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  2. Cisco acquires Springpath

    On the same day as Cisco announced major upgrades to its Spark product, it also announced its intent to purchase Springpath to bolster its data centre business. This is all part of a general trend for the company to move toward more software services, bridging the gap into IoT. For an analysis by media read: https://channellife.com.au/story/cisco-acquire-hyperconverged-software-vendor-springpath-us320m-deal/
  3. Platforms

    Introduction We need a page that describes the huge range of "IoT platforms". What is a platform? What are the different classes of platforms? What is the general purpose of each? Perhaps links to a directory of providers in each class. e.g. Reekoh is a platform focused on integrating large business system like Salesforce, Microsoft, Oracle, etc. The aim is to provide enterprises with a way to create IoT services. They have a plug and play marketplace idea where as you log into their system, you literally buy the plug-ins that you need. Then, you start to connect services together so you could connect your assets within your building to your Salesforce platform etc
  4. IoT startups

    Introduction An IoT startup is a technically-lead small business that typically has yet to define its business model. Startups usually try several different routes to market prior to settling on an approach that has a good market fit. A key early goal for IoT startups is to identify the problem that is being solved by the use of IoT technology. The problem also has to be big enough for organisations to justify investing in a solution. Once a problem has been identified, the startup describes their hypothesis and identifies assumptions and risks. The next phase is to plan and test, building something simple to test the assumptions. Results are analysed and the hypothesis re-evaluated, and so on in a spiral fashion until a final business model is proven. The above process can be an emotional roller coaster, with many peaks and troughs. Peaks can be associated with initial excitement around an idea, seeing prototypes working, interest from a potential customer, obtaining funding etc. Troughs are associated with the realisation that its not as easy as first thought, mistakes, lost customer opportunities, cashflow crunches, realisation of a lack of skills, etc. Other challenges include decisions around quitting a day job etc. Individuals who launch or lead the establishment of new businesses are often described as entrepreneurs. Entrepreneurs need to have a certain amount of resilience to cope with the above challenges. They also need a lot of energy and self-motivation. There is a huge amount of literature around innovation generally and the Lean Startup methodology has found favour in recent times. This includes concepts such as minimum viable product to test ideas before committing further. A whole industry has grown up around support for technology led start ups. This include business accelerators/incubators and a range of investment companies ranging from seed/early stage angel groups, equity crowdfunding and late stage venture capital. These organisations often host several startups that share technical and business system resources. IoT specific challenges Startups in the IoT space is more challenging that other fields because it requires a combination of hardware, software and business models. Technical challenges that need to be addressed during business planning include consideration of the full range of technologies and practices outlined in this wiki. In addition, there are a number of national inhibitors/enablers of the entire IoT industry in Australia which really need to be addressed in order to foster more IoT Startups, illustrated below: Source: A report commissioned by the Communications Alliance Australia on Enabling the Internet of Things for Australia For example, it is currently difficult to deliver IoT led innovation in the healthcare sector due to the very high number of regulatory barriers that must be cleared. Similarly, the smart city concept is difficult to address due to the highly fragmented nature of efforts around this area. Links The following organisations are encouraging IoT Startups in Australia: The IoT Alliance Australia has a workstream on Startups and Innovation. The Australian government supports the IoT Ecosystem, e.g. Thinxtra obtained funding to roll out its Sigfox LPWAN network Sources: The information on this page was primarily sourced from the following: A webinar titled Your brilliant idea! Technology start-ups dissected by Stuart Waite, CEO, Timpani
  5. Thinxtra has obtained a $10 million in funding from the Australian government See http://www.cefc.com.au/media/files/energy-efficiency-benefits-as-cefc-helps-thinxtra-scale-up-its-network-for-the-internet-of-things.aspx and http://www.environment.gov.au/minister/frydenberg/media-releases/mr20170817a.html and https://www.thinxtra.com/2017/08/cornerstone_investor_cefc/ This has been reported as the government taking a 15% equity stake in the business.
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  7. Enterprise Resource Planning

    Introduction The internet of things can be a key enabler of improvements in enterprise resource planning (ERP). Enterprises that produce products of any sorts aspire to shorter product runs, more agility in implementing design changes, faster deliver to market, flexibility in packaging and distribution, better forecasting / supply chain management, improved product traceability and feedback from end users. However, despite decades of experience with ERP systems many organisations still take orders by emailed pdf which is entered manually into an enterprise resource planning system. The IoT and ERP IoT data of use in ERP systems is as varied as the context of application, but may relate to: Quantity Quality Machine status, faults and their causes.
  8. Intellectual Property

