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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 | Galinstan-based flexible microfluidic device for wireless human-sensor applications | Liquid-metal-based wearable technologies are one of the promising ways to realize soft-skin flexible electronics. Here, we report a flexible microfluidic device that injects Galinstan liquid-metal alloy through the microchannels of a polydimethylsiloxane (PDMS) substrate, targeting an inductor-capacitor (LC) resonant circuit for wireless power transmission and sensing. The surface inside PDMS microchannels is chemically modified using sulfuric acid (H2SO4) solution, making it easier for the liquid metal to flow through the microfluidic channel. Electromechanical characteristics of the capacitive pressure sensors were evaluated by loading and unloading the external pressure continuously in the range of 0-200 mmHg for 300 cycles. After that, the characterization of Galinstan-based flexible microfluidic sensors consisting of the LC circuit conducted in a strain range of up to 30 %. Finally, monitoring of various human motion (e.g., wrist flexion and finger motion) was demonstrated using a wireless sensing platform with an external antenna. Electrical and mechanical performances confirm that the Galinstan-based sensors are reliable, reproducible, repeatable, and flexible with a sensitivity of 5 kHz/mmHg. The proposed flexible microfluidic device has the potential to become an exceptionally reliable candidate for wireless human-machine applications. (C) 2020 Elsevier B.V. All rights reserved. | Munirathinam, Karthikeyan; Park, Jongsung; Jeong, Yun-Jin; Lee, Dong-Weon | Chonnam Natl Univ, Sch Mech Syst Engn, MEMS & Nanotechnol Lab, Gwangju 61186, South Korea; Kyungpook Natl Univ, Dept Precis Mech Engn, Sangju 37224, South Korea; Chonnam Natl Univ, Ctr Next Generat Sensor Res & Dev, Gwangju 61186, South Korea | 57219625153; 57189583605; 56261982700; 34875377700 | mems@jnu.ac.kr; | SENSORS AND ACTUATORS A-PHYSICAL | SENSOR ACTUAT A-PHYS | 0924-4247 | 1873-3069 | 315 | SCIE | ENGINEERING, ELECTRICAL & ELECTRONIC;INSTRUMENTS & INSTRUMENTATION | 2020 | 3.407 | 25.8 | 1.32 | 2025-06-25 | 29 | 29 | Galinstan; Flexible microfluidic device; PDMS microchannel surface modification; Wireless capacitive sensor; Human-motion monitoring | LIQUID; POWER | Flexible microfluidic device; Galinstan; Human-motion monitoring; PDMS microchannel surface modification; Wireless capacitive sensor | Antennas; Capacitive sensors; Flexible electronics; Fluidic devices; Inductive power transmission; Liquid metals; Microchannels; Polydimethylsiloxane; Resonant circuits; Silicones; Unloading; Wearable technology; Capacitive pressure sensors; Chemically modified; Electromechanical characteristics; Flexible microfluidics; Loading and unloading; Mechanical performance; Microfluidic channel; Polydimethylsiloxane (PDMS) substrates; Microfluidics | English | 2020 | 2020-11-01 | 10.1016/j.sna.2020.112344 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Highly sensitive and flexible wearable pressure sensor with dielectric elastomer and carbon nanotube electrodes | Wearable sensors for tracking human body motion are being increasingly applied in medical systems and are considered important components of human-machine interfaces. This study proposes a flexible sandwich-like capacitive pressure sensor that consists of carbon nanotube-polydimethylsiloxane (CNT-PDMS) composite electrodes and a porous polymer dielectric layer. CNT yarn and polymer materials help fabricate a pressure sensor without complex patterns, easily and quickly. The dielectric layer is made of a porous polymer to improve the sensor sensitivity. The high porosity of the dielectric layer increases its deformation under pressure and enhances the sensitivity (to approximately 5.6 kPa(-1) (%)) even under low pressures (< 5 kPa). The sensitivity of the sensor varies according to the density of porosity and dielectric permittivity of the dielectric layer. Owing to the high porosity of the dielectric layer and flexibility of the CNT yarn, the capacitive pressure sensor proposed in this study exhibits good performance in detecting even a slight change in stimulus. The proposed pressure sensor can be applied in wearable applications such as human-friendly interfaces and sensitive electronic skins. (C) 2020 Published by Elsevier B.V. | Han, Maeum; Lee, Junyeop; Kim, Jae Keon; An, Hee Kyung; Kang, Shin-Won; Jung, Daewoong | Kyungpook Natl Univ, Coll IT Engn, Sch Elect Engn, Daegu 41566, South Korea; Korea Inst Ind Technol KITECH, Mechatron Technol Convergence R&D Grp, Daegu 42994, South Korea; Kyungpook Natl Univ, Dept Sensor & Display Engn, Daegu 41566, South Korea; Korea Inst Ind Technol KITECH, AI Syst Engn Grp, Daegu 42994, South Korea | 55931924500; 57203736115; 57194519849; 56647468900; 7405682695; 36019307900 | swkang@knu.ac.kr;dwjung@kitech.re.kr; | SENSORS AND ACTUATORS A-PHYSICAL | SENSOR ACTUAT A-PHYS | 0924-4247 | 1873-3069 | 305 | SCIE | ENGINEERING, ELECTRICAL & ELECTRONIC;INSTRUMENTS & INSTRUMENTATION | 2020 | 3.407 | 25.8 | 3.55 | 2025-06-25 | 66 | 72 | Carbon nanotube yarn; Pressure sensor; Capacitive type; Dielectric layer; Porous polymer; Deformation | CAPACITIVE PRESSURE; TACTILE SENSOR; TRANSPARENT; STRAIN; FABRICATION; CONDUCTORS | Capacitive type; Carbon nanotube yarn; Deformation; Dielectric layer; Porous polymer; Pressure sensor | Capacitive sensors; Carbon nanotubes; Deformation; Electrodes; Machine components; Motion sensors; Motion tracking; Partial pressure sensors; Permittivity; Porosity; Porous carbon; Pressure sensors; Silicones; Wool; Yarn; Capacitive pressure sensors; Capacitive type; Carbon nanotube electrodes; Carbon nanotube yarns; Dielectric layer; Dielectric permittivities; Human-friendly interfaces; Porous polymers; Wearable sensors | English | 2020 | 2020-04-15 | 10.1016/j.sna.2020.111941 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Liquid metal embedded real time microfluidic flow pressure monitoring sensor | Precise monitoring of the fluidic pressure is one of the key factors that are required for microfluidics-based devices to be successfully utilized in various biomedical applications. Although conventional methods based on electrical and optical measurement are widely used, these technologies are unstable due to their complicated fabrication process as well as difficulties in integration with other components. Here, we developed a novel liquid metal embedded microfluidic flow pressure sensor that can be used to monitor the flow pressure changes within the microfluidic channels in real time for an elongated time and with high stability. The developed pressure sensor employed high aspect ratio membranes between a main flow channel and liquid metal filled sensing channels. When the input flow pressure changes, the high aspect ratio membrane deflects and affects dimensions/morphology of the liquid metal in the sensing channel, resulting in the variation of