• 제목/요약/키워드: Software Engineering Level

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센서 네트워크 환경에서 다양한 운영체제 플랫폼을 위한 노드 소프트웨어의 효율적인 개발을 지원하는 도구 (A Tool to Support Efficient Development of Node Software for Various Operating System Platforms in Sensor Network Environment)

  • 이우진;최일우
    • 한국산학기술학회논문지
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    • 제15권7호
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    • pp.4536-4544
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    • 2014
  • 본 논문에서는 센서 네트워크에서 다양한 운영체제 플랫폼을 위한 노드 소프트웨어를 효율적으로 개발하기 위한 개발 도구를 제안한다. 제안하는 도구는 그래픽 모델 다이어그램 작성, PIM 및 PSM 설계, 코드 자동 생성, 배포 파일 자동 생성 등을 위한 모듈로 구성된다. 제안하는 도구를 통하여 사용자들이 전체적인 센서 네트워크 모델을 작성하고, 속성값을 설정함으로써 각 노드 소프트웨어에 대한 PIM과 타겟 플랫폼에 대한 PSM을 설계하면, PSM에 대한 정보와 타겟 플랫폼에 대한 코드 템플릿을 바탕으로 소스코드가 자동으로 생성된다. 그리고, 응용 소프트웨어 코드를 바탕으로 각 노드에 설치할 수 있는 배포파일을 자동으로 생성할 수 있다. 제안하는 도구는 사용자들이 센서 네트워크에 대한 low-level의 정보를 상세히 알지 못하더라도 손쉽게 다양한 플랫폼에 대한 노드 소프트웨어를 생성할 수 있도록 해준다.

스마트 로봇을 활용한 창의적 RSPM 공학 교육 및 NCS 직무 교육 효과 분석에 관한 연구 (The Study On Creative RSPM(Robot Based Software Programming Method) Engineering Education And NCS Training Effectiveness Analysis Using Smart Robot)

  • 이병선
    • 전자공학회논문지
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    • 제53권8호
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    • pp.136-144
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    • 2016
  • 일반적으로 임베디드 소프트웨어 교육을 위해 다양한 교구와 학습 방법이 개발 및 활용이 되고 있다. 본 논문에서는 임베디드 소프트웨어 공학교육에서 요구되고 있는 창의적 문제해결 방법을 학습하기 위하여 스마트 로봇을 활용하고자 한다. 스마트 로봇을 사용한 창의적 공학교육으로 그 NCS 직무교육 효과를 분석하고 임베디드 소프트웨어교육 향상을 위하여 RSPM(Robot Based Software Programming Method) 공학교육 방법에 대해 제시한다. 임베디드 소프트웨어 공학교육에서 좀 더 창의적이고 소프트웨어 코딩 능력향상을 위해 스마트 로봇인 EV3 시스템을 활용하였다. 본 논문에서는 임베디드 소프트웨어 공학교육에 미치는 정도, 흥미, 프로그램 능력 향상과 영향에 대하여 설문 및 분석을 통하여 창의적인 RSPM 공학교육과정을 통하여 EV3 시스템을 교구로 활용하여 성공적인 임베디드 소프트웨어 코딩 능력 가능성에 대해 제시하고자 한다. 특히 RSPM 공학교육은 스마트 로봇 NCS 직무로써 미래 유망한 임베디드 소프트웨어분야의 직업인으로 성장할 수 있도록 경쟁력을 갖춘 기초 스마트로봇 직무학습 중심으로 구성하였다.

In-Circuit 시스템 온 칩 검증 방법과 디버깅 환경 (In-Circuit System-on-Chip Verification and Debugging Environment)

  • Lee, Jae-Gon;Ando Ki;Kyung, Chong-Min
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 II
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    • pp.1007-1010
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    • 2003
  • This paper presents in-circuit system-on-chip verification and debugging environment. To maximize the emulation speed, the software part is compiled natively for the host computer and the hardware part is mapped into FPGA. The two parts communicate with each other in transaction level. The operation of the hardware part and the software part is recorded independently during the emulation, and after the emulation is over, they are merged in a waveform to give user a unified view that covers both hardware and software.

