为了解决员工在岗状态的实时监测和管理问题,提出了一种改进YOLOv3的目标检测算法,ILF-YOLOv3(Improve Loss and Feature-YOLOv3).首先,使用二分交叉熵损失函数和添加制衡权重参数的方式对YOLOv3算法的损失函数进行改进;然后,增加了模...为了解决员工在岗状态的实时监测和管理问题,提出了一种改进YOLOv3的目标检测算法,ILF-YOLOv3(Improve Loss and Feature-YOLOv3).首先,使用二分交叉熵损失函数和添加制衡权重参数的方式对YOLOv3算法的损失函数进行改进;然后,增加了模型多尺度特征检测模块的特征融合密度;最后,针对采样数据集单一性的问题,采用生成式对抗网络对其进行定向增强。实验结果表明,改进后的算法在自制的StaffSData-Strong数据集上mAP值提高了7.9%,召回率提高了14%.展开更多
Background: Occupational allergic contact dermatitis (ACD) is one of the most frequent diseases on the workplace worldwide. Its national incidence and prevalence were not previously studied in Tunisia. Objective: To a...Background: Occupational allergic contact dermatitis (ACD) is one of the most frequent diseases on the workplace worldwide. Its national incidence and prevalence were not previously studied in Tunisia. Objective: To assess incidence of occupational allergic contact dermatitis and its occupational outcome in Tunisia. Methods: Descriptive epidemiological study of all cases of occupational allergic contact dermatitis reported from 2002 to 2012 in Tunisia and recognized by the medical commissions of the National Health Insurance Fund. Results: 315 cases of occupational ACD were collected representing an annual incidence of 31.65 cases/100.000 workers in the private sector in Tunisia. The mean age of our population was 42.70 ± 9.02 years with a male predominance (sex ratio 3.03). The most affected sectors were the clothing sector (14.3% of cases) and the cement industry (13.7% of cases). Patch tests were positive in 188 patients (59.67%). The most frequently positive allergen was potassium dichromate in 27.3% of the cases. Overall, 25.4% of patients had lost their jobs. After multiple binary logistic regression, job loss had a statistically significant relationship with localization of lesions on the face and on dominant hand. Conclusion: Occupational ACD is frequent in Tunisia and is responsible for an important rate of job loss. Preventive measures must be reinforced, especially the wearing of protective gloves.展开更多
文摘为了解决员工在岗状态的实时监测和管理问题,提出了一种改进YOLOv3的目标检测算法,ILF-YOLOv3(Improve Loss and Feature-YOLOv3).首先,使用二分交叉熵损失函数和添加制衡权重参数的方式对YOLOv3算法的损失函数进行改进;然后,增加了模型多尺度特征检测模块的特征融合密度;最后,针对采样数据集单一性的问题,采用生成式对抗网络对其进行定向增强。实验结果表明,改进后的算法在自制的StaffSData-Strong数据集上mAP值提高了7.9%,召回率提高了14%.
文摘Background: Occupational allergic contact dermatitis (ACD) is one of the most frequent diseases on the workplace worldwide. Its national incidence and prevalence were not previously studied in Tunisia. Objective: To assess incidence of occupational allergic contact dermatitis and its occupational outcome in Tunisia. Methods: Descriptive epidemiological study of all cases of occupational allergic contact dermatitis reported from 2002 to 2012 in Tunisia and recognized by the medical commissions of the National Health Insurance Fund. Results: 315 cases of occupational ACD were collected representing an annual incidence of 31.65 cases/100.000 workers in the private sector in Tunisia. The mean age of our population was 42.70 ± 9.02 years with a male predominance (sex ratio 3.03). The most affected sectors were the clothing sector (14.3% of cases) and the cement industry (13.7% of cases). Patch tests were positive in 188 patients (59.67%). The most frequently positive allergen was potassium dichromate in 27.3% of the cases. Overall, 25.4% of patients had lost their jobs. After multiple binary logistic regression, job loss had a statistically significant relationship with localization of lesions on the face and on dominant hand. Conclusion: Occupational ACD is frequent in Tunisia and is responsible for an important rate of job loss. Preventive measures must be reinforced, especially the wearing of protective gloves.
