The Novel Image Signal Analysis of Monitoring Video Based on CMOS Image Sensor

The image sensor is the most important part of video and still image processing line in digital video or still camera. Data of CMOS process will produce noise in long transmission distance; therefore it must first be amplified and integrated each pixel data. The choice of medium and apparatus for transmitting image and the other the control signal will be directly related to the quality and reliability of the monitoring system. CMOS image sensor has the characteristics of low power, high integration and flexible function. The paper proposes the novel image signal analysis of monitoring video based on CMOS image sensor. In this paper, simulation results shows by using analog signal hardware simulation that the system can achieve the intended function and achieve the ideal effect

How to Evaluate Semantic Communications for Images with ViTScore Metric?

Semantic communications (SC) have been expected to be a new paradigm shifting to catalyze the next generation communication, whose main concerns shift from accurate bit transmission to effective semantic information exchange in communications. However, the previous and widely-used metrics for images are not applicable to evaluate the image semantic similarity in SC. Classical metrics to measure the similarity between two images usually rely on the pixel level or the structural level, such as the PSNR and the MS-SSIM. Straightforwardly using some tailored metrics based on deep-learning methods in CV community, such as the LPIPS, is infeasible for SC. To tackle this, inspired by BERTScore in NLP community, we propose a novel metric for evaluating image semantic similarity, named Vision Transformer Score (ViTScore). We prove theoretically that ViTScore has 3 important properties, including symmetry, boundedness, and normalization, which make ViTScore convenient and intuitive for image measurement. To evaluate the performance of ViTScore, we compare ViTScore with 3 typical metrics (PSNR, MS-SSIM, and LPIPS) through 5 classes of experiments. Experimental results demonstrate that ViTScore can better evaluate the image semantic similarity than the other 3 typical metrics, which indicates that ViTScore is an effective performance metric when deployed in SC scenarios

Modifying temperature-related cardiovascular mortality through green-blue space exposure.

Green-blue spaces (GBS) are pivotal in mitigating thermal discomfort. However, their management lacks guidelines rooted in epidemiological evidence for specific planning and design. Here we show how various GBS types modify the link between non-optimal temperatures and cardiovascular mortality across different thermal extremes. We merged fine-scale population density and GBS data to create novel GBS exposure index. A case time series approach was employed to analyse temperature-cardiovascular mortality association and the effect modifications of type-specific GBSs across 1085 subdistricts in south-eastern China. Our findings indicate that both green and blue spaces may significantly reduce high-temperature-related cardiovascular mortality risks (e.g., for low (5%) vs. high (95%) level of overall green spaces at 99th vs. minimum mortality temperature (MMT), Ratio of relative risk (RRR) = 1.14 (95% CI: 1.07, 1.21); for overall blue spaces, RRR = 1.20 (95% CI: 1.12, 1.29)), while specific blue space types offer protection against cold temperatures (e.g., for the rivers at 1st vs MMT, RRR = 1.17 (95% CI: 1.07, 1.28)). Notably, forests, parks, nature reserves, street greenery, and lakes are linked with lower heat-related cardiovascular mortality, whereas rivers and coasts mitigate cold-related cardiovascular mortality. Blue spaces provide greater benefits than green spaces. The severity of temperature extremes further amplifies GBS's protective effects. This study enhances our understanding of how type-specific GBS influences health risks associated with non-optimal temperatures, offering valuable insights for integrating GBS into climate adaptation strategies for maximal health benefits

Demonstrating and Testing the BML Compliance of BML Realizers

van Welbergen H, Xu Y, Thiebaux M, et al. Demonstrating and Testing the BML Compliance of BML Realizers. In: Vilhjálmsson HH, Kopp S, Marsella S, Thórisson KR, eds. Intelligent Virtual Agents. IVA 2011. Lecture Notes in Computer Science. Vol 6895. Berlin, Heidelberg: Springer Berlin Heidelberg; 2011: 269-281.BML realizers are complex software modules that implement a standardized interface –the BML specification language– to steer the behavior of a virtual human. We aim to promote and test the compliance of realizers that implement this interface. To this end we contribute a corpus of example BML scripts and a tool called RealizerTester that can be used to formally test and maintain adherence of realizers to the BML standard. The standardized interface of realizers allowed us to implement RealizerTester as an automatic testing framework that can test any realizer. RealizerTester can 1) help in maintaining the stability and extensibility that is crucial for realizers and 2) contribute to the formalization of the emerging BML standard, both by providing test scripts and a formal description of their constraints and by identifying and resolving execution inconsistencies between realizers. We illustrate the testing practices used in the development of two realizers and demonstrate how RealizerTester is integrated with these practices. The scripts in the example corpus were executed on both realizers. This resulted in a video corpus that demonstrates the semantic equivalences and differences in execution of BML scripts by the two realizers