Research ArticleOpen accessIn the keywordsDsPIC Based Power Assisted Steering Using Brushless Direct Current MotorG. R.P. Lakshmi, S. ParamasivamThis study illustrates the Electrically Assisted power Steering (EAS) using BLDC motor for a vehicle. Earlier the Electrically Assisted power Steering (EAS) was implemented with DSP. This study shows the usage of a dsPIC to control the BLDC motor with an encoder. The BLDC motor here is driven by dsPIC through a three phase inverter system. IRAMS type of inverter … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 26 Sep 2013 · 6,751 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStill Image Compression Using Texture and Non Texture Prediction ModelG. Mohanbaabu, P. RenugaProblem statement: Existing lossless image compression schemes attempt to do prediction in an image data using their Local Binary Pattern (LBP) and their spatial neighborhood based techniques. In the previous techniques such as Vector Quantization (VQ) and Gradient Adjusted Prediction (GAP) the texture and non-texture regions are not classified separately. Texture and Non-texture images prophecy has been a key factor … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 11 Feb 2012 · 7,303 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIndirect Kalman Filter in Mobile Robot ApplicationSurachai PanichProblem statement: The most successful applications of Kalman filtering are to linearize about some nominal trajectory in state space that does not depend on the measurement data. The resulting filter is usually referred to as simply a linearized Kalman filter. Approach: This study introduced mainly indirect Kalman filter to estimate robot’s position. A developed differential encoder system integrated accelerometer is … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,385 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Combinational Circuits for Control PurposesMaher A. Nabulsi, Mohammed A.F. Al-HusainyProblem statement: Combinational circuits are used in computers for generating binary control decisions and for providing digital components for data processing. Approach: The use of combinational circuits and logic gates to control other circuits was discussed. Different systems that use logic gates, multiplexers, decoders and encoders to control different circuits were presented. This study presented a design and implementation of … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 7,237 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHindi Poetry Translation Using Neural Machine TranslationPragya Tewari, Anurag Singh BaghelNeural Machine Translation (NMT) has become an essential tool in Natural Language Processing (NLP), enabling the automatic translation of text across languages. However, translating poetry remains a relatively unexplored and complex task. Unlike general text, poetry carries multiple layers of meaning, emotion, rhythm, and cultural nuance, making it difficult to capture in another language through standard translation techniques. This study … …Journal of Computer Science, Vol. 22, Issue 1 · 16 Feb 2026 · 1,773 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel High-Speed 54⨯54 bit MultiplierPouya Asadi, Keivan NaviA new 54⨯54-bit multiplier using high-speed carry-lookahead adder has been fabricated by CMOS technology. This paper presents a self-timed carry-lookahead adder in which the logic complexity was a linear function of n, the number of inputs, and the average computation time was proportional to the logarithm of the logarithm of n. To the best of our knowledge, our adder has … …American Journal of Applied Sciences, Vol. 4, Issue 9 · 30 Sep 2007 · 7,083 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancing Digital Forgery Detection: A Comparative Analysis of U-Net, Buster Net, Efficient B0+ U-Net, and VGG 16+ U-Net ModelsPreeti Dhiman, Usha ChauhanForgery Detection in the area of digital images is indispensable for insuring authenticity, particularly in detecting Copy-Move, Splicing. In this research, a meticulous analysis of latest learning architectures i.e. U-Net, Buster Net, Efficient B0+U-Net and VGG16+U-Net are compared for the detecting these types of forgeries. U-Net is popular due to its potent segmentation capabilities to provide pixel-level forgery localization while … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 383 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnimal Health Prediction Using Hybrid CNN Based BiLSTM Classification Model: A Deep Learning ApproachJ. Rathi, A. SumathiAccurate prediction of animal diseases is vital in veterinary medicine, as it can substantially enhance animal health outcomes and mitigate economic losses, making it a critical task that warrants attention and innovative solutions. This paper proposes a novel approach to animal condition classification, leveraging an Auto-encoder-based feature selection process and an Improved Hybrid Convolutional Neural Networks (CNN) with Bidirectional (Bi-LSTM) … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,481 accessesView PDFCite