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.
Light detection and ranging (LIDAR) is a technology of remote imaging technologies. Currently, it is the most important technology for accruing elevation points with a high density in the form of digital elevation model (DEM) construction. However, the high-density data leads to time and memory consumption problems during data processing. In this paper, we depend on radial basis function (RBF) with...
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.
The Gomoku board game is a longstanding challenge for artificial intelligence research. With the development of deep learning, move prediction can help to promote the intelligence of board game agents as proven in AlphaGo. Following this idea, we train deep convolutional neural networks by supervised learning to predict the moves made by expert Gomoku players from RenjuNet dataset. We put forward...
The concept of embedded systems is considered. The advantages of developed embedded systems compared to general purpose are emphasized. The possible ways to develop microcontroller-based embedded systems design tools are analyzed. The features provided by MCU manufacturers are touched upon. The authors investigate the case of development of equipment for education, research and design of embedded...
We have investigated the effect of normalizing Japanese orthographical variants into a uniform orthography on statistical machine translation (SMT) between Japanese and English. In Japanese, 10% of words have reportedly more than one orthographical variants, which is a promising fact for improving translation quality when we normalize these orthographical variants. However, the results show that SMT...
Chinese text categorization, which is a key technology of massive Chinese text data processing, has been applied to information retrieval, document management, text filtering, etc. However, the categorization accuracy has been the major difficulties faced by the application upgrade. To improve the performance of the Chinese text categorization, feature selection, as an important and indispensable...
Deep Neural Networks have become a state of the art approach in perception processing like speech recognition, image processing and natural language processing. Many state of the art benchmarks for these algorithms are using deep learning techniques. The deep neural networks in today's applications need to process very large amount of data. Different approaches have been proposed to solve scaling...
For pathology routine examination microscopic biopsy slides are considered as a most viable choice to analyze and identity ovarian reproductive tissues. Experts require substantial amount of time to process the biopsy slides under the microscope. Electronic modalities are not suitable to analyze smaller tissues especially ovarian reproductive tissues. To reduce the time and effort it would be a better...
Intrusion Detection System (IDS) is an essential method to protect network security from incoming on-line threats. Machine learning enable automates the classification of network patterns. This paper review the learning and detection methods in IDS, discuss the problems with existing intrusion detection systems and review data reduction techniques used in IDS in order to deal with huge volumes of...
It would be difficult and stressful for a single operator to operate an underwater manipulator using his/her both hands in deep sea environments while the operator has to monitor or manipulate additional equipment. In order to reduce the operating pressure and make full use of the operator potentials, in this paper we propose a control strategy for operating the underwater manipulator via P300 brainwaves,...
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...
Electroencephalography (EEG) is an emerging held of digital signal processing. EEG is electrical signals which are recorded by the sensors attached on the human scalp to detect human's brain activities along the scalp. EEG signal processing has been a technically challenging problem for researchers due to its extremely noisy nature compared to other different kinds of digital data such as voice or...
The state-of-the-art image classification methods require an intensive learning stage and a considerable amount of training images. Recently, with the introduction of these models (and in particular convolutional neural network (CNN)), it is believed that the best solution to achieve a system with high performance on scene classification is to learn deep scene features using CNN. While this can be...
This work focuses on the issue of a high performance computing education based on systems such as grid, cloud, HPC cluster or systems with hybrid environments. The goal is based on the analysis of the High Performance Computing Strategic Research Agenda in Europe and the published findings in USA in context of needs for education and training specifically in HPC and Compute Intensive Science. In order...
The orientation is occupying an increasingly important role in the process of determining the future of the students, which leads to the obligation to make it automatic and accessible, both in terms of immediate accessibility throughout the world or in the offering of several languages that correspond to the language used by the majority of students or persons in need of guidance. These problems can...
Preserving important troubleshooting experience gained in industrial practice, often referred to as “tribal knowledge”, and making it readily available to be re-applied in similar situations represent a serious challenge for many companies in heavy industry. The solution is very often tied to building mental models to capture and express key latent cognitive variables. In this paper, we first attempt...
Wavelet analysis is a pattern recognition technique that has been used to analyze signals and images such as medical scans and hyperspectral imagery. We hypothesize that wavelets can also be used to analyze educational data. We explore the use of Haar wavelets to differentiate various patterns in a student attention data set. The data consists of a very large set of binary attention data (on-task/off-task)...
Gender equality and empowerment of women is accepted universally as an important aspect of development. In India there is a high gender gap in literacy, high dropout rate in girl students, high incidence of crime against women, high negligence in economic freedom, low involvement in decision making and very low recognition for their efforts and contribution in agriculture and allied sectors. The scenario...
As technology infiltrates every aspect of students' daily lives, game design acquires a bigger and more influential impact on shaping students' personalities and development of learning competencies. Considering the continuously increasing research on the use of educational games in classrooms, the researcher identifies another great interest in the constructivistic perspective of game design for...
Results of development and practical introduction of advanced professional English training course into a higher school educational process for masters of sciences in electro-mechanics at polytechnic university's electrical engineering department are introduced.
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.