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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ○ | Correction | Prognostic Implications of Extranodal Extension in Relation to Colorectal Cancer Location (vol 51, pg 1135, 2019) | Kim, Chan Wook; Kim, Jihun; Park, Yangsoon; Cho, Dong-Hyung; Lee, Jong Lyul; Yoon, Yong Sik; Park, In Ja; Lim, Seok-Byung; Yu, Chang Sik; Kim, Jin Cheon | Univ Ulsan, Asan Med Ctr, Inst Innovat Canc Res, Coll Med,Dept Surg, Seoul, South Korea; Univ Ulsan, Asan Med Ctr, Inst Innovat Canc Res, Coll Med,Dept Pathol, Seoul, South Korea; Kyungpook Natl Univ, Sch Life Sci, Daegu, South Korea | Bin Kim, Hong/J-5452-2012; Park, In/U-2371-2019; Lww, Jong/W-1791-2019; Choi, Hye Rin/JDV-9065-2023 | CANCER RESEARCH AND TREATMENT | CANCER RES TREAT | 1598-2998 | 2005-9256 | 53 | 3 | SCIE | ONCOLOGY | 2021 | 5.036 | 37.4 | 0 | English | 2021 | 2021-07 | 10.4143/crt.2018.392.e | 바로가기 | 바로가기 | 바로가기 | |||||||||||||
| ○ | ○ | Article | Anticancer effects of 6-shogaol via the AKT signaling pathway in oral squamous cell carcinoma | Objective: Oral squamous cell carcinoma (OSCC) is one of the common type of cancer that leads to death; and is becoming a global concern. Due to the lack of efficient chemotherapeutic agents for patients with oral cancer, the prognosis remains poor. 6-shogaol, a bioactive compound of ginger, has a broad spectrum of bioactivities and has been widely used to relieve many diseases. However, its effects on human oral cancer have not yet been fully evaluated. In our study, we investigated the anticancer effects of 6-shogaol on the proliferation, migration, invasion, apoptosis, and underlying mechanisms within human OSCC cell lines. Methodology: We investigated the effect of 6-shogaol on the growth of OSCC cells by cell viability and soft agar colony formation assay. Migration and invasion assays were conducted to confirm the effect 6-shogaol on OSCC cell metastasis. Apoptosis was detected by flow cytometry and the underlying mechanism on the antigrowth effect of 6-shogaol in OSCC cells was assessed using western blotting. Results: In our results, 6-shogaol not only suppressed proliferation and anchorage-independent cell growth in OSCC cells, but also induced apoptosis by regulating the apoptosis-associated factors such as p53, Bax, Bcl-2, and cleaved caspase-3. Migration and invasion of OSCC cells were inhibited following the regulation of E-cadherin and N-cadherin by 6-shogaol. Additionally, 6-shogaol treatment significantly inhibited the PI3K/AKT signaling pathway. Conclusion: Therefore, our results may provide critical evidence that 6-shogaol can be a potential new therapeutic candidate for oral cancer. | Huang, Hai; Kim, Myoung-Ok; Kim, Ki-Rim | Kyungpook Natl Univ, Dept Anim Sci & Biotechnol, 2559 Gyeongsang Daero, Sangju 37224, South Korea; Kyungpook Natl Univ, Dept Dent Hyg, 2559 Gyeongsang Daero, Sangju 37224, South Korea | 57215021952; 8934745900; 35793746200 | ok4325@knu.ac.kr;rim0804@knu.ac.kr; | JOURNAL OF APPLIED ORAL SCIENCE | J APPL ORAL SCI | 1678-7757 | 1678-7765 | 29 | SCIE | DENTISTRY, ORAL SURGERY & MEDICINE | 2021 | 3.144 | 37.5 | 2.17 | 2025-07-30 | 19 | 20 | 6-shogaol; Oral squamous cell carcinoma; PI3K/AKT signaling pathway | CANCER-CELLS; APOPTOSIS; GROWTH; EMT; PROLIFERATION; DEATH | 6-shogaol; Oral squamous cell carcinoma; PI3K/AKT signaling pathway | Apoptosis; Carcinoma, Squamous Cell; Catechols; Cell Line, Tumor; Cell Movement; Cell Proliferation; Head and Neck Neoplasms; Humans; Mouth Neoplasms; Phosphatidylinositol 3-Kinases; Proto-Oncogene Proteins c-akt; Signal Transduction; Squamous Cell Carcinoma of Head and Neck; catechol derivative; phosphatidylinositol 3 kinase; protein kinase B; shogaol; apoptosis; cell motion; cell proliferation; head and neck tumor; human; metabolism; mouth tumor; signal transduction; squamous cell carcinoma; tumor cell line | English | 2021 | 2021 | 10.1590/1678-7757-2021-0209 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Cost-Effective Hybrid Density Functional Theory Calculation of Three-Dimensional Band Structure and Search of Band Edge Positions | Accurate calculation of the electronic band structure is essential to material screening and design. Hybrid density functional has been recently widely used to describe the electronic structure of semiconductors; however, it is difficult to locate the band edge positions of indirect band gap materials due to heavy computational cost especially when the band edges are not located at special k-points. We suggest how to investigate three-dimensional band structure efficiently with hybrid density functionals and to find the band edge positions. The band edge position of diamond Si, SbSI, and MoS2 are investigated using the proposed method. | Park, Ji-Sang | Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea | Park, Ji-Sang/F-9944-2010 | 36671796300 | jsparkphys@knu.ac.kr; | JOURNAL OF PHYSICAL CHEMISTRY A | J PHYS CHEM A | 1089-5639 | 1520-5215 | 125 | 38 | SCIE | CHEMISTRY, PHYSICAL;PHYSICS, ATOMIC, MOLECULAR & CHEMICAL | 2021 | 2.944 | 37.5 | 0.42 | 2025-07-30 | 5 | 5 | GAP; SILICON | Antimony compounds; Computation theory; Cost effectiveness; Density functional theory; Electronic structure; Hybrid materials; Layered semiconductors; Molybdenum compounds; Silicon compounds; Sulfur compounds; Accurate calculations; Band edge position; Cost effective; Density-functional theory calculations; Electronic band structure; Electronic structure of semiconductors; Hybrid density functional; Hybrid density functional theory; Material screening; Materials design; Energy gap | English | 2021 | 2021-09-30 | 10.1021/acs.jpca.1c06763 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Optimization of Three State Conical Intersections by Adaptive Penalty Function Algorithm in Connection with the Mixed-Reference Spin-Flip Time-Dependent Density Functional Theory Method (MRSF-TDDFT) | A new adaptive algorithm for penalty function optimization for minimum-energy three-states conical intersections (ME3CI) is suggested. The new algorithm differs from the original penalty function algorithm by (a) removing the redundancy in the target function, (b) using an adaptive increment for the penalty function weighting factor, and (c) using tighter convergence criteria for the energy gap. The latter was introduced to guarantee convergence to a true conical intersection rather than to a narrowly avoided crossing geometry. The new algorithm was tested in the optimization of the ME3CI geometries in butadiene and malonaldehyde, where all of the previously found true ME3CI geometries were recovered. The previously found butadiene's CI3/2/1 turned out to be a narrowly avoided crossing. For butadiene, seven new ME3CI geometries have been located. Because of the removal of the redundancy and the use of the adaptive weighting factor, the convergence rate of the new algorithm is noticeably improved as compared to that of the previously proposed penalty function algorithm. The application to malonaldehyde and butadiene demonstrates that the three-state conical intersections may be more abundant and hence more involved in the photochemistry than previously thought. The recently developed mixed-reference spin flip (MRSF)-TDDFT method yields ME3CI geometries and relative energies quantitatively consistent with the previously reported calculations at a much reduced computational cost. | Baek, Yong Su; Lee, Seunghoon; Filatov, Michael; Choi, Cheol Ho | Kyungpook Natl Univ, Dept Chem, Daegu 702701, South Korea; CALTECH, Div Chem & Chem Engn, Pasadena, CA 91125 USA | Lee, Seunghoon/AAB-4846-2021; Choi, Cheol Ho/AAA-4705-2020 | 7005134246; 7402958948; 57201976608; 57194591254 | mike.filatov@gmail.com;cchoi@knu.ac.kr; | JOURNAL OF PHYSICAL CHEMISTRY A | J PHYS CHEM A | 1089-5639 | 1520-5215 | 125 | 9 | SCIE | CHEMISTRY, PHYSICAL;PHYSICS, ATOMIC, MOLECULAR & CHEMICAL | 2021 | 2.944 | 37.5 | 2.43 | 2025-07-30 | 31 | 34 | Adaptive algorithms; Butadiene; Computation theory; Geometry; Redundancy; Adaptive penalty functions; Adaptive weighting; Computational costs; Conical intersection; Convergence criterion; Convergence rates; Penalty function algorithm; Weighting factors; Density functional theory | English | 2021 | 2021-03-11 | 10.1021/acs.jpca.0c11294 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Risk factors of beta-lactam anaphylaxis in Korea: A 6-year multicenter retrospective adult case-control study | Background: Beta-lactams (BLs) are commonly used antibiotics and leading causative agents of drug-induced anaphylaxis. Few studies on the culprit drugs and risk factors of BL-induced anaphylaxis are available. Our goal was to evaluate the culprit drugs and compare the risk fac-tors in patients with BL-induced anaphylaxis to matched tolerant controls in a hospital setting. Methods: We retrospectively enrolled all patients who developed anaphylaxis from intravenous BL during hospitalization from 9 Korean hospitals. We compared clinical parameters between patients with BL-induced anaphylaxis and 4-fold BL-tolerant controls matched by age, sex, BL use, and the purpose of BL administration. Results: Seventy-four cases of BL-induced anaphylaxis and 296 BL-tolerant controls were enrolled. Cephalosporin accounted for 77% of total BL-induced anaphylaxis, and the top de-rivatives were ceftriaxone (23.0%), cefazedone (10.8%), and cefbuperazone (9.5%). Among penicillin derivatives, piperacillin (16.2%) was the most common, followed by ampicillin (2.7%). History of drug allergy (odds ratio [OR], 19.91; 95% confidence interval [CI] 5.33-74.44), previous exposure to the causative BL (OR, 7.71; 95% CI, 1.62-36.76), and concurrent administration of angiotensin-converting enzyme inhibitors (ACEIs) (OR, 5.97; 95% CI, 1.28-27.91) were indepen-dent risk factors associated with BL-induced anaphylaxis. Food allergy (OR, 13.93; 95% CI 1.31- 148.9) and previous exposure to BL (OR, 6.59; 95% CI, 1.30-33.31) were identified as risk factors for cephalosporin-induced anaphylaxis. Conclusions: To prevent BL-induced anaphylaxis, attention should be paid to histories of drug or food allergy, previous exposure to BLs, and ACEI use. The risk factors and clinical outcomes might vary according to the