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	<id>https://transcrire.histolab.fr/wiki/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=AdaFlorey5</id>
	<title>Transcrire-Wiki - Contributions de l’utilisateur [fr]</title>
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	<updated>2026-05-20T16:38:12Z</updated>
	<subtitle>Contributions de l’utilisateur</subtitle>
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	<entry>
		<id>https://transcrire.histolab.fr/wiki/index.php?title=US6762678B2_-_Scuba_Driver_Communication_And_Tracking_Device_-_Google_Patents&amp;diff=169719</id>
		<title>US6762678B2 - Scuba Driver Communication And Tracking Device - Google Patents</title>
		<link rel="alternate" type="text/html" href="https://transcrire.histolab.fr/wiki/index.php?title=US6762678B2_-_Scuba_Driver_Communication_And_Tracking_Device_-_Google_Patents&amp;diff=169719"/>
		<updated>2025-12-28T03:42:44Z</updated>

		<summary type="html">&lt;p&gt;AdaFlorey5 : &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br&amp;gt;Water sometimes doesn&amp;#039;t provide a uniform acoustic transmission medium because the speed of sound propagation and different sign transmission characteristics range with water temperature, salinity, and depth (or pressure) every of which can vary with dive location. Therefore, the transmission time between a transmitting unit and a receiving unit vary with the location of a dive (i.e., based on the water chemical makeup) and sometimes even with a planned depth for a dive. Such devices, programs, and strategies ideally could be adapted to be used in varying dive areas and below totally different water conditions and would be readily adapted for use with multiple divers and dive groups of varying abilities and experience. 5 toes for unskilled divers or for dangerous situations whereas a fifty-foot, hundred-foot, 2 hundred-foot, and infrequently increased security vary could also be set for skilled divers or comparatively protected diving conditions. An alert will be mechanically or manually transmitted to and from the dive grasp when the gap is exceeded.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;An alarm is activated when the distance situation is met by the found distance or when activated by a consumer. The gap is then found from the measured time. FIG. 1 is a block diagram typically illustrating the system of the current invention. FIG. 2 is a stream chart typically illustrating the strategy of the present invention. FIG. Three is a block diagram illustrating in additional element one embodiment of the means for discovering distance in FIG. 1 . FIG. Four is a movement chart illustrating in more detail the step of discovering distance in FIG. 2 . FIG. 5 is a block diagram illustrating in more element one embodiment of the means for discovering distance in FIG. 1 . FIG. 6 is a circulation chart illustrating in more element the step of discovering distance in FIG. 2 . FIG. 7 is a block diagram illustrating in additional element one embodiment of the means for discovering distance in FIG. 1 .&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;FIG. Eight is a circulation chart illustrating in more detail the step of discovering distance in FIG. 2 . FIG. 9 is a front view of a diver communication machine of the present invention illustrating a show surface exhibiting dive time, present separation distance settings, present message from dive companion or dive grasp, and communication frequency along with other features of the diver communication machine. FIG. 10 is a aspect view of the exterior of the diver communication device of FIG. 9 illustrating the battery compartment. FIG. 12 is one other functional block drawing just like FIGS. 11A and  [https://wikaiia.org/index.php/With_Features_Akin_To_Precision_Finding itag pro tracker] 11B illustrating the usage of a dive grasp communication device for concurrently monitoring divers in two individually speaking dive groups which might be diving utilizing different security distances. FIG. Thirteen is a front view of a dive master communication machine or grasp controller illustrating features just like the diver communication gadget of FIG. 9 and likewise illustrating options facilitating monitoring and communicating with multiple diver and dive groups.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Additionally, the diver communication system and  [https://8tm.net/itagpro-official-99336 itag pro tracker] method is beneficial for permitting multiple dive teams diving within a single dive area to communicate with one another with out causing communication problems. This dialogue contains an evidence of the usage of preset separation distances and the computerized transmission of alert indicators when the determined distance between two gadgets exceeds the preset separation distance for the 2 gadgets. An essential side of the invention is the combining of a number of features in a single diver communication gadget and how the distinctive mixture of these capabilities facilitates effective communication between diving companions and, significantly, between three or more divers inside a dive group (even when diving in proximity to other dive groups) and between a dive grasp and divers in a number of dive teams. FIG. 1 illustrates a system 2 for alerting when a first device four and a second machine 6 are separated by a preset distance. System 2 contains a method eight for discovering a distance 10 between first machine 4 and a second gadget 6 , a comparator 12 , and an alarm 14 .