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8th IEEE international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2023

作者： Sugumaran, D. Mahaboob John, Y.M. Mary C, Jansi Sophia Joshi, Kireet Manikandan, G. Jakka, Geethamanikanta Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Information Technology Tamil Nadu Chennai India Mahendra College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Salem India Idhaya Engineering College for Women Department of Computer Science and Engineering Tamilnadu Kallakurichi India Graphic Era Deemed to Be University Department of Computer Science Engineering Uttrakhand Dehradun India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Electronics and Communication Engineering Thandalam India University of the Cumberlands Department of Information Technology FremontCA United States

ISBN: (纸本)9798350347791

Cybersecurity is an increasingly critical aspect of modern society, with cyber attacks becoming more sophisticated and frequent. Artificial intelligence (AI) and neural network models have emerged as promising tools for improving cyber defense. this paper explores the potential of AI and neural network models in cybersecurity, focusing on their applications in intrusion detection, malware detection, and vulnerability analysis. Intruder detection, or "intrusion detection,"is the process of identifying Invasion of Privacy to a computer system. AI-based security systems that can spot intrusions (IDS) use AI-powered packet-level network traffic analysis and intrusion detection patterns to signify an assault. Neural network models can also be used to improve IDS accuracy by modeling the behavior of legitimate users and detecting anomalies. Malware detection involves identifying malicious software on a computer system. AI-based malware machine-learning algorithms are used by detecting systems to assess the behavior of software and recognize patterns that indicate malicious activity. Neural network models can also serve to hone the precision of malware identification by modeling the behavior of known malware and identifying new *** analysis involves identifying weaknesses in a computer system that could be exploited by attackers. AI-based vulnerability analysis systems use machine learning algorithms to analyze system configurations and identify potential vulnerabilities. Neural network models can also be used to improve the accuracy of vulnerability analysis by modeling the behavior of known vulnerabilities and identifying new ***, AI and neural network models have significant potential in cybersecurity. By improving intrusion detection, malware detection, and vulnerability analysis, they can help organizations better defend against cyber attacks. However, these technologies also present challenges, including a lack of understanding of the impo

关键词： Neural network models

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Spatiotemporal Variation of Interception in an Agriculture Watershed—Tadepalligudem, West Godavari, India 26th

Spatiotemporal Variation of Interception in an Agriculture W...

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26th international conference on Hydraulics, Water Resources and Coastal engineering, HYDRO 2021

作者： Tammisetti, Rajkumar Talari, Reshma Chirasmayee, Savitha Department of Civil Engineering National Institute of Technology Andhra Pradesh Tadepalligudem543101 India

ISBN: (纸本)9789811991462

Interception refers to the quantity of rainfall prevented by vegetation from reaching the soil surface, which is one of the significant and integral parts of the hydrological cycle. Most hydrological models depend on the water balance components, where the rainfall intercepted by vegetation is considered a loss. It is an essential and controlling parameter in hydrological modeling studies and flood forecasting analysis, thus establishing that its impacts at local, regional, and global scales are imminent. Remote sensing is one of the advanced techniques that helps generate a spatiotemporal variation of interception by vegetation canopy. the present study aimed to generate spatiotemporal variation interception maps for an agricultural watershed covering 53.75 km2 of the area near Tadepalligudem, West Godavari district, Andhra Pradesh. the study area is covered with vegetation cover that constitutes about 40–55% of the total catchment;thus, interception is a critical component in hydrological modeling studies in this watershed. Landsat 8 datasets acquired from USGS EarthExplorer during different months of 2020 are used in this study. Leaf area index (LAI) and canopy storage capacity (Smax) are the influential parameters in estimating canopy rainfall interception. the interception maps at varying spatial and temporal scales are generated using MATLAB programming platform. the result obtained gives a better understanding of the spatiotemporal variation of interception and its importance at a regional scale. the canopy rainfall interception model derived can be applied to various agriculture watersheds. Further, results obtained from the analysis can be used in rainfall–runoff modeling and water resource management studies. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Watersheds

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Parallel genetic programming: component object-based distributed collaborative approach

Parallel genetic programming: component object-based distrib...