BL classes. | Park, Chan Sun; Yang, Min-Suk; Kang, Dong-Yoon; Park, Hye Jung; Park, So-Young; Nam, Young-Hee; Kim, Sujeong; Jung, Jae-Woo; Park, Hye-Kyung; Kang, Hye-Ryun | Inje Univ, Haeundae Paik Hosp, Dept Internal Med, Busan, South Korea; SMG SNU Boramae Med Ctr, Dept Internal Med, Seoul, South Korea; Seoul Natl Univ Hosp, Drug Safety Monitoring Ctr, Seoul, South Korea; Yonsei Univ, Gangnam Severance Hosp, Dept Internal Med, Coll Med, Seoul, South Korea; Eulji Univ, Eulji Gen Hosp, Dept Internal Med, Sch Med, Seoul, South Korea; Dong A Univ, Coll Med, Dept Internal Med, Busan, South Korea; Kyungpook Natl Univ, Sch Med, Dept Internal Med, Daegu, South Korea; Chung Ang Univ, Dept Internal Med, Coll Med, Seoul, South Korea; Pusan Natl Univ, Pusan Natl Univ Hosp, Dept Internal Med, Coll Med, Busan, South Korea; Seoul Natl Univ, Dept Internal Med, Div Allergy & Clin Immunol, Coll Med, Seoul, South Korea | Park, Hye-Kyung/Q-5586-2019; Park, Chan-Sun/AAT-3431-2021; Kim, Ju-Hyoung/N-1450-2019 | 57191996109; 7404927140; 37077171700; 56734724500; 57213917744; 37006947800; 36666447400; 57189648165; 57208252986; 7404070922 | parkhk@puan.ac.kr;helenmed@snu.ac.kr; | WORLD ALLERGY ORGANIZATION JOURNAL | WORLD ALLERGY ORGAN | 1939-4551 | 14 | 9 | SCIE | ALLERGY;IMMUNOLOGY | 2021 | 5.516 | 37.5 | 0.43 | 2025-07-30 | 8 | 8 | Anaphylaxis; Beta-lactams; Cephalosporin; Drug hypersensitivity; Angiotensin-con-verting enzyme inhibitors; Case-control studies | CLINICAL-FEATURES; FATAL ANAPHYLAXIS; EPIDEMIOLOGY; HYPERSENSITIVITY; SEVERITY | Anaphylaxis; Angiotensin-converting enzyme inhibitors; Beta-lactams; Case-control studies; Cephalosporin; Drug hypersensitivity | amoxicillin; ampicillin; beta lactam; cefazedone; cefazolin; cefbuperazone; cefepime; cefmenoxime; cefminox; cefoperazone; cefotaxime; cefotetan; cefotiam; ceftazidime; ceftezole; ceftizoxime; ceftriaxone; cephalosporin; dipeptidyl carboxypeptidase inhibitor; flomoxef; piperacillin; ticarcillin; adult; age; allergic rhinitis; anaphylaxis; Article; asthma; atopic dermatitis; case control study; clinical feature; clinical outcome; confidence interval; controlled study; demography; disease severity; drug hypersensitivity; female; food allergy; hospitalization; human; Korea; major clinical study; male; middle aged; multicenter study; odds ratio; retrospective study; risk factor; sex; university hospital | English | 2021 | 2021-09 | 10.1016/j.waojou.2021.100580 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Current-voltage characteristics and photovoltaic effect of a Au/ZnFe2O4/GaN Schottky junction | A Au/ZnFe2O4/GaN Schottky junction with a semiconducting heteroepitaxial ZnFe2O4 insertion layer was prepared by using a combined synthesis process of pulsed laser deposition and sputtering. The current-voltage (I-V) and capacitance-voltage (C-V) characteristics of the Schottky junction, as well as its photovoltaic effect, were investigated under dark conditions or ultraviolet (UV) or blue illumination. Insertion of the semiconducting ZnFe2O4 interlayer clearly induced an increase in the rectification ratio. Based on I-V measurements in a forward bias region, the barrier height and ideality factor of the Au/ZnFe2O4/GaN junction were estimated to be about 0.89 eV and 1.58, respectively. On the other hand, C-V measurement in a reversed bias region suggested a relatively larger barrier height of similar to 1.32 eV. The Au/ZnFe2O4/GaN junction showed an open-circuit voltage of similar to 0.5 V under UV light and a clear switching photocurrent behavior with UV ON/OFF. A schematic band model with two interfaces, Au/ZnFe2O4 and ZnFe2O4/GaN, was proposed to explain the measured barrier heights in forward and reverse bias regions. | Ghimire, Santosh; Dho, Joonghoe | Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea | 57203357807; 6602898623 | jhdho@knu.ac.kr; | JOURNAL OF PHYSICS D-APPLIED PHYSICS | J PHYS D APPL PHYS | 0022-3727 | 1361-6463 | 54 | 9 | SCIE | PHYSICS, APPLIED | 2021 | 3.409 | 37.6 | 0.33 | 2025-07-30 | 5 | 5 | metal– semiconductor junction; Schottky junction; I– V curve; photovoltaic | ELECTRICAL CHARACTERISTICS; TRANSPORT-PROPERTIES; METAL-SEMICONDUCTOR; OHMIC CONTACTS; ZINC FERRITE; TEMPERATURE; ULTRAVIOLET; TRANSISTORS; FIELD; TIO2 | Bias voltage; Capacitance; Current voltage characteristics; Gold compounds; Iron compounds; Open circuit voltage; Photocurrents; Photovoltaic effects; Pulsed laser deposition; Semiconducting gallium compounds; Capacitance-voltage characteristics; Dark conditions; I-V measurements; Ideality factors; Insertion layers; Rectification ratio; Schottky junctions; Synthesis process; Semiconducting zinc compounds | English | 2021 | 2021-03-04 | 10.1088/1361-6463/abc8b8 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | A method of generating depth images for view-based shape retrieval of 3D CAD models from partial point clouds | Laser scanners can easily acquire the geometric data of physical environments in the form of point clouds. Industrial 3D reconstruction processes generally recognize objects from point clouds, which should include both geometric and