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[专业会议] 2020年第十二届智能人机系统与控制论国际学术会议(IHMSC2020) 进入全文

IHMSC组委会

作为在杭州,南京和南昌等地成功举办的IHMSC 2009到IHMSC 2019 的延续,第十二届智能人机系统与控制论国际会议(IHMSC 2020)将在中国杭州的浙江大学举行,2020年8月22日至23日之间,本次会议的目的是提供一个论坛,供涉及人机系统和控制论各个方面的研究人员和从业人员交流研究结果,思路和应用经验。

[学术文献] Internet of things-based fog and cloud computing technology for smart traffic monitoring 进入全文

Internet of Things

Internet of Things (IoT) is changing the world by connecting billions of physical and virtual objects with distinctive identities to the Internet. This fusion results in generating huge volumes of data that might not be manageable using today's storage and data analytics technologies. Although cloud computing offers services to tackle this issue at infrastructural level, its efficiency for time sensitive applications (e.g. oil, gas, and traffic monitoring) is still questionable. Arguably, transferring massive amount of data to the cloud for storage and processing may lead to cloud overloading and saturation of network bandwidth. In this study, an integrated fog and cloud computing framework is introduced to overcome the limitations of real-time analytics, latency and network congestion of basic cloud services for traffic monitoring. The proposed approach is implemented to prototype a smart traffic monitoring system (STMS). The proposed monitoring system is designed for congestion monitoring and traffic light management. It can also be tuned to detect traffic incidents that requires immediate assistance during congestion. In this framework, a tiny computer-on-module serves as a fog node to collect real-time data from geographically distributed sensors and to transfer it to the cloud for storage and processing. The results show the efficiency of the fog network in improving the performance of the cloud platform in terms of reducing the response time and increasing the bandwidth. Furthermore, the proposed integrated fog and cloud framework is interfaced with Tweeter to send alerts about traffic congestion to be subscribed users in the form of Tweet messages .

[学术文献] 中国农产品冷链物流经济特性、困境及对策研究 进入全文

现代经济探讨

人们对生鲜农产品的时效性、高品质等要求逐渐提高。冷链物流需求强劲,发展迅速,另一方面冷链不冷、断链等问题频繁发生。需要跳出冷链看冷链,重新认识冷链物流。文章系统概括了冷链物流中间性、隐蔽性、专用性、集散性以及外部性的五个经济特征。分析了冷链物流需求总量、冷链物流公益性与市场性、冷链断链环节、冷链物流企业发展方向、冷链物流标准化、冷链物流安全、冷链物流发展的制约因素以及中国冷链物流发展如何借鉴国外经验八大困境。并提出了政府要清晰对冷链物流的功能定位、强化冷链基础设施的PPP投资模式、建立冷链物流全过程监管机制、强化对政策落实效果的效果评估和检查、加快冷链物流全链条标准化建设的对策建议。 

[学术文献] Heuristic swarm intelligent optimization algorithm for path planning of agricultural product logistics distribution 进入全文

Journal of Intelligent & Fuzzy Systems

In the current agricultural product consumption market, the consumer’s demand for agricultural products tends to be diversified and individualized, and they need stricter links of cold chain logistics distribution of agricultural products. The cold chain logistics of fresh agricultural products is also the business of high energy consumption and high carbon emission in the logistics industry. The contradictory relationship between it and the “low-carbon economy” advocated today leads to the necessity to consider the relationship between economic benefit and environmental impact in the process of rapid development. Based on this, this paper, from the perspective of low-carbon economy, based on the analysis of the necessity of optimizing the distribution path of cold chain logistics of agricultural products, constructs a model for this and puts forward a swarm intelligence optimization algorithm-particle swarm optimization (PSO) algorithm. The algorithm is improved from inertia weight, convergence factor, learning factor, and population size and so on. The optimized PSO algorithm is compared with the traditional PSO algorithm. Finally, the simulation results show that the improved algorithm can be used to optimize the distribution path of cold chain logistics of agricultural products effectively, and the specific optimization countermeasures are put forward according to the actual situation.

[学术文献] 颜色指示型智能包装监测生鲜肉新鲜度的研究进展 进入全文

食品工业科技

颜色指示型智能包装作为一种新型的包装方式,可以帮助消费者更加直观地判断生鲜肉制品新鲜程度,具有尺寸小、成本低和直观准确等优点。本文在介绍颜色指示型智能包装原理的基础上,对指示剂类型和基材进行综述,同时系统论述了其在生鲜肉新鲜度监测中应用的研究进展,指出该包装方式在实际应用中存在的局限性,并对其未来的发展进行展望,以期为颜色指示型智能包装在监测生鲜肉新鲜度中的应用和推广提供理论参考。 

[学术文献] 大数据在农业机器人路径规划实时同步定位中的应用 进入全文

农机化研究

为了使农业机器人能够有效地避开作业过程中的障碍物,设计了基于大数据的农业机器人路径规划与实时同步定位系统。该系统采用大数据云平台,给出了单个小障碍物的避障策略,提出了避障路径规划和实时同步定位算法。实验结果表明:应用云平台大数据进行路径规划和实时定位非常有效,解决了农业机器人在作业过程中的路径规划和实时同步定位问题,可为其他相关领域的避障路径规划提供参考。 

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