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检索条件"任意字段=Proceedings of the 7th International Conference on Algorithms, Computing and Systems"

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7th international Workshop on Human Factors in Modeling / Modeling of Human Factors (HuFaMo 2023)

Proceedings - 2023 ACM/IEEE International Conference on Mode...

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proceedings - 2023 ACM/IEEE international conference on Model Driven Engineering Languages and systems Companion, MODELS-C 2023 2023年 726-728页

作者： Blouin, Arnaud Abrahao, Silvia Palanque, Philippe Selic, Bran

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Game theoretic Modeling of Security and Interdependency in a Public Cloud

Game Theoretic Modeling of Security and Interdependency in a...

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IEEE international conference on Cloud computing, CLOUD

作者： Charles A. Kamhoua Luke Kwiat Kevin A. Kwiat Joon S. Park Ming Zhao Manuel Rodriguez Air Force Research Laboratory Cyber Assurance Branch Rome NY Department of Industrial and Systems Engineering University of Florida Gainesville FL Syracuse University School of Information Studies (iSchool) Syracuse NY Florida International University School of Computing and Information Sciences Miami FL

As cloud computing thrives, many small organizations are joining a public cloud to take advantage of its multiple benefits. Cloud computing is cost efficient, i.e., cloud user can reduce spending on technology infrastructure and have easy access to their information without up-front or long-term commitment of resources. Moreover, a cloud user can dynamically grow and shrink the resources provisioned to an application on demand. Despite those benefits, cyber security concern is the main reason many large organizations with sensitive information such as the Department of Defense have been reluctant to join a public cloud. this is because different public cloud users share a common platform such as the hypervisor. A common platform intensifies the well-known problem of cyber security interdependency. In fact, an attacker can compromise a virtual machine (VM) to launch an attack on the hypervisor which if compromised can instantly yield the compromising of all the VMs running on top of that hypervisor. therefore, a user that does not invest in cyber security imposes a negative externality on others. this research uses the mathematical framework of game theory to analyze the cause and effect of interdependency in a public cloud platform. this work shows that there are multiple possible Nash equilibria of the public cloud security game. However, the players use a specific Nash equilibrium profile depending on the probability that the hypervisor is compromised given a successful attack on a user and the total expense required to invest in security. Finally, there is no Nash equilibrium in which all the users in a public cloud will fully invest in security.

关键词： Cloud computing Security Virtual machine monitors Games Nash equilibrium Operating systems Organizations

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Plant Disease Classification Using VGG-19 Based Faster-RCNN 7th

Plant Disease Classification Using VGG-19 Based Faster-RCNN

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proceedings of the 7th international conference on Advances in computing and Data Sciences, ICACDS 2023

作者： Nawaz, Marriam Nazir, Tahira Khan, Muhammad Attique Rajinikanth, Venkatesan Kadry, Seifedine Department of Software Engineering University of Engineering and Technology Taxila Taxila47050 Pakistan Faculty of Computing Department of Computer Science Riphah International University Gulberg Green Campus Islamabad Pakistan Department of Computer Science HITEC University Taxila Pakistan Department of Computer Science and Engineering Division of Research and Innovation Saveetha School of Engineering SIMATS Chennai602105 India Department of Applied Data Science Noroff University College Kristiansand4612 Norway Ajman University Ajman346 United Arab Emirates Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

ISBN: (纸本)9783031379390

Early plant disease diagnosis can help farmers avoid spending money on costly crop pesticides and aid them to boost food production. Scientists have put a lot of effort to classify plant diseases, but it is difficult to quickly locate and identify different crop abnormalities due to the high degree of resemblance between the normal and damaged parts of plant leaves. Additionally, the procedure of detecting plant diseases has been made more challenging due to the extensive color, size, shape, and intensity variations in the background and foreground of the plant images. To address the existing difficulties, we have introduced an effective deep learning (DL) based system called Faster-RCNN o recognize and classify various types of plant diseases. the suggested method consists of 3 basic steps. In order to identify the area of interest in investigated samples, we first create annotations for them which are later used for Faster-RCNN training. the Faster-RCNN model employs the VGG-19 network to extract the relevant keypoints from the given images which are later passed to the regressor and classification units to identify and categorize the various crop diseases using the estimated features. We evaluated our method on a widely used standard plant sample repository called the PlantVillage database, and the findings show that our approach is reliable for classifying plant diseases under a variety of image-capturing scenarios. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Crops

