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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 | FM-Based Outdoor Fingerprint Location Using DNN Algorithm for Large-Scale Internet of Things | The generation of positioning technology has a great impact on human life and the development of science and technology, especially with the rapid growth of wireless networks and communication technology today. The Internet of Things (IoT) technology has penetrated all walks of life and even the daily life of human beings. More and more physical devices are connected to the network for information exchange and sharing. To enable large-scale IoT devices and services, several newly developing IoT technologies, Low Power Wide Area Network(LPWAN）have emerged. The FM signal based fingerprint outdoor positioning technology in this paper is a low-cost and low energy consumption positioning method to adapt to large-scale IoT devices. Through collecting FM signal strength and other effective information, fingerprint databases are constructed and the data are trained by using Deep Neural Networks(DNN) to reduce accuracy differences. The Final location information can be obtained by this method. Experimental results show that the accuracy of this method is 95.57%, which can effectively improve the accuracy of FM outdoor positioning. © 2021, Korean Institute of Communications and Information Sciences. All rights reserved. | Pan, Yichen; Kim, Jae-Soo | Kyungpook National University, Department of Computer, South Korea; Kyungpook National University, Department of Computer, South Korea | 57216040282; 57191684854 | kjs@knu.ac.kr; | Journal of Korean Institute of Communications and Information Sciences | 1226-4717 | 46 | 10 | 0.07 | 2025-07-30 | 1 | Deep Learning; Fingerprints; FM radio; Internet of Things; Positioning | English | Final | 2021 | 10.7840/kics.2021.46.10.1650 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Proceedings Paper | Foreground Extraction Based Facial Emotion Recognition Using Deep Learning Xception Model | The facial emotion recognition (FER) system has a very significant role in the autonomous driving system (ADS). In ADS, the FER system identifies the driver's emotions and provides the current driver's mental status for safe driving. The driver's mental status determines the safety of the vehicle and prevents the chances of road accidents. In FER, the system identifies the driver's emotions such as happy, sad, angry, surprise, disgust, fear, and neutral. To identify these emotions, the FER system needs to train with large FER datasets and the system's performance completely depends on the type of the FER dataset used in the model training. The recent FER system uses publicly available datasets such as FER 2013, extended Cohn-Kanade (CK+), AffectNet, JAFFE, etc. for model training. However, the model trained with these datasets has some major flaws when the system tries to extract the FER features from the datasets. To address the feature extraction problem in the FER system, in this paper, we propose a foreground extraction technique to identify the user emotions. The proposed foreground extraction-based FER approach accurately extracts the FER features and the deep learning model used in the system effectively utilizes these features for model training. The model training with our FER approach shows accurate classification results than the conventional FER approach. To validate our proposed FER approach, we collected user emotions from 9 people and used the Xception architecture as the deep learning model. From the FER experiment and result analysis, the proposed foreground extraction-based approach reduces the classification error that exists in the conventional FER approach. The FER results from the proposed approach show a 3.33% model accuracy improvement than the conventional FER approach. | Poulose, Alwin; Reddy, Chinthala Sreya; Kim, Jung Hwan; Han, Dong Seog | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; CHRIST Univ, Dept Comp Sci, Bangalore, Karnataka, India | POULOSE, ALWIN/S-4914-2018; , ALWIN POULOSE/S-4914-2018 | 57205504085; 57270255300; 57222321332; 7403219442 | alwinpoulosepalatty@knu.ac.kr;sreyareddy2000@gmail.com;jkim267@knu.ac.kr;dshan@knu.ac.kr; | 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2021) | 2165-8528 | 2165-8536 | 4.43 | 2025-07-30 | 24 | 26 | Facial emotion recognition (FER); autonomous driving system (ADS); deep convolutional neural networks (DCNNs); Foreground Extraction | autonomous driving system (ADS); deep convolutional neural networks (DCNNs); Facial emotion recognition (FER); Foreground Extraction | Autonomous vehicles; Convolutional neural networks; Deep neural networks; Extraction; Face recognition; Large dataset; Autonomous driving; Autonomous driving system; Deep convolutional neural network; Driving systems; Emotion recognition; Facial emotion recognition; Facial emotions; Foreground extraction; Model training; Recognition systems; Speech recognition | English | 2021 | 2021 | 10.1109/icufn49451.2021.9528706 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | Article | Formation of Anodic Al Oxide Nanofibers on Al3104 Alloy Substrate in Pyrophosphoric Acid | In this study, we investigated the formation of the metal oxide nanostructure by anodization of aluminum 3104H18 alloy. The anodization was performed in pyrophosphoric acid (H4P2O7) electrolyte. By the control of anodization condition such as concentration of electrolyte, anodization temperature and applied voltage, nanoporous or nanofiber structures were obtained. The optimal anodization condition to form nanofiber structures are 75 wt% of H4P2O7 at 30 V and 20 degrees C. When anodization was performed at over 40 V, nanoporous structures were formed due to accelerated dissolution reaction rate of nanofiber structures or increasing thickness of channel wall. | Kim, Taewan; Lee, Kiyoung | Kyungpook Natl Univ, Dept Adv Sci & Technol Convergence, 2559 Gyeonsang Daero, Sangju 37224, South Korea; Kyungpook Natl Univ, Sch Nano & Mat Sci & Engn, 2559 Gyeonsang Daero, Sangju 37224, South Korea | Lee, Kiyoung/J-8680-2013 | kiyoung@knu.ac.kr; | JOURNAL OF THE KOREAN ELECTROCHEMICAL SOCIETY | J KOREAN ELECTROCHEM | 1229-1935 | 24 | 1 | ESCI | ELECTROCHEMISTRY | 2021 | N/A | 1 | Anodization; Nanostructures; Metal Oxide; Al2O3; Nanofiber | ANODIZATION; TITANIUM | Korean | 2021 | 2021-02 | 10.5229/jkes.2021.24.1.7 | 바로가기 | 바로가기 | 바로가기 | |||||||||||
| ○ | ○ | Proceedings Paper | FPGA-based Cloudification of ECG Signal Diagnosis Acceleration | Recently, studies to analyze heart disease using ECG signals are emerging. The proposed platform generates multiple reference signals trained for individuals in real time by reducing the learning time. The data in the cluster is compressed by linear approximation to speed up diagnosis and reduce memory usage, allowing more diagnosis to be performed with limited resources. Platforms using FPGA can accelerate ECG signal diagnosis by adding hardware. As a result of diagnosing ECG signals of 10 people using the processor and accelerator, the execution time when using the accelerator was 71% lower than that when using the processor. | Lee, Dongkyu; Lee, SeungMin; Park, Daejin | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea | 55698915100; 57200005388; 55463943600 | boltanut@knu.ac.kr; | 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2021) | 2165-8528 | 2165-8536 | 0.4 | 2025-07-30 | 3 | 4 | FPGA acceleration; co-design; cloudification; electrocardiogram; linear approximation | cloudification; co-design; electrocardiogram; FPGA acceleration; linear approximation | Field programmable gate arrays (FPGA); Integrated circuit design; Cloudification; Co-designs; ECG signals; FPGA acceleration; Heart disease; Learning time; Linear approximations; Multiple references; Real- time; Reference signals; Electrocardiography | English | 2021 | 2021 | 10.1109/icufn49451.2021.9528812 | 바로가기 | 바로가기 | 바로가기 | ||||||||||||
| ○ | ○ | Proceedings Paper | Freezing of Gait Detection Using Discrete Wavelet Transform and Hybrid Deep Learning Architecture | Freezing of gait (FoG) detection using wearable sensors plays an important role in both online and offline monitoring of Parkinson's disease patients. In a FoG detector, feature extraction is commonly considered as a critical part for distilling the sensor signals before the FoG classification. Manually extracted features with domain knowledge are widely used in conventional machine learning methods while recent deep learning algorithms introduce the automatic feature learning approach. In this paper, we propose a FoG detection framework, in which hand-crafted features are used as input to a hybrid deep learning model for further feature learning and classification task. The