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https://www.readbyqxmd.com/read/28212024/environmental-multi-objective-optimization-of-the-use-of-biomass-resources-for-energy
#1
Carl Vadenbo, Davide Tonini, Thomas Fruergaard Astrup
Bioenergy is often considered an important component, alongside other renewables, to mitigate global warming and to reduce fossil fuel dependency. Determining sustainable strategies for utilizing biomass resources, however, requires a holistic perspective to reflect a wider range of potential environmental consequences. To circumvent the limitations of scenario-based life cycle assessment (LCA), we develop a multi-objective optimization model to systematically identify the environmentally-optimal use of biomass for energy under given system constraints...
February 17, 2017: Environmental Science & Technology
https://www.readbyqxmd.com/read/28210991/extraction-of-fetal-ecg-signal-by-an-improved-method-using-extended-kalman-smoother-framework-from-single-channel-abdominal-ecg-signal
#2
D Panigrahy, P K Sahu
This paper proposes a five-stage based methodology to extract the fetal electrocardiogram (FECG) from the single channel abdominal ECG using differential evolution (DE) algorithm, extended Kalman smoother (EKS) and adaptive neuro fuzzy inference system (ANFIS) framework. The heart rate of the fetus can easily be detected after estimation of the fetal ECG signal. The abdominal ECG signal contains fetal ECG signal, maternal ECG component, and noise. To estimate the fetal ECG signal from the abdominal ECG signal, removal of the noise and the maternal ECG component presented in it is necessary...
February 16, 2017: Australasian Physical & Engineering Sciences in Medicine
https://www.readbyqxmd.com/read/28210949/distributed-mixed-integer-fuzzy-hierarchical-programming-for-municipal-solid-waste-management-part-ii-scheme-analysis-and-mechanism-revelation
#3
Guanhui Cheng, Guohe Huang, Cong Dong, Ye Xu, Jiapei Chen, Xiujuan Chen, Kailong Li
As presented in the first companion paper, distributed mixed-integer fuzzy hierarchical programming (DMIFHP) was developed for municipal solid waste management (MSWM) under complexities of heterogeneities, hierarchy, discreteness, and interactions. Beijing was selected as a representative case. This paper focuses on presenting the obtained schemes and the revealed mechanisms of the Beijing MSWM system. The optimal MSWM schemes for Beijing under various solid waste treatment policies and their differences are deliberated...
February 16, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28208795/reliable-identi%C3%AF-cation-of-vehicle-boarding-actions-based-on-fuzzy-inference-syste
#4
DaeHan Ahn, Homin Park, Seokhyun Hwang, Taejoon Park
Existing smartphone-based solutions to prevent distracted driving suffer from inadequate system designs that only recognize simple and clean vehicle-boarding actions, thereby failing to meet the required level of accuracy in real-life environments. In this paper, exploiting unique sensory features consistently monitored from a broad range of complicated vehicle-boarding actions, we propose a reliable and accurate system based on fuzzy inference to classify the sides of vehicle entrancebyleveragingbuilt-insmartphonesensorsonly...
February 9, 2017: Sensors
https://www.readbyqxmd.com/read/28208631/a-novel-strain-based-method-to-estimate-tire-conditions-using-fuzzy-logic-for-intelligent-tires
#5
Daniel Garcia-Pozuelo, Oluremi Olatunbosun, Jorge Yunta, Xiaoguang Yang, Vicente Diaz
The so-called intelligent tires are one of the most promising research fields for automotive engineers. These tires are equipped with sensors which provide information about vehicle dynamics. Up to now, the commercial intelligent tires only provide information about inflation pressure and their contribution to stability control systems is currently very limited. Nowadays one of the major problems for intelligent tire development is how to embed feasible and low cost sensors to obtain reliable information such as inflation pressure, vertical load or rolling speed...
February 10, 2017: Sensors
https://www.readbyqxmd.com/read/28207176/detecting-state-changes-for-ecosystem-conservation-with-long-term-monitoring-of-species-composition
#6
T J Mason, D A Keith, A D Letten
Effective conservation requires an understanding not only of contemporary vegetation distributions in the landscape, but also cognizance of vegetation transitions over time with the goal of maintaining persistence of all states within the landscape. Using a state and transition model framework, we investigated temporal transitions over 31 years in species composition among five upland swamp vegetation communities in southeastern Australia. We applied fuzzy clustering to document transitions across communities; evaluated the resilience and resistance of communities to change; and explored the relationship between ecosystem states and major environmental factors posited to structure the system...
October 4, 2016: Ecological Applications: a Publication of the Ecological Society of America
https://www.readbyqxmd.com/read/28194800/grain-classifier-with-computer-vision-using-adaptive-neuro-fuzzy-inference-system
#7
Kadir Sabanci, Abdurrahim Toktas, Ahmet Kayabasi
BACKGROUND: A computer vision-based classifier using adaptive neuro-fuzzy inference system (ANFIS) is designed for classifying wheat grains into bread or durum. To train and test the classifier, images of 200 wheat grains (100 for bread and 100 for durum) are taken by a high resolution camera. Visual feature data of the grains related to dimension (#4), colour (#3) and texture (#5) as inputs of the classifier is mainly acquired for each grain using image processing techniques (IPTs). In addition to this main data, 9 features are reproduced from the main features to ensure a varied population...
