基于TCN-GRU的Handle标识解析系统负载均衡算法

数联网技术是解决数据管理困难及数据孤岛等问题的关键。近年来,随着数联网技术的飞速发展,Handle系统作为数联网标识解析领域中最具有代表性的系统得以快速落地。然而,Handle标识注册量和解析请求量的快速增长使得Handle系统缓存/递归解析服务节点的解析请求压力加大,且难以保证标识解析请求的服务质量。针对上述问题,提出一种基于TCN-GRU的缓存/递归解析服务节点的负载均衡算法,旨在优化缓存/递归解析服务节点的标识解析效率。首先,将用户的解析请求合理地分配到缓存/递归解析服务节点的服务器集群当中,以提升服务器集群整体的工作效率和吞吐量;其次,基于Handle系统中节点的层级架构,考虑到循环神经网络中普遍存在的梯度弥散问题,引入TCN时序神经网络,有助于提取服务器集群负载的时序性信息。相较于传统的负载均衡算法,所提算法根据服务器负载状况动态调整负载转发策略,服务器平均响应时间缩短50%左右,吞吐率提高40%左右,请求失败次数大幅减少。

基于DOA思想的数据要素加工流通一体化平台设计

文章针对数据要素流通交易平台各异导致的跨平台检索、多方协作加工、数据溯源困难等问题,提出一种基于数字对象架构(DOA)的数据要素加工流通一体化平台的构建思路。核心思想包括利用Handle和区块链技术为数据资源构建唯一标识符并基于唯一标识符实现数据要素的跨平台检索,利用哈希算法生成数据资源的摘要,结合区块链、数字水印、分布式文件存储等技术手段,利用数字摘要进行数据溯源。最后,文章阐述平台业务流程与架构设计方案。

A Local-Global Attention Fusion Framework With Tensor Decomposition for Medical Diagnosis

Dear Editor,In this letter,a novel hierarchical fusion framework is proposed to address the imperfect data property in complex medical image analysis(MIA)scenes.In particular,by combining the strengths of convolutional neural networks(CNNs)and transformers,the enhanced feature extraction,spatial modeling,and sequential context learning are realized to provide comprehensive insights on the complex data patterns.Integration of information in different level is enabled via a multi-attention fusion mechanism,and the tensor decomposition methods are adopted so that compact and distinctive representation of the underlying and high-dimensional medical image features can be accomplished[1].It is shown from the evaluation results that the proposed framework is competitive and superior as compared with some other advanced algorithms,which effectively handles the imperfect property of inter-class similarity and intra-class differences in diseases,and meanwhile,the model complexity is reduced within an acceptable level,which benefits the deployment in clinic practice.MIA has assumed a pivotal role in numerous critical clinical scenarios,where sophisticated image analysis techniques have proven instrumental in augmenting medical decision-making,facilitating individualized therapeutic interventions,and enhancing patient prognostication[2]−[4].

Observer-Based Adaptive Robust Precision Motion Control of a Multi-Joint Hydraulic Manipulator

Hydraulic manipulators are usually applied in heavy-load and harsh operation tasks.However,when faced with a complex operation,the traditional proportional-integral-derivative(PID)control may not meet requirements for high control performance.Model-based full-state-feedback control is an effective alternative,but the states of a hydraulic manipulator are not always available and reliable in practical applications,particularly the joint angular velocity measurement.Considering that it is not suitable to obtain the velocity signal directly from differentiating of position measurement,the low-pass filtering is commonly used,but it will definitely restrict the closed-loop bandwidth of the whole system.To avoid this problem and realize better control performance,this paper proposes a novel observerbased adaptive robust controller(obARC)for a multi-joint hydraulic manipulator subjected to both parametric uncertainties and the lack of accurate velocity measurement.Specifically,a nonlinear adaptive observer is first designed to handle the lack of velocity measurement with the consideration of parametric uncertainties.Then,the adaptive robust control is developed to compensate for the dynamic uncertainties,and the close-loop system robust stability is theoretically proved under the observation and control errors.Finally,comparative experiments are carried out to show that the designed controller can achieve a performance improvement over the traditional methods,specifically yielding better control accuracy owing to the closed-loop bandwidth breakthrough,which is limited by low-pass filtering in fullstate-feedback control.

