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Aiming at the accurate prediction of APU residual life in civil aviation, Fusion of historical state performance monitoring data, a method of APU residual life prediction based on proportional hazards model (PHM) is proposed. This method first gives a life prediction algorithm based on PHM. Then, based on the historical performance degradation data and historical failure time data, the genetic parameters...
The article based on Zigbee research a solution which can achieve new freeway vehicles with wireless system to locate and distance measurement. First, according to practical demand of analysing the location and distance measurement system of freeway vehicles propose developing function and technical indicators of the system. Combine with Zigbee technical features designing overall structure, clarifying...
With the increasing scale and complexity of the network, how to maintain a level of network performance and robustness for network operators to satisfy customers becomes more and more challenging. Network anomaly detection and localization are critical for ensuring network performance. In this paper, a novel framework for detecting and localizing network anomalies using active measurements is presented...
A data acquisition and monitoring system of machine tools is designed, which is based on Zigbee and GPRS wireless communication technology. The monitoring and alerting about the safety status of the machine tools operates via the acquisition of such physical parameters as temperature and noise. The hardware such as the CC2530 RF circuit and power module is designed. Based on the CC2530 module and...
As ball screw has complex structure and long range of distribution, single signal collected by one sensor is difficult to express its condition fully and accurately. Multi-sensor data fusion usually has a better effect compared with single signal. Multi-sensor data fusion based on neural network(BP) is a commonly used multi-sensor data fusion method, but its application is limited by local optimum...
The fault rate of on-load tap-changer (OLTC) has always been in a high level, and that is exactly the primary reason of transformer faults. As a result, an on-line detection method of OLTC was proposed. The embedded platform and wireless sensor network (WSN) technology was introduced into the on-line detection system. WSN was used to obtain OLTC status information. The embedded platform software,...
The grid security has become a popular topic in both academia and industry. The efficient monitoring of overhead transmission line is particularly important. This paper focuses on monitoring network design for overhead transmission line in smart grid by using wireless sensor network (WSN). For this purpose, a large number of nodes are deployed along the overhead transmission line, which collect and...
In this paper, we present the design and implementation of a model-driven auto scaling solution for Hadoop clusters. We first develop novel performance models for Hadoop workloads that relate job completion times to various workload and system parameters such as input size and resource allocation. We then employ statistical techniques to tune the models for specific workloads, including Terasort and...
Rail transit is a typical Cyber-physical Systems (CPS). The study of urban rail transit CPS was carried out with the introduction of CPS into the urban rail transit system. Based on the analysis of CPS, the fundamental architecture of urban rail transit CPS was designed and the functions of corresponding layers were explained. The system model of urban rail transit CPS was proposed. The functions...
Cloud computing offers the flexibility to dynamically size the infrastructure in response to changes in workload demand. While both horizontal and vertical scaling of infrastructure is supported by major cloud providers, these scaling options differ significantly in terms of their cost, provisioning time, and their impact on workload performance. Importantly, the efficacy of horizontal and vertical...
The skyline query method in the wireless sensor network has been widely used in the field of environmental monitoring, the field is mostly related to the spatial distance. For the multidimension of space location, it brings enormous computational cost for the general skyline query method in terms of the property calculation. In order to improve the efficient use of sensor energy, the paper proposes...
The recent years witness the rapid development of the Internet of Things (IoT). Increasing numbers of conventional manufacturing enterprises face the challenge of using current data management systems to collect and analyze the massive volume of monitor data generated by sensors and equipments to improve the design, manufacture and maintenance of products. Hence, Map Reduce technique has gained a...
High energy yield has been and continues to be a major driver in PV installations. With the continuous improvement in PV modules' performance, there is a need to extract as much power as possible from the modules under various weather conditions. Over the past three years, we proposed, analyzed, built, installed, and monitored a PV system with string level MPPT dc/dc converters and a central inverter...
An increasing number of connectable devices have been used in our everyday living environments. However, their working status usually cannot be remotely monitored in a ubiquitous way, leading to potential inefficiency in energy consumption. In this paper, we conducted a case study to investigate the effectiveness of connecting devices into social networks for status monitoring. In our study, we developed...
Network lifetime and coverage are viewed as the dominating considerations in designing the structure layout for Wireless Sensor Networks (WSN). In a WSN, the sensor nodes and its central node are located far apart to ensure good coverage over the concerning area. However, communication over long distance between the nodes consumes excessive energy from the battery powered sensors and reduces the lifetime...
Java workloads have two different execution spaces: one in JVM and the other in the native environment. Understanding workload activity in native and non-native (Java) spaces and its impact on the overall resource consumption of Java workloads can be very useful. For example, this knowledge can be exploited in code optimization and for efficient process level scheduling especially in emerging hybrid...
The effect of adjustment and monitoring method was discussed for autocorrelation based on the process AR(2). In the method, the autocorrelation is removed by introducing the MMSE adjustment method. The model of the process mean drift is analysis in the adjustment. The influence of S/N, ARL and alarm probability is studied for process mean drift in the control chart. The phenomena are found that the...
With the sustaining economic development in China, the timely, accurate and objective agricultural production information service has been highly demanded by the central and provincial governments. China Agricultural Remote Sensing Monitoring System (CHARMS) is an operational agricultural monitoring system in the Ministry of Agriculture of China to meet this demand.
The pollination ecology and breeding system of Elaeagnus angustifolia were studied in introduced populations in the middle of Hexi Corridor region in Gansu province of northwest China. We applied five experimental treatments, natural pollination, hand cross-pollination treatment, hand self-pollination treatment, autogamy, agamospermy. None of the experimented flowers produced fruits except natural...
This study used time-series of EOS/MODIS to extract the planting areas of paddy rice in 15 provinces located in Southern part of China. In doing that, the regionalization was firstly carried out and the algorithms for individual zones were built based on analyzing the characteristics of EVI and LSWI using ground field data. These algorithms were then applied to extract the planning areas for different...
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