Technical Architecture Research Articles

Development and Implementation of Java Game Engine Based on Network Information Technology

With the development of computer technology and network technology, various digital learning methods have seriously impacted the traditional education and teaching mode, among which gameplay learning represented by teaching games has attracted wide attention of educators. It is considered to be the most effective way to stimulate learners’ learning motivation. Mobile game is an important part of mobile phone value-added service. The research of mobile game engine has extremely important application value for the development of mobile phone game. This paper mainly studies how to realize a high-performance mobile game engine. Through the analysis of mobile phone operating system, mobile game market, mobile phone game user needs, the technology selection and main function modules of the engine are determined. Through the research of java technology, the technical architecture of engine server and client is determined. Performance and algorithm optimization are the focus of this paper, because performance issues are the biggest bottleneck in developing games on java phones.

A smart learning ecosystem design for delivering Data-driven Thinking in STEM education

This paper proposes an Internet of Things device (IoT)-based ecosystem that can be leveraged to provide children and adolescent students with STEM educational activities. Our framework is general and scalable, covering multi-stakeholder partnerships, learning outcomes, educational program design and technical architecture. We highlight the importance of bringing Data-driven Thinking to the core of the learning environment as it leads to collaborative learning experience and the development of specific STEM skills such as problem-finding and solving, cognitive, analytical thinking, spatial skills, mental manipulation of objects, organization, leadership, management, and so on. A successful case study in Singapore involving tens of thousands of students is presented.

Brief Study of Comparison of Zend and Laravel PHP

The explosive growth of information systems today offers many interesting technology solutions on the market. However, the technology may be adopted without considering the impact on existing information systems and user expectations. We encourage you to identify and implement the technology solution that best suits your information system strategy. As a result, new methods have emerged and design tools are still evolving. The PHP framework as part of it opens up new perspectives in enhancing information systems . In this regard, this article focuses on a comparative study between the most popular PHP frameworks, the Symphony framework, and Laravel. Therefore, it provides an efficient comparison of Zend and Larval that combines functionality , multilingual, system requirements, technical architecture, code structure, continuous integration (CI), and finally the seven dimensions of the document dimension and the learning curve. The results show that our model can help IT project developers choose the right PHP framework.

Design and Implementation of an Informatics Infrastructure for Standardized Data Acquisition, Transfer, Storage, and Export in Psychiatric Clinical Routine: Feasibility Study.

BackgroundEmpirically driven personalized diagnostic applications and treatment stratification is widely perceived as a major hallmark in psychiatry. However, databased personalized decision making requires standardized data acquisition and data access, which are currently absent in psychiatric clinical routine.ObjectiveHere, we describe the informatics infrastructure implemented at the psychiatric Münster University Hospital, which allows standardized acquisition, transfer, storage, and export of clinical data for future real-time predictive modelling in psychiatric routine.MethodsWe designed and implemented a technical architecture that includes an extension of the electronic health record (EHR) via scalable standardized data collection and data transfer between EHRs and research databases, thus allowing the pooling of EHRs and research data in a unified database and technical solutions for the visual presentation of collected data and analyses results in the EHR. The Single-source Metadata ARchitecture Transformation (SMA:T) was used as the software architecture. SMA:T is an extension of the EHR system and uses module-driven engineering to generate standardized applications and interfaces. The operational data model was used as the standard. Standardized data were entered on iPads via the Mobile Patient Survey (MoPat) and the web application Mopat@home, and the standardized transmission, processing, display, and export of data were realized via SMA:T.ResultsThe technical feasibility of the informatics infrastructure was demonstrated in the course of this study. We created 19 standardized documentation forms with 241 items. For 317 patients, 6451 instances were automatically transferred to the EHR system without errors. Moreover, 96,323 instances were automatically transferred from the EHR system to the research database for further analyses.ConclusionsIn this study, we present the successful implementation of the informatics infrastructure enabling standardized data acquisition and data access for future real-time predictive modelling in clinical routine in psychiatry. The technical solution presented here might guide similar initiatives at other sites and thus help to pave the way toward future application of predictive models in psychiatric clinical routine.

