ESD Design Strategies for High-Speed Digital and RF Circuits in Deeply Scaled Silicon Technologies

Shuqing Cao,Jung-Hoon Chun,Beebe, S G,Dutton, R W IEEE 2010 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS PART 1 R Vol.57 No.9

<P>Challenges of electrostatic discharge (ESD) protection in deeply scaled silicon technologies are addressed by improving design, characterization, and modeling of I/O MOSFETs, interconnect, ESD protection and power clamp devices. Recent progress on ESD protection design for both high-speed digital I/O and radiofrequency (RF) circuits are presented. Topological trade-offs are compared. High speed circuit protection techniques such as the T-coil based ESD design are reviewed in detail. Package- and wafer-level charged device model (CDM) correlation issues are discussed. I/O, ESD devices, and metal interconnect effects are examined using very fast transmission line pulses (VF-TLP) and TLP.</P>

Design and Characterization of ESD Protection Devices for High-Speed I/O in Advanced SOI Technology

Shuqing Cao,Salman, A.A.,Jung-Hoon Chun,Beebe, S.G.,Pelella, M.M.,Dutton, R.W. IEEE 2010 IEEE transactions on electron devices Vol.57 No.3

<P>This paper focuses on the characterization, modeling, and design of electrostatic discharge (ESD) protection devices such as the gated diode, the bulk substrate diode, and the double-well field-effect diode (DWFED) in 45 nm silicon-on-insulator technology. ESD protection capabilities are investigated using very fast transmission line pulsing tests to predict a device's performance in charged device model (CDM) ESD events. Device capacitance, which is critical for high-speed input/output performance, is evaluated, and biasing schemes and processing techniques are proposed to reduce the parasitic capacitance during normal operating conditions. Technology computer-aided design simulations are used to interpret the physical effects. The implementation of devices for meeting CDM protection requirements is discussed. Evaluation results identify DWFED as a promising candidate for the pad-based local-clamping scheme.</P>

Integrated fault location method for distribution networks based on IACO‑PS

Shuqing Zhang,Xiaowen Zhang,Anqi Jiang,Liguo Zhang,Mingliang Li 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.1

This paper develops a new hybrid method based on an improved ant colony optimization algorithm that incorporates pattern search (IACO-PS) for determining the location of faults in a distribution network. The performance of the conventional ant colony optimization (ACO) algorithm is improved using the opposite-based learning strategy to generate the initial population and adding a weight coefficient into the pheromone update mechanism to dynamically adjust the pheromone volatilization factor. The hybrid IACO-PS algorithm combines the individual strengths of ACO and PS. In addition, the fitness function is constructed by counting the false and missing fault information into the fault variable. In optimizing benchmark function experiments, the proposed hybrid IACO-PS presents a superior performance when compared to other improved versions of ACO. The effectiveness of the proposed approach is corroborated by tests performed on an IEEE 134-bus network. Simulation results show that the proposed hybrid IACO-PS method can determine the location of a fault even in the presence of fault distortion. In addition, it is immune to noise and data loss errors. Finally, the method proposed in this paper significantly outperforms other published fault location methods, and it can accurately locate faults and identify the type of distortion.

Multimodal Biometric Recognition System based on Cloud Server for Smart Robots

Shuqing Tian,Suk Gyu Lee 대한전기학회 2013 대한전기학회 학술대회 논문집 Vol.2013 No.7

New accuracy indicator to quantify the true and false modes for eigensystem realization algorithm

Shuqing Wang,Fushun Liu 국제구조공학회 2010 Structural Engineering and Mechanics, An Int'l Jou Vol.34 No.5

The objective of this paper is to apply a new proposed accuracy indicator to quantify the true and false modes for Eigensystem Realization Algorithm using output-based responses. First, a discrete mass-spring system and a simply supported continuous beam were modelled using finite element method. Then responses are simulated under random excitation. Natural Excitation Technique using only response measurements is applied to compute the impulse responses. Eigensystem Realization Algorithm is employed to identify the modal parameters on the simulated responses. A new accuracy indicator,Normalized Occurrence Number-NON, is developed to quantitatively partition the realized modes into true and false modes so that the false portions can be disregarded. Numerical simulation demonstrates that the new accuracy indicator can determine the true system modes accurately.

