The Mode of Data Exchange between PHRDC and HIS

参照国家有关个人健康档案的标准。分析HIS与PHRDC之间门诊、住院等不同医疗信息的数据交换时机及不同类型医院HIS与PHRDC的数据交换方式。以研究医疗机构与个人健康档案数据中心之间接口。并设计不同的交换方式和数据交换时机。针对不同医疗信息、医疗机构规模，提出不同的数据交换时机和交换方式，实现个人健康档案数据中心与HIS数据交换根据固化医疗信息的特点择时上传。并能挑选符合自身实际的数据交换方式。

Implementing Marine XML for Observed CTD Data in a Marine Data Exchange Platform

In order to archive, quality control and disseminate a large variety of marine data in a marine data exchange platfonn, a marine XML has been developed to encapsulate marine data, which provides an efficient means to store, transfer and display marine data. This paper first presents the details of the main marine XML elements and then gives an example showing how to transform CTD-observed data into Marine XML format, which illustrates the XML encapsulation process of marine observed data.

Data Exchange in Grid Workflow

In existing web services-based workflow, data exchanging across the web services is centralized, the workflow engine intermediates at each step of the application sequence. However, many grid applications, especially data intensive scientific applications, require exchanging large amount of data across the grid services. Having a central workflow engine relay the data between the services would resu＇lts in a bottleneck in these cases. This paper proposes a data exchange model for individual grid workflow and multiworkflows composition respectively. The model enables direct communication for large amounts of data between two grid services. To enable data to exchange among multiple workflows, the bridge data service is used.

Application of Big Data Technology in Evaluation of Operating Status of High-pressure Hydrogenation Heat Exchanger

The high-pressure hydrogenation heat exchanger is an impoltmlt equipment of the refinery, but it is exposed tothe problem of leakage caused by ammonium salt corrosion. Therefore, it is very important to evaluate the operating statusof flae hydrogenation heat exchanger. To improve flae method for evaluating the operating status of hydrogenation heat ex-chmagers by using flae traditional method, flais paper proposes a new method for evaluating the operation of hydrogenationheat exchangers based on big data. To address flae noisy data common in flae industry, this paper proposes an automatednoisy interval detection algorithm. To deal with flae problem that the sensor parameters have voluminous and mtrelateddimensions, flais paper proposes a key parameter detection algorithm based on flae Pearson correlation coefficient. Finally,this paper presents a system-based health scoring algorithm based on PCA （Principal Component Analysis） to assist site op-erators in assessing the healfla of hydrogenation heat exchangers. The evaluation of flae operating status of flae hydrorefiningheat exchange device based on big data technology will help the operators to more accurately grasp the status of flae indus-trial system mad have positive guiding significance for the early warning offlae failure.

Key technology of ship product data exchange based on STEP

In this paper, in order to implement the share and exchange of the ship product data, a new kind of global function model is established. By researching on the development and trend of the application of ship STEP (standard for the exchange of product model data) standards, the AIM (application interpreted model) of AP216 is developed and improved as an example, aiming at the characteristics and practical engineering of ship industry in our country. The data exchange interfaces are formed based on STEP in the CAD/CAM for the ship by all function modules and shared databases under the global function model. The share and exchange of all information and data are solved in the design, manufacture and all life-cycle of ship products among different computer application systems. The research work makes foundation for the ship industry informatization.

Designing and Implementing an Advanced Big Data Governance Platform

Contemporary mainstream big data governance platforms are built atop the big data ecosystem components,offering a one-stop development and analysis governance platform for the collection,transmission,storage,cleansing,transformation,querying and analysis,data development,publishing,and subscription,sharing and exchange,management,and services of massive data.These platforms serve various role members who have internal and external data needs.However,in the era of big data,the rapid update and iteration of big data technologies,the diversification of data businesses,and the exponential growth of data present more challenges and uncertainties to the construction of big data governance platforms.This paper discusses how to effectively build a data governance platform under the big data system from the perspectives of functional architecture,logical architecture,data architecture,and functional design.

JSON-ASR:A lightweight data storage and exchange format for automatic systematic reviews of TCM

Objectives:The aim of this study was to investigate and develop a data storage and exchange format for the process of automatic systematic reviews(ASR)of traditional Chinese medicine(TCM).Methods:A lightweight and commonly used data format,namely,JavaScript Object Notation(JSON),was introduced in this study.We designed a fully described data structure to collect TCM clinical trial information based on the JSON syntax.Results:A smart and powerful data format,JSON-ASR,was developed.JSON-ASR uses a plain-text data format in the form of key/value pairs and consists of six sections and more than 80 preset pairs.JSON-ASR adopts extensible structured arrays to support the situations of multi-groups and multi-outcomes.Conclusion:JSON-ASR has the characteristics of light weight,flexibility,and good scalability,which is suitable for the complex data of clinical evidence.

