• Title/Summary/Keyword: Digital Indicator

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The Impact of Assorting Performance by the Number of Aisles in Put to Light System (Put to Light 시스템의 통로 수가 분류 생산성에 미치는 영향)

  • Yu, Gang-Cheol;Yang, Gwang-Mo;Gang, Gyeong-Sik
    • Proceedings of the Safety Management and Science Conference
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    • 2011.04a
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    • pp.229-242
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    • 2011
  • The assorting process in distribution center is one of the most difficult and time-consuming process. The improvement of assorting productivity is a core element which decides efficiency of a distribution center. The time to shipping from receiving depends on assorting such as sorting by customer. To enhance efficiency of assorting typically uses the put to light system composed of computer and digital indicator etc. Generally the layout of put to light system has been performed rather than scientific analysis by a common experience. Therefore, this study analyzes the impact of assorting performance by the number of aisle in assorting process of put to light system.

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Implementation of Novel Automatic Gain Control in Vehicular Environments (차량통신환경에서의 자동이득제어기법 적용)

  • Cho, Woong;Oh, Hyun-Seo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.10 no.4
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    • pp.100-106
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    • 2011
  • Radio Frequency (RF) signal fluctuates dynamically in wireless communication environments, where this fluctuation is severe especially in vehicular environments. Automatic Gain Control (AGC) is critical in wireless communications to establish reliable communication links and compensate the received signal fluctuation. In this paper, we introduce a simple and novel AGC scheme which uses both Received Signal Strength Indicator (RSSI) and analog-to digital converter (ADC) signals. Performance enhancement of the proposed AGC scheme is verified with practical measurements including simulations.

Observation of Water Volume Changes of Rivers in Amazon Forests from Multi-temporal JERS-1 SAR Images

  • Takako, Sakurai-Amano;Takagi, Mikio
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.454-459
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    • 2002
  • We have developed a new method to visualize river networks in tropical rain forests from JERS-1 SAR images. This method compresses river information in an original SAR image to a small image displaying wide rivers as dark objects in real size and narrower rivers as bright objects showing brightness level as an indicator of the discharge. We applied this method to 476 images of Amazon forests, 13 observations for path 415 data and 11 observations for path 416 data between 1993 and 1997. We confirmed that a change observed in a preliminary experiment was certainly a part of seasonal changes. The changes roughly correspond to the monthly precipitation changes. Through a simple digital analysis although qualitative, we also detected subtle but consistent regional differences among minor tributaries that belong to a major tributary basin.

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P Wave Detection based on QRST Cancellation Zero-One Substitution

  • Cho, Ik-Sung
    • Journal of information and communication convergence engineering
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    • v.19 no.2
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    • pp.93-101
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    • 2021
  • Cardiac arrhythmias are common heart diseases and generally cause sudden cardiac death. Electrocardiogram (ECG) is an effective tool that can reveal the electrical activity of the heart and diagnose cardiac arrhythmias. We propose detection of P waves based on QRST cancellation zero-one substitution. After preprocessing, the QRST segment is determined by detecting the Q wave start point and T wave end point separately. The Q wave start point is detected by digital analyses of the QRS complex width, and the T wave end point is detected by computation of an indicator related to the area covered by the T wave curve. Then, we determine whether the sampled value of the signal is in the interval of the QRST segment and substitute zero or one for the value to cancel the QRST segment. Finally, the maximum amplitude is selected as the peak of the P wave in each RR interval of the residual signal. The average detection rate for the QT database was 97.67%.

A Study on the Verification of Traffic Flow and Traffic Accident Cognitive Function for Road Traffic Situation Cognitive System

  • Am-suk, Oh
    • Journal of information and communication convergence engineering
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    • v.20 no.4
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    • pp.273-279
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    • 2022
  • Owing to the need to establish a cooperative-intelligent transport system (C-ITS) environment in the transportation sector locally and abroad, various research and development efforts such as high-tech road infrastructure, connection technology between road components, and traffic information systems are currently underway. However, the current central control center-oriented information collection and provision service structure and the insufficient road infrastructure limit the realization of the C-ITS, which requires a diversity of traffic information, real-time data, advanced traffic safety management, and transportation convenience services. In this study, a network construction method based on the existing received signal strength indicator (RSSI) selected as a comparison target, and the experimental target and the proposed intelligent edge network compared and analyzed. The result of the analysis showed that the data transmission rate in the intelligent edge network was 97.48%, the data transmission time was 215 ms, and the recovery time of network failure was 49,983 ms.

