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Recent technological advances in the use of the Internet and video technologies has greatly impacted the provision of psychotherapy and other clinical services as well as how the training of psychotherapists may be conducted. When utilized appropriately these technologies may provide greater access to needed services to include treatment, consultation, supervision, and training. We present, as an...
Over the last few years, integration of stochastic methods into a multiscale framework or development of multiscale models in a stochastic setting for epistemic uncertainty quantification (UQ), analysis and design of physical systems is becoming an emerging research frontier. Nevertheless, to find competitive solutions, we need an extended, wider panorama, by using new eyes. To grasp a more reliable...
In order to maintain reliability and reduce uncertainties in the operation of the distribution network caused by a large penetration of distributed generation and energy intensive appliances, monitoring capabilities of distribution networks need to be improved for the deployment of proper control actions. This paper proposes a conceptual framework for securing network operation by enhanced monitoring...
Automobile anti-theft system need to use Multi-sensor data fusion. For the problems in the process of multi-sensor data fusion, D-S evidence theory based on the weight distribution is corrected using the theory of matrix analysis. After verification, the algorithm can deal with the integration process operation problem of excessive very well. In the case of failure of one or more sensors this algorithm...
The purpose of this study is to investigate the impact of market uncertainty on e-connection and process coordination with suppliers and the operational performance. A Structure Equation Model containing two intermediary variables is established. Through an empirical survey of 725 samples in an international study, the research findings show that: (1) market uncertainty has a negative impact on operational...
Cohen's κ coefficient has been widely used for assessing classification results derived from remote sensing data. It however presents several limitations, which are preventing both an efficient use as well as a generalisation of its use. This paper reviews these problems and proposes as an alternative to prefer the Krippendorff's α-coefficient over Cohen's κ. Krippen-dorff's α indeed presents less...
This paper proposes a new transmission-constrained unit commitment method that combines the cost-efficient but computationally demanding stochastic optimization and the expensive but tractable interval optimization techniques to manage uncertainty on the expected net load. The proposed hybrid unit commitment approach applies the stochastic formulation to the initial operating hours of the optimization...
Under high penetration of wind and solar, the power system is facing the challenge to maintain the balance between generation and load due to the insufficient ramping capability. To resolve this challenge, a new market mechanism was proposed by many ISOs to add the flexible ramping constraints or flexible ramping product to maintain the ramping flexibility in addressing net load uncertainty and variability...
This paper proposes an Approximate Dynamic Programming (ADP) based approach to evaluate the effective load carrying capability (ELCC) of high penetration renewable resources by solving the long-term security-constrained unit commitment (SCUC) problem with various uncertainties related to solar radiation, wind speed, and load level. Compared with traditional approaches, the proposed approach can assist...
Due to Internet and social media web, the world as we know it is deeply changing integrating two different aspects of the social interaction: the one that develop in the real world and the one that develop in web society. In this paper we focus on the importance of generalized knowledge (agents' categories) in order to understand how much it is crucial in these two worlds. The cognitive advantage...
The placement of distributed generation (DG) has a significant impact on system operation and power supply to customers. This paper investigates the effects of customer demands on the DG planning. An optimization model based on dependent chance programming is firstly proposed. Two indices, voltage profile and reliability performance of customers, are defined as the objectives. Subsequently, scenarios...
The paper investigates the effect of age related failure of power transformers on the identification of most critical transformer sites for system reliability. The end-of-life failure model of power transformers is modified first to integrate loading conditions effect. The adopted Arrhenius-Weibull probability distribution, which represents the effect of thermal stress on the transformer's end-of-life...
This paper incorporates the stochastic day-ahead security-constrained unit commitment (DASCUC) within a multi-timescale, multi-scheduling application with commitment, dispatch, and automatic generation control. The stochastic DASCUC is solved using a progressive hedging algorithm with constrained ordinal optimization to accelerate the individual scenario solution. Sensitivity studies are performed...
Electricity markets contain many uncertainties such as changes in generation and demand levels. Especially with increasing integration of wind power, uncertainties in generation availability have increased. This increases the network access risk for generators. Therefore, the need for a reliability mechanism for generators has emerged. Firm transmission access is a transmission reliability mechanism...
In this paper, the assessment of Financial Losses related to Process Trip (FLPT) due to voltage sags and Long Duration Interruptions (LDI) for the whole distribution network is carried out for different operating conditions in order to highlight the importance of probabilistic assessment of FLPT and in particular of inclusion of Process Immunity Time (PIT) in the evaluation. The FLPT due to voltage...
Mobile ad hoc networks are open networks which are infrastructure less, decentralized and formed spontaneously resulting in a lot of security vulnerabilities. Reliable data delivery from a source node to a destination node requires a path involving nodes which collaborate to forward the data packets which requires the nodes to assess the forwarding behavior of each other. The paper presents an uncertainty...
Uncertainty is inherent in almost any project and complex system, and aircraft maintenance is not an exception. During its execution, unexpected damage, failures and discrepancies may be found, which must be corrected by programming unscheduled tasks. However, due to the stochastic nature of these unforeseen events, it is difficult to plan unscheduled activities and then to estimate the resources...
In this paper, observability reliability (OR) and loss of data expectation indices (LODE) are calculated considering data uncertainty. Single contingency of Phasor Measurement Unit (PMU) and branch outages are considered in the calculations and to achieve more realistic results, it is assumed that failure data (repair time and failure rate) of all branches and PMU components have uncertainty. Fuzzy...
Performance and reliability of nanoscale memory and logic devices is determined by few electron-phenomena. In this context, the organic molecules may offer some advantages for future memory applications. Since, a molecule is the smallest component whose electrical properties can be engineered, it can be argued that the ultimate integrated circuit will be constructed at the molecular level. This fact...
Aggregations of controllable loads can provide reserves to power systems; however, their reserve capacity is uncertain and affected by ambient conditions like weather. Past work proposed a stochastic optimal power flow formulation that used chance constraints to handle uncertain reserves and generation from wind. The problem was solved with a scenario-based optimization method. In this paper, we assume...
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