iosr-JCE   Volume-26 ~ Issue-1 ~ Jan. - Feb. 2024

Abstract: A fire is a catastrophe that can result in the loss of life, property damage, and the victim's lasting disability. When a fire occurrence, we are compelled to employ human resources, which are not safe, to rescue people and put out the fire. This proposed work focused on developing a robotic system capable of moving to areas where firemen have to risk their lives to put off the fire. In this research, we created a prototype robot using Arduino UNO that identify and extinguishes fires freestanding. The water pump and servo motor are activated after detecting the fire by flame sensor. The capacity to detect fire sites automatically and extinguish fire remotely at a distance of 30 cm from the fire. The robot is designed to locate fires and spray water into them in order to decrease the amount of destruction..

Keywords: Arduino Uno, IoT, Microcontroller, IR flame sensor, Servo motor

[1]. Sanusi Mohammed, Adamu Shehu, Shuaibu Sanda Hussaini, Abubakar Usman Rumba, "The Design, Implementation And Performance Analysis Of A Smart Fire Fighting Robot", Abubakar Tatari Ali Polytechnic, Bauchi State, Nigeria, International Journal Of Scientific And Academic Research (Ijsar), Issn: 2583-0279, Volume 3, Issue 5, May– 2023.
[2]. Patel Mohd. Rehan Adilshah, Sarvesh Rajiv Kukde, Ussaid Faiyyaz Shaikh,Jagdish Bhalchandra Choudhari, "Autonomous Fire Fighting Robot Using Arduino", International Journal Of Research In Engineering, Science And Management, Volume 5, Issue 4, April 2022.
[3]. Anam Sheikh, Gopal Purohit, Vaishnavi.C.Raut, Rehan Rashid Abdul, Prof. C. H. Kidile, "Review Paper On Arduino Based Fire Fighting Robot" , International Journal For Research In Applied Science & Engineering Technology (Ijraset), Issn: 2321-9653; Ic Value: 45.98; Sj Impact Factor: 7.538, Volume 10 Issue V May 2022.
[4]. Md Abdullah Al Rakib, Md. Moklesur Rahman, Md Shamsul Alam Anik, Fayez Ahmed Jahangir Masud, Md Ashiqur Rahman, Md Saddam Hossain, And Fysol Ibna Abbas, "Fire Detection And Water Discharge Activity For Fire Fighting Robots Using Iot", European Journal Of Engineering And Technology Research, Issn: 2736-576x, Vol 7 | Issue 2 | April 2022.
[5]. Bangladesh Fire: Nearly 50 Killed, Hundreds Injured In Depot Blast, 5 June 2022.
Https://Www.Bbc.Com/News/World-Asia-61693778.

Abstract: Criminal investigation is the process of answering questions as to if how, where, when, why, and by whom a crime was committed. Over the years after a case has been filed, the investigation starts immediately at the place of crime that took place with the evidence and the eye witness if there is any. With the eye witness statement, the Police start to investigate the crime. Police officers have to go through series of investigations even from the scene before detecting the suspect and this process sometimes takes months or even takes one year. Also there is no platform that predicts the occurrence of the same crime and likely criminals in a particular period.....

Keywords: Criminal, Investigation, Suspect, Machine Learning, Prediction

[1]. Aqbal, Y.F., Huang, H., And Ma, L.H. (2017). Ak-Modes: Aweighted Clustering Algorithm For Finding Similar Casesubsets. 2010 Ieee International Conference Onintelligent Systems And Knowledge Engineering, Hangzhou, China, Pp. 218-223. Https://Doi.Org/10.1109/Iske.2010.5680876[4]
[2]. Bagus, J.Y., Nasridinov, A., And Park, Y.H. (2020). Internetof Things For Smart Crime Detection. Contemporaryengineering Sciences, 7(15): 749-754.Http://Dx.Doi.Org/10.12988/Ces.2014.4685[45]
[3]. Benjamin, S., And Leitners, P. (2016). An Analysis Of Datamining Applications In Crime Domain. 2008 Ieee 8th International Conference On Computer And Informationtechnology Workshops, Sydney, Qld, Australia, Pp.122-126. Https://Doi.Org/10.1109/Cit.2008.Workshops.80[39]
[4]. Bring, P., Maggio, R., And Ferrara, C., (2019) "Not Necessarily Buried Bodies: Forensic Gpr Investigations From Criminal To Civil Justice" 2015 8th International Workshop On Advanced Ground Penetrating Radar.
[5]. Deshimukh, P., (2020). A Revised Frequent Pattern Model For Crime Situation Recognition Based On Floor-Ceil Quartile Function. Procediacomputer Science, 55: 251-260.Https://Doi.Org/10.1016/J.Procs.2015.07.042[15]

