Cyber Resilience through Real-Time Threat Analysis in Information Security

This paper examines how cybersecurity is developing and how it relates to more conventional information security. Although information security and cyber security are sometimes used synonymously, this study contends that they are not the same. The concept of cyber security is explored, which goes beyond protecting information resources to include a wider variety of assets, including people [1]. Protecting information assets is the main goal of traditional information security, with consideration to the human element and how people fit into the security process. On the other hand, cyber security adds a new level of complexity, as people might unintentionally contribute to or become targets of cyberattacks. This aspect presents moral questions since it is becoming more widely accepted that society has a duty to protect weaker members of society, including children [1]. The study emphasizes how important cyber security is on a larger scale, with many countries creating plans and laws to counteract cyberattacks. Nevertheless, a lot of these sources frequently neglect to define the differences or the relationship between information security and cyber security [1]. The paper focus on differentiating between cybersecurity and information security on a larger scale. The study also highlights other areas of cybersecurity which includes defending people, social norms, and vital infrastructure from threats that arise from online in addition to information and technology protection. It contends that ethical issues and the human factor are becoming more and more important in protecting assets in the digital age, and that cyber security is a paradigm shift in this regard [1].

Bolzano Traffic: An Example of Open ITS Deployment for Advanced Traveller Information Services

This paper aims to present the experience gathered in the Italian alpine city of Bolzano within the project“Bolzano Traffic”whose goal is the introduction of an experimental open ITS platform for local service providers,fostering the diffusion of advanced traveller information services and the future deployment of cooperative mobility systems in the region.Several end-users applications targeted to the needs of different user groups have been developed in collaboration with local companies and research centers;a partnership with the EU Co-Cities project has been activated as well.The implemented services rely on real-time travel and traffic information collected by urban traffic monitoring systems or published by local stakeholders(e.g.public transportation operators).An active involvement of end-users,who have recently started testing these demo applications for free,is actually on-going.

Enlightenment and Suggestions on the Construction of Information Platform and Processing Mechanism of Drug Shortages in Developed Countries to China

Objective To study how to improve and perfect the information platform and processing mechanism of drug shortages in China.Methods By searching the relevant policies from official websites of FDA,European Medicines Agency(EMA),Health Canada(HC)and National Health Commission,the good experience of the United States,the European Union and Canada in the construction of information platform and processing mechanism of drug shortages was summarized for reference in China.Results and Conclusion China has initially established the processing mechanism of drug shortages,but the platform construction should be improved,and the information disclosure of drug shortages varies from province to province.We should improve the information platform of drug shortages,strengthen the disclosure and communication of information,enrich the processing tools and measures after the drug shortages occurs,and strengthen the cooperation with relevant associations and other non-governmental departments.

High Resolution Radar Real-Time Signal and Information Processing

Radar is an electronic device that uses radio waves to determine the range, angle, or velocity of objects. Real-time signal and information processor is an important module for real-time positioning, imaging, detection and recognition of targets. With the development of ultra-wideband technology, synthetic aperture technology, signal and information processing technology, the radar coverage, detection accuracy and resolution have been greatly improved, especially in terms of one-dimensional(1D) high-resolution radar detection, tracking, recognition, and two-dimensional(2D) synthetic aperture radar imaging technology. Meanwhile, for the application of radar detection and remote sensing with high resolution and wide swath, the amount of data has been greatly increased. Therefore, the radar is required to have low-latency and real-time processing capability under the constraints of size, weight and power consumption. This paper systematically introduces the new technology of high resolution radar and real-time signal and information processing. The key problems and solutions are discussed, including the detection and tracking of 1D high-resolution radar, the accurate signal modeling and wide-swath imaging for geosynchronous orbit synthetic aperture radar, and real-time signal and information processing architecture and efficient algorithms. Finally, the latest research progress and representative results are presented, and the development trends are prospected.

