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.
This paper presents a novel method using accelerated KAZE (AKAZE) and Gist for a context-based semantic classification and recognition of indoor scenes used for a vision-based mobile robot. Our method represents spatial relations among categories for mapping neighborhood units on category maps using counter propagation networks (CPNs) while maintaining sequential information of labels generated from...
This study was conducted to create driving episodes using machine-learning-based algorithms that address long-term memory (LTM) and topological mapping. This paper presents a novel episodic memory model for driving safety according to traffic scenes. The model incorporates three important features: adaptive resonance theory (ART), which learns time-series features incrementally while maintaining stability...
In this study, a bed-leaving detection system using piezoelectric sensors was proposed to monitor vital signs of the human body such as arterial blood pressure, breathing motion, and body movement. This study reports on the details of a fast and concise algorithm designed to detect vital signs from vibration signals that are recorded via piezoelectric sensors installed inside a pillow and under a...
This study was undertaken to create an indoor environmental map using a monocular camera based on structure from motion (SfM). Numerous methods on simultaneous localization and mapping (SLAM) have been proposed for 3D map construction used for various types of mobile robots. We used MonoSLAM proposed by Davidson et al., which is a fundamental method using extended Kalman filters (EKFs) for feature...
At present, approximately 60% of world's population lives in masonry structures. Some of these structures are found in developing countries experiencing frequent earthquakes. Strong earthquakes tend to collapse these brittle, "non-engineered" structures, causing great harm to humans when these are residential structures. The purpose of this study is to develop simple, low-cost sensor systems...
This study was undertaken to establish basic technologies and knowledge of aerial photography and its application to support safe rowing. For the water sport of rowing, managers and coaches use a motorboat to follow a rowing boat for coaching and safe rowing observation. Utilization of a motorboat gives rise to numerous problems in terms of pulled waves, narrow visual ranges, limited tracking of boats...
This paper presents a novel object extraction method using a micro air vehicle (MAV) for improving the robustness of occlusion. The proposed method is based on saliency of objects for extracting regions of interest (RoIs) using scale invariant feature transform (SIFT) features and segmentation of target objects using GrabCut, which requires advance learning. We obtained original aerial photographic...
Broadband frequency-selective fading channels usually exhibit the inherent sparse structure distribution in spread time-domain. By exploiting the sparsity, adaptive sparse channel estimation (ASCE) algorithms, e.g., least mean square with reweighted L1-norm constraint (LMS-RL1) algorithm, can bring a considerable performance gain under the assumption of additive white Gaussian noise (AWGN). In the...
In the frequency-selective fading broadband wireless communications systems, two adaptive sparse channel estimation (ASCE) methods using zero-attracting normalized least mean fourth (ZA-NLMF) algorithm and reweighted ZA-NLMF (RZA-NLMF) algorithm have been proposed to mitigate noise and to exploit channel sparsity. Motivated by compressive sensing, in this paper, an improved ASCE method is proposed...
Invariable step size based least-mean-square error (ISS-LMS) was considered as a very simple adaptive filtering algorithm and hence it has been widely utilized in many applications, such as adaptive channel estimation. It is well known that the convergence speed of ISS-LMS is fixed by the initial step-size. In the channel estimation scenarios, it is very hard to make tradeoff between convergence speed...
This paper presents a bed-leaving detection method using Elman-type Counter Propagation Networks (ECPNs), a novel machine-learning-based method used for time-series signals. In our earlier study, we used CPNs, a form of supervised model of Self-Organizing Maps (SOMs), to produce category maps to learn relations among input and teaching signals. For this study, we inserted a feedback loop as the second...
This paper presents an unrestrained sensor system that analyzes predictive behavior patterns that occur when a patient leaves a bed. Our system comprises three sensors: pad sensors installed under a bed mat, a pillow sensor to detect head movements, and a bolt sensor mounted to a bed handrail. We used a triaxial accelerometer for a pillow sensor and piezoelectric elements for the pad sensors and bolt...
This paper presents an adaptive and incremental learning method to visualize series data on a category map. We designate this method as Adaptive Category Mapping Networks (ACMNs). The architecture of ACMNs comprises three modules: a codebook module, a labeling module, and a mapping module. The codebook module converts input features into codebooks as low-dimensional vectors using Self-Organizing Maps...
This paper presents a sensor system that predicts behavior patterns that occur when a patient leaves a bed. We originally developed plate-shaped sensors using piezoelectric elements. Existing sensors such as clip sensors and mat sensors require that patients be restrained. The features of our sensors are that they require no power supply or patient restraint for privacy problems. Moreover, we developed...
Dynamic properties of traditional wooden structures are estimated from forced vibration test performed on a prototype constructed for this purpose. The prototype corresponds to a framed wooden construction with traditional connections between columns and beams without nails and with wedges inserted into joints to fix them. To verify the applicability of a new type of piezoelectric bolt sensor the...
To conduct mine detection experiments using an octal wheeled prototype robot RAT-1, we developed end effectors to be attached to the driving wheels of the robot. This enables the robot to step safely and stably without hitting hidden mines. We created a simulation model for this study to test the movement of a robot having metal sensors attached to the front of its wheels and a driving algorithm with...
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.