Bibliografías temáticas / Microsoft Azure / Artículos de revistas
Siga este enlace para ver otros tipos de publicaciones sobre el tema: Microsoft Azure.

Artículos de revistas sobre el tema "Microsoft Azure"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 28 de julio de 2024

Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros

Elija tipo de fuente:

Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Microsoft Azure".

Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.

También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.

Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.

1

Kumar, Sanjeev. "Microsoft Azure Dynamic Pipelines". International Journal of Computer Trends and Technology 69, n.º 2 (25 de febrero de 2021): 41–45. http://dx.doi.org/10.14445/22312803/ijctt-v69i2p106.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
2

Тодић, Десанка. "MICROSOFT AZURE-OВА АРХИТЕКТУРА БЕЗ СЕРВЕРА". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, n.º 03 (8 de marzo de 2019): 614–17. http://dx.doi.org/10.24867/02be41todic.

Texto completo
Resumen
У раду су описане архитектуре система информационих технологија од првих система грађених само традиционалном монолитном архитектуром, затим преко система грађених помоћу микросервиса до систем без сервера и коришћења готове инфраструктуре за градњу жељеног система. Акценат рада је стављен на архитектуру без сервера Microsoft Azure и његове Azure функције које су детаљно објашњене.
Los estilos APA, Harvard, Vancouver, ISO, etc.
3

Amrullah, Agit, Agung Nugroho y Zekriansyah Ramadhan. "PERBANDINGAN KINERJA WEB SERVER PADA PENYEDIA LAYANAN CLOUD MICROSOFT AZURE DAN AMAZON WEB SERVICES". Jurnal Informatika Teknologi dan Sains 5, n.º 1 (8 de febrero de 2023): 92–97. http://dx.doi.org/10.51401/jinteks.v5i1.2487.

Texto completo
Resumen
Webserver adalah hal yang sangat penting sebagai layanan yang dibutuhkan agar klien dapat mengakses WWW (World Wide Web) menggunakan web browser mereka. Apache dan nginx adalah software web server yang paling banyak dipakai didunia, selain karena integrasinya yang mudah ke berbagai panel web seperti Cpanel, kedua software ini memiliki kestabilan yang mempuni dalam menanangani permintaan klien. Microsoft Azure dan Amazon Web Services sebagai salah satu penyedia layanan Cloud Computing Software As Service (SaaS) dan Platform As Service (PaaS), memiliki performa yang berbeda untuk implementasi pada web server. Penelitian ini bertujuan dalam melakukan analisa kinerja webserver apache dan nginx pada platform Microsoft Azure dan Amazon Web Services (AWS). Dari analisa yang dilakukan bahwasanya webserver Apache lebih unggul dengan margin persentase rata-rata sebesar 7% diplatform Microsoft Azure dan Nginx lebih unggul di platform Microsoft Azure dengan margin persentase sebesar 8,21%.
Los estilos APA, Harvard, Vancouver, ISO, etc.
4

Giuri, Maurizio. "Microsoft bietet ChatGPT an". Lebensmittel Zeitung 75, n.º 3 (2023): 50. http://dx.doi.org/10.51202/0947-7527-2023-3-050.

Texto completo
Resumen
Microsoft will Kunden seines Cloud-Dienstes Azure bald die Chat-Software ChatGPT verfügbar machen. US-Medien hatten zuletzt über einen Milliardendeal berichtet, mit dem sich der Konzern ein Drittel an der ChatGPT-Mutter OpenAI sichern möchte.
Los estilos APA, Harvard, Vancouver, ISO, etc.
5

S, Sivakumar, Rajasekaran Kondareddy y Kalyani Ayyemperumal. "Building SaaS solutions using microsoft azure for achieving safe and secure tax related software". Scientific Temper 14, n.º 02 (6 de junio de 2023): 521–26. http://dx.doi.org/10.58414/scientifictemper.2023.14.2.45.

Texto completo
Resumen
Several services offered by Microsoft Azure Cloud Platform are used for building, running and managing applications. These Services include Azure Active Directory (AD), Azure Virtual Machines (VMs), Azure App Services, Azure DevOps etc have been used to develop this system which can manage all real estate tax servicing needs. It significantly reduces servicing costs with the Tax Outsourcing platform. This system is a SaaS product that many customers request to maintain current tax status on loan portfolios to ensure taxes are paid on time. The contracted loans include tax identification numbers and parcel numbers, current year taxes, back taxes that are past due, information about tax redemption, etc.
Los estilos APA, Harvard, Vancouver, ISO, etc.
6

Dimić, Slađana. "SISTEM ZA BEZBEDNU KOMUNIKACIJU DVA KORISNIKA PUTEM RAZMENE PORUKA". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 35, n.º 04 (2 de abril de 2020): 794–97. http://dx.doi.org/10.24867/07oi01dimic.

Texto completo
Resumen
Cilj ovog rada jeste da se obezbedi sigurna komunikacija u vidu razmene mail-a dva koris­nika preko Web aplikacije i Microsoft Outlook-a, klijenta Microsoft Exchange-a. Za ovu komunikaciju potrebno je registrovati novu aplikaciju na Microsoft Azure portalu koja ima identifikatore neophodne za dobavljanje Bearer tokena. Bearer token sluzi da se klijent, u ovom slučaju razvijena Web aplikacija, autentifikuje servisu. Klijent je tada u mogućnosti da, preko Microsoft Graph RESTful Web API-a, potraži sve korisnike određene grupe registrovane na Azure Active Directory-u i pošalje mail odabranom korisniku.
Los estilos APA, Harvard, Vancouver, ISO, etc.
7

Milan, KLEMENT. "MICROSOFT AZURE - ONE OF THE POSSIBLE WAYS TO VIRTUALIZATION". Trends in Education 9, n.º 1 (1 de julio de 2016): 139–47. http://dx.doi.org/10.5507/tvv.2016.019.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
8

Muhammad Fahmi, I Ketut Gede Suhartana y I Komang Ari Mogi. "PERANCANGAN EXAM TRAINING SEBAGAI SISTEM PEMBELAJARAN WEB DENGAN MICROSOFT AZURE UNTUK PESERTA UJIAN SERTIFIKASI". Jurnal Pengabdian Informatika 1, n.º 1 (1 de noviembre de 2022): 253–58. http://dx.doi.org/10.24843/jupita.2022.v01.i01.p36.

Texto completo
Resumen
Exam Training dibangun berbasis website untuk mengatasi masalah peserta pada cloud fundamental track di Microsoft Indonesia dalam menghadapi ujian sertifikasi. Perancangan dan Pengembangan Exam Training menggunakan platform moodle sebagai frontend nya dan microsoft azure pada sisi backend nya. Penerapan microsoft azure dalam proses perancangan sistem memberikan kemudahan kepada developer dikarenakan tidak perlu memikirkan kebutuhan infrastruktur secara on-premises. Pengujian sistem menggunakan blackbox testing untuk menguji fungsionalitas sistem. Dari proses pengujian tersebut diperoleh masukan dan keluaran yang diharapkan.
Los estilos APA, Harvard, Vancouver, ISO, etc.
9

Al-Sayyed, Rizik M. H., Wadi’ A. Hijawi, Anwar M. Bashiti, Ibrahim AlJarah, Nadim Obeid y Omar Y. A. Al-Adwan. "An Investigation of Microsoft Azure and Amazon Web Services from Users’ Perspectives". International Journal of Emerging Technologies in Learning (iJET) 14, n.º 10 (30 de mayo de 2019): 217. http://dx.doi.org/10.3991/ijet.v14i10.9902.

