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2020 Zooming Innovation in Consumer Technologies Conference (ZINC)最新文献

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IoT Device Multi-layer Connection Management Mechanism with Blockchain Smart Contracts 基于区块链智能合约的物联网设备多层连接管理机制
Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161437
Mohd Anuaruddin Bin Ahmadon, S. Yamaguchi
This paper proposes a connection management mechanism for IoT devices using blockchain smart contracts. In recent years, with the development of network technology, the number of devices connected to the network is increasing exponentially as the number of devices increases, the risk of attacks increases. Therefore, blockchain plays a vital role in protecting IoT systems. In this paper, we propose and discuss a decentralized connection management mechanism to eliminate the threat associated with IoT by using blockchain’s smart contract. We proposed a multi-layer management mechanism to reduce the cost of smart contract processing costs due to a large number of IoT devices. We also proposed a tool to manage the connection of IoT devices using smart contracts. In the evaluation, we evaluated our proposed management scheme by applying two types of connection structure i.e., hub-based layer and sink-based layer. The novelty of this method is the implementation of a hierarchical management system for each layer. The effectiveness is the reduction of the smart contact processing cost of devices that disconnects and reconnects to the network.
本文提出了一种基于区块链智能合约的物联网设备连接管理机制。近年来,随着网络技术的发展,接入网络的设备数量呈指数级增长,随着设备数量的增加,受到攻击的风险也随之增加。因此,区块链在保护物联网系统方面发挥着至关重要的作用。在本文中,我们提出并讨论了一种分散的连接管理机制,通过使用区块链的智能合约来消除与物联网相关的威胁。我们提出了一种多层管理机制,以降低由于物联网设备数量庞大而导致的智能合约处理成本。我们还提出了一个使用智能合约来管理物联网设备连接的工具。在评估中,我们采用两种连接结构,即基于hub的层和基于sink的层来评估我们提出的管理方案。该方法的新颖之处在于为每一层实现了分层管理系统。其有效性是降低断开和重新连接到网络的设备的智能接触处理成本。
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引用次数: 1
Implementation of the simple domain-specific language for system testing in V-Model development lifecycle 在V-Model开发生命周期中实现用于系统测试的简单领域特定语言
Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161781
S. Popic, Vanja Komadina, Ranka Arsenovic, Mia Stepanovic
This paper presents easy to use domain-specific language for system testing in V-model development lifecycle. The systematic approach offered by the domain-specific language for system testing eliminates miscommunications between testers and requirement engineers making the testing closer to the requirement engineers. This concept enables automation in the generation of the tests based on given System Requirements in the future. As many would argue on V-Model’s difficulty to align system requirements and system tests, this approach enables better mapping between those two parts of the V-diagram. This will make no functional requirement missing its counterpart in testing and vice-versa.
本文介绍了在v模型开发生命周期中易于使用的领域特定语言进行系统测试。领域特定语言为系统测试提供的系统方法消除了测试人员和需求工程师之间的误解,使测试更接近需求工程师。这个概念使将来基于给定的系统需求生成测试的自动化成为可能。正如许多人认为V-Model很难将系统需求和系统测试结合起来一样,这种方法可以更好地在v -图的这两个部分之间进行映射。这样就不会在测试中丢失相应的功能需求,反之亦然。
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引用次数: 0
Predicting Plant Water and Soil Nutrient Requirements 植物水分和土壤养分需求预测
Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161433
Ana Vesić, Vuk Ignjatović, Sava Lakićević, Luka Lakićević, Bojan Gutić, Hristo Skačev, Dušan Dotlić, A. Mićović, M. Jakovljević, M. Zivkovic
Agriculture is one of the most important sectors for any country, and it is one of the fields which could benefit most from the digitalization. Digitalization can be widely defined as the integrated use of aggregated data services and tools. It is considered to be a part of a fourth industrial revolution that relies on the fusion of a large number of different technologies which can erase the lines between physical, digital, and biological worlds. The emergence of drones, robots, remote sensors, data science, and Big Data, has been deeply influencing all aspects of farming and food.This paper describes in detail the development of a tool to be implemented in a future web platform called eAgro. The web platform will serve all members of agriculture to promote themselves and their products, to create a thriving environment for businesses, and to serve as an organizing tool in the large community of agricultural workers. The tool discussed in this paper analyses the weather conditions of an area, coupled with the soil analysis of land to give predictions and suggestions for crop growth and fertilization, using elements of data science and developed formulas. The paper contains the motivation for the idea, a detailed explanation of the methodology used, and the future potential of such a tool.
