scholarly journals High-Performance Workwear for Coal Miners in Northern China: Design and Performance Evaluation

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ying Ke ◽  
Qing Zheng ◽  
Faming Wang ◽  
Min Wang ◽  
Yi Wang
Keyword(s):  
Performance Evaluation ◽  
Thermal Comfort ◽  
High Performance ◽  
Northern China ◽  
Coal Miners ◽  
Climate Chamber ◽  
Local Skin ◽  
Worker Performance ◽  
And Performance ◽  
Skin Temperatures

Abstract The design of workwear has significant effects on worker performance. However, the current workwear for coal miners in Northern China is poor in fitness and thermal comfort. In this study, new workwear (NEW) for coal miners was developed with the design features providing better cold protection and movement comfort performance, as compared with a commonly worn workwear (CON). To evaluate the effectiveness of NEW, we conducted human trials which were performed using simulated work movements (i.e., sitting, shoveling, squatting, and crawling) in a climate chamber (10°C, 75% RH). Physiological measurements and perceptual responses were obtained. The results demonstrated that the local skin temperatures at chest, scapula, thigh, and calf; mean skin temperatures,; and thermal comfort in NEW were significantly higher than those in CON. NEW also exerted an improvement in enhancing movement comfort. We conclude that NEW could meet well with the cold protective and mobility requirements.

scholarly journals AN ASSOCIATIVE DATA PARALLEL COMPILATION MODEL FOR TIGHT INTEGRATION OF HIGH PERFORMANCE KNOWLEDGE RETRIEVAL AND COMPUTING

1994 ◽  
Vol 03 (01) ◽  
pp. 97-125 ◽  
Author(s):  
ARVIND K. BANSAL
Keyword(s):  
Performance Evaluation ◽  
High Performance ◽  
Loose Coupling ◽  
Abstract Machine ◽  
Data Movement ◽  
Left Hand ◽  
Low Level ◽  
Data Parallel ◽  
Data Alignment ◽  
And Performance

Associative Computation is characterized by intertwining of search by content and data parallel computation. An algebra for associative computation is described. A compilation based model and a novel abstract machine for associative logic programming are presented. The model uses loose coupling of left hand side of the program, treated as data, and right hand side of the program, treated as low level code. This representation achieves efficiency by associative computation and data alignment during goal reduction and during execution of low level abstract instructions. Data alignment reduces the overhead of data movement. Novel schemes for associative manipulation of aliased uninstantiated variables, data parallel goal reduction in the presence multiple occurrences of the same variables in a goal. The architecture, behavior, and performance evaluation of the model are presented.

Predicting indoor thermal sensation for the elderly in welfare centres in Korea using local skin temperatures

2016 ◽  
Vol 26 (8) ◽  
pp. 1155-1167 ◽  
Author(s):  
Chihye Bae ◽  
Hyunjung Lee ◽  
Chungyoon Chun
Keyword(s):  
Field Study ◽  
Skin Temperature ◽  
Elderly People ◽  
Thermal Sensation ◽  
The Elderly ◽  
The Body ◽  
Elderly Subjects ◽  
Climate Chamber ◽  
Local Skin ◽  
Skin Temperatures

This study aims to develop a method to predict thermal sensation in elderly people. To identify the point on the body where skin temperature can best predict thermal sensation in elderly people aged 65 or older and develop a thermal comfort measurement model that can replace the psychological scale, experiments were conducted in a stainless steel wall finish climate chamber and at the seven senior welfare centres in Korea. The results of the climate chamber experiment with 30 healthy elderly people (15 males, 15 females) showed that there was a correlation between thermal sensation and local skin temperature on the back of the hand, the upper arm, the top of the foot and the cheek. This developed thermal sensation prediction model was then applied in a field study at senior welfare centres to verify whether the model could be applied to a large number of elderly subjects in different locations. The field study with 294 elderly people (111 males, 183 females) shows that cheek and back of the hand skin temperatures were useful in predicting thermal sensation in the elderly, and predicted thermal sensation based on the skin temperature of the cheek had the strongest correlation with thermal sensation among the participants.

Parallelization and Performance Evaluation of an Edge Detection Algorithm on a Streaming Multi-Core Engine

2009 ◽  
Vol 2 (4) ◽  
pp. 81-91 ◽  
Author(s):  
Hashir Karim Kidwai ◽  
Fadi N. Sibai ◽  
Tamer Rabie
Keyword(s):  
Performance Evaluation ◽  
Edge Detection ◽  
High Performance ◽  
Detection Algorithm ◽  
Cell Processor ◽  
Edge Detector ◽  
Processing Application ◽  
Image Processing Application ◽  
Host Processor ◽  
And Performance

In the world of multi-core processors, the STI Cell Broadband Engine (BE) stands out as a heterogeneous 9-core processor with a PowerPC host processor (PPE) and 8 synergic processor engines (SPEs). The Cell BE architecture is designed to improve upon conventional processors in graphics and related areas by integrating 8 computation engines each with multiple execution units and large register sets to achieve a high performance per area return. In this paper, we discuss the parallelization, implementation and performance evaluation of an edge detection image processing application based on the Roberts edge detector on the Cell BE. The authors report the edge detection performance measured on a computer with one Cell processor and with varying numbers of synergic processor engines enabled. These results are compared to the results obtained on the Cell’s single PPE with all 8 SPEs disabled. The results indicate that edge detection performs 10 times faster on the Cell BE than on modern RISC processors.

scholarly journals On the use of facial and neck cooling to improve indoor occupant thermal comfort in warm conditions

2021 ◽  
Author(s):  
Bin Yang ◽  
Tze-Huan Lei ◽  
Faming Wang ◽  
Pengfei Yang
Keyword(s):  
Thermal Comfort ◽  
Thermal Sensation ◽  
Average Energy ◽  
Entire Body ◽  
Cooling Mode ◽  
Local Skin ◽  
Scale Unit ◽  
Cooling Fans ◽  
Skin Temperatures ◽  
Neck Cooling

Face and neck cooling has been found effective to improve thermal comfort during exercise in the heat despite the surface area of human face and neck regions accounts for only 5.5% of the entire body. Presently, very limited work in the literature has been reported on face and neck cooling to improve indoor thermal comfort. In this work, two energy-efficient wearable face and neck cooling fans were used to enhance occupant thermal comfort in two warm indoor conditions (30 & 32 °C). Local skin temperatures and perceptual responses while using those two wearable cooling fans were examined and compared. Results showed that both cooling fans could largely reduce local skin temperatures at the forehead, face and neck regions up to 2.1 °C. Local thermal sensation votes at the face and neck were decreased by 0.82-1.21 scale unit at two studied temperatures. Overall TSVs dropped by 1.03-1.14 and 1.34-1.66 scale unit at 30 and 32 °C temperatures, respectively. Both cooling fans could extend the acceptable HVAC temperature setpoint to 32.0 °C, resulting in an average energy saving of 45.7% as compared to the baseline HVAC setpoint of 24.5 °C. Further, the free-control cooling mode is recommended to occupants for further improving thermal comfort while using those two types of wearable cooling fans indoors. Lastly, it is concluded that those two wearable cooling fans could greatly improve thermal comfort and save HVAC energy despite some issues on dry eyes and dry lips associated with those wearable cooling fans were noted.

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