To Overcome the Obstacle of Data Exchange to Increase the Utilization Efficiency of Accounting Data

On Nov.4^(th), AQSIQ (General Administration of Quality Supervision,Inspection and Quarantine of the People' s Republic of China), SAC (Standardization Administrationof China), National Audit Office of China (CNAO), and National Ministry of Finance of China jointlyheld the conference press on the national standard of Information Technology--Data Interface ofAccounting Software (GB/T 19581-2004) in Beijing. The standard was approved and issued on Sept. 20,2004 by AQSIQ and SAC, and it would come into effect all over the whole nation from January 1^(st),2005. Pu Changcheng, Vice Director of AQSIQ, Shi Aizhong, Vice Director of CNAO, Li Zhonghai. amember of the Party Group of AQSIQ and Director of SAC, the other leaders of concerned departmentssuch as National Ministry of Finance, National Telegraphy Office, and etc. attended the ConferencePress and made speeches. They fully affirmed the important significance and the achievements onstandardization work of electronic government business, and also they set new demands on the workfor the future.

Reflections on Applications of International Standards for Financial Data Exchange in China Securities and Futures Markets

1.1. Development of international data exchange standards in securities field Securities market involves a large number of participants, like investors, securities companies, exchanges, clearingcorporations and so on. Businesses among the participants are completed via data exchange. Therefore, the data exchange protocols serve an important factor to determine and promote the sate and rapid development of the securities market.

Multi-Factor Password-Authenticated Key Exchange via Pythia PRF Service

Multi-factor authentication(MFA)was proposed by Pointcheval et al.[Pointcheval and Zimmer(2008)]to improve the security of single-factor(and two-factor)authentication.As the backbone of multi-factor authentication,biometric data are widely observed.Especially,how to keep the privacy of biometric at the password database without impairing efficiency is still an open question.Using the vulnerability of encryption(or hash)algorithms,the attacker can still launch offline brute-force attacks on encrypted(or hashed)biometric data.To address the potential risk of biometric disclosure at the password database,in this paper,we propose a novel efficient and secure MFA key exchange(later denoted as MFAKE)protocol leveraging the Pythia PRF service and password-to-random(or PTR)protocol.Armed with the PTR protocol,a master password pwd can be translated by the user into independent pseudorandom passwords(or rwd)for each user account with the help of device(e.g.,smart phone).Meanwhile,using the Pythia PRF service,the password database can avoid leakage of the local user’s password and biometric data.This is the first paper to achieve the password and biometric harden service simultaneously using the PTR protocol and Pythia PRF.

Blockchain-Based Secure and Fair IoT Data Trading System with Bilateral Authorization

These days,data is regarded as a valuable asset in the era of the data economy,which demands a trading platform for buying and selling data.However,online data trading poses challenges in terms of security and fairness because the seller and the buyer may not fully trust each other.Therefore,in this paper,a blockchain-based secure and fair data trading system is proposed by taking advantage of the smart contract and matchmaking encryption.The proposed system enables bilateral authorization,where data trading between a seller and a buyer is accomplished only if their policies,required by each other,are satisfied simultaneously.This can be achieved by exploiting the security features of the matchmaking encryption.To guarantee non-repudiation and fairness between trading parties,the proposed system leverages a smart contract to ensure that the parties honestly carry out the data trading protocol.However,the smart contract in the proposed system does not include complex cryptographic operations for the efficiency of onchain processes.Instead,these operations are carried out by off-chain parties and their results are used as input for the on-chain procedure.The system also uses an arbitration protocol to resolve disputes based on the trading proof recorded on the blockchain.The performance of the protocol is evaluated in terms of off-chain computation overhead and on-chain gas consumption.The results of the experiments demonstrate that the proposed protocols can enable the implementation of a cost-effective data trading system.

The witching week of herding on bitcoin exchanges

This paper analyses the herding behaviour among exchanges around the expiration of bitcoin futures traded on the Chicago Mercantile Exchange(CME).The database extends from December 2017 to October 2020,taking as a reference the main exchanges that trade bitcoin(Binance,Bitfinex,Bitstamp,Coinbase,itBit,Kraken,and Gemini)and using hourly closing prices and trading volumes in bitcoin and US dollars.Adapting the proposal of Chang,Cheng and Khorana(2000)(CCK)to test conditional herding,we obtain results that indicate that the herding effect is significant during the week before expiration.After expiration,the herding effect lasts for a few hours and disappears.Information overload originating,among other causes,from sophisticated investors’strategies may generate this mimetic behaviour.The results show the relevance of intraday data applied to specific events such as expiration since the unconditional analysis shows,in general,anti-herding behaviour throughout the period of study.

