scholarly journals APPLICATION OF NEW INFORMATION TECHNOLOGY ON CONCRETE: AN OVERVIEW / NAUJŲ INFORMACINIŲ TECHNOLOGIJŲ NAUDOJIMAS RUOŠIANT BETONĄ. APŽVALGA

2011 ◽  
Vol 17 (2) ◽  
pp. 248-258 ◽  
Author(s):  
Bakhta Boukhatem ◽  
Said Kenai ◽  
Arezki Tagnit-Hamou ◽  
Mohamed Ghrici
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Civil Engineering ◽  
Systems Approach ◽  
Simulation Models ◽  
Concrete Technology ◽  
Concrete Mix Design ◽  
Recent Developments ◽  
Scientific Challenge ◽  
Systems Simulation

The development of information technology provides means for quick access to a wide variety of information and methods of modelling complex systems. Simulation models, databases, decision support systems and artificial intelligence have currently become more accessible. Advances of these techniques continue to impact highly on civil engineering. The aim of this paper is to present recent developments in information technology and their influence on concrete technology. A historical perspective on researches and a review of the application of artificial intelligence techniques on concrete are presented. Development of computer integrated knowledge systems, approach of virtual systems and soft- ware for concrete mix design are also discussed. These systems have greatly affected handling tasks in civil engineering design over the past decade and promise to have revolutionary impacts on the nature of the design tasks in the future. They are considered useful and powerful tools which are able to solve complex problems and represent a scientific challenge in concrete technology. Santrauka Vystantis informacinems technologijoms, atsiranda galimybiuų greitai gauti iųvairiausios informacijos ir metoduų, kaip modeliuoti sudėtingas sistemas. Pastaruoju metu paplito imitaciniai modeliai, duomenuų bazės, sprendimuų paramos sistemos ir dirbtinis intelektas. Šiuų metodikuų pažanga statybuų sektoriui ir toliau daro didžiule˛ iųtaka˛. Šiame darbe siekiama pristatyti informaciniuų technologijuų naujienas ir juų iųtaka˛ betono technologijoms. Apžvelgiami ankstesni tyrimai ir dirbtinio intelekto metoduų taikymas ruošiant betona˛. Be to, aptariamas integruotuų kompiuteriniuų žiniuų sistemuų vystymas, virtualiuų sistemuų naudojimas ir programinė iųranga betono mišiniams kurti. Per pastarajių dešimtmetių šios sistemos padarė nemenka˛ iųtaka˛ tam, kaip atliekamos inžinerinio projektavimo užduotys, ir turėtuų paskatinti projektavimo užduoČiuų perversma ateityje. Jos – naudingi ir galingi iųrankiai, leidžiantys spre˛sti sudėtingas problemas, tai mokslinis iššūkis betono technologijuų srityje.

Artificial Intelligence Techniques in Medicine and Healthcare

2011 ◽  
pp. 784-791 ◽  
Author(s):  
Rezaul Begg
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Movement Pattern ◽  
Community Research ◽  
Risk Minimization ◽  
Diagnostic Systems ◽  
Disease States ◽  
Future Challenges ◽  
Recent Developments ◽  
Health Related

Now-a-days, researchers are increasingly looking into new and innovative techniques with the help of information technology to overcome the rapid surge in healthcare costs facing the community. Research undertaken in the past has shown that artificial intelligence (AI) tools and techniques can aid in the diagnosis of disease states and assessment of treatment outcomes. This has been demonstrated in a number of areas, including: help with medical decision support system, classification of heart disease from electrocardiogram (ECG) waveforms, identification of epileptic seizure from electroencephalogram (EEG) signals, ophthalmology to detect glaucoma disease, abnormality in movement pattern (gait) recognition for rehabilitation and potential falls risk minimization, assisting functional electrical stimulation (FES) control in rehabilitation setting of spinal cord injured patients, and clustering of medical images (Begg et al., 2003; Garrett et al., 2003; Masulli et al., 1998; Papadourokis et al., 1998; Silva & Silva, 1998). Recent developments in information technology and AI tools, particularly in neural networks, fuzzy logic and support vector machines, have provided the necessary support to develop highly efficient automated diagnostic systems. Despite plenty of future challenges, these new advances in AI tools hold much promise for future developments in AI-based approaches in solving medical and health-related problems. This article is organized as follows: Following an overview of major AI techniques, a brief review of some of the applications of AI in healthcare is provided. Future challenges and directions in automated diagnostics are discussed in the summary and conclusion sections.

