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https://www.readbyqxmd.com/read/28735210/moisture-content-prediction-in-poultry-litter-using-artificial-intelligence-techniques-and-monte-carlo-simulation-to-determine-the-economic-yield-from-energy-use
#1
José Octavio Rico-Contreras, Alberto Alfonso Aguilar-Lasserre, Juan Manuel Méndez-Contreras, Jhony Josué López-Andrés, Gabriela Cid-Chama
The objective of this study is to determine the economic return of poultry litter combustion in boilers to produce bioenergy (thermal and electrical), as this biomass has a high-energy potential due to its component elements, using fuzzy logic to predict moisture and identify the high-impact variables. This is carried out using a proposed 7-stage methodology, which includes a statistical analysis of agricultural systems and practices to identify activities contributing to moisture in poultry litter (for example, broiler chicken management, number of air extractors, and avian population density), and thereby reduce moisture to increase the yield of the combustion process...
July 20, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28733119/artificial-intelligence-in-medicine-aime-2015
#2
EDITORIAL
John H Holmes, Lucia Sacchi, Riccardo Bellazzi, Niels Peek
No abstract text is available yet for this article.
July 18, 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28732896/a-hydrogel-actuator-with-flexible-folding-deformation-and-shape-programming-via-using-sodium-carboxymethyl-cellulose-and-acrylic-acid
#3
Shuiping Wu, Feng Yu, Hua Dong, Xiaodong Cao
Hydrogel actuator is an intelligent material, which can work as artificial muscle. However, most present hydrogel actuators, due to the inferior mechanical property and uncontrolled folding property, have always resulted in slipping off or the failure of grasping an object with specific shape and required weight. In order to solve this problem, here a tough hydrogel actuator with programmable folding deformation has been prepared by combining the "selective implanting method" and "ionic coordination". The shape and folding angle (from 0 to 180 (o)) of hydrogel actuator can be precisely controlled by altering the location and size of the implanting parts that seems like the joints of finger...
October 1, 2017: Carbohydrate Polymers
https://www.readbyqxmd.com/read/28728020/neuroscience-inspired-artificial-intelligence
#4
REVIEW
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history. In more recent times, however, communication and collaboration between the two fields has become less commonplace. In this article, we argue that better understanding biological brains could play a vital role in building intelligent machines. We survey historical interactions between the AI and neuroscience fields and emphasize current advances in AI that have been inspired by the study of neural computation in humans and other animals...
July 19, 2017: Neuron
https://www.readbyqxmd.com/read/28722148/learning-from-dorothy-vaughan-artificial-intelligence-and-the-health-professions
#5
Brian D Hodges
No abstract text is available yet for this article.
July 19, 2017: Medical Education
https://www.readbyqxmd.com/read/28714884/design-and-implementation-of-a-smart-home-system-using-multisensor-data-fusion-technology
#6
Yu-Liang Hsu, Po-Huan Chou, Hsing-Cheng Chang, Shyan-Lung Lin, Shih-Chin Yang, Heng-Yi Su, Chih-Chien Chang, Yuan-Sheng Cheng, Yu-Chen Kuo
This paper aims to develop a multisensor data fusion technology-based smart home system by integrating wearable intelligent technology, artificial intelligence, and sensor fusion technology. We have developed the following three systems to create an intelligent smart home environment: (1) a wearable motion sensing device to be placed on residents' wrists and its corresponding 3D gesture recognition algorithm to implement a convenient automated household appliance control system; (2) a wearable motion sensing device mounted on a resident's feet and its indoor positioning algorithm to realize an effective indoor pedestrian navigation system for smart energy management; (3) a multisensor circuit module and an intelligent fire detection and alarm algorithm to realize a home safety and fire detection system...
July 15, 2017: Sensors
https://www.readbyqxmd.com/read/28713235/connecting-the-brain-to-itself-through-an-emulation
#7
Mijail D Serruya
Pilot clinical trials of human patients implanted with devices that can chronically record and stimulate ensembles of hundreds to thousands of individual neurons offer the possibility of expanding the substrate of cognition. Parallel trains of firing rate activity can be delivered in real-time to an array of intermediate external modules that in turn can trigger parallel trains of stimulation back into the brain. These modules may be built in software, VLSI firmware, or biological tissue as in vitro culture preparations or in vivo ectopic construct organoids...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28704945/a-study-on-the-data-compression-technology-based-intelligent-data-acquisition-idaq-system-for-structural-health-monitoring-of-civil-structures
#8
Gwanghee Heo, Joonryong Jeon
In this paper, a data compression technology-based intelligent data acquisition (IDAQ) system was developed for structural health monitoring of civil structures, and its validity was tested using random signals (El-Centro seismic waveform). The IDAQ system was structured to include a high-performance CPU with large dynamic memory for multi-input and output in a radio frequency (RF) manner. In addition, the embedded software technology (EST) has been applied to it to implement diverse logics needed in the process of acquiring, processing and transmitting data...
