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1.
[目的]以GPRS无线路由技术以及中国移动ONE-NET平台为核心,研制一套实验室快速温变箱远程监控平台,以达到实验室的无人值守与远程手机APP监控功能.[方法]采用中国移动M8321P型号的GPRS无线路由模块,组合STM32单片机以及W5500网络模块从银河快速温变箱以太网端口读写控制命令,依托ONE-NET物联网... 相似文献
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In recent times, the evolution of blockchain technology has got huge attention from the research community due to its versatile applications and unique security features. The IoT has shown wide adoption in various applications including smart cities, healthcare, trade, business, etc. Among these applications, fitness applications have been widely considered for smart fitness systems. The users of the fitness system are increasing at a high rate thus the gym providers are constantly extending the fitness facilities. Thus, scheduling such a huge number of requests for fitness exercise is a big challenge. Secondly, the user fitness data is critical thus securing the user fitness data from unauthorized access is also challenging. To overcome these issues, this work proposed a blockchain-based load-balanced task scheduling approach. A thorough analysis has been performed to investigate the applications of IoT in the fitness industry and various scheduling approaches. The proposed scheduling approach aims to schedule the requests of the fitness users in a load-balanced way that maximize the acceptance rate of the users’ requests and improve resource utilization. The performance of the proposed task scheduling approach is compared with the state-of-the-art approaches concerning the average resource utilization and task rejection ratio. The obtained results confirm the efficiency of the proposed scheduling approach. For investigating the performance of the blockchain, various experiments are performed using the Hyperledger Caliper concerning latency, throughput, resource utilization. The Solo approach has shown an improvement of 32% and 26% in throughput as compared to Raft and Solo-Raft approaches respectively. The obtained results assert that the proposed architecture is applicable for resource-constrained IoT applications and is extensible for different IoT applications. 相似文献
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物联网被称为继计算机、互联网之后信息产业革命的第三次浪潮。本文从企业面临的物联网标准与知识产权现状入手。解析了企业实施标准与知识产权战略的三部曲,提出了企业、政府、机构合力推进物联网标准与知识产权结合发展的策略。 相似文献
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Consumer demand for Internet of Things (IoT) devices is projected to continue its lucrative acceleration despite growing cybersecurity concerns and incidents reported in the public press. We explore this apparent anomaly through a model, based on the relevant literature, casting consumers’ IoT Purchase Intention as driven by their pre-existing IoT Risk Knowledge, their level of IoT-related Security Concern, and their device-specific perceptions of Riskiness and Coolness. Based on this model, we collected survey data gauging Purchase Intention for four products varying in Riskiness and Coolness levels. Our analysis extends prior research by confirming the negative influence of IoT Risk Knowledge, implicating it as an emerging drag on IoT consumer demand growth. We further confirm the expected effects of Device Riskiness (negative) and Coolness (positive) as primary factors and we note the cognitive dissonance implied by the inherent IoT device trade-off: greater Coolness tends to come at the price of greater Riskiness. In this trade-off, Coolness mattered more for consumers with lower IoT Security Concern suggesting greater susceptibility to the “wow” factor as offsetting or even distracting from the associated risk. This work contributes to the literature by confirming antecedents and revealing subtleties in the interplay of general and device-specific factors affecting consumer IoT Purchase Intention, shedding light on the feature-attraction/risk-avoidance paradox and identifying implications for both research and practice as the marketplace and consumer perceptions co-evolve going forward. 相似文献
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The products of the fourth industrial revolution will come in the Internet of Things (IoT) architecture. They will be unified cyber-physical entities. A fallout of this paradigm is that our orthodox conceptions of private property and ownership will come under stress in ways not experienced before. The rights and boundaries of ownership will become obfuscated and hard to demarcate in the IoT-world. In this paper, we explore these issues from historical and theoretical perspectives to speculate on possible institutional and policy arrangements to manage the challenge. Towards this end, we propose a threshold utility principle of ownership that can serve as the starting point of addressing the private property and ownership challenge in the emergent IoT world. 相似文献