scholarly journals Artificial Intelligence Methods and Their Applications in Civil Engineering

2015 ◽  
pp. 166-189 ◽  
Author(s):  
Gonzalo Martínez-Barrera ◽  
Osman Gencel ◽  
Ahmet Beycioglu ◽  
Serkan Subaşı ◽  
Nelly González-Rivas
Keyword(s):  
Artificial Intelligence ◽  
Graphical User Interface ◽  
Building Materials ◽  
Engineering Students ◽  
Civil Engineering ◽  
Construction Materials ◽  
Transportation Engineering ◽  
Concrete Technology ◽  
Promising Alternative ◽  
Fuzzy Genetic

Simulation of material properties generally involves the development of a mathematical model derived from experimental data. In structural mechanics and construction materials contexts, recent experiments have reported that fuzzy logic (FL), artificial neural networks (ANNs), genetic algorithm (GA), and fuzzy genetic (FG) may offer a promising alternative. They are known as artificial intelligence (AI). In civil engineering, AI methods have been extensively used in the fields of civil engineering applications such as construction management, building materials, hydraulic, optimization, geotechnical and transportation engineering. Many studies have examined the applicability of AI methods to estimate concrete properties. This chapter described the principles of FL methods that can be taught to engineering students through MATLAB graphical user interface carried out in a postgraduate course on Applications of Artificial Intelligence in Engineering, discussed the application of Mamdani type in concrete technology and highlighted key studies related to the usability of FL in concrete technology.

scholarly journals Artificial Intelligence Methods and Their Applications in Civil Engineering

Fuzzy Systems ◽  
2017 ◽  
pp. 1453-1477
Author(s):  
Gonzalo Martínez-Barrera ◽  
Osman Gencel ◽  
Ahmet Beycioglu ◽  
Serkan Subaşı ◽  
Nelly González-Rivas
Keyword(s):  
Artificial Intelligence ◽  
Graphical User Interface ◽  
Building Materials ◽  
Engineering Students ◽  
Civil Engineering ◽  
Construction Materials ◽  
Transportation Engineering ◽  
Concrete Technology ◽  
Promising Alternative ◽  
Fuzzy Genetic

Simulation of material properties generally involves the development of a mathematical model derived from experimental data. In structural mechanics and construction materials contexts, recent experiments have reported that fuzzy logic (FL), artificial neural networks (ANNs), genetic algorithm (GA), and fuzzy genetic (FG) may offer a promising alternative. They are known as artificial intelligence (AI). In civil engineering, AI methods have been extensively used in the fields of civil engineering applications such as construction management, building materials, hydraulic, optimization, geotechnical and transportation engineering. Many studies have examined the applicability of AI methods to estimate concrete properties. This chapter described the principles of FL methods that can be taught to engineering students through MATLAB graphical user interface carried out in a postgraduate course on Applications of Artificial Intelligence in Engineering, discussed the application of Mamdani type in concrete technology and highlighted key studies related to the usability of FL in concrete technology.

DEVELOPING THE SCIENTIFIC MAGAZINE IN THE PERIOD OF THE FOURTH INDUSTRIAL REVOLUTION 4.0

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Nguyen Duy Dung
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Industrial Revolution ◽  
Scientific Journal ◽  
Publishing Research ◽  
The Other ◽  
High Tech ◽  
Fourth Industrial Revolution ◽  
Socio Economic Development ◽  
International Scientific Journal

Characteristics of the industrial revolution 4.0 is the wide application of high-tech achievements, especially information technology, digitalization, artificial intelligence, network connections for management to create sudden changes in socio-economic development of many countries. Therefore, to reach the high-tech time, many magazines in Vietnam have changed dramatically, striving to reach the international scientific journal system of ISI, Scopus. The publication of international standard scientific journal will meet the demand of publishing research results of local scientists, on the other hand contribute to strengthening exchange, cooperation, international integration in science and technology.