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Efficient Abnormal Traffic Detection Software Architecture for a Seamless Network

  • Lee, Dong-Cheul;Rhee, Byung-Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권2호
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    • pp.313-329
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    • 2011
  • To provide a seamless network to customers, Internet service providers must promptly detect and control abnormal traffic. One approach is to shorten the traffic information measurement cycle. However, performance degradation is inevitable if traffic measurement servers merely shorten the cycle and measure all traffic. This paper presents a software architecture that can measure traffic more frequently without degrading performance by estimating the level of abnormal traffic. The algorithm in the architecture estimates the values of the interface group objects in MIB by using the IP group objects thereby reducing the number of measurements and the size of measured data. We evaluated this architecture on part of Internet service provider's IP network. When the traffic was measured 5 times more than before, the CPU usage and TPS of the proposed scheme was 7% and 41% less than that of the original scheme while the false positive rate and false negative rate were 3.2% and 2.7% respectively.

A fast construction sequential analysis strategy for tall buildings

  • Chen, Pu;Li, Hao;Sun, Shuli;Yuan, Mingwu
    • Structural Engineering and Mechanics
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    • 제23권6호
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    • pp.675-689
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    • 2006
  • In structural analysis of tall buildings the traditional primary loading analysis approach that assumes all the loads are simultaneously applied to the fully built structure has been shown to be unsuitable by many researches. The construction sequential analysis that reflects the fact of the level-by-level construction of tall buildings can provide more reliable results and has been used more and more. However, too much computational cost has prevented the construction sequential analysis from its application in CAD/CAE software for building structures, since such an approach needs to deal with systematic changing of resultant stiffness matrices following level-by-level construction. This paper firstly analyzes the characteristics of assembling and triangular factorization of the stiffness matrix in the finite element model of the construction sequential analysis, then presents a fast construction sequential analysis strategy and a corresponding step-by-step active column solver by means of improving the existing skyline solver. The new strategy avoids considerably repeated calculation by only working on the latest appended and modified part of resultant stiffness matrices in each construction level. Without any simplification, the strategy guarantees accuracy while efficiency is greatly enhanced. The numerical tests show that the proposed strategy can be implemented with high efficiency in practical engineering design.

A Multi-Level Knowledge-Based Design System for Semiconductor Chip Encapsulation

  • Huh, Y.J.
    • 마이크로전자및패키징학회지
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    • 제9권1호
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    • pp.43-48
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    • 2002
  • Semiconductor chip encapsulation process is employed to protect the chip and to achieve optimal performance of the chip. Expert decision-making to obtain the appropriate package design or process conditions with high yields and high productivity is quite difficult. In this paper, an expert system for semiconductor chip encapsulation has been constructed which combines a knowledge-based system with CAE software.

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Sensor Network Implementation of using Embedded Web Sever

  • Lee Jeong Gi;Shin Myung Souk;Park Do Joon;Lee Cheol Seung;Kim Choong Woon;Lee Joon
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 학술대회지
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    • pp.532-535
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    • 2004
  • Architecture generation is the first step in the design of software systems. Most of the qualities that the final software system possesses are usually decided at the architecture development stage itself. Thus, if the final system should be usable, testable, secure, high performance, mobile and adaptable, then these qualities or non­functional requirements should be engineered into the architecture itself. In particular, adaptability is emerging as an important attribute required by almost all software systems. The machinery and tools in the remote site surveillance and connects intelligence information machinery and tools at Internet. We need the server which uses different embedded operating system to become private use. With the progress of information-oriented society, many device with advanced technologies invented by many companies. However, the current firmware technologies have many problems to meet such high level of new technologies. In this paper, we have successfully ported linux on an embedded system, which is based on intel StrongARM SA-1 1 10 processor, then written several network modules for internet-based network devices.

