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Accurate Location Estimation of Smart Dusts Using Machine Learning

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Computers, Materials & Continua 2022年第6期71卷 6165-6181页

作者： Shariq Bashir Owais Ahmed Malik Daphne Teck Ching Lai institute of Applied Data analytics(IADA) Universiti Brunei Darussalam(UBD)GadongBE1410Brunei Darussalam School of Digital Sciences(SDS) Universiti Brunei Darussalam(UBD)GadongBE1410Brunei Darussalam

Traditional wireless sensor networks(WSNs)are not suitable for rough terrains that are difficult or impossible to access by *** dust is a technology that works with the combination of many tiny sensors which is highly useful for obtaining remote sensing information from rough *** tiny sensors are sprinkled in large numbers on rough terrains using airborne distribution through drones or aircraftwithout manually setting their *** it is clear that a number of remote sensing applications can benefit from this technology,but the small size of smart dust fundamentally restricts the integration of advanced hardware on tiny *** raises many challenges including how to estimate the location of events sensed by the smart *** solutions on estimating the location of events sensed by the smart dusts are not suitable for monitoring rough terrains as these solutions depend on relay sensors and laser patterns which have their own limitations in terms of power constraint and uneven *** study proposes a novel machine learning based localization algorithm for estimating the location of *** approach utilizes timestamps(time of arrival)of sensed events received at base stations by assembling them into a multidimensional vector and input to a machine learning classifier for estimating the *** to the unavailability of real smart dusts,we built a simulator for analysing the accuracy of the proposed approach formonitoring forest *** experiments on the simulator show reasonable accuracy of the approach.

关键词： Smart dust sensor localization remote sensing machine learning algorithms Internet of Things sensor applications

Reconstruction surgery in head and neck cancer patients amidst the COVID-19 pandemic:Current practice and lessons for the future

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World Journal of Clinical Cases 2023年第7期11卷 1434-1441页

作者： Daniele Lizambri Andrea Giacalone Pritik A Shah Marcos Roberto Tovani-Palone Department of advanced Medical and Surgical Sciences University of Campania Luigi VanvitelliCaserta 81100Italy Department of Industrial Engineering Technologies for Sports Medicine and RehabilitationUniversity of Rome Tor VergataRome 00133Italy Bangalore Medical College and Research institute Karnataka 560002India Department of Research analytics Saveetha Dental College and HospitalsSaveetha Institute of Medical and Technical SciencesChennai 600077India

The coronavirus disease 2019(COVID-19)pandemic has imposed a radical change in daily life and work *** this context,health systems have suffered important and serious repercussions in all *** the changes brought about by the state of global health emergency,adjustments to guidelines,priorities,structures,professional teams,and epidemiological data stand *** light of this,the oncological field has witnessed several changes in the approach to cancer,whether due to delay in diagnosis,screening deficit,personnel shortage or the psychological impact that the pandemic has had on cancer *** article focuses on the management of oral carcinoma and the surgical approaches that oral and maxillofacial specialists have had at their disposal during the health *** this period,the oral and maxillofacial surgeons have faced many *** proximity of maxillofacial structures to the airways,the need of elective and punctual procedures in cancerous lesions,the aggressiveness of head and neck tumors,and the need for important healthcare costs to support such delicate surgeries are examples of some of the challenges imposed for this *** of the possible surgical'solutions'to the difficulties in managing surgical cases of oral carcinoma during the pandemic is locoregional flaps,which in the pre-COVID-19 era were less used than free ***,during the health emergency,its use has been widely *** setback may represent a precedent for opening up new *** the course of a long-term pandemic,a reassessment of the validity of different medical and surgical therapeutic approaches should be ***,given that the pandemic has highlighted vulnerabilities and shortcomings in a number of ways,including the issues of essential resource shortages,underinvestment in public health services,lack of coordination and versatility among politicians,policymakers and health leaders,resulting in overloaded health systems,rapi

关键词： Free tissue flaps Surgical flaps Head and neck neoplasms SARS-CoV-2 COVID-19 Pandemics

Potential role of the microbiome in liver injury during COVID-19: Further research is needed

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World Journal of Gastroenterology 2023年第3期29卷 503-507页

作者： Marcos Roberto Tovani-Palone Paolo Pedersini Department of Research analytics Saveetha Dental College and HospitalsSaveetha Institute of Medical and Technical Sciences(SIMATS)Chennai 600077India IRCCS Fondazione Don Carlo Gnocchi Milan 20148Italy

Although different studies have associated coronavirus disease 2019(COVID-19)with the occurrence of liver injury,the hepatic injury route during the COVID-19 course is not yet fully *** order to better understand the mechanisms of the disease,the human gut microbiota has been the subject of extensive discussion in the context of COVID-19 ***,many questions remain,including the risks of liver injury due to COVID-19 specific *** research in this field could allow the discovery of new personalized treatment strategies aimed at improving the microbiota composition,thereby reducing COVID-19 severity and its complications in different *** this article,we discussed basic mechanisms of severe acute respiratory syndrome coronavirus 2 infection and recent evidence on the relationship between COVID-19,the gut microbiome and liver injury as well as proposed recommendations for further research.

