Search
1248 articles for “IDS”
-
Brain Waves can be used to Detect Potentially Harmful Personal Information
Abstract: A researcher is working to advance research to develop secure user authentication methods, by looking at using brain waves as individual identifiers. However, those brain waves can tell more about a person than just his or her identity, warns this expert.
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 6–9 Read article
-
Facial Expression Recognition Using Voila and Jones Algorithm and Principal Component Analysis: A Propose Work
Abstract: Human face detection (FD) and recognition is a tough subject matter and a lively location of research. It is not unusual in numerous fields such as image processing (IP) and pc vision. It is the number one and the first step in wide range of applications which include face recognition (FR), private identification (PI), identity verification (IV), facial expression (FE) extraction, and gender class. In this paper, a multilevel model …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 1–9 Read article
-
Redundant Keypoint Elimination Using Redundancy Index on Basic SIFT Algorithm
Abstract: ABSTRACT Matching features across different images is a common problem in computer vision. For the images of different scales and rotations, there is the need of scale-invariant feature transform (SIFT). SIFT identifies the distinctive keypoints that are invariant to location, scale, rotation, robust to affine transformations (changes in scale, rotation, shear, and position) and changes in illumination, which are usable for object recognition. SIFT algorithm includes two main stages: feature …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 22–31 Read article
-
Sound-based Bird Classification Using Perceptual Features and Machine Learning: A Gaussian Mixture Model
Abstract: Classification of birds based on their sound patterns and identification of bird species found in the chirping sounds of birds were experimented with using the feature extraction method. This work is beneficial in ornithology to study birds and their behavior based on their sounds. The proposed methods can automatically classify birds by different sound processing. The audio file of a bird’s sound recording is first cut into smaller samples, and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 46–52 Read article
-
Vehicle Number Plate Detection and Recognition System in Nigeria Using Deep Learning
Abstract: With over 200 million citizens, Nigeria is one of Africa’s largest and most populous nations. It is now essential to automate traffic management due to the rising number of vehicles in the nation. With the use of a deep learning technique known as the YOLO method, the study was able to construct an automatic vehicle license plate identification system that will recognize each of the vehicle license plates when many …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 32–45 Read article
-
Breakout Room Escape: Design and Development of an Immersive Unity Game
Abstract: Three-dimensional (3D) game development is a complex and challenging process that requires expertise in various fields, including programming, art, and design. Due to its adaptability, userfriendly interface, and thorough documentation, Unity is a well-known game engine that is frequently used in the game development industry. This research paper aims to explore the process of developing a 3D game using Unity, focusing on the technical aspects of game development and the …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 20–30 Read article
-
Implementation of Energy Efficient Protocol in Wireless sensor Network
Abstract: Wireless sensor network (WSNs) are network of sensor nodes one of current concerns is developing a stable clustered heterogeneous protocol prolonging the network lifetime with minimum consumption of battery power. In the recent times, many routing protocols have been proposed increasing the network lifetime, stability in short advising a reliable and robust routing protocol. In this paper we examine the impact of hierarchical clustered network with sensor nodes of two-level …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 21–29 Read article
-
Revolution in Mobile Communication by HC3 Technology
Abstract: ABSTRACT This article describes the idea of Human Centered Communication and Computing (HC3) technology. The aim of HC3 is to counterpoint communication and enhance human capabilities through interfaces that may convey a user’s ideas, sensations, sensitivity and intent. We have a tendency to find out biological data interfaces to alter folks, to act with data via increased senses and limbs. In this article, we discuss the future possibilities of this …
Published in International Journal of Broadband Cellular Communication · Vol. 5, Issue 1, 2019 · pp. 14–20 Read article
-
A state of art design technique of broadband Active/Passive SPST switch using 130nm SiGe BiCMOS technology
Abstract: This paper presents the state of the art for new ultra-wideband active/passive RF SPST switches that can not only reduce insertion loss or potentially generate gain, but also significantly increase isolation. The proposed active/passive ultra-wideband RF SPST switch design using 130 nm SiGebased BiCMOS technology. This switch operates from 5 GHz to 45 GHz with high isolation and low gain/loss Two identical SPST switches and a broadband active balun make …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 13–19 Read article
-
State Wise Covid-19 Case Forecasting Based on Machine Learning by Using SEIR and Time Series Models
Abstract: Forecasting mechanisms based on machine learning have proved to be significant to anticipate in peri-operative outcomes that improve decision-making in the future. Applications where it is necessary to identify risk factors with a negative impact have used machine learning models. To solve problems with forecasting, many prediction techniques are applied. The COVID-19 virus, which is active and is currently regarded as a serious threat to humanity, is shown in this …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 1, 2023 · pp. 1–9 Read article
-
An Overview of Bluetooth Technology & It’s Communication Applications in Recent Era
