3,863 research outputs found

    Development of Cloud-Based Microservices to Decision Support System

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    Intelligent systems of simulation become a key stage of the scheduling of companies and industries work. Most of the existing decision support systems are desktop software. Today there is a need to use durability, flexibility, availability and crossplatforming information technologies. The paper proposes the idea of working cloud based decision support system BPsim.Web and this one consists of some set of services and tools. The model of the multiagent resources conversion process is considered. The process of the simulation model developing via BPsim.Web is described. An example of the real process model is given. © 2020, IFIP International Federation for Information Processing.Russian Foundation for Basic Research, RFBR: 18-37-00183The reported study was funded by RFBR according to the research project № 18-37-00183

    Beyond the Object

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    Object orientation (OO) is regained not only in all components of integrate development media but it remarks in the rest of software world from operating system to last application domain - of course, with different intensity and success. A clear prove of OO application in all situations is the development of a wide range of industrial applications. OO technology allows drawing of relation between the geometry, topology and dimensions of data on a class hierarchy; thus, the observation of the amount of data gained by research in many scientific domains is facilitated through class libraries both for graphic primitives and for events examination. In conformity to all waiting, OO asserts in every distributive system, there are very important the applications for making open systems customer-server and dis-tributed applications in Java. Finally OO application in robot's programming and modeling needn't be omitted. However, far to be panacea, OO has also shades which will be researched so on.object orientation, adaptability, reusability component wares, mega-programming, generative programming.

    MULTI-PERSON DECISION FOR SUSTAINABLE DESIGN ON IBS FLOOR SYSTEM SELECTION

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    Selecting a design solution (choice problem) is one of the natures of design decision. If the problem is more complex and involves multi participants, decision aid is necessary. This paper discusses the nature of group judgment and negotiation on multi-criteria decision-making methodologies. It presents a conceptual model of negotiation support in a multi-person decision on building floor system selection. Decision technique (AHP) was applied for decision process in a satisfying options and game theory for coalition formation. An n-person cooperative game is represented by a set of all players. The proposed coalition formation model enables each agent to select individually or coalition. It improves the value of building system decision. It further emphasizes the importance of performance evaluation in the design process and value-based decision. The support model can be extended to an automated negotiation and in different building system selection with proper  modification. Keywords: Multi-person, design decision, IBS, floor system selection

    CIDE: An Integrated Development Environment for Microservices

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    Microservices is a flexible architectural style that has many advantages over the alternative monolithic style. These include better performance and scalability. It is particularly suitable, and widely adopted, for cloud-based applications, because in this architecture a software system consisting of a large suite of services of fine granularity, each running its own process and communicating with the others. However, programming such systems is more complex. In this paper we report on CIDE, an integrated software development environment that helps with this. CIDE supports programming in a novel agent-oriented language called CAOPLE and tests their execution in a cluster environment. We present the architecture of CIDE, discuss its design based on the principles of the DevOps software development methodology, and describe facilities that support continuous testing and seamless integration, two other advantages of Microservices

    Modelling Web Services in the agent-oriented modelling language and environment CAMLE

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    A particular difficulty in the development of Web Services applications is caused by the lack of communications between developers from different vendors. This paper investigates how modelling can help to solve the problem using the caste-centric agent-oriented modelling language and environment CAMLE, and illustrates the method by an example of online auction service. The use of CAMLE in model consistency check and specification generation is also discussed. Software engineers are enabled to specify not only the service provider's functionality and behaviour, but also the requirements and restrictions on service requesters' behaviours

    An Adaptive Casteship Mechanism for Developing Multi-Agent Systems

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    In this paper, we propose an adaptive casteship mechanism for modelling anddesigning adaptive Multi-Agent Systems (MAS). In our approach, caste is the modular unit andabstraction that specify agents’ behaviour. Adaptive behaviours of agents are captured as the change of castes during their lifecycles by executing ‘join’, ‘quit’, ‘activate’ and ‘deactivate’operations on castes. The formal semantics of caste operations are rigorously defined. The properties of agent’s adaptive behaviours are formally specified and proved. A graphicalnotation of caste transition diagrams and a number of rules for check consistency are designed. An example is also presented throughout the paper

