阐述基于OBE理念的微电子课程教学设计,包括优化课程内容、更新教学手段、完善考核方式,从而明确目标的定义,帮助学生获得知识成果.

阐述集成电路工艺课程的教学内容,集成电路工艺课程教学对于其他集成电路类课程的作用,包括单晶硅制备流程、光刻工艺的步骤、扩散工艺流程.

计算机网络课程立足于电子信息基础上,在信息科学类专业的知识结构中起着承上启下的关键作用.为了夯实学生的网络基础知识,将所学知识应用于实践,进一步提升网络工程能力和素质,本文分析了现有计算机网络课程教学中存在的问题,针对授课中存在的教学方式单一、理论与实际应用脱节、缺乏学情反馈、考核方式单一等问题,基于成果导向和项目式学习进行了教学改革探索.实践的结果表明,该方案符合课程教学目标,有助于学生掌握知识、提升能力,激发学习积极性和主动性.

为应对能量侧信道攻击对未加攻击防护的加密算法的安全性造成的巨大威胁,满足安全加密的需要,以AES加密算法为研究对象,通过介绍AES算法结构及其四种基本加密运算,设计一套改进的软件实现方案,将算法中非线性运算的字节替代步骤拆分为基于有限域的S盒求逆运算和仿射变换,结合抵抗能量侧信道攻击的布尔掩码对策,使用嵌入式C语言,在一款基于RISC-V架构的处理器上完成了全掩码AES算法的软件实现.实验结果表明该方案具有理论上的正确性与现实中的可行性.

针对目前图像加密方法中密钥值选择单一、混沌系统效率低等问题;提出了一种基于忆阻器神经网络和改进Logistic映射的图像加密算法.该算法引入指数函数对一维Logistic映射进行改进,选择忆阻器与Chebyshev混沌多项式结合作为激活函数的神经网络,将神经网络更新的权值均衡化后作为混沌系统的初始值;采用混沌系统获得替换索引矩阵,完成对图像像素级,以及bit级的置乱操作;使用两组随机序列对置乱后的密文进行两轮方向相反扩散操作,完成图像加密.神经网络中的权值作为混沌系统的初始值选择与更新的密钥源,生成的混沌序列经NIST等检验证明了其具有较好的随机性;安全性分析表明该算法密钥空间大,并且可以抵抗统计分析攻击,具有较高的安全性.

大数据时代下,现有的推荐系统面临着准确性、数据稀疏性以及冷启动问题的挑战.矩阵分解是解决数据稀疏性的有效方法,近年来,基于矩阵分解的推荐算法备受关注.以矩阵分解为基础,分别概述了基于传统矩阵分解的推荐算法、基于社会化的推荐算法和基于深度学习的推荐算法,分析各类算法之间的优势与不足,对算法的实际应用场景进行总结,最后给出未来研究方向的展望,为后续相关研究提供有效参考.

针对安全处理器中特权模式和物理内存保护这两大特性,以一款32位RISC-V安全处理器为研究对象,利用C语言和汇编语言程序构造了各种模式切换和越权访问的场景,提出了一套RISC-V特权模式和物理内存保护功能的测试方案,通过异常处理程序对处理器状态、异常信息进行观测,结果表明了该方案检验处理器安全特性的有效性.

阐述多层次集成电路类课程群体系的建立方法,提出课程群内各课程内容的优化与整合方案,实现各课程之间内容的衔接,从而实现课程的教学目标.

随着信息技术的不断发展,智慧校园建设已成为许多高校发展战略规划的重点内容,鉴于高校招生人数不断增加、传统宿舍分配方式面临着越来越大挑战的现状,设计并实现了一款基于数据挖掘技术的宿舍智能分配系统.系统将采集到的新生基本信息、性格、爱好等内容存储在SQL Server存储数据库中,使用C++进行编程,利用k-means算法将属性相近的学生安排至同一宿舍,充分尊重了学生的个体差异与个性化需求,有效提高了宿舍分配满意度.经实验,系统运行情况良好,聚类效果明显,符合课题要求.

Aiming at the limitations of nodes in wireless sensor networks in terms of energy consumption and communication, this paper proposes a symmetric image encryption algorithm with an improved Logistic map. First, the image is scrambled at the bit level to destroy the interference between adjacent pixels, then use non-linear diffusion operations to complete the image encryption; This paper applies the public key cryptosystem and completes the security identity authentication by constructing a new Hash function. Experiments have proved that the proposed image algorithm can effectively resist typical attacks and increase the reliability of sending information between nodes.

体育锻炼已成为人们日常生活的一部分,通过手机预约体育场馆需求越来越大.基于Android系统开发了一款约球APP.软件后台采用MySql实现数据存储,移动端通过Android Studio开发,短信验证码使用MobSDK接口,数据库使用JDBC接口连接,图片加载使用ImageLoader接口.软件具备浏览运动场馆信息、场馆预约、场馆评论、网上约球、约球留言等功能,以及预约查看场馆管理、信用评价等功能.系统测试表明,软件界面友好、功能齐全、可拓展性良好.

