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关键词： 航天测控   虚拟化测控站   软件定义网络   卫星测控站体系结构   综合基带  

摘要： 随着测控任务日渐密集,任务类型的多样性、复杂性不断增长,传统测控站封闭的体系结构在应对未来测控需求方面存在较多的技术短板。在对比分析国内外同类技术发展的基础上,提出了以综合基带虚拟化和软件定义网络技术为基础、以资源池为核心的新一代测控站体系结构,分析了测控站功能域与实现方法,设计了基于OpenFlow协议的测控站网络。设计了多星测控实验,验证了虚拟化测控站的优势。实验结果表明,当前商用设备的虚拟化率不低于1. 25。

关键词： 工作坊理念   项目驱动   大学生   创新团队  

摘要： 针对地方高校软件工程专业大学生开发实践能力较弱、团队协作能力不足、创新意识缺乏的现状,建立基于工作坊理念和项目驱动的大学生创新团队,初步验证工作坊理念在软件工程专业实践教学中的应用效果,为新工科背景下地方院校软件工程人才培养提供理论参考和借鉴。

关键词： 结构化设计   道路桥梁   设计   应用  

摘要： 在经济的发展进程中,优化道路桥梁设计对于提高我国交通安全水平来说至关重要。本文主要探讨了道路桥梁设计中结构化设计的常用方法和原则,并明确了道路桥梁设计中采用结构化设计的具体应用,旨在优化道路桥梁建造能力,并促进我国交通业的健康发展。

关键词： 新工科   软件工程   实践教学  

摘要： 结合软件行业发展趋势,融合新工科理念,以吕梁学院软件工程专业为例,通过完善实践教学课程体系,改革人才培养模式,建立各种相应的体制机制,形成以理论教学为基础、以实践操作为主线的新教学模式.实践证明,此模式大大激发了学生学习的积极性,提高了课堂教学质量和学生创新实践的综合能力.

关键词： 软件工程   创新性实验教学   AADL   模型驱动   项目驱动  

摘要： 传统的软件开发方法以及对应的软件工程课程实验设计通常缺乏一致性、系统性,不利于提高学生软件开发的综合实践能力。针对上述问题,开设实施了软件工程创新性实验教学项目"基于AADL模型驱动的软件开发方法",使得软件开发过程的各个阶段集成于统一、一致的建模框架中。同时,辅以"做中学"与项目驱动相结合的教学模式,让学生从实践中体验一个完整的软件开发过程,提高学生的自主学习探索、软件开发综合实践能力,为软件工程实践教学的开展提供实用的可选方案。

关键词： 新工科教育   应用型人才   软件工程   案例教学  

摘要： 以培养应用型人才为目标,突出能力培养主线,分析新工科教育下应用型人才的能力要求,对软件工程课程教学案例的选择、设计思路和实施过程进行探讨,强调学生动手操作,通过对案例进行解剖和验证,掌握知识,提升能力。

关键词： 疫情防控救治体系   体系结构框架   DoDAF  

摘要： 本文基于美国国防部体系结构框架,采用基于活动的体系结构设计方法,设计了疫情防控救治体系的能力视图CV-1、CV-2,作战视图OV-1、OV-2、OV-4、OV-5a、OV-5b以及系统视图SV-4,可以为疫情防控救治体系顶层设计提供参考。

关键词： 创新   创新型人才   人才培养  

摘要： 面向国家战略新兴产业新需求,"双一流"建设要求我国高校致力于培育高质量本科生创新型人才,引入全新的教育理念培养本科生创新型人才,已成为当前本科生教育关注和探讨的热点问题.该文首先阐述了创新型人才培养内涵,之后以西安欧亚学院软件工程专业为例进行实证研究,从理论与实践两个方面提出相关措施办法,构建具有民办高校特色的软件工程专业创新型人才培养模式,为推进创新型人才培养提供重要的智力支撑.

关键词： Analog signal processing   brain signal acquisition   brain-machine interfaces   electrocorticography (ECoG)   feature extraction   high-density array   ultra-low power  

摘要： This article presents an energy-efficient electrocorticography (ECoG) array architecture for fully-implantable brain machine interface systems. A novel dual-mode analog signal processing method is introduced that extracts neural features from high-. band (80-160 Hz) at the early stages of signal acquisition. Initially, brain activity across the full-spectrum is momentarily observed to compute the feature weights in the digital back-end during full-band mode operation. Subsequently, these weights are fed back to the front-end and the system reverts to base-band mode to perform feature extraction. This approach utilizes a distinct optimized signal pathway based on power envelope extraction, resulting in 1.72x power reduction in the analog blocks and up to 50xpotential power savings for digitization and processing (implemented off-chip in this article). A prototype incorporating a 32channel ultra-low power signal acquisition front-end is fabricated in 180 nm CMOS process with 0.8 V supply. This chip consumes 1.05 mu W (0.205 mu Wf or feature extraction only) power and occupies 0.245mm2 die area per channel. The chipmeasurement shows better than 76.5-dB common-mode rejection ratio (CMRR), 4.09 noise efficiency factor (NEF), and 10.04 power efficiency factor (PEF). Invivo human tests have been carried out with electroencephalography and ECoG signals to validate the performance and dual-mode operation in comparison to commercial acquisition systems.

关键词： multi-modal architecture   handover   narrowband internet of things (NB-IoT)   bluetooth low energy (BLE)   light-weight machine to machine (LwM2M)  

摘要： The wireless Internet of Things (IoT) landscape is quite diverse. For instance, Low-Power Wide-Area Network (LPWAN) technologies offer low data rate communication over long distance, whereas Wireless Personal Area Network (WPAN) technologies can reach higher data rates, but with a reduced range. For simple IoT applications, communication requirements can be fulfilled by a single technology. However, the requirements of more demanding IoT use cases can vary over time and with the type of data being exchanged. This is pushing the design towards multimodal approaches, where different wireless IoT technologies are combined and the most appropriate one is used as per the need. This paper considers the combination of Narrow Band IoT (NB-IoT) and Bluetooth Low Energy (BLE) as communication options for an IoT device that is running a Lightweight Machine to Machine/Constrained Application Protocol (LwM2M/CoAP) protocol stack. It analyses the challenges incurred by different protocol stack options, such as different transfer modes (IP versus non-IP), the use of Static Context Header Compression (SCHC) techniques, and Datagram Transport Layer Security (DTLS) security modes, and discusses the impact of handover between both communication technologies. A suitable end-to-end architecture for the targeted multimodal communication is presented. Using a prototype implementation of this architecture, an in-depth assessment of handover and its resulting latency is performed.