• Title/Summary/Keyword: Multiple installations

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A Usability Study On Museum Installations Emphasizing Interaction Design for User Experience (사용자 경험 증진을 위한 과학관 전시물의 사용성 평가)

  • Cho, Myung Eun;Choi, Han Hee;Kim, Mi Jeong
    • Korean Institute of Interior Design Journal
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    • v.22 no.5
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    • pp.302-310
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    • 2013
  • Many museums have recently employed digital technologies in exhibition installations to provide visitors with interactive experiences with the installations, not just audiences. However, most of them have focused on the adoption of new prototypes or technologies, not considering user experiences of those systems carefully. This study developed an evaluation tool for usability of the tangible user interfaces and conducted a usability study on museum installations emphasizing user interaction and experience. The evaluation tool is composed of 5 features of tangible user interfaces such as tangible, interaction, convenience, representation, spatial interaction and social interaction, and 24 items. The museum we investigated is the Gwacheon National Science Museum, where 8 installations, classified 4 categories, were selected for the usability study. We recruited 6 undergraduate students, who were divided into 2 teams, each team having 3 students. Three students in a team manipulated and experience each installation together and reported their evaluation score through the questionnaire and interviews. The results showed that the score of the usability for the category 3, which requires students to move their bodies for the interaction, is the highest one because it features with spatial interaction. Students expressed much interest in the category 4, which utilizes users' other senses, however, the score of the usability is the lowest because the interaction is temporary and repetitive. Most installations are well designed in terms of control constraints, legibility, lower thresholds, participation encouragement, and open to the public, but pooly designed in terms of multiple access points, configurability, accurate movement, ambient media, and full-body interaction.

A Study on Configuration of Small Wind Turbines for Maximum Capacity of Wind Power Systems Interconnected With a Building (빌딩 내 최대 풍력발전설비 연계를 위한 소형풍력발전원 구성에 관한 연구)

  • Lee, Yeo-Jin;Kim, Sung-Yul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.4
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    • pp.605-612
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    • 2017
  • One of the biggest environmental issues that our world has been facing is climate change. In order to cope with such environmental issues, the world is putting a great deal of effort into energy conservation. The building sector, in particular, consumes 36% of the energy consumed worldwide and emits considerable amount of greenhouse gases. Therefore, introduction of renewable energies in the building sector is highly recommended. Renewable energy sources that can be utilized in the building sector include sunlight, solar heat, geothermal heat, fuel cells and wind power. The wind power generation system which converts wind energy into electrical energy has advantages in that wind is an unlimited and pollution-free resource. It is suitable to be connected to existing buildings because many years of operational experience and the enhanced stability of the system have made it possible to downsize the electrical generator. In case of existing buildings, it is necessary to consider the live loads of the buildings to connect the wind power generation system. This paper, through the connection of the wind power generation with existing buildings, promotes reduction of greenhouse gas emissions and energy independence by reducing energy consumption in the building sector. In order to connect the wind power generation system with an exciting building, the live load of the building and the area of the rooftop should be considered. The installable model is selected by comparing the live load of the building and the load of the wind power generation system. The maximum number of the wind turbines that can be installed is obtained by considering the separation distance between the wind turbines within the area of the rooftop. Installations are divided into single installations and multiple installations of two different types of wind turbines. After determining the maximum installable number, the optimal model that can achieve the maximum annual power generation will be selected by comparing the respective total annual amount of the power generation of different models.

A Study on the Bidding Strategies of Combined Cycle Plants in a Competitive Electricity Market (경쟁적 전력시장에서 복합화력발전의 입찰전략에 대한 연구)

  • Kim, Sang-Hoon;Lee, Kwang-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.4
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    • pp.694-699
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    • 2009
  • Combined cycle plants which feature distinct advantages for power generation such as fast response, high efficiency, environmental friendliness, fuel flexiblity represent the majority of new generating plant installations across the globe. Combined cycle plants have different operating modes where the operating parameters can differ greatly depending which mode is operating at the time. This paper addresses the bidding strategy model of combined cycle plants in a competitive electricity market by using a characteristic of multiple operating modes of combined cycle plants. Simulation results of case studies show that an operating mode among multiple ones is selected strategically in generation bidding for more profit of generation company.

