Total Productive Maintenance Analysis of The Oven Machine Using Overall Equipment Effectiveness Method by Muhammad Azyumiardi Azra, Khusna Dwijayanti

“…The products of this company are various bread such as Bakpia Green Bean and Bakpia Green Coconut. The problem that occurs in the company is the low efficiency of bakpia bread production, caused by the large number of machine breakdowns so that the optimal level of machine productivity is not achieved. …”
Get full text

AN ALGORITHM FOR GENERATING WORD LISTS WITH A SPECIFIED BIGRAM DISTRIBUTION FOR KEYSTROKE DYNAMICS BIOMETRIC TEMPLATE REGISTRATION by Evgeniy V. Shklyar

“…The paper proposes a solution to the problem of ensuring the possibility of obtaining identical sets of bigrams contained in different word sets. …”
Get full text

Hierarchical clustering methods in a task to find abnormal observations based on groups with broken symmetry by A. N. Kislyakov, S. V. Polyakov

“…Clustering quality is evaluated based on the sum of squares of metric distances between objects within the cluster and the average width of the silhouette. These indicators allow you to select the optimal number of clusters and evaluate the quality of the split results. …”
Get full text

To associate or not to associate? A user-based threshold scheme for 5G and beyond networks by Naor Zohar

“…This study suggests a UE-based threshold scheme for load-aware UA that is suitable for B5G networks. Since the optimal UA problem is known to be NP-hard, we suggest a heuristic mechanism, that is sufficiently simple and reliable to be implemented in practice, yet sufficiently efficient to significantly outperform the existing UA mechanism. …”
Get full text

Thermo-hydraulic performance of concentric tube heat exchangers with turbulent flow: Predictive correlations and iterative methods for pumping power and heat transfer by Samer Ali, Chadi Nohra, Jalal Faraj, Talib Dbouk, Mahmoud Khaled

“…This research addresses the problem of predicting the thermo-hydraulic performance of concentric tube heat exchangers (CTHE) under turbulent flow conditions, a critical aspect in energy-efficient industrial systems such as HVAC, power generation, and chemical processing. …”
Get full text

BPDM-GCN: Backup Path Design Method Based on Graph Convolutional Neural Network by Wanwei Huang, Huicong Yu, Yingying Li, Xi He, Rui Chen

“…To address the problems of poor applicability of existing fault link recovery algorithms in network topology migration and backup path congestion, this paper proposes a backup path algorithm based on graph convolutional neural to improve deep deterministic policy gradient. …”
Get full text

Dual-robot formation transport in random environment and narrow restricted area via improved DDPG navigation by Liang Tang, Ronggeng Ma, Bowen Chen, Yisen Niu

“…The method aimed at generating optimized navigation paths for leader–follower robot formations to complete tasks such as moving objects, designing swap decision reward function for DDPG to resolving the problem of blocked exits in narrow areas. …”
Get full text

Enhancing Tire Condition Monitoring through Weightless Neural Networks Using MEMS-Based Vibration Signals by Siddhant Arora, Sridharan Naveen Venkatesh, Vaithiyanathan Sugumaran, Anoop Prabhakaranpillai Sreelatha, Vetri Selvi Mahamuni

“…This approach yields a variety of features, such as autoregressive moving average (ARMA), statistical and histogram features. …”
Get full text

Compressive Test Characteristics and Constitutive Relationship of Wet Polypropylene Macrofiber-Reinforced Shotcrete by Fenghui Li, Yunhai Cheng, Fei Wu, Chang Su, Gangwei Li

“…Shotcrete is often subject to poor ductility and cracking problems, particularly under high stresses. In order to deal with these issues, the feasibility of adding polypropylene macrofibers to shotcrete was verified. …”
Get full text

Diagnosis of abnormal sound in loudspeakers by integrated attention mechanism convolutional neural network by ZHOU Jinglei, WANG Xiaoming, LI Limin

“…In response to the problem of the non-linear, non-stationary nature of speaker abnormal sound, as well as their susceptibility to external noise interference, and the low recognition rates, a speaker abnormal sound classification method with variational mode decomposition (VMD) and 1D convolutional recurrent attention network (1DCNN-BiLSTM-Attention) was proposed. …”
Get full text

A reposition algorithm for e-hailing based on quantum annealing and intuitive reasoning by Chao Wang, Yiyun Shi, Sumin Wang

“…In summary, the proposed architecture effectively solves the e-hailing reposition problem, offering new directions for robust artificial intelligence in big data decision problems.…”
Get full text

Interference Management in UAV-Assisted Multi-Cell Networks by Muchen Jiang, Honglin Ren, Yongxing Qi, Ting Wu

