Volume 6 | Issue 2 |

 Abstract

A statistical calibration problem is a kind of inverse prediction, or inverse regression. First of all we consider unvariate calibration, then we extend this idea to multivariate case. Suppose we want to measure the amount of chemical, x, in a sample. Direct measurement is very difficult or expensive or time consuming. Hence we consider a related measurement, y, which is easy and inexpensive to obtain. Now we prepare N samples with known amounts of the chemical xi, i = 1, 2, ..., N. Measure the corresponding value of y, i = 1, 2, ..., N. A model is fitted to these data and this model is used in a future study to estimate the true characteristic x using the less expensive or easily obtained measurement y. We deal with the situation where x is fixed (i.e., non-random).

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 Keywords

calibration model; confidence region ; inverse regression

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Wire rod 5.50mm from steel grade 0.51% carbon and 0.65% carbon were drawn to 1.35mm in 13 draws and two speeds 10m/sec and 30m/sec. The increase of speed from 10m/sec to 25m/sec caused the increase of tensile strength about 4-5%. 2. Higher speed decreases the number of twists observed 3. The increase in speed causes to reduce number of bends by 8-10%.and also as the carbon percentage increase the number of bends goes on decreasing.

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 Keywords

Wire drawing, drawing temperature, tensile strength, drawing speed

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

People usually trust the evaluations and recommendations given on products while purchasing one. Ratings or Review of a service can produce a fantastic impression on a product profile such as its company name and brands. Organizations must survey opinions and outcomes that come over its products. On other side, its very difficult to trace and structure popular review in organized way. Various opinions on the internet are involving many efforts to manually process. The term "system" refers to a set of rules created that can spontaneously classify positive and negative opinions which will help them to investigate a product's growth in the case to consistency, efficiency, and things that needs to improve will eventually give better path to improvise the product. Customer's both good and poor ratings and reviews are critical in evaluating customer requests and receiving product input. Natural Language Processing (NLP)in which analyzing sentiments gathers contextual data like positive, negative and neutral. This research looks at a huge number of online mobile phone ratings. Disappointment, expectancy, disgust, apprehension, happiness, regret, surprise, and confidence were all classified into both good and bad aspects. This clearly stated type of feedbacks that supports in a thorough examination of that same output that will allow customers to make more informed selections.

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 Keywords

Machine Learning (ML), Faux, Ratings, Reviews, Natural Language Processing, Evaluations and recommendation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The fundamental objective of earthquake resistance design is to avoid building collapse during earthquake, limiting the danger of death or damage to individuals in or around those structures. Since Earthquake forces are irregular in nature and unpredictable, the static and dynamic investigation of the structures have turned into the essential worry of structural Engineer. Load carrying capacity, ductility, stiffness, damping and mass are the principle parameters of the seismic investigation. The tendency of resisting earthquake force for various shaped building are different with respect to their torsional and mass irregularities, re-entrant corners, structural systems, diaphragm and acceleration.

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 Keywords

plan, vibration, earthquake, displacement, torsional behaviour, stiffness, mass, storey drift, time period, software

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The braking distance and obstacle distance, as well as the vehicle's speed, are taken into account in our work. The ultrasonic sensor detects the distance between the vehicle and the item in front. Automatic breaking processes are accomplished by integrating breaking motors that activate the brakes. If the driver fails to detect the obstruction and apply the brakes at the appropriate time, the microcontroller activates the braking motor to apply the brakes automatically.

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 Keywords

Ultrasonic Sensor, Regenerative system, Electromagnetic flux, Micro-controller.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's rapidly evolving educational landscape, the integration of emerging technologies has revolutionized traditional classroom settings. The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has given birth to the concept of the smart classroom, offering a dynamic and interactive learning environment. This paper explores the design, implementation, and benefits of an AI and IoT-based smart classroom.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automation,Virtual Assistant,AI,IOT ,Raspberry Pi,Smart Classroom

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Today most of the engineering graduates are learning the engineering drawing course using computer software interface. However, the skills developed by the students are not at the satisfactory level. In order to meet this objective, the different ways of engaging the drawing courses are briefly discussed in this article.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Engineering Drawing, Machine Drawing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

I want to make a project through which everyone can relate to it. Also in our day to day life I am always observing at the crossing of roads that in some lane there are lot of traffic compared to others lane Also due to timing based the lighter dense roads are sometimes empty due to which many people start crossing the road but due green signal in that lane vehicle. HC-SR04 and calculate the distance.

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DENSITY BASED TRAFFIC LIGHT CONTROL USING ARDIUNO AND IR SENSORS

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The datasets that are taken into consideration are Diabetic Retinopathy detection 2015 and Aptos 2017 blindness detection which are both obtained from Kaggle. According to International Diabetics Federation (IDF) Diabetics Atlas 2017, around 463 million people are affected by diabetes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diabetic Retinopathy (DR), Convolutional Neural Network(CNN), Deep Learning, ResNet-50, Fundus images, Classification, Pre-processing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Internet of Things (IoT) is emerging technology that can be used to develop smart applications. Cloud services enable the remote devices management in IoT that plays the significant role in IoT device infrastructure. Many cloud services are providing the multiple IoT tools that can made easy usage of IoT devices with cloud computing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, Cloud Computing, Security

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Creative Commons Attribution 4.0 and The Open Definition