Irradiance uniformity reshaping method for solar simulators based on computer-generated spatial filter films.

Irradiance uniformity is critical to the accuracy of photovoltaic device test results. Therefore, to post-correct the irradiance uniformity inherent in artificial lighting systems, a spatial irradiance filter scheme for film patterns is proposed based on the physical phenomenon of a positively related relationship between inkjet concentration and the transparency of the flexible film. The scheme first establishes the characteristic equation between the irradiance absorption and pattern grayscale values and then generates the spatial filtering pattern by utilizing the light intensity distribution to be calibrated, matrix operations, and bilinear interpolation.

Multi-scale feature pyramid fusion network for medical image segmentation.

Purpose: Medical image segmentation is the most widely used technique in diagnostic and clinical research. However, accurate segmentation of target organs from blurred border regions and low-contrast adjacent organs in Computed tomography (CT) imaging is crucial for clinical diagnosis and treatment.

Methods: In this article, we propose a Multi-Scale Feature Pyramid Fusion Network (MS-Net) based on the codec structure formed by the combination of Multi-Scale Attention Module (MSAM) and Stacked Feature Pyramid Module (SFPM).

Positioning of Prefabricated Building Components Based on BIM and Laser Image Scanning Technology in the Environment of Internet of Things.

In order to accurately locate the fabricated building components during assembly, the fabricated building components are monitored by laser scanning. At the same time, BIM Technology is proposed to carry out construction management in the construction process, realize safe site management and construction, reduce unnecessary mistakes of human operation, and improve construction quality. With the progress of computer technology, the emergence of the Internet of things has brought convenience to many fields.

[Meta-analysis of Microbial Communities in the Activated Sludge of Wastewater Treatment Plants Under Different Climate Types].

Microbial communities in wastewater treatment plants(WWTPs) are very important for water purification in the context of public drinking water safety and environmental health. Therefore, it is necessary to explore the trends in microbial community structure and diversity in sewage treatment plants and their main environmental impact factors under different climates in China. Based on high-throughput sequencing techniques, a meta-analysis was conducted to screen the 16S rRNA genes in an open database.

A novel assessment considering spatial and temporal variations of water quality to identify pollution sources in urban rivers.

It's vital to explore critical indicators when identifying potential pollution sources of urban rivers. However, the variations of urban river water qualities following temporal and spatial disturbances were highly local-dependent, further complicating the understanding of pollution emission laws. In order to understand the successional trajectory of water qualities of urban rivers and the underlying mechanisms controlling these dynamics at local scale, we collected daily monitoring data for 17 physical and chemical parameters from seven on-line monitoring stations in Nanfeihe River, Anhui, China, during the year 2018.