关键词： COVID-19 Gut microbiota Coronavirus Gut microbial-host-immune axis Gut-lung axis Liver injury

Process Characterization of the Transesterification of Rapeseed Oil to Biodiesel Using Design of Experiments and Infrared Spectroscopy

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Journal of Renewable Materials 2023年第4期11卷 1643-1660页

作者： Tobias Drieschner Andreas Kandelbauer Bernd Hitzmann Karsten Rebner Lehr-und Forschungszentrum Process Analysis and Technology(PA&T)der Hochschule Reutlingen Reutlingen72762Germany Department of Process analytics and Cereal Science Institute of Food Science and BiotechnologyUniversität HohenheimStuttgart70599Germany

For optimization of production processes and product quality,often knowledge of the factors influencing the process outcome is ***,process analytical technology(PAT)that allows deeper insight into the process and results in a mathematical description of the process behavior as a simple function based on the most important process factors can help to achieve higher production efficiency and *** present study aims at characterizing a well-known industrial process,the transesterification reaction of rapeseed oil with methanol to produce fatty acid methyl esters(FAME)for usage as biodiesel in a continuous micro reactor *** this end,a design of experiment approach is applied,where the effects of two process factors,the molar ratio and the total flow rate of the reactants,are *** optimized process target response is the FAME mass fraction in the purified nonpolar phase of the product as a measure of reaction *** quantification is performed using attenuated total reflection infrared spectroscopy in combination with partial least squares *** data retrieved during the conduction of the DoE experimental plan were used for statistical analysis.A non-linear model indicating a synergistic interaction between the studied factors describes the reactor behavior with a high coefficient of determination(R^(2))of ***,we applied a PAT approach to generate further insight into this established industrial process.

关键词： Process analytical technology transesterification design of experiment attenuated total reflection infrared spectroscopy partial least square regression

Neural Machine Translation Models with Attention-Based Dropout Layer

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Computers, Materials & Continua 2023年第5期75卷 2981-3009页

作者： Huma Israr Safdar Abbas Khan Muhammad Ali Tahir Muhammad Khuram Shahzad Muneer Ahmad Jasni Mohamad Zain School of Electrical Engineering and Computer Science(SEECS) National University of Science and TechnologyIslamabadPakistan institute for Big Data analytics and Artificial Intelligence(IBDAAI) Kompleks Al-KhawarizmiUniversiti Teknologi MARA40450Shah AlamSelangorMalaysia

In bilingual translation,attention-based Neural Machine Translation(NMT)models are used to achieve synchrony between input and output sequences and the notion of *** model has obtained state-of-the-art performance for several language ***,there has been little work exploring useful architectures for Urdu-to-English machine *** conducted extensive Urdu-to-English translation experiments using Long short-term memory(LSTM)/Bidirectional recurrent neural networks(Bi-RNN)/Statistical recurrent unit(SRU)/Gated recurrent unit(GRU)/Convolutional neural network(CNN)and *** results show that Bi-RNN and LSTM with attention mechanism trained iteratively,with a scalable data set,make precise predictions on unseen *** trained models yielded competitive results by achieving 62.6%and 61%accuracy and 49.67 and 47.14 BLEU scores,*** a qualitative perspective,the translation of the test sets was examined manually,and it was observed that trained models tend to produce repetitive output more *** attention score produced by Bi-RNN and LSTM produced clear alignment,while GRU showed incorrect translation for words,poor alignment and lack of a clear ***,we considered refining the attention-based models by defining an additional attention-based dropout *** dropout fixes alignment errors and minimizes translation errors at the word *** empirical demonstration and comparison with their counterparts,we found improvement in the quality of the resulting translation system and a decrease in the perplexity and over-translation *** ability of the proposed model was evaluated using Arabic-English and Persian-English datasets as *** empirically concluded that adding an attention-based dropout layer helps improve GRU,SRU,and Transformer translation and is considerably more efficient in translation quality and speed.

关键词： Natural language processing neural machine translation word embedding attention perplexity selective dropout regularization Urdu Persian Arabic BLEU

A Novel Modified Tree-Seed Algorithm for High-Dimensional Optimization Problems

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Chinese Journal of Electronics 2020年第2期29卷 337-343页

作者： ZHAO Shijie GAO Leifu TU Jun YU Dongmei institute of Optimization and Decision College of Science Liaoning Technical University institute for Optimization and Decision analytics Liaoning Technical University

To efficiently handle high-dimensional continuous optimization problems, a Modified tree-seed algorithm(MTSA) is proposed by coupling a newly introduced control parameter named as Seed domain shrinkable coefficient(SDSC) and Local reinforcement strategy(LRS) based on gradient information of adjacentgeneration best trees. SDSC is dynamically decreased with iterations to adjust the produced domain of offspring seeds,for achieving the tradeoff between the global exploration and local exploitation. LRS strategy is to execute local exploitation process by employing gradient information of two best trees, for enhancing convergence efficiency and local optima avoidance with probabilities. The compared experimental results show the different effects of differenttype SDSC on MTSA, the faster convergence efficiency and the stronger robustness of the proposed MTSA.

