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Strategic Deployment of Logistics Management with Diversity Characteristics Based on "Internet +" Environment 基于“互联网+”环境下多元化特色物流管理的战略部署
Yannan Li, Qian Wang
"Internet +" is the core feature of the current development of information technology. It has been achieved that the Internet and China's logistics industry recombined profoundly using information and communication technologies and Internet platforms. We can grasp more accurate and comprehensive the relationship between supply and demand through online real-time monitoring of procurement and distribution data, and minimize commodity inventory, reduce operating costs, simultaneously we can open up multiple sales channels, explore actively logistics innovation and development countermeasures in order to create a new model of diversified logistics management.
“互联网+”是当前信息技术发展的核心特征。利用信息通信技术和互联网平台,实现了互联网与中国物流业的深度融合。通过对采购和配送数据的在线实时监控,我们可以更准确、全面地掌握供需关系,最大限度地减少商品库存,降低运营成本,同时我们可以开辟多种销售渠道,积极探索物流创新发展对策,从而开创多元化物流管理的新模式。
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引用次数: 1
Influence of Air Pressure on Unidirectional Flow Operating Theatres: A Study Based on Computational Fluid Dynamics 空气压力对单向流手术室的影响:基于计算流体力学的研究
J. García-Sanz-Calcedo, Gonzalo Moreno, A. G. Gonzélez
In operating theatres, delicate control of room pressurization is required to ensure indoor environmental quality (IEQ). Establishing a differential pressure in the operating theatre with respect to the adjoining rooms allows protection against cross-contamination with the outside. To achieve this, a flow rate of less than the flow rate is mechanically extracted. In this work it evaluates what percentage values of extraction on the impulse are optimal to reach the recommended pressurization values. The results show that it would be appropriate to extract between 92% and 95% of the driven flow rate so that the pressurization value is in the recommended range.
在手术室中,为了保证室内环境质量,需要对室内压力进行精细控制。在手术室内建立一个相对于相邻房间的压差,可以防止与外界的交叉污染。为了实现这一目标,机械提取的流量小于流量。在这项工作中,它评估了在脉冲上提取的百分比值是达到推荐压力值的最佳值。结果表明,提取驱动流量的92% ~ 95%为宜,使增压值在推荐范围内。
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引用次数: 2
Challenges for Industrial Robot Applications in Food Manufacturing 工业机器人在食品生产中的应用挑战
Farah Bader, S. Rahimifard
The global food industry is facing many challenges due to the impact of climate change, ever-changing demands by consumers, and increasing legislative pressures by the government, which have resulted in several drivers for changes. Current large-scale rigid manufacturing systems are increasingly seen as incapable of supporting the underlining requirements for implementation of such changes. In this context, one of the key requirements is the need for improved flexibility and reconfigurability of production facilities, often provided by adoption of Industrial Robots in other manufacturing sectors. However, despite their recent technological advancements, in particular the advent of the 4th industrial revolution (Industry 4.0), and significant reduction in overall implementation cost over the last two decades, the uptake of industrial robots in food processing has been slow. This paper explores the application of industrial robots in food manufacturing, the benefits of their use and the challenges currently hindering their uptake.
由于气候变化的影响,消费者不断变化的需求以及政府不断增加的立法压力,全球食品行业正面临着许多挑战,这些挑战导致了几个变化的驱动因素。目前的大规模刚性制造系统越来越被认为无法支持实施这些变化的主要要求。在这种情况下,关键要求之一是需要提高生产设施的灵活性和可重构性,这通常通过在其他制造部门采用工业机器人来提供。然而,尽管它们最近的技术进步,特别是第四次工业革命(工业4.0)的出现,以及在过去二十年中总体实施成本的显着降低,但工业机器人在食品加工中的应用一直很慢。本文探讨了工业机器人在食品制造中的应用,其使用的好处和目前阻碍其吸收的挑战。
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引用次数: 27
Visualization of Vector Field using Line Integral Convolution based on Visual Perception 基于视觉感知的线积分卷积向量场可视化
Ying Ma, Yingyan Guo
In the field of flow visualization, the optimization of algorithms and the improvement of visual effects have always been the focus of researchers, in recent years many research and improvement algorithms for evaluating visualization quality have been proposed. However, in the process of algorithm implementation and quality evaluation, ambiguity of flow field direction and unclear description of vector field direction and size are often encountered, in order to solve this problem, an attempt is made to apply the theory of human visual perception to the evaluation of visualization results and the improvement of visualization effects, and on the basis of research by simulation of cyclone data, the two-dimensional line integral convolution algorithm for vector field visualization is studied.
