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2000 articles for “Development” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Trends and Techniques of Software Cost and Performance Measurement
Abstract: Software measurement is an evolving aspect of software engineering providing the necessary support to plan, execute, control, and improve the software development process. However, Software metrics constitute a set of acceptable variables of measurement encompassing diverse activities that require some level of quantification of which cost, and effort estimation are inclusive. This study was aimed at reviewing the various trends and techniques in software cost and performance measurement. The study …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 6–12 Read article
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System Infringement Challenges in Smart Cities
Abstract: We can increase the urban service use, improve sustainability and minimize environmental harm so that the idea of green infrastructure aims to improve the living standard of the citizens. Cybersecurity is the key issue facing smart cities. To store, process and transmit data we can use data protection, as well as the software infrastructure, all topics covered by cybersecurity. Internet of things (IoT) and internet of everything (IoE) are used …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 7–12 Read article
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Detection of Hate Speech on Social Media Using Machine Learning
Abstract: As we know, social media platforms are the fastest method of communication because information is transmitted and received virtually instantaneously. Social media platforms' development radically altered how people communicate in our world, and one effect of these changes is a rise in inappropriate behaviors, like the use of derogatory language online. It might be challenging to express harsh or disrespectful ideas to someone right in the face. People believe it …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
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Detection of Phishing Sites Using Machine Learning
Abstract: The content of phishing websites and online-based material provides a variety of indicators. One of the criminal attacks that are successful in the online world is phishing sites that direct users to a phishing website that looks and acts like a legitimate website in order to steal the victim's personal and sensitive information. The Extreme Learning Machine-based version that was suggested was excellent at spotting phishing websites. Internet page types …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 33–39 Read article
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A Comprehensive Analysis of Context-aware Recommender Systems Implemented Across a Range of Domains
Abstract: In many different fields, recommender systems are essential for helping users find pertinent and personalized material. Traditional recommender systems often underestimate the impact of contextual factors on user preferences. Context-aware recommender systems are a potential method that uses dynamic contextual data to increase recommendation accuracy and user satisfaction. This review paper examines the benefits of context-aware recommender systems in many fields and offers a detailed analysis of these systems. We …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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Support Vector Machine-based Flower Image Classification for Commercial Applications
Abstract: Flowers are crucial raw materials in many industries, including pharmaceuticals and cosmetics. Classifying flowers manually is time-consuming, inconsistent, and requires professional judgment from a botanist. Computer-aided flower classification is a promising approach to this problem. Image classification often employs support vector machines (SVMs) as widely favored algorithms. This study evaluated the performance of SVMs for flower image classification. The results showed that SVMs can achieve good accuracy on this task, …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 44–53 Read article
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Design and Analysis of Low Voltage DC Grid for Domestic Supply
Abstract: The fast development of DC power based devices has led to increased involvement of AC to DC converters. A large scale research work is being conducted on increasing the efficiency of these converters to save energy. But DC microgrids are significantly more energy efficient when implemented with distributed generation or on-site generation from photovoltaic panels, wind turbines, fuel cells or micro turbines. This paper discusses the advantages and disadvantages of …
Published in International Journal of Analog Integrated Circuits · Vol. 2, Issue 1, 2016 · pp. 28–35 Read article
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Effect of various parameters and Equivalent Circuit Analysis on Degradation of Organic Solar Cell
Abstract: This study conducts a mathematical analysis on organic solar cells. Two modeling approaches are studied, equivalent circuit model and optical model. Equivalent circuit model study is conducted by undergoing parametric extraction study of two diode model by implementing genetic algorithm using optimization toolbox in Matlab 2014. Two studies conducted in this section, two diode model study on degradation of organic solar cell under continuous illumination. The optimization studies includes the …
Published in International Journal of Analog Integrated Circuits · Vol. 2, Issue 2, 2016 · pp. 5–9 Read article
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Electrical Characteristics of a Solar Cell/PV Module
Abstract: Conventionally, a PV system consists of solar PV arrays and electric converters. A PV array is formed by series/parallel combination of solar modules. Some operating conditions result in non-uniform irradiance of PV array, such as shadows, clouds, dirt, debris, bird droppings, different orientations and tilts, and so on. If several solar cells in a series PV module are mismatched due to non-uniform irradiance, these cells will limit the output current …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 2, 2017 · pp. 25–35 Read article
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Permanent and Electro-Magnetic Generator