Guest Editorial:Special issue on trustworthy machine learning for behavioural and social computing

Machine learning has been extensively applied in behavioural and social computing,encompassing a spectrum of applications such as social network analysis,click stream analysis,recommendation of points of interest,and sentiment analysis.The datasets pertinent to these applications are inherently linked to human behaviour and societal dynamics,posing a risk of disclosing personal or sensitive information if mishandled or subjected to attacks.

Impact of Varying Blower Opening Degrees on Indoor Environment and Thermal Comfort

At present,air handling units are usually used indoors to improve the indoor environment quality.However,while introducing fresh air to improve air quality,air velocity has a certain impact on the occupants’thermal comfort.Therefore,it is necessary to explore the optimization of air-fluid-body interaction dynamics.In this study,the indoor air flow was changed by changing the opening and closing degree of the blower,and the thermal manikin is introduced to objectively evaluate the human thermal comfort under different air velocities.The main experimental results show that the air change rate increases with the increase of the opening and closing degree of the blower considering an ACH(air changes per hour)range between 3.8 and 10.For a better prediction,a linear correlation with a coefficient of 0.995 is proposed.As the blower’s opening is adjusted to 20%,25%,30%,35%,and 40%,the air velocity sensor positioned directly beneath the air inlet records average velocities of 0.19,0.20,0.21,0.28,and 0.34 m/s over four hours,respectively.Observations on thermal comfort and the average sensation experienced by individuals indicate an initial increase followed by a decline when the blower’s operation begins,with optimal conditions achieved at a 35%opening.These findings offer valuable insights for future indoor air ventilation and heat transfer design strategies.

工业互联网Handle标识解析技术在桥梁行业中的创新应用研究

当前,新一轮科技革命和产业变革蓬勃兴起,工业互联网作为第四次工业革命的重要基石,融合人工智能、区块链和大数据、云边协同、数字孪生、边缘计算、5G等新一代信息技术,通过网络、平台、安全3大功能体系构建,实现全要素、全产业链、全价值链的全面连接。Handle标识解析技术作为工业互联网的重要组成部分,也在不断探索在不同场景中的应用。目前,标识解析技术对桥梁建设行业的应用还处于发展探索期,正在不断探索在桥梁全生命周期、供应链管理、上下游对接等方面的应用实践。本文主要描述标识解析技术在打通从桥梁建设到桥梁监测和管养的数据链路方面的应用探索和研究。

化纤行业工业互联网标识解析体系应用发展研究

随着化纤行业制造技术和新一代信息技术的飞速发展,工业互联网标识解析体系的建设恰逢其时。以新凤鸣集团工业互联网标识解析体系二级节点为例,基于Handle体系,结合化纤制造业特征,制定编码规范,研究二级节点平台建设思路,并对平台建设中围绕标识解析有关的核心问题展开分析。

Recent and Forthcoming Events

'Nihao!China'VR Beautiful China Tourism Interactive Experience Exhibition Opened in Laos.On June 6,in the multifunction Hall of China Cultural Center in Laos,"Nihao!China"VR Beautiful China Tourism Interactive Experience Exhibition was officially opened in the launch ceremony of exquisite visual effects and full of scientific and technological sense."Nihao!China"VR Beautiful China Tourism Interactive Experience Exhibition is divided into six experience sections.Guests put on VR devices,hold the handle,and travel through the moment to truly feel Chinese culture.

