Agriculture is the practice of cultivating plants. Agriculture is an important sector of the Indian economy as it contributes about 17% to the GDP and provides employment to over 60% of the population. Nowadays people...
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ISBN:
(数字)9798331521691
ISBN:
(纸本)9798331521707
Agriculture is the practice of cultivating plants. Agriculture is an important sector of the Indian economy as it contributes about 17% to the GDP and provides employment to over 60% of the population. Nowadays people started thinking of getting more profit by using advanced techniques. One of the most important aspects of the increase in agricultural productivity is crop health monitoring. This paper presents a crop health monitoring system with drones equipped with a pixhawk 6X flight controller and a MicaSense multispectral camera. The system captures five bands (red, green, blue, red-edge, and near-infrared) to monitor crop health. The captured images are processed using Pix4D software to analyse the health of crops. The proposed system provides a cost-effective, efficient, and accurate solution for real-time crop monitoring.
As the Internet becomes increasingly image-centric, users face substantial challenges in efficiently locating desired images due to the inherent limitations of image search engines in interpreting visual content and k...
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ISBN:
(数字)9798331508456
ISBN:
(纸本)9798331508463
As the Internet becomes increasingly image-centric, users face substantial challenges in efficiently locating desired images due to the inherent limitations of image search engines in interpreting visual content and keyword ambiguity. This paper introduces an innovative solution employing psychological intention diagrams to enhance search accuracy. These diagrams harness historical data to depict the search intentions associated with specific keywords, reflecting both user and web designer perspectives. By integrating these diagrams, our proposed search engine significantly refines its ability to predict and retrieve the most relevant images. The implementation of this system involves constructing two types of intention diagrams: one based on past user queries and another derived from the intentions of web designers for cases without historical user data. This dual approach not only captures the semantic essence of images more effectively but also addresses the multi-faceted meanings of search keywords. Our experimental results confirm that incorporating psychological dimensions into image search mechanisms substantially improves precision, facilitating more accurate and user-aligned image retrieval. This pioneering approach is the first to apply psychological profiling in enhancing image search engine functionalities, marking a significant advancement in digital image retrieval technologies.
Pharmacy Management system (PMS) is an advanced software solution designed to increase the efficiency, accuracy and safety of pharmaceutical operations. system automates important functions such as inventory managemen...
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ISBN:
(数字)9798331505745
ISBN:
(纸本)9798331505752
Pharmacy Management system (PMS) is an advanced software solution designed to increase the efficiency, accuracy and safety of pharmaceutical operations. system automates important functions such as inventory management, prescription processing, billing and compliance tracking, thus enables spontaneous pharmacy operations and enhances patient care. With integration of upcoming technologies such as Artificial Intelligence (AI), Cloud Computing, and Barcode scanning, PMS reduces errors, eliminates stockouts, and increases drug safety. The system also includes real-time analytics and reporting, which enables decision making and adaptation to resource use. The upcoming technologies such as IoT-based intelligent inventory management and integration give the PMS in the event of changing the pharmacy management by ensuring enhancement of accessibility, streamlining operations and compliance. The project emphasizes the importance of digital change in modern healthcare, which has increased service distribution and improves the patient's satisfaction.
Frequency regulation services through demand-side measures such as thermostatically controlled loads have gained popularity in the recent decade. However, there is a significant need for a control strategy that has th...
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ISBN:
(数字)9798331520762
ISBN:
(纸本)9798331520779
Frequency regulation services through demand-side measures such as thermostatically controlled loads have gained popularity in the recent decade. However, there is a significant need for a control strategy that has the capability to provide regulation even under parametric uncertainties. In this paper, a robust PI controller has been designed to homogeneously integrate aggregated Variable Speed Air-Conditioning (VSAC) systems into a Single-Area Power system (SAPS) with a reheat steam turbine. Based on parametric uncertainties, a worst-case model of the VSAC-SAPS system is obtained and its stability margins in terms of Phase and Gain margins are evaluated. Simulation results show that the dynamic responses of the power grid's frequency and power deviation of the grid were steady-state stable. Considering 30,000 homogeneous VSACs with 1.5 tonnes capacity, the rated power of the aggregated VSACs is 59MW (approx.). Simulation results showed that without a robust controller, the uncertain system was stable but sensitive to perturbations due to lower gain and phase margins. Frequency support services were utilized from the grid and aggregated VSAC systems, thereby significantly reducing the strain on the conventional grid. The robust PI controller in the VSAC system enhances transient stability by reducing overshoot and achieving faster damping, complementing the slower grid response.
technology is a cornerstone of modern life, yet the software engineering field struggles to reflect the diversity of contemporary society. This lack of diversity and inclusivity within the software industry can be tra...
