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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 |
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| ○ | Article | Physicochemical Properties and Volatile Flavor Compounds of Unripe Peach Sugaring Solutions with Pectinase | This study investigated the effects of pectinase treatment on the physicochemical properties, antioxidant capacities, and volatile flavor compounds of unripe peach sugaring solutions. Three different unripe peaches including white peach, nectarine, and yellow peach were mixed with fructooligosaccharide, and treated with or without pectinase, and stored for 5 weeks. The pectinase treatment in unripe peach sugaring solutions increased the content of soluble solids and titratable acidity while it decreased pH when compared to the non-treated sample. The content of free sugars such as fructose and glucose increased with the pectinase treatment, but maltose was not detected in all varieties. Organic acid content, citric acid, malic acid, and succinic acid were diminished, whereas tartaric acid, lactic acid, and acetic acid increased after pectinase treatment. Among the unripe peach varieties, white peach showed the highest radical scavenging activity, regardless of the pectinase treatment, in both 2,2-diphenyl-1-picrylhydrazyl and 2,2'-azinobis- 3-ethylbenzothiazoline-6-sulfonic acid assays. On the other hand, pectinase treatment caused an increase in antioxidant activity in all peach varieties. The content of phenolic compounds and flavonoids increased in all varieties following pectinase treatment. The total content of phenolic compounds was the highest in white peach, and the total flavonoid content was the highest in nectarine. In gas chromatography/mass spectrometry (GC/MS) analysis, 15 volatile flavor compounds were identified including 9 aldehydes, 2 esters, 1 acid, 1 alcohol, and 2 other types. In all varieties, volatile flavor compounds increased with pectinase treatment. Taken together, it can be concluded that pectinase treatment improved overall quality characteristics of unripe peach sugaring solution. © 2021 Korean Society of Food Science and Nutrition. All rights reserved. | Hwang, Hee-Young; Kim, Mee-Jeoung; Park, Seung-Woo; Jeong, Woo-Sik | GyeongSangbuk-do Government Public Institute of Health and Environment, South Korea, School of Food Science and Biotechnology, Kyungpook National University, South Korea; GyeongSangbuk-do Government Public Institute of Health and Environment, South Korea; GyeongSangbuk-do Government Public Institute of Health and Environment, South Korea; School of Food Science and Biotechnology, Kyungpook National University, South Korea | 57217235580; 57386611900; 57217232928; 10440750200 | wsjeong@knu.ac.kr; | Journal of the Korean Society of Food Science and Nutrition | 1226-3311 | 50 | 0 | 2025-07-30 | 0 | Antioxidant; Pectinase; Sugaring; Unripe peach; Volatile flavor compound | Korean | Final | 2021 | 10.3746/jkfn.2021.50.11.1188 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | ○ | Article | Physiologically-based pharmacokinetic model for clozapine in Korean patients with schizophrenia | Clozapine has been used as a treatment of schizophrenia. Despite its large interindividual variability, few reports addressed the physiologically-based pharmacokinetic modeling and simulation (PBPK M&S) of clozapine in patients. This study aimed to develop a PBPK M&S of clozapine in Korean patients with schizophrenia. PBPK modeling for clozapine was constructed using a population-based PBPK platform, the SimCYP (R) Simulator (V19; Certara, Sheffield, UK). The PBPK model was developed by optimizing the physiological parameters of the built-in population and compound libraries in the SimCYP (R) Simulator. The model verification was performed with the predicted/observed ratio for pharmacokinetic parameters and visual predictive checks (VPCs) plot. Simulations were performed to predict toxicities according to dosing regimens. From published data, 230 virtual trials were simulated for each dosing regimen. The predicted/observed ratio for the area under the curve and peak plasma concentration was calculated to be from 0.78 to 1.34. The observation profiles were within the 5th and 95th percentile range with no serious model