Epidemiology of community-acquired pneumonia among hospitalised children in Indonesia: a multicentre, prospective study by Rina Triasih, Yan Mardian, Dewi Lokida, Helmia Farida, Herman Kosasih, Adhella Menur Naysilla, Arif Budiman, Chakrawati Hayuningsih, Moh Syarofil Anam, Dwi Wastoro, Mujahidah Mujahidah, Setya Dipayana, Amalia Setyati, Abu Tholib Aman, Nurhayati Lukman, Muhammad Karyana, Ahnika Kline, Aaron Neal, Chuen-Yen Lau, Clifford Lane

“…We applied a previously published algorithm (PEER-PePPeS rules) to determine the causative pathogen(s).Results 188 subjects were enrolled. …”
Get full text

A Robust and Space-Efficient Stack Management Method for Wireless Sensor Network OS with Scarce Hardware Resources by Seokhwan Kim, Seungku Kim, Doo-Seop Eom

“…When the memory state is unsafe from the saturated condition, it conditionally allows function calls to operate tasks without any memory fault by using the proposed function call deferring algorithm. From the analytical and experiment results, it is proven that the performance of RESM outperforms the other mechanisms and RESM can provide more robust stack operation environment.…”
Get full text

Discussion on Artificial Intelligence Safety and Ethical Issues by Chen Xinyu, Hui Tianfang, Li Yanlin, Yang Haoyuan

“…Regarding ethical considerations, this paper identifies the origins of algorithmic bias and argues for mitigating it through rigorous testing, validation, and regulatory frameworks. …”
Get full text

ANALYSIS SCHEME FOR MULTI-FAULTS VIBRATION OF GEARBOX BASED ON DISCRETE RANDOM SEPARATION by HE DongTai, GUO Yu, WU Xing, LIU ZhiQi, ZHAO Lei

“…In the proposed method, the resonance parameters of the gearbox vibration is obtained based on the fast kurtogram algorithm at first, built a bandpass filter that included resonance parameters, and the envelope is extracted by Hilbert transform. …”
Get full text

Communication Network for Sports Activity Monitoring Systems by Yuhua Li, Lishuang Wan, Haimin Zhang

“…And, a power allocation algorithm based on maximum ratio merging and wireless cognitive network is proposed, which puts forward a new idea for the future research of wireless body area network resource allocation.…”
Get full text

Robust optimization of air based relay for internet of things based on UAV by Wei WANG, Renqian GU, Li3 PENG, Jijun ZHAO, Zhongcheng WEI, Cunxi CHANG

“…Faced with the need of key regional information transmission in the emergency situation where the perception network lacks of ground base stations, considered about the uncertainty of spatial positioning of emergency internet of things (eIoT) nodes, a robust optimization method for air-based relay of eIoT based on unmanned aerial vehicle (UAV) was proposed.Firstly, the system modeling of this kind of eIoT was carried out.Secondly, according to the fact that the non-convex and nonlinear model has a great correlation with the positioning accuracy of the ground-based eIoT equipment and the tiny disturbance of the positioning information can lead to the invalid solution of the model, the system model was relaxed and the uncertainty description of the location data of the eIoT equipment was introduced, Then the robust equivalent model of the low altitude UAV relay communication power optimization problem was obtained.Thirdly, the model solving algorithm was given.Finally, the effectiveness and robustness of the proposed method were verified from the deployment of UAV and communication energy consumption.At the same time, the factors effecting the effectiveness of the proposed method were analyzed.…”
Get full text

Model Reduction Using Proper Orthogonal Decomposition and Predictive Control of Distributed Reactor System by Alejandro Marquez, Jairo José Espinosa Oviedo, Darci Odloak

“…This operating condition is determined by means of an optimization algorithm that provides the optimal temperature and concentration profiles for the system. …”
Get full text

Beef Quality Identification Using Thresholding Method and Decision Tree Classification Based on Android Smartphone by Kusworo Adi, Sri Pujiyanto, Oky Dwi Nurhayati, Adi Pamungkas

“…Classification was carried out using the decision tree algorithm and the best accuracies were obtained at 90% for training and 84% for testing. …”
Get full text

High-resolution manometry in diagnostics and evaluation of therapy effectiveness in patients with eosinophilic esophagitis – underestimated breakthrough or dead end? by Joanna A. Sarbinowska, Dorota Waśko-Czopnik

“…The observed increase of EoE rate, its chronic and recurrent character, as well as invasive follow-up examination (periodical panendoscopy with specimen collection for histopathology), compel optimization of both the diagnostics algorithm and disease monitoring through searching for new, unique methods and tools so far not applied, including high-resolution manometry (HRM). …”
Get full text

The correlation of personal characteristics and professional value orientations of representatives of the socionomical sphere of employment by Natalya А. Samoylik

