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Optimizing high-utility item mining using hybrid dolphin echolocation and Boolean grey wolf optimization

Journal of Ambient Intelligence and Humanized computing 2023年第3期14卷 2327-2339页

作者： Pazhaniraja, N. Sountharrajan, S. Suganya, E. Karthiga, M. School of Computing and Science VIT Bhopal University Madhya Pradesh Bhopal India Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India Department of Information Technology Sri Sivasubramaniya Nadar College of Engineering Tamil Nadu Chennai India Bannari Amman Institute of Technology Tamilnadu Sathyamangalam India

High-utility item-set mining has become a very crucial topic of research in recent times. It is used to find profitable products utilizing both profit factors and the quantity as opposed to the association rule mining or the frequent item-set mining. There are many algorithms that are proposed for mining, such high-utility item-sets, and almost all algorithms will need to grip an exponential search space for learning the high-utility item-sets. To handle the exponential search space, metaheuristic algorithms are used to find optimal solutions. Here, an optimization method depending on the grey wolf optimization and dolphin echolocation-optimization has been proposed for finding high-utility item-sets. The grey wolf optimization algorithm can be an interesting one owing to the strategy of group foraging. All conventional grey wolf optimization will deal with the problems of continuous optimization. In dolphin echolocation-optimization, as soon as the dolphin manages to reach the food, the search is reduced, and there is an increasing click made that directs food to the site where food is. The procedure also feigns dolphin echolocation by means of preventive exploration, and this is relational its target distance. In connection to the problems in optimization, there can be a particular features-set, which include progress of various hunting preys that sing echo sounding among dolphins, those having problems in answering. A hybrid dolphin echolocation-optimization (hybrid dolphin echolocation-binary grey wolf optimization) is proposed with a novel mechanism for finding global solutions. In this work, hybrid dolphin echolocation-binary grey wolf optimization algorithm is proposed. The dolphin echolocation-optimization had taken as it can be a promising solution and the Boolean format of grey wolf optimization is used. It works as a global search solution to distinguish the high-utility item-sets. The results prove that the dolphin echolocation-binary grey wolf optimizat

关键词： Data mining

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Exploiting dataflow to extract Java instruction level parallelism on a tag-based multi-issue semi in-order (TMSI) processor 20

Exploiting dataflow to extract Java instruction level parall...

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20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006

作者： Wang, Hai-Chen Yuen, Chung-Kwong Dept. of Computer Science School of Computing National University of Singapore 3 Science Drive 2 Singapore 117543 Singapore

ISBN: (纸本)1424400546

To design a Java processor with traditional modern processor architecture, the Instruction Level Parallelism (ILP) is not readily exploitable due to stack operands dependencies. This paper presents a dataflow-based instruction tagging scheme. With instruction tagging, the independent bytecode instruction groups with stack dependences are identified. The different bytecode instruction group can be executed in parallel because there are no stack dependences among them. With the instruction tagging scheme, we propose a tag-based multi-issue semi-in-order (TMSI) Java processor. The processor takes advantage of instruction-tagging and stack-folding to generate the tagged register-based instructions. When the tagged instructions are ready, they are bundled out-of-order depending on data availability to form VLIW-like instruction words and issued in-order. To achieve high performance, a VLIW engine is employed. We have conducted some experiments in our TMSI simulation environment using SPECjvm98 and Linpack workload. The results indicate that the proposed processor has good performance gain. © 2006 IEEE.

关键词： Program processors

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A Case Study of Developing an Intelligent Management System for Energy Internet 4

A Case Study of Developing an Intelligent Management System ...

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4th IEEE International Conference on Energy Internet, ICEI 2020

作者： Chi, Lian Zhao, Zezheng Xia, Chunqiu Chang, Xiaomin Nanjing University of Information Science and Technology Business School China University of Sydney School of Computer Science Centre for Distributed and High Performance Computing Australia

ISBN: (纸本)9780738105000

Energy Internet (EI) has drawn increasingly interests in related industries. The implement of EI is a milestone on the road-map to promote the revolution of both energy production and consumption, which is important to achieve sustainable energy development. This paper investigates the possibility on establishing the EI by integrating application-level intelligent management system with traditional energy grid in neighbourhood scale. As a new energy utilisation model, EI realises the deep integration between energy industry and information and communications technology (ICT) in order to optimise regional energy management and optimal dispatch. With the support of Internet of things technology and big data technology, this system plays an important role in coordinating management and scheduling while realising the interaction between market entities and end-users at the same time. This paper reviews and conducts in-depth research on the background, concept and technical model of EI, and also discusses the implementation of EI in a practical industrial parks. © 2020 IEEE.

