http://ijaers.com/ Open Access international Journal to publish research paper en-us August The internet of things framework has seen a rapid change in terms of the applications and users worldwide. However, the need for trustworthiness to satisfactory quality of service is of utmost importance keeping in mind the nature of data transfer in wireless media. The advent of high compute power processors with miniature sizes and low power consumption, implementing relatively complex algorithms has become possible which is necessity for internet of things applications. This research paper focusses on the design and implementation of the code blocks of turbo codes based on the BCJR algorithm so as to couple the bits in the code blocks in the composite transport block. The information and parity bits are to be coupled so as to have more information sharing within the transport block and hence reduce the error rate steeply in section of the error waterfall. The proposed technique attains lower bit error rate performance compared to the conventional un-coded and hard coded counterparts. A comparative analysis with respect to the error rate has been done so as to evaluate the quality of service of the proposed work. The lower error rate of the proposed work ensures the high quality of service and trustworthiness of the IoT system. http://ijaers.com/detail/a-partially-coupled-turbo-code-design-for-error-detection-and-correction-in-iot-networks/ Raman Singh Ahirwal, Amit Marmat http://ijaers.com/uploads/issue_files/1IJAERS-07202416-APartially.pdf With the progress of fire monitoring and Coping technique, image recognition based on deep learning has shown great potential in the field of fire detection. Aiming at the accuracy and efficiency problems existing in the existing object detection algorithms, this study proposed an improved YOLOv8 algorithm to improve the real-time recognition capability in the fire scene. Through experimental verification on standard fire data sets, this study evaluated the detection performance of the improved YOLOV8 algorithm fused with Deformable Conv. The experimental results show that the improved YOLOv8 has improved the fire identification accuracy compared with the traditional version, and has certain potential for practical application in fire monitoring system. http://ijaers.com/detail/fire-detection-algorithm-based-on-the-fusion-of-yolov8-and-deformable-conv-dcn/ Lin Po Shang, Yan Zuo Chang, Yi Chen, Yong Shan Ou http://ijaers.com/uploads/issue_files/2IJAERS-0820246-Firedetection.pdf The use of high speed in the wire drawing process become very common because of increase in customer demands and production rate. In this work the effect of high speed drawing (30m/sec) on mechanical and technological properties of high carbon steel wire has been investigated. Wire rod 5.50mm from steel grade 0.45% carbon and 0.56% carbon were drawn to 1.35mm in 13 draws and two speeds 10m/sec and 30m/sec. After each draw the following properties were determined; tensile strength (Ts), temperature (T), number of twists (Nt), number of bends (Nb). A large drop in the number of has been observed for final wires because of increased draw speed. However, there is also an advantage as the wire surface is much smoother after drawing at high speed than at low speed. The results were practically and statistically estimated. http://ijaers.com/detail/change-in-torsion-and-strength-of-wires/ Prakash Gawali, Amit Kumar Kundu http://ijaers.com/uploads/issue_files/3IJAERS-0820241-Change.pdf This paper designs an intelligent self-propelled sprinkler car with Arduino UNOR3 as the control board. The vehicle is equipped with an ATmega328P single chip microcomputer, sensor expansion board, L298N motor drive module, infrared tracking sensor, infrared obstacle avoidance sensor, sprinkler module, and power module, and also equipped with a speed measurement code disk. C code written by Arduino IDE software is used to control the car, so as to realize tracking cruise and infrared obstacle avoidance functions. The car system can cruise according to the black route set in advance on the flower base, and control the car through the C code written by Arduino IDE software, so as to realize the tracking cruise and infrared obstacle avoidance functions. This design realizes the self-walking water spraying function on this theoretical basis. http://ijaers.com/detail/development-of-intelligent-self-propelled-sprinkler-car-based-on-single-chip-computer/ Jian-Ting Lai, Yan-Zuo Chang, Ruo-Yu Yang, Jin-Ping Chen, Man-Lin Zheng http://ijaers.com/uploads/issue_files/4IJAERS-0820247-Development.pdf This paper uses the theory of Heat Exchangers to estimate the relationship between the outlet and the inlet and is written in conjunction with Fluent to simulate the impact of the air conditioning system on the environment in the car. The outside environment also affects the inside of the car, and this paper experiments to obtain outlet environment data and set it as the boundary conditions. The thermal comfort index in this paper will use experimental parameters to compute the results and analyze the results of the data to address people's requirements for the quality of the driving environment and provide a better driving environment. http://ijaers.com/detail/air-conditioning-design-for-comfort-impact-on-the-human-body-in-small-vehicles/ Jin-Ping Chen, Yan-Zuo Chang, Ruo-Yu Yang, Jian-Ting Lai, Pei-Xin Wu http://ijaers.com/uploads/issue_files/5IJAERS-0820248-AirConditioning.pdf This research establishes forecasting models for air-conditioning noise through training-type neural networks, which can improve the accuracy of the forecast, reduce costs and time, optimize system design and improvement, improve user experience and reduce environmental impact. This study uses Matlab to build training neural networks and uses the Levenberg-Marquardt. The results showed that the neural networks built by the training methods and the data and model combination were excellent. Therefore, the neural network to establish the model for the forecast of air conditioning noise has a significant effect for future air conditioner companies in the research and improvement of the noise. http://ijaers.com/detail/research-on-noise-mode-prediction-of-air-conditioner-based-on-training-neural-network-method/ Ruo-Yu Yang, Yan-Zuo Chang, Jin-Ping Chen, Jian-Ting Lai, Ren-Jia Qin http://ijaers.com/uploads/issue_files/6IJAERS-08202413-Research.pdf