Новини світу мікро- та наноелектроніки
Strategies for Overcoming Poor Habits Related to Home Electrical Appliances
Electrical appliances are now an essential component of daily living in modern households. We rely on this technology to render our lives easier and more comfortable, from refrigerators to washing machines. However, our reliance on these gadgets can sometimes lead to bad habits that harm our performance and longevity.
Read the User GuideReading the user manual that comes with the appliance is one of the easiest and most effective tactics for utilising your home electrical appliances successfully. The manual offers useful information on how to properly operate the appliance, maintain it, and repair frequent problems. You can avoid damaging the appliance or compromising its function by reading the handbook.
Prevent Appliance OverloadingOverloading household electrical appliances is another prevalent bad habit. For example, overcrowding your refrigerator might block airflow, causing the appliance to work more than it should. Overloading your washing machine, on the other hand, can cause excessive wear and tear on the engine and other components, resulting in malfunctions and costly repairs. To avoid these problems, make sure to follow the manufacturer’s load capacity recommendations.
Clean the Appliances on a Regular BasisIt is critical to keep your household electrical appliances clean in order to preserve their performance and extend their lives. Dirt, dust, and grime can build up on the surfaces and components of the appliances, leading them to perform inefficiently and finally fail. To keep your appliances in good condition, clean them on a regular basis according to the manufacturer’s instructions.
Utilise the Appliances ProperlyThe appropriate use of your household electrical equipment is critical for its performance and lifetime. Using improper detergent in your washing machine, for example, might harm the drum and other elements, resulting in pricey repairs. Likewise, using the incorrect sort of cookware on your stove or oven can result in scratches, dents and other damage.
Unplug all of the AppliancesWhen it is not in use When your home’s electrical appliances are not in use, leaving them plugged in is both inefficient and sometimes dangerous. Appliances can drain power from the socket even while switched off, which is referred to as standby power. Standby power can add up to a large amount of electricity over time, resulting in increased energy bills. Furthermore, leaving plugged-in appliances may boost the possibility of fires caused by electricity, specifically if the gadget is broken or defective.
Maintaining your home’s electrical equipment on a regular basis is crucial to maintaining them in good operating order. Regular maintenance inspections with a competent technician can help spot potential faults before they become serious concerns, minimising the likelihood of breakdowns and expensive repairs. Regular maintenance can also improve the performance of your appliances, allowing them to run more efficiently and consume less energy.
Purchase Energy-Efficient AppliancesInvestment in appliances that are energy-efficient is one of the most effective ways to reduce the cost of energy and reduce your carbon footprint. Energy-efficient appliances use less energy than traditional appliances, which makes them environmentally conscious and cost-effective over time. When shopping for appliances, search for products with the ENERGY STAR certification, which signifies that they meet or exceed the U.S. Environmental Protection Agency’s energy efficiency criteria.
Learning to handle common electrical appliance problems could save you both cash and time. For example, if your refrigerator is not properly chilling, you may be able to resolve the problem by washing the coils on the condenser or replacing the door gasket. In a comparable manner, if the washing machine is making unusual noises, it may be necessary to balance the load or repair worn-out bearings. You may avoid calling a professional for simple difficulties and save money on repairs by learning to identify and resolve common problems.
Surge Protectors Should be UsedPower surges can cause electrical appliances in your home to fail, particularly after cyclones or other severe weather. Purchasing a surge protector will protect devices from spikes in voltage and save you money. Surge protectors protect your electrical devices and other equipment by diverting excess electricity to the ground.
Avoid Overheating Your AppliancesOverheating can harm and impair the life of your home’s electrical appliances. Operating the cooling system at maximum efficiency for extended periods of time, for example, can cause the motor to overheat, resulting in breakdowns and repairs. Similarly, leaving your oven or stove on for an extended period of time can harm the heating elements and other components, necessitating costly replacements. Use your appliances sparingly and according to the manufacturer’s temperature and usage recommendations.
The post Strategies for Overcoming Poor Habits Related to Home Electrical Appliances appeared first on Electronics Lovers ~ Technology We Love.