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international conference on Information Networking

作者： I. Tanev T. Uozumi K. Ono Department of Computer Science and System Engineering Muroran Institute of Technology Muroran Japan

ISBN: (纸本)0769509517

We discuss the feasibility of applying the distributed collaborative approach for improving the computational performance of genetic programming (GP), implemented on cost-efficient clusters or the Internet. the proposed approach exploits the coarse grained inherent parallelism in GP among relatively autonomous subpopulations. the developed architecture of a distributed collaborative parallel GP (DCPGP) features a single, global migration broker and centralized manager of the semi-isolated subpopulations, which contribute to quick propagation of the globally fittest individuals among the subpopulations; this reduces the performance demands on the underlying communication network, and achieves dynamic scaling-up features. DCPGP exploits the distributed component object model (DCOM) as a communication paradigm, which as a true system model offers generic support for the issues of naming, locating and security of communicating entities of the developed architecture. Experimentally obtained speedup results show that close to linear speedup characteristics of the prototype of DCPGP are achieved on a network of 8 workstations.

关键词： Genetic programming Distributed computing Internet Parallel processing Computer architecture international collaboration Computer network management Communication networks Communication system security Prototypes

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A scalable contents distribution service using a java agent application framework

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2005年 3754卷 266-276页

作者： Lee, Kil-Hung Kim, Jae-Soo Shin, Yong-Hyeon Dept. of Computer Science and Engineering Seoul National Univ. of Tech. 172 Gongnung-2dong Nowon-gu Seoul139-743 Korea Republic of

ISBN: (纸本)3540296417

this paper presents a Java agent application framework and shows its example through the implementation of an agent application service. this framework comprised of agent, agent system, agent master and agent manager components. Each component is connected to others via an agent interface, and messages are passed through these interface points. By using this framework, it is possible to deploy a new agent application service with simple and efficient operation. Herein, we implemented the agent application service network using a Java agent application framework. Specifically, the implemented network was a contents distribution network using an agent service, and the network was both controlled and managed with the agent framework interface. In our test, the network service decreased network traffic while preserving reasonable quality through the adequate deployment and management of agent components. © IFIP international Federation for Information Processing 2005.

关键词： Java programming language

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Considering variations of network topology in optimal relay coordination using Time-Current-Voltage characteristic 17

Considering variations of network topology in optimal relay ...

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17th IEEE international conference on Environment and Electrical engineering (IEEE EEEIC) / 1st IEEE Industrial and Commercial Power Systems Europe conference (IEEE I and CPS Europe)

作者： Bayati, Navid Dadkhah, Akbar Sadeghi, S. H. H. Vahidi, Behrooz Milani, Ali Eftekhari Amirkabir Univ Technol Dept Elect Engn Tehran Iran Politecn Milan Dept Elect Engn Milan Italy

ISBN: (纸本)9781538639177

Power systems are usually subjected to some changes in connections during operation, which leads to varied short-circuit levels in different parts of them and Directional Overcurrent Relays (DOCRs) may be subjected to miscoordination by changing short circuit levels. therefore, all network topologies should be considered for coordination among overcurrent relays in a power system. Reduction of operating time of relays is highly important in a protection system. this paper uses the overcurrent relays with a time-current-voltage curve for coordination among overcurrent relays with respect to all the different topologies. this improves coordination results of the relays due to increasing number of variables and considering voltage of the relays. this paper uses a combination of Genetic algorithm (GA) and Linear programming (LP) for improving operating time and setting current due to the increased number of constraints for coordinating the overcurrent relays. the proposed method was implemented for an 8-bus system. Optimization results show a considerable reduction in the operating time of overcurrent relays and number of miscoordination, compared to conventional relays and the conventional optimization methods. In addition, coordination among DOCRs is maintained by changing topology of network.

