January 2013
| No | Date | Title | Speaker | Presentation | Discussion |
| 1 | 2013-01-08 | Two-dimensional ultrasound detection with unfocused frequency-randomized signals | Pavel | (pdf) | (pdf) |
| This paper was published in the Journal of Acoustical Society of America 2007. Until now in best of my knowledge the only one paper about unfocused ultrasound imaging method. Author proposed to use random frequency for each element of transducer to make randomized frequency pattern. In simulation study this approach was effective in detecting small objects when using frequencies in the 0.25-1.25 Mhz range. | |||||
| 2 | 2013-01-15 | Probabilistic Reconstruction in Compressed Sensing : Algorithms, Phase Diagrams, and Threshold Achieving Matrices | Hyeongho | (pdf) | |
| In this paper, they present the probabilistic approach to reconstruction and discuss its optimality and robustness. And they detail the derivation of the message passing algorithm for reconstruction. Moreover, they further develop the asymptotic analysis of the corresponding phase diagrams with and without measurement noise, for different distribution of signals. | |||||
| 3 | 2013-01-22 | DASHER-An Efficient Writing System for Brain-Computer Interfaces? | Soogil | (pdf) | (pdf) |
| In this paper, they introduced DASHER and DASHER as a BCI user interface. DASHER is a user interface for entering text using discrete or continuous gestures, e.g. a mouse, touchscreen, or eye-tracker. DASHER have advantages. The operation of DASHER is simple, and immediately evident to new users. Also, DASHER has a rapid learning rate that is comparable to alternative text entry methods. So, they propose that DASHER would be well-matched to the low bit-rate, noisy output obtained from brain-computer interfaces(BCI), and discuss the issues surrounding the use of DASHER with BCI systems. In conclusion, they think that DASHER will be equally useful to users who retain functioning vision but are limited to communication through a BCI. | |||||
| 4 | 2013-01-29 | Speckle-field digital holographic microscopy | Nitin | (pdf) | |
| This paper was published in the Optics express Journal in 2009. In this paper, they introduced the recording of the electric field of speckle which overcomes the drawbacks: poor spatial resolution, weak depth sectioning, and fixed pattern noise due to unwanted diffraction. This technique has great potential in studying biological samples with improved sensitivity, resolution and optical sectioning capability. | |||||
December 2012
| No | Date | Title | Speaker | Presentation | Discussion |
| 7 | 2012-12-18 | DASHER-An Efficient Writing System for Brain-Computer Interfaces? | Soogil Woo | (pdf) | (pdf) |
| In this paper, they introduced DASHER and DASHER as a BCI user interface. DASHER is a user interface for entering text using discrete or continuous gestures, e.g. a mouse, touchscreen, or eye-tracker. DASHER have advantages. The operation of DASHER is simple, and immediately evident to new users. Also, DASHER has a rapid learning rate that is comparable to alternative text entry methods. So, they propose that DASHER would be well-matched to the low bit-rate, noisy output obtained from brain-computer interfaces(BCI), and discuss the issues surrounding the use of DASHER with BCI systems. In conclusion, they think that DASHER will be equally useful to users who retain functioning vision but are limited to communication through a BCI. | |||||
| 6 | 2012-12-11 | Brain-Computer Interface Using a Simplified Functional Near-Infrared Spectroscopy System | Evgenii Kim | (pdf) | (pdf) |
| In this paper, principles, experiments and progress in harnessing simplified function near-infrared spectroscopic systems (fNIRS) as non-invasive instrumentation for brain-computer interfaces were described. The system based on detecting haemodynamic responses. Results show that fNIRS can support simple BCI functionality and shows much potential. | |||||
| 5 | 2012-12-04 | Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors | SeungChan Lee | (pdf) | (pdf) |
| In this paper, they introduced a wearable, wireless and portable EEG-based BCI device with dry foam-based EEG sensors. Using this device, they demonstrated the game control application. This game application was controlled by real-time cognitive stage detection algorithm. The result of this study indicate that a portable wireless BCI device is conveniently and effectively control the application and the developed dry sensor also provided a good quality of EEG signals. | |||||