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509 articles for “detection”
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Detection and Prevention of Selfish Node Attack in MANET
Abstract: Mobile ad hoc network is self-designing, autonomous, without any centralize node and lacking of the fixed infrastructure network. Mobile nodes are depending on other nodes for transmitting data. Mobile ad hoc network has expected that all nodes are cooperating with each other. Anyhow, some nodes are not cooperating and saving their resources for own use, these nodes are termed as a selfish node. Behaviour of selfishness performance of network reduces. …
Published in International Journal of Broadband Cellular Communication · Vol. 2, Issue 1, 2016 · pp. 20–25 Read article
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Trust based AODV Protocol for Detection and Prevention of JellyFish Attack in MANET
Abstract: Mobile Adhoc Networks (MANETs)are more vulnerable to differing kinds of attacks due to its insecure communication. JellyFish could be a new form of DOS attack that contains the 3 variants like jellyfish delay variance attack, jellyfish periodic dropping attack and jellyfish reorder attack. A main goal of this attack is to decrease the output and increase the tip to finish delay. It ends up in decrease the general performance of …
Published in International Journal of Broadband Cellular Communication · Vol. 6, Issue 2, 2020 · pp. 25–34 Read article
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Pedestrian Detection System with Edge Computing Integration on Embedded Vehicle
Abstract: This article proposes use of edge computing in detection of pedestrian using a roadside mounted edge computer and conve ying position of pedestrian on road to all nearby vehicles so that vehicles can decide upon possibility of collision of itself with pedestrian and take suitable action to prevent possible accident. This approach of edge computing saves bandwidth, increases reliability and improves response time, and these three parameters are crucial in …
Published in International Journal of Broadband Cellular Communication · Vol. 7, Issue 1, 2021 · pp. 25–29 Read article
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Bluetooth Technology for Detecting the Quality of Water
Abstract: Water quality monitoring system can measure various parameters of water quality, such as temperature, pH, conductivity and the turbidity. These parameters are used to detect water contaminants. The traditional technique of scanning the water high-quality is to accumulate tests of water manually and transport to the lab to check and examine. This approach is time consuming, wastage of man energy and no longer most economical. The water quality measuring gadget …
Published in International Journal of Digital Communication and Analog Signals · Vol. 6, Issue 1, 2020 Read article
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Functioning of Intelligent Intrusion Detection and Prevention System (IIDPS)
Abstract: In this paper, the architecture of Intelligent Intrusion Detection and Prevention System is proposed. The intelligence element was introduced using Artificial intelligence techniques. The development of IIDPS was done as a protection from cyber-attacks. The TSAM is decision maker agent and PMM is the main controller agent. Although, the proposed system is a combination of different types of intelligent agents, hybrid architecture under real time constraints.
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 1, Issue 1, 2016 · pp. 27–38 Read article
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Driver Stress Detection Using Glove System
Abstract: This paper focuses on the detection of stress while driving by using a wearable glove system. Wearable globe system includes galvanic skin response (GSR) sensor, PIC microcontroller, and Micro-electromechanical systems (MEMS) sensor along with Bluetooth device. GSR and MEMS sensor work as the input to the device. Driver stress index is calculated by transferring the sensor readings to end terminal device using a Bluetooth device. The paper aims to reduce …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 4, Issue 1, 2018 · pp. 30–33 Read article
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Privacy Policy Summarization and Detection of Unfair Clauses
Abstract: ABSTRACTLess than 1% of all users read the privacy policies (or terms and conditions) that accompany software products. This can be attributed to their low level of readability, length, and complexity. Hence, this allows corporations to sneak in clauses which may compromise a user’s privacy, allowing them to use their data for monetary benefit. For example, corporations may sell user data to third parties for targeted advertising. To tackle this, …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 35–41 Read article
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Real-time Face Mask Detection with Face Recognition Using MobileNetV2
Abstract: In 2019, human civilization faced one of the scariest pandemics in a century. The government advises people to wear a mask for their safety. But there are some cases when we find people without masks,and monitoring all of them manually is not a practical solution in today's world. We needed a method that does this job automatically with higher efficiency. To solve the problem, we have performed face mask detection …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 33–39 Read article
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Deep Learning Approach Based Brain Tumor Detection
Abstract: The brain tumor is one of the most deadly disease which is of great concern and hence to detect and extract the effected tumor area in the brain from the MRI has lot of research potential. It is also a very difficult task to perform by the experts. The perfection of the vivisection depends on how much experienced the radiologist or the clinical expert is. So to overcome the wastage …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 57–63 Read article
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Review of Machine Learning Based Methodologies for Detection of Heart Diseases
