• Journal of the Korea Society of Computer and Information
• /
• v.24 no.4
• /
• pp.107-112
• /
• 2019

Failure testing is a test that verifies that the system is operating in accordance with failure response requirements. A typical failure test approaches the operating system by identifying and testing system problems caused by unexpected errors during the operational phase. In this paper, we study how to evaluate these Failure at the software development stage. Evaluate the probability of failure due to code changes through the complexity and duplication of the code, and evaluate the probability of failure due to exceptional situations with bugs and test coverage extracted from static analysis. This paper studies the possibility of failure based on the code quality of software development stage.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.05a
• /
• pp.659-660
• /
• 2016

This paper presents an improved evaluation method, based on National Competency Standards (NCS), of National Technical Qualification (NTQ) examination in Electronics Fields such as Craftsman Computer, Industrial Engineer Computer Maintenance Control, Engineer Computer System Application, Engineer Computer, Engineer Embedded) to reflect practical vocational abilities and raise values of NTQ certificates. To evaluate each NTQ examination, we carefully chose corresponding NCS competency units for practical performance test, written subjective test, and mixed test through the advisory committee with industry, education, and qualification experts. In addition, we verified useful effects of the NCS-based evaluation method by performing and analyzing the simulated tests. We used both single and mixed problems in practical performance test and new problems about system design and implementation based on various working scenarios in written subjective test.

• Journal of Environmental Health Sciences
• /
• v.13 no.1
• /
• pp.35-40
• /
• 1987

Personal computer based measurement and control system was constructed and tested in order to fiexibly apply it to laboratoy experiments in which environmental factors such as temperature, humidity, pH, DO and gases should be measured and controlled. Personal computer FC-80 was successively interfaced to the input-output system made up of PPI, A/D converter, D/A converter, programmable timer and USART boards. To test the system, pH control experiment was executed and the pH of the solution could be measured, expressed on the monitor and controlled at constant value.

• Journal of Korea Multimedia Society
• /
• v.19 no.12
• /
• pp.2014-2023
• /
• 2016

Web presence is one of the key issues for extensive deployment of Internet-of-Things (IoT). An obstacle to overcome for Web presence is relatively low computing power of IoT devices. In this paper, we present implementation of an IoT platform based on Constrained Application Protocol (CoAP) which is a web transfer protocol proposed by Internet Engineering Task Force (IETF) for the low performance IoT devices such as Wireless Sensor Network (WSN) nodes and micro-controllers. To qualify the performance of CoAP-based IoT system for such an application as smart grid, we designed a test platform consisting of Raspberry Pi2, Kmote WSN node and a desktop PC. Using open source softwares, CoAP was implemented on top of the platform. Leveraging the GET command defined at CoAP specification, performance of the system was measured in terms of round-trip time (RTT) from web application to the Kmote sensor node. To investigate abnormal cases among the test results, hop-by-hop delays were measured to analyze resulting data. The average response time of CoAP-based communication except the abnormal data was reduced by 23% smaller than the previous research result.

• International Journal of Reliability and Applications
• /
• v.2 no.4
• /
• pp.269-280
• /
• 2001

The objective of this paper is to provide a model for effective implementation of costing RAM management in the design and procurement of production facility considering the system cost-performance trade-off. This research proposes a two-step approach of costing RAM design and test of system RAM for production facility. In Step 1, a static model is proposed to find an initial system configuration to meet the required performance based on system RAM and LCC and analyzes the trade-off relationships between various factors of RAM and LCC. In the second Step, we developed time and failure truncated models for system reliability test and analysis. For the computational purpose, we developed computer programs and have shown the sample results. By the sample test run, the proposed model has shown the possibilities to provide a good method to analyze system performance evaluation for both design and operational phase, This model can be applied to a wide variety of systems not only for costing RAM of the production facilities but also for the other kinds of equipment.

• Transactions of Materials Processing
• /
• v.5 no.1
• /
• pp.27-36
• /
• 1996

In this paper a computer-aided design system for axisymmetric deep drawing process will be described. An approach to the system is based on the knowledge based system. The system has been written in AutoLISP with personal computer. The system is composed of four main modules such as input geometrical design test & rectification and user modification. the system which aids designer provides powerful capabilities for the design of axisymmetric deep drawing process.

