• 대한산업공학회지
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• 제11권2호
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• pp.101-111
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• 1985

This study deals with problems of estimating the availability of the multi-module software systems. The result presented in this paper is an extension of our previous paper (2) entitled "A modified Markov model for the estimation of computer software performance". The extension is made by assuming that (1) the software system consists of R statistically independent software modules; (2) no failure occurrence while the process is in transition between software modules.

• 한국산학기술학회논문지
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• 제15권9호
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• pp.5652-5659
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• 2014

소프트웨어를 구성하는 모듈들은 각 모듈에 주어지는 업무들이 동시에 처리될 수 있도록 멀티태스킹이 가능하도록 개발되며, 또한 처리중인 업무들은 완전처리된 업무들과 처리중 모듈고장으로 완전처리 되지 않는 불완전 처리업무로 세분화한다. 이러한 경우 여러 모듈에 동시에 업무가 주어졌을 때, Farlie [11]의 결합확률분포를 기반으로 모듈간의 의존성을 고려하여 업무의 완전처리확률을 평가할 수 있는 모형을 제안하며, 이를 통하여 모듈의존성 모수 값이 커질수록 소프트웨어에 주어진 업무의 완전처리확률은 점점 커짐을 보이고자 한다.

• Communications for Statistical Applications and Methods
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• 제19권4호
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• pp.571-577
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• 2012

Modules that consist of software are respectively coded in the early development phase and the modules are unified as a software. After unification, the software is repeatedly tested with a given taskset (the set of module tasks that are tested simultaneously) until a required performance level is satisfied. In this paper, we expand the one-module software debugging model of Jang and Lee (2011) to a multi-module debugging model and derive the taskset completion probability and the mean of the completed tasksets under the assumption that the processing times of module tasks given in a taskset are mutually dependent.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권9호
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• pp.2458-2482
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• 2023

Medical image segmentation techniques based on convolution neural networks indulge in feature extraction triggering redundancy of parameters and unsatisfactory target localization, which outcomes in less accurate segmentation results to assist doctors in diagnosis. In this paper, we propose a multi-level semantic-rich encoding-decoding network, which consists of a Pooling-Conv-Former (PCFormer) module and a Cbam-Dilated-Transformer (CDT) module. In the PCFormer module, it is used to tackle the issue of parameter explosion in the conservative transformer and to compensate for the feature loss in the down-sampling process. In the CDT module, the Cbam attention module is adopted to highlight the feature regions by blending the intersection of attention mechanisms implicitly, and the Dilated convolution-Concat (DCC) module is designed as a parallel concatenation of multiple atrous convolution blocks to display the expanded perceptual field explicitly. In addition, MultiHead Attention-DwConv-Transformer (MDTransformer) module is utilized to evidently distinguish the target region from the background region. Extensive experiments on medical image segmentation from Glas, SIIM-ACR, ISIC and LGG demonstrated that our proposed network outperforms existing advanced methods in terms of both objective evaluation and subjective visual performance.

• 한국군사과학기술학회지
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• 제14권4호
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• pp.622-629
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• 2011

In this paper, you can see the structure of data slaving software module that is in use on flight test and result of the test with the slaving. The data slaving software module has many functions, data slaving for various instrumentation systems(instrumentation radars, telemetry systems for missile, aircraft and so on), setting some slaving group for multi-target, communicating with the instrumentation systems in a far away site and sending a specific value as slaving data. This fits the requests for flight test that is being performed and improves performance of the instrumentation systems.

• Journal of Positioning, Navigation, and Timing
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• 제10권1호
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• pp.1-12
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• 2021

Due to the Global Navigation Satellite System (GNSS) modernization, the recently launched GNSS satellites transmit signals at various frequency bands of L1, L2 and L5. Considering the Korea Positioning System (KPS) signal and other GNSS augmentation signals in the future, there is a high probability of applying more complex communication techniques to the new GNSS signals. For the reason, GNSS receivers based on flexible Software Defined Radio (SDR) concept needs to be developed to evaluate various experimental communication techniques by accessing each signal processing module in detail. In this paper, we introduce a multi-constellation (GPS/Galileo/BeiDou) multi-band (L1/L2/L5) SDR by utilizing Ettus USRP N210. The signal reception module of the developed SDR includes down-conversion, analog-to-digital conversion, signal acquisition, and tracking. The down-conversion module is designed based on the super-heterodyne method fitted for MHz sampling. The signal acquisition module performs PRN code generation and FFT operation and the signal tracking module implements delay/phase/frequency locked loops only by software. In general, it is difficult to sample entire main lobe components of L5 band signals due to their higher chipping rate compared with L1 and L2 band signals. Experiment result shows that it is possible to acquire and track the under-sampled signals by the developed SDR.

