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Technology is in a constant state of evolution, which allows for new and cunning cyber-attacks and tactics. Out of all these tactics, the exploitation of human cognitive biases in response to phishing attacks is challenging to defend against. The purpose of this study was to determine if humans could discriminate fraudulent Uniform Resource Locators (URLs) or links from legitimate URLs without the...
Research efforts have been devoted to extraction and visualization of vortices in an unsteady (turbulent) flow. Characterizing the behaviors of the flow, vortices are identifiable as regions using a vortex detector known as the lambda2-criterion. Isosurface visualization renders vortex regions based on a chosen isovalue. However, it is highly challenging to choose one isovalue suitable for visualizing...
In human face-to-face communication, embodied sharing using the synchrony of embodied rhythms is promoted by embodied interactions. Therefore, embodied interactions are important for smoothly initiating coexistence and communication. When there is embodied interactions with direct contact, it plays to synchronize embodied rhythms effectively. Hug behavior is one of the types of embodied interactions...
While the ability to perceive attitude in 3D trajectory of the movement is a basic concept of a motion capture, a 9-axis inertial measurement unit (IMU) device containing accelerometer, gyroscope and magnetometer is introduced as a challenge for motion tracking device. In this paper, a modular architecture in terms of accuracy on orientation of the sensor output, implemented for wearable motion capture...
This paper presents results of a survey that explored the challenges low-income mobile users of Dhaka, Bangladesh (N = 131) face in mobile text entry. Results revealed that all users use the Bengali language at some capacity to compose text, yet many (are forced to) write with the Roman alphabet. Both feature phone and smartphone users feel that the existing text entry techniques are difficult to...
Accurate localization of brain regions responsible for language and cognitive functions in Epilepsy patients should be carefully determined prior to surgery. Electrocorticography (ECoG)-based Real Time Functional Mapping (RTFM) has been shown to be a safer alternative to the electrical cortical stimulation mapping (ESM), which is currently the clinical/gold standard. Conventional methods for analyzing...
The traditional affine iterative closest point (ICP) algorithm is fast and accurate for affine registration between two point sets, but it is easy to fall into local minimum. This paper proposes a robust Affine ICP algorithm based on corner points. First, an objective function is established under the guidance of corner points, where the corner points as the shape control point guides the affine registration...
The scale of the modern city has been expanding, which leads to a lot of serious environmental pollution problems. Among them, the air pollution problem is the most prominent. In order to control the air pollution in urban cities, the government has deployed a lot of air pollutant monitoring equipment which produce massive multi-dimensional time series data. Through the motif discovery and analysis...
In interactive human-robot path-planning, a capability for expressing the path topology provides a natural mechanism for describing task requirements. We propose a topology-aware RRT∗ algorithm that can explore in parallel any given set of topologies. The topological information used by the algorithm can either be assigned by the human prior to the planning or be selected from the human in posterior...
One of the major functions of intelligent robots such as social or home service robots is to interact with users in natural language. Moving on from simple conversation or retrieval of data stored in computer memory, we present a new Human-Robot Interaction (HRI) system which can understand and reason over environment around the user and provide information about it in a natural language. For its...
Casting machine learning as a type of search, we demonstrate that the proportion of problems that are favorable for a fixed algorithm is strictly bounded, such that no single algorithm can perform well over a large fraction of them. If an algorithm greatly excels on a class of problems (e.g., convex problems), that class must necessarily be small. We give an upper bound on the expected performance...
In order to achieve effective protection of digital image information and provide anti-attack capability for encrypted image, this paper proposed an ACP-based Approach to color image encryption using DNA sequence operation and hyper-chaotic system. By using the ACP method which is a way to solve the social computing problem, the influence of the chaotic data from the real world and the influence of...
Owing to its simplicity and efficacy, orthogonal matching pursuit (OMP) has been a popular sparse representation method for compressed sensing and pattern classification. As a recent extension of OMP, generalized OMP (GOMP) improves the efficiency of OMP by identifying multiple atoms each iteration. Nonetheless, GOMP utilizes the mean square error (MSE) criterion as the loss function, which has been...
Software often requires frequent updates to improve performance and reliability. Typically, a general update process is performed after terminating a program although this is not applicable to applications that require non-disruptive services such as networks and satellites. In order to address this issue, network service providers often provide a technology termed as an in-service software upgrade...
Bayesian Optimization or Efficient Global Optimization (EGO) is a global search strategy that is designed for expensive black-box functions. In this algorithm, a statistical model (usually the Gaussian process model) is constructed on some initial data samples. The global optimum is approached by iteratively maximizing a so-called acquisition function, that balances the exploration and exploitation...
Border Gateway Protocol (BGP) has been the de facto inter-domain routing protocol since it was introduced. Its destination-based routing nature, which is not able to choose a specific end-to-end AS-level route, might overload some popular peering (or inter-AS) links, while making some others underused. This could result in congestion and cause service disruption. To cope with the issue of destination-based...
This paper proposes a contactless charging platform with reconfigurable coils which compose a hexagonal coil array complied with wireless power consortium A3 standard. The function of contactless charging platform (CCP) that switches one of them to excite is to avoid the current cancellation phenomenon and to prevent the magnetic field attenuation. The CCP transmits wireless power to the secondary...
Background. Stability and growth in life insurance market is an important economic indicator. Therefore, yearly coverage lapse-rate estimates are one of the key statistics that actuarial analysts need to characterize and manage the insurance business. Aim. We aim to present machine learning based approach applied to a real data set covering a decade long customer history of an international financial...
Automated mental workload measurement is particularly important in safety-critical settings, such as in nuclear plants, aviation, air traffic control, shipping, and transportation, to name a few. As an example, recent statistics have suggested that 90% of the accidents in the transport industry are due to human factors. In this paper, we explore the potential of off-the-shelf wearable technologies...
The purpose of this industrial brief is to introduce an information system named Inventorum, which implements the idea of open innovation. Its aim is to increase cooperation between business and academia and in this way boost economic competitiveness. The system recommends innovations, projects, experts, partners, and conferences to the users based on their profiles. Information is served in three...
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