July 12, 2017: Sensors
https://www.readbyqxmd.com/read/28702488/data-on-the-physical-and-mechanical-properties-of-soilcrete-materials-modified-with-metakaolin
#9
Panagiotis G Asteris, Konstantinos G Kolovos
During the last decades eco-friendly, low-cost, sustainable construction materials for utilization in civil engineering projects have attracted much attention. To this end, soilcretes are non-conventional construction materials produced by mixing natural soil such as natural clay or limestone sand with a hydraulic binder and are recently under detailed and in-depth investigation by many researchers. In this paper the results of the physical and mechanical characteristics of a large set of cylindrical specimens under uniaxial compression, are presented...
August 2017: Data in Brief
https://www.readbyqxmd.com/read/28698926/diagnosis-of-dementia-by-machine-learning-methods-in-epidemiological-studies-a-pilot-exploratory-study-from-south-india
#10
Sheshadri Iyengar Raghavan Bhagyashree, Kiran Nagaraj, Martin Prince, Caroline H D Fall, Murali Krishna
BACKGROUND: There are limited data on the use of artificial intelligence methods for the diagnosis of dementia in epidemiological studies in low- and middle-income country (LMIC) settings. A culture and education fair battery of cognitive tests was developed and validated for population based studies in low- and middle-income countries including India by the 10/66 Dementia Research Group. AIMS: We explored the machine learning methods based on the 10/66 battery of cognitive tests for the diagnosis of dementia based in a birth cohort study in South India...
July 11, 2017: Social Psychiatry and Psychiatric Epidemiology
https://www.readbyqxmd.com/read/28684481/ai-glossary-artificial-intelligence-in-so-many-words
#11
Matthew Hutson
No abstract text is available yet for this article.
July 7, 2017: Science
https://www.readbyqxmd.com/read/28682336/artificial-intelligence-ai-zooms-in-on-highly-influential-citations
#12
Oren Etzioni
No abstract text is available yet for this article.
July 5, 2017: Nature
https://www.readbyqxmd.com/read/28682269/adaptive-critic-nonlinear-robust-control-a-survey
#13
Ding Wang, Haibo He, Derong Liu
Adaptive dynamic programming (ADP) and reinforcement learning are quite relevant to each other when performing intelligent optimization. They are both regarded as promising methods involving important components of evaluation and improvement, at the background of information technology, such as artificial intelligence, big data, and deep learning. Although great progresses have been achieved and surveyed when addressing nonlinear optimal control problems, the research on robustness of ADP-based control strategies under uncertain environment has not been fully summarized...
July 3, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28681902/integration-of-scheimpflug-based-corneal-tomography-and-biomechanical-assessments-for-enhancing-ectasia-detection
#14
Renato Ambrósio, Bernardo T Lopes, Fernando Faria-Correia, Marcella Q Salomão, Jens Bühren, Cynthia J Roberts, Ahmed Elsheikh, Riccardo Vinciguerra, Paolo Vinciguerra
PURPOSE: To present the Tomographic and Biomechanical Index (TBI), which combines Scheimpflugbased corneal tomography and biomechanics for enhancing ectasia detection. METHODS: Patients from different continents were retrospectively studied. The normal group included 1 eye randomly selected from 480 patients with normal corneas and the keratoconus group included 1 eye randomly selected from 204 patients with keratoconus. There were two groups: 72 ectatic eyes with no surgery from 94 patients with very asymmetric ectasia (VAE-E group) and the fellow eyes of these patients with normal topography (VAE-NT group)...