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目的研究商品在包装功能发生改变时如何尽量减少二次包装给资源和环境造成的浪费和污染。方法结合目前市场上的商品包装形式,探析在物联网时代背景下的商品包装,明确研究的目的与意义。结论物流功能方面尝试减少物流过程中的二次包装,减少包装材料的浪费和二次污染;市场需求方面包装设计为了满足物流需要应在包装纹饰上简约、明了,这有利于节约成本。物联网时代包装的发展出现了信息化和互动性的新趋向,信息化体现在能够准确查询物品的位置信息、物品安全、物品送达以及库存信息;互动性体现在包装设计中应充分考虑包装的信息功能,从消费者的角度出发,通过利用物联网技术融入互动性的元素,寻求商品与消费者之间的情感交流。 相似文献
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Yuzhen Liu Xiaoliang Wang Xinghui She Ming Yi Yuelong Li Frank Jiang 《计算机、材料和连续体（英文）》2021,69(2):2261-2276
An intelligent mosquito net employing deep learning has been one of the hotspots in the field of Internet of Things as it can reduce significantly the spread of pathogens carried by mosquitoes, and help people live well in mosquito-infested areas. In this study, we propose an intelligent mosquito net that can produce and transmit data through the Internet of Medical Things. In our method, decision-making is controlled by a deep learning model, and the proposed method uses infrared sensors and an array of pressure sensors to collect data. Moreover the ZigBee protocol is used to transmit the pressure map which is formed by pressure sensors with the deep learning perception model, determining automatically the intention of the user to open or close the mosquito net. We used optical flow to extract pressure map features, and they were fed to a 3-dimensional convolutional neural network (3D-CNN) classification model subsequently. We achieved the expected results using a nested cross-validation method to evaluate our model. Deep learning has better adaptability than the traditional methods and also has better anti-interference by the different bodies of users. This research has the potential to be used in intelligent medical protection and large-scale sensor array perception of the environment. 相似文献
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With the emergence of the Internet of things (IoT), embedded systems have now changed its dimensionality and it is applied in various domains such as healthcare, home automation and mainly Industry 4.0. These Embedded IoT devices are mostly battery-driven. It has been analyzed that usage of Dynamic Random-Access Memory (DRAM) centered core memory is considered the most significant source of high energy utility in Embedded IoT devices. For achieving the low power consumption in these devices, Non-volatile memory (NVM) devices such as Parameter Random Access Memory (PRAM) and Spin-Transfer Torque Magnetic Random-Access Memory (STT-RAM) are becoming popular among main memory alternatives in embedded IoT devices because of their features such as high thickness, byte addressability, high scalability and low power intake. Additionally, Non-volatile Random-Access Memory (NVRAM) is widely adopted to save the data in the embedded IoT devices. NVM, flash memories have a limited lifetime, so it is mandatory to adopt intelligent optimization in managing the NVRAM-based embedded devices using an intelligent controller while considering the endurance issue. To address this challenge, the paper proposes a powerful, lightweight machine learning-based workload-adaptive write schemes of the NVRAM, which can increase the lifetime and reduce the energy consumption of the processors. The proposed system consists of three phases like Workload Characterization, Intelligent Compression and Memory Allocators. These phases are used for distributing the write-cycles to NVRAM, following the energy-time consumption and number of data bytes. The extensive experimentations are carried out using the IoMT (Internet of Medical things) benchmark in which the different endurance factors such as application delay, energy and write-time factors were evaluated and compared with the different existing algorithms. 相似文献
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Smart Farming is the application of modern technologies, tools and gadgets for increasing the agricultural crops quality and quantity. The Internet of Things (IoT) technology has had a prominent role in the establishment of smart farming. However, the application of this technology could be hard and, in some cases, challenging for the Middle Eastern users. Therefore, the research purpose is to identify the influential factors in the adoption and then application of IoT in smart farming by farmers with a contextualized approach in Iran, a typical Middle Eastern country. Thus, the Unified Theory of Acceptance and Use of Technology (UTAUT) has contextually been used as the theoretical model of the research. The results accentuated and proved the positive impacts of performance expectancy (H1), effort expectancy (H2), social influence (H3), individual factors (H4), and facilitating conditions (H5), on the intention to use IoT technology. Ultimately, the results were indicating the significant impact of behavioral intention on the actual usage of IoT technology (H6). One of the implications of the research is for the IT policymakers in the agricultural sector in the Middle East, where water and cultivable land are two valuable but scarce economic resources. Hence, smart farming could not be promoted unless the farmers had fulfilled its prerequisite factors proposed by the research results for using the IoT technology. 相似文献