Virtual Screening Meets Deep Learning

2018 ◽  
Vol 15 (1) ◽  
pp. 6-28 ◽  
Author(s):  
Javier Pérez-Sianes ◽  
Horacio Pérez-Sánchez ◽  
Fernando Díaz
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Virtual Screening ◽  
Great Increase ◽  
New Drugs ◽  
Learning Approach ◽  
Screening Strategies ◽  
Computer Aided ◽  
Recent Developments

Background: Automated compound testing is currently the de facto standard method for drug screening, but it has not brought the great increase in the number of new drugs that was expected. Computer- aided compounds search, known as Virtual Screening, has shown the benefits to this field as a complement or even alternative to the robotic drug discovery. There are different methods and approaches to address this problem and most of them are often included in one of the main screening strategies. Machine learning, however, has established itself as a virtual screening methodology in its own right and it may grow in popularity with the new trends on artificial intelligence. Objective: This paper will attempt to provide a comprehensive and structured review that collects the most important proposals made so far in this area of research. Particular attention is given to some recent developments carried out in the machine learning field: the deep learning approach, which is pointed out as a future key player in the virtual screening landscape.

Artificial intelligence and the radiologist: the future in the Armed Forces Medical Services

2019 ◽  
pp. jramc-2018-001055
Author(s):  
Debraj Sen ◽  
R Chakrabarti ◽  
S Chatterjee ◽  
D S Grewal ◽  
K Manrai
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Cyber Security ◽  
Tertiary Care ◽  
Armed Forces ◽  
Medical Services ◽  
Imaging Biomarkers ◽  
Imaging Data ◽  
Adequate Funding ◽  
Trained Manpower

Artificial intelligence (AI) involves computational networks (neural networks) that simulate human intelligence. The incorporation of AI in radiology will help in dealing with the tedious, repetitive, time-consuming job of detecting relevant findings in diagnostic imaging and segmenting the detected images into smaller data. It would also help in identifying details that are oblivious to the human eye. AI will have an immense impact in populations with deficiency of radiologists and in screening programmes. By correlating imaging data from millions of patients and their clinico-demographic-therapy-morbidity-mortality profiles, AI could lead to identification of new imaging biomarkers. This would change therapy and direct new research. However, issues of standardisation, transparency, ethics, regulations, training, accreditation and safety are the challenges ahead. The Armed Forces Medical Services has widely dispersed units, medical echelons and roles ranging from small field units to large static tertiary care centres. They can incorporate AI-enabled radiological services to subserve small remotely located hospitals and detachments without posted radiologists and ease the load of radiologists in larger hospitals. Early widespread incorporation of information technology and enabled services in our hospitals, adequate funding, regular upgradation of software and hardware, dedicated trained manpower to manage the information technology services and train staff, and cyber security are issues that need to be addressed.

“There is Nothing New in Cyberspace” a Motion for Debate

1992 ◽  
Vol 36 (14) ◽  
pp. 1049-1049 ◽  
Author(s):  
Maxwell J. Wells
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Virtual Reality ◽  
Human Computer Interaction ◽  
Cold Fusion ◽  
Major Advance ◽  
Junk Bonds ◽  
Exciting Development ◽  
Computer Interaction ◽  
The Way

Cyberspace is the environment created during the experience of virtual reality. Therefore, to assert that there is nothing new in cyberspace alludes to there being nothing new about virtual reality. Is this assertion correct? Is virtual reality an exciting development in human-computer interaction, or is it simply another example of effective simulation? Does current media interest herald a major advance in information technology, or will virtual reality go the way of artificial intelligence, cold fusion and junk bonds? Is virtual reality the best thing since sliced bread, or is it last week's buns in a new wrapper?

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