HAZARD LABELS. LABEL DESIGN, APPLICATION AND USAGE RULES

One of the distinctive features of today is the presence in our life of substances, by-products that pose a hazard to human health, a threat to the environment, but without which the production process of other goods is impossible and we cannot imagine our existence, that is, electrical energy generation by the use of nuclear fuel, mineral fertilizers, various kinds of substances in the chemical industry from conditionally hazardous to very hazardous. All of these substances need to be transported from production site to the place of use. Therefore, the question arises, i.e., if these dangerous substances are necessary for production of other very necessary and useful goods, how to protect those people who can suffer during their manufacture, transportation and use. It turns out that the answer is almost on the surface. Generating of hazardous substance primarily raises the need to develop measures for protection against their impact, or at least minimize it. This paper analyses the issues of prevention and minimization of the dangerous substances effect on the people, environment while transporting by analyzing classes, sub-classes, categories of dangerous substances categories. The classification of dangerous substances, labels designs, guidance on their application and use are given. Rules and obligations of dangerous cargoes transportation entities are specified. Key words: hazardous substances, classification of hazardous substances, hazard warning signs, methods and means of application, marking rules.

Visitors’ Perception of the Effectiveness of Leptospirosis Health Hazard Warning Signage in Recreational Parks, Hulu Langat District, Malaysia

This study primarily intends to determine visitors’ perception of leptospirosis health hazard warning signage and its effectiveness within natural recreational parks in the district of Hulu Langat. This cross-sectional study was conducted in four out of seven natural recreational parks, installed with leptospirosis health hazard warning signage. A total of 209 respondents were recruited purposively in this study and completed the questionnaires. Majority of the respondents were male (57.4%), 40 years old and below (89.5%), received tertiary education (68.5%), staying outside Hulu Langat district (83.2%), visited for the first time (63.6%), and noticed the presence of leptospirosis health hazard warning signage at the park entrance (69.4%) and within the recreational park (64.2%). A significant relationship was discovered between respondents’ education level and perception of the health hazard warning signage (p-value 0.034). The rate of visits and noticeability of the health hazard warning signage were significantly associated with the effectiveness of the content on the health hazard warning signage (p-value 0.002 and 0.004, respectively). The construction of health hazard warning signage at the recreational areas should suit the social and educational background of the population. Visitors’ discernment of the effectiveness of erecting leptospirosis health hazard warning signage within natural recreational parks in the district of Hulu Langat is good if the signage is perceptible even with subsequent repeated visits to the parks.

A 3D Multiobject Tracking Algorithm of Point Cloud Based on Deep Learning

3D multiobject tracking (MOT) is an important part of road condition detection and hazard warning algorithm in roadside systems and autonomous driving systems. There is a tricky problem in 3D MOT that the identity of occluded object switches after it reappears. Given the good performance of the 2D MOT, this paper proposes a 3D MOT algorithm with deep learning based on the multiobject tracking algorithm. Firstly, a 3D object detector was used to obtain oriented 3D bounding boxes from point clouds. Secondly, a 3D Kalman filter was used for state estimation, and reidentification algorithm was used to match feature similarity. Finally, data association was conducted by combining Hungarian algorithm. Experiments show that the proposed method can still match the original trajectory after the occluded object reappears and run at a rate of 59 FPS, which has achieved advanced results in the existing 3D MOT system.