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Robotic technology is gradually entering our everyday environments and it is expected that in future social robots will be used to provide various services to users of public spaces. However, robots nowadays still lack the abilities to sense and understand their surroundings, and even more importantly, they lack the knowledge on the persons' usual behavior in public spaces. This talk will discuss...
The research of localization has become a more and more important topic with the popularity of ubiquitous mobile computing. In indoor environment, since the global positioning system (GPS) is disabled, many miniaturized wireless and sensing technologies have shown giant potential in positioning applications such as Inertial Navigation. In this context, this paper present a methodology to locate and...
We propose a super-resolution system for high-resolution displays that decomposes the input image into a structure component and a texture component using total variation regularization. The structure component is processed using a shock filter and the texture component is processed by a pulse enhancement filter. This system requires less computational time compared with learning-based systems and...
This paper presents a unified framework for recognizing and scoring dance motion using 2-layer classifier so that computation complexity is distributed into two layers. This research examines the performance of sliding window, hidden Markov Model (HMM) and conditional random field (CRF) as the first layer classifier to segment the input video into a sequence of motion primitive label. The second layer...
In this paper, we propose a multi-layered Probabilistic Latent Semantic Analysis (PLSA) model for personalized video summarization problem based on time synchronous comments offered by multiple users. Preliminary evaluations performed on an animation series of 624 minutes long with 12212 users show that the proposed model is able to captures the relationships among the preference of each individual...
In this paper, we propose a technique to decrease computational times for solving static elevator operation problems which are formalized as trip-based integer linear programming models. The technique is comprised of two parts: (i) to give equations which constrain the search space on the assumption that the maximum waiting time over passengers of an optimal solution is known, and (ii) to estimate...
Contrast enhancement involves transforming the intensity of pixels from the original state to feature significant impact on display devices. This paper proposed a new kind of Histogram Equalization method that provide both high quality and low edge loss rate. Firstly the input image will be segmented into different sized sub-images due to pixels characteristics. The transform function of each block...
In this paper, we proposed a simplified mathematical model of multi-car single-shaft elevators. This model is based on Markon's S-ring that is a state transition model of single-car multi-shaft elevators, and inherits modeling and analysis powers from S-ring. We applied the proposed model to evaluation of three typical policies and a superior one for group control. From the results, we can say that...
Recent years have seen the popularization of model based development (MBD) using models based on block diagrams. In many mechatronics systems, including automobile engine control and the brake control, a closed loop control is used to manage controls based on feedback data from control target objects. In order to develop a closed loop control using model base, a plant model that simulates the behavior...
Since the Great East Japan Earthquake, everyone has come to relook how to use electric energy. In addition, people who say that it should aggressively install safe and clean energy system have increased. To create city which is learned from nature, supported by science and technology, we started activity of community in Fukuoka and Yokohama. This paper introduces overview of smart energy system and...
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