Selling FLOPs

To meet the user demand for an ever-increasing mobile-cloud computing performance for resource-intensive mobile applications, we propose a new service architecture called Acceleration as a Service (AXaaS). We formulate AXaaS based on the observation that most resource-intensive applications, such as real-time face-recognition and augmented reality, have similar resource-demand characteristics: a vast majority of the program execution time is spent on a limited set of library calls, such as Generalized Matrix-Multiply operations (GEMM), or FFT. Our AXaaS model suggests accelerating only these operations by the Telecom Service Providers (TSP). We envision the TSP offering this service through a monthly computational service charge, much like their existing monthly bandwidth charge. We demonstrate the technological and business feasibility of AXaaS on a proof-of-concept real-time face recognition application. We elaborate on the consumer, developer, and the TSP view of this model. Our results confirm AXaaS as a novel and viable business model.

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Secure Drone Network Edge Service Architecture Guaranteed by DAG-Based Blockchain for Flying Automation under 5G

Sensors ◽

10.3390/s20216209 ◽

2020 ◽

Vol 20 (21) ◽

pp. 6209

Author(s):

Ying Gao ◽

Yangliang Liu ◽

Quansi Wen ◽

Hongliang Lin ◽

Yijian Chen

Keyword(s):

Real Time ◽

Service Providers ◽

Mobile Network ◽

Edge Computing ◽

Third Party ◽

Security And Privacy ◽

Network Service ◽

Specific Service ◽

Service Architecture ◽

Service Environment

With the development of the Internet of Things (IoT), the number of drones, as a consumer-level IoT device, is rapidly increasing. The existence of a large number of drones increases the risk of misoperation during manual control. Therefore, it has become an inevitable trend to realize drone flying automation. Drone flying automation mainly relies on massive drone applications and services as well as third-party service providers, which not only complicate the drone network service environment but also raise some security and privacy issues. To address these challenges, this article proposes an innovative architecture called Secure Drone Network Edge Service (SDNES), which integrates edge computing and blockchain into the drone network to provide real-time and reliable network services for drones. To design a feasible and rational SDNES architecture, we first consider the real-time performance and apply edge computing technology in it to provide low-latency edge services for drones under 5G mobile network. We use DAG-based blockchain to guarantee the security and reliability of the drone network service environment and effectively avoid malicious behaviors. In order to illustrate the feasibility of this architecture, we design and implement a specific service case named Drone Collision Avoidance Navigation Service based on SDNES. Finally, a simulation experiment for the specific service case and a series of other performance-related experiments were carried out to verify the feasibility and rationality of our proposed architecture. The experimental results demonstrate that SDNES is a promising architecture to assist and accelerate drone flying automation.

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Real Time Person Recognition and Attendance Marking Using Holistic Based Approach

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i7/0220 ◽

2017 ◽

Vol 7 (7) ◽

pp. 302

Author(s):

Reshma P ◽

Muneer VK ◽

Muhammed Ilyas P

Keyword(s):

Face Recognition ◽

Real Time ◽

High Accuracy ◽

Efficient Technique ◽

Human Face ◽

Traditional Methods ◽

Person Recognition ◽

The Face

Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.

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Real Time Gender and Age Prediction using Deep Learning Techniques

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.e2906.049620 ◽

2020 ◽

Vol 9 (6) ◽

pp. 797-801

Keyword(s):

Deep Learning ◽

Face Recognition ◽

Real Time ◽

Vital Role ◽

Learning Techniques ◽

Gender And Age ◽

The Face ◽

And Gender ◽

Gender Detection ◽

Age Prediction

Face recognition plays a vital role in security purpose. In recent years, the researchers have focused on the pose illumination, face recognition, etc,. The traditional methods of face recognition focus on Open CV’s fisher faces which results in analyzing the face expressions and attributes. Deep learning method used in this proposed system is Convolutional Neural Network (CNN). Proposed work includes the following modules: [1] Face Detection [2] Gender Recognition [3] Age Prediction. Thus the results obtained from this work prove that real time age and gender detection using CNN provides better accuracy results compared to other existing approaches.

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Development of the Facial-Color Simulator with Real-Time Face Recognition

The Journal of the Society for Art and Science ◽

10.3756/artsci.6.53 ◽

2007 ◽

Vol 6 (2) ◽

pp. 53-64

Author(s):

Takao Makino ◽

Toshiya Nakaguchi ◽

Norimichi Tsumura ◽

Koichi Takase ◽

Saya Okaguchi ◽

...