the electrical resistance. The electrical resistance of the liquid metal corresponding to different pressure levels (0-1200 mbar) were characterized, and their long-term reliability was tested as well. The variation electrical resistance in accordance to the pressure changes showed linear correlation with high repeatability and the developed sensor have been validated to work consistently even after 3 weeks. (C) 2020 Elsevier B.V. All rights reserved. | Peng, Kelu; Yao, Junyi; Cho, Sunghyun; Cho, Younghak; Kim, Hyun Soo; Park, Jaewon | Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China; Korea Institue Machinery & Mat, Daegu Res Ctr Med Devices & Rehabil, Daegu, South Korea; Seoul Natl Univ Technol, Sch Mech Design & Automat Engn, Seoul, South Korea; Kyungpook Natl Univ, Sch Mech Engn, Daegu, South Korea | Cho, Younghak/HDN-7234-2022; Park, Jaewon/I-3453-2013; Park, Jaewon/G-7432-2018 | 57215214073; 57207303704; 57215221736; 12769723300; 59863929300; 58766298900 | hyunsookim@kimm.re.kr;jwpark@sustech.edu.cn; | SENSORS AND ACTUATORS A-PHYSICAL | SENSOR ACTUAT A-PHYS | 0924-4247 | 1873-3069 | 305 | SCIE | ENGINEERING, ELECTRICAL & ELECTRONIC;INSTRUMENTS & INSTRUMENTATION | 2020 | 3.407 | 25.8 | 0.5 | 2025-06-25 | 12 | 11 | Liquid metal; Flow pressure sensor; Real time monitoring | Flow pressure sensor; Liquid metal; Real time monitoring | Aspect ratio; Channel flow; Electric resistance; Liquid metals; Medical applications; Metals; Optical data processing; Pressure sensors; Biomedical applications; Conventional methods; Different pressures; Electrical resistances; Fabrication process; Microfluidic channel; Optical measurement; Real time monitoring; Microfluidics | English | 2020 | 2020-04-15 | 10.1016/j.sna.2020.111909 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Optimization and characterization of a wideband multimode Tonpilz transducer for underwater acoustical arrays | A multimode underwater acoustical transducer is well-known for providing wider bandwidth than a conventional single-mode transducer. However, the design of a low-frequency multimode transducer to achieve the desired wideband characteristics for an underwater array is challenging when considering the array's size and weight limitations. Therefore, this study focused on the development of a multimode transducer structure for superior wideband characteristics. The effect of various structural parameters on the performance of the multimode Tonpilz transducer was first analyzed with emphasis on its bandwidth using the finite element method (FEM). Then, the structure of the transducer was improved by analyzing the effect of the side acoustic window and incorporating realistic design considerations. Finally, the improved transducer structure was optimized to have the widest possible bandwidth while maintaining its transmitting voltage response (TVR) level over a typical power requirement. The final design was validated by fabricating a prototype transducer and evaluating its acoustical performance. (C) 2020 Elsevier B.V. All rights reserved. | Afzal, Muhammad Shakeel; Lim, Youngsub; Lee, Seungjin; Yoon, Hongwoo; Roh, Yongrae | Kyungpook Natl Univ, Sch Mech Engn, Daegu 41556, South Korea; LIG Nex1 Co Ltd, Maritime Integrated Secur Syst, Seongnam 13488, South Korea | 57200092141; 56244666300; 57216561427; 57204548453; 7102361870 | yryong@knu.ac.kr; | SENSORS AND ACTUATORS A-PHYSICAL | SENSOR ACTUAT A-PHYS | 0924-4247 | 307 | SCIE | ENGINEERING, ELECTRICAL & ELECTRONIC;INSTRUMENTS & INSTRUMENTATION | 2020 | 3.407 | 25.8 | 0.99 | 2025-06-25 | 17 | 16 | Tonpilz transducer; acoustic window; boundary conditions; optimization | LOW-FREQUENCY; DESIGN | acoustic window; boundary conditions; optimization; Tonpilz transducer | Bandwidth; Ultrasonic transducers; Underwater acoustics; Acoustical performance; Design considerations; Structural parameter; Tonpilz transducer; Transducer structure; Transmitting voltage response; Weight limitations; Wideband characteristics; Transducers | English | 2020 | 2020-06-01 | 10.1016/j.sna.2020.112001 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Sensitive and reliable thermal micro-flow sensor for a drug infusion system | We developed a sensitive and reliable thermal micro-flow sensor (T mu FS) to measure extremely low flow rates for a drug infusion system. The T mu FS exploits a calorimetric principle. Various temperature differences upstream and downstream of a heated area were monitored by three temperature sensors to enable measurement of both cooling and heating effects at the multiple temperature-sensing areas. The flow rate was measured by subtraction or summation of the temperature differences between selected locations upstream and downstream. The temperature differences between heat loss and diffusion increased sensitivity of flow rate detection in range of 0-100 mL/h. The T mu FS takes non-invasive and non-intrusive measurements by monitoring thermal variations on the outer surface of a silicone IV tube. The T mu FS could detect flow rates as low as similar to 0.1 mL/h, with uncertainty <5%. The micro-flow sensor was accurate at a range of flow rates, initial liquid temperature, and tube inner diameters. In addition, temperatures variations in the T mu FS for flow rates agreed with numerical simulation. (C) 2020 Elsevier B.V. All rights reserved. | Lee, Dongkyu; Kim, Jiae; Park, Yangkyu; Lee, Kang-Ho; Kim, Changwon; Kwon, Ohwon; Kim, Seonghwan; Lee, Sang-Ryong | Korea Inst Machinery & Mat KIMM, Dept Med Devices, Daegu 42994, South Korea; Kyungpook Natl Univ, Dept Mech Engn, Daegu 702701, South Korea; Univ Calgary, Dept Mech & Mfg Engn, Calgary, AB T2N 1N4, Canada | Kim, Seonghwan (Sam)/J-6884-2012; Kim, Seonghwan/P-8007-2019 | 8673376500; 57216742281; 55485625500; 56697620500; 57199972728; 57026875700; 55718948100; 35766722100 | dongkyu@kimm.re.kr;owkwon@kimm.re.kr; | SENSORS AND ACTUATORS A-PHYSICAL | SENSOR ACTUAT A-PHYS | 0924-4247 | 309 | SCIE | ENGINEERING, ELECTRICAL & ELECTRONIC;INSTRUMENTS & INSTRUMENTATION | 2020 | 3.407 | 25.8 | 0.91 | 2025-06-25 | 24 | 24 | Thermal flow sensor; Flow rate detection; Noninvasive flow detection; Drug infusion system | Drug infusion system; Flow rate detection; Noninvasive flow detection; Thermal flow sensor | Drug infusion; Silicones; Temperature sensors; Infusion systems; Inner diameters; Liquid temperature; Micro flow sensors; Non-intrusive measurements; Temperature differences; Temperature sensing; Thermal variation; Flow rate | English | 2020 | 2020-07-01 | 10.1016/j.sna.2020.112033 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | VOC gas sensor based on hollow cubic assembled nanocrystal Zn2SnO4 for breath analysis | Hollow cubic assembled nanocrystal Zn2SnO4 was synthesized via one-step hydrothermal method for VOC gas sensing applications. The obtained Zn2SnO4 materials had a uniformly hollow cubic structure with an average size of approximately 1 mu m and a wall thickness of about 150 nm formed from nanocrystals of around 14 nm. The X-ray absorption