• Journal of Korean Ophthalmic Optics Society
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• v.20 no.2
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• pp.93-104
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• 2015

Purpose: This study aimed to analyze the research trends of Ophthalmic Optic by targeting the papers published in the Journal of Korean Ophthalmic Optics Society and serve it as a basis for future researches. Methods: This study was conducted through a statistical analysis of the general characteristics, researcher characteristics, research characteristics and the research trends from total 990 papers, from the first issue to the last issue in 2014, published in the Journal of Korean Ophthalmic Optics Society. Results: Most common number of the authors of the published papers were two or three, respectively 26.8%. Most of the lead authors belong to the schools in Jeolla-do province (31.3%). Most of the educational system of which lead authors belong to is four-year-course system (43.0%). Most common research methods were optometric tests (40.9%). The most common subjects of researches are about the field of optometry (29.8%). The study shows that there were significant differences in the research methods depending on the school systems of the universities to which the lead authors belong (p=0.000). There also were significant differences in the school systems of the universities to which the lead authors belong, and research methods depending on the research subjects (p=0.000). There were meaningful differences according to the period divisions (1996 to 2004 and 2005 to 2014), i.e. the number of authors has been growing, and it is the same case for the number of the authors who belong to four-year-course universities (p=0.000). The number of papers on optometry and contact lenses have increase. The benefits of the research funds have also increased (p<0.005). In addition, the number of the lead authors in the Seoul and Chungcheong province have increased (p=0.000). Conclusions: For the development of the Ophthalmic Optics, it is necessary to broaden the stratum of researchers and deal with various research topics, And joint efforts between eyewear industry and academia and international cooperations are needed.

• Progress in Medical Physics
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• v.17 no.1
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• pp.24-31
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• 2006

Automated analysis software was developed to measure the magnitude of the intrafractional and interfractional errors during breast radiation treatments. Error analysis results are important for determining suitable planning target volumes (PTV) prior to Implementing breast-conserving 3-D conformal radiation treatment (CRT). The electrical portal imaging device (EPID) used for this study was a Portal Vision LC250 liquid-filled ionization detector (fast frame-averaging mode, 1.4 frames per second, 256X256 pixels). Twelve patients were imaged for a minimum of 7 treatment days. During each treatment day, an average of 8 to 9 images per field were acquired (dose rate of 400 MU/minute). We developed automated image analysis software to quantitatively analyze 2,931 images (encompassing 720 measurements). Standard deviations ($\sigma$) of intrafractional (breathing motion) and intefractional (setup uncertainty) errors were calculated. The PTV margin to include the clinical target volume (CTV) with 95% confidence level was calculated as $2\;(1.96\;{\sigma})$. To compensate for intra-fractional error (mainly due to breathing motion) the required PTV margin ranged from 2 mm to 4 mm. However, PTV margins compensating for intefractional error ranged from 7 mm to 31 mm. The total average error observed for 12 patients was 17 mm. The intefractional setup error ranged from 2 to 15 times larger than intrafractional errors associated with breathing motion. Prior to 3-D conformal radiation treatment or IMRT breast treatment, the magnitude of setup errors must be measured and properly incorporated into the PTV. To reduce large PTVs for breast IMRT or 3-D CRT, an image-guided system would be extremely valuable, if not required. EPID systems should incorporate automated analysis software as described in this report to process and take advantage of the large numbers of EPID images available for error analysis which will help Individual clinics arrive at an appropriate PTV for their practice. Such systems can also provide valuable patient monitoring information with minimal effort.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.83-98
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• 2015

Many TV viewers use mainly portal sites in order to retrieve information related to broadcast while watching TV. However retrieving information that people wanted needs a lot of time to retrieve the information because current internet presents too much information which is not required. Consequentially, this process can't satisfy users who want to consume information immediately. Interactive video is being actively investigated to solve this problem. An interactive video provides clickable objects, areas or hotspots to interact with users. When users click object on the interactive video, they can see additional information, related to video, instantly. The following shows the three basic procedures to make an interactive video using interactive video authoring tool: (1) Create an augmented object; (2) Set an object's area and time to be displayed on the video; (3) Set an interactive action which is related to pages or hyperlink; However users who use existing authoring tools such as Popcorn Maker and Zentrick spend a lot of time in step (2). If users use wireWAX then they can save sufficient time to set object's location and time to be displayed because wireWAX uses vision based annotation method. But they need to wait for time to detect and track object. Therefore, it is required to reduce the process time in step (2) using benefits of manual annotation method and vision-based annotation method effectively. This paper proposes a novel annotation method allows annotator to easily annotate based on face area. For proposing new annotation method, this paper presents two steps: pre-processing step and annotation step. The pre-processing is necessary because system detects shots for users who want to find contents of video easily. Pre-processing step is as follow: 1) Extract shots using color histogram based shot boundary detection method from frames of video; 2) Make shot clusters using similarities of shots and aligns as shot sequences; and 3) Detect and track faces from all shots of shot sequence metadata and save into the shot sequence metadata with each shot. After pre-processing, user can annotates object as follow: 1) Annotator selects a shot sequence, and then selects keyframe of shot in the shot sequence; 2) Annotator annotates objects on the relative position of the actor's face on the selected keyframe. Then same objects will be annotated automatically until the end of shot sequence which has detected face area; and 3) User assigns additional information to the annotated object. In addition, this paper designs the feedback model in order to compensate the defects which are wrong aligned shots, wrong detected faces problem and inaccurate location problem might occur after object annotation. Furthermore, users can use interpolation method to interpolate position of objects which is deleted by feedback. After feedback user can save annotated object data to the interactive object metadata. Finally, this paper shows interactive video authoring system implemented for verifying performance of proposed annotation method which uses presented models. In the experiment presents analysis of object annotation time, and user evaluation. First, result of object annotation average time shows our proposed tool is 2 times faster than existing authoring tools for object annotation. Sometimes, annotation time of proposed tool took longer than existing authoring tools, because wrong shots are detected in the pre-processing. The usefulness and convenience of the system were measured through the user evaluation which was aimed at users who have experienced in interactive video authoring system. Recruited 19 experts evaluates of 11 questions which is out of CSUQ(Computer System Usability Questionnaire). CSUQ is designed by IBM for evaluating system. Through the user evaluation, showed that proposed tool is useful for authoring interactive video than about 10% of the other interactive video authoring systems.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.265-274
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• 2014