农业对任何国家来说都是最重要的部门之一,也是最能从数字化中受益的领域之一。数字化可以被广泛地定义为对聚合数据服务和工具的综合使用。它被认为是第四次工业革命的一部分,它依赖于大量不同技术的融合,可以消除物理,数字和生物世界之间的界限。无人机、机器人、遥感器、数据科学和大数据的出现,已经深刻地影响着农业和食品的各个方面。本文详细介绍了一个工具的开发,该工具将在未来的web平台eAgro中实现。该网络平台将为所有农业成员提供服务,以推广他们自己和他们的产品,为企业创造一个繁荣的环境,并作为大型农业工人社区的组织工具。本文讨论的工具分析一个地区的天气条件,结合土地的土壤分析,使用数据科学的元素和开发的公式,为作物生长和施肥提供预测和建议。这篇论文包含了这个想法的动机,所使用的方法的详细解释,以及这种工具的未来潜力。
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引用次数: 1
An Obstacle-Aware Mobility Model for Campus Delay Tolerant Network 校园容忍延迟网络的障碍物感知移动模型
Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161795
Sirajo Abdullahi Bakura, A. Lambert, Thomas Nowak
Mobility models are widely used for the evaluation of Delay Tolerant Networks (DTNs) performance, this mitigates the need for the model that can generate patterns that guarantee the contact opportunities for a reliable package forwarding. In this paper, we present a new mobility model that describes students’ daily activities in a campus environment. As opposed to the conventional models such as a Random walk, Random waypoint, Random direction, etc which uses a free space environment, our model includes obstacles of different shapes and sizes that obstruct movement and signal propagation. We evaluate the model using ONE simulator by comparing it with the Working Day Model and Random Waypoint. The model synthetically generates traces with the distribution of contact duration and inter-contact time similar to the distribution of real traces. We further investigate its impact on the performance of DTNs routing protocols and the result shows that, it performs better than the existing models in terms of average delivered message and message latency.
移动模型被广泛用于延迟容忍网络(dtn)性能的评估,这减少了对能够生成模式的模型的需求,以保证可靠的数据包转发的接触机会。在本文中,我们提出了一个新的流动性模型来描述学生在校园环境中的日常活动。与使用自由空间环境的传统模型(如Random walk, Random waypoint, Random direction等)不同,我们的模型包含了不同形状和大小的障碍物,这些障碍物阻碍了运动和信号的传播。我们使用ONE模拟器对模型进行评估,将其与工作日模型和随机路径点进行比较。该模型综合生成了与实际迹线分布相似的接触持续时间分布和接触间时间分布。我们进一步研究了它对DTNs路由协议性能的影响,结果表明,它在平均传递消息和消息延迟方面优于现有模型。
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引用次数: 2
Contact Tracing App for Containing Diseases Spread 控制疾病传播的接触者追踪应用程序
Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161820
Alexandru Hang, M. Dascalu, I. Stanica
When dealing with diseases spread, infectious epidemiologists play a vital role. To support them, but also to offer a self-protecting tool to everyone in the context of COVID- 19 pandemic, we propose a cross platform app to track the infected persons, by using their location history. The paper shortly presents the Covid-19 Contacts Tracker App working principle and technologies, as well as issues related to data privacy and security and how we solve them. We claim that the app might be useful in any diseases spread, not only in the current global situation.
在处理疾病传播时,传染病流行病学家起着至关重要的作用。为了支持他们,也为了在COVID- 19大流行的背景下为每个人提供一个自我保护的工具,我们提出了一个跨平台的应用程序,通过使用他们的位置历史来跟踪感染者。本文简要介绍了Covid-19联系人跟踪应用程序的工作原理和技术,以及与数据隐私和安全相关的问题以及我们如何解决这些问题。我们声称该应用程序可能对任何疾病传播都有用,而不仅仅是在当前的全球形势下。
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引用次数: 2
ZINC 2020 Author Index 锌2020作者索引
Pub Date : 2020-05-01 DOI: 10.1109/zinc50678.2020.9161794
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引用次数: 0
3G-Enabled Field Gateway for Collecting Industrial BLE Sensor Data 支持3g的现场网关,用于收集工业BLE传感器数据
Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161822
Sandra Ivanovic, Lazar Vukasović, Marija Antic, I. Papp
Sensory data from industrial and agricultural facilities represents a valuable source of information about the system state and operation. In order to collect and store this data, some of the already existing local networking IoT technologies can be used. However, industrial IoT solutions are often deployed in areas with limited Internet connectivity, and delivering this data to the cloud represents a challenge. In this paper, we propose the design of a field gateway device, deployed in the industrial IoT solution with BLE (Bluetooth Low Energy) sensors. The gateway stores BLE sensory data locally and periodically delivers it to the cloud using 3G cellular network connection.
