Study on research mode of smart safety outfits system for children

According to the special characteristics of children’s body and mind and the concept of human–computer interaction, the research and development model of children’s intelligent safety clothing is explored and a A practical research model. Based on the multi–dimensional needs of consumers for children’s clothing and the performance of smart components, we explore the combination of smart wearable equipment and children’s safety clothing, and propose a design process architecture that takes into account function and aesthetics. Through the analysis of the connection technology between smart clothing and mobile terminals, we propose the idea from single interaction to multi–device co–connection, and establish a multi–interaction smart clothing based on the optimal allocation of energy and high. Through the analysis of the connection technology between smart clothing and mobile terminals, we propose the idea of moving from single interaction to multi–device co–connection, and establish the R&D process of multi–interaction smart wearable devices based on optimal energy allocation and efficient information transmission

Etude de relations entre les perceptions visuelles et haptiques des produits textiles

Pour ces travaux de thèse, nous proposons pour la première fois une méthodologie systématique pour étudier les propriétés tactiles de tissu au travers de perceptions visuelles. Tout d’abord, nous étudions les bases physiologiques et cognitives des perceptions visuelles et haptiques des propriétés tactiles des tissus. Ensuite, une hypothèse fondamentale est proposée pour que les propriétés tactiles des tissus puissent être interprétées à travers nos yeux. Afin de vérifier cette hypothèse, des expériences sensorielles ont été conduites sur un nombre important de produits textiles selon trois différents scénarii : vidéo, image et toucher réel. Une nouvelle approche basée sur le concept de degré d’inclusion est développée pour étudier les relations entre les données tactiles obtenues à partir des différentes modalités sensorielles. De cette manière, nous concluons qu’il est tout à fait possible de percevoir les propriétés tactiles des tissus à travers des représentations visuelles. Ceci confirme l’hypothèse proposée précédemment. En nous appuyant sur ces résultats, afin d’explorer le mécanisme interprétatif de la vision, nous effectuons de nouvelles expériences sensorielles, permettant d’évaluer respectivement les caractéristiques visuelles et les propriétés tactiles des échantillons. Ensuite, nous modifions l’approche mathématique proposée précédemment afin de mesurer les relations de type un à plusieurs, de manière à extraire pour chaque propriété tactile d’un ensemble de caractéristiques visuelles les plus pertinentes. Enfin, ANFIS (un réseau neuronal combinant les techniques floues) est utilisé pour modéliser et interpréter quantitativement ces relations.In the current thesis, we propose for the first time a systematic methodology to study fabric tactile properties through visual perceptions. First of all, we investigate the physiological and cognitive basis of visual and haptic perceptions of fabric tactile properties. Next, we propose a fundamental hypothesis that fabric tactile properties can be, to a big extent, interpreted through our eyes. In order to verify this hypothesis, sensory experiments are carried out on a number of textile products in video, image and real-touch scenarios. A novel approach based on the concept of inclusion degree is developed to study the relations between the tactile data obtained from different sensory modalities. From this study, we conclude that it is possible to perceive fabric tactile properties through visual representations, which confirms the previously proposed hypothesis. On this basis, in order to further explore the visual interpretative mechanism, new sensory experiments are organized to evaluate samples’ visual features and tactile properties, respectively. The previously proposed mathematical approach is modified to be able to measure multiple-to-single relations so as to extract for each tactile property a set of relevant visual features on it. Finally, a fuzzy neural network (Adaptive network-based fuzzy inference system, in short ANFIS) is developed to model the obtained interpretative relationships

Etude de relations entre les perceptions visuelles et haptiques des produits textiles