In complex networks, topological similarity based link prediction promotes the development of network science. Traditional researches consider that two unconnected endpoints have possibility to make a link if they possess large influence respectively. However, through profound investigations, we find that one endpoint with large influence also can attract other endpoints around. The phenomenon reveals that the mutual attractions between two unconnected endpoints depend on their combined influence instead of only single influence. Furthermore, previous researches pay more attention to the influence of endpoints with only degree considered. However, in quasi-local paths, we discover that synthesizing degree and H-index can more reliably capture the endpoints with great and extensive maximum connected subgraph, which can more possibly attract other unconnected endpoints. To sum up, we propose a model named combined hybrid influence connectivity index (CHIC) in this paper to explore its role on similarity based link prediction. The comparisons with eight mainstream indices are performed on experiments in twelve real data sets and the results show an improvement of prediction performance via CHIC index.

Link prediction based on topological similarity in complex networks obtains more and more attention both in academia and industry. Most researchers believe that two unconnected endpoints can possibly make a link when they have large influence, respectively. Through profound investigations, we find that at least one endpoint possessing large influence can easily attract other endpoints. The combined influence of two unconnected endpoints affects their mutual attractions. We consider that the greater the combined influence of endpoints is, the more the possibility of them producing a link. Therefore, we explore the contribution of combined influence for similarity-based link prediction. Furthermore, we find that the transmission capability of path determines the communication possibility between endpoints. Meanwhile, compared to the local and global path, the quasi-local path balances high accuracy and low complexity more effectually in link prediction. Therefore, we focus on the transmission capabilities of quasi-local paths between two unconnected endpoints, which is called effective paths. In this paper, we propose a link prediction index based on combined influence and effective path (CIEP). A large number of experiments on 12 real benchmark datasets show that in most cases CIEP is capable of improving the prediction performance.

Most heuristic algorithms for NP-hard combinatorial optimization problems require expertise in both the problem domains and heuristic methods. Recent research has begun to apply Deep Neural Network to learning heuristics for combinatorial optimization problems automatically. These works mainly focus problems with simple formulations, such as Travelling Salesman Problem and Vehicle Routing Problem defined on Euclidean graphs. This paper presents a novel deep reinforcement learning based algorithm for the Capacitated Arc Routing Problem which is defined on more complex non-Euclidean information graphs. The proposed approach is a combination of a Graph Convolutional Network and two encoder-decoder models. By regrading the negative objective values of CARP instances as the rewards, the proposed method optimizes the parameters with REINFORCE algorithm. In empirical experiments, the proposed method is able to generate solutions approximate optimal solutions well with much less time than heuristic algorithms.

当今时代,信息量呈爆炸式增长,推荐系统是处理海量信息的一种有效方式,也是一种无需用户提出明确需求就可帮助用户快速发现有用信息的工具.在推荐系统中,协同过滤算法有着重要应用.传统协同过滤算法通常使用余弦相似度公式进行兴趣相似度计算,但是很多情况下热门物品会影响到推荐结果,并不能较好地反映用户需求.文中对传统协同过滤算法余弦相似度计算公式提出改进方案,给出一个带有惩罚因子的余弦相似度修正公式,可以较好地抑制热门物品对用户实际相似度的影响,改善用户近邻集合的划分,从而实现更好的推荐效果.经实验测试,推荐系统的性能指标得到了一定的改善.

This paper proposed a maximum weight scheduling framework in wireless mesh network.In the framework,the virtual queues of coding packets (named "credit queue") are updated according to a credit assignment algorithm.A node chooses the way of encoding according to its credit queues to achieve network utility maximization and fair resource allocation between flows.A heuristic algorithm MiiCode was given.In this algorithm,no deterministic routing is needed,which makes it more flexible and helpful for finding more chances for inter-session coding.Intra-session's capacity of local reparation decreases the number of packets retransmitted from source nodes,and the total cost of the network is decreased.This paper compared MiiCode with COPE and LOR based on routing in simulation results of OMNET++.

基于Android系统开发一款为大众实现点对点信息交互的移动应用,主要解决用户由于地理位置等信息更替不及时造成的信息不对称问题.软件包括地图模块、用户模块、信息评价模块、菜单管理模块等.通过地图模块、GPS定位以及定点查询功能可以快速确定想了解的区域,与该区域的信息提供者建立联系并获取信息,还可根据服务质量作出评价.系统测试表明,该软件界面友好、功能齐全,具有良好的可拓展性.

"嵌入式移动平台应用开发"课程是电子信息科学与技术专业的专业课,以培养学生的嵌入式软件开发能力为目的.将Learning by doing教学模式应用到嵌入式移动平台应用开发课程中,通过改革授课方式、教学内容组织以及考核方式,使学生在做中理解所学的知识,融会贯通,实操能力和编程动手能力得到提高.通过实践,取得了良好的教学效果,培养了学生的创新精神和解决实际问题的能力.

文中设计并实现了一种低成本、快速响应的基于单片机的火灾自动报警系统.使用温度传感器与烟雾传感器实现对火灾的探测.将STC12C5A60S2单片机作为系统的主要控制芯片,同时通过三极管蜂鸣器,使用串口控制手机模块以实现声光、短信报警功能.同时还设计有使用电源管理芯片实现的主备电源切换功能.

数据结构课程是计算机相关专业的重要专业基础课程之一,以培养学生软件实践能力为目的,注重学生创造性思维的培养.本文将学生的差异性与教学结合起来,设定了一种"教学兼顾"的阶段式授课模式,以面向完整任务为宗旨,在教学过程中通过激活旧知识、演示新知识、应用新知识以及融会贯通四个阶段完成授课目标.通过实践,取得了良好的教学效果,培养了学生的创新精神和解决实际问题的能力.