Texto completo
Resumen
Cloud computing is one of the paradigms that have undertaken to deliver the utility computing concept. It views computing as a utility similar to water and electricity. We aim in this paper to make an investigation of two highly efficacious Cloud platforms: Microsoft Azure (Azure) and Amazon Web Services (AWS) from users’ perspectives the point of view of users. We highlight and compare in depth the features of Azure and AWS from users’ perspectives. The features which we shall focus on include (1) Pricing, (2) Availability, (3) Confidentiality, (4) Secrecy, (5) Tier Account and (6) Service Level Agreement (SLA). The study shows that Azure is more appropriate when considering Pricing and Availability (Error Rate) while AWS is more appropriate when considering Tier account. Our user survey study and its statistical analysis agreed with the arguments made for each of the six comparisons factors.
Los estilos APA, Harvard, Vancouver, ISO, etc.
10

Савчук, Т. О. y І. П. Пастух. "РОЗПІЗНАВАННЯ ЕМОЦІЙ УЧАСНИКІВ ВІДЕОКОНФЕРЕНЦІЙ В MICROSOFT TEAMS". Таврійський науковий вісник. Серія: Технічні науки, n.º 6 (13 de febrero de 2023): 18–24. http://dx.doi.org/10.32851/tnv-tech.2022.6.3.

Texto completo
Resumen
Запропоновано інформаційну технологію розпізнавання емоцій учасників відеоконференцій у Microsoft Teams за рахунок використання нейронної згорткової мережі та засобів технології Azure, а також розроблено її структуру та структуру компонентів платформи Azure. Проаналізовано засоби-аналоги та виявлено їх переваги і недоліки. Проаналізовано узагальнений метод розпізнавання емоцій учасників відеоконфернецій, визначено його недоліки та запропоновано удосконалений метод розпізнавання емоцій учасників відеоконференцій у Microsoft Teams, що дало можливість автоматизувати роботу користувача та отримувати дані про емоційні реакції учасників відеоконференцій на певні новини, оголошення, теми дискусій, для оцінки здібностей ораторів, виявлення емоційно негативних моментів відеоконференцій та причин їх виникнення за рахунок використання бібліотеки Graph API та засобів хмарної технології Azure. Запропонований удосконалений метод ліг в основу відповідної інформаційної технології. Проведено експерименти, кожен з яких передбачав різну кількість учасників відеоконференцій, різні сценарії, різні комбінації ввімкнення та вимкнення камер та різні емоції. Аналіз результатів функціонування показав, що розроблена інформаційна технологія потребує одноразового запуску для того, щоб обробляти будь-яку кількість відеоконференцій, в той час як засоби-аналоги потребують окремого запуску на кожну відеоконференцію. Розроблена технологія надає можливість розпізнати 94% емоцій учасників відеоконференцій на відміну від засобів-аналогів, так як вона підтримує велику кількість учасників одночасно без погіршення якості їх зображень, а також ідентифікувати усіх учасників відеоконференції та їх емоційний стан, що неможливо при використанні сучасних програмних засобів.
Los estilos APA, Harvard, Vancouver, ISO, etc.
11

Ye, Yan Xin, Jian Ming Cui y Jian Ming Lui. "Achieving Message Board Function Based on Storage Services of the Windows Azure Platform". Applied Mechanics and Materials 380-384 (agosto de 2013): 2411–14. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2411.

Texto completo
Resumen
in order to study the development of the Windows Azure platform, the paper through the use of cloud computing, one of the platforms Windows Azure, using its Table Storage storage services,to realize a message board function; and realize a good combination of NET Framework and Windows Azure, and explore the Difference of the Microsoft Windows Azure cloud computing platform development and the difference between ordinary ASP.NET development.
Los estilos APA, Harvard, Vancouver, ISO, etc.
12

Стевановић, Немања. "ПРИМЕНА SERVERLESS АРХИТЕКТУРЕ НА АПЛИКАЦИЈУ ЗА УПРАВЉАЊЕ РАДОВИМА У ЕЕ СИСТЕМУ". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 35, n.º 06 (23 de mayo de 2020): 1022–25. http://dx.doi.org/10.24867/08be02stevanovic.

Texto completo
Resumen
У овом раду представљена је примена Serverless архитектуре на апликацију која симулира управљање радовима у електроенергетском систему. Приказан је начин на који се може смањити оптерећење једног од сервиса апликације употребом Azure Functions које представљају Serverless архитектуру креиране од стране Microsoft Azure-a.
Los estilos APA, Harvard, Vancouver, ISO, etc.
13

Krishnaveni, S., B. Jothi, J. Jeyasutha y S. Sivamohan. "iCare: Personal Health Assistant Using Microsoft Azure Cloud". Indian Journal of Computer Science 1, n.º 1 (1 de octubre de 2016): 7. http://dx.doi.org/10.17010/ijcs/2016/v1/i1/101492.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
14

Philip, Joel y Vinayak A. Bharadi. "Signature Verification SaaS Implementation on Microsoft Azure Cloud". Procedia Computer Science 79 (2016): 410–18. http://dx.doi.org/10.1016/j.procs.2016.03.053.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
15

Sravanthi, Nalabothu y Dr B. Konda Reddy. "Microsoft Ad & azure SSO integration with ServiceNow". International Journal of Computing, Programming and Database Management 3, n.º 2 (1 de julio de 2022): 93–98. http://dx.doi.org/10.33545/27076636.2022.v3.i2b.72.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
16

Холявкіна, Т. В. y К. С. Безверха. "Створення та оперування базою даних за допомогою хмарних сервісів Azure". Problems of Informatization and Management 2, n.º 66 (7 de julio de 2021): 63–69. http://dx.doi.org/10.18372/2073-4751.66.15718.

Texto completo
Resumen
В сучасному світі інформація є найважливішим ресурсом, цінність якого може становитися вищою за гроші. Але це не стосується застарілої, неактуальної інформації. Люди здавна намагалися знайти спосіб якнайшвидше передавати інформацію з одного місця в інше, і сьогодні це можливо зробили швидше ніж коли-небудь. За допомогою сучасних мережевих технологій стало можливо зберігати величезні об’єми даних, а за допомогою електронних пристроїв отримувати до неї доступ. Хмарну технології зробили ще один крок вперед у доступності інформації, відкривши можливість отримувати її будь-де. Один з багатьох хмарних сервісів Microsoft Azure дає користувачам можливість зберігати дані для власного користування на віддалених серверах, а також швидко обробляти запити, повертаючи їх у вигляді даних, і захищати сховища від небажаних загроз. Стаття охоплює процес використання засобів Microsoft Azure для створення власного сервера SQL Server для зберігання та керування віддаленою базою даних SQL Database, а також налаштування інтегрованих сервісів Azure Firewall та Azure Application. Отримана база є робочою та може використовуватись для зберігання будь-яких даних.
Los estilos APA, Harvard, Vancouver, ISO, etc.
17

Beley, Olexander. "FEATURES OF THE MANAGEMENT OF DATA ENCRYPTION KEYS IN THE CLOUD STORAGE MS SQL AZURE". Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska 8, n.º 4 (16 de diciembre de 2018): 12–15. http://dx.doi.org/10.5604/01.3001.0012.8013.