A Study on the Military Runway Protection Performance for the Multiple Warheads Attack (다탄두 공격에 대한 군 활주로 방호성능 평가)

  • Hwang, Injae;Han, Jaeduk;You, Seunghan;Kim, Sungkon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.40 no.5
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    • pp.521-526
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    • 2020
  • Airfield pavements, such as runways and taxiways, are essential for smooth take-off and landing of fixed-wing aircraft and are the most important installation for the military to carry out air operations during wartime. Therefore, in wartime, it is necessary to reduce the damage to these installations and repair them in the shortest possible time. Recently, the pattern of attack is changing from the use of conventional high explosive which is to create large craters to the use of multiple warheads weapon system which is to effectively attack enemy's airfields but unrelated to accuracy. Hence in this study, through identifying the specification and composition of multiple warheads weapon system, we checked the protection performance and damage patterns of the pavement when explosion occurred on the installed military runway and taxiway by the multiple warheads weapon system. And The multiple warheads weapon systems is able to cause extensive damage but the destructive power of each warhead is not as great, so I would like to propose an airfield pavement design plan for minimal protection against such attacks.

Performance Evaluation Involving Multiple Parameters in Built-In-Test Systems

  • Kang, Hee-Jung;Yoo, Wang-Jin
    • Journal of the Korean Operations Research and Management Science Society
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    • v.16 no.2
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    • pp.148-158
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    • 1991
  • The Built-In-Test (BIT) system is an integrated subsystem for the determination of the health status of any primary system. The BIT consists of hardware and software installations directed at performance of the functions of fault detection, diagnosis and isolation, as well as primary system record failure information. Evaluation of the difinitions appropriate to the BIT system, including system characteristics and parameters, is important to an understanding of system functions. The object of this paper is to present general definitions of the BIT diagnosis parameters and a semiquantiative evaluation method for BIT systems. Finally, two case studies for actual problem solutions are included.

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A Study of Video-Based Abnormal Behavior Recognition Model Using Deep Learning

  • Lee, Jiyoo;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.115-119
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    • 2020
  • Recently, CCTV installations are rapidly increasing in the public and private sectors to prevent various crimes. In accordance with the increasing number of CCTVs, video-based abnormal behavior detection in control systems is one of the key technologies for safety. This is because it is difficult for the surveillance personnel who control multiple CCTVs to manually monitor all abnormal behaviors in the video. In order to solve this problem, research to recognize abnormal behavior using deep learning is being actively conducted. In this paper, we propose a model for detecting abnormal behavior based on the deep learning model that is currently widely used. Based on the abnormal behavior video data provided by AI Hub, we performed a comparative experiment to detect anomalous behavior through violence learning and fainting in videos using 2D CNN-LSTM, 3D CNN, and I3D models. We hope that the experimental results of this abnormal behavior learning model will be helpful in developing intelligent CCTV.

Estimation of Water Quality of Fish Farms using Multivariate Statistical Analysis

  • Ceong, Hee-Taek;Kim, Hae-Ran
    • Journal of information and communication convergence engineering
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    • v.9 no.4
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    • pp.475-482
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    • 2011
  • In this research, we have attempted to estimate the water quality of fish farms in terms of parameters such as water temperature, dissolved oxygen, pH, and salinity by employing observational data obtained from a coastal ocean observatory of a national institution located close to the fish farm. We requested and received marine data comprising nine factors including water temperature from Korea Hydrographic and Oceanographic Administration. For verifying our results, we also established an experimental fish farm in which we directly placed the sensor module of an optical mode, YSI-6920V2, used for self-cleaning inside fish tanks and used the data measured and recorded by a environment monitoring system that was communicating serially with the sensor module. We investigated the differences in water temperature and salinity among three areas - Goheung Balpo, Yeosu Odongdo, and the experimental fish farm, Keumho. Water temperature did not exhibit significant differences but there was a difference in salinity (significance <5%). Further, multiple regression analysis was performed to estimate the water quality of the fish farm at Keumho based on the data of Goheung Balpo. The water temperature and dissolved-oxygen estimations had multiple regression linear relationships with coefficients of determination of 98% and 89%, respectively. However, in the case of the pH and salinity estimated using the oceanic environment with nine factors, the adjusted coefficient of determination was very low at less than 10%, and it was therefore difficult to predict the values. We plotted the predicted and measured values by employing the estimated regression equation and found them to fit very well; the values were close to the regression line. We have demonstrated that if statistical model equations that fit well are used, the expense of fish-farm sensor and system installations, maintenances, and repairs, which is a major issue with existing environmental information monitoring systems of marine farming areas, can be reduced, thereby making it easier for fish farmers to monitor aquaculture and mariculture environments.