• Journal of Positioning, Navigation, and Timing
• /
• v.11 no.4
• /
• pp.351-360
• /
• 2022

Autonomous vehicles require precise knowledge of their position, velocity and orientation in all weather and traffic conditions in any time. And, these information is effectively used for path planning, perception, and control that are key factors for safety of vehicle driving. For this purpose, a high precision GNSS technology is widely adopted in autonomous vehicles as a core localization and navigation method. However, due to the lack of infrastructure as well as cost issue regarding GNSS correction data communication, only a few high precision GNSS technology will be available for future commercial autonomous vehicles. Recently, a high precision GNSS sensor that is based on a Broadcast-RTK system to dramatically reduce network maintenance cost by utilizing the existing broadcasting network is released. In this paper, we present the performance test result of the broadcast-RTK-based commercial high precision GNSS receiver to test the feasibility of the system for autonomous driving in Korea. Massive measurement campaigns covering of Korea region were performed, and the obtained measurements were analyzed in terms of ambiguity fixing rate, integer ambiguity loss recovery, time to retry ambiguity fixing, average correction information update rate as well as accuracy in comparison to other high precision systems.

• International Journal of Control, Automation, and Systems
• /
• v.5 no.1
• /
• pp.35-42
• /
• 2007

This paper presents an INS(Inertial Navigation System) grade, surface micro-machined differential resonant accelerometer(DRXL) manufactured by an epitaxially grown thick poly silicon process. The proposed DRXL system generates a differential digital output upon an applied acceleration, in which frequency transition is measured due to gap dependent electrical stiffness change. To facilitate the resonance dynamics of the electromechanical system, the micromachined DRXL device is packaged by using the wafer level vacuum sealing process. To test the DRXL performance, a nonlinear self-oscillation loop is designed based on the extended describing function technique. The oscillation loop is implemented using discrete electronic elements including precision charge amplifier and hard feedback nonlinearity. The performance test of the DRXL system shows that the sensitivity of the accelerometer is 24 Hz/g and its long term bias stability is about 2 mg($1{\sigma}$) with dynamic range of ${\sigma}70g$.

• The Journal of Korean Association of Computer Education
• /
• v.12 no.1
• /
• pp.57-69
• /
• 2009

Generally, teaching in computer Labs is more difficult than teaching in a normal class for teachers to give students systematic learning. One of the reasons is that the students who participate in the class tend to use the programs that are not related to the practice included in the curriculum. Therefore, the students cannot focus on the subjects that they should do. To solve this problem, there are many kinds of systems that can control the students' computers. However, they cannot help teachers to manage the students and computers due to the inconvenience of usage and the lack of functions. In this study, we analyzed the problems in the computer-practice classwork and designed a new system to support that the students can participate in the computer classes with more attention. In addition, it is offered that the computer teachers can manage the classes and the students more efficiently with this new system. For these purposes, the effects mentioned were approved before in the real lab situations. Experimental results showed that the proposed system can improve the rate of the students attention, leading them to get better grades on the achievement test.

• The Journal of the Acoustical Society of Korea
• /
• v.28 no.3E
• /
• pp.109-117
• /
• 2009

Identity recognition in real environment with a reliable mode is a key issue in human computer interaction (HCI). In this paper, we present a robust person identification system considering score-based optimal reliability measure of audio-visual modalities. We propose an extension of the modified reliability function by introducing optimizing parameters for both of audio and visual modalities. For degradation of visual signals, we have applied JPEG compression to test images. In addition, for creating mismatch in between enrollment and test session, acoustic Babble noises and artificial illumination have been added to test audio and visual signals, respectively. Local PCA has been used on both modalities to reduce the dimension of feature vector. We have applied a swarm intelligence algorithm, i.e., particle swarm optimization for optimizing the modified convection function's optimizing parameters. The overall person identification experiments are performed using VidTimit DB. Experimental results show that our proposed optimal reliability measures have effectively enhanced the identification accuracy of 7.73% and 8.18% at different illumination direction to visual signal and consequent Babble noises to audio signal, respectively, in comparison with the best classifier system in the fusion system and maintained the modality reliability statistics in terms of its performance; it thus verified the consistency of the proposed extension.