Architecture Design Of Platform Research Articles

Design of Management Platform Architecture and Key Algorithm for Massive Monitoring Big Data

With the construction and development of industrial informatization, industrial big data has become a trend within the smart industry. To obtain valuable information on massive data, achieving the acquisition, storage, analysis, and mining is becoming an important area of research. Focusing on the application requirements for industrial fields, we propose a data acquisition and analysis system based on the NB‐IoT for industrial applications. The system is an integrated system that includes sensor data acquisition, data transmission, data storage, and analysis mining. In this study, we mainly focused on the use of the NB‐IoT network to collect and transmit real‐time data for sensors. First, for the long time series (e.g., if we collect the data streams for one year for the sensor with a frequency of 1 Hz, the length of the series will reach 107). Then, we propose DSCS‐LTS, a distributed storage and calculation model, and CCCA‐LTS, an algorithm for the correlation coefficient of long time series in a distributed environment. Third, we propose a granularity selection algorithm and query process logic for visualization. We tested the platform in our laboratory and an automated production line for one year, and the experimental results using real data sets show that our approach is effective and scalable, can achieve efficient data management, and provide the basis for intelligent enterprise decision‐making.

Virtual vs physical platform: organizational capacity and slack, strategic decision and firm performance

PurposeThis study aims to examine the relationship between organizational capacity, slack resource, platform strategic choice and firm performance. It also tackles the endogenous issues regarding the strategic choice of platform types.Design/methodology/approachThis study uses Heckman’s two-stage procedures to examine the relationship between the variables. The sample in this study comes from Compustat annual company and segment files. The sample used in the main analysis consists of 252 individual corporations globally and 3,528 firm-year observations from 2004–2017.FindingsThe empirical results suggest that: (1) firms are more likely to develop physical platforms than virtual platforms when they possess higher levels of available slack, potential slack, research and development (R&D) capacity and marketing capacity; (2) in general, firms developing physical platforms perform better than firms developing virtual platforms after the endogeneity bias are controlled; and (3) firms that choose to develop physical platforms perform better than if they had chosen to develop virtual platforms.Research limitations/implicationsThis study contributes to the platform research literature by proposing the endogenous role of platform type choice in firm performance in the context of the retail industry. Prior conceptual and theoretical platform studies have seldom focused on the retail industry through a strategic choice perspective. Furthermore, one of the contributions of this study is the derivation of empirical support for the research’s prediction using data from actual firms carried out by global physical and virtual platform companies. This study also presents many opportunities for further explorations on the relationship between firm strategic choice and firm performance in the context of platform retail industry.Practical implicationsThe findings of this study suggest that firms must realize that their performance is not necessarily affected by these platform type choice determinants in terms of potential slack, available slack, R&D capacity and marketing capacity. By contrast, they should pay more attention to developing physical platforms if it is possible. The study findings indicate that although virtual platforms have grown rapidly because of the development of technology, firm performance is at all times superior when firms choose to develop physical platforms.Originality/valuePrior platform studies have focused on the topic of network structure, platform architecture, pricing strategy, platform leadership and platform design and governance within the context of video game industry, software industry, hardware industry and telecommunications industry. Seldom of them focus on other industries through a strategic choice perspective. Furthermore, one of the contributions of this study is the derivation of empirical support for the research’s prediction using data from actual firms carried out by global physical and virtual platform companies.

Architecture Design of Resource Support System for the Rail-Water Intermodal Transportation Cloud Platform

Due to the unbalanced development of intermodal information development in different regions of China, the rigid structure of resource system and the low degree of information sharing, the development of intermodal transportation informationization is restricted to a large extent. According to the architecture design of the rail-water intermodal transportation cloud platform, this paper reconstructs the traditional IaaS and PaaS architectures, and establishes a multi-area redundant architecture, so that these virtual resources can form an organic whole in the cloud and interact with the intermodal organizations. At the same time, the direct coupling between the hardware infrastructure and software of the “chimneys” system architecture are eliminated by using the layered structure based on the virtualization technology. The resource support system can reduce the use cost of information, strengthen the management efficiency of software and hardware resources of cloud platform and a large number of heterogeneous business applications.