near-edge structure results showed no structural disorder and/or lattice damage around the Zn-absorbing atoms and the Zn oxidation state of 2+ in the host lattice of the hollow cubic Zn2SnO4. The gas sensing characteristics of the prepared Zn2SnO4 material were tested to C3H6O, C2H5OH, CH3OH, NH3, H-2, and CO at 350 degrees C-450 degrees C and results showed that the sensors exhibited a good response to acetone and ethanol gases. The highest response values were 47.80 for 125 ppm of acetone and 7.52 for 10 ppm of ethanol at 450 degrees C. The Zn2SnO4 hollow cubic sensor demonstrated high sensitivity and selectivity to acetone with good stability and a detection limit of 175 ppb. The VOC sensing mechanism of the hollow cubic Zn2SnO4-based sensor was also discussed. The findings indicated that hollow cubic Zn2SnO4 is a promising material for use in excellent VOC gas sensing application towards breath analysis. (C) 2020 Elsevier B.V. All rights reserved. | Nguyen Hong Hanh; Lai Van Duy; Chu Manh Hung; Nguyen Van Duy; Heo, Young-Woo; Nguyen Van Hieu; Nguyen Duc Hoa | HUST, ITIMS, 1 Dai Co Viet St, Hanoi, Vietnam; Inst Engn Phys, 17 Hoang Sam St, Hanoi 122108, Vietnam; Kyungpook Natl Univ, Sch Mat Sci & Engn, Daegu 41566, South Korea; Phenikaa Univ, Fac Elect & Elect Engn, Hanoi 10000, Vietnam; Phenikaa Univ, Phenikaa Inst Adv Study, Hanoi 10000, Vietnam | Hoa, Nguyen/K-3544-2012; Vân-Anh, Nguyen/ITT-3241-2023; Hung, Chu/Z-3690-2019; NGUYEN, Viet/Y-7372-2019; Van Hieu, Nguyen/C-7172-2011 | 57217402147; 57212019712; 57190213388; 16053717800; 7004298542; 37063946700; 13105338900 | hung.chumanh@hust.edu.vn;ndhoa@itims.edu.vn; | SENSORS AND ACTUATORS A-PHYSICAL | SENSOR ACTUAT A-PHYS | 0924-4247 | 1873-3069 | 302 | SCIE | ENGINEERING, ELECTRICAL & ELECTRONIC;INSTRUMENTS & INSTRUMENTATION | 2020 | 3.407 | 25.8 | 3.89 | 2025-06-25 | 56 | 58 | VOC gas sensor; Hollow cubic Zn2SnO4; High-performance; Sub-ppm level; Gas-sensing mechanism | METAL-OXIDE NANOSTRUCTURES; SENSING PROPERTIES; ZINC STANNATE; H2S GAS; PERFORMANCE; ACETONE; NANOFIBERS; DIAGNOSIS; NANOWIRES; SPHERES | Gas-sensing mechanism; High-performance; Hollow cubic Zn<sub>2</sub>SnO<sub>4</sub> ; Sub-ppm level; VOC gas sensor | Acetone; Ammonia; Catalyst selectivity; Chemical detection; Chemical sensors; Ethanol; Gas detectors; Gases; Nanocrystals; Tin compounds; X ray absorption; X ray absorption near edge structure spectroscopy; Gas sensing applications; Gas sensing characteristics; Gas sensing mechanism; High-performance; Structural disorders; Sub-ppm level; X ray absorption near edge structure; Zn2SnO4; Zinc compounds | English | 2020 | 2020-02-01 | 10.1016/j.sna.2020.111834 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||
| ○ | ○ | Article | A multi-dimensional search for new heavy resonances decaying to boosted WW, WZ, or ZZ boson pairs in the dijet final state at 13TeV | A search in an all-jet final state for new massive resonances decaying to WW, WZ, or ZZ boson pairs using a novel analysis method is presented. The analysis is performed on data corresponding to an integrated luminosity of 77.3 fb(-1) recorded with the CMS experiment at the LHC at a centre-of-mass energy of 13TeV. The search is focussed on potential narrow-width resonances with masses above 1.2TeV, where the decay products of each W or Z boson are expected to be collimated into a single, large-radius jet. The signal is extracted using a three-dimensional maximum likelihood fit of the two jet masses and the dijet invariant mass, yielding an improvement in sensitivity of up to 30% relative to previous search methods. No excess is observed above the estimated standard model background. In a heavy vector triplet model, spin-1 Z' and W' resonances with masses below 3.5 and 3.8TeV, respectively, are excluded at 95% confidence level. In a bulk graviton model, upper limits on cross sections are set between 27 and 0.2 fb for resonance masses between 1.2 and 5.2TeV, respectively. The limits presented in this paper are the best to date in the dijet final state. | Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Asilar, E.; Bergauer, T.; Brandstetter, J.; Dragicevic, M.; Eroe, J.; Del Valle, A. Escalante; Flechl, M.; Fruehwirth, R.; Ghete, V. M.; Hrubec, J.; Jeitler, M.; Krammer, N.; Kraetschmer, I.; Liko, D.; Madlener, T.; Mikulec, I.; Rad, N.; Rohringer, H.; Schieck, J.; Schoefbeck, R.; Spanring, M.; Spitzbart, D.; Taurok, A.; Waltenberger, W.; Wittmann, J.; Wulz, C. -E.; Zarucki, M.; Chekhovsky, V.; Mossolov, V.; Gonzalez, J. Suarez; De Wolf, E. A.; Di Croce, D.; Janssen, X.; Lauwers, J.; Pieters, M.; Van De Klundert, M.; Janssen, X.; Lauwers, J.; Pieters, M.; Van De Klundert, M.; Van Haevermaet, H.; Van Mechelen, P.; Van Remortel, N.; Abu Zeid, S.; Blekman, F.; D'Hondt, J.; De Bruyn, I.; De Clercq, J.; Deroover, K.; Flouris, G.; Lontkovskyi, D.; Lowette, S.; Marchesini, I.; Moortgat, S.; Moreels, L.; Python, Q.; Skovpen, K.; Tavernier, S.; Van Doninck, W.; Van Mulders, P.; Van Parijs, I.; Beghin, D.; Bilin, B.; Brun, H.; Clerbaux, B.; De Lentdecker, G.; Delannoy, H.; Dorney, B.; Fasanella, G.; Favart, L.; Goldouzian, R.; Grebenyuk, A.; Kalsi, A. K.; Lenzi, T.; Luetic, J.; Postiau, N.; Starling, E.; Thomas, L.; Vander Velde, C.; Vanlaer, P.; Vannerom, D.; Wang, Q.; Cornelis, T.; Dobur, D.; Fagot, A.; Gul, M.; Khvastunov, I.; Poyraz, D.; Roskas, C.; Trocino, D.; Tytgat, M.; Verbeke, W.; Vermassen, B.; Vit, M.; Zaganidis, N.; Bakhshiansohi, H.; Bondu, O.; Brochet, S.; Bruno, G.; Caputo, C.; David, P.; Delaere, C.; Delcourt, M.; Francois, B.; Giammanco, A.; Krintiras, G.; Lemaitre, V.; Magitteri, A.; Mertens, A.; Musich, M.; Piotrzkowski, K.; Saggio, A.; Marono, M. Vidal; Wertz, S.; Zobec, J.; Alves, F. L.; Alves, G. A.; Martins Junior, M. Correa; Correia Silva, G.; Hensel, C.; Moraes, A.; Pol, M. E.; Rebello Teles, P.; Belchior Batista Das Chagas, E.; Carvalho, W.; Chinellato, J.; Coelho, E.; Da Costa, E. M.; Da Silveira, G. G.; De Jesus Damiao, D.; De Oliveira Martins, C.; Fonseca De Souza, S.; Malbouisson, H.; Matos Figueiredo, D.; Melo De Almeida, M.; Mora Herrera, C.; Mundim, L.; Nogima, H.; Prado Da Silva, W. L.; Sanchez Rosas, L. J.; Santoro, A.; Sznajder, A.; Thiel, M.; Tonelli Manganote, E. J.; Torres Da Silva De Araujo, F.; Vilela Pereira, A.; Ahuja, S.; Bernardes, C. A.; Calligaris, L.; Fernandez Perez Tomei, T. R.; Gregores, E. M.; Mercadante, P. G.; Novaes, S. F.; Padula, Sandra S.; Romero Abad, D.; Aleksandrov, A.; Hadjiiska, R.; Iaydjiev, P.; Marinov, A.; Misheva, M.; Rodozov, M.; Shopova, M.; Sultanov, G.; Dimitrov, A.; Litov, L.; Pavlov, B.; Petkov, P.; Fang, W.; Gao, X.; Yuan, L.; Ahmad, M.; Bian, J. G.; Chen, G. M.; Chen, H. S.; Chen, M.; Chen, Y.; Jiang, C. H.; Leggat, D.; Liao, H.; Liu, Z.; Romeo, F.; Shaheen, S. M.; Spiezia, A.; Tao, J.; Wang, C.; Wang, Z.; Yazgan, E.; Zhang, H.; Zhao, J.; Ban, Y.; Chen, G.; Levin, A.; Li, J.; Li, L.; Li, Q.; Mao, Y.; Qian, S. J.; Wang, D.; Xu, Z.; Wang, Y.; Avila, C.; Cabrera, A.; Carrillo Montoya, C. A.; Chaparro Sierra, L. F.; Florez, C.; Gonzalez