Journal of Fiber Bioengineering and Informatics
Journal of Fiber Bioengineering and Informatics (JFBI) is a peer-reviewed international journal to promote multidisciplinary research and collaborations across different fields in fiber science, engineering and technology. This quarterly published journal is fully committed to help authors to generate high impact research outputs in terms of academic citations, industrial applications and contributions to the society. It aims to create an international forum for exchanging novel ideas of research.
Fillers Compounding and Process Optimization of Polyamide Wet-coating
In view of the many problems in the coating of the trademark, such as the poor stability of the filler,\r the poor adhesive resistance and ink absorption of the fabric, the high pH value and insufficient printing\r stability, etc. this paper focuses on the study of two kinds of common inorganic fillers, wollastonite and\r kaolin, on the structure of the polyamide 6 coating film and the properties of the wet coating trademark\r fabric. The mixture of these two kinds of filler is applied to the coating slurry, and the ratio and dosage\r are optimized. On this basis, combined with production practice, the wet coating process conditions\r were optimized. The results showed that the mass ratio of wollastonite and kaolin is 1:1 (the mass of\r the filler is 22% of anhydrous methanol), the compatibility of coating slurry is higher than that of the\r coating slurry prepared from single wollastonite, it is not easy to settle, but also the dispersion of coating\r slurry is better than that of only kaolin, and the microporous structure on the surface of coating film\r is more uniform. Moreover, the coated fabrics presented higher ink absorption performance. When the\r coating temperature is 35 \u25e6C, the viscosity of the coating is 2\u223c3 Pa\u00b7s, the baking temperature is 160 \u25e6C,\r and the baking time is 80 s. The color fastness to the soaping color of the coated fabric reaches to grade\r 4-5, the printing effect reaches to 3-4, the whiteness and the fabric style are better.
Filler;Rheologic Properties;Mechanical Property;Polyamide Wet-coating;Process Optimization
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Evaluation and Comparison of Acoustic Performance and Thermal Conductivity of Spacer Fabrics
The utilization of 3-Dimensional (3D) porous textile materials by the civil and mechanical engineers for\r improved thermo-acoustic environment has widened the research scope. Unconventional three-dimensional\r textile material which grabs the attention of the researchers for multi-functional applications is spacer\r fabrics. Since spacer fabrics have superior thermal and acoustic characteristics compared to conventional\r woven/knitted structures or nonwovens due to their wonderful 3D porous nature. It has two outer layer\r connected with the help of monofilament or multifilament spacer yarn which kept the fabric bulkier\r with low density and highly breathable. Due to porous nature, interconnected pores, bulkier and 3D\r structure, the spacer fabrics have ability to attenuate more sound energy than the conventional materials.\r This research paper presents an experimental investigation on the sound absorption behaviour and\r thermal properties of warp knitted spacer fabrics. The Sound absorption coefficient (SAC) and thermal\r conductivity (K) were measured using two microphone impedance tube and Alambeta. This study deeply\r discusses the influence of material parameters and characteristics on acoustic properties of 3D spacer\r knitted fabrics. The results show that the fabric surface property, porosity, flow resistivity and tortuosity\r have significant effects on the sound absorption as well as thermal conductivity. With the obtained\r results, this work derives regression equations and correlation between noise absorption and thermal\r properties of spacer fabrics.
Noise Reduction Coefficient (NRC);3D Spacer Fabrics;Flow Resistivity;Thermal Conductivity
Biomimicry of Fibrous Materials: The Thermal Conductivity and morphology of Man-Made and Natural Fibrous Materials
With the aim to gain an appreciation of how nature insulates animal bodies with furs, in this exploratory\r study we investigated the TC and morphology of natural and synthetic fibrous materials. Specifically, we\r present our experimental observations on coyote, wolverine, and synthetic furs, as well as Polyacrylonitrile\r (PAN) nanofibers and knitted fabric. The TC was measured at a temperature range of \u221210 \u25e6C to 65 \u25e6C.\r The natural furs consist of fibers with different diameters and cuticular scale patterns. They form coreshell\r fibers with complex cellular structures in the core. The natural furs have lower TC compared to\r that of the synthetic fibrous structures. The coyote furs have the lowest TC value of \u223c 0.046 W/mK\r at \u221210 \u25e6C. While the TC of all of the samples decreased with temperature, the TC of the natural furs\r decreased at a higher rate and showed a different behavior with temperature, compared to the synthetic\r fibrous materials.