Keyword(s):

Face Recognition ◽

Real Time

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Exploration of Product Centric Factors in Telecom Industry

Telecom Business Review ◽

10.21863/tbr/2015.8.1.004 ◽

2015 ◽

Vol 8 (1) ◽

Author(s):

Swati Ganeti ◽

Rajat Agarwal ◽

Murali Krishna Medudula ◽

Mahim Sagar

Keyword(s):

Service Quality ◽

Service Provider ◽

Service Providers ◽

Network Connectivity ◽

Factor Loading ◽

The Other ◽

Relative Importance ◽

Network Connection ◽

Telecom Service ◽

Telecom Industry

Telecom industry is one of those industries which has changed dramatically during the past decade. With more and more players entering in this industry, competition is ever increasing. The war between these players is slowly shifting from the price to the augmentation. This paper aims at exploring such factors which influence a customers preference of one telecom service provider (TSP) over the other. It is a descriptive research where study has been conducted among the consumers of different telecom service providers (TSPs). By reviewing the existing literature in this domain, we explored different factors which affect the consumers decision to prefer one telecom service provider over the other. A consumer targeted questionnaire was designed where consumers were asked about the factors they consider (with their relative importance quantified using Likert scale), before buying a new network connection to know the relative importance of the various factors. Factor Analysis was performed to club various variables into distinct factors. Statistical techniques then helped in identifying the relative importance. From the Factor Loading matrix the following five factors were generated:- Overall service quality, Point of Purchase Differentiator, Promotion Measures, Tariff Plans and Size of the Network. Further study in the behavioural perceptions of consumer shows that the most important factor in influencing the customer buying behavior is Service Quality. The second most important factor is cost and various plans offered by the telecom service provider. Network connectivity was considered by almost all the respondents and consumers prefer the largest network player. The study also found that promotional measures dont influence the customers as expected.

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Real-Time Image Processing: Face Recognition based Automated Attendance System in-built with “Two-Tier Authentication” Method

2020 International Conference on Data Science and Engineering (ICDSE) ◽

10.1109/icdse50459.2020.9310090 ◽

2020 ◽

Author(s):

Riddhi Mehta ◽

Sidh Satam ◽

Maaz Ansari ◽

Sarada Samantaray

Keyword(s):

Image Processing ◽

Face Recognition ◽

Real Time ◽

Real Time Image Processing ◽

Real Time Image ◽

Time Image

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Smart drone with real time face recognition

Materials Today Proceedings ◽

10.1016/j.matpr.2021.07.214 ◽

2021 ◽

Author(s):

Shanthi K.G. ◽

Sivalakshmi P. ◽

Sesha Vidhya S. ◽

Sangeetha Lakshmi K.

Keyword(s):

Face Recognition ◽

Real Time

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COMPARATIVE ANALYSIS OF CUSTOMER SATISFACTION OF TELECOM SERVICE PROVIDERS IN HARYANA

INFORMATION TECHNOLOGY IN INDUSTRY ◽

10.17762/itii.v9i1.191 ◽

2021 ◽

Vol 9 (1) ◽

pp. 709-719

Author(s):

RAMESH C. HOODA, DR. VIKAS TYAGI

Keyword(s):

Comparative Analysis ◽

Customer Satisfaction ◽

Mobile Networks ◽

Research Study ◽

Service Providers ◽

Advanced Technology ◽

Survey Method ◽

Extensive Literature ◽

Systematic Analysis ◽

Telecom Service

Objective of the study is to make a comparative analysis of customer satisfaction of different Telecom Service Providers in Haryana along with identification of factors which influence customer satisfaction. After completing extensive literature review, eight attributes namely ‘attractive offers’, ‘using advanced technology’, ‘mobile provider being friendly’, ‘reliability’, ‘promptness of response’, ‘it delivers promises, it makes’, ‘availability’ and ‘network’ are identified influencing customers satisfaction. Survey method was adopted for the study. 250 respondents of different TSP’s covering all Telecom Districts in Haryana. SPSS 21.0 was applied for analysis of the collected data. Statistical tools namely Descriptive Analysis, Frequency Analysis, Cross-Tabs Analysis and One Way ANOVA were used in the research study. After systematic analysis and findings of the study, it is found that highest percentage of respondents are satisfied with the attributes namely ‘attractive offers’, ‘mobile provider being friendly’, ‘availability’ and ‘network’ of Airtel along with ‘reliability’ and ‘it delivers promises, it makes’ of Vodafone-Idea, ‘promptness of response’ of BSNL and ‘using advanced technology’ of Reliance-Jio. It is also revealed from the study that Airtel is required to improve ‘reliability’ and ‘availability’ of its mobile networks. Vodafone-Idea needs to improve upon the attributes ‘attractive offers’, ‘using advanced technology’, ‘mobile provider being friendly’ and ‘network’. BSNL may further improve ‘promptness of response’ and Reliance-Jio needs to show improvement about ‘it delivers promises, it makes’. It is concluded from the research study that services of Airtel are preferred by maximum percentage of respondents.

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