Effects of real-time traffic information systems on traffic performance under different network structures

The effects of real-time traffic information system(RTTIS)on traffic performance under parallel,grid and ring networks were investigated.The simulation results show that the effects of the proportion of RTTIS usage depend on the road network structures.For traffic on a parallel network,the performance of groups with and without RTTIS level is improved when the proportion of vehicles using RTTIS is greater than 0 and less than 30%,and a proportion of RTTIS usage higher than 90%would actually deteriorate the performance.For both grid and ring networks,a higher proportion of RTTIS usage always improves the performance of groups with and without RTTIS.For all three network structures,vehicles without RTTIS benefit from some proportion of RTTIS usage in a system.

Research and application of real-time monitoring and early warning thresholds for multi-temporal agricultural products information

Monitoring and early warning is an important means to effectively prevent risks in agricultural production,consumption and price.In particular,with the change of modes of national administration against the background of big data,improving the capacity to monitor agricultural products is of great significance for macroeconomic decision-making.Agricultural product information early warning thresholds are the core of agricultural product monitoring and early warning.How to appropriately determine the early warning thresholds of multi-temporal agricultural product information is a key question to realize real-time and dynamic monitoring and early warning.Based on the theory of abnormal fluctuation of agricultural product information and the research of substantive impact on the society,this paper comprehensively discussed the methods to determine the thresholds of agricultural product information fluctuation in different time dimensions.Based on the data of the National Bureau of Statistics of China(NBSC)and survey data,this paper used a variety of statistical methods to determine the early warning thresholds of the production,consumption and prices of agricultural products.Combined with Delphi expert judgment correction method,it finally determined the early warning thresholds of agricultural product information in multiple time,and carried out early warning analysis on the fluctuation of agricultural product monitoring information in 2018.The results show that:(1)the daily,weekly and monthly monitoring and early warning thresholds of agricultural products play an important early warning role in monitoring abnormal fluctuations with agricultural products;(2)the multitemporal monitoring and early warning thresholds of agricultural product information identified by the research institute can provide effective early warning on current abnormal fluctuation of agricultural product information,provide a benchmarking standard for China's agricultural production,consumption and price monitoring and early warning at the national macro level,and further improve the application of China's agricultural product monitoring and early warning.

Modeling and Statistical Properties Research on Online Real-Time Information Transmission Network

In this paper, the model of the online real-time information transmission network, such as wechat, micro-blog, and QQ network, is proposed and built, based on the connection properties between users of the online real-time information transmission network, and combined with the local world evolving characteristics in complex network, then the statistical topological properties of the network is obtained by numerical simulation. Furthermore, we simulated the process of information transmission on the network, according to the actual characteristics of the online real-time information transmission. Statistics show that the degree distribution presents the characteristics of scale free network, presenting power law distribution, while the average path length, the average clustering coefficient and the average size of the network also has a power-law relationship, moreover, the model parameters has no effect on power-law exponent. The spread of information on the network represents obvious fluctuation scaling, reflecting the characteristics that information transmission fluctuates over time.

Impact of the Real-time Bus Information on Bus Riders, an Evidence from Guangzhou

This paper evaluates impacts of the real-time information from the smartphone APP and the real-time information board at bus stops on bus users with survey data. Through the analysis of data with t-test and linear regression, it is found that the waiting time of bus riders with real-time information from the smartphone APP is much less than that of bus riders without the real-time information. As to the perceived waiting time of bus users, through the linear regression, the study finds that without the real-time information, bus riders’ perceived waiting time is greater than waiting time. At the same time, the perceived waiting time of bus users with real-time information is only slightly larger than their waiting time. Through regressing anxiety on real-time information, perceived waiting time and so on, it is found that real-time information reduces anxiety remarkably.

GE Fanuc—Proficy^TM Real-Time Information Portal 2．1版

GE Fanuc自动化美洲公司推出了全新的Proficy^TM Real-Time Information Portal 2．1版，能为企业提供全厂范围分析、可视化和报告，从而使用户能实时地从工厂数据中得到商务信息。

Information service platform of forest pest forecast based on WebGIS

Taking Linkou Forestry Bureau, Heilongjiang Province, China as the demonstration plot and Dendrolimus pinidiatrea as an example, we developed a WebGIS-based information service platform for forest pest forecast using J2EE and ArcGIS Server technology. The service platform is able to predict the occurrence period, amount of pest, occurrence tendency, and pest zones in the B/S environment and realized the display, querying, analysis and editing of the spatial data and the automatically integrated control of multilevel Data,. Additionaly, the service platform offers the visualization of geographic service and predicted results. It provides a solution for prediction of forest pest and forest resource management.

