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Intelligent Resource Allocations for Software-Defined Mission-Critical IoT Services

Computers, Materials & Continua 2022年第11期73卷 4087-4102页

作者： Chaebeen nam Sa Math Prohim Tam Seokhoon Kim Department of Software Convergence Soonchunhyang UniversityAsan31538Korea Department of Computer Software Engineering Soonchunhyang UniversityAsan31538Korea

heterogeneous Internet of Things(IoT)applications generate a diversity of novelty applications and services in next-generation networks(NGN),which is essential to guarantee end-to-end(E2E)communication resources for both control plane(CP)and data plane(DP).Likewise,the heterogeneous 5th generation(5G)communication applications,including Mobile Broadband Communications(MBBC),massive Machine-Type Commutation(mMTC),and ultra-reliable low latency communications(URLLC),obligate to perform intelligent Quality-of-Service(QoS)Class Identifier(QCI),while the CP entities will be suffered from the complicated massive HIOT ***,the existing management and orchestration(MANO)models are inappropriate for resource utilization and allocation in large-scale and complicated network *** cope with the issues mentioned above,this paper presents an adopted software-defined mobile edge computing(SDMEC)with a lightweight machine learning(ML)algorithm,namely support vector machine(SVM),to enable intelligent MANO for real-time and resource-constraints IoT applications which require lightweight computation ***,the SVM algorithm plays an essential role in performing QCI ***,the software-defined networking(SDN)controller allocates and configures priority resources according to the SVM classification ***,the complementary of SVM and SDMEC conducts intelligent resource MANO for massive QCI environments and meets the perspectives of mission-critical communication with resource constraint *** on the E2E experimentation metrics,the proposed scheme shows remarkable outperformance in key performance indicator(KPI)QoS,including communication reliability,latency,and communication throughput over the various powerful reference methods.

关键词： Mobile edge computing Internet of Things software defined networks traffic classification machine learning resource allocation

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Novel Soft ComputingModel for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on the Bagging and Sibling of Extra Trees Models

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Computer Modeling in Engineering & Sciences 2023年第3期134卷 2227-2246页

作者： Quang-Hieu Tran Hoang Nguyen Xuan-nam Bui Department of Surface Mining Mining FacultyHanoi University of Mining and GeologyHanoi100000Vietnam Innovations for Sustainable and Responsible Mining(ISRM)Research Group Hanoi University of Mining and GeologyHanoi100000Vietnam

This study considered and predicted blast-induced ground vibration(PPV)in open-pit mines using bagging and sibling techniques under the rigorous combination of machine learning ***,four machine learning algorithms,including support vector regression(SVR),extra trees(ExTree),K-nearest neighbors(KNN),and decision tree regression(DTR),were used as the base models for the purposes of combination and PPV initial *** bagging regressor(BA)was then applied to combine these base models with the efforts of variance reduction,overfitting elimination,and generating more robust predictive models,abbreviated as BA-ExTree,BAKNN,BA-SVR,and *** is emphasized that the ExTree model has not been considered for predicting blastinduced ground vibration before,and the bagging of ExTree is an innovation aiming to improve the accuracy of the inherently ExTree model,as *** addition,two empirical models(i.e.,USBM and Ambraseys)were also treated and compared with the bagging models to gain a comprehensive *** this aim,we collected 300 blasting events with different parameters at the Sin Quyen copper mine(Vietnam),and the produced PPV values were also *** were then compiled as the dataset to develop the PPV predictive *** results revealed that the bagging models provided better performance than the empirical models,except for the BA-DTR *** those,the BA-ExTree is the best model with the highest accuracy(i.e.,88.8%).Whereas,the empirical models only provided the accuracy from 73.6%–76%.The details of comparisons and assessments were also presented in this study.

