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Fuzzy logic

Muyun Qian, Youlong Yu, Naikui Ren, Jie Wang, Xiawen Jin
A sliding sensor based on a fiber Bragg grating (FBG) was proposed to enable mechanical fingers to softly grasp an object. FBG strain sensors are embedded in a polymeric material as a sensing element to obtain sliding information. This study expounded the structural design of the sliding sensor and the mechanism of sliding sensation, which were verified using the finite element simulation. The static and dynamic performances of the sliding sensor were studied experimentally. Finally, the sensing signals were processed using fuzzy logic...
January 8, 2018: Optics Express
Miroslava Cuperlovic-Culf
Machine learning uses experimental data to optimize clustering or classification of samples or features, or to develop, augment or verify models that can be used to predict behavior or properties of systems. It is expected that machine learning will help provide actionable knowledge from a variety of big data including metabolomics data, as well as results of metabolism models. A variety of machine learning methods has been applied in bioinformatics and metabolism analyses including self-organizing maps, support vector machines, the kernel machine, Bayesian networks or fuzzy logic...
January 11, 2018: Metabolites
Jiuping Xu, Rui Qiu, Zhimiao Tao, Heping Xie
Carbon emissions in air passenger transport have become increasing serious with the rapidly development of aviation industry. Combined with a tripartite equilibrium strategy, this paper proposes a multi-level multi-objective model for an air passenger transport carbon tax setting problem (CTSP) among an international organization, an airline and passengers with the fuzzy uncertainty. The proposed model is simplified to an equivalent crisp model by a weighted sum procedure and a Karush-Kuhn-Tucker (KKT) transformation method...
January 8, 2018: Environmental Science and Pollution Research International
Debjyoti Bhattacharjee, Wonjoo Kim, Anupam Chattopadhyay, Rainer Waser, Vikas Rana
Among emerging non-volatile storage technologies, redox-based resistive switching Random Access Memory (ReRAM) is a prominent one. The realization of Boolean logic functionalities using ReRAM adds an extra edge to this technology. Recently, 7-state ReRAM devices were used to realize ternary arithmetic circuits, which opens up the computing space beyond traditional binary values. In this manuscript, we report realization of multi-valued and fuzzy logic operators with a representative application using ReRAM devices...
January 8, 2018: Scientific Reports
Juan Albino Mendez, Ana Leon, Ayoze Marrero, Jose M Gonzalez-Cava, Jose Antonio Reboso, Jose Ignacio Estevez, José F Gomez-Gonzalez
OBJECTIVE: The main objective of this research is the design and implementation of a new fuzzy logic tool for automatic drug delivery in patients undergoing general anesthesia. The aim is to adjust the drug dose to the real patient needs using heuristic knowledge provided by clinicians. A two-level computer decision system is proposed. The idea is to release the clinician from routine tasks so that he can focus on other variables of the patient. METHODS: The controller uses the Bispectral Index (BIS) to assess the hypnotic state of the patient...
January 5, 2018: Artificial Intelligence in Medicine
Nicola Amoroso, Domenico Diacono, Annarita Fanizzi, Marianna La Rocca, Alfonso Monaco, Angela Lombardi, Cataldo Guaragnella, Roberto Bellotti, Sabina Tangaro
BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and its onset in subjects affected by mild cognitive impairment (MCI) based on structural MRI features is one of the most important open issues in neuroimaging. Accordingly, a scientific challenge has been promoted, on the international Kaggle platform, to assess the performance of different classification methods for prediction of MCI and its conversion to AD. NEW METHOD: This work presents a classification strategy based on Random Forest feature selection and Deep Neural Network classification using a mixed cohort including the four classes of classification problem, that is HC, AD, MCI, cMCI, to train the model...
December 26, 2017: Journal of Neuroscience Methods
Fenglei Fan, Wenxiang Cong, Ge Wang
The artificial neural network is a popular framework in machine learning. To empower individual neurons, we recently suggested that the current type of neurons could be upgraded to 2nd order counterparts, in which the linear operation between inputs to a neuron and the associated weights is replaced with a nonlinear quadratic operation. A single 2nd -order neurons already has a strong nonlinear modeling ability, such as implementing basic fuzzy logic operations. In this paper, we develop a general backpropagation (BP) algorithm to train the network consisting of 2nd -order neurons...