hand-crafted features with time-frequency representation are extracted from the raw sensor signal by using a multi-level discrete wavelet transform (DWT). A hybrid deep learning architecture constructed from two algorithms: convolutional neural network (CNN) and bidirectional long short-term memory network is then deployed to extract deep features and classify FoG events. For performance comparison purposes, experiments on different input data types and machine learning methods are carried out on the Daphnet public dataset. | Nguyen Thi Hoai Thu; Han, Dong Seog | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea | Nguyen, Thu/AAC-1112-2021 | 57216620557; 7403219442 | thunguyen@knu.ac.kr;dshan@knu.ac.kr; | 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2021) | 2165-8528 | 2165-8536 | 1.21 | 2025-07-30 | 5 | 6 | freezing of gait; deep learning; wearable sensors; discrete wavelet transform | PARKINSONS-DISEASE PATIENTS | deep learning; discrete wavelet transform; freezing of gait; wearable sensors | Classification (of information); Convolutional neural networks; Deep learning; Discrete wavelet transforms; Domain Knowledge; Freezing; Learning algorithms; Network architecture; Signal reconstruction; Wearable sensors; Deep learning; Discrete-wavelet-transform; Feature learning; Freezing of gaits; Gait detection; Learning architectures; Machine learning methods; Off-line monitoring; Online monitoring; Sensor signals; Feature extraction | English | 2021 | 2021 | 10.1109/icufn49451.2021.9528547 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | ○ | Article | Functional Characterization of Ecdysis Triggering Hormone Receptors (AgETHR-A and AgETHR-B) in the African Malaria Mosquito, Anopheles gambiae | Insect ecdysis behavior, shedding off the old cuticle, is under the control of specific neuropeptides with the top command by the ecdysis triggering hormone (ETH). We characterized the ETH receptor (ETHR) of the malaria mosquito, Anopheles gambiae, by manual annotation of the NCBI gene (AGAP002881) and functional analysis, using a heterologous expression system in a mammalian cell line. The two splicing variants of ETHRs, ecdysis triggering hormone receptors (AgETHR-A and AgETHR-B), a conserved feature among insects, included of four (552 aa) and five exons (635 aa), respectively. The main feature of manual annotation of the receptor was a correction of N-terminal and exon-intron boundaries of an annotated gene (AGAP002881). Interestingly, the functional expression of the receptor in Chinese hamster ovary cells required modification of the transcription initiation site for mammalian Kozak consensus. In the calcium mobilization assay using the heterologous expression of each receptor, AgETHR-B showed a higher sensitivity to AgETH-1 (28 times) and AgETH-2 (320 times) than AgETHR-A. The AgETHRs showed specificity only to the ETH group of peptides but not to other groups carrying the C-termini motifs as PRXamide, such as pyrokinin1/DH and pyrokinin2/PBAN. Ecdysis triggering hormone receptors (AgETHR-B) responded to different ETH variants of other insect species more promiscuously than AgETHR-A. | Jindal, Vikas; Park, Yoonseong; Kim, Donghun | Kansas State Univ, Dept Entomol, Manhattan, KS 66506 USA; Punjab Agr Univ, Dept Entomol, Ludhiana, Punjab, India; Kyungpook Natl Univ, Dept Vector Entomol, Sangju, South Korea | Jindal, Vikas/JNR-6823-2023 | 57795740500; 7405370790; 56115927500 | dklome2018@knu.ac.kr; | FRONTIERS IN PHYSIOLOGY | 1664-042X | 12 | 0.25 | 2025-07-30 | 3 | 3 | Anopheles gambiae; ecdysis triggering hormone; ecdysis triggering hormone receptors; G protein-coupled receptor; neuropeptides | PROTEIN COUPLED RECEPTORS; RED FLOUR BEETLE; MOLECULAR-CLONING; IDENTIFICATION; NEUROPEPTIDES; ORCHESTRATION | Anopheles gambiae; ecdysis triggering hormone; ecdysis triggering hormone receptors; G protein-coupled receptor; neuropeptides | AgETHR-A; AgETHR-B; ecdysis triggering hormone; G protein coupled receptor; hormone receptor; neuromedin U; neuropeptide; PRXamide; pyrokinin1/DH; pyrokinin2/PBAN; unclassified drug; Aedes aegypti; amino acid sequence; animal cell; Article; Bombyx mori; calcium mobilization assay; carboxy terminal sequence; CHO cell line; controlled study; Drosophila melanogaster; functional assessment; gene structure; heterologous expression; malaria; MEGA7; molting; nested polymerase chain reaction; nonhuman; open reading frame; phylogeny; polymerase chain reaction; sequence alignment; sequence analysis; software; Tribolium castaneum | English | 2021 | 2021-07-06 | 10.3389/fphys.2021.702979 | 바로가기 | 바로가기 | 바로가기 | ||||||||||