misspecification through the VPC plot. A significant impact on age and gender was found for clozapine clearance. The simulation results suggested that 150 mg twice a day and 150 mg three times a day of clozapine have toxicity concerns. In conclusion, a PBPK model was developed and reasonable parameters were made from the data of Korean patients with schizophrenia. The provided model might be used to predict the pharmacokinetics of clozapine and assist dose adjustment in clinical settings. | Lee, Joomi; Kim, Min-Gul; Jeong, Hyeon-Cheol; Shin, Kwang-Hee | Kyungpook Natl Univ, Coll Pharm, Res Inst Pharmaceut Sci, 80 Daehak Ro, Daegu 41566, South Korea; Jeonbuk Natl Univ Hosp, Ctr Clin Pharmacol, Jeonju 54907, South Korea; Jeonbuk Natl Univ Hosp, Biomed Res Inst, Jeonju 54907, South Korea; Jeonbuk Natl Univ, Sch Med, Dept Pharmacol, Jeonju 54907, South Korea | 53064009800; 38260938400; 57196346934; 35216279300 | kshin@knu.ac.kr; | TRANSLATIONAL AND CLINICAL PHARMACOLOGY | 2289-0882 | 2383-5427 | 29 | 1 | 0.96 | 2025-07-30 | 10 | 10 | Clozapine; PBPK; Korean; Schizophrenia Patients | PLASMA-LEVELS; POPULATION PHARMACOKINETICS; SERUM CONCENTRATIONS; SMOKING-BEHAVIOR; CYP1A2 ACTIVITY; NORCLOZAPINE; GENDER; AGE; BIOEQUIVALENCE; METABOLITES | Clozapine; Korean; PBPK; Schizophrenia Patients | clozapine; cytochrome P450; cytochrome P450 1A2; cytochrome P450 2C9; cytochrome P450 2D6; cytochrome P450 3A4; absorption parameters; adult; age; area under the curve; Article; clinical article; drug absorption; drug bioavailability; drug clearance; drug interaction; drug metabolism; female; fraction absorbed; gender; human; Korean (people); library; liquid chromatography-mass spectrometry; male; mass spectrometry; maximum concentration; maximum plasma concentration; pharmacodynamics; pharmacokinetic parameters; pharmacokinetics; receiver operating characteristic; schizophrenia; sensitivity analysis; sensitivity and specificity; simulation; time to maximum plasma concentration; volume of distribution | English | 2021 | 2021-03 | 10.12793/tcp.2021.29.e3 | 바로가기 | 바로가기 | 바로가기 | |||||||||
| ○ | ○ | Article | Plastome Characterization and Phylogenomic Analysis Yield New Insights into the Evolutionary Relationships among the Species of the Subgenus Bryocles (Hosta; Asparagaceae) in East Asia | The genus Hosta, which has a native distribution in temperate East Asia and a number of species ranging from 23 to 40, represents a taxonomically important and ornamentally popular plant. Despite its taxonomic and horticultural importance, the genus Hosta has remained taxonomically challenging owing to insufficient diagnostic features, continuous morphological variation, and the process of hybridization and introgression, making species circumscription and phylogenetic inference difficult. In this study, we sequenced 11 accessions of Hosta plastomes, including members of three geographically defined subgenera, Hosta, Bryocles, and Giboshi, determined the characteristics of plastomes, and inferred their phylogenetic relationships. We found highly conserved plastomes among the three subgenera, identified several mutation hotspots that can be used as barcodes, and revealed the patterns of codon usage bias and RNA editing sites. Five positively selected plastome genes (rbcL, rpoB, rpoC2, rpl16, and rpl20) were identified. Phylogenetic analysis suggested (1) the earliest divergence of subg. Hosta, (2) non-monophyly of subg. Bryocles and its two sections (Lamellatae and Stoloniferae), (3) a sister relationship between H. sieboldiana (subg. Giboshi) and H. ventricosa (subg. Bryocles), and (4) reciprocally monophyletic and divergent lineages of H. capitata in Korea and Japan, requiring further studies of their taxonomic distinction. | Yang, JiYoung; Choi, Mi-Jung; Kim, Seon-Hee; Choi, Hyeok-Jae; Kim, Seung-Chul | Kyungpook Natl Univ, Coll Nat Sci, Res Inst Ulleungdo & Dokdo, Daegu 41566, South Korea; Changwon Natl Univ, Dept Biol & Chem, Chang Won 51140, South Korea; Sungkyunkwan Univ, Dept Biol Sci, Suwon 16419, South Korea | ; Kim, Seung-Chul/AAR-6157-2020 | 55193226000; 57192158157; 57196226213; 58729184000; 57214983739 | whity@daum.net;chlal1007@gmail.com;desfilles@naver.com;hjchoi1975@changwon.ac.kr;sonchus96@skku.edu; | PLANTS-BASEL | 2223-7747 | 10 | 10 | 0.6 | 2025-07-30 | 10 | 9 | Hosta; Asparagaceae; RNA editing; mutation hotspots; positive selection; Hosta capitata | SYNONYMOUS CODON USAGE; CHLOROPLAST; GENES; SELECTION; GENOME; PLANT; ORGANIZATION; PROGRAM; BIAS | Asparagaceae; Hosta; Hosta capitata; Mutation hotspots; Positive selection; RNA editing | English | 2021 | 2021-10 | 10.3390/plants10101980 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | Book chapter | Port Performance Measurement From a Multistakeholder Perspective | This chapter describes the port performance measurement from a multi-stakeholder perspective. It first quantifies the interdependency among port performance measures, and combines the weights and evaluations of qualitative and quantitative measures from multiple stakeholders for overall port performance measurement. It uses the hybrid of a fuzzy logic based evidential reasoning (FER) method, a decision-making trial and evaluation laboratory (DEMATEL) and an analytic network process (ANP) technique to deal with the inherent data uncertainties and the interdependencies among the port performance indicators (PPIs). An analysis of four major container ports in South Korea is conducted to demonstrate the identified PPIs and the synthesis of their evaluations in practice. The finding offers a diagnostic instrument to ports/terminals performance evaluation and/or monitoring to satisfy different requirements of various groups of port stakeholders in a flexible manner. © 2021 Elsevier Ltd. All rights reserved | Ha, Min-Ho; Yang, Zaili; Seo, Young-Joon | Graduate School of Logistics, Incheon National University, Incheon,, South Korea; Liverpool Logistics Offshore and Marine Research Institute (LOOM), Liverpool John Moores University, Liverpool, United Kingdom; School of Economics & Trade, Kyungpook National University, Daegu, South Korea | 57194019093; 23098725200; 56999695700 | International Encyclopedia of Transportation: Volume 1-7 | 4 | 2.83 | 2025-07-30 | 3 | Container port; Korean container port systems; Port performance indicator (PPI); Port performance measurement (PPM); Port stakeholder | English | Final | 2021 | 10.1016/b978-0-08-102671-7.10506-8 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | ○ | Proceedings Paper | Positional estimation of invisible drone using acoustic array with A-shaped neural network | Image-based object detection is a commonly used algorithm for anti-drone surveillance system. However, there is a disadvantage that it cannot he detected if the target is not visible within the image. In this paper, we propose drone position estimation algorithm using acoustic array to detect objects complementing the difficulty of estimating, sudden directional shifts in hiding. occurrence situations and quickly out of the vision of the camera. Sound data is converted into an Image via mel-spectrogram to facilitate image sensor and sound sensor fusion and the drone position is estimated via the Convolution Neural Network. The proposed neural network is the A-shape neural network, which consists of up-sampling and down-sampling. Through these methods, we achieve RMSE of 13.045 pixels and show that the location of the drone can he estimated efficiently. | Ahn, Jongsik; Kim, Min Young | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea | 57223291728; 56739349100 | Ajong8@knu.ac.kr;minykim@knu.ac.kr; | 3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION (IEEE ICAIIC 2021) | 0.2 | 2025-07-30 | 1 | 1 | Acoustic; Anti-Drone System; Surveillance System; Mel-Spectrogram; Convolution Neural Network | Acoustic; Anti-Drone System; Convolution Neural Network; Mel-Spectrogram; Surveillance System | Acoustic arrays; Aircraft detection; Drones; Object detection; Sensor data fusion; Signal sampling; Convolution neural network; Down sampling; Image-based objects; Position estimation; Positional estimation; Sound sensors; Spectrograms; Surveillance systems; Neural networks | English | 2021 | 2021 | 10.1109/icaiic51459.2021.9415272 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||||