DuFNet:Dual Flow Network of Real-Time Semantic Segmentation for Unmanned Driving Application of Internet of Things

The application of unmanned driving in the Internet of Things is one of the concrete manifestations of the application of artificial intelligence technology.Image semantic segmentation can help the unmanned driving system by achieving road accessibility analysis.Semantic segmentation is also a challenging technology for image understanding and scene parsing.We focused on the challenging task of real-time semantic segmentation in this paper.In this paper,we proposed a novel fast architecture for real-time semantic segmentation named DuFNet.Starting from the existing work of Bilateral Segmentation Network(BiSeNet),DuFNet proposes a novel Semantic Information Flow(SIF)structure for context information and a novel Fringe Information Flow(FIF)structure for spatial information.We also proposed two kinds of SIF with cascaded and paralleled structures,respectively.The SIF encodes the input stage by stage in the ResNet18 backbone and provides context information for the feature fusionmodule.Features from previous stages usually contain rich low-level details but high-level semantics for later stages.Themultiple convolutions embed in Parallel SIF aggregate the corresponding features among different stages and generate a powerful global context representation with less computational cost.The FIF consists of a pooling layer and an upsampling operator followed by projection convolution layer.The concise component provides more spatial details for the network.Compared with BiSeNet,our work achieved faster speed and comparable performance with 72.34%mIoU accuracy and 78 FPS on Cityscapes Dataset based on the ResNet18 backbone.

Framework Design of Emergency Public Warning Information Release Platform in Hunan Province

Construction background of Hunan emergency public warning information release platform was introduced,and current status and demands of provincial information release were analyzed.Supported by GIS,Java,and Net,Hunan early warning information release platform of public emergency was constructed based on ORACLE database and Windows 2008 Server,achieving information collection,packaging,transmission,de-packaging,and releasing concentration,standard and processing.In addition,the framework and functional characters of the system were illustrated and the innovation points were explored.The system provides guarantee for meteorological services and disaster prevention or reducing of Hunan public emergencies.

Information service platform of forest pest forecast based on WebGIS

Taking Linkou Forestry Bureau, Heilongjiang Province, China as the demonstration plot and Dendrolimus pinidiatrea as an example, we developed a WebGIS-based information service platform for forest pest forecast using J2EE and ArcGIS Server technology. The service platform is able to predict the occurrence period, amount of pest, occurrence tendency, and pest zones in the B/S environment and realized the display, querying, analysis and editing of the spatial data and the automatically integrated control of multilevel Data,. Additionaly, the service platform offers the visualization of geographic service and predicted results. It provides a solution for prediction of forest pest and forest resource management.

Study on Information Exchange Platform for Port Logistics Based on Web Services

Information exchange platform(IEP)for port logistics is used to realize data transmission among different sys- tems and districts by Internet.This paper presents the web services technology used in transferring information for port logistics. The system architecture based on J2EE and B/S mode frame has been constructed to subscribe the distributed information.To en- sure platform independent,extensible markup language(XML)integration technology was also used in the system design.

Research on Architecture of Logistics Public Information Platform

On the basis of the discussion on main functions of logistics public information platform, and the summary of general functions of some typical cases at home and abroad, such as China electronic port and TradeLink, the logistics public information platform architecture is introduced from a technical point of view. It contains multiple levels, such as cloud computing platform and data storage layer, and discusses some new technologies available. Finally, the important trend of the logistics public information platform development is discussed.

A Compositive Information Collection Platform System Based on Web Service

The aim is to solve the problem that how to share dispersive and heterogeneous data inside business information system or some other information source. On the basis of Web service, this paper adopts the notion of Data As ,Service to build service-oriented data integration architecture. According to this architecture, we develop data collection system which effectively integrates data from heterogeneous informa tion source and present a uniform data view to end users by implementing sharing data from heterogeneous systems and information source . At last, this paper gives an example of a compositive information collection platform system.