Hernandez, C. F.; Segura Delgado, M. A.; Courbon, B.; Godinovic, N.; Lelas, D.; Puljak, I.; Sculac, T.; Antunovic, Z.; Kovac, M.; Brigljevic, V.; Ferencek, D.; Kadija, K.; Mesic, B.; Starodumov, A.; Susa, T.; Ather, M. W.; Attikis, A.; Kolosova, M.; Mavromanolakis, G.; Mousa, J.; Nicolaou, C.; Ptochos, F.; Razis, P. A.; Rykaczewski, H.; Finger, M.; Finger, M., Jr.; Ayala, E.; Jarrin, E. Carrera; Assran, Y.; Elgammal, S.; Mohammed, Y.; Bhowmik, S.; De Oliveira, A. Carvalho Antunes; Dewanjee, R. K.; Ehataht, K.; Kadastik, M.; Raidal, M.; Veelken, C.; Eerola, P.; Kirschenmann, H.; Pekkanen, J.; Voutilainen, M.; Havukainen, J.; Heikkila, J. K.; Jarvinen, T.; Karimaki, V.; Kinnunen, R.; Lampen, T.; Lassila-Perini, K.; Laurila, S.; Lehti, S.; Linden, T.; Luukka, P.; Maenpaa, T.; Siikonen, H.; Tuominen, E.; Tuominiemi, J.; Tuuva, T.; Besancon, M.; Couderc, F.; Dejardin, M.; Denegri, D.; Faure, J. L.; Ferri, F.; Ganjour, S.; Givernaud, A.; Gras, P.; de Monchenault, G. Hamel; Jarry, P.; Leloup, C.; Locci, E.; Malcles, J.; Negro, G.; Rander, J.; Rosowsky, A.; Sahin, M. O.; Titov, M.; Abdulsalam, A.; Amendola, C.; Antropov, I.; Beaudette, F.; Busson, P.; Charlot, C.; de Cassagnac, R. Granier; Kucher, I.; Lobanov, A.; Blanco, J. Martin; Nguyen, M.; Ochando, C.; Ortona, G.; Paganini, P.; Pigard, P.; Salerno, R.; Sauvan, J. B.; Sirois, Y.; Leiton, A. G. Stahl; Zabi, A.; Zghiche, A.; Agram, J. -L.; Andrea, J.; Bloch, D.; Brom, J. -M.; Chabert, E. C.; Cherepanov, V.; Collard, C.; Conte, E.; Fontaine, J. -C.; Gele, D.; Goerlach, U.; Jansova, M.; Le Bihan, A. -C.; Tonon, N.; Van Hove, P.; Gadrat, S.; Beauceron, S.; Bernet, C.; Boudoul, G.; Chanon, N.; Chierici, R.; Contardo, D.; Depasse, P.; El Mamouni, H.; Fay, J.; Finco, L.; Gascon, S.; Gouzevitch, M.; Grenier, G.; Ille, B.; Lagarde, F.; Laktineh, I. B.; Lattaud, H.; Lethuillier, M.; Mirabito, L.; Pequegnot, A. L.; Perries, S.; Popov, A.; Sordini, V.; Vander Donckt, M.; Viret, S.; Zhang, S.; Khvedelidze, A.; Tsamalaidze, Z.; Autermann, C.; Feld, L.; Kiesel, M. K.; Klein, K.; Lipinski, M.; Preuten, M.; Rauch, M. P.; Schomakers, C.; Schulz, J.; Teroerde, M.; Wittmer, B.; Zhukov, V.; Albert, A.; Duchardt, D.; Endres, M.; Erdmann, M.; Esch, T.; Fischer, R.; Ghosh, S.; Gueth, A.; Hebbeker, T.; Heidemann, C.; Hoepfner, K.; Keller, H.; Knutzen, S.; Mastrolorenzo, L.; Merschmeyer, M.; Meyer, A.; Millet, P.; Mukherjee, S.; Pook, T.; Radziej, M.; Reithler, H.; Rieger, M.; Scheuch, F.; Schmidt, A.; Teyssier, D.; Fluegge, G.; Hlushchenko, O.; Kress, T.; Kuensken, A.; Muller, T.; Nehrkorn, A.; Nowack, A.; Pistone, C.; Pooth, O.; Roy, D.; Sert, H.; Stahl, A.; Martin, M. Aldaya; Arndt, T.; Asawatangtrakuldee, C.; Babounikau, I.; Beernaert, K.; Behnke, O.; Behrens, U.; Martinez, A. Bermudez; Bertsche, D.; Bin Anuar, A. A.; Borras, K.; Botta, V.; Campbell, A.; Connor, P.; Contreras-Campana, C.; Costanza, F.; Danilov, V.; De Wit, A.; Defranchis, M. M.; Pardos, C. Diez; Damiani, D. Dominguez; Eckerlin, G.; Eichhorn, T.; Elwood, A.; Eren, E.; Gallo, E.; Geiser, A.; Luyando, J. M. Grados; Grohsjean, A.; Gunnellini, P.; Guthoff, M.; Haranko, M.; Harb, A.; Hauk, J.; Jung, H.; Kasemann, M.; Keaveney, J.; Kleinwort, C.; Knolle, J.; Kruecker, D.; Lange, W.; Lelek, A.; Lenz, T.; Lipka, K.; Lohmann, W.; Mankel, R.; Melzer-Pellmann, I. -A.; Meyer, A. B.; Meyer, M.; Missiroli, M.; Mittag, G.; Mnich, J.; Myronenko, V.; Pflitsch, S. K.; Pitzl, D.; Raspereza, A.; Savitskyi, M.; Saxena, P.; Schuetze, P.; Schwanenberger, C.; Shevchenko, R.; Singh, A.; Tholen, H.; Turkot, O.; Vagnerini, A.; Van Onsem, G. P.; Walsh, R.; Wen, Y.; Wichmann, K.; Wissing, C.; Zenaiev, O.; Aggleton, R.; Bein, S.; Benato, L.; Benecke, A.; Blobel, V.; Vignali, M. 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G.; Barone, L.; Cavallari, F.; Cipriani, M.; Daci, N.; Del Re, D.; Marco, Di; Diemoz, M.; Gelli, S.; Longo, E.; Marzocchi, B.; Meridiani, P.; Organtini, G.; Pandolfi, F.; Paramatti, R.; Preiato, F.; Rahatlou, S.; Rovelli, C.; Santanastasio, F.; Amapane, N.; Arcidiacono, R.; Argiro, S.; Arneodo, M.; Bartosik, N.; Bellan, R.; Biino, C.; Cartiglia, N.; Cenna, F.; Cometti, S.; Costa, M.; Covarelli, R.; Demaria, N.; Kiani, B.; Mariotti, C.; Maselli, S.; Migliore, E.; Monaco, V.; Monteil, E.; Monteno, M.; Obertino, M. M.; Pacher, L.; Pastrone, N.; Pelliccioni, M.; Angioni, G. L. Pinna; Romero, A.; Ruspa, M.; Sacchi, R.; Shchelina, K.; Sola, V.; Solano, A.; Soldi, D.; Staiano, A.; Belforte, S.; Candelise, V.; Casarsa, M.; Cossutti, F.; Della Ricca, G.; Vazzoler, F.; Zanetti, A.; Kim, D. H.; Kim, G. N.; Kim, M. S.; Lee, J.; Lee, S.; Lee, S. W.; Moon, C. S.; Oh, Y. D.; Sekmen, S.; Son, D. C.; Yang, Y. C.; Kim, H.; Moon, D. H.; Oh, G.; Goh, J.; Kim, T. 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Univ Haute Alsace, Mulhouse, France; Lomonosov Moscow State Univ, Skobeltsyn Inst Nucl Phys, Moscow, Russia; CERN, European Org Nucl Res, Geneva, Switzerland; Rhein Westfal TH Aachen, Phys Inst A 3, Aachen, Germany; Univ Hamburg, Hamburg, Germany; Brandenburg Tech Univ Cottbus, Cottbus, Germany; Eotvos Lorand Univ, MTA ELTE Lendulet CMS Particle & Nucl Phys Grp, Budapest, Hungary; Inst Nucl Res ATOMKI, Debrecen, Hungary; Univ Debrecen, Inst Phys, Debrecen, Hungary; IIT Bhubaneswar, Bhubaneswar, India; Inst Phys, Bhubaneswar, Odisha, India; Shoolini Univ, Solan, India; Univ Visva Bharati, Santini Ketan, W Bengal, India; Isfahan Univ Technol, Esfahan, Iran; Islamic Azad Univ, Sci & Res Branch, Plasma Phys Res Ctr, Tehran, Iran; Univ Siena, Siena, Italy; Kyung Hee Univ, Seoul, South Korea; Int Islamic Univ Malaysia, Kuala Lumpur, Malaysia; MOSTI, Malaysian Nucl Agcy, Kajang, Malaysia; Consejo Nacl Ciencia & Technol, Mexico City, DF, Mexico; Warsaw Univ Technol, Inst Elect Syst, Warsaw, Poland; 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Suarez, Rebeca/L-6128-2014; Melo da Costa, Eliza/AAX-2394-2021; Amapane, Nicola/HDN-9630-2022; Giammanco, Andrea/O-5017-2019; Hoh, Siewyan/AAM-9562-2021; De Filippis, Nicola/AAD-6280-2019; Al-bataineh, Ayman/AAK-1197-2021; zhao, jize/AAS-1102-2021; Gandrajula, Reddy/AFR-4403-2022; Sert, H/ABA-5645-2020; Fiori, Francesco/H-1454-2018; Focardi, Ettore/E-7376-2012; Nawrocki, Kamil/KUD-2505-2024; Norjoharuddeen, Nurfikri/S-3109-2018; , Luo/AAP-8401-2020; Ragazzi, Stefano/D-2463-2009; Gulmez, Erhan/P-9518-2015; Moscatelli, Francesco/N-6333-2014; Chadeeva, Marina/M-9644-2019; Bagliesi, Giuseppe/C-2230-2013; xu, lingzhi/JVZ-8748-2024; Agaras, Merve/AAB-5221-2021; Kaur, Manjit/MBF-0295-2025; Sarica, Ulascan/JXY-2829-2024; Sanchez, Federico/F-5809-2012; Mandal, Koushik/AAE-7930-2020; Cimmino, Anna/AAA-1673-2020; Mousa, Jehad/I-8019-2019; Ćirković, Predrag/G-8059-2012; Jeitler, Manfred/H-3106-2012; Cankocak, Kerem/A-1507-2018; Virto, Amparo/K-9996-2014; Sculac, Toni/AAE-4141-2019; Dubinin, Mikhail/I-3942-2016; Bernardes, Cesar