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WoS SCOPUS Document Type Document Title Abstract Authors Affiliation ResearcherID (WoS) AuthorsID (SCOPUS) Author Email(s) Journal Name JCR Abbreviation ISSN eISSN Volume Issue WoS Edition WoS Category JCR Year IF JCR (%) FWCI FWCI Update Date WoS Citation SCOPUS Citation Keywords (WoS) KeywordsPlus (WoS) Keywords (SCOPUS) KeywordsPlus (SCOPUS) Language Publication Stage Publication Year Publication Date DOI JCR Link DOI Link WOS Link SCOPUS Link
Conference paper On the Scalability of Parking Trajectory Optimization of Autonomous Ground Vehicles Although the use of optimization-based algorithms for autonomous motion planning in the context of parking has been studied in the literature, most of the existing works were based on either unrealistic simulation environments or a single vehicle type or model. In order to support the deployment of such frameworks for real-world applications, the need for the scalability analysis of such optimization frameworks under realistic simulation environments as well as different vehicle types becomes important. Therefore this paper investigates the suitability of a two-stage optimization framework under a realistic simulation environment as well as using 4 different vehicle models. Specifically, the two-stage optimization process involves first the use of the A star algorithm for initial path generation, and in the second stage, Sequential Quadratic Programming (SQP) is used to optimize the results pathways. In terms of vehicle type, we employ four different vehicle types with different model parameters and evaluated the performance of the framework accordingly. The results show that also the optimization framework is capable of generating feasible parking trajectories, some vehicle types require more script run-time compared to others. © 2023 IEEE. Aboyeji, Esther; Ajani, Oladayo S.; Mallipeddi, Rammohan Kyungpook National University, Department of Artificial Intelligence, Daegu, South Korea; Kyungpook National University, Department of Artificial Intelligence, Daegu, South Korea; Kyungpook National University, Department of Artificial Intelligence, Daegu, South Korea 58406711200; 57465126000; 25639919900 aboyejitolulopeesther@gmail.com; International Conference on ICT Convergence 2162-1233 0.43 2025-06-25 1 Autonomous Driving; Parking Navigation and Maneuvers; Trajectory Optimization Aerodynamics; Autonomous vehicles; Ground vehicles; Intelligent vehicle highway systems; Motion planning; Quadratic programming; Scalability; Autonomous driving; Autonomous ground vehicles; Optimization framework; Parking navigation and maneuver; Realistic simulation; Simulation environment; Trajectory optimization; Two stage optimizations; Vehicle modelling; Vehicle types; Trajectories English Final 2023 10.1109/ictc58733.2023.10393642 바로가기 바로가기
Conference paper On The Security of PACMAN: Privacy-Preserving Authentication Scheme for Managing Cybertwin-Based 6G Networking Cybertwin-based cloud-centric networks are attracting considerable attention as new multiaccess edge computing network architecture in 6G networks. However, the sensitive data transmitted between the cybertwin and users/things via wireless communication can be intercepted and hijacked by malicious attackers, resulting in security threats and privacy concerns owing to leakage or abuse. Therefore, secure authentication and key agreement schemes are essential to ensure secure communication in cybertwin-based networks. In 2021, Soleymani et at. presented a privacy-preserving authentication scheme for managing cybertwin-based 6G netoworking (PACMAN). Soleymani et at. claimed that their scheme can satisfy privacy-preserving requirements and resist security threats. However, we demonstrates that PACMAN fails to achieve privacy-preserving requirement. Thus, we suggest the necessary security guidelines to achieve privacy-preserving and resolve the security risks of PACMAN. © 2023 IEEE. Kim, Myeonghyun; Son, Seunghwan; Park, Youngho; Park, Kilhoum Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea 57210278739; 57221744477; 56962990300; 35776805000 khpark@ee.knu.ac.kr; International Conference on Ubiquitous and Future Networks, ICUFN 2165-8528 2023-July 0 2025-06-25 0 authentication; Cryptanalysis; cybertwin; privacy-preserving; security Computer architecture; Mobile security; Network architecture; Network security; Privacy-preserving techniques; Queueing networks; Security systems; Sensitive data; Authentication scheme; Cryptanalyse; Cybertwin; Edge computing; Multiaccess; Privacy preserving; Privacy-preserving authentication; Security; Security threats; Sensitive datas; Authentication English Final 2023 10.1109/icufn57995.2023.10201074 바로가기 바로가기
