Composition Plan Research Articles

Research on Service Process Verification of Probabilistic Spanning Tree for Dynamic Composition

Web services have been widely employed in E-commerce system. It is a flexible way to use third-party applications for complex business logics implementation, which supports data transparent transmission via public interfaces. However, the single service with a fixed function has limitations to the diversity and complexity of user requirements, especially the interoperability of applications interactions. To address the challenge, the capability of dynamic services composition aims to select services and assign them to business process. However, there are kinds of possible composition plans to satisfy requested functions. It is a great importance to evaluate these plans to guarantee the solution of services composition is correctness and acceptable. In this paper, it proposes a service process verification approach to probabilistic spanning tree for dynamic composition. First, the probabilistic spanning tree is introduced to describe services composition plans according to the interface operations decomposition of given service requirements. Second, the service process model is generated from probabilistic spanning tree based on different pruning strategies, where the formal verification is performed to check each solution against quantitative properties related to the functional and non-functional requirements. Our method is feasibility to dynamic services composition since the quantitative verification guarantees the performance of composition solution.

Fracture toughness and fracture surfaces morphology of metakaolinite-modified concrete

The authors’ main aim was an in-depth study of the issue of fracture toughness of metakaolinite modified concretes, the problem not investigated to a great extent so far. The results of tests on the fracture toughness of metakaolinite modified concretes have proved that it is higher compared with that of non-modified concretes. Fracture toughness increases with the higher addition of metakaolinite. The possibility of relating the morphology of fracture surfaces forming during cracking of concretes modified with the addition of metakaolinite to the fracture toughness, as expressed by the critical stress intensity factor KIcS, is explored in the paper using statistical apparatus. The mechanical properties and fractal dimension examinations were carried out according to the central composition plan, while assuming two variables: the metakaolinite addition fraction of the binder mass, varying in the range from 2 to 15%, and the water/binder ratio, varying in the range from 0.35 to 0.53. The fractal dimension Dc was calculated by the chord method for profile lines isolated from the fracture surfaces, and then the fractal dimension was related to the fracture toughness as expressed by the critical stress intensity factor, KIcS.

QoS-based Web Service Composition Applying an Improved Genetic Algorithm (IGA) Method

In recent years, it has been made possible to compose exiting services when a user's request cannot be satisfied by a single web service. Web service composition is faced with several challenges among which is the rapid growth in the number of available web services leading to increased number of web services offering the same functionalities. The difference between similar services is Quality of Service (QoS) consisting of various non-functional factors such as execution time, availability, security, etc. As a result, multiple choices are possible in making a composition plan. Among numerous plans, selecting a composition plan that fulfills customer's requirements has become an important and time-consuming problem. In this paper, the researchers propose a semi-heuristic genetic algorithm that is a combination of both a heuristic method and the genetic algorithm. This heuristic method changes chromosomes based on unsatisfied constraints. Research findings show that the proposed method can be applied to find a composition plan that satisfies user's requirements more efficiently than other methods.

A Composition Plan of Figure-Type Memorial Space Based on Storytelling

Today, communication and interaction with audiences, beyond a simple exhibition, is considered as important. Therefore, an emotional approach to draw emotional participation is required in exhibition methodology. This study is going to utilize one of such methods focusing on storytelling. This study deducts exhibition storytelling model based on structure of storytelling. This can be applied to planning and analysis of exhibition contents. That is, this study is a research about the methodology that converses an exhibition theme’s content aspect such as historicity, the lessons, the popularity, and the playfulness into its form, technical aspect and shows them and makes audience sympathize them. Through the storytelling structure on the basis of Greimas’ generative model of significance theory, this study draws out a storytelling model for exhibition. The storytelling model can be applied in planning and analyzing contents for an exhibition. As a case, this study proposes an exhibition storytelling for establishing Moon Ik-Jeom’s memorial hall.

A Study on the Spatial Composition Plan of Social Welfare Centers for the Intergenerational Interactions in Korea

This study analyzes the welfare services and spatial composition of social welfare centers that represent complex welfare facilities in order to provide basic information for the spatial planning of social welfare centers. We examined 15 social welfare centers built in the 2000s. A literature review and case study were used as research methodology. The findings are as follow. First, services provided at the surveyed facilities overlapped for seniors and the handicapped. Most social welfare centers provided welfare services for seniors, young children, and teenagers. Second, the proportion of common area, program rooms was high for spatial composition. Third, front access by car was most common (used at nine centers) for the design of the access area and used by. Fourth, shared entry and exit was most common (used at 10 centers) for the design of the entrance. Fifth, regarding space combining style, a mixed style was most frequently used (observed at seven centers) where different private areas for different service users were partly mixed on certain floors. Sixth, a corridor type was most common (used at seven centers) for the design of a corridor space where visitors could walk along the corridor to access individual rooms. Based on the findings, we propose spatial composition of social welfare centers to promote mingling and exchanges among users of different generations.