Augusto/D-2408-2015; Zalewski, Piotr/H-7335-2013; KUMAR, ASHOK/AAB-8729-2019; candelise, vieri/H-2195-2015; Masciovecchio, Mario/IXD-8018-2023; Reis, Tomas/JHS-4868-2023; Wulz, Claudia-Elisabeth/H-5657-2011; Dremin, Igor/K-8053-2015; Chang, Yuan/AFO-2322-2022; Hildreth, Michael/LWK-8035-2024; KARA, Ozgun/MCY-5689-2025; Garg, Rocky/AAV-9845-2021; Kraetschmer, Ilse/LSK-3076-2024; Titov, Maxim/JAC-6742-2023; Aarrestad, Thea/GLV-3031-2022; Mohammadi Najafabadi, Mohammad/GLR-0213-2022; Li, Qiang/AGK-6990-2022; Lokhtin, Igor/D-7004-2012; KAYİS TOPAKSU, Aysel/B-8910-2018; Li, Ruixi/AAE-7585-2022; Fiorendi, Sara/ABA-3311-2021; Kadastik, Mario/B-7559-2008; Hobson, Peter/C-8919-2016; Gleyzer, Sergei/AAE-6726-2020; Elwood, Adam/GSN-1799-2022; Lista, Luca/M-2912-2019; Kodolova, Olga/IQV-0056-2023; KHAN, Masood/AAA-7384-2020; Kratschmer, Ilse/LSK-3076-2024; SIMSEK, Ali Eren/AFO-3050-2022; celik, Ali/K-6506-2019; Khurana, Raman/IUN-3205-2023; Josa, Isabel/K-5184-2014; Trocino, Daniele/AGI-2155-2022; Padula, Sandra/AAE-4304-2020; Govoni, Pietro/K-9619-2016; Parygin, Pavel/C-8908-2016; Barria, Patrizia/AAT-3894-2020; Mussgiller, Andreas/AAF-6933-2019; Matorras, Francisco/I-4983-2015; de Souza Sandro, Fonseca/ABB-8505-2020; Primavera, Federica/KUD-4067-2024; Lohan, Manisha/KVB-3511-2024; Sola, Valentina/E-7726-2015; Tsirou, Andromachi/HHC-6869-2022; Malik, Sudhir/D-6621-2018; li, bo/JJC-2664-2023; Marlow, Daniel/C-9132-2014; Krammer, Manfred/A-6508-2010; Amoroso, Simone/AAW-4334-2021; Fallavollita, Francesco/AAL-8850-2020; Zhou, Shiyuan/IYJ-7387-2023; Maravin, Yurii/N-9259-2018; Verdini, Piero/J-2839-2012; Delgado Peris, Antonio/AAA-5165-2019; Ruhlmann-Kleider, Vanina/AGJ-4460-2022; Kalsi, Amandeep Kaur/JNR-9607-2023; Marchesini, Ivan/G-7852-2018; Karancsi, János/A-9710-2013; Malbouisson, H./N-6733-2015; Leonardo, Nuno/M-6940-2016; Gregores, Eduardo/F-8702-2012; d'Enterria, David/W-7763-2019; Spagnolo, Paolo/G-3401-2017; Chen, Yang/KHD-8849-2024; Kirakosyan, Martin/N-2701-2015; Lander, Roddy/KQU-7736-2024; Leonidov, Andrey/P-3197-2014; Bourilkov, Dimitri/AAO-4908-2020; Pérez-Calero Yzquierdo, Antonio/F-2235-2013; Hill, Christopher/B-5371-2012; Rout, Prasanna/N-8012-2019; Padhi, Saswat/LTF-2060-2024; Zhang, Youyou/KCY-0810-2024; Hollar, Jonathan/KZU-8312-2024; Chernyavskaya, Nadezda/F-2161-2015; GURPINAR GULER, EMINE/V-2170-2018; Saoulidou, Niki/AAA-2891-2020; Gütay, Levent/C-5352-2009; Fouz Iglesias, Maria Cruz/AAF-1105-2019; Chang, Philip/AAN-3350-2021; Gonzalez Suarez, Rebeca/L-6128-2014; Mundim, Luiz/A-1291-2012; Piotrzkowski, Krzysztof/IST-1292-2023; Liu, huihui/HME-1734-2023; Menasce, Dario/A-2168-2016; Wang, Yifan/KDO-8319-2024; Singh, J B/IXD-2130-2023; Radics, Balint/AAN-2721-2020; Triossi, Andrea/K-2813-2017; Wang, Shaohui/HKO-6774-2023; Radogna, Raffaella/I-1033-2014; Mora Herrera, Clemencia/AAD-6466-2021; Gennai, Simone/P-2880-2015; Choudhury, Seema/LEM-7962-2024; Pavlov, Borislav/O-8491-2018; González-Calatrava, Isidro/S-4410-2018; Jafari, Abideh/JVP-2320-2024; Polatoz, Ayse/AAF-6722-2021; 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9334584700; 56681990200; 35285715700; 57208213093; 56681658600; 56706885300; 59277303900; 55351661500; 35227841000; 56655129600; 7406735899; 56923807800; 35228211100; 57199996144; 57220756034; 56248789400; 55146318300; 35277909500; 6603959547; 55862117400; 36639396500; 57218185439; 36606386500; 57218186930; 35227660900; 57218186227; 56572498400; 57218186899; 56448147800; 56502255300; 57203998855; 57195921702; 36170842400; 55439837900; 35221944800; 57211760478; 57190380598; 57219155525; 57190733978; 58072859300; 57326894500; 15075857400; 35227876700; 54973936100; 35227974000; 57326866900; 55286579600; 35225691000; 57219465629; 57220984699; 56967726700; 57202224055; 26027002800; 57219465641; 57219465489; 57219465287; 57195533667; 57219465255; 57201369427; 57219465605; 36087890100; 55340953200; 56681508800; 57203340367; 57219465598; 57219465246; 58846931600; 35221444900; 57203056538; 57223941230; 57199997522; 35227287600; 57194187146; 57218181532; 16245575400; 35227838400; 8135034700; 35216210700; 57199996532; 57193995091; 56681761900; 57199995207; 35226976800; 57201355284; 57201326914; 57202855809; 57202859632; 57204081939; 57202277169; 35227298700; 36660861400; 57207902314; 57203665352; 55210767800; 57203667105; 57202852316; 57204001272; 59140364000; 57219189942; 35313280300; 59140361600; 35227272400; 57188680295; 35227373700; 56437208100; 57189270386; 57204004071; 58632485800; 36170749800; 56446433400; 56437697200; 56448208700; 59395369400; 57764686200; 56501784000; 59395375000; 35356052000; 58632153800; 55286440200; 57219190462; 55286336800; 56893518800; 56681811000; 35227973900; 57220521234; 57205536163; 55350384900; 15755021800; 56973389300; 55225629800; 35227159700; 37048454000; 57043822800; 35227367700; 57202847289; 56800717400; 56681723400; 57204005081; 55795646500; 55203009000; 56352741400; 12758816400; 57217797874; 35221473300; 35227512400; 56681986300; 57205307086; 57199997802; 55095942200; 56682022400; 9276392600; 36171331300; 7101904491; 24376473600; 56682068800; 55134092500; 7005485775; 36170873500; 56924477700; 55603522400; 55496142400; 7102931559; 37051309800; 57220064097; 7004188390; 6701436560; 35274582500; 57202522373; 57219648360; 57220064080; 57220064314; 35227503800; 57220064375; 57220064223; 57220064351; 57220064259; 57220064396; 57203514331; 57199996011; 35222476000; 57206353679; 57194775056; 16226119300; 55951354400; 35356070900; 35227050000; 56681988200; 56414432900; 35271695700; 55868435500; 47960970300; 35308730700; 8984617000; 57189693933; 7006404363; 57210312265; 7201657574; 7003879901; 57210321748; 56681978600; 36123824900; 35227990900; 57193206437; 56648200300; 56181581800 | EUROPEAN PHYSICAL JOURNAL C | EUR PHYS J C | 1434-6044 | 1434-6052 | 80 | 3 | SCIE | PHYSICS, PARTICLES & FIELDS | 2020 | 4.59 | 25.9 | 3.15 | 2025-06-25 | 31 | 37 | PROTON-PROTON COLLISIONS; PP COLLISIONS; HIGGS-BOSON; ROOT-S=8 TEV; ALGORITHMS; LEPTONS | CMS; Diboson resonances; Physics; Substructure | Gravitation; Maximum likelihood; A-center; Analysis method; Center-of-mass energies; Centre-of-mass energies; CMS; Diboson resonance; Final state; Integrated luminosity; Multi dimensional; Substructure; Bosons | English | 2020 | 2020-03-12 | 10.1140/epjc/s10052-020-7773-5 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Approach to Transparent Photovoltaics Based on Wide Band Gap Sb2S3 Absorber Layers and Optics-Based Device Optimization | Numerous methods have been employed for utilizing inorganic thin films to improve the stability of transparent photovoltaics (TPVs). However, the use of these methods was restricted due to limitations involving restricted physical dimensions, complex fabrication processes, visible transparency, and photovoltaic performance. In this study, a novel approach to novel TPVs based on wide band gap inorganic thin-film solar cell devices was first proposed. This approach was based on an Sb2S3 thin-film absorber and the optical optimization of a planar-type solar cell device structure. High-quality and uniformly thick Sb2S3 thin films were deposited via atomic layer deposition (ALD) to produce a high-quality transparent