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A majority of crimes are committed by a minority of offenders. Previous research has provided some support for the theory that serial offenders leave behavioral traces on the crime scene which could be used to link crimes to serial offenders. The aim of this work is to investigate to what extent it is possible to use geographic route estimations and behavioral data to detect serial offenders. Experiments...
The paper considers the problem of decision support systems constructing for solving the problems of modeling and estimating selected types of risks with the possibility for application of alternative data processing techniques, modeling and estimation of parameters and states for the processes under study. The system proposed has a modular architecture that provides a possibility for easy extension...
A sense tagged corpus is important resources to word sense disambiguation and word sense identification. However, the sense tagging process should be conducted manually that it is a time consuming and expensive process. Therefore, the semi-automatic construction of sense tagged corpora is studied to reduce the cost of word sense tagging. This construction should contain two important phases that are...
A sufficient data length can play an important role in a proper estimation drought index, leading to a better appraisal for drought risk reduction. The South Central Region of Vietnam is one of drought prone areas but it has poor data conditions. A collection of meteorological data in the study area during a period of 38 years 1977–2014 found out a fact that there existed missing values in 10 out...
Learning outcome assessment is of great significance in the field of traditional on-campus teaching especially on the courses of programming languages. In this work, we take advantage of the data offered by our programming assignment judge system and propose a new IRT-BKT model for estimation of learning outcome. This new framework: Item Response Theory (IRT) model that estimates students' initial...
Distortions, such as perspective distortion and partial occlusion, causes objects in different locations in the image of a scene appear to have different sizes. We present a new camera calibration method for estimating the dimension of objects, particularly people, in several locations in the image of a scene. Segmentation methods such as background subtraction combined with frame differencing is...
In this work a decision support system (DSS) for the conversion of Unified Parkinson's Disease Rating Scale (UPDRS) motor symptoms into a Hoehn & Yahr stage representation is proposed. Accurate estimation of a Parkinson's Disease patient's Hoehn & Yahr stage is of great importance since this single value is enough to represent condition, severity of symptoms and localization and disease progression...
This paper revises the system mutually retrieving visual and audio materials based on impression. Visual (audio, respectively) materials are retrieved only by specifying an audio (visual) material. Visual (audio) materials having similar impression to an audio (visual) material are retrieved. To this end, the scores of the factors representing the impression of visual and audio materials are estimated,...
This paper deals with an online evaluation tool for application of electric vehicles for everyday utilization. The tool takes respect of the user defined range demands as well as the possible charging periods required due to the battery. In addition, customer parameters such as the load capacity and number of seats are taken into account. The tool is able to not only evaluate pure battery electric...
This study presented a position estimation and control method for quadrotor using optical flow and GPS sensors. Firstly, an optical flow based location algorithm is shown that calculates relative position from continues images. Considering the drift problem of optical flow, an improved Kalman filter based position estimation method is presented to enhance performance of location system. Then a PD...
Accurately estimating the probability distribution of renewable power production is a fundamental and challenging task in the probabilistic analysis of power systems with a high penetration of renewable energy. In this study, a novel hybrid method of minimum frequency and maximum entropy (MFME) is proposed for accurately and rapidly estimating the probability density function (PDF) of renewable power...
In order to reduce greenhouse gas emission and fossil fuel dependence, Electric Vehicle (EV) has drawn increasing attention due to its zero emission and high efficiency. However, new problems such as range anxiety, long charging duration and high charging power may threaten the safe and efficient operation of both traffic and power systems. This paper proposes a probabilistic approach to model the...
Wind energy is supplying an increasing proportion of demand in the electrical grid. An accompanied problem is that the operational reliability of the power system is affected by the inherent uncertainty and stochastic variation of wind generation which also leads to the wind power forecasts of low accuracy. Therefore, the point prediction of wind power produced by a traditional deterministic forecasting...
This paper presents a spare strategy of circuit breakers (CBs) considering aging failures based on condition monitoring data. The monitoring data are used to estimate the functional ages of CBs and the aging failure rates of CBs are calculated using the functional ages. The loss-of-load damage costs caused by both repairable and aging failures of CBs are evaluated together with the investment of spares...
The number of small stores, such as convenience stores, is increasing, and their electric power consumption is also increasing. Disaggregation technology, which identifies the statuses of devices by measuring one current at the circuit breaker board, is a preferred solution to save energy. In this research, we propose an EMS with the disaggregation technology that can estimate electric power consumption...
In this paper, we propose a phase noise cancellation algorithm in MIMO-OFDM systems where each transmit (TX) and receive (RX) antenna is equipped with independent oscillator. Most of previous works have considered phase noise model only in SISO-OFDM or simplified phase noise model in MIMO systems assuming that each TX and RX end shares one local oscillator. Recently, however, the local oscillator...
In this paper, a hidden Markov model (HMM)-based cue parameters estimation method for single-channel speech enhancement is proposed, in which the cue parameters of binaural cue coding (BCC) are applied to single-channel speech enhancement system successfully. First, the clean speech and noise signals are considered as the left and right channels of stereo signal, respectively; and the noisy speech...
Lightning stroke is the main cause of trip-outs of EHV and UHV transmission lines in China Southern Power Grid (CSG). In order to improving the lightning performance of overhead transmission lines, the lightning activities of CSG in 2006 to 2014 was analyzed. It indicates that the coastal Guangdong and Guangxi province are suffered more ground flashes, where the average ground flash density is over...
Spectrum bands become more and more valuable to wireless services, because more wireless systems are fast deployed all around the world in recent years. Land mobile service is one of such wireless services. Due to great commercial interest in land mobile service, mobile networks are developing fast. However, the allocated spectrum to land mobile service is running off. More and more researchers and...
Distribution System State Estimation (DSSE) is nowadays essential to enable the smart management of medium and low voltage grids. Due to the lack of a suitable measurement infrastructure, DSSE usually relies on the use of power injection pseudo-measurements derived from the knowledge of the historical and statistical behaviour of loads and generators. The uncertainty of these pseudo-measurements could...
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