Book chapter On the Structure of Conditionally Positive Definite Algebraic Operators Recently, the authors have introduced and intensively studied a class of bounded Hilbert space operators called conditionally positive definite. Its origins go back to the harmonic analysis on ∗-semigroups, namely to the concept of conditional positive definiteness. Our main aim here is to give a complete description of algebraic conditionally positive definite operators on inner product spaces; we do not assume that the operators under consideration are bounded. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. Jabłoński, Zenon Jan; Jung, Il Bong; Stochel, Jan Instytut Matematyki, Uniwersytet Jagielloński, ul, Łojasiewicza 6, Kraków, PL-30348, Poland; Department of Mathematics, Kyungpook National University, Daegu, 41566, South Korea; Instytut Matematyki, Uniwersytet Jagielloński, ul, Łojasiewicza 6, Kraków, PL-30348, Poland 6602624635; 7102964485; 6602273956 Jan.Stochel@im.uj.edu.pl; Multivariable Operator Theory: the Jörg Eschmeier Memorial Volume 0 2025-06-25 0 Algebraic operator; Conditional positive definiteness; Conditionally positive definite operator; Similarity English Final 2023 10.1007/s11785-022-01265-0 바로가기 바로가기
Proceedings Paper On the Value of Sequence-based System Call Filtering for Container Security One critical attack that exploits kernel vulnerabilities through system call invocations is considered a serious threat to container security since it results in the privilege escalation followed by the infamous container escape. The seccomp kernel feature provides the first line of defense against it. Further, secure container runtimes such as gVisor also make use of it to strengthen security. However, it is known to be brittle since it operates at the granularity of the individual system call. Inadvertent filtering of necessary system calls may inhibit the correct execution while overly generous rules allow the attacks. We believe that, by looking at the sequence of system calls, we can achieve more accurate and effective blocking of attacks in containers. To this end, we built a software tool, NIMOS, that performs a combination of static and dynamic analyses of exploit codes in an automated way and investigated the existence of such commonly occurring system call sequences. Then, we analyzed the expected defensive power from applying the sequence-based filtering mechanisms using a large set of collected kernel vulnerabilities to assess the feasibility. We found that there exist a significant number and forms of commonly appearing system call sequences that can be used as a clear signature of the class of attacks. We characterize these common system call sequences that exist among the exploit codes and evaluate the expected effectiveness of a sequence-based system call filtering mechanism for containers. Song, Somin; Suneja, Sahil; Le, Michael V.; Tak, Byungchul Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; IBM TJ Watson Res Ctr, Yorktown Hts, NY USA song, soming/HJZ-2029-2023 57943710100; 55813198500; 57190177825; 6506911621 sominsong@knu.ac.kr;suneja@us.ibm.com;mvle@us.ibm.com;bctak@knu.ac.kr; 2023 IEEE 16TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, CLOUD 2159-6182 2.01 2025-06-25 5 8 container security; Linux security; seccomp; Linux kernel vulnerability; system call sequence pattern container security; Linux kernel vulnerability; Linux security; seccomp; system call sequence pattern Linux; Container security; Filtering mechanism; Linux kernel; Linux kernel vulnerability; Linux security; Seccomp; Sequence patterns; System call sequence pattern; System calls; System-call sequence; Containers English 2023 2023 10.1109/cloud60044.2023.00043 바로가기 바로가기 바로가기
Conference paper On-Device Deep Learning-based Multiple Behavior Detection using IMU Motion Sensors This study proposes a system for monitoring the behavior of patients using an on-device deep learning-based inertial measurement unit (IMU) motion sensor. The wearable device captures the patient's four active behavior states (walking, eating, falling, and resting) using a three-dimensional accelerometer (ACC) and gyroscope (GYR). Five features, including mean value, standard deviation, median absolute deviation, minimum, and maximum, are applied to each 1- second segmented sample to extract the most significant characteristics from the signals. Four machine-learning approaches, such as support vector machines (SVM), multilayer perceptron neural network (MLP), long short-term memory (LSTM), and convolutional neural networks (CNNs), are used to evaluate the system's viability for different patient behavior identifications. The CNN algorithm showed the highest accuracy in patient behavior classification, surpassing the other algorithms by 92.68%. This algorithm is installed directly on the wearable device due to its exceptional performance, increasing system efficiency, and decreasing data transmission and connection latency. Additionally, a software program installed on the computer helps obtain necessary data from the wearable device through Bluetooth. It enables doctors, nurses, or supervisors to monitor a patient's behavior and other relevant information. The study's analysis results demonstrate the reliability of the device-based deep learning system for patient behavior recognition. © 2023 IEEE. Kim, Dong-Eon; Mai, Ngoc-Dau; Han, Dong Seog Kyungpook National University, Center for Ict and Automotive Convergence, Daegu, South Korea; Ai Research Laboratory, Visionin, Seoul, South Korea; Kyungpook National University, School of Electronic and Electrical Engineering, Daegu, South Korea 58556670400; 57222326137; 7403219442 dshan@knu.ac.kr; International Conference on Ubiquitous and Future Networks, ICUFN 2165-8528 2023-July 0.99 2025-06-25 2 Behavior Detection; Deep learning; Edge machine learning; IMU Behavioral research; Convolutional neural networks; Learning systems; Long short-term memory; Multilayer neural networks; Reliability analysis; Wearable sensors; Active behaviours; Behavior detection; Convolutional neural network; Deep learning; Edge machine learning; Inertial measurements units; Machine-learning; Mean values; Motion sensors; Wearable devices; Support vector machines English Final 2023 10.1109/icufn57995.2023.10200343 바로가기 바로가기
Conference paper On-sky point spread function analysis for the off-axis freeform three-mirror telescope We have acquired on-sky point spread functions through a year-long test run using a 300 mm off-axis freeform three mirror telescope. We present the observational data along with comprehensive simulation results. © 2023 The Author (s). Lee, Gayoung; Kim, Yunjong; Kim, Daewook; Byun, Woowon; Chang, Seunghyuk; Ko, Jongwan Kyungpook National University, Daegu, 41566, South Korea, Korea Astronomy and Space Science Institute, Daejeon, 34055, South Korea; Korea Astronomy and Space Science Institute, Daejeon, 34055, South Korea; Wyant College of Optical Sciences, University of Arizona, Tucson, 85721, AZ, United States; Korea Astronomy and Space Science Institute, Daejeon, 34055, South Korea; Center for Integrated Smart Sensors, Daejeon, 34141, South Korea; Korea Astronomy and Space Science Institute, Daejeon, 34055, South Korea, University of Science and Technology, Korea, Daejeon, 34113, South Korea 57846551600; 57203310827; 57219213285; 57216758314; 12759772300; 18434193800 yjkim@kasi.re.kr; Optical Fabrication and Testing in Proceedings Optica Design and Fabrication Congress 2023, IODC, OFT - Part of Optica Design and Fabrication Congress 4.27 2025-06-25 4 Mirrors; Optical design; Telescopes; Freeforms; Function analysis; Observational data; Off-axis; Point-Spread function; Test runs; Optical transfer function English Final 2023 바로가기
Book chapter One-Dimensional Governing Equations and Finite Element Formulation Chapter 1 suggests that the three-dimensional displacements on the midline of a cross-sectional wall can be expressed as products of the generalized 1D displacements and sectional shape functions. The displacements at a general point on a cross-section are calculated using those on the midline based on the kinematic assumption Kirchhoff’s thin plate theory, i.e., the assumption of no shear and normal strains in the thickness direction (εnn= γns= γzn= 0 ). The local coordinates (z, n, s) defined on the midline of a cross-sectional wall will be used to facilitate the expression of the strain field from the three-dimensional displacements. A two-dimensional stress field can be derived assuming a plane-stress state (i.e.,σnn=τns=τzn=0) for thin walls. © 2023, Springer Nature Singapore Pte Ltd. Kim, Yoon Young; Jang, Gang-Won; Choi, Soomin Department of Mechanical Engineering, Seoul National University, Seoul, South Korea; Department of Mechanical Engineering, Sejong University, Seoul, South Korea; School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea 36062771200; 7102646127; 56124305600 yykim@snu.ac.kr; Solid Mechanics and its Applications 0925-0042 257 0 2025-06-25 0 Finite element method; Finite element formulations; Governing equations; Kinematic assumptions; Kirchhoff; Normal strain; One-dimensional; Shape functions; Thickness direction; Thin plate theory; Three-dimensional displacements; Strain English Final 2023 10.1007/978-981-19-7772-5_3 바로가기 바로가기
