• Title/Summary/Keyword: tracking and monitoring

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The Identified Self: Location-Based Technologies, Surveillance, and Non-place (식별되는 자: 위치기반기술, 원격성과 감시의 문제, 그리고 비-장소(non-place))

  • Yi, Doogab
    • Journal of Science and Technology Studies
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    • v.16 no.2
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    • pp.1-31
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    • 2016
  • This essay examines the recent proliferation of location-based services (LBS) within the context the expansion of the technologies of remote identification, monitoring, and tracking. Following the spatial turn in the social sciences, this essay aims to analyze LBS as a surveillance technology that can re-shape the spatial configuration of its users and their identity. The analytic focus of this essay is on LBS within the global information infrastructure, and it utilizes key LBS examples in the US and South Korea. First, as a way to discuss the technical possibilities of LBS for spatial coordination and surveillance, this essay investigates its technical architecture in terms of information flow. It then discusses the issue of privacy in LBS by analyzing some of its key legal and regulatory issues. The combination of the global information infrastructure with location-related technologies has enabled LBS companies to expand the scope of surveillance over the ever-increasing computer-mediated activities, prompting heated discussions over whether LBS is capturing "Every Moment in Your Life." This essay concludes with a discussion on how location technologies have provided a key platform for the rise of surveillance capitalism through the creation of what Marc $Aug{\acute{e}}$ called a "non-place," a place where the identified self is constituted by LBS.

Development of Prediction Model for Yard Tractor Working Time in Container Terminal (컨테이너 터미널 야드 트랙터 작업시간 예측 모형 개발)

  • Jae-Young Shin;Do-Eun Lee;Yeong-Il Kim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.57-58
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    • 2023
  • The working time for loading and transporting containers in the container terminal is one of the factors directly related to port productivity, and minimizing working time for these operations can maximize port productivity. Among working time for container operations, the working time of yard tractors(Y/T) responsible for the transportation of containers between berth and yard is a significant portion. However, it is difficult to estimate the working time of yard tractors quantitatively, although it is possible to estimate it based on the practical experience of terminal operators. Recently, a technology based on IoT(Internet of Things), one of the core technologies of the 4th industrial revolution, is being studied to monitoring and tracking logistics resources within the port in real-time and calculate working time, but it is challenging to commercialize this technology at the actual port site. Therefore, this study aims to develop yard tractor working time prediction model to enhance the operational efficiency of the container terminal. To develop the prediction model, we analyze actual port operation data to identify factors that affect the yard tractor's works and predict its working time accordingly.

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Smart Browser based on Semantic Web using RFID Technology (RFID 기술을 이용한 시맨틱 웹 기반 스마트 브라우저)

  • Song, Chang-Woo;Lee, Jung-Hyun
    • The Journal of the Korea Contents Association
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    • v.8 no.12
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    • pp.37-44
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    • 2008
  • Data entered into RFID tags are used for saving costs and enhancing competitiveness in the development of applications in various industrial areas. RFID readers perform the identification and search of hundreds of objects, which are tags. RFID technology that identifies objects on request of dynamic linking and tracking is composed of application components supporting information infrastructure. Despite their many advantages, existing applications, which do not consider elements related to real.time data communication among remote RFID devices, cannot support connections among heterogeneous devices effectively. As different network devices are installed in applications separately and go through different query analysis processes, there happen the delays of monitoring or errors in data conversion. The present study implements a RFID database handling system in semantic Web environment for integrated management of information extracted from RFID tags regardless of application. Users’ RFID tags are identified by a RFID reader mounted on an application, and the data are sent to the RFID database processing system, and then the process converts the information into a semantic Web language. Data transmitted on the standardized semantic Web base are translated by a smart browser and displayed on the screen. The use of a semantic Web language enables reasoning on meaningful relations and this, in turn, makes it easy to expand the functions by adding modules.

Analysis of Behavioral Characteristics of Broilers by Feeding, Drinking, and Resting Spaces according to Stocking Density using Image Analysis Technique (영상분석기법을 활용한 사육밀도에 따른 급이·급수 및 휴식공간별 육계의 행동특성 분석)

  • Kim, Hyunsoo;Kang, HwanKu;Kang, Boseok;Kim, ChanHo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.12
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    • pp.558-569
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    • 2020
  • This study examined the frequency of a broiler's stay in each area as stock density using an ICT-based image analysis technique from the perspective of precision livestock farming (PLF) according to the increase in the domestic broiler farms to understand the normal behavior patterns of broilers by age. The broiler was used in the experimental box (3.3×2.7 m) in a poultry house in Gyeonggi province. The stock densities were 9.5 birds/㎡ (n=85) and 19 birds/㎡ (n=170), respectively, and the frequency of stay by feeding, water, and rest area was monitored using a top-view camera. The image data of three-colored-specific broilers identified as the stock density were acquired by age (12, 16, 22, 27, and 29 days) for six hours. In the collected image data, the object tracking technique was used to record the cumulative movement path by connecting approximately 640,000 frames at 30 fps to quantify the frequency of stay in each area. In each stock density, it was significant in the order of the rest area, feeding, and water area (p<0.001). In 9.5 birds/㎡, it was at 57.9, 24.2, and 17.9 %, and 73.2, 16.8, and 10 % in 19 birds/㎡. The frequency of a broiler's stay could be evaluated in each area as the stock density using an ICT-based image analysis technique that minimizes stress. This method is expected to be used to provide basic material for developing an ICT-based management system through real-time monitoring.