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Neighboring Elemental Image Exemplar Based Inpainting for Computational Integral Imaging Reconstruction with Partial Occlusion

  • Ko, Bumseok;Lee, Byung-Gook;Lee, Sukho
    • Journal of the Optical Society of Korea
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    • 제19권4호
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    • pp.390-396
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    • 2015
  • We propose a partial occlusion removal method for computational integral imaging reconstruction (CIIR) based on the usage of the exemplar based inpainting technique. The proposed method is an improved version of the original linear inpainting based CIIR (LI-CIIR), which uses the inpainting technique to fill in the data missing region. The LI-CIIR shows good results for images which contain objects with smooth surfaces. However, if the object has a textured surface, the result of the LI-CIIR deteriorates, since the linear inpainting cannot recover the textured data in the data missing region well. In this work, we utilize the exemplar based inpainting to fill in the textured data in the data missing region. We call the proposed method the neighboring elemental image exemplar based inpainting (NEI-exemplar inpainting) method, since it uses sources from neighboring elemental images to fill in the data missing region. Furthermore, we also propose an automatic occluding region extraction method based on the use of the mutual constraint using depth estimation (MC-DE) and the level set based bimodal segmentation. Experimental results show the validity of the proposed system.

A Dynamic Placement Mechanism of Service Function Chaining Based on Software-defined Networking

  • Liu, Yicen;Lu, Yu;Chen, Xingkai;Li, Xi;Qiao, Wenxin;Chen, Liyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권10호
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    • pp.4640-4661
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    • 2018
  • To cope with the explosive growth of Internet services, Service Function Chaining (SFC) based on Software-defined Networking (SDN) is an emerging and promising technology that has been suggested to meet this challenge. Determining the placement of Virtual Network Functions (VNFs) and routing paths that optimize the network utilization and resource consumption is a challenging problem, particularly without violating service level agreements (SLAs). This problem is called the optimal SFC placement problem and an Integer Linear Programming (ILP) formulation is provided. A greedy heuristic solution is also provided based on an improved two-step mapping algorithm. The obtained experimental results show that the proposed algorithm can automatically place VNFs at the optimal locations and find the optimal routing paths for each online request. This algorithm can increase the average request acceptance rate by about 17.6% and provide more than 20-fold reduction of the computational complexity compared to the Greedy algorithm. The feasibility of this approach is demonstrated via NetFPGA-10G prototype implementation.

A Review on the Usage of RTKLIB for Precise Navigation of Unmanned Vehicles

  • Lim, Cheolsoon;Lee, Yongjun;Cho, Am;Park, Byungwoon
    • Journal of Positioning, Navigation, and Timing
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    • 제10권4호
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    • pp.243-251
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    • 2021
  • Real-Time Kinematic (RTK) is a phase-based differential GNSS technique and uses additional observations from permanent reference stations to mitigate or eliminate effects like atmospheric delays or satellite clocks and orbit errors. In particular, as the position accuracy required in the fields of autonomous vehicles and drones is gradually increasing, the demand for RTK-based precise navigation that can provide cm-level position is increasing. Recently, with the rapid growth of the open-source software market, the use of open-source software for building navigation system of unmanned vehicles, which is difficult to mount an expensive GNSS receivers, is gradually increasing. RTKLIB is an open-source software package that can perform RTK positioning and is widely used for research and education purposes. However, since the performance and stability of RTK algorithm of RTKLIB is inevitably inferior to that of commercial GNSS receivers, users need to verify whether RTKLIB can satisfy the navigation performance requirements of unmanned vehicles. Therefore, in this paper, the performance evaluation of the RTK positioning algorithm of RTKLIB was performed using GNSS observation data acquired in a dynamic environment. Therefore, in this paper, the RTK positioning performance of RTKLIB was evaluated using GNSS observation data acquired in a dynamic environment. Our results show that the current RTK algorithm of RTKLIB is not suitable for precise navigation of unmanned vehicles.