&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;System 2 may embrace numerous additions resembling a user input interface sixteen and a storage gadget 18 for storing a preset distance situation 20 or executable directions. First device 4 and second machine 6 may be of any form or design. System 2 might have a wide range of uses with every use having its own desired shape. 2 and second device 6 are conveniently embodied in a shape to be worn on a diver&amp;#039;s wrist or hooked up to the divers Buoyancy Control Device (BCD). Additionally, when used by divers, it may be fascinating for first gadget four and second machine 6 to incorporate conventional diving features such as a dive time indicator or different indicators useful for divers. Four and second gadget 6 are being described as separate devices. Four and second device 6 every embody all the parts of the other gadget. In that embodiment, every of two or more divers would be able to maintain track of the distance between them.&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>AdaFlorey5</name></author>
	</entry>
	<entry>
		<id>https://transcrire.histolab.fr/wiki/index.php?title=EdgeTAM:_On-Device_Track_Anything_Model&amp;diff=169329</id>
		<title>EdgeTAM: On-Device Track Anything Model</title>
		<link rel="alternate" type="text/html" href="https://transcrire.histolab.fr/wiki/index.php?title=EdgeTAM:_On-Device_Track_Anything_Model&amp;diff=169329"/>
		<updated>2025-12-27T19:46:43Z</updated>

		<summary type="html">&lt;p&gt;AdaFlorey5 : Page créée avec « &amp;lt;br&amp;gt;On prime of Segment Anything Model (SAM), SAM 2 further extends its functionality from image to video inputs by means of a memory financial institution mechanism a... »&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br&amp;gt;On prime of Segment Anything Model (SAM), SAM 2 further extends its functionality from image to video inputs by means of a memory financial institution mechanism and obtains a exceptional performance compared with earlier methods, making it a basis model for video segmentation job. In this paper, we intention at making SAM 2 far more environment friendly so that it even runs on cell units while sustaining a comparable performance. Despite several works optimizing SAM for higher effectivity, we discover they are not adequate for SAM 2 because they all concentrate on compressing the picture encoder, while our benchmark reveals that the newly launched reminiscence attention blocks are additionally the latency bottleneck. Given this commentary, we suggest EdgeTAM, which leverages a novel 2D Spatial Perceiver to cut back the computational value. In particular, the proposed 2D Spatial Perceiver encodes the densely stored body-stage recollections with a lightweight Transformer that contains a hard and fast set of learnable queries.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Provided that video segmentation is a dense prediction job, we discover preserving the spatial construction of the memories is important in order that the queries are split into global-level and patch-level groups. We additionally suggest a distillation pipeline that further improves the efficiency without inference overhead. DAVIS 2017, MOSE, SA-V val, and SA-V take a look at, whereas operating at 16 FPS on iPhone 15 Pro Max. SAM to handle each picture and video inputs, with a reminiscence financial institution mechanism, and is educated with a new massive-scale multi-grained video monitoring dataset (SA-V). Despite reaching an astonishing performance in comparison with earlier video object segmentation (VOS) models and allowing extra various user prompts, SAM 2, as a server-facet basis mannequin, will not be efficient for on-system inference. CPU and NPU. Throughout the paper, we interchangeably use iPhone and iPhone 15 Pro Max for simplicity.. SAM for higher effectivity solely consider squeezing its image encoder because the mask decoder is extremely lightweight. SAM 2. Specifically, SAM 2 encodes past frames with a memory encoder, and these frame-degree recollections together with object-level pointers (obtained from the mask decoder) serve as the memory financial institution.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;These are then fused with the options of present frame via reminiscence consideration blocks. As these reminiscences are densely encoded, this leads to an enormous matrix multiplication during the cross-attention between present body features and reminiscence features. Therefore, despite containing relatively fewer parameters than the picture encoder, the computational complexity of the reminiscence attention will not be reasonably priced for on-system inference. The speculation is further proved by Fig. 2,  [https://kurzurl.net/itagproitemfinder68470 iTagPro Item Finder] where lowering the number of reminiscence consideration blocks nearly linearly cuts down the overall decoding latency and within each memory attention block, eradicating the cross attention offers the most vital speed-up. To make such a video-based mostly monitoring model run on system, in EdgeTAM, we take a look at exploiting the redundancy in videos. To do this in apply, we suggest to compress the raw frame-level memories before performing reminiscence consideration. We begin with naïve spatial pooling and observe a significant performance degradation, especially when using low-capability backbones.