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  • Author: Lu-Lu Wang x
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Open access

Jun-Ming Lu and Mao-Jiun Wang

A Computer-aided Production System for Mass Customization in Fashion

In order to meet the demands of the market, a computer-aided production system for mass customization in fashion is proposed. The system enables the automation of dimension collection, pattern generation and fabric cutting. By integrating the system with the processes of garment sewing, fitting test and final adjustment, mass customization can be realized in the apparel industry. For the manufacturers, the efficiency of the supply chain can be improved by reducing human efforts, costs, and production time. For the customers, better fitness with faster delivery stimulates the desire of purchase and enhances their satisfaction.

Open access

Liang Hong, Mengqi Luo, Ruixue Wang, Peixin Lu, Wei Lu and Long Lu

Abstract

The concept of Big Data is popular in a variety of domains. The purpose of this review was to summarize the features, applications, analysis approaches, and challenges of Big Data in health care. Big Data in health care has its own features, such as heterogeneity, incompleteness, timeliness and longevity, privacy, and ownership. These features bring a series of challenges for data storage, mining, and sharing to promote health-related research. To deal with these challenges, analysis approaches focusing on Big Data in health care need to be developed and laws and regulations for making use of Big Data in health care need to be enacted. From a patient perspective, application of Big Data analysis could bring about improved treatment and lower costs. In addition to patients, government, hospitals, and research institutions could also benefit from the Big Data in health care.

Open access

Y Jing, C Gong, K Xian, C Wang and P Lu

Abstract

The deliveries of 20 added flavor constituents, total particulate matter (TPM), nicotine, ‘tar’ carbon monoxide and water in cigarette mainstream smoke were studied when filter ventilation was 0, 10%, 30%, 50% and 70%, respectively. The flavor substance test was done by addition of standard samples. The flavor constituents in cigarette smoke condensate were separated by simultaneous distillation-extraction (SDE) and capillary gas chromatography (GC). The flavor constituents were identified and determined quantitatively by gas chromatography-mass spectrometry (GC-MS) and GC. The flavors studied were methylpyrazine, furaldehyde, 5-methylfuraldehyde, benzaldehyde, 6-methyl-5-hepten-2-one, trimethylpyrazine, 2-acetylpyridine, phenylacetaldehyde, acetophenone, linalool, b-phenylethyl alcohol, isophorone, oxoisophorone, benzyl acetate, menthol, ethyl octanoate, b-damascenone, b-damascone, geranylacetone and b-ionone. The deliveries of TPM, nicotine, ‘tar’ carbon monoxide and water in mainstream smoke were determined according to International Standard methods. It was found that the flavor constituents and routine components in mainstream smoke decreased in different proportions as the filter ventilation increased. Carbon monoxide and ‘tar’ decreased more than nicotine. The flavor constituents with lower boiling points and lower molecular weights decreased more than those with higher boiling points and higher molecular weights. With the increase of filter ventilation, not only is the amount of smoke components reduced and the smoke taste weakened, but also the composition of smoke is modified and the quality of aroma changed slightly. These findings should be considered when developing low-‘tar’ cigarettes through the use of filter ventilation technology.

Open access

Yuzheng Lu, Yang Wang and Weidong Gao

Abstract

In this study, the wicking properties of ring and compact-siro ring spun staple yarns were compared. The twist level, which is related to the structure of the staple yarns, was found to significantly influence the wicking property of the two kinds of yarn. Polyester staple fibers with 1.33 dtex × 38 mm were selected as the staple fiber material, and the effect of the twist level on the wicking property was investigated using the capillary rise method. The results show that with a decreasing twist coefficient, the wicking height increases with a decrease in yarn compactness. The compact-siro spun yarn showed better wicking properties owing to it special ply yarn structure. Furthermore, the tension property of the yarns decreased significantly with a decrease in the twist coefficient. Compact-siro spinning was carried out to obtain staple yarns with lower twist coefficients, and the yarns showed great improvement in terms of yarn strength, fiber straightness, and wicking properties. Thus, compact-siro spinning is an efficient method to improve the wicking properties of staple yarns.

