• Title/Summary/Keyword: different platform

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Development of Path Tracking Algorithm and Variable Look Ahead Distance Algorithm to Improve the Path-Following Performance of Autonomous Tracked Platform for Agriculture (농업용 무한궤도형 자율주행 플랫폼의 경로 추종 및 추종 성능 향상을 위한 가변형 전방 주시거리 알고리즘 개발)

  • Lee, Kyuho;Kim, Bongsang;Choi, Hyohyuk;Moon, Heechang
    • The Journal of Korea Robotics Society
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    • v.17 no.2
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    • pp.142-151
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    • 2022
  • With the advent of the 4th industrial revolution, autonomous driving technology is being commercialized in various industries. However, research on autonomous driving so far has focused on platforms with wheel-type platform. Research on a tracked platform is at a relatively inadequate step. Since the tracked platform has a different driving and steering method from the wheel-type platform, the existing research cannot be applied as it is. Therefore, a path-tracking algorithm suitable for a tracked platform is required. In this paper, we studied a path-tracking algorithm for a tracked platform based on a GPS sensor. The existing Pure Pursuit algorithm was applied in consideration of the characteristics of the tracked platform. And to compensate for "Cutting Corner", which is a disadvantage of the existing Pure Pursuit algorithm, an algorithm that changes the LAD according to the curvature of the path was developed. In the existing pure pursuit algorithm that used a tracked platform to drive a path including a right-angle turn, the RMS path error in the straight section was 0.1034 m and the RMS error in the turning section was measured to be 0.2787 m. On the other hand, in the variable LAD algorithm, the RMS path error in the straight section was 0.0987 m, and the RMS path error in the turning section was measured to be 0.1396 m. In the turning section, the RMS path error was reduced by 48.8971%. The validity of the algorithm was verified by measuring the path error by tracking the path using a tracked robot platform.

Design and Implementation of Data Broadcasting Authoring Tool for Multi-platforms (데이터방송 표준간 호환 가능한 저작도구 설계 및 구현)

  • Lee Cha-Won;Nam Yoon-Seok;Kim Jung-Hwan;Na Hee-Joo;Kim Seong-Won;Jung Moon-Ryul
    • Journal of Broadcast Engineering
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    • v.11 no.3 s.32
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    • pp.349-362
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    • 2006
  • There are several data broadcasting standards that the developers should apply when develops any interactive digital TV contents. In Korea, we adopts ACAP(Advanced Common Application Platform) as terrestrial data broadcasting standard, MHP(Multimedia Home Platform) fur satellite data broadcasting and OCAP(OpenCable Application Platform) for cable data broadcasting. Therefore, content providers must develop different applications which suited for different standards - even if the application is exactly same. This is waste of time and energy. This paper suggests a solution to solve this problem among different broadcasting platforms - MHP, OCAP and ACAP. We compared these specifications, and found out what APIs are typically used far applications. Then we designed XML file structures that can be used to define contents of applications. We also implemented an authoring tool which automatically generates XML files by interaction with users. This paper also ascertains Xlet applications, produced by the authoring tool, works properly on each different data broadcasting standard - MHP, OCAP and ACAP.

Investigation of smart multifunctional optical sensor platform and its application in optical sensor networks

  • Pang, C.;Yu, M.;Gupta, A.K.;Bryden, K.M.
    • Smart Structures and Systems
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    • v.12 no.1
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    • pp.23-39
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    • 2013
  • In this article, a smart multifunctional optical system-on-a-chip (SOC) sensor platform is presented and its application for fiber Bragg grating (FBG) sensor interrogation in optical sensor networks is investigated. The smart SOC sensor platform consists of a superluminescent diode as a broadband source, a tunable microelectromechanical system (MEMS) based Fabry-P$\acute{e}$rot filter, photodetectors, and an integrated microcontroller for data acquisition, processing, and communication. Integrated with a wireless sensor network (WSN) module in a compact package, a smart optical sensor node is developed. The smart multifunctional sensor platform has the capability of interrogating different types of optical fiber sensors, including Fabry-P$\acute{e}$rot sensors and Bragg grating sensors. As a case study, the smart optical sensor platform is demonstrated to interrogate multiplexed FBG strain sensors. A time domain signal processing method is used to obtain the Bragg wavelength shift of two FBG strain sensors through sweeping the MEMS tunable Fabry-P$\acute{e}$rot filter. A tuning range of 46 nm and a tuning speed of 10 Hz are achieved. The smart optical sensor platform will open doors to many applications that require high performance optical WSNs.

A Study of Smoke Exhaust Facility Operation of Subway Platform with Installation of Platform Screen Door (승강장 스크린도어 설치에 따른 배연설비운영에 대한 연구)

  • Rie, Dong-Ho;Ko, Jae-Woong;Kim, Ha-Young
    • Journal of the Korean Society of Safety
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    • v.21 no.1 s.73
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    • pp.35-40
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    • 2006
  • A study on fire phenomena in a subway transit mass station has been carried out as a part of disaster prevention plan at the subway station. The ventilation facilities installed in both the platform and the trackway are designed to convert into a smoke exhaust system in emergency situation, creating such an environment as necessary for evacuation. 3 dimensional Numerical Simulations based on the CFD are carried out using a simulation tool, Fire Dynamic Simulator. Additionally, four different vent modes are made and performances are compared with the original design mode and each other to find better operation of vents at both the platform and the trackway in case of fire. From the result, an vent operational characteristics under the condition of installed PSD is clarified for the effective smoke and heat removal from the platform area compared with non installed PSD.