    Introduction A particular challenge that may affect the development and implementation of IoT systems in commercial settings is consideration of intellectual property rights. This is primarily the case in the case of new IoT enabled products being developed for market, particularly if exporting, but also for innovations in business or engineering processes enabled by the IoT that organisation are investing large amounts of money in. Intellectual property rights are typically protected by obtaining patents and often this is considered a prerequisite to obtain funding from venture capitalists and the like. Having a patent provides leverage in business negotiations and disputes, prevents others from copying your innovation, and can provide licencing revenues. A key reason to consider intellectual property rights is to have freedom to operate. Because IoT is new, many people and organisations world-wide are applying for patents. Organisations developing or implementing IoT system may inadvertently infringe the rights of others and huge upfront investments may be forfeited when challenged. This can be avoided by careful patent infringement searches prior to the investment phase. When patents of concern are discovered they can be carefully analysed by a patent attorney to determine if they do actually constrain your activity. If the patent does restrict your activity, it may be possible to work around the issue by obtaining a licence or coming to some other commercial arrangement. Obtaining patents in the computer technology space is difficult and many patents, when challenged, are found to be invalid. So if you receive a notice of patent infringement, a patent lawyer should be consulted to determine if the patent is valid before caving in to any unreasonable demands. Basics of IP A patentable an invention must be: New; and Not be obvious to someone with knowledge and experience in the subject Not disclosed by publication or otherwise Is useful No prior secret commercial use Just connecting a thing that has never been internet-enabled before is unlikely to be patentable. Rather, inventions need to be something that makes the IoT device work and is truly a new improvement in technology. Good IP Practices A key focus in any innovative work is to ensure you own the patent. Ownership of the invention originates with the inventor but under common law flows to the employer when the invention was made in the normal course of their duties to the employer. It's important to have this clarified when employing contractors to support the innovative work, particularly if this includes the provision of software and systems that involve the integration of systems from multiple suppliers. Non-disclosure agreements should be standard in any discussions with third parties. In practice IoT product developers need to make a decision whether to protect their work through secrecy or to apply for a patent. Secrecy is paramount in any case, during the period leading up to a patent application, to ensure it remains valid. However, it may be commercially sensible to simply maintain the secrecy of the invention, particularly given that the costs of obtaining patents are not inconsiderable, particularly if applying world-wide. Sources: Information on this page was primarily obtained from the following sources: A webinar titled Dodging Dragons and Catching Unicorns by Justin Blows, Phoenix Intellectual Property
  9. Startupbootcamp's Energy Australia launched in Melbourne today! They are looking for the 10 best innovative startups solving problems in Energy Efficiency, Energy Independence, Digitisation and Analytics. During their intense 3-month accelerator program, selected smart energy startups will receive hands-on mentorship from over 100 industry experts, free office space, seed funding, and access to a global network of investors with the ultimate goal of scaling their businesses and becoming industry-leading companies. Applications for the January 2018 program are now open. If you are part of a smart energy startup or know any smart energy startups that want to accelerate 18 months of learning into 3 months, sign up for one of the FastTrack events. The first FastTrack event is in Melbourne on 23 August, 2017 http://bit.ly/SBC_EnergyAus_Mel More details at: https://www.startupbootcamp.org/blog/2017/08/accelerating-australias-energy-transformation/
  10. Description: The Internet of Things is creating a whole new digital agenda for oil and gas. This case study details how DiUS helped Environmental Monitoring Solutions use the cloud and IoT to tackle the global petroleum industry problem of petrol station inefficiencies and make a positive environmental impact. Source: Based on a webinar delivered on 1 August 2017 to the Applied IOT Engineering Community of Engineers Australia by Zoran Angelovski, DiUS Principal Consultant and Russell Dupuy, Managing Director of Environmental Monitoring Solutions Biographies: Zoran Angelovski has ridden the wild technology wave for over 20 years. He has a background in hardware development, broadband telecommunications and more recently electric vehicle chargers, smart energy devices and IoT products. Russell Dupuy has over 25 years’ experience in fuel system automation. He is an industry leader, disruptor and innovator. Forged from a formal engineering background, he has developed leak detection systems and wetstock management solutions for major oils in Australia, Europe, Japan and the USA. With a passion for the environment, Russell leads a number of environmental and industry workgroups to drive innovation and sustainability for what is often referred to as a