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Multi-object tracking is a difficult problem underlying many computer vision applications. In this work, we focus on sediment transport experiments in a flow were sediments are represented by spherical calibrated beads. The aim is to track all beads over long time sequences to obtain sediment velocities and concentration. Classical algorithms used in fluid mechanics fail to track the beads over long...
The curb appeal of a home, which refers to how attractive it is when viewed from the street, is an important decisionmaking factor for many home buyers. Existing models for automatically estimating the price of a home ignore this factor, instead focusing exclusively on objective attributes, such as number of bedrooms, the square footage, and the age. We propose to use street-level imagery of a home,...
The estimation of bus travel time and providing accurate information about bus arrival time to passengers are important to make public transport system more user-friendly and thus enhance its competitiveness among various transportation modes. However, for the system to be effective, the information provided to passengers should be highly reliable. The model and technique used for prediction plays...
In this work, we propose a feature exploration method for learning-based cuffless blood pressure measurement. More specifically, to efficiently explore a large feature space from the photoplethysmography signal, we have applied several analytical techniques, including random error elimination, adaptive outlier removal, maximum information coefficient and Pearson's correlation coefficient based feature...
This paper proposes a co-worker in-time Parts/tools Delivery to You robot, PaDY, in an automobile assembly line. Since co-worker robots share a workspace, the workers are at risk of colliding with them. Therefore, the safety of the workers has to be considered when operating such robots. In previous studies, the robot generally stops to ensure the worker's safety when a collision is detected, delaying...
The link traffic time estimation for urban traffic is an important part of the route guidance system, it is a necessary condition to realize the multiple functions of intelligent transportation, which has important effect on traffic planning, traffic management and traffic control. From the perspective of the research content, this paper analyzes the studies of link travel time estimation of urban...
The problem of compensating autonomous navigation systems with predictive algorithms was studied. For the purpose of high-precision compensation, the method of constructing nonlinear models, i.e. modified self-organization algorithm with redundant trends, was proposed with the help of identification of basic functions. The results of mathematical modeling of inertial navigation system errors with...
Nowadays, close monitoring of daily activities of elders is enabled by employment of the advanced wireless sensor networks, whose large quantity data are then analyzed by activity recognition techniques whereby their behavior patterns can be accurately modelled. In general, behavior patterns are important information about how elders live, and caregivers can thus take care of elders easily with the...
Lagrangian Traffic model which follows a platoon of vehicle has the benefit of convenient utilization of individual vehicle data and easy distribution of traffic information to the drivers. The objective of this paper is to develop a stochastic Lagrangian traffic flow model which uses probe vehicle data to predict traffic status. The proposed probing method tracks vehicles in pairs to collect speed...
While nonlinear filtering for circular quantities is closely related to nonlinear filtering on linear domains, the underlying manifold enables the development of novel filters that take advantage of the boundedness of the domain. Previously, we introduced Fourier filters that approximate the density or its square root using Fourier series. For these filters, we proposed filter steps for arbitrary...
Based on existing studies to estimate Batteries State of Charge (SOC), many published papers have suggested numeric models to express the relationship between the SOC of a battery in Plug-in Electric Vehicle (PEV) and the vehicle travelled distance. Knowing the battery SOC and based on these relations, other studies concentrated on the prediction of the distance range travelled by a PEV. Reversible...
As an emerging technique, the similarity-based residual life prediction (SbRLP) method is a significant method for residual useful life (RUL) prediction. However, related researches on the SbRLP method with multiple degradation variables are rare. Hence, a framework of the SbRLP method with multiple degradation indicators is advanced. Within the framework, two solutions (e.g. solution A and B) are...
Precise estimation of the ratio of carotenoid to chlorophyll (Car/Chl) in crop is very important in precision agriculture and early detection of stress. Car/Chl value in leaves is considered as an indicator of stress, especially in the middle-layer and bottom-layer of crop. Traditional remote estimation of Car/Chl was based on the data obtained from the nadir. However, there are few studies focusing...
A new heuristic controller, called Continuous Ant Colony Controller, is proposed for nonlinear stochastic systems. The new controller formulates the states estimation and model predictive control problems as a single stochastic dynamic optimization problem and utilizes a colony of virtual ants to find and track the best state estimation and the best control signal. For this purpose an augmented state...
To improve forecasting accuracy for baseline load and load impact from demand response resources, this paper develops three innovative statistical models. These models are regression spline fixed effect model, fixed effect change point model and mixed effect change point model. The models developed are applied to forecast baseline load and load impact from air conditioning cycling demand response...
Maintenance work of power equipment plays an important role in ensuring the security and reliable operation of power system and promoting the economic efficiency of enterprises. This paper takes the actual operating status of in-service equipment into account, calculates the current failure rate based on health index to improve the equipment reliability assessment. The fuzzy age reduction based failure...
Kriging-based Global optimization has been proposed and extensively used for solving black-box optimization problems with expensive function evaluations. The performance of such algorithm relies heavily on the effectiveness of the infill criterion that is used to decide which point to evaluate next. Two common infill criteria are, the probability of improvement (PI) and the expected improvement (EI)...
An automated approach for near-real time simulation and geo-visualization of flooding, including estimation of affected infrastructures, in Lake Mainit, considered the Philippines' deepest lake is presented. Perennial flooding in several areas around the lake due to increase in the lake's water level during the rainy season and during the passing of tropical storms exemplified the need for rapid determination...
Stem diameter distribution is a crucial forest inventory variable in operational forest management. Compared to ground based forest mensuration (e.g., diameter at breast height (DBH)), airborne laser scanning (ALS) offers a cost effective alternative for modelling forest inventory variables. The objective of this study is to determine the impact of the size and number of sample plots on modelling...
Connectivity analysis has become an essential tool for the evaluation of functional brain dynamics. The functional connectivity between different parts of the brain, or between different sensors, is assumed to provide key information for the discrimination of brain responses. In this study, we propose an estimation of effective cortical connectivity measures in frontal and parietal areas of human...
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