The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Many noninvasive continuous blood pressure measurements using photoplethysmography (PPG) are still inadequate in terms of accuracy and stability, which hinders the practical application of this method. This paper proposes a model based on ensemble method for BP estimation using PPG. A number of blood pressure calculation base-models is built on the same training data. These base-models are used to...
Various researches on criminology provides us with a key piece of information about criminal psychology that, a criminal doesn't hover around unknown territory rather they commit crimes when opportunity provides in a concentrated or familiar area i.e. hotspots. So, a crime predicting model can be simulated using crime pattern theory which can analyze verified past crime data and predict future criminal...
Flood prediction modelling is one of the most popular research areas among researcher around the world. This is due to negative impacts to the economy and society that were caused by flood. The dynamic behaviours of river water level that causing flood were commonly modelled by researcher either by equations using physic theories or by black-box model. River water level prediction model that could...
Robotic arms are very powerful machines that can be used in many various applications in industry. So that, a suitable dynamic model is derived to verify that performs the tasks. But, dynamic equation is an important issue due to its complexity. Thus, an alternative model can be derived for the robotic arms. This paper is proposed Extreme Learning Machine (ELM) model for the angular acceleration of...
Artificial neural networks could become the technological driver that replaces Moore's law, boosting computers' utlity through a process akin to automatic programming--although physics and computer architecture would also factor in.
Artificial neural network (ANN) are a family of models which are having inspiration from the biological neural network. The goal of an ANN system is to develop algorithms that requires machines to perform cognitive task in an efficient manner using the computing power of the Computer Systems. A variety of problems are solved by various types of ANN systems. In ANN system, the problems that are having...
Implementation of online optimization and control of complex processes near impossible in given time frame owing to large computational time of the models. Fast and efficient surrogate models such as ANN offer a credible solution to this problem. Optimization of the complex model can proceed with a data based surrogate model, thereby making it much faster than the conventional run. However, the process...
This research explores the dynamic relation between price, temperature and humidity; and its effect on electricity consumption of electric appliances. It develops prediction models for electricity consumption based on these variables. It is important that reliable methods are employed in modelling and prediction of energy needs otherwise inappropriate models and poor forecasts may occur. In this research,...
Accurate high frequency modeling for active devices which includes microwave diodes and transistors are absolutely necessary for computer-aided radio frequency integrated circuit (RFIC) design. This paper aims to provide an overview on small signal and large signal for field effect transistor (FETs) based on the combination of the conventional equivalent circuit modeling and artificial neural network...
Validation of high-speed interface performance in a given design space from a Signal Integrity (SI) perspective requires Bit Error Rate (BER) computation. Eye Height (EH) and Eye Width (EW) are used to determine the quality of an interface for a given set of design parameters and frequency of operation. EH, EW and BER estimation requires Time Domain (TD) simulation of complex channel models over billions...
Vendor assessment is essential to banks for making an efficient service plan. This paper develops an evaluation fuzzy method based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and artificial neural network (ANN) for Vendor and performance evaluation in a fuzzy environment where the vagueness and subjectivity are handled with linguistic value parameterized by triangular...
This paper presents a new design perception for slave controller in Cascade process control System. It ensures enhanced robustness by minimizing the physical presence of slave controller in the cascaded loops. The desired outputs are trained by ANN using BPN. A Level and flow measurement system is taken as an experimental set up. The level controller is the master controller and the flow is the slave...
This paper presents a new design perception for slave controller in Cascade process control System. It ensures enhanced robustness by minimizing the physical presence of slave controller in the cascaded loops. The desired outputs are trained by ANN using BPN. A Level and flow measurement system is taken as an experimental set up. The level controller is the master controller and the flow is the slave...
This paper aims at improving the braking ability and reliability of disc brakes. Based on some braking tests of the disc brake, an intelligent forecasting model for its tribological properties was established firstly by the artificial neural network (ANN) technology. Its input layer contains three braking cells: braking pressure, sliding velocity and surface temperature. And its output layer contains...
This paper presents the development of paraplegic joint model using Artificial Neural Network (ANN). A series of experiments using Functional Electrical Stimulation (FES) with different stimulation frequencies, pulse width and pulse duration to investigate the impact on the leg swing angle is conducted. The data obtained is used to develop the paraplegic leg joint model. 74810 training data and 33602...
There are several QoS-based approaches for web service selection. Every approach may use different QoS model to rank web services, which make clients confused. In reality, users want to choose most used web services with better trade-off between quality and cost. So referring to Alexa, this paper proposes a framework for collecting QoS and cost of web services and counting visits and introduces VI...
The number of engineering applications using artificial neural network has increased considerably in the last few years. However, the ANN application in photovoltaic systems is very limited. This paper presents the SPV (solar photovoltaic) system assessment based on ANN and VHDL. Experimental database of meteorological parameters like temperature and daily global solar irradiance for various Indian...
The goal of this research is to identify the significant factors affecting the firm performance and estimate the system behavior in different operating conditions. By determining the statistical relations of the productivity and effectiveness of the firm with these factors, a decision-making framework can be provided to improve the system performance within the competitive strategy of the whole supply...
Dynamic Difficulty Adjustment (DDA) can adjust game difficulty level dynamically; so it generates a tailor-made experience for each gamer. If a game is too easy, the gamer will feel bored; if it is too hard, the gamer will become frustrated. DDA is a mechanism to overcome this dilemma and augment the entertainment of a game by dynamically adjusting the parameters, scenarios and behaviors in the game...
To achieve better performance with various load and system parameters in controlling a current-source rectifier (CSR) with less computing cost, a neural-network-based implementation of three-logic space-vector modulation (SVM) is proposed in this research, and the random weight change (RWC)algorithm is employed for on-line parameter tuning. The scheme has been simulated in SABER simulation software...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.