Texto completo
Resumen
The main principles of data security and access organization in the Microsoft Azure cloud storage are considered. A role of hierarchy and access keys are presented. We describe the setup and the use of their keys (BYOK) for transparent data encryption (TDE) using Azure Key Vault keyring.
Los estilos APA, Harvard, Vancouver, ISO, etc.
18

AMAN, Serge Stephane, Behou Gerard N'GUESSAN, Djama Djoman Alfred AGBO y Tiemoman KONE. "Search engine optimization: methods and techniques". F1000Research 12 (12 de octubre de 2023): 1317. http://dx.doi.org/10.12688/f1000research.140393.1.

Texto completo
Resumen
Background: With the rapid advancement of information technology, search engine optimisation (SEO) has become crucial for enhancing the visibility and relevance of online content. In this context, the use of cloud platforms like Microsoft Azure is being explored to bolster SEO capabilities. Methods: This scientific article offers an in-depth study of search engine optimisation. It explores the different methods and techniques used to improve the performance and efficiency of a search engine, focusing on key aspects such as result relevance, search speed and user experience. The article also presents case studies and concrete examples to illustrate the practical application of optimisation techniques. Results: The results demonstrate the importance of optimisation in delivering high quality search results and meeting the increasing demands of users. Conclusions: The article addresses the enhancement of search engines through the Microsoft Azure infrastructure and its associated components. It highlights methods such as indexing, semantic analysis, parallel searches, and caching to strengthen the relevance of results, speed up searches, and optimise the user experience. Following the application of these methods, a marked improvement was observed in these areas, thereby showcasing the capability of Microsoft Azure in enhancing search engines. The study sheds light on the implementation and analysis of these Azure-focused techniques, introduces a methodology for assessing their efficacy, and details the specific benefits of each method. Looking forward, the article suggests integrating artificial intelligence to elevate the relevance of results, venturing into other cloud infrastructures to boost performance, and evaluating these methods in specific scenarios, such as multimedia information search. In summary, with Microsoft Azure, the enhancement of search engines appears promising, with increased relevance and a heightened user experience in a rapidly evolving sector.
Los estilos APA, Harvard, Vancouver, ISO, etc.
19

AMAN, Serge Stephane, Behou Gerard N'GUESSAN, Djama Djoman Alfred AGBO y Tiemoman KONE. "Search engine Performance optimization: methods and techniques". F1000Research 12 (21 de mayo de 2024): 1317. http://dx.doi.org/10.12688/f1000research.140393.3.

Texto completo
Resumen
Background With the rapid advancement of information technology, search engine optimisation (SEO) has become crucial for enhancing the visibility and relevance of online content. In this context, the use of cloud platforms like Microsoft Azure is being explored to bolster SEO capabilities. Methods This scientific article offers an in-depth study of search engine optimisation. It explores the different methods and techniques used to improve the performance and efficiency of a search engine, focusing on key aspects such as result relevance, search speed and user experience. The article also presents case studies and concrete examples to illustrate the practical application of optimisation techniques. Results The results demonstrate the importance of optimisation in delivering high quality search results and meeting the increasing demands of users. Conclusions The article addresses the enhancement of search engines through the Microsoft Azure infrastructure and its associated components. It highlights methods such as indexing, semantic analysis, parallel searches, and caching to strengthen the relevance of results, speed up searches, and optimise the user experience. Following the application of these methods, a marked improvement was observed in these areas, thereby showcasing the capability of Microsoft Azure in enhancing search engines. The study sheds light on the implementation and analysis of these Azure-focused techniques, introduces a methodology for assessing their efficacy, and details the specific benefits of each method. Looking forward, the article suggests integrating artificial intelligence to elevate the relevance of results, venturing into other cloud infrastructures to boost performance, and evaluating these methods in specific scenarios, such as multimedia information search. In summary, with Microsoft Azure, the enhancement of search engines appears promising, with increased relevance and a heightened user experience in a rapidly evolving sector.
Los estilos APA, Harvard, Vancouver, ISO, etc.
20

AMAN, Serge Stephane, Behou Gerard N'GUESSAN, Djama Djoman Alfred AGBO y Tiemoman KONE. "Search engine Performance optimization: methods and techniques". F1000Research 12 (16 de enero de 2024): 1317. http://dx.doi.org/10.12688/f1000research.140393.2.

Texto completo
Resumen
Background With the rapid advancement of information technology, search engine optimisation (SEO) has become crucial for enhancing the visibility and relevance of online content. In this context, the use of cloud platforms like Microsoft Azure is being explored to bolster SEO capabilities. Methods This scientific article offers an in-depth study of search engine optimisation. It explores the different methods and techniques used to improve the performance and efficiency of a search engine, focusing on key aspects such as result relevance, search speed and user experience. The article also presents case studies and concrete examples to illustrate the practical application of optimisation techniques. Results The results demonstrate the importance of optimisation in delivering high quality search results and meeting the increasing demands of users. Conclusions The article addresses the enhancement of search engines through the Microsoft Azure infrastructure and its associated components. It highlights methods such as indexing, semantic analysis, parallel searches, and caching to strengthen the relevance of results, speed up searches, and optimise the user experience. Following the application of these methods, a marked improvement was observed in these areas, thereby showcasing the capability of Microsoft Azure in enhancing search engines. The study sheds light on the implementation and analysis of these Azure-focused techniques, introduces a methodology for assessing their efficacy, and details the specific benefits of each method. Looking forward, the article suggests integrating artificial intelligence to elevate the relevance of results, venturing into other cloud infrastructures to boost performance, and evaluating these methods in specific scenarios, such as multimedia information search. In summary, with Microsoft Azure, the enhancement of search engines appears promising, with increased relevance and a heightened user experience in a rapidly evolving sector.
Los estilos APA, Harvard, Vancouver, ISO, etc.
21

Đanić, Dražen. "PROVERA IDENTITETA I AUTORIZACIJA KORISNIKA U MICROSOFT AZURE PLATFORMI". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, n.º 06 (5 de junio de 2019): 1128–31. http://dx.doi.org/10.24867/03be27djanic.

Texto completo
Resumen
U radu je na primeru softverskog sistema za rezervaciju u restoranima opisano korišćenje platforme Microsoft Azure za potrebe rešavanja problema provere identiteta i autorizacije korisnika. Opis sistema obuhvata opis njegovog modela i implementacije.
Los estilos APA, Harvard, Vancouver, ISO, etc.
22

Koontz, Alicia Marie, Ahlad Neti, Cheng-Shiu Chung, Nithin Ayiluri, Brooke A. Slavens, Celia Genevieve Davis y Lin Wei. "Reliability of 3D Depth Motion Sensors for Capturing Upper Body Motions and Assessing the Quality of Wheelchair Transfers". Sensors 22, n.º 13 (30 de junio de 2022): 4977. http://dx.doi.org/10.3390/s22134977.