semantic data. However, the recognition process is often a bottleneck in 3D reconstruction because it is labor intensive and requires expertise in domain knowledge. To address this problem, various methods have been developed to recognize objects by retrieving their corresponding models from a database via input geometric queries. In recent years, geometric data conversion to images and view-based 3D shape retrieval applications have demonstrated high accuracies. Depth images that encode the depth values as pixel intensities are frequently used for view-based 3D shape retrieval. However, geometric data collected from objects are often incomplete owing to occlusions and line-of-sight limitations. Images generated by occluded point clouds lower the view-based 3D object retrieval performance owing to loss of information. In this paper, we propose a viewpoint and image-resolution estimation method for view-based 3D shape retrieval from point cloud queries. Further, automatic selection of viewpoint and image resolution are proposed using the data acquisition rate and density calculations from sampled viewpoints and image resolutions. The retrieval performances for images generated by the proposed method are investigated via experiments and compared for various datasets. Additionally, view-based 3D shape retrieval performance with a deep convolutional neural network was investigated using the proposed method. | Kim, Hyungki; Yeo, Changmo; Cha, Moohyun; Mun, Duhwan | Jeonbuk Natl Univ, Div Comp Sci & Engn, 567 Baekje Daero, Jeonju Si 54896, Jeollabuk Do, South Korea; Kyungpook Natl Univ, Dept Precis Mech Engn, 2559 Gyeongsang Daero, Sangju 37224, Gyeongsangbuk D, South Korea; Korea Inst Machinery & Mat, Mech Syst Safety Res Div, 156 Gajeongbuk Ro, Daejeon 34103, South Korea; Korea Univ, Sch Mech Engn, 145 Anam Ro, Seoul 02841, South Korea | Mun, Duhwan/AAC-5360-2020 | 55822427500; 57219221804; 23987479200; 23019305700 | hk.kim@jbnu.ac.kr;ycm2420@gmail.com;mhcha@kimm.re.kr;dhmun@korea.ac.kr; | MULTIMEDIA TOOLS AND APPLICATIONS | MULTIMED TOOLS APPL | 1380-7501 | 1573-7721 | 80 | 7 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, SOFTWARE ENGINEERING;COMPUTER SCIENCE, THEORY & METHODS;ENGINEERING, ELECTRICAL & ELECTRONIC | 2021 | 2.577 | 37.7 | 0.98 | 2025-07-30 | 17 | 18 | Depth image; Image resolution selection; Point cloud; View-based 3D shape retrieval; Viewpoint selection | SEGMENTATION | Depth image; Image resolution selection; Point cloud; View-based 3D shape retrieval; Viewpoint selection | Computer aided design; Convolutional neural networks; Data acquisition; Data handling; Deep neural networks; Geometry; Image resolution; Information retrieval; Query languages; Semantics; 3D object retrieval; 3D reconstruction; 3D shape retrieval; Automatic selection; Physical environments; Recognition process; Resolution estimation; Retrieval performance; Image reconstruction | English | 2021 | 2021-03 | 10.1007/s11042-020-10283-z | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Hardware-friendly architecture for a pseudo 2D weighted median filter based on sparse-window approach | Stereo matching, which is conventionally used for three-dimensional (3D) information acquisition through cameras, is the most actively studied subject in computer vision. To obtain sophisticated 3D information, refining the disparity map in stereo vision is important. The weighted median filter (WMF) is extensively used to eliminate outliers in post-processing. To this end, various studies have implemented WMFs in hardware for real-time processing. Among them, the separable weighted median filter (sWMF) vertically and horizontally separates a two-dimensional WMF into two one-dimensional WMFs to reduce hardware resource usage. Herein, we propose a hardware architecture that can reduce the hardware resource usage of the sWMF by applying the sparse-window approach, which is a method of creating a window by selecting pixels sparsely. This approach makes it possible to reduce drastically the number of elements to be computed. Although the proposed architecture has an insignificant disparity error rate, similar to that of the sWMF, it saves 33% slice lookup tables (LUTs) and 69% slice registers when using a window size of 37 x 37 pixels as the synthesis result on the Xilinx XC7K325T FPGA. When a window size of 49 x 13 pixels with the best performance is used, the proposed architecture uses 7335 slice LUTs, 4126 slice registers, and 21 block RAMs. The proposed architecture operates at frequencies of up to 167.95 MHz; hence, it can operate in real time. The proposed WMF architecture is suitable for application in embedded systems and low-resource environments as it is hardware-friendly. | Hyun, Jongkil; Kim, Younghyeon; Kim, Junghwan; Moon, Byungin | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea; Kyungpook Natl Univ, Dept Mobile Telecommun Engn, Daegu, South Korea; Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea | Moon, Byungin/ACE-5308-2022 | 56911778100; 57219317399; 57222321332; 55419717700 | bihmoon@knu.ac.kr; | MULTIMEDIA TOOLS AND APPLICATIONS | MULTIMED