Testing for Nonlinearity in Five Emerging Markets' Exchange Rates

Unlike the Brock,Dechert,and Scheinkman(BDS)test,the Surrogate Data method is not only able to provide a nonlinearity test for exchange rates,but also distinguish whether the nonlinear features come from the economic system itself.Our analysis gives some evidence on the presence of nonlinear dependency of five emerging markets' exchange rates by using BDS test.Furthermore,we present evidence in existence of intrinsic and deterministic nonlinearity in the five exchange rates using the Surrogate Data method,comparing the original data and surrogate data and rejecting the null hypothesis in confidence coefficient 95%.The results provide the basis for the analyses of the chaotic properties of exchange rate time series and their future nonlinear forecasting.

Prediction of the Bombay Stock Exchange (BSE) Market Returns Using Artificial Neural Network and Genetic Algorithm

Stock Market is the market for security where organized issuance and trading of Stocks take place either through exchange or over the counter in electronic or physical form. It plays an important role in canalizing capital from the investors to the business houses, which consequently leads to the availability of funds for business expansion. In this paper, we investigate to predict the daily excess returns of Bombay Stock Exchange (BSE) indices over the respective Treasury bill rate returns. Initially, we prove that the excess return time series do not fluctuate randomly. We are applying the prediction models of Autoregressive feed forward Artificial Neural Networks (ANN) to predict the excess return time series using lagged value. For the Artificial Neural Networks model using a Genetic Algorithm is constructed to choose the optimal topology. This paper examines the feasibility of the prediction task and provides evidence that the markets are not fluctuating randomly and finally, to apply the most suitable prediction model and measure their efficiency.

Relation Between Relative Efficiencies and Brand Values of Global Turkish Banks Trading on Istanbul Stock Exchange

The global competition in banking sector, global capital flows, and proliferation of financial markets have been forcing banks to utilize their resources in an efficient way and use various methods to determine and increase their performances against the competitors. Within this context, the relative efficiency measurement and statistical （parametric） efficiency measurements that employ （non-parametric） mathematical programming based on Data Envelopment Analysis （DEA） method are such instruments and they are used to determine brand value and financial performance that are pivotal factors in company mergers, acquisitions, and joint venture activities. This study works with Turkish banks whose brand values have been calculated by Brand Finance and whose brand values have been listed in Global Banking 500 for the years between 2010 and 2012. Firstly, using the banks＇ data published by Public Disclosure Platform （PDP/KAP）, a non-parametric model with three inputs and four outputs has been developed. Relative and super efficiencies of the banks have been measured by mathematical programming based DEA and the efficiency scores that come out of this analysis have been ranked, resulting in an ＂efficiency ranking of the banks＂. Following this, the efficiency ranking of these banks has been compared with brand value ranking of Brand Finance and their similarity/correspondence has been assessed.

Detecting the nested determinants of the Australian Dollar-U.S.Dollar exchange rate regime and simulating its behaviour

This paper aims to detect the underlying regime behind the historical data of the Australian Dollar-U.S.Dollar exchange rate and potential influential factors.Based on academic research and empirical analysis,a series of statistical analysis are carried out to capture the significant factors and their channels through which they could exert effects upon the dynamic behaviour of the exchange rate.

Study on Digital Exchange Platform of University Information Resources

Digital exchange platform is a comprehensive service platform. In this paper, the construction scheme of the platform is proposed. By constructing the data exchange platform, a people-oriented information environment was built to meet demands of faculty, staff and students on information resources. And thus a digital campus was constructed to provide efficient online services and information resources. The experimental results show that the platform is user-friendly, runs orderly, integrates the service, and provides a good reference value for the data integration of enterprises and universities in the future.

换热翅片几何量数字化测量技术研究及在智能制造中的应用

为解决换热翅片开窗角度的数字化测量问题,研究了面向换热器智能制造产线的翅片几何量参数测量装置。该装置采用激光轮廓传感器进行非接触测量,对获取的多组原始轮廓数据进行数据剔除和取均值预处理,将处理后的数据逐点求导以识别兴趣测量区域,在各兴趣测量区域采用定长逐点步进的方式进行最小二乘拟合运算,选取最优拟合线段进行夹角计算,可自动实现对翅片8个开窗角度及3个长度参数的测量,设计了基于JSON的数据交互格式实现与制造执行系统的数据对接。实验结果表明:装置角度测量最大允许误差(MPE)为±0.5°,具备数字化测量及数据交互能力,测量精度满足企业质控需求。