Sharing Web Services Research Articles

Modeling of polygraphic web-service using colored Petri nets

The use of Petri Networks as a tool for graphical and mathematical modeling of complex systems and processes has recently been widespread. Visual representation techniques and simulations, such as Petri colored networks, are effective at the development stage of complex systems, since they allow formally to describe and model the system at different levels of abstraction and investigate them dynamically. An example of a dynamic system is web-services. Web services and their components can interact with different applications that meet the standards of web services. As a rule, one service does not meet the needs of users, and services are becoming more and more complex. In fact, a modern web service is created by combining different web services and their components to create a component service that offers a set of new functional services. When combining and sharing Web services the most critical is the interaction of Web services and their components among themselves, which requires a detailed study of the functioning of the processes and modeling their behavior to improve their efficiency.Polygraphic web-service is a complex program system that organizes the provision of printing services. It works with the client through the Internet and provides an opportunity to find the necessary service at the printing centers for the best possible means, to make an order, to use various services, to pay for services, to choose a means of payment and delivery of printed products. The complex structure of the web-service requires the study and modeling of the interaction of its components to ensure the effectiveness of the operation.To model the composite web service system, it is necessary to identify the main and auxiliary subsystems by means of structural analysis. The block diagram of a web-service is presented in fig. 1. As a structural analysis tool, we used a data flow diagram (DFD) in the notation of a similar Heine-Sarson notation. A top-level contextual chart contains a set of subsystems connected by data streams.A model of a polygraphic web-service in the form of Petri's network in a hierarchical form was developed and presented for the purpose of analysis of separate networks of the second level. This enables to analyze all parts of the network separately and use the results to formulate conclusions about the correctness of the construction of the entire network. In the presence of links between networks of the second level, it is necessary to add additional criteria for the analysis of networks, which are connected with the addition of the main network of cities and transitions between networks of the second level, the number of which depends on the number of possible states of interaction between networks of the second level.

Multiple Trips Pattern Mining

In recent years, photograph sharing is one of the most mainstream web service, for example, Flickr, trip advisor and numerous other web services. The photograph sharing web services give capacities to include Geo coordinates, tags, and user ID to photographs to make photograph organizing easily. This study focuses on Geotagged photographs and discusses an approach to recognize user multiple trips pattern, i.e., common arrangements of visits in towns and span of stay and also elucidating labels that describe the multiple trips pattern. First, we segment collection of photos into multiple trips and categorize the photos manually based on photo trips into multiple trips, themes such as Landmark, Nature, Business, Neutral and Event. Our method mines multiple trips pattern for multiple trips theme categories. The experimental result of our technique beats other methods and accurate segmentation of photo collections into numerous trips with the 85% of accuracy. The multiple trips categorize about 91% correctly using tags, photo id, titles of digital photos, user id and visited cities as features. In last, we demonstrate the motivating examples showing an application with which one can find multiple trips pattern from our datasets and other different queries visit duration, destination and multiple trips’ theme on trips.

NoSQL based Web Service System for Sharing of Emotion Information in Cloud Computing

We present the No-SQL based Web service system for sharing of emotion information regarding the individual emotional states and location information of users using by a MongoDB in cloud computing environments. Pre-processed emotion information represents the individual emotional states categorized as a nine domain based on physiological signals recognition within the database system. However, in order to present individual emotional states regarding to pre-processed user’s emotional states and locations on a Web-based map, the computational overload with large amount of data for a location-query process is to be solved for support sharing Web services. Meanwhile, previous RDBMS-based systems are inadequate due to insufficient scalability and processing time of data processing nodes. Therefore, in this paper, we have designed and implemented an emotion sharing web service by reducing the load on the system using NoSQL database. In addition, it was confirmed that it is possible to effectively utilize resources and visualized by using Google’s FusionTable and it is possible to share on a Web map.

Robust estimation of a global Gaussian mixture by decentralized aggregations of local models

Distributed data collections are now more and more common due to the emergence of cloud computing, to spatially decentralized businesses, or to the availability of various data sharing web services. Obtain knowledge in such a collection raises then the need of new data mining methods to apply in a decentralized architecture. In this paper, we explore a machine learning side of this work direction. We propose a novel technique for decentralized estimation of probabilistic mixture models, which are among the most versatile generative models for understanding data sets. More precisely, we demonstrate how to estimate a global mixture model from a set of local models. Our approach accommodates dynamic topology and data sources and is statistically robust, i.e. resilient to the presence of unreliable local models. Such outlier models may arise from local data which are outliers, compared to the global trend, or poor mixture estimation. We report experiments on synthetic data and real geo-location data from Flickr.

Constructing Web-Based Object-Oriented Design Support System for Collaborative Ship Modeling

Multidiscipline three-dimensional (3D) design tools are utilized by most advanced shipyards in the world to gain both competitive advantage and productivity. While deadlines become shorter and shorter, the complexity of modern commercial vessels increases steadily; therefore, it is imperative for the marine industry to integrate diverse engineering information systems. 3D models are repetitiously constructed mainly because specified requirements on different design stages are time-consuming. In order to supersede costly point-to-point integration or system-specific integration that have been used, much attention has been paid to develop the advanced and open platform to not only codevelop parts by designers at different geographical locations, coordinate dissimilar applications and application components, but facilitate connectivity and the overall communication process to provide the end user with integrated and consistent data. This paper describes the object-oriented data-sharing collaborative design support system (DSS). DSS is proposed to speed up the construction of 3D models by the Internet technologies to translate product data and further be capable of providing reasonable model configurations of XML descriptions and sharing Web Services on the Internet to comply with shipyards' specific strategies.