Development of a spark discharge model for predicting ignition stability in high EGR conditions in SI engines by Ryo ADACHI, Kunihiko SUGANUMA, Kenji KOIWA, Shinji NAKAYA, Fangsi REN

“…The model developed in this study combines a space potential model and a discharge path search model, which can reproduce the flame kernel behavior and EGR limits observed in experiments.…”
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Finding an Optimal Geometric Configuration for TDOA Location Systems With Reinforcement Learning by Shengxiang Li, Guangyi Liu, Siyuan Ding, Haisi Li, Ou Li

“…How to find an appropriate path to a good geometry to locate the transmitter accurately is vital in practical location tasks. …”
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Neural Network Visualization of Stochastic Dependence of Weight Gain Processes on Dairy Productivity of Cows by Nikolay Vorobyov, Marina Selina

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Optimization Algorithm of Communication Resource Allocation in a Complex Network Based on an Improved Neural Network by Haomiao Zhang, Qing Liu

“…In China’s large urban network applications, mobile phones and other networks can have problems such as reduced network efficiency when there are more access users at some communication base stations, thus affecting user network usage. …”
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Heap Optimization in A* Pathfinding for Horror Games by Risaldi Angga Buana Putra, Ary Setijadi Prihatmanto, Rahadian Yusuf, Agus Sukoco

“…To achieve this, adaptive AI—specifically for apparitions or monsters—is controlled using A*, an algorithm renowned for its efficiency in determining the shortest path. Heap optimization is introduced to enhance A* performance by reducing the time required to identify the lowest-cost node in the Open List. …”
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Multi-source information transmission and classification algorithm for equipment based on compressed sensing by Xiaohu ZHAO, Gang WANG, Boming SONG, Jiacheng YU

“…Aiming at the characteristics of various types of equipment in coal preparation plant and the dispersion of monitoring points,a multi-source information wireless transmission and classification algorithm for equipment based on compressed sensing was proposed.By constructing a multi-hop information transmission model,the information transmission problem was transformed into the compressed sensing problem of multi-path measurement signals,thereby the measurement matrix acquisition was transformed into the routing problem of the multi-hop information transmission model.Aiming at the large coherence of the obtained measurement matrix and affecting the signal reconstruction effect,the idea of random routing was introduced into the routing construction,and a random dynamic self-organizing routing algorithm was proposed.In order to solve the problem that the time domain features of the reconstructed signal were difficult to accurately classify the fault type,a new time domain feature,the total variation (TV) of the vibration signal,was introduced for the reconstructed signal,and the compensation distance estimation algorithm was adopted to verify the superiority of the introduction of indicators.The analysis of the measured data of the coal preparation plant shows that the proposed multi-source information transmission and classification algorithm can effectively improve the fault recognition accuracy under the condition of improving the real-time transmission efficiency of the monitoring data.…”
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LEO multi-service routing algorithm based on multi-objective decision making by Li YANG, Jing SUN, Cheng-sheng PAN, Qi-jie ZOU

“…In low earth orbit(LEO) satellite networks,in view of the unbalanced link resource,it's difficult to meet differentiated quality of service(QoS) requirements and easily lead to reduce the efficiency of the whole network.A routing algorithm based on multi-objective decision making was proposed which defined LEO satellite network transmission service as the delay sensitive,sensitive bandwidth and reliability sensitive three categories.It used the eigenvector method to calculate service weights,and used the consistency ratio to determine whether it can be accepted.Based on the multi-objective decision making theory,it combined with the actual state of satellite network nodes and links and the specific requirements of the business,calculating the path that meets the QoS requirements of the service,so as to realize the LEO satellite network multi objective dynamic routing optimization.Established simulation platform based on the iridium network system simulated network delay,the uncertain characteristics like the residual bandwidth and packet error rate,route planning for the randomly generated three classes of business.The simulation results show that,the algorithm not only satisfies the QoS constrain while balancing the traffic load of the satellite link effectively,but also improves the performance on the throughput.…”
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Performance Comparison of OpenMP, MPI, and MapReduce in Practical Problems by Sol Ji Kang, Sang Yeon Lee, Keon Myung Lee

“…As benchmark problems to compare those frameworks, two problems are chosen: all-pairs-shortest-path problem and data join problem. This paper presents the parallel programs for the problems implemented on the three frameworks, respectively. …”
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Multi-source information transmission and classification algorithm for equipment based on compressed sensing by Xiaohu ZHAO, Gang WANG, Boming SONG, Jiacheng YU

