A PARTIAL MATCHING FRAMEWORK BASED ON SET EXCLUSION CRITERIA

2012 ◽  
Vol 26 (02) ◽  
pp. 1265003 ◽  
Author(s):  
WALDEMAR VILLAMAYOR-VENIALBO ◽  
HORACIO LEGAL-AYALA ◽  
EDSON J. R. JUSTINO ◽  
JACQUES FACON
Keyword(s):  
Set Theory ◽  
Feature Space ◽  
Identification System ◽  
Shape Similarity ◽  
Segmentation Method ◽  
Exclusion Criteria ◽  
Partial Matching ◽  
Dissimilarity Score ◽  
Image Transformations ◽  
Selection Of

This article introduces a partial matching framework, based on set theory criteria, for the measurement of shape similarity. The matching framework is described in an abstract way because the proposed scheme is independent of the selection of a segmentation method and feature space. This paradigm ensures the high adaptability of the algorithm and brings the implementer a wide control over the robustness, the ability to balance between selectivity and sensitivity, and the freedom to deal with more general and arbitrary image transformations required for some particular problem. A strategy to establish a descriptor set obtained from components segmented from the main shape is expounded, and two exclusion measure functions are formulated. Proofs are given to show that it is not required to match the entire descriptor sets to determine that two shapes are similar. The methodology provides a dissimilarity score that may be used for shape-based retrieval and object recognition; this is demonstrated applying the proposed approach in a cattle brand identification system.

The Skimmer Selection Based on Fuzzy Decision in Response to Oil Spill

2014 ◽  
Vol 597 ◽  
pp. 472-475
Author(s):  
Yin Dong Zhang ◽  
Yang Liu
Keyword(s):  
Set Theory ◽  
Oil Spill ◽  
Evaluation Index System ◽  
Fuzzy Synthetic Evaluation ◽  
Fuzzy Decision ◽  
Decision Method ◽  
Oil Spill Response ◽  
Evaluation Matrix ◽  
Selection Of ◽  
Synthetic Evaluation

The decision method based on Fuzzy Synthetic Evaluation is presented to achieve skimmer selection in oil spill response. Firstly, the evaluation index system of skimmer is determined. Secondly, the fuzzy set theory is introduced to achieve quantification of skimmer qualitative indexes and the evaluation matrix of skimmer is established by expert investigation. Then the alternative skimmers are evaluated by the method of Fuzzy Synthetic Evaluation, and the optimal selection of skimmer can be obtained.

Matching area selection of an underwater terrain navigation database with fuzzy multi-attribute decision making method

2018 ◽  
Vol 233 (4) ◽  
pp. 1133-1140 ◽  
Author(s):  
Lihui Wang ◽  
Desheng Sun ◽  
Qingya Liu ◽  
Le Yu
Keyword(s):  
Set Theory ◽  
Membership Functions ◽  
Vague Set ◽  
Topographic Factor ◽  
Vague Sets ◽  
Multi Attribute Decision Making ◽  
Matching Performance ◽  
Simulation Results ◽  
Terrain Matching ◽  
Selection Of

Selecting suitable underwater terrain navigation matching areas is a prerequisite for building an underwater terrain navigation database, which is important for vehicles operating underwater. By using information features to evaluate underwater terrain matching areas, vague sets are proposed to evaluate matching performance. Mathematical models of matching area features are built and topographic factor eigenvalues are obtained. With the topographic factor eigenvalues, fuzzy relationships between factor sets and judge sets are calculated. Vague set uses membership functions and non-membership functions to define the influence of topographic factor eigenvalues on matching suitability. Simulation results demonstrate that vague set theory can overcome the deficiency of single value in fuzzy sets and define the effect of geographic characteristics for matching performance. Based on vague set method, selection rules for terrain navigation matching areas in underwater terrain database are put forward.

scholarly journals Application of IoT-based Technology in Vaname Shrimp Cultivation: A Systematic Literature

2021 ◽  
pp. 96-106
Author(s):  
Fittrie Meyllianawaty Pratiwy ◽  
Adinda Kinasih Jacinda ◽  
Ayi Yustiati
Keyword(s):  
Water Quality ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Disease Monitoring ◽  
Exclusion Criteria ◽  
Use Of Technology ◽  
The People ◽  
Poor Water Quality ◽  
Shrimp Cultivation ◽  
Selection Of

Vaname shrimp is one type of shrimp that the people of Indonesia widely cultivate. However, there are several problems in the failure of vaname shrimp production, including poor water quality during the maintenance period, especially in ponds. Based on the selection of inclusion and exclusion criteria and quality assessment, it was found that the use of technology in cultivation activities will help streamline time, energy, and human resources so that decision-making can be made faster. The technology used is limited to water quality monitoring, disease monitoring, and EMS. The methods used to create IoT-based technology are hardware devices, software tools, function tests, and user tests. The smaller the error value, the more accurate the data obtained.

