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2023 Vol.14, Issue 4 Preview Page

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30 December 2023. pp. 519-533
S.B. Ogoma, S.J. Moore, and M.F. Maia, A systematic review of mosquito coils and passive emanators: Defining recommendations for spatial repellency testing methodologies. Parasites and Vectors. 5(1) (2012), pp. 1-10. DOI: 10.1186/ 1756-3305-5-287. 10.1186/1756-3305-5-28723216844PMC3549831
A. Joshi and C. Miller, Review of machine learning techniques for mosquito control in urban environments. Ecol. Inform. 61 (2021). DOI: 10.1016/j.ecoinf.2021.101241. 10.1016/j.ecoinf.2021.101241
I. Choi and H. Kim, Reducing Energy Consumption and Health Hazards of Electric Liquid Mosquito Repellents through TinyML. Sensors. 22(17) (2022). DOI: 10.3390/s22176421. 10.3390/s2217642136080880PMC9460490
A. Mishra, S. Kim, and N.S. Rajput, An Efficient Sensory System for Intelligent Gas Monitoring Accurate classification and precise quantification of gases/ odors. Proc. - Int. SoC Des. Conf. ISOCC 2020, pp. 338-339, Oct. 2020, DOI: 10.1109/ ISOCC50952.2020.9332957. 10.1109/ISOCC50952.2020.9332957
S.N. Chaudhri, N. Singh Rajput, and A. Mishra, A novel principal component-based virtual sensor approach for efficient classification of gases/ odors. J. Electr. Eng. 73 (2022), pp. 108-115. DOI: 10.2478/jee-2022-0014. 10.2478/jee-2022-0014
N.S. Rajput, R.R. Das, V.N. Mishra, K.P. Singh, and R. Dwivedi, A fully neural implementation of unitary response model for classification of gases/odors using the responses of thick film gas sensor array. Sensors Actuators, B Chem. 155(2) (2011), pp. 759-767. DOI: 10.1016/j.snb.2011.01.043. 10.1016/j.snb.2011.01.043
W. Liu, J. Zhang, J.H. Hashim, J. Jalaludin, Z. Hashim, and B.D. Goldstein, Mosquito coil emissions and health implications. Environ. Health Perspect. 111(12) (2003), pp. 1454-1460. DOI: 10.1289/EHP.6286. 10.1289/ehp.628612948883PMC1241646
P.S. Sodhi, N. Rawat, and U. Saxena, Low Cost Herbal Mosquito Repellent Using Arm Based Device. 2018 7th Int. Conf. Reliab. Infocom Technol. Optim. Trends Futur. Dir. ICRITO 2018, (2018), pp. 545-550. DOI: 10.1109/ICRITO.2018. 8748840. 10.1109/ICRITO.2018.8748840
S.S. Saini, D. Bansal, G.S. Brar, and E. Sidhu, Solar energy driven Arduino based smart mosquito repeller system. Proc. 2016 IEEE Int. Conf. Wirel. Commun. Signal Process. Networking, WiSPNET 2016. (2016), pp. 1239-1243. DOI: 10.1109/WiSPNET.2016.7566334. 10.1109/WiSPNET.2016.7566334
M. Exner, S. Bhattacharya, J. Gebel, P. Goroncy-Bermes, P. Hartemann, P. Heeg, C. Ilschner, A. Kramer, M.L. Ling, W. Merkens, and P. Oltmanns, Chemical disinfection in healthcare settings: critical aspects for the development of global strategies. GMS Hygiene and Infection Control. 15 (2020). DOI: 10.3205/dgkh000371. Availableat: https://www.
S.A. Sattar, O. Adegbunrin, and J. Ramirez, Combined application of simulated reuse and quantitative carrier tests to assess high-level disinfection: Experiments with an accelerated hydrogen peroxide-based formulation. Am. J. Infect. Control. 30(8) (2002), pp. 449-457. DOI: 10.1067/MIC. 2002.126428. 10.1067/mic.2002.12642812461509
D. Kumar and N.S. Rajput, Air Pollution in mining Industries has very adverse effects on Human Health, Flora, and Fauna, and proper assessment is needed around the mining areas. Int. J. Eng. Technol. Manag. Sci. 6(5) (2022), pp. 734-741. DOI: 10.46647/ijetms.2022.v06i05.114. 10.46647/ijetms.2022.v06i05.114
A. Mishra and N.S. Rajput, A novel modular ANN architecture for efficient monitoring of gases/ odours in real-time. Materials Research Express. 5(4) (2018). DOI: 10.1088/2053-1591/aabe09. 10.1088/2053-1591/aabe09
R.A. Rosenthal, S.V.W. Sutton, and B.A. Schlech, Review of Standard for Evaluating the Effectiveness of Contact Lens Disinfectants. PDA J Pharm Sci Technol. 56(1) (2002). pp. 37-50.
