The convergence of wireless networks and multimedia communications, linked to the swift development of services and the increasing competition, has caused user expectations of network quality to rise. Network quality has become one of the main targets for the network optimization and maintenance departments.
Traditionally, network measurements such as accessibility, maintainability, and quality were enough to evaluate the user experience of voice services [1]. However, for data services, the correlation between network measurements and user benefits is not as straightforward. Firstly, the data system, due to the use of packet switching, is affected by the performance of individual nodes and protocols through which information travels, and, secondly, radio resources are now shared among different applications. Under these conditions, the performance evaluation of data services is usually carried out by monitoring terminals on the real network.
The end-to-end quality experienced by an end user results from a combination of elements throughout the protocol stack and system components. Thus, the performance evaluation of the service requires a detailed performance analysis of the entire network (from the user equipment up to the application server or remote user equipment).
Quality of experience (QoE) is a subjective measurement of the quality experienced by a user when he uses a telecommunication service. The aim pursued when assessing the quality of service (QoS) may be the desire to optimize the operation of the network from a perspective purely based on objective parameters, or the more recent need of determining the quality that the user is actually achieving, as well as its satisfaction level. However, the QoE goes further and takes into account the satisfaction a user receives in terms of both content and use of applications. In this sense, the introduction of smartphones has been a quantitative leap in user QoE expectations.
Traditionally, QoE has been evaluated through subjective tests carried out on the users in order to assess their satisfaction degree with a mean opinion score (MOS) value. This type of approach is obviously quite expensive, as well as annoying to the user. Additionally, this method cannot be used for making decisions to improve the QoE on the move. That is why in recent years new methods have been proposed to estimate the QoE based on certain performance indicators associated with services. A possible solution to evaluate instantaneously the QoE is to integrate QoE analysers in the mobile terminal itself [2]. If mobile terminals are able to report the measurements to a central server, the
QoE assessment process is simplified significantly. Other solutions are focused on including new network elements (e.g., network analysers, deep packet inspectors, etc.) that are responsible for capturing the traffic from a certain service and analysing its performance [3]. For instance, the work presented in [4] investigates the ...
Application-Based QoS Evaluation of Heterogeneous Networks csandit
Heterogeneous wireless networks expand the network capacity and coverage by leveraging the
network architecture and resources in a dynamic fashion. However, the presence of different
communication technologies makes the Quality of Service (QoS) evaluation, management, and
monitoring of these networks very challenging. Each communication technology has its own
characteristics while the applications that utilize them have their specific QoS requirements.
Although, the communication technologies have different performance assessment parameters,
the applications using these radio access networks have the same QoS requirements. As a
result, it would be easier to evaluate the QoS of the access networks and the overall network
configuration depending on the performance of applications running on them. Using such
application-based QoS evaluation approach, the heterogeneous nature of the underlying
networks and the diversity of their traffic can be adequately taken into account. In this paper,
we propose an application-based QoS evaluation approach for heterogeneous networks.
Through simulation studies, we show that this assessment approach facilitates better QoS
management and monitoring of heterogeneous network configurations.
APPLICATION-BASED QOS EVALUATION OF HETEROGENEOUS NETWORKS cscpconf
Heterogeneous wireless networks expand the network capacity and coverage by leveraging the network architecture and resources in a dynamic fashion. However, the presence of different communication technologies makes the Quality of Service (QoS) evaluation, management, and monitoring of these networks very challenging. Each communication technology has its own characteristics while the applications that utilize them have their specific QoS requirements. Although, the communication technologies have different performance assessment parameters, the applications using these radio access networks have the same QoS requirements. As a result, it would be easier to evaluate the QoS of the access networks and the overall network configuration depending on the performance of applications running on them. Using such application-based QoS evaluation approach, the heterogeneous nature of the underlying networks and the diversity of their traffic can be adequately taken into account. In this paper, we propose an application-based QoS evaluation approach for heterogeneous networks. Through simulation studies, we show that this assessment approach facilitates better QoS management and monitoring of heterogeneous network configurations.
CHARACTERIZATION OF USER-PERCEIVED QUALITY OF SERVICE (QOS) IN MOBILE DEVICES...ijwmn
This paper presents a user-centric and application-specific QoS assessment methodology for cellular
communication networks. Specifically, it uses the Analytic Hierarchy Process (AHP) to evaluate QoS as a
multi-criteria decision problem that represents how well cellular networks’ data services are perceived
given particular sets of application classes and relative to other networks servicing in the same area. As
part of the methodology, drive testing is performed to collect objective measurements associated with
identified QoS criteria for data services. Once drive testing is performed and data collected, multiple
networks are compared to determine the network that provides higher QoS based on users’ perception of
quality. The selection of the best performing network is based on the output provided by the AHP
approach, which is used as unified measurement of the perceived QoS by users on different networks. In
order to determine application-specific priorities, the approach presented uses three different application
classes, including Emergency, Business, and Personal. For each class, the relative importance of each
quality evaluation criteria is adjusted in the AHP procedure to reflect the priorities of the services
expected. Through several case studies, the approach is proven successful in providing a way for
analyzing user-centric QoS for application-specific scenarios.
SURVEY ON QOE\QOS CORRELATION MODELS FORMULTIMEDIA SERVICESijdpsjournal
This paper presents a brief review of some existing correlation models which attempt to map Quality of
Service (QoS) to Quality of Experience (QoE) for multimedia services. The term QoS refers to deterministic
network behaviour, so that data can be transported with a minimum of packet loss, delay and maximum
bandwidth. QoE is a subjective measure that involves human dimensions; it ties together user perception,
expectations, and experience of the application and network performance. The Holy Grail of subjective
measurement is to predict it from the objective measurements; in other words predict QoE from a given set
of QoS parameters or vice versa. Whilst there are many quality models for multimedia, most of them are
only partial solutions to predicting QoE from a given QoS. This contribution analyses a number of previous
attempts and optimisation techniquesthat can reliably compute the weighting coefficients for the QoS/QoE
mapping.
