• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.3
• /
• pp.471-476
• /
• 2016

This paper presents our study on speech recognition performance prediction. Our initial study shows that a combination of speech quality measures effectively improves correlation with Word Error Rate (WER) compared to each speech measure alone. In this paper we demonstrate a new combination of various types of speech quality measures shows more significantly improves correlation with WER compared to the speech measure combination of our initial study. In our study, SNR, PESQ, acoustic model score, and MFCC distance are used as the speech quality measures. This paper also presents our speech database verification system for speech recognition employing the speech measures. We develop a WER prediction system using Gaussian mixture model and the speech quality measures as a feature vector. The experimental results show the proposed system is highly effective at predicting WER in a low SNR condition of speech babble and car noise environments.

• The Korean Journal of Health Service Management
• /
• v.9 no.2
• /
• pp.57-68
• /
• 2015

This study investigated factors that affect stress recognition, depression, suicidal thoughts and health-related quality of life for diabetics over 50 years of age. Five hundred one diabetics were surveyed who participated in the 4th Korea National Health and Nutrition Examination Survey 2009. The data were analyzed with multiple regression analysis and Structural Equation Model to determine the factors. The results are as follows. Men, older and lower income groups, those not involved in economic activities, smokers, and drinkers showed a lower quality of life (p<0.001). There was no correlation with moderate-intensity exercise. Stress recognition (t=-4.229, p<0.001), depression (t=-2.156, p<0.05), and suicidal thoughts (t=-3.274, p<0.001) had significant effects on the quality of life (p <0.001, $R^2=0.25$). The most important of these factors is stress. Being diagnosed as a diabetic changes the lives of patients, who come under stress from controlling their blood sugar level. Societal support should be developed to help patients cope with the challenges of diabetes.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.18 no.3
• /
• pp.61-68
• /
• 2008

In this paper, we propose a new method to assess fingerprint image quality. In the proposed method, analysis of local variance of image's gray values, local orientation, minutiae density, size and position is applied. Especially by using position information of inputted fingerprint images, partial fingerprint images are filtered and recognition performance is improved. In the experimental results, quality threshold value for improving performance can be decided by analysis of correlation between image quality and recognition rate.

• Journal of Information Technology Services
• /
• v.21 no.1
• /
• pp.21-40
• /
• 2022

Advances in information and communication technology have introduced self-service technologies (SSTs) to service companies, changing the way they serve. In addition, as SSTs are expanding for low cost and high efficiency, opportunities for technology to interact with consumers have increased. Restaurant managers have the advantage of the SSTs win-win strategy, which allows consumers to freely receive the products or services they want, but some consumers have low satisfaction of the SSTs, especially elder people and the blind. This study examines the effect of unmanned order payment technology on service quality evaluation. For this, we interviewed a total of 12 consumers in their 10s to 50s with the experiences of using unmanned order payment technology, applying the Grounded Theory Method(GTM). Through a review of the research participant interview materials, totally 84 concepts were derived and the concepts were analyzed to derive 15 subcategories and 10 upper categories. Finally, a paradigm model of the effect of unmanned order payment technology on service quality assessment was derived. It also found the importance of consumers' sense of obligation to use unmanned order payment technology, recognition of advantages (e.g., time savings), recognition of shadow labor, and recognition of whether the technology usage process is in the service quality assessment stage.

• Journal of Korea Multimedia Society
• /
• v.21 no.8
• /
• pp.888-896
• /
• 2018

In this paper, we report detection and recognition of vehicle logo from images captured from street CCTV. Image data includes both the front and rear view of the vehicles. The proposed method is a two-step process which combines image preprocessing and faster region-based convolutional neural network (R-CNN) for logo recognition. Without preprocessing, faster R-CNN accuracy is high only if the image quality is good. The proposed system is focusing on street CCTV camera where image quality is different from a front facing camera. Using perspective transformation the top view images are transformed into front view images. In this system, the detection and accuracy are much higher as compared to the existing algorithm. As a result of the experiment, on day data the detection and recognition rate is improved by 2% and night data, detection rate improved by 14%.

• Journal of Preventive Medicine and Public Health
• /
• v.41 no.5
• /
• pp.315-322
• /
• 2008

Objectives : This study was performed to explore customer royalty and the related factors. Methods : 900 households(a 1% sample) were randomly selected from the total population of K city located in Kangwon province. An interview survey was performed with using a structured questionnaire for the subjects(923 persons) who had used medical service during the year before the survey, and the survey was done September, 2002. Results : When comparing the relating factors related with customer royalty according to the sociodemographic characteristics, the older group showed a significantly higher level of recognition for service quality, service reputation, internal customers' attitudes and switching cost. The lower income group showed a higher level of recognition for service quality, service image and switching cost. The lower educated group showed a higher level of recognition for service reputation, service image and internal customers' attitudes. The higher educated group showed a higher level of recognition for perceived risk, and seeking variety. In addition, the expert group or the service and manufacturing workers group showed a higher level of recognition for service involvement. On multiple regression analysis, internal customers' attitudes, service image, service reputation, service quality, switching cost, and substitutability showed significant relations with customer loyalty. Conclusions : This study showed that customer loyalty was significantly influenced by service factors like internal customers' attitudes, service image, service reputation, and service quality, and by market factors like switching cost, and substitutability. The results of this study can be used as a baseline for developing strategies to create and keep customers with high loyalty.

