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Artificial Bee Colony with Cuckoo Search for Solving Service Composition

Intelligent Automation & Soft Computing 2023年第3期35卷 3385-3402页

作者： Fadl Dahan Abdulelah Alwabel Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Sciences Faculty of Computing and Information Technology AlturbahTaiz UniversityTaiz9674Yemen Department of Computer Sciences College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia

In recent years,cloud computing has provided a Software As A Service(SaaS)platform where the software can be reused and applied to fulﬁll compli-cated user demands according to speciﬁc Quality of Services(QoS)*** user requirements are formulated as a workﬂow consisting of a set of ***,many services may satisfy the functionality of each task;thus,searching for the composition of the optimal service while maximizing the QoS is formulated as an NP-hard *** work will introduce a hybrid Artiﬁcial Bee Colony(ABC)with a Cuckoo Search(CS)algorithm to untangle service composition *** ABC is a well-known metaheuristic algorithm that can be applied when dealing with different NP-hard problems with an outstanding record of ***,the ABC suffers from a slow convergence ***,the CS is used to overcome the ABC’s limitations by allowing the abandoned bees to enhance their search and override the local *** proposed hybrid algorithm has been tested on 19 datasets and then compared with two standard algorithms(ABC and CS)and three state-of-the-art swarm-based composition *** addition,extensive parameter study experiments were conducted to set up the proposed algorithm’s *** results indicate that the proposed algorithm outperforms the standard algorithms in the three comparison criteria(bestﬁtness value,averageﬁtness value,and average execution time)overall datasets in 30 different ***,the proposed algorithm also exhibits better performance than the state–of–the–art algorithms in the three comparison criteria over 30 different runs.

关键词： Cloud computing web service composition artiﬁcial bee colony cuckoo search

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Identification of Weather Phenomena Based on Lightweight Convolutional Neural Networks

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computers, Materials & Continua 2020年第9期64卷 2043-2055页

作者： Congcong Wang Pengyu Liu Kebin Jia Xiaowei Jia Yaoyao Li Faculty of Information Technology Beijing University of TechnologyBeijing100124China Beijing Laboratory of Advanced Information Networks Beijing100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of TechnologyBeijing100124China Department of Computer Science and Engineering University of MinnesotaTwin CitiesUSA

Weather phenomenon recognition plays an important role in the field of ***,weather radars and weathers sensor have been widely used for weather ***,given the high cost in deploying and maintaining the devices,it is difficult to apply them to intensive weather phenomenon ***,advanced machine learning models such as Convolutional Neural Networks(CNNs)have shown a lot of promise in meteorology,but these models also require intensive computation and large memory,which make it difficult to use them in *** practice,lightweight models are often used to solve such ***,lightweight models often result in significant performance *** this end,after taking a deep dive into a large number of lightweight models and summarizing their shortcomings,we propose a novel lightweight CNNs model which is constructed based on new building *** experimental results show that the model proposed in this paper has comparable performance with the mainstream non-lightweight model while also saving 25 times of memory *** memory reduction is even better than that of existing lightweight models.

关键词： Deep learning convolution neural networks lightweight models weather identification

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Enhancing Cybersecurity with Transformers: Preventing Phishing Emails and Social Media Scams 7

Enhancing Cybersecurity with Transformers: Preventing Phishi...

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7th IEEE Conference on Dependable and Secure Computing, DSC 2024

作者： Al Daoud, Essam Al Daoud, Laith Asassfeh, Mahmoud Al-Shaikh, Ala'a Al-Sherideh, Ala'a Saeb Afaneh, Suha Zarqa University Department of Cybersecurity Zarqa Jordan Jordan University of Science and Technology Computer Information System Jordan

ISBN: (纸本)9798331540289

In this study, the enhancement of cybersecurity through the use of transformer models is explored, specifically focusing on the prevention of phishing emails and social media scams. Two modern datasets were utilized: the Phishing_Pot dataset, which provided phishing emails across 19 languages, and a collection of legitimate emails. Additionally, a dataset from Baaz, an Arabic social media platform, was compiled. Four approaches to phishing detection were compared: zero-shot learning with large language models (LLMs), transformers for feature extraction followed by random forest classification, fine-tuning of small language models (SLMs) on newly generated datasets, and an ensemble method combining the top models from the previous approaches. The experiments demonstrated that LLMs such as GPT-4o, Gemini 1.5, and Claude 3 achieved high accuracy, while SLMs showed improved performance post fine-tuning. The ensemble methods can be used to enhance the accuracy of fine-tuned SLM for phishing detection and scam prevention, reaching an accuracy of 98.50% for the first dataset and 95.25% for the second. © 2024 IEEE.

关键词： Phishing

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Instance-based Deep Transfer Learning on Cross-domain Image Captioning 21

Instance-based Deep Transfer Learning on Cross-domain Image ...