关键词： Internet of Energy

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Efficient and Secure IoT Based Smart Home Automation Using Multi-Model Learning and Blockchain Technology

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computer Modeling in Engineering & sciences 2024年第6期139卷 3387-3415页

作者： Nazik Alturki Raed Alharthi Muhammad Umer Oumaima Saidani Amal Alshardan Reemah M.Alhebshi Shtwai Alsubai Ali Kashif Bashir Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Computer Science and Engineering University of Hafr Al-BatinHafar Al-BatinSaudi Arabia Department of Computer Science&Information Technology The Islamia University of BahawalpurBahawalpurPakistan Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUK Woxsen School of Business Woxsen UniversityHyderabadIndia Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon

The concept of smart houses has grown in prominence in recent *** challenges linked to smart homes are identification theft,data safety,automated decision-making for IoT-based devices,and the security of the device *** home automation systems try to address these issues but there is still an urgent need for a dependable and secure smart home solution that includes automatic decision-making systems and methodical *** paper proposes a smart home system based on ensemble learning of random forest(RF)and convolutional neural networks(CNN)for programmed decision-making tasks,such as categorizing gadgets as“OFF”or“ON”based on their normal routine in *** have integrated emerging blockchain technology to provide secure,decentralized,and trustworthy authentication and recognition of IoT *** system consists of a 5V relay circuit,various sensors,and a Raspberry Pi server and database for managing *** have also developed an Android app that communicates with the server interface through an HTTP web interface and an Apache *** feasibility and efficacy of the proposed smart home automation system have been evaluated in both laboratory and real-time *** is essential to use inexpensive,scalable,and readily available components and technologies in smart home automation ***,we must incorporate a comprehensive security and privacy-centric design that emphasizes risk assessments,such as cyberattacks,hardware security,and other cyber *** trial results support the proposed system and demonstrate its potential for use in everyday life.

关键词： Blockchain Internet of Things(IoT) smart home automation cybersecurity

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Managing information quality in e-science: The qurator workbench 07

Managing information quality in e-science: The qurator workb...

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SIGMOD 2007: ACM SIGMOD International Conference on Management of Data

作者： Missier, Paolo Embury, Suzanne M. Greenwood, Mark Preece, Alun Jin, Binling School of Computer Science University of Manchester Manchester United Kingdom Dept. of Computing Science University of Aberdeen United Kingdom

ISBN: (纸本)1595936866

Data-intensive e-science applications often rely on third-party data found in public repositories, whose quality is largely unknown. Although scientists are aware that this uncertainty may lead to incorrect scientific conclusions, in the absence of a quantitative characterization of data quality properties they find it difficult to formulate precise data acceptability criteria. We present an Information Quality management workbench, called Qurator, that supports data experts in the specification of personal quality models, and lets them derive effective criteria for data acceptability. The demo of our working prototype will illustrate our approach on a real e-science workflow for a bioinformatics application.

关键词： Information management

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A novel method for detecting occluded object by multiple camera arrays

A novel method for detecting occluded object by multiple cam...

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2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

作者： Pei, Zhao Zhang, Yanning Yang, Tao Chen, Xida School of Computer Science Northwestern Polytechnical University Xi'an Shaanxi China Department of Computing Science University of Alberta Edmonton Canada

ISBN: (纸本)9781467300223

For many object detection methods, occlusion is a challenge problem and researchers have been spending a lot of time on solving it. Recently, by using synthetic aperture imaging with a camera array the occluded objects can be successfully detected, but may fail when the depth between objects is too small. In this paper, we proposes a novel multi-object detection method using multiple camera arrays. Our detection algorithm calibrates two camera arrays based on a simple shift transformation. And also, the object can be shown in two different sides of the view from each camera array. Compare with one camera array synthetic aperture detection, our method can handle the small depth difference between the objects. What is more, instead of focusing on parallel plane, our method can focus on tilted plane. The experimental results show that the proposed method has a good performance and can successfully detect the objects within a small depth range. © 2012 IEEE.

关键词： Object detection

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Comparative Analysis of Cloud computing and the Gig Economy Pricing Strategies

Comparative Analysis of Cloud Computing and the Gig Economy ...

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2024 International Conference on Innovative computing, Intelligent Communication and Smart Electrical Systems, ICSES 2024

作者： Jothish Kumar, M. Reddy, Gajulapalli Venkata Karthik Kumar Iyapparaja Nowritha, S. School of Computer Science Engineering and Information Systems Vit Vellore Department of Smart Computing Tamil Nadu Vellore India School of Computer Science Engineering and Information Systems Vit Vellore Tamil Nadu Vellore India School of Computer Science Engineering and Information Systems Vit University Department of Smart Computing Tamil Nadu Vellore India

ISBN: (纸本)9798331543617

Cloud computing services and gig economy platforms vary in flexibility, efficiency, and scalability due to their pricing schemes. Cloud computing services provide flexibility and cost control via pay-as-you-go, subscription, and freemium models. Like gig economy platforms, workers and customers pay for task completion, time-based contracts, and premium services. Assessing how successfully different pricing techniques fulfil varied demands, from short-term initiatives to long-term commitments, requires identifying their strengths and weaknesses. The goal is to evaluate these models' capacity to meet shifting demand, save money, and scale. The methodology also assesses cost predictability and company and consumer advantages of each pricing structure. The comparison seeks to improve resource allocation and financial planning by revealing how various pricing systems function in different circumstances. The research helps decision-makers use cloud services or gig economy platforms for different operational purposes by emphasizing their economic consequences. From datasets, simulated pricing model data was examined. The first example includes settings such as Hours Used (5-25), Pay-as-You-Go (10-50 USD), and Subscription-Based (30 USD). The second instance has Job Size (Resources) from 5 to 25, Freemium Model (USD) from 10 to 30, and Usage-Based Pricing (USD) from 10 to 50. © 2024 IEEE.