RESEARCH ON CONSTRUCTION OF SPATIO-TEMPORAL DATA VISUALIZATION PLATFORM FOR GIS AND BIM FUSION

Abstract. The visualization model of GIS and BIM fusion can provide data bearing platform and main technical support for future urban operation centers, digital twin cities, and smart cities. Based on the analysis of the features and advantages of GIS and BIM Fusion, this paper proposes a construction method of the spatio-temporal data visualization platform for GIS and BIM Fusion. It expounds and analyzes the overall architecture design of platform, multi-dimensional and multi-spatial scales visualization, space analysis for GIS and BIM fusion, and platform applications and so on. The urban virtual simulation spatio-temporal data platform project of Teda New District in Tianjin has verified and demonstrated that the effect of application is good. This provides a feasible solution for the construction of spatio-temporal Data Visualization Platform.

Optimizing and Satisficing: The Interplay Between Platform Architecture and Producers' Design Strategies for Platform Performance

Optimizing and Satisficing: The Interplay Between Platform Architecture and Producers' Design Strategies for Platform Performance

Digital platform architecture design based on JavaEE

With the comprehensive popularization of electronic technology and the internet, more and more people prefer to use smart phones, tablets and other intelligent terminal devices to read digital information on apps or Web pages, which makes the traditional publishing industry to transform to digital service. Based on the platform of JavaEE, this project provides architecture design for the transformation of rail transit publishing house to digital publishing service, integrates the traditional publishing industry resource base, and brings great help to the utilization, optimization and management of knowledge resource base.

Metaphactory: A platform for knowledge graph management

In this system paper we describe metaphactory, a platform for building knowledge graph applications. The metaphactory platform aims at supporting different categories of knowledge graph users within the organization by realizing relevant services for knowledge graph data management tasks, providing a rich and customizable user interface, and enabling rapid building of use case-specific applications. The paper discusses how the platform architecture design built on open standards enables its reusability in various application domains and use cases as well as facilitates integration of the knowledge graph with other parts of the organizational data and software infrastructure. We highlight the capabilities of the platform by describing its usage in four different knowledge graph application domains and share the lessons learnt from the practical experience of building knowledge graph applications in the enterprise context.

RETRACTED ARTICLE: Analysis of coordination mechanism of supply chain management information system from the perspective of block chain

Block chain technology can save a lot of intermediary cost by means of decentralized distributed structure, and can solve the problem of data tracking and information security by means of unauthorized timestamp. The security trust mechanism can solve the core defects of the current Internet of Things technology. The flexible programmable characteristics can standardize the existing market order, help to enhance and create trust, and change the mode of cooperation and business cooperation between people. By setting up scenario application mode based on block chain, such as block chain credit financing, block chain procurement financing, etc., we can achieve the goal of shortening the time of supply chain management, improving the quality and meeting the demand. In this paper, the process of supply chain management information system and the key technology of block chain are analysed, and the collaborative mechanism of supply chain management information system from the perspective of block chain is proposed, including the process and consensus collaborative management mechanism, which optimizes the transaction process management and block chain system consensus, accounting and so on. On this basis, the supply chain management information system platform architecture under the collaborative mechanism is designed, which provides a reference path for the performance improvement and platform architecture design of data transaction system based on block chain.

A study on 3D safety state information platform architecture design for realistic disaster management based on spatial information

A study on 3D safety state information platform architecture design for realistic disaster management based on spatial information

Design and Implementation of 3U CubeSat Platform Architecture

This paper describes the main concept and development of a standard platform architecture of 3U Cube Satellite, whose design and performance were implemented and verified through the development of KAUSAT-5 3U CubeSat. The 3U standard platform is built in 1.5U size and developed as a modular concept to add and expand payloads and attitude control actuators to meet the user’s needs. In the case of the electrical power system, the solar panel, the battery, and the deployment mechanism are designed to be configured by the user. Mechanical system design maximizes the electrical capability to accommodate various payloads and to integrate and miniaturize EEE (Electrical, Electronic, and Electromechanical) parts and subsystem functions/performance into limited-size PCBs. The performance of KAUSAT-5 adopting standard platform was verified by mounting the VSCMG (Variable Speed Control Moment Gyro), which is one payload for technical demonstration, at the bottom of the platform and the infrared (IR) camera, which is the other payload for science mission, on the top. The 3U CubeSat equipped with the electronic optical camera is under development implementing the standard platform to reduce development cost and schedule by minimizing additional verification.

