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Detection of Worker’s Safety Helmet and Mask and Identification of Worker Using Deeplearning

Computers, Materials & Continua 2023年第4期75卷 1671-1686页

作者： NaeJoung kwak DongJu Kim Department of Information Security at Paichai University Daejeon35345Korea POSTECH Institute of Artificial Intelligence Pohang24257Korea

This paper proposes a method for detecting a helmet for thesafety of workers from risk factors and a mask worn indoors and verifying aworker’s identity while wearing a helmet and mask for security. The proposedmethod consists of a part for detecting the worker’s helmet and mask and apart for verifying the worker’s identity. An algorithm for helmet and maskdetection is generated by transfer learning of Yolov5’s s-model and *** models are trained by changing the learning rate, batch size, and *** model with the best performance is selected as the model for detectingmasks and helmets. At a learning rate of 0.001, a batch size of 32, and anepoch of 200, the s-model showed the best performance with a mAP of0.954, and this was selected as an optimal model. The worker’s identificationalgorithm consists of a facial feature extraction part and a classifier partfor the worker’s identification. The algorithm for facial feature extraction isgenerated by transfer learning of Facenet, and SVMis used as the classifier foridentification. The proposed method makes trained models using two datasets,a masked face dataset with only a masked face, and a mixed face datasetwith both a masked face and an unmasked face. And the model with the bestperformance among the trained models was selected as the optimal model foridentification when using a mask. As a result of the experiment, the model bytransfer learning of Facenet and SVM using a mixed face dataset showed thebest performance. When the optimal model was tested with a mixed dataset,it showed an accuracy of 95.4%. Also, the proposed model was evaluated asdata from 500 images of taking 10 people with a mobile phone. The resultsshowed that the helmet and mask were detected well and identification wasalso good.

关键词： Mask PPE safety helmet Yolo Facenet

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Genera of Cayley maps

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Science China Mathematics 2015年第4期58卷 859-868页

作者： LIU JianBing kwak JinHo Department of Mathematics Beijing Jiaotong University Department of Mathematics Pohang University of Science and Technology

The genus distribution of a graph G is defined to be the sequence {gm}, where gm is the number of different embeddings of G in the closed orientable surface of genus m. In this paper, we examine the genus distributions of Cayley maps for several Cayley graphs. It will be shown that the genus distribution of Cayley maps has many different properties from its usual genus distribution.

关键词： Cayley graphs Cayley maps surfaces embedding genus

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Detection Technique of Software-Induced Rowhammer Attacks

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Computers, Materials & Continua 2021年第4期67卷 349-367页

作者： Minkyung Lee Jin kwak ISAA Lab. Department of Computer EngineeringAjou UniversitySuwon16499Korea Department of Cyber Security Ajou UniversitySuwon16499Korea

Side-channel attacks have recently progressed into software-induced *** particular,a rowhammer attack,which exploits the characteristics of dynamic random access memory(DRAM),can quickly and continuously access the cells as the cell density of DRAM increases,thereby generating a disturbance error affecting the neighboring cells,resulting in bit *** a rowhammer attack is a highly sophisticated attack in which disturbance errors are deliberately generated into data bits,it has been reported that it can be exploited on various platforms such as mobile devices,web browsers,and virtual ***,there have been studies on bypassing the defense measures of DRAM manufacturers and the like to respond to rowhammer attacks.A rowhammer attack can control user access and compromise the integrity of sensitive data with attacks such as a privilege escalation and an alteration of the encryption *** an attempt to mitigate a rowhammer attack,various hardware-and software-based mitigation techniques are being studied,but there are limitations in that the research methods do not detect the rowhammer attack in advance,causing overhead or degradation of the system ***,in this study,a rowhammer attack detection technique is proposed by extracting common features of rowhammer attack files through a static analysis of rowhammer attack codes.