December 26, 2017: International Journal for Numerical Methods in Biomedical Engineering
Kun You, Lijiang Wei, Kai Jiang
Diesel engines have dominated in the heavy-duty vehicular and marine power source. However, the induced air pollution is a big problem. As people's awareness of environmental protection increasing, the emission regulations of diesel-engine are becoming more stringent. In order to achieve the emission regulations, the after-treatment system is a necessary choice. Specifically, the selective catalytic reduction (SCR) system has been widely applied to reduce the NOX emissions of diesel engine. Different from single-cell SCR systems, the two-cell systems have various benefits from the modeling and control perspective...
December 22, 2017: ISA Transactions
Andrés M Cisneros-Montemayor, Gerald G Singh, William W L Cheung
Evaluating progress towards environmental sustainability goals can be difficult due to a lack of measurable benchmarks and insufficient or uncertain data. Marine settings are particularly challenging, as stakeholders and objectives tend to be less well defined and ecosystem components have high natural variability and are difficult to observe directly. Fuzzy logic expert systems are useful analytical frameworks to evaluate such systems, and we develop such a model here to formally evaluate progress towards sustainability targets based on diverse sets of indicators...
December 16, 2017: Ambio
Mina Fallah, Sharareh R Niakan Kalhori
Objectives: Smartphones represent a promising technology for patient-centered healthcare. It is claimed that data mining techniques have improved mobile apps to address patients' needs at subgroup and individual levels. This study reviewed the current literature regarding data mining applications in patient-centered mobile-based information systems. Methods: We systematically searched PubMed, Scopus, and Web of Science for original studies reported from 2014 to 2016...
October 2017: Healthcare Informatics Research
Dariusz Jakubas, Katarzyna Wojczulanis-Jakubas, Lech M Iliszko, Hallvard Strøm, Lech Stempniewicz
Here, we model current and future distribution of a foraging Arctic endemic species, the little auk (Alle alle), a small zooplanktivorous Arctic seabird. We characterized environmental conditions [sea depth, sea surface temperature (SST), marginal sea ice zone (MIZ)] at foraging positions of GPS-tracked individuals from three breeding colonies in Svalbard: one located at the southern rim of the Arctic zone (hereafter 'boreo-Arctic') and two in the high-Arctic zone on Spitsbergen ('high-Arctic'). The birds from one 'high-Arctic' colony, influenced by cold Arctic water, foraged in the shallow shelf zone near the colony...
November 24, 2017: Scientific Reports
Gleise Silva David, Paloma Maria Silva Rocha Rizol, Luiz Fernando Costa Nascimento
OBJECTIVE: To build a fuzzy computational model to estimate the number of hospitalizations of children aged up to 10 years due to respiratory conditions based on pollutants and climatic factors in the city of São José do Rio Preto, Brazil. METHODS: A computational model was constructed using the fuzzy logic. The model has 4 inputs, each with 2 membership functions generating 16 rules, and the output with 5 pertinence functions, based on the Mamdani's method, to estimate the association between the pollutants and the number of hospitalizations...
November 13, 2017: Revista Paulista de Pediatria: Orgão Oficial da Sociedade de Pediatria de São Paulo
Madan Lal, Lakhwinder Kaur, Savita Gupta
BACKGROUND: Since breast ultrasound images are of low contrast, contain inherent noise and shadowing effect due to its imaging process, segmentation of breast tumors depicting ultrasound image is a challenging task. Thus, a robust breast ultrasound image segmentation technique is inevitable. OBJECTIVE: To develop an automatic lesion segmentation technique and scheme for breast ultrasound images. METHODS: First, the scheme automatically detects the suspicious tumor region of interest and dscards the unwanted complex background regions...
