243 resources related to Alcoholic beverages
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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
Science, technology and applications spanning the millimeter-waves, terahertz and infrared spectral regions
modeling, simulation and applied optimization of processes and systems.
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
The IEEE Region 9 is releasing the IEEE Latin America Transactions to enable the publication of non-published and technically excellent papers from Latin American engineers, in Spanish or Portuguese languages. Engineers and researchers from Portugal and Spain (and others countries with the same language) are also very welcome to submit their proposals.
All aspects of optical guided-wave science, technology, and engineering in the areas of fiber and cable technologies; active and passive guided-wave componentry (light sources, detectors, repeaters, switches, fiber sensors, etc.); integrated optics and optoelectronics; systems and subsystems; new applications; and unique field trials.
2009 ETP International Conference on Future Computer and Communication, 2009
Changing of brain resulting from brainfag is discussed in this paper. According to the system cluster analysis on EEG data of the subjects, we can get the methods of estimating brain fatigue. Moreover, this study also provides us the theoretical basis and some basic experimental evidence to make a scientific forecast of brainfag. Twelve right-handed, no-smoking healthy subjects took part ...
7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002., 2002
Two common artifacts that corrupt evoked responses are noise and background electroencephalogram (EEG). In this paper, a two-level principal component analysis (PCA) is used to reduce these artifacts from single trial evoked responses. The first level PCA is applied to reduce noise from these VEP signals while the second level PCA reduces EEG. The method is used to analyse the ...
2017 International Conference on Intelligent Computing and Control (I2C2), 2017
Present days, the technology has emerged in such a way that it can provide solutions to any real life problems. One such solution to the problem of collecting toll payments efficiently is RFID. When a vehicle passes through the toll gate, by using RFID the vehicle can be detected easily and the amount will be deducted from the user's prepaid ...
2016 International Conference on Circuits, Controls, Communications and Computing (I4C), 2016
In this paper, the effect of alcohol on visual event related potentials (visual ERPs) of 61-channel electroencephalogram (EEG) is investigated using Spectral Entropy (SE) parameters in beta band (13-28Hz). The Repeated Measures Anova (RMANOVA) test is used to determine within group and between group variability of SE values in (61 channels) various specified regions of the brain during a visual ...
Proceedings of the International Conference on Multimedia Computing and Systems, 1995
Nearly 14% of American adults have met the DSM-III-R (Diagnostic and Statistical Manual of Mental Disorders, 3rd Edition, Revised) criteria for lifetime alcohol abuse or dependence. Although it has been estimated that 20% of patients visiting physicians qualify for an alcoholic diagnosis, the early stages of excessive drinking often remain unrecognized in general medical practice and in hospitals due to ...
Changing of brain resulting from brainfag is discussed in this paper. According to the system cluster analysis on EEG data of the subjects, we can get the methods of estimating brain fatigue. Moreover, this study also provides us the theoretical basis and some basic experimental evidence to make a scientific forecast of brainfag. Twelve right-handed, no-smoking healthy subjects took part in the study. There are many events that can trigger the brainfag, so we did different experiments that included closing eyes, ingesting some alcohol, counting and hearing. EEG data were recorded with the international 10/20 system, and then we use clustering method to analyze the EEG data. The method of analysis is system cluster analysis analysis. Processing and statistic analysis of EEG data has performed using EEG analysis toolbox and program of system cluster analysis. After EEG signal analysis, we found that the electrodes were separated into three clusters located in frontal & central area, occipital area and temporal area in the normal state. Most electrodes in frontal, central and occipital area got together and formed into a cluster after they ingested some alcohol, and then the cluster separated gradually with the increase of ingesting alcohol. After counting, the EEG signal from left-brain was very different from signals from right- brain and the clusters mostly were distributed longitudinally. After hearing, the EEG signal from left-brain was also different from signals from right- brain and the result of clustering was the same as counting. All the phenomenons tell us that A little alcohol can strong the relatives of subjectspsila frontal and occipital head EEG signal. At the same time, due to alpha rhythm is a stronger part between 4 Hz and 30 Hz, alpha rhythm is gradually enhanced and the area of alpha rhythm is expanded after alcohol ingestion, however, the cluster separated gradually with the increase of ingesting alcohol. This indicate that too much drinking maybe lead to the decrease of equilibrium, stability between the parts of brain and the increase of containment procedure and brainfag. The left brain is in charge of counting and comprehension of language, so the left brain was in the state of fatigue during counting and hearing. The change led to the correlation weakening between brainpsilas left area and right area and then longitudinal distribution of the clusters appeared.
Two common artifacts that corrupt evoked responses are noise and background electroencephalogram (EEG). In this paper, a two-level principal component analysis (PCA) is used to reduce these artifacts from single trial evoked responses. The first level PCA is applied to reduce noise from these VEP signals while the second level PCA reduces EEG. The method is used to analyse the object recognition and decision-making capability during visual responses. The analysis is extended to study the differences in visual response between alcoholics and non-alcoholics using single trial P3 visual evoked potential (VEP) signals. The analysis shows that alcoholics respond slower and weaker to visual stimulus as compared to non-alcoholics.
