Changes and continuous progress in logistics and productive systems make the realization of improvements in decision making necessary. Simulation is a good support tool for this type of decisions because it allows reproducing processes virtually to study their behavior, to analyze the impact of possible changes or to compare different design alternatives without the high cost of scale experiments. Although process simulation is usually focused on industrial processes, over the last two decades,

Machine learning has two phases: training and testing. In the training phase, a set of examples (i.e., data with their corresponding labels) are available. With a given machine learning algorithm, the example data are used to train a model (i.e., tune its parameters) so that it can identify the relationship between input data and the labels. In the testing phase, input data without labels go through the same methodology as the training phase for preprocessing, feature extraction, and feature red

Thousands use websites at some point of time for other. Cloud has limitation in maintaining load obtained from all demands at time any point of time. It results in destroy of the entire network. It is the process in which computing resources and workloads are distributed to more than one server. Workload is divided between two or more servers, hard drives, system interface and other computing resources resulting in good use and system response time. A huge traffic web site requires a high powerf

This paper includes the detail study of many techniques that have been found useful and important during the time of data cleaning process as well as consolidating the data quality in databases. For Instance, existing classification of dirty data types from the literature will be reviewed to present the multiple dirty data types observed in different data sources. Data cleaning methods, Data quality, data quality dimensions are reviewed in this chapter. They provide the foundation of development of the proposed data cleaning framework.

One of the main issues today is the drug addiction among young people in the Haryana valley. The same is true for drug addiction treatment. With this essay, an effort has been made to learn more about how much people in the Haryana valley are aware of the problem of addiction, how to address it, and which organisations and agencies are available to help treat or rehabilitate drug users there. The Ministry of Health and Family Welfare of the Government of India launched the Drug De-addiction Programmed (DDAP) in 1988 with the goal of treating SUDs. De-addiction centres (DACs) have been established in government hospitals through the DDAP, with the central government paying a one-time financial grant and the state governments covering ongoing costs. The creation of a "drug abuse monitoring system" to track drug use patterns and user profiles among those seeking treatment in DACs is another important area of work. The results of monitoring and evaluation procedures indicate that the current system of inpatient care and shared accountability between the federal and state governments is only partially successful.

Connecting rods are essential parts that transform the piston's linear motion into the crankshaft's rotational motion in diesel engines. Engine performance and lifetime are greatly impacted by the severe mechanical stresses that these rods are subjected to, including tensile, compressive, and bending pressures. Improvements in design and manufacturing processes are required as diesel engines develop because of the growing need for connecting rods that are stronger, lighter, and more resilient. Key areas for improvement in the design and stress analysis of connecting rods for diesel engines are examined in this research. These include material selection, geometric optimization, and cutting-edge manufacturing techniques including precision casting and 3D printing. The study also emphasizes how crucial it is to use sophisticated stress and fatigue analysis, especially Finite Element Analysis (FEA), in order to anticipate and lessen possible failure modes. The study highlights how these developments might increase the performance of connecting rods, lower weight, increase fuel efficiency, and prolong the life of diesel engines.

This study investigates the impact of lubricant nozzle geometry on temperature reduction in machining processes, with a focus on optimizing heat dissipation and improving machining efficiency. The experiment was conducted using Aluminum Alloy 6061 as the workpiece material and a tungsten carbide insert as the cutting tool. Three distinct nozzle geometries—straight circular, fan-shaped, and multi-jet—were evaluated for their coolant distribution effectiveness and ability to reduce temperature at the tool-workpiece interface. The machining parameters were set as cutting speed of 350 m/min, feed rate of 0.25 mm/rev, and depth of cut of 2.5 mm, with a coolant flow rate of 6 L/min. Temperature measurements were recorded using thermocouples, and the results revealed that the multi-jet nozzle achieved the highest temperature reduction (13.33%), followed by the fan-shaped nozzle (8.00%), and the circular nozzle (baseline). In terms of coolant dispersion, the multi-jet nozzle showed the most efficient distribution, ensuring uniform cooling across the cutting zone. Additionally, tool wear analysis indicated that the multi-jet nozzle significantly reduced tool wear (31.82%) compared to the circular nozzle. These findings highlight the superior cooling performance and reduced thermal stress achieved with multi-jet nozzle designs, demonstrating their potential for enhancing machining efficiency. This research emphasizes the importance of nozzle geometry selection in thermal management and suggests future exploration into dynamic nozzle designs for real-time coolant optimization.

This study analyzes the structural and thermal performance of disc brakes using finite element analysis (FEA). Various materials, including cast iron, stainless steel, aluminum, Ti–6Al–4V, and aluminum metal matrix composite (AMC), were evaluated for stress, deformation, heat dissipation, and strength. Results show cast iron excels in stress handling, stainless steel in deformation resistance, and aluminum in heat dissipation but lacks strength. Ti-alloy offers promising tribological properties, while AMC reduces rotor weight by 50% and energy consumption by 19%. Optimized designs improve braking efficiency by 15% and reduce weight by 10%. The findings provide insights for future research and automotive brake design improvements.

The long-term of early intervention in infants at risk for developmental disorders is unclear. The VIP project (n=46, originally) evaluated by means of a randomized controlled trial the effect of the family centered early intervention programme COPCA (Coping with and caring for infants with special needs) in comparison to that of traditional infant physiotherapy (TIP). To evaluate the effect of early intervention on functional outcome at school age. Parents of 40 children (median age 8.3 years) participated in this follow-up study. Outcome was assessed with a standardized parental interview (Vineland Adaptive Behavior Scale) and questionnaires (Developmental Coordination Disorder Questionnaire, Child Behaviour Checklist, and questions on educational approach). Quantified video information on physiotherapeutic actions during infancy as available.

Indian education system is strongly influenced by the religious systems and few have their own indigenous approach which serve as a foundation for secondary and higher education. The current paper attempts to comprehend how these institutions have played a role in formalisation of education at secondary school system through an overview ancient, medieval, colonial and post independent periods. The present paper aims to bring out common thread as well as differences in approach towards secondary and higher education and how over a period, formalisation of education have subjected to changes in responses to merits and demerits, respectively.