A Method to Improve the Accuracy of Personal Information Detection

It is necessary to confirm the personal data factors and the rules of verification before conducting personal data detection. So that the detection method can be written in the subsequent implementation of the automatic detection tool. This paper will conduct experiments on common personal data factor rules, including domestic personal identity numbers and credit card numbers with checksums. We use ChatGPT to test the accuracy of identifying personal information like ID card identification numbers or credit card numbers. And then use personal data correlation to reduce the time for personal data identification. Although the number of personal information factors found has decreased, it has had a better effect on the actual manual personal data identification. The result shows that it saves about 45% of the calculation time, and the execution efficiency of the accuracy is also improved with the original method by about 22%, which is about 2.2 times higher than the general method. Therefore, the method proposed in this paper can accurately and effectively find out the leftover personal information in the enterprise. .

The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities:A comprehensive systematic review

The dynamic landscape of sustainable smart cities is witnessing a significant transformation due to the integration of emerging computational technologies and innovative models.These advancements are reshaping data-driven planning strategies,practices,and approaches,thereby facilitating the achievement of environmental sustainability goals.This transformative wave signals a fundamental shift d marked by the synergistic operation of artificial intelligence(AI),artificial intelligence of things(AIoT),and urban digital twin(UDT)technologies.While previous research has largely explored urban AI,urban AIoT,and UDT in isolation,a significant knowledge gap exists regarding their synergistic interplay,collaborative integration,and collective impact on data-driven environmental planning in the dynamic context of sustainable smart cities.To address this gap,this study conducts a comprehensive systematic review to uncover the intricate interactions among these interconnected technologies,models,and domains while elucidating the nuanced dynamics and untapped synergies in the complex ecosystem of sustainable smart cities.Central to this study are four guiding research questions:1.What theoretical and practical foundations underpin the convergence of AI,AIoT,UDT,data-driven planning,and environmental sustainability in sustainable smart cities,and how can these components be synthesized into a novel comprehensive framework?2.How does integrating AI and AIoT reshape the landscape of datadriven planning to improve the environmental performance of sustainable smart cities?3.How can AI and AIoT augment the capabilities of UDT to enhance data-driven environmental planning processes in sustainable smart cities?4.What challenges and barriers arise in integrating and implementing AI,AIoT,and UDT in data-driven environmental urban planning,and what strategies can be devised to surmount or mitigate them?Methodologically,this study involves a rigorous analysis and synthesis of studies published between January 2019 and December 2023,comprising an extensive body of literature totaling 185 studies.The findings of this study surpass mere interdisciplinary theoretical enrichment,offering valuable insights into the transformative potential of integrating AI,AIoT,and UDT technologies to advance sustainable urban development practices.By enhancing data-driven environmental planning processes,these integrated technologies and models offer innovative solutions to address complex environmental challenges.However,this endeavor is fraught with formidable challenges and complexities that require careful navigation and mitigation to achieve desired outcomes.This study serves as a comprehensive reference guide,spurring groundbreaking research endeavors,stimulating practical implementations,informing strategic initiatives,and shaping policy formulations in sustainable urban development.These insights have profound implications for researchers,practitioners,and policymakers,providing a roadmap for fostering resiliently designed,technologically advanced,and environmentally conscious urban environments.

Combination of the Kinect with Virtual Reality in Balance Training for the Elderly

Daily life movements such as standing, walking, and jumping need balance ability to achieve. Good balance control is closely related to the body stability and its development. According to medical research, people showing dizziness after taking drugs may have their balance ability substantially affected, and are more likely to fall, especially true to the elderly. This study proposes the combination of Kinect with virtual reality to build an information platform of interactive scenarios, for practices and evaluation on balance ability. Based on the indicators of balance ability, this platform sets out various training activities to improve the balance ability, making the supposedly boring process fun and vivid for a much better training purposes. Also, according to literatures, training with gaming patterns results in 30% reduction of falls. What’s more, this type of training can have the data, like time of use, scores, and joint postures, recorded and sent through network to databases on remote computer servers. The data collected from this platform can be sorted and analyzed, and the results can then be used to evaluate the performance of the balance training, and referenced for follow-up planning in the future.

