Towards Cache-Assisted Hierarchical Detection for Real-Time Health Data Monitoring in IoHT

Real-time health data monitoring is pivotal for bolstering road services’safety,intelligence,and efficiency within the Internet of Health Things(IoHT)framework.Yet,delays in data retrieval can markedly hinder the efficacy of big data awareness detection systems.We advocate for a collaborative caching approach involving edge devices and cloud networks to combat this.This strategy is devised to streamline the data retrieval path,subsequently diminishing network strain.Crafting an adept cache processing scheme poses its own set of challenges,especially given the transient nature of monitoring data and the imperative for swift data transmission,intertwined with resource allocation tactics.This paper unveils a novel mobile healthcare solution that harnesses the power of our collaborative caching approach,facilitating nuanced health monitoring via edge devices.The system capitalizes on cloud computing for intricate health data analytics,especially in pinpointing health anomalies.Given the dynamic locational shifts and possible connection disruptions,we have architected a hierarchical detection system,particularly during crises.This system caches data efficiently and incorporates a detection utility to assess data freshness and potential lag in response times.Furthermore,we introduce the Cache-Assisted Real-Time Detection(CARD)model,crafted to optimize utility.Addressing the inherent complexity of the NP-hard CARD model,we have championed a greedy algorithm as a solution.Simulations reveal that our collaborative caching technique markedly elevates the Cache Hit Ratio(CHR)and data freshness,outshining its contemporaneous benchmark algorithms.The empirical results underscore the strength and efficiency of our innovative IoHT-based health monitoring solution.To encapsulate,this paper tackles the nuances of real-time health data monitoring in the IoHT landscape,presenting a joint edge-cloud caching strategy paired with a hierarchical detection system.Our methodology yields enhanced cache efficiency and data freshness.The corroborative numerical data accentuates the feasibility and relevance of our model,casting a beacon for the future trajectory of real-time health data monitoring systems.

Camera Pose Estimation Using Collaborative Databases and Single Building Image

Cities are in constant change and city managers aim to keep an updated digital model of the city for city governance. There are a lot of images uploaded daily on image sharing platforms (as “Flickr”, “Twitter”, etc.). These images feature a rough localization and no orientation information. Nevertheless, they can help to populate an active collaborative database of street images usable to maintain a city 3D model, but their localization and orientation need to be known. Based on these images, we propose the Data Gathering system for image Pose Estimation (DGPE) that helps to find the pose (position and orientation) of the camera used to shoot them with better accuracy than the sole GPS localization that may be embedded in the image header. DGPE uses both visual and semantic information, existing in a single image processed by a fully automatic chain composed of three main layers: Data retrieval and preprocessing layer, Features extraction layer, Decision Making layer. In this article, we present the whole system details and compare its detection results with a state of the art method. Finally, we show the obtained localization, and often orientation results, combining both semantic and visual information processing on 47 images. Our multilayer system succeeds in 26% of our test cases in finding a better localization and orientation of the original photo. This is achieved by using only the image content and associated metadata. The use of semantic information found on social media such as comments, hash tags, etc. has doubled the success rate to 59%. It has reduced the search area and thus made the visual search more accurate.

Inter-laboratory Validation of Real-time PCR Assays for Goat-,Horse-and Donkey-derived Material in Meat Products

In this study,we performed an inter-laboratory collaborative ring trial to develop and validate specific TaqMan real-time PCR assays for goat-,horse-,and donkey-derived material in meat products.The performances of these assays in different environments and situations were comprehensively evaluated.This ring trial involved the participation of 12 laboratories in Europe and Asia.The results from the participating laboratories were analyzed to determine the specificity,accuracy,false positive rate,limit of detection(LOD),and probability of detection(POD)of the developed assays.Statistical analysis showed that the false positive and negative rates were zero,the LOD was five copies/reaction,and the laboratory standard deviation(σ_(L))was 0.30 for all three assays.Thus,the results demonstrate that the developed methods are robust and suitable for the detection and identification of goat-,horse-,and donkey-derived materials in meat products.

Development of a multi-view and geo-event-driven real-time collaborative GIS

Supporting distributed real-time collaborative work has become an important development trend in GIS.It enables group users to cooperate and improve the use of scientific data and collaboration technologies.Real-time collaborative GIS(RCGIS)provides a platform for supporting synchronous collaboration using geospatial data in various forms.Traditional RCGIS generally works on a single map view,which has the disadvantage of collaborative interface confusion.The traditional system-driven mechanism of RCGIS is a computer-interaction event that has the disadvantage of an unfriendly collaborative perception.This paper presents a design and prototype of a RCGIS based on multi-view and geo-event driven mechanisms.The geo-event-driven mechanism provides users with a smoother collaborative perception and interactions that are more natural and friendly.The collaboration process for a GIS that is driven by geo-events is also discussed.A multi-view technique is used to make real-time GIS collaboration more orderly.The paper also proposes a synchronization strategy for public–private views.Finally,walk-through examples are used to demonstrate the use of RCGIS within a web environment.