Thoughts on Construction of Information System of Medical Device Variety Archives

Thinking on the construction of the medical device type archives information system. This paper introduces the concept and significance of medical device variety archives, and puts forward the overall construction idea and system framework of medical device variety archives by analyzing its construction difficulties. Considering the long-term nature and complexity of the construction of medical device variety archives, the system can be constructed in accordance with the three steps of system building, platform building and data management, and the overall technical architecture can be designed from the eight aspects of user layer, business application layer, application support layer, data resource layer, infrastructure layer, security, standards and operation and maintenance management. Architecture design is the foundation of system construction, and its design rationality is very important for the success of system construction. The architecture design proposed in this study has a certain reference role for promoting the construction of medical device variety archives management system.

History and fundamental principle of Instrument Landing System (ILS) and technical detailed architecture of ILS transmitter and receiver

History and fundamental principle of Instrument Landing System (ILS) and technical detailed architecture of ILS transmitter and receiver

Internet governance, borders and jurisdiction in the context of crime investigation

The article focuses on the technical features of Internet operation, causing legal and forensic consequences when investigating cybercrimes. Decentralized nature and the specificity of Internet governance resulting from its technical architecture lead to difficulties in identifying the jurisdiction during cybercrime investigations. In the article, the author also analyses IT crimes’ particular features, which make them difficult to investigate, as well as some contemporary ideas on the possibility of delineating borders on the Net, the consequences of such measures, and the ways to identify jurisdiction when looking into cybercrimes. Apart from that, the article examines the Internet governance system, managing organizations as well as their hierarchy, and accountability. The technical mechanism of Internet operation is analyzed. Some factors threatening the operation are reviewed. Following the research results, the author proposes some methods to enhance international cooperation regarding cybercrime investigations and resolving jurisdictional issues. The need to increase informational and technical knowledge at all levels and to support interdepartmental cooperation is noted.

Inequalities in the Exercise and Continuity in Building Engineering in Spain. Factor Analysis Including Gender Perspective

The building sector is one of the most relevant at world level in view of the percentage of gross domestic product (GDP) concerned, as well as the number of new jobs created. Nevertheless, it is a completely male-dominated industry. Different institutions and organisms, such as the Agenda 2030 and the Sustainable Development Goals, struggle to reduce gender inequality in different environments, including the working one. Aligned with these goals, this study provides the data exploited from the first survey regarding gender inequality within the professionals of the building engineering field in the Spanish population as a whole. This survey was developed in 2018 by the Spanish General Council of Technical Architecture and it was sent to its members. The sample involved 1353 cases. For this data mining, bivariate analyses were conducted in order to subsequently carry out a factor analysis and the socio–demographic composition of the dimensions found. Results exposed statistically meaningful differences in the eyes of women and men about those factors which facilitate practice and continuity in the profession. The most relevant conclusions drawn from the factor analysis reflect the existence of three factors: (1) work competences, (2) social capital and (3) physical appearance and being a man, dimensions in which women and men’s opinion was unevenly distributed.

A functional safety assessment method for cooperative automotive architecture

The scope of automotive functions has grown from a single vehicle as an entity to multiple vehicles working together as an entity, referred to as cooperative driving. The current automotive safety standard, ISO 26262, is designed for single vehicles. With the increasing number of cooperative driving capable vehicles on the road, it is now imperative to systematically assess the functional safety of architectures of these vehicles. Many methods are proposed to assess architectures with respect to different quality attributes in the software architecture domain, but to the best of our knowledge, functional safety assessment of automotive architectures is not explored in the literature. We present a method, that leverages existing research in software architecture and safety engineering domains, to check whether the functional safety requirements for a cooperative driving scenario are fulfilled in the technical architecture of a vehicle. We apply our method on a real-life academic prototype for a cooperative driving scenario, platooning, and discuss our insights.

Advancing formative assessment in MCAD education: The visual analytics of parametric feature-based solid models

Advancing formative assessment in MCAD education is an important but difficult problem. Success in this endeavor requires feature-based MCAD model assessment to consider the quality of a model from various viewpoints. That includes the absolute criteria that are associated with technical domain knowledge and also criteria related to model deficiencies. For the latter, this entails assessing the results of wrong or inappropriately applied system commands, and of partial or entire modeling strategies. Here, an approach that combines the perceptual abilities, creativity, and domain knowledge of the human user with the computational power of current desktop computing has great potential to contribute to solving the problem. The aim of the current paper is two-fold. Firstly, it presents a novel approach to analyzing feature-based characteristics of MCAD models, an approach that is aimed at advancing formative assessment in the educational context. This approach is based on visual analytics and efforts to combine visualization, human factors, and data analytics. Secondly, it reports on the technical architecture and concrete implementation of a newly developed visualization environment for a software tool to enable and put into practice this novel MCAD model assessment approach. The development of this new visualization environment is based on an advanced visualization pipeline that employs radial visualization, while supporting dedicated user interaction techniques to facilitate analytical processes.

