TheFunkMachine
seeds have the potential to become trees.
What happened to 4DS? Chart looks
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
robsmark
Regular
Their memory failed testing I believe.What happened to 4DS? Chart looks
Proga
Regular
WOW. This is big news. BRN becoming recognized globally by being included in 2 global indexes. Fund managers create ETF's both internal and listed based on these indexes. The more indexes BRN is included in, the more shares need to be bought to be included in the managed funds by the instos the fund managers belong to.
Never fully appreciated what a hit BRN is in Germany. The MB blurb about BRN being used in the EQXX really struck a cord.
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Proga
Regular
read my post directly above yours. I added to it explaining it. Should have included it the first time. My bad
In a nutshell, more insto buying
equanimous
Norse clairvoyant shapeshifter goddess
Ubiquitous
Boab
I wish I could paint like Vincent
I think this is another example of PvdM's and the teams generosity. There is no mention of any fee's or one off payments. It appears to be a big effort has been put in to help educate with the latest technology. I can see PvdM or Anil giving up their time to give the odd lecture?
So happy to have a small holding in this Co.
equanimous
Norse clairvoyant shapeshifter goddess
Can also be used to head hunt future talent and employee them.
Okeydokey01
Regular
I agree. Generous and strategic. Win - Win
Proga
Regular
I owned PME which I sold last year when the PE got to hot. They're into medical imaging software and services to hospitals. They have been doing the same thing for a few years now in the US. The reason is commercial. By providing their software to train medical students on in the universities, when they all start working in hospitals across the nation, they're used to PME's software so the hospitals will start buying/using it. Hopefully some will comment, hey PME's imaging software is better than what you're using.
So it's a good way for BRN to expand the ecosystem. Hey, did you know Akida does this a lot better and I'm trained in using it.
GStocks123
Regular
Could Huawei be the Comms company Sean was talking about!?!? 
Check out this job at Huawei Technologies Research & Development (UK) Ltd:
https://www.linkedin.com/jobs/view/3218207556
Check out this job at Huawei Technologies Research & Development (UK) Ltd:
https://www.linkedin.com/jobs/view/3218207556
Boab
I wish I could paint like Vincent
Thats wonderful but i like to think one of the students that gets exposed to AKIDA will think of a way to use it that no one else has.
Also the headhunting that was previously mentioned.
jtardif999
Regular
I was 60% down on a stock once.. the stock was called BRN and now I’m up 1100%, patience and some faith in those that steer the ship doesn’t go astray. AIMO.
I was reading this one early morning then had to run to work. Was going post if we are involved in this one. thanksWasn’t the ZMOD4410 one that’s was suspected to have akida in it?
Do You Use Ultra-Low Power Sensors to Extend Battery Life?
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Reducing power consumption in battery-powered devices
Many devices in IoT-based systems are designed with a small form factor and are battery powered. Battery replacement in a commercial infrastructure usually involves the dismantling and refitting of electronic components, including the sensors that form the backbone of Internet of Things (IoT) technology. Such efforts consume a substantial amount of time and manpower, as a commercial building network may contain thousands of these devices. This makes energy-efficient, battery-powered, portable sensors and actuators the most acceptable solution for retrofitting operations. Increasing the battery life of these sensors improves system reliability by reducing the downtime caused by a single node running out of battery. This article discusses the energy consumption challenges that IoT devices face and possible solutions, including the use of ultra-low power sensors.
Energy usage in wireless sensors
With the rise of IoT, embedded designers are more than ever focusing their attention and efforts on system energy usage. One example of a purpose-built product in this regard is a battery-powered wireless sensor node. The operation of a wireless sensor comprises a series of events, with each event requiring a certain amount of power. These events include:
These activities are responsible for high battery power consumption and discharge. Figure 1 illustrates current consumption in a battery-powered wireless sensor during its three main states: active, idle, and sleep.
- Waking up, measuring the relevant parameters, and processing the data into messages
- Powering up the radio frequency amplifier, transmitting the messages, and powering down the radio frequency power amplifier
Figure 1: Power consumption in battery-powered sensors during their three main states
Source: eenewsanalog.com
There are multiple techniques and design strategies designed to decrease power consumption and optimize power-saving performance: hardware or software energy optimization, network optimization, and energy harvesting.