• Journal of Korea Multimedia Society
• /
• v.13 no.10
• /
• pp.1494-1505
• /
• 2010

A variety of sounds take place in medium and small-sized manufactories producing many kinds of parts in a small quantity with one press. We developed the identification system for the quality of parts using HTM(Hierarchical Temporal Memory)-based sound recognition. HTM is the theory that the operation principle of human brain's neocortex is applied to computer, suggested by Jeff Hopkins. This theory memorizes temporal and spatial patterns hierarchically about the real world, which is known for its cognitive power superior to the previous recognition technologies in many cases. By applying the HTM model to the sound recognition, we developed the identification system for the quality of molding parts. In order to verify its performance we recorded the various sounds at the moment of producing parts in the real factory, constructed the HTM network of sound, and then identified the quality of parts by repeating learning and training. It reveals that this system gets an excellent and accurate results at the noisy factory.

• Bulletin of the Korean Chemical Society
• /
• v.30 no.1
• /
• pp.137-144
• /
• 2009

In this study, quantitative and pattern recognition analyses for the quality evaluation of Herba Epimedii using HPLC was developed. For quantitative analysis, five major bioactive constituents, hyperin, epimedin A, epimedin B, epimedin C, and icariin were determined. Analysis was carried out on Capcell pak $C_{18}$ column ($250{\time}4.6$ mm, 5 ${\mu}m$) with a mobile phase of mixture of acetonitrile and 0.1% formic acid, using UV detection at 270 nm. The linear behavior was observed over the investigated concentration range (2-50 ${\mu}g/mL;\;r_2\;>$ 0.99) for all analytes. The intraand inter-day precisions were lower than 4.3% (as a relative standard deviation, RSD) and accuracies between 95.1% and 104.4%. The HPLC analytical method for pattern recognition analysis was validated by repeated analysis of one reference sample. The RSD of intra- and inter-day variation of relative retention time (RRT) and relative peak area (RPA) of the 12 selected common peaks were below 0.8% and 4.7%, respectively. The developed methods were applied to analysis of twenty Herba Epimedii extract samples. Contents of hyperin, epimedin A, epimedin B, epimedin C, and icariin were calculated to be 0$\sim$0.79, 0.69$\sim$1.91, 0.93$\sim$9.58, 0.65$\sim$3.05, and 2.43$\sim$11.8 mg/g dried plant. Principal component analysis (PCA) showed that most samples were clustered together with the reference samples but several apart from the main cluster in the PC score plot, indicating differences in overall chemical composition between two clusters. The present study suggests that quantitative determination of marker compounds combined with pattern-recognition method can provide a comprehensive approach for the quality assessment of herbal medicines.

• Journal of the Institute of Convergence Signal Processing
• /
• v.1 no.1
• /
• pp.42-48
• /
• 2000

In this paper, we propose the face image recognition algorithm using skin color information, face region features such as eye, nose, and mouse, etc., and geometrical features of chin line. In the proposed algorithm, we used the intensity as well as skin color information in the HSI color coordinate which is similar to human eye system. The experimental results of proposed method shows improved extraction quality of face and provides adaptive extraction methods for the races. And also, we used chin line information as well as geometrical features of face such as eye, nose, mouse information for the improvement of face recognition quality, Experimental results shows the more improved recognition as well as extraction quality than conventional methods.

• Hwankyungkyoyuk
• /
• v.11 no.2
• /
• pp.14-25
• /
• 1998

The Quality of human living depends on the environmental quality of the region sustaining the life. The environmental deterioration of the modern society is due to mechanical environmentalism. For the better quality of the life, The changes of recognition and attitude on the environments are required. These changes of mind are also important in environmental education for teenagers. The 7th national curriculum, officially anounced December 1998, focuses on the change of attitude to environments and practical behavior in real life for “Environments”, the environmental education curriculum in middle school. Basic elements of the curriculum are cultivation of the pro-environmental thinking, multi-levelling of teaching materials and methods, and encouraging of student participating activity. Actually, the curriculum construction is composed of stepped-levelling of teaching and learning, reasonable contents volume, encouraging of student practice, and suggesting of evaluation standards of textbook writing. Three main subjects of environmental education for middle school consist of (1) man and environment, (2) recognition of environmental problem, and (3) protection activity for environment. Methodology of environmental education can include multi-disciplinary approaches, variable teaching methods, and continuing evaluation of student practice and participation attitude. Environmental education for teenagers relating to the 7th national curriculum focuses on recognition of the environmental problems and practice activity in daily life. The recognition includes considering relationship of human life to environment, solving environmental problems in regional context, and development of comprehensive understanding concept of the environments. For the practice education, variable teaching methods, such as field survey and application of multi-media, are needed.