TOOLS APPL | 1380-7501 | 1573-7721 | 80 | 26-27 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, SOFTWARE ENGINEERING;COMPUTER SCIENCE, THEORY & METHODS;ENGINEERING, ELECTRICAL & ELECTRONIC | 2021 | 2.577 | 37.7 | 0.24 | 2025-07-30 | 5 | 4 | Stereo vision; Stereo matching; Post-processing; Weighted median filter; Hardware implementation | Hardware implementation; Post-processing; Stereo matching; Stereo vision; Weighted median filter | Computer hardware; Embedded systems; One dimensional; Pixels; Stereo image processing; Stereo vision; Table lookup; Hardware architecture; Hardware resources; Lookup tables (LUTs); Post processing; Proposed architectures; Realtime processing; Three-dimensional (3D) information; Weighted median filter; Median filters | English | 2021 | 2021-11 | 10.1007/s11042-020-09906-2 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | Motivation research on the participation of multimedia Web page users in "share" behavior: a case study of Alipay | With the rapid development of mobile Internet technology, a series of activities such as "share billing bills", "share songs list", and "share footprints" in the past two years have won a great success and wide participation of users. It is of a great practical significance for enterprises to use multimedia to carry out "share" behavior to win users and gain competitive advantage. Therefore, this paper introduces the design of such multimedia pages and the multimedia technology used, and evaluates the interactivity of multimedia page design from the perspective of user experience. More specifically, we construct a motivation model for users to participate in "share" behavior, and use empirical research methods to analyze the impact of motivation (information motivation, social motivation, entertainment motivation) on users' participation in "share" behavior. The results demonstrate that information motivation, social motivation, and entertainment motivation have a significant impact on users' participation in "share" behavior. These influences, in the descending order of their importance, are entertainment motivation, information motivation, and social motivation. Privacy concerns do not play a mediating role in the relationship between motivation and user involvement in "share" behavior. Taken together, the results of the present study not only reveal and explain the motivation mechanism of consumers participating in "share" behavior in multimedia pages, but also help evaluate the perceived quality of emerging multimedia services from the perspective of consumer participation, as well as provide some inspiration for interactive design and improvement of multimedia pages. | Jin, Hong; Miao, Yunting; Chen, Xinping; Seo, Joung-Hae; Park, Eun-Mi | Jiangxi Normal Univ, Sch Business, 99 Ziyang Rd, Nanchang 330022, Jiangxi, Peoples R China; Nanchang Univ, Affiliated Hosp 1, 17 Yongwaizheng Rd, Nanchang 330022, Jiangxi, Peoples R China; Kyungpook Natl Univ, Sch Business, 80 Daehakro, Daegu 41566, South Korea | Chen, Xinping/C-7877-2018 | 57004102300; 57209291606; 57223293920; 57020497400; 56352305900 | 342944219@qq.com;771022025@qq.com;chenxpdr@163.com;johseo@knu.ac.kr;issack38317@naver.com; | MULTIMEDIA TOOLS AND APPLICATIONS | MULTIMED TOOLS APPL | 1380-7501 | 1573-7721 | 80 | 26-27 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, SOFTWARE ENGINEERING;COMPUTER SCIENCE, THEORY & METHODS;ENGINEERING, ELECTRICAL & ELECTRONIC | 2021 | 2.577 | 37.7 | 0.18 | 2025-07-30 | 3 | 3 | Multimedia; Web page; User engagement behavior; Motivation; Privacy concern; Knowledge discovery | CONSUMER PARTICIPATION; PRIVACY PARADOX; MODEL; ACCEPTANCE; DISCLOSURE | Knowledge discovery; Motivation; Multimedia; Privacy concern; User engagement behavior; Web page | Competition; Data mining; Entertainment; Motivation; Multimedia services; Multimedia systems; Quality control; User experience; Websites; Competitive advantage; Consumer participation; Empirical research method; Mobile Internet technology; Multimedia; Multimedia technologies; Privacy concerns; User engagement; Consumer behavior | English | 2021 | 2021-11 | 10.1007/s11042-020-08819-4 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Scene2Wav: a deep convolutional sequence-to-conditional SampleRNN for emotional scene musicalization | This paper presents Scene2Wav, a novel deep convolutional model proposed to handle the task of music generation from emotionally annotated video. This is important because when paired with the appropriate audio, the resulting music video is able to enhance the emotional effect it has on viewers. The challenge lies in transforming the video to audio domain and generating music. Our proposed encoder Scene2Wav uses a convolutional sequence encoder to embed dynamic emotional visual features from low-level features in the colour space, namely Hue, Saturation and Value. The decoder Scene2Wav is a proposed conditional SampleRNN which uses that emotional visual feature embedding as condition to generate novel emotional music. The entire model is fine-tuned in an end-to-end training fashion to generate a music