The Real-Time Traffic Prediction and Optimization System may be described as enriched, spacious, algorithm-oriented, and designed to help contribute to the anti-symptomatic deprievement of increasingly congested urban...
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ISBN:
(数字)9798331527549
ISBN:
(纸本)9798331527556
The Real-Time Traffic Prediction and Optimization System may be described as enriched, spacious, algorithm-oriented, and designed to help contribute to the anti-symptomatic deprievement of increasingly congested urban traffic streams. The system with the help of integrating real time data of numerous sources like GPS tracker, traffic sensor as well as weather API, the system using advanced machine learning algorithm in order to predict traffic accurately and optimize routes based on it. This predictive capability then greatly improves the flow of vehicles, the time taken, and the occurrence of choke points. The structure of the system is fully based in the cloud, which makes it easy to scale and very compatible with other systems to amalgamate a vast array of data inputs with high dependability. Fully customizable and intuitive control panel gives live view of traffic, offers actionable stats, and instant control mechanisms to traffic operators to make correct decisions quickly. Congestion in urban areas has an influence on time taken to cover a certain distance, fuel consumption and emission to the atmosphere. On the basis of the above analysis, this work extends a Real-Time Traffic Prediction and Optimization System (RTPOPS) using machine learning approach to predict the traffic density and to further optimize traffic signals and routes. The used system demonstrated successful management and reduction of vehicle density by 30%, and increasing speed limits by 18% and proved that Intelligent Urban Mobility has the potential to be achieved.
Population clustering methods, which consider the position and fitness of individuals to form sub-populations in multi-population algorithms, have shown high efficiency in tracking the moving global optimum in dynamic...
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Tele-haptics, telemedicine, including training, education, and amusement are a few examples of applications for the sense of touch (haptics). A wide range of multi- and cross-disciplinary sectors are now using and res...
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Hearing-impaired people cannot communicate with normal people easily. Most people are not aware of sign language recognition. To support this, machine learning and CV can be used to create an impact on the impaired. T...
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This study introduces a novel steganographic model that synthesizes Steganography by Cover Modification (CMO) and Steganography by Cover Synthesis (CSY), enhancing both security and undetectability by generating cover...
The cutting-edge telemedicine program presents a game-changing alternative for patients seeking ENT (ear, nose, and throat) consultations from a distant location. Utilizing the capabilities of Raspberry Pi devices, po...
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Business districts are urban areas that have various functions for gathering people,such as work,consumption,leisure and *** to the dynamic nature of business activities,there exists significant tidal effect on the bo...
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Business districts are urban areas that have various functions for gathering people,such as work,consumption,leisure and *** to the dynamic nature of business activities,there exists significant tidal effect on the boundary and functionality of business ***,effectively analyzing the tidal patterns of business districts can benefit the economic and social development of a ***,with the implicit and complex nature of business district evolution,it is non-trivial for existing works to support the fine-grained and timely analysis on the tidal effect of business *** this end,we propose a data-driven and multi-dimensional framework for dynamic business district ***,we use the large-scale human trajectory data in urban areas to dynamically detect and forecast the boundary changes of business districts in different time ***,we detect and forecast the functional changes in business *** results on real-world trajectory data clearly demonstrate the effectiveness of our framework on detecting and predicting the boundary and functionality change of business ***,the analysis on practical business districts shows that our method can discover meaningful patterns and provide interesting insights into the dynamics of business *** example,the major functions of business districts will significantly change in different time periods in a day and the rate and magnitude of boundaries varies with the functional distribution of business districts.
The virtual keyboard based on hand gesture recognition targets to develop an effective contactless system that delivers smooth typing experience using sophisticated hand tracking functions. The OpenCV and MediaPipe’s...
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ISBN:
(数字)9798331537012
ISBN:
(纸本)9798331537029
The virtual keyboard based on hand gesture recognition targets to develop an effective contactless system that delivers smooth typing experience using sophisticated hand tracking functions. The OpenCV and MediaPipe’s hand tracking module includes real-time image processing as part of this novel framework through which the hand movements are recorded and the finger movements are detected. The framework employs index- and middle-finger gestures to move through the keys, while short actions are produced by a keypress. This virtual keyboard works as a revolutionary input since device users no longer have to rely on physical keyboards which are contact-based. Some of the features of the system includes gesture-based input, real time keypress recognition, Caps Lock, switching between lower case and upper case and the ability to program special keys including space bar, back space and function toggles. It also reveals the presence of a dual-mode interface that enables users to make a transition between typing mode and number sequence recognition mode. On the other hand, the WPM and typing accuracy analyze the efficiency of the system. The functionality of this technology permits its implementation in various real world scenarios for various purposes ranging from the accessibility of applications to the people with mobility impairment extending to professional and recreational ones.
This study offers a thorough analysis of bottom-up parsing techniques, necessary for the creation and execution of compilers. Parsers such as SLR (Simple LR), LR (Canonical LR), LR(k) and LALR (Look-Ahead LR) are bott...
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ISBN:
(数字)9798331505462
ISBN:
(纸本)9798331505479
This study offers a thorough analysis of bottom-up parsing techniques, necessary for the creation and execution of compilers. Parsers such as SLR (Simple LR), LR (Canonical LR), LR(k) and LALR (Look-Ahead LR) are bottom-up and known for their efficiency and robustness in constructing parse trees from root to leaves during syntax analysis. This paper follows the evolution throughout history, theoretical bases, and real-world uses of these parsers. We examine the formal characteristics, contrast different bottom-up parsing methods, and investigate advanced subjects like error handling and optimization techniques. Furthermore, there is a review of recent developments and upcoming research paths in bottom-up parsing to provide a comprehensive grasp of their significance in syntactic analysis.
Recognizing and reducing the risks presented by malevolent actors in the realm of cyber security requires an awareness of post exploitation techniques. However, deThe study investigates post operational challenges thr...
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ISBN:
(数字)9798331540364
ISBN:
(纸本)9798331540371
Recognizing and reducing the risks presented by malevolent actors in the realm of cyber security requires an awareness of post exploitation techniques. However, deThe study investigates post operational challenges through a dynamic analysis of command-and-control frameworks (C2) fenders are finding it difficult to keep up with the rapid development of C2 frameworks. Using the MITRE ATT&CK framework as a guide, this study explores a popular C2 server: Metasploit. Through extensive research, deployment, and exploitation in a controlled environment, the strengths and weaknesses of each framework are assessed. Key metrics such as ease of installation, performance, security features, and community support are carefully researched to provide comprehensive insights. In addition, the project explores future frontiers by identifying potential modules that can enhance the capabilities of the selected C2 framework. By offering a detailed analysis, this study helps to understand the importance of the C2 frameworks in cyber security and provides valuable insights for security practitioners and researchers.
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