Epoch-based Application Collaboration for Sensing Data Analysis

The application collaboration was addressed to provide energy-efficient data services for distributed sensing applications to collaboratively interacting to achieve a desired global objective not detectable by any single cluster. An epoch-based transaction model was proposed by using the concept of sphere of control （SoC）, and a collaborative sensing application can be dynamically formed as a nested architecture composed of time-synchronized applications. By loosening the rigid constraints of ACID to adapt the requirements of sensor networks, the submission, rollback and consistency rules ware educed and a two-phrase submission protocol was designed. Finally, it was illustrated that the model is capable of providing an adaptive formal template for sensing application collaboration. Our performance evaluations show that by applying the two-phrase submission protocol, we can significantly improve the number of reported answers and response time, raise resource utilization, and reduce the energy cansumption and data loss.

A New Generation of Intelligent Mapping and Remote Sensing Scientific Test Satellite Luojia-301

With the continuous improvement of the performance and the increasing variety of optical mapping and remote sensing satellites,they have become an important support for obtaining global accurate surveying and mapping remote sensing information.At present,optical mapping and remote sensing satellites already have sub-meter spatial resolution capabilities,but there is a serious lag problem in mapping and remote sensing information services.It is urgent to develop intelligent mapping and remote sensing satellites to promote the transformation and upgrading to real-time intelligent services.Firstly,based on the three imaging systems of the optical mapping and remote sensing satellites and their realization methods and application characteristics,this paper analyzes the applicable system of the intelligent mapping and remote sensing satellites.Further,according to the application requirements of real-time,intelligence,and popularization,puts forward the design concept of integrated intelligent remote sensing satellite integrating communication,navigation,and remote sensing and focuses on the service mode and integrated function composition of intelligent remote sensing satellite.Then expounds on the performance and characteristics of the Luojia-301 satellite,a new generation of intelligent surveying and mapping remote sensing scientific test satellite.And finally summarizes and prospects the development and mission of intelligent mapping remote sensing satellites.Luojia-301 satellite integrates remote sensing and communication functions.It explores an efficient and intelligent service mode of mapping and remote sensing information from data acquisition to the application terminal and provides a real service verification platform for on-orbit processing and real-time transmission of remote sensing data based on space-ground internet,which is of great significance to the construction of China’s spatial information network.

基于GIS的分布式实时协同制图系统的研究

由于Internet网络带宽限制等诸多方面的影响,基于GIS的分布式实时协同制图系统是较难实现的。采用复制式 模型构造了一个基于GIS的分布式实时协同制图系统,并且采用动态数据格式作为各站点的交换数据,极大限度地减少 了网络数据传榆量,提高了系统的响应速度和稳定性,满足了协同制图系统对实时性的要求。

公益性地图协同精细化制图技术设计与实践

针对国家应急救灾、战略规划、重大活动对公益性地图保障服务“既快又好”的需求,提出了众包协同增量制图的技术思路,研制了增量协同制图的系列算法及工具,开发了众包协同精细化制图系统,制图效率提高3~5倍。

基于四叉树索引的区域版本实时协同绘图系统

随着传统GIS向网络GIS的发展,地图的更新通常需要网络中多个站点相互协作完成,传统的并发控制策略不能很好满足协同GIS中多用户协作感知的要求。为此提出了基于四叉树索引的区域版本并发控制机制,并给出了基于四叉树索引的区域版本实时协同绘图系统的框架和相关问题的解决方案。

计算机地图制图课程的协同教学模式

为培养适应社会需求的测绘类高级专业技术人才,以协同创新理念为指导,对"计算机地图制图"课程的协同式教学模式进行了探索和实践,为专业的教学改革与课程建设探索了新途径。

一体化地图辅助设计系统的设计与实现

鉴于如今地图更迭周期不断缩短、地图编制过程冗余复杂,一体化地图辅助设计旨在构建一个通过制图工具、地图制图辅助和网络管理交互协作,进而提升地图编制效率的系统。首先,对现有的地图编制进行介绍并分析现有地图编制的不足与缺陷。其次,提出将制图工具、制图辅助和管理平台一体化的设想。然后,从制图辅助功能、网络协同管理两个方面,分别应对实际作业流程与管理流程中所遇到的问题,并且给出对应的解决方案与实现步骤。最后,提出对地图编制智能化发展的展望。可以看出,伴随着人工智能的发展,地图编制也应该做出改变,向更加智能高效的方向发展。

