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Software projects have a high risk of cost and schedule overruns, which has been a source of concern for the software engineering community for a long time. One of the challenges in software project management is to make reliable prediction of delays in the context of constant and rapid changes inherent in software projects. This paper presents a novel approach to providing automated support for project...
Adding to societal changes today, are the miscellaneous big data produced in different fields. Coupled with these data is the appearance of risk management. Admittedly, to predict future trend by using these data is conducive to make everything more efficient and easy. Now, no matter companies or individuals, they increasingly focus on identifying risks and managing them before risks. Effective risk...
Delay/Disruption tolerant networks (DTNs) are a class of emerging networks that experience frequent and long-duration partitions. While traffic prediction in the Internet and mobile ad hoc networks has been studied extensively, due to the unique characteristic of frequent partitioning in DTNs, traffic prediction in DTNs is a considerably different and challenging problem. It brings new issues to the...
Diabetes is known as the sixth leading cause of death in the world leading to kidney and cardiovascular diseases as well. As a result, controlling the disease is of particular importance. To control blood glucose level in diabetes mellitus type I, insulin must be injected into the body. This injection must be strictly controlled — any excessive increase in insulin injection can cause human death....
IP Pan-Tilt-Zoom cameras (IP PTZ) are now common in videosurveillance areas as they are easy to deploy and can take high resolution pictures of targets in a large field of view thanks to their pan-tilt and zoom capabilities. However the closer the view is, the higher is the risk to lose your target. Furthermore, off-the-shelf cameras used in large videosurveillance areas present important motion delays...
This paper proposes a new type of predictor to equip automatic PID controllers. The presented predictor is designed to ensure an adequate control for long time processes, whose evolution in time should be controlled in closed loop. At these processes, as a result of automatic control, the outputs followed run within limits for a period of time which, sometimes, exceeds the period in which the system...
There is an increasing interest among real-time systems architects for multi- and many-core accelerated platforms. The main obstacle towards the adoption of such devices within industrial settings is related to the difficulties in tightly estimating the multiple interferences that may arise among the parallel components of the system. This in particular concerns concurrent accesses to shared memory...
Delay and disruption tolerant networks (DTNs) are becoming an appealing solution for extending Internet boundaries so as to embrace disruptive communications. In particular, if node trajectory can be predicted as in space networks, routing schemes can take advantage of the a-priori knowledge of a contact plan. Despite mechanisms such as Contact Graph Routing (CGR) exist, they might derive in harmful...
Time-delay processes are frequently found in industry and the most common representation is a first order plus delay time (FOPDT) transfer function. The most used controller is the PID and the negative effect of the time delay in the closed loop system response is known. The most common way to attenuate the effects is by selecting a low proportional gain, degrading the response. If the model of the...
Opportunistic network mobile user-nodes location prediction can help to collect the data, improve the dynamic network and help to decrease the problems which include the delay, low success rate, high storage space energy consume and so on, which are the results of the blindness in the process of delivery. In this paper, a mobile node location prediction algorithm base on the Multi-Order Markov prediction...
Modern latency-critical online services often rely on composing results from a large number of server components. Hence the tail latency (e.g. The 99th percentile of response time), rather than the average, of these components determines the overall service performance. When hosted on a cloud environment, the components of a service typically co-locate with short batch jobs to increase machine utilizations,...
The large delay system is common in the process of industrial production at the same time it is difficult to control. Most systems have characteristics that their transfer functions vary with load. By using traditional PID control algorithm, the control effect has large overshoot, long adjusting time, it is hard to get an ideal control effect and hard to ensure the control quality. Therefore, in order...
There is growing concern about time-dependent performance variations of CMOS devices due to ageing-induced delay degradation. One of the main causes of ageing is Negative Bias Temperature Instability (NBTI). Existing models which predict the impact of NBTI on overall system performance assume a generic stress-recovery ratio of input signals of 50%. Such an assumption can cause misleading predictions...
The main cause of errors in the navigation of the Global Positioning System (GPS) satellite is the ionospheric delay. Therefore, ionospheric delay forecasting studies play an important role in the reduction of the positioning error. This paper focuses on forecasting of ionospheric delay using the statistical Holt-Winter method during the quiet and disturbed days in October 2011, using GPS Ionospheric...
The paper studies the control of networked control systems (NCS), considering controller-to-actuator variable time delays and packet dropout. The idea presented in our previous papers — to reduce delay variability in the loop by introducing buffer at the actuator — is now extended. The controller sends less frequent but more informative packets. The data in each control packet contains the control...
Finding solutions for the mitigation of atmospheric phase delay patterns from differential synthetic aperture radar interferometry (d-InSAR) observations is currently one of the most active research topics in radar remote sensing. Recently, many studies have analyzed the performance of regional numerical weather prediction (NWP) models for this task; however, despite the significant efforts made to...
This paper considers the problem of sensor faulttolerant control of a class of spatially distributed systems subject to discrete and delayed sensor-controller communication. An integrated approach that combines data-based fault identification and stability-based fault accommodation is developed on the basis of a suitable reduced-order model of the infinitedimensional system. A moving-horizon parameter...
One important challenge with vehicle teleoperation is that the communication delays can negatively affect the driving performance. To address this challenge, this paper adopts a model-free predictor based framework that, unlike previously reported efforts, does not require the predictor to know and model the system dynamics. This is achieved by communicating only the state variables and their derivatives...
Field and simulation traffic data reveal that for some urban networks a well-defined Macroscopic Fundamental Diagram (MFD) exists, that provides a unimodal and low-scatter relationship between the network vehicle accumulation and outflow. Recent studies demonstrate that link density heterogeneity plays a significant role in the shape and scatter level of MFD and can cause hysteresis loops that deteriorate...
In advanced technology nodes, incremental delay due to coupling is a serious concern. Design companies spend significant resources on static timing analysis (STA) tool licenses with signal integrity (SI) enabled. The runtime of the STA tools in SI mode is typically large due to complex algorithms and iterative calculation of timing windows to accurately determine aggressor and victim alignments, as...
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