| ○ | Article | Gallbladder metastasis of renal cell carcinoma: A case report; [담낭에 전이된 신세포암: 증례 보고] | The gallbladder (GB) is a rare site of renal cell carcinoma (RCC) metastasis. To the best of our knowledge, only a few reports of CT findings of GB metastasis exist in the literature. Herein, we report a case of histologically proven GB metastasis of RCC in a 55-year-old male who underwent CT for an intraluminal polypoid mass simulating a primary GB lesion. Copyrights © 2021 The Korean Society of Radiology. | Kim, Chang Gun; Kim, See Hyung; Cho, Seung Hyun; Ryeom, Hun Kyu | Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea; Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea; Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Chilgok Hospital, Daegu, South Korea; Department of Radiology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea | 57224906987; 57216511386; 55686242700; 6505864513 | kimseehyung72@outlook.kr; | Journal of the Korean Society of Radiology | 1738-2637 | 82 | 0 | 2025-07-30 | 0 | Computed tomography; Gallbladder; Metastasis; Renal cell carcinoma; X-Ray | English | Final | 2021 | 10.3348/jksr.2020.0053 | 바로가기 | 바로가기 | |||||||||||||||||
| ○ | Article | Gate length scaling behavior and improved frequency characteristics of In0.8Ga0.2As high-electron-mobility transistor, a core device for sensor and communication applications | The impact of the gate length (Lg) on the DC and high-frequency characteristics of indium-rich In0.8Ga0.2As channel high-electron mobility transistors (HEMTs) on a 3-inch InP substrate was inverstigated. HEMTs with a source-to-drain spacing (LSD) of 0.8 μm with different values of Lg ranging from 1 μm to 19 nm were fabricated, and their DC and RF responses were measured and analyzed in detail. In addition, a T-shaped gate with a gate stem height as high as 200 nm was utilized to minimize the parasitic gate capacitance during device fabrication. The threshold voltage (VT) roll-off behavior against Lg was observed clearly, and the maximum transconductance (gmₘₐₓ) improved as Lg scaled down to 19 nm. In particular, the device with an Lg of 19 nm with an LSD of 0.8 mm exhibited an excellent combination of DC and RF characteristics, such as a gmₘₐₓ of 2.5 mS/μm, On resistance (RON) of 261 Ω•μm, current-gain cutoff frequency (fT) of 738 GHz, and maximum oscillation frequency (fmax) of 492 GHz. The results indicate that the reduction of Lg to 19 nm improves the DC and RF characteristics of InGaAs HEMTs, and a possible increase in the parasitic capacitance component, associated with T-shap, remains negligible in the device architecture. © 2021, Korean Sensors Society. All rights reserved. | Jo, Hyeon-Bhin; Kim, Dae-Hyun | 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 | 57202871742; 57212363794 | dae-hyun.kim@ee.knu.ac.kr; | Journal of Sensor Science and Technology | 1225-5475 | 30 | 6 | 0 | 2025-07-30 | 0 | Current-gain cutoff frequency; HEMT; Image sensor; In<sub>0.8</sub>Ga<sub>0.2</sub>As; Maximum oscillation frequency; Sub-MMW | Korean | Final | 2021 | 10.46670/jsst.2021.30.6.436 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Proceedings Paper | Gaussian Filtered RSSI-based Indoor Localization in WLAN using Bootstrap Filter | The ranging technology based on Received Signal Strength Index (RSSI) is widely used in Wireless Local Area Network (WLAN) positioning technology due to its low cost and low complexity. In the indoor positioning algorithm of RSSI positioning technology, due to the complexity of indoor environment and the randomness of personnel and other factors, it may be affected by noise, which needs to be suppressed. Based on the analysis and research of RSSI value, a processing algorithm of signal attenuation model combining Gaussian filter and Bootstrap filter is proposed. In the experiment, Gaussian filter is used to filter the abnormal RSSI value to get the optimal value, and then the nonlinear signal attenuation model is processed by Bootstrap filter algorithm. The experiment was carried out in a representative indoor environment and an anechoic chamber. Compared with the existing ranging algorithm based on average RSSI value, the algorithm can