What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics

This paper is about enabling robots to improve their perceptual performance through repeated use in their operating environment, creating local expert detectors fitted to the places through which a robot moves. We leverage the concept of 'experiences' in visual perception for robotics, accounting for bias in the data a robot sees by fitting object detector models to a particular place. The key question we seek to answer in this paper is simply: how do we define a place? We build bespoke pedestrian detector models for autonomous driving, highlighting the necessary trade off between generalisation and model capacity as we vary the extent of the place we fit to. We demonstrate a sizeable performance gain over a current state-of-the-art detector when using computationally lightweight bespoke place-fitted detector models.Comment: IROS 201

Stochastic Models for the 3x+1 and 5x+1 Problems

This paper discusses stochastic models for predicting the long-time behavior of the trajectories of orbits of the 3x+1 problem and, for comparison, the 5x+1 problem. The stochastic models are rigorously analyzable, and yield heuristic predictions (conjectures) for the behavior of 3x+1 orbits and 5x+1 orbits.Comment: 68 pages, 9 figures, 4 table

Initial Evaluation of Accessibility and Design Awareness with 3-D Immersive Environments

This paper describes an effort to build and evaluate the effectiveness of an immersive 3-D visualization system to help increase the awareness that students have when designing software that has a high level of accessibility for the differently abled. The demonstration utilizes an immersive virtual reality (VR) environment in which we simulated two types of colorblindness in a generally familiar environment. We report on the initial trial of this tool and the results of student surveys designed to assess impact on student perception and understanding and demonstrate that the use of virtual environments can give students greater empathy for individuals with visual impairments

Oncologic Emergencies: Immune-Based Cancer Therapies and Complications

Cancer therapies have undergone several recent advancements. Current cancer treatments include immune-based therapies comprised of checkpoint inhibitors, and adoptive immunotherapy; each treatment has the potential for complications that differ from chemotherapy and radiation. This review evaluates immune-based therapies and their complications for emergency clinicians. Therapy complications include immune-related adverse events (irAE), cytokine release syndrome (CRS), autoimmune toxicity, and chimeric antigen receptor (CAR) T-cell-related encephalopathy syndrome (CRES). Immune-related adverse events are most commonly encountered with checkpoint inhibitors and include dermatologic complications, pneumonitis, colitis/diarrhea, hepatitis, and endocrinopathies. Less common irAEs include nephritis, myocardial injury, neurologic toxicity, ocular diseases, and musculoskeletal complications. CRS and CRES are more commonly associated with CAR T-cell therapy. CRS commonly presents with flu-like illness and symptoms resembling sepsis, but severe myocardial and pulmonary disease may occur. Critically ill patients require resuscitation, broad-spectrum antibiotics, and hematology/oncology consultation

Telecommunications 2004: Strategy, HR Practices & Performance - Cornell-Rutgers Telecommunications Project

This national benchmarking report of the U.S. telecommunications services industry traces the tumultuous changes in management and workforce practices and performance in the sector over the last 5 years. This is a follow-up report to our 1998 study. At that time, when the industry was booming, we conducted a national survey of establishments in the industry. In 2003, we returned to do a second national survey of the industry, this time in a sector that was recovering from one of the worst recessions in its history

Phonon engineering through crystal chemistry

Mitigation of the global energy crisis requires tailoring the thermal conductivity of materials. Low thermal conductivity is critical in a broad range of energy conversion technologies, including thermoelectrics and thermal barrier coatings. Here, we review the chemical trends and explore the origins of low thermal conductivity in crystalline materials. A unifying feature in the latest materials is the incorporation of structural complexity to decrease the phonon velocity and increase scattering. With this understanding, strategies for combining these mechanisms can be formulated for designing new materials with exceptionally low thermal conductivity

SKI: A New Agile Framework that supports DevOps, Continuous Delivery, and Lean Hypothesis Testing

This paper explores the need for a new process framework that can effectively support DevOps and Continuous Delivery teams. It then defines a new framework, which adheres to the lean Kanban philosophy but augments Kanban by providing a structured iteration process. This new Structured Kanban Iteration (SKI) framework defines capability-based iterations (as opposed to Kanban-like no iterations or Scrum-like time-based sprints) as well as roles, meetings and artifacts. This structure enables a team to adopt a well-defined process that can be consistently used across groups and organizations. While many of SKI’s concepts are similar to those in found in Scrum, SKI’s capability-based iterations can support the demands of product development as well as operational support efforts, and hence, is well suited for DevOps and Continuous Delivery. SKI also supports lean hypothesis testing as well as more traditional software development teams where capability-based iterations are deemed more appropriate than time-based sprints

Hybrid ASP

This paper introduces an extension of Answer Set Programming (ASP) called Hybrid ASP which will allow the user to reason about dynamical systems that exhibit both discrete and continuous aspects. The unique feature of Hybrid ASP is that it allows the use of ASP type rules as controls for when to apply algorithms to advance the system to the next position. That is, if the prerequisites of a rule are satisfied and the constraints of the rule are not violated, then the algorithm associated with the rule is invoked