Building a Log Framework for Personalization Based on a Java Open Source (JAVA 오픈소스 기반의 개인화를 지원하는 Log Framework 구축)

  • Sin, Choongsub;Park, Seog
    • KIISE Transactions on Computing Practices
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    • v.21 no.8
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    • pp.524-530
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    • 2015
  • A log is for text monitoring and perceiving the issues of a system during the development and operation of a program. Based on the log, system developers and operators can trace the cause of an issue. In the development phase, it is relatively simple for a log to be traced while there are only a small number of personnel uses of a system such as developers and testers. However, it is the difficult to trace a log when many people can use the system in the operation phase. In major cases, because a log cannot be tracked, even tracing is dropped. This study proposed a simplified tracing of a log during the system operation. Thus, the purpose is to create a log on the run time based on an ID/IP, using features provided by the Logback. It saves an ID/IP of the tracking user on a DB, and loads the user's ID/IP onto the memory to trace once WAS starts running. Before the online service operates, an Interceptor is executed to decide whether to load a log file, and then it generates the service requested by a certain user in a separate log file. The load is insignificant since the arithmetic operation occurs in a JVM, although every service must pass through the Interceptor to be executed.

Serial MR Imaging of Magnetically Labeled Humen Umbilical Vein Endothelial Cells in Acute Renal Failure Rat Model (급성 신부전 쥐 모델에서 자기 표지된 인간 제대정맥 내피세포의 연속 자기공명영상)

  • Lee, Sun Joo;Lee, Sang Yong;Kang, Kyung Pyo;Kim, Won;Park, Sung Kwang
    • Investigative Magnetic Resonance Imaging
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    • v.17 no.3
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    • pp.181-191
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    • 2013
  • Purpose : To evaluate the usefulness of in vivo magnetic resonance (MR) imaging for tracking intravenously injected superparamagnetic iron oxide (SPIO)-labeled human umbilical vein endothelial cells (HUVECs) in an acute renal failure (ARF) rat model. Materials and Methods: HUVECs were labeled with SPIO and poly-L-lysine (PLL) complex. Relaxation rates at 1.5-T MR, cell viability, and labeling stability were assessed. HUVECs were injected into the tail vein of ARF rats (labeled cells in 10 rats, unlabeled cells in 2 rats). Follow-up serial $T2^*$-weighted gradient-echo MR imaging was performed at 1, 3, 5 and 7 days after injection, and the MR findings were compared with histologic findings. Results: There was an average of $98.4{\pm}2.4%$ Prussian blue stain-positive cells after labeling with SPIOPLL complex. Relaxation rates ($R2^*$) of all cultured HUVECs at day 3 and 5 were not markedly decreased compared with that at day 1. The stability of SPIO in HUVECs was maintained during the proliferation of HUVECs in culture media. In the presence of left unilateral renal artery ischemia, $T2^*$-weighted MR imaging performed 1 day after the intravenous injection of labeled HUVECs revealed a significant signal intensity (SI) loss exclusively in the left renal outer medulla regions, but not in the right kidney. The MR imaging findings at days 3, 5 and 7 after intravenous injection of HUVECs showed a SI loss in the outer medulla regions of the ischemically injured kidney, but the SI progressively recovered with time and the right kidney did not have a significant change in SI in the same period. Upon histologic analysis, the SI loss on MR images was correspondent to the presence of Prussian blue stained cells, primarily in the renal outer medulla. Conclusion: MR imaging appears to be useful for in vivo monitoring of intravenously injected SPIO-labeled HUVECs in an ischemically injured rat kidney.

A Study on the Effect of Delinquency Rate of Real Estate PF on Macroeconomic Variables (거시경제변수에 따른 부동산PF 연체율에 관한 연구)

  • Roh, Chi-Young;Kim, Hyung-Joo
    • The Journal of the Korea Contents Association
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    • v.18 no.4
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    • pp.416-427
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    • 2018
  • As the loan size of real estate PF is huge, its market ripple effect gets bigger when overdue occurs. Accordingly, the management of the delinquency rate and macroeconomic analysis are required. As the preceding research mainly proceeded with microeconomic analysis through the real estate PF data of individual banks to evaluate importance of list or analyzed core factors for delinquency, it lacked research on comprehensive real estate PF size. In order to overcome the limitations of such data, this research studied real estate PF delinquency rate of the entire market and effect relationship by the size. The research utilized the size of real estate PF loans, money supply, interest rate, consumer price index(CPI), and GDP data. Also, it applied the first model of VECM as linear relationship between at least two or more variables, following the result of co-integration test. As a result of Granger-causality test, the real estate PF loans delinquency rate is influenced by their loan size, and as a result of impulse response analysis, the interest rate is shown to be affecting delinquency rate the most. Interest rate could risesomeday and aggravate the delinquency rate of real estate PF. Also, risk exposure could be serious as the loan size increases.Therefore, the management of real estate PF delinquency rate requires continuous monitoring, tracking and observing issued loans from a macro point of view. The plans to prevent delinquency will be necessary.

