Modeling the Heterodyne Efficiency of Array Detector Systems in the Presence of Target Speckle by Yutao Liu, Xiaodong Zeng, Changqing Cao, Zhejun Feng, Zhi Lai, Zhaojin Fan, Ting Wang, Xu Yan, Shuanglin Fan

Get full text

STUDY AND OPTIMIZATION OF EFFICIENCY AND DURABILITY COMBINED TOOL CORE DRILL-TAP by L. M. Aliomarov, N. M. Vagabov, A. Z. Kurbanov

Get full text

An Efficient Density-Based Local Outlier Detection Approach for Scattered Data by Shubin Su, Limin Xiao, Li Ruan, Fei Gu, Shupan Li, Zhaokai Wang, Rongbin Xu

“…Finally, an efficient local outlier detection approach named as efficient density-based local outlier detection for scattered data (E2DLOS) is proposed based on the LDC and RCMLQ. …”
Get full text

Development of a Next-Generation Cooling Channel Technology with High Cooling Efficiency by Roughing Cooling Channels Using a Combination of Laser Machining and Embossing Techniques by Chil-Chyuan Kuo, Geng-Feng Lin, Armaan Farooqui, Song-Hua Huang, Shih-Feng Tseng

Subjects: Get full text

A Novel Research on Rough Clustering Algorithm by Tao Qu, Jinyu Lu, Hamid Reza Karimi, E Xu

“…Experiments reveal that the proposed algorithm is efficient and feasible.…”
Get full text

Covering-Based Rough Sets on Eulerian Matroids by Bin Yang, Ziqiong Lin, William Zhu

“…Rough set theory is an efficient and essential tool for dealing with vagueness and granularity in information systems. …”
Get full text

Influence of wall roughness on two-phase displacement by LI Dajun, LI Xiaoyan, SUN Hai, ZHANG Lei, XU Chao

“…The results show that the existence of wall roughness will greatly increase the two-phase flow resistance, promote the occurrence of fingering problem, and reduce the displacement efficiency.…”
Get full text

Optimizing WEDM Parameters Using Swarm Intelligence: A Multi‐Objective Approach to Improve Machinability and Cost‐Efficiency by Abhijit Bhowmik, Raman Kumar, Nikunj Rachchh, T. Ramachandran, A. Karthikeyan, Rahul Singh, Deepak Gupta, Dhirendra Nath Thatoi, Bhavik Jain, A. Johnson Santhosh

“…The results demonstrate that the PSO model significantly enhances machining performance by reducing surface roughness and increasing material removal rate (MRR), showcasing marked improvements in efficiency. …”
Get full text

Enhancing HEVC Efficiency: A Novel Approach to Intra-Mode Estimation Through Hadamard Cost Analysis by Junaid Tariq, Imran Javed, Touseef Sadiq, Hameedur Rahman, Ashfaq Hussain Farooqi, Amir Ijaz

Get full text

Size effect on the fracture resistance of rough and frictional cracks by Andrea Spagnoli, Andrea Carpinteri, Michele Terzano

“…Elastic fracture mechanics commonly defines the fracture resistance of brittle materials within an idealized picture of planar and traction-free cracks. An efficient approach to describe the interface conditions in real cracks, such as those occurring in concrete, ceramics or stones, is to include the effect of both roughness and friction by means of a constitutive relationship between opposite points on the interface. …”
Get full text

Turbidity removal: Gravel and charcoal as roughing filtration media by Onyeka Nkwonta, Olufisayo Olufayo, George Ochieng, Josiah Adeyemo, Fred Otieno

“…Roughing filtration is an important pre-treatment process for wastewater, because it efficiently separates fine solid particles over prolonged periods, without the addition of chemicals. …”
Get full text

Application of Vehicle Mounted Accelerometers to Measure Pavement Roughness by Yuchuan Du, Chenglong Liu, Difei Wu, Siyu Li

“…To enhance the efficiency of pavement roughness measurement and reduce the cost, an integrated and wireless transfer based measuring system was developed. …”
Get full text

