Amateur badminton players often struggle with reaching shots due to inadequate footwork, especially when dealing with fast attacks to the front court, such as drop shots. To address this issue, this research proposes ...
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Reverse Osmosis (RO) is a traditional technique for filtering water, especially for drinking purpose. Around 75% of contaminated water gets discharged as waste. The principal goal of this paper is to make a seamless s...
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Traffic management also plays a crucial role in urban planning and development, with pressing challenges related to congestion, safety, and environmental impact. In this study, we proposed a real time traffic control ...
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This paper investigates a novel belt-type water surface garbage collector, designed to enhance the intelligence and efficiency of garbage collection systems. To address the mechanical structure and control system of t...
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CT of the urinary system, abdomen, and kidneys appears to improve kidney stone screening and identification. Segmentation and categorization are essential for kidney stone identification and management. This work deve...
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Artificial intelligence technology has been widely used in the legal system in recent years. Compared to human judges, artificial intelligence is more unbiased, competent, and efficient when used for judicial purposes...
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With the vigorous rise of the Internet of Things (IoT) technology, its integrated application in smart homes and health monitoring has become increasingly prominent. This paper designs and implements an IoT-based heal...
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The Internet of Things (IoT) is an emerging concept that senses the physical world by connecting various "things"and objects to the Internet. Conventional cloud-based IoT systems are unlikely to keep up with...
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The Internet of Things (IoT) is an emerging concept that senses the physical world by connecting various "things"and objects to the Internet. Conventional cloud-based IoT systems are unlikely to keep up with the diverse needs of IoT applications and have some issues, such as privacy and latency. Edge computing based IoT systems solve these issues by placing data processing and inference tasks near the data source. However, due to the increasing complexity of IoT applications, performing data processing and inference tasks in edge computing based IoT systems can lead to high energy consumption and latency. Processing-in-Memory (PIM) is a promising solution to reduce the energy consumption of data processing and inference tasks by closely integrating computational logics with memory device. Therefore, in this paper, we propose PIM-IoT, a PIM architectures enabled IoT system to reduce the energy consumption. To accommodate various data processing tasks, we architect PIM-IoT as a hierarchical system that consists of 3 tiers: sensing tier, gateway tier, and edge computing tier. We first analyze the dataflow of typical IoT applications and map tasks to different tiers. To handle the data processing and inference tasks effectively in each tier, we then propose hierarchical, heterogeneous, and collaborative PIM architectures for each tier. Finally, we show how multi-tier can be co-optimized under latency and power constraints. To our knowledge, this is the first work to explore novel PIM architectures in IoT systems. Detailed analysis and experimental results show that PIM-IoT can achieve 5.6x performance improvement and 6x energy consumption reduction for IoT applications.
This research investigates sentiment analysis of user reviews for the XYZ e-wallet application on the Google Play Store, which currently holds a low rating of 2.7 out of 5. A preliminary study, including a focus group...
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Artificial Intelligence has revolutionized various sectors, but its successful implementation encounters significant security, ethics, and reliability challenges. This study presents a web-based tool addressing securi...
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