Conference paper Optical-see-through near-eye-display with 3D occlusion We propose an augmented reality near-eye-display which can present varifocal virtual images with corresponding masks. The varifocal mask occludes the real scene behind the virtual images, enhancing their visibility. © 2023 The Author (s). Park, Jae-Hyeung; Han, Woongseob; Lee, Jae-Won; Shin, Jung-Yeop; Choi, Myeong-Ho; Kim, Hak-Rin Department of Electrical and Computer Engineering, Inha University, 100 Inha-ro, Michuhol-gu, Incheon, 22212, South Korea; Department of Electrical and Computer Engineering, Inha University, 100 Inha-ro, Michuhol-gu, Incheon, 22212, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea; Department of Electrical and Computer Engineering, Inha University, 100 Inha-ro, Michuhol-gu, Incheon, 22212, South Korea; School of Electronic and Electrical Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, South Korea 36067259500; 57410596200; 58377059800; 57956975700; 57211561152; 7410124944 jh.park@inha.ac.kr; 3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023 0 2025-06-25 0 Augmented reality; Three dimensional displays; Image enhancing; Optical see-through; Virtual images; Image enhancement English Final 2023 10.1364/3d.2023.dw4a.2 바로가기 바로가기
Conference paper Optimal evacuation path search scheme for fire situations using 5G communication technology This paper proposes an enhanced A∗ algorithm for optimizing evacuation routes within buildings during a fire outbreak. One important research topic is finding the safest and quickest evacuation route considering the structure of the building and the location of the fire when it occurs. The proposed technique employs a multisensor-based fire detection system facilitated by 5G communication technology, enabling not only fire detection but also assessment of potential evacuation routes considering various factors such as smoke, heat, and population density. Ultimately, it provides a route to safely evacuate to the destination. The technique proposed in this paper enhances the conventional path-finding A∗ algorithm by designating waypoints, setting optimal paths, and thus solving the problems resulting from the traditional A∗ algorithm, which simply designates a path from the starting point to a simple target. The proposed scheme leverages 5G communication technology to apply to building and fire map data, finding the optimal path from the starting point to the destination and selecting the path with the least cost from these routes. This approach provides a safe and efficient route for evacuees during a fire outbreak. In performance verification under simulation conditions, the proposed technique was validated to determine a route to the destination with a minimum cost, showing superiority over the conventional A∗ algorithm. The simulation results confirm that the proposed technique can process more data compared to the existing scheme. © 2023 IEEE. Yoon, Mahnsuk; Lim, Gilhwan; Kwon, Jaeuk; Choi, Hyunchul; Lee, Hyunjoo; Cho, Kyucheol GERI(Gumi Electronics and Information Technology Research Institute), Future Mobile Communication Research Center, Gumi, South Korea; Research Institute Daon Co., Ltd., Gumi, South Korea; GERI(Gumi Electronics and Information Technology Research Institute), Future Mobile Communication Research Center, Gumi, South Korea; Research Institute Daon Co., Ltd., Gumi, South Korea; GERI(Gumi Electronics and Information Technology Research Institute), Future Mobile Communication Research Center, Gumi, South Korea; Software Education Center Kyungpook National University, School of Computer Secience and Engineering, Daegu, South Korea 57203640624; 57991627800; 57991576500; 57991627900; 57991677700; 26031217700 yms@geri.re.kr; International Conference on ICT Convergence 2162-1233 0.43 2025-06-25 1 5G Communication Technology; Fire Detection and Evacuation; Multi-Sensor Based Systems 5G mobile communication systems; Fire detectors; Population statistics; Smoke; 5g communication technology; A* algorithm; Communicationtechnology; Evacuation routes; Fire detection; Fire evacuation; Fire outbreak; Multi sensor; Multi-sensor based system; Sensor based systems; Fires English Final 2023 10.1109/ictc58733.2023.10393282 바로가기 바로가기