Texto completo
Resumen
Wheelchair users must use proper technique when performing sitting-pivot-transfers (SPTs) to prevent upper extremity pain and discomfort. Current methods to analyze the quality of SPTs include the TransKinect, a combination of machine learning (ML) models, and the Transfer Assessment Instrument (TAI), to automatically score the quality of a transfer using Microsoft Kinect V2. With the discontinuation of the V2, there is a necessity to determine the compatibility of other commercial sensors. The Intel RealSense D435 and the Microsoft Kinect Azure were compared against the V2 for inter- and intra-sensor reliability. A secondary analysis with the Azure was also performed to analyze its performance with the existing ML models used to predict transfer quality. The intra- and inter-sensor reliability was higher for the Azure and V2 (n = 7; ICC = 0.63 to 0.92) than the RealSense and V2 (n = 30; ICC = 0.13 to 0.7) for four key features. Additionally, the V2 and the Azure both showed high agreement with each other on the ML outcomes but not against a ground truth. Therefore, the ML models may need to be retrained ideally with the Azure, as it was found to be a more reliable and robust sensor for tracking wheelchair transfers in comparison to the V2.
Los estilos APA, Harvard, Vancouver, ISO, etc.
23

Harfoushi, Osama, Dana Hasan y Ruba Obiedat. "Sentiment Analysis Algorithms through Azure Machine Learning: Analysis and Comparison". Modern Applied Science 12, n.º 7 (21 de junio de 2018): 49. http://dx.doi.org/10.5539/mas.v12n7p49.

Texto completo
Resumen
The Sentimental Analysis (SA) is a widely known and used technique in the natural language processing realm. It is often used in determining the sentiment of a text. It can be used to perform social media analytics. This study sought to compare two algorithms; Logistic Regression, and Support Vector Machine (SVM) using Microsoft Azure Machine Learning. This was demonstrated by performing a series of experiments on three Twitter datasets (TD). Accordingly, data was sourced from Twitter a microblogging platform. Data were obtained in the form of individuals’ opinions, image, views, and twits from Twitter. Azure cloud-based sentiment analytics models were created based on the two algorithms. This work was extended with more in-depth analysis from another Master research conducted lately. Results confirmed that Microsoft Azure ML platform can be used to build effective SA models that can be used to perform data analytics.
Los estilos APA, Harvard, Vancouver, ISO, etc.
24

Deshpande, Madhura. "Artificial Intelligence in Microsoft SharePoint using Azure Cognitive Services". International Journal for Research in Applied Science and Engineering Technology 8, n.º 7 (31 de julio de 2020): 626–27. http://dx.doi.org/10.22214/ijraset.2020.30212.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
25

Poppe, Olga, Pablo Castro, Willis Lang y Jyoti Leeka. "Proactive Resource Allocation Policy for Microsoft Azure Cognitive Search". ACM SIGMOD Record 52, n.º 3 (30 de octubre de 2023): 41–48. http://dx.doi.org/10.1145/3631504.3631516.

Texto completo
Resumen
Modern cloud services aim to find the middle ground between quality of service and operational cost efficiency by allocating resources if and only if these resources are needed by the customers. Unfortunately, most industrial demand-driven resource allocation approaches are reactive. Given that scaling mechanisms are not instantaneous, the reactive policy may introduce delays to latency-sensitive customer workloads and waste operational costs for cloud service providers. To solve this catch-22, we define the proactive resource allocation policy for Microsoft Azure Cognitive Search. In addition to the current resource demand, the proactive policy takes the typical resource usage patterns into account. We gained the following valuable insights from these patterns over several months of production workloads. One, 87% of the workload is stable due to continuous resource demand. Two, 90% of varying demand is predictable based on a few weeks of historical traces. Three, resources can be reclaimed 52% of the time due to extensive idle intervals of varying workload. Given the size and scope of our analysis, we believe that our approach applies to any latency-sensitive cloud service.
Los estilos APA, Harvard, Vancouver, ISO, etc.
26

Damm, Erik, Harald Ritz y Gert Jan Feick. "Konzeption und Implementierung einer DICOM-Schnittstelle in einem Data Lake in der Cloud am Beispiel Microsoft Azure". Anwendungen und Konzepte der Wirtschaftsinformatik, n.º 11 (22 de julio de 2020): 1. http://dx.doi.org/10.26034/lu.akwi.2020.3261.

Texto completo
Resumen
Die Digitalisierung im Gesundheitswesen und der damit einhergehende medizintechnische Fortschritt bieten große Chancen für eine effizientes Gesundheitssystem und dessen Versorgungsprozesse. Der Forschungs-campus „Mannheim Molecular Intervention Environment (M2OLIE)“ beschäftigt sich in diesem Bereich mit der Behandlung oligometastasierter Patienten. Im Rahmen dieses Forschungscampus soll ein geschlossener Behandlungsprozess entstehen, welcher die Behandlungsdauer verkürzen und die Behandlungsqualität steigern soll. Damit dieser Behandlungsprozess so effizient wie möglich gestaltet werden kann, müssen die Teilschritte der Behandlung zu einem Closed-Loop-Prozess integriert werden. Die Umsetzung eines solchen Closed-Loop-Prozesses bedarf einer zentralen Dateninfrastruktur. Diese Daten-infrastruktur soll als Data-Lake-Architektur in der Cloud auf Microsoft Azure umgesetzt werden. Die Umsetzung wirft dabei verschiedene Fragestellungen auf. Zum einen stellt sich die Frage, wie eine geeignete Data-Lake-Architektur in der Cloud umgesetzt werden kann, und zum anderen, wie sich eine DICOM-Schnittstelle zur Integration der klinischen Basissysteme implementieren lässt. Ziel der Arbeit ist die Konzeption und Implementierung einer Data-Lake-Architektur in der Cloud auf Microsoft Azure und die Implementierung einer DICOM-Schnittstelle in den Data Lake, für die Integration der klinischen Basissysteme. Dazu wurden zunächst die Anforderungen, sowohl an die DICOM-Schnittstelle, als auch an die Gesamt-architektur definiert. Anhand der Anforderungen wurden im nächsten Schritt die für die Implementierung genutzten Azure Komponenten ausgewählt und die Abläufe der verschiedenen Funktionalitäten definiert. Darauf aufbauend folgt dann die Implementierung der einzelnen Azure-Komponenten sowie der zuvor konzipierten Abläufe. Abschließend wird ein Abschlusstest der Implementierung zur Verifizierung der Umsetzung durchgeführt und deren Ergebnis dokumentiert. Die Frage- und Problemstellungen konnten durch die Konzeption und Implementierung beantwortet werden. Darüber hinaus wurden alle Anforderungen an die DICOM-Schnittstelle und die gesamte Data-Lake-Architektur in der Cloud auf Microsoft Azure erfüllt, getestet und dokumentiert.
Los estilos APA, Harvard, Vancouver, ISO, etc.
27

Nedosnovanyi, O. Y., O. I. Cherniak y V. V. Golinko. "COMPARATIVE ANALYSIS OF CLOUD SERVICES FOR GEOINFORMATION DATA PROCESSING". Information technology and computer engineering 57, n.º 2 (2023): 50–57. http://dx.doi.org/10.31649/1999-9941-2023-57-2-50-57.

