OAuth 2.0

2020 ◽  
pp. 92-139
Author(s):  
Shawon S. M. Rahman ◽  
Nazmul Hossain ◽  
Md Alam Hossain ◽  
Md Zobayer Hossain ◽  
Md Hassan Imam Sohag
Keyword(s):  
Life Cycle ◽  
Power Consumption ◽  
Current Literature ◽  
Web Applications ◽  
Handling Time ◽  
External Resource ◽  
Security Standard ◽  
Security Challenge ◽  
Novel Method

OAuth is an open security standard that enables users to provide specific and time-bound rights to an application to access protected user resources. It stored on some external resource servers without needing them to share their credentials with the application. Unlike websites, for locally installed packaged web applications, the main security challenge is to handle the redirect response. The OAuth flow initiated from packaged web apps is similar to the OAuth flows explained in the current literature. However, for packaged web apps, it is difficult to define an HTTP endpoint as redirection endpoint since these apps are locally installed. The authors have proposed a novel method to execute OAuth flow from such applications with the help of a web runtime framework that manages the life cycle of these applications. They have compared their approach with another two existing approaches. After conducting experiments, they have found their approach blocking all illegal OAuth flow executions. The approach also delivers better OAuth response handling time and power consumption performance.

A Novel Method for Life-Cycle Production Performance Forecast Based on Dynamic Analogs

2011 ◽  
Author(s):  
Xiaoguang Lu ◽  
Shao-Qing Sun ◽  
John Xu ◽  
Wenkuang Wu ◽  
Pengyuan Zhai ◽  
...  
Keyword(s):  
Life Cycle ◽  
Production Performance ◽  
Novel Method

scholarly journals A Novel Method for Detecting Abnormal Energy Data in Building Energy Monitoring System

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Liang Zhao
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Real Time ◽  
Difference Method ◽  
Building Energy ◽  
Energy Monitoring ◽  
Order Difference ◽  
Energy Data ◽  
First Order ◽  
Novel Method

This paper presents a novel abnormal data detecting algorithm based on the first order difference method, which could be used to find out outlier in building energy consumption platform real time. The principle and criterion of methodology are discussed in detail. The results show that outlier in cumulative power consumption could be detected by our method.

Critical reagents issues & solutions for anti-drug antibody assays

Bioanalysis ◽  
2021 ◽  
Author(s):  
Laurent Vermet
Keyword(s):  
Life Cycle ◽  
Current Literature ◽  
Life Cycle Management ◽  
Practical Experience ◽  
Scientific Understanding ◽  
Pragmatic Approach ◽  
Chemical Reagents ◽  
Antibody Assays ◽  
Theoretical Considerations

Background: Anti-Drug Antibody assays (ADA) are developed and constructed with biological and chemical reagents. Capture and detector reagents as well as ADA standard are considered critical for the performance’s characteristics of a bridging assay. Current literature well describes theoretical considerations to manage critical reagents (CR) life cycle management. Nevertheless, those recommendations must be completed by a pragmatic approach which have to be exemplified. Methodology: This article intends to present and describe two study cases of bioanalytical challenge coming from the practical experience of dealing with ADA CR and offers a concrete explanation of how to solve issues. Conclusion: An appropriate management of ADA CR goes through availability anticipation, characterization and by a scientific understanding process of assay and reagents inconsistency.

scholarly journals A Novel Method of Minimizing Power Consumption for Existing Chiller Plant

2017 ◽  
Vol 205 ◽  
pp. 1959-1966 ◽  
Author(s):  
Xue Xue ◽  
Tian Sun ◽  
Wenxing Shi ◽  
Xinhong Li
Keyword(s):  
Power Consumption ◽  
Novel Method

OODM

2003 ◽  
pp. 189-229
Author(s):  
Abad Shah
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Web Applications ◽  
Object Oriented ◽  
Life Cycle Model ◽  
Cycle Model ◽  
Development Life Cycle ◽  
Software Development Life Cycle ◽  
Waterfall Model ◽  
The Web

Today, the Internet and the Web are the most amazingly and dynamically growing computer technologies. The number of users accessing the Web is growing exponentially all over the world. The Web has become a popular environment for new generation of interactive computer applications called Web (or hypermedia) application. The Web applications (WAs) have special characteristics that have made them different from other traditional applications. Hence, many design methodologies for the development of WAs have been proposed. However, most of these methodologies concentrate on the design aspects of applications, and they often do not strictly follow any software development life-cycle model such as the WaterFall software development life-cycle model. In this chapter, we propose an object-oriented design methodology for the development of WAs. The main features of this proposed methodology are that it follows WaterFall model and captures the operations in objects of the applications; thus making the methodology an object-oriented methodology.

How Much Energy Needs for Running Energy Harvesting Powered Wireless Sensor Node?

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Fariborz Entezami ◽  
Meiling Zhu ◽  
Christos Politis
Keyword(s):  
Life Cycle ◽  
Energy Harvesting ◽  
Power Consumption ◽  
Wireless Sensors ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Test Bed ◽  
Limited Energy ◽  
Energy Needs

AbstractThere is a big challenge for research and industrial engineers to apply energy harvesting powered wireless sensors for practical applications. This is because wireless sensors is very power hungry while current energy harvesting systems can only harvest very limited energy from the ambient environment. In order for wireless sensors to be operated based on the limited energy harvested, understanding of power consumption of wireless sensors is the first task for implementation of energy harvesting powered wireless sensors systems. In this research an energy consumption model has been introduced for wireless sensor nodes and the power consumption in the life cycle of wireless communication sensors, consisting of JN5148 microcontroller and custom built sensors: a 3-axial accelerometer, a temperature sensor and a light sensor, has been studied. All measurements are based on a custom-built test bed. The power required carrying out a life cycle of wireless sensing and transmission is analysed. This paper describes how to analyse the current consumption of the system in active mode and thus power Consumption for sleeping and deployed sensors mode. The results show how much energy needs to run the energy harvesting powered wireless sensor node with JN5148 microcontroller.

scholarly journals Learning Your Earning: Are Labor Income Shocks Really Very Persistent?

