Detection of Human Activity using Cepstrum of Gas Sensor Responses

本報告は、ガスセンサにおける流体伝達場をモデル化し、室内環境の変化を解析する。1日の観測応答から複素ケプストラムのロータイムウインドによって伝達系を抽出し、推定空間伝達関数の逆フィルタリングにより人の行動に伴う活動量を復元する。これらを、一般家庭における実測実験にて確認し、本提案手法の有効性を示す。We modeled fluid transfer field at gas sensor responses, and analyed changes in the indoor environment. The results of this analysis indicate that transfer characteristics can be extracted by blind deconvolution using the low time windowing of complex cepstrum, and inverse filtration of the thus estimated space transfer characteristics allows us to extract drive signals proportional to the amounts of human activity. In an experiment in which the indoor environmental changes during daily life were measured, and drive signals were obtained. These results suggest that fhe detection of human actions can be improved by eliminating the residual components from the gas sensor responses

零延时RS-485接口电路的设计与应用

根据在研制节能灯寿命检测系统中,实际检测环境传输数据量大,实时性强的特点,对物理总线的拓扑结构和通信协议提出要求。采用零延时RS485接口电路,逻辑上采用主从式网络结构,物理结构上采用星型网络拓扑结构;设计出一种支持主从式网络结构的485HUB,经过通信协议的帧校验和帧超时的设计,进一步提高软件抗干扰的能力。测试结果表明,系统稳定可靠,抗干扰能力强

Implementation of Visual Building Intercom System Based on S3C2440

重点介绍了基于3星ArM控制器S3C2440和lInuX-2.6.22操作系统的数字可视楼宇对讲系统的软硬件设计与实现。该系统通过局域网实现楼宇中各嵌入式终端机互连,采用rTP协议进行语音及视频流传输,使用MEdIASTrEAMEr2流媒体处理框架对语音视频流进行传输、处理、保存、播放,实现嵌入式终端可视对讲和监控功能。This paper focuses on design and implementation of digital visual building intercom system based on the Samsung ARM controller S3C2440 and linux-2.6.22 operating system.Embeded terminals of this system achieve interconnection through LAN.RTP protocol is adopted to transmit audio and video streams.Mediastreamer2 library,a media stream processing framework,is used for audio and video stream transmission,processing,storage,and playback,to achieve the video intercom and monitoring

应用Python改进信号处理类实验教学

信号处理类课程具有概念抽象、推导复杂、内容枯燥等教学难题,实验课程的设置尤为重要,软硬件实验配套理论课程的方式已经被广泛应用。而随着新工科建设的需求,Python在信号处理类实践应用教学方面应当引起关注。分析信号处理类实验课程的发展,给出Python信号处理类实验教学案例,希望能促进此类课程的改进,做好新工科学科建设,增强学生应用设计能力