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Taking the Zhuxi watershed in Changting County of China as the study area, soil erosion is estimated by using SWAT model. The runoff sediment data from 2013–2015 years of Hetian hydrologic station are used for the model's calibrations and correction. The experimental results showed that the simulated results from the SWAT model with the correction parameters could reflect the actual situation of the...
The most significant issue in the recent times in finance is finding the systematic ways to abridge and envision the stock market data. Stock market analysis gives useful information to Entrepreneurs, Individuals and Institutions about the etiquette of the market helping with speculation decisions. Many prediction models have been developed during the last decade. As a comparative study, we will be...
Accurate estimation of forest aboveground biomass (AGB) is crucial for monitoring ecosystem responses to environmental change. Optical remote sensing is the most widely used method for obtaining AGB information. However, there is a need for improving the accuracy of AGB estimates obtained in this way. In this paper, a synergistic estimation model through the integration of spectral and textural features...
We present an efficient and scalable scheme for implementing agent-based modeling (ABM) simulation with In Situ visualization of large complex systems on heterogeneous computing platforms. The scheme is designed to make optimal use of the resources available on a heterogeneous platform consisting of a multicore CPU and a GPU, resulting in minimal to no resource idle time. Furthermore, the scheme was...
A real-time system should operate correctly within deadlines. A failure in response will lead to loss of human life or a big damage to the property. The systems are sometimes considered only mission critical, with mission being very expensive. A Mission Critical System needs study real time software which is highly complex and is vital for the success of the mission. The mission capability depends...
Agent-based modeling and simulation (ABMS) has attracted social scientists and demographers in the field of social simulation. Due to large number of computer simulation technologies, ABMS approaches have been proposed with majority applications. ABMS composed of heterogeneous interacting agents, with several features which turn them into a significantly attractive modeling approach to simulate complex...
The models@run.time paradigm promotes the use of models during the execution of cyber-physical systems to represent their context and to reason about their runtime behaviour. However, current modeling techniques do not allow to cope at the same time with the large-scale, distributed, and constantly changing nature of these systems. In this paper, we introduce a distributed models@run.time approach,...
There are a lot of data about biodiversity stored in different database models and most of them are relational. Recent research shows the importance of links and network analysis to discover knowledge in existing data. However, the relational model was not designed to address problems in which the links between data have the same importance as the data -- a common scenario in the biodiversity area...
In the era of big data, data analytics, business intelligence database management plays a vital role from technical business management and research point of view. Over many decades, database management has been a topic of active research. There are different type of database management system have been proposed over a period of time but Relational Database Management System (RDBMS) is the one which...
The Data-as-a-Service (DaaS, or Data Services) paradigm enables an on-demand, service-based access to data, relying on similar principles to Software-as-a-Service (SaaS). DaaS permits centralized data quality management, a uniform view and access to heterogeneous data, and enables exposing a richer, domain-specific data model to users. Within this context, we are witnessing a trend in institutions...
The REA business model language is an established vehicle (i) to model businesses in terms of domain specific value chains and their key concepts and (ii) to capture business data in terms of accounting artefacts. REA has evolved into a specification that could drive web shops, enterprise/trading information systems, enterprise resource planning systems, etc. Such systems require support for sophisticated...
A generic system for estimation of model parameters — calibrate models — is introduced. The proposed system architecture is built of several loosely coupled modules behaving as RESTful web services and allowing to integrate other parts of the system via HTTP protocol and data exchanged in JSON format. The system was designed in such a way that the most demanding computational part is computed in parallel...
In order to establish a model to describe the growth process of plant leaf and realize the simulation of plant leaf's growth process on computer, this paper put forward a growth model of plant leaf which based on the growth parameters, it can simulate the growth process of plant leaf easily and actually on computer on the premise that several necessary parameters are provided. The experiment result...
This paper focuses on the creation of a methodology for automatic real world adequate geosimulation model preparation, based on GIS models and statistical data collected. The urban environment is a network that exists among different structures, links, flows and relationships. The spatial distribution and development direction of the territory, also business environment development is determined by...
An important challenge in today's software development domain is to integrate diverse development tools. In this paper we present a method that combine various modeling languages which underline a set of steps for the purpose of specifying tool integration, and then establish tool chains above the Service cloud and provide these tools as Services. A case study from the embedded system development...
To engineer the modern large, complex, interdisciplinary systems-of-systems (SoS), the collaborative world teams must “speak” the same language and must work on the same “matter.” The “matter” is the system model and the communication mechanisms must be supported by standard, flexible, and friendly modeling languages. The evolving model-based systems engineering (MBSE) approach is leading the way...
An experimental open, cloud-based platform for large-scale, low-cost delivery of healthcare applications enables broader use of patient-centric management of electronic health records and facilitates the secure and seamless sharing of EHRs among stakeholders within a healthcare system.
This paper focuses on joint work towards the development of simulation applications in the forest sector. They are based on advanced “semantic” world modeling techniques which use remote sensing data and processing algorithms to derive tree species classification maps, as well as forest stand attributes and single tree databases over large areas. The resulting databases are the basis for a variety...
In order for simulation studies to be useful, it is very important that the simulation results match as closely as possible with the test bed results. In this Paper, we study the throughput performance in Mobile Ad Hoc Networks (MANETs) and compares emulated test bed results with simulation results from OPNET (Optimized Network Engineering Tool). The performance of the Mobile Ad Hoc Networks is very...
Multi-Models address issues of nD modeling problems in construction information processes. They provide a temporary and loose coupling by aggregating instances of possibly orthogonal domain models and expressing explicit relations between their elements. To provide a base for prototypical and specific multi-model support as well as the development of generic multi-model based tools, the authors propose...
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