| ○ | ○ | Article | Post-stroke Hyperglycemia in Non-diabetic Ischemic Stroke is Related With Worse Functional Outcome: A Cohort Study | Objective To investigate long-term and serial functional outcomes in ischemic stroke patients without diabetes with post-stroke hyperglycemia. Methods The Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO) is a large, multi-center, prospective cohort study of stroke patients admitted to participating hospitals in nine areas of Korea. From KOSCO, ischemic stroke patients without diabetes were recruited and divided into two groups: patients without diabetes without (n=779) and with post-stroke hyperglycemia (n=223). Post-stroke hyperglycemia was defined as a glucose level >8 mmol/L. Functional assessments were performed 7 days and 3, 6, and 12 months after stroke onset. Results There were no significant differences in baseline characteristics between the groups, except in the age of onset and smoking. Analysis of the linear correlation between the initial National Institutes of Health Stroke Scale (NIHSS) score and glucose level showed no significant difference. Among our functional assessments, NIHSS, Fugl-Meyer Assessment (affected side), Functional Ambulatory Category, modified Rankin Scale, and Korean Mini-Mental State Examination (K-MMSE) showed statistically significant improvements in each group. All functional improvements except K-MMSE were significantly higher in patients without post-stroke hyperglycemia at 7 days and 3, 6, and 12 months. Conclusion The glucose level of ischemic stroke patients without diabetes had no significant correlation with the initial NIHSS score. The long-term effects of stress hyperglycemia showed worse functional outcomes in ischemic stroke patients without diabetes with post-stroke hyperglycemia. | Yoon, Jin A.; Shin, Yong-Il; Kim, Deog Young; Sohn, Min Kyun; Lee, Jongmin; Lee, Sam-Gyu; Lee, Yang-Soo; Han, Eun Young; Joo, Min Cheol; Oh, Gyung-Jae; Park, Minsu; Chang, Won Hyuk; Kim, Yun-Hee | Pusan Natl Univ, Sch Med, Dept Rehabil Med, Busan, South Korea; Pusan Natl Univ Hosp, Biomed Res Inst, Busan, South Korea; Pusan Natl Univ, Yangsan Hosp, Coll Med, Dept Rehabil Med, Yangsan, South Korea; Yonsei Univ, Coll Med, Dept & Res Inst Rehabil Med, Seoul, South Korea; Chungnam Natl Univ, Dept Rehabil Med, Sch Med, Daejeon, South Korea; Konkuk Univ, Sch Med, Dept Rehabil Med, Seoul, South Korea; Chonnam Natl Univ, Dept Phys & Rehabil Med, Med Sch, Gwangju, South Korea; Kyungpook Natl Univ, Coll Med, Dept Rehabil Med, Daegu, South Korea; Jeju Univ, Jeju Natl Univ Hosp, Coll Med, Dept Rehabil Med, Jeju, South Korea; Wonkwang Univ, Dept Rehabil Med, Sch Med, Iksan, South Korea; Sungkyunkwan Univ, Ctr Prevent & Rehabil, Samsung Med Ctr,Sch Med, Heart Vasc & Stroke Inst,Dept Phys & Rehabil Med, 50 Ilwon Dong, Seoul 135710, South Korea | ; Lee, Jongmin/Q-4909-2019; Yoon, Jina/ABF-4464-2021; kim, deog young/Q-8498-2019; Kim, Yun-Hee/GVS-6426-2022 | 56368562200; 55890990500; 55375583000; 7101840459; 57202882113; 10142402000; 57202952463; 8567466000; 56982599700; 7007056685; 57192818230; 35301717900; 57020121600 | rmshin@pusan.ac.kr;yunkim@skku.edu; | ANNALS OF REHABILITATION MEDICINE-ARM | ANN REHABIL MED-ARM | 2234-0645 | 2234-0653 | 45 | 5 | ESCI | REHABILITATION | 2021 | N/A | 0.78 | 2025-07-30 | 6 | 8 | Cohort studies; Recovery of function; Ischemic stroke; Hyperglycemia | STRESS HYPERGLYCEMIA; ADMISSION HYPERGLYCEMIA; RELIABILITY; REHABILITATION; INFARCTION; INSULIN | Cohort studies; Hyperglycemia; Ischemic stroke; Recovery of function | English | 2021 | 2021-10 | 10.5535/arm.21124 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Potato Chip-Like 0D Interconnected ZnCo2O4 Nanoparticles for High-Performance Supercapacitors | Zinc cobaltite (ZnCo2O4) is an emerging electrode material for supercapacitors due to its rich redox reactions involving multiple oxidation states and different ions. In the present work, potato chip-like 0D interconnected ZnCo2O4 nanoparticles (PIZCON) were prepared using a solvothermal approach. The prepared material was characterized using various analytical methods, including X-ray powder diffraction and scanning electron microscopy. The possible formation mechanism of PIZCON was proposed. The PIZCON electrode material was systematically characterized for supercapacitor application. The areal capacitance of PIZCON was 14.52 mF cm(-2) at 10 mu A cm(-2) of current density, and retention of initial capacitance was 95% at 250 mu A cm(-2) following 3000 continuous charge/discharge cycles. The attained measures