November 16, 2017: Journal of X-ray Science and Technology
Huifang E Wang, Karl J Friston, Christian G Bénar, Marmaduke M Woodman, Patrick Chauvel, Viktor Jirsa, Christophe Bernard
Many analysis methods exist to extract graphs of functional connectivity from neuronal networks. Confidence in the results is limited because, (i) different methods give different results, (ii) parameter setting directly influences the final result, and (iii) systematic evaluation of the results is not always performed. Here, we introduce MULAN (MULtiple method ANalysis), which assumes an ensemble based approach combining multiple analysis methods and fuzzy logic to extract graphs with the most probable structure...
October 27, 2017: NeuroImage
Elham Goleiji, Seyed Mohsen Hosseini, Nematollah Khorasani, Seyed Masoud Monavari
The present study deals with application of the weighted linear combination method for zoning of forest fire risk in Dohezar and Sehezar region of Mazandaran province in northern Iran. In this study, the effective criteria for fires were identified by the Delphi method, and these included ecological and socioeconomic parameters. In this regard, the first step comprised of digital layers; the required data were provided from databases, related centers, and field data collected in the region. Then, the map of criteria was digitized in a geographic information system, and all criteria and indexes were normalized by fuzzy logic...
November 6, 2017: Environmental Monitoring and Assessment
Jumanah A Al-Dmour, Assim Sagahyroon, A R Al-Ali, Salah Abusnana
Typically acute deterioration in sick people is preceded by subtle changes in the physiological parameters such as pulse and blood pressure. The Modified Early Warning Score is a scoring system developed to assist hospital staff in gauging these physiological changes and identifying patients in need of urgent medical care to avoid catastrophic deterioration. This work discusses the design and implementation of an equivalent warning system that utilizes fuzzy logic techniques to categorize patients' status. The system is implemented and tested in Rashid Centre for Diabetes and Research in UAE...
November 1, 2017: Health Informatics Journal
Bhadranie Thoradeniya, Uthpala Pinto, Basant Maheshwari
Integrated management of water quality is critical for sustaining food production and achieving overall well-being of a community. Further, understanding people's perceptions and engagement can play an important role in achieving water and food security. The main aim of this study was to investigate the perspectives of community and other stakeholders as to how water quality impacts on agriculture, livelihood and community well-being within rural farming communities of two dry zone districts of Sri Lanka. The study adopted 'key informant interviews' as the methodology to investigate community and other stakeholder perspectives to collect primary data over a period of four months...
November 4, 2017: Environmental Science and Pollution Research International
Khim Chhantyal, Håkon Viumdal, Saba Mylvaganam
In oil and gas and geothermal installations, open channels followed by sieves for removal of drill cuttings, are used to monitor the quality and quantity of the drilling fluids. Drilling fluid flow rate is difficult to measure due to the varying flow conditions (e.g., wavy, turbulent and irregular) and the presence of drilling cuttings and gas bubbles. Inclusion of a Venturi section in the open channel and an array of ultrasonic level sensors above it at locations in the vicinity of and above the Venturi constriction gives the varying levels of the drilling fluid in the channel...
October 26, 2017: Sensors
Yu-Hsien Chiu, Tien-Wen Chen, Yenming J Chen, Ching-I Su, Kao-Shing Hwang, Wen-Hsien Ho
BACKGROUND: Effective neurological rehabilitation requires long term assessment and treatment. The rapid progress of virtual reality-based assistive technologies and tele-rehabilitation has increased the potential for self-rehabilitation of various neurological injuries under clinical supervision. OBJECTIVE: The objective of this study was to develop a fuzzy inference mechanism for a smart mobile computing system designed to support in-home rehabilitation of patients with neurological injury in the hand by providing an objective means of self-assessment...
October 13, 2017: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
Wujing Cao, Hongliu Yu, Weiliang Zhao, Jin Li, Xiaodong Wei
BACKGROUND: Prosthetic knee is the most important component of lower limb prosthesis. Speed adaptive for prosthetic knee during swing flexion is the key method to realize physiological gait. OBJECTIVE: This study aims to discuss the target of physiological gait, propose a speed adaptive control method during swing flexion and research the damping adjustment law of intelligent hydraulic prosthetic knee. METHODS: According to the physiological gait trials of healthy people, the control target during swing flexion is defined...
October 13, 2017: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
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