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Distributed Embedded systems: Design, Middleware and Resources 2008

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丛书名： IFIP Advances in Information and Communication Technology

2008年

作者： Bernd Kleinjohann Lisa Kleinjohann Marilyn Wolf

ISBN: (数字)9780387096612

ISBN: (纸本)9780387096605

this book constitutes the refereed proceedings of the IFIP TC 10 Working conference on Distributed and Parallel Embedded systems, held at the 20th World Computer Congress inMilan, Italy on September 7-10, 2008. the IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. the scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. proceedings and post-proceedings of refereed international conferences in computer science and interdisciplinary fields are featured. these results often precede journal publication and represent the most current research. the principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.

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Comparison analysis of idle emissions measurement program in JABODETABEK Indonesia

Comparison analysis of idle emissions measurement program in...

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7th international conference on Traffic and Transportation Studies, (ICTTS 2010)

作者： Nugroho, S.B. Fujiwara, A. Zhang, Junyi Transportation Engineering Laboratory Graduate School for International Development and Cooperation Hiroshima University Japan

ISBN: (纸本)9780784411230

this paper describes an initial analysis of vehicle inspections and maintenance program for private cars in Jakarta and surrounding cities namely JABODETABEK, as regulated in the 2005 bylaw. the 2005 bylaw on air pollution control, which took effect on February 2006, stipulated that all private car owners must get their vehicles' emission tested twice a year based on in-use vehicle emission standard. We apply bivariate probit model for the likelihood of CO and HC emission violations given a set of vehicle characteristics. Data of passenger car emission measured randomly during on-road emission measurements at Jakarta city and surrounding cities Bogor, Depok, Tangerang and Bekasi in 1999, 2000, 2004 and 2005. the engine size, fuel system, vehicle maintenance quality and passenger car travelled kilometer per year play a significant role in determining the probability of emission test failure. Vehicle kilometer travelled per year is different based on the vehicle-type and its usage. To analyze household vehicle-type ownership in Jakarta city, we use person trip data in 2002 and apply Multinomial Logit Model. Household income, family sizes are play significant in determining vehicle-type owned by households. Vehicle type Jeep and SUV are less to use by the households compare to Sedan or passenger car. In order to pass CO emission test, empirical study confirm that a combination of lower use of high fuel consumption car is better than higher use of low fuel consumption car. © 2010 ASCE.

关键词： Fuels

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Scalability and performance of multi-threaded algorithms for international fare construction on high-performance machines 1

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9th international conference on High Performance computing, HiPC 2002

作者： Sekharan, Chandra N. Saranathan, Krishnan Sivakumar, Raj Taherbhai, Zia Department of Computer Science Loyola University of Chicago 6525 N. Sheridan Road IL60626 United States Information Sciences Division- WHQKB United Airlines P.O.Box 66100 ChicagoIL60666-0100 United States

ISBN: (数字)9783540362654

ISBN: (纸本)3540003037

We describe the design, implementation and performance of a project for constructing international fares at United Airlines. An efficient fare construction engine allows an airline to simplify, and automate the process of pricing fares in lucrative international markets. the impact of a fare engine to the revenues of a large airline has been estimated at between $20M and $60M per year. the goal is to design an efficient software system for handling 10 Gb of data pertaining to base fares from all airlines, and to generate over 250 million memory-resident records (fares). the software architecture uses a 64-bit, object- oriented, and multi-threaded approach and the hardware platforms used for benchmarking include a 24-CPU, IBM S-80 and 32-CPU, Hewlett-Packard Superdome. Two competing software designs using (i) dynamic memory and (ii) static memory are compared. Critical part of the design includes a scheduler that uses a heuristic for load balancing which is provably within a constant factor of optimality. Performance results are presented and discussed. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Object oriented programming

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Sensor fusion method for altitude estimation in mini-UAV applications

Sensor fusion method for altitude estimation in mini-UAV app...

