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Korean traditional fermented soybean products: Jang
Donghwa Shin,Doyoun Jeong 한국식품연구원 2015 Journal of Ethnic Foods Vol.2 No.1
Soybeans are produced in large amounts around the world. In Asian countries, soybeans have been used mostly as a source of food, and in Western countries, they have been used as animal feed and in non-food products. However, since scientific evidence of the dietary benefits of soybeans has been published, the use of soybeans as a food ingredient has increased. In Asia, soybeans have been used in various ways on their own and also combined with fermented products to be used as seasonings or side dishes. According to some sources, the use of soybeans in Korea dates back to B.C. Currently, more research is being conducted on soybeans, and the benefits of fermented soybean products are coming to light. Fermented products are going beyond the boundaries of their use as mere side dishes, and are seeing significant increases in their use as a functional food. Kanjang (fermented soy sauce), Doenjang (fermented soybean paste), and Gochujang (fermented red pepper paste) are the most well-known fermented products in Korea. These products occupy an important place in people's daily lives as seasonings and are used in many side dishes. It has been proven through clinical studies that these products have many health benefits, such as their ability to fight cancer and diabetes, and to prevent obesity and constipation.
A Statistical Model-Based Cell-to-Cell Variability Management of Li-ion Battery Pack
Donghwa Shin,Poncino, Massimo,Macii, Enrico,Naehyuck Chang IEEE 2015 IEEE transactions on computer-aided design of inte Vol.34 No.2
<P>The cell-to-cell variability of batteries is a well-known problem particularly when it comes to the assembly of large battery packs. Different battery cells exhibit substantial variability due to manufacturing tolerances, which should be assessed and managed carefully. Such variability has been approached mostly from the point of view of the chemical and physical phenomena, but these solutions are normally too complicated for the system-level design of electric applications. This paper proposes a combined cell-to-cell variability model of the capacity and internal resistance of a Li-ion battery that accounts for the variability effects in the cell manufacturing process. The proposed model allows to verify some known properties, such as the correlation between the capacity and internal resistance, to be verified qualitatively and the amount of variability and its impact on the design of battery packs to be assessed quantitatively. Using this model, the issue of how to consider the variability when constructing battery packs was also addressed. Modern battery packs normally incorporate some cell balancing circuitry, which is meant to balance cell voltages during charging at the expense of a bypassed (unstored) charge. For discharge, the cell-to-cell variability hides a part of the usable capacity of the battery pack. This paper proposes the use of variability information to assemble battery packs with minimal intracolumn variance of capacity. A weight-based variance minimization method, based on the correlation between cell capacity and weight is proposed to avoid resorting to direct battery capacity measurements, which is time-consuming and requires costly measurement equipment. The simulation result shows that the proposed weight-based approach allows an acceptable management of the cell-to-cell variability without the discharging experiment.</P>
Energy-Optimal Dynamic Thermal Management: Computation and Cooling Power Co-Optimization
Donghwa Shin,Sung Woo Chung,Eui-Young Chung,Naehyuck Chang IEEE 2010 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS - Vol.6 No.3
<P>Conventional dynamic thermal management (DTM) assumes that the thermal resistance of a heat-sink is a given constant determined at design time. However, the thermal resistance of a common forced-convection heat sink is inversely proportional to the flow rate of the air or coolant at the expense of the cooling power consumption. The die temperature of the silicon devices strongly affects its leakage power consumption and reliability, and it can be changed by adjusting the thermal resistance of the cooling devices. Different from conventional DTM which aims to avoid the thermal emergency, our proposed DTM regards the thermal resistance of a forced-convection heat sink as a control variable, and minimize the total power consumption both for computation and cooling. We control the cooling power consumption together with the microprocessor clock frequency and supply voltage, and track the energy-optimal die temperature. Consequently, we reduce a significant amount of the temperature-dependent leakage power consumption of the microprocessor while spending a bit higher cooling power than conventional DTM, and eventually consume less total power. Experimental results show the proposed DTM saves up to 8.2% of the total energy compared with a baseline DTM approach. Our proposed DTM also enhances the Failures in Time (FIT) up to 80% in terms of the electromigration lifetime reliability.</P>