关键词： Mine blasting blast-induced ground vibration environmentally friendly blasting peak particle velocity bagging extra trees

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Estimation of marine winds in and around typhoons using multi-platform satellite observations: Application to Typhoon Soulik (2018)

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Frontiers of Earth Science 2022年第1期16卷 175-189页

作者： Seung-Woo LEE Sung Hyun nam Duk-Jin KIM School of Earth and Environmental Sciences College of Natural SciencesSeoul National UniversitySeoul 08826Republic of Korea Research Institution of Oceanography College of Natural SciencesSeoul National UniversitySeoul 08826Republic of Korea

Estimating horizontal winds in and around typhoons is important for improved monitoring and prediction of typhoons and mitigating their ***,we present a new algorithm for estimating typhoon winds using multiple satellite observations and its application to Typhoon Soulik(2018).Four kinds of satellite remote sensing data,along with their relationship to typhoon intensity,derived statistically from hundreds of historical typhoon cases,were merged into the final product of typhoon wind(MT wind):(1)geostationarysatellite-based infrared images(IR wind),(2)passive microwave sounder(MW wind),(3)feature-tracked atmospheric motion vectors,and (4)scatterometer-based sea surface winds(SSWs).The algorithm was applied to two cases(A and B)of Typhoon Soulik and validated against SSWs independently retrieved from active microwave synthetic aperture radar(SAR)and microwave radiometer(AMSR2)images,and vertical profiles of wind speed derived from reanalyzed data and dropsonde *** Case A(open ocean),the algorithm estimated the realistic maximum wind,radius of maximum wind,and radius of 15 m/s,which could not be estimated using the reanalysis data,demonstrating reasonable and practical ***,for Case B(when the typhoon rapidly weakened just before making landfall in the Korean Peninsula),the algorithm significantly overestimated the parameters,primarily due to the overestimation of typhoon *** study highlights that realistic typhoon winds can be monitored continuously in real-time using multiple satellite observations,particularly when typhoon intensity is reasonably well predicted,providing timely analysis results and products of operational importance.

关键词： sea surface wind multi-platform satellites Typhoon Soulik(2018)

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Malaria Blood Smear Classification Using Deep Learning and Best Features Selection

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Computers, Materials & Continua 2022年第1期70卷 1875-1891页

作者： Talha Imran Muhammad Attique Khan Muhammad Sharif Usman Tariq Yu-Dong Zhang Yunyoung nam Yunja nam Byeong-Gwon Kang Department of Computer Science COMSATS University IslamabadWah CampusWah CanttPakistan Department of Computer Science HITEC University TaxilaTaxilaPakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Department of Informatics University of LeicesterLeicesterUK Department of ICT Convergence Soonchunhyang UniversityAsanKorea

Malaria is a critical health condition that affects both sultry and frigid region worldwide,giving rise to millions of cases of disease and thousands of deaths over the *** is caused by parasites that enter the human red blood cells,grow there,and damage them over ***,it is diagnosed by a detailed examination of blood cells under the *** is the most extensively used malaria diagnosis technique,but it yields limited and unreliable results due to the manual human *** this work,an automated malaria blood smear classification model is proposed,which takes images of both infected and healthy cells and preprocesses themin the L^(*)a^(*)b^(*)color space by employing several contrast enhancement *** extraction is performed using two pretrained deep convolutional neural networks,DarkNet-53 and *** features are subsequently agglutinated to be optimized through a nature-based feature reduction method called the whale optimization *** classifiers are effectuated on the reduced features,and the achieved results excel in both accuracy and time compared to previously proposed methods.

关键词： Malaria preprocessing deep learning features optimization classification

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Keystone design perforator island flap in facial defect reconstruction

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World Journal of Clinical Cases 2020年第10期8卷 1832-1847页

作者： Soo Yeon Lim Chi Sun Yoon Hyun gun Lee Kyu nam Kim Department of Plastic and Reconstructive Surgery Konyang University HospitalUniversity of Konyang College of MedicineMyunggok Medical Research CenterDaejeon 35365South Korea Department of Plastic and Reconstructive Surgery Wonkwang University HospitalWonkwang University School of MedicineIksan 54538South Korea

Facial defect coverage is a common subject in the field of reconstructive *** are many methods for facial defect reconstruction,and reconstructive surgeons should choose the most appropriate method on a case-by-case basis to achieve both functional and aesthetic *** various options for facial reconstruction,the local flap technique is considered the best reconstructive modality to provide good tissue matches of color and texture,which is consistent with the ideal goal of reconstruction(replacement of like-with-like).Keystone design perforator island flap(KDPIF),devised by Behan in 2003,has been applied to various fields of reconstructive surgery in the past decade due to its design simplicity,robust vascular supply,and *** studies have reported KDPIF reconstruction of facial defects,such as large parotid defects,small-to-moderate nasal defects,and eyelid ***,KDPIF has been used relatively less in facial defects than in other body regions,such as the trunk and *** purpose of this review is to provide an organized overview of facial KDPIF reconstruction including the classification of KDPIF,modifications,physiology,mechanism of flap movement,consideration of facial relaxed skin tension lines and aesthetics,surgical techniques,clinical applications,and precautions for successful execution of KDPIF reconstruction.