Thermal Conductivity;Natural Fur;HotDisc Method;Heat Transfer;Fibrous Materials
Development & Characterization of Alginate/Graphene Oxide Fibers with Improved Electrical Conductivity
Graphene has demonstrated extraordinary electrical, optical, thermal and mechanical properties. In last\r decade, a lot of research has been done to improve fabrication and solution processing of graphene to\r graphene oxide and reduced graphene oxide. Graphene oxide contains more number of oxygen containing\r functional groups which increase interlayer distance and make its dispersion easy in aqueous solutions.\r These advances in graphene have further improved its properties including tensile strength, elastic\r modulus, low resistance, carrier mobility and stability against higher temperatures and chemicals.\r Alginate is obtained from brown seaweeds and has potential applications in treatment of wounds and cell\r differentiation due to its non-toxicity, biodegradability and biocompatibility. It is a hydrophilic natural\r polysaccharide and provides moist and ideal environment for wound healing and cell growth. However,\r Alginate fibers still also display some unsatisfactory properties, such as low mechanical strength and\r electrical conductivity. Combining the intriguing properties of graphene and alginate, we develop smart\r composite fibers with suitable conductivity and mechanical strength which can be processed to nonwoven\r wound dressings and can be used as biosensors for medical applications. Sodium alginate/Graphene oxide\r fibers were fabricated by using wet spinning setup. The developed sodium alginate/graphene oxide fibers\r were further thermally and chemically reduced to improve conductivity. Their structure and properties\r were characterized by conductivity measurements, fiber strength testing, absorption behaviors, FTIR\r (Fourier transform infrared spectroscopy) and SEM (scanning electron microscope). The addition of\r graphene oxide improves the strength of sodium alginate/graphene oxide fibers due to high compatibility\r and even distribution of graphene oxide fillers in alginate matrix. Thermal and chemical reduction\r methods increase the conductivity of sodium alginate/graphene oxide fibers due to removal of oxygen\r containing groups. Chemical reduction method seems to have greater effect in improving the conductive\r properties of sodium alginate/graphene oxide fibers. These fibers also have good ability to absorb fluid\r and forms hydrogel to keep appropriate moist environment for wound healing which make them ideal\r material to develop smart wound dressings.
Alginate;Graphene;Conductivity;Fibers;Wet Spinning
Extraction of Natural Dye from Phellodendron Amurense and Its Photofading
Phellodendron amurense was used as natural dye source. Orthogonal experiment was carried out to select\r optimal extract process of phellodendron amurense dye. The orthogonal analysis results showed extract\r temperature was the most important factor. Stability investigation showed phellodendron amurense\r extract was stable to weak acid and alkaloid environment. Common metal ion had little effects on\r absorbance of phellodendron amurense extraction. Wool fabric and silk fabric had been dyed with\r phellodendron amurense aqueous solution. Solarization experiment showed high concentration dyeing\r sped up photofading rate and the dyed silk fabric was more sensible to the solarization. Vitamin C acid\r treatment slowed down photofading rate.
Natural Dye;Phellodendron Amurense;Extraction;Photofading
Influence of Fabric Properties on Clothing Thermal Comfort under Different Environmental Temperatures
Temperature greatly in fluences the choice of clothing type. It is difficult to study the effect of temperature on the performance of a garment and the used fabric, as changes in temperature varies signi\fcantly within a year, a season or even a day. This research paper studied the effect of fabric properties on human thermal comfort under different environmental temperatures. The main methodology entails using a CAD software to simulate clothing thermal comfort value of a garment made of 6 fabric types, then conducting analysis on the simulation results. The results indicate that fabrics perform better within a range of temperature. The further they stray from the range, the smaller the impact of the fabrics on human comfort. The results from the methodology also demonstrates that activity types and temperature greatly affect the comfort value.