Estimation of semi-rigid joints by cross modal strain energy method

Shuqing Wang,Min Zhang,Fushun Liu 국제구조공학회 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.47 No.6

We present a semi-rigid connection estimation method by using cross modal strain energy method. While rigid or pinned assumptions are adopted for steel frames in traditional modeling via finite element method, the actual behavior of the connections is usually neither. Semi-rigid joints enable connections to be modeled as partially restrained, which improves the quality of the model. To identify the connection stiffness and update the FE model, a newly-developed cross modal strain energy (CMSE) method is extended to incorporate the connection stiffness estimation. Meanwhile, the relations between the correction coefficients for the CMSE method are derived, which enables less modal information to be used in the estimation procedure. To illustrate the capability of the proposed parameter estimation algorithm, a four-story frame structure is demonstrated in the numerical studies. Several cases, including Semi-rigid joint(s) on single connection and on multi-connections, without and with measurement noise, are investigated. Numerical results indicate that an excellent updating is achievable and the connection stiffness can be estimated by CMSE method.

Stress analysis and optimization of Nd:YAG pulsed laser processing of notches for fracture splitting of a C70S6 connecting rod

Shuqing Kou,Yan Gao,Yong Zhao,Baojun Lin 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.5

The pulsed laser pre-processing of a notch as the fracture initiation source for the splitting process is the key mechanism of an advanced fracture splitting technology for C70S6 connecting rods. This study investigated the stress field of Nd:YAG pulsed laser grooving, which affects the rapid fracture initiation at the notch root and the controlled crack extension in the critical fracture splitting quality, to improve manufacturing quality. Thermal elastic-plastic incremental theory was applied to build the finite element analysis model of the stress field of pulsed laser grooving for fracture splitting based on the Rotary-Gauss body heat source. The corresponding numerical simulation of the stress field was conducted. The changes and distributions of the stress during pulsed laser grooving were examined, the influence rule of the primary technological parameters on the residual stress was analyzed, and the analysis results were validated by the corresponding cutting experiment. Results showed that the residual stress distribution was concentrated in the Heat-affected zone (HAZ) near the fracture splitting notch, which would cause micro-cracks in the HAZ. The stress state of the notch root in the fracture initiation direction was tensile stress, which was beneficial to the fracture initiation and the crack rapid extension in the subsequent fracture splitting process. However, the uneven distribution of the stress could lead to fracture splitting defects, and thus the residual stress should be lowered to a reasonable range. Decreasing the laser pulse power, increasing the processing speed, and lowering the pulse width can lower the residual stress. Along with the actual production, the reasonable main technological parameters were obtained.

Structural damage identification using an iterative two-stage method combining a modal energy based index with the BAS algorithm

Shuqing Wang,Yufeng Jiang,Mingqiang Xu,Yingchao Li,Zhixiong Li 국제구조공학회 2020 Steel and Composite Structures, An International J Vol.36 No.1

The purpose of this study is to develop an effective iterative two-stage method (ITSM) for structural damage identification of offshore platform structures. In each iteration, a new damage index, Modal Energy-Based Damage Index (MEBI), is proposed to help effectively locate the potential damage elements in the first stage. Then, in the second stage, the beetle antenna search (BAS) algorithm is used to estimate the damage severity of these elements. Compared with the well-known particle swarm optimization (PSO) algorithm and genetic algorithm (GA), this algorithm has lower computational cost. A modal energy based objective function for the optimization process is proposed. Using numerical and experimental data, the efficiency and accuracy of the ITSM are studied. The effects of measurement noise and spatial incompleteness of mode shape are both considered. All the obtained results show that under these influences, the ITSM can accurately identify the true location and severity of damage. The results also show that the objective function based on modal energy is most suitable for the ITSM compared with that based on flexibility and weighted natural frequency-mode shape.

Multimodal Biometric Recognition System for Cloud Robots

Shuqing Tian,Sung Gyu Im,Suk Gyu Lee 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.7

This paper presents a Multimodal Biometric Recognition System (MBRS) which is capable of integrating various biometric information for person recognition. The MBRS is deployed as a cloud server and provides person recognition service for smart robots. Through the experiments based on multimodal biometric traits, the fact that the multimodal biometric recognition performs better than individual biometric recognition has been proved. In our approach, the implementation of a multimodal biometric recognition system based on face recognition system and voice recognition system is proposed. The MBRS provides the possibility of integrating multi biometric subsystems to do recognition. Even more, since the MBRS is deployed as a cloud server, the public interfaces were provided for the robots to do real-time person recognition. The experimental results show that the MBRS outperforms any individual face recognition subsystem and voice recognition subsystem.

An Enhanced Method of Face Recognition for Cloud Robot

Shuqing Tian,Sung Gyu Im,Suk Gyu Lee 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.7

This paper describes a cloud-based robot system which connects cloud computing infrastructure for accessing distributed computing resources and big data and executing multitask like face detection, face recognition and etc. The ROS (Robot Operating system) has been employed as the operating system of the RC-Cloud server. We have deployed one application, “real-time face recognition application” in the RC-Cloud robot system. The experimental results show that the RC-Cloud robot system is capable of executing computation-intensive tasks for robot client efficiently and sharing information among all the clients in the system.