弱人工智能在广播电视监测监管中的应用和设想

广播电视监测监管系统逐渐智能化,工作人员可以通过中心监测平台,进行前端维护、日志管理、用户管理、实时监测、数据处理、业务配置等;智能化的广播电视节目监测监管系统,不但大幅提高了监测监管的工作效率,而且拓展了监测监管的范围。随着人工智能的不断发展,监测监管系统将变得更方便、更便捷、更智能。     

基于偏最小二乘回归的中长期电力负荷预测

为了支持将来的经济发展和不断满足电力需求,负荷预测已成为电力部门的重要任务,而提高预测精度是负荷预测的关键问题。为此,判断了影响负荷的经济因素之间存在的多重共线性,用偏最小二乘回归方法消除其共线性影响,并建立了预测模型。结果表明,该方法能准确地估计出变量的回归系数,能避免使用普通最小二乘回归时出现的异常回归系数,预测的相对误差平均为9.83%,最小相对误差为-0.01%。     

建筑教育中有关创造性问题若干误区的探讨

通过对建筑教育中有关创造性问题的六个认识误区的简要分析，阐明了建筑创造力的构成理论，论述了建筑创造的过程特征、创造性与基本功的关系，并提出了相应的建筑教育方法。     

Hand grip strength for the working-age population in South Korea: Development of an estimation and evaluation model

Although grip strength is frequently measured in clinical settings, methods for evaluating individual grip strength considering physical characteristics are limited. We attempted to develop an easily applicable statistical model to estimate and evaluate the grip strength of Korean workers according to their age, sex, and anthropometric data.Data were collected from the KNHANES (2014–2019). The data were divided into the test and training sets. Potential regression models for estimating grip strength have been suggested based on sex and hand dominance. The performance of each model was compared, and the best model was selected. The estimated grip strength was calculated for each participant. The distribution of the measured to estimated value ratios was presented. The ratios between the dominant and non-dominant hand grip strengths were also calculated.Overall, 21,807 (9652 men and 12,155 women) individuals were included in the dataset. The selected predictors were age, age^2, height, body mass index (BMI), and body mass-to-waist ratio for men and age, age^2, height, BMI, and waist circumference for women. The measured estimated values were 100.0 ± 16.2%, 100.0 ± 16.3% for dominant and non-dominant hands in men and 100.0 ± 18.9% for dominant and non-dominant hands in women. The 95% confidence interval of the dominant to non-dominant hand grip ratio was 84.4–126.7% for men and 82.4–131.3% for women.Grip strength in workers can be screened in comparison to that in the Korean population using the suggested models. This model is an effective method for identifying abnormalities in the upper extremities of Korean workers.