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Analysis of Netflix New Policy to Intention to Subscribe after Bubble Burst Phenomenon

Analysis of Netflix New Policy to Intention to Subscribe aft...

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2023 International conference on computer Science, Information Technology and engineering, ICCoSITE 2023

作者： Gustavo, Ronald Wijaya, Albert Andrianus Halim, Erwin Hebrard, Marylise Bina Nusantara University School of Information Systems Information Systems Department Jakarta11480 Indonesia Institut des Usages Enterprise Law Program Study Montpellier France

ISBN: (纸本)9798350320954

In the Bubble Burst phenomenon, several companies were affected, including Netflix. Netflix company value fell and quickly lost many users over the last few quarters. At this year's end, Netflix implemented a New Policy (ad-supported packages and sub-account features). Still, it has yet to be implemented in Indonesia. Therefore, this research aims to determine how the new Netflix Policy Subscription Intentions will implement in Indonesia. This study used a quantitative method using a Purposive Sampling method to collect questionnaire data using a Google form for 430 Netflix users, mainly from Jabodetabek Area (Jakarta, Bogor, Depok, Tangerang, and Bekasi;cities in Indonesia) on November 18-27, 2022 and a literature review as supporting data. The data was processed using SmartPLS 4.0 software as a statistical tool. There are nine variables, with the model building having eight hypotheses;the results of the study show that seven have a significant effect and one hypothesis has no significant effect. because the results of the P value are above 0.50 and the t statistic is below 1,654 for one tail significant and after testing the validity and reliability it shows that all indicators are valid, these results prove that the New Policy implemented by Netflix can be accepted now and will be investigated for further research. © 2023 IEEE.

关键词： Video on demand

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Design and Implementation of Yipai App Based on Artificial Intelligence Technology 2

Design and Implementation of Yipai App Based on Artificial I...

引用

2nd International conference on Automation, Robotics and computer engineering, ICARCE 2023

作者： Zheng, Lanqing Jiang, Pan Kong, Huafeng School of Information Engineering Wuhan Business University Wuhan China

ISBN: (纸本)9798350308341

With the increasing popularity and upgrading of mobile phone cameras, the pixel, sensor, aperture, lens and software algorithms of mobile phone cameras are constantly iterative. Taking photos and sharing life has been integrated into our lives, but there are still many people who cannot master the photography skills proficiently and are at a loss in the face of taking photos, so the market demand for photo systems is large. 'Yipai APP based on artificial intelligence technology' is a photo APP that guides users to take photos and provides booking and requesting photos. Its front-end is mainly developed by the system program using Java language, the back-end uses SQLite to store and manage data, and realizes artificial interaction by using natural language processing technology. Intelligent guidance is provided to users, and AI intelligent matching copy is performed on the photos taken. When the user does not want to take a selfie, this system also provides appointment service, of course, the photographer user can also publish help to take a post, looking for customers. Mobile phone photo APP has a broad prospect, and the function of easy APP is relatively rare in the photo market, which brings great opportunities and markets to the development of easy APP. © 2023 IEEE.

关键词： Android (operating system)

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Investigation Malware Analysis Depend on Reverse engineering

Investigation Malware Analysis Depend on Reverse Engineering

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2022 International conference on Data Science and Intelligent Computing, ICDSIC 2022

作者： Ismael, Maher F. Thanoon, Karam H. University of Mosul Software Science Department Mosul Iraq

ISBN: (纸本)9798350334883

Malware is constituted increasing number of hazards to people all around the world. Cybercrime is inextricably linked to today's expanding use of the internet and technology, which malicious activity to its users and their computer systems. Attacker's computer that seeks to infiltrate a computer system. without your knowledge in order to disturb your machines functioning. Anyone could be a potential victim. During last two years, more malicious software has been generated than in the past 10 years total because of money profit. Malware has its own defensive mechanism, and it may evade detection by antivirus software or even infect it, therefore detection process not easy and depend on information about malware that analyst collect it during analysis stage. Malware may be dealt with by understanding how to operate when attacking a computer system. Because of the large number of malwares, security researchers are working hard to build accurate and effective malware detection algorithms. This paper provides an analysis of malware by using various malware samples, an overview and in-depth analysis of malware analysis based on reverse engineering techniques, which represent a great valuable information that all anti-malware and anti-virus program companies search about it in order to update their products. © 2022 IEEE.

