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C-Rank {contribution-based ranking) is a state-of-the-art algorithm for ranking web pages. It combines content and link information by introducing the concept of contribution, which implies how much a page contributes to improving the content quality of other pages. However, C-Rank suffers from taking infeasible time to reflect changes in World Wide Web to every page's C-Rank score. In this paper,...
Brain-Computer Interfaces (BCI) can help disable people to improve human — environment interaction and rehabilitation. Grasping objects with EEG-based BCI has become a popular and hard research in recent years due to the high degree of freedom robot and complex grasp planning. Unlike commonly used paradigms, we propose a pipeline of hybrid EEG-based BCI for robot grasping by shared control to solve...
The efficient siphon computation is the key to the development of siphon-based deadlock control strategies with good performance. This work studies the computation of minimal siphons in a class of Petri nets called S4PR. Firstly, we propose a function with polynomial complexity to determine whether a resource subset can generate a minimal siphon. Next, using the technique of problem partitioning,...
This paper presents a procedure for supporting Brazilian universities during the selection of students to receive a social assistance grant, resulting from the Brazilian the National Student Assistance Program (PNAES) for reducing student evasion in public universities. The procedure is based on the multi-criteria method PROMETHEEII and on the ROC (Rank-Order-Centroid) approach. The procedure was...
Computer-mediated negotiation is characterized as an interactive communication and decision-making process between at least two individuals using a digital environment. The negotiators' behavior — which can be described in terms of negotiation style or conflict management — often changes when negotiators interact with other parties in a negotiation. This study considers a negotiation support system...
A new hybrid preference framework of the Graph Model for Conflict Resolution (GMCR) is proposed to facilitate modeling and analysis of conflicts involving two decision makers (DMs) with fuzzy levels of preference. The new preference structure, a hybrid of models of three-level strength of preference and fuzzy preference, provides a more flexible technique to express DMs' relative preferences among...
Cyber systems have become ubiquitous and indispensable in our daily life, and the extent of our dependence on them has increasingly grown in all fields including: education, business, industry and government. Those systems make intensive use of data and information and are therefore exposed to more potential cyber attacks. Thereby, the need for reliable approaches to protect them has increased. One...
Different from current researches on Flickr group recommendation approaches that recommend groups to either users or images, this work proposes a unified framework that recommends groups to both users and images. Four types of entities in the Flickr system (users, tags, images, and groups) are integrated into a tetradic model, and then we uses tetradic decomposition to discover the latent semantic...
Sweeps is a well-known localization algorithm based on the consistent connection constraints in WSN, and utilizes the concept of finite localization to relax the constraint conditions from trilateration to bilateration. In this paper, we deeply analyze the finite localization in various localization environments, and uniquely localize the finitely localized node without flip ambiguities using iterative...
As one of the most influential and changeable factors, temperature has always been an important research object. Since temperature is affected by many factors, all of them contribute in the formation of the temperature curve. We can obtain the regular pattern of influence factors by decomposing temperature data. In this paper, a new method is proposed, which is named average-type multiple sine-related...
A method based on cosegmentation is applied to change detection to segment image patches belonging to each image. The image patches have the characteristics of spatial correspondence in multi-temporal images and precise boundary in its own image. By construction and optimization of energy function that consists of change feature item and image feature item, both of spectrum and shape change can successfully...
In this paper, a novel SSIM-based NLM algorithm is proposed. We replace the exponential weighted kernel function with a cosine coefficient weighted Gaussian kernel function and incorporate the structural similarity (SSIM) index, which is the state-of-the-art image quality assessment measure, into the NLM image denoising model. Experimental results indicate that the proposed SSIM-based optimal NLM...
Twenty four units of 48V DC LED luminary are retrofitted at a 120m2 energy harvesting laboratory located at level five, CleanTech One building for energy efficiency applied research. DC renewable is connected to the building DC grid to power 125 lumen per watt DC LED luminaries system with real time sub-meters' logging, and communicating via Power over Ethernet (PoE) based intelligent control technology...
This paper describes an air-coupled ultrasound system by using DIO-2000. The system is aimed to use for inner muscle evaluation in rehabilitation process. The system evaluates inner muscle with low constrain than conventional method which measured by using MR image, X-ray CT and contacted ultrasound system. Our air-coupled ultrasound system measures transmitted ultrasound wave with very low power...
The aim of this paper is to propose a method that generates the minimum number of linear time-invariant systems (LTIs) used in an affine set to determine any parameter-dependent nonlinear system. The implication is to reduce the order of LTIs containing core tensor, as it can be quite large in the case of a big number of parameters, as previously every parameter was added to the parameter-space in...
Pilot induced oscillations (PIOs) are potentially catastrophic events that occur during flight when pilots attempt to control an aircraft close to a performance or physical boundary. PIO-like behavior is typically observed in boundary avoidance tasks (BAT), which simulate tight performance or physical boundaries and induce high cognitive workload. Our previous research linked the occurrence of PIO-like...
Preserving the content of historic handwritten manuscripts is important for a variety of reasons. On the other hand, digital libraries are rapidly expanding and thus facilitate to store this information directly in digital form. For digitising text documents, a crucial step is to binarise the captured images to separate the text from the background. In this paper, we propose an effective approach...
With the demand and supply for electric vehicles (EVs) in rapid growth at a global scale, due to factors such as environmental awareness, tax and monetary incentives, government regulations, and technological advances, a range of technical issues in efficient EV design has been gaining great attention. With consumer concerns around EV range and battery degradation, several initiatives have been investigating...
Stock price forecasting is an important issue for investors since extreme accuracy in forecasting can bring about high profits. Fuzzy Time Series (FTS) and Longest Common/Repeated Sub-sequence (LCS/LRS) are two important issues for forecasting prices. However, to the best of our knowledge, there are no significant studies using LCS/LRS to predict stock prices. It is impossible that prices stay exactly...
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