Attention vintage equipment restorers. ChatGPT is NOT your friend!
 | submitted by /u/Linker3000 [link] [comments] |
Analyzing a Negative Voltage Charge Pump in LTspice—Source and Load Resistance
Weekly discussion, complaint, and rant thread
Open to anything, including discussions, complaints, and rants.
Sub rules do not apply, so don't bother reporting incivility, off-topic, or spam.
Reddit-wide rules do apply.
To see the newest posts, sort the comments by "new" (instead of "best" or "top").
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Review on Russian led bulb Onlite.
 | Today I will disassemble an Onlite LED lamp of the budget segment for 99 rubles. The manufacturer claims 12 watts of power, let's check! At the input of 220 Volts and the first time I turn on, I see that the real power is 8.9 watts. Yeah, it's not very similar to 12 watts, but anyway, I'll try at 230 Volts. It got even worse — 8.7 watts. I leave the lamp to work for 15 minutes and measure the power again — 8.3 W. Yes, although I did not expect the power to match for a budget lamp, but it's a shame every time. Now it's time to measure the real characteristics of the light quality of this lamp. Let's start with the color temperature — I got it equal to 3880 K, and the color rendering index turned out to be 79.3. Using the data on the deviation of radiation from this lamp from the arc of a completely black body, I find the color offset for this lamp. It turns out that the lamp has a green-yellow tint, but it is negligible, not to be noticed by the eye. Now the lamp pulsates. Everything is fine! There are no pulsations that could harm health. I measure the amount of light from a light bulb. The lamp is located 1 meter above the plane of the table, I turn off the external backlight. At 220 Volts, I observe 235 Lux. 250 Volts — 235 Lux, 170 Volts — 235 Lux. And only at 45 Volts the lamp stops shining! A very curious result. This lamp can be quite recommended to those who are looking for stable light. The operation of the illuminated switch is normal, there are no problems. The dimensions of the lamp correspond to those indicated by the manufacturer 108 x 60mm. The heating of the lamp bulb is 77 degrees Celsius, and the housing is 38.2. Let's remove the illumination diagram from the light bulb Online. My luminous flux came out equal to 703 Lumens, while the manufacturer indicated 1000. There are 8 LEDs connected in series under the bulb. The entire element base of the driver is heated on the same board as the LED housings. Let's measure the temperature of the hottest point of the board using a thermocouple. After 30 minutes of warming up, it turns out that the temperature of the diode board is 82 degrees Celsius. Under the phosphors, three crystals of LEDs are guessed. The direct voltage drop on the normally glowing LED housing is 9 Volts. The current in the LED power supply circuit is 107 mA. Cooling is pretty standard — the case is composite and careless coating with sealant. That's it. And as much as I would not like to advise this lamp due to its resistance to voltage changes and pretty good light characteristics, but the deception in power does not allow me to do this, so there is no need to buy an online lamp for 12 watts. More info on Russian is here https://domorost.ru/post/obzor-lampi-onlait-15-vt-s-tsokolem-ye27_645c883aa8d3e1bd4febd35a (hope u have got translation addon on ur brouser) [link] [comments] |
A Primer on Power and EM Side-channel Attack Countermeasures and Prevention
Upping Its Automotive Game, Qualcomm to Buy Israeli Chipmaker Autotalks
The 2023 Google I/O: It’s all about AI, don’t cha know
As longstanding readers may already recall, I regularly cover the yearly Apple Worldwide Developers Conference, with the 2023 version scheduled for next month, June 5-9 to be exact. Stay tuned for this year’s iteration of my ongoing event analysis! Beginning this year, EDN is also kicking off a planned yearly coverage cadence from yours truly for Google’s developer conference, called Google I/O (or is it parent company Alphabet’s? I’ll use the more recognizable “Google” lingo going forward in this writeup). Why, might you ask? Well:
- Google’s Linux-derived Android and ChromeOS operating systems are best known for their implementations, respectively, in the company’s and partners’ smartphones and tablets, and in netbooks (i.e., Chromebooks) and nettops (Chromeboxes). But the OSs’ open-source foundations also render them applicable elsewhere. This aspiration is also the case for the Linux-abandoning but still open-source Fuschia O/S sibling (successor?).
