A Detection Algorithm for Maneuvering IR Point Target and Its Performance Evaluation

2006 ◽  
Author(s):  
Feng-yun Zhu ◽  
Shi-yin Qin
Keyword(s):  
Performance Evaluation ◽  
Detection Algorithm ◽  
Point Target

Performance evaluation of a new distributed deadlock detection algorithm

1994 ◽  
Vol 23 (3) ◽  
pp. 21-26 ◽  
Author(s):  
Chim-fu Yeung ◽  
Sheung-lun Hung ◽  
Kam-yiu Lam
Keyword(s):  
Performance Evaluation ◽  
Detection Algorithm ◽  
Deadlock Detection

BFX: DIAGNOSING CONFLICTING REQUIREMENTS IN CONSTRAINT-BASED RECOMMENDATION

2011 ◽  
Vol 20 (02) ◽  
pp. 297-312 ◽  
Author(s):  
MONIKA SCHUBERT ◽  
ALEXANDER FELFERNIG
Keyword(s):  
Performance Evaluation ◽  
Structural Properties ◽  
Detection Algorithm ◽  
Conflict Detection ◽  
Comparative Performance ◽  
Detection Algorithms ◽  
Minimal Sets ◽  
The Given

When interacting with constraint-based recommender applications, users describe their preferences with the goal of identifying the products that fit their wishes and needs. In such a scenario, users are repeatedly adapting and changing their requirements. As a consequence, situations occur where none of the products completely fulfils the given set of requirements and users need a support in terms of an indicator of minimal sets of requirements that need to be changed in order to be able to find a recommendation. The identification of such minimal sets relies heavily on the existence of (minimal) conflict sets. In this paper we introduce BFX (Boosted FastXplain), a conflict detection algorithm which exploits the basic structural properties of constraint-based recommendation problems. BFX shows a significantly better performance compared to existing conflict detection algorithms. In order to demonstrate the performance of BFX, we report the results of a comparative performance evaluation.

Development of Weft Straightener Using Fabric Pattern Detection Algorithm and Performance Evaluation

2017 ◽  
Vol 22 (1) ◽  
pp. 70-79
Author(s):  
Jae-Yong Lee ◽  
Yun-Soo Chung ◽  
Dae-Sub Kim ◽  
Gyu-Hyun Bae ◽  
Jae-Sung Bae ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Detection Algorithm ◽  
Pattern Detection ◽  
And Performance

Parallelization and Performance Evaluation of an Edge Detection Algorithm on a Streaming Multi-Core Engine

2009 ◽  
Vol 2 (4) ◽  
pp. 81-91 ◽  
Author(s):  
Hashir Karim Kidwai ◽  
Fadi N. Sibai ◽  
Tamer Rabie
Keyword(s):  
Performance Evaluation ◽  
Edge Detection ◽  
High Performance ◽  
Detection Algorithm ◽  
Cell Processor ◽  
Edge Detector ◽  
Processing Application ◽  
Image Processing Application ◽  
Host Processor ◽  
And Performance

In the world of multi-core processors, the STI Cell Broadband Engine (BE) stands out as a heterogeneous 9-core processor with a PowerPC host processor (PPE) and 8 synergic processor engines (SPEs). The Cell BE architecture is designed to improve upon conventional processors in graphics and related areas by integrating 8 computation engines each with multiple execution units and large register sets to achieve a high performance per area return. In this paper, we discuss the parallelization, implementation and performance evaluation of an edge detection image processing application based on the Roberts edge detector on the Cell BE. The authors report the edge detection performance measured on a computer with one Cell processor and with varying numbers of synergic processor engines enabled. These results are compared to the results obtained on the Cell’s single PPE with all 8 SPEs disabled. The results indicate that edge detection performs 10 times faster on the Cell BE than on modern RISC processors.

An H.264/AVC Error Detection Algorithm Based on Syntax Analysis

2011 ◽  
pp. 215-234
Author(s):  
Luca Superiori ◽  
Olivia Nemethova ◽  
Markus Rupp
Keyword(s):  
Performance Evaluation ◽  
Error Detection ◽  
Detection Algorithm ◽  
Video Sequences ◽  
Video Streams ◽  
Syntax Analysis ◽  
Standard Methods ◽  
Free Data ◽  
Error Probabilities ◽  
Low Rate

In this chapter, we present the possibility of detecting errors in H.264/AVC encoded video streams. Standard methods usually discard the damaged received packet. Since they can still contain valid information, the localization of the corrupted information elements prevents discarding of the error-free data. The proposed error detection method exploits the set of entropy coded words as well as range and significance of the H.264/AVC information elements. The performance evaluation of the presented technique is performed for various bit error probabilities. The results are compared to the typical packet discard approach. Particular focus is given on low-rate video sequences.

Sign in / Sign up

Export Citation Format

Share Document