• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.6
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• pp.469-481
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• 2018

DL (Deep Learning) is getting popular in various fields to implement artificial intelligence that resembles human learning and cognition. DL based on complicate structure of the ANN (Artificial Neural Network) requires computing power and computation cost. Variety of DL models with improved performance have been developed with powerful computer specification. The main purpose of this paper is to detect buildings from aerial images and evaluate performance of Mask R-CNN (Region-based Convolutional Neural Network) developed by FAIR (Facebook AI Research) team recently. Mask R-CNN is a R-CNN that is evaluated to be one of the best ANN models in terms of performance for semantic segmentation with pixel-level accuracy. The performance of the DL models is determined by training ability as well as architecture of the ANN. In this paper, we characteristics of the Mask R-CNN with various types of the images and evaluate possibility of the generalization which is the ultimate goal of the DL. As for future study, it is expected that reliability and generalization of DL will be improved by using a variety of spatial information data for training of the DL models.

• Therapeutic Science for Rehabilitation
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• v.12 no.2
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• pp.69-83
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• 2023

Objective : This study, as a preliminary study, applied an Information & Communication Technology (ICT) home-based program to elderly people aged 65 years or older to confirm the effect of the cognitive enhancement program and to find the possibility of remote rehabilitation. Methods : This study from August to October 2022, three subjects were selected and the intervention was conducted for about 2 months. This intervention was conducted using Korean version of Mini-Mental State Examination, Korean version of Montreal Cognitive Assessment (MoCA-K), Computer Cognitive Senior Assessment System, and the Center for Epidemiologic Studies Depression scale to evaluate cognitive improvement before and after the program. The therapist remotely set the level of cognitive training according to the subject's level through weekly feedback. Results : After the intervention, all subjects showed improved scores in most items of the MoCA-K conducted before and after the intervention. In addition, among the items of Cotras-pro, upper cognition, language ability, attention, visual perception, and memory were improved. Conclusion : Cognitive rehabilitation training using an ICT home-based program not only prevented dementia but also made it habitual. Through this study, it was confirmed that remote rehabilitation for the elderly could be possible.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.967-971
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• 2023

Recently, a variety of AI-based platform services are available, and one of them is ChatGPT that processes a large quantity of data in the natural language and generates an answer after self-learning. ChatGPT can perform various tasks including software programming in the IT sector. Particularly, it may help generate a simple program and correct errors using C Language, which is a major programming language. Accordingly, it is expected that ChatGPT is capable of effectively using Verilog HDL, which is a hardware language created in C Language. Verilog HDL synthesis, however, is to generate imperative sentences in a logical circuit form and thus it needs to be verified whether the products are executed properly. In this paper, we aim to select small-scale logical circuits for ease of experimentation and to verify the results of circuits generated by ChatGPT and human-designed circuits. As to experimental environments, Xilinx ISE 14.7 was used for module modeling, and the xc3s1000 FPGA chip was used for module embodiment. Comparative analysis was performed on the use area and processing time of FPGA to compare the performance of ChatGPT products and Verilog HDL products.

• Journal of Gifted/Talented Education
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• v.11 no.2
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• pp.127-150
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• 2001

The upcoming century is a knowledge based society which did not exist before which requires creative ability to solve problems. Therefore, it is necessary to Provide a creative program of problem solution in order to match this global trend The creativity of problem solution means the ability to solve a problem using previous ideas in an advanced way or develop new ideas. Creative education is especially important for infants. Because the young mind is where fresh ideas preside and can frame-work the early stage of life like a blank sheet of paper. The Infant-Early Child Creative Development Institute. as an adhesive institute at Yeungjin College, develops various programs that integrate methods which match current trend in this era and also start the Creative Promotion Test with 2,000 Families for the expansion of creative education from the baseline as an alternative method. The infants tested in the creative test will find ways of problem solution through animation beam projects for their given situation and also discuss the problems with their family members. Through these processes the infant and family members will complete the creative structures to solve the problems using limited materials given by the institute, and the final product will be evaluated as objective results. The final evaluation of the test will also be considered the teamwork of family cooperation and the attitudes of participants as well as the product of problem solution. The criterion of the evaluation is to be considered both a creative way of thinking and creative attitudes. Because the score counts were conducted manually it delayed the selection of awarded students who took the test. Also, we found that some parents have difficulty in accessing information to find the score through homepage from the computer. this Problem might be corrected in the future plan. Like Freud's saying, if human character and exploring attitudes during the early stage of a child, a person's creativity is composed their infant period as their basic foundation. Therefore, the family wh first environment the infant encounters will be treated as a prima when making basic structure. From this viewpoint, this creative test work as a festival of creativity fare with 2,000 families.