Abstract: Nowadays, the number of patients having heart disease has significantly increased. This is due to our lifestyles, globalization, industrialization, and a variety of other things. This paper presents the review of various machine learning-based methodologies to diagnose heart disease by analyzing the heart sounds. In a later section of the paper, we discussed various machine learning methodologies and their insight to detect the abnormality in the heart through analysis of …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 1–7 Read article
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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
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Numerical Simulation of GaAs based MISFET Photo detector for Optical Communication
Abstract: This paper presents a 2D numerical simulation and analysis of GaAs based MISFET photo detector. Numerical simulation of the performance of the device in dark and illuminated condition has been performed. Drain current increases with wavelength of operation and attains maximum value at 0.65 micron and there is a sharp fall beyond 0.85 micron which is higher cut off wavelength for the proposed structure. The device exhibits very low dark …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 2, Issue 1, 2016 · pp. 17–30 Read article
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Region-based Object Detection and Classification using Faster R-CNN
Abstract: With the advent of Deep Learning the machine learning systems are able to recognize and classify objects of interest in an image. Various advancement has been done in the field of object recognition and classification. Our research work focusses on improving the R-CNN, Fast R-CNN, YOLO architecture. The work focused on using Region Proposals Network (RPN) to extract region of interest in an image. RPN outputs an image based on …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 2, 2020 · pp. 22–30 Read article
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Evaluation with Wave Propagation Launch Vehicles besides Non-Intrusive Transmission Lines Failure Detection.
Abstract: The whole paper presents a principle of non-intrusive real-time network failure tracking utilizing wireless sensor networks. The core components of the detector are known as energy harvesters, waveforms and algorithms, circuits and components, and surface wave launchers. In this we have discussed a compact energy harvesting system that is capable of non-intrusively extracting power from a power cable. In terms of waveforms and algorithms, we suggest the usage of TDR …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 2, 2020 · pp. 12–21 Read article
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An Insight into Automatic Engine Locking Systems with Alcohol Detection
Abstract: In this research, we proposed an enhanced Arduino UNO-based alcohol detection method for use in a car's ignition locking system. The output is transformed into a readout that represents the breath alcohol level of the breath sample using a microcontroller. This study is utilised as a component of an overall ignition locking system for cars that forbids driving when inebriated. When a driver exceeds the legal limit after consuming alcohol …
Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 2, 2022 · pp. 8–12 Read article
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Implementation of Frugal Solution for Water Level Detector in Reservoir, Industrial and Agricultural Applications
Abstract: Water plays a vital role in our lives. Preservation and conservation is necessary. One of themajor problems that people are suffering is the water storage issue. Storage of water is veryessential for domestic, agriculture, industrial purposes. Therefore for reducing the currentproblem running and in order to store and save water I have come with a technique and thisis the main purpose of my project. So here I am showing the …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 6, Issue 1, 2020 · pp. 29–34 Read article
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A Technological overview of Improvised Energetic Materials: Characteristics, Post-blast residues and Detection methodologies.
Abstract: In the prevailing world, among the many tools of terrorists, explosives are the most potent and popular. Technological developments and the easy availability of information exhibit rapid transformation from the dependence on conventional explosive devices to the designing of improvised chemical devices. The security forces and the law enforcement agencies find it difficult to counter the Improvised Explosive Devices (IED) menace without a complete and detailed knowledge about their characteristics …
Published in International Journal of Energetic Materials · Vol. 6, Issue 2, 2020 · pp. 1–17 Read article
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Detection of Road Objects and Road Signs from 3D Mobile Mapping System
Abstract: As the number of practical applications of point clouds from a mobile mapping system (MMS) increases, the use of modeled data from MMS has also increased in many fields. However, the data-modeling process is costly. Therefore, in order to make the modeling process efficient, a method of recognizing road objects is needed. Conventional methods cannot recognize objects that include various shapes such as walls and guardrails, or objects that are …
Published in International Journal of Computer Aided Manufacturing · Vol. 3, Issue 1, 2017 · pp. 26–30 Read article
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Intelligent Nanobots: Real-Time Framework for Molecular Pollution Detection and Health Risk Mitigation
Abstract: Nanobots are machines made at a very small scale. They can do jobs. These machines are very versatile and accurate. They are helping to start an era in cleaning up the environment. Nanobots can focus on pollutants in the environment. Their tiny structures can. Break down bad stuff at the molecular level. They can reach places that regular cleaning methods cannot. Water pollution is a problem. Water pollution is mostly …
Published in International journal of Nanobiotechnology · Vol. 12, Issue 2, 2026 Read article
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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article