mature and dirty industry. Title: Disrupting Retail Petroleum Introduction This case study describes the development of the Fuelsuite remote monitoring and 24/7 support service for retail petroleum outlets. This system connects onsite data from service stations to the Cloud in a scalable and cost effective manner to provide insights to clients in order to anticipate issues before they occur. A conceptual diagram of the Fuelsuite solution is shown in the diagram below. Diagram courtesy of Zoran Angelovski, DiUS and Russell Dupuy, EMS The petroleum industry can be divided into two segments: upstream petroleum: exploration of crude oil; shipping of crude and refined oil; and cracking to the finished consumer product downstream petroleum: bulk storage of oil at major storage facilities around the world; distribution and transportation of the oil; and retail marketing for consumer consumption. There are several examples of uptake of IoT systems in upstream petroleum: in seaboard terminals, refining or cracking plants, and ships. However most are usually embedded in some form of MESH or SCADA system. Fuelsuite is an IoT solution for downstream petroleum, which at this point has not shown good uptake of IoT technology. The retail petroleum market incorporates approximately 540,000 developed retail service stations around the globe, as shown in green on the diagram below. For the markets coloured dark grey in the diagram, verifiable information on the number of service stations is not available, however, research conducted by DiUS indicates that in excess of one million retail service stations exist. Diagram courtesy of Russell Dupuy, EMS and Zoran Angelovski, DiUS Developed retail petroleum markets typically have a point of sale and self-serve multi-hose fuelling for consumers. They also feature cash as well as other payment systems, and a high level of equipment automation. In contrast, attended sites, for example in Africa, generally operate on a docket or a cash system. Over the last 15 years, the number of manufacturers supplying petrol stations with equipment globally has decreased from 250 to 50. There are five dominant manufacturers, which are predominantly US- or European-based. These five companies are heavily invested in acquiring companies through consolidation, and with continuing proprietary systems for commercial reasons. Client profile and IoT solution goals Target clients are retail petroleum marketers, with the following profile: own and operate up 800 service stations sell up to 3 billion litres of fuel per year spend up to $15 million per year cleaning up spills and leaks spend up to $45 million per year in maintenance. Typical client technologies include the following: POS-BOS automatic tank gauge for measuring fuel automated dispensers to deliver fuel to the hose intelligent pumps to push the fuel from the tank leak detection systems water management and monitoring systems fridges and air compressors pie, coffee, slurpee, bain-marie sensors for a range of things The goals of the IoT solution are to reduce: environmental spend by greater than 50% maintenance spend by more than 15% per year fuel variance more than 0.2%. Challenges In retail petroleum, the various systems at a service station are not integrated, and clients are resistant to open architecture solutions as proprietary enterprise systems available from the small pool of global equipment manufacturers offer commercial benefits. Often, service stations run on old hardware and protocols such as a current loops connecting petrol pumps to point of sale terminals, which are mostly standards compliant, but may produce signals which are out of specification. Many retail service stations have automated technologies but revert to manual processes such as metering the fuel being delivered into tanks. This leads to safety and environmental issues including: employees including being struck by moving vehicles or assaulted by customers above ground spills leading to serious fires. Another challenge is maintaining underground tanks to meet environmental compliance standards for preventing fuel leaks. In the US, over a ten year period to 1998, 1.5-million underground tanks were closed due to non-compliance There were 380,000 sites to be cleaned up, at a run rate of 19,000 a year. Inventory management are often quite basic, resulting in high fuel variances, which means that clients are unable to accurately account for fuel underground. Solution The solution developed by Environmental Monitoring Solutions (EMS) incorporated the following steps: develop hardware to connect devices on site connect it to the cloud build a leading cloud platform migrate our smarts into the cloud choose a build partner choose the right platform. These steps are described further in the subsections below. Develop hardware One fundamental challenge was to develop hardware to connect all the devices on site. As there were commercial benefits in clients maintaining their existing enterprise equipment, it was decided to create a custom device for use with existing equipment on site at retail service stations, rather than swap out existing equipment to use a range of third-party devices. Firstly, the solution needed to connect to the gauge on the fuel tank, in order to collect fuel levels, water detection, fuel leakage, temperature and other readings. Secondly, a custom piece of hardware (a pump communications module) needed to be designed to connect to the pumps to detect how much fuel was being dispensed. This module had to be non-intrusive to the rest of the current loop that physically connected equipment on site. This allowed the data loop to