Graphical System Input for Design

2020 ◽  
pp. 531-560
Author(s):  
P. H. M. Li ◽  
J. O. Gray
2008 ◽  
Vol 18 (1) ◽  
pp. 19-24
Author(s):  
Erin C. Schafer

Children who use cochlear implants experience significant difficulty hearing speech in the presence of background noise, such as in the classroom. To address these difficulties, audiologists often recommend frequency-modulated (FM) systems for children with cochlear implants. The purpose of this article is to examine current empirical research in the area of FM systems and cochlear implants. Discussion topics will include selecting the optimal type of FM receiver, benefits of binaural FM-system input, importance of DAI receiver-gain settings, and effects of speech-processor programming on speech recognition. FM systems significantly improve the signal-to-noise ratio at the child's ear through the use of three types of FM receivers: mounted speakers, desktop speakers, or direct-audio input (DAI). This discussion will aid audiologists in making evidence-based recommendations for children using cochlear implants and FM systems.


2018 ◽  
Author(s):  
Rizki Eka Putri ◽  
Denny Darlis

This article was under review for ICELTICS 2018 -- In the medical world there is still service dissatisfaction caused by lack of blood type testing facility. If the number of tested blood arise, a lot of problems will occur so that electronic devices are needed to determine the blood type accurately and in short time. In this research we implemented an Artificial Neural Network on Xilinx Spartan 3S1000 Field Programable Gate Array using XSA-3S Board to identify the blood type. This research uses blood sample image as system input. VHSIC Hardware Discription Language is the language to describe the algorithm. The algorithm used is feed-forward propagation of backpropagation neural network. There are 3 layers used in design, they are input, hidden1, and output. At hidden1layer has two neurons. In this study the accuracy of detection obtained are 92%, 92%, 92%, 90% and 86% for 32x32, 48x48, 64x64, 80x80, and 96x96 pixel blood image resolution, respectively.


Author(s):  
A.G. Filipova ◽  
A.V. Vysotskaya

The article presents the results of mathematical experiments with the system «Social potential of childhood in the Russian regions». In the structure of system divided into three subsystems – the «Reproduction of children in the region», «Children’s health» and «Education of children», for each defined its target factor (output parameter). The groups of infrastructure factors (education, health, culture and sport, transport), socio-economic, territorial-settlement, demographic and en-vironmental factors are designated as the factors that control the system (input parameters). The aim of the study is to build a model îf «Social potential of childhood in the Russian regions», as well as to conduct experiments to find the optimal ratio of the values of target and control factors. Three waves of experiments were conducted. The first wave is related to the analysis of the dynam-ics of indicators for 6 years. The second – with the selection of optimal values of control factors at fixed ideal values of target factors. The third wave allowed us to calculate the values of the target factors based on the selected optimal values of the control factors of the previous wave.


2021 ◽  
Vol 11 (4) ◽  
pp. 1933
Author(s):  
Hiroomi Hikawa ◽  
Yuta Ichikawa ◽  
Hidetaka Ito ◽  
Yutaka Maeda

In this paper, a real-time dynamic hand gesture recognition system with gesture spotting function is proposed. In the proposed system, input video frames are converted to feature vectors, and they are used to form a posture sequence vector that represents the input gesture. Then, gesture identification and gesture spotting are carried out in the self-organizing map (SOM)-Hebb classifier. The gesture spotting function detects the end of the gesture by using the vector distance between the posture sequence vector and the winner neuron’s weight vector. The proposed gesture recognition method was tested by simulation and real-time gesture recognition experiment. Results revealed that the system could recognize nine types of gesture with an accuracy of 96.6%, and it successfully outputted the recognition result at the end of gesture using the spotting result.


Automatica ◽  
2021 ◽  
Vol 127 ◽  
pp. 109538
Author(s):  
Shumon Koga ◽  
Iasson Karafyllis ◽  
Miroslav Krstic

1985 ◽  
Vol 249 (2) ◽  
pp. R159-R165 ◽  
Author(s):  
G. L. Florant ◽  
A. K. Lawrence ◽  
K. Williams ◽  
W. A. Bauman

Fasting plasma insulin (PI) and glucose (PG) concentrations were measured throughout the body weight cycle of marmots. Animals gained weight during summer, and in late fall body weight peaked, after which they ceased feeding. Each month euthermic animals were injected intra-arterially with either dextrose (500 mg/kg) or porcine insulin (0.1 U/kg), and blood samples were collected over the subsequent 2 h. During weight gain fasting PI concentration and pancreatic B-cell response to injected dextrose increased markedly. Maximal insulin release to a dextrose challenge was measured during peak body weight or when body weight initially began to decline. The PG concentration after exogenous insulin administration was slight (less than 10%) in the fall but increased approximately 25% in the spring after marmots lost weight. Basal PG levels were not significantly different throughout the year. Basal fasting PI concentrations were significantly higher during the fall (P less than 0.01). It is suggested that in the fall, when marmots are obese, hyperinsulinemia and peripheral insulin resistance appear. Furthermore, in two animals with an increase in body weight of approximately 30% or less over the summer, peripheral resistance was demonstrable, albeit not as marked as in animals that appropriately doubled their body weights when given food ad libitum. Thus we hypothesize that factors other than adiposity, i.e., food intake, central nervous system input to the pancreatic B-cell, and/or changes in B-cell sensitivity to PG, may contribute to the observed peripheral insulin resistance and may be involved in body weight regulation.


2001 ◽  
Vol 27 (7) ◽  
pp. 867-876 ◽  
Author(s):  
Pankajakshan Thadathil ◽  
Aravind K Ghosh ◽  
J.S Sarupria ◽  
V.V Gopalakrishna

2012 ◽  
Vol 182-183 ◽  
pp. 1060-1064
Author(s):  
Jing Zeng ◽  
Jun Wang ◽  
Jin Yu Guo

A mutli-model modeling method based on local model is given. The modeling idea is firstly to find some data matching with the current working point from vast historical system input-output datasets, and in this paper, we give a new method of choose data information based on similarity of vector which improve the accuracy of data greatly. Secondly to choose the weight and optimum bandwidth then develop a local model using local polynomial fitting algorithm. With the change of working points, multiple local models are built. The effectiveness of the proposed method is demonstrated by simulation results.


2020 ◽  
Vol 20 ◽  
pp. 60-71
Author(s):  
Alessandro Benati

In this paper, the role and nature of language and language development will be discussed. Research and theory in second language acquisition has demonstrated that (i) language is an abstract, implicit and complex system. Input (ii) plays a key role in language development; despite the fact that some knowledge of language is innate (iii). Overall, language development (iv) is ordered and stage-like and instruction (v) has a limited role. Theoretical and pedagogical implications will be highlighted.


2013 ◽  
Vol 690-693 ◽  
pp. 2514-2518
Author(s):  
Juan Cong ◽  
Yun Wang ◽  
Wei Na Yu

Through the research on the change of system input and output energy in time-varying speed cutting, the influence of variable-speed waveforms on vibration suppression effect in time-varying speed cutting is quantitatively analyzed in this paper. A conclusion can be drawn that sine wave speed variation is better than triangle wave speed variation in vibration suppression.


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