Texto completo
Resumen
The article is devoted to a comparative analysis of cloud services for processing geographic data. It describes in detail the services - Google Cloud, Amazon Web Services and Microsoft Azure - that provide tools for storing, processing and analyzing large amounts of geographic data. The article also describes the parameters of geoinformation services, the access algorithm, and examples of program code for processing satellite data. The article describes such opportunities and limitations of using cloud services as automation, security and scalability. The conclusions and recommendations for further development of geographic information systems based on cloud services are provided. Services. Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) offer a variety of geodata storage solutions. These solutions include object storage, such as Amazon S3, Azure Blob Storage, and Google Cloud Storage, as well as geospatial databases, such as Amazon RDS, Azure Cosmos DB, and Google Cloud Firestore. In addition, each of these services provides a set of services for analyzing and processing geographic information data. For example, AWS offers services such as Amazon Athena, Amazon Redshift, and AWS Glue, which allow you to run SQL queries, conduct analytics, and integrate geodata with other services. Azure offers services such as Azure SQL Database, Azure Databricks, and HDInsight, which provide capabilities for processing and analyzing geographic data. GCP also provides services such as BigQuery, Dataflow, and Dataproc, which allow you to perform analytical operations and process large amounts of geodata. Support for integration with various geo-tools is important for analysis, such as AWS, Amazon Location Service, Amazon Ground Truth, and Amazon Rekognition, which allow you to work with geodata at different levels of complexity. Azure has Azure Maps, which provides services for geocoding, routing, and visualization of geodata. GCP also offers Google Maps Platform, which provides extensive integration with geographic technologies such as routing, geocoding, and map visualization. All these processes will allow for more efficient data processing. Keywords: cloud technologies,
Los estilos APA, Harvard, Vancouver, ISO, etc.
28

HU, Jiani y Toshihiko Yamasaki. "Getting Started with Cloud Computing (1); Introduction of Microsoft Azure". Journal of the Institute of Image Information and Television Engineers 69, n.º 4 (2015): 336–40. http://dx.doi.org/10.3169/itej.69.336.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
29

HU, Jiani y Toshihiko Yamasaki. "Getting Started with Cloud Computing (2); Advance of Microsoft Azure". Journal of the Institute of Image Information and Television Engineers 69, n.º 5 (2015): 453–56. http://dx.doi.org/10.3169/itej.69.453.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
30

Tiutiunnyk, Petro B. y Natalia A. Rybachok. "Creating Web Application for Organizing Teamwork Online Using Microsoft Azure Cloud Services". Control Systems and Computers, n.º 2-3 (292-293) (julio de 2021): 52–59. http://dx.doi.org/10.15407/csc.2021.02.052.

Texto completo
Resumen
Based on the services of the cloud platform Microsoft Azure developed a web application that solves problems that arise when organizing teamwork online. For the first time, the architecture of this type of software system based on Microsoft Azure cloud platform services has been proposed. The architecture is flexible and can be extended by adding new modules. Possibilities for improving the implementation of the software system in the following versions have been identified: expanding the tools of the AGILE methodology by including Scrum approaches; expanding real-time interaction, including receiving notifications and reminders about meetings, editing team pages and KANBAN boards; adding the ability to share files between users; expanding interaction with messages (forward, reply, edit, delete); adding methods for notifications other than email, such as Telegram. The implementation of these additional functions will not affect the developed architecture of the software system.
Los estilos APA, Harvard, Vancouver, ISO, etc.
31

Romeo, Laura, Roberto Marani, Anna Gina Perri y Tiziana D’Orazio. "Microsoft Azure Kinect Calibration for Three-Dimensional Dense Point Clouds and Reliable Skeletons". Sensors 22, n.º 13 (1 de julio de 2022): 4986. http://dx.doi.org/10.3390/s22134986.

Texto completo
Resumen
Nowadays, the need for reliable and low-cost multi-camera systems is increasing for many potential applications, such as localization and mapping, human activity recognition, hand and gesture analysis, and object detection and localization. However, a precise camera calibration approach is mandatory for enabling further applications that require high precision. This paper analyzes the available two-camera calibration approaches to propose a guideline for calibrating multiple Azure Kinect RGB-D sensors to achieve the best alignment of point clouds in both color and infrared resolutions, and skeletal joints returned by the Microsoft Azure Body Tracking library. Different calibration methodologies using 2D and 3D approaches, all exploiting the functionalities within the Azure Kinect devices, are presented. Experiments demonstrate that the best results are returned by applying 3D calibration procedures, which give an average distance between all couples of corresponding points of point clouds in color or an infrared resolution of 21.426 mm and 9.872 mm for a static experiment and of 20.868 mm and 7.429 mm while framing a dynamic scene. At the same time, the best results in body joint alignment are achieved by three-dimensional procedures on images captured by the infrared sensors, resulting in an average error of 35.410 mm.
Los estilos APA, Harvard, Vancouver, ISO, etc.
32

Bhaskar, Archana y Rajeev Ranjan. "Optimized memory model for hadoop map reduce framework". International Journal of Electrical and Computer Engineering (IJECE) 9, n.º 5 (1 de octubre de 2019): 4396. http://dx.doi.org/10.11591/ijece.v9i5.pp4396-4407.

Texto completo
Resumen
Map Reduce is the preferred computing framework used in large data analysis and processing applications. Hadoop is a widely used Map Reduce framework across different community due to its open source nature. Cloud service provider such as Microsoft azure HDInsight offers resources to its customer and only pays for their use. However, the critical challenges of cloud service provider is to meet user task Service level agreement (SLA) requirement (task deadline). Currently, the onus is on client to compute the amount of resource required to run a job on cloud. This work present a novel memory optimization model for Hadoop Map Reduce framework namely MOHMR (Optimized Hadoop Map Reduce) to process data in real-time and utilize system resource efficiently. The MOHMR present accurate model to compute job memory optimization and also present a model to provision the amount of cloud resource required to meet task deadline. The MOHMR first build a profile for each job and computes memory optimization time of job using greedy approach. Experiment are conducted on Microsoft Azure HDInsight cloud platform considering different application such as text computing and bioinformatics application to evaluate performance of MOHMR of over existing model shows significant performance improvement in terms of computation time. Experiment are conducted on Microsoft Azure HDInsight cloud. Overall, good correlation is reported between practical memory optimization values and theoretical memory optimization values.
Los estilos APA, Harvard, Vancouver, ISO, etc.
33

Daher, Zouheir y Hassan Hajjdiab. "Cloud Storage Comparative Analysis Amazon Simple Storage vs. Microsoft Azure Blob Storage". International Journal of Machine Learning and Computing 8, n.º 1 (febrero de 2018): 85–89. http://dx.doi.org/10.18178/ijmlc.2018.8.1.668.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
34

Bailey, Janet L. y Bradley K. Jensen. "Telementoring: using the Kinect and Microsoft Azure to save lives". International Journal of Electronic Finance 7, n.º 1 (2013): 33. http://dx.doi.org/10.1504/ijef.2013.051755.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
35

Qarkaxhija, Jusuf. "Using Cloud Computing as an Infrastructure Case Study- Microsoft Azure". Technium: Romanian Journal of Applied Sciences and Technology 2, n.º 3 (8 de mayo de 2020): 93–100. http://dx.doi.org/10.47577/technium.v2i3.473.

