• KIISE Transactions on Computing Practices
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• v.24 no.3
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• pp.138-144
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• 2018

A video is a vivid medium similar to human's visual-linguistic experiences, since it can inculcate a sequence of situations, actions or dialogues that can be told as a story. In this study, we propose story learning/regeneration frameworks from videos with successive event order supervision for contextual coherence. The supervision induces each episode to have a form of trajectory in the latent space, which constructs a composite representation of ordering and semantics. In this study, we incorporated the use of kids videos as a training data. Some of the advantages associated with the kids videos include omnibus style, simple/explicit storyline in short, chronological narrative order, and relatively limited number of characters and spatial environments. We build the encoder-decoder structure with successive event order embedding, and train bi-directional LSTMs as sequence models considering multi-step sequence prediction. Using a series of approximately 200 episodes of kids videos named 'Pororo the Little Penguin', we give empirical results for story regeneration tasks and SEOE. In addition, each episode shows a trajectory-like shape on the latent space of the model, which gives the geometric information for the sequence models.

• International Journal of Aeronautical and Space Sciences
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• v.10 no.1
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• pp.91-97
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• 2009

It is undertaken systematization of results of satellite and ground observation parameters characterizing a current condition and climatic variability of two selected geographical areas. One of them covers territory of Azerbaijan and another covers a wide area of Caspian See region. Average values and mean square deviations of following values are investigated: outgoing long wave radiation during a day and night (in nebulosity and cloudless). absorbed within a day of the stream of a sunlight of the system in "a terrestrial surface-atmosphere". degree of a covering by clouds of the selected areas during a day and at night, ground temperature values of air. pressure and speed of a wind. Monthly average values of corresponding parameters create a basis of suggested investigations. It has been presented features of a time course of investigated parameters for each month and year in the whole due to the continuously observations since 1982-2000. The scientific problem consists that there are no existed models which authentically would be cover the main aspects of a realities specified changes: they are identified by economic activities. growth of the population and other features of development of a human society or internal fluctuations of biogeophysical/climatic system. Possibilities of predictability of biosphere and climate changes depend on available timely supervision. adequacy of construction of appropriate models. understanding of mechanisms of direct and feedback influences in such complicated systems.

• Journal of the Korean Institute of Educational Facilities
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• v.11 no.1
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• pp.39-46
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• 2004

The objective of this study is to propose the architectural basic data for the planning of kindergarten attached to the elementary school. For this study, we selected and investigated 23kindergartens in Gwangju city. The results of this study are as follows. 1) The elementary school in separated style had the advantage of securing educational space and reducing interference with students of elementary school. But it had the problem in using the facilities of elementary school. So we have to consider the kindergarten to be located near by dinning room, multi-purpose hall. 2) Concentrating the entrance, it makes the inside and outside space use easily. For the actual use, we have to establish facilities for convenience in outer-space. 3) For each room, we suggest guides as follow. The classroom and the playroom have to be combined for flexibility and supervision. In the planning of toilet, it must have sliding door for confirm the inside situation and reasonable height partition to consider the student's body-size. The shape of teacher's room must be open-type for supervising children but protect the entry of children. There is consideration for the material room and the sleeping room for all-day-long class.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.365-380
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• 2022

The target detection algorithm based on supervised learning is the current mainstream algorithm for target detection. A high-quality dataset is the prerequisite for the target detection algorithm to obtain good detection performance. The larger the number and quality of the dataset, the stronger the generalization ability of the model, that is, the dataset determines the upper limit of the model learning. The convolutional neural network optimizes the network parameters in a strong supervision method. The error is calculated by comparing the predicted frame with the manually labeled real frame, and then the error is passed into the network for continuous optimization. Strongly supervised learning mainly relies on a large number of images as models for continuous learning, so the number and quality of images directly affect the results of learning. This paper proposes a dataset STAR-24K (meaning a dataset for Space TArget Recognition with more than 24,000 images) for detecting common targets in space. Since there is currently no publicly available dataset for space target detection, we extracted some pictures from a series of channels such as pictures and videos released by the official websites of NASA (National Aeronautics and Space Administration) and ESA (The European Space Agency) and expanded them to 24,451 pictures. We evaluate popular object detection algorithms to build a benchmark. Our STAR-24K dataset is publicly available at https://github.com/Zzz-zcy/STAR-24K.