Present days, the technology has emerged in such a way that it can provide solutions to any real life problems. One such solution to the problem of collecting toll payments efficiently is RFID. When a vehicle passes through the toll gate, by using RFID the vehicle can be detected easily and the amount will be deducted from the user's prepaid account automatically. In order to detect the drunken drivers, Alcohol sensor (MQ135) is fixed near the driver steering. If the alcohol consumed by the driver exceeds the limit detected by sensors automatically accelerometer reduces the speed. The load detector fixed at the toll gates checks the load of heavy vehicles if load exceeds the limit, the barrier remains closed and the camera captures a snap of the vehicle. And also the notification will be sent to the consignment officer for registering complaint against the vehicle and also penalty amount will be deducted from the owner's account.
In this paper, the effect of alcohol on visual event related potentials (visual ERPs) of 61-channel electroencephalogram (EEG) is investigated using Spectral Entropy (SE) parameters in beta band (13-28Hz). The Repeated Measures Anova (RMANOVA) test is used to determine within group and between group variability of SE values in (61 channels) various specified regions of the brain during a visual single object recognition task. In order to discriminate visual ERPs produced in alcoholics and controls within the beta band, SE features are applied to a k-NN classifier. RMANOVA tests show that there is little statistical significance (p>0.05) as far as the marginal mean between groups is considered. However, the marginal mean variability within group indicates that there are some selected channels in which the statistical significance is observed (p<;0.05). The classification results show that k-NN classification achieves 90.41% accuracy with k=8. It is also observed that the mean of spectral entropy values increase mainly in the left frontal region of the brain in alcoholics as compared to controls.
Nearly 14% of American adults have met the DSM-III-R (Diagnostic and Statistical Manual of Mental Disorders, 3rd Edition, Revised) criteria for lifetime alcohol abuse or dependence. Although it has been estimated that 20% of patients visiting physicians qualify for an alcoholic diagnosis, the early stages of excessive drinking often remain unrecognized in general medical practice and in hospitals due to inadequate training and erroneous stereotyping. To address this problem, the American Research Corporation of Virginia (ARCOVA) is developing the Interactive Multimedia Program for Alcoholism Assessment and Counseling Training (IMPACT), a combination of audiovisual media and programmed interaction for the teaching of alcoholism management skills to physicians and nurses at both the student and professional levels. The hallmark of this program is a role-play activity with patient personalities simulated by digital audio and video that will respond to questions posed by the user.
In various societies, alcoholic beverages are widely used. A good and healthy lifestyle can be leaded if the consumption of alcohol is minimal and occasional. However, with the over intake of alcohol, it disturbs the decision making process of the person and it leads to severe mental, physical and emotional health problems. The alcohol detection level is important to determine the person's capability to do a particular job. In this paper, Softmax Discriminant Classifier (SDC) is employed to detect the risk level of a single chronic alcoholic patient from Electroencephalography (EEG) Signals. Results show that an average Perfect Classification rate of 72.70%, an average Performance Index of 62.00% along with an average classification accuracy of about 86.35% is obtained.
This paper investigates the brewing process and sensory evaluation of Japanese sake by using the analytic hierarchy process (AHP). Every brewer of Japanese sake has his own policy to develop many brands of sake with various kinds of sake quality, putting different sales prices on them. Every sake brewing expert establishes his own techniques of brewing each brand of sake taking into considerations the manager's policies. In this paper, various estimations are given using AHP on both the primary brewing factor and primary quality factor of Japanese sake. This leads to a possibility of quantifying some brewing policies and expertise that the manager and the expert have in mind. Some new considerations on Japanese sake quality and its brewing process are thus given.
Background EEG power effects of a cumulative dose of alcohol were investigated as subjects drank three glasses of alcoholic, 1 h apart. Subjects completed a task battery composed of digit span tests, 3 min each of eyes-open and eyes- closed resting EEG, and two blocks of an auditory N-back working memory task for measuring brain function of different segmental features in monosyllabic Thai words. The changes in cognitive effort caused by the difficulty manipulation in the N-back task were reflected in specific EEG signals. Measuring EEG activity before and after alcohol consumption, during the performance of difficulty manipulation in N-back task of working memory indicate that neuronal populations needed for working memory processing were less available after alcohol consumption because of increased background oscillatory activity as evidenced by increased background EEG power.
Cane molasses, a major byproduct in the sugar industry, is generally consumed for alcohol production. However, the alcohol production process needs to overcome three major challenges including increasing the productivity of alcohol fermentation, lowering the energy consumption for alcohol conversion and decreasing the environmental pollution caused by the alcoholic yeast fermentation process. To meet these challenges, a screening process was conducted using 13 high osmotic tolerant yeast strains. Among the strains, a Saccharomyces cerevisiae strain 1912 was found to produce high alcohol concentrations during fermentation with high starting molasses concentrations such as 50% (WIV) molasses. In the test, 13.6% (V IV) alcohol was produced in the molasses fermentation broth after 72 h of incubation with an initial Yunnan molasses concentration of 50% in a 5 L fermentor. 15. 0% (V IV) alcohol was obtained after 48 h of fermentation in shaking flasks containing 30% (WIV) initial total sugar concentration in diluted molasses. The performance of this strain in the shaking flasks was successfully scaled up to a 5-L fermentor vessel. Strain 1912 seems to be a better alcohol producer than the currently used alcohol production strain 2. 1190.
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