In this paper, an application-based QoS evaluation approach for heterogeneous networks is proposed.It is possible to expand the network capacity and coverage in a dynamic fashion by applying heterogeneous wireless network architecture. However, the Quality of Service (QoS) evaluation of this type of network architecture is very challenging due to the presence of different communication technologies. Different communication technologies have different characteristics and the applications that utilize them have unique QoS requirements. Although, the communication technologies have different performance measurement parameters, the applications using these radio access networks have the same QoS requirements. As a result, it would be easier to evaluate the QoS of the access networks and the overall network configuration based on the performance of applications running on them. Using such applicationbased QoS evaluation approach, the heterogeneous nature of the underlying networks and the diversity of their traffic can be adequately taken into account. Through simulation studies, we show that the application performance based assessment approach facilitates better QoS management and monitoring of heterogeneous network configurations.
Correlating objective factors with videoIJCNCJournal
To succeed in providing services, the quality of services should meet users’ satisfaction. This is a motivation to study the relationship between the service quality and the real perceived quality of users, which is commonly referred to as the quality of experience (QoE). However, most of existing QoE studies that focus on video-on-demand or IPTV services analyze only the influence of network behaviors to video quality. This paper focuses on P2P video streaming services, which are becoming a significant portion of Internet traffic, and pays attention to the change of users’ perception with the adjustment of objective
factors as well as network behaviors. We propose to use mean opinion score and peak signal to noise ratio
methods as QoE evaluations to consider the effect of the chunk loss ratio, the group-of-picture size, and the
chunk size. The experimental results provide a convincing reference to build the complete relationship
between objective factors and QoE. We believe that this assessment will contribute to study a new service
quality evaluation mechanism based on users’ satisfaction in the future.
ANALYTIC HIERARCHY PROCESS FOR QOS EVALUATION OF MOBILE DATA NETWORKSIJCNCJournal
The widespread demand for data applications over mobile networks requires that service providers guarantee a well-defined quality of service (QoS) for subscribers. Evaluating the QoS provided by service providers within a geographical area to determine which network provides the best QoS is a challenging task. The complex nature of mobile networks with multi-criteria and conflicting factors makes good decision making difficult. This paper presents a measurement-based method called Analytic Hierarchy Process (AHP) for evaluating QoS in application-specific and user-centric data on 3G mobile networks. The evaluation problem is formulated as a multi-criteria decision problem. Latency, jitter, data loss, and throughput are the parameters collected as criteria in drive testing over the mobile network. Decision matrix is applied to solve the problem by reaching a final ranking of the network based on the collected measured values of the problem parameters. A case study of 3G mobile networks in Uyo metropolis is used to show how this approach can be effective in ranking the QoS in data applications to determine which network provides the best QoS based on users’ perception of quality. The implemented results in Java indicate that Etisalat network is the alternative that offers the best QoS for web browsing application based on measured criteria. This is followed by Airtel and then MTN, while Glo is ranked least. The result provides useful information to decision makers for performance improvement on service quality.
Application-Based QoS Evaluation of Heterogeneous Networks csandit
Heterogeneous wireless networks expand the network capacity and coverage by leveraging the
network architecture and resources in a dynamic fashion. However, the presence of different
communication technologies makes the Quality of Service (QoS) evaluation, management, and
monitoring of these networks very challenging. Each communication technology has its own
characteristics while the applications that utilize them have their specific QoS requirements.
Although, the communication technologies have different performance assessment parameters,
the applications using these radio access networks have the same QoS requirements. As a
result, it would be easier to evaluate the QoS of the access networks and the overall network
configuration depending on the performance of applications running on them. Using such
application-based QoS evaluation approach, the heterogeneous nature of the underlying
networks and the diversity of their traffic can be adequately taken into account. In this paper,
we propose an application-based QoS evaluation approach for heterogeneous networks.
Through simulation studies, we show that this assessment approach facilitates better QoS
management and monitoring of heterogeneous network configurations.
APPLICATION-BASED QOS EVALUATION OF HETEROGENEOUS NETWORKS cscpconf
Heterogeneous wireless networks expand the network capacity and coverage by leveraging the network architecture and resources in a dynamic fashion. However, the presence of different communication technologies makes the Quality of Service (QoS) evaluation, management, and monitoring of these networks very challenging. Each communication technology has its own characteristics while the applications that utilize them have their specific QoS requirements. Although, the communication technologies have different performance assessment parameters, the applications using these radio access networks have the same QoS requirements. As a result, it would be easier to evaluate the QoS of the access networks and the overall network configuration depending on the performance of applications running on them. Using such application-based QoS evaluation approach, the heterogeneous nature of the underlying networks and the diversity of their traffic can be adequately taken into account. In this paper, we propose an application-based QoS evaluation approach for heterogeneous networks. Through simulation studies, we show that this assessment approach facilitates better QoS management and monitoring of heterogeneous network configurations.
CHARACTERIZATION OF USER-PERCEIVED QUALITY OF SERVICE (QOS) IN MOBILE DEVICES...ijwmn
This paper presents a user-centric and application-specific QoS assessment methodology for cellular
communication networks. Specifically, it uses the Analytic Hierarchy Process (AHP) to evaluate QoS as a
multi-criteria decision problem that represents how well cellular networks’ data services are perceived
given particular sets of application classes and relative to other networks servicing in the same area. As
part of the methodology, drive testing is performed to collect objective measurements associated with
identified QoS criteria for data services. Once drive testing is performed and data collected, multiple
networks are compared to determine the network that provides higher QoS based on users’ perception of
quality. The selection of the best performing network is based on the output provided by the AHP
approach, which is used as unified measurement of the perceived QoS by users on different networks. In
order to determine application-specific priorities, the approach presented uses three different application
classes, including Emergency, Business, and Personal. For each class, the relative importance of each
quality evaluation criteria is adjusted in the AHP procedure to reflect the priorities of the services
expected. Through several case studies, the approach is proven successful in providing a way for
analyzing user-centric QoS for application-specific scenarios.