Principles and Considerations of Bender Element Tests (벤더엘리먼트 시험의 원리와 고려사항)

  • Lee Jong-Sub;Lee Chang-Ho
    • Journal of the Korean Geotechnical Society
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    • v.22 no.5
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    • pp.47-57
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    • 2006
  • The shear wave velocity is related with the stiffness of granular skeleton and mass density. The shear stiffness of the granular skeleton remains unaffected by the presence of the fluid. Bender elements are convenient shear wave transducers for instrumenting soil cells due to optimal soil-transducer coupling. This study addresses the principles of the shear wave, the design and implementation of bender elements including electromagnetic coupling prevention, directivity, resonant frequency, detection of first arrival, and near field effects. It is shown that electromagnetic coupling effects can be minimized using parallel-type bender elements. Thus, the in-plane S-wave directivity is quasi-circular. The resonant frequency of bender element installations depends on the geometry of the bender element, the anchor efficiency and the soil stiffness. One of the most cumbersome parts in the bender element test is near field effects, which affect the selection of arrival time. The selection of the first arrival within the near field Is effectively solved by the multiple reflection technique and signal matching technique. Bender elements, which requires several considerations, may be effective tools for the subsurface characterization by using S-wave.

A Case Study of Bottom Liner Construction Using Composite Liner Technology in a Solid Waste Landfill (복합차수층 조성기술을 이용한 폐기물매립지 바닥차수층 시공사례)

  • Lee, Kyu-Jung;Lee, Nam-Hoon;Park, Soo-Young;Jeon, Won-Pyo;Lee, Chae-Young
    • Journal of the Korea Organic Resources Recycling Association
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    • v.15 no.3
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    • pp.90-96
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    • 2007
  • Modern waste management units, so-called "landfills" protect human health and environment from hazardous leachate and gas. Accordingly, it must be constructed with a bottom liner system that includes a gas collection layer. Leachate is the contaminated liquid that drains from the waste material pollutes ground water. For this reason. bottom liner system must have durability and low hydraulic conductivity (in case of compacted clay liner, no more than $1{\times}10^{-7}cm/sec$ ). P county in Kangwon province constructed a solid waste landfill with bottom liner system. In this study. it is mainly introduced that the test results on construction and quality control of bottom liner system by "Multiple composite liner construction technology", which is selected for bottom liner system in P solid waste landfill.

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A Scheme on Object Tracking Techniques in Multiple CCTV IoT Environments (다중 CCTV 사물인터넷 환경에서의 객체 추적 기법)

  • Hong, Ji-Hoon;Lee, Keun-Ho
    • Journal of Internet of Things and Convergence
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    • v.5 no.1
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    • pp.7-11
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    • 2019
  • This study suggests a methodology to track crime suspects or anomalies through CCTV in order to expand the scope of CCTV use as the number of CCTV installations continues to increase nationwide in recent years. For the abnormal behavior classification, we use the existing studies to find out suspected criminals or abnormal actors, use CNN to track objects, and connect the surrounding CCTVs to each other to predict the movement path of objectified objects CCTVs in the vicinity of the path were used to share objects' sample data to track objects and to track objects. Through this research, we will keep track of criminals who can not be traced, contribute to the national security, and continue to study them so that more diverse technologies can be applied to CCTV.