effectively remove the mutation data and noise fluctuation in RSSI value, realize the accurate smooth output of RSSI value and establish an accurate ranging model. | Wang, Jingjing; Hwang, Jun Gyu; Peng, Jishen; Park, Jaewoo; Park, Joon Goo | Kyungpook Natl Univ, Elect & Elect Engn, Daegu, South Korea | Wang, Jingjing/GLT-7562-2022 | wjj0219@naver.com;cjstk891015@naver.com;pjs951121@naver.com;jwpark1218@naver.com;jgpark@knu.ac.kr; | 2021 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC) | 2 | Indoor Positioning Algorithm; Received signal strength Indicator; Bootstrap Filter | English | 2021 | 2021 | 10.1109/ceic51217.2021.9369804 | 바로가기 | 바로가기 | |||||||||||||||||||||
| ○ | Conference paper | Gaussian Filtered RSSI-based Indoor Localization in WLAN using Bootstrap Filter | The ranging technology based on Received Signal Strength Index (RSSI) is widely used in Wireless Local Area Network (WLAN) positioning technology due to its low cost and low complexity. In the indoor positioning algorithm of RSSI positioning technology, due to the complexity of indoor environment and the randomness of personnel and other factors, it may be affected by noise, which needs to be suppressed. Based on the analysis and research of RSSI value, a processing algorithm of signal attenuation model combining Gaussian filter and Bootstrap filter is proposed. In the experiment, Gaussian filter is used to filter the abnormal RSSI value to get the optimal value, and then the nonlinear signal attenuation model is processed by Bootstrap filter algorithm. The experiment was carried out in a representative indoor environment and an anechoic chamber. Compared with the existing ranging algorithm based on average RSSI value, the algorithm can effectively remove the mutation data and noise fluctuation in RSSI value, realize the accurate smooth output of RSSI value and establish an accurate ranging model. © 2021 IEEE. | Wang, Jingjing; Hwang, Jun Gyu; Peng, Jishen; Park, Jaewoo; Park, Joon Goo | Kyungpook National University, Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, Electronic and Electrical Engineering, Daegu, South Korea; Kyungpook National University, Electronic and Electrical Engineering, Daegu, South Korea | 57202161515; 55816210200; 57222517328; 57222515659; 24329712800 | 2021 International Conference on Electronics, Information, and Communication, ICEIC 2021 | 0.98 | 2025-07-30 | 4 | Bootstrap Filter; Indoor Positioning Algorithm; Received signal strength Indicator | Complex networks; Gaussian distribution; Genetic algorithms; Indoor positioning systems; Signal processing; Wireless local area networks (WLAN); Indoor environment; Indoor localization; Indoor positioning; Noise fluctuations; Positioning technologies; Processing algorithms; Received signal strength indices (RSSI); Signal attenuation models; Pulse shaping circuits | English | Final | 2021 | 10.1109/iceic51217.2021.9369804 | 바로가기 | 바로가기 | |||||||||||||||||||
| ○ | Article | Gene Flow from Transgenic Rice to Conventional Rice in China | Global area of genetically modified crops (GM crops or biotech crops) continues to grow. It was 189.9 million hectares in 2017. Recently, a total of 24 countries have approved GM crops for planting and additional 43 countries have formally imported biotech crops for food, feed, and processing, meaning that biotech crops are now commonly accepted in those countries. With the continuous growth of the global population and the impact of climate change, research and commercialization of genetically modified crops are important for solving global food security issues in the future. At present, a large number of GM rice varieties have been cultivated in China (Chen et al. 2004; Jia 2004). Among them, GM rice varieties with insect resistance (Bt, CpTI genes), disease resistance (Xa21 genes), and herbicide resistance (bar, EPSPs genes) are waiting for relevant planting permits (Chen et al. 2004). In particular, two varieties, “Huahua 1” and “Shanyou 63”, developed by China Huazhong Agriculture Co., Ltd. have obtained GM rice safety certificate from the Ministry of Agriculture of China. However, there is still a lot of controversy in South Korea on the commercialization and safety research of GM products. This article aims to conduct a rational analysis of China's GM rice pollen mobility and China's current GM rice commercialization process to provide relevant reference