Search Results - applied technologies

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  1. Pervasive Brain-Mobile Interfacing (BMoI) is a new trend that has significantly increased within this decade through the creation of wearable dry contact electroencephalogram (EEG) sensors. Unfortunately, current commercially wearable brain sensors have low accuracy, power limitations and computational restraint based from mobile devices. These lim...
    Published: 11/22/2017
  2. In the most recent decades, material characterization has evolved into the microscopic scanning field. Modern sensors are capable of applying electromagnetic radiation to obtain characterization data on set materials. However, current technologies require rotating sensors or sample adjustments. This causes problems in measurements because it risks ...
    Published: 10/26/2017
  3. Brain Computer Interfaces (BCI) have gained increased attention over the last four decades because they offer intuitive control in an abundance of applications where other interfaces are insufficient or impractical. Current technologies require lengthy training sessions until users achieve an acceptable level of control. Otherwise, users only have ...
    Published: 8/21/2017
  4. Convolutional Neural Networks (CNNs) have gained popularity in many computer vision applications. For example, they are able to train and classify images, video, and speech at high accuracy. However, the multiple layers of convolution and pooling operations necessary for CNNs create redundancy. This makes it difficult to perform real-time classific...
    Published: 8/9/2017
    Inventor(s): Jae-sun Seo, Minkyu Kim
  5. Unmanned aerial vehicles (UAV) have received increased attention in the last decade due to their versatility, as well as the availability of inexpensive sensors for their navigation and control. Multirotor vehicles, specifically quadrotors, have formed a fast-growing field in robotics, with the range of applications spanning from surveillance and r...
    Published: 7/27/2017
    Keywords(s): Robotics
  6. The immense growth of social media has shifted online platforms into effective resources for determining and categorizing potential customers. Relational learning (RL) adopts network connectivity and social media content to establish predictions about users. It uses the influences of social network structures and user content to model a supervised ...
    Published: 6/28/2017
    Inventor(s): Liang Wu, Xia (Ben) Hu, Huan Liu
    Keywords(s):  
  7. Insulator-based dielectrophoresis (iDEP) is the motion of particles due to a force from a uniform electric field. IDEP is useful in the manipulation of particles, cells and even organelles. However, IDEP forces scale dependent upon the geometry, making separation, preconcentration and fractionation difficult to achieve large-scale. Furthermore, the...
    Published: 3/14/2017
  8. In robotic mechanisms, a parallel manipulator uses multiple actuated parallel linkages to synergistically control the motion of the end-effector. In comparison to the more common serial chain manipulator, parallel manipulators typically offer better end-effector performance in terms of precision, stiffness, velocity, and torque generation. Parallel...
    Published: 3/2/2017
    Keywords(s): Exoskeleton
  9. Joint misalignment between a wearable robotic joint and its user can result in detrimental mechanical interference. For small degrees of joint misalignment, this interference can result in fatigue and friction-related user injuries, such as irritant contact dermatitis. Large degrees of joint misalignment can result in more severe injuries such as b...
    Published: 3/2/2017
    Keywords(s): Exoskeleton
  10. Radiography is currently the most common medical imaging procedure performed in the world, and the demand for radiography is expected to increase in the coming years. Particularly in less developed countries where there is a demand for a much more ruggedized technology, the market may skip conventional x-ray film technology in lieu of digital radio...
    Published: 3/2/2017
    Keywords(s):  

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