安卓平台上的医用图像信息采集系统的开发设计

为了探讨在安卓平台上构建医用图像采集系统的开发个案,分析通过以智能手机、平板电脑为核心安卓设备通过拍照获得化验单数据后进行文本识别并提交智慧医疗系统的解决方案。本文首先通过二值化算法形成低阈值图像数据,使用卷积神经元网络算法对文本进行逐一识别,使用K-means算法对识别后的单字文本进行字段记录值的整合并形成元数据库服务于其他智慧医疗系统模块。在使用9000组数据对神经元网络进行前期训练的前提下,该系统的识别准确率达到了99.5%以上。本系统具有一定的可行性,对未来智慧医疗的系统开发有实践意义。     

An immersive virtual reality serious game to enhance earthquake behavioral responses and post-earthquake evacuation preparedness in buildings

Enhancing the earthquake behavioral responses and post-earthquake evacuation preparedness of building occupants is beneficial to increasing their chances of survival and reducing casualties after the mainshock of an earthquake. Traditionally, training approaches such as seminars, posters, videos or drills are applied to enhance preparedness. However, they are not highly engaging and have limited sensory capabilities to mimic life-threatening scenarios for the purpose of training potential participants. Immersive Virtual Reality (IVR) and Serious Games (SG) as innovative digital technologies can be used to create training tools to overcome these limitations. In this study, we propose an IVR SG-based training system to improve earthquake behavioral responses and post-earthquake evacuation preparedness. Auckland City Hospital was chosen as a case study to test our IVR SG training system. A set of training objectives based on best evacuation practice has been identified and embedded into several training scenarios of the IVR SG. Hospital staff (healthcare and administrative professionals) and visitors were recruited as participants to be exposed to these training scenarios. Participants’ preparedness has been measured along two dimensions: 1) Knowledge about best evacuation practice; 2) Self-efficacy in dealing with earthquake emergencies. Assessment results showed that there was a significant knowledge and self-efficacy increase after the training. In addition, participants acknowledged that it was easy, helpful, and engaging to learn best evacuation practice knowledge through the IVR SG training system.     

Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows

Automatic synthesis of realistic gestures promises to transform the fields of animation, avatars and communicative agents. In off-line applications, novel tools can alter the role of an animator to that of a director, who provides only high-level input for the desired animation; a learned network then translates these instructions into an appropriate sequence of body poses. In interactive scenarios, systems for generating natural animations on the fly are key to achieving believable and relatable characters. In this paper we address some of the core issues towards these ends. By adapting a deep learning-based motion synthesis method called MoGlow, we propose a new generative model for generating state-of-the-art realistic speech-driven gesticulation. Owing to the probabilistic nature of the approach, our model can produce a battery of different, yet plausible, gestures given the same input speech signal. Just like humans, this gives a rich natural variation of motion. We additionally demonstrate the ability to exert directorial control over the output style, such as gesture level, speed, symmetry and spacial extent. Such control can be leveraged to convey a desired character personality or mood. We achieve all this without any manual annotation of the data. User studies evaluating upper-body gesticulation confirm that the generated motions are natural and well match the input speech. Our method scores above all prior systems and baselines on these measures, and comes close to the ratings of the original recorded motions. We furthermore find that we can accurately control gesticulation styles without unnecessarily compromising perceived naturalness. Finally, we also demonstrate an application of the same method to full-body gesticulation, including the synthesis of stepping motion and stance.     

语音录入系统在针织成品检验中的应用

介绍纺织面料成品检验语音输入系统的方案设计,通过语音识别与合成技术构建语音录入系统,通过自适应学习提高识别效率。阐述通过成品检验环境噪音测试、验布工人声音采集建立语音系统,以及该系统在语音验布上的应用。经过应用测试显示,使用语音系统代替手写录入可使疵点检验率从57%提升到73%。在针织成品检验中采用语音录入系统能够快速录入疵点信息,提高检验效率,进一步简化验布工操作流程,降低漏验和堵布风险,提高面料整体的质量控制能力。     

扫描地图的计算机自动识别

扫描地图的计算机自动识别是当今地图制图学科的前沿课题，也是其重要的研究方向。为此，本文首先将模式识别技术引入到地图制图领域中，提出了四种地图符号的计算机描述方法，然后又讨论了扫描地图的信息获取与处理，并具体地分析了扫描地图的计算机识别方法及其识别系统．最后还给出了相应的符号识别实验。     

产品色彩设计的特点及基本要求

在产品的色彩设计中,对于色彩的应用赋予时代性,用最先进的手段和工艺方法来表现产品的色彩效果。本文对产品色彩设计的特点及应遵守的基本要求,进行了论述。     

非金属矿纳米结构特征及应用

纳米结构特征是纳米材料产生奇特性能的基础 ,在天然产出的非金属矿物和岩石中 ,同样广泛存在着纳米结构特征。本文阐述了部分非金属矿物和岩石的纳米结构特征 ,以及利用这些纳米结构特征研制纳米矿物材料的加工制备技术与方法     

岩体破裂变形过程中AE时序特征研究

对室内岩石声发射试验的事件率与应力关系曲线、事件时序分布进行了分析,研究了岩体破裂变形过程与声发射事件时序分布特征之间的相关规律。现场监测结果表明,岩体破裂变形过程中的声发射信号是随机的,非周期性的,随着地质环境等改变而改变;岩体声发射事件主频时序参数突变,由小突然增大,或是在连续增加时突然减少,都是临近破坏的征兆,可作为预测、预报岩体破裂失稳的依据。     

园中园初探

文章从园中园的历史、特点和形态构成三个方面，对中国园林中颇具特色的园中园进行了探讨。论述了园中园的形成和发展，以及它在园林中的地位和作用，并以现存的园中园为依据，总结了园中园的空间组织形态。     

Influence of ozone-limonene reactions on perceived air quality

This study conducted short-term assessments of perceived air quality (PAQ) for six different realistic concentrations of ozone and limonene, separately or together, in room air. The impact of filtration and the influence of the ozone generation method were also examined. The evaluations were made in four identical 40 m3 low-polluting test offices ventilated at 1.4 h(-1) or in two identical 30 m3 stainless-steel chambers ventilated at 1.9 h(-1). Concentrations of ozone, total volatile organic compounds and size-fractionated particles were continuously monitored in each experiment. The results indicate that, for each of the six conditions, the PAQ was poorer when ozone and limonene were present together compared with when only ozone or only limonene was present. In the test offices a correlation was observed between the number of secondary organic aerosols produced by a given ozone/limonene condition and the sensory pollution load for that condition. The particles themselves do not appear to be the primary causative agents, but instead are co-varying surrogates for sensory offending gas-phase species. PRACTICAL IMPLICATIONS: Although the health consequences of long-term exposures to the products of ozone-initiated indoor chemistry remain to be determined, we judge that the sensory offending nature of selected products provides an additional reason to limit indoor ozone levels. Devices that emit ozone at significant rates should not be used indoors. Ozone-filtration of make-up air should also be beneficial in mechanically ventilated buildings located in regions that repeatedly violate outdoor ozone standards. Additionally, the use of limonene containing products should be curtailed during periods when indoor ozone levels are elevated.