• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.771-789
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• 2019

Text detection has been a popular research topic in the field of computer vision. It is difficult for prevalent text detection algorithms to avoid the dependence on datasets. To overcome this problem, we proposed a novel unsupervised text detection algorithm inspired by bootstrap learning. Firstly, the text candidate in a novel form of superpixel is proposed to improve the text recall rate by image segmentation. Secondly, we propose a unique text sample selection model (TSSM) to extract text samples from the current image and eliminate database dependency. Specifically, to improve the precision of samples, we combine maximally stable extremal regions (MSERs) and the saliency map to generate sample reference maps with a double threshold scheme. Finally, a multiple kernel boosting method is developed to generate a strong text classifier by combining multiple single kernel SVMs based on the samples selected from TSSM. Experimental results on standard datasets demonstrate that our text detection method is robust to complex backgrounds and multilingual text and shows stable performance on different standard datasets.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.9
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• pp.4587-4605
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• 2019

High Efficiency Video Coding (HEVC) suffers from high computational complexity due to its quad-tree structure in motion estimation (ME). This paper exposes an adaptive search range decision algorithm for accelerating HEVC integer-pel ME on GPU which estimates the optimal search range (SR) using a MAP (Maximum A Posteriori) estimator. There are three main contributions; First, we define the motion feature as the standard deviation of motion vector difference values in a CTU. Second, a MAP estimator is proposed, which theoretically estimates the motion feature of the current CTU using the motion feature of a temporally adjacent CTU and its SR without any data dependency. Thus, the SR for the current CTU is parallelly determined. Finally, the values of the prior distribution and the likelihood for each discretized motion feature are computed in advance and stored at a look-up table to further save the computational complexity. Experimental results show in conventional HEVC test sequences that the proposed algorithm can achieves high average time reductions without any subjective quality loss as well as with little BD-bitrate increase.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.9
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• pp.4665-4683
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• 2019

Previous methods build image annotation model by leveraging three basic dependencies: relations between image and label (image/label), between images (image/image) and between labels (label/label). Even though plenty of researches show that multiple dependencies can work jointly to improve annotation performance, different dependencies actually do not "work jointly" in their diagram, whose performance is largely depending on the result predicted by image/label section. To address this problem, we propose the adaptive attention annotation model (AAAM) to associate these dependencies with the prediction path, which is composed of a series of labels (tags) in the order they are detected. In particular, we optimize the prediction path by detecting the relevant labels from the easy-to-detect to the hard-to-detect, which are found using Binary Cross-Entropy (BCE) and Triplet Margin (TM) losses, respectively. Besides, in order to capture the inforamtion of each label, instead of explicitly extracting regional featutres, we propose the self-attention machanism to implicitly enhance the relevant region and restrain those irrelevant. To validate the effective of the model, we conduct experiments on three well-known public datasets, COCO 2014, IAPR TC-12 and NUSWIDE, and achieve better performance than the state-of-the-art methods.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.672-675
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• 2003

The development of information ＆ technology and the Internet provides various connecting routes between manufacturers with consumers. These expanded routes has made it Possible fer customers to directly transfer their voice to manufacturers, but n research on how the manufacturers respond the customers' needs has to be further conducted. In this paper, a method in which a best supplier would be chosen based on customers' needs from the perspective of a buyer tab been Presented. A method that makes it possible to evaluate and choose the best supplier in accordance with consumers' requirement by analyzing customers' needs and the evaluated data also hag been designed.

• Journal of Information Technology Services
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• v.10 no.4
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• pp.33-46
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• 2011

This research focus on the economic activity as consumer and producer traits of future customers in the convergence age. We assess level of convergence for digital devices and services respectively by questionnaire survey and interview for 14 professions. And then, for evaluating convergence level and usage of digital services of each respondents, we conducted the questionnaire survey for 343 samples. Findings of our research hold that the group who showed higher level of convergence tends to use the socialized digital services more. Convergence generation were heavy users in appstore on smart-phone and wireless game and more participating. In digital service area, facebook/cyworld, twitter, UCC, portal, internet community in digital service. Convergence generation are global network communication, buying decision making activity, actively opinion expression, prosumer attitude, dependency on digital device, experience based purchase behavior, enthusiastic information sharing.

