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检索条件"主题词=Application programming interfaces"

共 563 条记录，以下是431-440 订阅

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Monitoring Real-Time Fleet Emissions Through an Intelligent Fleet Management System

Monitoring Real-Time Fleet Emissions Through an Intelligent ...

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International Conference on Intelligent Transportation

作者： Hamidreza Abediasl Masoud Aliramezani Charles Robert Koch Mahdi Shahbakhti Department of Mechanical Engineering University of Alberta Edmonton Canada

ISBN: (数字)9798331505929

ISBN: (纸本)9798331505936

Monitoring fleet vehicle operation is a crucial aspect of fleet management systems, typically involving the analysis of GPS and/or on-board diagnostics (OBD) data from fleet vehicles. Given the increasing emphasis on environmental responsibility within fleet management, there is a growing demand for monitoring vehicle emissions. This study aims to integrate machine learning models for emission estimation into an intelligent fleet management system (IFMS) designed for light-duty vehicle fleets. These emission models are trained using real-driving data from fleet vehicles and have the capability to provide real-time emission estimates based on the OBD data of each vehicle. The developed IFMS is hardware-agnostic, allowing for wireless data collection, and enables the real-time reporting of fleet emissions, including CO 2 , CO, HC, and NOx.

关键词： Estimation Data collection Real-time systems Data models Monitoring Engines Load modeling Graphical user interfaces Global Positioning System application programming interfaces

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A security analysis of Amazon's Elastic Compute Cloud service

A security analysis of Amazon's Elastic Compute Cloud servic...

引用

International Conference on Dependable Systems and Networks Workshops (DSN-W)

作者： Engin Kirda Northeastern University Boston MA USA

Cloud services such as Amazon's Elastic Compute Cloud and IBM's SmartCloud are quickly changing the way organizations are dealing with IT infrastructures and are providing online services. Today, if an organization needs computing power, it can simply buy it online by instantiating a virtual server image on the cloud. Servers can be quickly launched and shut down via application programming interfaces (API), offering the user a greater flexibility compared to traditional server rooms. In this talk, I will explore the general security risks associated with using virtual server images from the public catalogs of cloud service providers. In particular, we investigate in detail the security problems of public images that are available on the Amazon EC2 service. I will describe the design and implementation of an automated system that we used to instantiate and analyze the security of public AMIs (Amazon Machine Images) on the Amazon EC2 platform, and provide detailed descriptions of the security tests that we performed on each image. Our findings demonstrate that both the users and the providers of public AMIs may be vulnerable to security risks such as unauthorized access, malware infections, and loss of sensitive information. The Amazon Web Services Security Team has acknowledged our findings, and has already taken steps to properly address all the security risks we present in this talk.

关键词： Servers Educational institutions Organizations application programming interfaces Malware USA Councils

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Smart e-stick for Visually Impaired using Video Intelligence API

Smart e-stick for Visually Impaired using Video Intelligence...

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IEEE Bombay Section Signature Conference (IBSSC)

作者： Priyanka Ambawane Devshree Bharatia Piyush Rane Department of Computer Engineering Maharashtra Institute Of Technology Pune India Department of Computer Engineering Dhole Patil College Of Engineering Pune India

ISBN: (纸本)9781538674765

The visually impaired need to confront several problems while performing their daily activities. Independent navigation becomes one of the major problems in their social life. This issue further deteriorates when they travel across new unknown environments. This paper provides an efficient solution for the visually impaired in the form of a hardware automated stick based on Google's Cloud Video Intelligence API. This system uses real time video processing to analyze the obstacles or objects coming in the path of the blind and provides feedback in the form of voice messages. Hence the system facilitates real time navigation in both indoor and outdoor environments. Also the cost effectiveness and the versatility of the system make it more adaptive and easy to use.

关键词： Video Intelligence API (application programming Interface) smart blind stick label detection object detection and recognition text recognition shot change detection Google's text-to-speech engine (gTTS) Printed text recognition Visually Impaired Persons API application programming interfaces AXIAL POWER INDICATOR American Petroleum Institute Intelligence Voicemail Videotapes Cost Effectiveness

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Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos

Deceiving Google's Cloud Video Intelligence API Built for Su...