Hardware Optimization
Design engineers can choose microcontroller units (MCUs) that are designed specifically for low-energy consumption. An MCU, however, isn’t the only potential energy hog in an IoT device. Opting for low-power sensors and nodes can also substantially reduce power consumption.
Network Optimization
Choosing a connectivity solution for any IoT device depends heavily on the application’s chosen components, the performance of the connected objects, and their energy consumption. IoT applications with low power requirements can make use of Low Power Wide Area Network (LPWAN) for long-distance connectivity, while battery-powered IoT devices can use Bluetooth Low Energy (BLE) for short to-medium communication ranges. The distance between two nodes, system topology, data rate, and the message size are all factors that influence the transmission time, which in turn impacts power consumption.
Optimizing software for low power consumption
Programming the device to run in low power modes, rather than active modes, will make a significant difference in conserving battery power. New developments in low power management have introduced a wide range of ultra-low-power sleep modes. Whereas previous devices have only differentiated between run and idle modes, current devices feature more levels of granularity, including standby, doze, sleep, and deep sleep. Applications are programmed to spend as little time as possible in the MCU’s active mode. This might mean simplifying calculations, batching operations, or transitioning to an asynchronous and interrupt-driven design.
Applications
Weather Station Solution
Figure 2: IoT-based Indoor Air Quality measurement
Source: Renesas
This weather station solution supports smart home and agriculture systems where an indoor controller unit aggregates weather data (temperature, humidity, and CO2concentration). The weather data is measured by an outdoor unit that is solar powered and features an ultra-low-power MCU. The indoor and outdoor units are connected via BLE, and captured data is communicated to the Cloud via Wi-Fi. Renesas’ ZMOD Digital Gas Sensor family uses embedded artificial intelligence (AI) technology and leverages different Operating Modes, which use time, temperature, and gas signatures that enable unique signals from a highly trained machine learning (ML) system. The outdoor unit is controlled by an ultra-low power RE01 MCU. The indoor unit is controlled by an RX-based 32-bit MCU with added security features that make it suitable for cloud communication.
IoT Cold Chain Monitoring
Figure 3: IoT-based Cold Chain Monitoring
Many industries, including agriculture, pharmaceuticals, and logistics require refrigerated storage for their products and ingredients. An IoT-based cold chain monitoring solution allows temperature and humidity to be measured from a remote location, with alerts set up for temperature changes and anomalies, preventing waste and spoilage as ingredients move through the supply chain. The system is controlled by a Renesas RA4W1 32-bit MCU, using Bluetooth LE 5.0 for wireless communications. Sensors include the ZMOD4410 indoor air quality sensor and the HS3001 temperature and humidity sensor.
Low-power sensors from Renesas
ZMOD4410 Indoor Air Quality Sensor
Buy Now
The ZMOD4410 gas sensor module is designed to detect total volatile organic compounds (TVOCs), estimate CO2, and monitor indoor air quality. The sensor communicates via its built-in I2C interface. To reduce power, gas sensors can be operated in various modes, such as continuous temperature operation or duty cycling. The ZMOD4410 Indoor Air Quality Sensor offers two power modes: Continuous and Low Power. When “Continuous” is selected, the measurement is performed continuously. When “Low Power” is selected, measurements are taken in intervals of 5475 ms. The average power consumption in Low Power mode is 0.16mW.
ZMOD4510 Outdoor Air Quality Platform
Buy Now
The ZMOD4510 Outdoor Air Quality (OAQ) Platform is a gas sensor system that can be used in a variety of indoor and outdoor applications. The ZMOD4510 uses machine learning and traditional methods to determine Air Quality Index (AQI), which is based on concentrations of gases in the atmosphere, including nitrogen dioxide (NO). The ZMOD4510 currently has two released operation modes.
