Enhancing the Security of Customer Data in Cloud Environments Using a Novel Digital Fingerprinting Technique by Nithya Chidambaram, Pethuru Raj, K. Thenmozhi, Rengarajan Amirtharajan

“…The files stored in the cloud are encrypted with RSA algorithm and digital fingerprint for the same has been generated through MD5 message digest before storage. …”
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An Optimization Method of Active Distribution Network Considering Time Variations in Load and Renewable Distributed Generation by Juan Wen, Xing Qu, Siyu Lin, Lin Ding, Lin Jiang

“…A hybrid particle swarm optimization (HPSO) algorithm is presented based on integer coding and random coding technique, which can find the most satisfactory solutions for the proposed dynamic model. …”
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Particle Filtering for Obstacle Tracking in UAS Sense and Avoid Applications by Anna Elena Tirri, Giancarmine Fasano, Domenico Accardo, Antonio Moccia

“…The particle filter algorithm was tested in off-line simulations based on data gathered during flight tests. …”
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An Optimization Method of Multiclass Price Railway Passenger Transport Ticket Allocation under High Passenger Demand by Bin Wang, Shaoquan Ni, Fucai Jin, Zixu Huang

“…And we solve this problem by constructing a particle swarm optimization algorithm. Lastly, we use examples to prove that the proposed ticket allocation method can meet the passengers’ needs and have good economic benefits.…”
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The powerless bosses: the working day experience of bicycle messengers and its impact on their identities and wellbeing by Iben Østin Hjelle, Helle Nordrum, Julian-Werner Wentzeck, Ali Teymoori

“…Results We discerned five themes related to the dynamics of autonomy versus algorithmic control, the reduction of workers’ identity to the courier role, lack of collegial bonding among bicycle messengers, physical demands and risks of the job, and the transitory nature of courier work. …”
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Network slicing resource allocation strategy based on joint optimization by Zaijian WANG, Huimin GU

“…To improve network resource utilization that was decreased by different applications with different requirements in 5G networks, a network slicing resource allocation strategy based on joint optimization was proposed, which was utilized to maximize both network resource utilization and network revenue by comprehensively considering in tra-slice and inter-slice resource schedule.Firstly, the user’s average satisfaction function was defined in the inter-slicing resource allocation problem.Furthermore, in terms of the number of users, slicing schedule delay and priority, a proportional fair resource allocation algorithm based on quality of service (QoS) was proposed, which was employed to achieve the best tradeoff between fairness and the users’ requirements among slices.Secondly, after two functions (service degradation and resource migration) were introduced in the inter-slice resource schedule problem, two price models were established for internal access users and external access users respectively, where congestion and non-congestion conditions were analyzed.According to the proposed price models, a Stackelberg game between the base station and users was constructed, and a global search algorithm with low complexity was leveraged to obtain the best response of the game, where the best tradeoff between the base station revenue and user utility was obtained.Simulation results show that the proposed strategy can effectively improve resource utilization and network revenue while reducing network congestion.Therefore, it can better realize fairness in resource allocation.…”
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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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Small Sample-Oriented Prediction Method of Mechanical Properties for Hot Rolled Strip Steel Based on Model Independent Element Learning by Hongyi Wu, Borui Zhang, Zhiwei Li

“…Linear regression, BP neural network, LASSO regression, Ridge regression, and convolutional neural network models were trained using the MAML algorithm. The experimental results show that the prediction accuracy and adaptability of models with the MAML algorithm are significantly better than traditional methods, especially in terms of rapid adjustment to maintain prediction accuracy when production conditions change. …”
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Capacity optimization of photovoltaic storage hydrogen power generation system with peak shaving and frequency regulation by Dan Yu, Peng Yang, Weijun Zhu

“…The experimental results show that this method can obtain the best capacity allocation result based on local lighting conditions and the cost of the power generation system, whereas the improved particle swarm optimization algorithm can solve the model faster and reduce the cost of the power generation system. …”
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Improved Optimization for Wastewater Treatment and Reuse System Using Computational Intelligence by Zong Woo Geem, Sung Yong Chung, Jin-Hong Kim