关键词： Tree-seed algorithm Seed domain shrinkage Local reinforcement High-dimension optimization

A Novel Quantum Entanglement-Inspired Meta-heuristic Framework for Solving Multimodal Optimization Problems

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Chinese Journal of Electronics 2021年第1期30卷 145-152页

作者： ZHAO Shijie MA Shilin GAO Leifu YU Dongmei institute of Optimization and Decision College of Science Liaoning Technical University institute for Optimization and Decision analytics Liaoning Technical University

To solve Multimodal optimization problems(MOPs), a Novel Quantum entanglement-inspired meta-heuristic framework(NMF-QE) is proposed. Its main inspirations are two concepts of quantum physics:quantum entanglement and quantum superposition. When given Proto-born particles(PBPs) of a population, these two concepts are mathematically developed to generate twin-born and combination-born particles, *** if any elite-born particles would be created by a local re-searching strategy. These three or four groups of particles come together as a whole search population of NMF-QE to realize exploration and exploitation of algorithms. To guarantee dynamical optimization capability of NMF-QE, the individual evolutionary mechanism of some existing meta-heuristics will be adopted to iteratively create PBPs. A selected meta-heuristic is coupled with NMF-QE to present its improved variant. Numerical results show that the proposed NMF-QE can effectively improve optimization performance of meta-heuristics on MOPs.

关键词： Meta-heuristic optimization Quantum entanglement Long-distance effect Combination superposition Multimodal optimization

A Transmission and Transformation Fault Detection Algorithm Based on Improved YOLOv5

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Computers, Materials & Continua 2023年第9期76卷 2997-3011页

作者： Xinliang Tang Xiaotong Ru Jingfang Su Gabriel Adonis School of Information Science and Engineering Hebei University of Science and TechnologyShijiazhuang050000China Department of Computer Science and Information Systems Birkbeck Institute for Data AnalyticsLondonB100ABWC1E 7HXUK

On the transmission line,the invasion of foreign objects such as kites,plastic bags,and balloons and the damage to electronic components are common transmission line *** these faults is of great significance for the safe operation of power ***,a YOLOv5 target detection method based on a deep convolution neural network is *** this paper,Mobilenetv2 is used to replace Cross Stage Partial(CSP)-Darknet53 as the *** structure uses depth-wise separable convolution to reduce the amount of calculation and parameters;improve the detection *** the same time,to compensate for the detection accuracy,the Squeeze-and-Excitation Networks(SENet)attention model is fused into the algorithm framework and a new detection scale suitable for small targets is added to improve the significance of the fault target area in the *** pictures of foreign matters such as kites,plastic bags,balloons,and insulator defects of transmission lines,and sort theminto a data *** experimental results on datasets show that themean Accuracy Precision(mAP)and recall rate of the algorithm can reach 92.1%and 92.4%,*** the same time,by comparison,the detection accuracy of the proposed algorithm is higher than that of other methods.

关键词： Transmission line YOLOv5 multi-scale integration SENet

Toward Data-Driven Digital Therapeutics analytics:Literature Review and Research Directions

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 42-66页

作者： Uichin Lee Gyuwon Jung Eun-Yeol Ma Jin San Kim Heepyung Kim Jumabek Alikhanov Youngtae Noh Heeyoung Kim Korea advanced institute of Science and Technology Daejeon 34141Republic of Korea Inha University Incheon 402-751Republic of Korea KENTECH Naju-siRepublic of Korea

With the advent of digital therapeutics(DTx),the development of software as a medical device(SaMD)for mobile and wearable devices has gained significant attention in recent *** DTx evaluations,such as randomized clinical trials,mostly focus on verifying the effectiveness of DTx *** acquire a deeper understanding of DTx engagement and behavioral adherence,beyond efficacy,a large amount of contextual and interaction data from mobile and wearable devices during field deployment would be required for *** this work,the overall flow of the data-driven DTx analytics is reviewed to help researchers and practitioners to explore DTx datasets,to investigate contextual patterns associated with DTx usage,and to establish the(causal)relationship between DTx engagement and behavioral *** review of the key components of datadriven analytics provides novel research directions in the analysis of mobile sensor and interaction datasets,which helps to iteratively improve the receptivity of existing DTx.

关键词： Causal inference data-driven analytics framework digital therapeutics(DTx) mobile and wearable data technical and behavioral engagement

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