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The Internet has become an unavoidable trend of all things due to the rapid growth of networking technology, smart home technology encompasses a variety of sectors, including intelligent transportation, allowing users to communicate with anybody or any device at any time and from anywhere. However, most things are different now. Background: Structured data is a form of separated storage that slows down the rate at which everything is connected. Data pattern matching is commonly used in data connectivity and can help with the issues mentioned above. Aim: The present pattern matching system is ineffective due to the heterogeneity and rapid expansion of large IoT data. The method requires a lot of manual work and has a poor match with real-world applications. In the modern IoT context, solving the challenge of automatic pattern matching is complex. Methodology: A three-layer mapping matching is proposed for heterogeneous data from the IoT, and a hierarchical pattern matching technique. The feature classification matching, relational feature clustering matching, and mixed element matching are all examples of feature classification matching. Through layer-by-layer matching, the algorithm gradually narrows the matching space, improving matching quality, reducing the number of matching between components and the degree of manual participation, and producing a better automatic mode matching. Results: The algorithm's efficiency and performance are tested using a large number of data samples, and the results show that the technique is practical and effective. Conclusion: the proposed algorithm utilizes the instance information of the data pattern. It deploys three-layer mapping matching approach and mixed element matching and realizes the automatic pattern matching of heterogeneous data which reduces the matching space between elements in complex patterns. It improves the efficiency and accuracy of automatic matching. 相似文献
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目的以物联网微波炉为例,探讨用户体验目标的构建方法。方法分析用户体验及用户体验目标,提出了基于PTCA的用户体验目标构建方法。探讨了物联网微波炉的目标用户、相关技术、使用场景及相关事件;基于典型事件,构建了主要和次要人物角色的事件模型;通过事件集的事件节点目标汇总,运用卡片法,进行多级聚类和抽象,获取了物联网微波炉的三级用户体验目标并进行了目标释义。结论在设计模糊前期,能够通过事件模型分析,利用DOWN-UP研究方法有效地构建用户体验目标,并为设计提供指导。 相似文献
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Abdallah Abdallah Ayman A. Aly Bassem F. Felemban Imran Khan Ki-Il Kim 《计算机、材料和连续体（英文）》2022,72(1):157-179
The Internet of Things (IoT) has allowed for significant advancements in applications not only in the home, business, and environment, but also in factory automation. Industrial Internet of Things (IIoT) brings all of the benefits of the IoT to industrial contexts, allowing for a wide range of applications ranging from remote sensing and actuation to decentralization and autonomy. The expansion of the IoT has been set by serious security threats and obstacles, and one of the most pressing security concerns is the secure exchange of IoT data and fine-grained access control. A privacy-preserving multi-dimensional secure query technique for fog-enhanced IIoT was proposed in light of the fact that most existing range query schemes for fog-enhanced IoT cannot provide both multi-dimensional query and privacy protection. The query matrix was then decomposed using auxiliary vectors, and the auxiliary vector was then processed using BGN homomorphic encryption to create a query trapdoor. Finally, the query trapdoor may be matched to its sensor data using the homomorphic computation used by an IoT device terminal. With the application of particular auxiliary vectors, the spatial complexity might be efficiently decreased. The homomorphic encryption property might ensure the security of sensor data and safeguard the privacy of the user's inquiry mode. The results of the experiments reveal that the computing and communication expenses are modest. 相似文献
