scholarly journals PENGEMBANGAN SISTEM KLASIFIKASI UKURAN PAKAIAN MENGGUNAKAN METODE BODY MEASUREMENT DAN FUZZY LOGIC BERBASIS SENSOR KINECT

2017 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Alexander A. S. Gunawan ◽  
Erwin Erwin ◽  
Widodo Budiharto
Keyword(s):  
Fuzzy Logic ◽  
Body Measurement ◽  
False Match ◽  
Match Rate

Di dalam kehidupan sehari-hari, penentuan klasifikasi ukuran pakaian biasanya dilakukan dengan mencoba-coba pakaian terlebih dahulu sehingga membutuhkan waktu yang lebih lama. Dalam makalah ini, kita ingin membangun sistem untuk mengidentifikasi ukuran tubuh manusia dengan kamera. Selanjutnya dilakukan klasifikasi ukuran pakaian secara otomatis berdasarkan ukuran tubuh tersebut. Pendekatan yang diajukan untuk memecahkan hal ini adalah dengan metode body measurement dan Fuzzy Logic dengan menggunakan Kinect sebagai sensor. Metode body measurement digunakan untuk mengukur ukuran anggota tubuh manusia berdasarkan citra yang berasal dari sensor Kinect. Fuzzy Logic digunakan untuk menentukan klasifikasi ukuran pakaian berdasarkan hasil pengukuran yang diperoleh. Sistem pengukuran dak klasifikasi ini dapat mempermudah penentuan klasifikasi ukuran pakaian yang pas. Hasil dari penelitian ini menunjukkan bahwa sistem klasifikasi yang dibangun dapat menentukan ukuran pakaian dengan False Match Rate (FMR) sekitar 2.69%.

scholarly journals Combining deterministic and probabilistic matching to reduce data linkage errors in hospital administrative data

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Gareth Hagger-Johnson ◽  
Katie Harron ◽  
Rob Aldridge ◽  
Bo Fu ◽  
Efrosini Setakis ◽  
...  
Keyword(s):  
Data Linkage ◽  
Age Groups ◽  
Deterministic Algorithm ◽  
Sensitivity Analyses ◽  
Hospital Data ◽  
Standard Data ◽  
False Match ◽  
Match Rate ◽  
Episodes Of Care ◽  
Linkage Error

ABSTRACTObjectivesData linkage algorithms are used to link together multiple episodes of care belonging to the same patient. For example, the HESID algorithm is used to generate Hospital Episode Statistics (HES) in England. HESID is a deterministic algorithm, requiring identifiers to agree or disagree at each step. Data linkage errors occur when episodes belonging to two patients are incorrectly linked (a false match) or when episodes belonging to the same patient are not linked (a missed match). This typically occurs because patient identifiers (e.g. NHS number, postcode) contain errors or have missing data. We previously showed that HESID has a low false match rate (0.2%) but a high missed match rate (4.1%) when applied to paediatric intensive care data. This biased the true readmission rate, particularly for some patient groups including ethnic minorities. The aim of our study was to evaluate whether an additional step involving probabilistic matching would lower the missed match rate in HES without increasing the false matched rate. ApproachWe simulated three datasets having the same characteristics as HES, for three age groups expected to have different levels of postcode stability (at age 0/1, 5/6 and 18/19). We compared the deterministic algorithm to a probabilistic algorithm, and then to a deterministic algorithm with an additional probabilistic step. In sensitivity analyses, we evaluated the algorithms under different data quality scenarios. ResultsResults show that deterministic followed by probabilistic matching is the best solution for reducing missed matches, particularly in scenarios where errors in patient identifiers are more common. ConclusionData linkage algorithms need to be evaluated against good quality reference standard data sets. For hospital data in England, the Personal Demographics Service (PDS) could be used to evaluate our approach, because it contains many of the same patient identifiers used in HES. Reducing data linkage error will improve monitoring of hospital activity in England.

scholarly journals Fingerprint Matching and Non-Matching Analysis for Different Tolerance Rotation Degrees in Commercial Matching Algorithms

2010 ◽  
Vol 8 (02) ◽  
Author(s):  
A. J. Perez-Diaz ◽  
I. C. Arronte-Lopez
Keyword(s):  
Experimental Results ◽  
Fingerprint Matching ◽  
Threshold Values ◽  
Fingerprint Verification ◽  
Matching Methods ◽  
False Match ◽  
Match Rate ◽  
Biometric Systems ◽  
Regression Functions ◽  
Matching Score

