Object Tracking using Multi Adaptive Feature Extraction Technique

Patibandla, Sreehari; Archana, M.; Tanguturi, Rama Chaithanya

doi:10.14445/22315381/ijett-v70i6p229

Cited by 5 publications

(5 citation statements)

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“…In this project the customer stress was predicted by supervised machine learning algorithms mainly using Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and the accuracy value will take by comparing best of each accuracy values [6][7][8][9][10][11][12][13][14][15][16]. The figure 1 shows the system architecture.…”

Section: Proposed Systemmentioning

confidence: 99%

Customer Stress Prediction in Telecom Industries Using Machine Learning

Sriharsha¹,

Babu²

2022

IJIREM

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In the competitive world especially in enterprises market maintaining valuable customers is becoming a difficult task. In one situation losing a customer is like decrease in profits for telecom industry growth, in another situation the cost of acquiring new customers is much higher than the cost of retaining the existing customers, for this critical situation the telecom industries should focus on retaining existing customers. This project will analyze the customer data which was collected as open dataset and predict the customer stress by applying supervised machine learning algorithms mainly using Linear Discriminant Analysis, Support Vector Machine, K Nearest Neighbor and Random Forest.

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Section: Proposed Systemmentioning

confidence: 99%

Customer Stress Prediction in Telecom Industries Using Machine Learning

Sriharsha¹,

Babu²

2022

IJIREM

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“…The author created a system that includes MQ-6, MQ-7, MQ-135, LDR, and DHT11 sensors to monitor the presence of various contamination -causing parameters such as carbon monoxide, carbon dioxide, smoke, and butane, as well as the increase in atmospheric temperature and humidity as a result of pollutants released. The deep learning and machine learning algorithms give best performances [5][6][7][8][9]. The technology continuously monitors data on the amount of pollutants in the atmosphere and delivers warning messages to the authorities when contamination emissions surpass the contamination board's pre-set limits.…”

Section: International Journal Of Innovative Research In Computer Sci...mentioning

confidence: 99%

Wot Based Contamination Monitoring System

Sivudu¹,

Krishna²,

Nagarjuna³

2022

IJIRCST

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Modernization and industrial development are disrupting the contamination 's equilibrium by releasing untreated harmful toxic elements into the atmosphere, resulting in contamination of basic ecosystem elements such as water, air, and soil, which are necessary for humans to survive. The four major types of contamination caused by industries are air contamination, water contamination, and noise contamination. This causes infections to spread through the air and water, affecting both humans and animals. As a result, controlling these pollutant characteristics is a major undertaking. The major goal of this project is to design an efficient and cost-effective industrial air, water, and sound contamination monitoring system, and the main objective of this paper is to provide an WoT-based industrial air, water, and sound contamination monitoring system. comprehensive mechanism to track the variables that are causing the problem of contamination. This project's/working system's technique is to read and track pollutant indicators, as well as to inform when any of these substances are released, contamination control authorities are notified. Contamination levels are above industrial requirements. The system looks into PH levels in industrial effluents, CO levels, and other factors.CO2, combustible gases, air humidity, and temperature During the manufacturing process, minute optical dust particles are released. as well as the sound level produced by the industry, employing PH sensor, MQ6, MQ9, temperature sensor, and other sensors Humidity, and noise sensors are all included. This system is based on the Internet of Things (WoT), which is a rapidly growing technology that combines electronics and computer science. The Internet of Things (WoT) concept allows us to obtain data from faraway locations and preserve it in a database without having to physically be present in that region.

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“…Across the BW, with the same polarization of the radiated field. In future work the work continuous with machine learning and deep learning algorithms [13][14][15][16][17] The basic structure of antenna comprises of circular monopole with CPW feeding technique. The antenna is designed on flexible polyimide substrate with dielectric constant of 3.5 and loss tangent of 0.02.…”

Section: Literature Surveymentioning

confidence: 99%

A Novel Copper Tape Wideband Wearable Antenna for Wban Application

Manasa¹,

Ramaiah²

2022

IJIREM

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The compact antenna for on-body applications is designed for covering ISM frequency bands. The antenna covering ISM frequency bands in range of 2.45 and 5.8 GHz. The circular structure with triangular slots is responsible for obtaining the dual band applications. The antenna designed on flexible polyimide substrate having dielectric constant of 3.5 with loss tangent of 0.008. The bending analysis of the antenna is performed to analyze the flexible nature. The proposed antenna covering the frequency range 2.3-3.5 GHz and 5.1-6.8 GHz with fractional bandwidth of 41% and 28%. The antenna provides the stable dipole and omni directional patterns. The measured antenna provides the peak gain of 2.3 dBi at 2.5GHz and 4.7 dBi at 5.8 GHz radiation efficiency of 78% at 2.5 GHz and 84% at 5.8 GHz. To validate the antenna performance antenna undergone for the comparison of simulated and measured results by placing antenna on human body.

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Object Tracking using Multi Adaptive Feature Extraction Technique

Cited by 5 publications

References 0 publications

Customer Stress Prediction in Telecom Industries Using Machine Learning

Customer Stress Prediction in Telecom Industries Using Machine Learning

Wot Based Contamination Monitoring System

A Novel Copper Tape Wideband Wearable Antenna for Wban Application

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