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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...
The visualization of the Pareto optimal solution set is one of important issues of the decision-making process on the multi-objective optimization problem. The Pareto optimal solution visualization method using the self-organizing maps (SOM) is one of promising visualization methods. This method has two shortcomings in the Pareto optimal solution representation capability. One is that the maps have...
Because of rapid population aging, it is necessary to design and develop senior-friendly or disability-friendly interfaces that can decrease the cognitive workload caused by an interface. At that time, the design implications and evaluation criteria of an interface should be needed for creating senior-friendly and disability-friendly interfaces. One of the elements that relate to memory functions...
While we recognize additional studies are needed to confirm repeatability and reliability in detecting normative and pathologic values, our methodology is an important step in demonstrating quantifiable measurements of the visual system as an indirect measurement of brain function.
Reading online can be difficult due to the distractions of digital environments. In this paper we present a user study in which participants' eye gaze was recorded as they read text in a visually distracting environment. We explore two distraction mitigation signals using real-time eye gaze data to investigate whether the effects help reduce distraction rate as well as aid recovery from distractions...
The advent of Big Data has created a rich set of diverse languages and tools for data manipulation and analytics within the Hadoop ecosystem. Pig has a prominent role within this ecosystem as a scripting layer—a convenient way to create analytics jobs that are issued for batch processing in a Hadoop cluster. In order to leverage the benefits of graphical domain specific languages, namely intuitive...
Autonomous vehicles would make the future roads safer by keeping the human driver out of the loop. However, reduced degree of human-control could result in loss of the feeling of driving for some drivers. Therefore, in this study we proposed a method of interaction between the driver and autonomous vehicle by allowing the driver to control the vehicle's lateral and longitudinal motions. We adopted...
Adaptive Collaboration (AC) has been proven and verified to be a promising methodology to conduct collaboration. AC follows an iterative and dynamic process that includes phases of role negotiation, agent evaluation, role assignment, role playing, and role transfer. However, AC is complex, and the benefits of AC are not easily observed. In particular, the benefits must be obtained through complicated...
The sense of agency (SoA) describes the feeling of being the author and in control of one's movements. It is closely linked to automated aspects of sensorimotor control and understood to depend on one's ability to monitor the details of one's movements. As such SoA has been argued to be a critical component of self-awareness in general and contribute to presence in virtual reality environments in...
Many skin detection approaches have been proposed in the image analysis literature. Some are simple and static; the others are dynamic and rely on complex machine learning algorithms and training data. Generally the simple approaches are preferred. We hypothesize that the developers' choice for the simple approaches are due to the reasonable quality of results and ease of implementation, since the...
Though some games for visually impaired persons have been developed, most of games that use only auditory information present challenges for sighted persons. Moreover, unfortunately, it is still difficult for visually impaired persons to play the same game with sighted persons and for sighted and visually impaired persons to share a common subject. Thus, we developed a barrier-free game that both...
When two partners perform a joint physical task, each of them experiences a force that sums together a component generated by the partner and another generated from the environment. To investigate whether subjects are able to distinguish these two components, we created a force perception task in which two partners indicate the direction of an external force applied to a rigid bar that they grasp...
In the development of advanced driver-assist systems (ADAS) for lane-keeping, one important design objective is to appropriately share the steering control with the driver. Hence, the steering behavior of the driver must be well known beforehand. This paper adopts the well-known two-point visual driver model to characterize the steering behavior of the driver, and conducts a series of field tests...
Haptic guidance has previously been employed to improve human performance in control tasks. This paper presents an experiment to evaluate whether haptic feedback can be used to help humans learn a compensatory tracking task. In the experiment, participants were divided into two groups: the haptic group and the no-aid group. The haptic group performed a first training phase with haptic feedback and...
Adaptive, model-free control of Type 1 Diabetes Mellitus (T1DM) is a lack in the field of diabetes control, since, most of the applied control strategies are model-based ones. The main problem is that difficult to formulate exact mathematical models to replicate the physiological processes, not just because of their behavior, rather then these processes are changing patient-by-patient. Furthermore,...
This paper reflects on a new method for implementing and designing object oriented relational databases. An introduction of the conventional methods is given initially. This method directly derives the database and its relational tables out of systems' classes and this is the novelty of this algorithm. Systems' class recognition is also embedded within the proposed method. Furthermore, the projected...
Texture is an important property of fire smoke, which is a significant signal for early fire detection. This paper describes a method of analyzing the texture of fire smoke combining two innovative texture analysis tools, Wavelet Analysis and Gray Level Cooccurrence Matrices (GLCM). Tree-Structured Wavelet transform is used to represent the textural images and GLCM are used to compute the different...
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