of electrochemical performance indicate that PIZCON is an excellent supercapacitor electrode material. | Mallem, Siva Pratap Reddy; Koduru, Mallikarjuna; Chandrasekhar, Kuppam; Prabhakar Vattikuti, S. V.; Manne, Ravi; Reddy, V. Rajagopal; Lee, Jung-Hee | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea; Sri Venkateswara Univ, Dept Phys, Tirupati 517501, Andhra Pradesh, India; Ton Duc Thang Univ, Fac Environm & Labour Safety, Green Proc Bioremediat & Alternat Energies Res Gr, Ho Chi Minh City 758307, Vietnam; Yeungnam Univ, Sch Mech Engn, Gyongsan 38533, South Korea; Chemtex Environm Lab, Port Arthur, TX 77642 USA | ; V, Rajagopal Reddy/AFK-1413-2022; Chandrasekhar, Kuppam/AGL-7732-2022; VATTIKUTI, S/I-5237-2019; Manne, Ravi/AAN-3408-2021; Koduru, Mallikarjuna/H-9902-2013 | 55422639100; 57223199331; 8690011100; 57542619100; 57221720115; 58070251100; 57196140713 | drmspreddy@knu.ac.kr;mallikar999@gmail.com;chandrasekar.kuppam@tdtu.edu.vn;vsvprabu@gmail.com;ravimannemr@gmail.com;reddy_vrg@rediffmail.com;jlee@ee.knu.ac.kr; | CRYSTALS | 2073-4352 | 11 | 5 | 1.67 | 2025-07-30 | 22 | 23 | ZnCo2O4; electrode material; areal capacitance; supercapacitors | ELECTRODE MATERIAL; ELECTROCHEMICAL PERFORMANCE; SUPERIOR-PERFORMANCE; NANOSHEET ARRAYS; FACILE SYNTHESIS; MICROSPHERES; NETWORK; CO | Areal capacitance; Electrode material; Supercapacitors; ZnCo<sub>2</sub> O<sub>4</sub> | English | 2021 | 2021-05 | 10.3390/cryst11050469 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | Proceedings Paper | Potential Fields-Aided Motion Planning for Quadcopters in Three-Dimensional Dynamic Environments | With the increasing use of unmanned aerial vehicles (UAVs), the safe operation and navigation of a UAV need to be guaranteed, and this requires a collision avoidance (CA) mechanism for UAVs. The artificial potential field (APF), a widely used CA approach, has some issues like local minima and infeasible trajectory. This paper proposes a novel approach to overcome those drawbacks by combining motion primitives (MP) and the APF. In fact, the MP generates a locally optimal and dynamically feasible trajectory for the given time duration. When the collision checker detects the risk of collision at sample points extracted from the planned trajectory, the best route among re-planned safe path candidates is selected using the APF. It is shown that the proposed approach provides smooth and feasible trajectories without any collision in three different scenarios. | Lee, Kyuman; Choi, Daegyun; Kim, Donghoon | Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, Daegu 41566, South Korea; Univ Cincinnati, Dept Aerosp Engn & Engn Mech, Cincinnati, OH 45221 USA | AIAA SCITECH 2021 FORUM | 0 | English | 2021 | 2021 | 10.2514/6.2021-1410 | 바로가기 | 바로가기 | ||||||||||||||||||||||||
| ○ | Conference paper | Potential fields-aided motion planning for quadcopters in three-dimensional dynamic environments | With the increasing use of unmanned aerial vehicles (UAVs), the safe operation and navigation of a UAV need to be guaranteed, and this requires a collision avoidance (CA) mechanism for UAVs. The artificial potential field (APF), a widely used CA approach, has some issues like local minima and infeasible trajectory. This paper proposes a novel approach to overcome those drawbacks by combining motion primitives (MP) and the APF. In fact, the MP generates a locally optimal and dynamically feasible trajectory for the given time duration. When the collision checker detects the risk of collision at sample points extracted from the planned trajectory, the best route among re-planned safe path candidates is selected using the APF. It is shown that the proposed approach provides smooth and feasible trajectories without any collision in three different scenarios. © 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved. | Lee, Kyuman; Choi, Daegyun; Kim, Donghoon | Kyungpook National University, Daegu, 41566, South Korea; University of Cincinnati, Cincinnati, 45221, OH, United States; University of Cincinnati, Cincinnati, 45221, OH, United States | 57193932345; 57219363030; 57223664471 | AIAA Scitech 2021 Forum | 2.64 | 2025-07-30 | 7 | Air navigation; Antennas; Motion planning; Unmanned aerial vehicles (UAV); Aerial vehicle; Artificial potential fields; Collisions avoidance; Dynamic environments; Motion primitives; Motion-planning; Potential field; Safe navigations; Safe operation; Three-dimensional dynamics; Trajectories | English | Final | 2021 | 바로가기 | ||||||||||||||||||||||
