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582 articles for “Traditional”
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A Review on Artificial Intelligence, Internet of Things and Wearable Technology for Smart Healthcare
Abstract: The healthcare industry is no longer an isolated area unaffected by technology advancements. Healthcare is driven by technology more than any other force, and it will continue to evolve in spectacular ways in the future. Artificial Intelligence, Internet of Things, Big Data, Cloud Computing, Smart Wearables, and other cutting-edge healthcare technologies have transformed traditional healthcare into smart healthcare. Technology has allowed us to keep a close eye on our health …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 26–34 Read article
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Soft Computing Techniques for the Integration of Distributed Energy Resources (DERs)
Abstract: One of the most attractive uses of AI in the energy sector is the integration of Distributed energy resources. Distributed energy resources relate to grids, the more complex energy networks are becoming for utilities to operate and manage. Mechanisms such as load and generation forecasting, demand response, power quality management, and voltage regulation, which have traditionally been used to manage DERs and the grid, are not sufficient. This is where …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 1–16 Read article
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Enhancing Hearing Accessibility Through IoT: A Review of Smart Hearing Device
Abstract: The challenges faced by individuals with hearing impairments extend beyond the actual loss of hearing and highlight a broader issue of communication barriers. Traditionally, it is assumed that individuals with hearing impairments would struggle with lip-reading and speaking, and therefore, they would benefit from using sign language and attending specialized schools to communicate with others. However, leveraging cutting-edge voice-to-text recognition technology could significantly narrow the gap between the hearing and …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 11–17 Read article
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Image Denoising Using IBP n Filter
Abstract: Abstract The ultrasound images are blurred by the multiplicative noise that is the Speckle pattern. It decreases the contrast and resolution of ultrasound images those outcomes in weak interpretation of image characteristics. In several image processing mechanisms like segmentation, classification and pattern recognition the speckle is a significant part. The conventional methods calculate the computation of LBP on gradient. The limitation of this technique was that the LBP mechanism divide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 37–45 Read article
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Detection of Leaf Diseases Using Image Processing Techniques
Abstract: Agricultural field plays a vital role in the earning to feed ever growing population. The productivity of the crop depends on pest attack, disease, weather, etc. The disease in plants will affect the production of crops. Detecting diseases in plants through visualization is a traditional method which is not relevant. We are focusing on reliable, fast and accurate detection method that can be done using image processing techniques to monitor …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 14–19 Read article
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Foreign Material Detection for Scallion Processing Industry Using HSV Color Space
Abstract: In this paper, an optical foreign substance detection system is designed to address the problem of foreign substances mixed in food. The five color spaces of RGB, HSV, YCrCb, CIELab, and CIELuv are compared by using scallion images and non-scallion images to seek the color space that is the most suitable for the scallion processing. The designed image algorithms are given to filter out food raw materials and background images. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 33–50 Read article
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Criminal Face Identification Using Deep Learning and Machine Learning
Abstract: Criminal face identification is a crucial task for law enforcement agencies to prevent and solve crimes. The traditional methods for identifying criminals using human expertise and eyewitness testimonies have several limitations, such as subjectivity, inaccuracy, and unreliability. Machine learning and deep learning techniques have yielded promising gains in facial recognition and identification applications in recent years. In this study, we propose a criminal face identification system that combines machine learning …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 28–34 Read article
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WINDOWS 10
Abstract: Windows 10 was a big change for Microsoft’s traditional operating system. Windows 10 introduces what Microsoft described as a "universal" application architecture. Windows 10 is configured to send various information to Microsoft and other parties, including the collection of user contacts, calendar data, and "associated input data" to personalize "speech, typing, and inking input", typing and inking data to improve recognition, allowing apps to use a unique "advertising ID" for …
Published in International Journal of Software Computing and Testing · Vol. 2, Issue 1, 2016 · pp. 13–17 Read article
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IoT Enabled Smart Waste Collection
