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Multi-dimensional Security Range Query for Industrial IoT

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Computers, Materials & Continua 2022年第7期72卷 157-179页

作者： Abdallah Abdallah Ayman A.Aly Bassem F.Felemban Imran Khan ki-il kim School of Engineering Technology Al Hussein Technical University(HTU)Amman11831Jordan Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Department of Computer Science and Engineering Chungnam National UniversityDaejeon34134Korea

The Internet of Things(IoT)has allowed for significant advancements in applications not only in the home,business,and environment,but also in factory *** Internet of Things(IIoT)brings all of the benefits of the IoT to industrial contexts,allowing for a wide range of applications ranging from remote sensing and actuation to decentralization and *** expansion of the IoT has been set by serious security threats and obstacles,and one of the most pressing security concerns is the secure exchange of IoT data and fine-grained access control.A privacypreserving multi-dimensional secure query technique for fog-enhanced IIoT was proposed in light of the fact that most existing range query schemes for fog-enhanced IoT cannot provide both multi-dimensional query and privacy *** query matrix was then decomposed using auxiliary vectors,and the auxiliary vectorwas then processed usingBGNhomomorphic encryption to create a query ***,the query trapdoor may be matched to its sensor data using the homomorphic computation used by an IoT device *** the application of particular auxiliary vectors,the spatial complexity might be efficiently *** homomorphic encryption property might ensure the security of sensor data and safeguard the privacy of the user’s inquiry *** results of the experiments reveal that the computing and communication expenses are modest.

关键词： Internet of things data security ciphertext privacy encryption

A Sparse Optimization Approach for Beyond 5G mmWave Massive MIMO Networks

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Computers, Materials & Continua 2022年第8期72卷 2797-2810页

作者： Waleed Shahjehan Abid Ullah Syed Waqar Shah Imran Khan Nor Samsiah Sani ki-il kim Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Center for Artificial Intelligence Technology Faculty of Information Science&TechnologyUniversiti KebangsaanKajang43000Malaysia Department of Computer Science and Engineering Chungnam National UniversityDaejeon34134Korea

Millimeter-Wave(mmWave)Massive MIMO is one of the most effective technology for the fifth-generation(5G)wireless *** improves both the spectral and energy efficiency by utilizing the 30–300 GHz millimeter-wave bandwidth and a large number of antennas at the base ***,increasing the number of antennas requires a large number of radio frequency(RF)chains which results in high power *** order to reduce the RF chain’s energy,cost and provide desirable quality-ofservice(QoS)to the subscribers,this paper proposes an energy-efficient hybrid precoding algorithm formm Wave massive MIMO networks based on the idea of RF chains *** sparse digital precoding problem is generated by utilizing the analog precoding ***,it is jointly solved through iterative fractional programming and successive convex optimization(SCA)*** results show that the proposed scheme outperforms the existing schemes and effectively improves the system performance under different operating conditions.

关键词： 5G mmwave precoding massive mimo complexity

Guest Editorial:Special issue on explainable AI empowered for indoor positioning and indoor navigation

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CAAI Transactions on Intelligence Technology 2023年第4期8卷 1101-1103页

作者： ki‐il kim Aswani Kumar Cherukuri Xue Jun Li Tanveer Ahmad Muhammad Rafiq Shehzad Ashraf Chaudhry Chungnam National University DaejeonRepublic of Korea Vellore Institute of Technology VelloreIndia Auckland University of Technology AucklandNew Zealand Yeungnam University Gyeongsan‐siRepublic of Korea Abu Dhabi University Zayed CityUAE

The convergence of Internet of Things(IoT),vehicularad hoc network(VANET),and mobile ad hoc network relies on sensor networks to gather data from nodes or *** networks involve nodes,gateways,and anchors,operating on limited battery power,mainly used in *** applications,like healthcare,smart cities,and transportation,often need position data and face challenges in delay *** is important in ITS and VANETs,influencing autonomous vehicles,collision warning systems,and road information dissemination.A robust localisation system,often combining GPS with techniques like Dead Reckoning and Image/Video Localisation,is essential for accuracy and *** intelligence(AI)integration,particularly in machine learning,enhances indoor wireless localisation *** in wireless communication(WSN,IoT,and massive MIMO)transform dense environments into programmable entities,but pose challenges in aligning self‐learning AI with sensor tech for accuracy and budget *** seek original research on sensor localisation,fusion,protocols,and positioning algorithms,inviting contributions from industry and academia to address these evolving challenges.

