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Does Design Pattern Support Easy Change Impact Analysis? - Focusing on the Command Pattern
Jinyong Park,Hyemin Noh,Cheoljung Yoo,Jihyun Lee 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.10
Design patterns, a solution for the specific context and the problem, give benefits to us what a good design creates if we adequately use them in accordance with their purposes and principles. However, if we do not use them with inadequate purposes, using design patterns can be causes of increasing costs and decreasing maintainability and system performance. An industrial robot completes its given task through a series of hardware device’s primitive movements, controlled by an application using the APIs provided by specific hardware vendors. However, required movements of a robot change frequently because the given task changes often. This requires changes on hardware devices. As a consequence of this, APIs, controlling the hardware device change, and we also should modify the corresponding application. Therefore, an industrial robot software application should be designed such that it can easily trace hardware device’s change impacts on the application as well as it defines ordered composite primitive movements for completing the required task. This paper implements parts of an application that use hardware dependent APIs by using the command pattern and validates whether it support each change impact analysis.
Highly efficient computer algorithm for identifying layer thickness of atomically thin 2D materials
Lee, Jekwan,Cho, Seungwan,Park, Soohyun,Bae, Hyemin,Noh, Minji,Kim, Beom,In, Chihun,Yang, Seunghoon,Lee, Sooun,Seo, Seung Young,Kim, Jehyun,Lee, Chul-Ho,Shim, Woo-Young,Jo, Moon-Ho,Kim, Dohun,Choi, Hy IOP 2018 Journal of Physics. D, Applied Physics Vol.51 No.11
<P>The fields of layered material research, such as transition-metal dichalcogenides (TMDs), have demonstrated that the optical, electrical and mechanical properties strongly depend on the layer number <I>N</I>. Thus, efficient and accurate determination of <I>N</I> is the most crucial step before the associated device fabrication. An existing experimental technique using an optical microscope is the most widely used one to identify <I>N</I>. However, a critical drawback of this approach is that it relies on extensive laboratory experiences to estimate <I>N</I>; it requires a very time-consuming image-searching task assisted by human eyes and secondary measurements such as atomic force microscopy and Raman spectroscopy, which are necessary to ensure <I>N</I>. In this work, we introduce a computer algorithm based on the image analysis of a quantized optical contrast. We show that our algorithm can apply to a wide variety of layered materials, including graphene, MoS<SUB>2</SUB>, and WS<SUB>2</SUB> regardless of substrates. The algorithm largely consists of two parts. First, it sets up an appropriate boundary between target flakes and substrate. Second, to compute <I>N</I>, it automatically calculates the optical contrast using an adaptive RGB estimation process between each target, which results in a matrix with different integer <I>N</I>s and returns a matrix map of <I>N</I>s onto the target flake position. Using a conventional desktop computational power, the time taken to display the final <I>N</I> matrix was 1.8 s on average for the image size of 1280 pixels by 960 pixels and obtained a high accuracy of 90% (six estimation errors among 62 samples) when compared to the other methods. To show the effectiveness of our algorithm, we also apply it to TMD flakes transferred on optically transparent <I>c</I>-axis sapphire substrates and obtain a similar result of the accuracy of 94% (two estimation errors among 34 samples).</P>
김기화(Ki Hwa Kim),동혜민(Hyemin Dong),한현정(Hyun Jung Han),이영현(Young Hyun Lee),문지영(Ji Young Moon),방경환(Kyong-Hwan Bang),노봉수(Bong Soo Noh) 한국식품과학회 2013 한국식품과학회지 Vol.45 No.5
수입산과 국내산 홍삼농축액이 혼합비율에 따른 차이에 따른 원산지 판별가능성을 알아보기 위하여 MS-전자코를 이용하여 분석해 보았다. 수입산 홍삼 농축액과 국내산 홍삼농축액의 원산지 판별이 가능하였고 수입산과 국내산 홍삼농축액의 혼합비율에 따라 DF1값이 일정하게 감소하는 경향을 보였다. 관계식으로 볼때, 상관계수가 0.9951와 0.9656로 나타나 정확한 관계식을 토대로 원산지 판별에 적용 가능함을 보여주었다. 이러한 관계식을 토대로 미지의 시료와 함께 판별함수 분석할 경우 수입산과 국내산이 혼합된 제품의 원산지 및 혼합비율을 알아보는 것이 가능함을 알 수 있었다. The geographical origin of red ginseng extract (RGE) was studied using a mass spectrometry based electronic nose. Imported RGE and domestic RGE were diluted to 12oBx. The treated RGE was analyzed, and discriminant function analysis (DFA) was used for discriminating of geographical origins. The DFA plots indicated a significant separation of imported RGE and domestic RGE. The F-value of discriminant function first score (DF1) was much higher than that of discriminant function second score (DF2), indicating that discrimination was mainly affected by DF1. Based on DF1, the concentration of domestic RGE to imported RGE shifted to the left side of DFA plot, and the mixing ratio highly correlated to DF1 value. Unknown sample (#2) was closely located to the sample of mixed imported : domestic (6:4) RGE. In the bar graph, the DF1 value correlated to the mixing ratio. Unknown samples (#2) were thought to be mixed with the imported RGE. This technique could be used to efficiently differentiate the geographical origin of RGE.
전자코를 이용한 도정 및 저장에 따른 쌀의 휘발성분 패턴 판별
한현정(Hyun Jung Han),동혜민(Hyemin Dong),노봉수(Bong Soo Noh) 한국식품과학회 2016 한국식품과학회지 Vol.48 No.2
쌀의 도정도에 따른 휘발성분의 변화를 알아보기 위하여 전자코 분석을 시행하여 보았다. 그 결과 도정도가 증가할수록 대조구인 공기와 DF1의 거리가 가까워져 적은 휘발성분을 갖는 것으로 나타났다. 이는 도정도를 전자코로 판별할 수 있다고 보여진다. 또한 도정도에 따른 쌀의 저장기간이 늘어날수록 휘발 성분이 증가하는 것을 보여주었다. 이는 쌀을 저장 하였을 경우 지방의 산패가 일어나게 되고 이는 곧 이취로 이어지게 되기 때문에 저장기간이 길어질수록 휘발 성분이 많아지는 것으로 여겨진다. The objective of this study was to analyze the volatile compounds in rice under various milling degrees using a mass spectrometry-based electronic nose and discriminant function analysis (DFA). Less volatile components were more frequently found in rice with a lower milling degree. Milling degree resulted in a shift of DF1 to the left side of the DFA plot. This indicated that the DF1 scores were correlated with the milling degree of rice. Brown rice was found to have more volatile components regardless of the milling degree. Thus, rice prepared at different milling degrees could be effectively discriminated with electronic nose analysis. Moreover, more volatile components were detected with an increase in storage time. A slight change in volatile components was found with an increase in the milling degree. The electronic nose could predict the milling degree and storage time of rice.