在流动可视化领域,算法的优化和视觉效果的提高一直是研究者关注的焦点,近年来提出了许多用于可视化质量评价的研究和改进算法。然而,在算法实现和质量评价过程中,经常会遇到流场方向模糊、矢量场方向和大小描述不清的问题,为了解决这一问题,尝试将人类视觉感知理论应用于可视化结果的评价和可视化效果的改进,并在气旋数据模拟研究的基础上,研究了矢量场可视化的二维线积分卷积算法。
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引用次数: 2
Greedy Traffic Aware Routing Protocol Implementation in the Context of Internet of Vehicles 车联网环境下贪婪流量感知路由协议的实现
Belghachi Mohammed, Feham Mohamed
In full swing for a few years, Internet of Things (IoT) has affected many different sectors, including the automobile sector. IoT refers to the ability of physical object (such as a Vehicles) to communicate with a virtual object (such as a network of several vehicles). A question therefore arises: what impact will IoT have on the automotive world in the short term? From driving assistance to the improvement of autonomous Vehicles, via vehicle-to-vehicle communication, discover all that the Internet of Things could change in the automotive world. The problem is to study the availability, the reliability and the robustness of the communications between the agents of The Internet of Vehicles (IoVs). The dynamic nature of this kind of network presents communications constraints, namely frequent disconnections that can be an obstacle for the execution of applications in a vehicle. Indeed, some vehicles are sometimes isolated without the possibility of transmission and reception for an indefinite period of time. This situation affects the quality of service offered by IoV and therefore its usefulness. This paper first gives the impact of selecting Gytar parameters and performance comparison between GyTAR, and IGRP.
几年来,物联网(IoT)如火如荼地发展,影响了许多不同的行业,包括汽车行业。物联网是指物理对象(如车辆)与虚拟对象(如多辆汽车的网络)通信的能力。因此,一个问题出现了:物联网在短期内会对汽车行业产生什么影响?从驾驶辅助到自动驾驶汽车的改进,通过车对车的通信,发现物联网可以改变汽车世界的一切。问题是研究车联网智能体之间通信的可用性、可靠性和鲁棒性。这种网络的动态特性带来了通信限制,即频繁的断开连接可能成为车辆中应用程序执行的障碍。事实上,有些车辆有时被隔离,不可能无限期地发送和接收信号。这种情况影响了车联网提供的服务质量,从而影响了车联网的实用性。本文首先给出了Gytar参数选择的影响以及Gytar与IGRP的性能比较。
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引用次数: 2
3D Copier Using Liquid/Solid Phase Change 使用液体/固体相变的3D复印机
Mitsuharu Matsumoto
This paper describes a 3D copier using liquid/solid phase change. 3D printer becomes common in recent years. Although various structures can be created by using 3D printer, it requires sophisticated technical skills such as 2D or 3D CAD design. It is difficult for general people to design desired structures by using CAD software. A 3D copier using low-melting alloy is proposed to solve the problem. The proposed 3D copier can sense the shape of the desired structure and memorize its shape to copy it. We can use it as a casting mold to copy the desired structure. We confirmed that the proposed 3D copier could copy various structures easily and fast through the experiments.
本文介绍了一种利用液相/固相变化的三维复印机。3D打印机近年来变得普遍。虽然使用3D打印机可以创建各种结构,但它需要复杂的技术技能,如2D或3D CAD设计。对于一般人来说,用CAD软件设计出理想的结构是很困难的。为了解决这一问题,提出了一种使用低熔点合金的3D复印机。所提出的三维复印机可以感知所需结构的形状,并记住其形状进行复制。我们可以用它作为一个铸造模具来复制所需的结构。通过实验,我们证实了所提出的3D复印机可以轻松快速地复制各种结构。
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引用次数: 0
Chinese News Text Multi Classification Based on Naive Bayes Algorithm 基于朴素贝叶斯算法的中文新闻文本多分类
Fei Wang, Xin Deng, Lunqing Hou
With the development of Internet, there are more and more text data appear, the companies face the challenge to organize the content and the users feel confused about what is useful content for them. If the text data can be classified will make a contribution to solve the problem. It has been a long time, text classification work is done by human beings, like editors. So text classification become a hot topic in nature language processing field, especially for Chinese text classification. Sentiment classification just need to classify two classes, but there are more situations where we need to do multi classification. Such as the news editors have to give an article tags manually. There are several ways to solve the text classification problem: (1) Naive Bayes algorithm (2) support vector machine algorithm (3) neural network (4) k nearest neighbors (5) decision tree [1][2][3][4][5]. Naive Bayes applies Bayes' theorem with strong(naive) independence assumptions between the features. This paper proposes to use Naive Bayes to finish a Chinese news text multi classification with nine classes.
