Smart Platforms of Air Quality Monitoring: A Logical Literature Exploration

Rahi, Pankaj; Sood, Swati; Bajaj, Rohit

doi:10.1007/978-981-15-4451-4_5

Cited by 4 publications

(3 citation statements)

References 34 publications

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“…One of the main current tasks of this emerging smart computing platform includes the processing and streaming of large amounts of data from sensors as well as machine learning tasks [109,110]. This framework is able to offer an optimal model in terms of both processing time and least error rate in working with air quality databases, especially related to smart monitoring [111][112][113][114].…”

Section: Pre-processing Of Low-cost Sensor (Lcs) Datamentioning

confidence: 99%

Low-Cost Air Quality Sensing towards Smart Homes

et al. 2021

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The evolution of low-cost sensors (LCSs) has made the spatio-temporal mapping of indoor air quality (IAQ) possible in real-time but the availability of a diverse set of LCSs make their selection challenging. Converting individual sensors into a sensing network requires the knowledge of diverse research disciplines, which we aim to bring together by making IAQ an advanced feature of smart homes. The aim of this review is to discuss the advanced home automation technologies for the monitoring and control of IAQ through networked air pollution LCSs. The key steps that can allow transforming conventional homes into smart homes are sensor selection, deployment strategies, data processing, and development of predictive models. A detailed synthesis of air pollution LCSs allowed us to summarise their advantages and drawbacks for spatio-temporal mapping of IAQ. We concluded that the performance evaluation of LCSs under controlled laboratory conditions prior to deployment is recommended for quality assurance/control (QA/QC), however, routine calibration or implementing statistical techniques during operational times, especially during long-term monitoring, is required for a network of sensors. The deployment height of sensors could vary purposefully as per location and exposure height of the occupants inside home environments for a spatio-temporal mapping. Appropriate data processing tools are needed to handle a huge amount of multivariate data to automate pre-/post-processing tasks, leading to more scalable, reliable and adaptable solutions. The review also showed the potential of using machine learning technique for predicting spatio-temporal IAQ in LCS networked-systems.

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Section: Pre-processing Of Low-cost Sensor (Lcs) Datamentioning

confidence: 99%

Low-Cost Air Quality Sensing towards Smart Homes

et al. 2021

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“…For each 128-dimensional feature vector in the image, it is a K-NN problem to find K feature vectors that best match them in image 2. To improve the matching speed while ensuring accuracy, we use the algorithm approximate K-NN with K-trees [31]. In the depth-first search process of K-tree, the speed of finding the nearest neighbor depends on the point that can be traversed to the nearest neighbor immediately to reach the boundary condition during the backtracking process and exit the search process.…”

Section: A Improved High-resolution Graphics Processing Algorithmmentioning

confidence: 99%

Real-Time AR Technology Assisted High-Resolution Image Processing and its Graphic Design Application

Sheng

2020

IEEE Access

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Based on real-time AR technology, this paper processes high-resolution graphics and uses it in graphic design. A high-resolution image equalization algorithm based on the maximum entropy model is proposed. First, use the Otsu method to determine the data segmentation point of high-resolution graphics; then preprocess the high-resolution image; then traverse according to the proposed maximum entropy model to find the dynamic range segmentation point that maximizes the image entropy after equalization, and finally according to the data segmentation point and dynamics, the range division point performs highresolution image equalization on the image to obtain the final enhancement result. Experiments show that compared with other comparison algorithms, the algorithm has a wide application range, strong detail retention ability, and natural effect. Experiments show that compared with other contrast algorithms, this algorithm has a proper contrast improvement, a wide range of applications, can be used for real-time video enhancement and graphic design and is practical. In the graphic design stage, the involvement of digital technology has become a basis for designers to choose horizontal solutions. In the early stage site design and mid-term graphics selection, the performance analysis software in BIM was used to analyze the acousto-optic heat of the plane. Based on this intuitive data analysis, the scheme was weighed. At the same time, the VR three-dimensional space experience reinforces the "people-oriented" design principle. With the help of digital technology, the designer compares the solutions horizontally from the perspective of rationality and sensibility, to choose the sustainable design of graphic design. INDEX TERMS Real-time AR technology; high-resolution images; graphic processing; graphic design.

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“…The unconditional secure communication can only be achieved in the case of a binary deletion channel [9], and cannot be applied in practice. Subsequently, many researchers turned to specific secure coding schemes, such as Low-Density Parity-Check (LDPC) [10], which can achieve theoretical secrecy capacity under binary deletion channel [11], and Polar coding, which can achieve secrecy capacity under binary symmetric channel [12]. In addition to this, there are coding techniques such as BCH code, Space-Time Coding (STC) based on multiantenna MIMO systems for approximating the secrecy capacity [13].…”

Section: Related Workmentioning

confidence: 99%

MIMO Cross-Layer Secure Communication Algorithm for Cyber Physical Systems Based on Interference Strategies

Qiu

2020

IEEE Access

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Smart Platforms of Air Quality Monitoring: A Logical Literature Exploration

Cited by 4 publications

References 34 publications

Low-Cost Air Quality Sensing towards Smart Homes

Low-Cost Air Quality Sensing towards Smart Homes

Real-Time AR Technology Assisted High-Resolution Image Processing and its Graphic Design Application

MIMO Cross-Layer Secure Communication Algorithm for Cyber Physical Systems Based on Interference Strategies

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