Cancer informatics is a multidisciplinary field of research. It includes oncology, pathology, radiology, computational biology, physical chemistry, computer science, information systems, biostatistics, machine learning, artificial intelligence (AI), data mining and many others. Machine learning (ML) offers potentially powerful tools, intelligent methods, and algorithms that can help in solving many medical and biological problems. The variety of ML algorithms enable the design of a robust techniques and new methodologies for managing, representing, accumulating, changing, discovering ,and updating knowledge in cancer-based systems. Moreover it supports learning and understanding the mechanisms that will help oncologists, radiologists and pathologists to induce knowledge from cancer information databases. This paper presents the research results of the author and his colleagues that have been carried out in recent years on using machine learning in cancer informatics. In addition the talk discusses several directions for future research.

关键词：机器学习；癌症信息学；基于案例的推理（CBR）；本体工程

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This work outlines a new approach for online learning from imprecise data, namely, fuzzy set based evolving modeling (FBeM) approach. FBeM is an adaptive modeling framework that uses fuzzy granular objects to enclose uncertainty in the data. The FBeM algorithm is data flow driven and supports learning on an instance-per-instance recursive basis by developing and refining fuzzy models on-demand. Structurally, FBeM models combine Mamdani and functional fuzzy systems to output granular and singular approximations of nonstationary functions. In general, approximand functions can be time series, decision boundaries between classes, and control and regression functions. Linguistic description of the behavior of the system over time is provided by information granules and associated rules. An application example on a reactive control problem, underlining the complementarity of Mamdani and functional parts of the model, illustrates the usefulness of the approach. More specifically, the problem concerns sensor-based robot navigation and localization. In addition to precise singular output values, granular output values provide effective robust obstacle avoidance navigation.

关键词：数据流；自适应建模框架；机器人导航；回归函数

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通过总结广东电信现有波分传输平台特别是40G系统在部署和维护实践过程中发现的问题，从业务增长和传输技术发展的角度，说明了广东电信波分网络应逐步停止40G网络建设并向100G网络演进的趋势，进而在100G网络的建设模式、网络技术应用、网络维护注意事项等方面提出了意见和建议。

关键词：波分网络；DSP；OSNR；PDM－QPSK

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Wireless sensor networks are often deployed in open or even hostile environment,its security problem is very prominent,Data aggregation is easily to be attacked for security during the specific implementation process.In order to reduce the transmission of redundant data and enhance security,this article proposed a secure data aggregation and authentication scheme,.data was gathered according to the mode code,collection data was transmitted in encrypted form which will be selected nodes,ensured the confidentiality of the data; A session key was generated and delaied aggregation and authentication by using counter,ensured the integrity,authenticity and freshness of data during the transmission.The security analysis showed that the program had higher security which resisted the attack initiativly,node compromise attack and select forwarding attack and other malicious behaviors.

关键词：无线传感器网络；数据聚合；密钥管理；数据验证；网络安全

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this paper presents the design and realization of wireless sensor network gateway nodes based on s3c2410 Processor.And introduced the design of gateway hardware and software.Also introduced the implementation method of software.A new data transmit protocol was designed to eliminate the differences between ZigBee protocol and TCP/IP protocol,and this paper also designed a data transmit management module and data communicate module.This gateway can convert the data between ZigBee wireless sensor network and internet.This gateway has a good extensibility.

关键词：传感器网络；以太网嵌入式网关；无线局域网

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关键词：3G补贴；厂商；造血压力

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Monitoring system design of mine gas Monitoring System were designed according to the traditional lacked of the real-time and early warning functions and so on problems.A multi-hop sensor network based on TinyOS is designed.The system is based on hierarchical network architecture.The software design principle based on TinyOS is introduced,which can realize the multi-hop communication.A simple Ant colony algorithm is designed in this sensor network to improve the network lifetime.According to simulation results and Test Research,this system can efficiently realize the multi-hop data communication and reliable.

关键词：传感器网络；蚁群算法；监控系统；设计

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Energy-saving is one of the inevitable problems of the routing design in WSN,while Data Fusion technology is widely utilized in energy constraint WSN to reduce the amount of messages exchanged between sensor nodes.This paper proposes a new algorithm based on Integrated Genetic and BP Neural Network(IGBP),IGBP uses the global search capability of GA to remedy the deficiency of BP artificial neural network.First,IGBP generates the best individuals in different networks by GA algorithm.Then it chooses the most optimize individual measure by Mean Squared Error to construct the BP network which was supplied to train of the WSN.Using the optimize individual nodes as initialization value training the BP network,it will enhance the learning rates of convergence and avoid falling into the local minimums.The simulation results show that the IGBP algorithm has made great progress in balancing the consumption of energy so as to prolong the network lifetime.

关键词：数据融合；遗传算法；BP人工神经网络

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关键词：超光速；集群计算框架；分布式文件系统

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Infrared temperature measurement technology is an important means that early detection of equipment external overheating fault and internal insulation fault,and advanced detection methods of power equipment condition monitoring.Infrared temperature measurement technology found the hidden dangers of electrical equipment heating of the external connection points,has been widely applied in power system.With comparing the original ant colony optimization,this paper presents an improved weighted Ant Colony Optimization path planning algorithm based on Infrared image acquisition noise reduction processing and combining WCDMA network transmission mode,and constitute a visual background management system with rural power network.The system could capture power equipment infrared images and reduction noise simply,send it to the background server through the 3G network,for artificial auxiliary to predicting grid failure,scientific planning repair inspection path with improved navigation algorithm,and improve the stability of the power grid operation.

关键词：电力系统；红外图像；分销网络；导航检修；蚁群优化

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