• Title/Summary/Keyword: demand control

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Temperature Measurement and Intelligent Access Management System Service Platform Advancement Research using AI Facial Recognition Technology (AI 얼굴정보처리기술을 활용한 체온측정 및 지능형 출입관리 시스템 서비스플랫폼 고도화 연구)

  • Kim, Byung-Wan
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.7
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    • pp.249-257
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    • 2021
  • Recently, interest and demand for facial information processing technology that can provide non-face-to-face identity authentication and access management service using smart devices, which is an essential environmental improvement for multi-use facilities, is increasing as a way to prevent the spread of infectious diseases worldwide and to cope with social measures. This study defines a multi-use facility classification system and applied service field to establish a continuous access control system, and measures to improve the usability of the service platform considering scalability through a dual access control system and personal/measurement information type analysis, and accordingly We would like to propose a service roadmap. In addition, it aims to improve the physical access management system service platform, which is a multi-use facility application service that requires one-time and multiple-use authentication according to usage. It is expected that the methodology of this study can be applied as a service platform of a logical access control system type in the future.

A Study on the Response Technique for Toxic Chemicals Release Accidents - Hydrogen Fluoride and Ammonia - (독성 화학물질 누출사고 대응 기술연구 - 불산 및 암모니아 누출을 중심으로 -)

  • Yoon, Young Sam;Cho, Mun Sik;Kim, Ki Joon;Park, Yeon Shin;Hwang, Dong Gun;Yoon, Jun heon;Choi, Kyung Hee
    • Korean Journal of Hazardous Materials
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    • v.2 no.1
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    • pp.31-37
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    • 2014
  • Since the unprecedented hydrogen fluoride leak accident in 2012, there has been growing demand for customized technical information for rapid response and chemical accident management agencies including the Ministry of Environment, the National Emergency Management Agency, and the National Police Agency need more information on chemicals and accident management. In this regard, this study aims to provide reliable technical data and guidelines to initial response agencies, similar to accident management technical reports of the US and Canada. In this study, we conducted a questionnaire survey and interviews on initial response agencies like fire stations, police stations, and local governments to identify new information items for appropriate initial response and improvements of current guidelines. We also collected and reviewed the Canada's TIPS, US EPA's hydrogen fluoride documents, domestic and foreign literature on applicability tests of control chemicals, and interview data, and then produced items to be listed in the technical guidelines. In addition, to establish database of on-site technical information, we carried out applicability tests for accident control data including ① emergency shut down devide, safety guard, shut down valve, ground connection, dyke, transfer pipe, scrubber, and sensor; ② literature and field survey on distribution type and transportation/storage characteristics (container identification, valve, ground connection, etc.); ③ classification and identification of storage/transportation facilities and emergency management methodslike leak prevention, chemicals control, and cutoff or bypass of rain drainage; ④ domestic/foreign analysis methods and environmental standards including portable detection methods, test standards, and exposure limits; and ⑤ comparison/evaluation of neutralization efficiency of control chemicals on toxic substances.

Token-Based User Dynamic Access Control for Secure Device Commands in Smart Home (스마트 홈에서 안전한 디바이스 제어 명령을 위한 토큰 기반 사용자 동적 접근제어 기법)

  • Hyeseon Yu;Minhye Seo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.4
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    • pp.553-568
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    • 2024
  • Due to the rapid development of IoT technology and the increase in home activities after the COVID-19 pandemic, users' demand for smart homes has increased significantly. As the size of the smart home market increases every year and the number of users increases, the importance of personal information protection and various security issues is also growing. It often grants temporary users smart home owner rights and gives them access to the system. However, this can easily allow access to third parties because the authorities granted are not properly managed. In addition, it is necessary to prevent the possibility of secondary damage using personal information collected through smart home devices and sensors. Therefore, in this paper, to prevent indiscriminate access to smart home systems without reducing user convenience, access rights are subdivided and designed according to the functions and types of smart home devices, and a token-based user access control technique using personal devices is proposed.

