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.
There exists various ways of modeling and forecasting photo-voltaic (PV) systems. These methods can be categorized, in board-way, under either definite equations models (white or clear-box) or heuristic data-driven artificial intelligence models (black-box). The two directions of modeling pose a number of drawbacks. To benefit from both worlds, this paper proposes a novel method where clear-box model...
Wireless Sensor Network's communication reliability is greatly influenced by the spatial related network challenges found in the physical space between communicating nodes. In this paper, ZigBee based sensor nodes are experimented under the influence of two distinct spatial related network challenges (i) poor deployed environment and (ii) human movements. WSN parameters obtained are used to develop...
In this paper, Adaptive Neuro-Fuzzy Interference System (ANFIS) technique is used to develop models to predict two conditions commonly found in a Wireless Sensor Network's deployment; these conditions are failure due to (i) poorly deployed environment and (ii) human movements. ANFIS models are trained using parameters obtained from actual ZigBee PRO nodes' Neighbour Table experimented under the influence...
This paper applies models in the extant literature that have been used to forecast operating cash flows to predict the cash flows of South African firms listed on the Johannesburg Stock Exchange. Out-of-sample performance is examined for each model and compared between them. The reported results show that some accrual terms, i.e. depreciation and changes in inventory do not enhance cash flow prediction...
Link prediction is an important issue in Social Network Analysis area. Most of the existing link prediction methods aim to find the missing links or to predict the future links mainly based on a static network, ignoring the evolution of the network over time. This paper proposes a link prediction method that can learn from network dynamics. Using machine learning techniques, the method models the...
In response to the worsen credibility of projected profit information, China's Securities Regulatory Commission declared the institution of earnings forecast would transfer from mandatory to voluntary in "The public offering of the securities of the company information disclosure content and format- Prospectus". Since voluntary disclosure is applied to profit forecasts of IPO companies in...
A self-consistent simulation method for the prediction of multipactor breakdown threshold in passive microwave components is presented in this paper. To model the motion of electrons during the entire multipactor process, three-dimensional particle models of primary and secondary electrons are established and a self-consistent algorithm is put forward to drive them. Moreover, the Coulomb repulsion...
Sideslip angle is the most widely used attributes for measuring the vehicle side slipping. Predicting the trend of sideslip angle in advance is of great significance for sideslipping precaution. In this research, small-vehicle model was selected, took steering wheel angle, yaw rate, lateral acceleration and four wheel velocities into account, and then applied neural network to build a prediction model...
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.