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This paper presents an observer-based motion control scheme for a single mobile robot to track and monitor a dynamic pollutant plume propagation in m-dimensional space. The spatiotemporal dynamics of the pollutant plume is modeled by an advection-diffusion partial differential equation (PDE), and the plume front is described by a level set with a prespecified threshold value. In the suggested control...
In this paper, we propose a novel fault detection method for multivariate industrial processes. The method is based on AutoEncoder. AutoEncoder is a single-hidden-layer neural network that can learn low-dimensional nonlinear representations for high-dimensional data. In the proposed fault detection method, offline normal data are used to train an AutoEncoder, which is then used for online fault detection...
The hydrologic monitoring is of great importance to the water resources management, ecological environment protection. The equipment and methods used in hydrological monitoring are various, the data types are complex and diverse. There are various causes of the hydrological disasters, and they are interrelated and interactional. This paper summarizes the main hydrological monitoring sensors, observations...
Detecting events on time series data generated by sensors has received a great amount of attention with increasingly deployment of variable sensors. In this paper, we propose a novel framework for classifying events upon sensors data called BEC. Given long raw time series and event labels on fuzzy time points, BEC extracts burst-based features to represent the events. There are mainly two important...
Blast furnace gas (BFG) system of steel enterprise generally accompanies with multi-dimension and nonlinear features. It's a hard assignment for energy scheduling operators to make real-time scheduling decision when monitoring such system. In this study, a novel dimensionality reduction method named Space Direction Neighborhood Preserving Embedding (SDNPE) is proposed for the BFG system monitoring...
For fault detection and diagnosis, the conventional multivariate statistical process control (MSPC) methods in general quantify the distance between the new sample and the modeling samples. They, however, do not check the changes of data distribution as long as monitoring statistics stay inside normal region enclosed by control limit, which, are not sensitive to incipient changes. In the present work,...
This paper describes logic and circuit design features of a heterogeneous tri-cluster deca-core CPU complex incorporated into a 10nm FinFET mobile SoC for smartphone applications. Similar to Helio X20 [1], the Deca-Core compute function contains three separate clusters of ARMv8a CPUs. The high-performance (HP) cluster is updated to incorporate the most power-efficient out-of-order Cortex-A73 CPU,...
Long time series of vegetation dynamics is one of the core study areas for evaluating terrestrial ecosystems, and it is meaningful in global change research. In this study, the characteristics of climate change and dynamics of vegetation were analyzed systematically on Tibetan Plateau (TP) from 1981 to 2010. The results show that: 1) The annual average temperature and annual precipitation of the Tibetan...
It is quite challenging to monitor an ironmaking process due to some of its special characteristics such as lack of direct measurements and strong disturbances. Hence extracting robust features of the normal process from complex historical data is vitally important. Denoising autoencoder (dA), a recently developed deep learning technique, has become a popular tool to extract and compose robust features...
Due to the multi-condition characteristic of tobacco ultrahigh-speed cellophane sealing machine, the existing fault monitoring method can't meet the need of efficient cigarette production. Based on the analyzing the running characteristics, a fault monitoring and diagnosis approach method of ultrahigh-speed cellophane sealing machine was proposed to solve several key points, such as condition partition...
In a sponsored search market, the problem of measuring the intensity of competition among advertisers is increasingly gaining prominence today. Usually, search providers want to monitor the advertiser communities that share common bidding keywords, so that they can intervene when competition slackens. However, to the best of our knowledge, not much research has been conducted in identifying advertiser...
It is quite challenging to monitor an ironmaking process because of its special characteristics such as frequent fluctuations and lack of direct measurements. To tackle these issues, a two-stage PCA based monitoring method was proposed in our previous work. However, only one type of operating anomaly was considered and the historical data of one accident was utilized. To further evaluate the performance...
With the seven quality control methods under the CIP control, the entire package yield in micro-bump products is promoted from 99.31% to 99.58% during four-month record and tracking. Through these effective and analytical efforts, the rework ratio in the abnormal PR coating contribution was decreased from 0.29% to 0.19%. The result for the auto misalignment was reduced from 0.23% to 0.13% as well...
Composite services are notoriously prone to failure, this is particularly true for long-running, and data-intensive services. Different composition strategies can be employed to make compositions robust. Any service composition strategy does impact performance at the lower network layer and needs to be assessed. Novel approaches are needed to model and evaluate dynamically reconfigurable service composition...
It is very necessary to develop a monitoring system on oceanographic research vessel with the rapid development of marine resource exploitation. While problems on how to realize data communication in far sea, save large amount of coordinates, extract data and display real-timely and so on are the keys to construct such a system successfully. A novel solution which employs Beidou SMS as the data communication...
This paper designed a circuit breaker on-line monitoring system based on S3C2440A core controller. With the high speed and high precision extended A/D, this device can sample signals on real time. It is fast, easy networking and convenient for remote data transmission by Ethernet. The embedded linux operating system, which can be cut arbitrarily and easy to translate, is used in this device. This...
Poisonous grasses disrupt landscape patterns and compromise the functionality of ecosystem process. Native Aconitum leucostomum Worosch poses significant threats to native vegetation and animal husbandry in the Tuohulasu grassland in Ily, XinJiang, and quantifying hyperspectral characteristics is vital for monitoring its spread. In this paper, field reflectance spectra were collected from two plant...
The problem of efficiently finding top-k frequent items has attracted much attention in recent yeras. Storage constraints in the processing node and intrinsic evloving feature of the data streams are two main challenges. In this paper, we propose a method to tackle these two challenges based on space-saving and gossip-based algorithms respectively. Our method is implemented on SAMOA, a scalable advanced...
Hetao Irrigation District, located in Bayan nur city of Inner Mongolia, is one of the largest irrigation areas in Asia. Because of little rainfall and large evaporation, lack of water resources has become one of the main factors which restrict the development of the local economy. Real-time monitoring of the actual irrigation area can contribute to efficient allocation of water and soil resources...
In this paper, we construct a visual surveillance system,in which each monitoring device works like the eyes of a chameleon. Particularly, each device is built based on embedded systems, with the motion tracking and simple stereo matching functions. As the embedded systems lack strong computing capability for image processing, we introduce some methods to reduce the load of the device. More importantly,...
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