A Study of Medical Tourism Cluster Sub-Unit Plans

Each local government of South Korea has proposed plans to form a medical tourism cluster in line with the rising medical tourists. These plans, however, have not been implemented anywhere in the country. It is because the plans are more theoretical and less customized to each regional situation thus, requiring a huge budget. In this situation, the author of the present study views it necessary to set up more differentiated medical tourism cluster plans for realistic small-scale clusters according to each local conditions such as specific local criteria, cultural environment, geographical elements and hospital locational conditions and status. From this perspective, an answer can be gained by looking at regions with spontaneously-activated medical tourism. This research seeks to analyze such regions to find a key to medical tourism sub-clusters that can be built without a huge budget and are appropriate for the South Korean medical tourism market. And it is viewed more proper for the national medical tourism situation that these sub-units, if established closer, build connection and grow larger together in combination spontaneously. To this end, in this study, the domestic medical tourism flow was analyzed to review the background and current situation of medical tourism cluster introduction and corresponding medical tourism cluster attributions were surveyed. A central facility was designed in line with the attributes together with composition plans. These plans were applied to areas selected herein as that favorable for spontaneous cluster growth. The plans are deemed meaningful as a criterion for the medical tourism cluster plans.

Data Access Service through Web Service byAuto-Updation Mechanism

Web service composition is a web technology that chains information from more than one source into a single web application. This technique delivers a special kind of composition application that aims at integrating data from multiple data providers conditional on the user‟s request. In addition, DaaS (Data as a Service) composition may reveal privacy sensitive information. Capable of both assessing the compatibility and identifying incompatibility of service. To check the privacy compatibility of privacy policy and privacy condition. Sometime, The mediator basically discards any composition plan which is subject to privacy incompatibility from the set response.to resolve this issue Negotiation Mechanism is used. Also provide privacy with WCF having different binding Mechanism like MTOM binding, BasicHttp binding, MexBinding by sending message in SOAP format over Http.

Characterizations environmental and energy of the biomethanisation industrial applied to avicolous biomass in Tunisia

This work consists in studying the alkaline fermentation, applied to the avicolous droppings, established on the level of the digester controls industrial Sousse Hammam. The analytical follow-up of this digester related, on the one hand, to the determination of certain characteristics of the avicolous effluent by the analysis of the physicochemical parameters (pH and Dry Matter: DM) and environmental (Suspended matter: SM and Asks Biological out of Oxygen: DBO 5 ), and in addition, on the energy follow-up by the appreciation of the qualitative productivity (Composition in Biomethane and Calorific value) of produced biogas. At the end of the experimentation implemented, the synthesis of the principal results is the following one: - The best assessments of depollution are obtained on the level of the mud tank as well concerning SM as the DBO 5 . - The interest of the recourse to the purification of produced biogas was shown by comparing the results before and after purification as well on gas the composition plan as on the calorific value level. - The installation of Biomethanisation considered requires some improvements for a better qualitative energy productivity, a better reduction of the power polluting of the droppings and a better valorization of the solid and liquid residues.

Preference-Based Web Service Composition: Case-Based Planning Approach

Web service selection is an indispensable process for web service composition. However it became a difficult task as many web services are increased on the web and mostly they offer similar functionalities, which service will be the best. User preferences are the key to retain only the best services for the composition. In this paper, we have proposed a web service composition model based on user preferences. To improve the process of web service composition we propose a case-based planning approach with user preferences which uses successful experiences in past to solve similar problems. In this paper we integrate user preferences in the phase of selection, adaptation and planning. Our main contributions are a new method of case retrieval, an extended algorithm of adaptation and planning with user preferences. Results obtained offer more than a solution to the user and taking both functional and non- functional requirements. trip, preferences on particular transportation companies or hotels, and times/dates for the travel. Based on the assumption that the world is regular, so similar problems have similar solutions; As a consequence, solutions for similar problems are a useful starting point for new problem-solving. Case-based planning (CBP) is a problem-solving method that uses a library of cases, where a case associates a past problem and goal description with a plan that solves the problem by achieving the goal (5). In similar situations, CBP can take advantage of previous planning experiences by reusing stored plans. In this paper, we present a novel approach to compute the best service compositions based on user preferences and CBP. The proposed approach differs from the previous works in that user's preferences are taken into count as an additional input, so we model preferences and incorporate them into the user request. We use an algorithm to determine the relevant services that may be used to answer the composition request. We propose a new composition with user preferences if the request is not solved before and our system is learning from experiences. Our approach integrates the user preferences in the process of Case-Based Planning, the multi plan adaptation and the planning. We generate the plan for the user's new request by finding a composition plan from the library of cases. The newly generated plan together with the new request can now be stored as a case in the case base for future reuse. Many CBP retrieve and adapt a single plan (6) (7). We propose to retrieve multiple plans using an algorithm for retrieving based on two steps find and select according to the preferences. The sub-plans retrieved are merged and adapted to solve the problem.

