摘要：Drop-on-demand (DOD) bioprinting has been widely used in tissue engineering due to its highthroughput efficiency and cost effectiveness. However, this type of bioprinting involves challenges such as satellite generation, too-large droplet generation, and too-low droplet speed. These challenges reduce the stability and precision of DOD printing, disorder cell arrays, and hence generate further structural errors. In this paper, a multi-objective optimization (MOO) design method for DOD printing parameters through fully connected neural networks (FCNNs) is proposed in order to solve these challenges. The MOO problem comprises two objective functions: to develop the satellite formation model with FCNNs;and to decrease droplet diameter and increase droplet speed. A hybrid multi-subgradient descent bundle method with an adaptive learning rate algorithm (HMSGDBA), which combines the multisubgradient descent bundle (MSGDB) method with Adam algorithm, is introduced in order to search for the Pareto-optimal set for the MOO problem. The superiority of HMSGDBA is demonstrated through comparative studies with the MSGDB method. The experimental results show that a single droplet can be printed stably and the droplet speed can be increased from 0.88 to 2.08 m·s^-1 after optimization with the proposed method. The proposed method can improve both printing precision and stability, and is useful in realizing precise cell arrays and complex biological functions. Furthermore, it can be used to obtain guidelines for the setup of cell-printing experimental platforms.

摘要：介绍了Neuralnetworks技术 ,并通过其在旋回式破碎机数据上的应用实例 ,分析和讨论了该networks在矿山设备的预测、分级及控制方面的应用。

摘要：反思创意城市：城市创意经济中的复杂性、网络与互动Rethinking the Creative City：The Role of Complexity,networks and Interactions in the Urban Creative Economy源自：Urban Studies,2011,48（6）：1157-1179过去十几年来，世界各地的城市均热衷于文化创意产业的建设。“文化”被当作促进城市更新、经济发展与社会和谐的重要政策工具。创意经济也随即成为不少城市的主要投资领域。所有人最关心的问题是：什么样的城市才算得上一个创意城市？

摘要：为满足通用机械振动监测中高采样率、采集精度的需求,提出一种基于IEPE加速度传感器的无线传感器网络节点高精度数据采集方法。采用双核心处理器构架,降低网络维护与采集控制的耦合性,独立高精度时钟控制采集时序,提高数据采集频率精度。设计低噪声DC-DC电源转换方案,在充分考虑转换效率的前提下抑制电源噪声为30μVRMS;设计能自抑制电源噪声的恒流源激励,减小IEPE加速度传感器的信号噪声;设计通带平稳的三阶低通滤波器,有效避免频率混叠,提高数据采集幅值精度。实验结果表明:节点采集信号噪声仅40.7μVRMS,滤波通带范围内平均幅值误差仅0.37%;与有线采集系统NI9234数据采集对比分析,频率误差低于最小频率分辨率,幅值误差最大仅2.99%,验证了该无线传感器网络节点高精度数据采集方法的有效性。

摘要：如何将优化方法和CAD建模过程无缝集成在一起是一个急需解决的有重大应用价值的课题。以蜗杆传动优化设计CAD系统的开发为例进行了初步探索。首先介绍了蜗杆传动优化设计的两大关键技术:基于BP网络实现图表的逼近,基于遗传算法求解混合离散变量优化问题。然后根据国家最新标准,建立蜗杆传动优化设计的规范化数学模型。最后介绍了Visual Studio 2008环境下采用Pro/Toolkit二次开发Pro/ENGINEER Wildfire 4.0软件开发蜗杆传动优化设计CAD系统的过程。

摘要：In this paper we propose a new architectural switching nodes consisting of two processing nodes that follow Erlang B and Erlang C traffic respectively. The developed model is used to best utilize the given number of output channels to achieve the least blocking probability. An appropriate mathematical model has been further devised and its call blocking probability has been enunciated. Performance of the model has been evaluated for different values of blocking probabilities. It has been observed that the performance of the network is well satisfactory for different design parameters.

摘要：Complex and distributed systems are more and more associated with the application of WSN (Wireless Sensor Network) technology. The design of such applications presents important challenges and requires the assistance of several methodologies and tools. Multi-Agent systems (MAS) have been identified as one of the most suitable technologies to contribute to this domain due to their appropriateness for modeling distributed and autonomous complex systems. This work aims to contribute in the help of the design of WSN applications. The proposed architecture exploits the advantages of MAS for modeling WSN services, network topologies and sensor device architectures.

摘要：This study presents the architecture and design flow of smart mobile sensing systems that performs wireless sensor data transmission, data analysis and display in real-time. Multiple wireless protocols are used for sensor data transmission including the Bluetooth, cellular data network and Wi-Fi for Internet access, and Near Field Communication (NFC). An Android smartphone is utilized to demonstrate the design concept of an Intelligent Personal Communication Node (iPCN) and to perform real-time sensor data acquisition, processing, analysis, display and transmission. Tested sensors include acceleration, temperature, electrocardiography (ECG) and phonocardiography (PCG). For computational capability tests, we have observed the signal processing performance of the smartphone by implementing fast Fourier transform (FFT) of the received ECG signal, and QRS detection algorithm for spontaneous heart beat rate (HBR) estimation. This system has also been tested for multiple sensor node communication and on-demand sensor data acquisition. The smart mobile sensing system can also be applied to any environment that requires real-time sensing and wireless remote monitoring.

摘要：The goal of an UHDTV is to broadcast digital video contents which is 16 times the pixel resolution of HDTV. As the resolution is increased, the UHDTV requires a transmission technology to support very high data transfer rate. In this paper, we propose two out-of-band protocols to transmit UHDTV contents in a CATV network: an OOB-based protocol and a DSG-based protocol. The former may be a short term solution which is well suitable for a traditional CATV network and the letter may be a long term solution which is adoptable for a CATV network equipped with DOCSIS functionalities. In order to transfer 200 Mbps UHDTV contents, proposed protocols use a channel bonding mechanism which combines several QAM channels. We propose CATV network architectures to support an UHDTV service with a channel bonding mechanism, and design the format of messages to share the information of bonded channels between a headend and a STB. We develop an OPNET simulator and ascertain successful transmission of UHDTV contents.

摘要：Dyer，Riddle，Mills ＆ Precourt公司（DRMP）是美国著名的工程设计公司，为大型零售业、主题公园及政府等用户提供各种设计服务，在佛罗里达州、乔治亚州、北卡罗来纳州、南卡罗来纳州等多个地区设有19个分支办公室，员工超过500人。