basis for safety evaluation and future commercialization process of GM rice in South Korea. © 2021. by the Korean Society of Breeding Science. All Rights Reserved. | Du, Xiao-Xuan; Piao, ZhongZe; Kim, Kyung-Min; Lee, Gang-Seob | Biosafety Division, National Institute of Agricultural Science, Jeonju, 54874, South Korea; College of Life and Environmental Science, Shanghai Normal University, Shanghai, 200234, China; Division of Plant Biosciences, School of Applied Biosciences, College of Agriculture and Life Science, Kyungpook National University, Daegu, 41566, South Korea; Biosafety Division, National Institute of Agricultural Science, Jeonju, 54874, South Korea | 57209098077; 16053224700; 34868260300; 25927158200 | kangslee@korea.kr; | Plant Breeding and Biotechnology | 2287-9358 | 9 | 4 | 0 | 2025-07-30 | 1 | Gene flow; GM rice; Safety evaluation | English | Final | 2021 | 10.9787/pbb.2021.9.4.259 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Article | Generalized nonlinear percentile regression using asymmetric maximum likelihood estimation | An asymmetric least squares estimation method has been employed to estimate linear models for percentile regression. An asymmetric maximum likelihood estimation (AMLE) has been developed for the estimation of Poisson percentile linear models. In this study, we propose generalized nonlinear percentile regression using the AMLE, and the use of the parametric bootstrap method to obtain confidence intervals for the estimates of parameters of interest and smoothing functions of estimates. We consider three conditional distributions of response variables given covariates such as normal, exponential, and Poisson for three mean functions with one linear and two nonlinear models in the simulation studies. The proposed method provides reasonable estimates and confidence interval estimates of parameters, and comparable Monte Carlo asymptotic performance along with the sample size and quantiles. We illustrate applications of the proposed method using real-life data from chemical and radiation epidemiological studies. | Lee, Juhee; Kim, Young Min | Kyungpook Natl Univ, Dept Stat, 80 Daehak Ro, Daegu 41566, South Korea | 57210897006; 56035273800 | kymmyself@knu.ac.kr; | COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS | COMMUN STAT APPL MET | 2287-7843 | 2383-4757 | 28 | 6 | ESCI | STATISTICS & PROBABILITY | 2021 | N/A | 0.36 | 2025-07-30 | 1 | 3 | asymmetric maximum likelihood estimation; nonlinear regression; percentile; quantile | SOLID CANCER INCIDENCE; ATOMIC-BOMB SURVIVORS; QUANTILE REGRESSION | asymmetric maximum likelihood estimation; nonlinear regression; percentile; quantile | English | 2021 | 2021-11 | 10.29220/csam.2021.28.6.627 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | Article | Generation of Snake Robot Locomotion Patterns Using Genetic Algorithm | This paper presents a novel method of designing an efficient locomotion pattern generating algorithm for snake robots by a genetic algorithm (GA). In search and rescue operations in disaster areas, a snake robot requires multiple locomotion patterns. To overcome the complexity of snake robot control, we used a central pattern generator (CPG)-based control method which mimics the motion of a biological snake. GA was used to optimize CPG parameters to maximize locomotion performance. The locomotion performance according to the CPG parameters change was analyzed using the snake robot simulator. The proposed locomotion pattern generation algorithm evolved quickly for the target performance and obtained CPG parameters for the desired locomotion. © The Korean Society for Precision Engineering | Pyo, Juhyun; Lee, Meungsuk; Shin, Dong-Gwan; Seo, Kap-Ho; Joe, Hangil; Suh, Jin-Ho; Jin, Maolin | Korea Institute of Robotics & Technology Convergence, South Korea; Korea Institute of Robotics & Technology Convergence, South Korea; Korea Institute of Robotics & Technology Convergence, South Korea; Korea Institute of Robotics & Technology Convergence, South Korea; Department of Robot and Smart System Engineering, Kyungpook National University, South Korea; Department of Mechanical System Engineering, Pukyong National University, South Korea; Korea Institute of Robotics & Technology Convergence, South Korea | 52063704300; 57205539596; 57318111000; 7201838999; 55848385500; 7201514963; 8654968400 | mulimkim@kiro.re.kr; | Journal of the Korean