Towards Autonomous Aviation Operations: What Can We Learn from Other Areas of Automation?

Rapid advances in automation has disrupted and transformed several industries in the past 25 years. Automation has evolved from regulation and control of simple systems like controlling the temperature in a room to the autonomous control of complex systems involving network of systems. The reason for automation varies from industry to industry depending on the complexity and benefits resulting from increased levels of automation. Automation may be needed to either reduce costs or deal with hazardous environment or make real-time decisions without the availability of humans. Space autonomy, Internet, robotic vehicles, intelligent systems, wireless networks and power systems provide successful examples of various levels of automation. NASA is conducting research in autonomy and developing plans to increase the levels of automation in aviation operations. This paper provides a brief review of levels of automation, previous efforts to increase levels of automation in aviation operations and current level of automation in the various tasks involved in aviation operations. It develops a methodology to assess the research and development in modeling, sensing and actuation needed to advance the level of automation and the benefits associated with higher levels of automation. Section II describes provides an overview of automation and previous attempts at automation in aviation. Section III provides the role of automation and lessons learned in Space Autonomy. Section IV describes the success of automation in Intelligent Transportation Systems. Section V provides a comparison between the development of automation in other areas and the needs of aviation. Section VI provides an approach to achieve increased automation in aviation operations based on the progress in other areas. The final paper will provide a detailed analysis of the benefits of increased automation for the Traffic Flow Management (TFM) function in aviation operations

Aligning Community Colleges to Their Local Labor Markets

Examines ways to better align community college curricula with employer needs, including analyzing online job ads to gather data on occupation and skill demands; examples of use of labor market information; and the potential and limitations of such data

Exploring the Effectiveness of Transit Security Awareness Campaigns in the San Francisco Bay Area, Research Report 09-19

Public involvement in alerting officials of suspicious and potentially harmful activity is critical to the overall security of a transit system. As part of an effort to get passengers and the public involved, many transit agencies have security awareness campaigns. The objective of this research is to learn how transit agencies seek to make security awareness campaigns effective and explore how they measure the effectiveness of such campaigns, if at all. This research project includes data from case studies of five major agencies that provide transit service in the San Francisco Bay Area region. The case study data are comprised of descriptions of the types of security awareness campaigns the agencies have implemented, the goals of the campaigns, and how they seek to make their campaigns effective, as well as whether and how these agencies measure and determine the effectiveness of their campaigns. A positive finding of this research is the consistency with which Bay Area transit organizations address the need for passenger awareness as part of their overall security program. However, none of the five agencies analyzed for this study measures the effectiveness of their campaigns. Whereas they all have a similar goal—to increase passenger awareness about security issues—little evidence exists confirming to what extent they are achieving this goal. The paper concludes with suggestions for using outcome measurements to provide a reasonable indication of a campaign’s effectiveness by capturing the public’s response to a campaign

Spartan Daily, March 7, 2001

Volume 116, Issue 29https://scholarworks.sjsu.edu/spartandaily/9665/thumbnail.jp

Collaborating to Create Elder Friendly Communities in New Hampshire: A Scan of the Current Landscape

The fact that the population of the United States is aging is no surprise; the demographic projections are well documented. There have never been as many older adults living as there are today, and this number will only increase. Northern New England is aging more rapidly than the rest of the country, with Vermont, Maine, and New Hampshire having the oldest populations in term of median age (U.S. Census, 2014). New Hampshire is expected to be the fastest aging state in New England through 2030, with nearly one-third of its population being over the age of 65 (Norton, 2011). This phenomenon is anticipated to place substantial pressure on publicly-funded health programs and long-term services and supports in the Granite State. But the story of the aging of the population is not only about increased numbers. As longevity increases, the average age of the older population will see a dramatic increase. The number of persons over the age of 85 in the United States is expected to increase five-fold by 2040. As the possibility for functional limitations and disability increases with age, the need for long-term, formal, and informal supports is expected to increase as the number of older adults, particularly those over the age of 85 increases. In addition, women continue to live longer than men; on average, life expectancy for women is three years longer than for men. These factors create a complex picture of aging, which includes a growing population of older adults, a majority of whom will be women; and a growing number of those over the age of 85, who are more likely to require some type of assistance as they age. It is a mistake to look at our aging population in a singular way. Although we tend to make generalizations about older adults, as a group, they are more physiologically and socially diverse than any other age group (Brummel-Smith & Mosqueda, 2003). As we age, we become more and more diverse, as there are no two people who have had the same life experiences, shaping who we are over our lifetimes. The baby boomers (those born between 1946 and 1964) are likely to be the most diverse cohort of older adults we have seen to date, and it is likely that they will redefine our conception of age and aging. Older adults bring a diverse set of skills, talents, and knowledge that should be tapped as a significant natural resource to support a new and exciting vision of aging

Spartan Daily, March 7, 2001

Volume 116, Issue 29https://scholarworks.sjsu.edu/spartandaily/9665/thumbnail.jp

The Rise of Mobile and the Diffusion of Technology-Facilitated Trafficking

In this report, researchers at the USC Annenberg Center on Communication Leadership & Policy (CCLP) reveal how those involved in human trafficking have been quick to adapt to the 21st-century global landscape. While the rapid diffusion of digital technologies such as mobile phones, social networking sites, and the Internet has provided significant benefits to society, new channels and opportunities for exploitation have also emerged. Increasingly, the business of human trafficking is taking place online and over mobile phones. But the same technologies that are being used for trafficking can become a powerful tool to combat trafficking. The precise role that digital technologies play in human trafficking still remains unclear, however, and a closer examination of the phenomenon is vital to identify and respond to new threats and opportunities.This investigation indicates that mobile devices and networks have risen in prominence and are now of central importance to the sex trafficking of minors in the United States. While online platforms such as online classifieds and social networking sites remain a potential venue for exploitation, this research suggests that technology facilitated trafficking is more diffuse and adaptive than initially thought. This report presents a review of current literature, trends, and policies; primary research based on mobile phone data collected from online classified sites; a series of firsthand interviews with law enforcement; and key recommendations to policymakers and stakeholders moving forward

An Experience-Connected e-Learning System with a Personalization Mechanism for Learners’ Situations and Preferences

This paper presents an “experience-connected” e- Learning system that facilitates users to learn practical skills of foreign language by associating knowledge and daily-life experiences. “Experience-Connected” means that the users of this system receive personalized and situation-dependent learning materials automatically. Knowledge associated to users’ daily-life has the following advantages: 1) provides opportunities to learn frequently, and 2) provides clear and practical context information about foreign language usage. The unique feature of this system is a dynamic relevance computation mechanism that retrieves learning materials according to both preference relevance and spatiotemporal relevance. Users of this system obtain appropriate learning materials, without manual and time-consuming search processes. This paper proves the feasibility of the system by showing the actual system implementation that automatically broadcasts the media-data of foreign language learning materials to smart-phones