V.A. Binson, M.M. George, M.A. Sibichan, M. Raj, and K. Prasad, Freshness Evaluation of Beef using MOS Based E-Nose. IDCIoT 2023 - Int. Conf. Intell. Data Commun. Technol. Internet Things, Proc., no. IDCIoT 2023. (2023), pp. 792-797. DOI: 10.1109/IDCIoT56793.2023.10053399. 10.1109/IDCIoT56793.2023.10053399
Y. Jia, S. Fan, Z. Li, and K. Xia, A Fast Detection Method of Turbulent Gases Based on Gated Recurrent Unit and Attention Mechanism. IEEE Sens. J. 23(6) (2023), pp. 5974-5987. DOI: 10.1109/JSEN.2023.3239753. 10.1109/JSEN.2023.3239753
H. Onen, M.M. Luzala, S. Kigozi, R.M. Sikumbili, C.J.K. Muanga, E.N. Zola, S.N. Wendji, A.B. Buya, A. Balciunaitiene, J. Viškelis, M.A. Kaddumukasa, and P.B. Memvanga, Mosquito-Borne Diseases and Their Control Strategies: An Overview Focused on Green Synthesized Plant-Based Metallic Nanoparticles. Insects. 14(3) (2023). DOI: 10.3390/ insects14030221. 10.3390/insects1403022136975906PMC10059804
A. Mishra, N.S. Rajput, and D. Singh, Performance evaluation of normalized difference based classifier for efficient discrimination of volatile organic compounds. Mater. Res. Express. 5(9) (2018). DOI: 10.1088/2053-1591/aad3dd. 10.1088/2053-1591/aad3dd
N. Musee, L. Lorenzen, and C. Aldrich, New methodology for hazardous waste classification using fuzzy set theory: Part I. Knowledge acquisition. J. Hazard. Mater. 154(1-3) (2008), pp. 1040-1051. DOI: 10.1016/J.JHAZMAT.2007.11.011. 10.1016/j.jhazmat.2007.11.01118082951
R. Kim, S. Tae, and H. Lim, Greenhouse gas emission analysis for each material composition of a cement reactive siloxane polymer-based penetration resist agent. Int. J. Sustain. Build. Technol. Urban Dev. 10(3) (2019), pp. 167-175. DOI: 10.22712/susb.20190017.
Y. Jo, E. Jeong, S. Lee, and C. Oh, A novel methodology to monitor passenger mobility performance in urban subway stations. Int. J. Sustain. Build. Technol. Urban Dev. 12(2) (2021), pp. 186-203. DOI: 10.22712/susb.20210015.
H. Kim, S. Tae, and Y. Ahn, A study on the environmental impact prediction method of bridge life cycle maintenance using bridge maintenance database. Int. J. Sustain. Build. Technol. Urban Dev. 10(4) (2019), pp. 194-204. DOI: 10.22712/ susb.20190021.
S. Kumar, Sahil, and S.K. Sood, Internet of Things Smart vehicular traffic management: An edge cloud centric IoT based framework. Internet of Things. 14 (2021), 100140. DOI: 10.1016/j.iot. 2019.100140. 10.1016/j.iot.2019.100140
E. Efeoğlu and G. Tuna, The Use of Microwave and K* Algorithm in Determination of Alcohol Concentration in Liquids. Russ. J. Nondestruct. Test. 56(8) (2020), pp. 689-697. DOI: 10.1134/ S1061830920080033. 10.1134/S1061830920080033PMC7590582
A. Atasoy, U. Ozsandikcioglu, and S. Guney, Fish freshness testing with Artificial Neural Networks; Fish freshness testing with Artificial Neural Networks. International Conference on Electrical and Electronics Engineering, ELECO. (2015). DOI: 10.1109/ELECO.2015.7394629. 10.1109/ELECO.2015.7394629
W. Zheng, H. Men, Y. Shi, Y. Ying, J. Liu, and Q. Liu, An Olfactory-Taste Synesthesia Model Combined With Electronic Nose and Electronic Tongue to Identify Flavor Substances. IEEE Sens. J. 22(15) (2022), pp. 15199-15210. DOI: 10.1109/ JSEN.2022.3185452. 10.1109/JSEN.2022.3185452
D. Kumar, S.N. Chaudhri, and N.S. Rajput, A Machine Learning-Based Disinfectant Type, Concentration, and Usage Monitoring System for Real-World Scenarios. 2023 Int. Conf. IoT, Commun. Autom. Technol. (2023), pp. 1-6. DOI: 10.1109/ICICAT57735.2023.10263659. 10.1109/ICICAT57735.2023.10263659
S. Sadeghifard, M. Anjomshoa, and E. Esfandiari, A new embedded E-nose system in smoke detection. 2011 1st Int. eConference Comput. Knowl. Eng. ICCKE 2011. (2011). pp. 18-21. DOI: 10. 1109/ICCKE.2011.6413317. 10.1109/ICCKE.2011.6413317