Abstract: Waste management is one of the essential city services. It includes different activities like collection, transportation, treatment and disposal of waste. In this paper we are going to discuss the different waste collection methods which were previously used and the different smart waste collection methods which can be used to ease the overall process and the difficulties that occur in the traditional method. With the help of technology like IOT …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 1, 2019 · pp. 15–21 Read article
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Self-Monitoring Automated Route Trashbin
Abstract: Waste management is one of the vital role of a smart city. Nowadays smart cities are rapidly increase at the same time the pollution rate was also increased highly. So people are doing the things smartly to reduce the pollution. Since the generation of waste is active in nature, it often outcomes in some garbage cans getting overloaded and leaking while other remains almost vacant. An overflowing waste bin cannot …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 1, 2019 · pp. 22–25 Read article
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A Descriptive Blockchain Technology Government Application Analysis
Abstract: ABSTRACTBlockchain is a flux technology regarding government knowledge resource sharing that enhances its legitimacy and security. During this exposition, we tend to gift a technical organization that includes of managing and accessing knowledge at government level and its use cases that embody digital identity, Hyperledger Indy, Tax Payments and Land register Records. By this, we tend to build a blockchain-based information sharing platform that's secure and a lot of reliable …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 2, 2020 · pp. 28–35 Read article
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e-Canteen Ordering System: Food Delivery Software
Abstract: The Canteen Ordering system is a web based software which is essential because of the recent developments in technology and increasing use of internet. Through our proposed Real-time online food ordering system, food can be ordered in a hassle-free manner. This canteen system enables the end users to register online, read and select their preferred food and order them online through this given website. Canteen employees can then use these …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 21–24 Read article
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Satellite Image Classification using Deep Learning
Abstract: Satellite imagery is essential for lots of applications along with catastrophe response, regulation enforcement, and monitoring an environment. These packages require the guide identity of objects and facilities in imagery. Because the geographical areas to be protected are large and the analysts needed to do the searches are scarce, automation is required. Yet traditional item detection and category algorithms are too inaccurate and unreliable to clear up the problem. Deep …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 29–36 Read article
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Health Management System Using Researched Application of Big Data
Abstract: As everyone knows many developing as well as developed countries even poor countries healthcare demand is growing at an extensive rate. As like all other countries, healthcare in India is also facing the growing demand of medical treatment and services; as demand of healthcare and medical treatments increases, parallelly the volume of medical records increases; they must appropriately have all of the patient’s medical history. Management has to maintain proper …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 1–6 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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Algorithms Used for D-STATCOM to Achieve Compensation Current Detection
Abstract: Now a day’s power electronic based equipments are used in industrial and domestic purpose. Passive filter has been used traditionally for mitigating the distortion due to harmonic current in industrial power systems. But they have many drawbacks such as resonance problem, dependency of their performance on the system impedance etc. To overcome of such problem active power filters is introduced. It has no such drawbacks like passive filter. They inject …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 2, 2017 · pp. 7–19 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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Discovery of Materials through Applied Machine Learning and General Machine Learning Architecture
Abstract: Advances in artificial intelligence technologies, especially machine learning, have generated possibilities in the material sciences to facilitate material exploration and to achieve a profound understanding of the relationship between the constituent elements of the material and the properties represented by the material. The application of machine learning to the exploration of experimental materials is sluggish due to the monetary and temporal costs of experimental data, however parallel methods, such as …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 48–57 Read article
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Next-generation BRT Automation: Exploring the Potential of Conventional Opening Lane Barricades for Seamless Transit Operations
Abstract: The problem of BRT lane violations is addressed in this text. Emerging communities can develop a cost-effective, high-quality mass transit system thanks to bus rapid transit (BRT). The BRT concept is outlined in this article of the Sustainable Transport Sourcebook, along with a brief explanation of the BRT development process. Effective public transport is necessary for development. For most residents of developing cities, public transport is the sole practical option …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 1, 2023 · pp. 1–10 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