医院信息系统项目管理的现状与突破

自20世纪90年代以来,我国医院信息系统发展迅速。到目前为止,全国绝大部分医院实现了信息化管理,并且逐步向区域医疗信息资源共享模式迈进。在医院信息化建设进程中,随着信息系统规模日益庞大,信息管理部门对它的驾驭能力捉襟见肘,原有粗放式的管理模式已远不能适应工作需要。有必要重新审视医院信息系统项目管理模式,实现新的突破。本文以医院信息科为视角,探讨将项目管理九大手段运用到医院信息系统项目建设过程中的作用及效果。     

基于仿控一体化系统的PCS实时控制研究

介绍基于数字DSP2812的PCS主电路原理和控制方法,并由该电路拓扑结构建立数学方程式与仿真的统一模型,使用MATLAB中的Embedded Coder工具箱,对该系统进行实时仿真和直接生成控制代码,进而实现PCS测控算法和动态过程的仿真与控制一体化设计.     

图书馆内数字信息自动化处理与应用

数字技术是图书馆现代化建设的主流趋势,高端科技用于图书馆内改造实现了优化配置,加快了馆内信息资源的科技化改革进程。本文分析了数字图书馆应用特点,分析了数字信息自动化处理系统的结构模式,提出切实可行的操作应用方法。     

浅析数字内容的版权保护与建议

数字技术的迅速发展和广泛应用,互联网、电信移动网络等新兴传输方式和手机、机顶盒、电脑等多媒体终端极大地拓展了数字内容的传输范围。数字内容版权保护的问题日益突出,本文从立法和技术角度阐释了数字内容的版权保护,并提出了数字内容版权保护的建议。     

由计算机技术与数字艺术专业的关系引发的思考

近年来,广东省把动漫、会展等专业作为新兴行业,在全省技工院校进行免费招生,即省财政给予这些专业相应的财政补贴,学生则可以免交约两年学费。为此,广东省各级技工院校多数都开设了这类专业并进行招生,其中有一些已经拥有这类专业几十年办学经验的院校,也不乏有依靠政策支持儿新开设这类专业的院校。数字艺术是建立在电脑硬件和数字艺术软件基础之上的,所以数字艺术的发展也依附它们,也有很多软件公司走在了前面,随着各国的经济明显好转,产品开发的脚步正在加快,商业美术设计领域将进一步获得巨大发展,相对应的必然是需求大量专业人才,Graphic Design显然是具有灿烂的就业前景。     

改造医院信息系统加强医院控费管理

通过对各检查科室程序和HIS系统部分程序修改,只有交费或记账的患者才能打印报告,从而使得漏费控制从"事后控制"转变为"事前控制",为医院创造可观的经济效益。同时实现了两者无缝联接,达到信息共享。     

基于FCN-LSTM的工业烟尘图像分割

工业生产中常根据林格曼烟气黑度判断工业烟尘的污染等级,一种有效的方式是应用计算机视觉系统对工业烟尘进行监测, 其中对烟尘目标进行准确分割是该系统的关键技术。因为工业烟尘具有形状不固定、和云相似度高等特点,现有算法在复杂场景下对烟尘进行分割时容易受到干扰,分割准确度有待提高。针对这一问题,提出一种基于FCN-LSTM的工业烟尘图像分割方法,在全卷积网络对图像空间特征提取的基础上,使用长短时记忆网络提取图像序列的时间信息,通过烟尘的动态特征对运动的烟尘和背景进行区分,增强复杂场景下的抗干扰能力。实验表明,本文模型相比于全卷积网络,在复杂场景下的抗干扰能力有显著提升,能够有效克服来自云的干扰,对全卷积网络分割结果中易出现干扰点的问题也有改善,IoU指标最高有8.04%的提升。     

应用型本科院校“数字图像处理”教学研究与改进

"数字图像处理"是电子信息类专业的基础课程具有很强理论性和工程应用性。根据培养高素质应用型人才的培养目标以及课程思政的要求,分析当前教学模式中存在的问题和不足,提出旨在提高教学质量和人才培养质量的方法和措施。教学改革措施增强了学生对该课程的学习兴趣和主动性,培养了学生的爱国情怀、创新思维,提升了学生的实际工程能力,且提高了教学质量。     

Mobilising information systems scholarship for a circular economy: Review,synthesis, and directions for future research

One of today's grand societal challenges is to replace the current ‘take‐make‐waste’ economic model with a circular economic model that allows a gradual decoupling of economic activities from the consumption of finite virgin resources. While circular economy (CE) scholars have long lauded digital technologies such as sensors, distributed ledgers, or platforms as key enablers, our own community has not fully explored the potentials of information systems (IS) for a CE. Considering recent technological advances in software and hardware and our history of helping address wicked challenges, we believe the time is ripe to mobilise IS scholarship for a CE. Our findings from an interdisciplinary literature review show that research has primarily examined IS potentials for increasing efficiency of isolated intra‐organisational processes while neglecting the larger sustainability potential of IS to establish circular material flows—that is, slow down and close material loops across entire product lifecycles. In response, we propose directions for IS research that develop our knowledge of how IS can help understand and enact circular material flows to intensify and extend use of products and components and recycle waste materials. Our directions offer pathways to building and evaluating the problem‐solution pairing that could characterise a prolific CE‐IS relationship.     

Evolutionary digital twin: A new approach for intelligent industrial product development

To fulfill increasingly difficult and demanding tasks in the ever-changing complex world, intelligent industrial products are to be developed with higher flexibility and adaptability. Digital twin (DT) brings about a possible means, due to its ability to provide candidate behavior adjustments based on received “feedbacks” from its physical part. However, such candidate adjustments are deterministic, and thus lack of flexibility and adaptability. To address such problem, in this paper an extended concept – evolutionary digital twin (EDT) and an EDT-based new mode for intelligent industrial product development has been proposed. With our proposed EDT, a more precise approximated model of the physical world could be established through supervised learning, based on which the collaborative exploration for optimal policies via parallel simulation in multiple cyberspaces could be performed through reinforcement learning. Hence, more flexibility and adaptability could be brought to industrial products through machine learning (such as supervised learning and reinforcement learning) based self-evolution. As a primary verification of the effectiveness of our proposed approach, a case study has been carried out. The experimental results have well confirmed the effectiveness of our EDT based development mode.