Table 1: Air Quality Index Levels Described by the EPA
Air Quality Index (AQI) Level of Concern and Air Quality Condition O3Concentration 1h average [ppb][a] O3Concentration 8h average [ppb] NO2Concentration 1h average [ppb] Color Code 0 to 50 Good 0 to 62 0 to 54 0 to 53 Green 51 to 100 Moderate 63 to 124 55 to 70 54 to 100 Yellow 101 to 150 Unhealthy for Sensitive Groups 125 to 164 71 to 85 101 to 360 Orange 151 to 200 Unhealthy 165 to 204 86 to 105 361 to 649 Red 201 to 300 Very Unhealthy 205 to 404 106 to 200 650 to 1249 Purple 301 to 500 Hazardous 405 to 604 - 1250 to 2049 Maroon
Operation Mode 1 allows a general measurement of Air Quality (AQ), including the non-selective measurement of NO2 and O3. The AQI is determined based on the classifications by the EPA (Environmental Protection Agency) for O3 and NO2 levels (Table 1).
Operation Mode 2 allows the selective measurement of O3 with a fast sample rate of two seconds. With an average consumption of 0.2mW, power consumption is minimal. The second-generation OAQ algorithm is specifically designed to detect ozone, and the cross-sensitivity response to NO2 is reported as less than 25 AQI, even at NO2 levels up to 200ppb.
Table 2: Gas Sensor Module Specifications during Operation
Symbol Parameter Conditions Min Typical Max Unit Average Power: OAQ 1st Gen Outdoor Air Quality ---- 21 ---- mW Average Power: OAQ 2nd Gen Selective ozone with ultra-low power ---- 0.2 ---- mW IACTIVE Supply Current, Active Mode including Heater Current for OAQ 1st Gen At VDD = 1.8 V ---- 11 13 mA At VDD = 3.3 V ---- 08 10 mA IACTIVE Supply Current, Active Mode including Heater Current for OAQ 2nd Gen At VDD = 1.8 V ---- 10 12 mA At VDD = 3.3 V ---- 6 8 mA ISLEEP Current during measurement delays Sleep Mode ASIC ---- 450 ---- mA
HS3001 Humidity and Temperature Sensor
Buy Now
Renesas’ HS3001 sensor is a MEMS-based relative humidity and temperature sensor. It features fast measurement response time (typically 6 seconds) with high accuracy. The HS300x is factory-programmed to operate in Sleep Mode. In Sleep Mode, the sensor waits for commands from the controller before taking any measurements. The digital core only performs conversions when it receives a measurement request command (MR); otherwise, it remains powered down. It consumes a minimal amount of power: an average of 1.0µA with one RH+T measurement per second, 8-bit resolution, and a 1.8V supply. Its low power consumption, along with its small form factor (3.0 x 2.4 x 0.8 mm), make it well suited for use in portable, battery-operated devices.
Sensors
Shop our wide variety of Sensors by Renesas.
Shop Now
Don't forget to take our poll.
Summing up: Low power sensors for IoT
Power consumption plays an important role in IoT devices and nearly all embedded devices. Choosing components capable of running at reduced power, including MCUs, power sources, communication protocols, and sensors, diminishes power consumption concerns. Sensors are the primary element of any IoT-based system and should ideally consume minimal power without compromising their static and dynamic characteristics. Renesas offers a variety of sensors that are designed for use in IoT systems and feature low power operation modes that greatly extend the life of battery-powered devices.
Fullmoonfever
Top 20
Who knows but interesting the SNN and mixed signal neuromorphic.Could Huawei be the Comms company Sean was talking about!?!?
Check out this job at Huawei Technologies Research & Development (UK) Ltd:
https://www.linkedin.com/jobs/view/3218207556
Some previous posts below on Huawei, HiSilicon (a subsidiary), Da Vinci architecture, eX3 etc.
Is the mixing of Akida conceivable
Thread 'HUAWEI TAISHAN 200 SERVER / KUNPENG 920 PROCESSOR USING AKIDA' https://thestockexchange.com.au/thr...rver-kunpeng-920-processor-using-akida.29899/
Post in thread 'HUAWEI TAISHAN 200 SERVER / KUNPENG 920 PROCESSOR USING AKIDA' https://thestockexchange.com.au/thr...ng-920-processor-using-akida.29899/post-48789
Post in thread 'BRN Discussion 2022' https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-92563
Post in thread 'BRN Discussion 2022' https://thestockexchange.com.au/threads/brn-discussion-2022.1/post-92693
Food4 thought
Regular
This is why everyone is confused with all these connections
Is it black or white or grey
Is it a solid connection or just a well he used him so there for I will too just because I know you and I know that you know him too
Stable Genius
Regular
This article is from Renesas about security of iot. A small percent of these figures will do.
equanimous
Norse clairvoyant shapeshifter goddess
migt want to add to renesas category aswell
Terroni2105
Founding Member
In BrainChip’s news release announcing their University AI Accelerator Program they state that The Program successfully completed a pilot session at Carnegie Mellon University (CMU) this past spring semester and will be officially launching with Arizona State University in September … with a further 5 expected to participate.
