MyPalmVein: A palm vein-based low-cost mobile identification system for wide age range

Author(s):  
Jie Cao ◽  
Mingyang Xu ◽  
Weisong Shi ◽  
Zhifeng Yu ◽  
Abdulbaset Salim ◽  
...  
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 15922-15931 ◽  
Author(s):  
Peng Chen ◽  
Baojin Ding ◽  
Haixia Wang ◽  
Ronghua Liang ◽  
Yilong Zhang ◽  
...  

2012 ◽  
Vol 468-471 ◽  
pp. 920-923
Author(s):  
Ya Ping Bao ◽  
Li Liu ◽  
Yuan Wang ◽  
Qian Song

This paper introduced a fast fingerprint identification system based on TMS320VC5416 DSP chip and MBF200 solidity fingerprint sensor. It precipitates fingerprint identification device developing into the direction of miniaturization, embedded and automatic.It recommends fingerprint identification system hardware and software design and the main system processing flow, aim at fingerprint identification arithmetic, the influence of system operation speed is being researched at the same time. High-speed data acquisition system is been built in order to achieve a DSP fingerprint identification system with high efficiency and low cost.


2015 ◽  
Vol 785 ◽  
pp. 106-110
Author(s):  
M.N.M. Hussain ◽  
Ahmad Maliki Omar ◽  
Intan Rahayu Ibrahim ◽  
Kamarulazhar Daud

An identification system of multiple-input single-output (MISO) model is developed in controlling dsPIC microcontroller of positive output buck-boost (POBB) converters for module mismatch condition of photovoltaic (PV) system. In particular, the possibility of the scheme is to resolve the mismatch losses from the PV module either during shading or mismatch module occurrences. The MPPT algorithm is simplified by identification approach of indirect incorporated with a simple incremental direct method to form a combined direct and indirect (CoDId) algorithms. Irregular consumption of solar irradiation on a PV module shall step-up or step down the voltage regarding to the desired DC output voltage of POBB converter. This optimized algorithm will ensure that the PV module to kept at maximum power point (MPP), preventing power loss during module mismatch incident in PV module especially during partial shading condition. The simulation and laboratory results for PV module of polycrystalline Mitsubishi PV-AE125MF5N indicate that the proposed model and development of PV system architecture performs well, while the efficiency up to 97.7% at critical of low solar irradiance level. The controlling signal is based on low-cost embedded microcontroller of dsPIC30F Digital Signal Control (DSC).


2015 ◽  
Vol 14 (3-4) ◽  
Author(s):  
K Sadesh ◽  
PV Mohram ◽  
S Udhayakumar

<p>A part feeder intakes identical parts of arbitrary orientation and provides output in uniform orientation. A flexible feeder is capable of handling parts of several sizes. The two important modules of a flexible part feeder are (i) identification of part (ii) adjustments to accommodate the incoming part. This paper aims at first module i.e. developing a low cost part identification system using two proximity sensors and thereby eliminating the use of costlier vision systems. The proposed part identification system using two capacitive type proximity sensors was effective in identifying the size of incoming parts and the efficiency of the system was around 84.6%.</p>


