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• Tracked hyperspectral response times to leaf spot infection.
• Pinpointed Cab, PRSI, PRIn as key features for disease monitoring.
• Revealed the complementary and redundancy nature of features in monitoring disease.

Accurate quantification of hyperspectral features altered by plant disease infection is pivotal for effective disease management. However, the sensitivity of hyperspectral features to plant disease progression remains elusive, primarily because ...

The Consumer Internet of Things (or CIoT) refers to the vast number of physical personal devices, ranging from very simple ones such as fitness trackers to high-end smart electric vehicles, that are connected to the Internet. This connectivity has ...

With the wide application of Internet of Things (IoT) technology, large volumes of multimodal data are collected and analyzed for various diagnoses, analyses, and predictions to help in decision-making and management. However, the research on protecting ...

• Particle filter and DNN increase greenhouse model prediction accuracy.
• Calibrating process-based model parameters decreases DNN’s need for training data.
• The hybrid model retains the interpretability of the process-based model.

By generating high quality data without the big time investment and economic cost of real experiments, dynamic greenhouse climate and crop simulation models can support decisions on greenhouse climate control, crop management and greenhouse ...

With the development of cloud manufacturing (CMfg), a huge amount of services appears on the Internet, which makes recommender systems in CMfg service a promising research field. To this end, recent studies mainly focus on solving ...

• A hybrid similarity model can find neighbor users in ‘Many-to-Many’ mode.
• ...

Load balancing is directly associated with the overall performance of a parallel and distributed computing system. Although the relevant problems in communication and computation have been well studied in data center environments, few works have ...

Indoor location-aware service is booming in daily life and business activities, making the demand for precise indoor positioning systems thrive. The identification between line-of-sight (LOS) and non-line-of-sight (NLOS) is critical ...

Large data centers are currently the mainstream infrastructures for big data processing. As one of the most fundamental tasks in these environments, the efficient execution of distributed data operators (e.g., join and aggregation) are still challenging ...

Processes in the Internet of things can be represented by Petri net. Based on the behavior process model of Petri net, a model‐based repair method based on change domain is proposed. By using the corresponding relation of consistency analysis ...

The proposed model repair methord which based on minimum change domain is presented through comparison in accuracy, fitness, conciseness to have more advantages. The repair model can well describe the actual implementation of business processes. image ...

High-performance data analytics largely relies on being able to efficiently execute various distributed data operators such as distributed joins. So far, large amounts of join methods have been proposed and evaluated in parallel and distributed ...

• We analyze the performance issues of current distributed outer join approaches.
• We present a novel method POPI for load-balance large distributed outer joins through data operator decomposition.
• We conduct a detailed analysis of ...

Software-defined networking (SDN) is a cornerstone of next-generation networks and has already led to numerous advantages for data-center networks and wide-area networks, for instance in terms of reduced management complexity and more fine-grained traffic ...

Large computing systems such as data centers are becoming the mainstream infrastructures for big data processing. As one of the key data operators in such scenarios, distributed joins is still challenging current techniques since it always incurs ...

A wireless power transfer network (WPTN) aims to support devices with cable-less energy on-demand. Unfortunately, wireless power transfer itself—especially through radio frequency radiation rectification—is fairly inefficient due to ...

Using a scenario of collecting weather data, we present a simulation of a crowdsourcing system for social sensing using mobile sensors, driven by the requests of other users. Users control how and when their mobile sensors are used, and may exhibit ...

Most applications involving large-scale wireless networks need to know the connectivity of the network topology. Conventional approaches largely ignore the temporal aspects of node-to-node connectivity, and perform an offline analysis. In this paper, we ...

Today, wireless networks are connecting most of the devices around us. The scale of these systems demands for novel techniques to maintain availability for various services such as routing, localization, context detection etc. Distance estimation is one ...