关键词： Rowhammer attack static analysis detecting technique side-channel attack bit flip

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Inverse Kinematics Analysis and COG Trajectory Planning Algorithms for Stable Walking of a Quadruped Robot with Redundant DOFs

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Journal of Bionic Engineering 2018年第4期15卷 610-622页

作者： Hyunkyoo Park Bokeon kwak Joonbum Bae LG-electronics Seou108592 Republic of Korea Department of Mechanical Engineering Ulsan National Institute of Science and Technology Ulsan 44919 Republic of Korea

This paper presents a new Center of Gravity （COG） trajectory planning algorithm for a quadruped robot with redundant Degrees of Freedom （DOFs）. Each leg has 7 DOFs, which allow the robot to exploit its kinematic redundancy for various locomotion and manipu- lation tasks. Also, the robot can suitably adapt to different environment （e.g., passing through a narrow gap） by simply changing the body posture. However, the robot has significant COG movement during the leg swinging phase due to the heavy leg weights; the weight of all the four legs takes up 80% of the robot＇s total weight. To achieve stable walking in the presence of undesired COG movements, a new COG trajectory planning algorithm was proposed by using a combined Jacobian of COG and centroid of a support polygon including a foot contact constraint. Additionally, the inverse kinematics of each leg was solved by modified improved Jacobian pseudoinverse （mIJP） algorithm. The mIJP algorithm could generate desired trajectories for the joints even when the robot＇s leg is in a singular posture. Owing to these proposed methods, the robot was able to perform various modes of locomotion both in simulations and experiments with improved stability.

关键词： legged robot redundant degree-of-freedoms stable walking center-of-gravity planning

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Optimal Checkpoint Placement on Real-Time Tasks with Harmonic Periods

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Journal of Computer Science & Technology 2012年第1期27卷 105-112页

作者： Seong Woo kwak Jung-Min Yang Department of Electronic Engineering Keimyung University Department of Electrical Engineering Catholic University of Daegu

This paper presents an optimal checkpoint strategy for fault-tolerance in real-time systems where transient faults occur in Poisson distribution. In our environment, multiple real-time tasks with different deadlines and harmonic periods are scheduled in the system by rate-monotonic algorithm, and checkpoints are inserted at a constant interval in each task. When a fault is detected, the system carries out rollback to the latest checkpoint and re-executes tasks. The maximum number of re-executable checkpoints and an equation to check schedulability are derived, and the optimal number of checkpoints is selected to maximize the probability of completing all the tasks within their deadlines.

关键词： checkpoint scheme real-time system fault-tolerance harmonic period rate-monotonic (RM) scheduling

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Semiconductor Multilayer Nanometrology with Machine Learning

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Nanomanufacturing and Metrology 2023年第2期6卷 37-54页

作者： Hyunsoo kwak Jungwon Kim Korea Advanced Institute of Science and Technology(KAIST) Daejeon 34141South Korea

We review the measurement methods and thickness characterization algorithms of semiconductor multilayer ***’s ultrahigh-density,high-energy-efficient three-dimensional semiconductor devices require an iterative semiconductor layer-stacking *** determination of nanometer-scale layer thickness is crucial for reliable semiconductor device *** this paper,we first review the commonly used semiconductor multilayer thickness measurement methods,including destructive and nondestructive measurement ***,we review two approaches for thickness characterization:model-based algorithms using a physical interpretation of multilayer structures and a method using data-driven machine *** the growing importance of semiconductor multilayer devices,we anticipate that this study will help in selecting the most appropriate method for multilayer thickness characterization.

关键词： Semiconductor multilayer devices Electron microscopy Spectrophotometry Spectroscopic ellipsometry Raman spectroscopy Thickness characterization Machine learning

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Machine Learning-Based Advertisement Banner Identification Technique for Effective Piracy Website Detection Process

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Computers, Materials & Continua 2022年第5期71卷 2883-2899页

作者： Lelisa Adeba Jilcha Jin kwak ISAA Lab. Department of AI Convergence NetworkAjou UniversitySuwon16499Korea Department of Cyber Security Ajou UniversitySuwon16499Korea

