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Almost all the existing identity-based key agreement (ID-KA) protocols cannot achieve both ephemeral secret reveal resilience and pairing-free. In this paper, a pairing-free ID-KA protocol is proposed, which captures all basic desirable security properties including key generation center forward secrecy, key compromise impersonation resilience and ephemeral secrets reveal resistance. On the other...
This work reports a wide color gamut solution using quantum dot (QD) technology. Quantum dots are nano-crystal semiconductor material with a much narrower full width at half-maximum (FWHM) emission spectrum than that of phosphors. The emission wavelength of QD light can be tuned by varying its particle size to create almost any color desired. In this work, an edge-lit LED backlight is developed by...
The quantitative analysis on the mobility behaviors of subcellular structures is essential for understanding eukaryotic cells establishment and maintenance. Tagged by the fluorescent marker proteins, the subcellular structures are visualized under the modern microscope. In this paper, we propose a graph model to formulate the tracking problem on fluorescent marker protein. By minimizing the energy...
Malignant melanoma is among the most rapidly increasing cancers in the world. Image border detection is often the first step to characterize skin lesion for the follow-up computer-aided diagnosis. Existing approaches lack robustness in the face of dermoscopy images varying in size, color, texture, and structure. In this paper, a generalized Markov random field (MRF) framework is proposed to fuse the...
In this paper, we propose a predictive coding approach to identify microvessel subimages using Single-Opponent (SO) signal. First, we simulate the signal from SO neurons in the positive red and negative cyan channel to segment microvessel regions. Second, the SO signal is convolved with a Laplacian of Gaussian (LoG) filter and then processed in a predictive coding and biased competition (PC/BC) neural...
Recently the sparse coding approaches have been successfully applied to solve the image classification problems. However, the classification of microvessel regions from histopathology still rely on the hand designed low-level features. In this paper, we propose a novel method to classify region of microvessel by applying sparse coding on biological signals. The Single- and Double-Opponent signals...
Malignant melanoma is among the most rapidly increasing cancers in the world. Image border detection is often the first step to characterize skin lesion for the follow-up computer-aided diagnosis. As the existing segmentation techniques tend to find the sharpest pigment change in the dermoscopy images, the detected lesion borders are mostly contained inside the borders delineated manually by the dermatologists...
Dielectric polymer composites with high thermal conductivity and high breakdown strength have wide applications in electronic devices and electrical equipment. In this study, poly (phenylene sulfide) [PPS] and boron nitride (BN) were selected for preparing high thermal conductivity composites for high temperature insulation application. The composites were prepared by melt compounding to contain 0–40...
An image is worth of thousand words. Automatic Web image annotation is a practical and effective way for both Web image retrieval and image understanding. However, current annotation techniques are very difficult to get natural language interpretation for images such as ldquopandas eat bamboordquo. In this paper, we proposed an approach to interpret image semantics through semi-supervised mining annotated...
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