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International Journal of Ad Hoc and Ubiquitous Computing最新文献

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Accurate identification of economic hardship students: a data-driven approach 准确识别经济困难学生:数据驱动的方法
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.133451
Chunyan Yu, Linfeng Gu, Guilin Chen, Aiguo Wang
Universities provide subsidies to students with economic hardship every year. However, the traditional method cannot accurately find those who really need help. Recently, students often use e-cards to consume in campus, and the consumption data from e-cards reflect the students' behaviours. In this paper, a data-driven method which combines statistical methods with machine learning classification algorithms (SM2L) is proposed to identify students with economic hardship by using consumption data. First, SM2L extracts seven features about meals and bath and excludes some abnormal consumption individuals according to consumption time and amount. Second, three classification algorithms are used to classify students and get different numbers of students with economic hardship by adjusting the parameters. Third, output the intersection of the result from phase 2 and the students who consume more in school. Experiments show that SM2L can accurately identify students with economic hardship.
大学每年向经济困难的学生提供补贴。然而,传统的方法不能准确地找到那些真正需要帮助的人。近年来,学生经常使用电子卡片进行校园消费,电子卡片的消费数据反映了学生的行为。本文提出了一种将统计方法与机器学习分类算法(SM2L)相结合的数据驱动方法,利用消费数据识别经济困难学生。首先,SM2L提取了关于吃饭和洗澡的七个特征,并根据消费时间和消费数量排除了一些异常消费个体。其次,采用三种分类算法对学生进行分类,通过调整参数得到不同数量的经济困难学生。第三,输出第二阶段的结果与在学校消费更多的学生的交集。实验表明,SM2L能够准确识别经济困难学生。
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引用次数: 0
Satisfaction-driven cooperative trajectory optimisation for multi-UAV-assisted mobile edge computing 多无人机辅助移动边缘计算的满意度驱动协同轨迹优化
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.10056217
Cuntao Liu, Yan Guo, Ning Li, Weibo Yu
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引用次数: 0
A hybrid approach for feature selection using SFFS and SBFS with extra-tree and classification using XGBoost 使用SFFS和SBFS进行特征选择的混合方法,并使用XGBoost进行额外树和分类
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.10058463
A. Kharwar, D. Thakor
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引用次数: 0
Identity-based ring signature scheme with multi-designated verifiers 具有多指定验证者的基于身份的环签名方案
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.10056216
Yunyun Qu, Jiwen Zeng
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引用次数: 0
Dynamically Improving Students' Learning Performance with the Awareness of Their Engagement and Performance based on PE Chat 基于体育聊天的参与意识与表现意识动态提高学生学习绩效
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.10060209
Chih hung Chung, Chin Hwa Kuo
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引用次数: 0
Reconfigurable intelligent surfaces with hybrid wind, solar and RF energy harvesting 可重构智能表面与混合风能,太阳能和射频能量收集
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.134597
Raed I. Alhamad
This paper derives the throughput of wireless communications using reconfigurable intelligent surfaces (RIS) when the source harvests power from wind, radio frequency (RF) signals and the sun. The harvested power from wind is proportional to the power of three of wind speed and depends also on rotor radius r and air density. The harvested power from RF signals is proportional to the squared absolute value of channel coefficient. The harvested power from the sun uses a photo voltaic (PV) system and is proportional to radiation intensity. The radiation intensity is Gaussian and takes into account weather effects such as cloud occlusion. We show that hybrid energy harvesting using both the wind, RF signal, and solar energy offers the largest throughput.
本文利用可重构智能表面(RIS)从风能、射频(RF)信号和太阳能中获取能量,推导出无线通信的吞吐量。从风中获得的能量与风速的三次方成正比,还取决于转子半径r和空气密度。从射频信号中获得的功率与信道系数的平方绝对值成正比。从太阳收集的能量使用光伏(PV)系统,与辐射强度成正比。辐射强度是高斯的,并考虑了天气影响,如云层遮挡。我们表明,使用风能、射频信号和太阳能的混合能量收集提供了最大的吞吐量。
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引用次数: 0
Adapting mobile user interfaces based on users' application usage behaviours 根据用户的应用程序使用行为调整移动用户界面
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.133453
Hajer Dammak, Meriem Riahi, Faouzi Moussa
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引用次数: 0
FETES: a fast, emergency timeslot allocation, and three-tier energy saving-based task execution strategy for wireless body area network FETES:一种快速、应急时隙分配、基于三层节能的无线体域网络任务执行策略
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.129394
Mahfuzulhoq Chowdhury
Wireless body area network (WBAN) is becoming increasingly popular among researchers and patients due to its real-time healthcare services. Mobile-edge computing (MEC) can play a major role to satisfy the latency requirements of WBAN's healthcare applications. The development of a suitable computation offloading and energy savings scheme is critical for MEC-enabled WBANs due to different priorities of WBAN tasks, QoS, resource availability, and contention delay. To improve the end-to-end latency, this paper proposes a fast data transfer, emergency timeslot, processing node allocation, and energy-saving-based task execution strategy (FETES) considering WBAN user's task priority, multiple tasks, resources, availability, different delays, network connectivity, and processing devices for computation offloading. The FETES scheme supports energy-saving for sensors, hubs, and network access devices. To evaluate the delay, throughput, and energy dissipation performance of the proposed FETES scheme, a comprehensive analytical model is presented. The evaluation results show the efficacy of the proposed FETES scheme.
无线体域网络(WBAN)由于其实时的医疗服务,越来越受到研究人员和患者的欢迎。移动边缘计算(MEC)可以在满足WBAN医疗保健应用的延迟需求方面发挥重要作用。由于WBAN任务、QoS、资源可用性和争用延迟的优先级不同,开发合适的计算卸载和节能方案对于启用mec的WBAN至关重要。为了改善端到端延迟,本文综合考虑WBAN用户的任务优先级、多任务、资源、可用性、不同时延、网络连通性和处理设备等因素,提出了一种快速数据传输、应急时隙、处理节点分配和基于节能的任务执行策略(FETES)。FETES方案支持传感器、集线器和网络接入设备的节能。为了评估所提出的FETES方案的延迟、吞吐量和能量耗散性能,提出了一个综合分析模型。评价结果表明了所提出的FETES方案的有效性。
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引用次数: 1
Disaster Evacuation Route Planning Strategy Based on Traffic Prediction 基于交通预测的灾害疏散路线规划策略
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.10058551
Chih Min Chao, Hsin Chung Huang
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引用次数: 0
Game-based congestion-aware routing algorithm in wireless network on chips 芯片无线网络中基于游戏的拥塞感知路由算法
IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijahuc.2023.10055687
E. Tahanian, A. Tajary, M. Rezvani
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引用次数: 0
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International Journal of Ad Hoc and Ubiquitous Computing
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