An Emotion Aware Task Automation Architecture Based on Semantic Technologies for Smart Offices.

The evolution of the Internet of Things leads to new opportunities for the contemporary notion of smart offices, where employees can benefit from automation to maximize their productivity and performance. However, although extensive research has been dedicated to analyze the impact of workers’ emotions on their job performance, there is still a lack of pervasive environments that take into account emotional behaviour. In addition, integrating new components in smart environments is not straightforward. To face these challenges, this article proposes an architecture for emotion aware automation platforms based on semantic event-driven rules to automate the adaptation of the workplace to the employee’s needs. The main contributions of this paper are: (i) the design of an emotion aware automation platform architecture for smart offices; (ii) the semantic modelling of the system; and (iii) the implementation and evaluation of the proposed architecture in a real scenario.

Design of batch audio/video conversion platform based on JavaEE

With the rapid development of digital publishing industry, the direction of audio / video publishing shows the diversity of coding standards for audio and video files, massive data and other significant features. Faced with massive and diverse data, how to quickly and efficiently convert to a unified code format has brought great difficulties to the digital publishing organization. In view of this demand and present situation in this paper, basing on the development architecture of Sptring+SpringMVC+Mybatis, and combined with the open source FFMPEG format conversion tool, a distributed online audio and video format conversion platform with a B/S structure is proposed. Based on the Java language, the key technologies and strategies designed in the design of platform architecture are analyzed emphatically in this paper, designing and developing a efficient audio and video format conversion system, which is composed of “Front display system”, "core scheduling server " and " conversion server ". The test results show that, compared with the ordinary audio and video conversion scheme, the use of batch audio and video format conversion platform can effectively improve the conversion efficiency of audio and video files, and reduce the complexity of the work. Practice has proved that the key technology discussed in this paper can be applied in the field of large batch file processing, and has certain practical application value.

에너지 IoT 플랫폼 개발에 관한 연구

사물인터넷(IoT, Internet of Things) 분야는 풍부한 정보를 기반으로 사용자가 쉽게 접근해서 서비스를 창출해야 하나, 전력시스템의 특수성으로 인해 다음의 사항이 IoT 확산에 걸림돌로 작용할 수 있으며 '지능형 전력망 정보의 보호 조치에 관한 지침'에 의거, 전력설비 접근이 용이하지 않고, 특히 AMI(Advanced Metering Infrastructure)분야에 IoT 기술적용시 엄격한 보안 정책이 요구되고 있다. 이로 인해 IoT 기술의 전력시스템에 적용 및 활용에 제약이 발생되는 실정이다. 전력정보통신망은 그간 폐쇄망으로 운영되어 왔으며, 스마트그리드(Smart Grid) 인프라인 지능형 전력망에서도 개방형 양방향 통신을 검토하고 있으나 정보보안 취약성이 높아지고 사고 위험이 증가함에 따라 종합적인 보안정책 및 기술이 요구되고 있다. 본 논문은 IoT 기반 에너지 플랫폼 개발 연구내용의 일부로 전력정보시스템의 IoT 플랫폼 아키텍쳐 설계를 목표로 한다. IoT를 기반으로 전력서비스 및 솔루션을 제공하기 위해 '센서-게이트웨이-네트워크-플랫폼-서비스'를 하나로 연결하는 표준 프레임워크를 제정하고자 한다. 프레임워크는 크게 '센서-게이트웨이-플랫폼'을 연계하는 정보모델링 및 연동규약을 다루는 표준과 이를 토대로 다양한 센서를 수용할 수 있는 게이트웨이, 실시간 데이터 수집 분석 제공 역할을 수행하는 플랫폼으로 구분하고 관련 기술을 확보하고자 한다. IoT(Internet of Things areas) rich information based on the user easy access to service creation must be one of the power system of specificity due following: The IoT spread obstacle to the act be, and 'Smart Grid information of this is not easy under power plants approach the Directive on the protection measures, particularly when stringent security policies IoT technologies applied to Advanced Metering Infrastructure sector has been desired. This is a situation that occurs is limited to the application and use of IoT technologies in the power system. Power Information Network is whilst closed network operating is has a smart grid infrastructure, smart grid in an open two-way communication for review and although information security vulnerabilities increased risk of accidents increases as according to comprehensive security policies and technologies are required and can. In this paper, the IoT platform architecture design of information systems as part of the power of research and development IoT-based energy information platform aims. And to establish a standard framework for a connection to one 'Sensor-Gateway-Network-platform sensors Service' to provide power based on the IoT services and solutions. Framework is divided into "sensor-gateway" platform to link information modeling and gateways that can accommodate the interlocking standards and handling protocols variety of sensors Based on this real-time data collection, analysis and delivery platform that performs the role of the relevant and to secure technology.

