• Title/Summary/Keyword: Key Interface

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The Research of the Modularity of Federation Object Model to Improve Interoperability of RTI-based Simulations (RTI기반 시뮬레이션의 상호운용성 향상을 위한 연동모델의 모듈화 방안에 대한 연구)

  • Shim, Jun-Yong;Cho, Won-Seob;Jin, Jung-Hun;Kim, Sae-Hwan
    • Journal of the Korea Society for Simulation
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    • v.18 no.3
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    • pp.139-146
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    • 2009
  • Recently, software industry regarding national defense increases system development of distributed simulation system of M&S based to overcome limit of resource and expense. It is one of key technologies for offering of mutual validation among objects and reuse of objects which are discussed for developing these systems. RTI, implementation of HLA interface specification as software providing these technologies uses Federation Object Model for exchanging information with joined federates in the federation and each federate has a characteristic that is supposed to have identical FOM in the federation. This paper presents a characteristic of Base Object Model, SISO standardization for improving reuse and interoperability of Federation Object Model applied simulation network manager based HLA/RTI and suggests method of designing the structure of simulation network manager through the modularity of Federation Object Model.

Text Mining Analysis of Customer Reviews on Public Service Robots: With a focus on the Guide Robot Cases (텍스트 마이닝을 활용한 공공기관 서비스 로봇에 대한 사용자 리뷰 분석 : 안내로봇 사례를 중심으로)

  • Hyorim Shin;Junho Choi;Changhoon Oh
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.787-797
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    • 2023
  • The use of service robots, particularly guide robots, is becoming increasingly prevalent in public institutions. However, there has been limited research into the interactions between users and guide robots. To explore the customer experience with the guidance robot, we selected 'QI', which has been meeting customers for the longest time, and collected all reviews since the service was launched in public institutions. By using text mining techniques, we identified the main keywords and user experience factors and examined factors that hinder user experience. As a result, the guide robot's functionality, appearance, interaction methods, and role as a cultural commentator and helper were key factors that influenced the user experience. After identifying hindrance factors, we suggested solutions such as improved interaction design, multimodal interface service design, and content development. This study contributes to the understanding of user experience with guide robots and provides practical suggestions for improvement.

Key Technology for Food-Safety Traceability Based on a Combined Two-Dimensional Code

  • Zhonghua Li;Xinghua Sun;Ting Yan;Dong Yang;Guiliang Feng
    • Journal of Information Processing Systems
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    • v.19 no.2
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    • pp.139-148
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    • 2023
  • Current food-traceability platforms suffer from problems such as inconsistent traceability standards, a lack of public credibility, and slow access to data. In this work, a combined code and identification method was designed that can achieve more secure product traceability using the dual anti-counterfeiting technology of a QR code and a hidden code. When the QR code is blurry, the hidden code can still be used to effectively identify food information. Based on this combined code, a food-safety traceability platform was developed. The platform follows unified encoding standards and provides standardized interfaces. Based on this innovation, the platform not only can serve individual food-traceability systems development, but also connect existing traceability systems. These will help to solve the problems such as non-standard traceability content, inconsistent processes, and incompatible system software. The experimental results show that the combined code has higher accuracy. The food-safety traceability platform based on the combined code improves the safety of the traceability process and the integrity of the traceability information. The innovation of this paper is invoking the combined code united the QR code's rapidity and the hidden code's reliability, developing a platform that uses a unified coding standard and provides a standardized interface to resolve the differences between multi-food-traceability systems. Among similar systems, it is the only one that has been connected to the national QR code identification platform. The project has made profits and has significant economic and social benefits.

Experimental assessment on flexural behavior of demountable steel-UHPC composite slabs with a novel NPR steel plate

  • Jin-Ben Gu;Jun-Yan Wang;Yi Tao;Qing-Xuan Shi
    • Steel and Composite Structures
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    • v.49 no.4
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    • pp.381-392
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    • 2023
  • This study experimentally investigates the flexural behavior of steel-UHPC composite slabs composed of an innovative negative Poisson's ratio (NPR) steel plate and Ultra High Performance Concrete (UHPC) slab connected via demountable high-strength bolt shear connectors. Eight demountable composite slab specimens were fabricated and tested under traditional four-point bending method. The effects of loading histories (positive and negative bending moment), types of steel plate (NPR steel plate and Q355 steel plate) and spacings of high-strength bolts (150 mm, 200 mm and 250 mm) on the flexural behavior of demountable composite slab, including failure mode, load-deflection curve, interface relative slip, crack width and sectional strain distribution, were evaluated. The results revealed that under positive bending moment, the failure mode of composite slabs employing NPR steel plate was distinct from that with Q355 steel plate, which exhibited that part of high-strength bolts was cut off, part of pre-embedded padded extension nuts was pulled out, and UHPC collapsed due to instantaneous instability and etc. Besides, under the same spacing of high-strength bolts, NPR steel plate availably delayed and restrained the relative slip between steel plate and UHPC plate, thus significantly enhanced the cooperative deformation capacity, flexural stiffness and load capacity for composite slabs further. While under negative bending moment, NPR steel plate effectively improved the flexural capacity and deformation characteristics of composite slabs, but it has no obvious effect on the initial flexural stiffness of composite slabs. Meanwhile, the excellent crack-width control ability for UHPC endowed composite members with better durability. Furthermore, according to the sectional strain distribution analysis, due to the negative Poisson's ratio effect and high yield strength of NPR steel plate, the tensile strain between NPR steel plate and UHPC layer held strain compatibility during the whole loading process, and the magnitude of upward movement for sectional plastic neutral axis could be ignored with the increase of positive bending moment.