Pour ces travaux de thèse, nous proposons pour la première fois une méthodologie systématique pour étudier les propriétés tactiles de tissu au travers de perceptions visuelles. Tout d abord, nous étudions les bases physiologiques et cognitives des perceptions visuelles et haptiques des propriétés tactiles des tissus. Ensuite, une hypothèse fondamentale est proposée pour que les propriétés tactiles des tissus puissent être interprétées à travers nos yeux. Afin de vérifier cette hypothèse, des expériences sensorielles ont été conduites sur un nombre important de produits textiles selon trois différents scénarii : vidéo, image et toucher réel. Une nouvelle approche basée sur le concept de degré d inclusion est développée pour étudier les relations entre les données tactiles obtenues à partir des différentes modalités sensorielles. De cette manière, nous concluons qu il est tout à fait possible de percevoir les propriétés tactiles des tissus à travers des représentations visuelles. Ceci confirme l hypothèse proposée précédemment. En nous appuyant sur ces résultats, afin d explorer le mécanisme interprétatif de la vision, nous effectuons de nouvelles expériences sensorielles, permettant d évaluer respectivement les caractéristiques visuelles et les propriétés tactiles des échantillons. Ensuite, nous modifions l approche mathématique proposée précédemment afin de mesurer les relations de type un à plusieurs, de manière à extraire pour chaque propriété tactile d un ensemble de caractéristiques visuelles les plus pertinentes. Enfin, ANFIS (un réseau neuronal combinant les techniques floues) est utilisé pour modéliser et interpréter quantitativement ces relations.In the current thesis, we propose for the first time a systematic methodology to study fabric tactile properties through visual perceptions. First of all, we investigate the physiological and cognitive basis of visual and haptic perceptions of fabric tactile properties. Next, we propose a fundamental hypothesis that fabric tactile properties can be, to a big extent, interpreted through our eyes. In order to verify this hypothesis, sensory experiments are carried out on a number of textile products in video, image and real-touch scenarios. A novel approach based on the concept of inclusion degree is developed to study the relations between the tactile data obtained from different sensory modalities. From this study, we conclude that it is possible to perceive fabric tactile properties through visual representations, which confirms the previously proposed hypothesis. On this basis, in order to further explore the visual interpretative mechanism, new sensory experiments are organized to evaluate samples visual features and tactile properties, respectively. The previously proposed mathematical approach is modified to be able to measure multiple-to-single relations so as to extract for each tactile property a set of relevant visual features on it. Finally, a fuzzy neural network (Adaptive network-based fuzzy inference system, in short ANFIS) is developed to model the obtained interpretative relationships.LILLE1-Bib. Electronique (590099901) / SudocSudocFranceF

The Status Quo and Prospect of Sustainable Development of Smart Clothing

With the booming development of the Internet and AI (Artificial Intelligence), smart clothing has emerged to meet consumers’ personalized needs in healthcare, work, entertainment, etc., and has rapidly become a hotspot in the clothing industry and research field. However, as smart clothing gets popular, sustainability issues are becoming increasingly prominent during its development and circulation. To explore the status quo of the sustainable development of smart clothing, from the perspective of the industry chain, this paper discusses its challenges during raw material supply, design, manufacturing, storage, logistics and recycling. Based on these challenges and the characteristics of smart clothing and the future trend of the apparel industry, some countermeasures are put forward from three aspects: design, raw material and supply chain management. This review aims to arouse the reflection of practitioners and provide feasible suggestions for the healthy and lasting development of the apparel industry, also hoping to offer references for other industries

Oxidative Stress and Inflammatory Biomarkers for Populations with Occupational Exposure to Nanomaterials: A Systematic Review and Meta-Analysis