Handlers’ Musculoskeletal Disorders in an Airline Operating Company in Conakry (Guinea)

Introduction: Musculoskeletal disorders are disorders of the musculoskeletal system related to work. The objective of this study was to musculoskeletal disorders among SOGEAC handlers. Methodology: This was a descriptive and analytic cross-sectional study over 6 months from November 2021 to April 2022. Results: We collected 110 handlers during the study. All of our population had postural constraints and were men. The average age of workers was 39.2 years. 93 handlers or 84.5% did manual handling, and 79% or 71.8% were baggage handlers. Regarding training, 88.2% or 97 handlers were trained, and 89.1% did alternating work. The standing posture was the most adopted with 89.1% followed by the kneeling position with 66.4%. 89.1% carried weights at work. 80 handlers or 73% had developed musculoskeletal disorders and the lumbar seat was found at 70%. The analysis of factors that may influence the occurrence of musculoskeletal disorders did not find any statistically significant relation. Conclusion: Our study shows that musculoskeletal disorders are an occupational health problem and recommends better compliance with occupational safety and health instructions.

Yinxu Museum Unveils Grandeur of the Shang Dynasty

On the banks of the Anyang River and on the Yinxu archeological site in Anyang City,central China’s Henan Province,the grand new building of the Yinxu Museum stands imposingly.This magnificent building,designed in the shape of an ancient Chinese cooking vessel with two loop handles and four legs called ding,is the first national museum offering panoramic views of the civilization of the Shang Dynasty(around 1600-1046 B.C.).The museum,boasting numerous oracle bone inscriptions,has also become one of the new cultural landmarks in China.

工业互联网标识解析体系安全技术研究

工业互联网是工业系统和互联网体系与新一代科学技术融合发展的产物,它通过机器、人、物、料的全面互联对工业数据进行快速计算处理和模型构建。本文从架构安全、身份安全、数据安全及运营安全等方面全方位分析了工业互联网标识解析体系安全风险,并提出了采用安全接入、访问控制等关键技术确保工业互联网标识解析体系网络、信息与数据安全。本研究结合5G、人工智能、云计算、大数据等技术可推动传统产业快速转型升级和工业智能化发展。

Intelligent Vehicle Auxiliary Handling System Based on the Internet of Things Technology

This paper proposes an intelligent vehicle auxiliary handling system based on Internet of Things(IoT)technology,featuring an innovative holding mechanism design that adjusts to the length and width of various vehicles.The system combines precise positioning using satellite tracking technology,intelligent recognition via OpenCV,and the interconnectivity of IoT.This intelligent vehicle auxiliary handling system can independently identify vehicle positions and plan optimal handling paths,eliminating the traditional reliance on manual operation.It offers efficient and accurate handling,setting a new trend in the handling industry.Additionally,the system integrates seamlessly with parking lot management systems,providing real-time updates on vehicle locations and statuses.This allows managers to monitor the parking lot operations clearly and efficiently.This intelligent coordination greatly enhances overall work efficiency and streamlines parking management.Overall,the innovative design of the intelligent vehicle auxiliary handling system represents a significant breakthrough in both function and performance,gaining user favor with its smooth operation.Looking ahead,continued technological advancements and the expansion of application fields will bring even more vitality and intelligence to societal development.

基于工业互联网标识解析技术的城市智慧水务行业数据建设探索

立足于当前我国标识解释体系的建设成果,通过选择互联网标识体系(Handle标识解释体系)作为城市智慧水务数据建设的标识解释体系,即选取Handle体系作为城市智慧水务数据建设标识解释的依托实体,以实现城市智慧水务系统助力水务行业提升效率和可持续发展,进而推动智慧水务的更广泛应用。

Development status and prospect of cold chain logistics of fruits,vegetables,and agricultural products based on intelligent technology