• Journal of Information Processing Systems
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• 제8권1호
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• pp.21-54
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• 2012

As we know every software development process is pretty large and consists of different modules. This raises the idea of prioritizing different software modules so that important modules can be tested by preference. In the software testing process, it is not possible to test each and every module regressively, which is due to time and cost constraints. To deal with these constraints, this paper proposes an approach that is based on the fuzzy multi-criteria approach for prioritizing several software modules and calculates optimal time and cost for software testing by using fuzzy logic and the fault tolerance approach.

• 정보처리학회논문지A
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• 제9A권4호
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• pp.451-458
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• 2002

본 논문에서는 내장형 리눅스를 이용한 RAID 시스템의 하드웨어 구현 방법을 제시하고 성능을 측정하여 본 시스템의 장단점을 제시한다. 파이버 채널 디스크와 호스트와의정합을 위하여 세 개리 파이버 채널 제어기를 포함하는 하드웨어를 설계 제작하였으며, 이하드웨어 위에 내장형 리눅스를 이식하고 RAID 소프트웨어를 구현하였다. RAID 기능을 위하여 SCSI 목표 모드 디바이스 드라이버와 목표 모드 SCSI 모듈을 구현하여 호스트 컴퓨터에게 SCSI 블록 디바이스를 제공한다. 또한 RAID의 기능을 위하여 리눅스의 Multi-device 모듈을 사용하였고, 높은 성능을 제공하기 위하여 Multi-device 모듈과 목표 모드 SCSI 모듈의 사이에서 연동하는 데이터 캐쉬 모듈을 구현하였다. 리눅스의 RAID 5 모듈을 수정하여, 읽기 성능을 대폭 향상시켰다. 벤치마크는 새로운 RAID 5모듈이 기존의방법보다 전체적인 성능에서 우수함을 보여준다.

• 한국전자파학회논문지
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• 제27권11호
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• pp.949-958
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• 2016

본 논문은 다중대역 및 다중모드의 레이다 기능을 갖는 새로운 SDR(Software Defined Radar) 플랫폼의 개발 결과를 제시한다. SDR 하드웨어 플랫폼은 다중대역의 S, X, 그리고 K 밴드의 교체 가능한 RF 송수신기 및 안테나 모듈과 프로그램 가능한 신호처리기 모듈로 구현된다. 소프트웨어 플랫폼은 다중모드의 CW, Pulse, FMCW, LFM Chirp 파형 발생과 적응 가능한 신호처리 알고리즘 라이브러리 모듈 및 개방형 API 소프트웨어 모듈로 구현된다. SDR 플랫폼의 레이다 통합시험을 통하여 동작 성능을 실시간으로 검증하였으며, 또한 현장 활용시험을 통하여 지상 표적 및 비행체 드론 표적을 성공적으로 탐지하여 시험 결과를 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.3976-3990
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• 2022

Currently, cross-attention is widely used in Siamese trackers to replace traditional correlation operations for feature fusion between template and search region. The former can establish a similar relationship between the target and the search region better than the latter for robust visual object tracking. But existing trackers using cross-attention only focus on rich semantic information of high-level features, while ignoring the appearance information contained in low-level features, which makes trackers vulnerable to interference from similar objects. In this paper, we propose a Multi-level Cross-attention Siamese network(MCSiam) to aggregate the semantic information and appearance information at the same time. Specifically, a multi-level cross-attention module is designed to fuse the multi-layer features extracted from the backbone, which integrate different levels of the template and search region features, so that the rich appearance information and semantic information can be used to carry out the tracking task simultaneously. In addition, before cross-attention, a target-aware module is introduced to enhance the target feature and alleviate interference, which makes the multi-level cross-attention module more efficient to fuse the information of the target and the search region. We test the MCSiam on four tracking benchmarks and the result show that the proposed tracker achieves comparable performance to the state-of-the-art trackers.