Exposure to nanomaterials (NMs) is suggested to have the potential to cause harmful health effects. Activations of oxidative stress and inflammation are assumed as main contributors to NM-induced toxicity. Thus, oxidative stress- and inflammation-related indicators may serve as biomarkers for occupational risk assessment. However, the correlation between NM exposure and these biomarkers remains controversial. This study aimed to perform a meta-analysis to systematically investigate the alterations of various biomarkers after NM exposure. Twenty-eight studies were found eligible by searching PubMed, EMBASE and Cochrane Library databases. The pooled results showed NM exposure was significantly associated with increases in the levels of malonaldehyde (MDA) [standardized mean difference (SMD) = 2.18; 95% confidence interval (CI), 1.50–2.87], 4-hydroxy-2-nonhenal (HNE) (SMD = 2.05; 95% CI, 1.13–2.96), aldehydes C6-12 (SMD = 3.45; 95% CI, 2.80–4.10), 8-hydroxyguanine (8-OHG) (SMD = 2.98; 95% CI, 2.22–3.74), 5-hydroxymethyl uracil (5-OHMeU) (SMD = 1.90; 95% CI, 1.23–2.58), o-tyrosine (o-Tyr) (SMD = 1.81; 95% CI, 1.22–2.41), 3-nitrotyrosine (3-NOTyr) (SMD = 2.63; 95% CI, 1.74–3.52), interleukin (IL)-1β (SMD = 1.76; 95% CI, 0.87–2.66), tumor necrosis factor (TNF)-α (SMD = 1.52; 95% CI, 1.03–2.01), myeloperoxidase (MPO) (SMD = 0.25; 95% CI, 0.16–0.34) and fibrinogen (SMD = 0.11; 95% CI, 0.02–0.21), and decreases in the levels of glutathione peroxidase (GPx) (SMD = −0.31; 95% CI, −0.52–−0.11) and IL-6 soluble receptor (IL-6sR) (SMD = −0.18; 95% CI, −0.28–−0.09). Subgroup analysis indicated oxidative stress biomarkers (MDA, HNE, aldehydes C6-12, 8-OHG, 5-OHMeU, o-Tyr, 3-NOTyr and GPx) in exhaled breath condensate (EBC) and blood samples were strongly changed by NM exposure; inflammatory biomarkers (IL-1β, TNF-α, MPO, fibrinogen and IL-6sR) were all significant in EBC, blood, sputum and nasal lavage samples. In conclusion, our findings suggest that these oxidative stress and inflammatory indicators may be promising biomarkers for the biological monitoring of occupationally NM-exposed workers

Extended x-ray absorption fine structure measurement of ramp compressed Ti using laser-irradiated metallic foil as x-ray source on SGIII prototype laser facility

Laser-irradiated metallic foils were considered as x-ray sources for extended x-ray absorption fine structure (EXAFS) measurements and confirmed by experiments on the SGIII prototype facility. The Au foils were irradiated by laser beams with a total energy of 2.77 kJ and full width at half maximum (FWHM) of 1 ns to create an x-ray source. The x-ray emission was spectrally smooth in the energy range of Ti EXAFS, the FWHM of Au foil x-ray radiation pulse in the energy range of 0.1–4000 eV was 0.99 ns, and the FWHM of x-ray pulse in the energy range of 5000–6000 eV was deduced to be 0.55 ns according to simulation results. A shaped laser pulse was designed to achieve the Ti sample’s laser-direct-driven ramp compression process. By creating a quasi-stable state lasting longer than 1 ns as the probing window during the compression process, the demand for temporal resolution was reduced. EXAFS spectra of compressed Ti in α and ω-phase were obtained and compared, and structural phase transition was verified by EXAFS pattern changes. The velocity of the back interface of the Ti sample was measured by the velocity interferometer system for any reflector, and the maximum of the deduced pressure in the middle of the Ti sample was 8.2 GPa, which is consistent with the α-ω phase transition

Laser pulse shape design for laser-indirect-driven quasi-isentropic compression experiments

Laser pulse shape design is a key work in the design of indirect-laser-driven experiments, especially for long pulse laser driven quasi-isentropic compression experiments. A method for designing such a laser pulse shape is given here. What’s more, application experiments were performed, and the results of a typical shot are presented. At last of this article, the details of the application of the method are discussed, such as the equation parameter choice, radiation ablation pressure expression, and approximations in the method. The application shows that the method can provide reliable descriptions of the energy distribution in a hohlraum target; thus, it can be used in the design of long-pulse laser driven quasi-isentropic compression experiments and even other indirect-laser-driven experiments

X-ray preheat shield in laser direct-drive ramp compression experiments

Laser drive ramp compression is an important method to achieve an extremely high-pressure but relatively low-temperature material state. In this study, we found VISAR streaks disappearing under high pressure. To solve this problem, the mechanism of probe-laser absorption in laser drive ramp compression experiments has been studied, and X-ray preheat is found to be the main factor in this mechanism. Subsequently, target configuration optimization and code simulation were performed based on previous experiments, and laser drive ramp compression experiments were performed on the SHENGGUANG prototype facility. In the experiments, the probe-laser reflectivity was above 90% at 450 GPa, which is much higher than those in previous experiments, demonstrating that the X-ray preheat was shielded well with the optimized target configuration