طريقة تشغيل زمن الكشف منخفض الطاقة (LPDTO) للكشف عن النوم والكحول المعتمد على القيادة الأكثر أمانًا

المؤلفون

  • Mohamed Khudhair Al-Gburi Information Networks Department, College of Information Technology, University of Babylon, Hillah, Iraq https://orcid.org/0009-0006-1092-1585
  • Ameer Sameer Hamood Mohammed Ali Presidency of the University of Babylon, University of Babylon TOEFL Center, Babylon, Iraq https://orcid.org/0000-0002-2549-8373

DOI:

https://doi.org/10.31272/jeasd.2950

الكلمات المفتاحية:

الكشف عن النوم، واكتشاف الكحول، وإنترنت الأشياء، وتكنولوجيا السلامة، والشبكة اللاسلكية

الملخص

يقلل الكحول من مستوى اليقظة والوعي والتنسيق الذي يحتاجه السائق للقيادة بأمان. رؤية السائق المخمور تكون ضبابية أو حتى مزدوجة، مما يؤدي إلى العديد من المشاكل. تقدم هذه الورقة تطوير خوارزمية للكشف عن النوم والكحول تعتمد على إنترنت الأشياء، وتُعرف باسم طريقة تشغيل زمن الكشف منخفض الطاقة (LPDTO)، تهدف إلى تعزيز سلامة الطرق من خلال منع الحوادث الناتجة عن القيادة تحت تأثير الكحول. تدمج الطريقة المقترحة مستشعرات متقدمة لمراقبة استهلاك السائق للكحول وعلامات النعاس في الوقت الحقيقي. باستخدام متحكم دقيق، يقوم النظام بتحديد حدود معينة لمستوى الكحول في الدم (BAC)، مما يؤدي إلى إصدار تنبيهات وإيقاف تشغيل المركبة عند تجاوز هذه الحدود. بالإضافة إلى ذلك، يستخدم تقنية التعرف على الوجه لتقييم تعب السائق من خلال تحليل أنماط حركة العين وتعبيرات الوجه. أظهرت النتائج أن خوارزمية LPDTO المقترحة قللت من متوسط زمن استجابة الكشف الكلي إلى 16.242 مللي ثانية، ومتوسط زمن استجابة التنبيه إلى 12.93 مللي ثانية، ودقة الكشف عن النوم بلغت 98.66%. كما ساهمت في تقليل حوادث الطرق المتعلقة بالقيادة تحت تأثير الكحول من خلال تقليل الحوادث التي تحدث في شوارع المدينة المزدحمة من خلال الكشف المبكر عن النعاس والكحول لدى السائقين، وتعزز أيضًا من مساءلة السائقين من خلال توفير سجل قابل للتتبع لسلوكهم

السير الشخصية للمؤلفين

Mohamed Khudhair Al-Gburi، Information Networks Department, College of Information Technology, University of Babylon, Hillah, Iraq

Organization identifiers RINGGOLD: 125654 University of Babylon: Hillah, Babylon, IQ Other organization identifiers provided by RINGGOLD ISNI: 0000000404177786

Ameer Sameer Hamood Mohammed Ali، Presidency of the University of Babylon, University of Babylon TOEFL Center, Babylon, Iraq

A. Hamood Born in Babylon, Iraq, on 06/01/1991. He is a dedicated and accomplished professional with a Master of Information Technology from University of Babylon, Babylon, Hilla/Iraq, 2018. He is an Assist Lecturer at University of Babylon's, Faculty of Information Technology, Department of Information Networks. He is member of PEARSON VUE Technical IT Administrator and Member of IEEE. Publications are Keywords Sensitivity Recognition of Military Applications in Secure CRNs Environments, Cognitive radio network security status and challenges in IEEE journal. He developed a robust understanding of network architecture, artificial intelligence, data communication, cybersecurity, Cognitive Radio Networks specialist, Internet of Things, Software Defined Network, Wireless Sensor Network, Information and Communication Technology, Network Security, Cryptography, Machine and deep Learning.

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التنزيلات

Key Dates

الإستلام

2024-08-23

النسخة النهائية

2026-10-18

الموافقة

2026-10-24

النشر الالكتروني

2026-10-26

منشور

2026-11-01

كيفية الاقتباس

Al-Gburi, M. K. ., & Ali, A. S. H. M. . (2026). طريقة تشغيل زمن الكشف منخفض الطاقة (LPDTO) للكشف عن النوم والكحول المعتمد على القيادة الأكثر أمانًا. مجلة الهندسة والتنمية المستدامة, 30(6), 885-897. https://doi.org/10.31272/jeasd.2950

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