Implementation of Smart Monitoring System based on Breathing Sensor

  • Cha, jin-gil;Kim, Seong-Kweon
    • International journal of advanced smart convergence
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    • v.11 no.3
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    • pp.36-41
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    • 2022
  • In the 21st century, information collection and information provision based on digital informatization and intelligent automation are emerging as one of the social problems in the society for the elderly and the vulnerable groups in the welfare society including the disabled, and various methods are being studied to find realistic alternatives. Among these factors, the problem of the elderly living alone is emerging as the most serious, and as a realistic approach to solve some problems by applying information devices, it is a monitoring system using the Internet of Things(IoT). The need for an optimized system is emerging. In this study, the state of the elderly and the elderly living alone can be measured remotely by applying IoT technology. We present the research cases of a Breathing Sensor-based Smart Monitoring System that is used as a smart information system and used as a monitoring system for the elderly and infirm when it is identified as deceased through state detection

Development of Construction Performance Indicators Using Artificial Neural Network and Discrete Construction Simulation for Earthmoving Operation (토공사 공정관리를 위한 이산형 건설시뮬레이션과 인공신경망 기반 건설성능지표 도출 방법론)

  • Jung, Dahyun;Park, Seongbong;Lee, Sumin;Han, Seungwoo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2021.11a
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    • pp.10-11
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    • 2021
  • Demands for digital transformation of the construction industry are increasing to improve the accuracy of the construction operation planning and the performance of the construction operation. Even though large number of studies are being conducted to this date, most of the studies are not likely to be available on the real sites. Therefore, this study provides construction managers with a methodology of drawing construction performance indicators based on productivity analysis using Artificial Neural Network (ANN) models and Web-CYCLONE. This methodology is expected to have high utilization and precision of construction operation planning and management.

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ODFM-Based Adaptive Channel Estimation Algorithms for IEEE 802.11ad WLAN

  • Nguyen-Thi, My-Kieu;Kim, Jinsang;Lee, Seungjoo
    • Journal of Advanced Information Technology and Convergence
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    • v.6 no.1
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    • pp.45-57
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    • 2016
  • This paper proposes an adaptive channel estimation scheme for OFDM-based IEEE 802.11ad wireless local area network (WLAN). The standard supports two types of information of OFDM packets for estimating the communication channels, which are the channel estimation field (CEF) of preamble and pilot subcarriers. The CEF-based channel estimation provides better BER (bit error rate) performance at slow fading channel state, whereas the pilot-based channel estimation is good at fast fading channel state. Hence, a combined channel estimation method is introduced to improve the performance. The prediction of the channel state to select the proper channel estimation method is required. In this work, an adaptive channel estimation scheme is also proposed to improve the performance of channel estimation (CE). Basing on a channel quality indicator (CQI), the proper channel estimation method corresponding to the channel type is decided.

Sharpness Enhancement of Tooth X-ray Images Through Elimination of Complicated Background (복잡한 배경 제거를 통한 치아 X-ray 영상의 선예도 개선)

  • Kun-Woo Na;Keun-Ho Rew
    • Journal of Information Technology Applications and Management
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    • v.30 no.1
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    • pp.11-19
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    • 2023
  • To remove unnecessary background from tooth X-ray images and enhance the sharpness of tooth and gum images, image processing techniques including contrast adjustment and histogram equalization are used. The introduction of two methods for detecting the boundary of the tooth and gum region and separating the tooth and gum from the background. In both cases, the background of the tooth X-ray images could be removed as a result, improving the quality of the images. The proposed method improves MTF (Modulation Transfer Function), an image performance indicator, as a result of measuring MTF. The original image's spatial frequency ranged from 4.73 to 11.40 lp/mm at the 10% response, whereas the proposed image's spatial frequency ranged from 10.90 to 11.85 lp/mm, giving uniformly enhanced results. In contrast, tooth and gums could not be completely separated from the background using Apple's Lift subject from background function.

Developing Digital Library Collection Using Citation and Homepage Information (인용정보와 연구자 홈페이지를 이용한 디지털 도서관 장서개발 방안 연구)

  • Lee, Jee-Yeon
    • Journal of the Korean Society for information Management
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    • v.24 no.1 s.63
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    • pp.301-319
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    • 2007
  • Nowadays the information environment enables users to access the traditional library collection as well as various digital information resources. In this rapidly changing environment, the use of digital information resources such as web sites, data, and homepages has increased. In this research, highly-cited authors' research outcomes as well as the research outcomes of the people, who cited the highly-cited authors' works, were extracted then compared with information stored in the medical colleges' digital libraries and the academic information portals in the clinical medicine area by using the citation information provided by Essential Science Indicators from ISI Web of knowledge. Out of 10,000 authors,146 people's homepages, which present research outcomes, were analyzed. The research outcomes listed in the homepages included journal papers, monographs, conference proceedings, and lecture notes. About 15% of the journal papers, 32% of the monographs, 48% of the conference proceedings, and 100% of lecture notes were accessible only through the homepages. The research outcomes accessible from the homepages were almost analogous to the ones available through the medical college's digital libraries and the academic information portals. Therefore, the digital library collection will be improved and expanded quantitatively and qualitatively by collecting and using the information in the homepages of the prestigious researchers.