• Title/Summary/Keyword: 6-Layer Format

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Study on the Operational Test Scenarios for Assessment of Unmanned Ground Vehicle's Operation Suitability (UGV의 운용적합성 평가를 위한 운용 시험 시나리오 연구)

  • Gyumin Kang;Kyungsu Yi
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.4
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    • pp.6-15
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    • 2023
  • This paper develops scenarios to evaluate the safety performance of Unmanned Ground Vehicle on military circumstances. The scenarios were created using Pegasus Project 6-layer format. These scenarios consist of straight road, curved road, merging road and crossroad. We adapt these scenarios to unpaved road. The characteristics of unpaved roads were divided into roughness, friction coefficient and road frequency. This adaption is validated via computer simulation. We observe the scan lines of vehicle become tangled of the straight road that make the cognitive abilities of the vehicle low and the lane-keeping is unable when vehicles entering curved off-roads over 40 km/h. The developed scenarios will contribute to enhancing stability from the perspective of introducing autonomous driving technology to Korean military.

CHROMA FORMAT SCALABLE VIDEO CODING

  • Jia, Jie;Kim, Hae-Kwang;Choi, Hae-Chul
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.23-27
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    • 2009
  • A scalable video coding (SVC) extension to the H.264/AVC standard has been developed by the Joint Video Team (JVT). SVC provides spatial, temporal and quality scalability with high coding efficiency and low complexity. SVC is now developing the extension of the first version including color format scalability. The paper proposes to remove some luminance related header and luminance coefficients when an enhancement layer adds only additional color information to its lower layer. Experimental results shows 0.6 dB PSNR gain on average in coding efficiency compared with an approach using the existing SVC standard.

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GML Map Visualization on Mobile Devices

  • Song, Eun-Ha;Jeong, Young-Sik
    • Journal of Information Processing Systems
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    • v.6 no.1
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    • pp.33-42
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    • 2010
  • GIS can only be applied to certain areas by storing format. It is subordinate to a system when displaying geographic information data. It is therefore inevitable for GIS to use GML that supports efficient usage of various geographic information data and interoperability for integration and sharing. The paper constructs VisualGML that translates currently-used geographic information such as DXF (Drawing Exchange Format), DWG (DraWinG), or SHP (Shapefile) into GML format for visualization. VisualGML constructs an integrated map pre-process module, which filters geographic information data according to its tag and properties, to provide the flexibility of a mobile device. VisualGML also provides two major GIS services for the user and administrator. It can enable visualizing location search. This is applied with a 3-Layer POI structure for the user. It has trace monitoring visualization through moving information of mobile devices for the administrator.

A Study on Performance Analysis Layer of Parallel Program Performance Monitoring Tool (병렬 프로그램 성능 감시 도구의 성능 분석층에 관한 연구)

  • Kim, Byeong-Gi;Ma, Dae-Seong
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.5
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    • pp.1263-1271
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    • 1999
  • This paper designs the performance analysis layer for the various performance analysis of parallel programs using event expressions are similar to the normal program language to analyze the events which display a dynamic state exchange of a program. The event expressions suggest operations for overloading and functions which are needed in performance analysis, such as a filtering operation, data format translation functions, performance analysis, static functions, and etc. By using the event expressions, the programmer can modify the event trace data to analyze the performance and analyze more easily and variously than the pre-developed tools.

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Improved Convolutional Neural Network Based Cooperative Spectrum Sensing For Cognitive Radio

  • Uppala, Appala Raju;Narasimhulu C, Venkata;Prasad K, Satya
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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    • pp.2128-2147
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    • 2021
  • Cognitive radio systems are being implemented recently to tackle spectrum underutilization problems and aid efficient data traffic. Spectrum sensing is the crucial step in cognitive applications in which cognitive user detects the presence of primary user (PU) in a particular channel thereby switching to another channel for continuous transmission. In cognitive radio systems, the capacity to precisely identify the primary user's signal is essential to secondary user so as to use idle licensed spectrum. Based on the inherent capability, a new spectrum sensing technique is proposed in this paper to identify all types of primary user signals in a cognitive radio condition. Hence, a spectrum sensing algorithm using improved convolutional neural network and long short-term memory (CNN-LSTM) is presented. The principle used in our approach is simulated annealing that discovers reasonable number of neurons for each layer of a completely associated deep neural network to tackle the streamlining issue. The probability of detection is considered as the determining parameter to find the efficiency of the proposed algorithm. Experiments are carried under different signal to noise ratio to indicate better performance of the proposed algorithm. The PU signal will have an associated modulation format and hence identifying the presence of a modulation format itself establishes the presence of PU signal.

