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This article gives a brand new way to analyze circuit. Traditionally, people use equations to analyze electric circuit. Solving equation group cannot show the inner relationship of the circuit easily. This article tries to analyze circuit with diagram, which is more intuitive and more efficient. It's so efficient that sometime there is nearly no need to calculate any equations any more.
Much research has gone into developing different strategies for teaching writing and speaking to engineering and science students. However, many of these strategies are designed for semester-long courses, in which a communication expert teaches fewer than 30 students. This extended abstract describes a study in which we test a different strategy for effectively teaching presentations to large numbers...
In this paper, we present an animation developed in the Wolfram Mathematica System for the visualization of the m-convex hull of sets containing finitely many points on the Cartesian plane.
Previous research believed that identification of learning style can increase learner's motivation and understanding in the online learning process. The process of identifying learning styles can employ conventional and automatic methods. Conventional method uses questionnaires to detect learning styles. The use of questionnaires faces obstacle in which the detection results are less accurate. As...
In this article, we present an algorithm to track objects in complex environments like, large variations in scale and orientation, background clutters, illumination changes, pose variation and occlusion. A multilayer perceptron based discriminative appearance model is constructed to distinguish the objects from their cluttered backgrounds. Moments of the binary image are used to estimate scale and...
Sensemaking is described as the process in which people collect, organize and create representations of information, all centered around some problem they need to understand. People often get lost when solving complicated tasks using big datasets over long periods of exploration and analysis. They may forget what they have done, are unaware of where they are in the context of the overall task, and...
This paper proposes a Bag of Visual Words (BoVW) based approach for keyword spotting on the Mongolian historical document images. In this paper, the first step is dividing the scanned Mongolian historical document images into word images by some preprocessing steps, such as connected component analysis, binarization etc. Then, all of image in our training set are processed in the following steps,...
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...
Recent advances in signal processing for the detection of Steady-State Visual Evoked Potentials (SSVEPs) have moved away from traditionally calibrationless methods, such as canonical correlation analysis, and towards algorithms that require substantial training data. In general, this has improved detection rates, but SSVEP-based brain-computer interfaces (BCIs) now suffer from the requirement of costly...
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...
In driver-vehicle systems, the Human-Machine Interface (HMI) plays an important role to assist the drivers in understanding the status of the vehicle and also serves as an input device. The HMI is an essential part in different levels of autonomous driving. As long as the interaction between the driver and vehicle remains, the outputs from the assistance system should be displayed to the driver. Studying...
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 advantage of using collaborative brain-computer interfaces in improving human response in visual target recognition tests was investigated. We used a public EEG dataset created from recordings made using a 32-channel EEG system by Delorme et al. (2004) to compare the classification accuracy using one, two, and three EEG signal sets from different subjects. Fourteen participants performed a go/no-go...
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...
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