A Study on Impact of Covid-19 Pandemic across the World

Pallavi, D R; Ramachandran, M; Vimala, Saravanan; Sowmiya, S; Anusuya, Periyasamy

doi:10.46632/psr/1/1/2

Cited by 6 publications

(1 citation statement)

References 31 publications

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“…The GRA approach became at the start developed employing Deng and efficaciously applied to multi-attribute selectionmaking issues as a part of the grey gadget concept, GRA is suitable for fixing issues of complex relationships among Several factors in the current literature and variables. Various A kind of GRA technique is proposed for this have a look, we introduce an easy and green GRA approach [14].Gray Relational Analysis (GRA) is an MCDM that helps with problems a tool and was first proposed with the aid of Deng. It has been correctly utilized in fixing diverse MCTM problems.…”

Section: Gray Relational Analysis (Gra)mentioning

confidence: 99%

Analysis of heterogeneous and distributed manufacturing environment using Gray Relational Analysis (GRA) Method

Nishanth¹,

Swethana²

2022

jame

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Manufacturing Environment Production of one or more products Dedicated production lines to do or areas. Convenience stores stock items that can manufacture or have them made to order, only if requested by the buyer. The objective of this thesis Finding the best cleaning location Manufacturing Environment or Gray Relational Analysis (GRA) method showing. GRA (Gray Relational Analysis) Method, Cincinnati Milagron T3-726, Cybotech V15 Electric Robot, Hitachi America Process Robot, Unimation PUMA 500/600, United States Robots Maker 110 Alternatives or Load Capacity, Computational Steps for Solving Repeatable Multi-Attribute Decision-Making Problems Node Speed, Memory Capacity, the evaluation parameters reached by the handler The United States Robots Maker 110is got the first rank whereas the Hitachi America Process Robot is having the lowest rank. In this paper Manufacturing Environment United States Robots Maker 110is got the first rank whereas the Hitachi America Process Robot is having the lowest rank

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Section: Gray Relational Analysis (Gra)mentioning

confidence: 99%

Analysis of heterogeneous and distributed manufacturing environment using Gray Relational Analysis (GRA) Method

Nishanth¹,

Swethana²

2022

jame

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Big Data Analytics for Mobility Prediction and Its Classification

Kurinjimalar¹,

Ramachandran²,

Vimala³

et al. 2022

Data Analytics and Artificial Intelligence

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Kern forecasting is the detection of which customers may leave a service or cancel a subscription for a service. This is an important forecast for many businesses because gaining new customers will cost more than retaining existing customers. The Retail Banking Seer Forecast is an AI-based model that helps customers assess the likelihood of your bank being blocked. Odor is a good indicator of growth. By comparing and analyzing these two metrics that monitor lost customers, and growth rates, new customers, Kern rates accurately tell you how much your business is growing over time. If growth is greater than recession, you can say that your business is growing. With increasing skill requirements and requirements for quality of experience, mobility forecasting has become widely used for mobile communication and has become one of the key processors that use historical transport information to predict the future locations of traffic users. Predictive maintenance refers to the use of data-driven, efficient maintenance methods, via designed to analyze the Status and maintenance of equipment When Predict what needs to be done. Forecasting maintenance is a type of maintenance that directly monitors the health, condition and performance of an asset in real time. Predictive maintenance is aimed at minimizing costly and unexpected breakdowns and gives the manufacturer the opportunity to plan maintenance around their own production schedule. Some examples of the use of forecast maintenance and forecast maintenance sensors include vibration analysis, oil analysis, Includes thermal imaging and equipment monitoring. This approach guarantees cost of savings in routine or time-based preventive maintenance, due to the tasks are only done when guaranteed. Predictive maintenance techniques to determine the condition of equipment in service Designed to help and evaluate when maintenance should be done. Big Data Analytics is structured, semi-structured, Is the use of advanced analytical techniques against very large, diverse datasets. and an unstructured data of various sizes ranging from different sources to terabytes to zeta bytes. Choosing a career in the field of big data and Analytics can be an exciting career endeavor, and it can be the type of role you are trying to find. Machine learning (ML) is a prediction that considers large-scale multidimensional data from a variety of sources allows you to create models. Several studies have been conducted on the use of ML algorithms to predict road traffic. Traffic forecast is floating car data and traffic flow, average traffic speed and based on historical traffic data such as traffic events The task is to predict real-time traffic information.

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An Overview of Network Robot System and Its Applications

Vimala¹,

Ramachandran²,

Vidhya³

2022

dmfar

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A robot capable of performing multiple tasks is a multi-purpose device with one or more arms and joints. Robots are similar to humans, but industrial robots do not resemble humans. Any machine that operates automatically that modifies human effort is a robot that does not look or resemble humans in appearance or perform human-like functions. In a nutshell, The full layout of ROBOT consists of a movable body system, a motor, which controls all of these organs is the "brain". Basically, the engineering department handles construction and operation. Reflect the behavior of humans and animals. Robotics, layout, production and use of machines (robots) to perform responsibilities traditionally carried out by humans. Robots are extensively used in industries which include automotive manufacturing, and in industries that require them to perform easy obligations and work in hazardous environments. The six most common kinds of robots are self sustaining cellular robots (AMRs), automatic guided motors (AGVs), exposed robots, human figures, robots and hybrids. Are robots used to power performance, speed up procedures, enhance safety, and enhance experience in more than one industry. One of the key factors controlling how an industrial robot moves and its workplace is its robot structure. There are six main types of robot structures: Cartesian, cylindrical, spherical, and selectively compatible articulated robotic arm (SCARA). Articulate, and the delta (parallel) is a human-like machine and the machine performs routine tasks according to command. A person who acts mechanically, routinely and responsibly, usually subject to the will of another; Automatic. Robots are often controlled wirelessly or autonomously using tether (wire). The easiest way to control a robot is to use a hand-held controller that is physically attached to the robot using wires or cable. What are robotics and robotics? A robot is Any device that transforms human effort, although it no longer appears like someone in look or perform the same capabilities as someone. As a discipline, Robotics offers the layout, construction and operation of robots.

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A Study on Impact of Covid-19 Pandemic across the World

Cited by 6 publications

References 31 publications

Analysis of heterogeneous and distributed manufacturing environment using Gray Relational Analysis (GRA) Method

Analysis of heterogeneous and distributed manufacturing environment using Gray Relational Analysis (GRA) Method

Big Data Analytics for Mobility Prediction and Its Classification

An Overview of Network Robot System and Its Applications

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