SURVEY ON QOE\QOS CORRELATION MODELS FORMULTIMEDIA SERVICESijdpsjournal
This paper presents a brief review of some existing correlation models which attempt to map Quality of
Service (QoS) to Quality of Experience (QoE) for multimedia services. The term QoS refers to deterministic
network behaviour, so that data can be transported with a minimum of packet loss, delay and maximum
bandwidth. QoE is a subjective measure that involves human dimensions; it ties together user perception,
expectations, and experience of the application and network performance. The Holy Grail of subjective
measurement is to predict it from the objective measurements; in other words predict QoE from a given set
of QoS parameters or vice versa. Whilst there are many quality models for multimedia, most of them are
only partial solutions to predicting QoE from a given QoS. This contribution analyses a number of previous
attempts and optimisation techniquesthat can reliably compute the weighting coefficients for the QoS/QoE
mapping.
In this paper, an application-based QoS evaluation approach for heterogeneous networks is proposed.It is possible to expand the network capacity and coverage in a dynamic fashion by applying heterogeneous wireless network architecture. However, the Quality of Service (QoS) evaluation of this type of network architecture is very challenging due to the presence of different communication technologies. Different communication technologies have different characteristics and the applications that utilize them have unique QoS requirements. Although, the communication technologies have different performance measurement parameters, the applications using these radio access networks have the same QoS requirements. As a result, it would be easier to evaluate the QoS of the access networks and the overall network configuration based on the performance of applications running on them. Using such applicationbased QoS evaluation approach, the heterogeneous nature of the underlying networks and the diversity of their traffic can be adequately taken into account. Through simulation studies, we show that the application performance based assessment approach facilitates better QoS management and monitoring of heterogeneous network configurations.
Correlating objective factors with videoIJCNCJournal
To succeed in providing services, the quality of services should meet users’ satisfaction. This is a motivation to study the relationship between the service quality and the real perceived quality of users, which is commonly referred to as the quality of experience (QoE). However, most of existing QoE studies that focus on video-on-demand or IPTV services analyze only the influence of network behaviors to video quality. This paper focuses on P2P video streaming services, which are becoming a significant portion of Internet traffic, and pays attention to the change of users’ perception with the adjustment of objective
factors as well as network behaviors. We propose to use mean opinion score and peak signal to noise ratio
methods as QoE evaluations to consider the effect of the chunk loss ratio, the group-of-picture size, and the
chunk size. The experimental results provide a convincing reference to build the complete relationship
between objective factors and QoE. We believe that this assessment will contribute to study a new service
quality evaluation mechanism based on users’ satisfaction in the future.
ANALYTIC HIERARCHY PROCESS FOR QOS EVALUATION OF MOBILE DATA NETWORKSIJCNCJournal
The widespread demand for data applications over mobile networks requires that service providers guarantee a well-defined quality of service (QoS) for subscribers. Evaluating the QoS provided by service providers within a geographical area to determine which network provides the best QoS is a challenging task. The complex nature of mobile networks with multi-criteria and conflicting factors makes good decision making difficult. This paper presents a measurement-based method called Analytic Hierarchy Process (AHP) for evaluating QoS in application-specific and user-centric data on 3G mobile networks. The evaluation problem is formulated as a multi-criteria decision problem. Latency, jitter, data loss, and throughput are the parameters collected as criteria in drive testing over the mobile network. Decision matrix is applied to solve the problem by reaching a final ranking of the network based on the collected measured values of the problem parameters. A case study of 3G mobile networks in Uyo metropolis is used to show how this approach can be effective in ranking the QoS in data applications to determine which network provides the best QoS based on users’ perception of quality. The implemented results in Java indicate that Etisalat network is the alternative that offers the best QoS for web browsing application based on measured criteria. This is followed by Airtel and then MTN, while Glo is ranked least. The result provides useful information to decision makers for performance improvement on service quality.
Wireless Networks Performance Monitoring Based on Passive-active Quality of S...IJCNCJournal
Monitoring of the performance of wireless network is of vital importance for both users and the service provider which should be accurate, simple and fast enough to reflect the network performance in a timely manner. The aim of this paper is to develop an approach which can infer the performance of wireless ad hoc networks based on Quality of service (QoS) parameters assessment. The developed method considers the QoS requirements of multimedia applications transmitted over these kind of networks. This approach is based on the ideas of combination of both active and passive measurement methods. This approach uses an in-service measurement method in which the QoS parameters of the actual application (user) are estimated by means of dedicated monitoring packets (probes). Afterwards, these parameters are combined to produce and assess the application’s overall QoS using the fuzzy logic assessment and based on the measured QoS parameters estimated using the probe traffic. The active scheme is used to generate monitoring probe packets which are inserted between blocks of target application packets at regular intervals. While the passive monitoring is utilized to act as a traffic meter which performs as a counter of user packets (and bytes) that belong to the application (user) traffic flow that is subjected to monitoring. After simulating the developed technique, it offered a good estimation for the delay, throughput, packet losses and the overall QoS when using different probe rates.
Enhancing qo s and qoe in ims enabled next generation networksgraphhoc
Managing network complexity, accommodating greater numbers of subscribers, improving coverage to support data services (e.g. email, video, and music downloads), keeping up to speed with fast-changing technology, and driving maximum value from existing networks – all while reducing CapEX and OpEX and ensuring Quality of Service (QoS) for the network and Quality of Experience (QoE) for the user. These are just some of the pressing business issues faced by mobileservice providers, summarized by the demand to “achieve more, for less.” The ultimate goal of optimization techniques at the network and application layer is to ensure End-user perceived QoS. The next generation networks (NGN), a composite environment of proven telecommunications and Internet-oriented mechanisms have become generally recognized as the telecommunications environment of the future. However, the nature of the NGN environment presents several complex issues regarding quality assurance that have not existed in the legacy environments (e.g., multi-network, multi-vendor, and multi-operator IP-based telecommunications environment, distributed intelligence, third-party provisioning, fixed-wireless and mobile access, etc.). In this Research Paper, a service aware policy-based approach to NGN quality assurance is presented, taking into account both perceptual quality of experience and technologydependant quality of service issues. The respective procedures, entities, mechanisms, and profiles are discussed. The purpose of the presented approach is in research, development, and discussion of pursuing the end-to-end controllability of the quality of the multimedia NGN-based communications in an environment that is best effort in its nature and promotes end user’s access agnosticism, service agility, and global mobility
Recently with the increasing development of distributed computer systems (DCSs) in networked
industrial and manufacturing applications on the World Wide Web (WWW) platform, including service-oriented
architecture and Web of Things QoS-aware systems, it has become important to predict the Web performance.