Proceedings Paper Optimal Power Regulating for Wind Turbine with LQR and Disturbance Accommodation Pitch Control For variable speed variable pitch wind turbine with constant torque control, PI variable pitch control is often used as traditional control strategies. The drive-train damping is too small, which is easy to cause resonance under wind disturbance. Based on the optimal control theory, this paper establishes a control-oriented model considering the dynamic of the drive-train, generator and pitch actuator. Controller is designed by using Disturbance Accommodation Control (DAC) augmented model which is an enhanced version of Linear Quadratic Regulator (LQR). Then, state is obtained and the disturbance is reconstructed by selecting suitable gain matrix of observer. In order to verify the effectiveness of the proposed method, the LQR and PID controller are implemented on MATLAB/Simulink. The results show that LQR method has better adjustment effect on output power. Wen, Haoyuan; Liu, Yajuan; Lee, S. M.; Park, Ju H. North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea; Yeungnam Univ, Dept Elect Engn, Daegu, South Korea Park, Ju H./J-8796-2012; Lee, Sangmoon/C-4502-2018 58478825000; 55255775300; 59510733500; 15036553900 wenhaoyuan3845@163.com;yajuan.liu.12@gmail.com;moony@knu.ac.kr;jessie@ynu.ac.k; 2023 9TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS, ICCAR 2251-2446 2251-2454 1.6 2025-06-25 2 4 wind turbine; LQR; pitch control; disturbance accommodation control DESIGN disturbance accommodation control; LQR; pitch control; wind turbine Controllers; Three term control systems; Accommodation control; Disturbance accommodation; Disturbance accommodation control; Drive train; Linear quadratic; Linear quadratic regulator; Optimal power; Pitch-control; Quadratic regulators; Variable speed-variable pitches; Wind turbines English 2023 2023 10.1109/iccar57134.2023.10151773 바로가기 바로가기 바로가기
Article Optimizing combination of cryoprotective additives to enhance the viability of probiotic Lactobacillus plantarum; [Lactobacillus plantarum의 생존성 증진을 위한 동결보호제 조합 최적화] Freeze-drying is widely used to stabilize lactic acid bacteria products for storage and distribution. This lyophilization process damages microbial cells, so improving cell viability during the process is necessary. We evaluated cryoprotective additives to maximize the survival rate of probiotic Lactobacillus plantarum during lyophilization and storage. We used mathematical factorial designs, including Plackett-Burman design (PBD) and central composite design (CCD), to optimize the screening process and types and composition of cryoprotectants. Trehalose, skim milk, and monosodium glutamate (MSG) showed higher protection effects than the other candidates in experiments and PBD. A combination of skim milk (5.1%), trehalose (10.55%), and MSG (4.72%) was predicted as the best composition of the cryoprotectants by employing CCD. The survival rate was determined experimentally and predictively as approximately 80% with this combination, which was 2.67 times higher than the protective effect of 10% skim milk widely used as a cryoprotective additive in laboratories. This study highlights the importance of precise processing for the distribution of probiotics, and suggests a method for selecting proper cryoprotectants to maximize the viability of probiotic bacteria. © Copyright 2023, The Microbiological Society of Korea Li, Yuling; Kim, Whee-Soo; Lee, Sang-Mok; Hong, Liang; Kang, Sang-Kee; Cho, Chong-Su; Choi, Yun-Jaie; Lee, Jun-Yeong Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826, South Korea; Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826, South Korea; Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826, South Korea; Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826, South Korea; Institute of Green-Bio Science & Technology, Seoul National University, Pyeongchang, 25354, South Korea; Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826, South Korea, Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, South Korea; Department of Agricultural Biotechnology, Seoul National University, Seoul, 08826, South Korea; School of Life Sciences, BK21 FOUR KNU Creative BioResearch Group, Kyungpook National University, Daegu, 41566, South Korea 57240627200; 57201639395; 57203597282; 57201643131; 8313343600; 55430062200; 57226210461; 56428518900 junyeong@knu.ac.kr;cyjcow@snu.ac.kr; Korean Journal of Microbiology 0440-2413 59 2 0.16 2025-06-25 1 cryoprotectant; freezedrying; Lactobacillus plantarum; monosodium glutamate; skim milk; trehalose English Final 2023 10.7845/kjm.2023.3020 바로가기 바로가기
