Challenges and opportunities of multimodal data in human learning: The computer science students' perspective

Multimodal data have the potential to explore emerging learning practices that extend human cognitive capacities. A critical issue stretching in many multimodal learning analytics (MLA) systems and studies is the current focus aimed at supporting researchers to model learner behaviours, rather than directly supporting learners. Moreover, many MLA systems are designed and deployed without learners' involvement. We argue that in order to create MLA interfaces that directly support learning, we need to gain an expanded understanding of how multimodal data can support learners' authentic needs. We present a qualitative study in which 40 computer science students were tracked in an authentic learning activity using wearable and static sensors. Our findings outline learners' curated representations about multimodal data and the non-technical challenges in using these data in their learning practice. The paper discusses 10 dimensions that can serve as guidelines for researchers and designers to create effective and ethically aware student-facing MLA innovations.     

智能力敏传感器的研制

针对传统的差压密度计和压力式液位计分别存在可靠性不高、不适用于介质密度经常变化的场合的问题,设计了一种基于Freescale MC9S08AW60微控制器的智能力敏传感器,详细介绍了该传感器主要电路的设计。该智能传感器实现了数据采集、信号处理、数据通信和电流环输出式数模转换功能。实际应用表明,在-20～+80℃的工作温度范围内,密度测量精度可达±5kg/m3,液位测量不受悬浮液回流和液位波动的影响,很好地满足了工业现场的应用。     

新型矿用智能水压传感器的设计

介绍了一种基于STM32F103RBT6微控制器的新型矿用智能水压传感器的总体结构、主要硬件电路及软件设计方案。该传感器采用低功耗电路设计方式以及分时上电的供电方式,在空闲状态下功耗仅为0.006 mA,在采集发送状态下功耗约为0.5 mA。     

基于CPLD的某型导弹测角仪视频信号模拟

针对导弹检测系统的训练和计量,采用CPLD技术设计了某型导弹电视测角仪视频信号模拟系统;介绍了测角仪的视频显示方式和模拟信号产生原理,并给出了CPLD主要的内部逻辑电路和VHDL语言描述;将视频信号分解为同步信号、固定图像和可控实心圆,以行计数器和列计数器构成图像的时间基准,通过对行、列计数器的编码实现同步信号和固定图像,通过对可逆计数器及行、列计数器的运算实现可控实心圆,并对可逆计数器的数据进行编码构成变焦数据,最终精确地实现了测角仪视频信号及其变焦数据输出的模拟。     

智能集中润滑系统在平朔矿区的应用

分析了平朔矿区原有破碎机润滑系统使用中存在的问题,介绍了一种智能集中润滑系统的工作原理及其在平朔矿区应用中的系统配置、系统应用方案及系统维护。该智能集中润滑系统将PC和PLC与现场多点润滑泵、智能仪表和智能传感器相结合,采用多点润滑泵实现对破碎机多个点的集中润滑,采用电动加油泵实现自动补脂。实际应用表明,该智能集中润滑系统运行稳定、可靠,提高了设备使用效率,减少了日常维修工作量。     

基于ZigBee的温室监测系统的低功耗设计

针对传统温室大棚有线监测系统存在施工复杂、线路多和维护难等缺陷,提出了一种基于ZigBee无线传感网络技术的低功耗温室监测系统的设计方案;通过对系统各部分的能耗进行分析,结合实际情况对传感器节点采用低功耗设计策略;硬件设计上采用低功耗射频芯片和智能开关芯片,软件编写上采用事件驱动方法延长节点休眠时间;该系统能够准确采集温室内光照度、空气温湿度、土壤水分和二氧化碳浓度等环境信息,并具有低功耗、低成本和易扩展等特点;测试结果验证了该方案的可行性。     

基于SOPC的网络视频监控系统的设计

提出一种以Nios Ⅱ软核处理器为核心,利用SOPC技术构建硬件平台,采用H.263协议压缩视频数据的网络视频监控系统设计方案;详细分析了系统的功能需求,确定了系统设计的总体方案;按照模块化的思想,设计了各个功能模块,并给出了网络芯片DM9000A电路的具体实现,利用μClinux中的TCP/IP协议栈进行数据通信,分析H.263视频编码协议基本原理,提出在硬件上实现H.263协议的设计方法;实验结果显示系统的网络视频传输速率达到25～30fps,满足实时性的要求.本设计方法灵活、成本较低、易扩展,具有一定的实用价值.     

漫射红外技术的智能家居无线局域网设计

分析了红外技术在短距离无线通信中的优势,并将其应用在智能家居局域网中;结合安华高科技公司的HSDL-3020红外收发模块搭建了硬件电路,构成网络的主从节点;介绍了网络组建的过程,包括IrDA协议栈结构、数据编码格式、链路连接、网络管理机制等。本设计实现了对家居设备的统一管理,具有较高的应用价值。     

OAZE: A network-friendly distributed zapping system for peer-to-peer IPTV

IPTV systems attracting millions of users are now commonly deployed on peer-to-peer (P2P) infrastructures and provide an appealing alternative to multicast-based systems. Typically, a P2P overlay network is associated with each channel, composed of users who receive, watch and redistribute this channel. Yet, channel surfing (aka as zapping) involves switching overlays and may introduce delays, potentially hurting the user experience when compared to multicast-based IPTV. In this paper, we present a distributed system called OAZE (Overlay Augmentation for Zapping Experience) which speeds up the switching process and reduces the overall cross-domain traffic generated by the IPTV system. In OAZE, each peer maintains connections to other peers, not only in a given channel, but also in a subset of all channels to which the associated user is likely to zap. More specifically, we focus on the channel assignment problem, i.e. determining, in a given P2P overlay, the optimal distribution of the responsibility to maintain contact peers to other channels. We propose an approximate algorithm providing guaranteed performances, and a simpler and more practical one. Our experimental results show that OAZE leads to substantial improvements on the connections between peers, resulting in less switching delay and lower network cost; it then represents an appealing add-on for existing P2P IPTV systems.     

Theory of edge perception for computer vision feedback control

In this paper, the authors address the problem of edge-perception for its applications to vision-feedback control in robotic systems.In natural vision, the recognition of objects takes place through the process consisting of eye system, neural networks and cognition. The cognitive process, in turn yields a phenomenon known as perception. This is the phenomenon of perception of physical attributes, such as edges, color and texture, etc., which is responsible for the recognition of objects through the natural vision processes.In this paper, we make an attempt to postulate the theory of perception for gray-level images. The gray-level images, when going through the cognitive and perception processes, are contaminated by the uncertainty; here we call it cognitive uncertainty.The studies in this paper are confined to the phenomenon of edge-perception for two-dimensional gray-level images, however, these studies can be extended to other types of visual attributes both in two-dimensional and three-dimensional spaces. Indeed, the perception of these attributes, which attempts to emulate the human vision system, may help in the design of a truly robust computer vision-feedback control system for robotic applications.