Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Networked tethered flying platforms' superior monitoring coverage compared to ground-based cameras make them well-suited for surveillance and long-range detection. Large-scale events, such as the Hajj, constitute complex logistical events that attract approximately two to three million pilgrims annually to Makkah, Saudi Arabia. The immense scale of these gatherings presents significant challenges related to crowd management, infrastructure, public safety, and connectivity which can adversely impact both the pilgrimage experience and their well-being. The Hajj presents significant challenges in mobility, security, and connectivity, impacting the pilgrimage experience and requiring improved solutions.

The government aims to put a facial recognition system into practical use to prevent new coronavirus infections at large-scale events including the Tokyo Olympics and Paralympics, it was learned Friday. The government also hopes to improve the national capacity to conduct saliva-based polymerase chain reaction tests to simultaneously detect cases of influenza and novel coronavirus infection, informed sources said. The proposals are included in a draft program for developing new technologies for preventing coronavirus infection. The government will unveil the program shortly and carry out demonstration tests at relevant ministries and agencies. According to the draft, the government is looking at using security cameras equipped with a facial recognition system to record the movements of visitors to the Tokyo Games, which were postponed to 2021, and other large-scale events, the sources said.

The monitoring of large dynamic networks is a major chal- lenge for a wide range of application. The complexity stems from properties of the underlying graphs, in which slight local changes can lead to sizable variations of global prop- erties, e.g., under certain conditions, a single link cut that may be overlooked during monitoring can result in splitting the graph into two disconnected components. Moreover, it is often difficult to determine whether a change will propagate globally or remain local. Traditional graph theory measure such as the centrality or the assortativity of the graph are not satisfying to characterize global properties of the graph. In this paper, we tackle the problem of real-time monitoring of dynamic large scale graphs by developing a geometric approach that leverages notions of geometric curvature and recent development in graph embeddings using Ollivier-Ricci curvature [47]. We illustrate the use of our method by consid- ering the practical case of monitoring dynamic variations of global Internet using topology changes information provided by combining several BGP feeds. In particular, we use our method to detect major events and changes via the geometry of the embedding of the graph.

Domestic companies are coming up with a series of new services that leverage the latest in drone technology. MicroAd Inc., a Tokyo-based online advertising company, has unveiled a service called Sky Magic to produce sound-and-light extravaganzas. Drones illuminated with LED lights can project logos, words, shapes and pictures in spaces above large-scale events. At its roll-out event in Chiba in April, five drones flew in a formation depicting an inverted image of Mt. Fuji as a live shamisen performance was held in front of an audience of some 1,300.