A Study on Selection of Media to Communicate Information for Raising Awareness of Soil Erosion Control Projects (사방사업 인지도 확산을 위한 정보전달 매체 선정 연구)

  • Ryu, Yoon-Jin;Cho, Dong-Gil;Youn, Ho-Jung;Lee, Chang-Woo;Lee, Ji-Hyun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.21 no.2
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    • pp.1-11
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    • 2018
  • As a result of climate change, mountain sediment disasters due to localized heavy rain and mountain development are occuring more frequently, thus, increasing social attention to and demand for soil erosion control projects. However, since 2011 Seoul Wumyeon Mountain landslide, the public is expressing increasing anxiety as well as negative perception regarding defective project results. Therefore, this study investigated promotional terms and information media related to soil erosion control projects according to the consumer in order to increase awareness of soil erosion control projects. In this study, the information consumers were divided into experts and the general public and conducted a survey related to promotional terms and media for communicating relevant information. In the result, the experts chose landslide prevention and recovery projects (41.8%) as an appropriate promotional term for soil erosion control projects. The general public, however, chose mountain sediment disaster prevention projects (32.5%) as the appropriate promotional term. However, the analysis showed that it would be necessary to develop an promotional term that can encompass the concept of 'disaster prevention' including forest and soil disaster as the word 'landslide' can suggest soil erosion control is limited to landslides only. In the survey regarding the media for communicating information related to soil erosion control projects according to the consumer type, the experts preferred radio and TV as media to communicate the relevant information, while, among the general public, the youths preferred social media such as Facebook and Twitter (22.22%) and adults radio and TV (34.07%), As for the most effective way to promote soil erosion control projects, the experts chose traditional promotinal media such as newspaper, radio, and TV (0.172) whereas the adults and youths preferred the internet and Facebook (0.089). It appears that using the preferred media for communicating information related to soil erosion control projects according to the consumer type will be effective way to promote soil erosion control projects.

Development of online drone control management information platform (온라인 드론방제 관리 정보 플랫폼 개발)

  • Lim, Jin-Taek;Lee, Sang-Beom
    • Journal of the Institute of Convergence Signal Processing
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    • v.22 no.4
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    • pp.193-198
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    • 2021
  • Recently, interests in the 4th industry have increased the level of demand for pest control by farmers in the field of rice farming, and the interests and use of agricultural pest control drones. Therefore, the diversification of agricultural control drones that spray high-concentration pesticides and the increase of agricultural exterminators due to the acquisition of national drone certifications are rapidly developing the agricultural sector in the drone industry. In addition, as detailed projects, an effective platform is required to construct large-scale big data due to pesticide management, exterminator management, precise spraying, pest control work volume classification, settlement, soil management, prediction and monitoring of damages by pests, etc. and to process the data. However, studies in South Korea and other countries on development of models and programs to integrate and process the big data such as data analysis algorithms, image analysis algorithms, growth management algorithms, AI algorithms, etc. are insufficient. This paper proposed an online drone pest control management information platform to meet the needs of managers and farmers in the agricultural field and to realize precise AI pest control based on the agricultural drone pest control processor using drones and presented foundation for development of a comprehensive management system through empirical experiments.

Design and Implementation of an Adaptive Synchronization Algorithm of the MPEG Stream for VOD Services (VOD 서비스를 위한 MPEG 스트림의 적응적 동기화 알고리즘 설계 및 구현)

  • Jo, Dae-Je;Lee, Yeong-Hu;Yoo, Kee-Young
    • Journal of KIISE:Computing Practices and Letters
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    • v.6 no.5
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    • pp.505-512
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    • 2000
  • In this paper, an adaptive multimedia synchronization scheme for VOD (Video On Demand) services in internet environments is proposed. This scheme considers the characteristics of MPEG (Moving Picture Expert Group) system stream. Consequently, the intra-synchronization is handled at the pack layer, and the inter-synchronization is handled at the packet layer. The proposed scheme can cope adaptively with variation of packet loss, jitter and client's playback capacity. If there are variations of the packet loss or client's playback capacity, the server will change the transmission rate by selective picture skip. The client can then adjust and control the playback time according to the variation of the network jitter. Our experimental results show that the proposed scheme can quickly adapt to the network condition, and can guarantee a better quality of service than the other existing schemes.

