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[前沿资讯] Big data reveals we're running out of time to save environment and ourselves 进入全文

ScienceDaily

The paper, 'Opportunities for big data in conservation and sustainability', published today in Nature Communications, said increased computing speeds and data storage had grown the volume of big data in the last 40 years, but the planet was still facing serious decline. Lead author Dr Rebecca Runting from the University of Melbourne's School of Geography says that while we currently have an unprecedented ability to generate, store, access and analyse data about the environment, these technological advances will not help the world unless they lead to action. "Big data analyses must be closely linked to environmental policy and management," Dr Runting said. "For example, many large companies already possess the methodological, technical, and computational capacity to develop solutions, so it is paramount that new developments and resources are shared timely with government, and in the spirit of 'open data'."

[政策法规] Data Together COVID-19 Appeal and Actions 进入全文

RDA EU

四个主要国际数据组织:RDA、CODATA,GO-FAIR和WDS一起,概述了他们的共同承诺,以共同努力优化全球研究数据生态系统,并确定将发起联邦基础架构服务的机遇和需求,数据驱动科学的新现实。这行动的第一个具体任务是“COVID-19数据汇集呼吁和行动”。COVID-19大流行对全球的科学系统以及科学研究和数据基础架构提出了一项重大考验。 这些基础设施,例如开放的科学云和数据共享,必须满足人们的需求。不仅在“正常”时期,可以实时提供对各种科学和政策相关反应和大规模控制访问,而且在危机时期也可以对科学,政策和人文科学进行评估。

[学术文献] Wireless technologies for smart agricultural monitoring using internet of things devices with energy harvesting capabilities 进入全文

Computers and Electronics in Agriculture

Technological advances in the Internet of Things (IoT) have paved the way for wireless technologies to be used in new areas. Agricultural monitoring is an example where IoT can help to increase productivity, efficiency, and output yield. However, powering these devices is a concern as batteries are often required due to devices being located where electricity is not readily available. In this paper, an experimental comparison is performed between IoT devices with energy harvesting capabilities that use three wireless technologies: IEEE 802.11 g (WiFi 2.4 GHz), IEEE 802.15.4 (Zigbee), and Long Range Wireless Area Network (LoRaWAN), for agricultural monitoring. Four experiments were conducted to examine the performance of each technology under different environmental conditions. According to the results, LoRaWAN is the optimal wireless technology to be used in an agricultural monitoring system, when the power consumption and the network lifetime are a priority.  

[学术文献] Security information transmission algorithms for IoT based on cloud computing 进入全文

Computer Communications

Due to the traditional cloud computing-based information transmission mechanisms and IOT’s problems of large errors and low security, a heterogeneous integrated network resource management algorithm based on information security transmission is proposed. The algorithm adopts the advantages of information security transmission technology to collect resources in heterogeneous integrated network, then improves resource management algorithms and finally establishes a resource management algorithm model based on information security transmission, thereby implement the management process of heterogeneous integrated network resources. Through experimental demonstration and analysis methods, the effectiveness of the resource management algorithm is determined, which can reduce resource management errors and can improve security performance and management accuracy in the resource management process. In addition, the paper also introduces main data encryption technology and discusses the intelligent collection process of the Internet of Things(IoT), which is the technology background of the presented algorithm.

[前沿资讯] COVID-19: Aeolus and weather forecasts 进入全文

欧洲宇航局(ESA)

新冠肺炎对人类健康构成严重危险,给医疗保健系统的运行带来巨大压力,并且可能使全球经济在未来几年内陷入困境。伴随着全球范围内实行的封锁隔离措施,此次疫情也影响着生活的方方面面。比如,商业飞机航班次数的减少导致天气预报测量次数减少,但欧洲宇航局风神卫星任务正努力帮助填补天气数据的缺失。

[前沿资讯] Nanosensor can alert a smartphone when plants are stressed 进入全文

ScienceDaily

Plants use hydrogen peroxide to communicate within their leaves, sending out a distress signal that stimulates leaf cells to produce compounds that will help them repair damage or fend off predators such as insects. The new sensors can use these hydrogen peroxide signals to distinguish between different types of stress, as well as between different species of plants. This kind of sensor could be used to study how plants respond to different types of stress, potentially helping agricultural scientists develop new strategies to improve crop yields. The researchers demonstrated their approach in eight different plant species, including spinach, strawberry plants, and arugula, and they believe it could work in many more.

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