In the contemporary world, digital content that is subject to copyright is facing significant challenges against the act of copyright *** of dollars are lost annually because of this illegal act. The currentmost effective trend to tackle this problem is believed to be blocking thosewebsites, particularly through affiliated government bodies. To do so, aneffective detection mechanism is a necessary first step. Some researchers haveused various approaches to analyze the possible common features of suspectedpiracy websites. For instance, most of these websites serve online advertisement, which is considered as their main source of revenue. In addition, theseadvertisements have some common attributes that make them unique ascompared to advertisements posted on normal or legitimate websites. Theyusually encompass keywords such as click-words (words that redirect to installmalicious software) and frequently used words in illegal gambling, illegal sexual acts, and so on. This makes them ideal to be used as one of the key featuresin the process of successfully detecting websites involved in the act of copyrightinfringement. Research has been conducted to identify advertisements servedon suspected piracy websites. However, these studies use a static approachthat relies mainly on manual scanning for the aforementioned keywords. Thisbrings with it some limitations, particularly in coping with the dynamic andever-changing behavior of advertisements posted on these websites. Therefore,we propose a technique that can continuously fine-tune itself and is intelligentenough to effectively identify advertisement (Ad) banners extracted fromsuspected piracy websites. We have done this by leveraging the power ofmachine learning algorithms, particularly the support vector machine with theword2vec word-embedding model. After applying the proposed technique to1015 Ad banners collected from 98 suspected piracy websites and 90 normal orlegitimate websites, we were able to s

关键词： Copyright infringement piracy website detection online advertisement advertisement banners machine learning support vector machine word embedding word2vec

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s-REGULAR DIHEDRAL COVERINGS OF THE COMPLETE GRAPH OF ORDER 4

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Chinese Annals of Mathematics,Series B 2004年第1期25卷 57-64页

作者： FENGYANQUAN J.H.kwak DepartmentofMathematics NorthernJiaotongUniversityBeijing100044China CombinatorialandComputationalMathematicsCenter PohangUniversityofScienceandTechnologyPohang790-784Korea.

A graph is s-regular if its automorphism group acts regularly on the set of its s-arcs. An infinite family of cubic 1-regular graphs was constructed in [7] as cyclic coverings of the three-dimensional Hypercube, and a classification of all s-regular cyclic coverings of the complete bipartite graph of order 6 was given in [8] for each s ≥ 1, whose fibre-preserving automorphism subgroups act arc-transitively. In this paper, the authors classify all s-regular dihedral coverings of the complete graph of order 4 for each s ≥ 1, whose fibre-preserving automorphism subgroups act arc-transitively. As a result, a new infinite family of cubic 1-regular graphs is constructed.

关键词： s-regular graphs s-arc-transitive graphs Regular coverings

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Some results on covers of complete graphs

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Chinese Science Bulletin 2000年第9期45卷 796-798页

作者： kwak Jin Ho Mathematics Pohang University of Science and TechnologyPohang 790-784Korea

In the present note, (n, r, c)-covers with n = (2r -1 )c and bipartite double covers of complete graphs are classified.

关键词： cover distance-regular graph intersection array antipodal.

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Secure e-Prescription Management System:Mitigating Blended Threat in IoBE

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Computer Systems Science & Engineering 2023年第3期44卷 2501-2519页

作者： Deukhun Kim Heejin Kim Jin kwak ISAA Lab. Institute for Information and CommunicationAjou UniversitySuwon16499Korea Korea Orphan&Essential Drug Center(KOEDC) Seoul04523Korea Department of Cyber Security Ajou UniversitySuwon16499Korea

New information and communication technologies(ICT)are being applied in various industries to upgrade the value of the major service ***,data collection,storage,processing,and security applications have led to the creation of an interrelated ICT environment in which one industry can directly influence the *** is called the“internet of blended environ-ments”(IoBE),as it is an interrelated data environment based on internet-of-things collection *** this environment,security incidents may increase as size and interconnectivity of attackable operations ***,pre-emptive responses to combined security threats are needed to securely utilize IoBE across *** example,the medical industry has more stringent information protection measures than other ***,it has become a major target of attackers,as more clinician–patient interactions occur over the internet owing to ***,this study aims to acquire security for IoBE while focusing on the medical *** the various types of medical ICT services,this study analyzes dataflow and potential security threats from the e-prescription lifecycle perspective,which is highly utilized,strongly data-centric,and has numerous security *** on our analysis,we propose a secure authentication and data-sharing scheme.

关键词： Authentication scheme blended threat e-prescription internet of blended environments

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