关键词： Cloud platforms

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A voice gateway system based on P2P SIP VoIP

A voice gateway system based on P2P SIP VoIP

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2011 6th International Conference on Pervasive computing and Applications, ICPCA 2011

作者： Liao, Xiaofei Jin, Hai Shu, Chang Services Computing Technology and System Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781457702082

Introducing the P2P (Peer-to-Peer) technology into SIP (Session Initiation Protocol) networks can improve VoIP (Voice on Internet Protocol) system's reliability and scalability, and reduce the operating costs. In order to provide better and more comprehensive services in VoIP system, it is necessary to communicate with the traditional telecommunications networks, including PSTN (Public Switched Telephone Network), by a voice gateway. The voice gateway system for P2P-based SIP VoIP builds the connection, and transforms signaling and media, between IP service network and PSTN. SIP-in-P2P is implemented in voice gateway system, using DHT (Distributed Hash Table) scheme to connect VGW (Voice Gateway) nodes in the P2P SIP network. Based on the GWMN (Gateway Management Node) protocol, the system can manage VGW nodes in the management domain, and designed the discovery strategies and load balancing strategies to improve the performance. Results indicate that the voice gateway system performs with good reliability, scalability, interoperability and feasibility. © 2011 IEEE.

关键词： Operating costs

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Proposing Model for Classification of Malicious SQLi Code Using Machine Learning Approach 1

Proposing Model for Classification of Malicious SQLi Code Us...

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1st International Conference on Innovative Engineering sciences and Technological Research, ICIESTR 2024

作者： Shah, Imdad Ali Jhanjhi, N.Z. Brohi, Sarfraz Nawaz Taylor's University School of Computing Science Malaysia Scs Taylor's University School of Computer Science Malaysia University of Bristol United Kingdom

ISBN: (纸本)9798350348637

In today's digital landscape, we need to pay significant attention to identifying flaws in web-based applications. Most online applications use browsers to access data that belongs to web-based applications. The victim industry and industry losses increase in the perspective of SQL injection attacks. at the same time, the software market size has increased from 2019 to 2023, as the number of SQL injection attacks has grown in the same years. Many database-driven websites work in the market, and there is no mechanism to block another input, and there is a longer chance of injecting malicious SQL code into the database. The hackers injected through string commands and functions of SQL (Structure Query Language) due to the dynamic disregard of this command in the runtime. The security community has developed several methods for detecting software vulnerabilities, such as supervised, semi-supervised, deep learning, and machine learning. Given our literature, successful and effective vulnerability identification models require for the users. OWASP has the top 10-2021 vulnerabilities, as the numbers 07 and 08 were significant code injection attacks found in our literature review as critical, and 20% of detection models work in the software industry on machine Learning basis. The review's findings demonstrated that studies create new SQL injection attack datasets using machine learning techniques and *** proposed model is working on a machine learning basis to identify two vulnerabilities of OWASP's top-ten 2021 No: 7 and 8: (1) identification and authentication failures and (2) software and data integrity failures. Both vulnerabilities are related to SQL injection. Further, this model works as a tool for identifying vulnerabilities in input data in the runtime. Support Vector Machine (SVM), K-nearest neighbours Random Forest (RF) and Random Forest (RF). RF provides higher accuracy due to its feature extraction and classification process and trained for classificatio

关键词： Adversarial machine learning

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The multi-relational skyline operator

The multi-relational skyline operator

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23rd International Conference on Data Engineering, ICDE 2007

作者： Jin, Win Ester, Martin Hu, Zengjian Han, Jiawei School of Computing Science Simon Fraser University Canada Department of Computer Science University of Illinois Urbana-Champagne United States

ISBN: (纸本)1424408032

Most of the existing work on skyline query has been extensively used in decision support, recommending systems etc, and mainly focuses on the efficiency issue for a single table. However the data retrieved by users for the targeting skylines may often be stored in multiple tables, thus require to perform join operations among tables. As a result, the cost on computing skylines on the joined table will be increased dramatically due to its potentially increasing cardinality and dimensionality. In this paper, we systematically study the skyline operator on multi-relational databases, and propose solutions aiming to seamlessly integrating state-of-the-art join methods into skyline computation. Our experiments not only demonstrate that the proposed methods are efficient, but also show the promising applicability of extending skyline operator to other typical database operators such as join and aggregates. © 2007 IEEE.

关键词： Relational database systems

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