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;However, naïvely incorporating a Perceiver also leads to a extreme drop in efficiency. We hypothesize that as a dense prediction process, the video segmentation requires preserving the spatial construction of the reminiscence bank, which a naïve Perceiver discards. Given these observations, we propose a novel lightweight module that compresses frame-level reminiscence feature maps while preserving the 2D spatial structure, named 2D Spatial Perceiver. Specifically, we split the learnable queries into two groups, the place one group functions equally to the original Perceiver, where every question performs world consideration on the input options and outputs a single vector as the body-stage summarization. In the opposite group, the queries have 2D priors, i.e., every query is barely chargeable for compressing a non-overlapping native patch, thus the output maintains the spatial construction whereas lowering the whole number of tokens. Along with the architecture improvement, we further propose a distillation pipeline that transfers the information of the powerful instructor SAM 2 to our student mannequin, which improves the accuracy without charge of inference overhead.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;We find that in each stages, aligning the options from image encoders of the unique SAM 2 and our efficient variant benefits the efficiency. Besides, we further align the feature output from the reminiscence consideration between the teacher SAM 2 and our student model within the second stage so that in addition to the image encoder, memory-associated modules may also obtain supervision alerts from the SAM 2 teacher. SA-V val and check by 1.3 and 3.3, respectively. Putting together, we propose EdgeTAM (Track Anything Model for Edge gadgets), that adopts a 2D Spatial Perceiver for effectivity and information distillation for accuracy. Through complete benchmark, we reveal that the latency bottleneck lies in the memory consideration module. Given the latency evaluation, we suggest a 2D Spatial Perceiver that considerably cuts down the reminiscence consideration computational value with comparable efficiency, which may be integrated with any SAM 2 variants. We experiment with a distillation pipeline that performs function-smart alignment with the unique SAM 2 in each the picture and  [https://oqorion.blognestro.xyz/e-scooter-handler-in-der-nahe/ iTagPro Brand] video segmentation levels and observe efficiency enhancements with none extra cost during inference.&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>AdaFlorey5</name></author>
	</entry>
	<entry>
		<id>https://transcrire.histolab.fr/wiki/index.php?title=Buyer_s_Guide_To_Sport_Velocity-Tracking_Devices_-_SimpliFaster&amp;diff=164078</id>
		<title>Buyer s Guide To Sport Velocity-Tracking Devices - SimpliFaster</title>
		<link rel="alternate" type="text/html" href="https://transcrire.histolab.fr/wiki/index.php?title=Buyer_s_Guide_To_Sport_Velocity-Tracking_Devices_-_SimpliFaster&amp;diff=164078"/>
		<updated>2025-12-23T10:15:12Z</updated>

		<summary type="html">&lt;p&gt;AdaFlorey5 : &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br&amp;gt;The power to measure the speed of an object, whether or not a projectile or human body, is a timeless want for sports activities performance coaches. In this guide, we evaluation all of the interior and external instruments that measure ball speed or body velocity, together with new systems and reliable choices from the past. The difference-and it’s a key one-is that timing gates and GPS aren&amp;#039;t instantaneous measures of velocity, and even some sensors and instruments are incomplete. We cowl how these applied sciences work, and what data they supply to the coach or sport scientist. The sport velocity-tracking market is rising, and we expect it to change into more person-pleasant for anyone involved in sport, at all levels. What Are Sport Velocity-Tracking Devices? While no exact definition exists, it’s secure to summarize a sport velocity-tracking device as an instrument able to measure the instantaneous speed of a body, be it a human or projectile akin to a ball.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Many programs exist that can collect estimations of velocity, but these systems are often for analysis and are usually not day-to-day coaching tools, comparable to movement capture know-how. Some sports that use equipment that creates projectile velocity, such as golf, racquetball, baseball, and hockey, rely on the interaction of movement and the way the pace transfers to the ball or puck. The majority of velocity-tracking tools are both radar or laser options, but there are a rising variety of newer inertial measurement unit (IMU) choices, resulting from their convenient dimension and economical price. All of the devices use a mix of expertise and math to calculate instantaneous velocity, or summarize speed with a measurement of peak velocity. Prior to now, most of the instruments displayed the info on an LCD display screen, but smart devices now enable us to see the data on tablets and telephones. Velocity is the primary metric measured by the units, but some of the solutions can seize how the velocity was created during a windup or loading interval.