In this paper, we present Web performance prediction in time by making a forecast of a Web resource
downloading using the Efficient Turning Bands (TB) geostatistical simulation method. Real-life data for the
research were obtained from our own website named "Distributed forecasting system". Generation of log file
form website and performing monitoring of a group of Web clients from connected LAN. For better web
prediction we used spatio temporal prediction method with time utility for downloading particular file from
website and calculate forecasting result using Turning bands method but improving more forecasting
accuracy use the efficient turning band method basically efficient turning band use Naive bays algorithm and
calculate efficient result and that result is compared with Turning band and efficient turning band method.
The efficient turning band method result show good forecasting quality of Web performance prediction and
forecasting.
LIGHTWEIGHT MOBILE WEB SERVICE PROVISIONING FOR THE INTERNET OF THINGS MEDIATIONijujournal
Emerging sensor-embedded smartphones motivated the mobile Internet of Things research. With the integrated embedded hardware and software sensor components, and mobile network technologies, smartphones are capable of providing various environmental context information via embedded mobile device-hosted Web services (MWS). MWS enhances the capability of various mobile sensing applications such as mobile crowd sensing, real time mobile health monitoring, mobile social network in proximity and so on. Although recent smartphones are quite capable in terms of mobile data transmission speed and computation power, the frequent usage of high
performance multi-core mobile CPU and the high speed 3G/4G mobile Internet data transmission will quickly drain the battery power of the mobile device. Although numerous previous researchers have tried to overcome the resource intensive issues in mobile embedded service provisioning domain, most of the efforts were constrained because of the underlying resource intensive technologies. This paper presents a lightweight mobile Web service provisioning framework for mobile sensing which utilises the protocols that were designed for constrained Internet of Things environment. The prototype experimental results show that the proposed framework can provide higher throughput and less resource consumption than the traditional mobile Web service frameworks.
LIGHTWEIGHT MOBILE WEB SERVICE PROVISIONING FOR THE INTERNET OF THINGS MEDIATIONijujournal
Emerging sensor-embedded smartphones motivated the mobile Internet of Things research. With the
integrated embedded hardware and software sensor components, and mobile network technologies,
smartphones are capable of providing various environmental context information via embedded mobile
device-hosted Web services (MWS). MWS enhances the capability of various mobile sensing applications
such as mobile crowdsensing, real time mobile health monitoring, mobile social network in proximity and
so on. Although recent smartphones are quite capable in terms of mobile data transmission speed and
computation power, the frequent usage of high performance multi-core mobile CPU and the high speed
3G/4G mobile Internet data transmission will quickly drain the battery power of the mobile device.
Although numerous previous researchers have tried to overcome the resource intensive issues in mobile
embedded service provisioning domain, most of the efforts were constrained because of the underlying
resource intensive technologies. This paper presents a lightweight mobile Web service provisioning
framework for mobile sensing which utilises the protocols that were designed for constrained Internet of
Things environment. The prototype experimental results show that the proposed framework can provide
higher throughput and less resource consumption than the traditional mobile Web service frameworks.
Lightweight Mobile Web Service Provisioning for the Internet of Things Mediat...ijujournal
Emerging sensor-embedded smartphones motivated the mobile Internet of Things research. With the
integrated embedded hardware and software sensor components, and mobile network technologies,
smartphones are capable of providing various environmental context information via embedded mobile
device-hosted Web services (MWS). MWS enhances the capability of various mobile sensing applications
such as mobile crowdsensing, real time mobile health monitoring, mobile social network in proximity and
so on. Although recent smartphones are quite capable in terms of mobile data transmission speed and
computation power, the frequent usage of high performance multi-core mobile CPU and the high speed
3G/4G mobile Internet data transmission will quickly drain the battery power of the mobile device.
Although numerous previous researchers have tried to overcome the resource intensive issues in mobile
embedded service provisioning domain, most of the efforts were constrained because of the underlying
resource intensive technologies. This paper presents a lightweight mobile Web service provisioning
framework for mobile sensing which utilises the protocols that were designed for constrained Internet of
Things environment. The prototype experimental results show that the proposed framework can provide
higher throughput and less resource consumption than the traditional mobile Web service frameworks.
Energy-efficient data-aggregation for optimizing quality of service using mo...IJECEIAES
Quality of service (QoS) is essential for carrying out data transmission using resource-constrained sensor nodes in wireless sensor network (WSN). The introduction of mobile agent-based data aggregation is reported to offer energy efficiency; however, it has limitations, especially using a single mobile agent, where QoS optimization is not feasible. A review of existing studies showcases some dedicated attempts to use a mobile agent-based approach and address QoS enhancements. However, they were never combined studied. Therefore, this paper introduces a unique concept of retaining maximum QoS performance during data aggregation using a single mobile agent. The model introduces a unique communication framework, transmission provisioning using exceptional routine management, and simplified energy modeling. The proposed model has aimed for a lower delay and faster data aggregation speed with lower consumption of transmittance energy. The implementation and assessment of the model are carried out considering the challenging environment of WSN with multiple scales of data priority. The proposed model also contributes to evolving out with simplified communication vectors in a highly decentralized method. MATLAB's simulation outcome shows that the proposed system offers better delay performance, optimal energy management, and faster response time than existing schemes.
Thank You for referencing this work, if you find it useful!