Texto completo
Resumen
In recent years, the cloud has achieved an immense popularity in the world of tech. This has provided new and improved strategies for cost reduction, and for ensuring better utilisation of cloud resources. Implementation of this model is continuously increasing in numerous businesses , due to the many benefits that the companies are attaining. These cloud resources can belong to either, the infrastructure or platform model. A vast attention has been directed towards the virtualization technology, because the cloud is largely relied upon it. With the help of virtualization, one can quickly download apps or websites, from the cloud. In order to yield the full potential of the cloud, companies should migrate all their current applications to the cloud, and in order to do that- only an internet connection is required. Migration of the existing systems to a scalable cloud solution, can reduce hardware related costs , such as : servers, installation of operating system, database and licence system costs, deployment of database products , and finally employment of professional staff to develop and maintain the system. This research attempts to study and analyze Microsoft Azure, in particular the virtual machine - as part of its infrastructure. The main priority lies in establishing a secure cloud data storage system.
Los estilos APA, Harvard, Vancouver, ISO, etc.
36

Truong, Linh, Felipe Ayora, Lloyd D’Orsogna, Patricia Martinez y Dianne De Santis. "Nanopore sequencing data analysis using Microsoft Azure cloud computing service". PLOS ONE 17, n.º 12 (2 de diciembre de 2022): e0278609. http://dx.doi.org/10.1371/journal.pone.0278609.

Texto completo
Resumen
Genetic information provides insights into the exome, genome, epigenetics and structural organisation of the organism. Given the enormous amount of genetic information, scientists are able to perform mammoth tasks to improve the standard of health care such as determining genetic influences on outcome of allogeneic transplantation. Cloud based computing has increasingly become a key choice for many scientists, engineers and institutions as it offers on-demand network access and users can conveniently rent rather than buy all required computing resources. With the positive advancements of cloud computing and nanopore sequencing data output, we were motivated to develop an automated and scalable analysis pipeline utilizing cloud infrastructure in Microsoft Azure to accelerate HLA genotyping service and improve the efficiency of the workflow at lower cost. In this study, we describe (i) the selection process for suitable virtual machine sizes for computing resources to balance between the best performance versus cost effectiveness; (ii) the building of Docker containers to include all tools in the cloud computational environment; (iii) the comparison of HLA genotype concordance between the in-house manual method and the automated cloud-based pipeline to assess data accuracy. In conclusion, the Microsoft Azure cloud based data analysis pipeline was shown to meet all the key imperatives for performance, cost, usability, simplicity and accuracy. Importantly, the pipeline allows for the on-going maintenance and testing of version changes before implementation. This pipeline is suitable for the data analysis from MinION sequencing platform and could be adopted for other data analysis application processes.
Los estilos APA, Harvard, Vancouver, ISO, etc.
37

Jha, Rohitkumar, Donald Laishram, Nishma Kamat, Om Panchal y Prof Salabha Jacob. "Implementing SIEM(Security Information and Environment Management) in Microsoft Azure". International Journal for Research in Applied Science and Engineering Technology 12, n.º 4 (30 de abril de 2024): 5608–16. http://dx.doi.org/10.22214/ijraset.2024.61367.

Texto completo
Resumen
Abstract: In an increasingly interconnected and digital world, the need for robust cybersecurity measures is paramount. Cyberattacks can therefore occur upon any device at any moment of time in order to steal the sensitive information of the user or can result in identity theft and cyberbullying. There are varieties of attacks that may occur without the user being aware about the same that their computer has been attacked and the hacker has overall access of their data. Also, a user cannot sit in front of their device throughout their life to monitor and protect any type of cyberattack. Therefore, in order to solve the following problems and to enhance the overall security and accuracy of safeguarding the device and its data, we implement our project Security Information and Environment Management (SIEM) system within the Microsoft Azure cloud ecosystem. SIEM plays a critical role in monitoring, detecting, and responding to security threats, making it a crucial component of any organization's cybersecurity strategy. To view the notification of the attack for a user and all its details, we therefore connect the SIEM implementations and logs over Microsoft Azure platform, and generate the same with the help of a command-shell Windows PowerShell.
Los estilos APA, Harvard, Vancouver, ISO, etc.
38

Nugraha, Samuel y Dian W. Chandra. "Peningkatan Keamanan Database Pada Layanan Azure Melalui Metode Multi-Tenant Dengan Pendekatan Separate Database". Jurnal Pendidikan dan Teknologi Indonesia 3, n.º 6 (25 de junio de 2023): 233–40. http://dx.doi.org/10.52436/1.jpti.293.

Texto completo
Resumen
Untuk semakin menghemat biaya dalam penggunaan layanan cloud di Azure, maka dapat menggunakan arsitektur multi-tenant. Arsitektur multi-tenant memungkinkan pengguna untuk menggunakan layanan cloud secara bersama-sama. Namun ada hal yang perlu diperhatikan saat menggunakan layanan multi-tenant, salah satunya adalah keamanan database antar pengguna. Salah satu solusi untuk mengatasi hal tersebut adalah dengan melakukan pendekatan separate database. Penelitian ini bertujuan untuk meningkatkan keamanan data pada metode multi tenant dengan pendekatan separate database pada layanan Microsoft Azure. Metode yang dilakukan pada penelitian ini adalah metode multi tenant dengan pendekatan arsitektur database yang digunakan adalah separate database, dan jenis layanan cloud yang digunakan adalah Paas (Platform as a Service) yang mana menggunakan Azure App Service dan Azure SQL Database dalam melakukan proses migrasi. Hasil dari penelitian ini adalah melakukan migrasi database dengan pendekatan separate database dari masing-masing pengguna layanan ke dalam layanan Azure. Hal ini dapat meningkatkan keamanan data antar pengguna sehingga tidak terjadi kebocoran data karena masing-masing pengguna memiliki databasenya sendiri.Desain arsitektur multi tenant separated database memiliki manfaat yaitu keamanan data yang lebih baik, karena tiap tenant memiliki database tersendiri sehingga data dari tiap tenant tidak bercampur menjadi satu. Sementara dari segi biaya layanan Azure App lebih hemat dibandingkan dengan layanan Azure Virtual Machine
Los estilos APA, Harvard, Vancouver, ISO, etc.
39

Vinutha, D. C. y G. T. Raju. "An Accurate and Efficient Scheduler for Hadoop MapReduce Framework". Indonesian Journal of Electrical Engineering and Computer Science 12, n.º 3 (1 de diciembre de 2018): 1132. http://dx.doi.org/10.11591/ijeecs.v12.i3.pp1132-1142.