Proceedings Paper Optimizing Memory Allocation in a Serverless Architecture through Function Scheduling In a serverless architecture, a function does not fully utilize the allocated memory. Such memory over-allocation increases node utilization and wastes resources, causing cold-start and latency issues. This paper presents a fine-grained scheduling approach for a serverless architecture that aims to address the issue of over-memory allocation and improve data locality. The proposed approach estimates how much memory each function uses so that similar functions can be scheduled on the same node. As a result, it makes less use of each node and keeps the state within a single node. We evaluated our approach through the existing FaaS applications and real-world data. Pandey, Manish; Kwon, Young Woo Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea Kwon, Young-Woo/HGE-6607-2022; Pandey, Manish/J-6825-2019 57239896800; 57208480210 manishpandeyabc@gmail.com;ywkwon@knu.ac.kr; 2023 IEEE/ACM 23RD INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING WORKSHOPS, CCGRIDW 1.47 2025-06-25 1 3 Serverless computing; scheduling; resource utilization and resource utilization; scheduling; Serverless computing And resource utilization; Cold-start; Data locality; Fine grained; Node utilizations; Real-world; Resources utilizations; Serverless architecture; Serverless computing; Waste resources; Memory architecture English 2023 2023 10.1109/ccgridw59191.2023.00056 바로가기 바로가기 바로가기
Proceedings Paper Ordinal Regression for Beef Grade Classification Beef, one of the leading meat consumed by humans, is classified into five categories: 1++, 1+, 1, 2, 3 in South Korea. These grades are directly determined by professional judges, who check the status of the meat with their eyes. This procedure may be subjective because there is no quantified criterion, and it may cost a considerable time. In this paper, we propose a deep learning algorithm to alleviate this problem. By using deep learning, the beef grade can be classified faster and by more objective criteria. In addition, we redefined the problem with the original regression to consider the order of grades, and it achieves higher performance than training the model with a hard label. Furthermore, through ensemble learning with various ordinal regression models, we achieved the highest performance without significantly increasing resource usage. Lee, Chaehyeon; Hong, Jiuk; Lee, Jonghyuck; Choi, Taehoon; Jung, Heechul Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu, South Korea; Seoreu Co Ltd, Busan, South Korea Jung, Heechul/HTL-7199-2023 57222731243; 57353688600; 57491056900; 58121526900; 55652175200 123456ccdd@knu.ac.kr;hong4497@knu.ac.kr;jhlee@seoreu.com;choi_th@seoreu.com;heechul@knu.ac.kr; 2023 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, ICCE 0 2025-06-25 0 0 Deep learning; convolutional neural network; classification; ordinal regression; ensemble learning classification; convolutional neural network; Deep learning; ensemble learning; ordinal regression Convolutional neural networks; Deep learning; Learning algorithms; Learning systems; Classifieds; Convolutional neural network; Deep learning; Ensemble learning; Objective criteria; Ordinal regression; Performance; Regression modelling; Resource usage; South Korea; Beef English 2023 2023 10.1109/icce56470.2023.10043530 바로가기 바로가기 바로가기
Conference paper Outdoor Long Range Ubiquitous Projectiles Tracking System Using P-MPLR and Computer Vision A growing body of research has been dedicated to investigating systems for quickly detecting and pinpointing the location of projectiles aimed at a target. Various studies and products have demonstrated the feasibility of predicting the point of origin for a shot. However, existing tools come with limitations and inconveniences. This study aims to introduce a model that achieves highly accurate and low-latency tracking of shot origins during long-range shooting, free from constraints, by incorporating LoRa, computer vision, and sound detection technologies. The proposed system commences with an initial photograph captured by a camera positioned near the target. Whenever the adjacent acoustic sensor detects a fired projectile, the camera captures a new image, triggering the Raspberry Pi located beside the target to calculate the coordinates of the shot by comparing it with the previous image. When compared to the actual bullet mark, the predicted bullet mark's error remains under 1 mm. This paper's proposal showcases accuracy suitable for integration into military intelligence training systems, offering a cost-effective solution. © 2023 IEEE. Kim, Minjae; Choi, Woojin; Jeong, Hansu; Lee, Sophia; Moon, Jeongwon; O'Sullivan, Ethan; Na, Donghyeon; Smith, Anthony Kyung Hee University, Yongin, South Korea; Sun Moon University, Asan, South Korea; Sangmyung University, Seoul, South Korea; Purdue University, West Lafayette, United States; Kyungpook National University, Daegu, South Korea; Purdue University, West Lafayette, United States; Sangmyung University, Seoul, South Korea; Purdue University, West Lafayette, United States 58842511300; 59033767000; 58875856300; 58876219700; 58875145300; 58875856400; 58876040700; 55599443800 kmj5596@khu.ac.kr; International Conference on ICT Convergence 2162-1233 0 2025-06-25 0 Computer vision; LoRa; Sound detection Cameras; Cost effectiveness; Projectiles; Tracking (position); Acoustic Sensors; Detection technology; Fired projectiles; Growing bodies; Highly accurate; Lora; Low latency; Projectile tracking; Sound detection; Tracking system; Computer vision English Final 2023 10.1109/ictc58733.2023.10393144 바로가기 바로가기