Research on SecureOS Module Based on File System for Data Protection (데이터 보호를 위한 파일시스템 기반의 SecureOS Module에 관한 연구)

  • Yonggu JANG;Inchul KIM;Jisong RYU
    • Journal of the Korean Association of Geographic Information Studies
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    • v.26 no.4
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    • pp.67-79
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    • 2023
  • Service environments through laptops, smart devices, and various IoT devices are developing very rapidly. Recent security measures in these Internet environments mainly consist of network application level solutions such as firewall(Intrusion Prevention Systems) and IDS (intrusion detection system). In addition, various security data have recently been used on-site, and issues regarding the management and destruction of such security data have been raised. Products such as DRM(Digital Rights Management) and DLP(Data Loss Prevention) are being used to manage these security data. However despite these security measures, data security measures taken out to be used in the field are operated to the extent that the data is encrypted, delivered, and stored in many environments, and measures for encryption key management or data destruction are insufficient. Based on these issues we aim to propose a SecureOS Module, an OS-based security module. With this module users can manage and operate security data through a consistent interface, addressing the problems mentioned above.

Lessons from constructing and operating the national ecological observatory network

  • Christopher McKay
    • Journal of Ecology and Environment
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    • v.47 no.4
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    • pp.187-192
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    • 2023
  • The United States (US) National Science Foundation's (NSF's) National Ecological Observatory Network (NEON) is a continental-scale observation facility, constructed and operated by Battelle, that collects long-term ecological data to better understand and forecast how US ecosystems are changing. All data and samples are collected using standardized methods at 81 field sites across the US and are freely and openly available through the NEON data portal, application programming interface (API), and the NEON Biorepository. NSF led a decade-long design process with the research community, including numerous workshops to inform the key features of NEON, culminating in a formal final design review with an expert panel in 2009. The NEON construction phase began in 2012 and was completed in May 2019, when the observatory began the full operations phase. Full operations are defined as all 81 NEON sites completely built and fully operational, with data being collected using instrumented and observational methods. The intent of the NSF is for NEON operations to continue over a 30-year period. Each challenge encountered, problem solved, and risk realized on NEON offers up lessons learned for constructing and operating distributed ecological data collection infrastructure and data networks. NEON's construction phase included offices, labs, towers, aquatic instrumentation, terrestrial sampling plots, permits, development and testing of the instrumentation and associated cyberinfrastructure, and the development of community-supported collection plans. Although colocation of some sites with existing research sites and use of mostly "off the shelf" instrumentation was part of the design, successful completion of the construction phase required the development of new technologies and software for collecting and processing the hundreds of samples and 5.6 billion data records a day produced across NEON. Continued operation of NEON involves reexamining the decisions made in the past and using the input of the scientific community to evolve, upgrade, and improve data collection and resiliency at the field sites. Successes to date include improvements in flexibility and resilience for aquatic infrastructure designs, improved engagement with the scientific community that uses NEON data, and enhanced methods to deal with obsolescence of the instrumentation and infrastructure across the observatory.

Improved prediction of soil liquefaction susceptibility using ensemble learning algorithms

