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In order to study the wearing comfort of pressure for tight‐fit clothing, the sensation of wearing pressure and the other related sensations have been assessed for knit garments, which have different sizes and fabrics which have different extensibilities, by developing a wearing experimental procedure. Using factor analysis with principal factor solutions and rotated by the Varimax method, we obtained relevant factor matrices about the subjective assessment. At the same time, objective clothing pressure, fabric extensibility and garment fitness have been measured. Regression analysis showed that the garment fitness and fabric extensibility had great predictive power for the subjective pressure assessment.

In this paper we describe a method for directly deducing new interpolating subdivision masks for meshes from corresponding approximating subdivision masks. The purpose is to avoid complex computation for producing interpolating subdivision masks on extraordinary vertices. The method can be applied to produce new interpolating subdivision schemes, solve some limitations in existing interpolating subdivision schemes and satisfy some application needs. As cases, in this paper a new interpolating subdivision scheme for polygonal meshes is produced by deducing from the Catmull-Clark subdivision scheme. It can directly operate on polygonal meshes, which solves the limitation of Kobbelt's interpolating subdivision scheme. A new √3 interpolating subdivision scheme for triangle meshes and a new √2 interpolating subdivision scheme for quadrilateral meshes are also presented in the paper by deducing from √3 subdivision schemes and 4-8 subdivision schemes respectively. They both produce C 1 continuous limit surfaces and avoid the blemish in the existing interpolating √3 and √2 subdivision masks where the weight coefficients on extraordinary vertices can not be described by formulation explicitly. In addition, by adding a parameter to control the transition from approximation to interpolation, they can produce surfaces intervening between approximating and interpolating which can be used to solve the "popping effect" problem when switching between meshes at different levels of resolution. They can also force surfaces to interpolate chosen vertices.

Summary This paper deals with the problem of H∞ robust fault estimation for a class of Takagi‐Sugeno (T‐S) fuzzy systems with state time‐varying delay, sensor, and actuator faults. The faults considered in this paper are time‐varying signals whose k‐order derivatives with respect to time are bounded. Then, we propose a proportional multiple integral observer to achieve simultaneous estimation of system states and time‐varying actuator and sensor faults. Furthermore, one less conservative delay‐dependent sufficient condition for the existence of fault estimation observer is given in terms of linear matrix inequality. The disturbance attenuation is constrained to a given level using H∞ performance index. Finally, simulation results of one numerical example is presented to show the effectiveness of the proposed method.