Reference/Citation to a paper: Alexandre de Masi, Katarzyna Wac, MIQModel: Predictive Model for Mobile Internet, International Workshop on Traffic Monitoring and Analysis (TMA), PhD Poster Session, Brussels, Belgium, April 2016.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the
semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their
functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the
semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services. In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
Efficient P2P data dissemination in integrated optical and wireless networks ...TELKOMNIKA JOURNAL
The Quality of Service (QoS) resource consumption is always the tricky problem and also
the on-going issue in the access network of mobile wireless part because of its dynamic nature of network
wireless transmissions. It is very critical for the infrastructure-less wireless mobile ad hoc network that is
distributed while interconnects in a peer-to-peer manner. Toward resolve the problem, Taguchi method
optimization of mobile ad hoc routing (AODVUU) is applied in integrated optical and wireless networks
called the adLMMHOWAN. Practically, this technique was carry out using OMNeT++ software by building
a simulation based optimization through design of experiment. Its QoS network performance is examined
based on packet delivery ratio (PDR) metric and packet loss probabilities (PLP) metric that consider
the scenario of variation number of nodes. During the performing stage with random mobile connectivity
based on improvement in optimized front-end wireless domain of AODVUU routing, the result is performing
better when compared with previous study called the oRia scheme with the improvement of 14.1% PDR
and 43.3% PLP in this convergence of heterogeneous optical wireless network.
A trust evaluation scheme of service providers in mobile edge computingIJECEIAES
Mobile edge computing (MEC) is a new computing paradigm that brings cloud services to the network edge. Despite its great need in terms of computational services in daily life, service users may have several concerns while selecting a suitable service provider to fulfil their computational requirements. Such concerns are: with whom they are dealing with, where will their private data migrate to, service provider processing performance quality. Therefore, this paper presents a trust evaluation scheme that evaluates the processing performance of a service provider in the MEC environment. Processing performance of service providers is evaluated in terms of average processing success rate and processing throughput, thus allocating a service provider in a relevant trust status. Service provider processing incompliance and user termination ratio are also computed during provider’s interactions with users. This is in an attempt to help future service users to be acknowledged of service provider’s past interactions prior dealing with it. Thus, eliminating the probability of existing compromised service providers and raising the security and success of future interactions between service providers and users. Simulations results show service providers processing performance degree, processing incompliance and user termination ratio. A service provider is allocated to a trust status according to the evaluated processing performance trust degree.
Please provide answer, write program in Prolog for the following.docxcherry686017
Please provide answer, write program in Prolog for the following rules and facts.
RULES:
Use the rules on "When to Seek Medical Attention" from
carona virus
Watch for symptoms
People with COVID-19 have had a wide range of symptoms reported - ranging from mild symptoms to severe illness.
These symptoms may appear
2-14 days after exposure to the virus:
Fever
Cough
Shortness of breath or difficulty breathing
Chills
Repeated shaking with chills
Muscle pain
Headache
Sore throat
New loss of taste or smell
When to Seek Medical Attention
If you develop any of these
emergency warning signs*
for COVID-19 get
medical attention immediately:
Trouble breathing
Persistent pain or pressure in the chest
New confusion or inability to arouse
Bluish lips or face
*This list is not all inclusive. Please consult your medical provider for any other symptoms that are severe or concerning to you.
FACTS
John has Fever, Cough and Trouble breathing
Amanda has Fever, Cough and Sore throat
.
Please provide references for your original postings in APA form.docxcherry686017
Please provide references for your original postings in APA format. 300 Words with proper references.
What do you think is the best combination of the types of authentication? Is that type of authentication appropriate for all types of access?
Some have made the argument that using WEP presents more security issues than if all traffic were in the clear. What do you think?
.
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Wireless Networks Performance Monitoring Based on Passive-active Quality of S...IJCNCJournal
Monitoring of the performance of wireless network is of vital importance for both users and the service provider which should be accurate, simple and fast enough to reflect the network performance in a timely manner. The aim of this paper is to develop an approach which can infer the performance of wireless ad hoc networks based on Quality of service (QoS) parameters assessment. The developed method considers the QoS requirements of multimedia applications transmitted over these kind of networks. This approach is based on the ideas of combination of both active and passive measurement methods. This approach uses an in-service measurement method in which the QoS parameters of the actual application (user) are estimated by means of dedicated monitoring packets (probes). Afterwards, these parameters are combined to produce and assess the application’s overall QoS using the fuzzy logic assessment and based on the measured QoS parameters estimated using the probe traffic. The active scheme is used to generate monitoring probe packets which are inserted between blocks of target application packets at regular intervals. While the passive monitoring is utilized to act as a traffic meter which performs as a counter of user packets (and bytes) that belong to the application (user) traffic flow that is subjected to monitoring. After simulating the developed technique, it offered a good estimation for the delay, throughput, packet losses and the overall QoS when using different probe rates.
Enhancing qo s and qoe in ims enabled next generation networksgraphhoc
Managing network complexity, accommodating greater numbers of subscribers, improving coverage to support data services (e.g. email, video, and music downloads), keeping up to speed with fast-changing technology, and driving maximum value from existing networks – all while reducing CapEX and OpEX and ensuring Quality of Service (QoS) for the network and Quality of Experience (QoE) for the user. These are just some of the pressing business issues faced by mobileservice providers, summarized by the demand to “achieve more, for less.” The ultimate goal of optimization techniques at the network and application layer is to ensure End-user perceived QoS. The next generation networks (NGN), a composite environment of proven telecommunications and Internet-oriented mechanisms have become generally recognized as the telecommunications environment of the future. However, the nature of the NGN environment presents several complex issues regarding quality assurance that have not existed in the legacy environments (e.g., multi-network, multi-vendor, and multi-operator IP-based telecommunications environment, distributed intelligence, third-party provisioning, fixed-wireless and mobile access, etc.). In this Research Paper, a service aware policy-based approach to NGN quality assurance is presented, taking into account both perceptual quality of experience and technologydependant quality of service issues. The respective procedures, entities, mechanisms, and profiles are discussed. The purpose of the presented approach is in research, development, and discussion of pursuing the end-to-end controllability of the quality of the multimedia NGN-based communications in an environment that is best effort in its nature and promotes end user’s access agnosticism, service agility, and global mobility
Recently with the increasing development of distributed computer systems (DCSs) in networked
industrial and manufacturing applications on the World Wide Web (WWW) platform, including service-oriented
architecture and Web of Things QoS-aware systems, it has become important to predict the Web performance.