关键词： anchor artificial intelligence GPS localisation mobile communication RSSI vehicle

Hybrid Deep Learning Architecture to Forecast Maximum Load Duration Using Time-of-Use Pricing Plans

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Computers, Materials & Continua 2021年第7期68卷 283-301页

作者： Jinseok kim Babar Shah ki-il kim Department of KDN Electric power IT Research Institute KEPCO KDNNaju58217Korea College of Technological Innovation Zayed UniversityAbu DhabiUAE Department of Computer Science&Engineering Chungnam National UniversityDaejeon34134Korea

Load forecasting has received crucial research attention to reduce peak load and contribute to the stability of power grid using machine learning or deep learning ***,we need the adequate model to forecast the maximum load duration based on time-of-use,which is the electricity usage fare policy in order to achieve the goals such as peak load reduction in a power ***,the existing single machine learning or deep learning forecasting cannot easily avoid ***,a majority of the ensemble or hybrid models do not achieve optimal results for forecasting the maximum load duration based on *** overcome these limitations,we propose a hybrid deep learning architecture to forecast maximum load duration based on *** results indicate that this architecture could achieve the highest average of recall and accuracy(83.43%)compared to benchmark *** verify the effectiveness of the architecture,another experimental result shows that energy storage system(ESS)scheme in accordance with the forecast results of the proposed model(LSTM-MATO)in the architecture could provide peak load cost savings of 17,535,700 KRW each year comparing with original peak load costs without the ***,the proposed architecture could be utilized for practical applications such as peak load reduction in the grid.

关键词： Load forecasting deep learning hybrid architecture maximum load duration time-of-use

Embedded Coded Relay System for Molecular Communications

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Computers, Materials & Continua 2022年第8期72卷 2729-2748页

作者： Eman S.Attia Ashraf A.M.Khalaf Fathi E.Abd El-Samie Saied M.Abd El-atty Konstantinos A.Lizos Osama Alfarraj Farid Shawki Imran Khan ki-il kim Department of Electrical Engineering Faculty of EngineeringMinia UniversityMiniaEgypt Department of Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenoufiaEgypt Department of Informatics Faculty of Mathematics and Natural SciencesUniversity of Oslo(UiO)Norway Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Electrical Engineering University of Engineering&TechnologyPeshawar814Pakistan Department of Computer Science and Engineering Chungnam National UniversityDaejeon34134Korea

With the emergence of the COVID-19 pandemic,the World Health Organization(WHO)has urged scientists and industrialists to exploremodern information and communication technology(ICT)as a means to reduce or even eliminate *** World Health Organization recently reported that the virus may infect the organism through any organ in the living body,such as the respiratory,the immunity,the nervous,the digestive,or the cardiovascular *** the abovementioned goal,we envision an implanted nanosystem embedded in the intra living-body *** main function of the nanosystem is either to perform diagnosis and mitigation of infectious diseases or to implement a targeted drug delivery system(i.e.,delivery of the therapeutic drug to the diseased tissue or targeted cell).The communication among the nanomachines is accomplished via communication-based molecular *** control/interconnection of the nanosystem is accomplished through the utilization of Internet of bio-nano things(IoBNT).The proposed nanosystem is designed to employ a coded relay nanomachine disciplined by the decode and forward(DF)principle to ensure reliable drug delivery to the targeted ***,both the sensitivity of the drug dose and the phenomenon of drug molecules loss before delivery to the target cell site in long-distance due to the molecules diffusion process are taken into *** this paper,a coded relay NM with conventional coding techniques such as RS and Turbo codes is selected to achieve minimum bit error rate(BER)performance and high signal-to-noise ratio(SNR),while the detection process is based on maximum likelihood(ML)probability and minimum error probability(MEP).The performance analysis of the proposed scheme is evaluated in terms of channel capacity and bit error rate by varying system parameters such as relay position,number of released molecules,relay and receiver *** results are validated through simulation and demonstrate that the proposed scheme can

关键词： Molecular communication nanonetwork internet of bio-nano things coded relay scheme coding

Erythrocytes serve as a template to create nanozymes with uniform Fe single-atom sites for healing bacteria-infected wound

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Science China Life Sciences 2024年第9期67卷 2048-2050页

作者： Thinh Viet Dang Moon il kim Department of Bio Nano Technology Gachon University

Bacterial infection is recognized as one of the biggest global health threats, causing millions of people's death every year(Wang et al., 2020). Traditional antibiotics-based therapies have been widely utilized to control this issue(Kohanski et al., 2010); however, their excessive use leads to the emergence of antibioticresistant bacteria, endangering to human health(Levy and Marshall, 2004).

