Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

33 results for “Intelligent Product”
Set a search alert
Research ArticleOpen accessIn the abstractPrototyping Rule-Based Expert Systems with the Aid of Model TransformationsAlexander Yurievich Yurin, Nikita Olegovich Dorodnykh, Olga Anatolievna Nikolaychuk, Maksim Andreevich GrishenkoThe problem of improving efficiency of intelligence systems engineering remains a relevant topic of scientific research. One of the trends in this area is the use of the principles of cognitive (visual) modelling and design as well as approaches based on generative programming and model transformations. This paper aims to describe the implementation and application of model transformations for prototyping … …Journal of Computer Science, Vol. 14, Issue 5 · 3 Apr 2018 · 8,149 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart-Factory: Optimization and Process Control of Composite Centrifuged PipesRaffaella Aversa, Relly Victoria V. Petrescu, Florian Ion T. Petrescu, Antonio ApicellaProcess optimization strategies and intelligent control algorithms for an industrial centrifugal pipe production are presented. The chemo-rheological and thermo-kinetic features of the polymerization of unsaturated polyester based composites are analyzed by means of a mathematical model that uses the heat transfer and generation properties of polymerizable systems. The evolution of the system temperature, viscosity and degree of cure profiles in … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 29 Nov 2016 · 8,906 accessesView PDFCite
Research ArticleOpen accessIn the abstractAUTOMATIC MUSIC EMOTION CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK BASED ON VOCAL AND INSTRUMENTAL SOUND TIMBRESMudiana Binti Mokhsin, Nurlaila Binti Rosli, Suzana Zambri et al.Detecting emotion features in a song remains as a challenge in various area of research especially in Music Emotion Classification (MEC). In order to classify selected song with certain mood or emotion, the algorithms of the machine learning must be intelligent enough to learn the data features as to match the features accordingly to the accurate emotion. Until now, there … …Journal of Computer Science, Vol. 10, Issue 12 · 29 Dec 2014 · 8,527 accessesView PDFCite
Research ArticleOpen accessIn the abstractEMERGING TRENDS IN ADAPTIVE COMPUTATION FOR MOBIQUITOUS SYSTEMSJesus FriginalThe future is in networked embedded systems. This affirmation is based on the principle that networked embedded systems will make possible the development of more intelligent living, work, entertainment, energy production systems and transport environments. It is estimated that the number of networked smart objects on a planetary scale will increase beyond20 billion units by 2020, thus promoting the emergence … …Journal of Computer Science, Vol. 10, Issue 11 · 19 Aug 2014 · 8,309 accessesView PDFCite
Research ArticleOpen accessIn the abstractGas Turbine Ontology for the Industrial ProcessesF. Z. Laallam, M. SellamiThe activity of supervision and control of the industrial processes is a very complex spot and require a great experiment because of the dynamic characteristics of the process. This experiment was acquired with the passing of years. What makes departure of an expert in retirement a great loss of the know-how. The problem thus consists to capture this know-how and … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,298 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordBlockchain: An Efficient Intelligent Agreement for Patents and TrademarksVikram Shirol, Shanmuga RathinamIntellectual property security faces problems in the digital era, with growing piracy, AI-generated works, and global compliance problems, Creations, designs, trademarks, and trade secrets are all protected by Intellectual Property (IP) rights; yet, there are several issues with IP rights management and enforcement around the world. The benefits of blockchain technology include decentralization, transparency, and immutability. Therefore, blockchain offers to … …Journal of Computer Science, Vol. 21, Issue 3 · 20 Feb 2025 · 5,491 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPrediction of End-of-Life Strategies for Household Equipments Using Artificial IntelligentM. M. Noor, K. Kadirgama, Aidy Ali et al.Problem statement: Environment issue on the dumping of used household product is a big challenge nowadays. Towards green design, life cycle of a product is very crucial. This study discussed on recycling strategies which include reuse, service, remanufacture and recycle with or without disassembly by using Support Vector Machine Method (SVM). Approach: In early stage of prediction, the input parameters … …American Journal of Applied Sciences, Vol. 6, Issue 10 · 31 Oct 2009 · 7,931 accessesView PDFCite