I had never heard of Carnegie Mellon University so I took to google as any fine researcher does these days and I’ve come away very impressed.
CMU is a private research university.
If you search for top colleges / schools / universities for teaching computer science, Carnegie Mellon University repeatedly appears in the top 3 in America.
… the college is perhaps best known for its School of Computer Science. CMU is currently tied for second place on the US News and World Report’s ranked list of top schools for computer science in the country.
More specifically, the college’s programs for artificial intelligence and programming language are known as the very best in the country…
CMU is also known for its engineering program, which is currently tied for fourth in the national college rankings.
Best Artificial Intelligence Programs Being taught? Yep, CMU.
https://www.usnews.com/best-graduate-schools/top-science-schools/artificial-intelligence-rankings
But it doesn’t stop in the US! Additionally CMU ranks as 6th in the world for computer science according to https://www.timeshighereducation.com/world-university-rankings/2022/subject-ranking/computer-science
Pretty impressive work by BrainChip to hook up with Carnegie Mellon University.
I look forward to some recognition of BrainChip’s engagement in their computing school on the CMU website in the, hopefully near, future.
I had never heard of Carnegie Mellon University so I took to google as any fine researcher does these days and I’ve come away very impressed.
CMU is a private research university.
If you search for top colleges / schools / universities for teaching computer science, Carnegie Mellon University repeatedly appears in the top 3 in America.
… the college is perhaps best known for its School of Computer Science. CMU is currently tied for second place on the US News and World Report’s ranked list of top schools for computer science in the country.
More specifically, the college’s programs for artificial intelligence and programming language are known as the very best in the country…
CMU is also known for its engineering program, which is currently tied for fourth in the national college rankings.
Best Artificial Intelligence Programs Being taught? Yep, CMU.
https://www.usnews.com/best-graduate-schools/top-science-schools/artificial-intelligence-rankings
But it doesn’t stop in the US! Additionally CMU ranks as 6th in the world for computer science according to https://www.timeshighereducation.com/world-university-rankings/2022/subject-ranking/computer-science
Pretty impressive work by BrainChip to hook up with Carnegie Mellon University.
I look forward to some recognition of BrainChip’s engagement in their computing school on the CMU website in the, hopefully near, future.
Sirod69
bavarian girl ;-)
Securities Finance July Snapshot 2022
- July was the highest revenue generating month of 2022
- The US hard to borrow equity market pushes revenues higher
- Fixed income continues to see strong demand
- Corporate bonds are in for an impressive 2022
Revenues in Asian equities were down 8% YoY to $165m. Average balances and average fees also saw a decline. Australia was the standout market in Asia with revenues increasing 74% YoY and 8% MoM. Three stocks in Australia generated over 30% of the market's returns alone (Brainchip Holdings Ltd, Core Lithium Ltd and Lake Resources Nl). Taiwan continued to be the highest revenue generating market in the region, accounting for circa 30% of all Asian equity revenues for the month. Average fees increased 8% YoY to 2.74% which is the highest level seen this year. The value of average on loan balances were down 12% YoY, which is a net positive when compared to the 21% decrease in the value of the TWSE 50 over the same period. South Korea experienced a slight increase in revenues when compared to June (+7%) even though they declined 24% YoY. Average balances were also down YoY along with average fees. Despite this, the highest generated equity within Asia during July was Korean, Lg Energy Solution Ltd (BNSP8W5), which generated over $5.8m USD over the month. Given the recent decision by the FSC to tighten the oversight of short selling activity in the country balances and fees are subject to uncertainty going into the second half of 2022 in this market.
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