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With the rapid development of cloud computing and Internet of Things (IoT) technology, massive data raises and shuttles on the network every day. To ensure the confidentiality and utilization of these data, industries and companies users encrypt their data and store them in an outsourced party. However, simple adoption of encryption scheme makes the original lose its flexibility and utilization. To address these problems, the searchable encryption scheme is proposed. Different from traditional encrypted data search scheme, this paper focuses on providing a solution to search the data from one or more IoT device by comparing their underlying numerical values. We present a multi-client comparable search scheme over encrypted numerical data which supports range queries. This scheme is mainly designed for keeping the confidentiality and searchability of numeric data, it enables authorized clients to fetch the data from different data owners by a generated token. Furthermore, to rich the scheme’s functionality, we exploit the idea of secret sharing to realize cross-domain search which improves the data’s utilization. The proposed scheme has also been proven to be secure through a series of security games. Moreover, we conduct experiments to demonstrate that our scheme is more practical than the existed similar schemes and achieves a balance between functionality and efficiency. 相似文献
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Chaining watermark is an effective way to verify the integrity of streaming data in wireless network environment, especially in resource-constrained sensor networks, such as the perception layer of Internet of Things applications. However, in all existing single chaining watermark schemes, how to ensure the synchronization between the data sender and the receiver is still an unsolved problem. Once the synchronization points are attacked by the adversary, existing data integrity authentication schemes are difficult to work properly, and the false negative rate might be up to 50 percent. And the additional fixed group delimiters not only increase the data size, but are also easily detected by adversaries. In this paper, we propose an effective dual-chaining watermark scheme, called DCW, for data integrity protection in smart campus IoT applications. The proposed DCW scheme has the following three characteristics: (1) In order to authenticate the integrity of the data, fragile watermarks are generated and embedded into the data in a chaining way using dynamic grouping; (2) Instead of additional fixed group delimiters, chained watermark delimiters are proposed to synchronize the both transmission sides in case of the synchronization points are tampered; (3) To achieve lossless integrity authentication, a reversible watermarking technique is applied. The experimental results and security analysis can prove that the proposed DCW scheme is able to effectively authenticate the integrity of the data with free distortion at low cost in our smart meteorological Internet of Things system. 相似文献
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目的 探究响应物联化、共享化时代趋势的可循环再利用快递包装。方法 通过对现有快递行业包装方式和缓冲材料的比较,对国内外快递包装行业现存的问题及解决方案进行分析,结合物联化时代背景下快递产业的硬件设施（如提货柜等）要求,找到快递包装循环利用和包装耗材减量化的切入点。结果 快递包装的可循环和减量化设计需要结合外部环境和包装本身（包括外部包装盒和内部缓冲材料）,将其作为整体来进行考量。结论 该设计方案利用缓冲材料自身结构对被寄物做缓冲保护,减少了不必要的包装材料浪费,随取随用,实现了快递包装的标准化和包装耗材的减量化。 相似文献
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为了适应物联网产业的快速发展趋势,满足电梯安全监管领域的规模应用需求,本文介绍了我国电梯物联网应用标准化的建设背景与现状,结合物联网应用建设特点和标准化系统工程要求,提出了城市电梯物联网应用标准化建设框架思路,对各类标准和法律规范的具体建设内容给予了初步建议。 相似文献
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从简单的对讲系统,到如今的智能化小区,经过了十几年的波折发展,我国的智能小区应用与产业都走到了新的阶段。在光网城市、智慧城市、物联网、智能电网等各种战略推动下,＂城市改变生活＂已经不只是一个口号,宽带已经给我们带来了看得见的改变,家庭已经成为了国家电网、电信运营商、广电运营商的必争之地。而拨开笼罩在家庭网路头上的各种炒作迷雾,各方势力都看到了家庭在未来市场上的巨大潜力。 相似文献
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目的 解决生产扰动给混单包装线带来的交货期延误、成本额外增加等问题.方法 将传统的混单包装线物联网化,实现生产资源的实时感知,及时获取生产现场的真实信息;面向物联型混单包装线的生产环境,基于数字孪生体系构建起物理世界与数字世界的联系,通过物联网的实体感知和网络的信息传输形成孪生数据集,建立孪生数据驱动的混单包装线多工位联动优化的信息架构;依据包装任务的工序约束,建立起多个工位的动态关联,实现工位间生产信息的实时协调,进而通过算法实现工位任务队列的联动式智能优化.结果 通过在某摩托车外胎包装生产线上的应用,优化后工序任务队列的目标函数值相比最高值下降了36.1％,验证了文中提出的物联型混单包装线多工位联动优化方法的有效性和可行性.结论 文中提出的混单包装线物联网化能为智能制造的实时提供硬件支撑,基于数字孪生的多工位联动优化提供了智能化决策工具支持. 相似文献
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Sleep stage classification can provide important information regarding neonatal brain development and maturation. Visual annotation, using polysomnography (PSG), is considered as a gold standard for neonatal sleep stage classification. However, visual annotation is time consuming and needs professional neurologists. For this reason, an internet of things and ensemble-based automatic sleep stage classification has been proposed in this study. 12 EEG features, from 9 bipolar channels, were used to train and test the base classifiers including convolutional neural network, support vector machine, and multilayer perceptron. Bagging and stacking ensembles are then used to combine the outputs for final classification. The proposed algorithm can reach a mean kappa of 0.73 and 0.66 for 2-stage and 3-stage (wake, active sleep, and quiet sleep) classification, respectively. The proposed network works as a semi-real time application because a smoothing filter is used to hold the sleep stage for 3 min. The high-performance parameters and its ability to work in semi real-time makes it a promising candidate for use in hospitalized newborn infants. 相似文献