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.
Science of Neural Networks, and even much more so computing applications, have undergone developments beyond any predictions since McCullock-Pitts artificial neuron (1943) up via Hopfield's neurons (1982, 1984) to Kasabov spiking-neurons neucube (2014) and evolving connectionist systems (2003). Still computational functionality of all kinds of neural network implies guaranteed operating steady-state...
Emerging technologies in the field of automatization meanwhile enable partially and highly automated vehicles in the aviation and automotive domains, where the human operators are assisted or (partially/temporarily) replaced in their tasks by advanced automation systems. Nevertheless due to technological limitations and ethical reasons, full autonomous vehicles in both domains might not be realizable...
Wind energy has many advantages, because it does not pollute and is an inexhaustible source of energy. The Double Fed Induction Generator (DFIG) is one of the most important generator used for Horizontal Axis Wind Turbine (HAWT). The DFIG stator is linked directly to the grid, whilst the DFIG rotor is coupled via an electronic converter. In this paper, a discrete-time Neural Sliding Mode (N-SM) Field...
Exploration and exploitation are two strategies used to search the problem space in Evolutionary Algorithms (EAs). To significantly increase the performance of these optimization techniques in terms of the solution optimality is to strike the right balance between exploration and exploitation. Firefly is one of the most favored EAs. In this study, we introduce an entire fuzzy system to tune dynamically...
Social media platforms provide large amounts of user-generated text which can be utilized for text-based Sentiment Analysis in order to obtain insights about opinions on many aspects of life. Current approaches that are based on supervised learning require manually annotated data sets that are time-consuming to create and are specific to a single language. In this work, we present an approach to generate...
Partial observation can be avoided by extracting both modality specific features and common features from multimodal data. This paper proposes a framework of parameter shared multimodal deep autoencoders which uses complemental multimodal data in order to learn both modality specific and common features. The proposed model shares parameters of networks for each modality, while conventional multimodal...
In this manuscript, we investigate a collaborative filtering method to characterize consumption behavior (or evaluation) of customers (or users) and services (or items) for marketing. Assuming that each customer and service have the invisible attribute, which is called latent class, we propose a new Bayesian statistical model that consumption behavior is probabilistically arise based on a latent class...
The aim of this study is to propose an information system that should help boost cooperation between business and academia and their innovativeness. Its novelty relies on introducing such a system architecture and business processes that allow implementing the paradigm of open innovation easily. More specifically, the proposed system: (i) automatically acquires data from the Internet and extracts...
The intuitionistic fuzzy set which is characterized by a membership degree and a non-membership degree, is a very powerful and useful tool to cope with fuzziness and uncertainty. Recently, the Pythagorean fuzzy set which is an extension of the intuitionistic fuzzy set has been introduced. In this paper, we focus on multi-attribute decision making with Pythagorean fuzzy information. First of all, considering...
In this paper, we propose a mechanism for cancer cell differentiation therapy based on a game-theoretic rough set model with intuitionistic fuzzy set. We introduce an intuitionistic fuzzy relation with the help of fuzzy compatibility relation. The approximation space classification is controlled with a pair of intuitionistic fuzzy thresholds. It provides a flexibility to set up tolerance level depending...
As the emerging development of IoT circumstance, on-line detections or observations of a system states become easier by facilitating its corresponding multi-sensory responses, and thus the description of a system behavior becomes clearer. Abundant on-line multi-channel information from the embedded sensors would be advantageous to the understanding of the system. Though having the information, it...
We present a deep learning architecture for learning fuzzy logic expressions. Our model uses an innovative, parameterized, differentiable activation function that can learn a number of logical operations by gradient descent. This activation function allows a neural network to determine the relationships between its input variables and provides insight into the logical significance of learned network...
The main objective of all eye movements is to keep the image of the object of interest focused. Head motion makes this objective more complex. However, the vestibular system is responsible for eye movement that compensate head motion. Simulating and analysing eye movement in coordination with head and neck movements is useful for assessing visual system contribution to discomfort in different tasks...
A "basin of attraction" is a set of solutions arriving at the same local optimal solution by Best-improvement Local Search. By utilizing the concept of basin of attraction in the solution space of combinatorial optimization problem, the solution space is interpreted as a higher structure, which is a set of basin of attraction, and a lower structure, which is a set of solutions, in this paper...
Matrix factorization is a popular low dimensional representation approach that plays an important role in many pattern recognition and computer vision domains. Among them, convex and semi-nonnegative matrix factorizations have attracted considerable interest, owing to its clustering interpretation. On the other hand, the generalized correlation function (correntropy) as the error measure does not...
In visually searching for a target symbol out of a number of alternatives, which may include not only symbols from the Latin alphabets but also Arabic, Greek, Chinese, Japanese, Greek, and Russian letters and numerals, and mathematical symbols, the time required to find the target, i.e., the response time, follows Hick's law, which states that the response time is proportional to the logarithm of...
Hairstyle recognition is a challenging task since hairstyles span a diverse range of appearances in real-world. However, it is possible to start from recognizing the most basic hairstyles then dealing with more complex hairstyles. In this paper, we present a novel hairstyle pattern recognition system based on CNNs. We first give the definitions of four basic hairstyles: straight hairstyle, curly hairstyle,...
The traditional iterative closest point (ICP) algorithm could register two points sets well, but it is easily affected by local dissimilar. To deal with this problem, this paper proposes an isotropic scaling ICP algorithm with corner point constraint. First, an objective function is proposed under the guidance of the corner points, as the corner points can preserve the similar of the whole shapes...
Percutaneous therapy is a common clinical operation in minimally invasive surgery. Yet, learning curve of this skillful manual operation is steep, which imposes negative impacts on its further advances. In this paper, we proposed a novel workflow to simulate percutaneous therapy through visuo-haptic rendering based on the clinical trials. Intraoperative puncture data, obtained by our 6DOF force recording...
A navigator draws a route on a chart to navigate a ship from an origin port to a destination port. Then, the navigator sails the ship based on the route. In other word, the navigator misidentifies the route there is a possibility of running aground. In order to prevent navigator's misidentifies, this study proposed a sea route display system which displays the sea route on the surface of the sea by...
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.