Open access

Peili Yin, Jianhua Wang and Chunxia Lu

Abstract

Validity and correctness test verification of the measuring software has been a thorny issue hindering the development of Gear Measuring Instrument (GMI). The main reason is that the software itself is difficult to separate from the rest of the measurement system for independent evaluation. This paper presents a Virtual Gear Measuring Instrument (VGMI) to independently validate the measuring software. The triangular patch model with accurately controlled precision was taken as the virtual workpiece and a universal collision detection model was established. The whole process simulation of workpiece measurement is implemented by VGMI replacing GMI and the measuring software is tested in the proposed virtual environment. Taking involute profile measurement procedure as an example, the validity of the software is evaluated based on the simulation results; meanwhile, experiments using the same measuring software are carried out on the involute master in a GMI. The experiment results indicate a consistency of tooth profile deviation and calibration results, thus verifying the accuracy of gear measuring system which includes the measurement procedures. It is shown that the VGMI presented can be applied in the validation of measuring software, providing a new ideal platform for testing of complex workpiece-measuring software without calibrated artifacts.

Open access

Yan-Ming Wang, Wen-Zheng Wang, Zhen-Lu Shao, De-Ming Wang and Guo-Qing Shi

Abstract

Coal spontaneous combustion is an extremely complicated physical and chemical changing process. In order to improve the indicator gases detection technology and coal spontaneous combustion monitoring, a novel forecast method for toxic gases emission from coal oxidation at low temperature is presented in this paper. The experiment system is setup combined with frequency-domain terahertz technology and coal temperature programming device. The concentration curves of carbon monoxide and sulphur dioxide gases from coal spontaneous combustion are estimated according to molecule terahertz spectra. The influences of coal rank and oxygen supply on coal spontaneous combustion characteristics are discussed. Both carbon monoxide and sulphur dioxide gases absorption spectra show the characteristic equi-spaced absorption peaks. Results demonstrate that under the condition of lean oxygen, there exists a critical oxygen concentration in the process of coal oxidation at low temperature. Comparing with Fourier infrared spectrum testing, the presented method is highly accurate and more sensitive, especially suitable for early-stage monitoring of the indicator gases produced by coal spontaneous combustion.

Open access

Peng Hu, Jing Wang, Bo Hu, Ling Lu and Yuan Han Qin

Abstract

Background: Hyperlipidemia (HLP) is one of the cardinal manifestations of primary nephrotic syndrome (PNS). More importantly, HLP appears to act as a close link between cardiovascular risk and renal progression in nephrotic children. However, until recently, little information based on clinical and biochemical evidence was available to support this hypothesis.

Objective: We investigated the linkage between cardiovascular risk and renal progression of nephritic syndrome in children.

Methods: Three hundred seventy eight PNS children and 200 healthy volunteers were recruited into this study. Fasting serum levels of lipoprotein (a) [Lp(a)], cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL), blood urea nitrogen (BUN), and creatinine (Cr) were measured. Serum LDL and estimate glomerular filtration rate (eGFR) were calculated by the Friedewald formula and the Schwartz formula respectively.

Results: Serum concentrations of Lp(a), TC, TG, HDL, LDL, and apoB were higher in the PNS than in the control group (p <0.05). Two hundred seventy three and 63 patients suffered from dyslipidemia and renal dysfunction to some extent, and the prevalence rates were 72.2% and 16.7%. More specifically, the most prevalent type of HLP was [TC‘!] with a constituent ratio of 49.1%, and the most prevalent type of renal dysfunction was [eGFR“!] with a constituent ratio of 76.2%. PNS children undergoing renal dysfunction exhibited significantly higher Lp(a) and TG concentrations than those with normal renal function (p <0.05). PNS children suffering from HLP had significantly higher BUN and lower eGFR levels than those with normal serum lipids (p <0.05). Serum Lp(a) was negatively correlated with eGFR (r = -0.36, p <0.05) in nephrotic children. In addition, Serum TG was also negatively correlated with eGFR (r = -0.45, p <0.05), While positively correlated with BUN (r = 0.43, p <0.05) in nephrotic children.

Conclusions: Lipid abnormalities may parallel with the reduction in renal function. On the other hand, the upregulations of serum lipid profiles, especially to Lp(a) and TG levels, can indeed accelerate cardiovascular risk in PNS children.