Fingerprint verification is the most important step in the fingerprint-based biometric systems. The matching score is linked to the chance of identifying a person. Nowadays, two fingerprint matching methods are the most popular: the correlation-based method and the minutiae-based method. In this work, three biometric systems were evaluated: Neurotechnology Verifinger 6.0 Extended, Innovatrics IDKit SDK and Griaule Fingerprint SDK 2007. The evaluation was performed according to the experiments of the Fingerprint Verification Competition (FVC). The influence of the fingerprint rotation degrees on false match rate (FMR) and false non-match rate (FNMR) was evaluated. The results showed that the FMR values increase as rotation degrees increase too, meanwhile, the FNMR values decrease. Experimental results demonstrate that Verifinger SDK shows good performance on false non-match testing, with an FNMR mean of 7%, followed by IDKit SDK (6.71% ~ 13.66%) and Fingerprint SDK (50%). However, Fingerprint SDK demonstrates a better performance on false match testing, with an FMR mean of ~0%, followed by Verifinger SDK (7.62% - 9%) and IDKit SDK (above 28%). As result of the experiments, Verifinger SDK had, in general, the best performance. Subsequently, we calculated the regression functions to predict the behavior of FNMR and FMR for different threshold values with different rotation degrees.

Hysteresis in Categorization: Fuzzy Logic Makes Fuzzy Boundaries

2012 ◽  
Author(s):  
Thomas M. Crawford ◽  
Justin Fine ◽  
Donald Homa
Keyword(s):  
Fuzzy Logic

Continuous Estimation of CO2 Production during Exercise

1997 ◽  
Vol 36 (04/05) ◽  
pp. 368-371
Author(s):  
R. Soma ◽  
Y. Yamamoto
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Infusion Rate ◽  
Feedback System ◽  
Whole Body ◽  
Co2 Production ◽  
Cycle Exercise ◽  
Continuous Estimation ◽  
Breath Measurement ◽  
13Co2 Enrichment

Abstract.A new method was developed for continuous isotopic estimation of human whole body CO2 rate of appearance (Ra) during non-steady state exercise. The technique consisted of a breath-by-breath measurement of 13CO2 enrichment (E) and a real-time fuzzy logic feedback system which controlled NaH13CO3 infusion rate to achieve an isotopic steady state. Ra was estimated from the isotope infusion rate and body 13CO2 enrichment which was equal to E at the isotopic steady state. During a non-steady state incremental cycle exercise (5 w/min or 10 w/min), NaH13CO3 infusion rate was successfully increased by the action of feedback controller so as to keep E constant.

Modified fuzzy-based greedy routing protocol for VANETs

2020 ◽  
Vol 39 (6) ◽  
pp. 8357-8364
Author(s):  
Thompson Stephan ◽  
Ananthnarayan Rajappa ◽  
K.S. Sendhil Kumar ◽  
Shivang Gupta ◽  
Achyut Shankar ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Routing Protocol ◽  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Research Area ◽  
Transportation Systems ◽  
Delivery Ratio ◽  
Greedy Routing ◽  
Hoc Networks

Vehicular Ad Hoc Networks (VANETs) is the most growing research area in wireless communication and has been gaining significant attention over recent years due to its role in designing intelligent transportation systems. Wireless multi-hop forwarding in VANETs is challenging since the data has to be relayed as soon as possible through the intermediate vehicles from the source to destination. This paper proposes a modified fuzzy-based greedy routing protocol (MFGR) which is an enhanced version of fuzzy logic-based greedy routing protocol (FLGR). Our proposed protocol applies fuzzy logic for the selection of the next greedy forwarder to forward the data reliably towards the destination. Five parameters, namely distance, direction, speed, position, and trust have been used to evaluate the node’s stability using fuzzy logic. The simulation results demonstrate that the proposed MFGR scheme can achieve the best performance in terms of the highest packet delivery ratio (PDR) and minimizes the average number of hops among all protocols.

Design and Simulation of Smart Control System for Internet Traffic Distribution on Servers by Using Fuzzy Logic System

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Raid Daoud ◽  
Yaareb Al-Khashab
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Input Parameter ◽  
Traffic Density ◽  
The Internet ◽  
Linguistic Variables ◽  
Internet Service ◽  
Traffic Distribution ◽  
Smart Control ◽  
High Level

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.

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