A survey on semantic communications:Technologies,solutions,applications and challenges

Semantic Communication(SC)has emerged as a novel communication paradigm that provides a receiver with meaningful information extracted from the source to maximize information transmission throughput in wireless networks,beyond the theoretical capacity limit.Despite the extensive research on SC,there is a lack of comprehensive survey on technologies,solutions,applications,and challenges for SC.In this article,the development of SC is first reviewed and its characteristics,architecture,and advantages are summarized.Next,key technologies such as semantic extraction,semantic encoding,and semantic segmentation are discussed and their corresponding solutions in terms of efficiency,robustness,adaptability,and reliability are summarized.Applications of SC to UAV communication,remote image sensing and fusion,intelligent transportation,and healthcare are also presented and their strategies are summarized.Finally,some challenges and future research directions are presented to provide guidance for further research of SC.

Recent Progress in Synthesis, Mechanism and Applications of Zinc-Based Metal-Organic Frameworks for Fluorescent Sensing

As more and more pollutants threaten human health, it is necessary and essential to develop sensitive, accurate and rapid methods and sensory materials to detect harmful substance. Metal-organic frameworks (MOFs) are inorganic-organic hybrids assembled from inorganic metal ions or clusters and suitable organic ligands. Zinc-based MOFs (Zn-MOFs) have emerged as one of the most promising sensory material of MOFs for practical applications, and attracted significant attention due to structural diversity and incomparable stability properties. However, there are few reviews on systemic summary of synthesis design, mechanism and application of Zn-MOFs. In this review, we summarize the synthesis design methods, structure types and luminescence mechanism of Zn-MOFs sensor recognition in the past ten years and their applications in metal cations, anions, organic compounds and other analytes. Finally, we present a short conclusion, and look forward to the future development direction of Zn-MOFs.

Metal-Organic Framework Nanocarriers for Drug Delivery in Biomedical Applications

Investigation of metal–organic frameworks(MOFs)for biomedical applications has attracted much attention in recent years.MOFs are regarded as a promising class of nanocarriers for drug delivery owing to well-defined structure,ultrahigh surface area and porosity,tunable pore size,and easy chemical functionalization.In this review,the unique properties of MOFs and their advantages as nanocarriers for drug delivery in biomedical applications were discussed in the first section.Then,state-ofthe-art strategies to functionalize MOFs with therapeutic agents were summarized,including surface adsorption,pore encapsulation,covalent binding,and functional molecules as building blocks.In the third section,the most recent biological applications of MOFs for intracellular delivery of drugs,proteins,and nucleic acids,especially aptamers,were presented.Finally,challenges and prospects were comprehensively discussed to provide context for future development of MOFs as efficient drug delivery systems.

Recent advancements in metal-organic frameworks for green applications

A series of environmental and energy issues,such as global warming,water pollution,acid rain,and energy shortage,have to be settled urgently.Metal-organic frameworks(MOFs)are compounds consisting of metal ions or clusters coordinated to organic ligands,which show great promise for alleviating or mitigating these challenges owing to their outstanding physical and chemical properties.In this review,we summarize the recent advances of MOFs in the fields of green applications,including carbon capture,harmful gas removal,sewage treatment,and green energy storage.In addition,the challenges and prospects of the large-scale commercialized use of MOFs in handling environmental issues are also discussed.

Large-Scale Ontology Development and Agricultural Application Based on Knowledge Domain Framework

The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management- the knowledge domain framework （KDF）, and introduces an integrated development environment （IDE） named large-scale ontology development environment （LODE）, which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the described briefly. principle of knowledge domain framework and LODE was

APPLICATIONS AND MANUFACTURE OF THE MICROSCALE LONG-OPTICAL-PATH ELECTROCHEMICAL CELL WITH A PLUG-IN THIN-LAYER ELECTRODE

The construction and characteristics of a microscale long-optical-path electrochemi- cal cell with a plug-in thin-layer electrode are described.Using ferricyanide as the test species,the thermodynamic parameters of electron transfer processes are determined at car- bon,plantinum,and gold electrodes.

Testability Estimation of Framework Based Applications

Quality of software systems is highly demanded in today’s scenario. Highly testable system enhances the reliability also. More than 50% of test effort-time and cost are used to produce a highly testable system. Thus, design-for-testability is needed to reduce the test effort. In order to enhance the quality, productivity and reduced cost of the software organizations are promoting to produce the reuse-oriented products. Incorporating reuse technology in both aspects-software development process and test process may payoff many folds. Keeping this view, our study focus the testability of the object-oriented framework based software systems and identify that flexibility at the variable points of the object-oriented framework, chosen for framework instantiation, greatly affects the testability of object-oriented framework based software at each level of testing. In the current paper, we propose a testability model considering the flexible aspect of the variable point to estimate testability in the early phase, requirement analysis phase, of development process of the framework based software. The proposed model helps to improve the testability of the software before the implementation starts thus reducing the overall development cost.

