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Dev
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Communication Protocols in IoT: The Unsung Heroes of Our Connected World
- Communication protocols are essential in IoT as they ensure seamless communication between devices.
- There are different types of communication protocols in IoT, including short-range, long-range, and wired protocols.
- Popular IoT protocols include MQTT, CoAP, AMQP, and HTTP/HTTPS, each catering to specific needs.
- Choosing the right protocol involves considering factors such as power consumption, latency, and security.
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Embedded
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Virtual Antenna Technology, PCB Design, CVEs of IoT Devices: Embedded Week Insights
- Renesas Electronics introduces automotive multi-domain SoC using 3-nm process technology.
- Texas Instruments launches new series of real-time MCUs for automotive and industrial applications.
- Infineon and Marelli collaborate on advanced E/E architecture development.
- Articles discuss the value of software, exploding CVEs for IoT devices, and virtual antenna technology.
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Medium
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AI-Enhanced IoT Solutions: Redefining Industry Standards and Customer Experiences
- Nest’s smartphone connectivity enables temperature checking and adjustments from any location, and its sleek digital interface is a pleasant change from the bulkier physical dial for many IoT devices.
- The AI in IoT market is anticipated to grow at a consistent CAGR of 6.4%.
- By the end of 2023, there were 16.6 billion linked IoT devices, up 15% from 2022.
- The convergence of AI and IoT development services is not just a technological trend but a revolution reshaping industries and transforming the way business interacts with customers.
- AI algorithms can review gigantic datasets, spot patterns, and make decisions autonomously on data. This results in smarter systems that predict outcomes, optimize operations, and provide enhanced customer interactions without drawing continuous human oversight.
- The strength of AI and IoT combined will be changing the very way businesses function and create value for their customers.
- In manufacturing, combining AI-powered predictive maintenance with IoT sensors reduces equipment downtime by identifying an impending failure before it actually happens.
- AI-enriched IoT app development solutions are transforming customer experiences into intuitive, responsive, and personalized.
- Advanced AI algorithms provide individualized recommendations for routes based on traffic data, weather conditions, and personal preferences. All of this is redefining customer experience with AI and IoT.
- As the technology advances further, it will break down the conceptual lines between the physical and digital to form seamless, intelligent ecosystems that get more deeply ingrained in one’s life.
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Embedded
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Revolutionizing Precision Farming with Wireless Embedded Systems
- Precision agriculture is an advanced farming practice that uses technology to monitor and manage agricultural operations with high accuracy.
- A Precision farming data acquisition system using embedded devices is being put forward in this article.
- A reliable method of data transmission is essential for sending sensor data to a centralized location for cloud storage and further processing. The choice between wireless or wired modes will depend on the farm’s existing infrastructure.
- Popular choices of wireless technologies include Wi-Fi, Bluetooth, cellular, LoRaWAN, and Zigbee and LoRaWAN is a spread spectrum modulation technique commonly used in precision farming, IoT, and for building smart cities attributing majorly because of its range, data rate, and power consumption.
- Considerations for choosing the right Wireless Long Range MCUs for precision farming include low power consumption, wireless protocol support, network architecture, MCU architecture, security, memory, I/O interfaces, and sensors for precision farming.
- Soil moisture sensors, electrochemical sensors such as NPK, pH Acidity, Salinity, and GPS receivers for mapping fields are necessary sensors for precision farming.
- This article provides key considerations for selecting the right MCU for an embedded system, enabling the creation of cost-effective precision farming solutions with long-range connectivity.
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Securityaffairs
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Hackers target critical flaw CVE-2024-10914 in EOL D-Link NAS Devices
- Hackers have started targeting the critical flaw CVE-2024-10914 in end-of-life (EOL) D-Link NAS devices.
- The vulnerability is a command injection issue that affects certain D-Link NAS devices.
- The flaw allows remote OS command injection via the cgi_user_add function.
- Exploitation attempts have been observed since November 12th.
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Iotbyhvm
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Real-World Applications of Data Science Across Industries
- Data science enables industries to make data-driven decisions, monitor operations, and drive innovation across healthcare, retail, finance, manufacturing, and transportation.
- Fundamentals of data science involve collecting, processing, analyzing, and interpreting large datasets to extract valuable insights through statistics, programming, machine learning, and data visualization.
- Key trends like AI and machine learning, natural language processing, edge computing, data ethics, and automated data science (AutoML) are driving innovation, improving efficiency, and expanding data science's reach across various industries.
