Patrick Chi-leung Hui

Cryptography and authentication on RFID passive tags for apparel products

Public authorities and business communities in apparel industry of Hong Kong are looking for an effective method to identify counterfeited products. RFID technology provides a tool to address these problems. This paper presents a new approach using lightweight cryptography and a simple authentication method based on hash function for RFID Class 1 passive tags. Tags are embedded inside apparel products, such as garments or high-value apparel accessories. To determine whether a product is counterfeit, tag authentication on that apparel product can be performed and this will advise us whether the apparel product is genuine or faked. The proposed method has been compared with other basic approaches for tag authentication. It was found that the proposed method is effective and its operation is reliable. The proposed method would be useful to the existing apparel retail applications, particularly in the point-of-sale applications (POS).

A new fuzzy approach to improve fashion product development

This study attempts to use a fuzzy expert system with gradient descent optimization for prediction of fabric specimens in fashion product development. Compared with the traditional methods used fabric mechanical properties to predict fabric specimens, our advisory system accepts fabric hand descriptors which are more closely related to the sensory judgments made by individuals during fabric selection. Fifty participants were selected to evaluate the performance of the proposed fuzzy fabric advisory system. They were asked to express their preferred fabric specimen on inputs of the 14 bipolar fabric hand descriptors in the system. The fuzzy prediction rules associated with the membership functions of each fabric specimen were developed from a survey. After fine-tuning of the proposed system, the prediction accuracy is over eighty percent. The outcomes of this study could help consumers to select the most appropriate fabric and provide field practitioners appropriate suggestions for effective product development in clothing and fashion industries.

Handling the assembly line balancing problem in the clothing industry using a genetic algorithm

Assembly line balancing problems that occur in real world situations are dynamic and are fraught with various sources of uncertainties such as the performance of workers and the breakdown of machinery. This is especially true in the clothing industry. The problem cannot normally be solved deterministically using existing techniques. Recent advances in computing technology, especially in the area of computational intelligence, however, can be used to alleviate this problem. For example, some techniques in this area can be used to restrict the search space in a combinatorial problem, thus opening up the possibility of obtaining better results. Among the different computational intelligence techniques, genetic algorithms (GA) is particularly suitable. GAs are probabilistic search methods that employ a search technique based on ideas from natural genetics and evolutionary principles. In this paper, we present the details of a GA and discuss the main characteristics of an assembly line balancing problem that is typical in the clothing industry. We explain how such problems can be formulated for genetic algorithms to solve. To evaluate the appropriateness of the technique, we have carried out some experiments. Our results show that the GA approach performs much better than the use of a greedy algorithm, which is used by many factory supervisors to tackle the assembly line balancing problem.

Anti-Inflammatory and Anti-Allergic Activities of Pentaherb Formula, Moutan Cortex (Danpi) and Gallic Acid

Pentaherb formula (PHF) has been proven to improve the quality of life of children with atopic dermatitis without side effects. The aim of this study was to elucidate the potential anti-inflammatory and anti-allergic activities of PHF, Moutan Cortex (Danpi/DP) and gallic acid (GA) using human basophils (KU812 cells), which are crucial effector cells in allergic inflammation. PHF, DP and GA could significantly suppress the expression of allergic inflammatory cytokine IL-33-upregulated intercellular adhesion molecule (ICAM)-1, and the release of chemokines CCL2, CCL5, CXCL8 and inflammatory cytokine IL-6 from KU812 cells (all p < 0.05). With the combined use of dexamethasone (0.01 μg/mL) and GA (10 μg/mL), the suppression of ICAM-1 expression and CCL5 and IL-6 release of IL-33-activated KU812 cells were significantly greater than the use of GA alone (all p < 0.05). The suppression of the IL-33-induced activation of intracellular signalling molecules p38 mitogen activated protein kinase, nuclear factor-κB and c-Jun amino-terminal kinase in GA-treated KU812 cells could be the underlying mechanism for the suppression on ICAM-1, chemokines and cytokines. The combined use of dexamethasone with the natural products PHF or DP or GA might therefore enhance the development of a novel therapeutic modality for allergic inflammatory diseases with high potency and fewer side effects.

Application of artificial neural networks to the prediction of sewing performance of fabrics

Purpose – This paper aims to investigate the use of artificial neural networks (ANN) to predict the sewing performance of fabrics. The purpose of this study is to verify the ANN techniques that could be emulated as human decision in the prediction of sewing performance of fabrics.Design/methodology/approach – In order to verify the ANN techniques that could be emulated as human decision in the prediction of sewing performance of fabrics, 109 data sets of fabrics were tested by using fabric assurance by simple testing system and the sewing performance of each fabrics specimen was assessed by the domain experts. Of these 109 input‐output data pairs, 94 were used to train the proposed backpropagation (BP) neural network for the prediction of the unknown sewing performance of a given fabric, and 15 were used to test the proposed BP neural network.Findings – After 10,000 iterations of training of BP neural network, the neural network converged to the minimum error level. The experimental results reveal the gr...

