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Photovoltaic (PV) power is a favorable source of clean energy, which can be easily integrated into distribution systems, next to loads. However, to meet a considerable load portion of the system a high penetration level of PV is required. This high penetration level along with unbalanced connection of single phase rooftop PV units makes it necessary to assess the effect of PV on the voltage of unbalanced...
Business logs on information systems have greatly improved business efficiency. Log records can be easily found by keyword search if we only know right keywords. Further efficiency may be achieved by a system that automatically shows log records in the past related to what the user is currently doing or what is likely to happen in the near future even if the user does not notice their existence. In...
It has been long time passed from when research works that generate life log based on sensor data, information on blogs and SNSs. On the other hand, daily behavior of a particular students and employees are almost the same. Especially, it is better that recordings of which timestamps are important such as records of working time are based on these daily behaviors rather than based on data mining of...
The sense of presence is often used to evaluate the performances of audio content and systems. To estimate the overall presence of a content item, we have developed estimation models for the sense of presence in audio-only and audio-visual content. In this study, the audio-only model is expanded to estimate the instantaneous presence in an audio content item. Initially, we conducted an evaluation...
The white cane plays a vital role in the independent mobility support of the visually impaired. Allowing the recognition of target attributes through the contact of a white cane is an important function. We have conducted research to obtain fundamental knowledge concerning the exploration methods used to perceive the hardness of an object through contact with a white cane. This research has allowed...
In clinical practice, cognitive impairment is often observed after stroke. The efficacy of rehabilitative interventions is routinely assessed by means of a neuropsychological test battery. Nowadays, more evidences indicate that the neuroplasticity which occurs after stroke can be better understood by investigating changes in brain networks. In this study we applied advanced methodologies for effective...
The objective evaluation of depressive mood is thought to be useful for the diagnosis and treatment of depressive disorders. Thus, we investigated psychobehavioral correlates, particularly the statistical associations between momentary depressive mood and behavioral dynamics measured objectively, in patients with major depressive disorder (MDD). Patients with MDD (n = 14) wore a watch-type computer...
Non-invasive EEG recordings are subject to effects such as surface conduction, resulting in very low signal to noise ratio (SNR). The conventional approach of using signal averaging to improve the SNR cannot be used for single trial EEG estimation. As such, this paper proposes a beamforming based technique that can be used to improve the signal quality from a signal trial EEG measurement. Results...
Inverted pendulum is a nonlinear, multivariable and instability system. In the past, without considering the effects of measurement noise and output noise of the sensor in the processing of inverted pendulum control, the strong random jitter occur, and the control accuracy and stable of the inverted pendulum is reduced. Because the Kalman filter can estimate the signal is corrupted by the noise, the...
Many challenging problems could be better solved by exploiting crowdsourcing platforms than traditional machine-based methods. However, data quality in crowdsourcing applications has become a crucial aspect since crowdsourcing workers may have different capabilities. In this paper, we propose a novel weighted aggregation rule (WAR) to improve the result accuracy in crowdsourcing systems. According...
In order to improve the deficiency generated from uneven distribution of anchors in the distributed semidefinite programming (SDP) method, improved distributed method is proposed for solving Euclidean metric localization problems that arise from large-scale wireless sensor networks (WSN). By introducing the change of factorization, nonlinear programming (NLP) model is presented on each subarea, and...
Record linkage is the task of identifying which records from one or more data sources refer to the same entity. Many record linkage methods were introduced and applied over the last decades. In general, the principle is to compare a range of available identifier fields in record pairs among different data sources, in order to make a linkage decision. The Fellegi-Sunter probabilistic record linkage...
Service robots employed in public spaces need to be equipped with specific sensing, reasoning and human-robot interaction capabilities to adapt their interaction style and thus effectively engage with a variety of users. In this paper we present a method used by an ubiquitous robotic system to gather 3D body metrics and use them to robustly estimate age and gender of previously unseen participants...
This paper proposes a new framework for evaluation of cross-validation methods for rule induction based on statistical indices by using incremental sampling scheme. Although incremental sampling scheme is used for incremental rule induction, this paper shows that the same idea can be used for deletion of exampling, called decremental sampling scheme. Then, we applied this technique to the cross-validation...
It is well known that the application of Spatial Information Service has a problem of computation intensive. In traditional solution, it is almost impossible to estimate the computing resources of the application and thus either waste or shortage of resources will appear at last. Aimed at it, this paper combines the cloud computing features and presents an algorithm called PSA (Prediction Scheduling...
Train positioning is a fundamental function which is required by many location-based railway applications. The rapid development of satellite navigation technology enables a better cost-effectiveness for the safety-critical railway train control systems. When using BDS (BeiDou Navigation Satellite System) in train control, it has to be ensured the positioning module takes full consideration of the...
The sizes of hidden data sources are of great interests to public, researchers and even business competitors. Estimating the size of hidden data sources has been a challenging problem. Most existing methods are derived from the classic capture-recapture methods. Another approach is based on a large query pool. This method is not accurate due to the large variance of the document frequencies of queries...
Automation using robots is applied widely in industry and recently, it is used to more and more complicated works. In order to apply it to complicated works, multi-robot operation is necessary and to multi-robot operation, coordination of robot movements is inevitable. This paper proposes an algorithm to estimate arriving time for a robot to soccer ball in RoboCup Soccer Simulation 2D League. In the...
Many universities are now using Video On Demand (VOD) lectures, which utilize the Internet to conduct lectures. However, because current systems are yet to implement search functionality for VOD, users must search manually by selecting movies based on their titles, playing a portion of the movies, and searching for the contents they are seeking. This study aims to create a search function that allows...
Image processing techniques for the removal of haze such as smoke and fog from digital images have been actively researched. In the haze removing from an image, it is necessary to estimate the transmission map and the global atmospheric light in the image. The authors have proposed the estimation method based on the minimum and maximum bilateral filters. However, the computational cost of the filters...
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