Textile CAD technology;Mathematical modeling;Mathematical analysis;Big data model
Garment Pleats Modeling and Force Analysis Based on Different Yarn Directions
Pleating is a common modeling technique in the manufacturing of garments. As requirements for the style of pleats are gradually increasing, it is necessary to consider the pleats modeling and force conditions In this paper, draping experiments were carried out with the warp yarn on horizontal, vertical, and a 45\u25e6\u00a0angle (bias) for three types, After analyzing the modeling garment pleats, force conditions and comparing the angle of the resultant force, it can be concluded that the modeling and the force of the pleats varies with the direction of the yarn. The species of pleats are different and their modeling is forced differently. The results demonstrate that the modeling of draped pleats and sunray pleats-upper-length are mainly affected by gravity, the bias fabric was desirable in terms of roundness, symmetry and softness. For sunray pleats-whole-length style, the neckline, modeling, quantity and size of pleats, the stability of hem, and the effect of force should be rationally utilized to achieve the optimal styling. The modeling of mummy pleats was greatly affected by the stretch, the bias stripes were the optimal choice.
Pleat;Warp Direction;Draping;Modeling;Force Analysis
Relationship between Ease and Thermal Insulation of Men's Pyjamas Made of a Knitted Fabric with New Cotton Non-Twisted Hollow Yarn
We examined the relationship between ease of pyjamas and body on the thermal insulation of men's pyjamas made from a knitted fabric of a new cotton-based non-twisted hollow yarn to obtain design guidelines for higher heat retention. We made six sets of men's pyjamas that have different ease for the circumferences of chest, hip, and sleeve. We measured the heating power required for different parts of a thermal manikin to remain at a constant temperature when the manikin wore the pyjamas. We also measured the thermal insulation when the cuffs of the upper garment and the hems of the lower garment were closed with belts. To evaluate the effect of ease of wearing state on thermal insulation quantitatively, the differences of circumference and area of the cross-section between thermal manikin and a pyjama worn on the manikin were calculated from those 3D scanned data. We investigated the relationship between the heating power and the differences. As a result, the heat retention increased as the differences increased although there are variations depending on the location. There was almost no effect of convection from the cuffs and hems in the experimental environment without wind.
Knitted Fabric;Non-twisted Hollow Yarn;Pyjamas;Thermal Properties
Application of Visual Illusion Patterns on Modern Women's Knitwear Design
The jersey knitwear market occupies most of the knitting market due to its relatively simple manufacturing process and high public acceptance. Pattern design composed of some simple lines and geometric patterns usually applied to jersey knitwear, but it can not take advantage of knitting fabrics as much as possible. Therefore, in order to combine the merit of knitwear, the research process is as follows: firstly, learning about women's preferences for knitwear in their 30s and 50s through questionnaire distribution and in-store inquiries. Secondly, designing and producing urban women's knitwear collections with optical illusion patterns. The yarn used in this design experiment is mostly 100% 80s Australian wool, and the equipment is STOLL M1 plus--a computerized at knitting machine, all of which are provided and assisted by the FSF factory, Suzhou, China. It is \fnally determined that the jacquard pattern put into production is double-sided birdeye jacquard and air layer jacquard. In terms of the \fnal collection effect, the design ideas of \"Fake Two Pieces\" and \"Simulated Pleated Skirt\" are reflected in the collection named \"chengSHi\". The combination of knitwear and optical illusion patterns dramatically simpli\fes the production process and improves production efficiency owing to knitwear's one-piece weaving. Moreover, it also provides new inspiration for knitwear design.