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21st International Electronics Symposium, IES 2019

作者： Perdana, Rizal Setya Ishida, Yoshiteru Toyohashi University of Technology Department of Computer Science and Engineering Toyohashi Japan Department of Information System Faculty of Computer Science Brawijaya University Malang Indonesia

ISBN: (纸本)9781728144498

Image captioning task achieves imposing result in generating text description of image by training on the large image and sentence pairs dataset (e.g., MSCOCO). Applied the large publicly available datasets to the specific new task will lead to the problem known as domain shifting due to the different probability distribution. In this research, we propose a Multimodal Instance-based Deep Transfer Learning (MIBTL) for cross-domain image captioning. Generally, transferring knowledge from the source domain into the target domain is pertinent due to the limited number of the dataset from the target domain. The limited number of the dataset also lead to a problem called overfitting. The instance-based strategy intuitively takes into account the influence of data by selecting the most representative data from source domain as the supplement for training on the target domain. We employ deep hash binary code representation of image and text pair to determine the distance between two data points. The experiment conducted by two types of transfer condition includes a slight shift (from MSCOCO to Flickr30k) and significant shift (from MSCOCO to CUB-200 and Oxford-102). The result shows that MIBTL can outperform other baselines to achieve state-of-the-art performance in cross-domain image captioning transfer learning. © 2019 IEEE.

关键词： Probability distributions

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Analysis of energy preservation technique based on ACR-LEACH and Cyclic LEACH

Analysis of energy preservation technique based on ACR-LEACH...

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作者： Sofia, V.S. Anita Arockiasamy, S. Thangaiah, P. Ranjit Jeba Department of Computer Applications School of Computer Science and Technology Karunya University Coimbatore64114 India Department of Information System University of Nizwa Nizwa Oman

Wireless sensor networks (WSNs) is an emerging field which has enlarged the grasping attention from both the research area and authentic users. The risky facts relating to energy consumption reduction are determined;network lifespan can be prolonged to sensible times since sensor nodes are typically power constrained device. This work aims to contribute the development of an energy preservation technique based on active clustering rule for LEACH (ACR-LEACH) and a cyclic model called Cyclic LEACH. The proposed ACR-LEACH performs the choice of the cluster head (CH), detects the changing patterns, and disregards the redundant information. Cyclic LEACH detects the ideal nodes and performs the vague off which improvise the lifespan of the network. The experimental results shows that the proposed ACR and Cyclic LEACH protocol results better packet delivery ratio, throughput with lesser energy consumption and overhead than the existing LEACH and R-HEED protoc. © 2017 Inderscience Enterprises Ltd.

关键词： Energy utilization

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Comprehensive curriculum of programming for engineers, its teaching models and in-lab monitoring technique

Comprehensive curriculum of programming for engineers, its t...

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International MultiConference of Engineers and computer Scientists 2015, IMECS 2015

作者： Satoskar, Mohit Mali, Sagar Department of Computer Science and Information Technology Ramrao Adik Institute of Technology Mumbai India Computer Programming and System Software Design Area of Computer Science at Kolhapur Maharashtra India

ISBN: (纸本)9789881925329

Issues related to the curriculum design of C programming language is analysed. Aspects and necessity of programming for engineers is discussed. The enhanced outlay of programming for engineers and generating the curriculum is presented. Relativity and dependency briefly highlighted. A superlative teaching model of computer languages is discussed along with its principles. In-Lab monitoring technique is developed successfully using client-server architecture which ensures learner live workshop progress. It is shown how the programming for engineer's curriculum design and techniques help to create highest quality outcome.

关键词： Curricula

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Higher-Order Level-Set Method and Its Application in Biomolecular Surfaces Construction

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Journal of computer Science & technology 2008年第6期23卷 1026-1036页

作者： Chandrajit L. Bajaj 徐国良张琴 CVC Department of Computer ScienceInstitute for Computational Engineering and Sciences University of Texas at Austin LSEC Institute of Computational MathematicsAcademy of Mathematics and System Sciences Chinese Academy of Sciences School of Sciences Beijing Information Science and Technology University

We present a general framework for a higher-order spline level-set （HLS） method and apply this to biomolecule surfaces construction. Starting from a first order energy functional, we obtain a general level set formulation of geometric partial differential equation, and provide an efficient approach to solving this partial differential equation using a C2 spline basis. We also present a fast cubic spline interpolation algorithm based on convolution and the Z-transform, which exploits the local relationship of interpolatory cubic spline coefficients with respect to given function data values. One example of our HLS method is demonstrated their individual atomic coordinates which is the construction of biomolecule and solvated radii as prerequisites. surfaces （an implicit solvation interface） with

关键词： higher-order spline level-set geometric partial differential equation biomolecular surface

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A model for Customer Complaint Management system using SOA

A model for Customer Complaint Management System using SOA

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15th WSEAS International Conference on computers, Part of the 15th WSEAS CSCC Multiconference

作者： Abd El-Sadek Afify, Esraa Abd El-Aziz Hegazy, Abd El-Fatah A. El-Sayed, Mona Ahmed Kadry Management Information System Department Modern Academy for Computer Science and Management Technology Cairo Egypt Computer Science Department CCiT Arab Academy for Science and Technology Cairo Egypt