- Although Google’s been developing coprocessor ICs ever since the Pixel 2 smartphone generation’s Visual Core, with added neural network processing capabilities in the Pixel 4’s Neural Core, the company significantly upped its game beginning with the Pixel 6 generation with full-featured Tensor SoCs, supplanting the application processors from Qualcomm used in prior Pixel phone generations. And beginning in 2016, Google has also developed and productized multiple generations of Tensor Processing Units (TPUs) useful in accelerating deep learning inference and (later also) training functions, initially for the “cloud” and more recently expanding to network edge nodes.
- Speaking of deep learning and other AI operations, they unsurprisingly were a regularly repeated topic at Wednesday morning’s keynote and, more generally, throughout the multi-day event. Google has long internally developed various AI technologies and products based on them—the company invented the transformer (the “T” in “GPT”) deep learning model technique now commonly used in natural language processing, for example—but productizing those research projects gained further “code red” urgency when Microsoft, in investment partnership with OpenAI, added AI-based enhancements to its Bing search service, which competes with Google’s core business. AI promises, as I’ve written before, to revolutionize how applications and the functions they’re based on are developed, implemented and updated. So, Google’s ongoing work in this area should be of interest even if your company isn’t one of Google’s partner or customers.
AI everywhere
Let’s focus on that last bullet first in diving into the details of what the company rolled out this week. AI is a category rife with buzzwords and hype, which a planned future post by me will attempt to dissect and describe in more detail. For purposes of this piece, acting among other things as a preamble, I’ll try to keep things simple. The way I look at AI is by splitting up the entire process into four main steps:
- Input
- Analysis and identification
- Appropriate-response discernment, and
- Output
Take, for example, a partially-to-fully autonomous car in forward motion, in front of which another vehicle, a person or some other object has just seemingly appeared:
- Visible light image sensors, radar, LiDAR, IR and/or other sensing technologies detect the object’s presence and discern details such as its size, shape, distance, speed (and acceleration-or-deceleration trend) and path of travel.
- All of this “fused” sensor-generated data is passed on a processing subsystem, which determines what the object is including whether it’s a “false positive” (glare or dirt on a camera lens, for example, or fog or other environmental effects).
- That same or a subsequent processing subsystem further down the “chain” then determines what the appropriate response, if any, should be.
- Possible outputs of the analysis and response algorithms, beyond “nothing”, are actions such as automated takeover of acceleration, braking and steering to prevent a collision, and visual, audible, vibration and other alerts for the vehicle driver and other occupants.
Much media attention of late is focused on large language models (LLMs), whether text-only or audible in conjunction with speech-to-text (voice input) and text-to-speech (output) conversion steps. This attention is understandable, as language is an already-familiar means by which we interact with each other, and therefore is also a natural method of interacting with an AI system.
Note, however, that LLMs represent only steps 1 and 4 of my intentionally oversimplified process. While you can use them as a natural-language I/O scheme for a search engine, as Microsoft has done with OpenAI’s ChatGPT in Bing, or as Google is now beta-testing, you can also use an LLM input in combination with generative AI to create a synthesized still image, video clip, music track (such as MusicLM, which Google announced this week) or even code snippet (Google’s just-announced Codey and Studio Bot, for example), whose output paths include data files, displays and speakers.
This brief-but-spectacular discernment will, I hope, help you sort out the flurry of AI-based and enhanced technology and product announcements that Google made this week. One of the highlights was version 2 of PaLM (Pathways Language Model), the latest version of the company’s core LLM, which has seemingly superceded its BERT predecessor. When Microsoft announced its OpenAI partnership and ChatGPT-based products at the beginning of this year, it didn’t immediately reveal that they were already running on the latest GPT-4-based version of ChatGPT; OpenAI’s GPT-4 unveil came more than a month later.
Similarly, although Google announced its Bard AI-based chatbot back in early February, it waited until this week (in conjunction with revealing service enhancements and the end of the prior public-access waitlist) to reveal that Bard was PaLM 2-based. And like Microsoft, Google is adding LLM- and more general AI-based enhancements to its Workspace office suite, branding them as Duet. Bigger picture, there’s the Labs, where Google will going-forward be rolling out various AI-based “experiments” for the public to try before they “go gold” (or are eventually canned), including the aforementioned search enhancements.
