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.
There is a trend to introduce content caches as an inherent capacity of network device, such as routers, for improving the efficiency of content distribution and reducing network traffic. In this paper, we discuss the network state estimation in probabilistic caching based on a study with Bayesian inference, and propose a recursive estimation method for potentially improving the performance of adaptation...
As recent attacks in trains and train stations show, the protections of such critical infrastructure plays a major role for public decision makers. Thereby, security installations in the railway network are a frequently discussed topic. Especially the need for an open system demands for technologies that do not influence or delay passenger flows. This also leads to the question of optimal placement...
We are studying image-based fish identification. Most of traditional approaches used a fish image which was easy to extract a fish region with a white background or uniform background for automatic processing. This research adapted an approach to give several points by manual operation by the user. The proposed approach is able to accept the fish image in the complicated background taken on the rocky...
Nitrogen (N) is one of nutrient required by plant in huge amounts. N availability of plant is needed to be estimated before applying fertilizers to determine proper N application rate. The purpose of this study is to estimate N of paddy (Oryza sativa, sp.) based on leaf reflectance using Artificial Neural Network (ANN). In this study, 45 leaf samples were randomly selected under various environmental...
In this paper, a proposed system for feature selection based on social spider optimization (SSO) is proposed. SSO is used in the proposed system as searching method to find optimal feature set maximizing classification performance and mimics the cooperative behavior mechanism of social spiders in nature. The proposed SSO algorithm considers two different search agents (social members) male and female...
The goal of this paper is to introduce a task of image plagiarism detection. More specifically, we propose a method of searching for a plagiarized image in a database. The main requirements for searching in the database are computational speed and success rate. The proposed method is based on the technique of F-transform, particularly Fs-transform, s ≥ 0. This technique significantly reduces the domain...
This paper presents a bio-inspired optimized classification approach for assessing water quality. As fish liver histopathology is a good biomarker for detecting water pollution, the proposed classification approach uses fish liver microscopic images in order to detect water pollution and determine water quality. The proposed approach includes three phases; preprocessing, feature extraction, and classification...
Artificial intelligence systems are frequently used to solve various problems in our daily lives. However, these systems require problem-specific big data to facilitate their learning processes. Unfortunately, for unknown environments, there are no previous instances available for learning. To support such learning in unknown environments, we propose a novel hybrid learning system that facilitates...
Differential Evolution (DE) is an evolutionary algorithm. DE has been successfully applied to optimization problems including non-linear, non-differentiable, non-convex and multi-modal functions. The performance of DE is affected by algorithm parameters such as a scaling factor F and a crossover rate CR. Many studies have been done to control the parameters adaptively. One of the most successful studies...
Recently, exploitations of the financial big data to solve the real world problems have been to the fore. Deep neural networks are one of the famous machine learning classifiers as their automatic feature extractions are useful, and even more, their performance is impressive in practical problems. Deep convolutional neural network, one of the promising deep neural networks, can handle the local relationship...
Recently, ubiquitous computing and related sensor technology have significantly progressed. On the other side, the relationship between human emotion and sensory stimuli has been investigated. With this background, we propose sensory stimuli control system to adjust group emotion to given target emotion. Valence-arousal model was adapted for defining group emotion, and survey of 73-papers and onsite-investigation...
Various user's situation and small screen compared with computer keyboard influence the performance of the IME (Input Method Editor, a program that allows users to enter characters and symbols). According to the hand that a user is using, it has a significant effect on the IME input. In this paper, we propose a method based on decision tree to generate GUI automatically for the IME. We collect sensor...
Biometrics, especially fingerprint, has been popular to use for authenticating users because it is relatively permanence. This characteristic, however, is a problem because once it is compromised, fingerprint data can not be replaced. The conventional cryptographic algorithm may not be able to protect fingerprint data since the fingerprint scanning result is unstable. This paper improves the performance...
Typical facial expression recognition system in computer vision field usually learns and translates facial behaviors into emotional states directly based on the training data. Since our face are not limited by a small number of class labels. In order to explain more complex facial expressions, we proposed a novel action unit (AU) detector following the Ekman's Facial Action Coding System (FACS). Our...
The paper introduces a real-life industrial problem: a jewelry stones classification. The stones are represented by their camera images. The goal of the contract was to evaluate stones into two (or more) specified classes according to their quality. Given requirements include very high processing speed and success rate of the classification. The goal of this paper is to publish a report of this contract...
Two-dimensional (2D) codes are assumed to be printed on flat planes and subject to distortion when printed on non-rigid materials such as papers and clothes. Although general 2D code decoders correct uniform distortion such as perspective distortion, it is difficult to correct non-uniform and irregular distortion of 2D code itself. To cope with this problem, this paper proposes an agent-based approach...
Uploading and sharing video has become a populartrend on internet recently. However, it is very difficult to understand which parts of video gain more attentions than other parts. Comment-popping video sharing websites, such as Niconico, is a new kind of emerging video sharing websites. Such websites allows users to input timestamp comments within shared video. This paper proposes two video summarization...
We propose a method for clustering moving vectors oriented around two different local optima and some methods for improving the clustering performance. Evolutionary computation is an optimization method for finding the global optimum iteratively using multiple individuals; we propose a method for estimating the global optimum mathematically using the moving vectors between parent individuals and their...
Collaborative clustering is a recent field of Machine Learning that shows similarities with both transfer learning and ensemble learning. It uses two-step approaches where different clustering algorithms first process data individually and then exchange their information and results with a goal of mutual improvement. In this article, we introduce a new collaborative learning approach based on collaborative...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.