- Data science is used in healthcare for early disease detection, personalized treatment plans, and drug discovery. Additionally, data science aids in disease prediction and personalized treatment options.
- Retailers use data science for personalized marketing, inventory management, and recommendation algorithms that analyze user behavior to suggest relevant products or shows, increasing engagement and sales.
- Financial institutions leverage data science for fraud detection, risk management, and customer analytics. Banks analyze transaction data to identify fraudulent patterns and prevent losses.
- Predictive maintenance powered by data science reduces equipment downtime and maintenance costs. General Electric (GE) uses data models to monitor equipment and predict failures.
- Data science also drives efficiency and innovation in transportation through route optimization, demand forecasting, and ride-sharing companies that use data to predict peak times, reducing wait times and enhancing customer satisfaction.
- To succeed in data science, professionals need technical expertise, analytical skills, and industry knowledge. The iit data science course offers comprehensive training in essential skills, including machine learning, statistical analysis, and data visualization.
- Data science transforms how businesses operate and adds value by creating solutions that improve outcomes, reduce costs, and enhance customer experiences in the modern world.
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Iotbyhvm
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What meteorological conditions affect wind power generation?
- Wind power generation is based on conversion of wind kinetic energy into electrical energy
- Stability of wind speed affects wind power generation
- Wind direction changes greatly affect impellers to adjust their angles and power generation
- Temperature changes affect air density and impeller resistance
- Turbulence affects the wind turbine impeller's speed and direction and power generation
- Altitude interrelates with various meteorological factors affecting the wind power generation and efficiency
- Air density decreases as altitude increases
- Higher altitude leads to less resistance to the wind impeller
- Wind speed increases with high altitude, thus increasing the power generation and efficiency of wind turbines
- Changes in air density and other effects brought by altitude influence the power generation and efficiency of wind turbines
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Iotbyhvm
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What are the factors that affect PV power generation?
- Skylight panels play a vital role in photovoltaic power generation systems, as they act as huge energy collectors. The larger the area of the skylight panel, the wider the space it can cover, and the more solar radiation it can receive.
- Material properties of skylight panels are one of the key factors determining the efficiency of photovoltaic power generation. Optimizing the microstructure of the skylight panel makes interaction between photons and electrons in the material more efficient. This improves the efficiency of photoelectric conversion.
- Sunshine duration is an important factor that affects the photovoltaic power generation systems. The longer the sunshine duration, the longer the photovoltaic system can continue to generate electricity. Sunshine duration is an important consideration when selecting a site for large-scale photovoltaic power generation projects.
- Elevation and orientation of the skylight have a profound impact on the efficiency of the photovoltaic power generation system. The elevation angle of the skylight panel should be appropriately increased or decreased according to the solar altitude angle in different seasons.
- The climate conditions also play a significant role in affecting photovoltaic power generation, including temperature, humidity, and wind speed. High temperatures reduce the efficiency of photovoltaic panels. Wind speed helps to improve the efficiency of the system by dissipating the heat on the surface of the panels. High humidity tends to accumulate water or condensation on the glass surface of the PV modules, decreasing the power generation efficiency.
- Surface obstructions like dust and shadows have a significant impact on PV power generation. Dust reduces the transmittance of sunlight, reducing electricity generation. Trees and buildings cause shadows and affect local power generation.
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Iotbyhvm
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Internet of Things helps smart agriculture
- The Internet of Things is a data transmitter that allows for the interconnection of all regular physical objects capable of being individually addressed. Smart agriculture, on the other hand, is an agricultural development model that uses modern scientific and technological means to improve agricultural production efficiency. The Internet of Things + smart agriculture will continue to play an important role in the future and make greater contributions to global food security and sustainable agricultural development.
- The Internet of Things technology provides smart agriculture with the ability to collect and analyze big data. The Internet of Things technology can realize precise irrigation and fertilization of farmland, which can be controlled by sensors such as soil moisture and temperature, ensuring crops receive the right amount of water and nutrients. Through intelligent irrigation systems and intelligent spraying system, sustainable advancement of agricultural production and contribution towards reducing environmental pollution can also be achieved.
- IoTbyHVM reports that farmers face significant challenges in adapting to smart agriculture because IoT technology is relatively expensive, security measures should be taken to prevent breaches of data, and technical and management capabilities may be required for traditional farmers to adapt. However, with the continuous innovation and popularization of IoT technology, the combination of IoT and smart agriculture is a general trend to improve agricultural production efficiency and quality.