• The Research Journal of the Costume Culture
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• v.24 no.2
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• pp.132-149
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• 2016

With the increased importance of design creativity in global fashion marketplaces, there have arisen numerous promotional strategies for new fashion designers in Korea, yet little research has been done on this subject. This study examines the new fashion design promotion policies in Korea and their effects from the designer's perspective. First, we analyzed the contents of twenty-one strategies from thirteen organizations regarding the types of support from the strategies. As a result, four distinct types are identified: new designer recognition; information and consulting support; brand incubating; and marketing support. Next, we performed in-depth one-on-one interviews with eleven designers who had been awarded from one or more of the fashion design incubation policies. The results reveal that the incubating policies' cash rewards and space support are found to be most effective. In terms of the revised fashion and brand consulting policy, "brand operation" had an influence. In addition, fashion the new brand advertisement and marketing policy had positively influenced the "brand development." However, throughout the interview, designers note that the quality of education and information provisions need some improvement. Furthermore, the designers indicate the lack of supervision and professionalism from the marketing departments. Based on this content, this study emphasizes the necessity of an effective fashion design promotion policy, and strategic and consistent support for the whole fashion promotion team. At the minimum, an integrated and united supervision by the organization is necessary and should be taken into consideration.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.619-636
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• 2017

This research presents the relationship building between the supervisor and supervisee through the supervision process in a narrative inquiry. The supervisory relationships of the supervisor A and supervisee B, and the effects they have on the relationship between the two are described in as factual terms as possible. The results imply that genuineness and openness are the core components of relationship. Especially, in the case of a highly hierarchical relationship, where it is often easy for the supervisor to employ hidden tactics, efforts on the part of the supervisor's endeavor to develop unconditional acceptance can be helpful in establishing a more open-minded attitude. As a result, the common view in the literature that attributes relationship hierarchy to cultural factors may need to be reexamined. This research provides evidence that in the case of supervision and training in counseling, establishing an environment of acceptance, trust and rapport can help advance the supervisory relationship to a less hierarchical form.

• Journal of Electrical Engineering and Technology
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• v.11 no.6
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• pp.1872-1879
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• 2016

The techniques to recycle and reuse plastics attract public attention. These public attraction and needs result in improving the recycling technique. However, the identification technique for black plastic wastes still have big problem that the spectrum extracted from near infrared radiation spectroscopy is not clear and is contaminated by noise. To overcome this problem, we apply Raman spectroscopy to extract a clear spectrum of plastic material. In addition, to improve the classification ability of fuzzy Radial Basis Function Neural Networks, we apply supervised learning based clustering method instead of unsupervised clustering method. The conditional fuzzy C-Means clustering method, which is a kind of supervised learning based clustering algorithms, is used to determine the location of radial basis functions. The conditional fuzzy C-Means clustering analyzes the data distribution over input space under the supervision of auxiliary information. The auxiliary information is defined by using k Nearest Neighbor approach.

• Genomics & Informatics
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• v.18 no.2
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• pp.20.1-20.4
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• 2020

Accessible negative results are relevant for researchers and clinicians not only to limit their search space but also to prevent the costly re-exploration of research hypotheses. However, most biomedical relation extraction datasets do not seek to distinguish between a false and a negative relation among two biomedical entities. Furthermore, datasets created using distant supervision techniques also have some false negative relations that constitute undocumented/ unknown relations (missing from a knowledge base). We propose to improve the distinction between these concepts, by revising a subset of the relations marked as false on the phenotype-gene relations corpus and give the first steps to automatically distinguish between the false (F), negative (N), and unknown (U) results. Our work resulted in a sample of 127 manually annotated FNU relations and a weighted-F1 of 0.5609 for their automatic distinction. This work was developed during the 6th Biomedical Linked Annotation Hackathon (BLAH6).

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.13 no.2
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• pp.32-38
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• 1999

An autonomous mobile vehicle for transport system must plan optimal path in work envimnrent without human supervision and obstacle collision. This is to reach a destination without getting lost. In this paper, a genetic algorithm for globaI and local path planning and collision avoidance is proposed. The genetic algorithm searches for a path in the entire and continuous free space and unifies global path planning and local path planning. The sinmulation shows the proposed method is an efficient and effective method when compared with the traditional collision avoidance algorithms.rithms.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.3 no.3
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• pp.62-72
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• 2010

As the applications for Mobile Ad-hoc NETworks (MANETs) have varied, performance analysis has become one of the main research areas. They commonly offer only simple radio propagation models that neglect obstacles of a propagation environment. The radio wave propagation model has a strong impact on the results of the simulation run. In this paper we present the new experimental results of the impacts of the various propagation models on MANETs' performance. Intensive simulations have been presented using the group mobility which models typical ad-hoc situations such as military movements or disaster recovery activities under the supervision of a group leader. Comparisons of conventional simple models with more complicated models, i.e., shadowing, Raleigh, and Ricean models, show that, in spite of the models' popularity, the free space and two-ray ground models are too optimistic in describing real ad-hoc group mobility situations.