随着互联网的发展,出现了越来越多的文本数据,企业面临着内容组织的挑战,用户对什么是对自己有用的内容感到困惑。如果能对文本数据进行分类,将为解决这一问题做出贡献。很长一段时间以来,文本分类工作都是由编辑等人来完成的。因此,文本分类成为自然语言处理领域的研究热点,尤其是中文文本分类。情感分类只需要对两个类进行分类,但在更多的情况下,我们需要进行多重分类。比如新闻编辑必须手动给一篇文章加标签。解决文本分类问题的方法有几种:(1)朴素贝叶斯算法(2)支持向量机算法(3)神经网络(4)k近邻(5)决策树[1][2][3][4][5]。朴素贝叶斯将贝叶斯定理应用于特征之间的强(朴素)独立性假设。本文提出用朴素贝叶斯方法完成一个中文新闻文本的九类多分类。
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引用次数: 1
A Study of Cache Management Mechanisms for Real-Time Embedded Systems 实时嵌入式系统的缓存管理机制研究
M. Dohan, Michael Opoku Agyeman
Due to the rapid development in the technology, embedded systems have an effective part in controlling and managing variety of hardware and software systems. These systems plan to solve problems that make embedded systems become more complex than before. The majority of embedded systems are currently intended to be more interactive with the environment and process data in real-time in order to fulfil requirements that recruited for. Thus, this requires a high speed of processing data to produce an output. Hence multicore processors are usually employed in embedded system design. To ensure that embedded systems as processing units work perfectly to finish a task with expecting the Worst-Case Execution Time (WCET). A considerable number of researches have been done to handle cache memory organization for multicore processor units in real-time embedded systems. To this end, this paper presents a study of cache management techniques in real-time embedded systems.
由于嵌入式技术的迅速发展,嵌入式系统在控制和管理各种硬件和软件系统方面发挥了有效的作用。这些系统计划解决使嵌入式系统变得比以前更复杂的问题。目前,大多数嵌入式系统都旨在与环境和实时处理数据进行更多的交互,以满足招聘的需求。因此,这需要高速处理数据以产生输出。因此,在嵌入式系统设计中通常采用多核处理器。确保作为处理单元的嵌入式系统在预期的最坏情况执行时间(WCET)下完美地完成任务。针对实时嵌入式系统中多核处理器单元的缓存组织问题,已经进行了大量的研究。为此,本文对实时嵌入式系统中的缓存管理技术进行了研究。
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引用次数: 2
Automated Scoring of Multiple-Choice Test Using Template Matching Technique 使用模板匹配技术的多项选择测试自动评分
H. Tjahyadi, Samuel Lukas, Steven Albert, D. Krisnadi
In this paper, design and implementation of automated scoring of multiple-choice test using template matching technique is reported. In the proposed method an Android based smart-phone is used to identify the presence of X-mark in the answer sheet, instead of identify which circle in the answer sheet is blackened as usually do in the widely known solution using Optical Mark Reader (OMR). Cost and practicality wise, the usage of smart-phone compared to OMR is expected to increase the accessibility to automated scoring of multiple-choice test. Furthermore, the identification of X-mark opens the possibility for students to change their answer easier by making corrected X-mark and then placing a new X-mark in another blank square compared to wipe a blackened circle and filling a new circle. Four main stages are involved in the implementation, namely image preparation stage, blank squares position determination stage, X-mark detection stage, and evaluation stage. After those stages are implemented, tests are conducted to find the best distance and angle of the smart phone to the answer sheet in taking the answer sheet's images, and to evaluate the accuracy in identifying right answers and gives valid scoring. The success rate of recogntion the answer is at least 99%.
本文介绍了基于模板匹配技术的选择题自动评分系统的设计与实现。在本文提出的方法中,使用基于Android的智能手机来识别答题纸上是否存在x标记,而不是像通常使用光学标记阅读器(OMR)那样识别答题纸上的哪个圆圈被涂黑。在成本和实用性方面,与OMR相比,智能手机的使用有望增加多项选择题自动评分的可及性。此外,x标记的识别为学生提供了更容易更改答案的可能性,与擦黑圆圈并填充新圆圈相比,在另一个空白方块上做正确的x标记然后放置新的x标记。实现过程主要分为四个阶段,即图像准备阶段、空白方块位置确定阶段、x标记检测阶段和评价阶段。在这些阶段完成后,进行测试,以找出智能手机在拍摄答题卡图像时与答题卡的最佳距离和角度,并评估识别正确答案的准确性并给出有效评分。识别答案的成功率至少为99%。
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引用次数: 2
A Study of the Advances in IoT Security 物联网安全进展研究
A. Dean, Michael Opoku Agyeman
The Internet-of-things (IoT) holds a lot of benefits to our lives by removing menial tasks and improving efficiency of everyday objects. You are trusting your personal data and device control to the manufactures and you may not be aware of how much risk your putting your privacy at by sending your data over the internet. The internet-of-things may not be as secure as you think when the devices used are constrained by a lot of variables which attackers can exploit to gain access to your data / device and anything they connected to and as the internet-of-things is all about connecting devices together one weak point can be all it takes to gain full access. In this paper we have a look at the current advances in IoT security and the most efficient methods to protect IoT devices.
物联网(IoT)通过消除琐碎的任务和提高日常物品的效率,为我们的生活带来了很多好处。您将您的个人数据和设备控制权交给制造商,您可能没有意识到通过互联网发送您的数据会给您的隐私带来多大的风险。当使用的设备受到许多变量的限制时,物联网可能不像你想象的那么安全,攻击者可以利用这些变量来访问你的数据/设备和他们连接的任何东西,因为物联网是关于将设备连接在一起的,一个弱点可能是获得完全访问所需要的。在本文中,我们将介绍物联网安全的当前进展以及保护物联网设备的最有效方法。
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引用次数: 20
期刊
Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control
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