Positioning with one inertial measurement unit and one ranging sensor is commonly thought to be feasible only when trajectories are in certain patterns ensuring observability. For this reason, to pursue observable patterns, it is required either exciting the trajectory or searching key nodes in a long interval, which is commonly highly nonlinear and may also lack resilience. Therefore, such a positioning approach is still not widely accepted in real-world applications. To address this issue, this work first investigates the dissipative nature of flying robots considering aerial drag effects and re-formulates the corresponding positioning problem, which guarantees observability almost surely. On this basis, a dimension-reduced wriggling estimator is proposed accordingly. This estimator slides the estimation horizon in a stepping manner, and output matrices can be approximately evaluated based on the historical estimation sequence. The computational complexity is then further reduced via a dimension-reduction approach using polynomial fittings. In this way, the states of robots can be estimated via linear programming in a sufficiently long interval, and the degree of observability is thereby further enhanced because an adequate redundancy of measurements is available for each estimation. Subsequently, the estimator's convergence and numerical stability are proven theoretically. Finally, both indoor and outdoor experiments verify that the proposed estimator can achieve decimeter-level precision at hundreds of hertz per second, and it is resilient to sensors' failures. Hopefully, this study can provide a new practical approach for self-localization as well as relative positioning of cooperative agents with low-cost and lightweight sensors.

Ukraine's state electricity operator has announced blackouts in the capital, Kyiv, and seven other regions of the country in the aftermath of Russia's devastating strikes on energy infrastructure. The move comes as Russian forces continue to pound Ukrainian cities and villages with missiles and drones, inflicting damage on power plants and water supplies, in a grinding war that is nearing its nine-month mark. Ukrenergo, the sole operator of Ukraine's high-voltage transmission lines, initially said in an online statement on Saturday that scheduled blackouts will take place in the capital and the greater Kyiv region, as well as several regions around it – Chernihiv, Cherkasy, Zhytomyr, Sumy, Poltava and Kharkiv. Later in the day, however, the company released an update saying that scheduled outages for a specific number of hours are not enough and instead there will be emergency outages, which could last indefinitely. Ukraine has been grappling with power outages and disruption of water supplies since Russia started unleashing barrages of missile and drone attacks on the country's energy infrastructure last month.

Tehran, Iran – Iran for the first time confirmed it sold drones to Russia, but said this happened "months" before the start of the war in Ukraine. Speaking to reporters after an event in Tehran on Saturday, Foreign Minister Hossein Amirabdollahian addressed claims by Western officials that Iranian drones were supplied to Moscow for its invasion, and that surface-to-surface missiles may also be on the way. "Their comments on the missiles part are completely wrong, and the drones part is correct. We gave a limited number of drones to Russia months and before the war in Ukraine," Amirabdollahian said. Iranian officials had previously said on numerous occasions that Tehran had "defence" cooperation with Russia, but had not supplied the Kremlin with arms "for the purpose of being used in the war in Ukraine".

Australian surf lifesavers are increasingly using drones to spot sharks at the beach before they get too close to swimmers. But just how reliable are they? Discerning whether that dark splodge in the water is a shark or just, say, seaweed isn't always straightforward and, in reasonable conditions, drone pilots generally make the right call only 60% of the time. While this has implications for public safety, it can also lead to unnecessary beach closures and public alarm. Engineers are trying to boost the accuracy of these shark-spotting drones with artificial intelligence (AI).

Gorodnia, Ukraine – Crouching in his hidden lookout on the edge of a forest, a Ukrainian border guard scans the horizon to the border with Russia and Belarus just a few kilometers to the north. With the rain pouring down and the clouds low, there will be no Russian drones overflying his remote outpost in northern Ukraine, the last one before the frontier. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites. If this does not resolve the issue or you are unable to add the domains to your allowlist, please see this support page.