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Generally speaking, the methods are &amp;quot;speed detectors&amp;quot; and extract a maximal velocity from the physique in motion or file the velocity and change in speed in actual time. How Does Each Tracking Technology Work? The three measurement options-radar, laser, and IMU-signify the vast majority of all velocity-tracking gadgets,  [https://www.google.ga/url?q=https%3A%2F%2Fwww.breakingthenewsbarrier.org%2Fmediawiki%2Findex.php%2FITagPro_Brand_Details_And_Features iTagPro Tracker] with radar the commonest. IMU options are becoming more widespread, however they&amp;#039;re still limited in effectiveness in capturing ball velocity because of the spin of a rotating sphere in movement. It is very demanding to precisely acquire the speed of a projectile internally with IMUs, but as the sensor market and algorithm modeling evolves, so will the measurement quality. Radar and lasers work very similarly to one another, meaning the physics are very comparable. Sports radar tools use the Doppler effect to estimate pace from the item and distance away from the device. Lasers are very related, and accumulate almost the same information from sporting actions, simply often with more precision and extra data.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;For essentially the most half, radar techniques in sport are statically placed programs that measure a ball or athlete, they usually normally require a tripod or stable mounting option with nothing in entrance of them that may impair the signal they’re amassing. Wave info from the device points in the general path of the exercise, and the knowledge calculated from the interaction of the waves and object creates a measurement-often, peak speed. Lasers pattern continuously, thus offering an entire profile of the occasion or better summary of what occurred, especially with sprinting, because the motion lasts for a number of seconds relatively than a really quick time frame. IMU systems are slightly bit extra sophisticated, and require much more superior math than lasers and radar gadgets. The issue with IMUs is that they estimate the measurements with assumptions or implied info, such because the orientation or motion carried out. For instance, a swing of a baseball bat might have several different styles, however enough commonalities exist that the calculations have a basis to work from.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;Accelerometers only calculate web data, not precise velocity of movement. Modeling and  [https://azbongda.com/index.php/WSDA_%22hornet_Hunters iTagPro Tracker] gyros are wanted to assist tease out the true flight of the ball or sports activities gear. Solutions that measure wrist or arm velocity are indirect assessments of velocity, and pose issues for those needing correct performance knowledge moderately than just reliable data displaying developments of enchancment or decay of velocity. Other optical sensors exist, but the aerospace trade and similar use them, not generally the sports activities space. You should utilize conventional cameras, however for easy measures, timing gates for athletes and radar guns for balls are more logical due to their immediate suggestions advantages, simplicity, and (at instances) price. What Information Does a Sport Velocity-Tracking Device Provide? The first information collected by sports velocity-monitoring gadgets are merely peak velocity, change in velocity, and how the velocity was created. The commonest metric, peak velocity, is often requested with ball pace. Instantaneous pace and alter are common with working analysis solutions.&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>AdaFlorey5</name></author>
	</entry>
	<entry>
		<id>https://transcrire.histolab.fr/wiki/index.php?title=%22It%E2%80%99s_A_Backdoor_With_Phone_Functionality&amp;diff=163530</id>
		<title>&quot;It’s A Backdoor With Phone Functionality</title>
		<link rel="alternate" type="text/html" href="https://transcrire.histolab.fr/wiki/index.php?title=%22It%E2%80%99s_A_Backdoor_With_Phone_Functionality&amp;diff=163530"/>
		<updated>2025-12-22T21:17:17Z</updated>

		<summary type="html">&lt;p&gt;AdaFlorey5 : Page créée avec « &amp;lt;br&amp;gt;&amp;quot;It’s a backdoor with phone functionality,&amp;quot; quips Gabi Cirlig about his new Xiaomi cellphone. Cirlig is talking with Forbes after discovering that his Redmi Note... »&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&amp;lt;br&amp;gt;&amp;quot;It’s a backdoor with phone functionality,&amp;quot; quips Gabi Cirlig about his new Xiaomi cellphone. Cirlig is talking with Forbes after discovering that his Redmi Note eight smartphone was watching a lot of what he was doing on the telephone. That data was then being sent to distant servers hosted by another Chinese tech big, Alibaba, which have been ostensibly rented by Xiaomi. The seasoned cybersecurity researcher discovered a worrying quantity of his habits was being tracked, while various sorts of device knowledge have been additionally being harvested, leaving Cirlig spooked that his identity and his non-public life was being uncovered to the Chinese firm. When he seemed around the online on the device’s default Xiaomi browser, it recorded all of the web sites he visited, including search engine queries whether or not with Google or the privateness-focused DuckDuckGo, and every item viewed on a news feed characteristic of the Xiaomi software. That tracking appeared to be happening even when he used the supposedly non-public &amp;quot;incognito&amp;quot; mode. The gadget was additionally recording what folders he opened and to which screens he swiped, including the standing bar and the settings web page.