IoT
This dataset comprises Channel State Information (CSI) data collected from WiFi signals in six indoor environments, specifically designed for research in indoor intrusion detection. The dataset captures fine-grained variations in wireless signals caused by human, which are indicative of potential intrusions. CSI data, extracted from commercial WiFi chipsets, provides detailed amplitude and phase information across subcarriers, enabling robust detection of subtle environmental changes.
- Categories:
31 Views
The dataset contains thousands of signal frames from 60 ZigBee devices. The devices and USRP N210 were placed on two movable cabinets on wheels with a maximum distance of 3 meters between them. Due to distance constraints, a coaxial attenuator with an attenuation of 60 dB was fitted at the receiver in order to obtain signals at low SNR. The SNR of the received signal is changed by adjusting the distance between the two cabinets, which can be reduced to about 0 dB when the distance is about 3 metres.
- Categories:
13 Views
One of the leading causes of early health detriment is the increasing levels of air pollution in major cities and eventually in indoor spaces. Monitoring the air quality effectively in closed spaces like educational institutes and hospitals can improve both the health and the life quality of the occupants. In this paper, we propose an efficient Indoor Air Quality (IAQ) monitoring and management system, which uses a combination of cutting-edge technologies to monitor and predict major air pollutants like CO2, PM2.5, TVOCs, and other factors like temperature and humidity.
- Categories:
113 Views
This dataset presents a comprehensive collection of research articles on requirements engineering, encompassing various subtopics such as requirements specification, elicitation techniques, software development methodologies, and challenges in requirements management. The dataset includes metadata such as publication year, author details, research titles, objectives, problem statements, identified gaps, key findings, and contributions.
- Categories:
47 Views
DALHOUSIE NIMS LAB ATTACK IOT DATASET 2025-1 dataset comprises of four prevalent types attacks, namely Portscan, Slowloris, Synflood, and Vulnerability Scan, on nine distinct Internet of Things (IoT) devices. These attacks are very common on the IoT eco-systems because they often serve as precursors to more sophisticated attack vectors. By analyzing attack vector traffic characteristics and IoT device responses, our dataset will aid to shed light on IoT eco-system vulnerabilities.
- Categories:
127 Views
AI was begun to increasingly part of EFL education introducing novelties, issues and opportunities. Current studies explore many possibilities, such as employing federated learning as a protection of data privacy and the implementation of ChatGPT in multilingual learning. This article offers comprehensive analysis of how AI could transform pedagogy, improve writing skills and motivate students through evaluating the novelty, existing voids, need, and implications of many the most promising studies.
- Categories:
153 Views
In this study, MMW data are collected using a commercial handheld scanner (Vayyar's ECS2000), focusing on localized scans of the human body. The collected data are complex-valued (CV) high-resolution local 3D pseudo-images over a volume of 13×13×10 cm with spatial resolutions of 1.6 mm, 1.6 mm, and 4.3 mm in the x, y, and z directions, respectively. The compact, portable ECS2000 Vayyar's MMW scanner is built around a single RF board working in the frequency range of [60.4-69.9] GHz, housing transmitting and receiving antennas in a multiple-input multiple-output (MIMO) setup.
- Categories:
123 Views
This dataset is shared as part of the paper Towards scalable and low-cost WiFi sensing: preventing animal-vehicle collisions on rural roads, submitted to the IEEE Internet of Things Journal (IoT-J). It contains Wi-Fi Channel State Information (CSI) data from roadway crossings of small and large animals, persons and vehicles in rural environments.
- Categories:
124 Views
Solar insecticidal lamps (SIL) are commonly used agricultural pest control devices that attract pests through a lure lamp and eliminate them using a high-voltage metal mesh. When integrated with Internet of Things (IoT) technology, SIL systems can collect various types of data, e.g., pest kill counts, meteorological conditions, soil moisture levels, and equipment status. However, the proper functioning of SIL-IoT is a prerequisite for enabling these capabilities. Therefore, this paper introduces the component composition and fault analysis of SIL-IoT.
- Categories:
113 Views
This ZIP file contains two distinct datasets collected over a 14-day period. The first dataset consists of real-world smart home data, providing detailed logs from six devices: a Plug Fan, Plug PC, Humidity Sensor, Presence Sensor, Light Bulb, and Window Opening Sensor. The data includes device interactions and environmental conditions such as temperature, humidity, and presence. The second dataset is generated by a smart home simulator for the same period, offering simulated device interactions and environmental variables.
- Categories:
151 Views