iosr-JECE   Volume-19 ~ Issue-6 ~ Nov. - Dec. 2024

Abstract: The huge cost and high labor demand associated with the current deep litter system of poultry farming poses a great challenge to poultry farming. These drawbacks which currently threatens this system of farming, have been attributed to the over-involvement of humans in almost all aspects of operation of this farming system. The consequences are increased disease outbreak, weakness and poor bird feeding. To ameliorated some of these challenges, an automated poultry feeding system is developed and presented in this paper. The proposed system mimics the.......

Keyword: Automated Feeding System; Poultry Farm; Microcontroller; Arduino Uno

[1] M. Barcho, Organizational And Economic Aspects Of Technical And Technological Modernization Of The Poultry Farming, In Iop Conference Series: Earth And Environmental Science, Iop Publishing, Vol. 395, Pp. 012113, 2019.
[2] O.M. Olaniyi, A.F. Salami, O.O. Adewumi, O.S. Ajibola, Design Of An Intelligent Poultry Feed And Water Dispensing System Using Fuzzy Logic Control Technique, Control Theory And Informatics, Vol. 4, No. 9, Pp.61–72, 2014.
[3] O. Adedinsewo, Design And Construction Of A Computer-Controlled Poultry Feed Dispenser And Temperature Regulator. B. Tech. Phd Thesis, Thesis, Department Of Computer Science And Engineering, Ladoke Akintola. 2004.
[4] O.T. Arulogun, O.A. Fakolujo, O.M. Olaniyi, D.O. Fenwa,D.O, A.B. Olaniyan, Development Of Mobile Intelligent Poultry Feed Dispensing System, Journal Of Engineering And Applied Sciences, Vol. 5, No. 3, Pp. 229 – 233, 2010.
[5] A. Grothmann, F. Nydegger, C. Moritz, C. Carlo Bisaglia, Automatic Feeding Systems For Dairy Cattle-Potential For Optimization In Dairy Farming. In International Conference On Agricultural Engineering: Towards Environmental Technologies, 2010.

Abstract: With the continuous development of radio and aviation technology, the research on Flying Ad-hoc Networks (FANET) has become the hotspot. FANET is a distributed network composed of multiple Unmanned Aerial Vehicles (UAVs) in a self-organized form, which has great potential for application in both military and civil fields. Different application scenarios have different requirements for FANET channel resource allocation. To facilitate future in-depth research on FANET, a comprehensive investigation into FANET routing protocols and related knowledge.......

Keyword: FANET, UAVs, routing protocol, OLSR, distributed network

[1] Wang Z, Yao H, Mai T, Et Al. Learning To Routing In Uav Swarm Network: A Multi-Agent Reinforcement Learning Approach. Ieee Transactions On Vehicular Technology. 2023; 72(5): 6611-6624.
[2] Chowdhury S, Emelogu A, Marufuzzaman M, Et Al. Drones For Disaster Response And Relief Operations: A Continuous Approximation Model. International Journal Of Production Economics. 2017; 188: 167-184.
[3] Gans Nr, Rogers Jg. Cooperative Multirobot Systems For Military Applications. Current Robotics Reports. 2021; 2(1): 105-111.
[4] Hayat S, Yanmaz E, Muzaffar R. Survey On Unmanned Aerial Vehicle Networks For Civil Applications: A Communications Viewpoint. Ieee Communications Surveys & Tutorials. 2016; 18(4): 2624-2661.
[5] De Freitas Ep, Heimfarth T, Netto If, Et Al. Uav Relay Network To Support Wsn Connectivity. In: International Congress On Ultra Modern Telecommunications And Control Systems, 18-20 October 2010. Moscow, Russia: Ieee; 2010. P.309-314.

Abstract: This paper presents an ESP32-based Home Automation System designed for efficient management of household components, enhancing convenience, safety, and resource optimization. The system integrates various sensors and devices, including relay-controlled bulbs and fans, motion-sensor lights, and automated nightlights. Environmental monitoring is achieved via a DHT22 sensor for temperature and humidity, and MQ2/MQ135 sensors for gas detection, promoting real-time safety alerts. For smart gardening, a soil moisture sensor coupled with a submersible......

