Optimal Dynamic Information Acquisition

2017 ◽  
Author(s):  
Weijie Zhong
Keyword(s):  
Information Acquisition ◽  
Dynamic Information ◽  
Optimal Dynamic

scholarly journals Optimal dynamic information provision

2017 ◽  
Vol 104 ◽  
pp. 329-349 ◽  
Author(s):  
Jérôme Renault ◽  
Eilon Solan ◽  
Nicolas Vieille
Keyword(s):  
Information Provision ◽  
Dynamic Information ◽  
Optimal Dynamic

An Optical Centrifugal-and-Pneumatic Controlled Microfluidic System for Sensing Real-Time Biochemical Reactions

2013 ◽  
Vol 397-400 ◽  
pp. 1733-1737 ◽  
Author(s):  
Hsing Cheng Chang ◽  
Ya Hui Chen ◽  
Shyan Lung Lin ◽  
San Shan Hung
Keyword(s):  
Real Time ◽  
Information Acquisition ◽  
Detection System ◽  
Color Space ◽  
Microfluidic System ◽  
Dynamic Information ◽  
Conversion Model ◽  
Optical Images ◽  
Sample Density ◽  
Rgb Images

An optical real-time pneumatic-and-centrifugal controlled microfluidic detection system for dynamic information acquisition is developed based on the quasi-stationary imaging technique. The programmable airflow applied on the centrifugal microstructures for improving efficiency in samples separation. The dynamic characteristic of a loaded disc is stable with vibrating under 0.3 mm at a speed of 1000 rpm by applying 3 bar-induced pneumatic forces on a 12 cm-diameter disc. A conversion model for converting RGB images into CIEL*a*b*color space have been used to enhance the inspection images. A linear relationship between threshold frequency and sample density is 167 rpm/g/cm3. The pressures between 0.1 and 0.5 bars are applied to bias microflow from 15° to 80°. The conduction angles between 30° and 90° have better pneumatic control. The control efficiency observed up to 89% and the largest microflow biased angle reached 80°. The pneumatic force dominates microfluidic behaviors when the force is greater than 10 times the centrifugal force. A sequential of triple-reservoir tests has been verified by analyzing enhanced optical images in separation using arranged acid-base indicators for pH reactions.

scholarly journals OFFDTAN: A New Approach of Offline Dynamic Taint Analysis for Binaries

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Xiajing Wang ◽  
Rui Ma ◽  
Bowen Dou ◽  
Zefeng Jian ◽  
Hongzhou Chen
Keyword(s):  
Virtual Machine ◽  
Information Acquisition ◽  
Sensitive Information ◽  
Dynamic Information ◽  
Taint Analysis ◽  
Performance Bottlenecks ◽  
New Approach ◽  
Offline Analysis ◽  
Runtime Information

Dynamic taint analysis is a powerful technique for tracking the flow of sensitive information. Different approaches have been proposed to accelerate this process in an online or offline manner. Unfortunately, most of these approaches still have performance bottlenecks and thus reduce analytical efficiency. To address this limitation, we present OFFDTAN, a new approach of offline dynamic taint analysis for binaries. OFFDTAN can be described in terms of four stages: dynamic information acquisition, vulnerability modeling, offline analysis, and backtrace analysis. It first records program runtime information and models the stack buffer overflow vulnerabilities and controlled jump vulnerabilities. Then it performs offline analysis and backtrace analysis to locate vulnerabilities. We implement OFFDTAN on the basis of QEMU virtual machine and apply it to off-the-shelf applications. In order to illustrate how our approach works, we first employ a case study. Furthermore, six applications have been verified so as to evaluate our approach. Experimental results demonstrate that our approach is correct and effective. Compared with other offline analysis tools, OFFDTAN has much lower application runtime overhead.

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