• Reproductive and Developmental Biology
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• v.31 no.3
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• pp.139-143
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• 2007

This study was performed to investigate the reproductive characteristics of the cloned Hanwoo bulls produced by SCNT. The semen ejaculated from the cloned bulls (C-38 and C-39) and normal Hanwoo bull was properly measured the volume, the number of sperm, and the viability of frozen-thawed sperm. The sperm activity was analyzed using computer assisted sperm analysis (CASA). To analyze fertilizing ability of the cloned bulls, in vitro fertilization and artificial insemination were performed using the frozen-thawed semen. There were no differences in semen volume, sperm concentration, and the viability of frozen-thawed sperm between cloned bulls and normal bull. The difference was statistically significant in total motility, curvilinear velocity (VCL), straight-line velocity (VSL), and average-path velocity (VAP) of both cloned bulls compared to those of normal Hanwoo bull, respectively (p<0.05). The cleavage and blastocyst development rate were not different between the groups. five cloned cows were artificially inseminated using the frozen-thawed semen of C-38, two of them became pregnant. Two second generation calves (one male and one female) were produced. Based on these results, the cloned Hanwoo bulls showed normal reproductive abilities of semen parameters and sperm activity to their comparators and produced cloned calves, although there are some individual differences on the parameters.

• Journal of the Korean Society of School Health
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• v.14 no.1
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• pp.115-130
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• 2001

Dieting behaviors prevail among most women and are highly increasing among female adolescents who don't have to lose weight. The dieting behaviors of normal or low weight groups are highly related to the negative impact of health risk behaviors. We need a strategy for intervening in the dieting behaviors of relevant groups. With this background, a study was conducted to examine the current situation of dieting behaviors and related factors in middle school girls, and to provide guidelines for the relevant dieting group. This survey was carried out by self-questionnaires passed out to 901 middle school girls from 3 middle schools in Seoul. Data were collected from April 10th, 2000 to April 17th, 2000 and 794 respondents' data were finally selected for analysis. The instruments of this study were Shin's scale for effects of mass-media, Birleson's depression self-rating scale translated by shim, Rosenberg's self-esteem scale, Smilkstein's Family APGAR score translated by Yoon, Kim's school-related adjustment scale. The credibility of instruments was 0.41~0.83 in the pilot study and 0.70~0.86 in the main study. The summary of results was as follows: 1. The general characteristics of respondents were analyzed. In comparison of grade and dieting behaviors, the subjects of the group perceived that their body image was obeser than their real body image and their ideal body image was slenderer than their current body image. A dieter's body image was seriously distorted. 2. The dieting behaviors were analyzed. The Subjects' BMI was within the normal to low range -- they didn't have to lose weight. But actually 47.3% of the respondents were dieters. Their main dieting methods were exercise(71.8%), computer games(64.9%) such as DDR and pump, and intake reduction(64.1%). Most dieters were using desirable methods such as exercise and intake control. But unhealthy methods such as saunax, smoking and harmful drug-use were also used by a few dieters. The main reason for dieting was attractiveness. The chief resources of dieting methods were mass-media(67.8%), friends(64.3%), and parents & relatives(35.1%). Only a few subjects obtained the information from health professionals. While they were trying to lose weight, 42.1% of the subjects experienced side effects such as dizziness(45.0%), apathy(20.5%), appetite loss(18.5%), amenorrhea and the irregularity of the menstrual cycle(16.6%). 3. The relationship between dieting behaviors and factors was analyzed. Dieting behaviors were significantly related to the experience of menarche, the experience of dating with heterosexuals, perceived body image, self-esteem, depression, family's relationship, school instruction-related adjustment, school life-related adjustment, and the effect of mass-media. After that, the multiple logistic regression was used. The analysis revealed that dating, perceived body image, the experience of menarche and the effect of mass media were significant factors. In conclusion, strategies for preventing irrelevant dieting behaviors are urgently required to enhance female adolescents' ability to choose the right information from countless others and to recognize their optimum body image.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1062-1062
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• 2001

