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1

Microstructure and Impact Toughness of Offshore Steel

Cheng T.-C., Yu C., Yang T.-C., Huang C.-Y., Lin H.-C., Shiue R.-K.

Archives of Metallurgy and Materials

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2018

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Vol. 63, iss. 1

167--172

EN

This study focused on the effects of microstructures on the low-temperature impact toughness of directly water-quenched offshore steel. Martensite dominated the microstructure directly below the quenched surface. In contrast, mainly lower bainite, martensite, and low amount of ferrite were observed in the central region of the quenched specimen. The ductile to brittle transition temperature of tempered martensite was significantly lower than that of a bainite-dominated microstructure. It is found that low-angle boundaries within the bainite packets greatly impair the low-temperature impact toughness of the steel. The absence of high-angle boundaries in the lower bainite packets significantly deteriorates the low-temperature impact energy of offshore steel.

2

Performance Evaluation of Fabless CMOS Image Sensor Design Houses by Using an Multiple Objective Programming Based Data Envelopment Analysis

Chen H., Huang C.-Y.

Przegląd Elektrotechniczny

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2012

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R. 88, nr 7b

289--293

EN

Complementary Metal Oxide Semiconductor (CMOS) image sensors have widely been used due to the advantages in terms of low power consumption, on-chip signal processing capability, and a comparatively low cost. The market research institutes predicted that the demand for CMOS image sensors will dramatically increase over the next few years. Although the demand continues to increase, the market is becoming daily competitive. Thus, operating efficiently will be very critical for CMOS image sensor vendors to sustain competitiveness. The fabless CMOS image sensor design is one of the fast emerging and most important sectors of the CMOS image sensor industry. Understanding the efficiency of fabless CMOS image sensor design houses is critical for managers of the fabless CMOS image sensor design houses, semiconductor foundries as well as investors. Albeit critical, very few scholars tried to evaluate the performance of the fabless CMOS image sensor vendors. Thus, this paper aims to evaluate the productivity and efficiency of CMOS image sensor firms. A novel Multiple Objectives Programming based Data Envelopment Analysis (DEA) model will be introduced for benchmarking the firms.

PL

Opisano projektowanie czujnika obrazu CMOS. Wprowadzono nowy algorytm DEA (data envelopment analysis) do oprogramowania MOP (multiple objective programming).

3

On stability of trimmed sums

Hu T.-C., Huang C.-Y., Rosalsky A.

Probability and Mathematical Statistics

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2003

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Vol. 23, Fasc. 1

153--172

EN

Let {Xn, n ≥ 1} be a sequence of i.i.d. random variables and let {an, n ≥ 1} and {bn, n ≥ 1} be sequences of constants where 0 < bn ↑ ∞. Let Xn(1), Xn(2),…, Xn(n) be a rearrangement of X1,…, Xn such that |Xn(1)| ≥ |Xn(2)| ≥ … ≥ |Xn(n)|. Consider the sequence of weighted sums Tn = Σni=1 ai Xi, n ≥ 1, and, for fixed r ≥ 1, set T(r)n = Σni=1 ai Xi I(|Xi| ≤ |X(r+1)n|), n ≥ r + 1; i.e., T(r)n is the sum Tn minus the sum of the X(k)n’s multiplied by their corresponding coefficients for k = 1,…, r. The main results provide sufficient and, separately, necessary conditions for b−1n T(r)n − kn → 0 almost surely for some sequence of centering constans {kn, n ≥1}. The current work extends that of Mori [14], [15] wherein an ≡ 1.