Optical Illusion Pattern;Knitwear Design;Pattern Design;Visual Effects;Flat Knitting
Representation and Application of Jacket Knowledge Based on Domain Ontology
This paper takes jacket as an example, constructs a clothing knowledge model based on domain ontology, and explores ways to represent and reuse clothing knowledge in the context of the Internet economy. In this paper, jacket knowledge is sorted out based on the dimension of life week of clothing products, and the jacket knowledge framework is subdivided under the guidance of the modular design concept, laying a foundation for further application of the framework. The research shows that combining ontology modeling technology and knowledge representation, jacket domain ontology can be constructed to realize the classification of jacket design knowledge. This paper also further discusses the application prospect of jacket knowledge framework, which can play a guiding role in the customization of the jacket and modular design of the jacket, improve the reuse rate of jacket knowledge, and provide a feasible application mode for garment knowledge management.
Jacket;Product Life Cycle;Knowledge Classification;Knowledge Framework
Effect of Configuration of Protective Fabrics on Thermal Protective Performance under Steam Exposure
A novel steam simulator was employed in this study to evaluate thermal protective performance of protective clothing while exposing to steam hazard. Single- and double-layer fabric systems were selected, and different configurations of moisture barrier were exposed to steam hazard for investigating the effect of configuration of protective fabrics on the thermal protective performance. The skin bio-heat transfer and Henriques burn integral models were used to predict the required times to reach 2nd and 3rd degree skin burn. The results demonstrated that the thermal protective performance of protective clothing under steam exposure was determined by the air permeability, the thickness, the mass, and the surface properties of fabric. Even though the moisture barrier provided excellent protective performance for steam exposure, the configuration of moisture barrier presented a decisive influence on the role of moisture barrier. The findings obtained in this study provide technical data for the performance improvement of protective clothing under steam hazard.
Thermal Protective Performance;Steam Exposure;Protective Fabric;Configuration.
Fabrication and Characterization of Electrospun Nanofibrous Composite Membrane for Air Filtration
One kind of composite membrane by combining electrospun nanofibrous membrane with fiberglass mesh was developed for air filtration. The fiber diameter, morphology of membranes, pressure drop and filtration efficiency of composite membrane were evaluated. The results revealed that the pressure drop and filtration efficiency of composite membrane decreased with the increase of winding speed (the higher winding speed is, the less of nanofibers are). The pressure drop of all samples at an airflow speed of 5 m/min was less than 25 Pa, which was much lower than the values from other reported work; and the highest filtration efficiency of sample in this work was more than 83% for particulate matters with 1.88 \u0016m.
Electrospinning;Nanofiber;Light Transmittance;Pressure Drop;Filtration Efficiency.
Si Cheng, Yuan-Xiang Xiao, Lian-Ying Zhao, Lv-Tao Zhu, Ren-Long Li, Guo-Cheng Zhu
Structural Design and Fabrication of Silk/Polyester-Based Bifurcated Stent-Graft
The present paper describes the structural design and fabrication of silk fibroin (SF)/polyester (PET)- based bifurcated stent-graft (BSG) using orthogonal experimental design (OED) and range analysis (RA). An orthogonal design comprising of three factors was used, including basic weave, warp x weft density and warp x weft materials, each factor contains three different levels. As a result, nine kinds of BSGs with different weaves, densities and materials were prepared using a modified rigid rapier weaving loom. Water permeability and wall thickness were evaluated according to standard protocols (ISO 7198: 2016). Furthermore, weaving process was optimized and RA was used to detect how performance was affected by factors. The results showed that the thickness of almost all samples is near or less than 0.1 mm, which is required for BSG used in endovascular graft exclusion. Whereas, the water permeability is with a large variation compared to thickness, because BSGs made of pure SF possess significant lower water permeability than that made of pure PET or SF-PET mixed. The water permeability of sample g is only 5.19 ml/(cm2\u00a0x min), which can prevent blood leakage after transplantation according to the standard. In conclusion, the SF-based BSG has better performance in terms of water permeability, which is more suitable as BSG used in endovascular exclusion.
Bifurcated Stent-graft;Silk;Woven;Wall Thickness;Water Permeability;Orthogonal Experimental Design.