Article Overview and Prevention of Complications During Full-Endoscopic Cervical Spine Surgery Objective: Posterior full-endoscopic cervical foraminotomy/discectomy (PECF) is used to treat medically intractable cervical radiculopathy. PECF has many potential advantages; however, despite its minimally invasive nature, complications of PECF are possible, including hemorrhage, infection, injury to neural tissue, damage to the facet joint and musculature, loss of cervical lordosis, and subsequent progression to cervical kyphosis. We examined complications following PECF and reviewed the relevant literature. Methods: We retrospectively reviewed 101 patients who underwent PECF for either disc herniation (DH, 59 patients) or foraminal stenosis (FS, 42 patients). After surgery, the patients were encouraged to ambulate and were discharged 2–3 days later without the use of a neck collar. Events occurring during hospitalization were documented in the hospital information system. Patients were followed-up for a mean period of 21±26 months (range, 1–110 months). Results: Clinical parameters improved from 1 month postoperatively and were maintained throughout the follow-up period, with no significant differences between the DH and FS groups (p>0.05). Complications occurred in 14 patients (14%) with no significant difference between the DH (8 of 59, 14%) and FS (6 of 42, 14%) groups (p>0.05). The most common complication was dural tear, followed by motor weakness, sensory changes, hematoma collection, incomplete decompression, reoperation, and wrong-level surgery. Two patients underwent reoperation due to symptomatic hematoma collection and symptom recurrence 3 years postoperatively. Conclusion: The incidence of complications following PECF was 14%. Although most were transient, an understanding of both reported and unreported complications, along with thorough preparation, could reduce the occurrence of PECF-associated complications. © 2023 Korean Minimally Invasive Spine Surgery Society. Kim, Young-Rak; Kim, Jun-Hoe; Park, Tae-Hwan; Park, Hangeul; Kim, Sum; Lee, Chang-Hyun; Kim, Kyoung-Tae; Chung, Chun Kee; Kim, Chi Heon Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea; Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea; Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea; Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea; Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea; Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea, Department of Neurosurgery, Seoul National University College of Medicine, Seoul, South Korea; Department of Neurosurgery, School of Medicine, Kyungpook National University, Daegu, South Korea, Department of Neurosurgery, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea; Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea, Department of Neurosurgery, Seoul National University College of Medicine, Seoul, South Korea, Department of Brain and Cognitive Sciences, Seoul National University, Seoul, South Korea; Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea, Department of Neurosurgery, Seoul National University College of Medicine, Seoul, South Korea, Department of Medical Device Development, Seoul National University College of Medicine, Seoul, South Korea 57222335356; 57854370000; 58555501300; 57221731362; 58609171200; 56942572100; 57201369790; 7403613043; 35145892000 chiheon1@snu.ac.kr; Journal of Minimally Invasive Spine Surgery and Technique 2508-2043 8 2 0.25 2025-06-25 1 Complication; Endoscopy; Minimally invasive surgical procedure; Spine; Surgery English Final 2023 10.21182/jmisst.2023.00892 바로가기 바로가기
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WoS Web of Science. Clarivate Analytics에서 제공하는 학술 데이터베이스입니다. 해당 논문이 WoS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
SCOPUS Elsevier에서 제공하는 세계 최대 규모의 초록 및 인용 데이터베이스입니다. 해당 논문이 SCOPUS에 수록되어 있는지 여부를 표시합니다 (○: 수록됨).
Document Type 문헌의 유형을 나타냅니다. Article(원저), Review(리뷰), Proceeding Paper(학회논문), Editorial Material(편집자료), Letter(레터) 등으로 분류됩니다.