signal evoking the intended emotional response from the listener. By taking into consideration the emotional and generative aspect of it, this work is a significant contribution to the field of Human-Computer Interaction. It is also a stepping stone towards the creation of an AI movie and/or drama director, which is able to automatically generate appropriate music for trailers and movies. Based on experimental results, this model can effectively generate music that is preferred to the user when compared to the baseline model and able to evoke correct emotions. | Sergio, Gwenaelle Cunha; Lee, Minho | Kyungpook Natl Univ, Sch Elect Engn, 80 Daehakro, Daegu 41566, South Korea | ; Lee, Min-Ho/ABE-5735-2021 | 57188756097; 57191730119 | gwena.cs@gmail.com;mholee@gmail.com; | MULTIMEDIA TOOLS AND APPLICATIONS | MULTIMED TOOLS APPL | 1380-7501 | 1573-7721 | 80 | 2 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, SOFTWARE ENGINEERING;COMPUTER SCIENCE, THEORY & METHODS;ENGINEERING, ELECTRICAL & ELECTRONIC | 2021 | 2.577 | 37.7 | 0.24 | 2025-07-30 | 6 | 4 | Sequence-to-conditional SampleRNN; Convolutional neural network; Deep recurrent neural network; Domain transformation; Emotional music generation | RECOGNITION | Convolutional neural network; Deep recurrent neural network; Domain transformation; Emotional music generation; Sequence-to-conditional SampleRNN | Convolution; Human computer interaction; Signal encoding; Baseline models; Colour spaces; Convolutional model; Emotional response; Low-level features; Music signals; Stepping stone; Visual feature; Audio acoustics | English | 2021 | 2021-01 | 10.1007/s11042-020-09636-5 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | A Deep Learning Framework Integrating the Spectral and Spatial Features for Image-Assisted Medical Diagnostics | The development of a computer-aided disease detection system to ease the long and arduous manual diagnostic process is an emerging research interest. Living through the recent outbreak of the COVID-19 virus, we propose a machine learning and computer vision algorithms-based automatic diagnostic solution for detecting the COVID-19 infection. Our proposed method applies to chest radiograph that uses readily available infrastructure. No studies in this direction have considered the spatial aspect of the medical images. This motivates us to investigate the role of spectral-domain information of medical images along with the spatial content towards improved disease detection ability. Successful integration of spatial and spectral features is demonstrated on the COVID-19 infection detection task. Our proposed method comprises three stages - Feature extraction, Dimensionality reduction via projection, and prediction. At first, images are transformed into spectral and spatio-spectral domains by using Discrete cosine transform (DCT) and Discrete Wavelet transform (DWT), two powerful image processing algorithms. Next, features from spatial, spectral, and spatio-spectral domains are projected into a lower dimension through the Convolutional Neural Network (CNN), and those three types of projected features are then fed to Multilayer Perceptron (MLP) for final prediction. The combination of the three types of features yielded superior performance than any of the features when used individually. This indicates the presence of complementary information in the spectral domain of the chest radiograph to characterize the considered medical condition. Moreover, saliency maps corresponding to classes representing different medical conditions demonstrate the reliability of the proposed method. The study is further extended to identify different medical conditions using diverse medical image datasets and shows the efficiency of leveraging the combined features. Altogether, the proposed method exhibits potential as a generalized and robust medical image-assisted diagnostic solution. | Ghosh, Susmita; Das, Swagatam; Mallipeddi, Rammohan | Indian Stat Inst, Elect & Commun Sci Unit, Kolkata 700108, India; Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 7027021, South Korea | ; Das, Swagatam/AAG-6753-2019; Mallipeddi, Rammohan/AAL-5306-2020 | 57706890800; 24729258600; 25639919900 | mallipeddi.ram@gmail.com; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 9 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2021 | 3.476 | 37.9 | 0.6 | 2025-07-30 | 9 | 9 | COVID-19; Pulmonary diseases; Discrete cosine transforms; X-ray imaging; Deep learning; Medical diagnostic imaging; Feature extraction; Medical imaging; diagnostic solution; COVID-19 detection; discrete cosine transform; discrete wavelet transform; deep learning; class imbalance; saliency map | NETWORK | class imbalance; COVID-19 detection; deep learning; diagnostic solution; discrete cosine transform; discrete wavelet transform; Medical imaging; saliency map | Backpropagation; Computer aided analysis; Computer aided diagnosis; Computer aided instruction; Deep learning; Discrete wavelet transforms; Extraction; Feature extraction; Image analysis; Image coding; Image enhancement; Image watermarking; Medical computing; Medical