Imbalance Between Scientific Technology and Human Rights and Measures to Rectify the Imbalance——Taking Geological Disasters as an Example

I. Increase in Human Activity and Occurrence of Geological Disasters ＂A geological disaster is a natural disaster that happens in a geo- logical environment. It is a geological effect （phenomenon） caused or in- fluenced by Nature and （or） human factors that leads to losses to human life, property and the environment.TM Based on their cause, geological disasters can be divided into natural geological and artificial geological disasters. Natural geological disas- ters include those caused by natural effects. These include typhoons, rain- fall, melting snow and earthquakes,

Recent Measures to Construct China's Human Rights Discourse

China must accomplish two tasks on human rights:domestically,it must continue its efforts for healthy development of human rights based past achievements;internationally,it must strengthen exchange and cooperation on human rights issues with the international community,contribute to the building of a reasonable international human

Real-time human blood pressure measurement based on laser self-mixing interferometry with extreme learning machine

In this paper, we present a method based on self-mixing interferometry combing extreme learning machine for real-time human blood pressure measurement. A signal processing method based on wavelet transform is applied to extract reversion point in the self-mixing interference signal, thus the pulse wave profile is successfully reconstructed. Considering the blood pressure values are intrinsically related to characteristic parameters of the pulse wave, 80 samples from the MIMIC-II database are used to train the extreme learning machine blood pressure model. In the experiment, 15 measured samples of pulse wave signal are used as the prediction sets. The results show that the errors of systolic and diastolic blood pressure are both within 5 mm Hg compared with that by the Coriolis method.

Measurement of optical penetration depth and refractive index of human tissue

Experimental techniques for measurement of optical penetration depth and refractive index of human tissue are presented, respectively. Optical penetration depth can be obtained from the measurement of the relative fluencc-depth distribution inside the target tissue. The depth of normal and carcinomatous human lung tissues irradiated with the wavelengths of 406.7, 632.8 and 674.4 nm in vitro are respectively determined. In addition, a novel simple method based on total internal reflection for measuring the refractive index of biotissue in vivo is developed, and the refractive indices of skin from people of different age, sex and skin color are measured. Their refractive indices are almost same and the average is 1.533.

A Study of Classification of Figures and Sizes for Middle-and Old-Aged Men

The characteristics of human figures, variable laws and the basic sizes of each part of human body have been found by means of anthropomctric measurements of the middle-arid old-aged men and data analyses. Also, proposals of how to classify dimensions and sizes of the medium human figures among the middle-and old-aged men have been put forward.

Pedestrian safety alarm system based on binocular distance measurement for trucks using recognition feature analysis

As an essential part of modern smart manufacturing,road transport with large and heavy trucks has in-creased dramatically.Due to the inside wheel difference in the process of turning,there is a considerable safety hazard in the blind area of the inside wheel difference.In this paper,multiple cameras combined with deep learning algorithms are introduced to detect pedestrians in the blind area of wheel error.A scheme of vehicle-pedestrian safety alarm detection system is developed via the integration of YOLOv5 and an improved binocular distance measurement method.The system accurately measures the distance between the truck and nearby pedestrians by utilizing multiple cameras and PP Human recognition,providing real-time safety alerts.The experimental results show that this method significantly reduces distance measurement errors,improves the reliability of pedestrian detection,achieves high accuracy and real-time performance,and thus enhances the safety of trucks in complex traffic environments.