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This paper discusses the application of statistical analysis and machine learning techniques, more specifically Correlation Feature Selection (CFS), in multi-objective design optimization of problems where the computational cost (of optimization) is dominated by the cost of solution evaluations, e.g. electromagnetic shape design problems. Here, CFS is used in order to reduce the dimensionality of...
With the significant advances in online social networks which provide precious knowledge for personalized recommendation, it is necessary to design effective and efficient method to deal with such data. In this paper, we focus on the recommendation system to integrate the preference information and trust relations among users, following the trust-based recommendation model (TbRM) [1] which considers...
Providing high quality recommendations is significant for e-commerce systems to assist users in making effective selection decisions from a plethora of choices. Collaborative filtering (CF) is one of the most well-known and successful techniques to generate recommendations. However, CF suffers from an inherent issue that does not think over the auxiliary information such as item content information...
A kriging based optimization approach is proposed for problems with large datasets and high dimensionality. Memory usage is maintained via model centering aided by minimizing the impact of information loss on accuracy of new point prediction.
Information and Communication Technology (ICT) has changed the world scenario including business and economies. There are new opportunities and challenges for every country to produce knowledge oriented citizens. Driven by these changes, numerous higher education institutions around the world are integrating and adopting latest ICT tools to deliver quality education. However, the Effectiveness of...
Cybersecurity behaviors of employees are major contributors of cyber attacks in organizations. It is important to investigate an employee's cybersecurity posture within an organization. Using our cybersecurity behavior model, we surveyed employees from different organizations on their perceptions on various cybersecurity-related psychological variables. We study whether employment status differentiates...
This article introduces a framework to compute decision making policies (mission planning) for a UAV-based delivery system serving impatient customers. Customers arrive on a finite number of locations L separated by arbitrary but fixed distances and eventually leave if not served. Policies seek to minimize the average net cost (maximize the average net revenue), i.e. loss from customers' abandonment...
The paper describes a heuristic method for the ultra-short-term computation of prediction intervals (PIs) for photovoltaic (PV) power generation. The method allows for directly forecasting the AC active power output of a PV system by simply extracting information from past time series. Two main approaches are investigated. The former relies on experimentally observed correlations between the time...
In this paper, an autonomous active contour model based on the optical correlation algorithm is proposed. Optical correlation is used to calculate iris and pupil areas with a digital simulation of the Vander Lugt correlator. This area term computation assists the model to define an initial contour and at a later stage, to calculate terms in the energy expression. In the proposed model, several reference...
Background subtraction is a basic task of video analysis. Many methods have been proposed earlier for background subtraction, it is still challenging. In the present work, a novel method using canonical correlation analysis for background subtraction is proposed. The correlation between current image and background image obtained through canonical correlation analysis is used to detect the foreground...
In natural environment speech signal is affected by various acoustic interference. Many of the applications in audio signal processing such as automatic speech recognition, telecommunications and hearing aid applications etc. requires an effective way of segregating the target speech from the mixed speech. Pitch information has an important role in the field of audio signal processing, especially...
With fashion industry included e-commerce (worldwide) is expected to hit the $35 billion mark by 2020. There's a need for applications which help the user in making intelligent decisions on their day to day online purchases. In this paper, our aim is to build a system that would be able to understand fashion and the user to provide personalized clothing recommendations to the user. Our approach includes...
Correctly predicting the passenger flow of an air route is crucial for the airline company to make sales policy. Because of the uncertainties and data inadequacy in the passenger flow prediction of the civil aviation, regression analysis and a grey prediction method are used for predicting and analyzing the passenger flow of the air route in 2016 based on the data of to-and-fro air route of an airline...
The purpose of this study is to investigate the intention to use the cloud sphygmomanometer in Taiwan. This study also aims at providing suggestions on the popularization of cloud medical services. This study was established in a way that the model constructs in Technology Acceptance Model (TAM) were adapted to the context of cloud sphygmomanometer application in health management. Scale items on...
Early detection of depression is important to improve human well-being. This paper proposes a new method to detect depression through time-frequency analysis of Internet behaviors. We recruited 728 postgraduate students and obtained their scores on a depression questionnaire (Zung Self-rating Depression Scale, SDS) and digital records of Internet behaviors. By time-frequency analysis, we built classification...
This paper proposes a method using SDG (Signed Directed Graph) to investigate fault propagation mechanism of IGBT faults in traction system of CRH (China Railway High-speed) trains. A TCG (Time Causal Graph) model is obtained from the BG (Bond Graph) model of CRH5 traction system first; then, an SDG model is derived from the TCG model in accordance with fault tree propagation backward derivation....
Story identification from online user-generated content has recently raised increasing attention. Existing approaches fall into two categories. Approaches in the first category extract stories as cohesive substructures in a graph representing the strength of association between terms. The latter category includes approaches that analyze the temporal evolution of individual terms and identify stories...
The intent of our study, conducted on a sample of 98 psychiatric outpatients, was to explore the correlations between executive functions and traits of temperament and character. Executive functions were assessed through Frontal Assessment Battery and the traits of temperament and character using the Temperament and Character Inventory. From our sample, a significant link between certain traits of...
The approach proposed in this paper engages FFT to the linear analog circuit specifications determination. The method allows to calculate the observed circuit under test parameter based on the step response analysis. The approximating equation that models the relationship between the selected frequency components and the observed specification is determined by means of multiple linear regression....
For a long time, developing empirical propagation models have been an area of interest of scientist and researchers due to their simplicity and low cost in term of used resources. Their major drawbacks reside in the lack of accuracy which can be improved by adjusting model for a given area and frequency. This operation is called model tuning or calibration. In the present work we are interested to...
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