Ze-Kun Liu, Gang Li, Yi Li, Yu-Ling Li, Xiao-Qin Wang
Grafting of Poly (Cysteine Methacrylate) Brush from Polysulfone Membrane via Surface-Initiated ATRP and Their Anti-Protein Fouling Property
In this paper, we first grafted the poly cysteine methacrylate (pCysMA) brush on polysulfone membrane by surface-initiated atomic-transfer radical polymerization and studied for their antifouling properties. The surface topological structure, chemical composition, and wettability of the as-prepared surface are characterized by scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), atomic force microscopy (AFM), fourier transform infrared spectra (ATR-FTIR), and water contact angle (WCA) measurements. The hydrophilicity and anti-biofouling activities of the polymer brush surface were evaluated by protein adsorption test. The results displayed that the pCysMA shows better hydrophilicity and effectively resisted the adsorption of bovine serum albumin (BSA) protein.
Polysulfone;Cysteine;ATRP;protein adsorption.
Ling Yang, Si-tian Ma, Huan Xia, Yi-ming Bu. Jing-jing Huang, Shao-jin Gu
Thermal Insulation Properties of Electrospun Nanofibrous Layers
The aim of the study is to understand the heat transfer behavior of low-density nanofibrous layers. Understanding heat transfer through nanofibrous layers embedded with silica aerogel structures will allow us to explore the unique properties of polymer nanofibers for high performance textile applications. It was intended to study the mechanisms of heat transfer through fibrous insulation where the fiber diameter is less than 1 micrometer (\u0016m). Flexible electrospun PUR and PVDF nanofibrous layers embedded with silica aerogel was produced using electrospinning process. Further, the thermal properties of the electrospun nanofibrous layers embedded with SiO2\u00a0aerogel was analyzed to find their application in enhanced thermal insulation. The thermal properties of the samples were evaluated and statistically analyzed. The microscopic examination confirmed presence of aerogel particles. The results showed enhancement of thermal insulation by increasing the number and the weight per unit area of both nanofibrous layers. The results confirmed that embedding silica aerogel in nanofibrous layers leads increased thermal insulation. From the study, it can be concluded that nanofibrous layers can provide efficient thermal insulation.
Nanofiber;Aerogel;Thermal Insulation;Conduction;Heat Transfer.
Mohanapriya Venkataraman, Rajesh Mishra, Jiri Militky, Jaromir Marek, Klara Kucerova, Juming Yao, Guocheng Zhu
Part Recognition Method Based on Visual Selective Attention Mechanism and Deep Learning
In order to enable the industrial robots to recognize the specific targets quickly and accurately on the\r assembly line, an object recognition method driven by visual selective attention mechanism is proposed.\r With mass training data and a machine learning model containing a number of hidden layers, deep\r learning can learn more useful features, and thus ultimately improve the classification or the prediction\r accuracy. The main idea of this method is as follows: for all part images, the visual attention mechanism\r is used to choose salient regions in an image, achieving the goal of target segmentation. Then an\r image recognition method based on deep learning is applied to recognize the chosen salient regions.\r Experimental results show the effectiveness of the proposed method and the cognitive rationality.
Visual Selective Attention Mechanism;Part Recognition;Deep Learning;Feature Learning
Gender Comparison of Image Perception and Preferences for Spring • Summer Shirt Yarn-dyed Fabrics
The research proposes to extract data of male and female consumers' image perception and preferences\r in yarn-dyed fabrics for spring and summer shirts. The Semantic Differential (SD) evaluation on\r representative fabric samples by two groups of subjects was accomplished following the standardized\r sensory evaluation procedures. The differences in terms of image perception in yarn-dyed fabrics between\r male and female subjects was identified through Levene homogeneity variance test and independent\r samples T-test, and the evaluation factors of subjects' image perception was classified into 6 factors\r through factor analysis. The relationships between image word-pairs and subjects' preferences were\r validated with regression analysis. Experiment results show an evident difference in terms of image\r perceptions, preferences and the factors affecting preferences of the yarn-dyed fabrics between male\r and female subjects. The quantitative data could consequently provide guidance to help designing and\r producing differentiated yarn-dyed fabrics for designated sex consumers.
