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In order for travelers to arrive at their destination comfortably, it is important that they plan their trip carefully. Our motivation in this paper is to free the traveler from tedious planning tasks. Several studies and applications have been proposed to help travelers plan their trip according to explicit preferences, but most ignore implicit preferences. For the first time, to the best of our...
Based on the characteristic of autonomous underwater vehicle path planning, the method of path planning was analyzed by genetic algorithm. Firstly, by means of grid, plan space was modeled into two markers. Best path was searched by genetic algorithm. Method of giving birth to initial groups was improved. Sufficiency function of path planning was given. Chamfer operator in genetic algorithm was imported...
Modern airlines use sophisticated pricing models to maximize their revenue, which results in highly volatile airfares. Without sufficient information, it is usually difficult for ordinary customers to estimate future price changes. Over the last few years, several studies have tried to solve the problem of optimal purchase timing for flight tickets, in which the prediction task is described as a binary...
Apache HBase is a column-oriented NoSQL key-value store built on top of the Hadoop distributed file-system. Logically, columns in HBase are grouped into column families. Physically, all columns in one column family are stored in the same set of files. Therefore the division of column families is closely related to the response time for a specific row query. In this paper, one new Evolutionary Algorithm...
With the proliferation of smartphones, participatory sensing using smartphones provides unprecedented opportunities for collecting enormous sensing data. There are two crucial requirements in participatory sensing, fair task allocation and energy efficiency, which are particularly challenging given high combinatorial complexity, tradeoff between energy efficiency and fairness, and dynamic and unpredictable...
Road detection is a key task in developing an intelligent vehicle. Typical methods using machine vision suffer from being easy to be influences by outer conditions, so here we designed a new method to detect roads by a laser radar. Considering the intelligent vehicle may face much trouble in unsmoothed road, in road with anomalous edges or running crosswise with the road direction, we present a method...
The capability of an intelligent services system is based on a set of services processes, which are often organized into and managed by a process library. In order to react to a outside requirement, the system takes one of the approaches of using a predefined process directly, composing existing process models or generating a new process model based on a search algorithm on demand. Therefore, to decide...
In cloud computing environment, it is common for a multi-component application to be deployed into the IT infrastructure on demand. Although the Application Component Placement Problem or ACP has been studied both in the academy and industry for some years, so far these approaches all rely on a centralized node to collect the information about the network topology and hosts of the targeting environment...
A stable and optimal overall performance is always the target for any process engine. In this paper, we introduced a dynamic matrix control based service process engine. It is built on the Jini platform and employs Jini services to provide functions for a service process engine. The process engine will estimate each client request workload by a heuristic algorithm. According to the estimated workload...
Mesh-based overlay has emerged as a promising scalable solution for distributing live video stream, but it relies on random selections of neighbors, without optimizing the overlay by exploiting peer location and bandwidth, which leads to high delay incurred during video diffusion. In order to reduce the diffusion delay, we design a Location and Bandwidth (LB) balance overlay with hierarchical structure,...
Distributed Constraint Optimization Problem (DCOP) is a framework that recently emerged as one of the most successful approaches for coordination in Multi-Agent system. Dynamic Programming Optimization (DPOP) is an algorithm which requires only a linear number of messages, thus introducing exponentially less network overhead than other search algorithms when applied in a distributed setting. In DPOP...
In order to improve the performance of LMS (Least Mean Square) adaptive filtering algorithm, an improved robustness adaptive step-size LMS equalization algorithm was presented by establishing a nonlinear relationship between the two relevant statistics for step-size factor μ(n) and the error signal e(n). Compared with other algorithms, this algorithm overcomes of sensitivity to the noise coming from...
This paper presents a novel method for recognizing objects using corner features. As one of the most important local features, corner contains lots of information with the shape of the objects. Our approach detects corner points from images and describes the objects based on them. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability...
Service process management system (SPMS) plays a very important role in todaypsilas business process management environment and automatic configuration is essential to ensure its scalability and stability. However, current simple and static configuration mechanism doesnpsilat work well when the load of SPMS changes greatly with the time. An automatic configuration algorithm for distributed service...
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