Analytical Investigation of Channel Capacity of UWB-MIMO Systems

Ultra-wide-band (UWB) technology combined with multiple input and multiple output (MIMO) provides a viable solution for achieving high data transmission rates of more than 1 Gb/s in wireless communications. UWB is typically applied to short-range indoor environments and is therefore characterized by dense multipath propagation. In this type of environment, MIMO systems allow for a substantial improvement in the spectral efficiency by exploiting the inherent array gain and spatial multiplexing gain of UWB systems. This paper investigates the channel capacity of UWB-MIMO wireless technology and shows that UWB and MIMO designs improve the spectral efficiency logarithmically and linearly, respectively.

Recent Advances in Machine-to-Machine Communications

In the near future, there are expected to have at least billions of devices interconnected with each other. How to connect so many devices becomes a big issue. Machine-to-Machine (M2M) communications serve as the fundamental underlying technologies to support such Internet of Things (IoT) applications. The characteristics and services requirements of machine type communication devices (MTCDs) are totally different from the existing ones. Existing network technologies, ranging from personal area networks to wide area networks, are not well suited for M2M communications. Therefore, we first investigate the characteristics and service requirements for MTCDs. Recent advances in both cellular and capillary M2M communications are also discussed. Finally, we list some open issues and future research directions.

Information Audit Based on Image Content Filtering

At present, network information audit system is almost based on text information filtering, but badness information is embedded into image or image file directly by badness information provider, in order to avoid monitored by. The paper realizes an information audit system based on image content filtering. Taking the pornographic program identification for an example, the system can monitor the video including any abnormal human body information by matching the texture characters with those defined in advance, which consist of contrast, energy, correlation measure and entropy character measure and so on.

Adjusting Sink Location to Reduce End-to-End Delay in Low-Duty-Cycle Wireless Sensor Networks

Low-duty-cycle mechanisms can reduce the energy consumption significantly in wireless sensor networks（WSNs）. Sensors stay dormant most of the time to save their energy and wake up based on their needs. However, such a technique, while prolonging the network lifetime, sets excessive challenges for reducing the end-to-end（E2E） delay within the network. In this paper, the centralized cluster-based location finding（CCLF） algorithm is proposed to reduce the high latency in low-duty-cycle WSNs by finding a suitable position for the sink. The algorithm is mainly composed of three steps： a） the cluster construction, b） the fast look-up table（FLU-table） construction, and c） the sink location decision. The simulation results show that the performance of the CCLF algorithm is significantly similar to that of the optimal algorithm. Moreover, the CCLF algorithm requires less operation time compared with the optimal algorithm.

Depth Enhancement Methods for Centralized Texture-Depth Packing Formats

To deliver three-dimension （3D） videos through the current two-dimension （2D） broadcasting systems, the frame-compati-ble packing formats properly including one texture frame and one depth map in various down-sampling ratios have been proposed to achieve the simplest and most effective solution. To enhance the compatible centralized texture-depth packing （CTDP） formats, in this paper, we further introduce two depth enhancement algorithms to further improve the quality of CT-DP formats for delivering 3D video services. To compensate the loss of color YCbCr 444 to 420 conversion of colored-depth, two efficient depth reconstruction processes based on texture and depth consistency are proposed. Experimental re-sults show that the proposed enhanced CTDP depacking pro-cess outperforms the 2DDP format and the original CTDP de-packing procedure in synthesizing virtual views. With the help of the proposed efficient depth reconstruction processes, more correct reconstructed depth maps and better synthesized quality can be achieved. Before the available 3D broadcasting systems, which adopt truly depth and texture dependent cod-ing procedure, we believe that the proposed CTDP formats with depth enhancement could help to deliver 3D videos in the current 2D broadcasting systems simply and efficiently.

What’s Missing in Agile Hardware Design? Verification!

Agile hardware design is an approach to developing hardware systems that draws inspiration from the principles and practices of agile software development.It emphasizes collaboration,flexibility,iterative development,and quick adaptation to changing requirements.In agile hardware design,the focus is on delivering functionalhardware systems in shorter development cycles while maintaining high-quality and customer satisfaction.In particular,agile hardware design is of great interest in the open-source hardware community.Open-sourcehardware development—such as RISC-V—is at the forefront of initiatives to democratize hardware and drive innovation in chip design forward.Agile design is instrumental for the RISC-V community because it supportsrapid iteration,accommodates the evolving RISC-V standard and the addition of custom extensions,improvescommunity collaboration and time-to-market,and addresses the design challenges associated with complex architectural features.