Research on Parking Path Planing Based on A-Star Algorithm

The issue of finding available parking spaces and mitigating conges-tion during parking is a persistent challenge for numerous car owners in urban areas.In this paper,we propose a novel method based on the A-star algorithm to calculate the optimal parking path to address this issue.We integrate a road impedance function into the conventional A-star algorithm to compute path duration and adopt a fusion function composed of path length and duration as the weight matrix for the A-star algorithm to achieve optimal path planning.Furthermore,we conduct simulations using parking lot modeling to validate the effectiveness of our approach,which can provide car drivers with a reliable optimal parking navigation route,reduce their parking costs,and enhance their parking experience.

Blockchain-Based Trusted Electronic Records Preservation in Cloud Storage

Cloud storage represents the trend of intensive,scale and specialization of information technology,which has changed the technical architecture and implementation method of electronic records management.Moreover,it will provide a convenient way to generate more advanced and efficient management of the electronic data records.However,in cloud storage environment,it is difficult to guarantee the trustworthiness of electronic records,which results in a series of severe challenges to electronic records management.Starting from the definition and specification of electronic records,this paper firstly analyzes the requirements of the trustworthiness in cloud storage during their long-term preservation according to the information security theory and subdivides the trustworthiness into the authenticity,integrity,usability,and reliability of electronic records in cloud storage.Moreover,this paper proposes the technology framework of preservation for trusted electronic records.Also,the technology of blockchain,proofs of retrievability,the open archival information system model and erasure code are adopted to protect these four security attributes,to guarantee the credibility of the electronic record.

An Ensemble Kalman Filter Approach Based on Level Set Parameterization for Acoustic Source Identification Using Multiple Frequency Information

In this paper,a reconstruction problem of the spatial dependent acoustic source from multiple frequency data is discussed.Suppose that the source function is supported on a bounded domain and the piecewise constant intensities of the source are known on the support.We characterize unknown domain by the level set technique.And the level set function can be modeled by a Hamilton-Jacobi system.We use the ensemble Kalman filter approach to analyze the system state.This method can avoid to deal with the nonlinearity directly and reduce the computation complexity.In addition,the algorithm can achieve the stable state quickly with the Hamilton-Jacobi system.From some numerical examples,we show these advantages and verify the feasibility and effectiveness.