Texto completo
Resumen
MapReduce is the preferred computing framework used in large data analysis and processing applications. Hadoop is a widely used MapReduce framework across different community due to its open source nature. Cloud service provider such as Microsoft azure HDInsight offers resources to its customer and only pays for their use. However, the critical challenges of cloud service provider is to meet user task Service level agreement (SLA) requirement (task deadline). Currently, the onus is on client to compute the amount of resource required to run a job on cloud. This work present a novel makespan model for Hadoop MapReduce framework namely OHMR (Optimized Hadoop MapReduce) to process data in real-time and utilize system resource efficiently. The OHMR present accurate model to compute job makespan time and also present a model to provision the amount of cloud resource required to meet task deadline. The OHMR first build a profile for each job and computes makespan time of job using greedy approach. Furthermore, to provision amount of resource required to meet task deadline Lagrange Multipliers technique is applied. Experiment are conducted on Microsoft Azure HDInsight cloud platform considering different application such as text computing and bioinformatics application to evaluate performance of OHMR of over existing model shows significant performance improvement in terms of computation time. Experiment are conducted on Microsoft Azure HDInsight cloud. Overall good correlation is reported between practical makespan values and theoretical makespan values.
Los estilos APA, Harvard, Vancouver, ISO, etc.
40

Kim, Dong-hyeon, Se-woon Choe y Sung-Uk Zhang. "Recognition of adherent polychaetes on oysters and scallops using Microsoft Azure Custom Vision". Electronic Research Archive 31, n.º 3 (2023): 1691–709. http://dx.doi.org/10.3934/era.2023088.

Texto completo
Resumen
<abstract> <p>Oyster and scallop cultures have high growth rates in the Korean aquaculture industry. However, their production is declining because of the manual selection of polychaete-adherent oysters and scallops. In this study, an artificial intelligence model for automatic selection of polychaetes was developed using Microsoft Azure Custom Vision to improve the productivity of oysters and scallops. A camera booth was built to capture images of oysters and scallops from various angles. Polychaetes in the images were tagged. Transfer learning available with Custom Vision was performed on the acquired images. By repeating the training and evaluation, the number of training images was increased by analyzing the precision, recall, and mean average precision using the Compact [S1] and General [A1] domains of Custom Vision. This paper presents the artificial intelligence model developed for the automatic selection of polychaete-adherent oysters and scallops as well as the optimal model development method using Microsoft Azure Custom Vision.</p> </abstract>
Los estilos APA, Harvard, Vancouver, ISO, etc.
41

Rosca, Cosmina Mihaela y Andy Valentin Ariciu. "UNLOCKING CUSTOMER SENTIMENT INSIGHTS WITH AZURE SENTIMENT ANALYSIS: A COMPREHENSIVE REVIEW AND ANALYSIS". Romanian Journal of Petroleum & Gas Technology 4 (75), n.º 1 (2023): 173–82. http://dx.doi.org/10.51865/jpgt.2023.01.15.

Texto completo
Resumen
The paper analyzes the accuracy of the Azure Sentiment Analysis service for five languages, namely Romanian, French, Italian, Portuguese, and Spanish. The study generated 300 texts for each language type expressing positive and negative sentiments with varying lengths (less than 100 characters, between 100 and 250 characters, and more than 250 characters). The Azure Sentiment Analysis Review custom-made application was developed using C# language with .NET Framework and Entity Framework for the Microsoft SQL database, and it is used to make a request to the Azure Sentiment Service, and the response sets the label into the database. The expected and Azure labels for each type of analyzed text were described as well. The accuracy of sentiment recognition for different languages and text lengths is presented in the form of statistics, with the global accuracy of the service being 81.8%. The challenges of accurately classifying the sentiment of short and long texts were highlighted. The results suggest that texts of moderate length are easier to classify.
Los estilos APA, Harvard, Vancouver, ISO, etc.
42

Domínguez-Ramírez, Omar Arturo y Arturo Austria-Cornejo. "Sistema de Reconocimiento de Patrones de Rostros en la Nube". Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI 7, n.º 13 (5 de julio de 2019): 54–61. http://dx.doi.org/10.29057/icbi.v7i13.3540.

Texto completo
Resumen
El presente trabajo comprende la implementación de algoritmos de alto desempeño para reconocimiento y detección de rostros, con interactividad en la Nube empleando la plataforma Microsoft Azure. Para su implementación, se analizan técnicas biométricas utilizadas hoy en día para el reconocimiento de patrones de rostros y se plantea de manera general considerar la existencia de ruido en las imágenes a analizar al compararlas con las bases de datos tomando en cuenta la alineación, normalización y escalado de cada una de las imágenes probadas. Para ello, se han llevado a cabo experimentos diferenciados de cada una de las fases del desarrollo del proyecto, de modo que se pudieron evaluar fortalezas y debilidades de la aplicación en la Nube. El análisis de desempeño centra en verificar exactitud, eficiencia y rapidez del servicio; con este propósito se realizó un estudio antropométrico como base experimental para realizar un análisis más exhaustivo del rostro, considerando la detección de atributos y el reconocimiento facial. El desarrollo del proyecto tiene dos líneas principales de trabajo: i) se implementó un servicio basado en las librerías de la API Face de Microsoft Azure para reconocimiento facial en lenguaje C#, cuyo rendimiento fue evaluado con una base de datos local y posteriormente en el Cloud de Microsoft, posteriormente se adaptó y se mejoró el diseño e implementación para su funcionamiento en tiempo real; y ii) el enfoque experimental, llevando a cabo pruebas diferenciadas del servicio en cada una de las etapas de desarrollo, donde se pudo realizar una evaluación de forma detallada. Los experimentos se enfocaron en el estudio de las etapas más relevantes para el análisis de la exactitud, rendimiento y rapidez en las funciones de: agrupación, detección, comprobación, identificación y comparación de rostros y reconocimientos de emociones. Este proyecto finaliza con la implementación del sistema de análisis de rostros con la integración de los servicios Microsoft Azure Face API
Los estilos APA, Harvard, Vancouver, ISO, etc.
43

Krasov, A., R. Petriv, D. Sakharov, N. Storozhuk y I. Ushakov. "Scalable Honeypot Solution for Corporate Networks Security Provision". Proceedings of Telecommunication Universities 5, n.º 3 (2019): 86–97. http://dx.doi.org/10.31854/1813-324x-2019-5-3-86-97.