关键词： Reverse engineering

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Smart Vision software Application using Machine Learning 3

Smart Vision Software Application using Machine Learning

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3rd International conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Alagarsamy, Saravanan Deepak, Prudhivi Lavanya, M. Reddy, T. Gowtham Kedareswari, M. Senthil Kumar, A. Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Anand Nagar Tamilnadu Krishnankoil India Aarupadai Veedu Institute of Technology Department of Mechanical and Engineering Tamilnadu India

ISBN: (纸本)9781665462167

The Smart Vision Application's premise is that there are numerous rising new technologies that are excelling in their fields. The following are a few of the technologies or models that are now in use: estimation of human pose, steering angle capture, lane detection, and object detection. These are all the various approaches and superb models created with Open Pose and other tools. Since each of these systems has unique characteristics, it is vital to separately construct each one before comprehending how it works. Because there is no trial version available for consumers to use to learn how the model works, these models must be constructed using codes creating a web application that will enable students to learn about and experience how each model functions by using the camera on their device. For business professionals who can use their own models to run, deploy, and test, not simply for users. Every module on the list has some connection to autonomous navigation. These systems have been combined into a single Web application so that students may easily experiment with them and see how they work in real-time. As a result, this platform presents excellent opportunities for students and enthusiastic learners to interact with the live demo and understand how each model functions. It is believed that the Web application will serve as an excellent tool for students to experiment with and gain a feel for the operation of the aforementioned computer vision models. © 2023 IEEE.

关键词： Students

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Intelligent Analytical Randomization of Clinical Trials 12th

Intelligent Analytical Randomization of Clinical Trials

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12th International Advanced Computing conference, IACC 2022

作者： Sharma, Vandana Singh, Shalini Computer Science ABES Engineering College UP Ghaziabad India Computer Science and Engineering Quantum University Uttarakhand Roorkee India

ISBN: (纸本)9783031356407

Patients are assigned randomly to treatment groups in clinical studies. Artificial intelligence is proving to be an excellent instrument that has a significant impact on clinical trials for traditional random drugs. The common problems in random trials, such as cohort patient recruiting, patient monitoring, cost, and time, are escalating quickly as the number of patients’ data continues to grow. The utilization of big data and Deep Learning (DL), a machine learning technology, has altered how clinical trials and drug development are conducted. For effective trials, a variety of tools are employed, including patient selection, patient compliance, AI/ML-based software that is used in healthcare, and drug discovery. Compared to conventional RCTs, AI systems can operate more efficiently and with more statistical power. One Meagre Issue Clearly Sufficient (OMICS) data, which includes imaging, laboratory, and many other complexities, can be combined by machine learning. Endpoints created by AI can improve measurement accuracy and conduct data analysis without the aid of a person. © 2023, Springer Nature Switzerland AG.

关键词： Patient monitoring

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Estimating Finger Joint Angles with Wearable System Based on Machine Learning Model Utilizing 3D computer Graphics

Estimating Finger Joint Angles with Wearable System Based on...