Framework for Extensible Application Testing

In recent years large corporations as well as smaller commercial enterprises have begun to devote increased attention to software testing and software quality. This paper introduces a novel tool—the Framework for Extensible Application Testing (FEAT), implemented by the author and applicable for automatic generation and execution of test cases. The paper discusses system requirements, design, architecture and modes of operation. It also contains a detailed comparison of the FEAT framework with existing test environments, focusing in particular on the STAF/STAX framework. The final section is devoted to experimental research into the applicability and efficiency of the presented tools in various projects and configurations, as reflected by quality metrics.

Covalent organic framework monolayer:Accurate syntheses and advanced application

Covalent organic framework(COF)monolayers,with atomically thin,ordered networks,and rich functionality,are widely studied due to their unusual structure/property relationships.However,synthesizing COF monolayer has remained an unmet challenge due to the difficulty of controlling reactions at the monolayer limit with large-scale uniformity.The identification and development of new reactions and polymerization conditions are critical for the further advancement of COF monolayer materials.Moreover,as one-molecule-thick a freestanding films,COF monolayer offers an ideal material system.Many advanced applications of COF monolayer have been explored in recent literature.This review provides an overview of the current state of precise synthetic strategies for COF monolayer,highlighting the advantages and limitations of different synthetic approaches and key challenges related to enhancing quality,and emphasizing the unique benefits of COF monolayer as both an ideal model system and for advanced applications.

Synthesis of covalent organic framework materials and their application in the field of sensing

Covalent organic frameworks(COFs)are an emerging type of porous crystalline polymers formed by combining strong covalent bonds with organic building blocks.Due to their large surface area,high intrinsic pore space,good crystallization properties,high stability,and designability of the resultant units,COFs are widely studied and used in the fields of gas adsorption,drug transport,energy storage,photoelectric catalysis,electrochemistry,and sensors.In recent years,the rapid development of the Internet of Things and people’s yearning for a better life have put forward higher and more requirements for sensors,which are the core components of the Internet of Things.Therefore,this paper reviews the recent progress of COFs in synthesis methods and sensing applications,especially in the last five years.This paper first introduces structure,properties,and synthesis methods of COFs and discusses advantages and disadvantages of different synthesis methods.Then,the research progress of COFs in different sensing fields,such as metal ion sensors,gas sensors,biomedical sensors,humidity sensors,and pH sensors,is introduced systematically.Conclusions and prospects are also presented in order to provide a reference for researchers concerned with COFs and sensors.

基于Plug-in Framework的警务GIS应用系统的设计与实现

采用插件式框架(Plug-in Framework)技术构建警务GIS应用系统,并以合肥市为例,具体阐述了系统的设计思路和实现方法.

Cloud-Based Access Control to Preserve Privacy in Academic Web Application

Emerging cloud computing has introduced new platforms for developing enterprise academic web applications, where software, platforms and infrastructures are published to the globe as services. Software developers can build their systems by multiple invocations of these services. This research is devoted to investigating the management and data flow control over enterprise academic web applications where web services and developed academic web application are constructing infrastructure-networking scheme at the application level. Academic web services are invoked over http port and using REST based protocol;thus traditional access control method is not enough to control the follow of data using host and port information. The new cloud based access control rules proposed here are to be designed and implemented to work at this level. The new proposed access control architecture will be a web service gateway, and it published itself as a service (SaaS). We used three case studies to test our moodle and then we apply JSON parsers to perceive web service description file (WSDL file) and supply policies according to data are to be allowed or denied based on user roll through our parsing.

Instagram Mobile Application Digital Forensics

In this research,we developed a plugin for our automated digital forensics framework to extract and preserve the evidence from the Android and the IOS-based mobile phone application,Instagram.This plugin extracts personal details from Instagram users,e.g.,name,user name,mobile number,ID,direct text or audio,video,and picture messages exchanged between different Instagram users.While developing the plugin,we identified resources available in both Android and IOS-based devices holding key forensics artifacts.We highlighted the poor privacy scheme employed by Instagram.This work,has shown how the sensitive data posted in the Instagram mobile application can easily be reconstructed,and how the traces,as well as the URL links of visual messages,can be used to access the privacy of any Instagram user without any critical credential verification.We also employed the anti-forensics method on the Instagram Android’s application and were able to restore the application from the altered or corrupted database file,which any criminal mind can use to set up or trap someone else.The outcome of this research is a plugin for our digital forensics ready framework software which could be used by law enforcement and regulatory agencies to reconstruct the digital evidence available in the Instagram mobile application directories on both Android and IOS-based mobile phones.

