• Title/Summary/Keyword: module selection

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Improvement of TDOA-Based Localization Method for Port Logistics Environment (항만 물류 환경을 위한 TDOA 기반 측위 기법의 개선)

  • Choi, Hoon;Ji, Dong-Hwan;Baek, Yun-Ju
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.2B
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    • pp.99-106
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    • 2009
  • The tracking information of objects or persons plays the important role for being advanced of the technology in the logistics management or processing. In this paper, we propose the TDOA-based localization method for port logistics environment for obtaining accurate location of a tag which is attached to some objects or persons. The proposed method consists of these modules for precision : An adaptive selection module of base reader, 2.5D locating method and position-restriction method using a map. This paper includes the performance evaluation of those methods. We could see the improved performance in the simulation. And we also implemented the system and achieved the accuracy of DRMS and CEP within 4 meters.

A Design Procedure for Safety Simulation System Using Virtual Reality

  • Jae-seug Ki
    • Proceedings of the Safety Management and Science Conference
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    • 1999.11a
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    • pp.381-389
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    • 1999
  • One of the objectives of any task design is to provide a safe and helpful workplace for the employees. The safety and health module may include means for confronting the design with safety and health regulations and standards as well as tools for obstacles and collisions detection (such as error models and simulators). Virtual Reality is a leading edge technology which has only very recently become available on platforms and at prices accessible to the majority of simulation engineers. The design of an automated manufacturing system is a complicated, multidisciplinary task that requires involvement of several specialists. In this paper, a design procedure that facilitates the safety and ergonomic considerations of an automated manufacturing system are described. The procedure consists of the following major steps: Data collection and analysis of the data, creation of a three-dimensional simulation model of the work environment, simulation for safety analysis and risk assessment, development of safety solutions, selection of the preferred solutions, implementation of the selected solutions, reporting, and training When improving the safety of an existing system the three-dimensional simulation model helps the designer to perceive the work from operators point of view objectively and safely without the exposure to hazards of the actual system.

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Analysis of Cooling Characteristics according to Heating Reduction System Displacement of Major Heating Region on Power Inverter (전력 역변환장치 주요발열부의 열 저감 시스템 변위에 따른 냉각 특성해석)

  • Kim, Min-Seok;Kim, Yong-Jae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.2
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    • pp.261-266
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    • 2015
  • Power system for renewable energy is composed of module, transform DC power into AC power inverter, control power flow and device for a charge of the grid-connected. Power system for renewable energy produce the most DC power, when this system is much insolation in summer and daytime. But if the certain temperature rises above, the essential grid-connected power inverter is take a nose dive. There, in this paper, we propose an improved reduction of heating system. In addition, selection of the most serious heat region and through analysis of temperature characteristics according to location and distance derive the optimal model.

Development of the Priority Decision System for Redevelopment of Agricultural Reservoir (농업용저수지 재개발 우선순위 산정시스템 개발)

  • Kim, Hae-Do;Kim, Sun-Joo;Kim, Phil-Shik
    • Journal of The Korean Society of Agricultural Engineers
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    • v.53 no.2
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    • pp.45-52
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    • 2011
  • This study is to develop a Priority Decision System for Redevelopment (PDSR) which is able to decide the priority for redevelopment of agricultural reservoirs. The major scopes of this research are to make the related GIS data like hydrologic unit map and other thematic maps to determine the suggested priority index (PI), and to develop the PDSR handling the GIS data and calculating weighing factors for the PI. In order to make the weighing factor decision module, the AHP technique was adopted. The result of the weighing factor calculation was showed PC (Possibility Criteria) and RC (Restriction Criteria) were 76% and 24% respectively. Which means that most of the specialist selected PC category prior to RC because of whom to mostly of major technique. So, in order to make more objective result, the selection of specialists is important like environmental activists or local residents and so on. The product from this research can provide more scientific support to decide the priority decision.

Design and Implementation of the SMIL Authoring Tool (SMIL(Synchronized Multimedia Integration Language) 전용 저작도구의 설계 및 구현)

  • Shin, Dong-Kyoo;Shin, Dong-Il;Kim, Se-Young
    • The KIPS Transactions:PartB
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    • v.10B no.1
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    • pp.103-110
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    • 2003
  • SMIL is a declarative markup language based on XML, which enables users to make effective multimedia presentations on the web by synchronizing media objects. In this paper, we design and implement a SMIL authoring tool which support Intuitive creation of web multimedia documents and diverse practical use of created information. Besides, creation, management and authoring module of SMIL document, it offers template interface depending on network bandwidth selection for general users to create multimedia presentation a convenient way. In addition, we implement SMIL document management facility for a large number of users, by connecting SMIL contents database sever.

Generation of Locomotion for Snake-like Robot using Genetic Algorithm and Analysis for Selections of Partial Modules (유전알고리즘을 사용한 뱀형 로봇의 이동 생성 및 부분모듈 선택 분석)

  • Ahn, Ihn-Seok;Jang, Jae-Young;Seo, Ki-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.5
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    • pp.661-666
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    • 2009
  • Modular snake-like robots, which consist of series of modules, are robust for failure and have flexible locomotions for environment. However, they are difficult to control and few efficient and various locomotions are introduced yet. In this paper, GA based phase generation and trajectory generation approaches are implemented and compared for locomotion of snake-like robots and extended for analysis for selections of partial modules. In addition, modeling and simulation environments are implemented in Webots simulator and above GA based experiments for locomotion are executed for KMC snake-like robot.