来自工业和农业设施的传感数据是有关系统状态和运行的宝贵信息来源。为了收集和存储这些数据,可以使用一些已经存在的本地网络物联网技术。然而,工业物联网解决方案通常部署在互联网连接有限的地区,将这些数据传输到云端是一个挑战。在本文中,我们提出了一个现场网关设备的设计,部署在具有BLE(低功耗蓝牙)传感器的工业物联网解决方案中。网关在本地存储BLE传感数据,并使用3G蜂窝网络连接定期将其传送到云端。
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引用次数: 2
Implications of the unethical use of social networking in higher education 在高等教育中不道德地使用社交网络的影响
Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161810
L. Mâță, Ioana Boghian, Alexandra-Georgiana Poenaru, Cosmin Tomozei
The aim of our study consists in the analysis of the implications of the unethical use of social networking in academic environment. In the first part of the paper the key concept of unethical use of social networking is defined, which is a new term, following the extension of the significance of the unethical use of information technology. In the second part, there are analyzed the advantages and main issues of the unethical use of social networking. Also, there are highlighted the main implications from the psycho-social, pedagogical, and information technology perspective. In the last part of the paper, there are identified relevant solutions regarding the ethical use of social networking in higher education.
我们研究的目的在于分析在学术环境中不道德地使用社交网络的影响。在本文的第一部分中,定义了不道德使用社交网络的关键概念,这是继不道德使用信息技术的意义延伸之后的一个新名词。第二部分分析了社交网络不道德使用的优势和主要问题。此外,从心理社会、教学和信息技术的角度强调了主要的影响。在论文的最后一部分,有关于高等教育社会网络的道德使用确定相关的解决方案。
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引用次数: 0
Particle Swarm Optimization – Model Predictive Control for Microgrid Energy Management 微电网能量管理的粒子群优化模型预测控制
Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161790
Van Quyen Ngo, K. Al-haddad, K. Nguyen
Microgrid is becoming the most attractive solution for integrating distributed renewable sources into the utility grid. Such a system combines renewable generations with conventional distributed generations, storage systems, and loads in one entity operating in both isolated and grid-connected modes. However, it also associates with a high level of uncertainty and volatility following climatic conditions. Therefore, energy management strategies in operating MGs plays a crucial role in term of economic and reliability. This paper investigates a method applying constrained multi-swarm particle swarm optimization without velocity-based model predictive control to optimize the operation cost in small scale PV-MGs. The results are compared with the linear programming algorithm. The results show the effective modified particle swarm optimization embedded in the model predictive control algorithm performed well. The simulations are run over 24 hours ahead based on the forecast data of PV generation, load demands, and energy price.
微电网正在成为将分布式可再生能源整合到公用电网的最具吸引力的解决方案。这样的系统将可再生能源发电与传统的分布式发电、存储系统和负载结合在一个实体中,以隔离和并网模式运行。然而,它也与气候条件下的高度不确定性和波动性有关。因此,在运行过程中,能源管理策略在经济性和可靠性方面起着至关重要的作用。本文研究了一种不考虑基于速度的模型预测控制的约束多群粒子群优化方法,用于小型pv - mg的运行成本优化。结果与线性规划算法进行了比较。结果表明,将有效的修正粒子群优化嵌入到模型预测控制算法中,效果良好。基于光伏发电、负荷需求和能源价格的预测数据,模拟提前24小时运行。
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引用次数: 2
The Size And Weight Prediction For Intact Pineapples Using A Low Cost Vision System 利用低成本视觉系统预测完整菠萝的大小和重量
Pub Date : 2020-05-01 DOI: 10.1109/ZINC50678.2020.9161770
Hasan Ali Gamal Al-kaf, K. Chia, Faiz Ridwan Bin Abdul mubin
The ever-changing technology has shaped people’s way of life especially in the modern era of the business and agriculture sectors. Nowa days the price of pineapple depends on the size of the pineapple and also the type of pineapple that are related to the quality of pineapples. Different consumers have different desired size and weight of their purchased pineapples for their purposes. Consequently, traders and farmers need to sort the size of the pineapples to better understand the relationship among supplies and demands so that the values of pineapples can be maximized. Thus, this study proposes a system can automatically determine the size (i.e. length, diameter, and circumference) and the weight of pineapples to avoid laborious intensive and inconsistent manual sorting process that may deteriorate the consumers’ interest due to wrong sorted fruits. Different positions and sizes of pineapples were investigated and studied. The performance of the proposed system was compared with manual measurement method. Results indicate that the proposed system is promising to be further developed to automate the size and weight sorting process that can improve the interest of consumers.
不断变化的技术塑造了人们的生活方式,特别是在现代商业和农业领域。如今,菠萝的价格取决于菠萝的大小和菠萝的种类,这与菠萝的质量有关。不同的消费者对购买菠萝的大小和重量有不同的要求。因此,贸易商和农民需要对菠萝的大小进行分类,以更好地了解供需关系,从而使菠萝的价值最大化。因此,本研究提出了一种能够自动确定菠萝的大小(即长度、直径、周长)和重量的系统,以避免人工分拣过程的费力、密集和不一致,以免因分拣错误而损害消费者的利益。对菠萝的不同位置和大小进行了调查研究。将该系统的性能与人工测量方法进行了比较。结果表明,该系统有望进一步开发,以实现尺寸和重量分拣过程的自动化,从而提高消费者的兴趣。
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引用次数: 1
期刊
2020 Zooming Innovation in Consumer Technologies Conference (ZINC)
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