Fuzzy operator allocation for balance control of assembly lines in apparel manufacturing

Production processes in apparel manufacturing typically involve hybrid assembly lines. In order to perform at predetermined production rates, careful balance control of the sewing operations on these assembly lines is very important. The right number of operators to be moved in and out of a sewing section has to be accurately determined. In this paper, the authors extend the literature on fuzzy logic applications to control systems by proposing a simple, yet effective, rule-based system that captures the knowledge of experienced supervisors in a set of fuzzy rules. These rules specify how balance control can be achieved based on the level of difference between; (1) the actual and target buffer level; and (2) the actual and target section performance. Since these parameters are normally expressed in linguistic terms, they are encoded in rules expressed with fuzzy logic. The number of operators to be moved in and out of a sewing section can, therefore, be determined by means of fuzzy inferences. To evaluate the effectiveness of the system, we compared its performance to the decisions made by experienced supervisors at a large shirt factory. The system was found to increase in production efficiency by 30%.

Microencapsulation of Traditional Chinese Herbs—PentaHerbs extracts and potential application in healthcare textiles

In this work, Traditional Chinese Herbs (TCH)-PentaHerbs--was successfully microencapsulated in chitosan-sodium alginate (CSA) blend matrix using emulsion-chemical cross-linking method and the final product was characterised with regard to structure, surface morphology, particle size, in vitro drug release and skin toxicity by means of Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), laser diffraction particle size analysis, high performance liquid chromatography (HPLC) and methyl thiazolyl tetrazolium (MTT) and lactate dehydrogenase (LDH) release assays respectively. Results showed that the microcapsules were in spherical form with diameter mostly in the range of 3-18 μm and that the release performance of the microcapsules was influenced by pH value of phosphate buffer solution (PBS). The microcapsules had no toxic effects on cells and were successfully grafted onto the surface of cotton fabrics. These results indicated that PentaHerbs loaded CSA microcapsule may possess potential application in clinical treatment of atopic dermatitis (AD).

Dual-functional transdermal drug delivery system with controllable drug loading based on thermosensitive poloxamer hydrogel for atopic dermatitis treatment.

The treatment of atopic dermatitis (AD) has long been viewed as a problematic issue by the medical profession. Although a wide variety of complementary therapies have been introduced, they fail to combine the skin moisturizing and drug supply for AD patients. This study reports the development of a thermo-sensitive Poloxamer 407/Carboxymethyl cellulose sodium (P407/CMCs) composite hydrogel formulation with twin functions of moisture and drug supply for AD treatment. It was found that the presence of CMCs can appreciably improve the physical properties of P407 hydrogel, which makes it more suitable for tailored drug loading. The fabricated P407/CMCs composite hydrogel was also characterized in terms of surface morphology by field emission scanning electron microscopy (FE-SEM), rheological properties by a rheometer, release profile in vitro by dialysis method and cytotoxicity test. More importantly, the findings from transdermal drug delivery behavior revealed that P407/CMCs showed desirable percutaneous performance. Additionally, analysis of cytotoxicity test suggested that P407/CMCs composite hydrogel is a high-security therapy for clinical trials and thus exhibits a promising way to treat AD with skin moisturizing and medication.

Preparation and characterisation of chitosan microcapsules loaded with Cortex Moutan

The process of preparation and characterisation of chitosan microcapsules loaded with Cortex Moutan was studied and the optimum condition for microcapsule preparation was investigated by orthogonal array analysis. Based on the yield percentage of microcapsule, the optimum condition for microcapsule preparation was (i) core-shell ratio=1:2; (ii) chitosan concentration=6% (w/v); (iii) agitation speed=1100 rpm; and (iv) cross-linking time=90 min. Meanwhile, relative importance of the preparation parameters was in the order: core-shell ratio, agitation speed, chitosan concentration and cross-linking time. The Fourier transform infrared spectroscopy analysis revealed that Cortex Moutan has been completely encapsulated into chitosan microcapsule. The release rate of Cortex Moutan from microcapsules in pH 5.4 phosphate buffered saline (PBS) was slightly better than that in pH 5.0 PBS after the initial 48 h and the release rate became steady after that.

In vitro drug release and percutaneous behavior of poloxamer-based hydrogel formulation containing traditional Chinese medicine

For the treatment of atopic dermatitis (AD), we have developed a transdermal functionalized textile therapy based on thermosensitive poloxamer 407 (P407) hydrogel containing a traditional Chinese herbal medicine. This study aims to investigate the effects of various formulation variables of P407/carboxymethyl cellulose sodium (P407/CMCs) composite hydrogel on the release of Cortex Moutan (CM) extract. Concentrations of P407 and CMCs showed significant influence on the release due to alteration of bulk viscosity of the system. An increase in pH values of release medium was found to appreciably impede the release of polar drug (CM) due to ionization. Elevated temperatures were also shown to facilitate the drug release. Moreover, the diffusional release behavior of CM from P407/CMCs composite hydrogel was found to follow the first-order kinetic model. Additionally, transdermal studies showed that permeability of the drug through the skin can be enhanced with addition of CMCs in the hydrogel formulation.