• Fibers and Polymers
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• v.7 no.1
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• pp.8-11
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• 2006

It has been reported for several decades that microbes, which naturally contaminate cotton fibres during crop growth and subsequent storage can have an adverse effect on the structural quality of cotton lint. Although several studies have analysed the relationship between numbers of Gram-negative bacteria or bacterial endotoxin and particular physical properties, these studies have been limited to cotton from the United States, and the possible effects of fungal contamination have not been examined in detail. This study quantified the Gram-negative bacteria and fungal cells, as well as measuring concentrations of bacterial endotoxin and fungal glucan, on cotton lint samples from international sources. Spearman's rank correlation coefficients calculated between these results and quality data analysed by an automated testing instrument revealed several significant correlations. Findings included inverse correlations between the biological contamination parameters and fibre elongation, micronaire and reflectance. The possible causes and implications of these findings were also discussed.

• Journal of information and communication convergence engineering
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• v.16 no.1
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• pp.60-65
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• 2018

The Internet of Things (IoT) is happening now. By implementing IoT, we can build smart home system. Smart home is an application that is a combination of technology and services that specialize in the home environment with specific functions aimed at improving the efficiency, comfort and security of the occupants. Smart homes filled with connected products are loaded with possibilities to make our lives easier, more convenient, and more comfortable. This intelligent home system uses a microcontroller to process functions that provided by smart home system, such functions as RFID for door access and PIR sensors for motion detection. By using Android users could control the sensors anytime and anywhere. Microcontroller used is Arduino IDE with WeMos D1R2 board. Based on the testing process, there was a successful communication between the components of the device, sensors, and Android devices. Users could open or close the solenoid, users can also turn off or turn on electronic devices using Android.

• Construction Engineering and Management
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• v.4 no.1 s.13
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• pp.48-54
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• 2003

An automated system for scanning and characterizing unbound aggregates, called the 'Laser-based Aggregate Scanning System'(LASS), has been developed at the University of Texas at Austin. The system uses a laser profiler to acquire and analyze true three-dimensional data on aggregate particles to measure various morphological properties. Tests have demonstrated that the system can rapidly and accurately measure grain size distribution and dimensional ratios, and can objectively quantify particle shape, angularity, and texture in a size invariant manner. In its present state of development, the LASS machine is a first-generation, laboratory testing device. With additional development, this technology is expected to provide high-quality, detailed information for laboratory and on-line quality control during aggregate production.

• Proceedings of the KSPS conference
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• 2000.07a
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• pp.338-349
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• 2000

Pronunciation teaching is once again coming into the foreground of ELT. Japan is, however, lagging far behind many countries in the development of pronunciation curricula and in the actual speech performance of the Japanese learners of English. The reasons for this can be found in the prevalence of communicative methodologies unfavorable for pronunciation teaching, in the lack of trained professionals, and in the large numbers of students in Japanese foreign language classes. This paper offers a way to promote foreign language pronunciation teaching in Japan and other countries by means of employing computer and internet facilities. The paper outlines the major directions of using modem speech technologies in pronunciation classes, like EVF (electronic visual feedback) training at segmental and prosodic levels; automated error detection, testing, grading and fluency assessment. The author discusses the applicability of some specific software packages (CSLU, SUGIspeech, Multispeech, Wavesurfer, etc.) for the needs of pronunciation teaching. Finally, the author talks about the globalization of pronunciation education via internet resources, such as computer corpora and speech and pronunciation training related web pages.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.10a
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• pp.481-486
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• 1994

An image processing and pattern recognition program was developed in order to recognize the nummerinc displays on gas flow meters. the testing process of the accuracy of gas flow meters are to be automated, using the developed software. There are already many known pattern recognition algorithms for recognition of the letters. To upgrade the recognization accuracy, four different algorithms are applied in sequentially in the software. An calculation method to assign the weighting factors for the result of each algorithm was developed. It showed 98% accuracy by the pattern recognition of displaying numbers of gas mwters of 33 differnt types. This pattern recognition system is to be integrated in a industry.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.1936-1945
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• 2008