Understanding G.A.R.L.I.C.s.: An Innopreneurship Platform for Smart Cities

  • Narasimhalu, Arcot Desai
    • World Technopolis Review
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    • v.8 no.1
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    • pp.8-20
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    • 2019
  • The intent of this paper is to identify key actors of a sustainable Smart City and define metrics that will allow assessment and better management of Sustainable Smart Cities. The paper is organized in two major segments. The first segment reviews the definition, six components, six action items of Smart Cities. It describes briefly a sample Smart City project and presents a selection of different dimensions along which Smart Cities are ranked and the rankings. The segment also discusses the technology architecture of a Smart City and then examines the definition and components of an innovation platform. The second presents the original contributions of the paper. It first introduces the dynamics created seven key actors of a Smart City ecosystem and describes their existing and potential contributions. It then defines Innopreneurship platform and presents a triple bottom line based quality metric to evaluate such a platform. This segment also discusses reengineering an economy and suggests a Smart City's Innovation Platform Score. The actions to be taken by the key actors of a Smart City in order to make it a Sustainable Smart City are described in several subsections. We hope these concepts and metrics will be a good starting point and will be refined over time by others.

Black Ice Detection Platform and Its Evaluation using Jetson Nano Devices based on Convolutional Neural Network (CNN)

  • Sun-Kyoung KANG;Yeonwoo LEE
    • Korean Journal of Artificial Intelligence
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    • v.11 no.4
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    • pp.1-8
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    • 2023
  • In this paper, we propose a black ice detection platform framework using Convolutional Neural Networks (CNNs). To overcome black ice problem, we introduce a real-time based early warning platform using CNN-based architecture, and furthermore, in order to enhance the accuracy of black ice detection, we apply a multi-scale dilation convolution feature fusion (MsDC-FF) technique. Then, we establish a specialized experimental platform by using a comprehensive dataset of thermal road black ice images for a training and evaluation purpose. Experimental results of a real-time black ice detection platform show the better performance of our proposed network model compared to conventional image segmentation models. Our proposed platform have achieved real-time segmentation of road black ice areas by deploying a road black ice area segmentation network on the edge device Jetson Nano devices. This approach in parallel using multi-scale dilated convolutions with different dilation rates had faster segmentation speeds due to its smaller model parameters. The proposed MsCD-FF Net(2) model had the fastest segmentation speed at 5.53 frame per second (FPS). Thereby encouraging safe driving for motorists and providing decision support for road surface management in the road traffic monitoring department.

Fully Adaptive Feedforward Feedback Synchronized Tracking Control for Stewart Platform Systems

  • Zhao, Dongya;Li, Shaoyuan;Gao, Feng
    • International Journal of Control, Automation, and Systems
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    • v.6 no.5
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    • pp.689-701
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    • 2008
  • In this paper, a fully adaptive feedforward feedback synchronized tracking control approach is developed for precision tracking control of 6 degree of freedom (6DOF) Stewart Platform. The proposed controller is designed in decentralized form for implementation simplicity. Interconnections among different subsystems and gravity effect are eliminated by the feedforward control action. Feedback control action guarantees the stability of the system. The gains of the proposed controller can be updated on line without requiring any prior knowledge of Stewart Platform manipulator. Thus the control approach is claimed to be fully adaptive. By employing cross-coupling error technology, the proposed approach can guarantee both of position error and synchronization error converge to zero asymptotically. Because the actuators work in synchronous manner, the tracking performances are improved. The corresponding stability analysis is also presented in this paper. Finally, simulation is demonstrated to verify the effectiveness of the proposed approach.

Analysis of Verification Methodologies Based on a SoC Platform Design

  • Lee, Je-Hoon;Kim, Sang-Choon
    • International Journal of Contents
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    • v.7 no.1
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    • pp.23-28
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    • 2011
  • In a SoC (system-on-chip) design, a design complexity is a big bottleneck. In order to overcome the design complexity, platform based design method is widely adopted for designers. Most complex SoCs need a heterogeneous design development environment for hardware and software co-design. In this paper, we discuss about some kinds of verification approaches with platform based design methodology at various abstraction levels of SoC design. We separate the verification process to two steps according to the different levels of verification. We employ a flexible SoC design environment to support simultaneous hardware and software development. We demonstrate the verification strategy of a target SoC design, IEEE 802.11a WLAN SoC.

Design of Social Learning Platform for Collaborative Study (협력학습을 위한 소셜러닝 플랫폼의 설계)

  • Cho, Byung-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.5
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    • pp.189-194
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    • 2013
  • Social learning is a new study model of future knowledge information society. In different existing study, it lay stress on individual activity and collaborative study with others. It is useful to apply social media services to build social learning platform for collaborative study. In my paper, after existing social media services and social platforms are investigated and analyzed, an effective social learning platform applyng social media services is presented. Also differences and superiority compared to other social platforms is presented through new social learning platform architecture and screen design.

Platform Business and Value Creation: Using Public Open Data (플랫폼 비즈니스와 가치 창출: 개방형 공공데이터 활용)

  • Han, Junghee
    • Knowledge Management Research
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    • v.20 no.1
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    • pp.155-174
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    • 2019
  • Variety of data have been opened or connected by several levels of government. In smart city initiatives, open data become the source of a new business model. This paper is to foster ways of public open data (POD) by analyzing the start-up company that utilizes POD. In order to fulfill it, this paper adapts the case study research. Findings say that POD has potential to validate and further enrich the platform business. But to find which types of public open data are most prevalent is insufficient. To do this, it is more needed that sophisticated and many cases should be examined. However, this paper shows that platform business by using POD could lead to reduce the cost and increase the benefits for both providers and customers. From the findings, this paper shows that public open data has an important role not only to boost new venture creations which are prevalent ways of smart city but also to foster different platforms enabling new value capture and creation according to development of internet of things based on ICT technology.