Multimodal Hand and Foot Gesture Interaction for Handheld Devices

Section: Methods Applied In the Thesismentioning

confidence: 99%

Heading Homing Simulation System Based on Image Intelligent Recognition

Zhao

Eslami

2016

“…The theoretical simulation of the research is based on the charging and discharging test of capacitor [6]. SCB is the heavily doped polysilicon and is located on the substrate of silicon dioxide with the thickness of 2 m, width of 380 m, length of 100 m and SCB resistance value at normal temperature of 1.…”

Section: Equivalent Circuit Testmentioning

confidence: 99%

Voltage-Current Characteristic Test for Bridge Body of Ignition Device of Semiconductor Bridge

Liu¹,

Lin²,

Han³

2016

IntroductionUnder electric excitation, semiconductor bridge (SCB) as energy conversion element of initiating explosive device undergoes the various complicated processes such as normal temperature, melting, vaporization, plasma, etc. through heating action [1]. In the past dozen years, some preliminary researches on this change of SCB were conducted to obtain some experimental rules and theoretical knowledge for current and voltage of SCB. The most typical calculation method is the research of Sandia N L who conducts simulation calculation [2] for the relation of SCB resistance dependent upon absorbed energy based on substantial tests; the substantial hypotheses of test results are used for a great number of parameter fitting to obtain the results. In the domestic, the changing characteristics for thermal resistance of semiconductor with physical properties of SCB are adopted to study the relation of bridge resistance dependent upon the absorbed energy and provide the quantitative relation [3].The consistency for ignition of SCB can make the initiating explosive device of SCB serve as the primer for ignition system of artillery [4]. The action time of igniter can exert great influence on the performance of relevant military equipment, and the design for ignition circuit of SCB has important significance on rapid igniting of SCB chip. During electric input loading of SCB, the root cause for change of impedance is the change of SCB temperature; the loaded energy can result in change of SCB temperature which leads to the resistance change and according to the Ohm's law, the resistance change can lead to change of current and voltage. In case the relation between SCB temperature and resistance is obtained, the current and voltage relation of SCB and calculation of the initiation process can become relatively simple without large quantity of parameters in mathematics and the physical significance also become clear.Based on analysis of SCB circuit, the experimental analysis is conducted in three circumstances which are respectively I-V characteristic curve for serial SCB semiconductor, I-V characteristic curve for parallel SCB semiconductor and experimental contrast analysis in the paper.

“…With the development of computer and intelligent theory, some qualitative and quantitative evaluation models of training and teaching quality of medical practitioners [3,4] have appeared, of which, neural network has good ability of nonlinear mapping and learning and is widely applied in the evaluation fields of teaching quality. However, neural network is a machine learning method based on empirical risk minimization principle, which requires a large amount of samples.…”

Section: Introductionmentioning

confidence: 99%

Education Training and Assessment for Medical Staff In Network Information Sharing Model

Wei¹,

Guo²,

Tao³

et al. 2016

In order to improve the evaluation precision of education and training quality, a kind of quality evaluation model of combined medical education and training course (AHPPCASV) is put forward, which is IntroductionWith the scales amplification of medical institutions in our country, the service quality evaluation and monitoring of health service practitioners is the key link of teaching management and center of training and teaching management for medical practitioners. Training for medical practitioners as a public course is particularly important. Scientific evaluation of training quality of medical practitioners is conducive to improving teaching quality and finding problems in the teaching process. Thus, it is an important research course [1] in current educational reform of colleges and universities to establish training evaluation model which is the most suitable for medical practitioner.The training teaching quality of traditional medical practitioners is evaluated by experts and the evaluation results are not scientific, but subjective and empirical, which can not accurately reflect the true level [2] of teachers. With the development of computer and intelligent theory, some qualitative and quantitative evaluation models of training and teaching quality of medical practitioners [3,4] have appeared, of which, neural network has good ability of nonlinear mapping and learning and is widely applied in the evaluation fields of teaching quality. However, neural network is a machine learning method based on empirical risk minimization principle, which requires a large amount of samples. If the sample size is limited, the reliability of evaluation result is relatively poor and incredible, so a large mount of teaching data will be required, which results in increasing [5] of evaluation cost. Support vector machine (SVM) is a new type of non-linear machine learning algorithm based on small samples, which preferably overcomes the defects requiring a large amount of samples of neural network and improves the evaluation precision of the teaching quality. However, in the evaluation process of teaching quality, there are two problems that need to be solved for SVM: one is the choice of evaluation index; the other is parameter optimization [6] of SVM.In order to improve the evaluation precision of teaching and training quality of medical practitioners, a kind of quality evaluation model (AHPPCASVM) of medical practitioners is put forward, which is a combination of analytic hierarchy process (AHP), principal component analysis (PCA) and improved SVM. The simulation results show that compared with other evaluation models of teaching quality, AHPPCASVM has improved the evaluation precision of training and teaching quality of medical practitioner and it is a useful kind of evaluation model of teaching quality.