Enterprise Modelling using Unified Framework supporting Distributed Object Computing

This paper provides a support for the analysis phase in the life cycle of the enterprise distributed computing systems. The major goal of our work is to provide a small but powerful set of enterprise modeling concepts. We will be extending the concept of Enterprise Modeling using EDOC inter-agent system using OPEN Framework

A Proposal for Architectural Framework Using Internet of Things with Fog Computing for an Air Quality Monitoring System

Air Monitoring becomes a systematic approach for sensitivity and finding out the cir-cumstances of the atmosphere. The major concern of air quality monitoring is to meas-ure the concentration of pollution and other important parameter related to the con-tamination and provides information in real-time to make decisions at right time to cure lives and save the environment. This paper proposes an Architectural Framework for the air quality monitoring system based on Internet-of-Things (IoT) and via Fog computing techniques with novel methods to obtain real-time and accurate measurements of con-ventional air quality monitoring. IoT-based real-time air pollution monitoring system is projected to at any location and stores the measured value of various pollutants over a web server with the Internet. It can facilitate the process and filter data near the end of the IoT nodes in a concurrent manner and improving the Latency issue with the quality of services

Modelling and Simulation of Queuing Models through the concept of Petri Nets

In recent years Petri Nets has been in demand due to its visual depiction. Petri Nets are used as an effective method for portraying synchronization, a concurrency between different system activities. In queuing models Petri networks are used to represent distributed modeling of the system and thus evaluate their performance. By specifying suitable stochastic Petri Nets models, the authors concentrate on representing multi-class queuing systems of various queuing disciplines. The key idea is to define SPN models that simulate a given queue discipline 's behavior with some acceptable random choice. Authors have find system queuing with both a single server and multiple servers with load-dependent service rate. Petri networks in the queuing model have enhanced scalability by combining queuing and modeling power expressiveness of 'petri networks.' Examples of application of SPN models to performance evaluation of multiprocessor systems demonstrate the utility and effectiveness of this modeling method. In this paper, authors have made use of Stochastic Petri nets in queuing models to evaluate the performance of the system

PENTRAL: Pattern Based Logic Language

The article focuses on the urban traffic representation using patterns which are specifically developed for traffic situations. The framework PENTRAL (PEtri-Net TRAnsportation Language) provides conversion of these patterns into algebraic format. These formats are saved as an XML file following the three tier architecture of urban Traffic system

Formal Verification of Urban Traffic System Using the Concept of Fuzzy Workflow Simulation

Modeling complex urban traffic system requires extensive use of workflow methodologies which can simulate almost real time traffic situations. Number of studies were done in the field of Urban Traffic Simulation like PLOTS, NETSIM and PALAMICS but none of them could provide a real formal solution. Our paper proposes a methodology using Fuzzy Petri nets for modeling real time traffic system. Fuzzy Petrinets are also visualised and tested by using Flow- Charter and HPSIM software packages. These packages help in providing successive iterations of process model for further refinement

Application of UML for Modeling Urban Traffic System Using Producer Consumer Theory to Generate Process Algebra Model

UML is widely used as an industry standard for modeling any system. In this paper will be dealing with simple UML diagrams and show that low it can be transformed into process algebra models specially designated to model urban traffic systems. The model capture functionality at the level of mesoscopic as well as microscopic level and it is merged with process algebra’s producer consumer theory. The model is also formalized using Process algebra equations. This paper focuses on complex situational activity diagrams enhancing the expressivity by refining at the abstraction levels. Performance requirement is annotated by the UML profile for schedulability performance and time

A Hybrid Machine Learning System for Stock Market Forecasting

A hybrid machine learning system based on Genetic Algorithm (GA) and Time Series Analysis is proposed. In stock market, a technical trading rule is a popular tool for analysts and users to do their research and decide to buy or sell their shares. The key issue for the success of a trading rule is the selection of values for all parameters and their combinations. However, the range of parameters can vary in a large domain, so it is difficult for users to find the best parameter combination. In this paper, we present the Genetic Algorithm (GA) to overcome the problem in two steps. First, setting a sub-domain of the parameters with GA. Second, finding a near optimal value in the sub domain with GA and Time Series Analysis in a very reasonable time

Facebook an Anti-Stereotyping Tool: A Case Study

Facebook, the most popular social media (SM) platform has penetrated every nook and corner of the world. SM is now treated as the ‘fifth Estate’, other than legislative, executive, judiciary, and mainstream media. The power of SM as a critique is widely acknowledged. Establishments are finding it difficult to deal with it at times. Due to its ease of usage and relative anonymity, the general public finds it very convenient to put across their viewpoints, even if it’s against the establishment. Some establishments at times are at loggerheads with champions of freedom of speech including civil rights activists. SM has been used for propaganda, marketing, and awareness campaigns. In this paper, we are proposing to use this powerful tool towards social change. Through a case study, a detailed process is being proposed for using social media particularly Facebook as an anti-stereotyping tool. The response to an online survey, the outcome of opinion min-ing, and the enthusiastic response to our case study by the targeted audience validate our hypothesis that Facebook can be effectively utilized as an anti-stereotyping tool