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IEEE Conference on Computer Vision and Pattern Recognition Workshops

作者： Hossein Hosseini Baicen Xiao Radha Poovendran Network Security Lab (NSL) Department of Electrical Engineering University of Washington

ISBN: (纸本)9781538607343

Despite the rapid progress of the techniques for image classification, video annotation has remained a challenging task. Automated video annotation would be a breakthrough technology, enabling users to search within the videos. Recently, Google introduced the Cloud Video Intelligence API for video analysis. As per the website, the system can be used to "separate signal from noise, by retrieving relevant information at the video, shot or perframe" level. A demonstration website has been also launched, which allows anyone to select a video for annotation. The API then detects the video labels (objects within the video) as well as shot labels (description of the video events over time). In this paper, we examine the usability of the Google's Cloud Video Intelligence API in adversarial environments. In particular, we investigate whether an adversary can subtly manipulate a video in such a way that the API will return only the adversary-desired labels. For this, we select an image, which is different from the video content, and insert it, periodically and at a very low rate, into the video. We found that if we insert one image every two seconds, the API is deceived into annotating the video as if it only contained the inserted image. Note that the modification to the video is hardly noticeable as, for instance, for a typical frame rate of 25, we insert only one image per 50 video frames. We also found that, by inserting one image per second, all the shot labels returned by the API are related to the inserted image. We perform the experiments on the sample videos provided by the API demonstration website and show that our attack is successful with different videos and images.

关键词： Videotapes API application programming interfaces AXIAL POWER INDICATOR American Petroleum Institute images shot Imagery (Psychotherapy) breakthrough technique

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Enabling OpenVX support in mW-scale parallel accelerators

Enabling OpenVX support in mW-scale parallel accelerators

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Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES)

作者： Giuseppe Tagliavini Germain Haugou Andrea Marongiu Luca Benini DEI University of Bologna IIS ETH Zurich

ISBN: (纸本)9781509035892

mW-scale parallel accelerators are a promising target for application domains such as the Internet of Thing (IoT), which require a strong compliance with a limited power budget combined with high performance capabilities. An important use case is given by smart sensing devices featuring increasingly sophisticated vision capabilities, at the cost of an increasing amount of near-sensor computation power. OpenVX is an emerging standard for the embedded vision, and provides a C-based application programming interface and a runtime environment. OpenVX is designed to maximize functional and performance portability across diverse hardware platforms. However, state-of-the-art implementations rely on memory-hungry data structures, which cannot be supported in constrained devices. In this paper we propose an alternative and novel approach to provide OpenVX support in mW-scale parallel accelerators. Our main contributions are: (i) an extension to the original OpenVX model to support static management of application graphs in the form of binary files; (ii) the definition of a companion run-time environment providing a lightweight support to execute binary graphs in a resource-constrained environment. Our approach achieves 68% memory footprint reduction and 3× execution speed-up compared to a baseline implementation. At the same time, data memory bandwidth is reduced by 10% and energy efficiency is improved by 2×.

关键词： parallel processing application program interfaces C language computer vision data structures graph theory Internet of Things mobile computing optimisation application programming interfaces C language Data structures Internet of things Mobile Computing PARALLEL PROCESSING (COMPUTERS) Graph theory images computer vision Accelerators Hardware Platform power budget

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Third party control on instant messaging

Third party control on instant messaging

引用

Eurocon

作者： Evelina Nikolova Pencheva Ivaylo Ivanov Atanasov Faculty of Telecommunications Technical University of Sofia Sofia Bulgaria

The paper investigates the capabilities for third party control on instant messaging functions in all IP-based managed networks. The open access to network functions is provided through Open Service Access (OSA) interfaces. A mapping of OSA User Interaction interfaces onto Session Initiation Protocol and Message Session Relay Protocol is proposed. A formal approach to functional verification of OSA gateway behavior is suggested.

关键词： Logic gates Protocols Servers Instant messaging Relays Multimedia communication application programming interfaces

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Violence Detection on Women using Generative AI

Violence Detection on Women using Generative AI

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Innovations in High Speed Communication and Signal Processing (IHCSP), International Conference on

作者： Aayush Shrivastava Nikhat Khan Paresh Tanna Amit Lathigara Computer Science Department IITM IES University Bhopal India Computer Science Department R K University Bhopal India

ISBN: (数字)9798350368949

ISBN: (纸本)9798350368956

Detection, prevention, and intervention strategies that rely on the application of state-of-the-art technology are required in that violence against women continues to threaten people from all walks of life. Through the applications of OpenAI's GPT models coupled with FastAPI for real-time deployment, this work comes to present an innovative solution in recognizing incidences of violence through Generative Artificial Intelligence. Through GPT's natural language capabilities, this system scans digital interactions for abusive language, harassment, and threats through social media and messaging platforms. Fast application programming interface (Fast API) is used by the system to give it scalability, real-time processing, and effective handling of concurrent requests so that it does not take too long in high-pressure situations. The technology is monitored and reports abusive behaviors through real-time alarm signals to the proper authorities or support services. Since it was trained on a wide variety of datasets, the model can both understand overt and subtle kinds of violence and thus be precise in identifying gender-based abuse that encompasses not only verbal manipulations but also psychological manipulations. This paper aims to deal with the ethical issues, problems, and possible impact of using a combination of GPT and FastAPI in relation to violence detection. The paper therefore underlines an integrated effort from AI developers, the legal frameworks, and social services to provide full mechanisms for protection.