Texto completo
Resumen
Trends in modern security technologies with honeypot technologies use are analyzed to detect and explore intruders’ behavior for counteract measures development. Scalable solution proposed and tested within Microsoft Azure exploratory installation. DDoS attack stress test of the solution is performed.
Los estilos APA, Harvard, Vancouver, ISO, etc.
44

Pliugin, V. E., M. Sukhonos, M. Pan, A. N. Petrenko y N. Ya Petrenko. "IMPLEMENTING OF MICROSOFT AZURE MACHINE LEARNING TECHNOLOGY FOR ELECTRIC MACHINES OPTIMIZATION". Electrical Engineering & Electromechanics, n.º 1 (17 de febrero de 2019): 23–28. http://dx.doi.org/10.20998/2074-272x.2019.1.04.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
45

Antico, Mauro, Nicoletta Balletti, Gennaro Laudato, Aldo Lazich, Marco Notarantonio, Rocco Oliveto, Stefano Ricciardi, Simone Scalabrino y Jonathan Simeone. "Postural control assessment via Microsoft Azure Kinect DK: An evaluation study". Computer Methods and Programs in Biomedicine 209 (septiembre de 2021): 106324. http://dx.doi.org/10.1016/j.cmpb.2021.106324.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
46

Olariu, Florin y Lenuța Alboaie. "Challenges In Optimizing Migration Costs From On-Premises To Microsoft Azure". Procedia Computer Science 225 (2023): 3649–59. http://dx.doi.org/10.1016/j.procs.2023.10.360.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
47

G, Harshitha. "Performance Analysis of a Cricketer by Data Visualization". International Journal for Research in Applied Science and Engineering Technology 10, n.º 1 (31 de enero de 2022): 1800–1807. http://dx.doi.org/10.22214/ijraset.2022.40176.

Texto completo
Resumen
Abstract: Indian Premier League is a very competitive tournament where team selection is a very tricky and tedious procedure. Analysis of sports data and Prediction of each player’s performance helps in filtering the best players. A novel method employing the techniques of Data Analytics and Data Visualization is used in this research paper to extract individual player performance from huge statistics and datasets. An application is created to bridge the space between selecting team, coaches, and team management and to give a better interpretation on player steadiness, scoring and further capabilities. In this paper, pandas library is used for data analysis and manipulation tool, Microsoft azure is used for performance prediction and HTML, CSS, flask for the front-end application. Additionally, various machine learning algorithms are applied on the same data to find the best fit. The proposed application can be beneficial for team managements and decision making Keywords: Indian Premier League, Data analytics, Data Visualization, Prediction of player’s Performance, Microsoft Azure
Los estilos APA, Harvard, Vancouver, ISO, etc.
48

Аязбай, Абу-Алим, Бахытжан Байкенов y Елдос Сабырбаев. "ПРОГРАММНОЕ ОБЕСПЕЧЕНИЕ ГОЛОСОВОГО УПРАВЛЕНИЯ РОБОТА-КОНСУЛЬТАНТА". Вестник Алматинского университета энергетики и связи 3, n.º 62 (30 de septiembre de 2023): 90–104. http://dx.doi.org/10.51775/2790-0886_2023_62_3_90.

Texto completo
Resumen
В статье представлена концепция программного комплекса с голосовым управлением, освещается его роль в обеспечении интерактивного и эффективного общения между роботом-консультантом и людьми, обращающимися за поддержкой. Подробно описаны установка и использование Python, OpenCV и Microsoft Azure Speech, что позволяет прояснить техническую базу, лежащую в основе функциональности системы. Кроме того, проведен сравнительный анализ различных моделей GPT-3 и подробно рассмотрены процессы их последующего обучения. Результатом исследования стало создание сложной интегрированной системы. Эта система способна точно распознавать человеческие лица, используя возможности OpenCV по распознаванию лиц, и осуществлять консультативное взаимодействие с помощью ответов на основе GPT-3. В статье рассматриваются последствия полученных результатов, подчеркивается возможность применения программной системы с голосовым управлением в области консультирования. В заключение следует отметить, что данная статья расширяет представление о программных системах с голосовым управлением в контексте роботов-консультантов. Успешная интеграция Python, OpenCV и Microsoft Azure Speech, а также использование моделей GPT-3 демонстрируют возможности системы по расширенному взаимодействию с человеком и управлению биометрическими данными с помощью файлов JSON.
Los estilos APA, Harvard, Vancouver, ISO, etc.
49

Luo, Chuan, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao et al. "Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 14 (18 de mayo de 2021): 12363–72. http://dx.doi.org/10.1609/aaai.v35i14.17467.

Texto completo
Resumen
The optimization of resource is crucial for the operation of public cloud systems such as Microsoft Azure, as well as servers dedicated to the workloads of large customers such as Microsoft 365. Those optimization tasks often need to take unknown parameters into consideration and can be formulated as Prediction+Optimization problems. This paper proposes a new Prediction+Optimization method named Correlation-Aware Heuristic Search (CAHS) that is capable of accounting for the uncertainty in unknown parameters and delivering effective solutions to difficult optimization problems. We apply this method to solving the predictive virtual machine (VM) provisioning (PreVMP) problem, where the VM provisioning plans are optimized based on the predicted demands of different VM types, to ensure rapid provisions upon customers' requests and to pursue high resource utilization. Unlike the current state-of-the-art PreVMP approaches that assume independence among the demands for different VM types, CAHS incorporates demand correlation when conducting prediction and optimization in a novel and effective way. Our experiments on two public benchmarks and one industrial benchmark demonstrate that CAHS can achieve better performance than its nine state-of-the-art competitors. CAHS has been successfully deployed in Microsoft Azure and significantly improved its performance. The main ideas of CAHS have also been leveraged to improve the efficiency and the reliability of the cloud services provided by Microsoft 365.
Los estilos APA, Harvard, Vancouver, ISO, etc.
50

Kurillo, Gregorij, Evan Hemingway, Mu-Lin Cheng y Louis Cheng. "Evaluating the Accuracy of the Azure Kinect and Kinect v2". Sensors 22, n.º 7 (23 de marzo de 2022): 2469. http://dx.doi.org/10.3390/s22072469.

Texto completo
Resumen
The Azure Kinect represents the latest generation of Microsoft Kinect depth cameras. Of interest in this article is the depth and spatial accuracy of the Azure Kinect and how it compares to its predecessor, the Kinect v2. In one experiment, the two sensors are used to capture a planar whiteboard at 15 locations in a grid pattern with laser scanner data serving as ground truth. A set of histograms reveals the temporal-based random depth error inherent in each Kinect. Additionally, a two-dimensional cone of accuracy illustrates the systematic spatial error. At distances greater than 2.5 m, we find the Azure Kinect to have improved accuracy in both spatial and temporal domains as compared to the Kinect v2, while for distances less than 2.5 m, the spatial and temporal accuracies were found to be comparable. In another experiment, we compare the distribution of random depth error between each Kinect sensor by capturing a flat wall across the field of view in horizontal and vertical directions. We find the Azure Kinect to have improved temporal accuracy over the Kinect v2 in the range of 2.5 to 3.5 m for measurements close to the optical axis. The results indicate that the Azure Kinect is a suitable substitute for Kinect v2 in 3D scanning applications.
Los estilos APA, Harvard, Vancouver, ISO, etc.
También puede estar interesado en las bibliografías sobre el tema "Microsoft Azure" para otros tipos de fuentes:
Tesis Libros
Ofrecemos descuentos en todos los planes premium para autores cuyas obras están incluidas en selecciones literarias temáticas. ¡Contáctenos para obtener un código promocional único!

Pasar a la bibliografía