| ○ | Review | Potential role of artificial intelligence in craniofacial surgery | The field of artificial intelligence (AI) is rapidly advancing, and AI models are increasingly applied in the medical field, especially in medical imaging, pathology, natural language processing, and biosignal analysis. On the basis of these advances, telemedicine, which allows people to receive medical services outside of hospitals or clinics, is also developing in many countries. The mechanisms of deep learning used in medical AI include convolutional neural networks, residual neural networks, and generative adversarial networks. Herein, we investigate the possibility of using these AI methods in the field of craniofacial surgery, with potential applications including craniofacial trauma, congenital anomalies, and cosmetic surgery. © 2021 Korean Cleft Palate-Craniofacial Association. | Ryu, Jeong Yeop; Chung, Ho Yun; Choi, Kang Young | Department of Plastic and Reconstructive Surgery, Kyungpook National University, Daegu, South Korea; Department of Plastic and Reconstructive Surgery, Kyungpook National University, Daegu, South Korea, Cell & Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, South Korea; Department of Plastic and Reconstructive Surgery, Kyungpook National University, Daegu, South Korea | 56366349400; 7404007181; 57203745682 | kychoi@knu.ac.kr; | Archives of Craniofacial Surgery | 2287-1152 | 22 | 5 | 1.1 | 2025-07-30 | 13 | Artificial intelligence; Neural networks, Computer; Surgery, Plastic | English | Final | 2021 | 10.7181/acfs.2021.00507 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Proceedings Paper | Power Control for MACA-based Underwater MAC Protocol: A Q-Learning Approach | Underwater acoustic sensors are battery-powered and spend a major portion of their limited energy during packet transmissions. To conserve energy, multiple access collision avoidance (MACA)-based MAC protocols are designed to lower the data packet transmission power, while using the maximum transmission power for control packets. However, lowering the data transmission power make the data packets susceptible to collisions. In this regard, a reinforcement learning-based power control scheme is proposed for MACA-based underwater MAC protocol that can reduce collisions while maintaining high energy efficiency. A key feature of the proposed scheme is that it enables the sensor nodes to prevent collisions without any prior knowledge of the interferences, eliminating the need for additional signaling. Simulation results show that the proposed scheme significantly improves the energy efficiency and the throughput of MACA-based power control schemes. | Cho, Junho; Ahmed, Faisal; Shitiri, Ethungshan; Cho, Ho-Shin | Hanwha Syst, Gumi, South Korea; Kyungpook Natl Univ, Daegu, South Korea | Ahmed, Faisal/MEO-3219-2025; Shitiri, Ph.D., Ethungshan/Z-5918-2019 | junho.cho@hanwha.com;faisal-24@knu.ac.kr;ethungshan@ee.knu.ac.kr;hscho@ee.knu.ac.kr; | 2021 IEEE REGION 10 SYMPOSIUM (TENSYMP) | 2640-821X | 6 | collisions; interference; medium access control; power control; Q-learning; underwater acoustic sensor networks | English | 2021 | 2021 | 10.1109/tensymp52854.2021.9550973 | 바로가기 | 바로가기 | ||||||||||||||||||||
| ○ | ○ | Proceedings Paper | Precision Exploration of Floating-Point Arithmetic for Spiking Neural Networks | In this paper, we explore the precision of various floating-point representations for energy-efficient spiking neural network (SNNs). The IEEE 754 based 32-bit single-precision floating-point and reduced precision floating-point formats are applied to the leaky integrate-and-fire (LIF) neuron of the SNN to investigate the impact the reduced precision on the accuracy performance. When adopted in an unsupervised two-layer SNN for the MNIST digit recognition application, the 16-bit floatingpoint formats can be used in training and inference of the SNN without any classification performance degradation. Additionally, our experimental result reveals that the floating-point format with 4-bit exponent and 6-bit mantissa is enough for the SNN