关键词： overcurrent relay hybrid GA linear programming relay coordination non-standard curve component

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Image Inpainting using YOLOv8 and LaMa Model

Image Inpainting using YOLOv8 and LaMa Model

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Emerging Technology (INCET), international conference for

作者： Shorya Jain Vats Shivam Anupama.P. Bidargaddi Srivatsa Malipatil Kartik Patil Computer Science and Engineering KLE Technological University Hubballi India

ISBN: (数字)9798350361155

ISBN: (纸本)9798350361162

Image inpainting, a crucial component of computer vision, addresses challenges in image restoration, content cre-ation, and medical imaging. Traditional methods often struggle with complex scenes, prompting the integration of YOLOv8 for precise object detection and LaMa for generative inpainting. YOLOv8 identifies regions for inpainting, enhancing accuracy and speed. LaMa employs a latent space augmentation technique, generating contextually relevant content. the hybrid approach aims to improve inpainting quality and efficiency. In a rapidly evolving digital landscape, image inpainting finds applications in diverse domains. Our paper advances inpainting using YOLOv8 and LaMa, demonstrating superior accuracy and visual quality. Combining YOLOv8 for masking and LaMa for inpainting this paper has achieved some astonishing results.

关键词： Visualization Computer vision Accuracy Object detection Image restoration Biomedical imaging

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Improving Surgical Security using Artificial Intelligence and Deep Learning

Improving Surgical Security using Artificial Intelligence an...

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international conference of Electronics, Communication and Aerospace Technology (ICECA)

作者： Rakeem Shaikh Daksh Gupta S Malini Computer Science Specialization IOT Vellore Institute of Technology Vellore India Computer Science Vellore Institute of Technology Vellore India SCOPE Vellore Institute of Technology Vellore India

ISBN: (数字)9798350367904

ISBN: (纸本)9798350367911

the safety of the patient in the different stages of a surgical procedure is an important aspect as concerns risks that need to be catered for as well to avert untoward effects. this research considers Artificial Intelligence and Machine Learning technologies as a core mechanism that can be used to augment the surgical safety systems already in place that determine surgical patients’ risk of death while hospitalized and to also ameliorate pre-operative safety checks. the first approach focuses on traditional checklists by proposing an automated voice validation system of checklist items that uses the Gemini Application programming Interface (API) on python. this voice validation seeks to mitigate the coverage of human error in relation to the notice of the absence or overweight of the required documents. the second approach describes how machine learning algorithms are used to model a surgical risk predictor across wide bases of patients’ directories, past medical history, and lab tests. Categorical values were made engineering values, and patient were standardized of age with focus on elective surgeries only since emergency surgeries are excluded. For missing values, mean and median imputation was used and PCA for dimensionality reduction. To address the class imbalance issue, the Synthetic Minority Over-sampling Technique (SMOTE) was employed. For the fast and effective binary outcome classification, Support Vector Machine Classification (SVC) with hyperparameters optimized through the GridSearchCV. the concomitant use of speech recognition for checklist verification and ML methods to assess postoperative risk can significantly improve safety during surgical procedures, making it possible to entirely change the scope of preoperative procedures and patient organizational aspects of hospitals.

关键词： Machine learning algorithms Surgery Support vector machine classification Static VAr compensators Speech recognition Predictive models Security Application programming interfaces Python Principal component analysis

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Coordination of directional overcurrent relays that uses an ant colony optimization algorithm for mixed-variable optimization problems 17

Coordination of directional overcurrent relays that uses an ...

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17th IEEE international conference on Environment and Electrical engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017

作者： Rivas, Angel Esteban Labrador Pareja, Luis Alfonso Gallego Deparment of Electrical Engineering State University of Londrina Londrina PR Brazil

ISBN: (纸本)9781538639160

In this paper, the coordination of directional over-current relays (DOCRs) using an ant colony optimization (ACO) algorithm is presented. the ACO performed is an extension of the ACOR algorithm for continuous optimization to tackle mixed-variable optimization problems, reduced in two types of variables both continuous and categorical. the DOCRs problem is a non-linear programming problem (NLP), usually solved with a linear programing technique (LP) only considering the time dial setting (TDS) as a decision variable, without dealing with the non-linear problem of plus setting (PS), or solving the PS component using a heuristic technique. In this work, both TDS and PS are decision variables, TDS is considered continuous and PS categorical. Parameters are adjusted according to literature to guarantee performance. the ACO algorithm has proved high probability of solving a problem when a high number of function evaluations exist. For testing this methodology two transmission systems (3 and 8 Bus accordingly) were evaluated to compare with the literature demonstrating effectiveness of the algorithm. © 2017 IEEE.

