Discovering meaningful conceptual structures is a substantial task in data mining and knowledge discovery applications. While off-the-shelf interestingness indices defined in Formal Concept Analysis may provide an effective relevance evaluation in several situations, they frequently give inadequate results when faced with massive formal contexts (and concept lattices), and in the presence of irrelevant concepts. In this paper, we introduce the Conceptual Relevance (CR) score, a new scalable interestingness measurement for the identification of actionable concepts. From a conceptual perspective, the minimal generators provide key information about their associated concept intent. Furthermore, the relevant attributes of a concept are those that maintain the satisfaction of its closure condition. Thus, the guiding idea of CR exploits the fact that minimal generators and relevant attributes can be efficiently used to assess concept relevance. As such, the CR index quantifies both the amount of conceptually relevant attributes and the number of the minimal generators per concept intent. Our experiments on synthetic and real-world datasets show the efficiency of this measure over the well-known stability index.

An exoskeleton that lets amputees feel like they are'walking with two normal legs' has been developed by scientists using battery-powered electric motors. The powerful exoskeleton, which wraps around the wearer's waist and leg, was developed by a team of engineers at the University of Utah in Salt Lake City. It has been designed for above-the-knee amputees and uses battery-powered electric motors and embedded microprocessors to reduce walking effort. The 5.4lb frame is made of carbon-fibre material, plastic composites and aluminium and can walk for miles between charges, according to its creators. Those wearing it saw a 15.6 per cent reduction in their metabolic rate, equivalent to taking off a 26-pound backpack while out on a long walk, the team said.

OceanX, a team of marine biologists, media and filmmakers, embarked on a quest in 2020 to explore the depths of the Red Sea where they not only found a giant shipwreck, but a massive creature that appeared to be larger than a human. While investigating the'Pella,' which sank in November 2011, at a depth of 2,800 feet, the group spotted what they thought could be'The Giant Squid.' 'I will never forget what happened next for as long as I live,' said OceanX science program lead Mattie Rodrigue in a video taken of the discovery. 'All of a sudden, as we're looking at the bow of the shipwreck, this massive creature comes into view, takes a look at the ROV [remotely operated vehicle] and curls its entire body around the bow of the wreck.' It was not until September 2021 did the team learn that the mysterious creature was'the giant form' of the purpleback flying squid, which typically grow up to two feet long. The OceanX team traveled to the Red Sea aboard the OceanXplorer, a research vessel with a 40-ton crane to launch submersibles, towed sonar arrays and other heavy equipment down into the depths.

Electric Vehicles (EVs) are spreading fast as they promise to provide better performances and comfort, but above all, to help facing climate change. Despite their success, their cost is still a challenge. One of the most expensive components of EVs is lithium-ion batteries, which became the standard for energy storage in a wide range of applications. Precisely estimating the Remaining Useful Life (RUL) of battery packs can open to their reuse and thus help to reduce the cost of EVs and improve sustainability. A correct RUL estimation can be used to quantify the residual market value of the battery pack. The customer can then decide to sell the battery when it still has a value, i.e., before it exceeds its end of life of the target application and can still be reused in a second domain without compromising safety and reliability. In this paper, we propose to use a Deep Learning approach based on LSTMs and Autoencoders to estimate the RUL of li-ion batteries. Compared to what has been proposed so far in the literature, we employ measures to ensure the applicability of the method also in the real deployed application. Such measures include (1) avoid using non-measurable variables as input, (2) employ appropriate datasets with wide variability and different conditions, (3) do not use cycles to define the RUL.

South Korean scientists have developed a flexible battery that bends and stretches like a snake, an innovation that could find application in advanced wearable devices and soft robots used in disaster management. Engineers from the Korea Institute of Machinery and Materials (KIMM) said the battery's structure draws inspiration from snake scales, which while rigid, can fold together to protect against external impact, and also possess traits that allow them to be highly stretchable and move flexibly. The stretchable device, described in the journal Soft Robotics, enables flexible movement by connecting several small, hard batteries in a scale-like structure. It consists of small, hexagonal battery cells resembling a snake scale which are connected together using a hinge mechanism made of a polymer and copper material to fold and unfold. "This study proposes a novel structure with individual, overlapping units, similar to snake scales that can be used to construct shape-morphing batteries for untethered soft robots," the scientists wrote in the study.