A new mainstream smartphone
Roughly a half-year after launching each new high-end Pixel smartphone offering, Google unveils a more cost-effective and somewhat feature-reduced mainstream “a” derivative. The company’s followed this pattern ever since 2019’s Pixel 3a, and “a” Pixel phones have been my “daily drivers” ever since. The Pixel 7a is the latest-and-greatest, coming in at $500, roughly $100 lower-priced than the Pixel 7, and normally I’d be planning on transitioning to it once my Pixel 4a 5G times out and falls off the supported-device list later this year…but Ars Technica also makes compelling ongoing arguments for the Pixel 6a (which I also own and planned on using as a backup), which continues to be sold and whose price has been cut by $100 to $350. Now that Google’s using its own Tensor SoCs, as I mentioned earlier, the company promises security updates for five years, and the Pixel 6a was launched only a year ago. The biggest arguments in favor of the Pixel 7 line, ironically, are that its cellular radio subsystem is seemingly less buggy than with Pixel 6 precursors, and that its fingerprint-unlock scanning also seems more reliable.
A tablet revisit
I was quite enamored with my Google-branded, ASUS-developed and Android-based Nexus 7 tablet of a half-decade-plus back, and apparently I wasn’t the only one. Its multiple successors, including the ChromeOS-based Pixel Slate, didn’t replicate its success, but Google’s trying again to recapture its past glory with the new Pixel Tablet. It’s based on the same Tensor G2 SoC that powers the entire Pixel 7 line, including the just-introduced 7a mentioned previously in this piece, and Google curiously seems to be positioning it as (among other things) a successor to its Home (now Nest) Hub products, along with an optional $129.99 docking station (complete with speakers and charging capabilities). The screen size (11”) is heftier than I’d prefer bedside but spot-on elsewhere in the home. And at $500, it’s priced competitively with Apple iPad alternatives. If at first you don’t succeed, try, try again? We shall see if this time’s the charm.
Google’s reveal of its first foldable smartphone, the aptly named Pixel Fold, is bittersweet on a personal level. A bit more than a year ago, I told you about my experiences with Microsoft’s also-Android-based first-generation Surface Duo, for which initial reviews were quite abysmal but which improved greatly thanks to software evolutions:
Unfortunately, things returned to “bad” (if not “worse”) shortly thereafter. There have been no significant software-experience enhancements since the Android 12L update, only Android security patches in rough cadence with their releases by Google. To date, specifically, both Surface Duo generations have yet to receive otherwise-mainstream Android 13; ironically, this week Google rolled out the second public beta of Android 14. And even the security patches are increasingly getting delayed; March’s didn’t show up until month end, and April’s didn’t arrive until just a couple of days ago (May, mind you), after Google released the May security updates! The dual-screen Surface Duo 3 was reportedly canceled in January, and more generally, rumor has it that the team within Microsoft has been gutted and essentially disbanded.
With that as a backdrop, what do I think of a Samsung-reminiscent foldable with a $1,800 (starting) price tag? Google probably won’t sell many of them at that price, but the company has arguably got deep enough pockets that it doesn’t need to do so at least for this initial go-around. You had to know, after all, that when Google announced it was developing a widescreen variant of its showcase Android O/S, it wasn’t doing so just out of the goodness of its own heart for its licensees: it had product plans of its own. Specifics include the same Tensor G2 SoC as that found on the Pixel 7 smartphone line and the Pixel Tablet, a 7.6” (unfolded) 1840 x 2208-pixel OLED display, and 12 GBytes of system DRAM along with both 256 GByte and 512 GByte flash memory storage options. Microsoft’s Surface Duo misfires aside, I remain bullish on the foldable form factor (and remain amused that I am, given my historical fondness for small-screen smartphones), and once again I’m seemingly not alone.