February 13, 2017: Journal of the Science of Food and Agriculture
https://www.readbyqxmd.com/read/28191464/construction-of-multilevel-structure-for-avian-influenza-virus-system-based-on-granular-computing
#8
Yang Li, Qi-Hao Liang, Meng-Meng Sun, Xu-Qing Tang, Ping Zhu
Exploring the genetic structure of influenza viruses attracts the attention in the field of molecular ecology and medical genetics, whose epidemics cause morbidity and mortality worldwide. The rapid variations in RNA strand and changes of protein structure of the virus result in low-accuracy subtyping identification and make it difficult to develop effective drugs and vaccine. This paper constructs the evolutionary structure of avian influenza virus system considering both hemagglutinin and neuraminidase protein fragments...
2017: BioMed Research International
https://www.readbyqxmd.com/read/28187892/interactive-radiographic-image-retrieval-system
#9
Malay Kumar Kundu, Manish Chowdhury, Sudeb Das
BACKGROUND AND OBJECTIVE: Content based medical image retrieval (CBMIR) systems enable fast diagnosis through quantitative assessment of the visual information and is an active research topic over the past few decades. Most of the state-of-the-art CBMIR systems suffer from various problems: computationally expensive due to the usage of high dimensional feature vectors and complex classifier/clustering schemes. Inability to properly handle the "semantic gap" and the high intra-class versus inter-class variability problem of the medical image database (like radiographic image database)...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187885/automated-characterization-and-counting-of-ki-67-protein-for-breast-cancer-prognosis-a-quantitative-immunohistochemistry-approach
#10
Tushar Mungle, Suman Tewary, Indu Arun, Bijan Basak, Sanjit Agarwal, Rosina Ahmed, Sanjoy Chatterjee, Asok Kumar Maity, Chandan Chakraborty
Ki-67 protein expression plays an important role in predicting the proliferative status of tumour cells and deciding the future course of therapy in breast cancer. Immunohistochemical (IHC) determination of Ki-67 score or labelling index, by estimating the fraction of Ki67 positively stained tumour cells, is the most widely practiced method to assess tumour proliferation (Dowsett et al. 2011). Accurate manual counting of these cells (specifically nuclei) due to complex and dense distribution of cells, therefore, becomes critical and presents a major challenge to pathologists...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28186919/observer-based-non-pdc-control-for-networked-t-s-fuzzy-systems-with-an-event-triggered-communication
#11
Chen Peng, Shaodong Ma, Xiangpeng Xie
This paper addresses the problem of an event-triggered non-parallel distribution compensation (PDC) control for networked Takagi-Sugeno (T-S) fuzzy systems, under consideration of the limited data transmission bandwidth and the imperfect premise matching membership functions. First, a unified event-triggered T-S fuzzy model is provided, in which: 1) a fuzzy observer with the imperfect premise matching is constructed to estimate the unmeasurable states of the studied system; 2) a fuzzy controller is designed following the same premise as the observer; and 3) an output-based event-triggering transmission scheme is designed to economize the restricted network resources...
February 7, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28186408/functional-microgels-and-microgel-systems
#12
Felix A Plamper, Walter Richtering
Microgels are macromolecular networks swollen by the solvent in which they are dissolved. They are unique systems that are distinctly different from common colloids, such as, e.g., rigid nanoparticles, flexible macromolecules, micelles, or vesicles. The size of the microgel networks is in the range of several micrometers down to nanometers (then sometimes called "nanogels"). In a collapsed state, they might resemble hard colloids but they can still contain significant amounts of solvent. When swollen, they are soft and have a fuzzy surface with dangling chains...
February 10, 2017: Accounts of Chemical Research
https://www.readbyqxmd.com/read/28185926/using-a-genetic-fuzzy-algorithm-as-a-computer-aided-diagnosis-tool-on-saudi-arabian-breast-cancer-database
#13
Abir Alharbi, F Tchier
The computer-aided diagnosis has become one of the major research topics in medical diagnostics. In this research paper, we focus on designing an automated computer diagnosis by combining two major methodologies, namely the fuzzy base systems and the evolutionary genetic algorithms and applying them to the Saudi Arabian breast cancer diagnosis database, to be employed for assisting physicians in the early detection of breast cancers, and hence obtaining an early-computerized diagnosis complementary to that by physicians...
