cicada
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
Lan, Tian, Gao, Yifei, Lu, Yimeng, Zhang, Chen
Unsupervised Time series anomaly detection plays a crucial role in applications across industries. However, existing methods face significant challenges due to data distributional shifts across different domains, which are exacerbated by the non-stationarity of time series over time. Existing models fail to generalize under multiple heterogeneous source domains and emerging unseen new target domains. To fill the research gap, we introduce CICADA (Cross-domain Interpretable Coding for Anomaly Detection and Adaptation), with four key innovations: (1) a mixture of experts (MOE) framework that captures domain-agnostic anomaly features with high flexibility and interpretability; (2) a novel selective meta-learning mechanism to prevent negative transfer between dissimilar domains, (3) an adaptive expansion algorithm for emerging heterogeneous domain expansion, and (4) a hierarchical attention structure that quantifies expert contributions during fusion to enhance interpretability further.Extensive experiments on synthetic and real-world industrial datasets demonstrate that CICADA outperforms state-of-the-art methods in both cross-domain detection performance and interpretability.
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Insect-Computer Hybrid Speaker: Speaker using Chirp of the Cicada Controlled by Electrical Muscle Stimulation
Tsukuda, Yuga, Nishida, Naoto, Lu, Jun, Ochiai, Yoichi
We propose "Insect-Computer Hybrid Speaker", which enables us to make musics made from combinations of computer and insects. Lots of studies have proposed methods and interfaces for controlling insects and obtaining feedback. However, there have been less research on the use of insects for interaction with third parties. In this paper, we propose a method in which cicadas are used as speakers triggered by using Electrical Muscle Stimulation (EMS). We explored and investigated the suitable waveform of chirp to be controlled, the appropriate voltage range, and the maximum pitch at which cicadas can chirp.
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11 weird, groundbreaking, and cute animal stories from 2024
Whether a large and fuzzy social media sensation or deep-sea slug slunking around the ocean's Midnight Zone, there are still so many exciting animals on Earth just waiting for their close-up. In that spirit, here are the 11 of the most exciting animal stories that Popular Science covered this year. A wildlife filmmaker and biology doctoral student took what could be the first picture of a newborn great white shark. Filmmaker Carlos Gauna and University of California, Riverside biology doctoral student Phillip Sternes were looking for sharks near Santa Barbara on California's central coast. Most great whites are gray on top with white bellies, but Gauana's drone camera showed a roughly 5-foot-long shark pup that had more white on its body than normal.
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Real-time Anomaly Detection at the L1 Trigger of CMS Experiment
The Compact Muon Solenoid (CMS) experiment studies these collisions to uncover potential Beyond Standard Model (BSM) physics and precisely measure rare Standard Model (SM) processes [2]. While the high collision rate at the LHC increases the probability of producing and detecting rare processes, the nearly 100 million channels of the CMS detector also generate an enormous amount of data [10, 14]. Only a small fraction of the 40 MHz proton-proton collision events--around 1,000 per second--can be stored for detailed offline analysis. To meet this stringent data reduction, events are selected using a two-tiered trigger system. The first level (L1), composed of custom hardware processors built with field-programmable gate arrays (FPGAs), uses information from the calorimeters and muon detectors to select events at a rate of around 100 kHz within a fixed latency of 4 [14]. The second level, the high-level trigger (HLT), consists of a processor farm running optimized event reconstruction software, reducing the rate to around 1 kHz before storage [10].
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Brood X cicadas interfere with cars, planes, weather radar
Incessant cicada shrill alarms a Georgia town. Fox News' Steve Harrigan has the details. Cicadas have taken over large swaths of the United States, interrupting sleep, causing car crashes and even bombarding President Biden on Wednesday as he prepared to board Air Force One. Trillions of the insects have emerged after 17 years underground in approximately 15 states, leaving nymph exoskeletons littered around city parks and backyards. The red-eyed bugs are especially active amid hot weather conditions that have swept the country in past weeks and residents of heavy cicada areas have taken note.
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- North America > United States > District of Columbia (0.18)
Google's new Pixel Buds A-Series: They sound good and the $99 price is right
Could be a price war coming to the wireless ear bud battle? Less than a month after Amazon's Echo Buds debuted undercutting Apple's AirPods, Google is launching its newest Pixel Buds at a lower price than Amazon's latest – and lower than previous Pixel Buds ($179), released last year. Pixel Buds A-Series ($99) can be pre-ordered today on Google's web site and will be shipped by June 17. Google's latest may not have all the bells and whistles found on pricier pods – such as the noise cancellation you get on AirPods Pro ($249) and Samsung's Galaxy Buds Pro ($199). But the new Pixel Buds may be just the right choice if you are looking to join the wireless wave.
I'm a Cicada. You're a Horny Human. We Are Not the Same
What has six legs, is reemerging after being isolated for eons in its own anal fluids, and just wants to bone all summer long? You, you vaccinated horndog, shedding your grubby sweatsuit exoskeleton and so eager to scurry about for sex, brunch, and spiked seltzers that you've practically sprouted extra limbs. Brood X Cicada is a Brood X cicada based in the backyard garden of a retired math teacher in West Virginia. This is his first and last published piece. OK, the anatomically correct answer is me, a Brood X cicada.
US Navy developing robot cicadas to drop into hurricanes
The U.S. Navy is testing tiny robot drones that fly in swarms like cicadas to collect data. The CICADs - or'close-in covert autonomous disposable aircrafts - are designed to be cheap enough that a bunch can be dropped simultaneously from the sky and even into storm conditions like hurricanes. The Naval Research Lab has been working on the technology in various ways since 2011, but the focus of this specific iteration - MK5 - is a shape that would allow them to be stackable. The stackable robots disperse to their own GPS coordinates to collect data. Currently, 32 can be released at once. Once landed, they send the data back to the aircraft they were dropped from.
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Naval Research Lab Tests Swarm of Stackable CICADA Microdrones
The U.S. Naval Research Lab has been working on its CICADA (Close-In Covert Autonomous Disposable Aircraft) drones since at least 2011. The tiny drones are designed to be carried aloft by other aircraft and dropped, whereupon they'll use GPS and little fins to glide to within 15 feet of their destination. They can carry a small sensor payload, and they're designed to be cheap enough that you can use a whole bunch of them all at once. At the Sea Air Space Expo back in April, we checked out the latest MK5 CICADA prototypes, along with a new delivery system that'll launch 32 of them out of a standardized sonobuoy tube all at once. The CICADA drones themselves consist mostly of a printed circuit board, which makes up the wings and also contains a custom autopilot system that can recover from the crazy tumbling that you can see when the CICADAs are initially deployed. A 3D-printed fuselage minimizes the amount of hands-on assembly time required, and the general idea is that eventually, these things will be created and assembled entirely by robots.
How Cryptocurrencies can Offer Universal Basic Income; a Response to the 'AI Threat'
Artificial intelligence (AI) is destined to be more efficient than ever reachable for humans in most instances. The growing emergence of AI across many industries means that people's jobs are under threat. Across the working spectrum, it will impact those in the blue-collar occupations such as taxi drivers factory employees as well as white-collar professions such as doctors and managers. Therefore leaving the majority of the working population being affected by either complete automation or partial automation of their careers. One of the first industries to be disrupted will be trucking.
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