The extraction process of palm seed oil was optimized. Using palm seed as raw material, oil extraction rate was used as an index. The effects of flash extraction, ultrasonic-assisted extraction, supercritical extraction, and aqueous enzymatic extraction on the yield of palm seed oil were investigated. The extraction methods and technological conditions of palm seed oil were optimized by the orthogonal method on the basis of single factor. The seed oil was analyzed and detected. The results showed that the water enzymatic (...) extraction method was the best, and the optimal extraction conditions were as follows: enzymatic hydrolysis time 16 h, enzymatic hydrolysis temperature 50°C, and enzymatic content 2.0%. The oil yield of palm seed was 16.48%. Conclusion. Water enzymatic extraction process of palm seed oil is reasonable, the active ingredients are rich, and the quality of seed oil is better, providing reference for the development and research of palm seed oil. (shrink)

Architectural aesthetics mainly creates architectural beauty according to the law of beauty and realizes the interaction between creative subject and object, and receptor. Its essence has been soaked and attached to all kinds of materialized carriers and behavioral subjects in the living environment. Through the aesthetic optimization of residential house type, this paper analyzes the ventilation efficiency of representative house type, which affects the prevention and control of community infectious diseases and the physical and mental health of residents. Take multiple (...) measures to strengthen the aesthetic design of residential house type, and promote the healthy development of community ecology and the cultural inheritance of harmonious society. It is helpful for architectural designers to improve their understanding of the effect of natural ventilation and provide reference means for designers to reasonably organize indoor natural ventilation in architectural design. (shrink)

Aiming at the problems of low recognition rate and slow recognition speed of traditional body action recognition methods, a human action recognition method based on data deduplication technology is proposed. Firstly, the data redundancy technology and perceptual hashing technology are combined to form an index, and the image is filtered from the structure, color, and texture features of human action image to achieve image redundancy processing. Then, the depth feature of processed image is extracted by depth motion map; finally, feature (...) recognition is carried out by convolution neural network so as to achieve the purpose of human action recognition. The simulation results show that the proposed method can obtain the optimal recognition results and has strong robustness. At the same time, it also fully proves the importance of human motion recognition. (shrink)