In this paper, we present Web performance prediction in time by making a forecast of a Web resource
downloading using the Efficient Turning Bands (TB) geostatistical simulation method. Real-life data for the
research were obtained from our own website named "Distributed forecasting system". Generation of log file
form website and performing monitoring of a group of Web clients from connected LAN. For better web
prediction we used spatio temporal prediction method with time utility for downloading particular file from
website and calculate forecasting result using Turning bands method but improving more forecasting
accuracy use the efficient turning band method basically efficient turning band use Naive bays algorithm and
calculate efficient result and that result is compared with Turning band and efficient turning band method.
The efficient turning band method result show good forecasting quality of Web performance prediction and
forecasting.
LIGHTWEIGHT MOBILE WEB SERVICE PROVISIONING FOR THE INTERNET OF THINGS MEDIATIONijujournal
Emerging sensor-embedded smartphones motivated the mobile Internet of Things research. With the integrated embedded hardware and software sensor components, and mobile network technologies, smartphones are capable of providing various environmental context information via embedded mobile device-hosted Web services (MWS). MWS enhances the capability of various mobile sensing applications such as mobile crowd sensing, real time mobile health monitoring, mobile social network in proximity and so on. Although recent smartphones are quite capable in terms of mobile data transmission speed and computation power, the frequent usage of high
performance multi-core mobile CPU and the high speed 3G/4G mobile Internet data transmission will quickly drain the battery power of the mobile device. Although numerous previous researchers have tried to overcome the resource intensive issues in mobile embedded service provisioning domain, most of the efforts were constrained because of the underlying resource intensive technologies. This paper presents a lightweight mobile Web service provisioning framework for mobile sensing which utilises the protocols that were designed for constrained Internet of Things environment. The prototype experimental results show that the proposed framework can provide higher throughput and less resource consumption than the traditional mobile Web service frameworks.
LIGHTWEIGHT MOBILE WEB SERVICE PROVISIONING FOR THE INTERNET OF THINGS MEDIATIONijujournal
Emerging sensor-embedded smartphones motivated the mobile Internet of Things research. With the
integrated embedded hardware and software sensor components, and mobile network technologies,
smartphones are capable of providing various environmental context information via embedded mobile
device-hosted Web services (MWS). MWS enhances the capability of various mobile sensing applications
such as mobile crowdsensing, real time mobile health monitoring, mobile social network in proximity and
so on. Although recent smartphones are quite capable in terms of mobile data transmission speed and
computation power, the frequent usage of high performance multi-core mobile CPU and the high speed
3G/4G mobile Internet data transmission will quickly drain the battery power of the mobile device.
Although numerous previous researchers have tried to overcome the resource intensive issues in mobile
embedded service provisioning domain, most of the efforts were constrained because of the underlying
resource intensive technologies. This paper presents a lightweight mobile Web service provisioning
framework for mobile sensing which utilises the protocols that were designed for constrained Internet of
Things environment. The prototype experimental results show that the proposed framework can provide
higher throughput and less resource consumption than the traditional mobile Web service frameworks.
Lightweight Mobile Web Service Provisioning for the Internet of Things Mediat...ijujournal
Emerging sensor-embedded smartphones motivated the mobile Internet of Things research. With the
integrated embedded hardware and software sensor components, and mobile network technologies,
smartphones are capable of providing various environmental context information via embedded mobile
device-hosted Web services (MWS). MWS enhances the capability of various mobile sensing applications
such as mobile crowdsensing, real time mobile health monitoring, mobile social network in proximity and
so on. Although recent smartphones are quite capable in terms of mobile data transmission speed and
computation power, the frequent usage of high performance multi-core mobile CPU and the high speed
3G/4G mobile Internet data transmission will quickly drain the battery power of the mobile device.
Although numerous previous researchers have tried to overcome the resource intensive issues in mobile
embedded service provisioning domain, most of the efforts were constrained because of the underlying
resource intensive technologies. This paper presents a lightweight mobile Web service provisioning
framework for mobile sensing which utilises the protocols that were designed for constrained Internet of
Things environment. The prototype experimental results show that the proposed framework can provide
higher throughput and less resource consumption than the traditional mobile Web service frameworks.
Energy-efficient data-aggregation for optimizing quality of service using mo...IJECEIAES
Quality of service (QoS) is essential for carrying out data transmission using resource-constrained sensor nodes in wireless sensor network (WSN). The introduction of mobile agent-based data aggregation is reported to offer energy efficiency; however, it has limitations, especially using a single mobile agent, where QoS optimization is not feasible. A review of existing studies showcases some dedicated attempts to use a mobile agent-based approach and address QoS enhancements. However, they were never combined studied. Therefore, this paper introduces a unique concept of retaining maximum QoS performance during data aggregation using a single mobile agent. The model introduces a unique communication framework, transmission provisioning using exceptional routine management, and simplified energy modeling. The proposed model has aimed for a lower delay and faster data aggregation speed with lower consumption of transmittance energy. The implementation and assessment of the model are carried out considering the challenging environment of WSN with multiple scales of data priority. The proposed model also contributes to evolving out with simplified communication vectors in a highly decentralized method. MATLAB's simulation outcome shows that the proposed system offers better delay performance, optimal energy management, and faster response time than existing schemes.
Thank You for referencing this work, if you find it useful!
Reference/Citation to a paper: Alexandre de Masi, Katarzyna Wac, MIQModel: Predictive Model for Mobile Internet, International Workshop on Traffic Monitoring and Analysis (TMA), PhD Poster Session, Brussels, Belgium, April 2016.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the
semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their
functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services.