be closed in terms of how much petrol was underground in the tanks, and how much was being dispensed through the pumps. The third task of the initial phase of the project was connecting to the price board. This was especially critical for remote sites with no attendant to change the price on site, so this is a task that ideally needs to be done remotely. The aim of this connectivity was to build the capability to collect data that is available in the Cloud that can be analysed in real time using advanced data analytics techniques. The availability of this data will help shift clients from reacting to problems that have already occurred to anticipating problems before they occur as shown in the diagram below. Diagram courtesy of Russell Dupuy, EMS and Zoran Angelovski, DiUS Connect to cloud and migrate system It was then necessary to build a leading cloud platform, as the existing legacy system was outdated: it was an enterprise website, not a true cloud application. All algorithms and intelligence needed to be migrated into that cloud. A physical diagram of the Fuelsuite solution is shown below. Diagram courtesy of Russell Dupuy, EMS and Zoran Angelovski, DiUS As shown in the diagram above, the Things (tank gauge, pump communications module and price board) at the petrol station were connected via a single board computer module and LTE modem to the cellular data network. Data was transmitted via the data network to the IoT Cloud infrastructure to consumers: the Fuelsuite management tools and the users that used the analysed data to take action to prevent problems before they occur. For example, turn off a pump when water contamination is detected. Build partner and IoT platform EMS chose DiUS as their build partner. The platform chosen was Amazon Web Services (AWS) for both Cloud and IoT. An architectural diagram of Fuelsuite is shown below. Diagram courtesy of Russell Dupuy, EMS and Zoran Angelovski, DiUS At one end are the Things, (devices and hardware). As it is intended to deploy thousand of Things over a multitude of petrol stations, the IoT infrastructure provides an effective way to communicate over a network across to the Cloud so that the Fuelsuite management tools can process the data and deliver information to users. The solution leverages an IoT connection from AWS, which incorporates an SDK software development chip, but essentially it operates on a simple single board computer module that gives connectivity from the remote end into the hub or the IoT gateway that is in the Cloud. This provides a secure end-to-end connection across the mobile data network. It also provides mechanisms to authenticate the devices using AWS generated certificates. Additionally, the solution needed a protocol that runs across that mobile connection. The protocol chosen was MQTT, because it will operate in a bandwidth-restricted environment. This was important because the developers anticipated the future deployment of narrow band IoT technologies and wanted to be able to leverage it. MQTT is also light protocol, so when thousands of devices are deployed. This will reduce the cost of the data plan necessary to communicate with thousands of deployed devices in many service stations compared to HTTP and other internet-based protocols. Once the data is in the Cloud, it is routed via the AWS Rules Engine. This is a very simple way to route data to other services, so that it can be manipulated, managed and delivered to the consumer. It also provides a very clear demarcation between the Cloud and the remote devices. If the platform provider brings out a new feature, or if new capabilities are required for the Fuelsuite solution, the routing and be easily adjusted on the Cloud side only without relying on a firmware upgrade, which is very convenient because with many devices out in the field it is desirable to avoid upgrading firmware remotely. The equipment supporting the service is managed through the Device Shadow, which provides a simple way of determining whether a device is online or offline and a clear view of the requested versus reported configurations. If there are any differences, the Cloud configuration can be reconciled with the actual hardware configuration and the equipment can go away and do its job. The Device Shadow also works with intermittent connectivity, which is really critical when the data is connected over wireless networks such as 3G or 4G. Lastly, the Device Shadow enables pre-configuration of devices before the devices being physically available. As devices are installed, their configuration is reconciled if there are any differences to the pre-configuration settings. This allows field staff to operate without needing to make changes in the Cloud. Other services used in the Cloud are: Kinesis Stream: which provides a scalable way to capture and manage the large volumes of data that are funnelled into this concentrated point Firehose: which provides the ability to stream data to other upstream services, such as Elastic Search and the notification queues Elastic Search: enables the use of indexed searching. Next steps The custom hardware produced for this solution will be rolled out to about 1,000 sites in the second half of 2017. This will make tangible gains in the data collected by the industry, as currently only around 20% of tanks are connected to the internet, and they provide data about once a day. There is no pump data being connected at present. Further investigations will also be conducted into how to use the data to better target environmental monitoring and use limited resources to get better outcomes.
  11. What does it take to be an IoT engineer?