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;All of the info was being packaged up and sent to distant servers in Singapore and Russia,  [https://mesujitempo.com/nasib-demokrasi-indonesia-di-tahun-2024-dan-pemilu-2024/ iTagPro Smart Tracker] although the net domains they hosted were registered in Beijing. Meanwhile, at Forbes’ request, cybersecurity researcher Andrew Tierney investigated further. He also found browsers shipped by Xiaomi on Google Play-Mi Browser Pro and the Mint Browser-were collecting the identical data. Together, they&amp;#039;ve more than 15 million downloads, in line with Google Play statistics. Many extra millions are likely to be affected by what Cirlig described as a serious privacy concern, though Xiaomi denied there was a problem. Valued at $50 billion, Xiaomi is one in every of the highest four smartphone makers on the planet by market share, behind Apple, Samsung and Huawei. Xiaomi’s huge promote is cheap units which have lots of the identical qualities as higher-end smartphones. But for patrons, that low value may come with a hefty value: their privateness. Cirlig thinks that the issues affect many extra models than the one he examined.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;He downloaded firmware for different Xiaomi telephones-including the Xiaomi MI 10, Xiaomi Redmi K20 and Xiaomi Mi Mix 3 units. He then confirmed that they had the identical browser code, leading him to suspect they&amp;#039;d the same privacy issues. And there appear to be issues with how Xiaomi is transferring the information to its servers. Though the Chinese firm claimed the info was being encrypted when transferred in an try to protect user privacy, Cirlig discovered he was in a position to rapidly see simply what was being taken from his device by decoding a chunk of information that was hidden with a form of simply crackable encoding, often called base64. It took Cirlig just a few seconds to change the garbled knowledge into readable chunks of knowledge. &amp;quot;My fundamental concern for privateness is that the info despatched to their servers can be very easily correlated with a selected person,&amp;quot; warned Cirlig.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;In response to the findings, Xiaomi said, &amp;quot;The analysis claims are unfaithful,&amp;quot; and &amp;quot;Privacy and security is of prime concern,&amp;quot; including that it &amp;quot;strictly follows and is totally compliant with native legal guidelines and laws on consumer knowledge privacy matters.&amp;quot; But a spokesperson confirmed it was amassing shopping information, claiming the knowledge was anonymized so wasn’t tied to any id. They mentioned that customers had consented to such tracking. But, as pointed out by Cirlig and Tierney, it wasn’t simply the website or Web search that was sent to the server. Xiaomi was additionally accumulating knowledge in regards to the phone, including unique numbers for identifying the specific machine and Android model. Xiaomi’s spokesperson also denied that browsing knowledge was being recorded under incognito mode. Both Cirlig and  [https://funsilo.date/wiki/Forklift_Tracking_-_SIERA.AI iTagPro Smart Tracker] Tierney, however, found of their unbiased exams that their web habits have been despatched off to remote servers regardless of what mode the browser was set to, providing each photos and videos as proof.&amp;lt;br&amp;gt;&lt;/div&gt;</summary>
		<author><name>AdaFlorey5</name></author>
	</entry>
	<entry>
		<id>https://transcrire.histolab.fr/wiki/index.php?title=Utilisateur:AdaFlorey5&amp;diff=163529</id>
		<title>Utilisateur:AdaFlorey5</title>
		<link rel="alternate" type="text/html" href="https://transcrire.histolab.fr/wiki/index.php?title=Utilisateur:AdaFlorey5&amp;diff=163529"/>
		<updated>2025-12-22T21:17:01Z</updated>

		<summary type="html">&lt;p&gt;AdaFlorey5 : Page créée avec « Hello, dear friend! I am Alejandro. I am satisfied that I can unify to the entire world. I live in France, in the CENTRE region. I dream to head to the various countri... »&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Hello, dear friend! I am Alejandro. I am satisfied that I can unify to the entire world. I live in France, in the CENTRE region. I dream to head to the various countries, to obtain familiarized with interesting individuals.&amp;lt;br&amp;gt;&amp;lt;br&amp;gt;My web blog :: [https://funsilo.date/wiki/Forklift_Tracking_-_SIERA.AI iTagPro Smart Tracker]&lt;/div&gt;</summary>
		<author><name>AdaFlorey5</name></author>
	</entry>
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