Yarn-dyed Fabric;Gender;Image Perception;Preference;Factor Analysis
Xiaoxi Zhou, Hui\u2019e Liang & Zhiya Dong
Adjacent Local Binary Patterns Based on Color Space Fusion for Color Image Classification
In this paper, we propose an improved image feature descriptor based on Local Binary Pattern, which is\r called Adjacent Local Binary Patterns based on Color Space Fusion (ALBPCSF). The proposed method\r fuses color feature and spatial relations. ALBPCSF uses the channel values of RGB and HSV color spaces\r to calculate the color feature. Then the proposed method considers the spatial relations which will be\r combined with the color feature. Finally, an image classification system framework based on ALBPCSF\r is given. In order to validate the performance, our method is compared with previous methods on Corel\r 1000 and MIT Vision Texture datasets. The results show that our approach is superior than other\r methods in color image classification.
Local Binary Pattern;Color Texture;KNN;Image Classification
Shengsheng Wang, Dezhi Huang, Haiyang Jia, Dong Li & Bolou Bolou Dickson
A Novel Algorithm for the Real-time Analysis of Uterine Contraction Status
Against the problems of existing uterine contraction identification algorithms, mainly in the\r inapplicability to real-time identification of the characteristic points of uterine contraction wave, a novel\r method based on a series of criteria for real-time analysis is proposed in this paper. After confirming the\r beginning, end and peak of the analyzed segment, a series of criterion are used to identify the status of\r current uterine contraction point. Meanwhile, the status of current uterine contraction point is corrected\r by a buffer mechanism to ensure accuracy. The experiments show that the conformity between the realtime\r analysis results and two experts' analysis results are high, and the kappa coefficients are as high\r as 0.874 and 0.872. Moreover, the time required for the analysis of a uterine contraction point is only\r 0:0032\u00060:0002 (mean \u00b1 SD) seconds, which is far less than the acquisition and output time of a uterine\r contraction point by pressure probe. Therefore, the proposed method can meet the requirements of\r real-time analysis in both accuracy and efficiency.
Uterine Contraction Status;Real-time Analysis;Characteristic Point
Zhaoxia Chen, Yaosheng Lu, Duoying Zhang, Xiaodong Li & Renhuan Yang
Research on Non-rigid Structure from Motion: A Literature Review
Non-rigid Structure from Motion (NRSfM) is a classical computer vision problem. And the main methods\r used to solve it are in general based on shape models or trajectory models. This paper will provide an\r overview over kinds of solutions proposed in these researches. It not only gives out the theoretical\r insights proposed by researchers in recent years, but also discusses them with their pros and cons. At\r the same time, the progress of the research about this topic is described in detail and its long-term trend\r is introduced at the end. This paper is very easy to understand, which mainly introduces two practical,\r everyday models for the NRSfM problem, namely trajectories based model and shape based model. Both\r of them are based on matrix factorization technology. Inevitably, some relevant optimization methods\r are mentioned to solve the projection matrix and corresponding coefficients effectively.
Non-rigid Structure From Motion;Optimization Methods;Shape Models;Matrix Factorization;Trajectory Basis;Discrete Cosine Transform
Yaming Wang, Xiaomeng Yan, Mingfeng Jiang & Junbao Zheng
Noninvasive Ambulatory Hemodynamic Monitoring Based on Electrocardiogram and Impedance Cardiography
Two different noninvasive ambulatory hemodynamic monitoring devices (belt-type and chest-type) based\r on Electrocardiogram (ECG) and Impedance Cardiography (ICG) has been designed, fabricated and\r tested. Hardware designs of the two ambulatory hemodynamic monitoring devices based on Tetrapolar\r configuration and placement of the electrodes were introduced. Hemodynamic parameters such as Stroke\r Volume (SV), Cardiac Output (CO) and Cardiac Index (CI) can be estimated according to Kubicek\r Formula by extracting characteristic points and characteristic periods in the ICG Signal. CI is CO\r divided by body surface area. CI is comparable among different people because it is not influenced\r by the body height and weight. The body's physiological responses to postural change are primarily a\r reaction to the change of gravity, because change of gravity can cause changes of blood flow distribution\r in organs and tissues. Different body postures (upright or supine) can result in reducing or rising of\r CO. The detection accuracy has also been validated with a commercial ICG detection instrument from\r Mindray company, and the correlation coefficient is 0.83.