absorber layer for a planar-type transparent thin-film solar cell. To maintain the light transmittance of ALD-Sb2S3 solar cell devices, a flat indium tin oxide (ITO) substrate, a low-temperature-processed ALD TiO2 electron-transport layer (ETL), and an ultrathin Au top electrode were systematically combined with the transparent ALD-Sb2S3 absorber layer. The transparent ALD-Sb2S3 solar cell device showed a power conversion efficiency of 3.44% and an average light transmittance of 13%. These results proposed the technological possibility of using novel inorganic transparent Sb2S3 solar cell devices for transparent applications, such as self-powered transparent displays, high-efficiency tandem solar cells, robust bifacial solar cells, and so on. | Lee, Sang-Ju; Sung, Shi-Joon; Yang, Kee-Jeong; Kang, Jin-Kyu; Kim, Jun Yong; Do, Yun Seon; Kim, Dae-Hwan | DGIST, Div Energy Technol, Daegu 42988, South Korea; Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | ; Kim, Jihyun/F-6940-2013; Kim, Dae/AAJ-7518-2021; Jin-Kyu, Kang/AAR-9096-2021; Sung, Shi-Joon/AAU-2464-2021 | 57207064878; 7202731923; 15763941100; 35096377300; 57209837877; 24338060500; 57778048600 | yuns.da@knu.ac.kr;monolith@dgist.ac.kr;yuns.do@knu.ac.kr; | ACS APPLIED ENERGY MATERIALS | ACS APPL ENERG MATER | 2574-0962 | 3 | 12 | SCIE | CHEMISTRY, PHYSICAL;ENERGY & FUELS;MATERIALS SCIENCE, MULTIDISCIPLINARY | 2020 | 6.024 | 25.9 | 1.29 | 2025-06-25 | 35 | 29 | transparent photovoltaics; antimony sulfide; ALD; thin films; optical properties | ALD; antimony sulfide; optical properties; thin films; transparent photovoltaics | Antimony compounds; Atomic layer deposition; Conversion efficiency; Display devices; Efficiency; Electron transport properties; Energy gap; Light; Oxide minerals; Sulfide minerals; Temperature; Thin film circuits; Thin films; Tin oxides; Titanium dioxide; Electron transport layers; Indium tin oxide substrates; Inorganic thin films; Photovoltaic performance; Power conversion efficiencies; Transparent displays; Transparent thin film; Visible transparencies; Thin film solar cells | English | 2020 | 2020-12-28 | 10.1021/acsaem.0c02552 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |||
| ○ | ○ | Article | Automatic reconstruction of deleted AVI video files composed of scattered and corrupted fragments | Video files of surveillance cameras frequently play a role of major evidence for criminals or accidents. But, if the video file containing the evidence is deleted, we need to recover it if possible. In this paper, we propose a recovery scheme for deleted video files with AVI format on FAT32 file system. The proposed scheme first recovers deleted video files from unallocated storage space exploiting both signatures of video frames and behaviours of file systems. The scheme finds fragments of deleted video files based on the start indicator of video frames or the file header signature, and connects the found fragments based on the file allocation patterns of FAT32 file system. Next, if a recovered video file is partially corrupted, the scheme automatically reconstructs the corrupted AVI video file so that the video file can be played back. The lost file header of the corrupted video file is reconstructed based on the file header of a reference video file, and the lost data multimedia data is filled with zero. Through practical implementation, we show that the proposed scheme recovers deleted video files from unallocated storage space and reconstructs corrupted AVI video files. | Lee, Wan Yeon; Kim, Kyong Hoon; Yang, Hyeim; Ko, Young Woong | Dongduk Womens Univ, Dept Comp Sci, Seoul 02748, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea; Hallym Univ, Dept Comp Sci & Engn, Chunchon 24252, South Korea | Kim, Honghyok/LDF-5356-2024 | 14024347300; 15065463500; 57218329017; 16233663600 | wanlee@dongduk.ac.kr; | MULTIMEDIA TOOLS AND APPLICATIONS | MULTIMED TOOLS APPL | 1380-7501 | 1573-7721 | 79 | 37-38 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, SOFTWARE ENGINEERING;COMPUTER SCIENCE, THEORY & METHODS;ENGINEERING, ELECTRICAL & ELECTRONIC | 2020 | 2.757 | 25.9 | 0.13 | 2025-06-25 | 2 | 2 | Automatic reconstruction; Scattered video fragments; Corrupted video; AVI format; FAT32 | LINUX FAT32 ALLOCATOR | Automatic reconstruction; AVI format; Corrupted video; FAT32; Scattered video fragments | Digital storage; File organization; Recovery; Security systems; Automatic reconstruction; FAT32 file systems; File allocation; File systems; Multimedia data; Recovery scheme; Storage spaces; Surveillance cameras; Image reconstruction | English | 2020 | 2020-10 | 10.1007/s11042-020-09404-5 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Automatic segmentation of liver & lesion detection using H-minima transform and connecting component labeling | Automatic segmentation of the liver and the Lesion detection can be a very challenging task due to its variability in size, shape, position and the presence of other organs with similar intensities. Manual segmentation and detection of a tumor is a time-consuming task and greatly depends upon the expertise and experience of the physician. We proposed a method which consists of automatic segmentation and detection of liver and lesion using CT scan modality. H-minima transform filter, Otsu global thresholds, Morphological opening by reconstruction and modified Connected Component Labeling algorithms are applied for liver segmentation. To keep the technique simple and effective, an appropriate range of threshold values are defined to detect different types of lesions. Performance of the proposed system is evaluated and compared with the state-of-the art algorithms. The results of the comparison show that the proposed approach is robust and efficient due to its simplicity. The dice coefficient score for the hepatic segmentation is 94% while sensitivity and specificity for hepatic lesion are 93% and 87% respectively. | Khan, Nazish; Ahmed, Imran; Kiran, Mahreen; Rehman, Hamoodur; Din, Sadia; Paul, Anand; Reddy, Alavalapati Goutham | Ctr Excellence Informat Technol, Inst Management Sci, Peshawar, Pakistan; Kyungpook Natl Univ, Sch Comp Sci & Engn, Korea, South Korea; Natl Inst Technol, Dept Comp Sci & Engn, Tadepalligudem, Andhra Pradesh, India | Ahmed, Imran/HDL-7255-2022; Kiran, Mahreen/HGC-9076-2022; Din, Sadia/ADU-4679-2022; Paul, Anand/V-6724-2017; ALAVALAPATI, GOUTHAM REDDY/AGN-0905-2022; Alavalapati, Goutham Reddy/AGN-0905-2022 | 57207688029; 58776130700; 57207685107; 57207909427; 57188997144; 56650522400; 57189311304 | diyanoor82@yahoo.com;imran.ahmed@imsciences.edu.pk;mehreen.kiran89@gmail.com;hamoodurrehman@imsciences.edu.pk;saadia.deen@gmail.com;paul.editor@gmail.com;goutham.ace@gmail.com; | MULTIMEDIA TOOLS AND APPLICATIONS | MULTIMED TOOLS APPL | 1380-7501 | 1573-7721 | 79 | 13-14 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, SOFTWARE ENGINEERING;COMPUTER SCIENCE, THEORY & METHODS;ENGINEERING, ELECTRICAL & ELECTRONIC | 2020 | 2.757 | 25.9 | 0.46 | 2025-06-25 | 7 | 7 | Liver; Lesion; Segmentation; Detection; H-minima transform; CCL; Automatic; Opening by reconstruction | CT; TOMOGRAPHY | Automatic; CCL; Detection; H-minima transform; Lesion; Liver; Opening by reconstruction; Segmentation | Error detection; Image segmentation; Liver; Automatic; Automatic segmentations; Connected component labeling algorithm; Lesion; Morphological opening; Sensitivity and specificity; State-of-the-art algorithms; Time-consuming tasks; Computerized tomography | English | 2020 | 2020-04 | 10.1007/s11042-019-7347-4 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Biomechanical stability of internal bone-level implant: Dependency on hex or non-hex structure | Considerable controversy surrounds the choice of the best abutment type for implant prosthetics. The two most common structures are hex and non-hex abutments. The non-hex abutment typically furnishes a larger contact area between itself and the implant than that provided by a hex structure. However, when a hex abutment is loaded, the position of its contact area may be deeper than that of a non-hex abutment. Hence, the purpose of this study is to determine the different biomechanical behaviors of an internal bone-level implant based on the abutment type-hex or non-hex-and clinical crown length under static and cyclic loadings using finite element analysis (FEA). The hex structure was found to increase the implant and abutment stability more than the non-hex structure among several criteria. The use of the hex structure resulted in a smaller volume of bone tissues being at risk of hypertrophy and fatigue failure. It also reduced micromovement (separation) between the implant components, which is significantly related to the pumping effect and possible inflammation. Both static and fatigue analyses, used to examine short- and long-term stability, demonstrated the advantages of the hex abutment over the non-hex type for the stability of the implant components. Moreover, although its impact was not as significant as that of the abutment type, a large crown-implant ratio (CIR) increased bone strain and stress in the implant components, particularly under oblique loading. | Lee, Hyeonjong; Park, Si-Myung; Noh, Kwantae; Ahn, Su-Jin; Shin, Sangkyun; Noh, Gunwoo | Pusan Natl Univ, Sch Dent, Dept Prosthodont, 49 Busandaehak Ro, Yangsan Si 50612, Gyeongsangnam D, South Korea; Korea Inst Sci & Technol, Ctr Med Robot, 5 Hwarang Ro,14 Gil, Seoul 02792, South Korea; Kyung Hee Univ, Dept Prosthodont, Sch Dent, 26 Kyungheedae Ro, Seoul 02447, South Korea; Kyung Hee Univ, Kyung Hee Univ Hosp Gangdong, Sch Dent, Dept Biomat & Prosthodont, 892 Dongnam Ro, Seoul 05278, South Korea; Kyungpook Natl Univ, Sch Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea | Noh, Kwantae/AAK-3492-2020; Lee, Hyeonjong/HDM-6492-2022 | 57190951278; 57192916912; 55041739400; 55145967600; 37054653900; 55010264000 | gunwoo@knu.ac.kr; | STRUCTURAL ENGINEERING AND MECHANICS | STRUCT ENG MECH | 1225-4568 | 1598-6217 | 74 | 4 | SCIE | ENGINEERING, CIVIL;ENGINEERING, MECHANICAL | 2020 | 3.524 | 25.9 | 0.44 | 2025-06-25 | 8 | 8 | finite element analysis; dental implant; abutment type; fatigue; micromovement | FINITE-ELEMENT-ANALYSIS; STRESS-DISTRIBUTION; ABUTMENT INTERFACE; FRACTURE STRENGTH; INCLUSION; FATIGUE; TISSUE | Abutment type; Dental implant; Fatigue; Finite element analysis; Micromovement | Biomechanics; Fatigue of materials; Pathology; Stability criteria; Stress analysis; Abutment stability; Biomechanical behavior; Biomechanical stability; Common structures; Fatigue analysis; Fatigue failures; Implant components; Long term stability; Abutments (bridge) | English | 2020 | 2020-05-25 | 10.12989/sem.2020.74.4.567 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Chemical bath synthesis of NiCo 2 O 4 nanoflowers with nanorods like thin film for flexible supercapacitor application -effect of urea concentration on structural conversion | Waghmode, R. B.; Maile, N. C.; Lee, D. S.; Torane, A. P. | Yashavantrao Chavan Inst Sci, Dept Phys, Solid State Phys Lab, Satara, India; Kyungpook Natl Univ, Dept Environm Engn, Daegu, South Korea | Maile, Nagesh/AFD-8838-2022 | 57140737300; 57193804539; 55568524907; 6603033209 | daesung@knu.ac.kr;appasahebtorane@yahoo.in; | ELECTROCHIMICA ACTA | ELECTROCHIM ACTA | 0013-4686 | 1873-3859 | 350 | SCIE | ELECTROCHEMISTRY | 2020 | 6.901 | 25.9 | 1.8 | 2025-06-25 | 44 | 46 | CARBON TEXTILES; NANOWIRE ARRAYS; STAINLESS-STEEL; PERFORMANCE; DEPOSITION; ELECTRODES; FOAM; NANOSTRUCTURES | Nickel-cobalt oxide; Polymer gel electrolyte; Symmetric-flexible supercapacitors | Capacitance; Deposition; Metabolism; Morphology; Nanorods; Polyvinyl alcohols; Potassium hydroxide; Solid electrolytes; Supercapacitor; Thin films; Urea; Chemical-bath deposition; Electronic conductivity; Gel electrolyte; Ionic diffusion; Power densities; Specific capacitance; Structural conversion; Supercapacitor application; Nanoflowers | English | 2020 | 2020-08-01 | 10.1016/j.electacta.2020.136413 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | ||||
| ○ | ○ | Article | Comparative analysis of segmentation techniques based on chest X-ray images | The image segmentation is the basic step in the image processing involved in the processing of medical images. Over the past two decades, medical image segmentation has remained a challenge for researchers while the use of this imaging modality is rapidly growing in research studies. This article surveys the techniques and their effect on chest X-ray images. The objective of this work is to study the key similarities and differences among the different published methods while highlighting their strengths and weaknesses on chest X-ray images. The reason is to assist the researchers in the choice of an appropriate lung segmentation methodology. We additionally give a complete portrayal of the existing few basic methods when combined with preprocessing method that can be utilized as a part of the segmentation. A discussion and fair analysis justified with experimental results along with quantitative correlation of the outcomes on 247 images of JSRT through Dice coefficient exhibited. | Kiran, Mehreen; Ahmed, Imran; Khan, Nazish; Rehman, Hamood Ur; Din, Sadia; Paul, Anand; Reddy, Alavalapati Goutham | Ctr Excellence Informat Technol, Inst Management Sci, Peshawar, Pakistan; Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu, South Korea; Natl Inst Technol, Dept Comp Sci & Engn, Tadepalligudem, Andhra Pradesh, India | Rehman, Hamood/JDC-7393-2023; Din, Sadia/ADU-4679-2022; ALAVALAPATI, GOUTHAM REDDY/AGN-0905-2022; Alavalapati, Goutham Reddy/AGN-0905-2022; Kiran, Mahreen/HGC-9076-2022; Ahmed, Imran/HDL-7255-2022; Paul, Anand/V-6724-2017 | 57207685107; 58776130700; 57207688029; 57205131706; 57188997144; 56650522400; 57189311304 | mehreen.kiran89@gmail.com;imran.ahmed@imseiences.edu.pk;diyanoor82@yahoomail.com;hamoodurrehman@imsciences.edu.pk;saadia.deen@gmail.com;paul.editor@gmail.com;goutham.ace@gmail.com; | MULTIMEDIA TOOLS AND APPLICATIONS | MULTIMED