July 1, 2017: Journal of Refractive Surgery
https://www.readbyqxmd.com/read/28681679/artificial-intelligence-for-analyzing-orthopedic-trauma-radiographs
#15
Jakub Olczak, Niklas Fahlberg, Atsuto Maki, Ali Sharif Razavian, Anthony Jilert, André Stark, Olof Sköldenberg, Max Gordon
Background and purpose - Recent advances in artificial intelligence (deep learning) have shown remarkable performance in classifying non-medical images, and the technology is believed to be the next technological revolution. So far it has never been applied in an orthopedic setting, and in this study we sought to determine the feasibility of using deep learning for skeletal radiographs. Methods - We extracted 256,000 wrist, hand, and ankle radiographs from Danderyd's Hospital and identified 4 classes: fracture, laterality, body part, and exam view...
July 6, 2017: Acta Orthopaedica
https://www.readbyqxmd.com/read/28679491/effectiveness-of-adaptive-e-learning-environments-on-knowledge-competence-and-behavior-in-health-professionals-and-students-protocol-for-a-systematic-review-and-meta-analysis
#16
Guillaume Fontaine, Sylvie Cossette, Marc-André Maheu-Cadotte, Tanya Mailhot, Marie-France Deschênes, Gabrielle Mathieu-Dupuis
BACKGROUND: Adaptive e-learning environments (AEEs) can provide tailored instruction by adapting content, navigation, presentation, multimedia, and tools to each user's navigation behavior, individual objectives, knowledge, and preferences. AEEs can have various levels of complexity, ranging from systems using a simple adaptive functionality to systems using artificial intelligence. While AEEs are promising, their effectiveness for the education of health professionals and health professions students remains unclear...
July 5, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28678669/automated-critical-test-findings-identification-and-online-notification-system-using-artificial-intelligence-in-imaging
#17
Luciano M Prevedello, Barbaros S Erdal, John L Ryu, Kevin J Little, Mutlu Demirer, Songyue Qian, Richard D White
Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm for detecting hemorrhage, mass effect, or hydrocephalus (HMH) at non-contrast material-enhanced head computed tomographic (CT) examinations and to determine algorithm performance for detection of suspected acute infarct (SAI). Materials and Methods This HIPAA-compliant retrospective study was completed after institutional review board approval. A training and validation dataset of noncontrast-enhanced head CT examinations that comprised 100 examinations of HMH, 22 of SAI, and 124 of noncritical findings was obtained resulting in 2583 representative images...
July 3, 2017: Radiology
https://www.readbyqxmd.com/read/28678162/monitoring-based-model-for-personalizing-the-clinical-process-of-crohn-s-disease
#18
Alberto de Ramón-Fernández, Daniel Ruiz-Fernández, Diego Marcos-Jorquera, Virgilio Gilart-Iglesias, Víctor Vives-Boix
Crohn's disease is a chronic pathology belonging to the group of inflammatory bowel diseases. Patients suffering from Crohn's disease must be supervised by a medical specialist for the rest of their lives; furthermore, each patient has its own characteristics and is affected by the disease in a different way, so health recommendations and treatments cannot be generalized and should be individualized for a specific patient. To achieve this personalization in a cost-effective way using technology, we propose a model based on different information flows: control, personalization, and monitoring...
July 5, 2017: Sensors
https://www.readbyqxmd.com/read/28677638/unsupervised-fault-diagnosis-of-a-gear-transmission-chain-using-a-deep-belief-network
#19
Jun He, Shixi Yang, Chunbiao Gan
Artificial intelligence (AI) techniques, which can effectively analyze massive amounts of fault data and automatically provide accurate diagnosis results, have been widely applied to fault diagnosis of rotating machinery. Conventional AI methods are applied using features selected by a human operator, which are manually extracted based on diagnostic techniques and field expertise. However, developing robust features for each diagnostic purpose is often labour-intensive and time-consuming, and the features extracted for one specific task may be unsuitable for others...
July 4, 2017: Sensors
https://www.readbyqxmd.com/read/28674931/why-we-should-create-artificial-offspring-meaning-and-the-collective-afterlife
#20
John Danaher
This article argues that the creation of artificial offspring could make our lives more meaningful (i.e. satisfy more meaning-relevant conditions of value). By 'artificial offspring' I mean beings that we construct, with a mix of human and non-human-like qualities. Robotic artificial intelligences are paradigmatic examples of the form. There are two reasons for thinking that the creation of such beings could make our lives more meaningful and valuable. The first is that the existence of a collective afterlife-i...
July 3, 2017: Science and Engineering Ethics
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