In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
WEB SERVICE SELECTION BASED ON RANKING OF QOS USING ASSOCIATIVE CLASSIFICATIONijwscjournal
With the explosive growth of the number of services published over the Internet, it is difficult to select satisfactory web services among the candidate web services which provide similar functionalities. Quality of Service (QoS) is considered as the most important non-functional criterion for service selection. But this criterion is no longer considered as the only criterion to rank web services, satisfying user’s preferences. The similarity measure (outputs–inputs similarity) between concepts based on ontology in an interconnected network of semantic Web services involved in a composition can be used as a distinguishing criterion to estimate the semantic quality of selected services for the composite service. Coupling the
semantic similarity as the functional aspect and quality of services allows us to further constrain and select services for the valid composite services. In this paper, we present an overall service selection and ranking framework which firstly classify candidate web services to different QoS levels respect to user’s QoS requirements and preferences with an Associative Classification algorithm and then rank the most qualified candidate services based on their functional quality through semantic matching. The experimental results show that proposed framework can satisfy service requesters’ non-functional requirements.
Efficient P2P data dissemination in integrated optical and wireless networks ...TELKOMNIKA JOURNAL
The Quality of Service (QoS) resource consumption is always the tricky problem and also
the on-going issue in the access network of mobile wireless part because of its dynamic nature of network
wireless transmissions. It is very critical for the infrastructure-less wireless mobile ad hoc network that is
distributed while interconnects in a peer-to-peer manner. Toward resolve the problem, Taguchi method
optimization of mobile ad hoc routing (AODVUU) is applied in integrated optical and wireless networks
called the adLMMHOWAN. Practically, this technique was carry out using OMNeT++ software by building
a simulation based optimization through design of experiment. Its QoS network performance is examined
based on packet delivery ratio (PDR) metric and packet loss probabilities (PLP) metric that consider
the scenario of variation number of nodes. During the performing stage with random mobile connectivity
based on improvement in optimized front-end wireless domain of AODVUU routing, the result is performing
better when compared with previous study called the oRia scheme with the improvement of 14.1% PDR
and 43.3% PLP in this convergence of heterogeneous optical wireless network.
A trust evaluation scheme of service providers in mobile edge computingIJECEIAES
Mobile edge computing (MEC) is a new computing paradigm that brings cloud services to the network edge. Despite its great need in terms of computational services in daily life, service users may have several concerns while selecting a suitable service provider to fulfil their computational requirements. Such concerns are: with whom they are dealing with, where will their private data migrate to, service provider processing performance quality. Therefore, this paper presents a trust evaluation scheme that evaluates the processing performance of a service provider in the MEC environment. Processing performance of service providers is evaluated in terms of average processing success rate and processing throughput, thus allocating a service provider in a relevant trust status. Service provider processing incompliance and user termination ratio are also computed during provider’s interactions with users. This is in an attempt to help future service users to be acknowledged of service provider’s past interactions prior dealing with it. Thus, eliminating the probability of existing compromised service providers and raising the security and success of future interactions between service providers and users. Simulations results show service providers processing performance degree, processing incompliance and user termination ratio. A service provider is allocated to a trust status according to the evaluated processing performance trust degree.
Similar to The convergence of wireless networks and multimedia communicatio.docx (20)
Please provide answer, write program in Prolog for the following.docxcherry686017
Please provide answer, write program in Prolog for the following rules and facts.
RULES:
Use the rules on "When to Seek Medical Attention" from
carona virus
Watch for symptoms
People with COVID-19 have had a wide range of symptoms reported - ranging from mild symptoms to severe illness.
These symptoms may appear
2-14 days after exposure to the virus:
Fever
Cough
Shortness of breath or difficulty breathing
Chills
Repeated shaking with chills
Muscle pain
Headache
Sore throat
New loss of taste or smell
When to Seek Medical Attention
If you develop any of these
emergency warning signs*
for COVID-19 get
medical attention immediately:
Trouble breathing
Persistent pain or pressure in the chest
New confusion or inability to arouse
Bluish lips or face
*This list is not all inclusive. Please consult your medical provider for any other symptoms that are severe or concerning to you.
FACTS
John has Fever, Cough and Trouble breathing
Amanda has Fever, Cough and Sore throat
.
Please provide references for your original postings in APA form.docxcherry686017
Please provide references for your original postings in APA format. 300 Words with proper references.
What do you think is the best combination of the types of authentication? Is that type of authentication appropriate for all types of access?
Some have made the argument that using WEP presents more security issues than if all traffic were in the clear. What do you think?
.
Please provide reference in APARequired FormatTitle Page AP.docxcherry686017
Please provide reference in APA
Required Format:
Title Page APA Format
Introduction
Concept of Systems Thinking (
Level 1 APA Heading
)
Difference Between Systems Thinking and Silo Thinking
(Level 1 APA Heading)
Applying Systems Thinking in My Work Environment
(Level 1 APA Heading)
Conclusion
1. Explain and discuss the concept of systems thinking.
2. Explain and give an example of the difference between silo thinking and systems thinking
3. Provide one example of where you could apply systems thinking that would positively affect your current work environment.
.
Please post here your chosen topic and information about why y.docxcherry686017
Please post here your chosen topic and information about why you chose it. Note: it must be a NON-INFECTIOUS agent (with few exceptions and it cannot be what you chose for discussion 2), so it cannot be caused by an organism. Please review the syllabus for more details.
A reminder from the syllabus:
The disease or disorder should not be a common disease that has already addressed in our course. With rare exception, it should not be an infectious disease (caused by an infectious organism).
Common diseases should be AVOIDED, including coronary artery disease, Alzheimer's disease, arthritis, diabetes, AIDS, hypo- and hyper-thyroidism, hypertension, psoriasis, sleep apnea, Lyme’s Disease, sinusitis, allergic rhinitis, mononucleosis, asthma, urinary tract infections, many STDs (check with your instructor), irritable bowel disease, strep throat, MRSA, polio, tuberculosis, Lockjaw, anorexia nervosa, autism, Down syndrome, and many cancers (check with your instructor).