Electrocardiogram;Impedance Cardiography;Noninvasive Ambulatory Hemodynamic Monitoring;Characteristic Points;Cardiac Output;Cardiac Index;Postural Change
A Survey of Major Techniques of Clothing in Vision
Clothing in vision plays an important role in many applications of digital clothing, virtual fitting, fashion\r design and manufacturing. The research of clothing in vision is full of technical challenges, such as\r background detection and features extraction. In this paper, we introduce the latest remarkable works\r of clothing in vision area, including clothing segmentation, clothing recognition and clothing retrieval.\r There are many remarkable advances on the basis of the predecessors' achievements in the three fields.\r Firstly, we provide an overview of the techniques for clothing segmentation and clothing recognition.\r Then, we introduce and analyze the representative works on clothing retrieval. Finally, we forecast\r broader application prospect and future research work of clothing in vision.
Clothing in Vision;Clothing Segmentation;Clothing Recognition;Clothing Retrieval
Dongyan Huang, Li Liu, Xiaodong Fu, Lijun Liu & Qingsong Huang
Daylight-triggered Directional Water Transport Fabric Prepared with TiO2 Sol-gel Method
To build directional water transport fabric, cotton knitting fabric was finished with TiO_2 sol by two\r methods: padding and spray. After finishing, the fabrics were irradiated in a self-made UV light box,\r during which the water contact angle and directional water transport ability were tested. It was found\r that the fabrics's irradiated side turned from hydrophobic to superhydrophilic within 2 hours, and after\r 2 hours's irradiation they would recover to hydrophobic within 2 hours. The fabric's directional water\r transport ability increased with the extend of irradiation time. The sprayed fabric responded more\r quickly than the padded fabric and took less time to recover than the padded fabric. But the padded\r fabric had higher maximum one-way water transport capacity.
Directional Water Transport;Reversible Wettability;Daylight Triggered;TiO_2 Nanosol
Huiqin Li, Xibo Hao, Jixian Gong, Qiujin Li, Jianfei Zhang & Zhenxiang Ding
Research of Biometric Key Generation Based on Fingerprint Bit-strings
Biometric key technology is the organic combination of biometric encryption technology and traditional\r cryptography. Biometric key can directly encrypt data or encrypt key, with the character of portable use\r and not easily being stolen, forgotten and broken. This article provides an algorithm for generating key\r based on the fingerprint feature bit-strings, extracting \fngerprint feature information with bit-strings\r form as first step, generating key by the combination of this feature information and BCH error correcting\r code secondly. Experiments show that the algorithm can generate stable key of encryption on the premise\r of protecting the user's \fngerprint information. It can further improve the security strength and reach\r two-factors protection if the biometric key is stored in the smart card, which has certain practical value.
Fingerprint;Fuzzy Schemes;Bit-strings;Error-correcting Code;Biometric Encryption
Chengyang Xie, Jiayong Liu, Xu Yao & Dianhua Tang
Design of Functional Bellyband for Pregnant Women
This study has investigated the physical characteristics and needs of pregnant women to introduce a\r scientific and practical design of bellyband to satisfy pregnant women demand. Structure and material\r of supporting bellyband have been introduced in the study and its functional rationality also has been\r verified by many testers. Finally, the experiment result has been proved that the design of supporting\r bellyband has helped pregnant women to ease the burden of their waist efficiently and effectively after\r analysed the result very carefully.
Pregnant Women;Supporting Bellyband;Functionality;Comfort
3D Garment Segmentation Based on Semi-supervised Learning Method
In this paper, we propose a semi-supervised learning method to simultaneous segmentation and labeling\r of parts in 3D garments. The key idea in this work is to analyze 3D garments using semi-supervised\r learning method which can label parts in various 3D garments. We first develop an objective function\r based on Conditional Random Field (CRF) model to learn the prior knowledge of garment components\r from a set of training examples. Then, we exploit an effective training method that utilizes JointBoost\r classifiers based on the co-analysis for garments. And we modify the JointBoost to automatically cluster\r the segmented components without requiring manual parameter tuning. The purpose of our method is\r to relieve the manual segmentation and labeling of components in 3D garment collections. Finally, the\r experimental results show the performance of our proposed method is effective.