Research on Micro-lesson Resource Service Platform and Resources Scheduling Model

In order to meet the need of rapid growth of the micro-class resources, it is urgently need to provide a highly reliable and cost-effective hosting platform. The architecture design of micro-lesson resource service platform based on PaaS pattern and the microlesson resource scheduling model based on MapReduce are given in this paper. Comparative experiment results show that, the three indicators of average response time, average load rate of server, and standard deviation of server load rate are better than that of traditional server clustering and OpenStack resource scheduling algorithm.

The design of remote participation platform for EAST plasma control

EAST has become a physics experimental platform for high parameter and steady-state long-pulse plasma operation. A new remote participation platform for EAST plasma control is designed, which is composed of gatekeeper system, web-based user interface system, discharge scenario management system, online simulation system and data interface with on-site plasma control system (PCS). The identification and access privilege of remote participator is validated by the gatekeeper system. Only authorized users can set control parameters for next shot plasma control or making discharge scenario for future shot through WebPCS which is a web-based user interface and designed based on B/S structure. The systematic architecture design and preliminary deployment of such remote platform will be presented in this paper.

Architecture Design of Urban Passenger Transport Industry Regulation System Platform Based on Internet of Things Technology

With the rapid development of IOT(Internet of things) technology, this paper discussed the new mode of construction and development of urban passenger transport Industry administration system in order to improve the Information monitoring capability and service level. For the problems existing in urban passenger transport Industry administration, this paper analyzed the application result of IOT technology from accuracy, stability, comprehensive, coordinated, and economy, and gave the basic idea, advantages, disadvantages, and limitations of typical IOT technology routes. The results showed that compared with the traditional way, IOT technology had obvious advantages, and had wide applicability on urban passenger transport Industry administration domain.Based on the analysis of business requirements and comparisons among typical IOT technology routes, this paper combined the IOT technology with urban passenger transport Industry administration, and finally proposed the design architecture of urban passenger transport Industry administration system based on IOT technology.

The Smart Health Initiative in China: The Case of Wuhan, Hubei Province.

To introduce smart health in Wuhan, and provide some references for other cities. As the largest mega-city in central China, Wuhan is investing large amounts of resources to push forward the development of Smart Wuhan and Health Wuhan, and it has unique features. It is one of the centerpieces of China's New Healthcare Reform, and great hope is put on it to help solve the conflict between limited healthcare resources and the large population of patients. How to plan and design smart health is important. The construction of Wuhan Smart Health includes some aspects as follows, like requirement analysis, the establishment of objectives and blueprint, the architecture design of regional health information platform, evaluation and implementation, problems and solutions, and so on. Wuhan Smart Health has obtained some achievements in health network, information systems, resident's health records, information standard, and the first phase of municipal health information platform. The focus of this article is the whole construction process of smart health in Wuhan. Although there are some difficulties during this period, some smart health services and management have been reflected. Compared with other cities or countries, Wuhan Smart Health has its own advantages and disadvantages. This study aims to provide a reference for other cities. Because smart health of Wuhan is characteristic in construction mode. Though still in the initial stage, it has great potentials in the future.

A systematic adaptable platform architecture design methodology for early product development

ABSTRACTAdaptable product platforms, which express a platform's modular and scalable combinations, are well suited for representing the complex mechanical composition of series products. Current adaptable platform design methods, however, still have certain limitations, such as an insufficient basis for functional modules classification, unstable classified results due to experience-based thresholds, and limited scope because of a reliance on performance mathematical models. Given the hierarchical model of adaptable platform architecture, a two-stage methodology for adaptable platform design based on quantitative indices and fuzzy arithmetic is proposed in this paper. In the first stage, the variety index and change propagation class are applied to cluster the acquired modules into standardised and flexible ones using visualised fuzzy clustering. In the second stage, common and scalable indices based on product lifecycle factors are developed in order to subdivide the components within flexible modules into common and scalable types. Trapezoidal fuzzy arithmetic is introduced in these two stages to deal with the imprecise, approximate, or qualitative linguistic assessments. The proposed approach is demonstrated using the concrete spaying machine family as an exemplary product. Sensitivity analysis showed that the results were robust for the disturbance of design variables. Comparisons with other studies’ results point to a higher stability, lower requirements for basic data, and a general effectiveness of the proposed method.