2007 ◽  
Vol 97 (3) ◽  
pp. 687-712 ◽  
Author(s):  
Fatih Guvenen
Keyword(s):  
Life Cycle ◽  
Current Literature ◽  
Previous Literature ◽  
Labor Income ◽  
Income Shocks ◽  
Life Cycle Model ◽  
Cycle Model ◽  
Consumption Data ◽  
Hip Process

The current literature offers two views on the nature of the labor income process. According to the first view, individuals are subject to very persistent income shocks while facing similar life-cycle income profiles (the RIP process, Thomas MaCurdy 1982). According to the alternative, individuals are subject to shocks with modest persistence while facing individual-specific profiles (the HIP process, Lee A. Lillard and Yoram A. Weiss 1979). In this paper we study the restrictions imposed by these two processes on consumption data—in the context of a life-cycle model—to distinguish between the two views. We find that the life-cycle model with a HIP process, which has not been studied in the previous literature, is consistent with several features of consumption data, whereas the model with a RIP process is consistent with some, but not with others. We conclude that the HIP model could be a credible contender to—and along some dimensions, a more coherent alternative than—the RIP model. (JEL D83, D91, E21, J31)

scholarly journals A Novel Method for Technology Forecasting and Developing R&D Strategy of Building Integrated Photovoltaic Technology Industry

2012 ◽  
Vol 2012 ◽  
pp. 1-24 ◽  
Author(s):  
Yu-Jing Chiu ◽  
Tao-Ming Ying
Keyword(s):  
Life Cycle ◽  
Hybrid Approach ◽  
Three Dimensional ◽  
Logistic Growth ◽  
Technology Industry ◽  
Energy Technologies ◽  
Building Integrated Photovoltaic ◽  
Important Trend ◽  
Novel Method ◽  
Map Analysis

Because of global warming, renewable energy technologies have become more essential currently, with solar energy technology advancing worldwide. Therefore, interdisciplinary integration is an important trend, and building-integrated photovoltaic (BIPV) is an emerging technology involving the photovoltaic and building fields. The purpose of this study is to understand the technology evolution of BIPV and to determine the R&D planning direction. This paper proposes a hybrid approach to explore the life cycle of BIPV technology and develop the R&D strategy of related industries. The proposed approach comprises the following submodules. First, patent analysis is employed to transform patent documents into structured data. Second, the logistic growth model is used to explore the life cycle of BIPV technology. Third, a patent matrix map analysis is used to develop the R&D strategy of the BIPV industry. Through the analysis by the logistic model, the BIPV technology is transformed from the emerging stage to the growth stage of a long-term life cycle. The other important result is created by the three-dimensional matrix for R&D strategies in this paper.

scholarly journals Efficient Resource Utilization Based on Energy Management in Cloud Data Center

2019 ◽  
Vol 8 (6) ◽  
pp. 340-344
Keyword(s):  
Power Consumption ◽  
Resource Utilization ◽  
Data Center ◽  
Vital Role ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Network Bandwidth ◽  
Efficient Resource ◽  
Novel Method ◽  
Dynamic Resource

Efficient resource utilization plays a vital role in cloud computing since the shared computational power of the resources is offered on demand. During dynamic resource allocation sometimes a server may be over utilized or underutilized thus leading to excess of energy consumption in the data centers. So the proposed system calculates the over utilization and underutilization of a CPU and RAM usage and also considers the network bandwidth usage to reduce power consumption in the cloud data center. Hence, a novel method is used for minimizing power consumption in the data center

scholarly journals A data-driven method to detect the flattening of the COVID-19 pandemic curve and estimating its ending life-cycle using only the time-series of new cases per day.

2020 ◽  
Author(s):  
Dr. Praveen Gupta ◽  
Prof. K.K. Sharma ◽  
Prof. S.D. Joshi ◽  
Dr. S. Goyal
Keyword(s):  
Time Series ◽  
Life Cycle ◽  
Real Life ◽  
The United States ◽  
Health Care Facilities ◽  
The Future ◽  
Containment Measures ◽  
The Usa ◽  
Novel Method ◽  
Novel Coronavirus

The novel Coronavirus-19 disease (COVID-19) has emerged as a pandemic and has presented itself as an unprecedented challenge to the majority of countries worldwide. The containment measures for this disease such as the requirement of health care facilities greatly rely on estimating the future dynamics and flattening of the COVID-19 curve. However, it is always challenging to estimate the future trends and flattening of the COVID-19 curve due to the involvement of many real-life variables. Recently, traditional methods based on SIR and SEIR have been presented for predictive monitoring and detection of flattening of the COVID-19 curve. In this paper, a novel method for detection of flattening of the COVID-19 curve and its ending life-cycle using only the time-series of new cases per day is presented. Simulation results are compared to the SIR based methods in three different scenarios using COVID-19 curves for South Korea, the United States of America, and India. In this study, simulations, performed on the 26th April 2020 show that the peak of the COVID-19 curve in the USA has already arrived and situated on the 14th of April 2020, while the peak of the COVID-19 curve for India has yet to arrive.

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