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ISBN:
(数字)9798331535100
ISBN:
(纸本)9798331535117
technology is a cornerstone of modern life, yet the software engineering field struggles to reflect the diversity of contemporary society. This lack of diversity and inclusivity within the software industry can be traced back to limited representation in software engineering academic settings, where students from underrepresented groups are often stigmatized despite the field's rich history of contributions from scientists from diverse backgrounds. Over the years, studies have revealed that women, LGBTQIA+ individuals, and Black students frequently encounter unwelcoming environments in software engineering programs. However, similar to other fields, increasing awareness of notable individuals from marginalized backgrounds could inspire students and foster a more inclusive environment. This study reports the findings from a replicated global survey with undergraduate software engineering students, exploring their knowledge of distinguished scientists from underrepresented groups. These findings show that students have limited awareness of these figures and their contributions, highlighting the need to improve diversity awareness and develop educational practices that celebrate the achievements of historically marginalized groups in software engineering.
This study describes a music recommendation system that uses TF-IDF vectorization and cosine similarity to propose songs based on lyrical similarities. By converting music lyrics into numerical vectors and assessing s...
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ISBN:
(数字)9798350357509
ISBN:
(纸本)9798350357516
This study describes a music recommendation system that uses TF-IDF vectorization and cosine similarity to propose songs based on lyrical similarities. By converting music lyrics into numerical vectors and assessing song similarities, the system generates textual-relevant recommendations. The model includes an option to filter by artist, which improves tailored recommendations. We used data preprocessing, stemming, and TF-IDF vectorization, along with cosine similarity, to provide music recommendations. The findings show that text-based similarity is beneficial for producing music recommendations. This method could benefit streaming services by pushing personalization beyond user preferences and collaborative filtering.
In agriculture, precise harvest time is essential to maximize production and quality. A predictive analytics system powered by the Internet of Things (IoT) and using LightGBM models for accurate harvest time determina...
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In this work, a Backstepping controller with Recurrent Neural Network is proposed for reducing the tracking error in the Fractional order nonlinear systems. Further, this paper focuses on the comparison of the propose...
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ISBN:
(数字)9798331512965
ISBN:
(纸本)9798331512972
In this work, a Backstepping controller with Recurrent Neural Network is proposed for reducing the tracking error in the Fractional order nonlinear systems. Further, this paper focuses on the comparison of the proposed control strategy with existing similar approaches. The proposed controller is highly effective in minimizing tracking error when compared to the other controllers like Sliding mode-neuro-fuzzy, Dynamic surface-neuro fuzzy, Artificial Neural network, Event-triggered control, fuzzy-based reinforcement learning and echo state networks with adaptive backstepping controller. The proposed technique is implemented on Genesio- Tesi fractional order nonlinear system. The simulation results presented ensure stability and validate the ability of the controller for regulation and tracking.
In order to improve WLAN and UHF-RFID system dependability, this study proposes three dual-band, dual-linearly polarized antenna topologies that make use of metamaterial techniques. The core design consists of a squar...
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ISBN:
(数字)9798331508456
ISBN:
(纸本)9798331508463
In order to improve WLAN and UHF-RFID system dependability, this study proposes three dual-band, dual-linearly polarized antenna topologies that make use of metamaterial techniques. The core design consists of a square patch emitting broadside at 865 MHz and 2.45 GHz with an outside ring. S3 and S4, two metamaterial superstrates, preserve WLAN performance while switching the lower band to 905 MHz for North American UHF-RFID compatibility. S4 offers a backside beam at 905 MHz, whereas S3 permits a bi-directional pattern. These antennas offer enhanced size, gain, and bandwidth with a small λ 0 /24.4 profile at 2.45 GHz, which makes them perfect for RFID and WLAN applications. These characteristics make the antennas extremely effective, versatile, and appropriate for WLAN systems and RFID readers, where the WLAN channel acts as a platform for the transmission of data from RFID tags.
Especially in autonomous driving and surveillance systems, pedestrian detection is a fundamental feature of computer vision applications. This work investigates the use of a convolutional neural network (CNN) for pede...
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ISBN:
(数字)9798331521691
ISBN:
(纸本)9798331521707
Especially in autonomous driving and surveillance systems, pedestrian detection is a fundamental feature of computer vision applications. This work investigates the use of a convolutional neural network (CNN) for pedestrian identification by means of performance analysis based on important criteria including accuracy, precision, recall, F1 score, loss. With an accuracy of 99.8% and a precision of 100%, the model proves dependability in spotting areas not accessible by foot. The study emphasizes the model’s shortcomings in generalizing to unseen data, nevertheless, given a recall of 99.7% and clear over fitting shown from the loss and accuracy curves. Using data augmentation, modern designs, and regularizing methods is advised in order to meet these obstacles. The results lay a basis for more investigation meant to improve the strength and efficiency of pedestrian detecting systems.
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