imaging; Neural networks; Radiography; Strain measurement; Class imbalance; COVID-19; COVID-19 detection; Deep learning; Diagnostic solution; Discrete-wavelet-transform; Features extraction; Medical diagnostic imaging; Saliency map; X-ray imaging; Discrete cosine transforms | English | 2021 | 2021 | 10.1109/access.2021.3133338 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | A Molecular Communication-Based Simultaneous Targeted-Drug Delivery Scheme | This paper considers simultaneous drug-delivery (SDD) in molecular communication-based (MC-based) targeted drug-delivery systems. In a realistic scenario, the drug-carrying nanomachines are randomly placed close to the infected site. Due to the random propagation delays in the MC channel, the drugs from multiple drug-carrying nanomachines may, therefore, not arrive simultaneously at the infected site, leading to low efficacy and resulting in drug-delivery-time errors. To overcome this error and to administer the drugs simultaneously at the infected site, we use an internal controller nanomachine to control the release times of the drug-carrying nanomachines, with consideration of the propagation delay, to achieve SDD. In this regard, we propose two SDD schemes, namely, the direct trigger estimate SDD (DTE-SDD) scheme and the indirect trigger estimate SDD (iDTE-SDD) scheme. The difference between these schemes is that in the iDTE-SDD scheme, to estimate the propagation delay, the internal controller nanomachine depends on the drug-carrying nanomachines, while in the DTE-SDD scheme, it does not. Furthermore, to study the errors theoretically, we derive the analytical model of delivery-time error, and this is validated with simulation results. We perform intensive evaluations to understand the system's behavior under different channel conditions, such as the number of molecules released and the distance. The simulation results highlight the proposed scheme's energy efficiency and robustness to the large propagation delay, reducing the delivery-time error to improve the accuracy of the SDD. | Islam, Tania; Shitiri, Ethungshan; Cho, Ho-Shin | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41556, South Korea | ; Shitiri, Ph.D., Ethungshan/Z-5918-2019 | 59634744500; 57190818428; 35316924900 | hscho@ee.knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 9 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2021 | 3.476 | 37.9 | 0.91 | 2025-07-30 | 9 | 12 | Drugs; Nanobioscience; Receivers; Propagation delay; Protocols; Monitoring; Transmitters; Molecular communication; nanonetworks; nanomedicine; targeted drug delivery | NETWORKING OPPORTUNITIES; NANOMACHINES; MODULATION; SYSTEMS; MODEL | Molecular communication; nanomedicine; nanonetworks; targeted drug delivery | Controlled drug delivery; Energy efficiency; Nanotechnology; Random errors; Channel conditions; Delivery time; Large propagation delays; Molecular communication; Propagation delays; Random propagation; Realistic scenario; Targeted drug delivery systems; Targeted drug delivery | English | 2021 | 2021 | 10.1109/access.2021.3094892 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Correction | A Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data (vol 8, pg 42342, 2020) | Jung, Inuk; Choi, Joungmin; Chae, Heejoon | Kyungpook Natl Univ, Dept Comp Sci & Engn, Daegu 41566, South Korea; Sookmyung Womens Univ, Dept Comp Sci, Seoul 04310, South Korea | Jung, Inuk/T-1981-2018 | 56067575500; 57205150304; 36560992300 | heechae@sookmyung.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 9 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2021 | 3.476 | 37.9 | 0 | 2025-07-30 | 0 | 0 | English | 2021 | 2021 | 10.1109/access.2021.3052111 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||||||
| ○ | ○ | Article | A Novel Approximate Adder Design Using Error Reduced Carry Prediction and Constant Truncation | This paper proposes a novel approximate adder that exploits an error-reduced carry prediction and constant truncation with error reduction schemes. The proposed adder design techniques significantly improve overall computation accuracy while providing excellent hardware efficiency. Particularly, the proposed carry prediction technique can reduce a prediction error rate by up to 75% compared to existing approximate adders considered in this paper. Furthermore, the error reduction technique also enhances the overall computation accuracy by decreasing the error distance (ED). Our experimental results show that the proposed adder improves the normalized mean ED (NMED) and mean relative ED (MRED) by up to 91.4% and 98.9%, respectively, compared to the other approximate adders. Importantly, an excellent design tradeoff allows the proposed adder to be the most competitive of the adders under consideration. Specifically, the proposed adder achieves up to 95.7%, 91.1%, and 93.2% reductions of the power-NMED, energy-NMED, and area-delay product (ADP)-NMED products, respectively, compared to the other adders. Our adder enhances the power-, energy-, and ADP-MRED products by up to 99.4% compared to the others. In particular, the