training and inference and offers great area, power, and energy reductions compared to the others. | Kwak, Myeongjin; Seo, Hyoju; Kim, Yongtae | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | Kwak, Myeongjin/HIZ-8524-2022; Seo, Hyoju/GSD-8672-2022 | 57222516282; 57215662369; 55699627900 | yongtae@knu.ac.kr; | 18TH INTERNATIONAL SOC DESIGN CONFERENCE 2021 (ISOCC 2021) | 2163-9612 | 0.59 | 2025-07-30 | 2 | 3 | floating-point representation; floating-point adder; precision; neuromorphic computing; spiking neural network (SNN) | floating-point adder; floating-point representation; neuromorphic computing; precision; spiking neural network (SNN) | Adders; Energy efficiency; Neural networks; Floating points; Floating-Point Adder; Floating-point representation; Neural-networks; Neuromorphic computing; Point representations; Precision; Precision floating point; Reduced precision; Spiking neural network; Digital arithmetic | English | 2021 | 2021 | 10.1109/isocc53507.2021.9614005 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | Article | Prediction of cyanobacteria harmful algal blooms in reservoir using machine learning and deep learning | In relation to the algae bloom, four types of blue-green algae that emit toxic substances are designated and managed as harmful Cyanobacteria, and prediction information using a physical model is being also published. However, as algae are living organisms, it is difficult to predict according to physical dynamics, and not easy to consider the effects of numerous factors such as weather, hydraulic, hydrology, and water quality. Therefore, a lot of researches on algal bloom prediction using machine learning have been recently conducted. In this study, the characteristic importance of water quality factors affecting the occurrence of Cyanobacteria harmful algal blooms (CyanoHABs) were analyzed using the random forest (RF) model for Bohyeonsan Dam and Yeongcheon Dam located in Yeongcheon-si, Gyeongsangbuk-do and also predicted the occurrence of harmful blue-green algae using the machine learning and deep learning models and evaluated their accuracy. The water temperature and total nitrogen (T-N) were found to be high in common, and the occurrence prediction of CyanoHABs using artificial neural network (ANN) also predicted the actual values closely, confirming that it can be used for the reservoirs that require the prediction of harmful cyanobacteria for algal management in the future. © 2021 Korea Water Resources Association. | Kim, Sang-Hoon; Park, Jun Hyung; Kim, Byunghyun | Bohyunsan Dam Office of K-water, Yeongcheon, South Korea; National Civil Defence and Disaster Management Training Institute, Ministry of the Interior and Safety, Gongju, South Korea; Department of Civil Engineering, Kyungpook National University, Daegu, South Korea | 58463352800; 58248875200; 56097886500 | bhkimc@knu.ac.kr; | Journal of Korea Water Resources Association | 2799-8746 | 54 | S-1 | 0.15 | 2025-07-30 | 2 | Algae; Cyanobacteria; Deep learning; Machine learning; Random forest; Water temperature | Korean | Final | 2021 | 10.3741/jkwra.2021.54.s-1.1167 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Multi-scale Patch Learning with Mammography | Pathological complete response (pCR) indicates the absence of residual tumor in the breast and axillary nodes after neoadjuvant chemotherapy (NAC), which reduces cancerous tumor and improves the prognosis of breast-conserving surgery. To avoid eventual toxicities by NAC and improve the long-term survival outcome, the prediction of pCR using routine breast imaging is an important step to decide the patient treatment. In this paper, we propose a multi-scale patch learning method to predict pCR from pre-NAC mammography, which is widely used for early detection of breast cancer. We use two images (CC and MLO view) of mammography to integrate the texture and shape information of breast tumors in a form of image pyramid with multiple scales. We first extract fixed-sized patches from each pyramid level and concatenate them along the channel dimension to learn multi-scale features of the breast tumor and its surrounding regions. The proposed model achieved better prediction performance (0.803 AUC, 0.75 accuracy, 0.733 sensitivity, and 0.767 specificity) in pCR prediction task