Parameter Optimization of Milling Process for Surface Roughness Constraints by GUO Bin, YUE Caixu, ZHANG Anshan, JIANG Zhipeng, YUE Daxun, QIN Yiyuan

“… In the milling process of 6061 aluminum considering the requirement of controlling the surface roughness of workpiece, artificially selected milling parameters may be conservative, resulting in low material removal rate and high manufacturing cost.Taking the surface roughness as the constraint condition and the maximum material removal rate as the goal, the surface roughness regression model is established based on extreme gradient boosting (XGBOOST) with the spindle speed, feed speed and cutting depth as the optimization objects.The milling parameters of spindle speed, feed speed and cutting depth are optimized by genetic algorithm.The optimal milling parameters are obtained by using the multi objective optimization characteristics of genetic algorithm.It can be seen from the four groups of optimization results that the maximum change of surface roughness is only 0.048μm, while the minimum material removal rate increases by 2458.048mm3/min.While achieving surface roughness, the processing efficiency is improved, and the manufacturing costs are reduced, resulting in good optimization effects, which has a certain guiding role in the actual processing.…”
Get full text

Dual Model for International Roughness Index Classification and Prediction by Noelia Molinero-Pérez, Laura Montalbán-Domingo, Amalia Sanz-Benlloch, Tatiana García-Segura

“…Existing models for predicting the international roughness index (IRI) of a road surface often lack adaptability, struggling to accurately reflect variations in climate, traffic, and pavement distresses—factors critical for effective and sustainable maintenance. …”
Get full text

Surface roughness and material removal of Si3N4 cylindrical rollers using double-side grinding with diamond film pads by Fenfen Zhou, Yongkang Jin, Qi Shao, Weifeng Yao, Hongyun Wang

Subjects: Get full text

Polypropylene/myristic acid assisted electrodeposition of eco-friendly micro-engineered copper superhydrophobic coating for enhancing hydrophobicity and anti-corrosion efficiency o... by Himanshu Prasad Mamgain, Krishna Kanta Samanta, Rajeev Gupta, Ranjeet Brajpuriya, Pravat Ranjan Pati, Jitendra Kumar Pandey, Abhijit Bhowmik, Abdulaziz AlHazaa

“…The enhanced corrosion resistance is due to the rough structure, which reduces electrolyte contact and minimises the surface area exposed to the electrolyte. …”
Get full text

A Granular Reduction Algorithm Based on Covering Rough Sets by Tian Yang, Zhaowen Li, Xiaoqing Yang

“…The granular reduction is to delete dispensable elements from a covering. It is an efficient method to reduce granular structures and get rid of the redundant information from information systems. …”
Get full text

Rough decision rules extraction and reduction based on granular computing by Hong-can YAN, Feng ZHANG, Bao-xiang LIU

“…Rule mining was an important research content of data mining,and it was also a hot research topic in the fields of decision support system,artificial intelligence,recommendation system,etc,where attribute reduction and minimal rule set extraction were the key links.Most importantly,the efficiency of extraction was determined by its application.The rough set model and granular computing theory were applied to the decision rule reduction.The decision table was granulated by granulation function,the grain of membership and the concept granular set construction algorithm gener-ated the initial concept granular set.Therefore,attribute reduction could be realized by the distinguish operator of concept granule,and decision rules extraction could be achieved by visualization of concept granule lattice.Experimental result shows that the method is easier to be applied to computer programming and it is more efficient and practical than the existing methods.…”
Get full text

Scream’s roughness grants privileged access to the brain during sleep by Guillaume Y. T. Legendre, Maëva Moyne, Judith Domínguez-Borràs, Samika Kumar, Virginie Sterpenich, Sophie Schwartz, Luc H. Arnal

“…Screaming is perhaps the most efficient way for communicating danger at a distance or in conditions of limited visibility. …”
Get full text

Rough-Terrain Path Planning Based on Deep Reinforcement Learning by Yufeng Yang, Zijie Zhang

“…For the problem of the low exploration efficiency of the ε-greedy strategy, a hybrid exploration strategy combining stochastic exploration and the A* algorithm is proposed, after which the agent is trained on rough terrain. …”
Get full text