• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.53-59
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• 2020

This paper relates to an IoT device system that detects sound source and estimates the sound source location. More specifically, it is a system using a sound source direction detection device that can accurately detect the direction of a sound source by analyzing the difference of arrival time of a sound source signal collected from microphone sensors, and track the generation direction of a sound source using an IoT sensor. As a result of a performance test by generating a sound source, it was confirmed that it operates very accurately within 140dB of the acoustic detection area, within 1 second of response time, and within 1° of directional angle resolution. In the future, based on this design plan, we plan to commercialize it by improving the reliability by reflecting the artificial intelligence algorithm through big data analysis.

• Journal of The Korean Association For Science Education
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• v.21 no.4
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• pp.689-696
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• 2001

Students who have correct conception didn't show big changes in a test of cognitive conflict, while students who have misconception made significant changes Most students who had misconception were considerably curious about demonstration of an actual phenomenon. On the other hand, according to their own confidence of preconception, the higher confidence of misconception is, the bigger conflicts are and when they meet some different phenomenon unlike their ideas, their psychological shock was big. After a cognitive conflict lesson, students' conception was significantly changed regardless of students' confidence of preconception and the persistence effect new conceptions showed similar result as preceeding research regardless of confidence of preconception. That is, the change decreased from immediate after demonstration of an conflict situation to a week after. After conceptual change, students' confidence of correct conception was generally increased, so it turned out that cognitive conflict lesson had a positive effect on students who had a misconception.

• Journal of the Korea Construction Safety Engineering Association
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• s.43
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• pp.98-106
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• 2007

In this paper, a ground disturbance effects, strength and consolidation characteristics of soft clay through using the large block samples($\theta$:300mm, H:400mm) and the piston samples, f hose which had been gathered in west coast and south coast. Especially, we have assessed the coefficient of horizontal consolidation when penetrating the mandrel considering the variance of ratio between diameter and height in drainage sample through the experiment of the oedometer test and Rowecell and also investigated the disturbance area in smear zone by interior model test, the strength originated by disturbance, the variance in characteristics of the consolidation. As the result, the large block sample has been investigated that ihe uniaxial compression test(qu) was shown bigger than the piston sample by about 11-19%. Under the size of anistropy in consolidation, the coefficient ratio of consolidation(ch/cv,) perfomed by standard consolidation test(SC) was shown bigger than that of (Cro/Cv) by the Rowecell test. And the coefficient ratio of consolidation(Cro/Cv) perfomed by piston sample was evaluated bigger than that Of (Cro/Cv) by the large block sample by about 0.9-1.9. The coefficient ratio of consolidation along with the variance in ratio of between diameter and height when penetrating the mandrel was shown big difference according to the characteristics of soil of the specimen. In addition, ds/dw of smear zone at the marine clay in west-south was ranged from 1.6 to 4.2. The width of variance in rat io[(qud)/(quud)] of strength n the area between disturbance and undisturbance was shown big as about 72-91% but the principle was judged with the similiar range when the decrease of the strength in smear zone become the zone under 25% in unditurbance area.

• Archives of design research
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• v.12 no.4
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• pp.201-209
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• 1999

Feb. 11. 1997, Korean Government announced FM Radio Broadcasting and TV Terrestrial TV Broadcasting will be changed to digital format in year 2001, and all Korean Broadcasting except AM Radio and Microwave will be changed to digital format before 2010. In spite of IMF economic crisis, the Digitizing is the one of the hot issue in TV Broadcasting area. The narrow view of the Digitizing the Broadcasting is a technical development from the analogue to digital, but the extended view of it means not only the technical development but the revolution in the concept of TV and service area, relationship between sender and receiver, structure of TV Industry. Thus Digitizing the Broadcasting shifts paradigm and eventually it cause a big change in the advertising creative. The digital TV could be a very encouraging technical development for the consumers convenience because of the multiple choice in the channels and interactive services which leads us to the multimedia service through the TV . On the other hand, multimedia and multi-channel, interactivity implicate a big uncertainty and risk, This research paper is about the technical aspects and social aspects of digital TV and its influence of the marketing and TV advertising creative.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.50 no.3
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• pp.301-309
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• 2014

This study was carried out to compare the regional fishing gears and catches of the gape net with wings used in Jeonnam, Korea. The total length of the gear used in Yeosu, Wando and Jindo was 107.0m, 64.0m, 52.8m, and the size of codend was 4.3mm. 7.8mm. 9.8mm, respectively. The total number of bycatch species from anchovy (Engraulis japonicus) catches in Yeosu, Wando, and Jindo during the survey period were 21, 13, and 13 species. A total of individuals of anchovy accounted for over 90% out of total catches in all survey areas. The proportion of anchovy individuals was constantly high up to October in Yeosu, but it showed a sharp reduction to 18% in October in Wando with the increase of the individuals of Kammal thryssa (Thryssa kammalensis) and Big eyed herring (Sardinella zunasi). In Jindo, individuals of anchovy occupied over 99.8% out of total catches up to August. Since August, the number of individuals of Big eyed herring (Sardinella zunasi), Kammal thryssa (Thryssa kammalensis), and Slimy (Leiognathus nuchalis) has increased while the number of anchovy individuals were decreased.