The concept of “precision agriculture” or “site-specific farming” is usually confined to the fields of soil science, crop science and agronomy. However, because plants grow in soil, animals eat plants, and humans eat animal products, it could be argued (perhaps with some poetic licence) that the fields of feed quality, animal nutrition and animal production should also be considered in this context. NIR spectroscopy has proved over the last 20 years that it can provide a firm foundation for quality measurement across all of these fields, and with the continuing developments in instrumentation, computer capacity and software, is now a major cog in the wheel of precision agriculture. There have been a few giant leaps and a lot of small steps in the impact of NIR on the animal world. These have not been confined to the amazing advances in hardware and software, although would not have occurred without them. Rapid testing of forages, grains and mixed feeds by NIR for nutritional value to livestock is now commonplace in commercial laboratories world-wide. This would never have been possible without the pioneering work done by the USDA NIR Forage Research Network in the 1980's, following the landmark paper of Norris et al. in 1976. The advent of calibration transfer between instruments, algorithms which utilize huge databases for calibration and prediction, and the ability to directly scan whole grains and fresh forages can also be considered as major steps, if not leaps. More adventurous NIR applications have emerged in animal nutrition, with emphasis on estimating the functional properties of feeds, such as in vivo digestibility, voluntary intake, protein degradability and in vitro assays to simulate starch digestion. The potential to monitor the diets of grazing animals by using faecal NIR spectra is also now being realized. NIR measurements on animal carcasses and even live animals have also been attempted, with varying degrees of success, The use of discriminant analysis in these fields is proving a useful tool. The latest giant leap is likely to be the advent of relatively low-cost, portable and ultra-fast diode array NIR instruments, which can be used “on-site” and also be fitted to forage or grain harvesters. The fodder and livestock industries are no longer satisfied with what we once thought was revolutionary: a 2-3 day laboratory turnaround for fred quality testing. This means that the instrument needs to be taken to the samples rather than vice versa. Considerable research is underway in this area, but the challenge of calibration transfer and maintenance of instrument networks of this type remains. The animal world is currently facing its biggest challenges ever; animal welfare, alleged effects of animal products on human health, environmental and economic issues are difficult enough, but the current calamities of BSE and foot and mouth disease are “the last straw” NIR will not of course solve all these problems, but is already proving useful in some of these areas and will continue to do so.

• Journal of Korean Elementary Science Education
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• v.21 no.2
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• pp.263-288
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• 2002

