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Fatma S. Alrayes, Jaber S. Alzahrani, Khalid A. Alissa, Abdullah Alharbi, Hussain Alshahrani, Mohamed Ahmed Elfaki, Ayman Yafoz, Abdullah Mohamed and Anwer Mustafa Hilal
Over the last few years, unmanned aerial vehicles (UAV), also called drones, have attracted considerable interest in the academic field and exploration in the research field of wireless sensor networks (WSN). Furthermore, the application of drones aided ...
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Ahmed A. Al-Saedi, Veselka Boeva and Emiliano Casalicchio
Federated Learning (FL) provides a promising solution for preserving privacy in learning shared models on distributed devices without sharing local data on a central server. However, most existing work shows that FL incurs high communication costs. To ad...
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S. Pradeep, Yogesh Kumar Sharma, Chaman Verma, Surjeet Dalal and Cvpr Prasad
Wireless sensor networks (WSNs) are a comparatively new revolutionary technology that has the potential to revolutionize how we live together with the present system. To enhance data archiving, WSNs are frequently used in scientific studies. Many applica...
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Judith Rosenow, Gong Chen, Hartmut Fricke, Xiaoqian Sun and Yanjun Wang
Air traffic trajectory optimization is a complex, multidimensional and non-linear optimization problem and requires a firm focus on the essential criteria. The criteria cover operational, economical, environmental, political, and social factors and diffe...
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Mahsa Nazeriye, Abdorrahman Haeri and Francisco Martínez-Álvarez
Human living could become very difficult due to a lack of energy. The household sector plays a significant role in energy consumption. Trying to optimize and achieve efficient energy consumption can lead to large-scale energy savings. The aim of this pap...
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Cheng Li, Baolong Guo, Geng Wang, Yan Zheng, Yang Liu and Wangpeng He
Superpixels intuitively over-segment an image into small compact regions with homogeneity. Owing to its outstanding performance on region description, superpixels have been widely used in various computer vision tasks as the substitution for pixels. Ther...
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Xingxing Xiao and Haining Huang
Because of the complicated underwater environment, the efficiency of data transmission from underwater sensor nodes to a sink node (SN) is faced with great challenges. Aiming at the problem of energy consumption in underwater wireless sensor networks (UW...
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Soobin Jeon
In the Internet of Things (IoT), the scope of wireless sensor nodes is extended to things deployed in a pervasive world. For various IoT service applications, things can gather and share their information with each other through self-decision-making. The...
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Dario Cottafava, Giulia Sonetti, Paolo Gambino and Andrea Tartaglino
We propose a simple tool to help the energy management of a large building stock defining clusters of buildings with the same function, setting alert thresholds for each cluster, and easily recognizing outliers. The objective is to enable a building mana...
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Basim Abood, Aliaa Hussien, Yu Li, Desheng Wang
Pág. 2641 - 2656
The most important consideration in designing protocols for wireless sensor networks is the energy constraint of nodes because in most cases battery recharging is inconvenient or impossible. Therefore, many researches have been done to overcome this deme...
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Isabel Santiago, Jorge Luis Esquivel-Martin, David Trillo-Montero, Rafael Jesús Real-Calvo and Víctor Pallarés-López
In this work, the automatic classification of daily irradiance profiles registered in a photovoltaic installation located in the south of Spain was carried out for a period of nine years, with a sampling frequency of 5 min, and the subsequent analysis of...
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Libero Nigro and Franco Cicirelli
K-Means is a ?de facto? standard clustering algorithm due to its simplicity and efficiency. K-Means, though, strongly depends on the initialization of the centroids (seeding method) and often gets stuck in a local sub-optimal solution. K-Means, in fact, ...
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Tran Dinh Khang, Nguyen Duc Vuong, Manh-Kien Tran and Michael Fowler
Clustering is an unsupervised machine learning technique with many practical applications that has gathered extensive research interest. Aside from deterministic or probabilistic techniques, fuzzy C-means clustering (FCM) is also a common clustering tech...
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Seong Kyung Kwon, Hojin Jung and Kyoung-Dae Kim
Despite recent advances in technologies for intelligent transportation systems, the safety of intersection traffic is still threatened by traffic signal violation, called the Red Light Runner (RLR). The conventional approach to ensure the intersection sa...
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Alena N. Dyrdonova
Pág. 243 - 248
In the current environment, clustering of the economy represents a key factor in improving the competitive ability of the business entities functioning within the area whilst enhancing the interconnections between them and giving a new impulse to develop...
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Lev Kazakovtsev, Ivan Rozhnov and Guzel Shkaberina
The continuous p-median problem (CPMP) is one of the most popular and widely used models in location theory that minimizes the sum of distances from known demand points to the sought points called centers or medians. This NP-hard location problem is also...
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Ping Hu, Na Chen, Yongjun Li and Qiwei Xie
Due to the large volume of sewage in China, the efficiency of water consumption evaluated by the traditional model may be inaccurate. This paper evaluates the water consumption efficiency more scientifically. First, this paper uses the CCR model to evalu...
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Haijun Liang, Shiyu Zhang and Jianguo Kong
The air traffic control (ATC) network?s airspace sector is a crucial component of air traffic management. The increasing demand for air transportation services has made limited airspace a significant challenge to sustainable and efficient air transport o...
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Sergii Babichev, Lyudmyla Yasinska-Damri, Igor Liakh and Jirí ?kvor
The development of hybrid models focused on gene expression data processing for the allocation of differentially expressed and mutually correlated genes is one of the current directions in modern bioinformatics. The solution to this problem can allow us ...
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Hao-xuan Chen, Fei Tao, Pei-long Ma, Li-na Gao and Tong Zhou
Spatial analysis is an important means of mining floating car trajectory information, and clustering method and density analysis are common methods among them. The choice of the clustering method affects the accuracy and time efficiency of the analysis r...
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