With the improved hardware storage capabilities and the rapid development of artificial intelligence image recognition technology, information is becoming image-oriented. Increasingly sensitive image data needs to be processed. When facing a large amount of real-time sensitive image data encryption and decryption, ensuring both the speed and the security is an urgent demand. This paper proposes an original triple-hybrid encryption system for a real-time sensitive image acquisition chip. This encryption system optimizes the symmetric encryption algorithm AES, asymmetric encryption algorithm ECC, and chip authentication algorithm PUF in pursuit of security, calculation speed, and to ensure that it is lightweight. The three optimized algorithms are further mixed and reused on the circuit level, to ensure mutual protection while making full use of their advantages. Apart from sensitive image protection at the algorithm level, the image chip itself is also protected by an innovative PUF chip authentication method that prevents it from being tampered with and copied. Triple-hybrid encryption system hardware implementation achieves a frequency of 132.5 MHz under the Virtex-5 FPGA with an area of 2834 Slices; with Virtex-7 FPGA, it reaches a frequency of 137.6 MHz with an area of 2716 Slices. The system is also implemented on SMIC 40 nm ASIC, and the clock frequency reaches 480 MHz and the area is 94,812.4 $\mathsf{\mu }$m${}^2$. In terms of computing speed, the peak image encryption speed is 6.15 Gb/s, which meets the real-time image encryption requirement. In terms of hardware resource usage, AES reduced the hardware area by 60.1% compared with the results in other literature, ECC reduced the hardware area by 43.4%, and the PUF hardware area decreased exponentially with the increase in information entropy. The implementation of the three algorithms is reasonable and cost-effective, and the mixture of algorithms does not increase the required capacity of the hardware resource. The triple-hybrid encryption system cooperates with the image acquisition subsystem, storage subsystem, and asynchronous clock subsystem through software control to realize a complete triple-hybrid encryption SoC chip solution, and was successfully taped-out under the SMIC 40 nm process with all constraints passed and a total area of 10.59 mm${}^2$.

The modal parameters of the Robert A Memorial Millikan Library (referred to Millikan Library) building are estimated with forced vibration test techniques using various different instruments. The 10-story building is a reinforced concrete structure and permanently instrumented with a sensor array of 36-channel Force-Balanced accelerometers (referred to FBA) and two digital recorders primarily to monitor the building dynamic response during earthquakes. Three different tri-axial Micro-Electro Mechanical System (referred to MEMS) accelerometers were also deployed to measure the building response at the basement floor, at 5th floor, and at 9th floor during forced vibration testing. The amplitudes of the responses measured are compared in time domain. Whether the first two fundamental periods can be identified is mainly considered in frequency domain. SNR (abbreviation for Signal to Noise Ratio) is introduced to determine the data quality by fitting a sine function to recorded data. Amplitude characteristic analysis indicates that signal recorded from MEMS accelerometers shows occasional spikes. At low intensity shaking signal amplitudes tend to be equal and amplitude from MEMS is almost always higher than that from FBA. At higher amplitudes, amplitude mismatch becomes larger. The first two fundamental periods of the building in North-South and East-West directions can be clearly distinguished in frequency domain from the response signals recorded by FBAs. Responses recorded by MEMS accelerometers are in higher chaos at the basement floor and visual detection of fundamental frequencies of the building is infeasible The SNR computed for 9th floor response is larger than that of the basement floor response. That indicates that low amplitude response contains more noise than relatively higher response. For the same floor, the SNR computed for the response measured by FBA is always larger than those of responses measured by three MEMS accelerometers. Therefore, MEMS accelerometers should be applied for structural health monitoring with caution when ambient data is of concern.

Analysis of wave propagation within buildings in response to earthquakes enables the tracking of changes in dynamic characteristics using impulse response functions. The velocity of traveling shear waves and the intrinsic attenuation of buildings can be retrieved, providing valuable input for system identification. The Factor Building at the University of California, Los Angeles campus (henceforth referred to as the UCLA Factor Building), an instrumented 15-story steel moment frame structure, is selected for dynamic response characterization. Shear wave travel time and attenuation are computed from wave propagation using seismic interferometry applied to recorded motions, with deconvolved waves used to compute these parameters. In this study, the natural logarithm of the envelopes of waveforms deconvolved with the basement signal provided the measure of attenuation. Additionally, the waveforms deconvolved with the basement motion, indicating the building’s fundamental mode. The frequency and time decay further constrained the shear velocity and attenuation. Shear velocity was determined using arrival times measured from deconvolved waves, resulting in an average velocity of 147.1 m/s. The observed quality factor was 10.8, with a corresponding damping ratio of 5%. The shear wave velocity and damping ratio estimates derived from deconvolved waves showed consistency with those obtained from basement deconvolved waveforms. This consistency validates wave deconvolution as an effective method for isolating building response from excitation and ground coupling. By incorporating the resonant frequencies and damping ratios derived from previous analyses into a refined element model, this study underscores the potential of wave deconvolution for extracting building dynamic characteristics, thereby enhancing our understanding of their responses to earthquakes.

To address the challenges of temperature control and energy waste caused by stepped heating and multiple temperature zones during the pre-oxidation process of polyacrylonitrile-based carbon fibers, this study proposes a continuous heating pre-oxidation method using laser tilted irradiation. Pre-treatment with a 10.6 μm laser and continuous heating pre-oxidation with 976-nm laser tilted irradiation were employed. The pre-oxidation characteristics under different laser irradiation tilt angles were investigated using Raman spectroscopy (RS), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), elemental analysis, and bulk density measurement. The results show that the fiber obtained under irradiation at a 20° laser tilt angle exhibits the smallest core-sheath structure, a Raman R value of 1.82, a pre-oxidation index (SI) of 99.57%, a cyclization rate of 69.67%, and an oxygen content of 9.84%. This indicates that the laser continuous heating pre-oxidation process can effectively suppress the formation of the core-sheath structure, and the prepared samples meet the standards of traditional pre-oxidized fibers (SF).