But wait, there’s more
I’ve hit what I think are the highlights, but there’s plenty more that came out of Shoreline Amphitheater this week; Googlers themselves even came up with a list of 100 things they announced. I’ll briefly touch on just one more; the way-cool (IMHO) Project Starline hologram-based virtual conferencing booth system announced two years ago:
has now been significantly slimmed down and otherwise simplified:
With that, I’ll close here in order to avoid crossing the 2,000-word threshold which would undoubtedly ensure that my colleague and friend Aalyia would never speak to me again (just kidding…I think…). What else caught your eyes and ears at Google I/O this year? Let me know in the comments!
—Brian Dipert is the Editor-in-Chief of the Edge AI and Vision Alliance, and a Senior Analyst at BDTI and Editor-in-Chief of InsideDSP, the company’s online newsletter.
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The post The 2023 Google I/O: It’s all about AI, don’t cha know appeared first on EDN.
Man found dead at Digi-Key in Thief River Falls; murder investigation ongoing
 | submitted by /u/1Davide [link] [comments] |
HDR image sensors aim to make cars safer
Hyperlux image sensors from onsemi deliver a 150-dB high dynamic range (HDR) with LED flicker mitigation (LFM) across the full automotive temperature range. Targeting advanced driver assistance systems (ADAS), Hyperlux sensors are also expected to provide a smooth transition to Level 2+ driving automation, which requires the driver to only take over when alerted by the technology.
Hyperlux CMOS digital image sensors feature a 2.1-µm pixel size and serve both sensing and viewing camera applications. The first two devices in the Hyperlux family are the AR0823AT and AR0341AT. The AR0823AT is an 8.3-Mpixel, 1/1.8-in. sensor, while the AR0341AT is a 3-Mpixel sensor in a 1/3.6-in. format.
The simultaneous HDR and LFM capabilities of these devices enable them to capture high-quality images under extreme lighting conditions without sacrificing lowlight sensitivity. LFM also ensures that pulsed light sources do not appear to flicker, avoiding flicker-induced machine vision issues. Further, onsemi claims that the automotive image sensors consume up to 30% less power and occupy up to a 28% smaller footprint that competing devices.
The AR0823AT and AR0341AT are now sampling to early access customers. Learn more about Hyperlux technology here.
Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.
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5G module elevates AIoT terminal connectivity
Fibocom’s SC151 5G smart module enhances AI-based applications with premium 5G NR and Wi-Fi 6E connectivity and high-performance processing. The module is powered by a Qualcomm QCM4490 octa-core processor with a 3GPP Release 16-compliant 5G NR sub-6 GHz modem offering global carrier support.
The SC151 can be used in a wide range of 5G AIoT scenarios, including industrial handhelds, point-of-sale devices, body-worn cameras, and push to talk over cellular (PoC) systems. This smart module extends 5G connectivity by supporting downlink 4×4 MIMO, uplink 2×2 MIMO, and roaming under both 5G SA and NSA network architectures, allowing backward compatibility with 4G/3G bands. It also enables 2.4-GHz/5-GHz WLAN and Wi-Fi 6E communications, plus dual band simultaneous (DBS) operation to increase overall capacity and performance.
Along with a rich set of interfaces, the SC151 leverages multi-constellation GNSS to improve position accuracy in mobile scenarios and simplify product design. The module is equipped to run the Android 13 operating system and subsequent OS upgrades.
Engineering sample of the SC151 5G smart module will be available starting Q2 2023. A datasheet was not available at the time of this announcement.
Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.
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SiC gate driver extends EV driving range
A 20-A isolated gate driver from TI, the UCC5880-Q1, enables powertrain engineers to build more efficient traction inverters and maximize EV driving range. SPI programmability allows the device to drive nearly any SiC MOSFET or IGBT, while integrated monitoring and protection features reduce design complexity.
To improve system efficiency and increase the driving range of electric vehicles, designers can use the UCC5880-Q1 to vary the gate-drive strength in real time. This can be done in steps between 20 A and 5 A and can reduce SiC switching power losses by up to 2%. As a result, drivers get up to 7 more miles of range per battery charge, which is equivalent to over 1000 additional miles per year for someone who charges their vehicle three times per week.
