factors were considered, and regression analysis using general linear models was done. Results : According to the results of this research, the middle-aged and elderly groups have more existing permanent teeth in the following three cases: 1. Talking is comfortable when daily brushing frequency is 3 times or more. 2. Self-recognition of dental health condition is good. 3. Number of dental caries present in permanent teeth is low. Conclusions : For a and medical system, a dental health care system that takes into consideration the lifespans of people must be legislated and implemented.