Literature Review on Block Chain: Technology, Principle and Development

The block chain technology enjoys a promising development prospect. As one of the most popular technologies, block chain has been heatedly studied and researched by people from all walks of life. Based on an introduction to the technical background and basic concepts of block chain, by analyzing the technical architecture and working principle of block chain, this paper systematically explains the key technologies of block chain, namely decentralization, proof of work (POW), smart contract and Ethereum, and further discusses the development of the block chain technology, 5G, the Internet of Things and the future wireless network.

Overall Design of Artificial Intelligence Applications Based on the Electric Power Big Data Platform

Electric power big data is a new cross-domain data that appears with the development of smart grid and big data technology, and it is a specific application of big data technology in modern smart grid. This article mainly introduces the overall design of artificial intelligence applications based on the electric power big data platform. This article will explain in detail the construction process of the electric power big data platform and the overall design of artificial intelligence applications. This article introduces the specific significance of power big data as the main technical department of artificial intelligence, from the main links of demand analysis, architecture design, detailed design, and system implementation to the overall process of artificial intelligence application design from demand to realization. First, the overall requirements of the system are analyzed in detail from two aspects: functional requirements and non-functional requirements, and then the business architecture, application architecture, data architecture and technical architecture of the system are designed. Taking the functional modules of the electric power big data platform as an example, the detailed design of the functions is explained from the point of view of the class diagram, sequence diagram, and data model. This paper uses a self-organizing patch antenna calculated based on the power big data platform to search for the lowest voltage standing wave ratio of 1.0068 and the corresponding return loss of 45dB. However, regarding the antenna bandwidth, the self-organizing patch antenna still has the characteristics of a traditional patch antenna with a relatively narrow working bandwidth, and the working bandwidth of 13dB is less than 12%.

Affordances-Based Brand Relations: An Inquire on Memetic Brands on Instagram

In this article, we argue that, in an era of platformization of culture, social media users tend to relate with brands through modalities that are more informed by platforms’ affordances (i.e., by the technical architecture of and participatory cultures thriving on social media platforms), rather than shared systems of values and meanings promulgated within brand communities or influencers’ fandoms. Our argument grounds on an analysis of 757,776 Instagram posts related to six global brands, through which we show how users create branded content by following and reproducing a memetic logic. Drawing on our empirical results and Limor Shifman’s theory of Internet memes, we introduce the notion of memetic brands. Memetic brands are collections of branded social media posts, which derive from a standard branded template that repeats from user to user with small compositional changes at every iteration and on top of which users attach expressions of their vernacular creativity. In the process, memetic brands vehiculate a hypersignification, that is, an implicit discourse on fluid and situational consumption. Through the concepts of affordances-based brand relations and memetic brands, the article contributes (from a theoretical and methodological point of view) to the emerging literature on platformization of culture.

Overall structure design of model management and data protection system based on STL

This paper realizes the development of STL model management and data protection system for 3D printing cloud platform. Firstly, the 3D printing cloud platform is briefly introduced, and the system requirements analysis, system technical architecture construction, system flow and system database design are completed. Then, based on ASP.NET, database and other technologies, combined with C# language, Web development is carried out. Finally, from the perspective of tourist users, registered users and background administrators, the functions of their respective modules are realized.

