{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T19:01:43Z","timestamp":1766516503507,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030673680"},{"type":"electronic","value":"9783030673697"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-67369-7_1","type":"book-chapter","created":{"date-parts":[[2021,1,30]],"date-time":"2021-01-30T06:02:49Z","timestamp":1611986569000},"page":"3-15","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An IoT-Based Non-invasive Diabetics Monitoring System for Crucial Conditions"],"prefix":"10.1007","author":[{"given":"Hermon","family":"Yehdego","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Safa","family":"Otoum","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Omar","family":"Alfandi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,31]]},"reference":[{"key":"1_CR1","unstructured":"W.H. Organization.: Diabetes (2019). https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/diabetes"},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Balan, V., et al.: Vibrational spectroscopy fingerprinting in medicine: from molecular to clinical practice (2019)","DOI":"10.3390\/ma12182884"},{"key":"1_CR3","first-page":"22","volume":"7","author":"MA Boatemaa","year":"2017","unstructured":"Boatemaa, M.A., Doss, S.: Non-invasive glucose estimation based on near infrared laser diode spectroscopy. Asian J. Biomed. Pharm. Sci. 7, 22\u201327 (2017)","journal-title":"Asian J. Biomed. Pharm. Sci."},{"key":"1_CR4","doi-asserted-by":"crossref","unstructured":"\u00d6berg, P.\u00c5., Togawa, T., Spelman, F.A.: Sensors in Medicine and Health Care. Wiley Online Library, Hoboken (2004)","DOI":"10.1002\/3527601414"},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Otoum, S., Ahmed, M., Mouftah, H.T.: Sensor medium access control (SMAC)-based epilepsy patients monitoring system. In: 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1109\u20131114 (2015)","DOI":"10.1109\/CCECE.2015.7129429"},{"issue":"12","key":"1_CR6","doi-asserted-by":"publisher","first-page":"4307","DOI":"10.3390\/s18124307","volume":"18","author":"S Oueida","year":"2018","unstructured":"Oueida, S., Kotb, Y., Aloqaily, M., Jararweh, Y., Baker, T.: An edge computing based smart healthcare framework for resource management. Sensors 18(12), 4307 (2018)","journal-title":"Sensors"},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Oueida, S., Aloqaily, M., Ionescu, S.: A smart healthcare reward model for resource allocation in smart city. Multimed. Tools Appl. 78(17), 24 573\u201324 594 (2019)","DOI":"10.1007\/s11042-018-6647-4"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Otoum, S., Kantarci, B., Mouftah, H.: Adaptively supervised and intrusion-aware data aggregation for wireless sensor clusters in critical infrastructures. In: IEEE International Conference on Communications (ICC), pp. 1\u20136 (2018)","DOI":"10.1109\/ICC.2018.8422401"},{"key":"1_CR9","unstructured":"Otoum, Y., Liu, D., Nayak, A.: Dl-IDS: a deep learning-based intrusion detection framework for securing IOT. Trans. Emerg. Telecommun. Technol. n\/a(n\/a), e3803, e3803 ett.3803. https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/ett.3803"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Elayan, H., Shubair, R.M., Kiourti, A.: Wireless sensors for medical applications: current status and future challenges. In: 2017 11th European Conference on Antennas and Propagation (EUCAP), pp. 2478\u20132482 (2017)","DOI":"10.23919\/EuCAP.2017.7928405"},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"Verma, V.K., Gupta, P., Jha, A.V., Barbhuiya, P.N.: Recent trends in wireless sensors for medical applications. In: International Conference on Communication and Signal Processing (ICCSP), vol. 2017, pp. 1588\u20131592 (2017)","DOI":"10.1109\/ICCSP.2017.8286656"},{"key":"1_CR12","unstructured":"Yang, J.-J., et al.: Emerging information technologies for enhanced healthcare. Comput. Ind. 69, 3\u201311 (2015). special Issue: Information Technologies for Enhanced Healthcare. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0166361515000226"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Parihar, M., Lawand, K., Patil, S.: Design and development of infrared led based non invasive glucometer, April 2014","DOI":"10.1109\/INDICON.2015.7443487"},{"key":"1_CR14","doi-asserted-by":"crossref","unstructured":"Sarkar, K., Ahmad, D., Singha, S., Ahmad, M.: Design and implementation of a noninvasive blood glucose monitoring device, vol. 12, pp. 1\u20135 (2018)","DOI":"10.1109\/ICCITECHN.2018.8631942"},{"key":"1_CR15","doi-asserted-by":"crossref","unstructured":"Narayanan, S., Sivagnanam, R., Smrithisri, V.K., Bai, T.: Smartphone based non-invasive glucose monitoring, pp. 119\u2013123 (2019)","DOI":"10.14445\/22315381\/IJETT-V67I3P223"},{"key":"1_CR16","unstructured":"Prawiroredjo, K., Julian, E., Tjahjadi, G.: Infrared-based glucose level measurement, February 2019"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Lawand, K., Parihar, M., Patil, S.N.: Design and development of infrared led based non invasive blood glucometer. In: Annual IEEE India Conference (INDICON), pp. 1\u20136 (2015)","DOI":"10.1109\/INDICON.2015.7443487"},{"key":"1_CR18","doi-asserted-by":"crossref","unstructured":"Wardana, H., Indahwati, E., Fitriyah, L.: Measurement of non-invasive blood glucose level based sensor color tcs3200 and Arduino. In: IOP Conference Series: Materials Science and Engineering, vol. 336, p. 012019, April 2018","DOI":"10.1088\/1757-899X\/336\/1\/012019"},{"key":"1_CR19","unstructured":"Mahzan, N.N., Enzai, N.I.M., Zin, N.M., Noh, K.S.S.K.M.: Design of an Arduino-based home fire alarm system with GSM module. J. Phys. Conf. Ser. 1019, 012079 (2018). https:\/\/doi.org\/10.1088"},{"key":"1_CR20","doi-asserted-by":"crossref","unstructured":"Prabha, C., Sunitha, R., Anitha, R.: Automatic vehicle accident detection and messaging system using GSM and GPS modem. Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 3, 10 723\u201310 727 (2014)","DOI":"10.15662\/ijareeie.2014.0307062"},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"Srabanti, S., et al.: A proposed system for automatic vehicle monitoring and accident detection in Bangladesh, February 2018","DOI":"10.1109\/IC4ME2.2018.8465610"},{"key":"1_CR22","doi-asserted-by":"crossref","unstructured":"Fizzah, B., Munam, A.S., Carsten, M., Islam, S.U.: A novel internet of things-enabled accident detection and reporting system for smart city environments. Sensors 19 (2019). https:\/\/doi.org\/10.3390\/s19092071","DOI":"10.3390\/s19092071"},{"key":"1_CR23","doi-asserted-by":"crossref","unstructured":"Allen, E.J., Sabines-Chesterking, J., Birchall, P.M., McMillan, A., Joshi, S.K., Matthews, J.C.F.: Quantum sensing of absorbance and the beer-lambert law. In: 2019 Conference on Lasers and Electro-Optics Europe European Quantum Electronics Conference (CLEO\/Europe-EQEC), p. 1 (2019)","DOI":"10.1109\/CLEOE-EQEC.2019.8872681"},{"key":"1_CR24","doi-asserted-by":"crossref","unstructured":"Ressom, H., et al.: Neural network based light attenuation model for monitoring Seagrass health. In: 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), vol. 3, pp. 2489\u20132493 (2004)","DOI":"10.1109\/IJCNN.2004.1381022"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Ad Hoc Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-67369-7_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T07:11:54Z","timestamp":1724397114000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-67369-7_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030673680","9783030673697"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-67369-7_1","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"31 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADHOCNETS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Ad Hoc Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paris","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adhocnets2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/adhocnets.eai-conferences.org\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conference was held virtually due to COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}