The latest iteration of Amazon's battery-powered Ring doorbell adds a new feature to capture the early details of events most competitors would miss without needing to be plugged in. It tops Ring's battery-powered range, which starts at £89. The look and basic function of the Doorbell 4 is very similar to Ring's older models. It has a camera with night vision, motion sensors and a large doorbell button. When someone pushes the button Ring's signature chime plays and an alert is sent to your phone. You can view a live feed and speak through the doorbell using the app from anywhere with internet.

This paper investigates an unmanned aerial vehicle (UAV)-assisted wireless powered mobile-edge computing (MEC) system, where the UAV powers the mobile terminals by wireless power transfer (WPT) and provides computation service for them. We aim to maximize the computation rate of terminals while ensuring fairness among them. Considering the random trajectories of mobile terminals, we propose a soft actor-critic (SAC)-based UAV trajectory planning and resource allocation (SAC-TR) algorithm, which combines off-policy and maximum entropy reinforcement learning to promote the convergence of the algorithm. We design the reward as a heterogeneous function of computation rate, fairness, and reaching of destination. Simulation results show that SAC-TR can quickly adapt to varying network environments and outperform representative benchmarks in a variety of situations.

For years, SimpliSafe's only option for outdoor video monitoring (other than the Video Doorbell Pro) was its indoor-only SimpliCam wrapped in a weatherproof rubber sleeve. Now, the company is finally offering a proper, battery-powered outdoor cam, complete with a weatherized shell, a spotlight, and people detection. Available now for $170, the SimpliSafe Wireless Outdoor Security Camera is a svelte, cylindrical camera with a swiveling magnetic base, Wi-Fi connectivity, Alexa and Google Assistant support, and a rechargeable, replaceable battery that promises to deliver between 3 and 6 months of battery life on a single charge. Equipped with two antennas, the new SimpliFi outdoor cam is capable of connecting to 2.4GHz Wi-Fi networks, but it won't work without a SimpliSafe base station. To get a base station, you'll need to purchase one of SimpliSafe's alarm systems, which start at $230 for a four-piece kit.

With this completely new and battery-powered iteration of the Nest Cam, Google's smart home division continues to raise the bar when it comes to security cameras, setting a standard for usability (especially during setup) that most other device manufacturers can only dream of. From a hardware perspective, the Nest Cam is a radical refresh of the old teardrop-shaped Nest Cam Indoor, designed with a tough, plastic, cup-shaped housing that adheres magnetically to its surface-mountable base (it looks very similar to the now-discontinued Nest Cam IQ). It's reasonably weather resistant, carrying an IP54 rating (meaning its enclosure will keep out enough dust to prevent failure and that it's protected from water sprayed from a pressure washer at a reasonable distance), so it can be used indoors or outdoors. The 2021 version of the Nest Cam carries an IP rating of 54, meaning its enclosure will keep out enough dust to prevent failure and that it's protected from water sprayed from a pressure washer at a reasonable distance. The new Nest Cam can run on battery power, and Google says it should deliver between 1.5 and seven months of run time before it needs to be recharged, depending on usage.

It's been three years since Google launched the Nest Hello, a wired video doorbell with facial recognition that helped set the standard for smart doorbells. In that time, many competitors have appeared, but few have come close to the quality and reliability of that device. The Nest Doorbell (battery) is a Google-made video doorbell that can run on battery power (it can also operate on wired power, if you have that infrastructure and wish to connect it to your existing doorbell chime). In our tests the device performed excellently, didn't give any problems, and proved itself to be a worthy sister device to the original Nest Hello. A large, round black circle with a camera in its center is at the top of the new Nest doorbell. A small LED below that indicates when the camera is recording or processing video.