The Effect Of Fe Tablet Consumption On Hemoglobin (Hb) Increase In Pregnant Women: A Systematic Literature Review

2020 ◽  
Vol 6 (2) ◽  
pp. 8-13
Author(s):  
Admin midwiferia ◽  
Pratiwi Cahya Skania ◽  
Djaswadi Dasuki ◽  
Fitriana Siswi Utami
Keyword(s):  
Pregnant Women ◽  
Critical Appraisal ◽  
World Health ◽  
Exclusion Criteria ◽  
Iron Supplements ◽  
Level Increase ◽  
The World ◽  
Life Threatening ◽  
Health Organization ◽  
Selection Of

Anemia is still a problem in developing countries. The World Health Organization states that there are still more than 50 percent of women in the world suffering from anemia. anemia can cause life-threatening bleeding, miscarriage, low birth weight and premature birth. WHO defines anemia as a condition where the hemoglobin level is less than 11 mg / dL in the first and last trimester or 10.5 mg / dL in the second trimester or the hematocrit level is less than 37 percent. The study aim to determine the effect of Fe tablets consumption on hemoglobin (Hb) level increase in pregnant women and to find out the factors related to the compliance of pregnant women taking Fe tablets.  This Systematic Literature Publication and Science uses databases with the period 2008-2018. The selection of articles was based on the inclusion and exclusion criteria. The Appraisal study employed The Joanna Briggs Institute Critical Appraisal Tools. Taking Fe tablets is very influential in increasing levels of Hb in pregnant women who suffer from anemia. Effective iron supplements to reduce anemia in pregnancy. Support from family and closest people has an important role in increasing adherence to taking Fe tablets.

Least-Squares Halftoning Algorithm Based on Image Segmentation

2012 ◽  
Vol 263-266 ◽  
pp. 2082-2087
Author(s):  
Zi Fen He ◽  
Zhao Lin Zhan ◽  
Yin Hui Zhang
Keyword(s):  
Image Segmentation ◽  
Least Squares ◽  
Performance Measure ◽  
Distance Metrics ◽  
Digital Halftoning ◽  
Segmentation Method ◽  
Halftone Image ◽  
Printer Model ◽  
Halftone Images ◽  
Selection Of

This work presents a method based on the image content for digital halftoning using K-means clustering theory. Our algorithm applies to both a printer model and a model for the human visual system (HVS). The method strives to minimize the perceived error between the continuous original image and the halftone image. First, the gray image is partitioned into two, three and four regions using K-means image segmentation method, whose performance depends on the selection of distance metrics. Next, the statistics of average gray value of each clustering is calculated. Each clustering uses the least-squares model-based(Lsmb) algorithm to obtain halftone image. Finally, analysis and simulation results show that the proposed algorithm produces better gray-scale halftone image quality when we increase the number of clustering with a certain range. A performance measure for halftone images is used to evaluate our algorithm. The value of MSEv, WSNR and PSNR for two partitions is almost the same as that of the Lsmb algorithm, but for three and four partitions that the proposed algorithm achieves consistently better values of MSEv, WSNR and PSNR than the Lsmb algorithm.

scholarly journals Design of Embedded Automated Fingerprint Identification System Based on DSP

2011 ◽  
Vol 1 ◽  
pp. 97-101
Author(s):  
Hong Sun
Keyword(s):  
Embedded System ◽  
Fingerprint Identification ◽  
Identification System ◽  
Identification Algorithm ◽  
Research Topics ◽  
Hardware System ◽  
Serial Peripheral Interface ◽  
The Embedded System ◽  
Time And Space Complexity ◽  
Selection Of

The automated fingerprint identification algorithm has high time and space complexity in the embedded system. How to reduce the complexity is one of the hot research topics. The process of fingerprint identification and choice of algorithm platform are analyzed in the paper. Design of embedded fingerprint identification hardware system based on DSP, including the selection of microprocessor and fingerprint sensor and the communication between them, is introduced in detail. In additional, main software composition and flow are explained. At last, serial peripheral interface communication is simulated.

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