AI has become a tool for social engineering attackers, enhancing the likelihood of successful attacks. However, as the saying goes, "Diamonds cut diamonds." In this research, we have enlisted the usage of AI...
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ISBN:
(数字)9798331531935
ISBN:
(纸本)9798331531942
AI has become a tool for social engineering attackers, enhancing the likelihood of successful attacks. However, as the saying goes, "Diamonds cut diamonds." In this research, we have enlisted the usage of AI to initiate, launch, counter and prevent social engineering attacks. We have explored not only traditional forms of social engineering attacks with AI, such as phishing, eavesdropping, shoulder surfing, dumpster diving, piggybacking, and tailgating but also the latest forms of AI-enabled social engineering attacks, known as vishing, baiting, Smishing, Whaling, Quishing and Quid Pro Quo. This research paper also conducted a systematic literature review of AI-based defending techniques like AI Sentry,
Researchers are investigating new network architectures to achieve seamless global connectivity. One such proposal is the Space-Air-Ground Integrated Network (SAGIN), which integrates space, air, and ground networks. ...
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WebGL has long been the prevalent API for GPU-accelerated graphics in web browsers, boosting 2D/3D graphical web applications. Despite widespread adoption, WebGL’s programming model hinders its rendering performance ...
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This paper presents the design and implementation of a Smart-drip Infusion Monitoring System incorporating various sensors and IoT technologies. The system aims to enhance intravenous infusion monitoring by providing ...
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ISBN:
(数字)9798331509859
ISBN:
(纸本)9798331509866
This paper presents the design and implementation of a Smart-drip Infusion Monitoring System incorporating various sensors and IoT technologies. The system aims to enhance intravenous infusion monitoring by providing precise control and timely alerts during the infusion process. The load cell sensor measures fluid volume, while the air bubble detection sensor detects air bubble status in the intravenous line, ensuring accurate and safe medication delivery. The Arduino Uno coordinates sensor data acquisition, processing, and infusion control, dynamically adjusting the solenoid valve to maintain the prescribed infusion rate. Additionally, the buzzer alerts healthcare providers to critical events such as dose completion or system malfunctions. This integrated approach offers a comprehensive solution for optimizing intravenous therapy, enhancing patient safety, and improving healthcare outcomes.
With the advancement of software-Defined Networking (SDN) technology, network programmability and flexibility have been significantly enhanced. However, effectively integrating traditional network systems with emergin...
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ISBN:
(数字)9798331533694
ISBN:
(纸本)9798331533700
With the advancement of software-Defined Networking (SDN) technology, network programmability and flexibility have been significantly enhanced. However, effectively integrating traditional network systems with emerging programmable platforms remains a critical research challenge. This paper proposes a fusion architecture based on the P4Runtime protocol to achieve deep integration of SONiC white box switches and the P4 platform. By introducing SDN programmability, we design and implement a hybrid model that enables traditional network architectures to achieve advanced functionalities with the assistance of external SDN controllers. This paper provides a detailed discussion of the architecture design and implementation process, including P4 code development, compilation, target configuration file generation, and interaction mechanisms between the control plane and the data plane. Furthermore, we validate the applicability and performance of the architecture in various scenarios, offering robust support for future research and applications in programmable networks.
The development of effective diagnostic methodolo-gies for software system failures is of paramount importance. Traditional methods, which rely on specialized terminology and intricate reasoning, require users to have...
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ISBN:
(数字)9798331535100
ISBN:
(纸本)9798331535117
The development of effective diagnostic methodolo-gies for software system failures is of paramount importance. Traditional methods, which rely on specialized terminology and intricate reasoning, require users to have a technical background, resulting in reduced flexibility and decreased user-friendliness. With the rise of generative large language models, optimizing human-computer interaction has become a critical area of focus. Additionally, the inherent intelligence and extensive knowledge of large language models make them both easy and effective to employ for fault diagnosis assistance. We introduce IFKG, an advanced tool for diagnosing software system failures. IFKG integrates generative large language models with knowledge graphs, employing natural language interactions to implement fault detection and deliver solutions. IFKG enables users to upload descriptive problems, retrieve pertinent information from the knowledge graph, and present diagnostic results in natural language. Our accuracy assessments across diverse software system failures indicate that the IFKG provides targeted and actionable recommendations, effectively assisting users in ad-dressing a range of software system issues. The tool is available on GitHub at https://***/mako-xxlIFKG, and the demo video can be found on YouTube: https://***2vgZm2hk.