关键词： Keystone design perforator island flap Reconstructive surgery Facial defects Aesthetics Plastic surgery Flap surgery

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Imidazole linker‐induced covalent triazine framework-ZIF hybrids for confined hollow carbon super‐heterostructures toward a long‐life supercapacitor

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Carbon Energy 2023年第10期5卷 25-39页

作者： Madagonda MVadiyar Ji‐Young Kim Jee‐Hwan Bae Kyung‐Wan nam Department of Energy and Materials Engineering Dongguk UniversitySeoulSouth Korea Advanced Analysis&Data Center Korea Institute of Science and Technology(KIST)SeoulSouth Korea Advanced Energy and Electronic Materials Research Center Dongguk UniversitySeoulSouth Korea

Carbon super-heterostructures with high nitrogen contents from the covalent hybrid precursors of covalent triazine frameworks(CTFs)and zeolitic imidazolic frameworks(ZIFs)are scarcely explored because of CTF's ordered structure and toxic superacid that dissolves or destabilizes the metal *** solve this problem,herein,we report a straightforward two-step pathway for the covalent hybridization of disordered CTF(d–CTF)–ZIF composites via preincorporation of an imidazole(IM)linker into ordered CTFs,followed by the imidazole-site-specific covalent growth of *** carbonization of these synthesized d–CTF−IM−ZIF hybrids results in unique hollow carbon super-heterostructures with ultrahigh nitrogen content(>18.6%),high specific surface area(1663m^(2)g^(−1)),and beneficial trace metal(Co/Zn NPs)contents for promoting the redox *** proof of concept,the obtained carbon super-heterostructure(Co–Zn–NC_(SNH)–800)is used as a positive electrode in an asymmetric supercapacitor,demonstrating a remarkable energy density of 61Wh kg^(−1)and extraordinary cyclic stability of 97%retention after 30,000 cycles at the cell *** presynthetic modifications of CTF and their covalent hybridization with ZIF crystals pave the way toward new design strategies for synthesizing functional porous carbon materials for promising energy applications.

关键词： asymmetric supercapacitor defective covalent triazine frameworks hollow carbon superheterostructures linker defect

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Extended X-ray absorption fine structure (EXAFS) of FAPbI_(3) for understanding local structure-stability relation in perovskite solar cells

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Journal of Energy Chemistry 2022年第4期31卷 549-554页

作者： Dong-Ho Kang Yong-Jun Park Yun-Sung Jeon nam-Gyu Park School of Chemical Engineering and Center for Antibonding Regulated Crystals Sungkyunkwan UniversitySuwon 16419Korea

Perovskite solar cells (PSCs) employing formamidinium lead iodide (FAPbI_(3)) have shown high ***,operational stability has been issued due to phase instability of α phase FAPbI_(3) at ambient *** precursors in the perovskite precursor solution has been proposed to improve not only power conversion efficiency (PCE) but also device ***,there is a controversial issue on the beneficial effect on PCE and/or stability between excess FAI and excess PbI_(2).We report here extended X-ray absorption fine structure (EXAFS) of FAPbI_(3) to study local structural change and explain the effect of excess precursors on photovoltaic performance and *** films prepared from the precursor solution with excess PbI_(2)shows better stability than those from the one with excess FAI,despite similar PCE.A rapid phase transition from α phase to non-perovskite δ phase is observed from the perovskite film formed by excess ***,the (Pb-I) bond distance evaluated by the Pb L_(III)-edge EXAFS study is increased by excess FAI,which is responsible for the phase transition and poor device *** work can provide important insight into local structure-stability relation in the FAPbI_(3)-based PSCs.