Fair-News: Digital Journalism Model to Prevent Information Pollution and Manipulation

As digital data circulation increases,information pollution and manipulation in journalism have become more prevalent.In this study,a new digital journalism model is designed to contribute to the solution of the main current problems,such as information pollution,manipulation,and account-ability in digital journalism.The model uses blockchain technology due to its transparency,immutability,and traceability.However,it is tough to provide the mechanisms necessary for journalism,such as updating one piece of information,instantly updating all other information affected by the updated information,establishing logical relationships between news,making quick comparisons,sorting and indexing news,and keeping the changing informa-tion about the news in the system,with the blockchain data structure.For this reason,in our study,we have developed a new data structure that provides both the immutability,transparency and traceability properties of the blockchain and can support the communication mechanisms necessary for journalism.The functionality of our proposed data structure is demonstrated in terms of communication mechanisms such as mutability,context,consistency,and reliability through example scenarios.Additionally,our data structure is compared with the data structure of blockchain technology in terms of time,space,and maintenance costs.Accordingly,while the model size increases linearly in blockchain,the model’s size remains approximately constant since the structure we developed is data-independent.In this way,maintenance costs are reduced.Since our model also has an indexing mechanism,it reduces the linear time search complexity to logarithmic time.As a result,the data structure we developed is found to have higher performance than blockchain in the journalism concept.In future studies,it is planned to test all aspects of the model with a pilot application,eliminate its shortcomings,and develop a holistic approach to the root causes of the problems in the journalism focus.

Real-time hybrid simulation of structures equipped with viscoelastic-plastic dampers using a user-programmable computational platform

A user-programmable computational/control platform was developed at the University of Toronto that offers real-time hybrid simulation （RTHS） capabilities. The platform was verified previously using several linear physical substructures. The study presented in this paper is focused on further validating the RTHS platform using a nonlinear viscoelastic-plastic damper that has displacement, frequency and temperature-dependent properties. The validation study includes damper component characterization tests, as well as RTHS of a series of single-degree-of-freedom （SDOF） systems equipped with viscoelastic-plastic dampers that represent different structural designs. From the component characterization tests, it was found that for a wide range of excitation frequencies and friction slip loads, the tracking errors are comparable to the errors in RTHS of linear spring systems. The hybrid SDOF results are compared to an independently validated thermal- mechanical viscoelastic model to further validate the ability for the platform to test nonlinear systems. After the validation, as an application study, nonlinear SDOF hybrid tests were used to develop performance spectra to predict the response of structures equipped with damping systems that are more challenging to model analytically. The use of the experimental performance spectra is illustrated by comparing the predicted response to the hybrid test response of 2DOF systems equipped with viscoelastic-plastic dampers.

Sustainability of health information exchange platform based on information cooperation

Inactive user participants are an obstacle to the improvement of the sustainability of health information exchange platforms.First,the evolutionary game model of patients and healthcare providers participating in information sharing under four value-based healthcare delivery modes,i.e.,traditional medical model,collaborative care,self-managed care(SMC),and healthcare value co-creation(HVC),is constructed.Second,co-creators'initial participation ratio,information quality,which can trigger deviation from equilibrium sustainability in the dynamic process,is analyzed.Results show that extensive patient participation is more helpful to sustainable platform operation than provider participation.Moreover,quality patient data are more conducive to transforming the healthcare model from SMC to HVC than healthcare provider data.

The Study of English teaching mode based on information platform in higher vocational education

The development of modem information technology brings opportunities to vocational English teaching reform. Teachers use the advantages ＆modem information technology can create a good teaching situation, optimize the classroom teaching process, cultivate student＇ s self-learning ability, and improve the effectiveness of vocational English classroom teaching. The purpose of college English teaching is to enable students to master certain basic knowledge and skills in English, with some listening, speaking, reading, writing, translation ability, a simple verbal and written communication in daily activities and foreign business activities. Modem information technology provides a strong tecbaaical support to achieve this goal. Multimedia teaching methods widely used in teaching activities to vocational English class have brought a series of profound changes. Teachers using modem educational teclmology to fully develop learning resources, build new teaching model, which make vocational English classroom full of vigor and vitality.