Pesticides in Drinking Water and Public Health: Modeling Using Artificial Intelligence Techniques

Abstract-- With increase in complexity of data, security, it is difficult for the individuals to prevent the offence. Thus, by using any automation or software it’s not possible by only using huge fixed algorithms to overcome this. Thus, we need to look for something which is robust and feasible enough. Hence AI plays an epitome role to defense such violations. In this paper we basically look how human reasoning along with AI can be applied to uplift cyber security.

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Interpretation of the impact parameter of acid-base status and electrolytes in blood gas analysis in the pulmonary system using artificial intelligence techniques

Computer Science and Systems Engineering ◽

10.2495/csse140691 ◽

2015 ◽

Author(s):

E. Beganović ◽

Z. Avdagić ◽

S. Omanović

Keyword(s):

Artificial Intelligence ◽

Impact Parameter ◽

Blood Gas Analysis ◽

Gas Analysis ◽

Blood Gas ◽

Acid Base ◽

Artificial Intelligence Techniques ◽

Pulmonary System ◽

Acid Base Status ◽

The Impact

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SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v2i1.916 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Siti Nurhena ◽

Nelly Astuti Hasibuan ◽

Kurnia Ulfa

Keyword(s):

Artificial Intelligence ◽

Immune System ◽

Expert System ◽

Expert Systems ◽

Dengue Hemorrhagic Fever ◽

Hemorrhagic Fever ◽

Visual Basic ◽

Artificial Intelligence Techniques ◽

Individual Needs ◽

Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

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Use of Artificial Intelligence Techniques in the Prediction of the Pre and Asymptomatic Patient to COVID-19

SSRN Electronic Journal ◽

10.2139/ssrn.3633197 ◽

2020 ◽

Author(s):

Efain Pantaleón-Matamoros ◽

Isabelle Ribeiro Barbosa Mirabal ◽

Orivaldo Vieira de Santana Júnior ◽

Douglas de Souza Carvalho ◽

Efrain Marcelo Pulgar Pantaleón ◽

...

Keyword(s):

Artificial Intelligence ◽

Asymptomatic Patient ◽

Artificial Intelligence Techniques

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The effect of distribution system biofilm bacteria on copper concentrations in drinking water

Water Science & Technology Water Supply ◽

10.2166/ws.2002.0038 ◽

2002 ◽

Vol 2 (1) ◽

pp. 319-324

Author(s):

M.M. Critchley ◽

N.J. Cromar ◽

N. McClure ◽

H.J. Fallowfield

Keyword(s):

Public Health ◽

Drinking Water ◽

Distribution System ◽

Xanthomonas Maltophilia ◽

Biofilm Bacteria ◽

Rhodococcus Sp

This study investigated the potential for distribution system biofilm bacteria to elevate copper concentrations in drinking water. Biofilms were sampled from household copper reticulation pipes and grown on R2A agar. Laboratory coupon experiments were used to determine the effect of single isolate biofilms on aqueous copper concentrations. The majority of biofilm bacteria did not affect copper concentrations in comparison to sterile controls. However, several bacteria including Acidovorax delafieldii, Cytophaga johnsonae and Micrococcus kristinae were shown to significantly elevate copper concentrations in drinking water. In contrast, the bacteria Rhodococcus sp. and Xanthomonas maltophilia were shown to significantly decrease copper levels in comparison to controls. The significance of biofilm bacteria to increase copper concentrations in drinking water has implications for public health by increasing concentrations to levels toxic to humans.

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THE VALUE OF ORGANOLEPTIC INDICATORS OF DRINKING WATER THE ROSTOV REGION, AS FACTORS OF THE EPIDEMIC SAFETY OF POPULATION HEALTH

Биосферная совместимость: человек, регион, технологии ◽

10.21869/23-11-1518-2019-26-2-24-34 ◽

2019 ◽

pp. 24-34

Author(s):

Timur Khetsuriani ◽

Elena Chaplygina ◽

Tatyana Zhukova ◽

Elgudzha Khetsuriani

Keyword(s):

Public Health ◽

Drinking Water ◽

Green Algae ◽

Experimental Studies ◽

Environmental Safety ◽

Blue Green Algae ◽

Rostov Region ◽

Organoleptic Characteristics ◽

Aesthetic Appearance ◽

Mass Development

The article presents an overview of the mass development of cyanobacteria (blue-green algae) in the don river of the Rostov region, which leads to the phenomenon, received in the literature the name of harmful “flowering” of water. The harmfulness of the mass development of cyanobacteria is changes in organoleptic characteristics of drinking water, which lead to the production of a large number of dangerous to human health and animal toxins, to reduce water quality, violation of the aesthetic appearance of the reservoir, the loss of useful human properties of the aquatic ecosystem and are factors of epidemic safety of public health. Experimental studies of the properties of cyanobacteria and toxins produced by blue-green algae are pre-sented. The first studies were carried out at the pilot plant on the technology of purification of flowering don water to ensure environmental safety of drinking water and public health.

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