L.V. Shum, P. Rajalakshmi, A. Afonja, G. McPhillips, R. Binions, L. Cheng, S. Hailes, On the development of a sensor module for real-time pollution monitoring. 2011 Int. Conf. Inf. Sci. Appl. ICISA 2011. (2011). DOI: 10.1109/ICISA.2011.5772355. 10.1109/ICISA.2011.5772355
P. Narkhede, R. Walambe, P. Chandel, S. Mandaokar, and K. Kotecha, MultimodalGasData: Multimodal Dataset for Gas Detection and Classification. Data. 7(8) (2022). pp. 1-8. DOI: 10.3390/data7080112. 10.3390/data7080112
A. Verma, D. Kumar, V.N. Mishra, and R. Prakash, A Self-Assembled Polymer Nanocomposite-Based Low-Voltage White Light Phototransistor With UV-Cured Synthesized LaZrOx Dielectric. IEEE Trans. Electron Devices. (2023), pp. 1-7. DOI: 10.1109/TED.2023.3274500. 10.1109/TED.2023.3274500
A. Mishra, N.S. Rajput, and G. Han, NDSRT: An Efficient Virtual Multi-Sensor Response Transformation for Classification of Gases/Odors. IEEE Sens. J. 17(11) (2017), pp. 3416-3421. DOI: 10. 1109/JSEN.2017.2690536. 10.1109/JSEN.2017.2690536
A. Mishra and S.K. Gupta, Intelligent Classification of Coal Seams Using Spontaneous Combustion Susceptibility in IoT Paradigm. International Journal of Coal Preparation and Utilization. (2023), pp.1-23. DOI:
R. Kim, S. Roh, and H. Kim, Investigation of relationship between carbon emission and building energy performance index for carbon neutrality. Int. J. Sustain. Build. Technol. Urban Dev. 14(3) (2023), pp. 426-433.
D. Kumar, A. Mishra, S.N. Chaudhri, and N.S. Rajput, Intelligent Monitoring of Disinfectants. In: IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges: IOT, Data Science and Artificial Intelligence Technologies, pp. 379-391. Cham: Springer International Publishing, 2023. 10.1007/978-3-031-35783-1_22
A. Mishra, J. Cha, and S. Kim, Single Neuron for Solving XOR like Nonlinear Problems. Computational Intelligence and Neuroscience. (2022). DOI: 10.1155/2022/909786835652062PMC9148856
A. Mishra, J. Cha, and S. Kim, Privacy-Preserved In-Cabin Monitoring System for Autonomous Vehicles. Computational Intelligence and Neuroscience. (2022). DOI:
A. Mishra, J. Kim, J. Cha, D. Kim, and S. Kim, Authorized traffic controller hand gesture recognition for situation-aware autonomous driving. Sensors. 21(23) (2021), 7914. DOI:
V. Butram, A. Mishra, and A. Naugarhiya, A lead-free spiral bimorph piezoelectric mems energy harvester for enhanced power density. IETE Technical Review. 38(5) (2020), pp.537-546. DOI: 10.1080/02564602.2020.1799876
Y.S. Chang, H.T. Chiao, S. Abimannan, Y.P. Huang, Y.T. Tsai, and K.M. Lin, An LSTM-based aggregated model for air pollution forecasting. Atmos. Pollut. Res. 11(8) (2020), pp. 1451-1463. DOI: 10.1016/J.APR.2020.05.015. 10.1016/j.apr.2020.05.015
D. Kumar, S.N. Chaudhri, and N.S. Rajput, Air Quality Prediction and Monitoring Using Machine Learning-Based Forecasting Approach. 2023 Int. Conf. IoT, Commun. Autom. Technol. (2023), pp. 1-6. DOI: 10.1109/ICICAT57735.2023.10263594. 10.1109/ICICAT57735.2023.10263594
  • Publisher :Sustainable Building Research Center (ERC) Innovative Durable Building and Infrastructure Research Center
  • Publisher(Ko) :건설구조물 내구성혁신 연구센터
  • Journal Title :International Journal of Sustainable Building Technology and Urban Development
  • Volume : 14
  • No :4
  • Pages :519-533
  • Received Date : 2023-11-01
  • Accepted Date : 2023-11-28
Journal Informaiton International Journal of Sustainable Building Technology and Urban Development International Journal of Sustainable Building Technology and Urban Development
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