Intelligent Transportation systems (ITS) are heavily dependent on private user data. However, most ITS fails to harness the potential of this invaluable data due to the absence of effective data governance mechanisms ...
详细信息
ISBN:
(纸本)9798350399462
Intelligent Transportation systems (ITS) are heavily dependent on private user data. However, most ITS fails to harness the potential of this invaluable data due to the absence of effective data governance mechanisms promoting users' contributions. Moreover, data contributors face security risks such as privacy preservation, data leakage, etc., as well as high costs in data sharing, while benefits are disproportionately reaped by system operators and interaction. This systemic imbalance could indirectly incentivize a surge in inactions and even malicious actions. In response to these challenges, we propose the design of a True Autonomous Organization (TAO) for ITS, namely ITS TAO. Utilizing the newly designed decision models with decentralized organization structures and the three-power structure, ITS TAO aims to realize the fair distribution of rights and benefits for ITS data contributors. Furthermore, we design a real-time evaluation system based on parallel intelligence capable of identifying potential hazards.
The prevalence of sensors and sensor networks has resulted in the Internet of Things (IoT), transforming modern lifestyles. However, resource-constrained IoT edge devices require inventive sensing, computing, and wire...
详细信息
ISBN:
(纸本)9798350387186;9798350387179
The prevalence of sensors and sensor networks has resulted in the Internet of Things (IoT), transforming modern lifestyles. However, resource-constrained IoT edge devices require inventive sensing, computing, and wireless telemetry strategies to support the massive number of devices in an IoT network. Traditional telemetry and data encoding schemes for short-range sensor networks are limited by network bandwidth, data processing capability, and power constraints imposed by the battery energy density. To mitigate these challenges, an energy-efficient architecture is presented for analog orthogonal pulse (AOP) generation and AOP-based data encoding for high-density spectrum-efficient wireless telemetry. Unlike conventional digital pulse-based encoding, higher-order analog orthogonal pulses are used for spectrum-efficient data encoding. The orthogonal pulse generator contained a reduced number of functional blocks for energy efficiency. The MATLAB-Simulink package is used to design and simulate the proposed encoding architecture and, finally, embedded into a microcontroller unit. Test results show the successful generation of analog orthogonal pulses and pulse-based signal encoding.
With the development of big data and artificial intelligence, the proliferation of data brings new challenges to the key-value storage systems. The Remote Direct Memory Access (RDMA) can bring clear performance benefi...
详细信息
Biomedical documents contain a wealth of multimodal data, including visual evidence and natural language descriptions. Effectively navigating this vast and expanding data source poses significant challenges, requiring...
详细信息
This research paper comprehensively explores recommendation systems, elucidating their functionality within real-world contexts. As the volume of data continues to burgeon daily, harnessing its potential has become im...
详细信息
Effective monitoring of essential road infrastructure is critical to ensure economic growth and community connectivity, as deterioration from climate change and intensive use can compromise safety and hamper emergency...
详细信息
We present a novel temperature-based data migration strategy for tiered storage systems that addresses the limitations of existing Newton's Law of Cooling approaches. While current methods treat temperature increa...
详细信息
In micromarketing, data mining is actively conducted using large-scale data to understand customers' detailed needs. Customer Relationship Management aims to improve customer satisfaction and increase revenue usin...
详细信息
Phenomena such as smart health and emergency management systems when embedded with data-driven decision-making have become a game-changer in the field of healthcare and an emergency response. In this paper, we investi...
详细信息
暂无评论