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In DRAM refresh, due to a few cells that have lower retention time, it makes DRAM controller to raise refresh frequency to keep the data integrity, and produces unnecessary refresh for the other normal cells which resulting in large DRAM refresh overhead. To resolve this problem, we propose an integration scheme for DRAM refresh based on the retention-aware auto refresh (RAAR) method. With given distribution...
Wireless transmission over 15Gb/s data rate is reported using space diversity MIMO. Multi-diversity planar antennas are designed and fabricated to transmit and receive the radio frequency signal simultaneously in 2 radiation diversities. Reliable 15Gb/s indoor data transmission over 5m distance is demonstrated in the super high frequency band (SHF) of 11.6GHz to 20.4GHz. Low BER is achieved with 2×2...
Despite the remarkable progress in recent years, detecting objects in a new context remains a challenging task. Detectors learned from a public dataset can only work with a fixed list of categories, while training from scratch usually requires a large amount of training data with detailed annotations. This work aims to explore a novel approach – learning object detectors from documentary...
This work demonstrates a 56-Gbps 4-PAM EML-based transmission system. Using an O-band SOA to increase power budget and FFE/DFE to compensate SOA-induced ISI, 37.8-km transmission is successfully implemented with BER below the FEC limit (2 × 10−4)
We applied partial transmit sequence and Volterra filtering to achieve 67.6% improvement in capacity in a high-launch-power 60-km OFDM LR-PON. 61-Gbps capacity and 30-dB loss budget were realized to support 64 ONUs with 0.95 Gbps/ONU.
The rapid development of cloud computing has resulted in the emergence of numerous web services on the Internet. Selecting a suitable cloud service is becoming a major problem for users especially non-professionals. Quality of Service (QoS) is considered to be the criterion for judging web services. There are several Collaborative Filtering (CF)-based QoS prediction methods proposed in recent years...
We demonstrate the first silicon photonics enabled hyper-wideband wireless link with an instantaneous bandwidth of 12 GHz, which is 85% of the center frequency of 14 GHz. The silicon photonics based RF receiver consists of a four-channel optical phase encoder, an integrated hybrid-silicon mode-locked laser, and two silicon ring notch filters. The received CDMA RF wireless signal is correlated to baseband...
This paper describes the design and delivery of a successful Massive Open On-line Course (MOOC), namely “Introductory Styling”, that implements three phases of a lecture video to teach introductory fashion design and styling to a wide audience. The decisions behind the curriculum and video editing strategy are described in detail, and the results are evaluated based on follow-up...
Android allows developers to build apps with app installation functionality themselves with minimal restriction and support like any other functionalities. Given the critical importance of app installation, the security implications of the approach can be significant. This paper reports the first systematic study on this issue, focusing on the security guarantees of different steps of the App Installation...
A 400-Gbps WDM-OFDM LR-PON over 60-km SMF is demonstrated with a 10G-class EAM and PIN. 25-dB loss budget is realized without in-line or pre-amplifier to economically support 128 ONUs with 3.1-Gbps/ONU capacity.
Novel method for tapless locking of silicon ring modulators for WDM applications is discussed. Wavelength locking with an athermal operation over the temperature variations of 6°C is demonstrated at a data rate of 10 Gbit/s.
We present a blindly adaptive nonlinear channel equalizer that effectively compensates nonlinearity in SSB-PAM4 transceiver components. The proposed scheme is demonstrated over 56GBaud PAM4 transmission over 80km dispersion uncompensated link with low BER near 10−4.
Flow completion times (FCTs) are critical for many cloud applications. To minimize the average FCT, recent transport designs, such as pFabric, PASE, and PIAS, approximate the Shortest Remaining Time First (SRTF) scheduling. A common, implicit assumption of these solutions is that the remaining time is only determined by the remaining flow size. However, this assumption does not hold in many real-world...
Recently, many researchers focus on the applications of ionic liquids (ILs) because they are almost non-volatile, thus appear to be easily separated. One of the applications is that ionic liquids can be used as entrainer in extractive distillation. This work designs an extractive distillation system using ionic liquids as entrainer for isopropyl alcohol (IPA) dehydration. First, a way to build thermodynamic...
SCADA (Supervisory Control and Data Acquisition) system is the core component of industrial and critical infrastructure, and cyber security of SCADA system has become the key consideration of system managers and engineers. Therefore, a great many of standards, guidelines and best practices have been developed to give reference of SCADA system cyber security, hoping to provide some instructions for...
Coherent lidar is reported with precision 130um and multi-target resolution 6mm. The system is based on simultaneous modulation of the in-phase and quadrature components of the transmitted optical signal and uses simplified homodyne detection.
We report the fabrication of moiré metasurfaces by moiré nanosphere lithography and their optical properties. Moire metasurfaces consist of a wide variety of metallic nanoparticles and show multi-band absorption peaks from visible to infrared range.
Scene text information extraction plays an important role in many computer vision applications. Unlike most existing text extraction algorithms for English texts, in this paper, we focus on Chinese texts, which are more complex in stroke and structure. To tackle this challenging problem, we propose a novel convolutional neural network (CNN) based text structure feature extractor for Chinese texts...
In today's technology industry where machine learning has become essential, the effectiveness of algorithms ultimately depends on a robust data pipeline, and fast model prototyping and tuning require easy feature discovery and consumption. Careful management of ETL processes and their produced datasets is key to both model development in the research stage and model execution in the production environment...
The performance of List Successive-Cancellation Decoding (LSCD) of Polar Codes with large list size have exceeded that of Turbo codes and Low-Density Parity-Check codes. However, large list size results in huge computation complexity and this limits the applicability of LSCD in high-throughput and power- sensitive applications. In this work, a low complexity design for LSCD with large list size based...
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