The Luxury Trap

Human beings have traveled from prehistory through an agricultural era to the industrial age to modern society today. I think every transition is a luxury trap. Why have there been there so many transitions? Why are transitions are traps? The human being is a special kind of animal that endlessly strives for a better life. Human beings work hard for a better life that includes more luxury, no matter the material aspect or spiritual aspect. But when they complete a transition, they always fall into another trap that has different problems. My works illustrate three different transitions of the human being. The first transition is migration. I wrote words on my millstone piece to tell the story of my family and myself, and also the changing times in China over the past 40 years, and even though my family moved from the country to the city for a better life in the city, we became stuck in a luxury trap. The second transition is cognition. I use the needles piece to explain how human beings got into a trap when they made the transition from prehistory to the agricultural era. Human beings settled down and domesticated plants and animals, so they got diseases. They then could not go back to nomadic days. The third transition is industrialization. The human being becomes the god of all other things. All the existence in the world serves the human being. I use my work to explain the existence results of industrial time, which is governed by human beings. Art is my vehicle to explore the primitive nature of human beings and how the primitive nature dictates our reactions to everything in the world. At the same time, I use my work to provoke the audience\u27s thoughts about humanization in general and our world as a whole

LOAD-DEFLECTION BEHAVIOR OF RATTAN CHAIR SEATS

The static and fatigue performances of seat foundations of natural rattan chairs subjected to vertical loads were investigated.  Static performance evaluation results indicate that rattan strip weaving patterns have significant effects on the vertical load carrying capacity and stiffness performance of chair seat foundations.  Herringbone and grid pattern woven seat foundations had significantly higher vertical load carrying capacity than those made with a square-corner pattern.  Square-corner pattern seat foundations yielded a softer sitting surface than herringbone and grid patterns.  Herringbone and grid pattern seat foundations can provide firmer sitting feel and good deep down support for heavier sitters.  The Burger model could be used to describe the force-deformation-time behavior of a rattan woven seat foundation subjected to vertical cyclic loading

COMPRESSIVE CREEP AND RECOVERY BEHAVIORS OF SEAT CUSHIONS IN UPHOLSTERED FURNITURE

This study investigated effects of compressive load magnitude and cover and core materials on the force-deformation-time behavior of seat cushions commonly used in upholstered furniture. Results indicated that the Burger and Kelvin models could be used to describe the creep and recovery behavior of a furniture seat cushioning system composed of foam, spring, and cover materials, respectively. Statistical analyses of experimental data indicated that the magnitude of creep loads had significant effects on the viscoelastic constants in mathematical expressions derived from the Burger model for describing the force-deformation-time behavior of the cushions evaluated. Foam cushions with coil springs had significantly greater viscoelastic constants than those without. Changing cushion cover material from leather to fabric had no significant effect on the elastic constant of tested cushion materials, but increased theviscous constant and delayed elastic-deformation-related damping constants

Tensile and Bending Moment Resistances of T-Shaped Joints in Rattan Chairs

Effects of inner fastener type, wrapping pattern and material type, and member material type on ultimate tensile and bending moment resistances of T-shaped joints in rattan chair construction were investigated based on the L9 (34) orthogonal array experimental design. The range analyses indicated that the order of impact on ultimate tensile loads of four factors was inner fastener type > wrapping pattern > member material type > wrapping material type, whereas the order of impact on ultimate bending moment was inner fastener type > wrapping material type > wrapping pattern > member material type. Analysis of variance indicated that inner fastener type affected ultimate tensile and bending moment the most among the four factors with percentages of contribution of 51.19 and 47.06 to tensile and bending moment, respectively. Optimal combinations of factors and their levels that yielded the highest ultimate tensile and bending moment resistances were identified for T-shaped, end-to-side joints in rattan materials

Social Beliefs and Ergonomics on Traditional Seat of Wooden Furniture Review of Related Literature

The main purpose of this review paper was to highlight Social Beliefs and Ergonomics on Traditional Seat of Wooden Furniture Review of Related Literature. More specifically, the review of limited literature on traditional seat of wooden furniture in view of ergonomics which characterized the basic structure, safety, functions and aesthetics properties. The paper then provides possible solutions to redesign traditional seats that promote healthier sitting behaviours centered on appropriate configuration of its components. The paper also explores the cross-cultural considerations associated with traditional seat furniture design.   &nbsp

LATERAL LOAD RESISTANCE BEHAVIOR OF WOOD-PLASTIC-TO METAL SINGLE-BOLT CONNECTIONS IN OUTDOOR FURNITURE

The lateral load resistance behavior of an unconstrained, two-member, single-bolt connection in outdoor furniture applications was investigated. The unconstrained connection consisted of a wood-plastic composite (WPC) main member fastened to a metal plate as a side member through a 6.35-mm-diameter bolt without a nut or washer used. Experimental results indicated that unconstrained WPC-to-metal single-bolt connections had a significantly higher lateral resistance load if the WPC main member is loaded in the direction perpendicular to the WPC material extrusion direction than the parallel direction. Tested connections failed with bolts having one plastic hinge bent, which occurred at the interface between the metal plate and WPC main member, accompanied by the WPC main members having a compressive yield fracture at their sides close to the metal plate, but no obvious compressive mark was observed at the opposite sides. Proposed linear and yield mechanical models were verified experimentally as a valid means for deriving estimation equations of lateral resistance loads of unconstrained WPC-to-metal single-bolt connections

SwinV2DNet: Pyramid and Self-Supervision Compounded Feature Learning for Remote Sensing Images Change Detection

Among the current mainstream change detection networks, transformer is deficient in the ability to capture accurate low-level details, while convolutional neural network (CNN) is wanting in the capacity to understand global information and establish remote spatial relationships. Meanwhile, both of the widely used early fusion and late fusion frameworks are not able to well learn complete change features. Therefore, based on swin transformer V2 (Swin V2) and VGG16, we propose an end-to-end compounded dense network SwinV2DNet to inherit the advantages of both transformer and CNN and overcome the shortcomings of existing networks in feature learning. Firstly, it captures the change relationship features through the densely connected Swin V2 backbone, and provides the low-level pre-changed and post-changed features through a CNN branch. Based on these three change features, we accomplish accurate change detection results. Secondly, combined with transformer and CNN, we propose mixed feature pyramid (MFP) which provides inter-layer interaction information and intra-layer multi-scale information for complete feature learning. MFP is a plug and play module which is experimentally proven to be also effective in other change detection networks. Further more, we impose a self-supervision strategy to guide a new CNN branch, which solves the untrainable problem of the CNN branch and provides the semantic change information for the features of encoder. The state-of-the-art (SOTA) change detection scores and fine-grained change maps were obtained compared with other advanced methods on four commonly used public remote sensing datasets. The code is available at https://github.com/DalongZ/SwinV2DNet