Noel Cressie and Christopher WikleHardcover: 624 pagesYear: 2011Publisher: John WileyISBN-13: 978-0471692744Here is the new reference book about spatial and spatio-temporal statistical modeling! No...

Statistics for Spatio-Temporal Data

Preface. Automatic Train Operation System by Predictive Fuzzy Control (S. Yasunobu, S. Miyamoto). Application of Fuzzy Reasoning to the Water Purification Process (O. Yagashita, O. Itoh, M. Sugeno). The Application of a Fuzzy Controller to the Control of a Multi-Degree-of-Freedom Robot Arm (E.M. Scharf, N.J. Mandic). Optimizing Control of a Diesel Engine (Y. Murayama et al.). Development of Performance Adaptive Fuzzy Controllers with Application to Continuous Casting Plants (G. Bartolini et al.). A Fuzzy Logic Controller for Aircraft Flight Control (L.I. Larkin). Automobile Speed Control System Using a Fuzzy Logic Controller (S. Murakami, M. Maeda). An Experimental Study on Fuzzy Parking Control Using a Model Car (M. Sugeno, K. Murakami). A Fuzzy Controller in Turning Process Automation (Y. Sakai, K. Ohkusa). Design of Fuzzy Control Algorithms with the Aid of Fuzzy Models (W. Pedrycz). Human Operator's Fuzzy Model in Man-Machine System with a Nonlinear Controlled Object (K. Matsushima, H. Sugiyama). The Influence of Some Parameters on the Accuracy of a Fuzzy Model (J.B. Kiszka, M.E. Kochanska, D.S. Sliwinska). A Microprocessor Based Fuzzy Controller for Industrial Purposes (T. Yamazaki, M. Sugeno). The Application of Fuzzy and Artificial Intelligence Methods in the Building of a Blast Furnace Smelting Process Model (H. Zhao, M. Ma). An Annotated Bibliography of Fuzzy Control (R.M. Tong).

Industrial applications of fuzzy control

Problem Given the number of times in which an unknown event has happened and failed: Required the chance that the probability of its happening in a single trial lies somewhere between any two degrees of probability that can be named. SECTION 1 Definition 1. Several events are inconsistent, when if one of them happens, none of the rest can. 2. Two events are contrary when one, or other of them must; and both together cannot happen. 3. An event is said to fail, when it cannot happen; or, which comes to the same thing, when its contrary has happened. 4. An event is said to be determined when it has either happened or failed. 5. The probability of any event is the ratio between the value at which an expectation depending on the happening of the event ought to be computed, and the value of the thing expected upon it’s 2 happening.

An essay towards solving a problem in the doctrine of chances. [Facsimil]

The fifth edition of this classic publication is better and more useful than ever. Its format remains the same, but now the published case reports with the inclusion of clinical experimental research articles expand its role as a reference book and make it doubly effective and valuable. All sections have been enlarged and updated. For example, Section II, "Ingredients Index," has been increased from 273 pages to 460 pages, offering a comprehensive listing and toxicity review of individual product ingredients. This and the "General Formulations" section, which lists in alphabetical order the numerous products and agents commonly found in households and on farms, give ready information and potential ingredient toxicity of the more common products that are involved in accidental and willful poisoning in the United States. Such information is urgently needed in emergencies, when specific product details are required for proper treatment. The latter can be found in Section

Clinical Toxicology of Commercial Products

Improving prediction of water quality indices using novel hybrid machine-learning algorithms.

The quality of water of the river has a significant impact on human population and livestock in basin area. Six water quality indicators are monitored from the gauging stations of Brahmani River to assess the changing trends in the quality of water. The conventional Aggregative Index Evaluation method is applied to know the overall water quality index for its intended use. Further, in this study, Bayes’ rule is applied for comprehensive assessment. The likelihood estimates are obtained from the normal distribution and is pre-owned for posterior probability calculation through Bayes’ rule. Finally, the indicator weights are estimated by Shannon’s entropy weight method. The consequences of analysis specified that the indicator, CODMn, is affecting the quality of water more in Panposh downstream. Biological oxygen demand, TA as CaCO3, NH4–N and Nitrate-N are closely related to domestic pollution and agricultural non-point source pollution. The overall quality of water is improved during dry seasons than duri...

