17 papers · ranked by Valyu relevance
Yang Gao, Liang Cheng, Muhammad Suhail
Optimizing oil and gas production is of paramount importance in the petroleum sector, as it ensures the economic success of oil companies and meets the growing global demand for energy. The optimization of subsurface oil and gas production is critical for decision-makers, as it determines essential strategies like…
Rubin Luo, Hongxing Zheng, Jifeng Guo
The complexity of unmanned aerial vehicle (UAV) missions is increasing with the rapid development of UAV technology. Multiple UAVs usually cooperate in the form of teams to improve the efficiency of mission execution. The UAVs are equipped with multiple sensors with complementary functions to adapt to the complex…
Huajuan Huang, Dao Tao, Xiuxi Wei, Yongquan Zhou + 1 more
Due to the traditional use of manual methods for the parameter adjustment of a nonlinear beta transform, which is inefficient and unstable, an adaptive image enhancement algorithm based on a variable step size fruit fly optimization algorithm and a nonlinear beta transform is proposed. Utilizing the intelligent…
Jie Zhou, Xiaoming Guo, Zhijian Wang, Wenhua Du + 7 more
'Xiaofeng Han' 'Jingtai Wang' 'Gaofeng He' 'Huihui He' 'Huiling Xue' 'Yanfei Kou'] In recent years, a new method of fault diagnosis, named variational mode decomposition (VMD), has been widely used in industrial production, but the decomposition accuracy of VMD is determined by two parameters, which are respectively…
Miao Wan, Zhongbin Wang, Lei Si, Chao Tan + 1 more
The shearer is one of the core equipment of the fully mechanized coal face. The fast and accurate positioning of the shearer is the prerequisite for its memory cutting, intelligent height adjustment, and intelligent speed adjustment. Inertial navigation technology has many advantages such as strong autonomy, good…
Fei Ye, Xin Yuan Lou, Lin Fu Sun, Wen-Bo Du
This paper proposes a new support vector machine (SVM) optimization scheme based on an improved chaotic fly optimization algorithm (FOA) with a mutation strategy to simultaneously perform parameter setting turning for the SVM and feature selection. In the improved FOA, the chaotic particle initializes the fruit fly…
Uche Onyekpe, Stratis Kanarachos, Michael E. Fitzpatrick
In recent years, researchers have presented various optimisation algorithms for truss design. The "no free lunch" theorem implies that no optimisation algorithm fits all problems; therefore, the interest is not only in their accuracy and convergence rate but also the tuning effort and population size to achieve the…
Weiheng Jiang, Xiaogang Wu, Yi Gong, Wanxin Yu + 1 more
The electricity consumption forecasting is a critical component of the intelligent power system. And accurate monthly electricity consumption forecasting, as one of the the medium and long term electricity consumption forecasting problems, plays an important role in dispatching and management for electric power…
Kenichi Iwasaki, Charles Neuhauser, Chris Stokes, Aleksandr Rayshubskiy
Engineering small autonomous agents capable of operating in the microscale environment remains a key challenge, with current systems still evolving. Our study explores the fruit fly, Drosophila melanogaster, a classic model system in biology and a species adept at microscale interaction, as a biological platform for…
Mazarin Akami, Xueming Ren, Yaohui Wang, Abdelaziz Mansour + 4 more
The ability of a host plant to act as a substrate or media for larval development may depend on how good it is at offering suitable nutrients for bacterial growth. In this study, we hypothesized that the suitability of a fruit type for fruit fly larval development is positively correlated with the ability of that fruit…
Alexandra H. Keene-Snickers, Tillie J. Dunham, Mark D. Stenglein
Drosophila melanogaster, the common fruit fly, has been instrumental to our understanding of evolution, genetics and disease. There are benefits to studying these flies in the wild, including assessment of their naturally occurring microbiota. To facilitate efforts to catch wild D. melanogaster, we designed two fly…
Vikram Bhattacharjee, Debanjan Chatterjee, Orkun Karabaşoğlu
This study proposes a control strategy for the efficient semi active suspension systems utilizing a novel hybrid PIDfuzzy logic control scheme .In the control architecture, we employ the Chaotic Fruit Fly Algorithm for PID tuning since it can avoid local minima by chaotic search. A novel linguistic rule based fuzzy…
Wael Salem, Benjamin Cellini, Eric Jaworski, Jean-Michel Mongeau
Animal locomotion is highly adaptive, displaying a large degree of flexibility, yet how this flexibility arises from the integration of mechanics, sensing and neural control remains elusive. For instance, animals require flexible strategies to maintain performance as changes in mass or inertia impact stability.…
Shyam Sunder Nishad, Anupam Saxena
Rigid link flapping mechanisms remain the most practical choice for flapping wing micro-aerial vehicles (MAVs) to carry useful payloads and onboard batteries for free flight due to their long-term durability and reliability. However, to achieve high agility and maneuverability—like insects—MAVs with these mechanisms…
Eliezer Soares Flores, Harley Vera Olivera, Ivan Cesar Medrano Valencia, Carlos Fernando Montoya Cubas
Transfer Learning Authors: ['Eliezer Soares Flores' 'Harley Vera Olivera' 'Ivan Cesar Medrano Valencia' 'Carlos Fernando Montoya Cubas'] This study develops a transfer learning model for the automated classification of two species of fruit flies, Anastrepha fraterculus and Ceratitis capitata, in a controlled laboratory…
Mahfuza Momen, Md. Aftab Hossain, Kajla Seheli, Md. Forhad Hossain + 1 more
Fruit flies belonging to Tephritidae family are highly destructive agricultural pests, posing a significant threat to various fruits and vegetables grown in Bangladesh. A comprehensive year-round survey was conducted at Atomic Energy Research Establishment (AERE) campus located in the central region of Bangladesh.…
Danping Zou, Yan Qiu Chen
—This paper addresses the problem of reconstructing the motion trajectories of the individuals in a large collection of flying objects using two temporally synchronized and geometrically calibrated cameras. The 3D trajectory reconstruction problem involves two challenging tasks - stereo matching and temporal tracking.…