We sought to derive an overall strategy for green business certification of medical institutions and to propose the improvement directions for green management evaluation systems through applying the criteria to medical institutions. A self-assessment survey was conducted at 44 targeted hospitals across the country, and the 2012 green management evaluation criteria for healthcare services were used as assessment tools. As a result, only 11 of the 44 hospitals were eligible for green business certification. By type, hospitals with more than 400 beds, hospitals in Seoul and the Gyeonggi area (${\geq}$ 400 beds) and private hospitals (${\geq}$ 400 beds) received relatively high scores. In an analysis of the mean score, only the difference between the hospitals with ${\geq}$ 400 beds and < 400 beds was statistically significant. When we analyzed the interviews of the hospitals with lower scores, it is important to change the awareness of executives and employees, to establish vision/strategy/objective, to promote relatively small-scale activities, and to establish long-term plans. To improve green management evaluation systems, it is necessary to reset the assessment area, to control scoring and weights, to create certification grades, and to adjust additional points.

• Journal of the Korea Computer Graphics Society
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• v.16 no.1
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• pp.1-7
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• 2010

With the widespread use of vision-based surveillance systems, the capability for person identification is now an essential component. However, the CCTV cameras used in surveillance systems tend to produce relatively low-resolution images, making it difficult to use face recognition techniques for person identification. Therefore, an algorithm is proposed for person identification in CCTV camera images based on the clothing. Whenever a person is authenticated at the main entrance of a building, the clothing feature of that person is extracted and added to the database. Using a given image, the clothing area is detected using background subtraction and skin color detection techniques. The clothing feature vector is then composed of textural and color features of the clothing region, where the textural feature is extracted based on a local edge histogram, while the color feature is extracted using octree-based quantization of a color map. When given a query image, the person can then be identified by finding the most similar clothing feature from the database, where the Euclidean distance is used as the similarity measure. Experimental results show an 80% success rate for person identification with the proposed algorithm, and only a 43% success rate when using face recognition.

• Information Systems Review
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• v.8 no.2
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• pp.155-172
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• 2006

The importance and meaning of smell/taste information on online shopping are studied. The first hypothesis deals with this issue directly. We measure the perceived quality and purchase intention at the context of online shopping with/without smell and taste information. As expected, subjects show higher perceived quality/stronger purchase intention of a bar soap and vitamin C product when smell and taste information are provided. Following Peck and Childers(2003), the moderating effects of Need for Smell and Need for Taste are tested at the second hypothesis. Subjects with High in Need for Smell/Touch show stronger responses in terms of perceived quality and purchase intention. The level of trust about the online shopping mall provides interesting results. When the trust level of the online shopping mall is low, the smell/taste information play more important roles in improving the perceived quality and purchase intention. Subjects at the not-so-trusted shopping mall context result in higher perceived quality and purchase intention if perceptual information is provided. One of the theoretical contributions of this study includes the identification of critical information in online purchase decision making-smell and taste. On top of vision and hearing information, smell and taste information also can play critical roles when consumers do online shopping even at the shopping malls of low trust. In addition, managerial implications are provided.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.3
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• pp.271-278
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• 2014