    Love it. All the idle cash in the world is desperate to not miss out on the next Airbnb, and has done a sensational job of monopolising the narrative of business success. Rocket speed growth, a trail of destruction, laptops in cafeterias, and more talking than doing. Let the trends be trends. There's no replacement for authenticity.
  12. Zigbee vulnerabilities

    Great article. Funny - the security issues remain the same, but the implications get a whole lot more exciting!
  13. Industrial IoT at Scale: What’s Really Needed

    Some good points made there. Probably won't surprise any engineers to find that not all screwdrivers fit all screws. But yes, in the hype-driven business decision making world we live in, there are many examples of trying to use a screwdriver to hammer a nail. I'd go as far as to say the challenge is not to "figure out ways around these problems", because that assumes the fallacy that, for example, "edge" computing is a novel invention from the cloud era. In reality, processing has always been done at the edge, and cloud computing paradigms simply mean we need a term to describe the adoption of legacy paradigms. I'd prefer to frame the challenge as doing our due diligence on the applicability of new tools. If cloud does not provide net benefit, then the solution is not to adopt it. In reality, there are likely to be aspects that can benefit from new technology, and so the challenge is to astutely adopt aspects of new technology that provide net benefit. I get a little tired of the one-size fits all hype, that then hyper-hypes accommodations that are simply existing techniques wrapped up in new lingo. You see this a lot, for example, in web development frameworks. Every few years all the problems are re-solved, only to reveal a different set of issues that had already been solved.
  14. Samsung has announced a new service as part of its ARTIK IoT platform to monetise the data shared by IoT devices and enable an IoT data economy. The service, ARTIK Cloud Monetization For IoT, allows companies to tap into the data on their IoT devices to create service plans and generate revenue. Manufacturers can use it to create a brokering, metering and payments system. Full announcement: https://news.samsung.com/global/samsung-electronics-launches-new-data-monetization-solution-for-iot-using-samsung-artik-cloud
  15. AggreGate Server on Nanopi NEO

    We’ve tested AggreGate Server on Nanopi NEO, one of the smallest Linux-based single-board PCs. Despite its small size, this device simply rules! It has RAM 512 Mb on board, 1,2 GHz quad-core CPU, 10/100M Ethernet network interface, and many other interfaces to connect the world. AggreGate possibilities on the NEO board are similar to Linux-based Tibbo Project System. It can act as a simple close-knit protocol gateway with intermediate data processing. Check it infrastructure monitoring tools, industrial automation software and other AggreGate IoT solutions on our website.
  16. until
    While smart technology is rapidly expanding in the leisure sector, with apps, smart beacons, mapping and way-finding offering better user experiences, stronger relationships with consumers and, most importantly the ability to collect detailed operational and behavioural data in real time, this technology has yet to significantly infiltrate into other business sectors such as manufacturing, construction and management system. Electric Bench is one of the first IoT companies to grow innovative digital ecosystems using a smart technology spine, deploying using multiple IoT technologies to deliver dramatic improvements in business efficiencies, real time data gathering and analytics intelligence, enhanced employee and contractor communications and better performance in any business enterprise. Electric Bench worked with the National Museum of Wales to create a user experience of the artwork and exhibits that was enhanced by smart beacon proximity devices that triggered video, audio & polling content directly to the visitor’s device as they toured the building. This improved visitor numbers, increased revenue and gave the museum important information on how visitors behave to improve the layout of their exhibits in the future. This technology is now being used to greatly improve productivity for property management, HSE management, construction high risk environments and contractor / short service employees’ governance. The ability to push and receive real time data on current activity and behaviour gives organisations the ability to be more agile and efficient in their supply chain, as well as reducing risk profiles and having a better understand of the effectiveness of their controls.
  17. Telstra, in partnership with Cohda Wireless, has conducted Australia’s first test of Vehicle-to-Pedestrian (V2P) technology over a mobile network in South Australia. The trial demonstrated vehicles interacting directly with pedestrians’ and cyclists’ mobile phones providing early-warning collision detection and alerts via an app installed on their mobiles. Full report: https://exchange.telstra.com.au/making-australian-roads-safer-meet-the-tech-connecting-cars-with-the-people-around-them/
  18. What does it take to be an IoT engineer?