ISBN: (纸本)9781618040190

Customer Complaint is important information reflecting customers sound and is a primary measure of customer dissatisfaction. An Effective and Efficient response to these complaints is an essential index of organization's performance. The presented model for the Customer Complaint Management system will have the ability to minimize customers' dissatisfaction and on the other hand it can encourage customers to participate in controlling the quality of the service provided. In this paper the researcher tries to improve the relationship between Citizens and the Social Solidarity by presenting a new model of e-Complaint webservice based on SOA. The Proposed model aims to develop a Service-Oriented framework for e-Complaint Web-based that targets the charity lifecycle. The cycle starts with distribution of different services that are provided through charity. Those services are applied for different people based on their needs. Due to different obstacles those services may not be applied in appropriate way. Therefore, a need for a system that could detect Citizen's problems and provide them with suitable feedback is raised. Also, this paper describes the Complaint Management system oriented by Web-application which will be used by Citizens in order to make complaints about their dissatisfaction on provided services. This system will be able to handle complaints by recording and giving feedback for each raised complaint. Results of the study can be a good reference to find out users needs from e-complaint and the handling process of this complaint in the body of any organization.

关键词： Feedback

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Hyper Elliptic Curve Based Certificateless Signcryption Scheme for Secure IIoT Communications

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computers, Materials & Continua 2022年第5期71卷 2515-2532页

作者： Usman Ali Mohd Yamani Idna Idris Jaroslav Frnda Mohamad Nizam Bin Ayub Roobaea Alroobaea Fahad Almansour Nura Modi Shagari Insaf Ullah Ihsan Ali Department of Computer System and Technology Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala Lumpur50603Malaysia Department of Computer Science University of SwatSaidu Sharif19130Pakistan Center for Research in Mobile Cloud Computing University of MalayaKuala Lumpur50603Malaysia Department of Quantitative Methods and Economic Informatics Faculty of Operation and Economics of Transport and CommunicationsUniversity of Zilina01026 ZilinaSlovakia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Sciences and Arts in RassQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science Hamdard Institute of Engineering and TechnologyIslamabad44000Pakistan

Industrial internet of things (IIoT) is the usage of internet of things(IoT) devices and applications for the purpose of sensing, processing andcommunicating real-time events in the industrial system to reduce the unnecessary operational cost and enhance manufacturing and other industrial-relatedprocesses to attain more profits. However, such IoT based smart industriesneed internet connectivity and interoperability which makes them susceptibleto numerous cyber-attacks due to the scarcity of computational resourcesof IoT devices and communication over insecure wireless channels. Therefore, this necessitates the design of an efficient security mechanism for IIoTenvironment. In this paper, we propose a hyperelliptic curve cryptography(HECC) based IIoT Certificateless Signcryption (IIoT-CS) scheme, with theaim of improving security while lowering computational and communicationoverhead in IIoT environment. HECC with 80-bit smaller key and parameterssizes offers similar security as elliptic curve cryptography (ECC) with 160-bitlong key and parameters sizes. We assessed the IIoT-CS scheme security byapplying formal and informal security evaluation techniques. We used Realor Random (RoR) model and the widely used automated validation of internet security protocols and applications (AVISPA) simulation tool for formalsecurity analysis and proved that the IIoT-CS scheme provides resistance tovarious attacks. Our proposed IIoT-CS scheme is relatively less expensivecompared to the current state-of-the-art in terms of computational cost andcommunication overhead. Furthermore, the IIoT-CS scheme is 31.25% and 51.31% more efficient in computational cost and communication overhead,respectively, compared to the most recent protocol.

关键词： IoT security authentication protocols hyperelliptic curve cryptography certificateless public key cryptography

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Crowd Detection Management system 2

Crowd Detection Management System

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2nd International Conference on computer Applications and information Security, ICCAIS 2019

作者： Shalash, Wafaa Mohib Alzahrani, Azzah Abdullah Al-Nufaii, Seham Hamad Information Technology Department King Abdul-Aziz University Collage of Computers and Information Technology Jeddah Saudi Arabia Faculty of Computers and Information System Computer Science Department Benha University Benha Egypt

ISBN: (纸本)9781728101088

Smart cities aim not only to make people's lives more enjoyable but also safer using advanced technology. Being in a crowded community spaces such as schools, colleges, stadiums, subway stations or holy spots on Pilgrimage impacts not only the level of human convenience but above all the threat of human security. An abnormal crowd conduct can lead to push, mass panic, stampede, crowd-crush, and causing an overall control loss. The current work introduced a mobile-based crowd abnormal behavior detection and management system. The system consists of two main parts;firstly, the server-side application connected to IP surveillance camera(s) to detect any abnormal crowd behavior and also crowd level in the entrance gates location(s), while the second main part is a mobile application with different users rights to receive an alarm from the server-side application in case of increasing crowd level or abnormal movement. The suggested framework provides an effective method to connect and alert all the system users immediately, preventing danger resulting from abnormal crowd behavior. © 2019 IEEE.

关键词： Subway stations

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