• 언어사실과 관점
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• 제48권
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• pp.505-541
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• 2019

This research aims to analyze Korean language learners' spoken corpus to reveal their acquisition order and development patterns of particles. To this end, we collected free conversation data of beginning level Korean language learners over five months and constructed a corpus. It was confirmed that particle acquisition takes place over four stages based on the frequency of particle use and its accuracy. The stages of development were first 'ey, un/nun, i/ka(nominative), ul/lul', second 'eyse, hako(conjunction), to, hako(adverbial)', third '(u)lo, pota, man, eykey, kkaci, puthe, kkeyse, ui', and fourth 'hanthey, (i)na(conjunction), wa/kwa(conjunction), kkey, (i)lang(adverbial), eykeyse, mata, wa/kwa(adverbial), (i)na(auxiliary particle), pakkey, (i)lang(conjunction)'. Based on these findings, the characteristics shown in the particle use of beginning level learners are as the following. First, case markers start to develop foremost. Second, the accuracy of each particle use tends to decrease slightly over time. Third, the frequency of some particles was observed to suddenly increase and then decrease again at a certain period. Fourth, the order of most, but not all particles' appearance seemed to be related to the order of being introduced in textbooks. It is important that this research provides implications for grammar education when establishing Korean language education curriculum or developing grammar syllabus.

• Nuclear Engineering and Technology
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• 제54권6호
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• pp.2023-2030
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• 2022

A novel pulse fitting analysis (PFA) method is presented for the acquisition of nuclear spectra. The charging process of the feedback capacitor in the resistive feedback charge-sensitive preamplifier is equivalent to the impulsive pulse, and its impulse response function (IRF) can be obtained by non-linear fitting of the falling edge of the nuclear pulse. The integral of the IRF excluding the baseline represents the energy deposition of the particles in the detector. In addition, since the non-linear fitting process in PFA method is difficult to achieve in the conventional architecture of spectroscopy system, a new multi-channel analyzer (MCA) based on Zynq SoC is proposed, which transmits all the data of nuclear pulses from the programmable logic (PL) to the processing system (PS) by high-speed AXI-Stream in order to implement PFA method with precision. The linearity of new MCA has been tested. The spectrum of ¹³⁷Cs was obtained using LaBr₃(Ce) scintillator detector, and was compared with commercial MCA by ORTEC. The results of tests indicate that the MCA based on PFA method has the same performance as the commercial MCA based on pulse height analysis (PHA) method and excellent linearity for γ-rays with different energies, which infers that PFA method is an effective and promising method for the acquisition of spectra. Furthermore, it provides a new solution for nuclear pulse processing algorithms involving regression and iterative processes.

• ETRI Journal
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• 제32권6호
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• pp.881-890
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• 2010

Conventional fire detection systems use physical sensors to detect fire. Chemical properties of particles in the air are acquired by sensors and are used by conventional fire detection systems to raise an alarm. However, this can also cause false alarms; for example, a person smoking in a room may trigger a typical fire alarm system. In order to manage false alarms of conventional fire detection systems, a computer vision-based fire detection algorithm is proposed in this paper. The proposed fire detection algorithm consists of two main parts: fire color modeling and motion detection. The algorithm can be used in parallel with conventional fire detection systems to reduce false alarms. It can also be deployed as a stand-alone system to detect fire by using video frames acquired through a video acquisition device. A novel fire color model is developed in CIE $L^*a^*b^*$ color space to identify fire pixels. The proposed fire color model is tested with ten diverse video sequences including different types of fire. The experimental results are quite encouraging in terms of correctly classifying fire pixels according to color information only. The overall fire detection system's performance is tested over a benchmark fire video database, and its performance is compared with the state-of-the-art fire detection method.