In this study, we explore the potential of the Internet of Things (IoT) within the domain of smart healthcare management applications, an area of growing importance in Computer Science, Artificial Intelligence (AI), M...
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Background: The videos produced during wireless capsule endoscopy have larger data size causing difficulty in transmission with limited bandwidth. The constraint on wireless capsule endoscopy hinders the performance o...
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Background: The videos produced during wireless capsule endoscopy have larger data size causing difficulty in transmission with limited bandwidth. The constraint on wireless capsule endoscopy hinders the performance of the compression module. Objectives: The objectives of this paper are as follows: (i) to conduct an extensive review of the losslesscompression techniques and (ii) to find out the limitations of the existing system and the possibilities for improvement. Methods: The literature review was conducted with a focus on the compression schemes satisfying minimum computational complexity, less power dissipation and low memory requirements for hardware implementation. A thorough study of various losslesscompression techniques was conducted under two perspectives, i.e., techniques applied to Bayer CFA and RGB images. The detail of the various stages of wireless capsule endoscopy compression was investigated to have a better understanding. The suitable performance metrics for evaluating the compression techniques were listed from various literature studies. Results: In addition to the Gastrolab database, WEO clinical endoscopy atlas and Gastrointestinal atlas were found to be better alternatives for experimentation. Pre-processing operations, especially new subsampling patterns need to be given more focus to exploit the redundancies in the images. Investigations showed that encoder module can be modified to bring more improvement towards compression. The real-time endoscopy still exists as a promising area for exploration. Conclusion: This review presents a research update on the details of wireless capsule endoscopy compression together with the findings as an eye-opener and guidance for further research.
The most valuable resource in Wireless Sensors Networks (WSNs) is power consumption since it directly influences the lifetime of micro-sensors. So, there are several techniques have been proposed to solve this issue, ...
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ISBN:
(纸本)9784885523205
The most valuable resource in Wireless Sensors Networks (WSNs) is power consumption since it directly influences the lifetime of micro-sensors. So, there are several techniques have been proposed to solve this issue, such as routing protocol (energy-efficient medium access control (MAC)) and routing methods. Recently, compression techniques are used to reduce the size of transmitted data (less storage cost) and transmission time (less bandwidth needed) over wireless channels, which is the main power consumer in wireless sensor networks. In this paper, a new losslesscompression scheme for Wireless Sensor Networks (WSNs) is proposed. It built on the nature of the data we dropped from a real-world deployment (Sensorscope project), which take into account the integer and the float part of the samples and compressed them separately using different methods. Our method overcomes many traditional algorithms, and it performed 90% and 79% better in term of compression ratio for Temperature and Relative Humidity, respectively.
We study the language of legal codes from different countries and legal traditions, using concepts from physics, algorithmic complexity theory and information theory. We show that vocabulary entropy, which measures th...
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We study the language of legal codes from different countries and legal traditions, using concepts from physics, algorithmic complexity theory and information theory. We show that vocabulary entropy, which measures the diversity of the author's choice of words, in combination with the compression factor, which is derived from a losslesscompression algorithm and measures the redundancy present in a text, is well suited for separating different writing styles in different languages, in particular also legal language. We show that different types of (legal) text, e.g. acts, regulations or literature, are located in distinct regions of the complexity-entropy plane, spanned by the information and complexity measure. This two-dimensional approach already gives new insights into the drafting style and structure of statutory texts and complements other methods.
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