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Retrofit Yield Spectra-a practical device in seismic rehabilitation

  • Thermou, G.E.;Elnashai, A.S.;Pantazopoulou, S.J.
    • Earthquakes and Structures
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    • v.3 no.2
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    • pp.141-168
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    • 2012
  • The Retrofit Yield Spectrum (RYS) is a new spectrum-based device that relates seismic demand of a retrofitted structure with the fundamental design parameters of the retrofit. This is obtained from superposition of Yield Point Spectra with design charts that summarize in pertinent spectrum-compatible coordinates the attributes of a number of alternative retrofit scenarios. Therefore, once the requirements for upgrading a given structure have been determined, the RYS enable direct insight of the sensitivity of the seismic response of the upgraded structure to the preliminary design decisions made while establishing the retrofit plan. By virtue of their spectrum-based origin, RYS are derived with reference to a single mode of structural vibration; a primary objective is to control the contribution of this mode in the retrofit design so as to produce a desirable distribution of damage at the ultimate limit state by removing soft storey formations and engaging the maximum number of structural members in deformation, in response to the input motion. Calculations are performed with reference to the yield-point, where secant stiffness is proportional to the flexural strength of reinforced concrete members. Derivation and use of the Retrofit Yield Spectra (RYS) refers to the seismic demand expressed either in terms of spectral acceleration, spectral displacement or interstory drift, at yield of the first storey. A reinforced concrete building that has been tested in full scale to a sequence of simulated earthquake excitations is used in the paper as a demonstration case study to examine the effectiveness of the proposed methodology.

The Linkage Strategies Between Productivity Metrics and Financial Accounting Metrics in TPM and PAC Activities (TPM, PAC 활동에서 생산성지표와 재무회계 지표의 연계방안 전략)

  • Choi, Sungwoon
    • Journal of the Korea Safety Management & Science
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    • v.15 no.3
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    • pp.151-161
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    • 2013
  • This paper proposes a strategic model of linkage between productivity metrics and financial accounting metrics to properly evaluate the financial effect of TPM activities and the business performance. This linkage strategy provides a connection tool for clear communication between factory-level and headquarters that the metrics proposed by this paper ultimately improves a quality of support from the management by receiving the factors required for productivity activities in the practical field. This factor includes such as equipment, raw materials and labors. Here, we propose that chain reaction models using break down structure of productivity metrics and financial metrics enhance the knowledge sharing of KPI (Key Performance Indicator) which generally tend to create oversimplified communication between management in headquarters and employees in the practical fields. The productivity metrics include OEE(Overall Equipment Effectiveness) of TPM (Total Productive Maintenance), OLE (Overall Labor Effectiveness) of PAC(Performance and Analysis and Control) activities, and OYE (Overall Yield Effectiveness) of TMM(Total Material Management) activities. The financial accounting metrics include ROE(Return on Equity), ROA(Return on Asset), and AVR(Added-Value Rate). The suggested chain reaction model selects the financial metrics as initial stage and branch down until final stage of productivity metrics. When demand exceeds supply, an ideal speed rate, the lean OEE strategy can be initially applied to reduce the gap between the demand and supply, then apply variable costing to estimate correct amount of operating profit. In addition, the paper presents a new type of model for linkage between financial accounting metrics including CAPEX(Capital Expenditure), OPEX(Operating Expenditure), EVA(Economic Added Value), DCL(Degree of Combined Leverage), and TPM productivity activities including AM(Autonomous Maintenance), PM(Preventive Maintenance), MP(Maintenance Prevention) and QM(Quality Maintenance). In order to support the evidence of proposed linkage strategy, a case analysis on 52 projects from national TPM contest from 2011 to 2012 is analyzed. The case presents the classification of CAPEX and OPEX activities from TPM, and proposes the correct implementation of financial effect for TPM projects.