IResponse: An AI and IoT-Enabled Framework for Autonomous COVID-19 Pandemic Management

SARS-CoV-2, a tiny virus, is severely affecting the social, economic, and environmental sustainability of our planet, causing infections and deaths (2,674,151 deaths, as of 17 March 2021), relationship breakdowns, depression, economic downturn, riots, and much more. The lessons that have been learned from good practices by various countries include containing the virus rapidly; enforcing containment measures; growing COVID-19 testing capability; discovering cures; providing stimulus packages to the affected; easing monetary policies; developing new pandemic-related industries; support plans for controlling unemployment; and overcoming inequalities. Coordination and multi-term planning have been found to be the key among the successful national and global endeavors to fight the pandemic. The current research and practice have mainly focused on specific aspects of COVID-19 response. There is a need to automate the learning process such that we can learn from good and bad practices during pandemics and normal times. To this end, this paper proposes a technology-driven framework, iResponse, for coordinated and autonomous pandemic management, allowing pandemic-related monitoring and policy enforcement, resource planning and provisioning, and data-driven planning and decision-making. The framework consists of five modules: Monitoring and Break-the-Chain, Cure Development and Treatment, Resource Planner, Data Analytics and Decision Making, and Data Storage and Management. All modules collaborate dynamically to make coordinated and informed decisions. We provide the technical system architecture of a system based on the proposed iResponse framework along with the design details of each of its five components. The challenges related to the design of the individual modules and the whole system are discussed. We provide six case studies in the paper to elaborate on the different functionalities of the iResponse framework and how the framework can be implemented. These include a sentiment analysis case study, a case study on the recognition of human activities, and four case studies using deep learning and other data-driven methods to show how to develop sustainability-related optimal strategies for pandemic management using seven real-world datasets. A number of important findings are extracted from these case studies.

The Untapped Social Impact of Artificial Intelligence for Breast Cancer Screening in Developing Countries: A Critical Commentary of DeepMind

The Untapped Social Impact of Artificial Intelligence for Breast Cancer Screening in Developing Countries: A Critical Commentary of DeepMind

EmERGE mHealth Platform: Implementation and Technical Evaluation of a Digital Supported Pathway of Care for Medically Stable HIV.

In this article, we described a new mobile-Health (mHealth) supported clinical pathway of care for people living with medically stable HIV in terms of platform acceptability, usability and technical feasibility. The EmERGE mHealth platform was codesigned with clinicians and the community, developed using Scrum agile methodology, integrated with hospital information systems and validated in a large prospective cohort study of 2251 participants. The evaluation of this new paradigm of care was conducted using a tailored Health Technology Assessment: the Model for Assessment of Telemedicine Applications. Usability and acceptability were assessed through the System Usability Score and a Patient Reported Experience Measure. The EmERGE platform was successfully deployed across diverse care settings in five European countries and used by 2251 patients and more than 20 clinicians for up to 30 months. Results from the formal evaluation demonstrated that the EmERGE platform is feasible and acceptable, with a high level of usability (median System Usability Score (SUS) 85.0%) and very positive patient-reported experiences (94.2% would recommend to a friend). The EmERGE platform is a secure and General Data Protection Regulation (GDPR)-compliant system with a complete set of functionalities that could be easily adapted to other clinical conditions, clinical sites and health systems thanks to its modular technical architecture.

Design of Intelligent Energy Service System Based on Industrial Internet

With increasing energy consumption, the problems of extensive management and low utilization efficiency in the process of energy use have become more and more prominent. How to improve energy utilization has become an important issue. This paper designs and implements a smart energy service system based on the Industrial Internet, which can provide services for energy service providers and energy customers. This paper describes the system from the aspects of overall architecture, business architecture, technical architecture and integration architecture. Finally, the demonstration application of the system is introduced, which verifies the effectiveness and practicability of the designed system.

Research on Power Equipment System of Knowledge Graph under Electric Energy in Smart Grid

In order to realize technological innovation in the electric power field, the article uses artificial intelligence, big data analysis and mining, knowledge graphs, natural language processing and other technologies to construct Chinese professional dictionaries and knowledge graphs in the electric power field. And on this basis, the thesis puts forward the technical architecture of a comprehensive energy service support system based on the concept of “a picture of the power grid”, a spatiotemporal data management platform and a graph database query application implementation mechanism. Finally, research and design the visualization of the hierarchical organization of the data, use the association relationship between the data to organize the data into multi-topic classification and hierarchical organization, and provide a friendly interactive man-machine interface.

Research on Key Technologies of Autonomous Driving in Open-pit Mines

This article sorts out and analyzes the operation scenarios and typical applications of intelligent networked automatic driving in the open-pit mine scene, and analyzes the corresponding relationship between them. Based on this, the overall technical architecture of the open-pit mine intelligent networked autonomous driving is analyzed, and the technical attributes of the vehicle end, network and cloud platform are studied under this architecture. Finally, the trend of future technology and industry development is forecasted.