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38 results for “Error Reduction”
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Research ArticleOpen accessPhrase in the titleA New Methodology for Neural Network Training Ensures Error Reduction in Time Series ForecastingPaola A. Sánchez-Sánchez, José Rafael García-GonzálezArtificial Neural Networks (ANN) consists of some components, such as architecture and learning algorithm. These components have a significant effect on the performance of the ANN, but finding good parameters is a difficult task to achieve. An important requirement for this task is to ensure the reduction of error when inputs and/or hidden neurons are added. In practice, it is … …Journal of Computer Science, Vol. 13, Issue 7 · 4 Jul 2017 · 7,171 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Channel Estimation Technique for Complexity Reduction of Least Minimum Mean Square ErrorHany Mohamed El-Ansary, Hussein Ghouz, Ashraf Mamdouh Aziz, Gamal MabroukChannel estimation technique is to predict the frequency response of the radio channel using pilot signal. Channel estimation technique is important part of LTE receiver design. Such technique is used to recover the transmitted signal correctly and to know how the channel conditions are changed over frequency and time. Each channel estimator has a specified complexity computed according to its … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 6,999 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPAPR Reduction Using BPSO/PTS and STBC in MIMO OFDM SystemKarima El Mouhib, Ahmed Oquour, Younes Jabrane et al.Problem statement: The Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) system has been receiving a great attention, as one of solutions for achieving high speed, efficient and high-quality service for the wireless communications. However, the transmitted signal still has high PAPR because of OFDM characteristics. Many methods have been proposed to solve this problem, but the most … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,189 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMorphing Mechanisms Part 2: Using Repetitive Control to Morph Cam Follower MotionNonglak Phetkong, Meng-Sang Chew, Richard W. LongmanThis research utilizes the repetitive control approach in morphing a high-speed cam mechanism so that its output displacement tracks the desired output trajectory. The main objective is to reduce the output tracking error, which is the difference between the actual and desired output displacements of the output mass. A 3-degree of freedom mathematical model is used to analyze and represent … …American Journal of Applied Sciences, Vol. 2, Issue 5 · 31 May 2005 · 7,369 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMorphing Mechanisms Part 1: Using Iterative Learning Control to Morph Cam Follower MotionNonglak Phetkong, Meng-Sang Chew, Richard W. LongmanThis study introduces the concept of morphing mechanisms. Mechanisms are normally designed for specific operating conditions and once they are built one may wish to use them under different operating conditions. In some cases, a mechanism may be imperfectly fabricated and one would like to get the intended ideal performance. In these cases, instead of designing, fabricating and replacing the … …American Journal of Applied Sciences, Vol. 2, Issue 5 · 31 May 2005 · 6,837 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI-Integrated Probabilistic Optimization for Inventory Control Under Stochastic DemandJanardan BeheraThe identification and operationalization of increasingly nonstationary and volatile demand patterns challenge the conduct of inventory management in contemporary supply chains. The classical models, especially EOQ and static policies, rest on the stability of demand assumptions, either deterministically or distributionally, and are hence less apt under real-world uncertainty. In view of these limitations, the present study puts forward an integrated … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 6 May 2026 · 2,217 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Analytics and Procurement Visibility: A Big-Data-Driven Approach to Customer Satisfaction in Supply Chain ManagementDevendra Nath Pathak, Rakesh Kumar Yadav, Hitendra SinghIn the current dynamic and consumer driven market environment, supply chains need to move out of reactive to the proactive ecosystems. One of the most urgent requirements is increasing procurement visibility and the development of better order planning for the inventory to meet the products’ demand with continued high customer satisfaction. This paper is an agenda of big-data-driven predictive analytics … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractError Identification and Mitigation Analysis Method Using HFACS on VR HMDNkingo June Thomas, Yan SuHuman error has long been recognized as a key factor influencing safety, performance, and efficiency in complex tasks, including those involving advanced technologies. In the context of Virtual Reality (VR) Head-Mounted Displays (HMDs), which are increasingly applied in fields such as aviation maintenance, the presence of human errors can compromise both user experience and operational reliability. This paper presents a … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 24 Nov 2025 · 2,937 accessesView PDFCite
Review ArticleOpen accessIn the abstractEfficient and Secure Record-Keeping: A Review of Smart Contract-Based Student Marks Management Systems in UniversitiesRima Anant Patel, Dharmendra PatelBlockchain stores the transaction sequentially in the form of linked blocks. The decentralized and distributed nature of the blockchain makes data easily accessible to the participants of the blockchain network. There are many applications of blockchain in the IT industry as it is one of the growing technology. Traditional education system suffers from marinating the data centrally. Centralized data are … …Journal of Computer Science, Vol. 21, Issue 4 · 24 Mar 2025 · 5,139 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Evaluation of Adaptive Step-Size Based FxLMS Approach for Active Noise Control in Magnetic Resonance Imaging SystemsI. Juvanna, Uppu Ramachandraiah, G. Muthukumaran et al.Magnetic Resonance Imaging (MRI) scanners emit up to 135 decibels of acoustic noise, which is a major source of discomfort for patients and personnel evaluating them during routine medical scans, necessitating the development of a method to reduce the acoustic noise generated during MRI testing. The goal of this study is to propose a frequency-domain Active Noise Control (ANC) method … …Journal of Computer Science, Vol. 18, Issue 12 · 24 Nov 2022 · 5,503 accessesView PDFCite