Enhancing cloud computing security: A hybrid machine learning approach for detecting malicious nano-structures behavior

  • Xu Guo;T.T. Murmy
    • Advances in nano research
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    • v.15 no.6
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    • pp.513-520
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    • 2023
  • The exponential proliferation of cutting-edge computing technologies has spurred organizations to outsource their data and computational needs. In the realm of cloud-based computing environments, ensuring robust security, encompassing principles such as confidentiality, availability, and integrity, stands as an overarching imperative. Elevating security measures beyond conventional strategies hinges on a profound comprehension of malware's multifaceted behavioral landscape. This paper presents an innovative paradigm aimed at empowering cloud service providers to adeptly model user behaviors. Our approach harnesses the power of a Particle Swarm Optimization-based Probabilistic Neural Network (PSO-PNN) for detection and recognition processes. Within the initial recognition module, user behaviors are translated into a comprehensible format, and the identification of malicious nano-structures behaviors is orchestrated through a multi-layer neural network. Leveraging the UNSW-NB15 dataset, we meticulously validate our approach, effectively characterizing diverse manifestations of malicious nano-structures behaviors exhibited by users. The experimental results unequivocally underscore the promise of our method in fortifying security monitoring and the discernment of malicious nano-structures behaviors.

Horizontal Protocol Processing Architecture for High Performance Parallel Processing (고성능 병렬 처리를 위한 수평적인 프로토콜 처리 구조)

  • Kim, Pyeong-Jung;Park, Chi-Hang
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.6
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    • pp.1386-1396
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    • 1996
  • In the distributed multimedia application, high throughput and low delay is one of the most important QoS(Quality of Service) requirement. Emerging high speed communication offers transmission rate above Gbps, but it can not be utilized efficiently by the performance bottlenecks of communication protocols. To overcom the problem, we propose a horizontal processing architecture that processes data as soon as it arrive from the network. Unfortunately, the OSI protocol stack often imposes ordering constraints that prevent concurrent processing of the protocol layers. By using a fixed packet format, the network layer through the presentation layer are processed in parallel. Our prototype shows that the proposed model has performance improvement up to 61% more advantage than the conventional approach.

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An RP Data Exchange Model Based on STEP (STEP을 이용한 신속조형용 설계정보 변환체계)

  • 이병열;지해성
    • Korean Journal of Computational Design and Engineering
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    • v.6 no.1
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    • pp.48-58
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    • 2001
  • One of the biggest problems of rapid prototyping(RP) technologies lies in their standard file format for CAD data exchange. Current methods using the de facto industry standard 'STL'have at times resulted in problems such as accuracy, redundancy, and integrity. In this paper we propose a STEP based data exchange framework for rapid prototyping systems. In this paradigm of data exchange, STEP models can be imported and converted into faceted B-rep. solid models for visualization and 2-D layer data for RP. Also an STL model, on the other hand, can be converted into a faceted B-rep. STEP model and exported as a new data exchange model with RP information.

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Development of Embedded Network Processor (임베디드 네트웍용 프로세서 개발)

  • 유문종;최종운
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.5 no.6
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    • pp.1078-1082
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    • 2001
  • This is an example of ABSTRACT format. We made a HTTP server using 8 bit microprocessor It was TMP84c015 which applied a z80 core and RTL8019AS was installed for an ethernet physical layer. Assembly language was used to optimized a performance of the MPU, to overcome an restriction of memory sire and to maximize the throughput of packet using TCP, UDP, IP, ICMP, ARP protocol. We used LabVIEW to verify the each protocol on the client side.

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Evaluation of Internal Resistance in Asphalt Concretes

  • Zandi, Yousef;Akpinar, Muhammet Vefa
    • International Journal of Concrete Structures and Materials
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    • v.6 no.4
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    • pp.247-250
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    • 2012
  • Composites are somewhat more difficult to model than an isotropic material such as iron or steel due to the fact that each layer may have different orthotropic material properties. In finite element literature the asphalt mixes are represented by using rectangular meshes, not the actual picture of their cross-sections. Asphalt aggregate size and distribution in the asphalt concrete sample, aggregate shape, and fractured surface effects are ignored. In this research, the actual image of the sample including all these effects were directly considered in the finite element. The samples, were cut into cross-sections and were scanned. The image-processing toolbox of Labview was utilized in obtaining the rectangular gray images of the scanned images. In the rectangular sample the aggregates were white and the asphalt binders were black. The grayscale images were converted by LABVIEW into the format required by ANSYS as an input file, with the same dimensions. The nodes at the bottom of the model were constrained in both x and y directions. Left and right edges were symmetry and top was free. Certain amount of pressure was applied along the top surface to simulate the tire pressure.