TOOLS APPL | 1380-7501 | 1573-7721 | 79 | 13-14 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, SOFTWARE ENGINEERING;COMPUTER SCIENCE, THEORY & METHODS;ENGINEERING, ELECTRICAL & ELECTRONIC | 2020 | 2.757 | 25.9 | 0 | 2025-06-25 | 1 | 2 | Chest radiography; Survey; Computer-aided diagnosis; Codes; executable; Commands; Lung region extraction; Segmentation | MEANS CLUSTERING-ALGORITHM; CONTRAST ENHANCEMENT; K-MEANS; HISTOGRAM EQUALIZATION | Chest radiography; Codes; Commands; Computer-aided diagnosis; executable; Lung region extraction; Segmentation; Survey | Biological organs; Computer aided diagnosis; Image analysis; Image segmentation; Surveying; Surveys; X ray radiography; Chest radiography; Codes; Commands; executable; Lung regions; Medical image processing | English | 2020 | 2020-04 | 10.1007/s11042-019-7348-3 | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Convolutional neural network based early fire detection | The detection of manmade disasters particularly fire is valuable because it causes many damages in terms of human lives. Research on fire detection using wireless sensor network and video-based methods is a very hot research topic. However, the WSN based detection model need fire happens and a lot of smoke and fire for detection. Similarly, video-based models also have some drawbacks because conventional algorithms need feature vectors and high rule-based models for detection. In this paper, we proposed a fire detection method which is based on powerful machine learning and deep learning algorithms. We used both sensors data as well as images data for fire prevention. Our proposed model has three main deep neural networks i.e. a hybrid model which consists of Adaboost and many MLP neural networks, Adaboost-LBP model and finally convolutional neural network. We used Adaboost-MLP model to predict the fire. After the prediction, we proposed two neural networks i.e. Adaboost-LBP model and convolutional neural network for detection of fire using the videos and images taken from the cameras installed for the surveillance. Adaboost-LBP model is to generate the ROIs from the image where emergencies exist Our proposed model results are quite good, and the accuracy is almost 99%. The false alarming rate is very low and can be reduced more using further training. | Saeed, Faisal; Paul, Anand; Karthigaikumar, P.; Nayyar, Anand | Kyungpook Natl Univ, 80 Daehak Ro, Daegu, South Korea; Kyungpook Natl Univ, Sch Comp Sci & Engn, 80 Daehak Ro, Daegu, South Korea; Anna Univ, Chennai 600025, Tamil Nadu, India; Duy Tan Univ, Grad Sch, Da Nang, Vietnam | Nayyar, Anand/F-3732-2015; Saeed, Faisal/HNT-0710-2023; Nayyar, Dr. Anand/F-3732-2015; Paul, Anand/V-6724-2017; Palanivel, Karthigaikumar/AAR-5414-2020 | 58165089300; 56650522400; 16637341800; 55201442200 | bscsfaisal821@gmail.com;paul.editor@gmail.com;p.karthigaikumar@gmail.com;anandnayyar@duytan.edu.vn; | MULTIMEDIA TOOLS AND APPLICATIONS | MULTIMED TOOLS APPL | 1380-7501 | 1573-7721 | 79 | 13-14 | SCIE | COMPUTER SCIENCE, INFORMATION SYSTEMS;COMPUTER SCIENCE, SOFTWARE ENGINEERING;COMPUTER SCIENCE, THEORY & METHODS;ENGINEERING, ELECTRICAL & ELECTRONIC | 2020 | 2.757 | 25.9 | 3.61 | 2025-06-25 | 76 | 92 | Fire; Machine learning; Adaboost-MLP; Adaboost-LBP; Convolutional Neural Network | FLAME DETECTION; IMAGE; ALGORITHM; COLOR | Adaboost-LBP; Adaboost-MLP; Convolutional Neural Network; Fire; Machine learning | Adaptive boosting; Convolution; Damage detection; Deep neural networks; Fire detectors; Fireproofing; Fires; Learning systems; Machine learning; Neural networks; Security systems; Smoke; Conventional algorithms; Convolutional neural network; Fire-detection method; Further trainings; Hot research topics; Man-made disasters; MLP neural networks; Rule-based models; Wireless sensor networks | English | 2020 | 2020-04 | 10.1007/s11042-019-07785-w | 바로가기 | 바로가기 | 바로가기 | 바로가기 | |
| ○ | ○ | Article | Designing of nanoflakes anchored nanotubes-like MnCo2S4/halloysite composites for advanced battery like supercapacitor application | In this study, we report a facile chemical synthesis of a novel MnCo2S4/halloysite (HNTs) nanoflakes decorated on nanotubes which coated on Ni foam via a screen-printing technique. The MnCo2S4 thin films were prepared using a coprecipitation method which demonstrate battery kind of behavior. The MnCo2S4/HNTs-based electrode shows a specific capacity of 359 mAh g(-1) at 5 mV s(-1) with excellent cycling stability. Furthermore, the symmetric system exhibits an outstanding energy density and power density of 6.98 Wh kg(-1) and 1976.0 W kg(-1), respectively. The results obtained with the MnCo2S4/HNTs composite in a symmetric system indicate that this composite material can potentially be used as an alternative electrode material for electrochemical energy storage. (C) 2020 Elsevier Ltd. All rights reserved. | Shinde, S. K.; Ghodake, G. S.; Maile, N. C.; Yadav, H. M.; Jagadale, A. D.; Jalak, M. B.; Kadam, A. A.; Ramesh, Sivalingam; Bathula, C.; Kim, D-Y | Dongguk Univ, Coll Life Sci & Biotechnol, Dept Biol & Environm Sci, 32 Dongguk Ro,Biomed Campus, Goyang Si 10326, Gyeonggi Do, South Korea; Kyungpook Natl Univ, Dept Environm Engn, 80 Daehak Ro, Daegu 41566, South Korea; Dongguk Univ, Dept Energy & Mat Engn, Seoul 04620, South Korea; SASTRA Deemed Univ, Sch Elect & Elect Engn, Ctr Energy Storage & Convers, Thanjavur 613401, Tamil Nadu, India; Shivaji Univ, Dept Phys, Kolhapur 416004, Maharashtra, India; Dongguk Univ, Res Inst Biotechnol & Med Converged Sci, Biomed Campus, Goyang Si 10326, Gyeonggi Do, South Korea; Dongguk Univ, Dept Mech Robot & Energy Engn, Seoul 04620, South Korea; Dongguk Univ Seoul, Div Elect & Elect Engn, Seoul 04620, South Korea | Kadam, Avinash/G-5992-2016; Jagadale, Ajay/O-5253-2014; Kadam, Avinash Ashok/G-5992-2016; Maile, Nagesh/AFD-8838-2022 | 55776351000; 22979024500; 57193804539; 55389590800; 44161199800; 57203877390; 56267499300; 57280606300; 36993734300; 55742887400 | sbpkim@dongguk.edu; | ELECTROCHIMICA ACTA | ELECTROCHIM ACTA | 0013-4686 | 1873-3859 | 341 | SCIE | ELECTROCHEMISTRY | 2020 | 6.901 | 25.9 | 2.2 | 2025-06-25 | 41 | 42 | MnCo2S4/HNTs composite; Coprecipitation; Screen printing method; Nanotubes; Symmetric electrode | HALLOYSITE NANOTUBES; ELECTROCHEMICAL PERFORMANCE; HYDROTHERMAL CARBONIZATION; EFFICIENT ELECTROCATALYST; NIS NANOPARTICLES; COUNTER ELECTRODE; NANOSTRUCTURES; MNCO2S4; NANOSHEETS; GRAPHENE | Coprecipitation; MnCo<sub>2</sub>S<sub>4</sub>/HNTs composite; Nanotubes; Screen printing method; Symmetric electrode | Coprecipitation; Electrochemical electrodes; Nanotubes; Screen printing; Secondary batteries; Supercapacitor; Coprecipitation method; Electrochemical energy storage; Electrode material; Screen printing methods; Screen printing technique; Specific capacities; Supercapacitor application; Symmetric systems; Manganese compounds | English | 2020 | 2020-05-01 | 10.1016/j.electacta.2020.135973 | 바로가기 | 바로가기 | 바로가기 | 바로가기 |
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