“…Employees of the social field with a cognitive type of profes- sional value orientations have spontaneity, which is expressed in the absence of a clear algorithm of job responsibilities, due to the lack of strict requirements for the implementation of the process of interpersonal interaction. …”
Get full text

Vibration Fatigue Life Prediction and Parameter Optimization of Roadheader Picks by He Yang, Li Xiaohuo, Xi Yabing

“…The corner of the pick is defined as the optimization objective based on particle swarm optimization algorithm, the optimal corner value is obtained, and the life of the picks is increased by an order of magnitude. …”
Get full text

FAULT DIAGNOSIS METHOD OF AIRBORNE FUEL PUMP BASED ON CEEMD SHANNON ENTROPY AND GAPSO-SVM by BAO Jie, JING Bo, JIAO XiaoXuan, ZHANG QingYi, ZHANG Yu

“…Compared with BP neural network, SVM optimized by particle swarm optimization（PSO） and SVM optimized by genetic algorithm（GA）, the results showed that the model of SVM diagnosis optimized by GA has the advantages of fast training, high accuracy and short time-effect, and it has good engineering application value.…”
Get full text

A GPU-accelerated fuzzy method for real-time CT volume filtering. by Celia Tendero Delicado, Mónica Chillarón Pérez, Josep Arnal García, Vicent Vidal Gimeno, Esther Blanco Pérez

“…In terms of quality the filter is competitive with other state of the art algorithmic and AI filters. The proposed method obtains good performance in terms of quality and the parallelization results in real-time filtering.…”
Get full text

A Vehicle Parking Detection Method Based on Correlation of Magnetic Signals by Hongmei Zhu, Fengqi Yu

“…One of the primary factors that affect the accuracy of the NCC-based detection is the choice of reference which is obtained by using a k -means clustering algorithm in this paper. Compared with the-state-of-the-art vehicle detection methods, the proposed method is competitive in terms of cost, accuracy, and complexity. …”
Get full text

Node selection method in federated learning based on deep reinforcement learning by Wenchen HE, Shaoyong GUO, Xuesong QIU, Liandong CHEN, Suxiang ZHANG

“…To cope with the impact of different device computing capabilities and non-independent uniformly distributed data on federated learning performance, and to efficiently schedule terminal devices to complete model aggregation, a method of node selection based on deep reinforcement learning was proposed.It considered training quality and efficiency of heterogeneous terminal devices, and filtrate malicious nodes to guarantee higher model accuracy and shorter training delay of federated learning.Firstly, according to characteristics of model distributed training in federated learning, a node selection system model based on deep reinforcement learning was constructed.Secondly, considering such factors as device training delay, model transmission delay and accuracy, an optimization model of accuracy for node selection was proposed.Finally, the problem model was constructed as a Markov decision process and a node selection algorithm based on distributed proximal strategy optimization was designed to obtain a reasonable set of devices before each training iteration to complete model aggregation.Simulation results demonstrate that the proposed method significantly improves the accuracy and training speed of federated learning, and its convergence and robustness are also well.…”
Get full text

A Cable Defect Assessment Method Based on a Mixed-Domain Multi-Feature Set of Overall Harmonic Signals by Ruidong Wang, Ruzheng Pan

“…To optimize the assessment performance, a Support Vector Machine (SVM) classifier optimized by the Sparrow Search Algorithm (SSA) was constructed. The results show that different defects lead to significantly differentiated harmonic distortions in the grounding currents, which has proved to be a reliable data basis for cable defect assessment. …”
Get full text

Kinematic Analysis and Optimization Design of 2-CPR/UPU Three Translation Parallel Mechanism by Li Lihong, Zhang Fahai, Zhu Lei

“…Finally, the global dexterity of the mechanism is taken as the target of configuration optimization and the optimization of size parameters is carried out by the grasshopper optimization algorithm(GOA). It provides theoretical reference for the structural design and high precision position control of the parallel mechanism.…”
Get full text

High-Voltage Topological Architecture-Based Energy Management Strategy of the Plug-In Hybrid Powertrain System by Ziliang Zhao, Jun Zhao, Bin Guo, Rifei Lai

“…Energy management is the core algorithm of hybrid electric vehicle control strategy, and it is the focus of current research. …”
Get full text

Fuzzy Robust Modification Design of EMU Transmission Gear by Ziqiang Sheng, Yuedong Wang, Xiaoning Bai, Shenxuan Wang

“…On this basis， the fuzzy theory is introduced， the mathematical model of gear modification robust optimization is established based on improved tolerance model， the NSGA-III algorithm is used to find the optimal solution， and the comparison with other modification schemes is completed. …”
Get full text

Adaptive Controller Design for Improving Helicopter Flying Qualities by Wei Wu

“…In online system identification module, a recursive extended least squares algorithm is established to identify the augmented linear flight dynamics model which is composed of helicopter model and unideal noise model. …”
Get full text