Personalized Real-Time Movie Recommendation System:Practical Prototype and Evaluation

With the eruption of big data,practical recommendation schemes are now very important in various fields,including e-commerce,social networks,and a number of web-based services.Nowadays,there exist many personalized movie recommendation schemes utilizing publicly available movie datasets(e.g.,MovieLens and Netflix),and returning improved performance metrics(e.g.,Root-Mean-Square Error(RMSE)).However,two fundamental issues faced by movie recommendation systems are still neglected:first,scalability,and second,practical usage feedback and verification based on real implementation.In particular,Collaborative Filtering(CF)is one of the major prevailing techniques for implementing recommendation systems.However,traditional CF schemes suffer from a time complexity problem,which makes them bad candidates for real-world recommendation systems.In this paper,we address these two issues.Firstly,a simple but high-efficient recommendation algorithm is proposed,which exploits users1 profile attributes to partition them into several clusters.For each cluster,a virtual opinion leader is conceived to represent the whole cluster,such that the dimension of the original useritem matrix can be significantly reduced,then a Weighted Slope One-VU method is designed and applied to the virtual opinion leader-item matrix to obtain the recommendation results.Compared to traditional clusteringbased CF recommendation schemes,our method can significantly reduce the time complexity,while achieving comparable recommendation performance.Furthermore,we have constructed a real personalized web-based movie recommendation system,MovieWatch,opened it to the public,collected user feedback on recommendations,and evaluated the feasibility and accuracy of our system based on this real-world data.

顾及团队化运行需要的地图设计模型研究

在分析传统专家依赖型地图设计模式不足的基础上,从地图保障时代特色与工程实践的角度出发研究并提出适合团队内部分工协作的地图设计模型,并对3大功能模块在地图设计实践中的基本职能与技能要求进行了说明。以此模型为基础构建并实施的团队化地图设计可有效缓解地图设计面临的突出矛盾,较好地满足了信息时代按需定制的地图保障要求。

树商陆:潮湿的潘帕斯大草原景观的实践与表达

学名为Phytolacca dioica的树种将会贯穿全文。此树种在乌拉圭的通用名叫做树商陆,是本研究缘起的核心。它是潘帕斯大草原的标志性物种,也是乌拉圭景观特质的基础。树商陆在研究和教育工作领域的目标和意义在于将艺术、人类、社会和自然科学联系起来。对树商陆在潘帕斯大草原湿润气候下所表现出的景观价值进行研究。提高了公众对自然元素同景观价值、地方故事间关系的认知度和敏感度。这加强了对遗产以及领土和文化融合的集体责任感。理论往往需要适用于方法论,并协作实践性的工作。例如现场活动与ICT(门户网站http://www.ombues.edu.uy)的相互关联,这便如不断往返于科学文化的普及与流行文化的智慧,用跨学科的方式建构知识。

Edge-cloud collaborative intelligent production scheduling based on digital twin

With the application of various information technologies in smart manufacturing,new intelligent production mode puts forward higher demands for real-time and robustness of production scheduling.For the production scheduling problem in large-scale manufacturing environment,digital twin(DT)places high demand on data processing capability of the terminals.It requires both global prediction and real-time response abilities.In order to solve the above problem,a DT-based edge-cloud collaborative intelligent production scheduling(DTECCS)system was proposed,and the scheduling model and method were introduced.DT-based edge-cloud collaboration(ECC)can predict the production capacity of each workshop,reassemble customer orders,optimize the allocation of global manufacturing resources in the cloud,and carry out distributed scheduling on the edge-side to improve scheduling and tasks processing efficiency.In the production process,the DTECCS system adjusts scheduling strategies in real-time,responding to changes in production conditions and order fluctuations.Finally,simulation results show the effectiveness of DTECCS system.

地图与制图术:国际批判制图学/GIS研究进展

地图是地理学的基本语言,也是空间分析必不可少的工具。但长期以来,地图一直被视为一种客观中立的科学成果。受批判地理学的启发,批判制图学/GIS应运而生,其目标是阐明制图实践中所嵌入的话语、权力关系,挑战地图表征中未经检验却被认为是理所当然的假设。经历40余年的争论与磨合,这一研究领域初现轮廓,批判制图学/GIS大致形成2个研究方向:解构路径主要从制图主体身份和地图知识生产过程2个方面出发,分别剖析制图术与国家治理密不可分的联系及其内在的权力作用机制;建构路径主要借助协作制图和反制图手段以实现地图数据的再生产。国内批判制图学/GIS研究刚刚起步,需要继续吸收批判地理学成果,开展不同历史时期、不同类型地图的解构研究,也需要加强建构路径与解构路径的深度弥合,并面向公众开展更加开放、公正的地图应用研究,将研究成果积极应用于社会实践。