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The Droplets Constant Culturing Analyzer Based on Microfluidic Chip Control 基于微流控芯片控制的液滴恒培养分析仪
Q. Cai
Presentation Title: Bacterial Cell Incubation and Detection in Automation Microdroplet System. We report an automated microdroplet platform for chemostat culture of bacterial cell, and continuous detection of optical density of microdroplet. The microdroplets, divided by air bubbles, are continuously injected into PMMA micro-fluidic chip using injection pump controlled by PC. Microdroplets are divided or merged via microchannels on the chip. On the top side of michochannels, optical detector is applied to acquire optical density of luminescent light. This platform is used to study chemostat continuous culture Escherichia coli on the chip, while concentration of bacterial cell can be online detected after tracer solution is merged into microdroplet. This system has several key characteristics: small (<100 μL, typically 2 μL) samples of liquids and suspensions of bacteria that are introduced directly into the chip; a sequence of droplets with compositions can controlled by injection speed and time; dividing and merging procedures can be easily programmed by user according experimental requirement; the droplets are detected with an in-line homemade optic spectrophotometer that measures cell growth, which detection limit reach 0.01 in 637nm wavelength. The E. coli detection experiment for water sanitary is on the way, while positive result can be expected.
报告题目:自动化微滴系统中细菌细胞的培养和检测。我们报道了一种自动微滴平台,用于细菌细胞的恒化培养和微滴光密度的连续检测。微液滴被气泡分割,通过PC控制的喷射泵连续注入PMMA微流控芯片。微液滴通过芯片上的微通道分离或合并。在微通道的顶部,采用光探测器来获取发光光的光密度。该平台用于在芯片上研究恒化连续培养大肠杆菌,将示踪液融入微滴后可在线检测细菌细胞浓度。该系统具有几个关键特点:小(<100 μL,通常为2 μL)的液体和细菌悬浮液样品直接引入芯片;可通过注射速度和时间来控制含有成分的液滴序列;根据实验需要,用户可以方便地编写分合并程序;在637nm波长检测限为0.01的自制光学分光光度计对微滴进行检测。卫生用水大肠杆菌检测实验正在进行中,阳性结果可期。
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引用次数: 0
Toward Intelligent Traffic Light Control with Quality-of-Service Provisioning 基于服务质量的智能交通灯控制
Lei Miao, Lijian Xu
Today's fixed-cycle traffic signaling is highly suboptimal and aggravates traffic congestion and waste of energy in urban areas. In addition, it offers no quality-of-service guarantee and makes travel time prediction extremely hard. While existing traffic light control research primarily focuses on improving the average wait time of cars, we study in this paper how traffic light scheduling affects the worst-case wait time. In particular, we derive the time a car spends at an intersection in the best-case and the worst-case, respectively. Using the theoretical results, we propose a simple but effective controller and run simulation to verify its performance. The result shows that it works much better than fixed-cycle controllers in both light and heavy traffic scenarios.
目前的固定周期交通信号非常不理想,加剧了城市地区的交通拥堵和能源浪费。此外,它没有提供服务质量保证,使旅行时间预测极其困难。现有的交通信号灯控制研究主要集中在提高车辆的平均等待时间上,本文研究了交通信号灯调度对最坏情况下等待时间的影响。特别地,我们分别推导出在最佳情况和最坏情况下汽车在十字路口花费的时间。根据理论结果,提出了一种简单有效的控制器,并通过仿真验证了其性能。结果表明,无论在轻流量还是高流量情况下,它都比固定周期控制器的性能要好得多。
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引用次数: 3
Support for Connected Vehicle Testing in Urban Environment 支持联网车辆在城市环境下的测试
Luke Liu
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引用次数: 0
Secure Geographic Based Routing Protocol of Aeronautical Ad Hoc Networks 航空自组织网络安全地理路由协议
Songchao Pang, Changyuan Luo, Hui Guan
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引用次数: 1
Oscillation Source Detection for Large-Scale Chemical Process with Interpretative Structural Model 基于解释结构模型的大规模化工过程振荡源检测
Yaozong Wang, Xiaorong Hu, Sun Zhou, Guoli Ji
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引用次数: 1
PCA Based Improved Face Recognition System 基于PCA的改进人脸识别系统
Fayaz Ali Dharejo, M. A. Jatoi, Zongbo Hao, Majid Ali Tunio
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引用次数: 4
Research on Path Planning of Automatic Handling Robot 自动搬运机器人路径规划研究
Yuanbin Hou, Liu He, Chunfeng Song, Yanyan Zhang, Dong Li
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引用次数: 0
Estimating Initial Guess of Localization by Line Matching in Lidar Intensity Maps 激光雷达强度图中线匹配定位初始估计
Chongyang Wei, Tao Wu, Hao Fu
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引用次数: 2
A Novel Method for Scene Classification Feeding Mid-Level Image Patch to Convolutional Neural Networks 一种基于卷积神经网络的场景分类新方法
Fei Yang, Jin-Fu Yang, Y. Wang, Gaoming Zhang
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引用次数: 0
Research on Setting and Benefit Evaluation of Integrated Waiting Area Based on VISSIM Platform 基于VISSIM平台的综合候车区设置与效益评价研究
Xinchao Chen, Si Qin, Jian Zhang, Hong Pan
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引用次数: 0
期刊
International Conference on Information Technology and Intelligent Transportation Systems
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