Design and implementation of SOLR-based information retrieval system for value-added service

Wang, Hongman; Wang, Hewei; Liu, Yu-zhang; Yang, Fangchun

doi:10.1016/s1005-8885(08)60154-5

Cited by 6 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first function is to expand the data set and improve the model performance. The second function is to enhance the noise and improve the network's robustness [16,17].…”

Section: Image Data Enhancementmentioning

confidence: 99%

Research on the Automatic Detection of Ship Targets Based on an Improved YOLO v5 Algorithm and Model Optimization

Sun,

Wu,

et al. 2024

Mathematics

View full text Add to dashboard Cite

Because of the vast ocean area and the large amount of high-resolution image data, ship detection and data processing have become more difficult. These difficulties can be solved using the artificial intelligence interpretation method. The efficient and accurate detection ability of ship target detection has been widely recognized with the increasing application of deep learning technology. It is widely used in the practice of ship target detection. Firstly, we set up a data set concerning ship targets by collecting and training a large number of images. Then, we improved the YOLO v5 algorithm. The feature specify module (FSM) is used in the improved algorithm. The improved YOLO v5 algorithm was applied to ship detection practice under the framework of Anaconda. Finally, the training results were optimized, and the false alarm rate was reduced. The detection rate was improved. According to the statistics pertaining to experimental results with other algorithm models, the improved YOLO v5 algorithm can effectively suppress conflicting information, and the detection ability of ship details is improved. This work has accumulated valuable experience for related follow-up research.

show abstract

“…The first function is to expand the data set and improve the model performance. The second function is to enhance the noise and improve the network's robustness [16,17].…”

Section: Image Data Enhancementmentioning

confidence: 99%

Research on the Automatic Detection of Ship Targets Based on an Improved YOLO v5 Algorithm and Model Optimization

Sun,

Wu,

et al. 2024

Mathematics

View full text Add to dashboard Cite

show abstract

“…Solr server practically performs real-time data stream indexing (events fixing in the index is performed each few seconds), and using various types of records in different cores (tables), in cloud mode, unlimited volumes of data indexed by the horizontal scaling and rich language of search requests are provided [34]. Furthermore, a quick search by most requests (a few milliseconds), faceting, queried data grouping and simple statistical analysis, as well as stored data clustering is provided.…”

Section: Conceptual Big Data Architecture For the Oil And Gas Industrymentioning

confidence: 99%

Conceptual Big Data Architecture for the Oil and Gas Industry

Alıguliyev¹,

İmamverdiyev²

2017

JPIT

View full text Add to dashboard Cite

“…DSP code generation is an important part of the algorithm transplantation [4].It can be Specifically divided into the following steps:…”

Section: Dsp Code Generationmentioning

confidence: 99%

DSP Transplantation of Motion Object Detection Algorithm Based on TMS320DM642

Zhang

Xie

Zhang

2014

AMM

View full text Add to dashboard Cite

To build motion object detection system based on DSP (Digital Signal Processor), the motion object detection algorithm by existing is transplanted to the DSP development environment based on adopted DSP hardware system.DSP migration process of the moving object detection algorithm is expounded. First of all, Real-time Workshop tool module in Simulink to establish CCS project file which can be identified by TMS320DM642, then testis processor in the loop (PIL) to verify its correctness. Create system model by Simulink instead of the traditional programming to create DSP project files shorten the development cycle and improve the enforceability of the program. Theresults show that the project files generated by the Simulink can meet the requirements in terms of complete moving object detection.

show abstract

Design and implementation of SOLR-based information retrieval system for value-added service

Cited by 6 publications

References 0 publications

Research on the Automatic Detection of Ship Targets Based on an Improved YOLO v5 Algorithm and Model Optimization

Research on the Automatic Detection of Ship Targets Based on an Improved YOLO v5 Algorithm and Model Optimization

Conceptual Big Data Architecture for the Oil and Gas Industry

DSP Transplantation of Motion Object Detection Algorithm Based on TMS320DM642

Contact Info

Product

Resources

About