With data mining becoming more and more important in many research area, cluster analysis has played an important role in geoscience application domain. Though the range of clustering algorithms that have been develop...
详细信息
With data mining becoming more and more important in many research area, cluster analysis has played an important role in geoscience application domain. Though the range of clustering algorithms that have been developed is broad, this paper will classify them according the broad approach or method adopted by each: a partitioning method, a hierarchical method, a density-based method, a grid-based method, a model-based method. The application of the new clustering algorithm demonstrates that data mining techniques can be used in geophysical data interpretation and can get meaningful and useful results, and that the new clustering algorithm can be used in other real world applications.
In this paper, the consumption structure data of urban residents are selected from 31 administrative areas (including provinces, cities and autonomous regions) in China during the period of 2001 t0 2007. Then, softwar...
详细信息
In this paper, the consumption structure data of urban residents are selected from 31 administrative areas (including provinces, cities and autonomous regions) in China during the period of 2001 t0 2007. Then, software SPSS16.0 is adopted to make analysis of factor, clustering and discriminant. Through the comparative analysis between Inner Mongolia region and the developed eastern provinces, we find that the consumption gap is gradually increased between them. In order to reduce this gap,we propose some policy suggestions to improve the consumption level of Inner Mongolia finally.
Solid-state lighting technology is now emerging as a cost-competitive, energy-efficient alternative to conventional electrical lighting. We review the history of lighting, discuss the benefits and challenges of the so...
详细信息
Body joint modeling and human pose reconstruction provide precise motion and quantitative geometric information about human dynamics. The rich motion information obtained from human pose estimation plays important rol...
详细信息
Body joint modeling and human pose reconstruction provide precise motion and quantitative geometric information about human dynamics. The rich motion information obtained from human pose estimation plays important roles in a wide range of digital twin and connected health applications. However, current related researches have difficulties in extracting the joints’ spatial-temporal correlations from different levels. This is due to the poses being at various complexities in moving various joints differently. Hence, the typical conventional transformer method is non-adaptable and barely meets the aforementioned requirement. In this paper, we propose the Body Joint Interactive transFormers (BJIFormer) to extract the multi-level joints’ spatial-temporal information. The design enables the model to learn the inner joints’ correlation inside the body parts across frames and propagate the extracted information across the body parts with shared joints. The multi-level body joint interactive scheme has greater efficiency improvement by restricting the self-attention computation to partial body parts and connecting each body part by torso. The proposed interactive approach explores the spatial-temporal correlation following the hierarchical paradigm and effectively estimates and reconstructs 3D human poses.
The advancement of the Internet of Medical Things (IoMT) has led to the emergence of various health and emotion care services, e.g., health monitoring. To cater to increasing computational requirements of IoMT service...
详细信息
The advancement of the Internet of Medical Things (IoMT) has led to the emergence of various health and emotion care services, e.g., health monitoring. To cater to increasing computational requirements of IoMT services, Mobile Edge Computing (MEC) has emerged as an indispensable technology in smart health. Benefiting from the cost-effectiveness of deployment, unmanned aerial vehicles (UAVs) equipped with MEC servers in Non-Orthogonal Multiple Access (NOMA) have emerged as a promising solution for providing smart health services in proximity to medical devices (MDs). However, the escalating number of MDs and the limited availability of communication resources of UAVs give rise to a significant increase in transmission latency. Moreover, due to the limited communication range of UAVs, the geographically-distributed MDs lead to workload imbalance of UAVs, which deteriorates the service response delay. To this end, this paper proposes a UAV-enabled Distributed computation Offloading and Power control method with Multi-Agent, named DOPMA, for NOMA-based IoMT environment. Specifically, this paper introduces computation and transmission queue models to analyze the dynamic characteristics of task execution latency and energy consumption. Moreover, a credit assignment scheme-based reward function is designed considering both system-level rewards and rewards tailored to each MD, and an improved multi-agent deep deterministic policy gradient algorithm is developed to derive offloading and power control decisions independently. Extensive simulations demonstrate that the proposed method outperforms existing schemes, achieving \(7.1\%\) reduction in energy consumption and \(16\%\) decrease in average delay.
暂无评论