Title 논문의 제목입니다.
Abstract 논문의 초록(요약)입니다. 연구의 목적, 방법, 결과, 결론을 간략히 요약한 내용입니다.
Authors 논문의 저자 목록입니다. 공동 저자가 여러 명인 경우 세미콜론(;)으로 구분됩니다.
Affiliation 저자들의 소속 기관 정보입니다. 대학, 연구소, 기업 등 저자가 소속된 기관명이 표시됩니다.
ResearcherID (WoS) Web of Science의 고유 연구자 식별번호입니다. 동명이인을 구분하고 연구자의 업적을 정확하게 추적할 수 있습니다.
AuthorsID (SCOPUS) SCOPUS의 고유 저자 식별번호입니다. 연구자의 모든 출판물을 추적하고 관리하는 데 사용됩니다.
Journal 논문이 게재된 학술지의 정식 명칭입니다.
JCR Abbreviation Journal Citation Reports에서 사용하는 저널의 공식 약어입니다. 저널을 간략하게 표기할 때 사용됩니다.
ISSN International Standard Serial Number. 국제표준연속간행물번호로, 인쇄본 저널에 부여되는 고유 식별번호입니다.
eISSN Electronic ISSN. 전자 버전 저널에 부여되는 고유 식별번호입니다.
Volume 저널의 권(Volume) 번호입니다. 보통 연도별로 하나의 권이 부여됩니다.
Issue 저널의 호(Issue) 번호입니다. 한 권 내에서 여러 호로 나누어 출판되는 경우가 많습니다.
WoS Edition Web of Science의 에디션입니다. SCIE(Science Citation Index Expanded), SSCI(Social Sciences Citation Index), AHCI(Arts & Humanities Citation Index) 등으로 구분됩니다.
WoS Category Web of Science의 주제 분류 카테고리입니다. 저널과 논문이 속한 학문 분야를 나타냅니다.
JCR Year 해당 저널의 JCR(Journal Citation Reports) 지표가 산출된 연도입니다.
IF (Impact Factor) 저널 영향력 지수. 최근 2년간 발표된 논문이 해당 연도에 평균적으로 인용된 횟수를 나타냅니다. 저널의 학술적 영향력을 나타내는 대표적인 지표입니다.
JCR (%) 해당 카테고리에서 저널이 위치하는 상위 백분율입니다. 값이 낮을수록 우수한 저널임을 의미합니다 (예: 5%는 상위 5%를 의미).
FWCI Field-Weighted Citation Impact. 분야별 가중 인용 영향력 지수입니다. 논문이 받은 인용을 동일 분야, 동일 연도, 동일 문헌 유형의 평균과 비교한 값입니다. 1.0이 평균이며, 1.0보다 높으면 평균 이상의 인용을 받았음을 의미합니다.
FWCI UpdateDate FWCI 값이 마지막으로 업데이트된 날짜입니다. FWCI는 인용이 누적됨에 따라 주기적으로 업데이트됩니다.
WOS Citation Web of Science에서 집계된 해당 논문의 총 인용 횟수입니다.
SCOPUS Citation SCOPUS에서 집계된 해당 논문의 총 인용 횟수입니다.
Keywords (WoS) 저자가 논문에서 직접 지정한 키워드입니다. Web of Science에 등록된 저자 키워드 목록입니다.
KeywordsPlus (WoS) Web of Science에서 자동으로 추출한 추가 키워드입니다. 논문의 참고문헌 제목에서 자주 등장하는 단어들로 생성됩니다.
Keywords (SCOPUS) 저자가 논문에서 직접 지정한 키워드입니다. SCOPUS에 등록된 저자 키워드 목록입니다.
KeywordsPlus (SCOPUS) SCOPUS에서 자동으로 추출하거나 추가한 색인 키워드입니다.
Language 논문이 작성된 언어입니다. 대부분 English이며, 그 외 다양한 언어로 작성된 논문이 포함될 수 있습니다.
Publication Year 논문이 출판된 연도입니다.
Publication Date 논문의 정확한 출판 날짜입니다 (년-월-일 형식).
DOI Digital Object Identifier. 디지털 객체 식별자로, 논문을 고유하게 식별하는 영구적인 식별번호입니다. 이를 통해 논문의 온라인 위치를 찾을 수 있습니다.