Abstract: We know the process of power generation through windmill, thermal power plant in these power generation systems coal and water are the main power generation sources in our country and are non-renewable. In order to save resources which are available in nature solar and wind power generation systems were invented. In the same way, there is a great need to invent new methods to develop the power. So, here we …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 1, 2018 · pp. 10–12 Read article
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Solar Panel Cleaner
Abstract: Dust and dirt particles accumulating on the PV panel decreases the solar energy reaching the cell and thereby reducing the overall efficiency of cell. Hence, cleaning of PV panel is one of the areas of discussion in the engineering sector of solar power generation. In this study, an optimal solution for solar panel cleaning is reviewed. A portable robotic cleaning device is developed and versatile rail system which can travel …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 1, 2018 · pp. 33–37 Read article
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Optimization of 3D Printed Two-wheeler Suspension System
Abstract: The suspension is the very important criteria of a two-wheeler in order to improve the comfort for the operator or rider of the two-wheeler. In most of the two-wheeler’s shock absorbers are used as a suspension system to smooth out or damp shock impulse and dissipate energy by use of spring’s compression and relaxation property. The system consists of a spring which allows the frame and vehicle intact while riding …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 2, 2018 · pp. 51–57 Read article
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Analysis of AGC simulation model using SIMULINK
Abstract: A Simulation model is developed and it is analyzed using SIMULINK as well as well as state space model. The system is investigated without controller, using conventional integral controller, conventional PI controller, BFO integral controller. The performance of the system is analyzed by consideration frequency, tie-line power and power generated by GENCOs. Keywords: SIMULINK GENCO, Bacterial Foraging Optimization, ACE, PI Controllor, DISCO, space state, AGC
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 46–57 Read article
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MODELING COGENERATION SYSTEM IN SHALLOW GEOTHERMAL INSTALLATIONS
Abstract: ABSTRACTThis paper presents a theoretical modeling of a cogeneration system using multiple heat exchangers and thermoelectric generator. The modeled system, designed for shallow geothermal energy, is a closed piping unit containing water as heat transfer fluid that circulates through a closed loop releasing thermal energy at the surface for heating and sanitary hot water. In addition, a Peltier cells array is attached to the piping system to generate electricity, thus …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 1, 2020 · pp. 41–52 Read article
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An Overview of RF MEMS Components by Microwave Theory and Techniques
Abstract: This paper offers with a rather new location of radio-frequency (RF) technology primarilybased on microelectromechanical systems (MEMS). RF MEMS gives a class of new devicesand components which show advanced high-frequency performance relative to standard(commonly semiconductor) gadgets, and which enable new device abilities. Further, MEMSgadgets are designed and fabricated by means of techniques much like those of very massive-scale integration, and may be synthetic through traditional batch-processing strategies. Inthis paper, the …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 1, 2020 · pp. 53–60 Read article
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Performance Analysis of SVM and CNN Networks for Defect Detection in Solar Panel
Abstract: Use of solar panel in generating electricity is increasing globally day by day to meet the increase in demand of power. Many developments have been made in order to achieve higher efficiency of the system. But efficiency of the system may still decrease due to harsh environmental conditions or poor handling of the. These factors highly contribute in the performance degradation of the system. For detection of these irregularities, human …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 15–24 Read article
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Convolution Neural Network Model to Classify Photo Gallery on an Android Device
Abstract: The classification of images is a classic topic in the domains of image processing, computer vision, and machine learning. Convolution Neural Networks, a sort of deep learning that falls under the Machine Learning sub-domain, have been used in this model. This model was inspired by the problem that students experience at the end of the academic year is that their phones become cluttered with photos from various sources. The aim …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 1, 2022 · pp. 9–17 Read article
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A Review on Property Price Tracking Using ML Model
Abstract: The very common reason for an investment is to get benefits in future. Different legal and illegal utilization leads to cost fluctuation. It is therefore important to well manage the [exploitative] of the property, and an application like price predictor is well equipped with optimal solution. However, such price prediction methods require an appropriate knowledge and experience regarding this domain. By utilising machine learning techniques and algorithms, the price of …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 2, 2022 · pp. 11–20 Read article
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Iot Based Smart Farming with Plant Disease Detection Using CNN
Abstract: In this project, we have discussed the utilization of the power of contemporary technology like sensors and cloudcomputing. IoT-based smart farming is revolutionizing traditional agricultural practices. Additionally, this project enables farmersto manage their farms remotely. This project's primary goal is to support an existing farmer and a new farmer who wants to startfarming as their side income source through remote farming. Farmers can monitor numerous environmental elements includingtemperature, humidity, soil …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 1, 2023 · pp. 36–47 Read article