关键词： Extended X-ray absorption fine structure EXAFS Excess precursor Local structure Stability Perovskite solar cells

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Metabolites change of Scenedesmus obliquus exerted by AgNPs

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Journal of Environmental Sciences 2019年第2期31卷 310-318页

作者： Pu Wang Bo Zhang Hui Zhang Yiliang he Choon nam Ong Jun Yang School of Environmental Science & Engineering Shanghai Jiaotong University School of Municipal and Environmental Engineering Lanzhou Jiaotong University NUS Environmental Research Institute National University of Singapore

With increasing emission of silver nanoparticles(AgNPs) into the environment, it is important to understand the effects of ambient concentration of AgNPs. The biological effects of AgNPs on Scenedesmus obliquus, a ubiquitous freshwater microalgae, was evaluated. AgNPs exerted a minor inhibitory effect at low doses. Non-targeted metabolomic studies were conducted to understand and analyze the effect of AgNPs on algal cells from a molecular perspective. During the 48 hr of exposure to AgNPs, 30 metabolites were identified, of which nine had significant changes compared to the control group. These include D-galactose, sucrose, and *** carbohydrates are involved in the synthesis and repair of cell walls. Glycine, an important constituent amino acid of glutathione, increased with AgNP exposure concentration increasing, likely to counteract an increased intracellular oxidative stress. These results provide a new understanding of the toxicity effects and mechanism of AgNPs. These metabolites could be useful biomarkers for future research, employed in the early detection of environmental risk from AgNPs.

关键词： Silver nanoparticles (AgNPs) Scenedesmus obliquus Metabolomics Molecular mechanism

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Prediction models for recurrence in patients with small bowel bleeding

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World Journal of Clinical Cases 2023年第17期11卷 3949-3957页

作者： Ji Hyun Kim Seung-Joo nam Division of Gastroenterology and hepatology Department of Internal MedicineKangwon National University School of MedicineChuncheon 24341South Korea

Obscure gastrointestinal bleeding(OGIB)has traditionally been defined as gastrointestinal bleeding whose source remains unidentified after bidirectional *** can present as overt bleeding or occult bleeding,and small bowel lesions are the most common *** small bowel can be evaluated using capsule endoscopy,device-assisted enteroscopy,computed tomography enterography,or magnetic resonance *** the cause of smallbowel bleeding is identified and targeted therapeutic intervention is completed,the patient can be managed with routine ***,diagnostic tests may produce negative results,and some patients with small bowel bleeding,regardless of diagnostic findings,may experience *** those at risk of rebleeding can help clinicians form individualized surveillance *** studies have identified different factors associated with rebleeding,and a limited number of studies have attempted to create prediction models for *** article describes prediction models developed so far for identifying patients with OGIB who are at greater risk of *** models may aid clinicians in forming tailored patient management and surveillance.

关键词： Obscure gastrointestinal bleeding Prediction model Rebleeding Small bowel bleeding Video capsule endoscopy

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Towards sustainability with self-healing and recyclable perovskite solar cells

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eScience 2022年第6期2卷 567-572页

作者： Hui Zhang nam-Gyu Park Key Laboratory of Flexible Electronics(KLOFE)&Institute of Advanced Materials(IAM) School of Flexible Electronics(Future Technologies)Nanjing Tech UniversityNanjing 211816JiangsuChina School of Chemical Engineering Center for Antibonding Regulated CrystalsSungkyunkwan UniversitySuwon 16419Republic of Korea SKKU Institute of Energy Science and Technology(SIEST) Sungkyunkwan UniversitySuwon 16419Republic of Korea

Lead halide perovskite solar cells(PSCs)have been considered one of the most promising candidates for future energy supply,whereas just solar cell does not guarantee *** to the ionic nature and constituent heavy metals,perovskite materials are prone to decay under operating conditions and pose a threat to ecosystems and human health,seriously restricting their practical ***,we briefly review safe-by-design strategies to heal failed PSCs and thereby extend their operational lifetime and to recycle lead perovskites at the end of their lifespan for cyclic *** the point of view of processability,scalability,and universality,we recommend future approaches for the further development of PSCs towards sustainable photovoltaics,taking into consideration materials selection,device design,and process optimization.

关键词： Self-healing Recycling Perovskite solar cells Sustainability Photovoltaics

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