关键词： Ant colony optimization

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Design and implementation of a new instrumentation and interface undergraduate course using LabVIEWTM myDAQ 125

Design and implementation of a new instrumentation and inter...

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125th ASEE Annual conference and Exposition

作者： Pecen, Reg Recayi Yildiz, Faruk Department of Engineering Technology Sam Houston State University HuntsvilleTX United States

An educational practice for many two-year and four-year engineering technology programs is the use of instrumentation and interfacing which employs real-time analog/digital signals from industrial environments supported by graphical-based data acquisition and control hardware and software tool such as LabVIEW™ from National Instruments. the Department of engineering Technology (ETEC) at Sam Houston State University is a new department which recently become an independent department separating from a well-established Department of Agriculture Science. the faculty are in the process of preparing necessary curriculum updates to apply for ABET-ETAC accreditation for the current B.S. in Electronics and Computer engineering Technology (ECET) and B.S. in Construction Management programs. One missing significant curriculum component of the ECET program is an instrumentation and data acquisition class that includes work within a hands-on laboratory and a requirement for rigorous design project activities. this new course serves as a core class for multiple degree programs in the department and it is one of the essential components for the employability of students, especially in electronics and computer engineering technology fields. the course is also an essential part of the electrical engineering technology program curricula. Within this course, students are expected to gain knowledge and hands-on skills on graphic-based programming, data acquisition, instrumentation, interface, signal conditioning, troubleshooting, control in industrial operations, and dealing with a variety of instrumentation applications the students will be required to apply as part of their main job duties. this paper describes course objectives, learning outcomes which are aligned with the ABET-ETAC criterion 3, and sample curriculum material which covers lecture, laboratory, and project activities. Student assessment and course improvements are also discussed. there are several expected outcomes fr

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GENERATING STYLISTICALLY CONSISTENT PRODUCT FORM DESIGNS USING INTERACTIVE EVOLUTIONARY PARAMETRIC SHAPE GRAMMARS

GENERATING STYLISTICALLY CONSISTENT PRODUCT FORM DESIGNS USI...

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the 7th international conference on Computer-Aided Industrial Design and Conceptual Design (CAID&CD’2006)

作者： Ho Cheong Lee Design Technology Research Centre School of Design The Hong Kong Polytechnic University

Interactive grammar based design systems (IGBDS) are capable of generating large numbers of alternative designs. Prior to the application of IGBDS, a set of rules should be defined based on the theoretical theories and practical experiences in designing the objects, or by analysing the existing sets of objects. However, due to the time constraints in developing theoretical theories, gaining the practical skills of experts is of qualitative in nature and stylistically inconsistent designs to be analysed, it is difficult to systematically derive a set of shape grammar rules in generating designs which fulfil specific requirements. To address this problem, this paper presents an IGBDS enhanced by evolutionary computing to evolve a set of grammar rules for product form design. In this research, the forms of a product are analysed to derive shape features in the form of shape grammar (SG) rules. the rules are then encoded as the code scripts of a genetic algorithm (GA) representation in order to generate new shape grammar rules. the parameters in GA representation are modified by genetic programming (GP) which is regulated by control planning strategies named "GP-GA-SG". the "GP-GA-SG" control planning strategy first defines ways on how the control variables in GP should modify the variables in GA representation. the "GP-GA-SG" control planning strategy then defines ways on how the control variables in GA should modify the variables in SG representation. the SG rules modified by the GA variables define a new combination of shape features for alternative designs. In this way, traditional shape grammar is extended to an interactive context in which generative and evolutionary computing methods are combined. Both product component design as well as product configuration are supported in this framework. In this paper, we describe how this framework is formulated and discuss its potentials in supporting product design, with initial examples showing how the system is intended

关键词： evolutionary shape grammars, product form design, genetic programming, genetic algorithm

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