'Science Garden' is a science program that develops acquirements of science & technology at an early stage through experiential study and inspire the spirit of scientific inquiry by carrying out laboratory work, science movie, science lecture, scientific work, outdoor activities, computer classes and science experiment which is hard to do through the regular educational course. It is targeted grade 4,5,6 students during summer and winter vacation. 'Science Garden' is conducted by selective participation freely. It is a wholelistic activity that develops children's potential talents or creativities, improves interest and attitude toward science, and also gives opportunity for self-realization by extending capacity for inquiry to show each student's ability. This study is observed and is compared how it is conducted in elementary school using qualitative study. This study is used narrative observation, in-depth interview and document analysis. Objects of narrative observation are two elementary schools, each from Jellabukdo and Gyeonggido, and 7 teachers were interviewed in-depthly. Here are results of the study. 1 A teacher in school G never takes part in student activities, tends to be indifferent to classes, but focuses on observation and experiment in laboratory. And feedback or evaluation about student's activity is never done. On the other hand, a teacher in school S guides students to understand the principals of science on themselves, and wide variety forms of activities such as role playing, discussion, and games are being done. But an effort to evaluate student's activity is not being made properly. 2. Teachers set a high valuation on the need of 'Science Garden'. Observing the way of conducting 'Science Garden', usually teachers who is in charge of science for official work is selected as a teacher in charge, and groan under a heavy burden of conducting it without anyone's help. Participating students are selected by volunteering or teacher's recommendation, but because of low Participation rate, teachers have difficulty in conducting it. Plan for conducting ‘science Garden’ is made 20 days before it, after getting an official document from Office of Education, refering to booklets produced by National Jungang Science Institute, or data from Office of Education, and internet. Teachers evaluate rarely Most school principals have interest in 'Science Garden' but parents are not well aware of it, The budget is made at the same time with the plan, and scale is varied between 200,000∼500,000 won. Because of the improper way of selecting teacher in charge, difficulty in selecting students, heavy works caused by planning, conducting the program, as well as reporting teacher's work, and lack of parents' awareness, 'Science Garden' has been conducted formally and superficially. Next gives you direction to change, for the right way of conducting' Science Garden'. It is important to motivate competent teachers to instruct students actively. For students' active participation, They should publicize thoroughly beforehand, and develope 'Science Garden' program for teachers to be able to make better use of it. Evaluation of student activities and program should be done in the aspect of developing students’ faculties. Beside of school facilities, they need to put diverse local facilities and places to practical use for immediate natural experience. And not only separate schools but also associated form of schools to conduct it is necessary.

• Journal of Korea Water Resources Association
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• v.40 no.6 s.179
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• pp.459-468
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• 2007

To estimate the groundwater recharge, the fully distributed parameter based model, MIKE SHE was applied to the Gyeongan-cheon watershed which is one of the tributaries of Han River Basin, and covers approximately $260km^2$ with about 49 km main stream length. To set up the model, spatial data such as topography, land use, soil, and meteorological data were compiled, and grid size of 200m was applied considering computer ability and reliability of the results. The model was calibrated and validated using a split sample procedure against 4-year daily stream flows at the outlet of the watershed. Statistical criteria for the calibration and validation results indicated a good agreement between the simulated and observed stream flows. The annual recharges calculated from the model were compared with the values from the conventional groundwater recession curve method, and the simulated groundwater levels were compared with the observed values. As a result, it was concluded that the model could reasonably simulate the groundwater level and recharge, and could be a useful tool for estimating spatially/temporally the groundwater recharges, and enhancing the analysis of the watershed water cycle.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.15-23
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• 2017

The person Re-identification is the most challenging part of computer vision due to the significant changes in human pose and background clutter with occlusions. The picture from non-overlapping cameras enhance the difficulty to distinguish some person from the other. To reach a better performance match, most methods use feature selection and distance metrics separately to get discriminative representations and proper distance to describe the similarity between person and kind of ignoring some significant features. This situation has encouraged us to consider a novel method to deal with this problem. In this paper, we proposed an enhanced recurrent neural network with three-tier hierarchical network for person re-identification. Specifically, the proposed recurrent neural network (RNN) model contain an iterative expectation maximum (EM) algorithm and three-tier Hierarchical network to jointly learn both the discriminative features and metrics distance. The iterative EM algorithm can fully use of the feature extraction ability of convolutional neural network (CNN) which is in series before the RNN. By unsupervised learning, the EM framework can change the labels of the patches and train larger datasets. Through the three-tier hierarchical network, the convolutional neural network, recurrent network and pooling layer can jointly be a feature extractor to better train the network. The experimental result shows that comparing with other researchers' approaches in this field, this method also can get a competitive accuracy. The influence of different component of this method will be analyzed and evaluated in the future research.