    The IoT and the Startup Mirage Hardly a week goes by without a brand-new Startup trumpeting their claims to vast IoT territories that I’ve so laboriously trudged across these past few decades - all with the vast expenditure of technical and marketing effort and the humiliation of field failures. Sexy websites show groups of attractive and happy young people all holding slim notebook computers or sitting in front of modern terminals in airy bright atrium work spaces - all this far removed from the cluttered bench space of our working engineers and the reality of a manufacturing facility. A quick scan of the startup's Board Members shows some pretty high-flying suits, no doubt moving through rarefied circles well beyond my ken while collecting salaries far exceeding my own hard-earned stipend. The very occasional Case Study of a field deployment mentioned on these web sites trumpets only Success, dressed up to look like a massive product rollout that’s taken a grateful market by storm. Ringing around the marketplace throws a harsher light on these systems; they are often merely preliminary trial units on free-loan to potential customers, rather than working systems sold after winning over skeptical farmers. Look under the News tab on these web sites and you’ll find photos of company executives in black tie and tails at Award ceremonies, being congratulated on their tremendous growth (potential). Perhaps the final indignity is the ready cash showering down – investors seem to flock to startups, while companies demonstrating organic growth, sound management, field-proven products, job creation, customer loyalty, a high level of support and routes to market stand ignored on the sidelines. Totally flummoxed by all this modern-day smoke and mirrors, I sought a non-engineering perspective. I tried to follow the resulting explanation – I really did! The bottom line seems to be that I’m a troglodyte mired in the perception that the best indication of market success is a signed purchase order and positive cash flow. That it’s not about what you can design and sell, but about selling yourself and your startup’s ‘disruptive potential’ to groups of investors (gamblers?) based on a storyboard of your trajectory to becoming the next Google, Apple, Amazon or Tesla. So I’m left trying to find some small crumbs of comfort amidst a tidal-wave of media releases suggesting that our end is nigh. Perhaps I’ll just ignore all the clamour and stick to my knitting, leaving the passage of time rather than the world-wide-web to make the final judgement call on who really succeeded in making something out of the IoT.
  19. Test: Introduction to IoT

    This is a recording of a webinar delivered by Geoff Sizer.
  20. Interactive Analytics

    Introduction IoT applications discover and store huge volumes of data from multiple sources, and process it using various forms of data analytics. The results of this analysis need to be presented in a way that is useful to end users and aid in their decision making. Presenting data in visual forms, such as charts and graphs, enables users to understand what is happening at a glance and conceptualise what further investigations are required to understand a complex phenomenon (such as building vibrations). Interactive analytics are a set of tools that allow data analysts to investigate the data and create visualisations that present easy to read results and figures that relate directly to users' requirements. They also provide the ability to share these results with others. The main vendors of interactive analytics tools include: Power BI from Microsoft and Tableau, IBM, SAP Oracle, SAS, MicroStrategy and QlikTech. Sources: The information on this page has been sourced primarily from the following: Case Study titled Studying movement behaviour in a building: A case study of obtaining analytics from IoT Data
  21. Data Integration

    Introduction Data for IoT applications often comes from many heterogenous sources, which may not be easily brought together for analysis. Data integration is one approach that is used in IoT solutions to allow disparate data to be used to provide useful decision-making support. It is a tool that is often used in data warehousing. Data integration makes use of Extract, Transform, Load (ETL) tools. There are also other new tools including Enterprise Feedback Management (EFM). These are the tools that are utilised to bring the data from one point to the other. ETL vendors are listed in the diagram below. Diagram courtesy of Jorge Lizama, GHD Sources: The content in this page was primarily sourced from Case Study titled Studying movement behaviour in a building: A case study of obtaining analytics from IoT Data Further reading: Data integration info website
  22. In-Memory Computing

    Introduction A major challenge In processing the volume of data required for IoT solutions is sourcing sufficient computing power to perform before-aggregation computations. When this needs to be carried out record by record, many traditional data environments, which use disk storage to store data, are not sufficiently powerful to complete the task, or may take days to deliver results. An in-memory database (IMDB) is a database management system that primarily relies on main memory (RAM) for computer data storage. It can be thousands of times faster than a disk storage database and is useful for real-time analytics that need to happen very quickly. In-memory computing also has very good compression algorithms, which makes it possible to better utilise the storage space. Diagram courtesy of Jorge Lizama, GHD Some key vendors of in-memory computer systems are shown in the diagram below. Diagram courtesy of Jorge Lizama, GHD Sources: The information on this page has been sourced primarily from the following: Case Study titled Studying movement behaviour in a building: A case study of obtaining analytics from IoT data
  23. Introducing Bluetooth Mesh Networking

