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Association for Computing Machinery

Magazine: Spring 2022 | Volume 28, No. 3

COLUMN: Letter from the editors

Getting involved

By Ross Teixeira

HTML | In the Digital Library
Tags: Computing organizations, General literature

COLUMN: Advice

Choosing a career

By Sepideh Maleki

HTML | In the Digital Library
Tags: Computing occupations

DEPARTMENT: Milestones

The journey to smart cities

By Manandeep

HTML | In the Digital Library
Tags: History of computing

SECTION: Features


Smart mobility

Transportation is an essential component of living in smart cities, but what would mobility in smart cities look like? This article is an overview of the opportunities and challenges presented by smart mobility.

By Arnav Choudhry

HTML | In the Digital Library
Tags: Accessibility, Engineering, Transportation

Benchmarking robots in smart cities

In order for robots to become integrated into society, we need to be able to prove that robots do their jobs reliably. Robot benchmarking competitions in smart cities offer a glimpse into our future.

By Matthew Studley, Valentina Presutti, Daniele Nardi, Sarah Carter

HTML | In the Digital Library
Tags: Artificial intelligence, HCI design and evaluation methods, Robotics

Technology to support independent navigation of people with visual impairments

Smart cities have the potential to improve mobility for people with disabilities, but only if their needs are considered up front and not as an afterthought. Prior research shows promising paths for real-world deployments and for new technological innovations.

By João Guerreiro

HTML | In the Digital Library
Tags: Accessibility, People with disabilities

The challenges and future of navigation for people with disabilities

People with disabilities can pervasively obtain navigation services based on modern machine learning and 5G techniques.

By Jialong Zhou, Chen Qiu, Bin Guo, Zhiwen Yu

HTML | In the Digital Library
Tags: Global positioning systems, People with disabilities

Non-IID spatio-temporal prediction in smart cities

Non-IID spatio-temporal prediction research points toward emerging directions and fundamental solutions to address various complexities from the perspective of both data couplings and heterogeneity. Delving into the non-IID challenge and opportunity of spatio-temporal prediction in smart cities, this article also addresses current solutions to bring some inspiration to future researchers.

By Siyuan Ren, Bin Guo, Qinfen Wang, Zhiwen Yu

HTML | In the Digital Library
Tags: Data streaming, Data structures design and analysis, Spatial-temporal systems

Formal methods enhance deep learning for smart cities

Rigorous approaches based on formal methods have the potential to fundamentally improve many aspects of deep learning. This article discusses the challenges and future directions of formal methods enhanced deep learning for smart cities.

By Meiyi Ma

HTML | In the Digital Library
Tags: Embedded and cyber-physical systems, Formal methods, Logic


Safer together

A pioneer of digital contact tracing discusses the considerations that went into building the world's first national contact tracing app and ponders the future of the technology.

By Jason Bay

HTML | In the Digital Library
Tags: Computing / technology policy, Health informatics, Ubiquitous and mobile devices

The principle of least sensing

With the worldwide emergence of data protection regulations, how to conduct law-regulated big data analytics becomes a challenging and fundamental problem. This article introduces the principle of least sensing, a promising sensing paradigm toward legally regulated big data analytics.

By Leye Wang

HTML | In the Digital Library
Tags: Data mining, Database and storage security, Government technology policy