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Crowd network systems have been deemed as a promising mode of modern service industry and future economic society, and taking crowd network as the research object and exploring its operation mechanism and laws is of great significance for realizing the effective governance of the government and the rapid development of economy, avoiding social chaos and mutation. Because crowd network is a large-scale, dynamic and diversified online deep interconnection, its most results cannot be observed in real world, and it cannot be carried out in accordance with traditional way, simulation is of great importance to put forward related research. To solve above problems, this paper aims to propose a simulation architecture based on the characteristics of crowd network and to verify the feasibility of this architecture through a simulation example.

This paper adopts a data-driven architecture by deeply analyzing existing large-scale simulation architectures and proposes a novel reflective memory-based architecture for crowd network simulations. In this paper, the architecture is analyzed from three aspects: implementation framework, functional architecture and implementation architecture. The proposed architecture adopts a general structure to decouple related work in a harmonious way and gets support for reflection storage by connecting to different devices via reflection memory card. Several toolkits for system implementation are designed and connected by data-driven files (DDF), and these XML files constitute a persistent storage layer. To improve the credibility of simulations, VV&A (verification, validation and accreditation) is introduced into the architecture to verify the accuracy of simulation system executions.

Implementation framework introduces the scenes, methods and toolkits involved in the whole simulation architecture construction process. Functional architecture adopts a general structure to decouple related work in a harmonious way. In the implementation architecture, several toolkits for system implementation are designed, which are connected by DDF, and these XML files constitute a persistent storage layer. Crowd network simulations obtain the support of reflective memory by connecting the reflective memory cards on different devices and connect the interfaces of relevant simulation software to complete the corresponding function call. Meanwhile, to improve the credibility of simulations, VV&A is introduced into the architecture to verify the accuracy of simulation system executions.

This paper proposes a novel reflective memory-based architecture for crowd network simulations. Reflective memory is adopted as share memory within given simulation execution in this architecture; communication efficiency and capability have greatly improved by this share memory-based architecture. This paper adopts a data-driven architecture; the architecture mainly relies on XML files to drive the entire simulation process, and XML files have strong readability and do not need special software to read.

The purpose of this paper is to present a prototype ontology‐based application that has been developed for competency management and learning paths.

The paper provides an overview of competency management and related work in this area, a description of the competency ontology, and a functional and architectural analysis.

The paper provides information on work related to ontology‐based competency management systems, indicating an enhanced approach with a detailed analysis of system architecture and functional analysis.

The proposed application will be implemented through a .NET deployment, in Microsoft Hellas, the Greek subsidiary of the multinational IT company.

Ontologies have already been created in different scientific areas, including knowledge and competency management. However, only a few ontology‐based applications are available today within the domain of competency management. In this paper an ontology‐based application is presented has been developed for competency management and learning paths. Specifically, the paper provides an overview of competency management and related work in this area, a description of the competency ontology, and a functional and architectural analysis.

Success in manufacturing industries often depends on the ability of a firm to apply product platforms. In speeding up product development, platforms often enable companies to benefit from scale effects by reusing existing components in the development of new products. In the delivery of complex products and system (CoPS), however, platforms are frequently modified since components have to be changed within their life cycle to meet additional customer-specific engineering demands and evolving innovations in technology. In this article, it will be illustrated that intangible design elements can be used as platforms in firms that deliver CoPS. The paper aims to discuss these issues.

Through extensive fieldwork at a leading supplier of science-based lithography machinery, a modified platform concept was developed and tested that is labelled as the function-technology (FT) platform. The longitudinal data, collected on site, demonstrate positive effects of applying FT platforms.

The results show that an important explanation for firm's success in delivering lithography machinery with attractive performance is their ability to deliver variants that are specific in terms of physical modules, but common in terms of functions and technologies. Based on the results, it can be argued that establishing an FT platform will allow the efficient creation of variants within a family of CoPS.

The findings add considerable insight to the existing literature on operations management by explaining how intangible design elements, instigated during development, can be reused in the delivery of CoPS. Moreover, it enables development managers to more easily structure and reuse complex development tasks.

An adaptable, integrated full glass cockpit and flight management system has been developed and is in production for application in multiple Sikorsky rotorcraft. The entire system was conceived, designed, tested and delivered in an unusually short time period. A systematic process was used to define the avionics system attributes, major capabilities, and cost targets up‐front and track them during the development program. First flight was achieved 12 months after contract start, and production deliveries commenced 5 months after first flight. The integrated glass cockpit has accumulated more than 9,000 flight hours in customer operations to date. This flexible system architecture allowed the team of Sikorsky and Rockwell Collins to reuse several blocks of existing military and civil application software, and to interface the various Avionics subsystems using industry standards. This proved to be a critical factor in allowing us to meet the compressed design and development schedule.

Technology for training military teams has evolved through a convergence of advances in simulation technology for individual and collective training, methods for analyzing teamwork and designing training solutions, and intelligent tutoring technologies that adapt training to the student, to accelerate learning. A number of factors have slowed this evolution toward intelligent team tutoring systems (ITTS), including the challenges of processing communications data, which are the currency of teamwork, and the paucity of automated and generalizable measures of team work. Several systems fulfill a subset of the features required of an ITTS, namely the use of team training objectives, teamwork models, measures of teamwork, diagnostic capability, instructional strategies, and adaptation of training to team needs. We describe these systems: the Advanced Embedded Training System (AETS), Synthetic Cognition for Operational Team Training (SCOTT), the AWO Trainer, the Benchmarked Experiential System for Training (BEST), and the Cross-Platform Mission Visualization Tool. We close this chapter with recommendations for future research.

