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Due to numerous benefits, sensor-rich smartwatches and wrist-worn wearable devices are quickly gaining popularity. The popularity of these devices also raises privacy concerns. In this paper we explore one such privacy concern: the possibility of extracting the location of a user's touch-event on a smartphone, using the inertial sensor data of a smartwatch worn by the user on the same arm. This is...
We show how to design a one-dimensional randomly rough interface between two dielectric media that, when illuminated at normal incidence by a Gaussian beam, produces a transmitted beam whose spectral density in the mean interface has a Gaussian form, while its spectral degree of coherence in this plane has a nearly arbitrary form.
The importance of regression testing in assuring the integrity of a program after changes is well recognized. One major obstacle in practicing regression testing is in maintaining tests that become obsolete due to evolved program behavior or specification. For mobile apps, the problem of maintaining obsolete GUI test scripts for regression testing is even more pressing. Mobile apps rely heavily on...
This paper proposes a method that classifies the emotion status of a human being based on one's interactions with the smart phone. Due to one or the other practical limitations, the existing set of emotion recognition methods are difficult to use on daily basis (most of the known methods cause inconvenience to user since they require devices like wearable sensors, camera, or answering a questionnaire)...
Aiming at permanent magnetic synchronous motor(PMSM)drives used for hydraulic press, this paper presented the design method and implementation of PMSM drives based on field oriented control(FOC) and closed-loop pressure control. There were three feedback signals — current, speed and pressure in the control system, obtained from a current sensor, a resolver and a pressure sensor. Then based on this,...
Biometrics is everything that can be measured in a human being. It has two types; behavioral and physiological. This paper discusses the use of keystroke dynamics, a form of behavioral biometrics that deals with the measure of how a person types, and the utilization of accelerometer biometrics as a form of behavioral biometric that measures how a person holds his mobile device. We collected biometric...
Human information processing is limited in capacity. Here, we investigated under which circumstances humans can better process information if they receive task-relevant sensory input via several sensory modalities compared to only one sensory modality (i.e., vision). We found that the benefits of distributing information processing across sensory modalities critically depend on task demands. That...
The development of three modular Rabin's encryption algorithm with using ordinary integer and modified perfect forms of the system of residual classes is presented in this paper. This method takes precedence over classic in choosing modules of the same order in sustainability by increasing the block of plaintext for encryption. New methods for implementation of major labor-intensive operations of...
The objective of this study was to study the relation of Sacha Inchi containing Omega-3 as ingredient and the brain development of cognitive function by using the brainwave as indicator. Ten volunteers were participated in this study. This study used 14-channels Neuroheadset Mobile electroencephalogram (EEG). This device could display in many channels and works as wireless neuroheadset. All participants...
With continuous declines in circulation and advertisement volume, China's newspapers have been trying hard in service and organization innovations. We explored major journals and reports on media innovations, identified five main directions of service innovations for China's newspapers and discussed about them one by one.
With the rapid development of science and technology, material products have been growing in increasing diversity. The current society has entered the cultural and spiritual consumption era. People's product demands have exceeded the boundary of "serviceability", and emphasized more on interactive experiences between humans and products. As a product category, furniture has transformed from...
Team-based learning (TBL) is a form of student-centered active learning which will help to develop various professional skills, problem solving, interpersonal team skills, and self-directed independent learning. The success of TBL approach depends on its design comprising Team formation, Project identification and distribution, monitoring the progress, maintaining open discussion in every phase and...
The major challenge of Team Based Learning (TBL) or Group learning is its Design and Implement that assess the student's knowledge and skills. The challenge also includes designing assessment to grade the students based on their contribution to the team performance. Teacher assessing the student's performance in team is a teacher biased process. Therefore Peer evaluation can be included as part of...
It is extremely important to optimize the C2 structure to suit to the information warfare. The proposed networked C2 structure, which is composed of a C2 capacity array and a task array, based on the long chain system in industry, aims to fill the gap. This article lucubrates two typical systems, the long chain system (LCS) and 3-chain system (3CS), to explore how they perform when tasks array with...
In the opportunistic networks, many researchers apply the sleep scheduling policy to save energy, which can allow mobile nodes sleep or wake up periodically. However, when the nodes are in a cyclical sleeping mode, they will miss some effective contacts with other nodes. This situation will inevitably increase the inter-contact time, affect the message delivery probability, and increase message delay...
The manufacturing process of car body parts is a complex industrial process where many machine parameters and material measurements are involved in establishing the quality of the final product. Data driven models have shown great advantages in helping decision makers to optimize this kind of complex processes where good physical models are hard to build. In this paper a framework for on-line process...
Evaluation of probability distribution functions and their inverse functions plays a primarily important role in a statistical analysis and inference. In addition to statistically critical values, it produces probability values required to complete such inferential tasks. Therefore Chi-squared (X2) distribution function was evaluated via its related incomplete gamma function and by integrating the...
This paper proposes a reinforcement learningframework for the extraction of objects' borders in sequentialimages. In this method, an agent-based approach is proposedto find the appropriate local values and detect the edges ofobjects in the images. Due to its dynamic nature, this methodcould have potential for segmenting similar objects in imagesequences that have the same nature.
Conventional vending machines require users to press buttons and respond to visual cues. This makes them less accessible to some users such as the blind. NuiVend resolves this issue by integrating natural voice commands and gesture interactions into a vending machine, thereby creating many alternative, natural, and more user-friendly ways of interaction. In this paper, we will discuss NuiVend's use...
Prospective memory can maintain our ability to living independently, which is important for our daily lives. Evaluation of prospective memory can be reflecting the severity of cognitive ability regression. Previous studies developed slide-based task and living-based task to evaluate prospective memory performance in different conditions. However, as a new technology that can provide a more realistic...
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