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        Experimental Investigation of the Effects of Non-Uniform Clothing Ensembles on the Occupants' Thermal Perceptions under a Local Ventilation System

        Peyman Ebrahimi Naghani,Seyed Alireza Zolfaghari,Mehdi Maerefat,Jorn Toftum,Seyed Mohammad Hooshmand 대한설비공학회 2021 International Journal Of Air-Conditioning and Refr Vol.29 No.2

        This paper presents an experimental study that evaluated the effects of three different non-uniform types of clothing ensembles (Type A: short-sleeve shirt, T-shirt underwear, men’s briefs, straight trousers, socks, shoes; Type B: long-sleeve shirt, T-shirt underwear, men’s briefs, straight trousers; and Type C: long-sleeve shirt, men’s briefs, straight trousers, thick socks, shoes) with almost the same thermal insulation (about 0.52 clo) on the subjects’ local and overall thermal sensation and air movement preference under a desktop local ventilation system. The experiment was conducted in a test chamber with the mean air temperature of 24±0.5∘C and under three supply air temperatures of 16∘C, 24∘C, and 32∘C from a desktop ventilation system. The results revealed that the body segments with the most critical thermal sensation were (i) forearms, hands and arms for the subjects with “A type” clothing ensemble, (ii) feet, hands and forearms for the subjects with “B type” clothing ensemble, and (iii) hands, arms, forearms and chest for the subjects that wore “C type” clothing ensemble. For the three clothing types of “A”, “B” and “C”, the values of overall thermal sensation changed from −0.63, −1.25, and −1.13 at 16∘C to −0.31, −0.31, and −0.38 at 32∘C inlet temperature, respectively. Also, the results indicated that upon elevation of the inlet air temperature from 16∘C to 32∘C, the percentages of the subjects who preferred less air movement dropped from 63%, 63%, and 50% to 38%, 25%, and 38%, respectively, for wearing “A”, “B” and “C” clothing ensembles.

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        Precise Control of Quantum Confinement in Cesium Lead Halide Perovskite Quantum Dots via Thermodynamic Equilibrium

        Dong, Yitong,Qiao, Tian,Kim, Doyun,Parobek, David,Rossi, Daniel,Son, Dong Hee American Chemical Society 2018 NANO LETTERS Vol.18 No.6

        <P>Cesium lead halide (CsPbX<SUB>3</SUB>) nanocrystals have emerged as a new family of materials that can outperform the existing semiconductor nanocrystals due to their superb optical and charge-transport properties. However, the lack of a robust method for producing quantum dots with controlled size and high ensemble uniformity has been one of the major obstacles in exploring the useful properties of excitons in zero-dimensional nanostructures of CsPbX<SUB>3</SUB>. Here, we report a new synthesis approach that enables the precise control of the size based on the equilibrium rather than kinetics, producing CsPbX<SUB>3</SUB> quantum dots nearly free of heterogeneous broadening in their exciton luminescence. The high level of size control and ensemble uniformity achieved here will open the door to harnessing the benefits of excitons in CsPbX<SUB>3</SUB> quantum dots for photonic and energy-harvesting applications.</P> [FIG OMISSION]</BR>

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        Acoustic signal analysis for gear fault diagnosis using a uniform circular microphone array

        Chi Li,Changzheng Chen,Xiaojiao Gu 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.11

        In this paper, a far-field acoustic signal processing method based on a uniform circular microphone array is proposed for the gear fault detection. The method takes ensemble empirical mode decomposition (EEMD) as a preprocessing approach, and the estimation of signal parameters via rotational invariance techniques (ESPRIT) is applied as the beamformer, which offers an adaptive and convenient approach to solve the serious aliasing and distortion in acoustic signals. The method greatly reduces the inherent demands for the microphone numbers and the computational load while holding a satisfying accuracy, making it more promising in practical engineering applications. Besides, aiming at the situation that gear failures cannot be judged solely by gear meshing frequencies (GMF) and sound source locations, seventeen statistical feature parameters are applied to the processed signals for the fault severity recognition, and six of them are found efficient, which provides a further reference for acoustic gear diagnosis.

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