    Simulation and optimization model for the construction of electrical substations

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    One of the most complex construction projects is electrical substations. An electrical substation is an auxiliary station of an electricity generation, transmission and distribution system where voltage is transformed from high to low or the reverse using transformers. Construction of electrical substation includes civil works and electromechanical works. The scope of civil works includes construction of several buildings/components divided into parallel and overlapped working phases that require variety of resources and are generally quite costly and consume a considerable amount of time. Therefore, construction of substations faces complicated time-cost-resource optimization problems. On another hand, the construction industry is turning out to be progressively competitive throughout the years, whereby the need to persistently discover approaches to enhance construction performance. To address the previously stated afflictions, this dissertation makes the underlying strides and introduces a simulation and optimization model for the execution processes of civil works for an electrical substation based on database excel file for input data entry. The input data include bill of quantities, maximum available resources, production rates, unit cost of resources and indirect cost. The model is built on Anylogic software using discrete event simulation method. The model is divided into three zones working in parallel to each other. Each zone includes a group of buildings related to the same construction area. Each zone-model describes the execution process schedule for each building in the zone, the time consumed, percentage of utilization of equipment and manpower crews, amount of materials consumed and total direct and indirect cost. The model is then optimized to mainly minimize the project duration using parameter variation experiment and genetic algorithm java code implemented using Anylogic platform. The model used allocated resource parameters as decision variables and available resources as constraints. The model is verified on real case studies in Egypt and sensitivity analysis studies are incorporated. The model is also validated using a real case study and proves its efficiency by attaining a reduction in model time units between simulation and optimization experiments of 10.25% and reduction in total cost of 4.7%. Also, by comparing the optimization results by the actual data of the case study, the model attains a reduction in time and cost by 13.6% and 6.3% respectively. An analysis to determine the effect of each resource on reduction in cost is also presented

    A Semantics-Based Approach to Construction Cost Estimating

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    A construction project requires collaboration of different organizations such as owner, designer, contractor, and resource suppliers. These organizations need to exchange information to improve their teamwork. Understanding the information created in other organizations requires specialized human resources. Construction cost estimating is one of the processes that requires information collected from several sources including a building information model (BIM) created by designers, estimating assembly and work item information maintained by contractors, and construction resource cost information provided by resource suppliers. Currently, it is not easy for computers to integrate the information for construction cost estimating over the Internet. This study discusses a new approach to construction cost estimating that uses the Semantic Web technology. The Semantic Web technology provides a data modeling format and the required infrastructure that enables accessing, combining, and sharing information over the Internet in a machine processable format. The estimating approach presented in this study relies on BIM, estimating knowledge, and construction material cost data to be represented in the Semantic Web. The approach presented in this study makes the various sources of cost estimating data accessible as Simple Protocol and Resource Description Framework Query Language (SPARQL) endpoints or semantic web services. This study presents an estimating approach that integrates distributed information provided by project designers, contractors, and material suppliers for preparing cost estimates. The purpose of this study is not to fully automate the estimating process but to streamline it by reducing human involvement in repetitive cost estimating activities

    A Methodology for Modelling Mobile Agent-Based Systems (Mobile agent Mobility Methodology - MaMM)

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    Mobile agents are a particular type of agents that have all the characteristics of an agent and also demonstrate the ability to move or migrate from one node to another in a network environment. Mobile agents have received considerable attention from industry and the research community in recent times due to the fact that their special characteristic of migration help address issues such as network overload, network latency and protocol encapsulation. Due to the current focus in exploiting agent technology mainly in a research environment, there has been an influx of software engineering methodologies for developing multi-agent systems. However, little attention has been given to modelling mobile agents. For mobile agent-based systems to become more widely accepted there is a critical need for a methodology to be developed to address various issues related to modelling mobility of agent . This research study provides an overview of the current approaches, methodologies and modelling languages that can be used for developing multi-agent systems. The overview indicates extensive research on methodologies for modelling multi-agent systems and little on mobility in mobile agent-based systems. An original contribution in this research known as Mobile agent-based Mobility Methodology (MaMM) is the methodology for modelling mobility in mobile agent-based systems using underlying principles of Genetic Algorithms (GA) with emphasis on fitness functions and genetic representation. Delphi study and case studies were employed in carrying out this research
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