“…., improve coverage or collect data from sensor devices. The problem at hand is to optimize the (i) sub-carrier assigned to a cell or base station, (ii) position of each UAV, and (iii) transmit power of the following nodes: base stations and UAVs. …”
Get full text

Clinico-psycological characteristics of schizoaffective disorder remission in the context of pathopersonological transformations in the post-manifestation period (a clinical-etholo... by M. Ye. Khomitskyi

“…Timely diagnosis in the period of remission in schizoaffective disorder (SAD) with a high degree of confidence through the clinical-ethological approach, as well as the ability to quantify the dynamics of psychopathological disorders is a promising direction of modern psychiatry. A solution to this problem would provide an opportunity to optimize therapeutic and rehabilitation measures, thereby improving the quality of life for patients and their families. …”
Get full text

Interference Mitigation in mmWave Heterogeneous Cloud-Radio Access Network: For Better Performance and User Connectivity by Najwan M. Swadi, Firas A. Sabir, Hamed S. Al-Raweshidy

“…The proposed User-RRH association sub problem scheme that based on minimum path loss as a basic criterion outperforms on Limited Capacity User-RRH Association scheme (LC UA) in both the random and edge deployment scenarios and yield increasing in average throughput by approximately 38% and 27%, respectively. …”
Get full text

A Distributed Cooperative Anti-Windup Algorithm Improving Voltage Profile in Distribution Systems with DERs’ Reactive Power Saturation by Giovanni Mercurio Casolino, Giuseppe Fusco, Mario Russo

“…This paper proposes a Distributed Cooperative Algorithm (DCA) that solves the windup problem caused by the saturation of the Distributed Energy Resource (DER) PI-based control unit. …”
Get full text

Antibacterial Synergy Detection of Lignin Extract from Oil Palm Empty Fruit Bunches (Opefb) Combined with Amoxicillin Against Staphylococcus Aureus Using The Azdast Method by Rifki Anshory Hendri, Herman Suryadi, Hayun Hayun

“…Oil palm empty fruit bunches (OPEFB) are waste generated by the palm oil industry and are generally considered an environmental problem due to their large quantity and difficult recyclability. …”
Get full text

Privacy-preserving federated learning framework with dynamic weight aggregation by Zuobin YING, Yichen FANG, Yiwen ZHANG

“…There are two problems with the privacy-preserving federal learning framework under an unreliable central server.① A fixed weight, typically the size of each participant’s dataset, is used when aggregating distributed learning models on the central server.However, different participants have non-independent and homogeneously distributed data, then setting fixed aggregation weights would prevent the global model from achieving optimal utility.② Existing frameworks are built on the assumption that the central server is honest, and do not consider the problem of data privacy leakage of participants due to the untrustworthiness of the central server.To address the above issues, based on the popular DP-FedAvg algorithm, a privacy-preserving federated learning DP-DFL algorithm for dynamic weight aggregation under a non-trusted central server was proposed which set a dynamic model aggregation weight.The proposed algorithm learned the model aggregation weight in federated learning directly from the data of different participants, and thus it is applicable to non-independent homogeneously distributed data environment.In addition, the privacy of model parameters was protected using noise in the local model privacy protection phase, which satisfied the untrustworthy central server setting and thus reduced the risk of privacy leakage in the upload of model parameters from local participants.Experiments on dataset CIFAR-10 demonstrate that the DP-DFL algorithm not only provides local privacy guarantees, but also achieves higher accuracy rates with an average accuracy improvement of 2.09% compared to the DP-FedAvg algorithm models.…”
Get full text

Deflagration Pressure Prediction Using the NFPA 68 Engineering Model: Sensitivity of Fuel-air Gas Properties by Stefan Kraft, Marius Bloching, Lorenz Boeck

“…This work explores three aspects of this problem: summarizing resources and methods for obtaining gas properties; performing a sensitivity study for a 20-ft ISO container geometry to determine parameter impacts; and comparing NFPA 68 pressure predictions against large-scale experimental results using both default and calculated mixture-specific properties. …”
Get full text

Methodology for assessing the financing of measures taken greening the forest complex by Shanin Igor, Shtondin Anatoly, Kuznetsova Ekaterina

“…All values should be close to the optimal indicator of 3.07, but not less than the average value for the forecast periods of 2.69.…”
Get full text

H∞ Consensus Design and Online Scheduling for Multiagent Systems with Switching Topologies via Deep Reinforcement Learning by Haoyu Cheng, Ruijia Song, Linpeng Xu, Di Zhang, Shengli Xu

“…By employing linear transformation, the closed-loop systems of MASs are converted into reduced-order systems. The problem of H∞ consensus design can be transformed to the issue of H∞ control. …”
Get full text