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2023 IEEE International conference on systems, Man, and Cybernetics, SMC 2023

作者： Obinata, T. Yoshikawa, D. Uehara, A. Kawamoto, H. Graduate School of Science and Technology University of Tsukuba Ibaraki Japan Japan Society for the Promotion of Science Japan Institute of Systems and Information Engineering Center for Cybernics Research University of Tsukuba Ibaraki Tsukuba Japan

ISBN: (纸本)9798350337020

Robotic rehabilitation for paralyzed hands utilizes exoskeletons and soft gloves equipped with active mechanisms to provide support for hand motion. From a safety and control perspective, it is imperative to measure finger joint angles during motion support provided by a soft robotic wearable system. However, embedding sensors into these devices can be inconvenient as it may lead to bulkiness or structural difficulties. This study aims to develop a machine learning model for estimating finger joint angles from images utilizing data created with computer graphics (CG), and to validate the feasibility of this method through basic experiments. The three-dimensional CG (3DCG) hand model includes bones corresponding to the major joints of the fingers, and a wearable system of the index finger imported from a computer-aided design software was attached to the 3DCG hand model. After rendering the integrated motion between the hand model and the wearable system for finger flexion and extension, images in conjunction with the finger joint angles were recorded as the training data. The finger joint angle estimator was based on a pre-trained vision transformer model and was learned using the created 3DCG training dataset. The basic experiments showed that the developed machine learning model enabled the estimation of finger joint angles with reproducibility for four types of hand postures with the wearable system. Furthermore, the differences between the joint angles measured in the real world and those estimated by the developed model were smaller than those for an existing hand pose estimation model. The developed machine learning model, which utilizes 3DCG, has the potential to estimate finger joint angles with the wearable system using image videos. © 2023 IEEE.

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A Bibliometric Analysis of Agile software Development Publications 3

A Bibliometric Analysis of Agile Software Development Public...

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3rd International Informatics and software engineering conference, IISEC 2022

作者： Ozkan, Necmettin Erdogan, Tugba Gurgen Gok, Mehmet Sahin Architecht Information Systems R&d and Coordination Department Istanbul Turkey Hacettepe University Computer Engineering Department Ankara Turkey Gebze Technical University Department of Business Kocaeli Turkey

ISBN: (数字)9781665459952

ISBN: (纸本)9781665459952

software development has nowadays reached a wide adoption due to increasing demands from varying kinds of organizations and it, as a complex domain, adopts increasingly more Agile approaches. This interest is parallel to what the academic literature on Agile poses. However, despite this prevalence, there is a lack of bibliometric research on Agile. Considering this gap, we performed a quantitative bibliometric analysis of Agile publications worldwide using Scrum as the method. We provide a summary of relevant academic studies that emerged in Agile research by focusing on many aspects including bibliometric properties of papers, researchers, affiliations, and thematic contents. After delivering the results based on these aspects, we discussed the results and findings of our study. © 2022 IEEE.

关键词： software design

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Alternate Least Square and Root Polynomial Based Colour-Correction Method for High Dimensional Environment 1

引用

3rd International conference on Emergent Converging Technologies and Biomedical systems, ETBS 2023

作者： Babbar, Geetanjali Bajaj, Rohit Chandigarh University Gharuan India Department of CSE CEC Punjab Landran India Department of Computer Science Chandigarh University Gharuan India

ISBN: (数字)9789819986460

ISBN: (纸本)9789819986453

The colours of a digital image rely not only on lighting conditions and the features of the capturing device but also on the surface qualities of the things included in the picture. The calculation of scene colorimetric from raw data remains an unresolved problem, particularly for digital photographs taken by digital image-capturing equipment under ambiguous lighting conditions. As a result, this work proposes an efficient and cost-efficient method for colour correction that combines Root Polynomial (RP) as well as Alternate Least Square (ALS) methodologies. Reducing errors within the reference picture and the target image is the suggested model’s main goal to raise the ultimate performance of the model. We then applied a combined ALS RP-based colour-correcting algorithm to the objective images to address this problem. To make colour coordinates easier to grasp, we additionally translated the example reference image as well as the target image into multiple different colour spaces such as LAB colour space, LUV colour space, and finally RGB. The proposed scheme is evaluated by the use of the Amsterdam Library of Object Images (ALOI) dataset and simulations are conducted using MATLAB software. Different performance matrices, such as Mean, Median, 95% Quantile, and Maximum Errors, are used to determine the simulated results. The outcome of these parameters in terms of various models shows that applying the suggested colour correction models results in the least amount of error difference between two images, indicating that colour transfer is accomplished smoothly. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： computer vision

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Formation of a mathematical model and a method of statistical research of digital transformation of corporate training

Formation of a mathematical model and a method of statistica...