In Korea, TCN has applied to the Korean High-speed Train (HSR350X) through G7 High-speed Train development project. TCN is the most suitable international standard communication network for distributed control systems that is adopted for high-speed of vehicle, safety and flexibility. TCN is the network exclusively for the high-speed train and electrical trains. This TCN satisfies the network standards. The network standards are real time communication, fault tolerance design, integrated data system, resistance of environment, automated recognition for modification of vehicle formation and maintenance. The purpose of this research is applying the development of WTB analyzer which is part of communication network system TCN, to check the communication of high-speed trains and electrical trains.

• ETRI Journal
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• v.19 no.4
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• pp.363-388
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• 1997

This paper describes a research result on automatic generation of abstract test cases from formal specifications by applying many related algorithms and techniques such as the testing framework, rural Chinese postman tour and unique input output sequence concepts. In addition, an efficient algorithm for verifying the strong connectivity of the reference finite state machine and the concept of unique event sequence are explained. We made use of several techniques to from an integrated framework for abstract test case generation from LOTOS and SDL specifications. A prototype of the proposed framework has been built with special attention to real protocol in order to generate the executable test cases in an automatic way. The abstract test cases in tree and tabular combined notation (TTCN) language will be applied to the TTCN compiler in order to obtain the executable test cases which re relevant to the industrial application.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.30A no.12
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• pp.1-9
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• 1993

In this paper, to realize the network management function in automated manufacturing network Mini-MAP, the network management requirements are analyzed and the network management system is implemented on the basis of this analysis. The implemented management system which has both local management and remote management mechanism is considered as a single domain on the Mini-MAP network. Here, the remote management functions consist of network status, monitoring and remote operations and the local management functions have parameter display and network self testing. The MAP network controller is designed according to the MAP version 3.0 specifications and IEEE 802 standards. the operations of network management system are certified througth the test environments which consists of the implemented network adaptor and softwares for Mini-MAP.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.536-538
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• 2016

최근 소프트웨어가 사회에서 하는 일이 점점 더 증가함에 따라 소프트웨어의 개발비용도 함께 증가하고 있다. 소프트웨어의 개발비용 중 에러를 찾아내는 소프트웨어 테스팅이 상당한 부분을 차지하고 있는데 테스팅에 소요되는 비용 때문에 테스팅을 등한시 하는 경우가 많다. 그럼에도 불구하고 소프트웨어의 기능 추가나 변경이 이루어질 때마다 테스트를 진행하여야 소프트웨어의 에러를 최소화할 수 있다. 하지만 개발이 진행될수록 소요되는 비용이 증가하는 경우가 많아 실제 소프트웨어 개발에선 개발 기한이 다가올수록 회귀 테스트를 기피하게 된다. 본 논문에서는 이러한 문제를 해결하기 위해 소프트웨어의 개발을 진행하면서 형상관리를 통해 소프트웨어의 변경이 있을 때마다 회귀 테스트를 자동으로 수행해주는 도구를 제안한다.

• Journal of the Korea Society of Computer and Information
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• v.21 no.12
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• pp.125-130
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• 2016

Automatic quality inspection by computer vision can be applied and give a solution to the pharmaceutical industry field. Pharmaceutical capsule can be easily affected by flaws like dents, cracks, holes, etc. In order to solve the quality inspection problem, it is required computationally efficient image processing technique like thresholding, boundary edge detection and segmentation and some automated systems are available but they are very expensive to use. In this paper, we have developed a dented capsule image processing technique using edge-based image segmentation, TLS(Total Least Squares) curve fitting technique and adopted low cost camera module for capsule image capturing. We have tested and evaluated the accuracy, training and testing time of the classification recognition algorithms like PCA(Principal Component Analysis), ICA(Independent Component Analysis) and SVM(Support Vector Machine) to show the performance. With the result, PCA, ICA has low accuracy, but SVM has good accuracy to use for classifying the dented capsule.