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With the increasing of workloads in large scale heterogeneous compute clusters, distributed scheduling has won support from the academia and industry because of its inherent scalability and flexibility. However, existing schedulers cannot guarantee that all the jobs are acceptable and the average latency is extremely large. In particular, when the schedulers apply gang scheduling and non-preemptive...
Random vibration fatigue of electronic interconnection is one of the most common failure mechanisms for avionics electronic products, and the prediction accuracy of the fatigue physics-of-failure model is vital to the life prediction of the product. Validation test method of the random vibration fatigue physics-of-failure model of dual in-line package (DIP) interconnection is studied here. Based on...
The temperature and moisture of single soil layer is difficult to represent the real growth environment around crop root. The measurement of temperature and moisture in multilayer and multipoint soil is easy to know water demand around crop root during its growth period deeply and accurately. It also can improve the water utilization coefficient and achieve basic data for the research on soil water...
To diagnose performance problems in production systems, many OS kernel-level monitoring and analysis tools have been proposed. Using low level kernel events provides benefits in efficiency and transparency to monitor application software. On the other hand, such approaches miss application-specific semantic information which can be effective to differentiate the trace patterns from distinct application...
Unified tracing is the process of collecting trace logs across the boundary of kernel and user spaces, and has been used to understand the in-depth correspondence between low level events and application program context for diagnosing system failures and performance problems. Crossing the boundary from the kernel space to a user space to collect trace events from dual spaces imposes challenges compared...
Geoscience Australia and the CO2CRC operate a greenhouse gas controlled release facility at an experimental agricultural station maintained by CSIRO Plant Industry in Canberra, Australia. The facility is designed to simulate surface emissions of CO2 and other greenhouse gases from the soil into the atmosphere. Over 10 different near surface monitoring techniques were trialled at the Ginninderra controlled...
We introduce a new hybrid instrumentation tool for dynamic application instrumentation called iProbe, which is flexible and has low overhead. iProbe takes a novel 2-stage design, and offloads much of the dynamic instrumentation complexity to an offline compilation stage. It leverages standard compiler flags to introduce “place-holders” for hooks in the program executable. Then it utilizes an efficient...
The fault diagnosis of mechanical system has become research focus recent years. General procedure of fault diagnosis includes monitoring working condition, collecting noise and fault signal, procuring typical fault sample characteristics, and making decision. However, it is hard to select suitable signal and acquire eigenvalue. Vibration intensity is a typical and effective eigenvalue in vibration...
Long-term ECG monitoring is desirable in many daily healthcare situations where a wearable device that can continuously record ECG signals is needed. In this work, we proposed a wearable heart rate belt for ambulant ECG monitoring which can be comfortably worn on the chest or the waist. Active textile electrodes were designed for ECG recording. And a battery powered circuit board was developed consisting...
The fine-grained flow level measurement is getting increasing demand in recent years. Though it fails to be a generic solution for its biased sampling, NetFlow is promising for its compatibility with major routers and its convenience to perform direct flow level measurement of both IPv4 and IPv6 traffic. Traditional flow level measurement systems based on NetFlow are mostly centralized and each of...
In this study, we make a quantitative research on adult physical fitness level by using multivariate statistical analysis methods and econometric models. Based on the data of national physical fitness from Gansu province, we firstly apply factor analysis to study the distribution status of adult physical level of Gansu province. Then, we analyze the influencing factors of eligible rate on the adult...
In order to respond to sudden environmental pollution incidents and reduce their damage and loss, an emergency decision-making system need to be built. The air pollution emergency plan system based on WebGIS, which relies on the on-site monitoring data in real time, simulates the spread and distribution of the on-site pollutants to assist decision-makers to make an appropriate emergency plans. Among...
A displacement back analysis, named as CACA-SVM, was proposed by combining the Support Vector Machines (SVM) and the Continuous Ant Colony Algorithm (CACA). The model used both the nonlinear characteristics of the Support Vector Machines to reduce numerical calculation and the global optimization performance of the Continuous Ant Colony Algorithm to avoid trapping in local optimum. The model was applied...
Based on improved Elman neural network, establish soft sensor model for the station boiler pollution monitoring, which provides a theoretical basis for boiler soot blowing optimization strategy. Intelligent soot-blowing programmable control system combines the traditional blowing control with the soft sensor model, which is constructed by a modular approach, set online fouling monitor, data analysis,...
In the long-term process of use, due to the influence of various factors as material aging, load effect and environmental change, a certain degree of deformation will occur to the foundation and superstructure of the brige, the long-term monitoring for the deformation of the bridge as well as its influencing factors and the establishment of mathematical models for predicting deformation will contribute...
Spatial and temporal distribution pattern of fire is very important to know the energy release, and protect environment and resources. To get the spatial and temporal distribution pattern of fires in China, ten years' MODerate resolution Imaging Spectroradiaomete (MODIS) fire production data had been selected. The statistic analysis and GIS spatial analysis method had been used. The results showed...
Urban subway is an important underground transportation facility, settlement monitoring and settlement analysis as well as settlement prediction are usually carried out in the construction process. In order to obtain a better settlement analysis and effect on predictions, the reliability of monitoring data should be first tested and analyzed. For the problem of data preprocessing in settlement monitoring,...
Today's networked systems are extensively instrumented for collecting a wealth of monitoring data. In this paper, we propose a framework called System-wide Similarity Query (S2Q) to support a new type of similarity queries on monitoring data for managing complex networked systems. The similarity queries are defined on a novel data model that captures system states, and the implementation includes...
Flow monitoring is used for a wide range of network management applications. Many such applications require that the monitoring infrastructure provide high flow coverage and support fine-grained network-wide objectives. Coordinated Sampling (cSamp) is a recent proposal that improves the monitoring capabilities of ISPs to address these demands. In this paper, we address a key deployment impediment...
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