In spite of that stop line and crosswalk should be aware of the most basic objects in transportation system, its features extracted are very limited. In addition to image-based recognition technology, laser and RF, GPS/INS recognition technology, it is difficult to recognize. For this reason, the limited research in this area has been done. In this paper, the algorithm to recognize the stop line and crosswalk is designed and implemented using image-based recognition technology with the images input through a vision sensor. This algorithm consists of three functions.; One is to select the area, in advance, needed for feature extraction in order to speed up the data processing, 'Region of Interest', another is to process the images only that white color is detected more than a certain proportion in order to remove the unnecessary operation, 'Color Pattern Inspection', the other is 'Feature Extraction and Recognition', which is to extract the edge features and compare this to the previously-modeled one to identify the stop line and crosswalk. For this, especially by using case based feature comparison algorithm, it can identify either both stop line and crosswalk exist or just one exists. Also the proposed algorithm is to develop existing researches by comparing and analysing effect of in-vehicle camera installation and changes in recognition rate of distance estimation and various constraints such as backlight and shadow.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.135-140
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• 2012

The mirror neuron system in the cerebrum, which are handled by visual information-based imitative learning. When we observe the observer's range of mirror neuron system, we can assume intention of performance through progress of neural activation as specific range, in include of partially hidden range. It is goal of our paper that imitative learning is applied to 3D vision-based intelligent system. We have experiment as stereo camera-based restoration about acquired 3D image our previous research Using Optical flow, unscented Kalman filter. At this point, 3D input image is sequential continuous image as including of partially hidden range. We used Hidden Markov Model to perform the intention recognition about performance as result of restoration-based hidden range. The dynamic inference function about sequential input data have compatible properties such as hand gesture recognition include of hidden range. In this paper, for proposed intention recognition, we already had a simulation about object outline and feature extraction in the previous research, we generated temporal continuous feature vector about feature extraction and when we apply to Hidden Markov Model, make a result of simulation about hand gesture classification according to intention pattern. We got the result of hand gesture classification as value of posterior probability, and proved the accuracy outstandingness through the result.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.444-450
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• 2015

The accuracy of small and low cost CCD camera is insufficient to provide data for precisely tracking unmanned aerial vehicles(UAVs). This study shows how UAV can hover on a human targeted tracking object by using CCD camera rather than imprecise GPS data. To realize this, UAVs need to recognize their attitude and position in known environment as well as unknown environment. Moreover, it is necessary for their localization to occur naturally. It is desirable for an UAV to estimate of his attitude by environment recognition for UAV hovering, as one of the best important problems. In this paper, we describe a method for the attitude of an UAV using image information of a maker on the floor. This method combines the observed position from GPS sensors and the estimated attitude from the images captured by a fixed camera to estimate an UAV. Using the a priori known path of an UAV in the world coordinates and a perspective camera model, we derive the geometric constraint equations which represent the relation between image frame coordinates for a marker on the floor and the estimated UAV's attitude. Since the equations are based on the estimated position, the measurement error may exist all the time. The proposed method utilizes the error between the observed and estimated image coordinates to localize the UAV. The Kalman filter scheme is applied for this method. its performance is verified by the image processing results and the experiment.

• Management & Information Systems Review
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• v.15
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• pp.109-145
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• 2004

Upcoming 21st century, Management circumstance for a small and medium enterprise have been rapidly changed by Knowledge management, Informationization, Hi-technology. Changing from an era of small concept to strong concept, It will be a severe innovation period and can not survive with life as the same as the past, It is the era of best which mean only the best can survive, None of the average faculty can survive. Due to rapid proceeding of innovation of Informationization, It stimulate acceleration of technology innovation, infinity competition regardless the nation boarder, result in proceeding to Informationization. A small and medium enterprise is defined as smaller size of business than big business as point of capital, employee, output. It is concept, which usually used against concept of big business. When define a small and medium enterprise, criteria to determine a small and medium enterprise is depends on country and a category of business. However, In every country, A small and medium enterprise is getting be bigger and importance factor in whole industry. A small and medium enterprise is well developed and also well balanced with a large enterprise in the developed country. All around in the world, Interest about a small and medium enterprise is becoming higher. It is actively researching into a small and medium enterprise as the mean to create new employment, new industry, as means to from integration of a all and medium enterprise,as source of high competitive power. The status quo of rapid changing into informationization have been realized at considerable level in Korea. Information society is defined as information technology is main key to determine individuals competitiveness, which can solve effectively the side effect result from industrialization. It cleary imply that information technology is the most promising and important industry in 21st century. Therefore, We should seek to foster independent a small and medium enterprise and develop them corresponding to new concept of a small and medium enterprise in 21st century. The main frame of policy should be new economic system, which can contribute establishment of a small and medium enterprise, management innovation. It also attribute a small and medium enterprise to reveal their creative. New economic paradigm in 21st will be expanded with organization, market, technology. So far, a small and medium enterprise has been acknowledge as economic weaker and the one should be protected. However, In 21st century a small and medium enterprise will be considered as active majority or a source of creative. Development of technology to produce a small quantity with variety product and acceleration of knowledge and informationization will result in comparative merits of a small and medium enterprise. Hereby, The role and relative importance of a small and medium enterprise in our economic will getting be larger and It will be developed as the main force to activate the economic. However, Only a small and medium enterprise, which overcome difficulty with active desire and effort to improve their lot can be developed as a competitive enterprise in 21st century in considering themselves to be developed as diversity, active, independent, business by an enterprise.