Keyword: ESP32; Home Automation; Smart Home; Environmental Monitoring; Mobile Application Control; Wi-Fi Connectivity; Real-time Monitoring

[1]. Akhil, R. K., Shobana, G., & Sreeja, K. R. (2019). Internet Of Things Based Smart Home Automation System Using ESP32. Journal Of Engineering Science And Technology, 14(6), 3251-3261.
[2]. Alaa A. Mohammed, Rania A. Alsadi, & Moaz A. Khatib. (2020). A Smart Home Automation System Based On The Internet Of Things. International Journal Of Computer Applications, 975, 8887.
[3]. El-Wazir, A., & El-Shafee, M. (2021). Design And Implementation Of A Smart Home Automation System Using ESP32 Microcontroller And MQTT Protocol. International Journal Of Computer Science And Network Security, 21(7), 80-89.
[4]. Khan, F., & Qureshi, M. I. (2021). Smart Home Automation Using ESP32 And Iot Technology. International Journal Of Advanced Research In Computer Engineering & Technology, 10(5), 25-30.
[5]. Sharma, R., & Kumari, R. (2020). Iot-Based Smart Home Automation System. International Journal Of Computer Applications, 975, 8889.

Abstract: In this digital world automation is most effective and essential in all aspects. Getting and maintaining classroom attendance for every hour in a day at school or college by calling names and marking on book is very hectic and time-consuming, there are some chances of proxy attendance. There are many automated human identification techniques such as biometrics, RFID, voice recognition still those techniques some issues systems are vulnerable to proxies. But we are implementing the multiple face recognition technique to get all candidate in single or multiple frames to get attendance conformation.......

Keyword: Face Recognition; Face Detection; Haar-Cascade classifier; Local Binary Pattern histogram; Principal Component Analysis.

[1] M. Karunakar, C. A. Sai, K. Chandra And K. A. Kumar, "Smart Attendance Monitoring System (Sams): A Face Recognition Based Attendance System For Classroom Environment," International Journal For Recent Developments In Science And Technology, Vol. 4, No. 5, Pp. 194-201, 2020.
[2] S. Bhattacharya, G. S. Nainala, P. Das And A. Routray, "Smart Attendance Monitoring System (Sams): A Face Recognition Based Attendance System For Classroom Environmen," In 2018 Ieee 18th International Conference On Advanced Learning Technologies (Icalt), 2018.
[3] Face Detection With Haar Cascade,Towards Data Science - 727f68dafd08,Girija Shankar Behera, India, Dec 24, 2020.[Online]. Available: Https://Towardsdatascience.Com/Face-Detectionwith-Haar-Cascade-727f68dafd08.
[4] Face Recognition: Understanding Lbph Algorithm, Towards Data Science 90ec258c3d6b, Kelvin Salton Do Prado, Nov 11, 2017. [Online].Available :Https://Towardsdatascience.Com/Face-Recognition-How-Lbph-Works-90ec258c3d6b.
[5] To Set Up A Google Forms Attendance System: [Online].Available: Https://Www.Geeksforgeeks.Org/How-To-Set-Up-A-Google-Forms-Attendance-System.
[6] Face Recognition In Python; [Online]. Available Https://Www.Javatpoint.Com/Face-Recognition-In-Python.

Abstract: Information should be shared effectively and securely to protect users' personal identifiable information. Using a chatbot, or a computer application to share information presents a likelihood of identity theft if not properly secured. In communicating with chatbots, the user's information is held in the chatbot application database. The availability of user information on this application may give opportunity to attackers to hijack personal user information to perpetrate crime. Unfortunately, current chatbot applications do not have a mechanism to delete or remove.......

Keyword: Personal Identifiable Information; chatbot; identity theft; decision system

[1] Daga, S. S., Ahmed, U. And Kumawat, R. K. (2021). Forensic Tools And Techniques Of Absolute Human Identification: Physical And Molecular Approach. Journal Of Forensic Sciences And Criminal Investigation, Volume 15, Issue 3. Doi: 10.19080/Jfsci.2021.15.555913
[2] David, R., John G., John R., (2018). The Digitization Of The World From Edge To Core. Https://Www.Seagate.Com/Files/Www-Content/Our-Story/Trends/Files/Idc-Seagate-Dataage-Whitepaper.Pdf
[3] Doherty, L. And Braithwaite, S. (2023). Italy Blocks Chatgpt Over Privacy Concerns. Https://Edition.Cnn.Com/2023/03/31/Tech/Chatgpt-Blocked-Italy/Index.Html
[4] Dong-Min P., Seong-Soo J., And Yeong-Seok S. (2022). Systematic Review On Chatbot Techniques And Applications. Journal Of Information Processing Systems, Vol.18, No.1, Pp.26~47, February 2022 Issn 1976-913x (Print) Https://Doi.Org/10.3745/Jips.04.0232
[5] Hasal, M. Et Al. (2021). Chatbots: Security, Privacy, Data Protection, And Social Aspects. Https://Onlinelibrary.Wiley.Com/Doi/10.1002/Cpe.6426.