Copyright Enforcement of Non-Copyright Terms: MDY v. Blizzard and Krause v. Titleserv

The rise of software and software licensing has led to another phenomenon: the attempted enforcement of software licenses through copyright law. Over the last fifteen years, content creators have begun to bring copyright suits against licensees, arguing that violation of license terms withdraws the permission needed to run the software, turning the use of the software into copyright infringement. Not surprisingly, courts have rejected this argument, and both the Ninth Circuit, in MDY v. Blizzard, and the Second Circuit, in Krause v. Titleserv, have developed new legal rules to prevent copyright enforcement of contract terms. This iBrief explores software licensing in detail, analyzes the courts’ responses, and concludes that the Ninth Circuit’s approach to copyright enforcement of license terms is preferable to the Second Circuit’s approach because it is supported by legislative history, more straightforward, and more likely to prevent future content creators from enforcing their licenses through contract

Satellite Imagery Multiscale Rapid Detection with Windowed Networks

Detecting small objects over large areas remains a significant challenge in satellite imagery analytics. Among the challenges is the sheer number of pixels and geographical extent per image: a single DigitalGlobe satellite image encompasses over 64 km2 and over 250 million pixels. Another challenge is that objects of interest are often minuscule (~pixels in extent even for the highest resolution imagery), which complicates traditional computer vision techniques. To address these issues, we propose a pipeline (SIMRDWN) that evaluates satellite images of arbitrarily large size at native resolution at a rate of > 0.2 km2/s. Building upon the tensorflow object detection API paper, this pipeline offers a unified approach to multiple object detection frameworks that can run inference on images of arbitrary size. The SIMRDWN pipeline includes a modified version of YOLO (known as YOLT), along with the models of the tensorflow object detection API: SSD, Faster R-CNN, and R-FCN. The proposed approach allows comparison of the performance of these four frameworks, and can rapidly detect objects of vastly different scales with relatively little training data over multiple sensors. For objects of very different scales (e.g. airplanes versus airports) we find that using two different detectors at different scales is very effective with negligible runtime cost.We evaluate large test images at native resolution and find mAP scores of 0.2 to 0.8 for vehicle localization, with the YOLT architecture achieving both the highest mAP and fastest inference speed.Comment: 8 pages, 7 figures, 2 tables, 1 appendix. arXiv admin note: substantial text overlap with arXiv:1805.0951

Provision of metro ethernet services using a reconfigurable photonic access network

The paper proposes a design for traffic engineering to provide Ethernet services using an extended access network. Ethernet has remained the dominant technology for Local Area and Enterprise Networks, the use of Ethernet in metro networks has seen significant interest of late to provide for end to end Ethernet services to the user. The Broadband Photonic (BBP) access network is viewed as a quasi independent stack of EPONs in which geographically spread customer-VLANs (C-VLANs) can be implemented. The use of such a network for providing metro Ethernet like services in addition to traditional access services is presented

Introduction to Random Signals and Noise

Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals and noise. With worked examples, problems, and detailed appendices, Introduction to Random Signals and Noise gives the reader the knowledge to design optimum systems for effectively coping with unwanted signals.\ud \ud Key features:\ud • Considers a wide range of signals and noise, including analogue, discrete-time and bandpass signals in both time and frequency domains.\ud • Analyses the basics of digital signal detection using matched filtering, signal space representation and correlation receiver.\ud • Examines optimal filtering methods and their consequences.\ud • Presents a detailed discussion of the topic of Poisson processed and shot noise.\u

Push-pull modulated analog photonic link with enhanced sfdr

We demonstrate an analog photonic link (APL) with a high multioctave spurious-free dynamic range (SFDR) of 120 dB.Hz2/3 at the frequency of 2.50 GHz. The APL consists of a pair of distributed-feedback laser diodes (DFB LDs), modulated in a push-pull manner, and a balanced photodetector aiming at suppressing the second-order intermodulation distortion (IMD2). At the frequency of 2.50 GHz, an IMD2 suppression of 40 dB, relative to the case of a single arm APL with one laser, is obtained. In a wide frequency range of 600 MHz (2.60 to 3.20 GHz), an improvement of 5 to 18 dB of the second-order SFDR relative to the single arm APL has been achieved.\ud \u

An ultra fast optical header replacement technology and its application for broadband optical packet switch.

An optical header replacement technology based on Self Electro-optic Effect Devices (SEEDs) is presented. By using the measurement result of a 75 μm long SEED device, we simulate an 8 Gbps throughput is achievable. Based on the switching characteristics of SEEDs, we proposed several methods to improve the SEEDs switching speed. An ultra fast switching speed at 50 Gbps is achievable by integrating external components and applying a pair of preset pulses. Due to the convenience of operation in both the optical domain and the electrical domain, it is very suitable for optical header processing; therefore it is an ideal candidate solution for optical fast packet switch