We have demonstrated a heterogeneously integrated Si/III-V laser based on an ultra-large-angle super-compact curved diffraction grating suitable for WDM applications in EPICs The lasing threshold is 150mA giving a max...
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We report the design and experimental results of an electrically pumped Silicon/AlGaInAs evanescent laser with right-angled-wedge reflector defined in the silicon layer. A continuous-wave laser with a lasing threshold...
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This paper reports a novel method to chemically modify specific nucleotides in a stretched double-stranded DNA, and to label the modified nucleotides with fluoresceinated antibodies in order to visualize them using bo...
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ISBN:
(纸本)9781618390622
This paper reports a novel method to chemically modify specific nucleotides in a stretched double-stranded DNA, and to label the modified nucleotides with fluoresceinated antibodies in order to visualize them using both fluorescence microscope and AFM. We show that the modification is possible even with 48.5 kb DNA stretched to the full length and immobilized on a solid surface, where the bases are forming closed pairs and the interaction with the surface can cause steric hindrance to chemical reactions. This method is expected to be used not only for a high-resolution microscope-based direct DNA sequencing, but also for a method to align molecules and nano-particles using DNA as a template.
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulation resembling the flocking behavior o...
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An electrically-pumped heterogeneously integrated Si/AlGaInAs evanescent laser with micro-loop mirror as high reflectors at both ends is experimentally demonstrated. Single spatial mode CW lasing is achieved with a th...
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Ubiquitous knowledge discovery systems must be captured from many different perspectives. In earlier chapters, aspects like machine learning, underlying network technologies etc. were described. An essential component...
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Temporal information extraction is a popular and interesting research field in the area of Natural Language Processing (NLP). The main tasks involve the identification of event-time, event-document creation time and e...
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ISBN:
(纸本)9781424468973
Temporal information extraction is a popular and interesting research field in the area of Natural Language Processing (NLP). The main tasks involve the identification of event-time, event-document creation time and event-event relations in a text. In this paper, we take up Task C that involves identification of relations between the events in adjacent sentences under the TimeML framework. We use a supervised machine learning technique, namely Conditional Random Field (CRF). Initially, a baseline system is developed by considering the most frequent temporal relation in the task’s training data. For CRF, we consider only those features that are already available in the TempEval-2007 training set. Evaluation results on the Task C test set yield precision, recall and F-score values of 55.1％, 55.1％ and 55.1％, respectively under the strict evaluation scheme and 56.9％, 56.9 and 56.9％, respectively under the relaxed evaluation scheme. Results also show that the proposed system performs better than the baseline system.
Today's Intrusion detection systems when deployed on a busy network overload the network with huge number of alerts. This behavior of producing too much raw information makes network based intrusion detection syst...
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In this paper, we present a method to discover, visualize, and predict behavior pattern of attackers in a network based system. We proposed a system that is able to discover temporal pattern of intrusion which reveal ...
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The current RFID systems are fragile to external attacks, due to the limitations of encrypted authentication and physical protection methods used in implementation of RFID security systems. In this paper, we propose a...
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