The growing demand for energy-saving lamps highlights critical limitations in traditional LED secondary optics, which reduce energy efficiency and complicate heat dissipation — a key factor in LED lamp longevity. Thi...
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ISBN:
(数字)9798331531836
ISBN:
(纸本)9798331531843
The growing demand for energy-saving lamps highlights critical limitations in traditional LED secondary optics, which reduce energy efficiency and complicate heat dissipation — a key factor in LED lamp longevity. This study proposes an optimized circuit design for a 20-watt LED driver that addresses these issues. The proposed driver ensures effective LED control while improving thermal management and eliminating drawbacks of conventional designs. Key principles of modern LED lamp design and current challenges are identified. The electronic schematic of the high-power LED driver was simulated using LTSpice software in order to analyze and optimize the circuit's performance, resulting in a driver solution that enhances efficiency and reliability.
The uses of solar photovoltaic (PV) systems have increased significantly as the world moves towards renewable energy sources (RESs). Rooftop solar systems (RSSs) are particularly popular due to their environmental adv...
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ISBN:
(数字)9798350357509
ISBN:
(纸本)9798350357516
The uses of solar photovoltaic (PV) systems have increased significantly as the world moves towards renewable energy sources (RESs). Rooftop solar systems (RSSs) are particularly popular due to their environmental advantages. This study explores the integrated modeling and feasibility analysis of rooftop solar system for Rangamati Science and Technology University (RMSTU), located in Rangamati district, Bangladesh. Established to advance higher education and research in science and technology in the Chittagong Hill Tracts (CHTs) region, the university requires a thorough feasibility assessment before installing a grid-connected RSS. This paper presents a detailed methodology for evaluating a grid-connected RSS, considering performance, economic factors, losses, and environmental impact. A test system with a 125 kWp capacity is implemented in academic buildings 1 and 2 on the university campus using PVsyst and the System Advisor Model (SAM) software. Simulation results show an annual energy output of 185.86 MWh and a payback period of 4.8 years. The results indicate a performance ratio of 80.2%, a marginal levelized cost of energy (LCOE) of 6.468 Bangladeshi Taka (BDT) (equivalent to $0.055), and a reduction in CO 2 emissions by 86.243 tons per year.
The proactive caching technique known as “predictive caching” attempts to improve file system performance by anticipating and pre-fetching data that is likely to be requested in the future. Conventional caching stra...
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ISBN:
(数字)9798350355611
ISBN:
(纸本)9798350355628
The proactive caching technique known as “predictive caching” attempts to improve file system performance by anticipating and pre-fetching data that is likely to be requested in the future. Conventional caching strategies, such LRU (Least Recently Used) and LFU (Least Frequently Used), base their decision on which material to keep in the cache on historical access patterns. Although these methods work well in many situations, they could not completely take advantage of the temporal and geographical proximity of file system access patterns, which could result in less-than-ideal cache use. Utilizing machine learning algorithms, statistical analysis, or heuristics, predictive caching makes predictions about future access patterns based on past data, system status, file properties, or user activity. So we propose a predictive caching technique which reduce access latency and boost system performance by pre-fetching and storing pertinent data ahead of time in anticipation of incoming data accesses.
In this paper, a bridgeless buck PFC structure is presented. To Fulfill soft switching for the main switches an auxiliary circuitry is utilized. The main switches of the proposed converter operate under ZVS condition ...
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ISBN:
(数字)9798331533946
ISBN:
(纸本)9798331533953
In this paper, a bridgeless buck PFC structure is presented. To Fulfill soft switching for the main switches an auxiliary circuitry is utilized. The main switches of the proposed converter operate under ZVS condition and the auxiliary switch operate under ZCS condition. The proposed topology operates at Discontinuous conduction mode (DCM) leading to intrinsic PFC capability. A $120 \mathrm{~W}, 100 \mathrm{kHz}$ prototype is designed and simulated to validate theoretical analysis using PSIM software. The results show ${9 7 \%}$ efficiency and fully soft switching operation.
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