than other comparative methods which have been introduced for breast cancer characterization using mammography. | Shin, Ho Kyung; Kim, Won Hwa; Kim, Hye Jung; Kim, Chanho; Kim, Jaeil | Kyungpooksity, 80 Daehak Ro, Daegu, South Korea; Kyungpook Natl Univ, Chilgok Hosp, 807 Hoguk Ro, Daegu, South Korea | 57291108700; 59443634400; 57203506201; 57216946967; 57211615348 | threeyears@gmail.com; | PREDICTIVE INTELLIGENCE IN MEDICINE, PRIME 2021 | 0302-9743 | 1611-3349 | 12928 | 0.8 | 2025-07-30 | 3 | 3 | Deep learning; Mammography; Multi-scale patch extraction; Breast cancer; pCR Prediction | BREAST-CANCER; METAANALYSIS | Breast cancer; Deep learning; Mammography; Multi-scale patch extraction; pCR Prediction | Chemotherapy; Deep learning; Diagnosis; Diseases; Medical imaging; Textures; Tumors; Breast Cancer; Breast tumour; Complete response; Deep learning; Multi-scale patch extraction; Multi-scales; Neoadjuvant chemotherapies; Pathological complete response prediction; Residual tumors; Response prediction; Forecasting | English | 2021 | 2021 | 10.1007/978-3-030-87602-9_18 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | ○ | Article | Predictive Factors for Differentiating Gastrointestinal Stromal Tumors from Leiomyomas Based on Endoscopic Ultrasonography Findings in Patients with Gastric Subepithelial Tumors: A Multicenter Retrospective Study | Background/Aims: The utility of endoscopic ultrasonography (EUS) for differentiating gastrointestinal stromal tumors (GISTs) and leiomyomas of the stomach is not well known. We aimed to evaluate the ability of EUS for differentiating gastric GISTs and leiomyomas. Methods: We retrospectively reviewed the medical records of patients with histopathologically proven GISTs (n=274) and leiomyomas (n=87). In two consensus meetings, the inter-observer variability in the EUS image analysis was reduced. Using logistic regression analyses, we selected predictive factors and constructed a predictive model and nomogram for differentiating GISTs from leiomyomas. A receiver operating characteristic (ROC) curve analysis was performed to measure the discrimination performance in the development and internal validation sets. Results: Multivariate analysis identified heterogeneity (odds ratio [OR], 9.48), non-cardia (OR, 19.11), and Older age (OR, 1.06) as independent predictors of GISTs. The areas wider the ROC curve of the predictive model using age, sex, and four EUS factors (homogeneity, location, anechoic spaces, and dimpling or ulcer) were 0.916 (sensitivity, 0.908; specificity, 0.793) and 0.904 (sensitivity, 0.908; specificity, 0.782) in the development and internal validation sets, respectively. Conclusions: The predictive model and nomogram using age, sex and homogeneity, tumor location, presence of anechoic spaces, and presence of dimpling or ulcer on EUS may facilitate differentiation between GISTs and leiomyomas. | Kim, Sun Moon; Kim, Eun Young; Cho, Jin Woong; Jeon, Seong Woo; Kim, Ji Hyun; Kim, Tae Hyeon; Moon, Jeong Seop; Kim, Jin-Oh | Konyang Univ, Dept Internal Med, Coll Med, Daejeon, South Korea; Daegu Catholic Univ, Dept Internal Med, Sch Med, 33 Duryugongwon Ro 17 Gil, Daegu 42472, South Korea; Presbyterian Med Ctr, Dept Internal Med, Jeonju, South Korea; Kyungpook Natl Univ, Dept Internal Med, Chilgok Hosp, Daegu, South Korea; Inje Univ, Dept Internal Med, Coll Med, Busan, South Korea; Wonkwang Univ, Dept Internal Med, Coll Med & Hosp, Iksan, South Korea; Inje Univ, Dept Internal Med, Coll Med, Seoul, South Korea; Soonchunhyang Univ, Dept Internal Med, Coll Med, Seoul, South Korea | ; Kim, Eun Young/JCE-3602-2023; Kim, Ji/ABE-2824-2020; Jeon, Seongwoo/AAU-4618-2020; Kim, Jin-Oh/L-5024-2018 | 57206877980; 58889004100; 53163643000; 9733636500; 57218494603; 36062469400; 36942318200; 55888859300 | kimey@cu.ac.kr; | CLINICAL ENDOSCOPY | CLIN ENDOSC | 2234-2400 | 2234-2443 | 54 | 6 | ESCI | GASTROENTEROLOGY & HEPATOLOGY | 2021 | N/A | 0.83 | 2025-07-30 | 11 | 10 | Endosonography; Gastrointestinal stromal tumors; Leiomyoma; Stomach | SUBMUCOSAL TUMORS; MANAGEMENT; DIAGNOSIS | Endosonography; Gastrointestinal stromal tumors; Leiomyoma; Stomach | English | 2021 | 2021-11 | 10.5946/ce.2021.251 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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