Design, simulation and experiment of a novel mass detection system with active control magnetic

Author(s):  
Qijun Xiao ◽  
Chaoyin Liu ◽  
Shengyong Li ◽  
Hungsun Son ◽  
Jinjun Guo ◽  
...  
2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Jiawei Wang ◽  
Dong Tang ◽  
Songhua Wang ◽  
Zehong Zhu ◽  
Nan Li ◽  
...  

Structure and principle of the new leakage current particulate matter (PM) sensor are introduced and further study is performed on the PM sensor with the combination of numerical simulation and bench test. High voltage electrode, conductive shell, and heaters are all built-in. Based on the principle of Venturi tube and maze structure design, this sensor can detect transient PM concentrations. Internal flow field of the sensor and distribution condition of PM inside the sensor are analyzed through gas-solid two-phase flow numerical simulation. The experiment was also carried out on the whole sensor system (including mechanical and electronic circuit part) and the output signals were analyzed. The results of simulation and experiment reveal the possibility of PM concentration (mass) detection by the sensor.


Author(s):  
Takeshi Hara ◽  
Daisuke Fukuoka ◽  
Yuji Ikedo ◽  
Etsuo Takada ◽  
Hiroshi Fujita ◽  
...  

Author(s):  
Yinhao Ren ◽  
Rui Hou ◽  
Dehan Kong ◽  
Lars J. Grimm ◽  
Jeffrey R. Marks ◽  
...  

2011 ◽  
Vol 328-330 ◽  
pp. 2069-2073 ◽  
Author(s):  
Jie Zhang ◽  
Xiao Jie Liu ◽  
Yue Li

In this work, according to the nonlinear re-radiation characteristic of semiconductor PN junction, the nonlinear junction detection system for semiconductor junction targets based on second harmonic reception is designed on the basis of the analysis for nonlinear re-radiation characteristics of semiconductor junction targets, derivation of the system implementation scheme. By the system simulation and experiment, the preliminary test results show that the system can detect well the junction of nonlinear component with gain high enough for signal detection.


2014 ◽  
pp. 70-75
Author(s):  
Gabor Takacs ◽  
Bela Pataki

Breast cancer is one of the most common forms of cancer among women. Currently mammography is the most efficient method for early detection. A simple and fast mammographic mass detection system and two different methods for difficult case exclusion are presented in this paper. The mass detection system uses a modified version of a known algorithm for small masses and a new algorithm for large masses. The first difficult case filtering method is based on tissue density estimation, the second one on mass candidate count. The system was tested with 600 mammographic cases, each containing 4 images. Case-level performance was measured for malignant mass detection first without and then with difficult case exclusion.


2018 ◽  
Vol 7 (3.12) ◽  
pp. 601 ◽  
Author(s):  
K Rajendra Prasad ◽  
T Suneetha Rani ◽  
Suleman Basha

The identification of Mammogram is a very complicated application in Bio-medical field, it has complicated tissues. Nowadays breast cancer test, Bio-medical field often miss approximately 10% - 30% of tumors because of the ambiguous margins of lesions and visual weakness ensuing from long-time identification. For these reasons, numerous computer-aided recognition systems have been residential to aid Bio-medical in detecting mammographic lesions which may point out the existence of breast cancerthis revision presents a repeated Computer detection system that uses limited and isolated quality features for mammographic mass recognition. And system segments some adaptive square regions of interest (ROIs) for apprehensive areas. This revise also proposes two tricky feature withdrawal methods based on co-occurrence environment and visual compactness alteration to illustrate restricted quality uniqueness and the isolated photometric allocation of each ROI. As a final point, this revision uses stepwise linear discriminate examination to grade typical regions by selecting and evaluating the entity presentation of each feature. Consequences demonstrate that the projected system achievesacceptable recognition concert.


2015 ◽  
Vol 120 ◽  
pp. 116-119
Author(s):  
A. Brandenburg ◽  
E. Wappler ◽  
J. Kita ◽  
R. Moos

Author(s):  
Irfan Ullah Khan ◽  
David Wagg ◽  
Neil D. Sims

A new hybrid control methodology is presented for vibration suppression in flexible structures, where an active actuator is used to assist a nearby semi-active device to achieve a control performance close to that of a fully active system. The clipping phenomenon, typical of semi-active control, is reduced to a large extent by the proposed hybrid controller. The immersion and invariance methodology along with sliding mode control is used to create the hybrid controller. The result is that as the semi-active controller switches off in the hybrid controller, the active actuator injects the required energy into the system. A two degree of freedom system with cubic stiffness is used as an example system. Both simulation and experiment data are presented to demonstrate the usefulness of the proposed idea. The proposed hybrid controller shows robust results as compared to just using a semi-active controller.


2013 ◽  
Vol 40 (4) ◽  
pp. 041902 ◽  
Author(s):  
Guido van Schie ◽  
Matthew G. Wallis ◽  
Karin Leifland ◽  
Mats Danielsson ◽  
Nico Karssemeijer

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