Society for Precision Engineering | 1225-9071 | 38 | 10 | 0.07 | 2025-07-30 | 1 | Central pattern generator; Genetic algorithm; Locomotion pattern; Robot simulator; Snake robot | Korean | Final | 2021 | 10.7736/jkspe.021.057 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | Article | Genetic diversity of rice germplasm (Oryza sativa L.) of java island, Indonesia | The role of genetic diversity in crop germplasm is an important concept within genetic conservation. In this research, 43 accessions were analyzed at the agro-morphological and genetic levels. Clustering based on the agro-morphological resulted in four sub-groups. Analysis at the genetic level was conducted using 22 microsatellites, which revealed a total number of alleles to be 203, with a range per allele between 2 and 17 and an average of 9.2 alleles per locus. The highest and lowest Polymorphic Information Content (PIC) values were found in RM431 and RM11, which were 0.95 and 0.67, respectively. The genetic diversity value ranged from 0.71 to 0.95. The genetic similarity among accessions ranged from 0.00 to 0.90. Clustering based on the genetic relatedness divided the Java rice samples into two major groups. The classification created through this research many inform future breeding programs aimed at improving the quality and quantity of yield production. © 2020, Korean Society of Crop Science (KSCS). | Karimah, Addieni Zulfa; Siswoyo, Tri Agus; Kim, Kyung Min; Ubaidillah, Mohammad | Graduate School of Biotechnology, University of Jember, Jember, Indonesia, Program Study of Agrotechnology Faculty of Agriculture, Center of Excellence (PUI) Biotechnology Plant Industry, University of Jember, Jln. Kalimantan 37 Kampus Tegalboto, Jember, 68121, East Java, Indonesia; Graduate School of Biotechnology, University of Jember, Jember, Indonesia, Program Study of Agrotechnology Faculty of Agriculture, Center of Excellence (PUI) Biotechnology Plant Industry, University of Jember, Jln. Kalimantan 37 Kampus Tegalboto, Jember, 68121, East Java, Indonesia; Division of Plant Biosciences, School of Applied BioSciences, College of Agriculture and Life Science, Kyungpook National University, Korea Science and Technology, Daegu, South Korea; Graduate School of Biotechnology, University of Jember, Jember, Indonesia, Program Study of Agrotechnology Faculty of Agriculture, University of Jember, Jember, Indonesia, Program Study of Agrotechnology Faculty of Agriculture, Center of Excellence (PUI) Biotechnology Plant Industry, University of Jember, Jln. Kalimantan 37 Kampus Tegalboto, Jember, 68121, East Java, Indonesia | 57218372305; 6506201251; 34868260300; 56011434400 | moh.ubaidillah.pasca@unej.ac.id; | Journal of Crop Science and Biotechnology | 1975-9479 | 24 | 1 | 0.79 | 2025-07-30 | 12 | Agro-morphological; Diversity; Germplasm; Rice; SSR | English | Final | 2021 | 10.1007/s12892-020-00063-4 | 바로가기 | 바로가기 | ||||||||||||||||
| ○ | ○ | Article | Genome Sequence of Hymenobacter polaris RP-2-7T, Isolated from Arctic Soil | Hymenobacter polaris RP-2-7(T) was isolated from soil from the Arctic region. This study presents the genome sequence of Hymenobacter polaris RP-2-7(T), generated using the Illumina HiSeq platform. The genome size is 5,587,174 bp; it contains 4,721 genes and has 62.8 mol% DNA G+C content. | Sundararaman, Aravind; Dahal, Ram Hari; Kim, Dong-Uk; Kim, Jaisoo; Upadhyaya, Jitendra; Hong, Yongseok; Chaudhary, Dhiraj Kumar | Cent Food Technol Res Inst CSIR, Dept Microbiol & Fermentat Technol, Mysuru, India; Kyungpook Natl Univ, Sch Med, Dept Microbiol, Daegu, South Korea; Sangji Univ, Coll Sci & Engn, Dept Biol Sci, Wonju, South Korea; Kyonggi Univ, Coll Nat Sci, Dept Life Sci, Kyonggi Do, South Korea; McGill Univ, Dept Bioresource Engn, Montreal, PQ, Canada; Korea Univ, Dept Environm Engn, Sejong Campus, Sejong City, South Korea | Chaudhary, Dhiraj Kumar/S-7772-2016; Chaudhary, Dhiraj/S-7772-2016; Dahal, Ram Hari/H-8673-2016 | 57159859600; 57110097800; 57206099551; 8718834500; 56723750400; 37761423700; 57191257432 | dhirajchaudhary2042@gmail.com; | MICROBIOLOGY RESOURCE ANNOUNCEMENTS | MICROBIOL RESOUR ANN | 2576-098X | 10 | 1 | ESCI | MICROBIOLOGY | 2021 | N/A | 0 | 2025-07-30 | 0 | 0 | Arctic; article; genome size; soil | English | 2021 | 2021-01 | 10.1128/mra.01216-20 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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