• Korean Journal of Food Science and Technology
• /
• v.39 no.5
• /
• pp.500-505
• /
• 2007

The objective of this study was to investigate the effects of cooking methods (cooking apparatus and reaction level of oxygen) on the rancidity, reactive oxygen species (ROS), and furans produced while cooking deep-fired instant noodles. The sample rancidities showed a decreasing trend regardless of the cooking apparatus, as the available oxygen content in the cooking pot was reduced. In particular, soaking and then cooking using a microwave oven was found to be the most effective method to retard rancidity development. The ROS concentration after cooking had a similar trend to the rancidity. The furan concentrations of the samples significantly decreased under all cooking conditions as compared to the control, and the lowest value was 10.69 ppb for the sample cooked in a microwave oven without a cooking pot lid after soaking. The results indicate that cooking in a microwave oven with soaking was the most effective method for the oxidative stability of deep-fried instant noodles.

• Journal of Bio-Environment Control
• /
• v.8 no.1
• /
• pp.56-66
• /
• 1999

Growth of Dendranthema grandiflorum R. ‘Bongwhang’plantlets, as affected by three levels of photosynthetic photon flux (PPF), 70, 150 and 220 $\mu$mol. $m^{-2}$ . $s^{-1}$ , three levels of C $O_{2}$ concentration, 400-500 (ambient), 1000 and 2000 $\mu$mol.mo $l^{-1}$ , and two levels of number of air exchanges per hour (NAEH), 0.1 $h^{-1}$ and 2.8 $h^{-l}$, was studied. Explants were obtained from photomixotrophically-micropropagated plantlets. Four explants were planted in each 3.7$\times$10$^{-4}$ $m^{3}$ polycarbonate box containing MS medium supplemented with 1.25 meq. $L^{-1}$ $H_{2}$P $O_{4}$$^{[-10]}$ and no added sugar. Explants were cultured under cool-white fluorescent lamps (16 h. $d^{-1}$ ), at 25$\pm$1$^{\circ}C$ temperature, and 70-80% relative humidity. In treatments of 2.8 $h^{-1}$ NAEH, a 10 mm round hole made on the vessel cap was sealed with a microporous filter For higher C $O_{2}$ concentrations in the culture room, C $O_{2}$ gas was provided from a tank of liquefied C $O_{2}$. Fresh and dry weights, height, length of the longest roots, number of leaves, and leaf area significantly increased with increasing PPF and especially, with increasing C $O_{2}$ concentration. Growth was enhanced with increased number of air exchanges per hour (2.8 $h^{-1}$ ). Overall, treatment of 220$\mu$mol. $m^{-2}$ . $s^{-1}$ PPF combined with 2000$\mu$mol.mo $l^{-1}$ C $O_{2}$ and 2.8 $h^{-1}$ NAEH gave the most vigorous growth of Dendranthema grandiflorum R. ‘Bongwhang’ plantlets in vitro.o.

• Journal of KIISE:Computing Practices and Letters
• /
• v.13 no.5
• /
• pp.293-299
• /
• 2007

Intelligent pipeline inspection gauges (PIGs) are inspection vehicles that move along within a (gas or oil) pipeline and acquire signals (also called sensor data) from their surrounding rings of sensors. By analyzing the signals captured in intelligent PIGs, we can detect pipeline defects, such as holes and curvatures and other potential causes of gas explosions. There are two major data access patterns apparent when an analyzer accesses the pipeline signal data. The first is a sequential pattern where an analyst reads the sensor data one time only in a sequential fashion. The second is the repetitive pattern where an analyzer repeatedly reads the signal data within a fixed range; this is the dominant pattern in analyzing the signal data. The existing PIG software reads signal data directly from the server at every user#s request, requiring network transfer and disk access cost. It works well only for the sequential pattern, but not for the more dominant repetitive pattern. This problem becomes very serious in a client/server environment where several analysts analyze the signal data concurrently. To tackle this problem, we devise a fast in-memory cache manager, called T-Cache, by considering pipeline sensor data as multiple time-series data and by efficiently caching the time-series data at T-Cache. To the best of the authors# knowledge, this is the first research on caching pipeline signals on the client-side. We propose a new concept of the signal cache line as a caching unit, which is a set of time-series signal data for a fixed distance. We also provide the various data structures including smart cursors and algorithms used in T-Cache. Experimental results show that T-Cache performs much better for the repetitive pattern in terms of disk I/Os and the elapsed time. Even with the sequential pattern, T-Cache shows almost the same performance as a system that does not use any caching, indicating the caching overhead in T-Cache is negligible.