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Nowadays, research and development for optimal setting control (OSC) of complex industrial processes is becoming a hot topic. However, there is no configurable software for OSC design. In this paper, a novel software platform is proposed. The major superiority is that it not only integrates intelligent and data-driven mainstream algorithms within a unified framework, but also provides a powerful controller...
This paper focuses on the optimal design of Moving Average Filter (MAF). The necessary and sufficient condition for MAF to filter out a group of harmonics with specified orders simultaneously is deduced based on the presented model. Accordingly, the enhanced MAF (EMAF) algorithm is proposed and used for the fast open-loop phase locking of the distorted grid. Compared with the Cascaded Delayed Signal...
Long-term car pooling is defined as the sharing of a private vehicle by more than one user who need to reach a destination following a semicommon route between the individuals' points of origin and destination in a specific period. In this paper, we employ a network flow technique to systematically develop a long-term many-to-many car pooling model. The model is formulated as a special integer multiple-commodity...
In distributed sensor networks, which have limited resources, such as energy and storage, and work in a dynamic environment, the networks should effectively allocate some real-time tasks on those limited resources. Additionally, we should do our best to maximize the lifetime of wireless sensor networks (WSNs) and the accuracy of the results. Due to most of previous works focusing on static task allocation...
In this paper, as physical resources of sensor nodes are limited, such as storage and computing power, frequent faults and reconfiguration caused by failure nodes may occur. We propose a multi-agent-based adaptive task allocation algorithm in wireless sensor network (WSNs). The algorithm applies multi-agent theory and technology to the adaptive task allocation in WSNs to recover the network with the...
This paper presents performance comparison of register allocation algorithms in DBT (dynamic binary translation). A group of register allocation algorithms including SRA (simple register allocation), GRA (global register allocation), NRA (next-use register allocation) and SGRA (simplified graph-coloring register allocation) are implemented in a DBT system and evaluated. SGRA is a simplified version...
Data aggregation in wireless sensor networks eliminates data redundancy, thereby improving bandwidth usage and energy utilization. This paper presents a data aggregation algorithm, called MRDWA (Multi-Role Dynamic Weighting Aggregation), it mainly used in event driven WSN (Wireless Sensor Networks). MRDWA is based on cluster topology structure, and use different data aggregation algorithm according...
In this paper, we study two basic problems about planar computational geometry with bracket method. One is how to judge whether a point is inside a given convex polygon, the other is how to compute the convex hull of planar points. The key idea of our criteria is to use the bracket, which is made up of the homogeneous coordinates for points, to carry out the judgment and computation. Experiments show...
A healthy and sustainable development of aquaculture requires an accurate forecast of aquatic product prices. This paper presents an experiment with a Web-based application to perform product price prediction. It integrates three key technologies: automatic data extraction algorithms to retrieve aquatic product prices from various related Websites, attribute-oriented induction algorithms to capture...
Service Oriented Architecture (SOA) and Service Oriented Computing (SOC) are prevailing paradigms for sharing and reusing resources. Service composition is a methodology widely used in SOA and SOC to build new value-added services on primitive services on-the-fly to support online Business-to-Business collaborations. Requirements of customers to these composite services include functionality and non-functionality...
The ability to scientifically and accurately forecast product price fluctuations plays a crucial role in the development of the contemporary market economy and consequently results in vigorous research in the area. This paper presents a new forecast method using multi-granularity of time and case-based reasoning (CBR) with fuzzy matching of cases featuring certain fluctuations. The method has been...
The convergence of the intelligent transportation system (ITS) technologies has given rise to new opportunities for creative and incentive taxi services such as taxipooling. Taxipooling is similar to carpooling which is based on the idea that sets of users having the same travel destination and sharing vehicles. This paper presents two heuristic algorithms based on greedy method and the time-space...
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