The near Infrared Spectroscopy Information and Technology Group of the Ocean University of China

T he Ocean University of China is a comprehensive university with a long history. Its curricula are focused on the marine and aquatic sciences and it is located in the beautiful seashore city of Qingdao, China (Figure 1). The Information Engineering Centre of the Ocean University of China (OUC) is an important research institute which was established in 1992. Research interests of the Centre are mainly on application technology and engineering such as rapid quality determination, development of cloud computing platforms and internet products for medicine and health. It contains four laboratories which are responsible for the development of software technology, computer-aided design (CAD), Intelligent Technology and Application Service Providers (ASPs). During recent years, partnerships have been established between our institute and various industries, e.g. Haier, Hisense, Tsingtao Beer, CETC and China Tobacco. Using neural networks, the Intelligent Technology Group began research in 1998 on analytical methods to evaluate the relationship between chemical components and product quality. After Dr Ning Yang took over the leadership of the institute, we gradually began to work on CAD systems for industrial formulations. Since then, this group has filed a number of patents in intelligent data analysis. In the past five years, because of the demands for rapid product quality inspection demanded by industry, this group has been focused on the development of near infrared (NIR) reflectance spectroscopic applications. The first application studied involved determination of the influential factors in NIR modelling techniques and NIR model performance; this was followed by research on NIR network management and control platforms. Nowadays, the group consists of the following staff (Figure 2): ■ A chief research senior in NIR network platform architecture design: Dr Ning Yang. ■ An international NIR spectral analysis expert: consultant: Dr Wei G. Hansen. ■ Two experts in chemical analysis and application technology: Mr XieZhong Xiao, Mrs JiLing Zhong, research senior. ■ Four experts in NIR modelling methods and data analysis algorithms: Dr Huili Gong and Dr Ying He, Dr YuHua Qing, Mr Lei Zhang. ■ Six computer system development experts: Dr Ting Liu, Dr Shuo Shi, Dr YuZhong Ding, Dr Dianhu Chen, Mr GuoQiang Liu and Mr XueTao Yu. This group carries out basic and applied research on NIR, and we would like to highlight the following achievements of the group.

THE EXPERIENCE OF THE FIRST INDUSTRIAL SYMBIOSIS PLATFORM IN ITALY

This paper reports the activity, promoted by the Italian agency for new technologies, energy and sustainable economic development (ENEA), in the framework of the project for the development and implementation of the first Italian Platform for Industrial Symbiosis implemented in Sicily (2011-2015). The goals of the project were: to provide a methodology and an instrument for industrial symbiosis implementation at regional scale, to implement a IS Platform as a support to SMEs to individuate symbiosis opportunities in the region. The whole approach includes: network activation, platform architecture design and implementation, analysis of the productive sector in Sicily, data collection and companies involvement. In particular the paper focuses on the activities developed for companies’ network creation trough a preliminary analysis of the predominant productive sectors followed by the organization of operative meetings in Sicily for companies’ involvement, analysis of potential synergies and resources sharing, and finally platform population. During the first two meetings more than 80 SME were linked giving rise to almost 400 output resources and almost 180 input resources. More than 690 potential matches were found between the participating enterprises showing interesting opportunities both for substituting resources with waste products in real and virtual cases and for sharing waste management services and infrastructures. The discussion occurred during the meeting has remarked the significance and the consequences of the regulatory and control system on IS application, underlining the necessary participation of local stakeholders and control authorities. It has also emerged the need to identify predominant productive activities in well-defined territorial contexts where to investigate the specific/local tangles taking into account legislative and technical-economic feasibility. Technical dossiers on three main resource streams (wastes from processing stone materials; plastics and agro-industrial wastes), which may generate the more interesting potential synergies, are being processed. These dossiers include European, Italian and regional regulations, guidelines, technical standards, logistic and economical aspects useful for supporting companies in synergies implementation. Results of this activity will also be used to improve the algorithm in the platform to find synergies.