OPTIMAL DESIGN OF BATCH-STORAGE NETWORK APPLICABLE TO SUPPLY CHAIN

  • Yi, Gyeong-beom;Lee, Euy-Soo;Lee, In-Beom
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1859-1864
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    • 2004
  • An effective methodology is reported for the optimal design of multisite batch production/transportation and storage networks under uncertain demand forecasting. We assume that any given storage unit can store one material type which can be purchased from suppliers, internally produced, internally consumed, transported to or from other plant sites and/or sold to customers. We further assume that a storage unit is connected to all processing and transportation stages that consume/produce or move the material to which that storage unit is dedicated. Each processing stage transforms a set of feedstock materials or intermediates into a set of products with constant conversion factors. A batch transportation process can transfer one material or multiple materials at once between plant sites. The objective for optimization is to minimize the probability averaged total cost composed of raw material procurement, processing setup, transportation setup and inventory holding costs as well as the capital costs of processing stages and storage units. A novel production and inventory analysis formulation, the PSW(Periodic Square Wave) model, provides useful expressions for the upper/lower bounds and average level of the storage inventory. The expressions for the Kuhn-Tucker conditions of the optimization problem can be reduced to two sub-problems. The first yields analytical solutions for determining lot sizes while the second is a separable concave minimization network flow subproblem whose solution yields the average material flow rates through the networks for the given demand forecast scenario. The result of this study will contribute to the optimal design and operation of large-scale supply chain system.

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Chemical Oxygen Demand (COD) Model for the Assessment of Water Quality in the Han River, Korea (한강수질 평가를 위한 COD (화학적 산소 요구량) 모델 평가)

  • Kim, Jae Hyoun;Jo, Jinnam
    • Journal of Environmental Health Sciences
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    • v.42 no.4
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    • pp.280-292
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    • 2016
  • Objectives: The objective of this study was to build COD regression models for the Han River and evaluate water quality. Methods: Water quality data sets for the dry season (as of January) during a four-year period (2012-2015) were collected from the database of the Han River automatic water quality monitoring stations. Statistical techniques, including combined genetic algorithm-multiple linear regression (GA-MLR) were used to build five-descriptor COD models. Multivariate statistical techniques such as principal component analysis (PCA) and cluster analysis (CA) are useful tools for extracting meaningful information. Results: The $r^2$ of the best COD models provided significant high values (> 0.8) between 2012 and 2015. Total organic carbon (TOC) was a surrogate indicator for COD (as COD/TOC) with high reliability ($r^2=0.63$ in 2012, $r^2=0.75$ for 2013, $r^2=0.79$ for 2014 and $r^2=0.85$ for 2015). The ratios of COD/TOC were calculated as 2.08 in 2012, 1.79 in 2013, 1.52 and 1.45 in 2015, indicating that biodegradability in the water body of the Han River was being sustained, thereby further improving water quality. The BOD/COD ratio supported these findings. The cluster analysis revealed higher annual levels of microorganisms and phosphorous at stations along the Hangang-Seoul and Hantangang areas. Nevertheless, the overall water quality over the last four years showed an observable trend toward continuous improvement. These findings also suggest that non-point pollution control strategies should consider the influence of upstreams and downstreams to protect water quality in the Han River. Conclusion: This data analysis procedure provided an efficient and comprehensive tool to interpret complex water quality data matrices. Results from a trend analysis provided much important information about sources and parameters for Han River water quality management.