February 6, 2017: Mathematical Biosciences
https://www.readbyqxmd.com/read/28179408/time-resolved-global-and-chromatin-proteomics-during-herpes-simplex-virus-hsv-1-infection
#14
Katarzyna Kulej, Daphne C Avgousti, Simone Sidoli, Christin Herrmann, Ashley N Della Fera, Eui Tae Kim, Benjamin A Garcia, Matthew D Weitzman
Herpes simplex virus (HSV-1) lytic infection results in global changes to the host cell proteome and the proteins associated with host chromatin. We present a system level characterization of proteome dynamics during infection by performing a multi-dimensional analysis during HSV-1 lytic infection of human foreskin fibroblast (HFF) cells. Our study includes identification and quantification of the host and viral proteomes, phosphoproteomes, chromatin bound proteomes and post-translational modifications (PTMs) on cellular histones during infection...
February 8, 2017: Molecular & Cellular Proteomics: MCP
https://www.readbyqxmd.com/read/28160385/processing-binary-and-fuzzy-logic-by-chaotic-time-series-generated-by-a-hydrodynamic-photochemical-oscillator
#15
Pier Luigi Gentili, Maria Sole Giubila, B Mark Heron
This work demonstrates the computational power of a hydrodynamic photochemical oscillator based on a photochromic naphthopyran, generating aperiodic time series. The chaotic character of the time series is tested by calculating its largest Lyapunov exponent and the correlation dimension of its attractor after building its phase space through the Takens' theorem. Then, the chaotic dynamic is shown to be suitable to implement all the fundamental Boolean two-inputs-one-output logic gates. Finally, the strategy to implement Fuzzy logic systems (FLSs) based on the time series is described...
February 3, 2017: Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry
https://www.readbyqxmd.com/read/28159314/fuzzy-lyapunov-reinforcement-learning-for-non-linear-systems
#16
Abhishek Kumar, Rajneesh Sharma
We propose a fuzzy reinforcement learning (RL) based controller that generates a stable control action by lyapunov constraining fuzzy linguistic rules. In particular, we attempt at lyapunov constraining the consequent part of fuzzy rules in a fuzzy RL setup. Ours is a first attempt at designing a linguistic RL controller with lyapunov constrained fuzzy consequents to progressively learn a stable optimal policy. The proposed controller does not need system model or desired response and can effectively handle disturbances in continuous state-action space problems...
January 31, 2017: ISA Transactions
https://www.readbyqxmd.com/read/28147491/new-approach-of-financial-volatility-duration-dynamics-by-stochastic-finite-range-interacting-voter-system
#17
Guochao Wang, Jun Wang
We make an approach on investigating the fluctuation behaviors of financial volatility duration dynamics. A new concept of volatility two-component range intensity (VTRI) is developed, which constitutes the maximal variation range of volatility intensity and shortest passage time of duration, and can quantify the investment risk in financial markets. In an attempt to study and describe the nonlinear complex properties of VTRI, a random agent-based financial price model is developed by the finite-range interacting biased voter system...
January 2017: Chaos
https://www.readbyqxmd.com/read/28138886/a-belief-rule-based-expert-system-to-assess-tuberculosis-under-uncertainty
#18
Mohammad Shahadat Hossain, Faisal Ahmed, Fatema-Tuj-Johora, Karl Andersson
The primary diagnosis of Tuberculosis (TB) is usually carried out by looking at the various signs and symptoms of a patient. However, these signs and symptoms cannot be measured with 100 % certainty since they are associated with various types of uncertainties such as vagueness, imprecision, randomness, ignorance and incompleteness. Consequently, traditional primary diagnosis, based on these signs and symptoms, which is carried out by the physicians, cannot deliver reliable results. Therefore, this article presents the design, development and applications of a Belief Rule Based Expert System (BRBES) with the ability to handle various types of uncertainties to diagnose TB...
March 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28126387/research-and-application-of-a-hybrid-model-based-on-dynamic-fuzzy-synthetic-evaluation-for-establishing-air-quality-forecasting-and-early-warning-system-a-case-study-in-china
#19
Yunzhen Xu, Pei Du, Jianzhou Wang
As the atmospheric environment pollution has been becoming more and more serious in China, it is highly desirable to develop a scientific and effective early warning system that plays a great significant role in analyzing and monitoring air quality. However, establishing a robust early warning system for warning the public in advance and ameliorating air quality is not only an extremely challenging task but also a public concerned problem for human health. Most previous studies are focused on improving the prediction accuracy, which usually ignore the significance of uncertainty information and comprehensive evaluation concerning air pollutants...
January 23, 2017: Environmental Pollution
https://www.readbyqxmd.com/read/28117654/fuzzy-fishnet-a-highly-reproducible-protein-complex-based-approach-for-feature-selection-in-comparative-proteomics
#20
Wilson Wen Bin Goh
BACKGROUND: The hypergeometric enrichment analysis approach typically fares poorly in feature-selection stability due to its upstream reliance on the t-test to generate differential protein lists before testing for enrichment on a protein complex, subnetwork or gene group. METHODS: Swapping the t-test in favour of a fuzzy rank-based weight system similar to that used in network-based methods like Quantitative Proteomics Signature Profiling (QPSP), Fuzzy SubNets (FSNET) and paired FSNET (PFSNET) produces dramatic improvements...
December 5, 2016: BMC Medical Genomics
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