Performance Evaluation of PCR Kits for Detecting Genetically Modified Crop Ingredients (유전자 변형 작물 성분 검출용 PCR Kit의 성능 평가 연구)

  • 윤시온;정순천;윤원기;박상규;문제선;이정현;김환묵
    • Toxicological Research
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    • v.20 no.2
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    • pp.101-108
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    • 2004
  • The different social reflections about the benefits and the potential risks of genetically modified (GM) crops have evolved with .different reactions in different countries. Many countries including Korea are working toward setting down new guidelines. Korea requires companies to label all food that contains more than 3% GM ingredients. One of the rapid and convenient detection methods of GM ingredients is amplification of the introduced DNAs by polymerase chain reaction (PCR). Many PCR kits for this purpose are commercially available. The objective of this study was to evaluate performance of commercialized GM crop detection kits. The results showed that 6 out of 15 kits tested did not meet the requirements even purposed by the manufacturers themselves in terms of stability, reproducibility, and detection limits, suggesting a potential quality control problem in their design stage or production line. The evaluation also suggests that, although the duplex and triplex detection kits allowed unambiguous detection in a single PCR reaction, the monoplex detection kits were the most sensitive to the detection of GM ingredients. The detection limits also differ between soybean and corn. Results from this study will be useful in the development of sound qualitative tracking systems of GM ingredients for monitoring throughout the cultivation of GM crops, their trans-boundary movement, and food production using GM grains as well as for complying with government guidelines associated with GM crops.

An Energy Consumption Model using Two-Tier Clustering in Mobile Sensor Networks (모바일 센서 네트워크에서 2계층 클러스터링을 이용한 에너지 소비 모델)

  • Kim, Jin-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.12
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    • pp.9-16
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    • 2016
  • Wireless sensor networks (WSN) are composed of sensor nodes and a base station. The sensor nodes deploy a non-accessible area, receive critical information, and transmit it to the base station. The information received is applied to real-time monitoring, distribution, medical service, etc.. Recently, the WSN was extended to mobile wireless sensor networks (MWSN). The MWSN has been applied to wild animal tracking, marine ecology, etc.. The important issues are mobility and energy consumption in MWSN. Because of the limited energy of the sensor nodes, the energy consumption for data transmission affects the lifetime of the network. Therefore, efficient data transmission from the sensor nodes to the base station is necessary for sensing data. This paper, proposes an energy consumption model using two-tier clustering in mobile sensor networks (TTCM). This method divides the entire network into two layers. The mobility problem was considered, whole energy consumption was decreased and clustering methods of recent researches were analyzed for the proposed energy consumption model. Through analysis and simulation, the proposed TTCM was found to be better than the previous clustering method in mobile sensor networks at point of the network energy efficiency.

Using Trophic State Index (TSI) Values to Draw Inferences Regarding Phytoplankton Limiting Factors and Seston Composition from Routine Water Quality Monitoring Data (영양상태지수 (trophic state index)를 이용한 수체 내 식물플랑크톤 제한요인 및 seston조성의 유추)

  • Havens, Karl E
    • Korean Journal of Ecology and Environment
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    • v.33 no.3 s.91
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    • pp.187-196
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    • 2000
  • This paper describes a simple method that uses differences among Carlson's (1977) trophic state index (TSI) values based on total phosphorus (TP), chlorophyll a (CHL) and Secchi depth (SD) to draw inferences regarding the factors that are limiting to phytoplankton growth and the composition of lake seston. Examples are provided regarding seasonal and spatial patterns in a large subtropical lake (Lake Okeechobee, Florida, USA) and inter- and intra-lake variations from a multilake data set developed from published studies. Once an investigator has collected routine water quality data and established TSI values based on TP, CHL, and SD, a number of inferences can be made. Additional information can be provided where it also is possible to calculate a TSI based on total nitrogen (TN). Where TSI (CHL)<>TSI (SD), light attenuating particles are large (large filaments or colonies of algae), and the phytoplankton may be limited by zooplankton grazing. Other limiting conditions are inferred by different relationships between the TSI values. Results of this study indicate that the analysis is quite robust, and that it generally gives good agreement with conclusions based on more direct methods (e.g., nutrientaddition bioassays, zooplankton size data, zooplankton removal experiments). The TSI approach, when validated periodically with these more costly and time-intensive methods, provides an effective, low cost method for tracking long-term changes in pelagic structure and function with potential value in monitoring lake ecology and responses to management.

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