Water quality has become a severe concern on a global scale, owing mostly to the rapid increase of the nation's development. According to Malaysia's Natural Resources and Environment Ministry, poor water management is the primary cause of the country's water quality problems. Many river systems are polluted by home and industrial pollutants, according to the findings of research in Malaysia and comparable difficulties in a few other nations. Hence, the following are the research's goals: (1) To look into what is causing the infractions. (2) To undertake the inquiry, develop a thorough hypothesis. (3) To detect dangerous germs by sampling the most usually infected regions. (4) To develop a test for Total Coliform violations in chlorine-treated water at the water treatment plant and in water distribution systems. As a result, the most major barrier to ensuring the safe delivery of treated water to consumers and protecting human health from water-related diseases is the drinking water treatment process. As a result, practically all water treatment systems around the world, including those in the USA, use a chlorine-based procedure to disinfect the water system during treatment. According to studies, the ideal way of disinfecting treated water is both safe and beneficial. Any sort of pandemic or biologically caused disease has no societal implications. Many countries began to suffer in 2009 as a result of e-coli and total coliform contamination in their water systems, leading to ambiguity in disinfection methods. Some water from UNMC's coolers was within the guidelines, while some exceed them. Water coolers at Block E (614 m) and Block B (605 m), for example, measured 12 CFU/100 ml and 11 CFU/100 ml, respectively. Water coolers should be cleaned regularly to ensure that they perform correctly. Further, the microbial population was found to be higher at water storage tanks than that is at the water cooler. This demonstrates how a water cooler fulfils its purpose of filtering and trapping germs to provide clean drinking water.

AUTOM is an acronym given to a commercially designed automatic waste disposal master tool for medical laboratories and clinical waste separation through this research study. In this research, a fuzzy rule-based system is designed which can segregate 24 different waste types which are selected from 8 more common medical waste groups. In the proposed system, after capturing each frame some pre-processing operations are done, features are extracted, fuzzy parameters, fuzzy terms and fuzzy rules are determined and finally a rule with a maximum certification degree is fired. In the designed fuzzy rule-based system 24 roles corresponding to the 24 detectable objects exist, 14 fuzzy parameters are defined, and a maximum of 3 fuzzy terms for each fuzzy parameter have been considered. The system is flexible on different light conditions, view degree of the camera, and 360° object rotation. Our experiments on a real environment and using both new and used wastes have shown up to 94% of better performance of the system developed.

Classical discrete mathematics could not model complex and uncertain systems effectively. These discrete mathematical equations can be replaced by a method of fuzzy logic systems wherein the operational laws are expressed in linguistic terms. Fuzzy logic means it is the form of knowledge acquisition to be suitable for notions that cannot be defined as precisely as discrete mathematics would do. But it depends upon their context, knowledge acquisition to enable the computerized devices to think like humans. The Matlab was employed to develop the operation model of the Vaigai reservoir which is in South India. Fuzzy logic control was successfully found to be a logical way for mapping between input and output variables of the operation of a reservoir. The objective of the study was to capture the experience gained over past years of operation of the Vaigai system so that the experiential knowledge was made available to the operator for assisting him inefficient management of the reservoir. The data mining helped to develop an improved database for heuristic models such as the non-crisp model for deriving an effective monthly operational policy for Vaigai reservoir.