关键词： Technological innovation Generative AI Social networking (online) Scalability Psychology Signal processing Real-time systems Protection Usability application programming interfaces

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Poster: Challenge-Based Learning: A Brazilian Case Study

Poster: Challenge-Based Learning: A Brazilian Case Study

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International Conference on Software Engineering - Companion, ICSE, Companion

作者： Alan Santos Afonso Sales Paulo Fernandes Josiane Kroll School of Technology PUCRS Porto Alegre RS Brazil University of Manitoba Winnipeg MB Canada

Mobile application development (MAD) has became, or is considering to be a part of the academic curricula in Computer Science courses. However, training students on mobile application development inherits the challenges of teaching software engineering where the target computer is a device that has a large number of features accessible by software. Furthermore, the most related experience in teaching students reveals di culties in developing software engineering competencies. In this paper we present results from a case study conducted in four universities in Brazil. We have investigated the adoption of Challenge-Based Learning (CBL) framework and agile practices for training students in software engineering applied in mobile application development environments.

关键词： Training Software engineering Software Planning Interviews application programming interfaces

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A Detection System for Stolen Vehicles Using Vehicle Attributes With Deep Learning

A Detection System for Stolen Vehicles Using Vehicle Attribu...

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IEEE International Conference on Signal Processing, Computing and Control (ISPCC)

作者： Parveen Saini Karambir Bidhan Sona Malhotra University Institute of Engineering and Technology (Kurukshetra University) Kurukshetra India

ISBN: (纸本)9781728139890

There is phenomenal growth in numbers of vehicles on road as well as in numbers of theft cases. In a few countries, vehicle theft cases are believed to be one in every 10 minutes. In such high-intensity scenario, it is not possible to identify the stolen vehicle with traditional methods such as manual check, RFID base technologies where it is easy to manipulate and remove. This paper presents a design with the implementation of a system based on deep learning technique where SSD algorithm is coupled with K-Nearest Neighbors algorithm and convolutional neural network classifier, to identify the stolen/suspicious vehicles without human intervention. This design operates in two stages: At first stage Tensor flow, Tensor Flow detection API from Google is used to detect the vehicle with sub-modules to identify color and registration number from a real-time video stream. In second stage it compares the extracted characteristic i.e. vehicle registration number and color with the RTO record. If in comparison it observes any anomaly in two sets or matched with stolen vehicle complaint record at police station. It would notify the concerned authorities. A prototype model is developed based on the presented design.

关键词： application program interfaces convolutional neural nets image classification learning (artificial intelligence) nearest neighbour methods radiofrequency identification road vehicles traffic engineering computing video streaming vehicle application programming interfaces Radio frequency identification road vehicles Video streaming nearest neighbor algorithm Image classification Detection systems engineering computing Land transportation police stations Color original mold Theft

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Mobile application development approaches: A systematic mapping study

Mobile application development approaches: A systematic mapp...

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Computer Science Society (SCCC) International Conference Chilean FLAGGED

作者： Iris Galeano Jorge Casariego Mauricio Merln Magall Gonzalez Universidad Catolica Nuestra Senora de la Asuncion Asuncion Gran AsunciÃ³n PY

ISBN: (纸本)9781509033409

The rapid growth in demand for mobile devices has aroused the interest of the software industry on how to address the development of mobile applications for these devices. The right choice of a methodology to guide the various activities to be made throughout the project can ensure its success. In order to know what the current proposals for the development of mobile applications are, a systematic mapping study which covered studies between 2007 and 2015 has been conducted. From this mapping, several studies have been selected; their contributions have been analyzed from different edges: goals, strengths, weaknesses, results, recommended tools, among others. The study showed that, although there are several proposed methodologies, most do not fit the life cycle of mobile application development; thus, adaptations and mergers of existing methodologies have to be made.

关键词： Software Mobile communication Mobile applications Systematics Libraries application programming interfaces Silicon compounds

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