- Smart agriculture is a new trend in the development of agricultural science and technology and covers concepts such as information agriculture, agriculture, virtual agriculture. Smart agriculture introduces modern information technology and automated equipment to promote the sustainable development of agriculture.
- Smart agriculture has realized the precision and intelligence of the agricultural production process through modern information technology and automated equipment. However, the IoT also faces challenges that range from high initial costs to security and privacy issues, among others.
- The IoT connects various physical devices through the Internet to achieve information sharing and automated control between devices, thereby increasing the efficiency of the production process and reducing waste in agricultural production. IoT technology can also realize remote monitoring and management of farmland, and contact farmers easily through cloud platforms to provide decision support.
- Precision management through data collection and analysis allows farmers to understand the status of farmland and adjust agricultural activities such as irrigation and fertilization, thereby improving the yield and quality of crops. Sustainable development and the traceability of agricultural products can also be achieved using IoT technology.
- IoT technology will become more popular in smart agriculture as the cost gradually decreases and the technology achieves a higher level of automation and intelligence. These advances will improve the efficiency and quality of agricultural production and will not be limited to large farms and agricultural enterprises, but also gradually prospective for small and medium-sized farmers and rural areas.
- In conclusion, IoT technology plays an important role in smart agriculture in that it improves agricultural production efficiency through data analysis. However, challenges need to be overcome to promote and apply IoT technology, and with continuous development and maturity, smart agriculture will become increasingly important in improving agricultural production efficiency, ensuring food security, and achieving sustainable agricultural development.
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TechBullion
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iTop VPN: Best AD Blocking VPN You Should Know
- iTop VPN is one of the best VPNs for ad blocking, providing a smoother browsing experience.
- It blocks ads and harmful links while offering protection against ransomware and malware.
- iTop VPN uses AES-256 encryption for strong security and offers features like Kill Switch and unlimited bandwidth.
- It has a strict No-Log Policy and a Dark Web Monitor to protect user privacy.
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HRKatha
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Why digital curiosity is the new leadership superpower
- Digital curiosity is identified as the new leadership superpower in the fast-paced, tech-infused corporate world.
- Leaders need to be fluent in finance and technology, combining financial literacy with tech expertise to make data-driven decisions.
- Digital curiosity involves actively engaging with new technologies to leverage their potential in various areas like manufacturing and HR.
- Leaders must possess cognitive agility, continuously learn, and bridge the gap between tech and traditional expertise to succeed in a tech-driven landscape.
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Medium
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Exploring the Internet of Things (IoT): Connecting Devices for a Smarter World
- The Internet of Things (IoT) is a disruptor that is influencing our way of life, how we work, and how we interact with the outside world.
- IoT is a network of physical items equipped with sensors and software to communicate with other devices online, making the world more automated and efficient.
- Examples of IoT applications include smart homes, healthcare, agriculture, and smart cities, all aimed at increasing productivity and improving quality of life.
- As billions of devices become connected, IoT is expected to grow significantly, but data security and privacy issues need to be addressed.
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Pymnts
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Report: Apple Developing AI-Powered Smart Home Device
- Apple is reportedly developing a new smart home device that combines artificial intelligence, apps, and smart home functions.
- The device, code-named J490, will have a six-inch screen, camera, rechargeable battery, and internal speakers.
- It will be equipped with Siri, Apple Intelligence, and a touch interface, with a later version featuring a robotic arm.
- The device will compete with Amazon's Echo Show and Google's Nest Hub, with prices ranging from similar offerings to $1,000.
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Embedded
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SECO and Raspberry Pi Collaborate to Expand their Industrial IoT Offerings
- SECO and Raspberry Pi have announced a strategic commercial agreement to collaborate on hardware and software development.
- SECO will introduce a 10.1-inch Human-Machine Interface (HMI) solution built on Raspberry Pi's fifth-generation Compute Module (CM5).
- Raspberry Pi OS will incorporate SECO's Clea IoT software application, bringing value to industrial users in AI/ML applications and device management.
- The partnership will explore opportunities in image recognition, peripheral AI, and future Raspberry Pi microcontrollers.
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VentureBeat
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Edge data is critical to AI — here’s how Dell is helping enterprises unlock its value
- Dell is introducing advancements to its Dell NativeEdge edge operations software platform.
- The platform aims to simplify the deployment, scaling, and use of AI in edge environments.
- It offers high-availability capabilities, virtual machine migration, and pre-built blueprints for AI deployment.
- Dell NativeEdge has been deployed by customers in various industries, including manufacturing, farming, and infrastructure inspection.
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