The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper proposes a vehicle-oriented forecasting rules algorithm based on the Data mining Multi-dimensional association theory, according to the task scheduling experiences, which made the system to forecast the data flows and to raise the ability of the dynamic priority algorithm, to the data jammed situation where data flows is huge and transfer networks are not planned properly. Experimental...
This paper deals with the designing of low complexity scheduling for multiuser MIMO-OFDM systems with limited CSI (channel state information). By using quantization technology, we can get semi-orthogonal region sets. Thus, the transmitter can carry out user scheduling by using the feedback CSI, which including channel direction information (CDI) and channel quality information (CQI) and the quantized...
In light of the need to cut personnel cost and appease officer complaints about shift schedules, the National Highway Police Bureau needs to evaluate the efficiency of its manually designed shift schedules. This research applies integer linear programming and develops a scheduling model to help the NHPB solve the problem. The model is combined with Monte Carlo simulation method for data generation...
Advance reservations are usually used to guarantee the QoS of Grid applications by reserving a particular resource capability over a defined time interval on local resources. AR generally results in lower utilization of local resources and longer waiting time of non-AR jobs by interrupting processing time- and/or space- frames. This paper presents a slack-based AR mechanism, in which every AR request...
The aim of this paper is to present the role of Artificial Intelligence techniques to enhance reflective e-portfolios quality. Some AI techniques such as expert system; scheduling; Data Mining can support us to enhance our reflective e-portfolios quality. To get better result the designed portfolio has been supported by Problem Based Learning as an effective educational method. These tools together...
Wireless data broadcast is very suitable for delivering information to large user population. In this paper, we concentrate on data scheduling algorithm over multiple channels in mobile computing environments. First, we formulate the average expected delay of multiple channels considering data items' access frequencies, variable length, and different bandwidth of each channel. Second, we propose a...
This article first introduces an embedded real-time operating system VxWorks and its multi-tasks mechanism. Combining the requirements of the control system which needs to complete the engineering tasks and multi-task, real-time, it gives serial port driver and design of application layer. It proposes a multiple-task model and a method of task-scheduling. It also offers the detailed artifice of measurement...
In allusion to the scale problem in AHP, this essay demonstrates the importance of the selection of scale system and the necessity to evaluate scale. Through experiment, the essay points out a meaningful conclusion, that is, in reciprocal scale, index scale is more reasonable than any other scales. Although the method in this essay has some error, it makes some difference to the accuracy of the analysis...
As a revolutionary technology in industrial wireless field, Wireless Networks for Industrial Automation-Process Automation (WIA-PA) standard is established by China. Wireless networks are easily disturbed, so enhancing the determinability, the power, stability and real-time of the data communication are more important. An adaptive deterministic scheduling scheme for WIA-PA Networks is presented in...
Pipelined operator tree (POT) scheduling is an important problem in the area of parallel query optimization. A POT is a tree with nodes representing query operators that can run in parallel and edges representing communication between adjacent operators that is handled by sending long streams of data in a parallel-pipelined fashion. The problem is to assign operators to processors so as to minimize...
It has become an important objective as well as a key technology for improving the effectiveness of modern logistics systems that how to dispatch the various sub-systems in AS/RSs to achieve optimal performances. This paper gave a main focus on the analysis and comparison for a variety of algorithms, of which, the Genetic Algorithm (GA), the Ant Colony Algorithm (ACA) and the Petri Net (PN) were emphatically...
Constraint Programming (CP) developed as a computer science technology which employs developments in artificial intelligence and computer programming languages. Recently, research interest in combining constraint programming with mathematical programming arose. This paper discusses integration of CP and mathematical programming for a particular class of multi-objective planning and scheduling problems...
Many computational programs use nested loops. Programs run faster if they can execute loops in parallel. Therefore nested loops parallelization is an important problem for increasing of speed-up of program executions. One of underlying stages in parallelization is scheduling tiled space for iterating nested loops. As the problem is a NP-Hard one, using traditional search methods for solving such programs...
Generally speaking, the CAN network messaging is event-triggered, and the TTCAN provides a time-triggered method to send and receive messages. This article Raised a real-time dynamic priority algorithm which was based on TTCAN. In this way, the messages in the TTCAN network can be scheduled dynamically in Arbitrating time windows. Then the advantages of time-trigged communication and event-triggered...
Grid Computing is a widespread distributed computing environment that consists of heterogeneous resources and it provides huge computational power for the large scale distributed application. In this job scheduling is an essential objective to prioritize the jobs based on the job characteristics. It is a big challenge to design and implement an efficient Job Scheduling algorithm and the Job Scheduling...
Most of real-time task scheduling algorithm of embedded real-time systems are based on the worst time for the implementation of scheduling, which will be a waste of resources. Aiming at network system for real-time multimedia application requirements and the current scheduling algorithm lack of real-time performance(ability), this paper analyzes the typical dynamic EDF(Eealiest Deadline First) scheduling...
This paper introduces a novel micro-scheduling system based on Cell processor. The improved Lawler's algorithm is applied to solve the multi-task scheduling problems in Cell software system development process, and high efficiency is achieved. The multilayer decoupled software design model is adopted. The sample applications are explored and tests show that the system could satisfy many high performance...
MES has presented important status in enterprise information management by the implementation and application of manufacturing execution system (MES) in the composite component manufacturing workshop of one aerospace enterprise. It indicates MES has been the linking between the production planning system at the higher level and the shop floor at the lower level. The status of production planning and...
The difficulty in examination scheduling is to draw an examination timetable by taking a number of different constraints into account. This paper attempts to optimize two major constraints - to minimize the examination time conflicts and the number of consecutive examinations for a student in a day. Clustering method is applied by analyzing exam enrollments and then groups students into clusters so...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.