6 research outputs found

    System-level transient ESD noise monitoring using off-chip and on-chip circuits

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    Department of Electrical EngineeringElectrostatic discharge (ESD) is defined as a sudden flow of electric charge between the objects with different electrostatic potentials caused by contact and breakdown of air gap or dielectric layer. In electronic systems, ESD is the remarkable critical issue for reliability of compact and complex integrated circuits (IC) and systems and must be deliberated from the initial design process for the safety of users and wasted cost from damaged products. To analyze the effects by the ESD events, the noise voltages inside the products induced by ESD events can be measured. However, the passive measurement method using cables has some limitations. Various on-die ESD detector circuits have previously been proposed to overcome the limits, providing the useful information for ESD noise analysis. But these circuits require lots of time and cost for design and fabrication, so it is hard to apply from the initial design process. In this thesis, two approaches are proposed for monitoring the system-level transient ESD noise as the further progress of previous researches regarding the detection of system-level transient ESD event. One is the usage of the off-chip ESD detection module including multiple detection circuits with different thresholds for characterizing the range of ESD noises. The proposed detection circuit utilizes the time delay by RC network and can sense the positive ESD events at power line. The sensing characteristics of the detection circuit against ESD event can be represented as a threshold curve. Utilizing the detection threshold curve, the range of ESD noises can be estimated without measurement. For more specific identification of ESD noise range, the detection module with multiple detection circuits are designed and the more exact estimation of noise range becomes possible, depending on which detection circuits sense the ESD event. The threshold curves of detection module are extracted using transmission line pulse (TLP) signals and validated through ESD current injection tests. After then, as an application to real situation, the system-level transient ESD noises in a commercial solid-state drive (SSD) storage system are characterized and analyzed. The other approach is the capturing the noise waveform itself like digital oscilloscope. Although the previous on-die ESD detector circuits and the proposed approach provide useful information, it is further demanded to obtain the accurate noise waveforms for more complete analysis. So, an on-die oscilloscope circuit including on-chip ESD event detectors is designed and fabricated in a 180-nm CMOS process. The validation of operation is performed, and the measurement results of on-chip ESD detectors are comparable to the results from circuit simulations. However, the ability of waveform capturing is under the designed specification due to several problems in circuit design process.clos

    Accuracy Investigation of a Neuromorphic Machine Learning System Due to Electromagnetic Noises Using PEEC Model

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    The accuracy of a neuromorphic machine learning system was investigated using the partial equivalent element circuit (PEEC) model to analyze electromagnetic effects. A multilayer neural network (MNN) model for a classification task was introduced, and the corresponding neuromorphic circuit was designed. An efficient PEEC model for crossbar structures was proposed and validated by comparison with HFSS simulations. The designed neuromorphic circuit including the PEEC crossbar array model was simulated using SPICE while varying operation speed, structure size, and the activation function. Test cases compared electromagnetic noises and the accuracy of the neuromorphic system for the classification task

    Electromagnetic Simulations of a Neuromorphic Hardware using PEEC and Memristor SPICE Models

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    Electromagnetic simulations of a neuromorphic hardware using the partial element equivalent circuit (PEEC) and memristor SPICE models are presented. The netlists of the SPICE sub-circuits for crossbar geometries in a neuromorphic hardware are extracted using the PEEC method. The SPICE sub-circuits are verified by comparison with HFSS simulation results. Application of RF signals for using the memristors as synapses is also presented and confirmed in the single memristor and crossbar structure. Crosstalk simulations are carried out in the crossbar structures with memristors considering the memristor states

    Visual MAV Tracker with Adaptive Search Region

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    Tracking a micro aerial vehicle (MAV) is challenging because of its small size and swift motion. A new model was developed by combining compact and adaptive search region (SR). The model can accurately and robustly track MAVs with a fast computation speed. A compact SR, which is slightly larger than a target MAV, is less likely to include a distracting background than a large SR; thus, it can accurately track the MAV. Moreover, the compact SR reduces the computation time because tracking can be conducted with a relatively shallow network. An optimal SR to MAV size ratio was obtained in this study. However, this optimal compact SR causes frequent tracking failures in the presence of the dynamic MAV motion. An adaptive SR is proposed to address this problem; it adaptively changes the location and size of the SR based on the size, location, and velocity of the MAV in the SR. The compact SR without adaptive strategy tracks the MAV with an accuracy of 0.613 and a robustness of 0.086, whereas the compact and adaptive SR has an accuracy of 0.811 and a robustness of 1.0. Moreover, online tracking is accomplished within approximately 400 frames per second, which is significantly faster than the real-time speed

    An On-die Oscilloscope for System-Level ESD Noise Monitoring

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    An on-die oscilloscope circuit is proposed for monitoring of system-level electrostatic discharge (ESD) noises at a power supply or signal line of an integrated circuit (IC). The noise waveform is sampled and converted to digital data in real time. ESD event detector circuits provide a trigger signal for holding the digital data when the ESD event is detected. The digital data are converted back to analog noise waveforms through post-processing. The operations of the proposed on-die oscilloscope circuit are validated in circuit simulations

    Field source extraction of an ESD generator and its application to system-level ESD analysis in a solid-state storage system

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    System-level electrostatic discharge (ESD) noise due to electromagnetic fields radiating from an ESD generator were measured and analyzed in a solid-state drive (SSD) storage system. The field sources of an ESD generator were efficiently modeled from the measured tangential magnetic fields in front of a ESD generator. The extracted field sources were incorporated into a full-wave solver, and the fields inside the disk-array enclosure (DAE) were simulated and validated by comparing to measured fields. The field source models of the ESD generator were then also utilized to predict transient ESD-induced noise voltages in a simplified SSD. Finally, the coupling mechanism and the effects of the DAE geometry were investigated
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