Evaluation of water quality with application of Bayes' rule and entropy weight method

Inference of Water Quality Index Using ANFIA and PCA

India is bestowed with huge amount of surface water resources. However, India lacks the quality monitoring of surface water and comprehensive management for sustainable surface water development. A new approach for indexing has been proposed to represent pollution due to heavy metals in surface water. Heavy metal pollution indices (m-HPI) for 60 surface water samples in the peninsular stretch were evaluated during pre-drought, drought and post-drought condition. The Index will be represented by a Positive Index (PI) and a Negative Index (NI), where PI represents the level pollution exceeding the maximum desirable limit and NI reflects the index within the required limit. The PI is assigned as 0 when indicators are present below the detection limit or equal to the maximum required limit. However, the value calculated for NI could be 0 to -1 when the indicators are equal to or less than the suggested maximum desirable limit, and the value could be -1 when the indicators are present below the suggested detection limit. The spatiotemporal variation of water quality pattern was studied by the interpolation maps extracted from ArcGIS. The results are compared with WHO standard to validate the drinking water quality. The calculated indices indicated the suitability of water for domestic and irrigation purposes. The developed indexing system is user friendly, robust, flexible and may evaluate the index considering any water quality standard.

Modified heavy metal Pollution index (m-HPI) for surface water Quality in river basins, India

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease represents the causative agent with a potentially fatal risk which is having great global human health concern. Earlier studies suggested that air pollutants and meteorological factors were considered as the risk factors for acute respiratory infection, which carries harmful pathogens and affects the immunity. The study intended to explore the correlation between air pollutants, meteorological factors, and the daily reported infected cases caused by novel coronavirus in India. The daily positive infected cases, concentrations of air pollutants, and meteorological factors in 288 districts were collected from January 30, 2020, to April 23, 2020, in India. Spearman's correlation and generalized additive model (GAM) were applied to investigate the correlations of four air pollutants (PM2.5, PM10, NO2, and SO2) and eight meteorological factors (Temp, DTR, RH, AH, AP, RF, WS, and WD) with COVID-19-infected cases. The study indicated that a 10 μg/m3 increase during (Lag0-14) in PM2.5, PM10, and NO2 resulted in 2.21% (95%CI: 1.13 to 3.29), 2.67% (95% CI: 0.33 to 5.01), and 4.56 (95% CI: 2.22 to 6.90) increase in daily counts of Coronavirus Disease 2019 (COVID 19)-infected cases respectively. However, only 1 unit increase in meteorological factor levels in case of daily mean temperature and DTR during (Lag0-14) associated with 3.78% (95%CI: 1.81 to 5.75) and 1.82% (95% CI: -1.74 to 5.38) rise of COVID-19-infected cases respectively. In addition, SO2 and relative humidity were negatively associated with COVID-19-infected cases at Lag0-14 with decrease of 7.23% (95% CI: -10.99 to -3.47) and 1.11% (95% CI: -3.45 to 1.23) for SO2 and for relative humidity respectively. The study recommended that there are significant correlations between air pollutants and meteorological factors with COVID-19-infected cases, which substantially explain the effect of national lockdown and suggested positive implications for control and prevention of the spread of SARS-CoV-2 disease.

/pdf/significance-between-air-pollutants-meteorological-factors-4f4dk6noh3.pdf

Significance between air pollutants, meteorological factors, and COVID-19 infections: probable evidences in India.

Similarity between catchments in a region can be determined depending on catchment properties. This helps to understand the response behavior of the similar catchments more appropriately. Catchment classification plays a major role in the process of hydrological prediction in the case of ungauged catchments. The following categorization was carried out for 32 catchments of India. Principal Component Analysis (PCA) along with K-means clustering, was applied as linear classification; and Self-Organizing Map (SOM) and Kernel Principal Component Analysis (KPCA) were implemented as nonlinear classification methods on catchment attributes and daily streamflow time series. The classification established on streamflow signatures was taken as the reference classification. Results obtained from PCA, SOM, and KPCA were compared with results of the reference classification. The absence of discordant catchments from the clusters of SOM, based on catchment attributes, suggests homogeneity among SOM-derived clus...

Mrunmayee Manjari Sahoo

Papers

Evaluation of water quality with application of Bayes' rule and entropy weight method

Inference of Water Quality Index Using ANFIA and PCA

Modified heavy metal Pollution index (m-HPI) for surface water Quality in river basins, India

Significance between air pollutants, meteorological factors, and COVID-19 infections: probable evidences in India.

Homogeneous region determination using linear and nonlinear techniques