“…Aiming at the characteristics of various types of equipment in coal preparation plant and the dispersion of monitoring points,a multi-source information wireless transmission and classification algorithm for equipment based on compressed sensing was proposed.By constructing a multi-hop information transmission model,the information transmission problem was transformed into the compressed sensing problem of multi-path measurement signals,thereby the measurement matrix acquisition was transformed into the routing problem of the multi-hop information transmission model.Aiming at the large coherence of the obtained measurement matrix and affecting the signal reconstruction effect,the idea of random routing was introduced into the routing construction,and a random dynamic self-organizing routing algorithm was proposed.In order to solve the problem that the time domain features of the reconstructed signal were difficult to accurately classify the fault type,a new time domain feature,the total variation (TV) of the vibration signal,was introduced for the reconstructed signal,and the compensation distance estimation algorithm was adopted to verify the superiority of the introduction of indicators.The analysis of the measured data of the coal preparation plant shows that the proposed multi-source information transmission and classification algorithm can effectively improve the fault recognition accuracy under the condition of improving the real-time transmission efficiency of the monitoring data.…”
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CALCULATION SPECIFICATION OF ACOUSTIC SCREENS LOCATED IN PRODUCTION AREA by Veronika Alexandrovna Bondarenko, Igor Vladimirovich Boguslavskiy, Sergey Sergeyevich Podust

“…Acoustic screens are one of the means to provide sound insulation and noise reduction on its path fr om the source to the target point (TP, the workplace). …”
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A Novel miRNA Detection Method Using Loop-Mediated Isothermal Amplification by Saiwei Wu, Abdu Ahmed Abdullah Al-Maskri, Qun Li, Jiatong Liu, Sheng Cai

“…Therefore, this ultrasensitive miRNA-LAMP assay provides a new path for the highly sensitive quantitative analysis of miRNA, thereby bringing convenience to clinical diagnosis and prognostic research.…”
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Lightweight image super-resolution network based on muti-domain information enhancement by KOU Qiqi, LIU Gui, JIANG He, CHEN Liangliang, CHENG Deqiang

“…Initiating from three dimensions, a set of innovative techniques had been developed, including multi-path large kernel feature extraction in the spatial domain, local information enhancement attention, frequency-domain feature enhancement through frequency splitting, and transformation-domain prior-guided high-frequency feature simulation. …”
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Osmotic Injury to Porcine Oocytes during Cryoprotective Agents Addition and Removal Processes by Yang Yun, Zhou Xinli, Dai Jianjun, Zhang Defu, Yi Xingyue, Teng Yun, Tao Leren

“…In conclusion, microfluidic device can be used efficiently to load and unload of CPAs, and significantly reduce the osmotic shock to oocytes, which may open up a new path for oocyte cryopreservation.…”
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Fair Cost Allocation in Energy Communities Under Forecast Uncertainty by Michael Eichelbeck, Matthias Althoff

“…Energy communities (ECs) are an increasingly studied path toward improving prosumer coordination. A central challenge of ECs is to allocate cost savings fairly to members. …”
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IMPLEMENTING R5 AND KIVA IN WAREHOUSE MANAGEMENT A CASE EXAMPLE FOR SPAR IKEJA, NIGERIA by Justin Ogala S. EGBUNU

“…The aim of this paper is to analyze the replenishment technique for goods efficiently and effectively while using less hazardous methods and reduce the traffic of high end machinery like forklift moving product inside the control space. …”
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Urban green spaces and flood disaster management: toward sustainable urban design by Na Liu, Fang Zhang

“…Future research should focus on the synergistic effects of green infrastructure at different urban scales and explore a balanced path between urban expansion and ecological sustainability.…”
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Model for Evaluation of Aircraft Boarding Under Disturbances by Beata Płanda, Jacek Skorupski

“…Its importance derives from the fact that it is part of the critical path; that is, the time of its completion determines the aircraft’s departure time. …”
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Fuzzy Model Predictive Control for Unmanned Helicopter by Łukasz Kiciński, Sebastian Topczewski

“…The control system test results, including system step responses and performance during flight over a predefined path, highlight the differences between the conventional Model Predictive Control regulator and its fuzzy-enhanced variant.…”
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Conceptualization of a Small, Uncrewed, Microwave-Powered Aircraft by Sameep Jagtap, Maya Rahaman-Noronha, William D. Kemp, Marco A. Antoniades, Goetz Bramesfeld

“…An achieved rectifier operation efficiency of 59% is reached at this power level. A model for analyzing received power during WPT tests in flight conditions is then developed and applied for various flight paths possible with a small, electric UAV, using the designed rectenna for power conversion on the aircraft. …”
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Nanomaterials in soil science for agricultural productivity and environmental sustainability by Nikhil Kumar, Pankaj Kumar, Ramesh Chandra Dubey

“…The findings suggest that nanoparticles may enhance nutrient delivery, soil structure, and microbial activity, opening the path more sustainable agriculture methods. Furthermore, the significance of NMs to minimize soil contamination and aid in precision farming is an important feature, demonstrating their ability to solve major soil and crop management issues. …”
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