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企业试图完成数字化转型,这是在竞争中谋求发展的必经之路。文章率先进行数字化转型特征、策略的概念分析,而后总结以此为背景的能力模型、企业管理能力与技术能力,最终以某公司案例完成体系构建与应用的阐述。 相似文献
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为推进病历数字化发展,并确保其信息的安全性,将以HIS电子病历系统为基础,采用安信数字签名技术和PKI或PMI系统搭建相信并加以任用的授权服务,经过针对实际的PKC和CA的确认、委托与管控构建整体的数字签名平台,完成电子病历数字签名功能设计,以加强电子文件的完整性、真实性和不可抵赖性。最后以某医院的XML结构化的电子病历系统为基础进行项目实施,完成了医护人员通过HIS的快速身份认证,和准确地数字签名。 相似文献
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In the past, thinking of carrying electronic devices inside our bodies was only posed by non-real scenarios. The emergence of insertable devices has changed this. Since this technology is still in its initial development stages, few studies have investigated factors that influence its acceptance. This paper analyzes the predictors of the intention to use non-medical insertable devices in two Latin American contexts. We used partial least squares structural equation modeling to examine whether six constructs predicted intention to use insertable devices. A questionnaire was administered to undergraduate students located in Colombia and Chile (n = 672). We also examined whether these predictors influenced intention differently for both of them. Four common constructs significantly and positively influenced both Chilean and Colombian respondents to use insertable devices (hedonic motivation, habit, performance expectancy, and social influence). Also, the habit has a complementary mediating effect on the relationship between social influence and behavioral intention. By contrast, effort expectations were a positive and significant predictor, but only among Chilean respondents. Findings suggest that when technologies are emerging, well-known predictors of intention (e.g., performance and effort expectations) are less influential than predictors related to self-efficacy (e.g., habit and hedonic motivation). The use of insertable devices has a significant impact on society. Thus, a better understanding of what motivates their use has implications for both academia and industry. 相似文献
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Vijayalakshmi A Rajesh Kanna B Vijayalakshmi C 《Microscopy research and technique》2022,85(2):685-696
Malaria is a major public health concern, affecting over 3.2 billion people in 91 countries. The advent of digital microscopy and Machine learning with the aim of automating Plasmodium falciparum diagnosis extensively depends on the extracted image features. The color of the cells, plasma, and stained artifacts influence the topological, geometrical, and statistical parameters being used to extract image features. During microscopic image acquisition, custom adjustments to the condenser and color temperature controls often have an influence on the extracted statistical features. But, our human visual system sub-consciously adjusts the color and retains the originality in a different lighting environment. Despite the use of appropriate image preprocessing, findings from the literature indicate that statistical feature variations exist, allowing the risk of P. falciparum misinterpretation. In order to eliminate this pervasive variation, the current work focuses on preprocessing the extracted statistical features rather than the prepossessing of the source image. It begins with the augmentation of series images for a microscopic field by inducing illumination variations during the microscopic image acquisition stage. A set of such image series is analyzed using a Nonlinear Regression Model to generalize the relationship between microscopic images acquired with variable ambient brightness and a specific feature. The projection point of the centroid feature onto the brightness parameter is identified in the model and it is denoted as the optimum brightness factor (OBF). Using the model, the feature correction factor (CF) is calculated from the rate of change of feature values over the interval OBF, and the brightness of the test image is processed. The present work has investigated OBF for selected image textural features, namely Contrast, Homogeneity, Entropy, Energy, and Correlation individually from its co-occurrence matrices. For performance analysis, the best state-of-the-art method uses selected texture as a subset feature to evaluate the effectiveness of P. falciparum malaria classification. Then, the impact of proposed feature processing is evaluated on 274 blood smear images with and without Feature Correction (FC). As a result, the “p” value is less than .05, which leads to the result that it is highly significant and the classification accuracy and F-score of P. falciparum malaria are increased. 相似文献
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彭家寅 《计算机工程与应用》2020,56(12):93-97
目的是利用高维量子纠缠态为量子信道,讨论未知单粒子态的受控隐形传输问题。以三维量子纠缠态为信道,提出一个二维任意单粒子态的受控隐形传输协议。提出了以任意[d]-维量子纠缠态为量子信道,[t]-维任意单粒子态的隐形传输协议[(t相似文献
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无线体域网中传输的是与生命高度相关的敏感数据,身份认证是信息安全保护的第一道防线。现有的基于人体生物信息的身份认证方案存在信息难提取、偶然性大和误差性大的问题,基于传统密码学的认证方案需较大计算资源和能量消耗,并不适用于无线体域网环境。为此,在动态口令和非对称加密机制基础上,提出一种适用于无线体域网的动态口令双向认证轻量协议,并对其进行形式化分析。通过理论证明、SVO逻辑推理及SPIN模型检测得出:该协议满足双向认证,且能够抵御重放攻击、伪装攻击、拒绝服务器攻击和口令离线攻击,具有较高安全性。 相似文献
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急倾斜特厚煤层巷道非对称变形机理 总被引:2,自引:0,他引:2
针对急倾斜特厚煤层回采巷道出现的非对称变形破坏,采用现场实测、力学建模计算及数值模拟揭示了急倾斜煤层巷道开挖后非对称变形破坏机理,分析了巷道开挖后应力场及塑性区分布特征,提出了可缩性U型钢与非对称性预应力锚杆(索)支护的全新支护加固方案。研究表明:① 巷道非对称破坏表现为坚硬岩层侧帮部沿层理下沉、滑移、内扩,煤体侧帮部挤出帮臌;坚硬岩层侧顶部下沉量大于煤体侧,巷道中轴线偏向煤体侧;② 巷道发生非对称的变形机理为:在非均布载荷的作用下,巷道两侧肩角支座反力的倾角及大小发生变化,坚硬岩层侧支座反力大于煤体侧,倾角为煤体侧大于坚硬岩层侧,坚硬岩层侧帮部在小角度大应力作用下沿层理滑移、下沉、内扩,煤体侧帮部在近乎垂直角度作用力下使帮部煤体挤出帮臌;③ 巷道从坚硬岩层侧向煤体侧弯矩一直增大,剪力呈现为先增大后减小再增大的趋势,且在二次增大时方向改变,方向改变处即为巷道轴线向煤体侧的偏移位置,轴力呈现为抛物线形式的先减小后增大,在非均布载荷作用下的巷道最优合理断面即为“非对称三铰斜拱”;④ 提出可缩性U型钢与非对称性预应力锚杆(索)支护,重点加强巷道煤体侧帮部及坚硬岩层侧顶部支护。 相似文献