On-chip diagnostics of the UCC5880-Q1 include built-in self-test (BIST) for protection comparators, gate threshold voltage measurement for power device health monitoring, and fault alarm and warning outputs. The part also packs an active Miller clamp and a 10-bit ADC for monitoring purposes.
The UCC5880-Q1 comes in a 10.5×7.5-mm, 32-pin SSOP. Preproduction quantities of the automotive-grade, ISO26262-compliant driver are available now, only on TI’s website, with prices starting at $5.90 in lots of 1000 units. A UCC5880-Q1 evaluation module is available for $249.
Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.
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Soft-switching controller SoCs allow remote updating
Pre-Flex soft-switching motor/inverter controller SoCs from Pre-Switch are now reprogrammable to permit updating products during development or in the field. These AI-based chips have also been outfitted with an embedded digital oscilloscope for transistor-level analysis.
Pre-Flex ICs contain all the AI algorithms required for soft switching across all operating voltages, load conditions, and temperatures. Adaptations are made on a cycle-by-cycle basis to minimize losses and maximize efficiency. Aimed at EVs and other e-mobility applications requiring high inverter efficiency levels across a wide load range, Pre-Switch technology achieves efficiency of 99.57% peak and 98.5% at 5% load—both measured at a switching frequency of 100 kHz. The result is an increased EV range of 5% to 12%.
The Pre-Flex IC’s embedded digital oscilloscope, Deep View, gives users 12 channels and a sample rate of 160 MSPS to analyze the timings of the switching. Traces can be recorded and exported out to analyze system performance. If there are any issues, Deep View enables developers and even remote program managers at Pre-Switch to understand why, so that actions can be taken.
“We are continually developing the AI and infrastructure that enables us to deploy true soft-switching and hence achieve such outstanding efficiency performance,” said Bruce Renouard, Pre-Switch CEO. “By incorporating a remote boot code on the chip, we can update the AI at any point in the EV or other product’s lifetime, ensuring that performance is always optimal.”
To enable engineers to employ Pre-Flex AI technology, Pre-Switch offers the CleanWave inverter reference system and the PDS-2 development system with Deep View.
Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.
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650-V SiC diodes boost efficiency
Fifth-generation GeneSiC silicon carbide diodes from Navitas boast low forward voltage and ‘low built-in voltage biasing’ (‘low knee’) for high efficiency across all loads. GExxMPS06x series diodes are intended for demanding data center, industrial motor-drive, solar, and consumer applications ranging from 300 W to 3000 W.
The merged-PiN Schottky (MPS) design of the GeneSiC devices combines the best features of both PiN and Schottky diode structures. This design produces a forward voltage drop of just 1.3 V, high surge current capability, and minimized temperature-independent switching losses. Proprietary thin-chip technology further reduces forward voltage and improves thermal dissipation for cooler operation.
According to Navitas, the GExxMPS06x series of MPS diodes provides forward current ratings from 4 A to 24 A. The devices will be available in low-profile surface-mount QFN packages for the first time. Additional packaging options include D2-PAK, TO-220, and TO-247. With a common-cathode configuration, the TO-247-3 package affords flexibility for high power density and bill-of-material reduction in interleaved PFC topologies.
GeneSiC parts are now available to qualified customers. Please contact sicsales@navitassemi.com for more information.
Find more datasheets on products like this one at Datasheets.com, searchable by category, part #, description, manufacturer, and more.
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NUBURU reports Q1 revenue of $0.47m
First Solar acquires Swedish perovskite PV firm Evolar
I built a Spicinator to make my 208V power 220V or 232V
 | It's just a regular buck boost transformer (literally just a 240V primary dual 12V secondary transformer rated to 750VA) in a chassis I built with a few switches to control output voltage and power, and a nice gauge and indicator light. Buck/boost in power distribution terms just means adding or subtracting the output of an isolated transformer to or from mains voltage. That way you can use a much smaller transformer. I think this terminology predates buck/boost being used in switch mode power supplies. [link] [comments] |
NAND-like ‘3D X-DRAM’ Aimed to Revolutionize the Memory Industry
Electronics Lab Bench Setup Guide
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Nexperia Reimagines Component Sourcing With Interactive Datasheets
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