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Hydrangea serrata extract exerts tumor inhibitory activity against hepatocellular carcinoma HepG2 cells via inducing p27/CDK2-mediated cell cycle arrest and apoptosis

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Asian Pacific Journal of Tropical Biomedicine 2024年第2期14卷 65-72,I0002-I0005页

作者： Ye-eun kim Jeonghye Hwang ki-Young kim Graduate School of Biotechnology Kyung Hee UniversitySeocheonGiheungYonginGyeonggi-do 446-701Republic of Korea Department of Genetics and Biotechnology College of Life SciencesKyung Hee UniversitySeocheonGiheungYonginGyeonggi-do 446-701Republic of Korea

Objective:To examine the inhibitory effect of Hydrangea serrata extract against hepatocellular carcinoma HepG2 cells and its underlying ***:The effects of Hydrangea serrata extract on growth inhibition of tumor cells and spheroids were assessed using MTT and 3D culture *** real-time PCR and Western blot analyses were employed to investigate the changes in mRNA and protein expression levels of molecules related to cell cycle and ***:Hydrangea serrata extract effectively inhibited the growth of both tumor cells and *** extract also significantly upregulated p27 mRNA expression and downregulated CDK2 mRNA expression,leading to cell cycle ***,increased BAX/Bcl-2 ratio as well as caspase-9 and-3 were observed after treatment with Hydrangea serrata extract,indicating the induction of tumor cell ***:Hydrangea serrata extract has the potential to alleviate tumors by effectively modulating cell-cycle-related gene expressions and inducing apoptosis,thereby inhibiting tumor growth.

关键词： Hydrangea serrata Hepatocellular carcinoma Liver cancer Anticancer Cell cycle arrest Apoptosis

Modification strategies improving the electrochemical and structural stability of high-Ni cathode materials

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Journal of Energy Chemistry 2024年第9期96卷 185-205页

作者： Yoon Bo Sim Hami Lee Junyoung Mun ki Jae kim Department of Energy Science Sungkyunkwan UniversitySuwon 16419Republic of Korea School of Advanced Materials Sciencend Engineering Sungkyunkwan UniversitySuwon 16419Republic of Korea SKKU Institute of Energy Sciencend Technology(SIEST) Sungkyunkwan UniversitySuwon 16419Republic of Korea

With the increasing spotlight in electric vehicles,there is a growing demand for high-energy-density batteries to enhance driving ***,several studies have been conducted on high-energy-density LiNi_(x)Co_(y)Mn_(z)O_(2)***,there is a limit to permanent performance deterioration because of side reactions caused by moisture in the atmosphere and continuous microcracks during cycling as the Ni content to express high energy increases and the content of Mn and Co that maintain structural and electrochemical stabilization *** direct modification of the surface and bulk regions aims to enhance the capacity and long-term performance of high-Ni cathode ***,an efficient modification requires a study based on a thorough understanding of the degradation mechanisms in the surface and bulk *** this review,a comprehensive analysis of various modifications,including doping,coating,concentration gradient,and single crystals,is conducted to solve degradation issues along with an analysis of the overall degradation mechanism occurring in high-Ni cathode *** also summarizes recent research developments related to the following modifications,aims to provide notable points and directions for post-studies,and provides valuable references for the commercialization of stable high-energy-density cathode materials.

关键词： High energy density High-Ni cathode materials Degradation Structural stability Lithium-ion battery

Q-Learning Based Routing Protocol for Congestion Avoidance

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Computers, Materials & Continua 2021年第9期68卷 3671-3692页

作者： Daniel Godfrey Beom-Su kim Haoran Miao Babar Shah Bashir Hayat Imran Khan Tae-Eung Sung ki-il kim Department of Computer Science and Engineering Chungnam National UniversityKorea College of Technological Innovation Zayed UniversityAbu DhabiUAE Institute of Management Sciences PeshawarPakistan Department of Electrical Engineering University of Engineering and TechnologyPeshawarPakistan Department of Computer and Telecommunications Engineering Yonsei UniversityKorea

The end-to-end delay in a wired network is strongly dependent on congestion on intermediate *** lots of feasible approaches to avoid congestion efficiently,congestion-aware routing protocols tend to search for an uncongested path toward the destination through rule-based approaches in reactive/incident-driven and distributed ***,these previous approaches have a problem accommodating the changing network environments in autonomous and self-adaptive operations *** overcome this drawback,we present a new congestion-aware routing protocol based on a Q-learning algorithm in software-defined networks where logically centralized network operation enables intelligent control and management of network *** a proposed routing protocol,either one of uncongested neighboring nodes are randomly selected as next hop to distribute traffic load to multiple paths or Q-learning algorithm is applied to decide the next hop by modeling the state,Q-value,and reward function to set the desired path toward the destination.A new reward function that consists of a buffer occupancy,link reliability and hop count is ***,look ahead algorithm is employed to update the Q-value with values within two hops *** approach leads to a decision of the optimal next hop by taking congestion status in two hops into account,***,the simulation results presented approximately 20%higher packet delivery ratio and 15%shorter end-to-end delay,compared to those with the existing scheme by avoiding congestion adaptively.

关键词： Congestion-aware routing reinforcement learning Q-learning Software defined networks