Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
The amount of computer viruses has grown significantly and antivirus software becomes inefficient when analyzing new threats. At the same time, artificial intelligence has become more cost effective to implement in projects due to the low amount of hardware costs. This paper is intended to document the process of modelling data gathered from the programs that are running on a computer with a Windows...
The 3D object recognition stands a very important role in the process of computer vision. The recognition of objects is fundamental step in the design of more automated systems. The need for these systems is now high. Therefore, the 3D object recognition has a high impact. The most frequently used methods are based on neural networks (NNs), or, the derivation of NNs. The NNs approaches have high impact...
IoT (Internet of Things) is acommunication network that connects physical or things to each other or with a group all together. The use is widely popular nowadays and its usage has expanded into interesting subjects. Especially, it is getting more popular to research in cross subjects such as mixing smart systems with computer sciences and engineering applications together. Object detection is one...
Since collective spin systems store digital information as their magnetization direction, development of nonvolatile memories for computers with the von Neumann architecture is one of the mainstream outlets of spintronics research pursued in the last several decades.
In this paper, a simple artificial neural network power system stabilizer (SANN-PSS) is implemented using a reduced order power system. Knowledge of the high bus voltage of a transformer is employed to alter the Heffron-Phillips' method. Furthermore, a reduction technique is applied to change the power system's sequence, and increase the power system's stability by adjusting the controller's parameters...
The ability to adjust itself to users' profile is imperative in modern system, given that many people interact with a lot of information in different ways. The creation of adaptive systems is a complex domain that requires very specific methods and the integration of several intelligent techniques, from an intelligent systems development perspective. Designing an adaptive system requires planning...
Artificial neural network (ANN) is an important branch of artificial intelligence field. This paper reviews the classic models and implementation methods of ANN, and analyzes the key issues of implementation based on FPGA. Considering the demand of intelligent information processing in aviation field, this paper proposes an application assumption that combines traditional airborne computer systems...
We discuss the future of massively parallel computing from a fundamental architecture standpoint. Our central thesis is that various versions of Moore's Laws will all unavoidably break down over the next two to three decades, due to fundamental limitations imposed by the laws of physics (especially quantum mechanics). Therefore, the end to scaling-up von Neumann-based architectures by adding more...
In this paper a method to develop artificial intuition is suggested. In an attempt to emulate the trial and error, searching is combined with a random choice. It is used in initial steps of the search, which provides reaching the goal in fewer steps, when compared to the case without the random choice. An example game is derived to illustrate the proposed searching technique.
Economy trend (eco-trend) is the most important factor for developing the country. Unfortunately, various inevitable and unpredictable factor causes an effect on economic trend while the Natural Disaster period happened. The fluctuation of the trend is then occurred and make it more difficult to forecast. According to this research, the analysing method of the eco-trends prediction was represented...
Accurate prosodic phrase prediction can improve the naturalness of speech synthesis. Predicting the prosodic phrase can be regarded as a sequence labeling problem and the Conditional Random Field (CRF) is typically used to solve it. Mongolian is an agglutinative language, in which massive words can be formed by concatenating these stems and suffixes. This character makes it difficult to build a Mongolian...
This paper presents a comparison of Electroencephalogram (EEG) signals classification for Brain Computer-Interfaces (BCI). At present, it is a challenging task to extract the meaningful EEG signal patterns from a large volume of poor quality data and simultaneously with the presence of artifacts noises. Selection of the effective classification technique of the EEG signals at classification stage...
This paper describes the technology of artificial neural network application to solve the problem of anomalous network activity diagnosis. We offer methods for network activity data collection and training set formation. We select network packets parameters whose values together with network activity characteristics constitute the sample for artificial neural network training. We offer artificial...
The article describes the automated informational and analytical system of a decision support in neural network diagnosis of diseases. The operation of the system is based on multi-level method of accounting management, analysis, generalization and exchange of experience between hierarchically organized geographically distributed medical centers. The Selecting of necessary settings for relearning...
The item-based collaborative filtering (CF) is one of the most successful approaches utilized by the recommendation systems. The basic concept behind it is to recommend those items to users which are similar to other items that these users have been interested in recently. This paper proposes a hybrid method that integrates user trust relations with item-based CF. This is achieved by incorporating...
In this paper we present an implementation of and a proposed algorithm for an easily expandable hardware Artificial Neural Network (ANN) capable of learning using inexpensive, off-the-shelf microprocessors. While significant work has been done in hardware ANN implementations, this research offers a unique, general use, unspecialized, and inexpensive model with a flexible architecture representation...
Due to the huge increase in the size of the data it becomes troublesome to perform efficient analysis using the current traditional techniques. Big data put forward a lot of challenges due to its several characteristics like volume, velocity, variety, variability, value and complexity. Today there is not only a necessity for efficient data mining techniques to process large volume of data but in addition...
Red blood cell classification and counting plays a very important role in detecting diseases like iron deficiency anemia, vitamin B12 deficiency anemia etc. In this research we intend to develop a standalone application that can classify the red blood cells into four abnormal types namely elliptocytes, echinocytes, tear drop cells and macrocytes. We will also provide the total red blood cell count...
In this study, an automated system using a novel method and artificial neural networks (ANN) to assess bone age of children from hand radiographs is proposed. Bone age is estimated accurately by utilizing distal radius, ulna and their epiphysis for skeletal maturity assessment. With the system designed using the method and ANN, bone age assessment become possible without any guidance of radiologists...
In work, a real-time speed limit warning assistant system for drivers is presented. The proposed approach is able to produce optical and acoustic warnings by detecting speed limit signs simply processing captured images via a camera. The system developed can process by up to 7 frame per second on Raspberry Pi 2 single board computer.
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.