• Journal of the Korea Society of Computer and Information
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• v.11 no.3
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• pp.281-289
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• 2006

Even though software developing environment has been changing to Web basis very fast, there are just few studies of quality metric or estimation model for Web software. In this study after analyzing the correlation between the risk level and property of objects using linear regression, six middle sized industrial system has been used to propose the correlation model of size and Number of Classes(NOC), size and Number of Methods(NOM), complexity and NOC, and complexity and NOM. Among of six systems 5 systems(except S06) have high correlation between size(LOC) and NOM, and four systems(except S04 & S06) have high correlation between complexity and NOC / NOM. As Web software architecture with three sides of Server, Client and HTML, complexity of each sides has been compared, two system(S04, S06) has big differences of each sides compleity values and one system(S06) has very higher complexity value of HTML, So the risk level could be estimated through NOM to improve maintenance in case of that the system has no big differences of each sides complexity.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.5
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• pp.75-82
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• 2021

The number of traffic accidents is about 230,000, and due to non-recurring congestion and high driving speed, the number of deaths per traffic accident on freeways is more than twice compared to other roads. Currently, traffic information is provided based on nodes and links using the centerline of the road, but it does not provide detailed speed information. Recently, installing sensors for vehicles to monitor obstacles and measure location is becoming common not only for autonomous vehicles but also for ordinary vehicles as well. The analysis using large-capacity location-based data from such sensors enables real time service according to processing speed. This study presents an mapping method for individual vehicle data analysis based on space. The processing speed of large-capacity data was increased by using method which applied a quaternary notation basis partition method that splits into two directions of longitude and latitude respectively. As the space partition was processed, the average speed was similar, but the speed standard deviation gradually decreased, and decrease range became smaller after 9th partition.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.44-50
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• 2021

Recently, enterprise storage systems that require large-capacity storage devices to accommodate big data have used large-capacity flash memory-based storage devices with high density compared to cost and size. This paper proposes a high-efficiency life prediction method with slope descent to maximize the life of flash memory media that directly affects the reliability and usability of large enterprise storage devices. To this end, this paper proposes the structure of a matrix for storing metadata for learning the frequency of defects and proposes a cost model using metadata. It also proposes a life expectancy prediction policy in exceptional situations when defects outside the learned range occur. Lastly, it was verified through simulation that a method proposed by this paper can maximize its life compared to a life prediction method based on the fixed number of times and the life prediction method based on the remaining ratio of spare blocks, which has been used to predict the life of flash memory.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.116-122
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• 2019

In recent years, small and medium-sized businesses are rapidly changing to an industrial structure where process/quality/energy data aggregates can be automatically or real-time to achieve global competitiveness. In particular, real-time information analysis produced in the production process of small businesses is evolving into a new process process that analyzes, predicts, prescribes and implements significant performance of small businesses. In this paper, we propose a platform-building model that can transform the automated production information system of small businesses into big data so that they can upgrade data that is generated by small businesses. The proposed model has the capability to support operational efficiency (consulting and training) and strategic decision making of small businesses by utilizing a variety of data on the basic information of products produced by small businesses for data collection by smart SMEs. In addition, the proposed model is characterized by close cooperation between small and medium-sized businesses with different regional characteristics and areas of information sharing and system linkage.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.1-12
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• 2019

A dialog system becomes a new way of communication between human and computer. The dialog system takes human voice as an input, and gives a proper response in voice or perform an action. Although there are several well-known products of dialog system (e.g., Amazon Echo, Naver Wave), they commonly suffer from a problem of out-of-domain utterances. If it poorly detects out-of-domain utterances, then it will significantly harm the user satisfactory. There have been some studies aimed at solving this problem, but it is still necessary to study about this intensively. In this paper, we give an overview of the previous studies of out-of-domain detection in terms of three point of view: dataset, feature, and method. As there were relatively smaller studies of this topic due to the lack of datasets, we believe that the most important next research step is to construct and share a large dataset for dialog system, and thereafter try state-of-the-art techniques upon the dataset.