Application of response surface methodology in ball-cratering abrasive wear testing

The article presents an original use of experimental methods for the identification of the regression function in the form of a surface response to the optimization of parameters of ball-cratering method. This article suggests a methodology to determine the parameters' values (load, speed of rotation, minimum and maximum distance) for the ball-cratering method developed for determining the abrasive wear coefficient K c evaluating resistance of the tested coating to abrasion. The paper presents an experimental identification system, developed according to the central composition plan enabling the identification of the regression function in the form of a quadratic form. The objects of identification were the functions of the maximum relative error for diameters of craters' wear and the thickness of the wear ring, based on the values of the ball-cratering method. Analysis of the results of identification experiments were shown. Moreover, the construction and evaluation of the regression function and the use of the utility function to optimize parameters of the ball-cratering method were described. The verification of the developed methodology was performed based on the example of the selection of parameters for the ball-cratering method for a coating with high resistance to heat (AlTiCrN) which was deposited with the use of the physical vapor deposition method. To verify the obtained optimal parameter values in relation to the selected anti-wear coating, wear tests were performed according to the set parameters and were subjected to empirical verification confirming the obtained results. Application of response surface optimization method allows for the adaptation of the method to evaluate various types of coatings. Shortening the testing time is a significant achievement for the researchers.

Expansion of the set of central composition plans

The article discusses the approach, allowing to extend the set of central composition plans. Application of properties of a point material body allows the orthogonal planning.

HireSome-II: Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications

Cloud computing promises a scalable infrastructure for processing big data applications such as medical data analysis. Cross-cloud service composition provides a concrete approach capable for large-scale big data processing. However, the complexity of potential compositions of cloud services calls for new composition and aggregation methods, especially when some private clouds refuse to disclose all details of their service transaction records due to business privacy concerns in cross-cloud scenarios. Moreover, the credibility of cross-clouds and on-line service compositions will become suspicional, if a cloud fails to deliver its services according to its “promised” quality. In view of these challenges, we propose a privacy-aware cross-cloud service composition method, named HireSome-II (History record-based Service optimization method) based on its previous basic version HireSome-I. In our method, to enhance the credibility of a composition plan, the evaluation of a service is promoted by some of its QoS history records, rather than its advertised QoS values. Besides, the $k$ -means algorithm is introduced into our method as a data filtering tool to select representative history records. As a result, HireSome-II can protect cloud privacy, as a cloud is not required to unveil all its transaction records. Furthermore, it significantly reduces the time complexity of developing a cross-cloud service composition plan as only representative ones are recruited, which is demanded for big data processing. Simulation and analytical results demonstrate the validity of our method compared to a benchmark.

Decentralized Plan-Free Semantic-Based Service Composition in Mobile Networks

The inefficiency of one-to-one matching of user requirements to a single service has given rise to service composition. Service composition allows simple services to be dynamically combined into more complex services. In mobile environments, service discovery and integration involves cooperation between various service nodes where reliance on a centralized service registry introduces efficiency and single point of failure problems. Plan- and workflow-based composition solutions restrict service discovery to defined abstract models. Semantic similarity measurements play an important role in service integration. In this paper we introduce a semantic similarity and semantic nearness service composition method. The objective of our work is to free service nodes from adherence to restrictive composition plans. Our work also enables compositions to succeed in dynamic environments through a decentralized solution even when nodes are unaware of nearby service nodes. This paper presents a service composition solution that semantically advances composition paths towards users’ needs with each service hop while guaranteeing a user-acceptable QoS level. Simulation results showcase the effectiveness of the presented solution and its compatibility with underlying service discovery methods.

An Automatic Web Service Composition Framework Using QoS-Based Web Service Ranking Algorithm.

Web service has become the technology of choice for service oriented computing to meet the interoperability demands in web applications. In the Internet era, the exponential addition of web services nominates the “quality of service” as essential parameter in discriminating the web services. In this paper, a user preference based web service ranking (UPWSR) algorithm is proposed to rank web services based on user preferences and QoS aspect of the web service. When the user's request cannot be fulfilled by a single atomic service, several existing services should be composed and delivered as a composition. The proposed framework allows the user to specify the local and global constraints for composite web services which improves flexibility. UPWSR algorithm identifies best fit services for each task in the user request and, by choosing the number of candidate services for each task, reduces the time to generate the composition plans. To tackle the problem of web service composition, QoS aware automatic web service composition (QAWSC) algorithm proposed in this paper is based on the QoS aspects of the web services and user preferences. The proposed framework allows user to provide feedback about the composite service which improves the reputation of the services.