Semi-supervised;Segmentation;Co-analysis;Conditional Random Field;3D Garments
Mian Huang, Li Liu, Ruomei Wang, Xiaodong Fu & Lijun Liu
Two-step Registration in 3D Human Body Scanning Based on Multiple RGB-D Sensors
In this paper, we propose a universal registration method for the body scanner consists of multiple\r fixed sensors. Firstly, a new double-faced checkerboard is designed to apply calibration method into the\r initial estimations of the relative poses of point clouds. Secondly, ICP (Iterative Closet Point) algorithm\r is utilized for further registration. Since ICP algorithm may fail in situations of outliers, ambiguity or\r missing data, we make full use of the geometry feature of creased papers to solve these problems. A new\r body scanning system with fast capture speed is also proposed to validate our method. The experiment\r results demonstrate our approach is robust and fast.
Body Scanning;RGB-D Sensor;Calibration;Registration;ICP
Pengpeng Hu, Yue-Qi Zhong, Ge Wu & Duan Li
PSO-based Medical Image Processing for Kienbock Biomechanical Analysis
Through the lunate bone biomechanical analysis can be used for kienb\u00f6ck medical diagnosis and treatment.\r The pressure sensitive film can reflect intuitively the stress of lunate bone's each point. This paper obtains\r stress analysis of lunate bone based on PSO (Particle Swarm Optimization) algorithm's image analysis\r and processing of pressure sensitive film. The paper uses the grayscale function to change a target image\r into the grayscale image, and uses the PSO algorithm for function optimization to segment image with\r the original image. Then we obtain remaining achieving gray value, and calculate the pressure. Through\r the analysis of the experimental data, we obtain the maximum value, minimum value and average value\r of the pressure. The analysis of processing results showed that the PSO algorithm could segment the\r image accurately and the remaining larger pixel gray values concentrated in the three fossa of lunate\r bone. The results verify the accuracy and efficiency of the method.
Medical Image Processing;PSO;Kienböck;Biomechanical
Xiaoyan Jia, Jindong Zhang, Bin Liu, Yuehai Pan, Zhigang Liu & Kai Liu
Non-contact Human Body Measuring Technology Based on Camera Calibration Technique
The basic theory of camera calibration is firstly introduced in this paper. The model of camera distortion\r is put forward. And discussed the parameters and the calibration process of the mathematical model of\r 3D human body reconstruction. In the process of camera calibration, an improved algorithm based on\r the two steps is proposed. This method has low requirements on experimental. This method has low\r requirement to experiment, and only with coplanar points to calibrate. By the process of fractional step\r calibration, the nonlinear equation is linear, which is beneficial to improve the calibration accuracy.
Non-contact Human Body Measurement;Camera Calibration;The Radial Distortion;Non-linear Model
The Algorithm of ICA Based on PCA for Fabric Defect Detection
The Independent Component Analysis (ICA) algorithm based on Principal Component Analysis (PCA)\r is described in this paper to achieve the raw textile defect detection. In the first step, the observed\r matrix X is constructed from a large number of defect-free sub-images and PCA is operated to achieve\r dimension reduction. In the second step, the transformation matrix W and independent basis subspace\r s are obtained from defect-free sub-images through ICA. In the final step, feature extraction is achieved\r from the overlapping sub-windows of a test image. Then a sub-window is classified as defective or nondefective\r according to Euclidean distance. The results have been analyzed in detail and illustrated this\r approach has better performance in raw textile.
Textile Defect Detection;Feature Extraction;Principal Component Analysis;Independent Component Analysis Heading;Introduction;Times New Roman;Number
Junfeng Jing, Juan Zhao, Pengfei Li, Hongwei Zhang & Lei Zhang