KYIV – Russia is funneling newly drafted conscripts with little training to the front line in Ukraine's east while mounting intensified but ineffective attacks and suffering heavy casualties, according to the Ukrainian military and Western analysts. Grisly videos of Russian infantry in poorly prepared positions being struck by artillery have partly supported those assertions, as has reporting in Russian news media of mobilized soldiers telling relatives about high casualty rates. The videos, filmed by Ukrainian drones, have not been independently verified, and their exact locations could not be determined. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites.

Synthetic datasets are beneficial for machine learning researchers due to the possibility of experimenting with new strategies and algorithms in the training and testing phases. These datasets can easily include more scenarios that might be costly to research with real data or can complement and, in some cases, replace real data measurements, depending on the quality of the synthetic data. They can also solve the unbalanced data problem, avoid overfitting, and can be used in training while testing can be done with real data. In this paper, we present, to the best of our knowledge, the first synthetic dataset for Unmanned Aerial Vehicle (UAV) attacks in 5G and beyond networks based on the following key observable network parameters that indicate power levels: the Received Signal Strength Indicator (RSSI) and the Signal to Interference-plus-Noise Ratio (SINR). The main objective of this data is to enable deep network development for UAV communication security. Especially, for algorithm development or the analysis of time-series data applied to UAV attack recognition. Our proposed dataset provides insights into network functionality when static or moving UAV attackers target authenticated UAVs in an urban environment. The dataset also considers the presence and absence of authenticated terrestrial users in the network, which may decrease the deep networks ability to identify attacks. Furthermore, the data provides deeper comprehension of the metrics available in the 5G physical and MAC layers for machine learning and statistics research. The dataset will available at link archive-beta.ics.uci.edu

Unmanned aerial vehicles (UAVs) with on-board cameras are widely used for remote surveillance and video capturing applications. In remote virtual reality (VR) applications, multiple UAVs can be used to capture different partially overlapping angles of the ground target, which can be stitched together to provide 360{\deg} views. This requires coordinated formation of UAVs that is adaptive to movements of the ground target. In this paper, we propose a joint UAV formation and tracking framework to capture 360{\deg} angles of the target. The proposed framework uses a zero touch approach for automated and adaptive reconfiguration of multiple UAVs in a coordinated manner without the need for human intervention. This is suited to both military and civilian applications. Simulation results demonstrate the convergence and configuration of the UAVs with arbitrary initial locations and orientations. The performance has been tested for various number of UAVs and different mobility patterns of the ground target.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Chief diplomats from the world's leading democracies rallied together in a joint statement condemning global adversaries like Iran and North Korea and called on Russia and China to remember their security commitments to the United Nations. After two days of meetings, officials from the Group of 7 (G7) released a lengthy statement Friday in an address to its top geopolitical challengers, warning them to adhere to international laws. United States Secretary of States Antony Blinken and Foreign Minister Yoshimasa Hayashi of Japan, right, meet for bilateral talks at the G7 Foreign Ministers' Meeting in Muenster, Germany, Friday, Nov. 4, 2022.

The United States will fund the refurbishment of T-72 tanks and HAWK surface-to-air missiles as part of a roughly $400 million security assistance package for Ukraine, the Pentagon announced Friday. Air defense and armor capabilities are both high on the list of assistance desired by Ukraine, but the T-72s fall short of more modern tanks such as the German Leopard or US Abrams that have been sought by Kyiv. The "tanks are coming from the Czech Republic defense industry, and the United States is paying for 45 of those to be refurbished, and the government of the Netherlands is matching our commitment" for a total of 90 T-72s, Deputy Pentagon Press Secretary Sabrina Singh told journalists. The T-72s -- a Soviet-era tank -- will be equipped with "advanced optics, communications and armor packages," with some ready by the end of December and others to be delivered in 2023, she said. Asked why more modern tanks were not being provided, Singh cited factors including ease of use and cost. "These are tanks that the Ukrainians know how to use on the battlefield," she said, adding that "introducing a new main battle tank is extremely costly, is time sensitive, and it would be a huge undertaking for the Ukrainian forces."