CNN-based Visual/Auditory Feature Fusion Method with Frame Selection for Classifying Video Events

  • Choe, Giseok;Lee, Seungbin;Nang, Jongho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1689-1701
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    • 2019
  • In recent years, personal videos have been shared online due to the popular uses of portable devices, such as smartphones and action cameras. A recent report predicted that 80% of the Internet traffic will be video content by the year 2021. Several studies have been conducted on the detection of main video events to manage a large scale of videos. These studies show fairly good performance in certain genres. However, the methods used in previous studies have difficulty in detecting events of personal video. This is because the characteristics and genres of personal videos vary widely. In a research, we found that adding a dataset with the right perspective in the study improved performance. It has also been shown that performance improves depending on how you extract keyframes from the video. we selected frame segments that can represent video considering the characteristics of this personal video. In each frame segment, object, location, food and audio features were extracted, and representative vectors were generated through a CNN-based recurrent model and a fusion module. The proposed method showed mAP 78.4% performance through experiments using LSVC data.

One-step deep learning-based method for pixel-level detection of fine cracks in steel girder images

  • Li, Zhihang;Huang, Mengqi;Ji, Pengxuan;Zhu, Huamei;Zhang, Qianbing
    • Smart Structures and Systems
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    • v.29 no.1
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    • pp.153-166
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    • 2022
  • Identifying fine cracks in steel bridge facilities is a challenging task of structural health monitoring (SHM). This study proposed an end-to-end crack image segmentation framework based on a one-step Convolutional Neural Network (CNN) for pixel-level object recognition with high accuracy. To particularly address the challenges arising from small object detection in complex background, efforts were made in loss function selection aiming at sample imbalance and module modification in order to improve the generalization ability on complicated images. Specifically, loss functions were compared among alternatives including the Binary Cross Entropy (BCE), Focal, Tversky and Dice loss, with the last three specialized for biased sample distribution. Structural modifications with dilated convolution, Spatial Pyramid Pooling (SPP) and Feature Pyramid Network (FPN) were also performed to form a new backbone termed CrackDet. Models of various loss functions and feature extraction modules were trained on crack images and tested on full-scale images collected on steel box girders. The CNN model incorporated the classic U-Net as its backbone, and Dice loss as its loss function achieved the highest mean Intersection-over-Union (mIoU) of 0.7571 on full-scale pictures. In contrast, the best performance on cropped crack images was achieved by integrating CrackDet with Dice loss at a mIoU of 0.7670.

Design and Implementation of Green Coastal Lighting System for Entrance to Coastal Pier

  • Jae-Kyung Lee;Jae-Hong Yim
    • Journal of Navigation and Port Research
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    • v.47 no.2
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    • pp.85-92
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    • 2023
  • The hardware of an LED lighting control system for coastal lighting at coastal pier entrance consists of a power supply unit, an AVR control unit, a CLCD output unit, an LED control unit, a scenario selection switch unit, and an operation speed display unit. It is made of an 8-channel. The CPU used ATmega128 and the FET was used to control the current signal. To operate the CPU, DC 12V was converted to DC 5V using a regulator 7805. A heat sink was used to remove heat generated in the FET. By connecting the load LED module to the manufactured 8-channel LED lighting control system, the operation was confirmed through various production scenarios. In addition, a control system was designed to show the most suitable color for the atmosphere of the coastal pier according to the input value of temperature and illumination using a fuzzy control system. Computer simulation was then conducted. Results confirmed that fuzzy control did not need to store many data inputs due to characteristics of artificial intelligence and that it could efficiently represent many output values with simple fuzzy rules.

A Study on the Implementation of Digital Filters with Reduced Memory Space and Dual Impulse Response Types (기억용량 절약과 순회방식 선택이 가능한 디지털 필터의 구성에 관한 연구)

  • Park, In Jung;Rhee, Tae Won
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.23 no.6
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    • pp.950-956
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    • 1986
  • In this paper, a direct addressing mode of a microprocessor is introduced to save memory capacity, and also a dedicated digital filter is constructed to speed up the filter processing and to enable an easy selection of the impulse response types. A theoretical analysis has been conducted on the errors caused by the finite word klength, rounding-off and multiplication procedures. The digital filter designed by the proposed method is made into a module which can function as a 7th-order recursive or a 14-order nonrecursive type with a simples witch operation. The proposed filter is implemented on a printed-circuit board. The frequency characteristics of this filter can be controlled by the multiplication values stored in ROMs. A low-pass, a high-pass and a band-pass filter have been designed and their frequency characteristics are verified by actual measurements. For a order higher filer, two filter modules have been cascaded into an integrated filter of 23rd-order non-recursive low-pass type and a 12th-order recursive multiband type. Their frequency characteirstics have been found to agree with the theory.

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