figure of merit (FoM) considering both hardware and accuracy of the proposed adder is up to 93.05% smaller than that of the other approximate adders considered herein. Furthermore, we confirm that the approximation errors caused by the proposed adder have very little impact on output quality when adopted in practical applications, such as digital image processing and machine learning. | Lee, Jungwon; Seo, Hyoju; Seok, Hyelin; Kim, Yongtae | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | ; Seo, Hyoju/GSD-8672-2022 | 57219710729; 57215662369; 57237930600; 55699627900 | yongtae@knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 9 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2021 | 3.476 | 37.9 | 2.73 | 2025-07-30 | 32 | 43 | Adders; Hardware; Logic gates; Error analysis; Multiplexing; Licenses; Computer architecture; Approximate adder; approximate computing; carry prediction; constant truncation; error reduction | LOW-POWER | Approximate adder; approximate computing; carry prediction; constant truncation; error reduction | Design; Errors; Forecasting; Image processing; Approximation errors; Carry prediction; Computation accuracy; Error reduction; Error reduction techniques; Figure of merit (FOM); Hardware efficiency; Prediction error rates; Adders | English | 2021 | 2021 | 10.1109/access.2021.3108443 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | A Reinforcement Learning Approach for Optimal Placement of Sensors in Protected Cultivation Systems | Optimal placement of sensors in protected cultivation systems to maximize monitoring and control capabilities can guide effective decision-making toward achieving the highest levels of productivity and other desirable outcomes. Reinforcement learning, unlike conventional machine learning methods such as supervised learning does not require large, labeled datasets thereby providing opportunities for more efficient and unbiased design optimization. With the objective of determining the optimal locations of sensors in a greenhouse, a multi-arm bandit problem was formulated using the Beta distribution and solved by the Thompson sampling algorithm. A total of 56 two-in-one sensors designed to measure both internal air temperature and relative humidity were installed at a vertical distance of 1 m and a horizontal distance of 3m apart in a greenhouse used to cultivate strawberries. Data was collected over a period of seven months covering four major seasons, February (winter), March, April, and May (spring), June and July (summer), and October (autumn) and analyzed separately. Results showed unique patterns for sensor selection for temperature and relative humidity during the different months. Furthermore, temperature and relative humidity each had different optimal location selections suggesting that two-in-one sensors might not be ideal in these cases. The use of reinforcement learning to design optimal sensor placement in this study aided in identifying 10 optimal sensor locations for monitoring and controlling temperature and relative humidity. | Uyeh, Daniel Dooyum; Bassey, Blessing Itoro; Mallipeddi, Rammohan; Asem-Hiablie, Senorpe; Amaizu, Maryleen; Woo, Seungmin; Ha, Yushin; Park, Tusan | Kyungpook Natl Univ, Dept Bioind Machinery Engn, Daegu 41566, South Korea; Kyungpook Natl Univ, Upland Field Machinery Res Ctr, Daegu 41566, South Korea; Kyungpook Natl Univ, Smart Agr Innovat Ctr, Daegu 41566, South Korea; African Inst Math Sci, African Masters Machine Intelligence, KG590 ST, Kigali, Rwanda; Kyungpook Natl Univ, Sch Elect Engn, Dept Artificial Intelligence, Daegu 41566, South Korea; Penn State Univ, Inst Energy & Environm, University Pk, PA 16802 USA; Univ Leicester, Coll Sci & Engn, Leicester LE1 7RH, Leics, England | Mallipeddi, Rammohan/AAL-5306-2020; Park, Tusan/C-2057-2012 | 57194449611; 57879869700; 25639919900; 36656958300; 57226175964; 57192074884; 57192072314; 57202780408 | yushin72@knu.ac.kr;tusan.park@knu.ac.kr; | IEEE ACCESS | IEEE ACCESS | 2169-3536 | 9 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;ENGINEERING, ELECTRICAL & ELECTRONIC;TELECOMMUNICATIONS | 2021 | 3.476 | 37.9 | 0.98 | 2025-07-30 | 14 | 16 | Sensors; Temperature sensors; Sensor systems; Sensor placement; Temperature measurement; Green products; Monitoring; Data quality; environmental monitoring; greenhouse; reinforcement learning; smart agriculture; temperature & relative humidity | DISTRIBUTED SYSTEMS; TECHNOLOGIES; INFORMATION; ENVIRONMENT; NETWORKS; LOCATION; CLIMATE | Data quality; Environmental monitoring; Greenhouse; Reinforcement learning; Smart agriculture; Temperature & relative humidity | Decision making; Greenhouses; Humidity control; Large dataset; Learning systems; Location; Conventional machines; Monitoring and control; Monitoring and controlling; Optimal placement of sensors; Optimal sensor locations; Optimal sensor placement; Reinforcement learning approach; Temperature and relative humidity; Reinforcement learning | English | 2021 | 2021 | 10.1109/access.2021.3096828 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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