2012 ◽  
Vol 19 (04) ◽  
pp. 446-448
Author(s):  
NABEEL DASTGIR ◽  
KAMRAN KHALID BUTT ◽  
NAUSHEEN NABEEL

Objective: To highlight, evaluate and analyze the complications associated with the treatment of fractures, joint dislocations andlimb deformities by bone setters in a suburban population of district Kasoor. Study Design: Prospective descriptive study. Setting: This studywas conducted at the Department of Trauma & Orthopaedics, Central Park. Medical College based at Bhatti International Teaching Hospital,Kasoor. Methods: This was a six month prospective study involving eighty six (86) consecutive patients presenting with complications related totreatment of their musculoskeletal injuries by bone setters. Results: Eighty six patients with complications associated with previous treatmentby bone setters were seen 62.7 (%) were male while 37.2 (%) were female. The age range from 4 months to 76 years (mean 34 years). Out ofeighty six patients, 15(17.4 %) patients had non union, 21 (24.4%) had malunion, 9 (10.4%) had avascular necrosis, 15(17.4%) had chronicosteomyelitis, 4(4.6%) patients had gangrene, 8(9.3%) had contractures, 2(2.3%) had persistent dislocations, 4 (4.6%) had Leg ulcers and8(9.3%) had wound infections. The major reasons for going to bone setters were the perceived low cost of treatment (45%), pressure and advicefrom the elders and friends (38%), fear of surgery (5%) and assumption of faster healing by the bone setters (12%).The methods used by thebone setters include splintage, bandage, plaster, stretching, massage and suturing. Conclusions: Bone setters create very difficult problemsfor orthopaedic surgeons. Many patients develop complications and loose their limbs due to inappropriate treatments. Awareness programesregarding inadequate treatment given by bone setters are necessary and their Patronization should be discouraged to avoid these types ofcomplications.


2020 ◽  
Vol 16 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Israa AL-Forati ◽  
Abdulmuttalib Rashid

This paper proposes a low-cost Light Emitting Diodes (LED) system with a novel arrangement that allows an indoor multi-robot localization. The proposed system uses only a matrix of low-cost LED installed uniformly on the ground of an environment and low-cost Light Dependent Resistor (LDR), each equipped on bottom of the robot for detection. The matrix of LEDs which are driven by a modified binary search algorithm are used as active beacons. The robot localizes itself based on the signals it receives from a group of neighbor LEDs. The minimum bounded circle algorithm is used to draw a virtual circle from the information collected from the neighbor LEDs and the center of this circle represents the robot’s location. The propose system is practically implemented on an environment with (16*16) matrix of LEDs. The experimental results show good performance in the localization process.


2019 ◽  
Vol 07 (08) ◽  
pp. E1027-E1030 ◽  
Author(s):  
Rodrigo S. Machado ◽  
Rafaela Richa ◽  
Fabiano Callegari ◽  
Giovana B. Souza ◽  
Luciano L. Tolentino ◽  
...  

Abstract Background and study aims Telecytopathology (TCP) may allow proper and timely evaluation of endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) specimens. The aim of this study was to evaluate the feasibility of TC through a multiplatform instant messenger smartphone application to evaluate specimens of EUS-FNA of pancreatic solid lesions. Patients and methods Twenty-three patients (14 male/9 female; median age: 56 yr.; age range: 33 – 86) with a solid pancreatic lesion were included. Exclusion criteria were as follows: age < 18 yr and predominantly cystic lesions. During each EUS-FNA, after each pass, the aspirated material was spread over a glass slide and was stained by the endoscopist. The glass slide was then reviewed on a microscope with a smartphone fitted in, and the most representative fields were captured and sent to the cytopathologist using WhatsApp Messenger. Results In initial evaluation using TCP rapid on-site evaluation (ROSE), adequate cellularity of the glass slide was detected in 16 of 23 patients (69.6 %). An initial diagnosis of malignancy (positive or suspicious) was possible in 14 of 23 patients (60.8 %). Conclusion The current study demonstrated the feasibility of a low-cost, Internet-based, telecytopathology system using WhatsApp Messenger to provide ROSE of EUS-FNA slides in patients with solid pancreatic lesions.


2014 ◽  
Vol 926-930 ◽  
pp. 2458-2461
Author(s):  
Qing Chen ◽  
Peng Ming Wang

It has been general recognized that the application of localization technology in home environment are beneficial to the development of health monitoring and mobile identification system development. As a kind of highly efficient sensor with obvious advantages such as low cost, the Bluetooth device has been widely used in our daily life. Research is carried out in an integrated environment based on mobile phone network signal measurement and Bluetooth link measurements in developing home localization systems. This paper presented a hybrid classification method, based on the combination of Bayesian network and supported vector machines, to support the development of Bluetooth-based room localization system. The proposed method mainly considers the dependency between features and non-linear overlapping of features between rooms. The results show that the prediction accuracy has been improved greatly in comparison to the traditional Naive Bayes classifier and the hidden Markov model used in previous studies.


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