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In this paper, on-wafer de-embedding methods for passive components are evaluated for millimeter wave integrated circuit (MMW IC) design support. An electromagnetic simulation aided de-embedding (EMSAD) technique is proposed. The electromagnetic model is calibrated by matching the open-short de-embedded measurement at relatively lower frequencies. A set of Ground Coplanar Waveguide (GCPW) test structures...
In this paper, an automatic parameter extraction and scalable modeling method for 1∼100GHz transmission line based on the equivalent-circuit model proposed in [1] is established. The parameters are extracted from electromagnetic simulations which are validated by the measurement date of the devices fabricated on HLMC 40nm RF CMOS process. This method is validated by application to scalable modeling...
In this paper, we evaluate the distributed deembedding methods in comparison with open-short deembedding technique for CMOS transistor on wafer characterization up to 40GHz. A set of NMOS transistor test structures fabricated on HLMC 40nm RF CMOS process are used for the investigation. Experimental results show the distributed methods are more physically reasonable than open-short deembedding technique...
Optimal operation space of heat exchanger networks (HENs) is largely influenced by either their hard constraints or limitation of operation margin when a bypass or utility unit is selected as a manipulated variable (MV), but previous methods generally focused on solving the identification of inactive bypasses and active pairings in sequence, wherein the inactive bypasses features hard constraints...
Modularization is a significant way to ease the challenge of evaluating large-scale fault trees known as a NP-hard problem, especially for BDD algorithm. In our previous work, we proposed an effective parallel modularization algorithm for large-scale coherent fault trees which only include gates with AND logic and OR logic. But in real engineering scenarios, fault trees usually consist of many complex...
Fault-tree analysis is a useful analytic tool for the reliability and safety of complex system. However, fault tree is not suitable for repairable system. In this paper, we will propose a new method called TTF (time to failure) and TTM (time to maintenance) to analyze repairable system. Nevertheless, Monte Carlo simulation may be time consuming. In order to reduce simulation time, a parallel algorithm...
The GO-FLOW methodology is a reliability analysis methodology [1]. It is success-oriented system analysis technique and is capable of evaluating system reliability and availability of system with complex time-sequence problems and phased mission problems. The modeling technique produces a chart which consists of signal lines and operators, and represents engineering function of the components/subsystems/system...
Reliability has been greater concerned in recent years and allocating proper reliability value to each component of a complex system as an optimization process to reduce cost and rise productivity is very important. This paper presents a reliability allocation method based on Bayesian networks (BNs). In this paper, the approach are presented in two main aspects: modelling aspect and analysis aspect...
In the field of reliability and safety, Fault-tree analysis proved to be a useful analytic tool. Aimed at static or dynamic FTs, Monte Carlo simulation based on time-to-failure (TTF) may be an effective way to calculate FTs. Through computing the TTF of bottom events of FTs, the TTF of the system can be calculated easily. However, Monte Carlo simulation based on TTF is time-consuming because modern...
Fault tree analysis is very important in the reliability design and analysis program of a product. However, the traditional fault tree construction method is difficult to implement since it requires high capability of the modelers and a long period, furthermore the process is complicated. Compared with this, the Go model is easy to build due to its similarity with the principle diagram of the system...
Compared with the traditional handbook-based reliability prediction method, the PoF-based method can provide more accurate prediction for a component. But for the boardlevel electronic product with redundant features, it is very difficult to predict its mission reliability. The challenge lies in the consideration of the interrelationship between those components' PoF models in board. This paper presents...
With the increasing emphasis on reliability in recent years for high-tech industrial processes comprise most complex systems today. Allocating proper reliability value to each subsystem or component of a complex system as an optimization process to rise productivity is very crucial. Exists approaches like ARINC and AGREE are too simple and inadaptable for ever increasing levels of industrial systems...
In allusion to the impossibility of conducting both a specific product's reliability modeling and performance modeling at the same time as well as the fact that the reliability design of a product being out of line with performance design, this study defines a modeling method of function model based on SysML, which allows the systems engineers to build system function model using IBD to depict the...
Due to the intermittency and randomness of solar Photovoltaic (PV) power outputs, it is necessary to find a precise method for PV power forecasting. However, conventional methods, using only temperature, humidity and wind speed data, failed to obtain high accuracy when used to predict PV power outputs under extreme weather conditions. Aerosol index which indicates particulate matter in the atmosphere...
This paper addresses the difficult problem of finding dense correspondence across images with large appearance variations. Our method uses multiple feature samples at each pixel to deal with the appearance variations based on our observation that pre-defined single feature sample provides poor results in nearest neighbor matching. We apply the idea in a flow-based matching framework and utilize the...
In healthcare information exchange (HIE) environments, a publish/subscribe system for the selective and dynamic dissemination of information becomes more and more important due to increasing demand for timely and accurate data sharing among healthcare enterprises. Integrating the Healthcare Enterprise (IHE) proposes a general framework for defining publish/subscribe interactions, and a subscription...
Aligning image pairs with significant appearance change is a long standing computer vision challenge. Much of this problem stems from the local patch descriptors' instability to appearance variation. In this paper we suggest this instability is due less to descriptor corruption and more the difficulty in utilizing local information to canoni-cally define the orientation (scale and rotation) at which...
Making an efficient and effective decision for Vehicle Routing Problem is one of the key issues in emergency logistics. While, as the majority of them are large-scale Multi-Depot VRPs, the computing time of finding a rational solution is often too long to meet the requirements of emergency management. So how to accelerate the algorithm becomes very important in solving this problem. In this paper,...
Many problems have existed in synthesis design of reliability, maintainability, supportability (RMS) and performance, such as RMS design activities are numerous and optional, variable feedback branches can satisfy same RMS requirement, some iteration among RMS and Performance activities is necessary, and many uncertainty exist in the design process. A process reengineering method for synthesis design...
To solve problems existing in the static fault simulation method, the dynamic one is proposed in this paper, and based on it, an approach of predicting mission completion success probability for circuits is proposed. In this approach, the failure distributions of components are derived from Reliability Prediction Handbook for Electronic Equipment, and the sampling algorithm is introduced to simulate...
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