“…The results obtained by using an evolutionary algorithm, named a parameter-setting-free harmony search algorithm, show that the proposed model successfully finds optimal solutions while conveniently locating the critical deficit point.…”
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Prediction and design optimization of mechanical properties for rubber fertilizer hose reinforced with helically wrapped nylon by Mengfan Wang, Lixin Zhang, Changxin Fu

“…Finally, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) was employed for optimization design. …”
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Optimized Centroid-Based Clustering of Dense Nearly-square Point Clouds by the Hexagonal Pattern by Romanuke Vadim, Merinova Svitlana, Yehoshyna Hanna

“…We suggest a hexagonal-pattern-based approach to partition flat nodes into clusters quicker than the k-means algorithm and its modifications do. First, a hexagonal cell lattice is applied to nodes to approximately determine centroids of the clusters. …”
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Robust Diffeomorphic Mapping via Geodesically Controlled Active Shapes by Daniel J. Tward, Jun Ma, Michael I. Miller, Laurent Younes

“…For the landmark matching case, we demonstrate the robustness of this algorithm as applied to the workflow of a large neuroanatomical study by comparing to an existing diffeomorphic landmark matching algorithm.…”
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Positioning a Handshake Bay for Twin Stacking Cranes in an Automated Container Terminal Yard Block by Zhi-Hua Hu, Xi-Dan Tian, Yu-Qi Yin, Chen Wei

“…To solve the model, we developed a random-key genetic algorithm with a priority-based decoding scheme to optimize the task sequences and tasks assigned to the cranes. …”
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Transmitter and receiver design for integrated full‐duplex multiple‐input‐multiple‐output communication and multiple‐input‐multiple‐output radar system by Shengnan Shi, Zishu He, Ziyang Cheng

“…Then, for one of the sub‐problems that is still intractable, its solution is iteratively obtained based on the fractional programing technique and the consensus alternating direction method of multipliers algorithm. In the simulation part, the convergence performance and computational efficiency of the proposed algorithm are illustrated. …”
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Analysis of Emotional Stress of Teachers in Japanese Teaching Process Based on EEG Signal Analysis by Jie Dong

“…The feature selection algorithm was used to screen the EEG feature combinations of teachers’ emotional stress relief and healthy subjects, and the classification experiment was carried out to verify the difference. …”
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Shape Prior Embedded Level Set Model for Image Segmentation by Wansuo Liu, Dengwei Wang, Wenjun Shi

“…The extensive experiments on a large variety of synthetic and real images show that the proposed algorithm achieves excellent performance. In addition, several key factors affecting the performance of the proposed algorithm are analyzed in detail.…”
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Synthesis of a Transfer Function With Real Poles From Tabulated Frequency Response Data for Transmission-Line Impedance Modeling by Taku Noda

“…This paper proposes an algorithm to synthesize a transfer function only with real poles from tabulated frequency response data for TL impedance modeling. …”
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Evaluation Method of Regional Water Resources Carrying Capacity Based on Connection Number by DONG Tao

“…,carrying ability system,carrying pressure system and regulation ability system),calculates the subjective weights of evaluation indexes by correcting analytic hierarchy process based on accelerating genetic algorithm (AGA-CAHP),the objective weights of evaluation indexes by projection pursuit based on accelerating genetic algorithm (AGA-PP) and the combined weights of evaluation indexes by the principle of minimum relative information entropy,obtains the connection number of regional water resources carrying capacity by improved set pair analysis based on grey correlation analysis,and then establishes a set pair analysis evaluation model for regional water resources carrying capacity based on entropy principles,combined weights and grey correlation analysis,and finally applies the model in Anhui Province.The results show that the water resources carrying capacity of Anhui Province was in the critical overload from 2005 to 2015,while that was gradually increasing from 2012 to 2015,with the southern region stronger than the northern region.The evaluation results accorded with the actual situation.Therefore,the model can fully integrate the subjective experience information and objective information in the evaluation process,with reasonable results.It has great application value in the comprehensive evaluation of regional resources and environmental carrying capacity.…”
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Deep-learning-assisted reconfigurable metasurface antenna for real-time holographic beam steering by Ma Hyunjun, Kim Jin-Soo, Choe Jong-Ho, Park Q-Han

“…Instead of iteration, we adopt a deep learning algorithm that combines an autoencoder with an electromagnetic scattering equation to determine the states required for a target far-field pattern in real-time. …”
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