IoT

In recent years, with the rapid development of Internet of Things technology, the application and popularization of intelligent sports equipment in residents’ lives have become extensive. As a sport suitable for all ages, badminton is deeply loved by the masses. This paper designs a smart badminton racket to help students improve their badminton skills by providing real-time training data and three-dimensional posture information.
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This ZIP file contains two distinct datasets collected over a 13, 14 and 15-day periods.
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We constructed the largest NAS package dataset to date, consisting of 1,489 NAS packages from major third-party sources, which can offer representative data for further research. Given that Synology and QNAP have the largest user bases, these platforms experience the highest frequency of attacks. Furthermore, the NAS package ecosystems provided by other vendors are considerably smaller. So our security measurements focus solely on the NAS packages of Synology and QNAP.
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- This dataset comprises license plate information captured by Automatic Number Plate Recognition (ANPR) devices as vehicles either entered or left the smart village area of Alpujarra, which encompasses the towns of Pampaneira, Capileira, and Bubión.
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The data are the original data of UAV sound source localization by ODAS system consisting of 12-channel spherical microphone array and circular MEMS microphone array of dual system. The data contains four different types of UAV sound sources, and the UAV sound sources in different frequency bands are used to locate the sound sources of multiple UAVs.
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The product INSTITUTE MANAGEMENT SYSTEM offers records of students etc. in an
institute. To the users of this project are administrator, staff member. User is a person of
administrative staff at an institute. Therefore “COMPUTER INSTITUTE
MANAGEMENT SYSTEM” has been designed in such a way that it will automate the
manual work of administrative department by maintaining records such as fee records,
payroll records etc. The user can even manipulate the data such as by editing the records
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The Smart Home Device Dataset consists of 5000 samples collected at an hourly interval starting from January 2022, representing consumer electronics and IoT-enabled devices in a home automation environment. Each entry is associated with a unique device ID, ensuring identification of distinct devices. The dataset captures real-time sensor readings, including temperature variations (18°C to 30°C), power consumption levels (10W to 500W), and user activity states (Active, Idle, or Sleep), which provide contextual insights into device operation.
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The Dash Cam Video Dataset is a comprehensive collection of real-world road footage captured across various Indian roads, focusing on lane conditions and traffic dynamics. Indian roads are often characterized by inconsistent lane markings, unstructured traffic flow, and frequent obstructions, making lane detection and traffic identification a challenging task for autonomous vehicle systems.
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Solar Insecticidal Lamps Internet of Things (SIL-IoTs) is an advanced agricultural IoT system integrating solar insecticidal lamps with wireless sensor networks. It attracts pests with light, then kills them with high-voltage metal grids. Equipped with wireless communication modules and environmental sensors, SIL-IoTs can collect and transmit field data, including pest counts (discharge pulse counts, insect-killing sound pulse counts), environmental data (air temperature, humidity, light intensity, equipment box temperature), and operational status.
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ÛThis article examines Meta-AI's sociolinguistic challenges on WhatsApp through research-based analysis of its limitations in adapting lexicon and precise ethical practices in intercultural communication. The study demonstrates how Meta-AI system fails to read truncated vernacular speech patterns (“kenapa” → “enapa”) while missing customized slang (“puki”) used specifically in Maluku, North Maluku and East Nusa Tenggara regions to show fundamental limitations in error recognition capabilities and contextual understanding.
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