A Dynamic Service Composition on Social Networks

To propose an algorithm based on semantic description to compose multiple composite services dynamically and give it to the user and allow the user to select an optimized composition based on his comfort. In today’s world, web services are highly essential as they required for accomplishing tasks in a matter of second. Web services offer features such as e-Booking, e-Shopping, e-Banking that helps users to acquire everything from where they are. Currently the web developers use semantic based descriptions of web services to select and compose them and offer a single composition plan to the users. In certain cases providing a single plan to the users may not allow them to explore other good options that are available. Hence, giving multiple options to the user’s request would help them select a plan according to their desire and comfort.

Efficiently Compositing and Optimizing the Quality of Heterogeneous Services

The emerging service-oriented computing bring various services together to a ‘market' for clients to request, enabling the integration of services across the distributed, heterogeneous, and wide area networks. By encapsulating diverse implementations of physical and software resources in the interface that standardizes the functions, loosely coupled services have show great potential to support a versatile integration platform for complex applications. Existing techniques can successfully support integrating services from different providers to provide applications with more complex user requirements. However, to automatically composite services with guaranteed QoS is not trivial. In this paper, the authors propose Q-SAC, a QoS optimized service automatic composition model. Two main features of Q-SAC include automatic service composition, and multidimensional QoS optimization for the composition plan. The authors show that the problem of Q-SAC QoS optimization is NP-hard, and design a heuristic simulated annealing algorithm. Through simulation the authors show that this design is practical and efficient.

Lo singular como alternativa conceptual y metodológica para la construcción socioespacial de ciudad

El artículo propone argumentar la pertinencia del concepto de singularidad que surge entre los espacios intersticiales de segmentos conceptuales opuestos como los de formal/ informal, legal/ilegal, centro/periferia y desplazar esta radicalidad, para promover campos teóricos alternativos que faciliten la resignificación de las condiciones socioespaciales de la ciudad en todas sus formas. Además, sugiere el desarrollo de una herramienta metodológica que se ha denominado mapeo de la singularidad que, al partir de los planes de composición planteados por Deleuze y Guattari (1997), interactúan y establecen líneas de fuerza determinantes en el tiempo y el espacio y dejan ver la movilidad social y espacial. Lo anterior se discutirá respecto a un sector popular de Bogotá, Suba-Tibabuyes y se explorarán las potencialidades de esta alternativa conceptual y metodológica.

A Novel Rule Generation Scheme for Service Automation in Smart Space

A number of intelligent devices and services have been created and deployed in pervasive environment. Yet it could be tedious to manipulate, interact and analyze them and generate proper composition plan for a given scenario. In this paper, an automatic service rules generation algorithm is proposed to address the problem. Rules are extracted from the history context acquired from previous manual operations. A service rule management tool is developed for achieving the automatic extraction and visual correction for service rules based on user preferences. Instead of manual processing, the scheme provides an effective way to decrease unnecessary user interventions in smart space. As our working prototype and examples demonstrate, indoor illumination services can be applied and updated automatically by using SWRLbased rules.

Semantic composition of business processes using Armstrong's Axioms

AbstractLack of sufficient semantic description in the content of Web services makes it difficult to find and compose suitable Web services during analysis, search, and matching processes. Semantic Web Services are Web services that have been enhanced with formal semantic description, which provides well-defined meaning. Due to insertion of semantics, meeting user demands will be made possible through logical deductions achieving resolutions automatically. We have developed an inference-based semantic business process composition agent (SCA) that employs inference techniques. The semantic composition agent system is responsible for the synthesis of new services from existing ones in a semi-automatic fashion. SCA System composes available Web Ontology Language for Web services atomic processes utilizing Revised Armstrong's Axioms (RAAs) in inferring functional dependencies. RAAs are embedded in the knowledge base ontologies of SCA System. Experiments show that the proposed SCA System produces process sequences as a composition plan that satisfies user's requirement for a complex task. The novelty of the SCA System is that for the first time Armstrong's Axioms are revised and used for semantic-based planning and inferencing of Web services.

Semantic Context-Aware Service Composition for Building Automation System

Service-oriented architecture (SOA) is realized by independent, standardized, and self-describing units known as services. This architecture has been widely used and verified for automatic, dynamic, and self-configuring distributed systems such as in building automation. This paper presents a building automation system adopting SOA paradigm with devices implemented by device profile for web service (DPWS) in which context information is collected, processed, and sent to a composition engine to coordinate appropriate devices/services based on the context, composition plan, and predefined policy rules. A six-phased composition process is proposed to carry out the task. In addition, two other components are designed to support the composition process: building ontology as a schema for representing semantic data and composition plan description language to describe context-based composite services in form of composition plans. A prototype consisting of a DPWSim simulator and SamBAS is developed to illustrate and test the proposed idea. Comparison analysis and experimental results imply the feasibility and scalability of the system.