The cold chain in the production area of fruits and vegetables is the primary link to reduce product loss and improve product quality,but it is also a weak link.With the application of big data technology in cold chain logistics,intelligent devices,and technologies have become important carriers for improving the efficiency of cold chain logistics in fruit and vegetable production areas,extending the shelf life of fruits and vegetables,and reducing fruit and vegetable losses.They have many advantages in fruit and vegetable pre-cooling,sorting and packaging,testing,warehousing,transportation,and other aspects.This article summarizes the rapidly developing and widely used intelligent technologies at home and abroad in recent years,including automated guided vehicle intelligent handling based on electromagnetic or optical technology,intelligent sorting based on sensors,electronic optics,and other technologies,intelligent detection based on computer vision technology,intelligent transportation based on perspective imaging technology,etc.It analyses and studies the innovative research and achievements of various scholars in applying intelligent technology in fruit and vegetable cold chain storage,sorting,detection,transportation,and other links,and improves the efficiency of fruit and vegetable cold chain logistics.However,applying intelligent technology in fruit and vegetable cold chain logistics also faces many problems.The challenges of high cost,difficulty in technological integration,and talent shortages have limited the development of intelligent technology in the field of fruit and vegetable cold chains.To solve the current problems,it is proposed that costs be controlled through independent research and development,technological innovation,and other means to lower the entry threshold for small enterprises.Strengthen integrating intelligent technology and cold chain logistics systems to improve data security and system compatibility.At the same time,the government should introduce relevant policies,provide necessary financial support,and establish talent training mechanisms.Accelerate the development and improvement of intelligent technology standards in the field of cold chain logistics.Through technological innovation,cost control,talent cultivation,and policy guidance,we aim to promote the upgrading of the agricultural industry and provide ideas for improving the quality and efficiency of fruit and vegetable cold chain logistics.

Ending Privacy’s Gremlin: Stopping the Data-Broker Loophole to the Fourth Amendment’s Search Warrant Requirement

Advances in technology require upgrades in the law. One such area involves data brokers, which have thus far gone unregulated. Data brokers use artificial intelligence to aggregate information into data profiles about individual Americans derived from consumer use of the internet and connected devices. Data profiles are then sold for profit. Government investigators use a legal loophole to purchase this data instead of obtaining a search warrant, which the Fourth Amendment would otherwise require. Consumers have lacked a reasonable means to fight or correct the information data brokers collect. Americans may not even be aware of the risks of data aggregation, which upends the test of reasonable expectations used in a search warrant analysis. Data aggregation should be controlled and regulated, which is the direction some privacy laws take. Legislatures must step forward to safeguard against shadowy data-profiling practices, whether abroad or at home. In the meantime, courts can modify their search warrant analysis by including data privacy principles.

中文DOI系统的应用研究与开发——从战略规划到国内外合作

2007年3月，中国科学技术信息研究所和万方数据共同申请成为国际DOI联盟IDF的中文注册机构，并开发了中文D01系统。为基于中文D01系统，提高中文期刊的可见度、实现中文期刊间及中文与外文期刊系统之间的链接、实现数字内容的权益保护，在整体战略性规划之下，通过与国内外的相关机构进行合作，实施了相关的应用研发，并取得了初步成效。文章首先介绍中文DOI整体应用战略规划；其次，介绍开发的项目和国际合作，它们是中文DOI系统、与美国CNR Handle System的国际合作、精品科技期刊项目、新闻出版总署的“数字对象标识符”标准体系的预研研究以及中国版权保护中心的基于DOI的版权保护研究；最后给出目前的课题和今后的展望。

一种互联网资源标志与寻址技术:Handle System

互联网最基础的资源标志与寻址技术是域名和IP地址,随着互联网资源种类的增加,以及应用的发展,出现了对新一代互联网资源标志与寻址技术的需求。介绍了一种新的互联网资源标志与寻址技术,并将这种技术应用到域名系统中。

电力装备制造业工业互联网标识解析体系应用发展研究

近年来我国工业互联网技术与制造业不断地深度融合,工业互联网标识解析体系的建设与应用成为了研究的热点。电力装备制造业作为关系国民经济发展的重要领域,工业互联网标识解析体系的建设和行业化应用具有重要的研究意义。首先对比国内外主流标识解析体系,分析了中国工业互联网标识解析体系架构设计思路。然后结合中国电力装备制造工业标识的特点,研究了基于Handle体系的行业二级节点建设思路,提出一套适用于电力装备制造业的Handle标识解析体系与技术实现方法。最后阐释该体系给企业带来的应用价值以及未来面临的挑战与机遇。