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international conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： Grigore Stamatescu Iulia Stamatescu Dan Popescu Cristian Mateescu Dpt. of Automatic Control and Industrial Informatics University “Politehnica” of Bucharest Romania Teamnet International Bucharest Romania

the emergence of unmanned aerial vehicles for large scale monitoring of ground infrastructure has challenged new designs for electronic sensor systems capable of timely, accurate and compntationally effective measurements. A conventional design issue is balancing the complexity of the sensing subsystem with advanced data processing algorithms in order to obtain quality information regarding the airplane's posture and orientation. the paper presents the generic architecture of the navigation sensing system for a fixed-wing mini-UAV, at both the physical and algorithm levels. the focus is set on a sub-problem, namely altitude estimation by sensor fusion using barometric pressure and GPS data. Results are discussed based on actual flight log data and the approach is extended towards speed estimation: air, ground and wind influence. Conclusions are drawn regarding efficient implementation of the method in relation to the onboard embedded processing capabilities.

关键词： Robot sensing systems Global Positioning System Estimation Sensor fusion Pressure measurement Unmanned aerial vehicles

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Ensemble based categorization and adaptive model for malware detection

Ensemble based categorization and adaptive model for malware...

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international Symposium on Information Assurance and Security (IAS)

作者： Muhammad Najmi Ahmad Zabidi Mohd Aizaini Maarof Anazida Zainal Kulliyyah of Information and Communication Technology International Islamic University Malaysia Kuala Lumpur Malaysia Information Assurance and Security Research Group Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Johor Bahru Malaysia

Malware, a term which was derived from two words; malicious software has caused many problem to the computer users throughout the world. Previously was known as many names; trojan, virus, worms, dialers and many others, thid potientially unwanted software simply labeled as malware. Malware is a software, which works as any other benigh software, but was designed to accomplish the goal of its writers. It was written to exploit the vulnerability of the target victim's operating system or application. Previously was a primitive and easy to detect, it evolves to a sophisticated and professionally written piece of software. Current malware detection method involved string search algorithm which based on the pattern detection. this may include the use of signature based method. In this paper, we propose an ensemble categorization by using ensemble classification and clustering together with adaptive learning model.

关键词： Malware Software Clustering algorithms Feature extraction Adaptation models Algorithm design and analysis Classification algorithms

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Building Advanced Metering Infrastructure using Elasticsearch Database and IEC 62056-21 Protocol

Building Advanced Metering Infrastructure using Elasticsearc...

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international conference on Future Internet of things and Cloud (FiCloud)

作者： Marcin Bajer ABB Corporate Research Center Kraków Poland

ISBN: (纸本)9781728128894

Building automation systems have been already around for many years. Unfortunately, the still high cost of smart building installation is difficult to justify for many noncommercial applications such as residential buildings and houses. the ongoing IoT revolution and popularization of low-cost ubiquitous networking changes drastically the situation. Nowadays, using off-the-shelf hardware and cloud based computing, it is easier to provide to the end user the intelligent solution which can be easily deployed and do not require significant building refurbishment. Even partial implementation of smart building concept will result in increase of energy efficiency as well as comfort of building occupants. In this paper, the solution for controlling and monitoring energy consumption in medium size rent building (12 flats) is presented. the idea of the project was to use ready-made, commercially available hardware and extend its functionalities with custom software. In addition, the Elasticsearch database was used to store energy usage data.

关键词： Energy efficiency intelligent buildings energy consumption Domestic architecture Buildings Custom software End users international Electrotechnical Commission COMFORT Database Building automation systems

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the multicast multimedia conference recorder

The multicast multimedia conference recorder

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international conference on Computer Communications and Networks (ICCCN)

作者： L. Lambrinos P. Kirstein V. Hardman Department of Computer Science University College London London UK

ISBN: (纸本)0818690143

the ability to archive multimedia data is required in most applications of multimedia conferencing. this paper describes the generic client-server architecture of a multicast multimedia server system and the design and implementation of the multicast multimedia conference recorder (MMCR). the MMCR is a remotely controlled system capable of recording and playing back multimedia data over the MBone. It has a client-server architecture and the logical independence between components simplifies development and component replication. the MMCR uses indexes to facilitate fast data access, allowing efficient fast-forward, rewind and random access operations. Inter-stream synchronisation between recorded audio-video streams is improved by eliminating the network delay variance.

关键词： Streaming media Multimedia systems Multimedia computing Audio recording Video recording Videoconference Computer architecture Video sharing Network servers Web server

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