    I'd liked Stacey Higginbotham's take: https://staceyoniot.com/bluetooth-mesh-is-here-and-boy-is-it-complicated/ Why the Bluetooth SIG insist on being everything to everyone is beyond me. Rather than being ideal to many (Bluetooth Classic) they often end up being not very good to all (BLE) and confuse the landscape in the process.
  24. Imagine visiting your cardiologist and rather than being attached to a clunky machine to do an electrocardiogram test, the doctor just sprays on a conductive wearable mesh that can track your heart for a week. That's one possibility based on this new conductive mesh technology that researchers at the University of Tokyo have built. Full article: https://www.eurekalert.org/pub_releases/2017-07/uot-bwe071217.php
  25. Microsoft said we’d find Cortana in more places going forward and last week it announced a second IoT device, known as GLAS, made by a Johnson Controls. The company is well known for making HVAC equipment and controllers, and are the makers of the first electric room thermostat. It appears that GLAS will include a translucent touchscreen display that will allow owners to alter room temperatures, check energy usage and air quality, and see calendar information. More details on https://www.theverge.com/2017/7/19/16000474/microsoft-cortana-thermostat-johnson-controls-glas
  26. Semantic Sensor Networks

    Introduction A very important technology in the sensor discovery area, introduced in 2013, is semantic sensor networks (SSN). Describing sensors and their data in a consistent and common framework makes it easier to discover them. This particular semantic system network description was developed by a consortium of organisations around the world called the W3C. The W3C is also working with the Open Geospatial Consortium (OGC) to develop clarify and formalise the standards landscape for spatial information on the web. SSN is an ontology that describes aspects of the sensors and the systems using them. It describes the deployment, the data, the system, the operating restrictions, the devices, the measuring capability, and the constraints of the sensors. The SSN can be focussed on: a sensor perspective: what is sensed, how it is sensed a data or observation perspective: observations and related metadata a system perspective: systems of sensors a feature and property perspective: features, properties of features and what can sense them. The SSN ontology can be downloaded from the W3C website. It has been used to annotate semantic web open-link data technologies, and can be queried using tools such as SPARQL. SSN is used extensively around the world, especially in Europe, and is the de-facto standard in this area today. Paradigm shift SSN represents a paradigm shift from the hard-coded vertical approach of referencing sensors by name or number to discovering sensors based on a description of the sensor, the sensor platform or the information it can provide, as shown in the diagram below. Diagram courtesy of Prem Prakash Jayaraman, Swinburne University of Technology Ontology modules The SSN consists of several ontology modules as shown in the diagram below. Diagram courtesy of Prem Prakash Jayaraman, Swinburne University of Technology These modules provide the ability to describe sensing platforms, sensors, and capabilities at a minute level. The sensor is described using an HTTP URI. For example, a sensor could be an air temperature sensor which was made by a particular manufacturer. It could observe air temperature and humidity. The unit of measurement of this observation could be Celsius or Fahrenheit. Any machine can look at this URI, get a description of the sensor, and be able to understand exactly what the sensor produces, how it produces this information, and from where the data is coming from. Other entries in the sensor description could include accuracy, location, owner and frequency of measurement. An example is shown in the diagram below. System developers can develop queries using properties and features that are relevant to their solution. Diagram courtesy of Prem Prakash Jayaraman, Swinburne University of Technology Sources The information on this page has been sourced primarily from the following: A webinar titled IoT application development with open data-driven computing platforms by Prof Dimitrios Georgakopoulos, Swinburne University of Technology A webinar titled An Open Source approach to the Internet of Things by Prem Prakash Jayaraman, Research Fellow, Key Lab for IOT, Swinburne University of Technology
  27. "More than half of Australians would prefer to use fingerprints, voice or retina scans in place of PINs when making payments and a quarter are ready for artificial intelligence to do their shopping. According to new research commissioned by Visa, more than a quarter (29%) of Australians are ready to use an internet-connected device, like a smart home virtual assistant or connected fridge to make payments on their behalf." Full report: https://www.visa.com.au/about-visa/newsroom/press-releases/australians-ready-for-iot-and-ai-in-commerce.html
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