Wind energy has become a distinguished field of energy among the alternative energy resources. Despite economical disadvantages, the production of wind energy is desired to fulfill the demand of the energy. Low reliability is a big issue in the development of wind energy technology that has affected wind farm operations. The purpose of the study is to find the reason for the low reliability and high downtime for wind turbines.

The systems engineering approach has a high success rate in handling complex systems such as wind farms. A failure finding model is presented based on the systems engineering, with the focus to analyze the failures at the interfaces. The required data have been collected by reviewing the literature.

Gear box interfaces are a vital reason for the higher downtime and frequent failures of wind turbines, and the bearing and the lubricant in the gear box are affected because of their inappropriate combination.

The reliability and the maintainability of the wind turbine is a topic of major importance. The study is an attempt to contribute to a more sophisticated solution to the reliability problem of the wind turbine. Moreover, it shows the importance of interfaces in designing the complex systems.

This paper aims to discuss the Silver and Golden ticket exploits that usually exists in the existing systems. To overcome these challenges, the data is first encrypted and then the ticket is granted to the validated user. The users are validated using the user privileges. The security levels of the proposed model are compared with the existing models and provide a better performance using the Key Distribution Centre (KDC). The number of authentication and authorization levels present in the existing and proposed model is also evaluated.

The methodology designed in this paper is discussed in this section. The existing models are designed in such a way that the client ID first asked to send an authorization request to the Authentication Server. The server looks up the user in its database and then sends back a ticket generated by it to the client to obtain services for the Service center. Numerous models have some additional features to these systems where the theme of KDC was introduced. The Key Distribution Centre (KDC), which is a set of nodes in a network where the data could be distributed and stored, such that any kind of attack on a single KDC will not impact other KDC and the data stored in it. The nodes other than the KDC in the network are termed as the slave nodes. The slave nodes communicate with each other within the network depending on the topology of the entire network. In this paper, the authors have used the Kerberos protocol for adding more security functions in the entire network. The system developed consists of a client, server and a set of nodes connected to each other in a ring fashion.

The proposed model provides security to the information being used by making use of the Kerberos protocol. Additional features and algorithms such as the use of the ticket-granting approach have been added at the protocol to make it more secure than the existing models. The ticket generation is done at the server-side that makes the user have proper authentication to make use of the services available from the server-side. The model is designed in such a way that it could remain operational even during the time of denial of service. As future work, use of machine learning and deep learning could be used to predict the attack on the network well before it is being misused.

The paper discusses the Silver and Golden ticket exploits that usually exists in the existing systems. To overcome these challenges, the data is first encrypted and then the ticket is granted to the validated user. The users are validated using the user privileges. The security levels of the proposed model are compared with the existing models and provide a better performance using the Key Distribution Centre (KDC). The number of authentication and authorization levels present in the existing and proposed model is also evaluated.

In this paper we extend established concepts of product and process architectures to propose a concept of organization architecture that defines the essential features of the system design of an organization needed to achieve an effective strategic alignment of an organization with its competitive and/or cooperative environment. Adopting a work process view of organization, we draw on concepts of product and process architectures to elaborate fundamental elements in the design of an organization architecture. We suggest that organization architectures may be designed to support four basic types of change in organization resources, capabilities, and coordination, which we characterize as convergence, reconfiguration, absorptive integration, and architectural transformation. We also suggest the kinds of strategic flexibilities that an organization must have to create and implement each type of organization architecture. We identify four basic types of strategic environments and consider the kinds of changes in resources, capabilities, and coordination that need to be designed into an organization's architecture to maintain effective strategic alignment with its type of environment. We then propose a typology that identifies four basic ways in which organizational architectures may be effectively aligned with strategic environments. Extending the reasoning underlying the proposed alignments of organization architectures with strategic environments, we propose a strategic principle of architectural isomorphism, which holds that maintaining effective strategic alignment of an organization with its environment requires achieving isomorphism across a firm's product, process, and organization architectures. We conclude by considering some implications of the analyses undertaken here for competence theory, general and mid-range strategy theory, and organization theory.

The purpose of this exploratory paper is to analyze how complexity of an artifact affects designing processes of its mechanical, electric, and software sub‐systems.

Based on existing empirical research and frameworks of axiomatic design, product architecture, and product development process, the paper proposes a simple model of functional and structural design to examine how engineers' ways of thinking differ among mechanical, electric and software engineers.

This paper argues that products and artifacts tend to become complex (often with integral architecture) when customers' functional requirements become more demanding and societal/technological constraints become stricter, and that complex mechanical products are often accompanied by electronic control units with complex functions. This implies that designing complex mechanical products often requires intensive coordination among mechanical, electric and software engineers. This, however, is not easy, as engineers' way of thinking is often different among the three areas: mechanical engineers want to complete structural design information first to build prototypes; electrical and software engineers (the latter in particular) request complete functional information first.

In order to solve the above‐mentioned mechanical‐electrical‐software coordination problem, engineers need to share basic design concept of the product in question. Heavy‐weight product managers who infuse the product concept to the project members might be the key to this coordination. Companies may need to make sure that their product development processes are friendly to all of the three groups of engineers.

Although designing complex artifacts has been a popular research theme since H. Simon's seminal work, issues of organizational coordination for developing complex products, with increasing managerial importance, need further research. With an empirical case of the automobile and electronic products, the present paper is unique in that it combines frameworks of product development processes, product architectures, and organizational capabilities.