IoT

The data is collected from the deployed IoT sensor node at a pilot farm in Narrabri, Australia. The dataset includes information about soil characteristics such as soil moisture and soil temperature at 20-40-60 cm depth. The sensor node also provides information about environmental influencers, which are critical in constructing machine learning models to predict Evapotranspiration in diverse soil and environmental conditions.

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The necessity for strong security measures to fend off cyberattacks has increased due to the growing use of Industrial Internet of Things (IIoT) technologies. This research introduces IoTForge Pro, a comprehensive security testbed designed to generate a diverse and extensive intrusion dataset for IIoT environments. The testbed simulates various IIoT scenarios, incorporating network topologies and communication protocols to create realistic attack vectors and normal traffic patterns.

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With the accelerating pace of population aging, the urgency and necessity for elderly individuals to control smart home systems have become increasingly evident. Smart homes not only enhance the independence of older adults, enabling them to complete daily activities more conveniently, but also ensure safety through health monitoring and emergency alert systems, thereby reducing the caregiving burden on families and society.

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A novel ultra-low-voltage (ULV) Dual-EdgeTriggered (DET) flip-flop based on the True-Single-PhaseClocking (TSPC) scheme is presented in this paper. Unlike Single-Edge-Triggering (SET), Dual-Edge-Triggering has the advantage of operating at the half-clock rate of the SET clock. We exploit the TSPC principle to achieve the best energy-efficient figures by reducing the overall clock load (only to 8 transistors) and register power while providing fully static, contention-free functionality to satisfy ULV operation.

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The Machine Failure Predictions Dataset (D_2) is a real-world dataset sourced from Kaggle, containing 10,000 records and 14 features pertinent to IIoT device performance and health status. The binary target feature, 'failure', indicates whether a device is functioning (0) or has failed (1). Predictor variables include telemetry readings and categorical features related to device operation and environment. Data preprocessing included aggregating features related to failure types and removing non-informative features such as Product ID.

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This dataset provides realistic Internet of Things (IoT) traffic time-series data generated using the novel Tiered Markov-Modulated Stochastic Process (TMMSP) framework. The dataset captures the unique temporal dynamics and stochastic characteristics of three distinct IoT applications: smart city, eHealth, and smart factory systems. Each application's traffic pattern reflects real-world behaviors including human-machine correlation (HMC), sudden data bursts, and application-specific seasonality patterns.

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With the rapid development of IoT technology, IoT-enabled systems, represented by smart homes, are becoming ubiquitous. In order to support personalized user requirements, such systems appeal to the end-user programming paradigm. This paradigm allows end-users to describe their requirements using TAP (Trigger-Action Programming) rules, which can be deployed on demand. However, writing TAP rules is error-prone and end-users are often unaware of the actual effects of the rules they write, given the context-sensitive nature of these effects.

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Now days, everything in the world is almost becoming automated. Technology has changed the view through which earlier we used to look at the objects. In the 21st century, we are now opting for more easy options for accessing the technology and day to day objects. The best example is banking where in previous days; the account holder had to go far to the bank and stand in the queue and then transfer or cash the money. But same is now possible on even a basic cell phone where you can transfer the cash, pay the bills very easily not more than five minutes.

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Graphics provides one of the most natural means of communicating with a computer, since our highly developed 2D Or 3D pattern-recognition abilities allow us to perceive and process pictorial data rapidly. • Computers have become a powerful medium for the rapid and economical production of pictures. • Graphics provide a so natural means of communicating with the computer that they have become widespread. • Interactive graphics is the most important means of producing pictures since the invention of photography and television . • We can make pictures of not only the real world objects but als

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Tourism receipts worldwide are not expected to recover to 2019 levels until 2023. In 

the first half of this year, tourist arrivals fell globally by more than 65 percent, with a near halt 

since April—compared with 8 percent during the global financial crisis and 17 percent amid 

the SARS epidemic of 2003, according to ongoing IMF research on tourism in a post-pandemic 

world. Because of pandemic we faces the different struggles specially the business closed. 

that’s why country’s economy decrease, at first many company need to reduce their employee. 

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