Dynamic Driver Supply Voltage Scaling for Organic Light Emitting Diode Displays
Donghwa Shin,Younghyun Kim,Naehyuck Chang,Pedram, M. IEEE 2013 IEEE transactions on computer-aided design of inte Vol.32 No.7
<P>Organic light emitting diode (OLED) display is a self-illuminating device that is supposed to be more power efficient than liquid crystal display (LCD). However, OLED display panels consume as much power as LCD panels due to total internal reflection. As the power consumption of the OLED panel depends on the pixel colors, most of the earlier power saving methods alter the pixel colors. In practice, such OLED power saving techniques can hardly accommodate photo viewers and movie players. This paper introduces the first OLED power saving technique that dynamically changes the supply voltage of the panel. Reduced supply voltage results in both power saving and decreased pixel luminance, but model-based color correction restores the decreased luminance with minimum color distortion. This technique is similar to dynamic backlight scaling of LCDs but is based on the unique characteristics of the OLED drivers. We provide an online color compensation algorithm using the luminance histogram. Luminance quantization in the histogram also achieves resource minimization. We develop a prototype and demonstrate the proposed OLED dynamic voltage scaling (DVS). Experimental result shows that the proposed OLED DVS saves up to 74.7% of the display power for the still images and up to 35.9% for movie clips.</P>
Shin, Donghwa,Poncino, Massimo,Macii, Enrico IEEE 2018 IEEE transactions on very large scale integration Vol.26 No.6
<P>Thermal analysis and management of batteries have been an important research issue for battery-operated systems, such as electric vehicles and mobile devices. Nowadays, battery packs are designed considering heat dissipation, and external cooling devices, such as a cooling fan, are also widely used to enforce the reliability and extend the lifetime of a battery. However, this type of approaches cannot achieve an immediate temperature drop to avoid a thermal emergency situation. Approaches based on removing the heat from the heat sources via idle period insertion (similar to what is done for silicon devices) would allow faster thermal response; however, it is not obvious how to implement these schemes in the context of batteries. In this paper, we propose the use of a simple parallel battery–supercapacitor hybrid architecture with a dual-mode discharge strategy that can provide immediate temperature management, in which the supercapacitor is used as an energy buffer during the idle periods of the battery. Simulation results show that the proposed method can reduce the battery temperature during charge and discharge while exploiting the advantage of the parallel connection.</P>
산점도 진단분석과 분할 변수 선택 기법을 활용한 점진적인 시각적 분석
신동화(DongHwa Shin),이세희(Sehi L’Yi),송현주(Hyunjoo Song),서진욱(Jinwook Seo) 한국정보과학회 2018 정보과학회논문지 Vol.45 No.8
본 논문에서는 산점도 진단분석의 일종인 분할 변수 선택 기법에 점진적 시각화를 접목한 시각적 분석 시스템을 제시한다. 기존 분할 변수 선택 기법의 한계인 확장성 및 성능의 문제를 극복하기 위해 인터페이스 요소들은 모두 분석 진행 상황을 실시간으로 갱신하도록 설계하였다. 인터페이스의 구성은 크게 두 부분으로 분석의 대상이 되는 산점도들을 하나의 점으로 표현한 개요 시각화(overview)와 흥미로운 산점도들을 더욱 자세히 살펴볼 수 있는 세부 시각화(detailed view)로 나누어 설계하였다. 이러한 설계의 목적과 이유를 소개하는 한편, 사용자가 어떻게 효과적으로 이 시스템을 사용할 수 있는지에 대한 데이터 분석 시나리오를 제시한다. In this paper, we propose a visual analytics system that combines progressive visualization with a partitioning variables selection method, one of the analytic techniques based on a scagnostics concept. In order to overcome the problems of scalability and performance associated with the existing method, all of the interface elements are designed so as to update the analysis progress in real time. The interface consists of two parts: an overview of the scatterplots to be analyzed and a detailed view for exploring interesting scatterplots in detail. We introduce the design rationale of our system and present a data analysis scenario to show how users can effectively use the system.