论互联网与保险科技结合的重要性

随着互联网科技的快速发展,其影响力已深入市场经济的各个部分,保险行业依托云计算、大数据等互联网科学技术,不断推动自身发展。但在互联网科技时代,互联网保险行业也出现了诸多问题,有必要对这些问题进行探讨,并提出相应的指导策略。     

光学遥感观测技术在IDI保险行业的应用

IDI保险是工程质量类保险的一种,在国内主要应用于住宅项目。IDI保险需要在工程建设的全过程中进行质量管控和风险评估。常规水准检测、GPS等技术难以满足IDI保险对风险建筑进行大范围、快速、长期监测的需要。光学遥感观测技术是一种可以实现大面积地物监测的遥感观测技术,该技术可以为IDI保险的监测工作提供数据信息支持。论文整理了近几年关于光学遥感观测技术应用于建筑高度监测的文献,对分类法、边缘检测法、阈值法进行介绍和总结,说明光学遥感观测技术在IDI保险行业中有较高的应用价值和广阔的应用前景。     

铁路敞车车门检修中存在的问题及检修工艺改进

随着我国经济的快速发展,国家越来越重视铁路敞车车门检修问题以及工艺改进。为了进一步革新铁路敞车车门检修工艺,应当根据实际情况了解铁路敞车的车体组成部分,充分利用耐腐蚀性、密封性以及安全性等特性,对铁路敞车门锁安全进行综合分析和考量。论文主要针对铁路敞车车门检修中存在的问题及检修工艺进行简要分析,并提出一些合理化建议。     

GIS技术在环境影响评价中的应用策略

在当今社会经济的不断发展中,人们的环保意识也实现了不断提升,而伴随着科学技术的发展,各种先进技术也开始逐渐应用到了环境保护工作中。其中,GIS技术就是一项典型的环境影响评价技术。通过该技术的应用,可以让环境资源、生态资源、土地资源、林业资源以及农业资源等领域得到良好的影响评价,以此来保障资源与环境之间的可持续发展。基于此,论文对该技术在环境影响评价中的具体应用策略进行分析,希望可以为GIS技术在环境影响评价中的合理应用以及环境影响评价效果的提升提供足够动力。     

绿色维修技术在汽车处理中的应用价值

随着我国经济的快速发展,人们的生活质量得到改善,汽车保有量逐年递增。汽车修理工作的重要性日益突显,甚至成为影响社会发展的主要因素。在汽车修理工作中,一是要合理选择汽车维修技术;二是要重视汽车的危害因素,如环境污染。所以工作人员应该合理应用绿色维修技术,减少污染问题的出现。论文主要阐述在汽车处理中绿色维修技术的应用价值,仅供参考。     

云数据中心网络虚拟化技术的实现路径

当今社会,随着科学技术的迅猛发展,信息技术实现了持续快速发展。在大环境的影响下,云计算与网络虚拟化技术应运而生。该技术的产生和发展促使云数据中心网络的变革与发展成为新一轮技术革命的核心内容之一。当前,IT行业对数据中心网络的需求越来越大。基于此,论文论述了云数据中心网络虚拟化技术的实现路径。     

盾构机自动控制技术现状与展望

随着我国社会主义市场经济的迅速发展以及科技水平的不断提升,交通运输行业得到了蓬勃发展。当前,随着我国地下隧道等各项工程建设数量的不断上升,盾构机的重要性不言而喻。加强对盾构机自动控制技术的研究工作,不断解决该技术应用过程中存在的问题,才能有效地促进技术应用,为提升我国地下工程施工安全性能奠定技术支持。     

Killing off cohorts: Forecasting mortality of non-extinct cohorts with the penalized composite link model

Mortality forecasting has crucial implications for insurance and pension policies. A large amount of literature has proposed models to forecast mortality using cross-sectional (period) data instead of longitudinal (cohort) data. As a consequence, decisions are generally based on period life tables and summary measures such as period life expectancy, which reflect hypothetical mortality rather than the mortality actually experienced by a cohort. This study introduces a novel method to forecast cohort mortality and the cohort life expectancy of non-extinct cohorts. The intent is to complete the mortality profile of cohorts born up to 1960. The proposed method is based on the penalized composite link model for ungrouping data. The performance of the method is investigated using cohort mortality data retrieved from the Human Mortality Database for England & Wales, Sweden, and Switzerland for male and female populations.     

Monitoring recessions: A Bayesian sequential quickest detection method

Monitoring business cycles faces two potentially conflicting objectives: accuracy and timeliness. To strike a balance between these dual objectives, we propose a Bayesian sequential quickest detection method to identify turning points in real time with a sequential stopping time as a solution. Using four monthly indexes of real economic activity in the United States, we evaluated the method’s real-time ability to date the past five recessions. The proposed method identified similar turning-point dates as the National Bureau of Economic Research (NBER), with no false alarms, but on average, it dated peaks four months faster and troughs 10 months faster relative to the NBER announcement. The timeliness of our method is also notable compared to the dynamic factor Markov-switching model: the average lead time was about five months when dating peaks and two months when dating troughs.     

Using technology to improve the management of development impacts on biodiversity

The mitigation hierarchy (MH) is a prominent tool to help businesses achieve no net loss or net gain outcomes for biodiversity. Technological innovations offer benefits for business biodiversity management, yet the range and continued evolution of technologies creates a complex landscape that can be difficult to navigate. Using literature review, online surveys, and semi-structured interviews, we assess technologies that can improve application of the MH. We identify six categories (mobile survey, fixed survey, remote sensing, blockchain, data analysis, and enabling technologies) with high feasibility and/or relevance to (i) aid direct implementation of mitigation measures and (ii) enhance biodiversity surveys and monitoring, which feed into the design of interventions including avoidance and minimization measures. At the interface between development and biodiversity impacts, opportunities lie in businesses investing in technologies, capitalizing on synergies between technology groups, collaborating with conservation organizations to enhance institutional capacity, and developing practical solutions suited for widespread use.