  • Satyam Tiwari;Sarat K. Das;Madhumita Mohanty;Prakhar
    • Geomechanics and Engineering
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    • v.37 no.5
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    • pp.475-498
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    • 2024
  • The prediction of the susceptibility of soil to liquefaction using a limited set of parameters, particularly when dealing with highly unbalanced databases is a challenging problem. The current study focuses on different ensemble learning classification algorithms using highly unbalanced databases of results from in-situ tests; standard penetration test (SPT), shear wave velocity (Vs) test, and cone penetration test (CPT). The input parameters for these datasets consist of earthquake intensity parameters, strong ground motion parameters, and in-situ soil testing parameters. liquefaction index serving as the binary output parameter. After a rigorous comparison with existing literature, extreme gradient boosting (XGBoost), bagging, and random forest (RF) emerge as the most efficient models for liquefaction instance classification across different datasets. Notably, for SPT and Vs-based models, XGBoost exhibits superior performance, followed by Light gradient boosting machine (LightGBM) and Bagging, while for CPT-based models, Bagging ranks highest, followed by Gradient boosting and random forest, with CPT-based models demonstrating lower Gmean(error), rendering them preferable for soil liquefaction susceptibility prediction. Key parameters influencing model performance include internal friction angle of soil (ϕ) and percentage of fines less than 75 µ (F75) for SPT and Vs data and normalized average cone tip resistance (qc) and peak horizontal ground acceleration (amax) for CPT data. It was also observed that the addition of Vs measurement to SPT data increased the efficiency of the prediction in comparison to only SPT data. Furthermore, to enhance usability, a graphical user interface (GUI) for seamless classification operations based on provided input parameters was proposed.

Building Service UX Index : Measuring UX Satisfaction in Mobile Content Services (사용자 만족도에 기반 한 서비스 UX 인덱스 구축 -모바일 컨텐츠 기반 서비스를 중심으로)

  • Park, Jongmin;Ha, Hyunnam;Hong, Sangwoo;Chung, Kyungwon
    • Journal of the HCI Society of Korea
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    • v.9 no.2
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    • pp.41-51
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    • 2014
  • In mobile content services like apps for smart mobile devices in specific, there has been a growing interest in evaluating UX quality to make sure that it provides better experience to users and consequently, secures competitiveness in a market. In that sense, usability testing has been considered as one method that enables designers and design managers to evaluate UI quality before they launch their service. However, those designers have been faced with a following fundamental question to be answere d : Is good UX design a good business? In other words, can well-designed service, which has good usability, actually satisfy target users and improve competitiveness in a market? There is no doubt that usability is one important factor perceived by users. However, it has a limit in terms of evaluating UX quality in macro level, as it mostly focuses on ease of use and efficiency of performing tasks, but does not cover other possible experiential factors, which also can be perceived by users, such as market situation and preexistence experience. Therefore, this research aims to identify key experiential factors in using mobile content services, and establish service UX index model that enables to measure perceived user satisfaction, and identify how UX design contributes to the satisfaction in quantitative way.

Framework and Core Competency of Integrated Design Management (IDM) (통합설계관리의 개념적 틀 및 역량강화 요소 - 건축과 플랜트를 중심으로 -)

  • Kim, Yesol;Jung, Youngsoo
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.1
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    • pp.122-133
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    • 2014
  • Recent diversification of project delivery systems coupled with increasing mega-projects requires highly advanced construction management techniques. Among those techniques, procurement and design management are recognized as being the first priority for overseas construction projects. Nevertheless, previous research in design management has been limited to the quality management of the design documents at design stage. Therefore, it is necessary to explore the design management from a comprehensive perspective throughout the project life cycle. In this context, the purpose of this paper is to propose a conceptual framework for integrated design management (IDM). Several different concepts in relation to design management were investigated first in order to identify the major variables of the IDM framework. A comprehensive comparison of construction management methodologies was also analyzed in order to identify key factors of IDM. Finally, an IDM framework was proposed by combining those factors and relevant issues. Based on the proposed framework, a survey was conducted in order to validate the framework as well as to identity important areas for improving competitive capability of Korean construction companies.

Design and Implementation of Query Processor for Moving Objects (이동객체를 위한 질의처리 컴포넌트의 설계 및 구현)

  • Kim, Kyoung-Sook;Kwon, O-Je;Byun, Hee-Young;Jo, Dae-Soo;Kim, Tae-Wan;Li, Ki-Joune
    • Journal of Korea Spatial Information System Society
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    • v.6 no.1 s.11
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    • pp.31-50
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    • 2004
  • With the growth of wireless communication networks and mobile devices taking in GPS, Location-Based Service(LBS) is becoming an integral part of mobile applications. LBS can deal with location-aware features such as persons holding mobile phones or vehicles equipped with GPS, and provide the users with the location information of the features. Thus it is necessary to develop moving object database systems to store, manage, and query moving objects which change their locations continuously as time passes. In this paper, we design and implement a query processing component which deals with moving objects as a key data type. For this component, we define a new SQL-like query language(called MOQL) and as a consequence, design and implement modules that analyze and execute queries. It supports various types of operators that process range queries, infer topological relations, compute trajectories, and find k-nearest neighbors. It can be used as a subsystem if other application systems which deal moving objects and also supports ADO.NET interface that can be used to interact end-users.

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