Abstract: In the recent period, Bluetooth technology has substantially changed how gadgets interact and communicate with one another. An overview of Bluetooth technology, its development, and its many communication applications is given in this paper. Since its introduction, Bluetooth has evolved into a standard component of many gadgets, including smartphones, computers, wearable technology, and Internet of Things (IoT) devices. The study examines the core ideas behind Bluetooth technology, emphasizing its wireless …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 1, 2023 · pp. 25–30 Read article
-
Next-generation Monitoring: Arduino-based Networking Approach for Underground Cable Fault Detection
Abstract: This study presents a novel approach that makes use of networking technology and Arduino microcontrollers to identify defects in subterranean cables. For electricity distribution networks to continue to be dependable and safe, defects in subterranean cables must be accurately located and detected. An Arduino-based system to concurrently identify defects and determine their lengths in subterranean cables. Through the integration of sensors that are attached to Arduino boards with a networked …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 2, 2023 · pp. 11–17 Read article
-
Service and Maintenance (S&M): Challenges, Issues and Concerns in Electrical and Electronics Industry
Abstract: The purpose of this short note is to present the service and maintenance aspects, issues, concerns and challenges by reviewing the present literature, providing insights and procedures leading to the strategies of business models. The fundamentals of service and maintenance (S&M) in the electrical and electronics industries have been identified and highlighted with modern techniques and systems incorporating the “smart sensors”, life extension programmes for equipment and instruments. The impact …
Published in International Journal of Electrical Power System and Technology · Vol. 4, Issue 2, 2018 · pp. 28–31 Read article
-
Depression Detection System
Abstract: Traditionally, depression was identified through in-depth clinical interviews, during which the psychologist would analyze the subject’s responses to ascertain his or her mental condition. With the prevalence of depression increasing, some automated and trustworthy methods of depression recognition are needed. Our Objective it to design a model that can extract relevant features automatically as an input using efficient machine learning algorithms and further detect the depressive state of the user …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 28–37 Read article
-
Online Voting system
Abstract: The purpose of our research paper is to present an online voting system that enables users, candidates, and administrators to participate in online voting with ease and high security. The online portal we propose has a user-friendly and interactive interface, while maintaining a high level of security through unique security features, such as the generation of unique IDs for each user in addition to login IDs and passwords. This allows …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 38–45 Read article
-
Cluster-Based Secure Communication Using Short Path Selection in MATLAB
Abstract: The wireless sensor networks (WSNs) consists of several autonomous sensor nodes with sensing, processing and wireless communication capabilities. In this work, the sensor network security issues are resolved in clustered network when a new node enters into the network. In this present work, two-stage authenticated communication is defined. The first-level authentication is applied between the base station and the cluster head. In this process, the public key cryptography is applied …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 4, Issue 1, 2018 · pp. 21–29 Read article
-
A Study on Arduino Car Speed Detector Using Arduino UNO and IR Sensors
Abstract: In this study, we structure and fabricate a basic vehicle speed locator circuit utilizing Arduino UNO and IR sensors. This Arduino vehicle speed identifier venture can be utilized to recognize speed of a moving vehicle. A vehicle speed observing framework is fabricated to utilizing Arduino and IR sensor. Considering the street security another procedure is depicted to distinguish the speeding vehicle and charge them fine to defy the norms or …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 4, Issue 2, 2018 · pp. 6–12 Read article
-
Design and Construction of High-Performance Vehicle Tracking System
Abstract: A vehicle tracking system (VTS) has been designed, constructed, and evaluated. The main purpose is to accurately determine the position of a vehicle at any time with minimal response delay. The device consists of a GPS receiver, a microcontroller, and a GSM module. These systems function by constantly monitoring and tracking the positional location of the vehicles and concurrently reporting the details to the central location via SMS on an …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 7, Issue 1, 2021 · pp. 25–35 Read article
-
Arduino Microcontroller-based Gas Leakage Detection and Accident Prevention Alerting System
Abstract: This paper aims to propose and discuss a design of a gas leakage detection system that can automatically sense, an alert signal generated and control gas leakage by a user. This proposed system also includes an alerting by buzzer sound and the users control gas leakage. The system is based on a sensor that easily senses a gas leakage. The liquid petroleum gas (LPG) leak detector model is a compact …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 8, Issue 1, 2022 · pp. 14–18 Read article
-
Intelligent Monitoring and Water Irrigation System with IoT
Abstract: In this research paper, we present a Smart Irrigation System using an ESP32 microcontroller, with various sensors and Arduino IDE using IoT. Sensors like the DTH11 sensor temperature-humidity and Soil Moisture sensor use the smart Irrigation system to measure the soil’s reading and sends the alert to the Wi-Fi-based cloud application [Blynk Application] followed by watering the plants. The idea behind this is easy, cost-efficient, and simple to implement which …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 8, Issue 2, 2022 · pp. 20–28 Read article