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2023 International conference on Digital Transformation: Informatics, Economics, and Education, DTIEE 2023

作者： Isii, N. Britvina, V.V. Gavrilyuk, A.V. Konyukhov, V.G. Agostinho, A.C. Moscow State Technological University "STANKIN" a Vadkovsky per. Moscow127055 Russia Moscow Polytechnic University 38 st. Bolshaya Semyonovskaya Moscow107023 Russia Lomonosov Moscow State University 1 Leninskie Gory Moscow119991 Russia 4 Sirenevyj Boulevard Moscow105122 Russia

ISBN: (纸本)9781510664845

This work is devoted to the formation of a mathematical model and a method for statistical research of the digital transformation of corporate training. The purpose of the work is to compare the results of digitalization of training in the company. Several options for digitalized learning (classical LMS systems, microlearning, simulation and gamified courses) were tested on employees with different levels of knowledge in the field of computer science and information technology. The use of mathematical models in this case makes it possible to increase the level of calculations, and statistical models help to calculate the effectiveness of digitalization in a company when introducing information technologies. Conceptual and mathematical models, methods and technologies for studying digital transformation used in practice make it possible to increase the assimilation of information by employees with the further construction of a statistical model to achieve the set goals and solve the identified tasks. Choosing a specific software package for creating a digital environment it is necessary to use modern digital technologies and software tools in the performance of research work and determine the most effective mathematical model that allows you to identify the features and prospects for the formation and development of human capital. After analyzing the results using Fisher Angular Transform, we found that any of the above information technologies are equally well suited for different audiences with different levels of digital skills, but the option that uses technologies that simulate real conditions turned out to be the most effective of them. To increase the effectiveness of corporate training, it is possible to introduce both individual tools and complexes. © 2023 SPIE.

关键词： computer aided software engineering

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A SYSTEMATIC STUDY ABOUT CRYPTO JACKING

A SYSTEMATIC STUDY ABOUT CRYPTO JACKING

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2023 IEEE International conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication engineering, RMKMATE 2023

作者： Sriman, B. Kumar, S. Goutham Dhanushram, S. Balaji, K. Priyan, P. Ajay Computer Science Engineering Rajalakshmi Institute of Technology Tamil Nadu Chennai India Computer Science and Business Systems Rajalakshmi Institute of Technology Tamil Nadu Chennai India

ISBN: (纸本)9798350305708

In this paper, we examine Crypto Jacking which is the significant threat to the world and how this threat is handled by the advanced technologies like Artificial Intelligence. Cryptocurrencies are based on blockchain, a distributed public ledger that keeps track of all transactions that are updated and held by currency holders. Rise of the Cryptocurrency has also led to the rise of Crypto-malware. Crypto jacking is a type of cyberattack in which cyber criminals use the target's computational power illegally for mining cryptocurrencies. The worldwide danger landscape is becoming dominated by crypto-jacking. The European Union Agency for Cybersecurity's (ENISA) annual study ranked crypto jacking as the third most common cybersecurity threat in 2021. Monero (NMR) is the most popular cryptocurrency for malicious mining since it offers a high level of anonymity for the users and their transactions. Coin Hive is an in-built browser for cryptocurrency mining and this browser allows the malicious software and their programs to mine the Monero (XMR). Though Coin Hive was used legally for the purposes like raising funds it was predominately used for these kinds of illegal mining activities. © 2023 IEEE.

关键词： Artificial Intelligence Blockchain Cryptocurrency Cryptojacking

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