Abstract: Satellite data takes up digital space, as data acquired from satellites needs a place where it can be stored and processed. For satellite image processing also, this digital storage space comes with a cost. Data from satellitesgettingacquired are over 10TB per day at NRSC andfrom various ground stations across the globe, which equates to tens of millions of images. As the latest existing satellites and upcoming satellites to be launched are of high data rates, processing the large voluminous data being received from these satellites will require high computing power to process the data in real-time. Servers with multi-processors, large memory and direct attached storage are an option.....

Keywords: Api, Cpu, Datacenter, Gpu,Ram.

[1]. Guide To Data Center Monitoring,Www.Packetpower.Com/Guide-To-Data-Center- Monitoring.
[2]. Data Center Energy Optimization With Kyndryl Data Center Advisor.
[3]. Imgeos Project Report, Nrscdpa-Imgeos-April09-Tr64, April 2009.
[4]. Wei-Hua Bai,1,2jian-Qing Xi,1jia-Xian Zhu,2and Shao-Wei Huang2"Performance Analysis Of Heterogeneous Data Centers In Cloud Computing Using A Complex Quering Model. Research Article, Open Access Volume 2015 , Article Id 980945.
[5]. Shahramtehraniana, Yongshengzhaoa,, Tony Harveya, Anandswaroopa, Keith Mckenzieb "A Robust Framework For Real-Time Distributed Processing Of Satellite Data" Received 19 January 2005; Received In Revised Form 3 August 2005; Accepted 14 December 2005.

Abstract: Deep learning is a part of machine learning that allows an algorithm to understand patterns with high accuracy based on very large data through various types of complex variables, DNN (Deep Neural Network) is one of the techniques that can be used to process these data. DNN (Deep Neural Network) is a neural network-based algorithm used in decision making. In addition, DNN is a method that can solve classification problems, but the classification performance with ordinary deep neural networks is still relatively slow in some cases, so a method is needed that can improve data classification. One optimization technique is the use of adaptive learning rate technique. Adaptive Learning Rate is an approach or method that aims to increase the efficiency of the learning rate parameter....

Key Word: Deep Learning, Deep Neural Network, Adaptive Learning Rate, RMSProp

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[5]. Ermawati, "Analisis Accelerated Learning Pada Algoritma Menggunakan Adaptive Learning Rate. Tesis. Universitas Sumatera Utara.".

Abstract: Identifying palm fruits has been one of the most essential portion of intelligent palm plantation management. Consequently, it is crucial to develop an identification algorithm that is effective, precise, simple to enlarge combined numerical approaches. The current study proposes a strategy based on the most recent deep learning algorithm to identify palm fruit rapidly and precisely in a complicated orchard condition. Here, a monocular camera was used to extract the deep characteristics of palm fruits using the YOLOv5 neural network algorithm, leading to.......

Key Word: Palm identification; Orchard habitat; Deep learning, YOLOv5

[1] Zhang P, Guo Z, Ullah S, Melagraki G, Afantitis A, Lynch I. Nanotechnology And Artificial Intelligence To Enable Sustainable And Precision Agriculture. Nat. Plants. 2021;7(7):864–876.
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Abstract: The study employed knowledge of microservices and existing strategies and tools for database migration. The migration framework incorporated microservices based on the microservice architecture, characterized by small and autonomous services. The database migration strategy served as a blueprint and guide in designing the entire migration framework for the process. Each Database Migration from a source Database Management System to a destination Database management system is treated as a microservice. A combination of smaller services was designed to work cohesively together and achieve the overall objective. Using the understanding of a detailed literature....

Key Word: Database, Microservice, Migration, Architecture, Migration Strategy,Database Management System

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[4]. Jia T, Zhao X, Wang Z, Gong D, Ding G. Model Transformation And Data Migration From Relational Database To Mongodb. Proceedings - 2016 Ieee International Congress On Big Data, Bigdata Congress 2016. 2016 Oct 5;60–7.
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