Smart Location-Based Mobile Shopping Android Application

In the paper, a smart location-based mobile shopping application for Android devices is proposed. The Geo-position of the user’s mobile device is utilized to produce location information in shopping application (SAGO). The flow of the application is that user searches a product, and then SAGO identifies the location and searches the product on the closest electronic local stores. The idea is to get the prices from each local store with in stock information and smartly listed product list. With the proposed smart filtering algorithm, mobile shopping application achieves precise and minimum error based on searching and listing results.

推动人工智能向善发展:教育与人工智能共同的责任

人工智能的迅速发展正深刻改变人类的生产方式、生活方式和学习方式,对教育产生深度影响,而现阶段生成式人工智能工具在教育领域广泛应用,给教育带来新的道德伦理问题。该文首先从人工智能快速发展引发更加复杂的道德伦理问题和人工智能道德伦理是人类道德伦理价值体系新组成两方面给出人工智能延展人类道德伦理范围。再从人工智能教育应用伦理风险、教育人工智能伦理治理现状、教育人工智能伦理需解决问题等三个层面阐述了教育人工智能应用伦理风险与治理。再次从核心素养培养、规范应用监管、道德伦理框架、技术规范研制等四个维度给出人工智能向善发展的建设路线。最后,给出五条发展建议:加强顶层设计,系统规划总体框架;重视育人为本,创新发展人工智能课程;遵循治理原则,促进技术向善赋能;明确价值准则,助力人机相融共进;加快标准制定,规范教育人工智能实践。以期推动人工智能向善发展,赋能、赋智教育,促进教育数字化转型,构筑智能时代的人类命运共同体。

数字技术促进村民参与乡村治理的作用机制——基于技术执行框架的案例研究

乡村数字治理实践中,技术应用对村民参与的促进机制有待深入探索。借鉴技术执行框架,通过一个乡村数字治理的典型案例研究发现,在数字平台建设中,乡镇政府融合了包括场景映射、技术容纳和便利互动的技术应用创新,以及利益兑现、治理整合和角色归位的制度创新。技术应用与制度创新共同面向参与的动力、行动与有效性,构成了按参与“分配”、功能集成,以及权能塑造的村民参与促进机制。作为启示,对乡村数字治理的研究和实践,应当关注数字技术执行阶段,注重技术应用与制度创新的协同作用。

ChatGPT视域下智能财务变革:逻辑、框架及应用场景

随着ChatGPT为代表的人工智能技术的迅速发展,财务行业智能化和数字化转型升级需求日益迫切。研究从核算型、管理型、战略型三个层面分析ChatGPT对智能财务框架体系的影响,探讨其在数据处理、咨询服务、财务决策、财务分析、战略规划、内部控制等环节中的应用场景,并针对其存在的风险挑战提出应对策略,进而助力财务智能化和企业数字化转型。

中国人文社科领域研究方法应用的实证研究——基于大规模博士学位论文的调查

[目的/意义]研究方法的发展能在一定程度上反映学科的发展。目前鲜有针对中国整体人文社科领域研究方法使用的调研。对该领域不同学科研究方法的使用情况进行比较,可以揭示不同学科研究方法应用的特点,并为相关学者进行课题研究提供研究方法的使用建议。[方法/过程]与一般期刊论文相比,中国人文社科领域的博士学位论文中的研究方法通常会在特定的小节被明确阐述,便于提取分析。文章基于人文社科领域21个一级学科共63741篇博士学位论文,构建研究方法分类框架,抽取论文使用的研究方法,并从研究方法的使用频次、时间演化以及学科相关度角度进行深入分析。[结果/结论]中国人文社科领域研究方法命名存在不规范的问题,但方法意识正逐渐增强;比较分析法、历史分析法、文献研究法等经典的数据分析方法仍占主导地位;多数热门研究方法在人文社科领域不同学科之中存在一定的普适性。

泛在空间定位的概念框架与服务

全球导航卫星系统(GNSS)时空信息服务面临复杂场景的信号覆盖性难题,无法解决“无处不在”的泛在时空服务需求。为此,开展基于北斗卫星导航系统(BDS)信号的室内外无缝导航定位技术研究和系统研制,实现泛在空间定位服务非常必要。本文首先定义了“地上/室外定位+地下/室内定位+云上定位”的泛在空间定位体系概念,提出了泛在空间定位体系架构、信号信息架构、应用服务架构,给出了体系关键技术、应用服务类型、应用模式,构建了泛在空间定位试验网络,开展了针对典型场景的地上/室外定位、地下/室内定位和云上定位性能的初步示范验证、测试结果分析与服务能力评估。研究结果表明:以BDS为核心的泛在空间定位试验网络可提供泛在时空信息服务,能够将BDS导航定位服务从开阔空间全面拓展到半遮蔽及全遮蔽空间。