• Journal of Biosystems Engineering
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• v.27 no.4
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• pp.349-354
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• 2002

In this study, we proposed a web-based teleoperation system to enhance the productivity and flexibility of the greenhouse since basically, internet-based teleoperation enables cheap, expandable system to be implemented. Platform independent language, Java-based control system can overcome the platform dependency which most of conventional control systems have. One of the merits of the proposed system is the flexibility of the data based system from which some valuable analysis can be implemented on-line. Some basic experiments show the stability and field applicability of the proposed remote control system.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.8
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• pp.689-695
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• 2004

This paper presents a robot system that combines computer network and an autonomous mobile robot where RTOS is installed. We propose a wireless communication protocol, and also implement it on the RTOS of the robot system. Main controller of the robot processes the control program as a task type in the real-time operating system. Peripheral devices are driven by the device driver functions with the dependency of the hardware. Because the client and server program was implemented to support the multi-platforms by Java SDK and Java JMF, it is easy to analyze programs, maintain system, and correct the errors in the system. End-user can control a robot with a vision showing remote sight over the Internet in real time, and the robot is moved keeping away from the obstacles by itself and command of the server received from end-user at the local client.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.225-232
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• 2021

Obesity is caused by the accumulation of triglycerides in adipocytes by the differentiation and lipid synthesis process of pre-adipocytes, and excessive accumulation of adipocytes by the activated Adipogenesis process within the differentiated cells. Therefore, inhibiting the differentiation of adipocyte cells or controlling the adipogenesis process is known as an effective treatment method for obesity. This study evaluates the inhibition of Red beet root extract on pancreatic lipase and pre-adipocyte cell differentiation. Also it evaluates the Red beet root extract activities on C/EBP-𝛼,𝛽, and PPAR-𝛄. The experiments proved that the Red beet root extract inhibits pancreatic lipase by concentration dependency. Further, in 3T3-L1 inhabitation experiment, it was found Red beet root extract inhibited adipocyte formation. Red beet root extract also inhibits the expression of C/EBP-𝛼, C/EBP-𝛽, and PPAR-𝛾 which effect the process of adipocytic differentiation. We therefore concluded that RBE has a high potential to further studies on anti-obesity effect.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5326-5336
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• 2012

Most middle and high school students in Korea use internet for gaming and recreation. This study aimed to classify middle and high school students according to amount of time they spend playing games and analyze relationship domestic factors. Weekday game times and environmental factors of the adolescents in Korea. The group with average game time of 30 min, 0:30-1:30 hours, 1:30-3:00 hours, over 4:00 hours. Subjects in this study were 6,487 middle and high school students. For the category "thoughts about game characters", the group with average game time of 1:30~3:00 hours replied "not at all" but the group with average game time of over 4:00 hours replied "sometimes", which was significantly different from the previous group. Similarly, for the category "lack of time for homework", the group with average game time of 1:30~3:00 hours replied "not at all", which significantly differed from the "sometimes" response from the group with average game time. For satisfaction with interest, "average" was the most frequent response from all the groups. Analyzing correlation of factors influencing game addiction in subjects with game time showed that factors related to game addiction diagnosis and academic performance were especially different in the group with average game time of over 4:00 hours compared to other groups. Nowadays internet has taken a large and significant part of our life such that a life without internet is hard to imagine, and our dependency on internet has risen at the same time. Accordingly, education on appropriate utilization and correct usage of internet to youths who lack self-control and judgment is very needed.

• Journal of Global Scholars of Marketing Science
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• v.17 no.4
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• pp.201-221
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• 2007

Recently price as an information clue on online shopping has become important and price dependency has been also increased. This study suggests the flow which customers experience on online shopping plays a leading role in a matter of revisiting intention, but price sensitivity has a possibility to decrease the flow on the basis of literature investigation. While telling the differences in types of shopping malls, this study also examines relationship verifications with price sensitivity, flow of internet shopping mall and revisiting intension. The results show the flow experience through temporal dissociation makes increase a revisiting intention. To the contrary, this study presents a price search dimension in price sensitivity has negative influence to each dimension of temporal dissociation, heightened enjoyment and curiosity and also the relationship between price importance and flow is rejected. In addition, this influence gets different results by internet auction, pure internet shopping mall, shopping mall which can show price comparisons. In the case of shopping mall which can show price comparisons, more price researches become less curiosities and more heightened enjoyments and curiosities get more revisiting intentions. In the internet auction's case, price search decreases a temporal dissociation and heightened enjoyment and improves a revisiting intention when a temporal dissociation and heightened enjoyment are increased. Price research reduces three types of flow dimensions such as a temporal dissociation, heightened enjoyment, and curiosity in the pure internet shopping mall. In addition, only heightened enjoyment affects to a revisiting intentions.