The information you present should include sufficient detail to demonstrate that you have completed some preliminary research and should present a clear rationale for your choice.
If you're struggling with ideas, think of something you or someone you know may be dealing with. Or perhaps take a look at webMD and see if you find something interesting. Or watch a medical show, like The Good Doctor.
Please change your Title of your discussion post to the name of the disease.
.
Please pick your favorite article from Ms Magazine and do a one.docxcherry686017
Please pick your favorite article from
Ms Magazine
and do a one page (double spaced) write up of how it relates to what you have learned so far in this class
( something under one of these topics: what women's studies \ What is sex ? what is Gender \ secrets of masculinity and Femininity \ theories about the construction of gender \ intersectionality)
.
Please provide discussion of the following1. Weyerhaeuser made .docxcherry686017
Please provide discussion of the following:
1. Weyerhaeuser made a one-year commitment to help their employees living in New Orleans who were victims of Katrina. What types of assistance was provided under this commitment and what impact did it have on the lives of those most affected?
2. Please research and provide an overview of a company that provided assistance to the one of our more recent, natural events.
.
Please provide a summary of the key learning from the chapter. The .docxcherry686017
Please provide a summary of the key learning from the chapter. The summary is expected to be a simple write up, can be free form, and should include:
Brief
description in written form of the concepts that you have learned form reading the chapter.
If you wish (but not mandatory) and
if applicable
, you can cite examples that may illustrate some of the concepts. Examples can be from your our work, academia, experience, other organizations, etc.
There is
No Need
to summarize any of the formulas, graphs, tables, workflows, etc.
Summary should be
concise
and should fit on
No More Than One Page
.
Summary can entered in Canvas, posted or emailed as a document file typed in Microsoft Word, Powerpoint, or any other media that you choose.
.
Please pay close attention to the highlighted areas Please answe.docxcherry686017
Please pay close attention to the highlighted areas
Please answer all questions that are highlighted in red
Please write two full and complete pages
Cite your sources
Please use more of your own words than other authors
The job of the Supreme Court is to apply the Constitution, not to make public policy. That means that if they're doing their job, the specific outcomes of the decision shouldn't be a factor in their decision. That's why, sometimes, bad guys go free because the police violated a rule that protects all of us in we're accused of wrongdoing. Free speech can also be troublesome. It sounds a lot better in theory than it sometimes turns out in practice.
Find a Supreme Court case called Elonis v. United States (Links to an external site.).
What can you say and not say on social media? Where does your freedom of speech end and become a specific threat to another person?
Read about the case and write a 2 - 5 page essay telling your reader what the case was about, what the court majority decided and why. If you were a Supreme Court Justice, what would your decision have been and why?
Submit in Word. Cite your sources.
Resources
The SCOTUS blog is always a great place to start: http://www.scotusblog.com/case-files/cases/elonis-v-united-states/ (Links to an external site.)
The Cornell Law School also: https://www.law.cornell.edu/supct/cert/13-983 (Links to an external site.)
As always, the New York Times is a great resource for Supreme Court cases: http://www.nytimes.com/2015/06/02/us/supreme-court-rules-in-anthony-elonis-online-threats-case.html (Links to an external site.)
.
Please pay attention to the topicZero Plagiarisfive referenc.docxcherry686017
Please pay attention to the topic
Zero Plagiaris
five references
Post
an explanation of whether psychotherapy has a biological basis. Explain how culture, religion, and socioeconomics might influence one’s perspective of the value of psychotherapy treatments. Support your rationale with evidence-based literature.
Wheeler, K. (Eds.). (2014).
Psychotherapy for the advanced practice psychiatric nurse: A how-to guide for evidence-based practice
(2nd ed.). New York, NY: Springer Publishing Company
.
PLEASE OPEN THE ATTACH MENTWhen a dietary supplement is consid.docxcherry686017
PLEASE OPEN THE ATTACH MENT
When a dietary supplement is considered food and when is it considered a drug? Describe in detail why and when someone would need to take a dietary supplement. Is monitoring your nutritional intake important? Why or Why not? Please provide examples in paragraph form. What is your perception of a healthy diet, why and what does it consist of?
.
Please make sure that it is your own work and not copy and paste. Wa.docxcherry686017
Please make sure that it is your own work and not copy and paste. Watch out for grammar errors and spelling errors. Use the APA format.
Book Refernce: Robbins, S. P., & Judge, T. A. (2019).
Organizational behavior
(18th ed.). New York, NY: Pearson.
How do you distinguish between attitudes and moods? What is one example that supports your position? As you address the question, you are to consider how outside sources might be used to support your position.
.
please no plagiarism, 5 pages and fallow the rubic Quantitat.docxcherry686017
please no plagiarism, 5 pages and fallow the rubic
Quantitative Research Design. Rigor and Validity in Quantitative Research.
Title Page: Title of article, journal information and your name and date
1 point
Your score
Abstract: Brief summary of article (1-2 paragraphs)
1 points
The Problem: (2 or 3 paragraphs)
Is the problem clearly stated?
Is the problem practically important?
What is the purpose of the study?
What is the hypothesis?
Are the key terms defined?
3 points
Review of Literature: (1 -2 paragraphs)
Are the cited sources pertinent to the study?
Is the review too broad or too narrow?
Are the references recent?
Is there any evidence of bias?
2 points
Design and Procedures: (3-4 paragraphs)
What research methodology was used?
Was it a replica study or an original study?
What measurement tools were used?
How were the procedures structures?
Was a pilot study conducted?
What are the variables?
How was sampling performed?
3 points
Data analysis and Presentation: (1 - 2 paragraphs)
2 points
How was data analyzed?
Did findings support the hypothesis and purpose?
Were weaknesses and problems discussed?
Conclusions and Implications: (2-3 paragraphs)
3 points
Are the conclusions of the study related to the original purpose?
Were the implications discussed?
Whom the results and conclusions will affect?
What recommendations were made at the conclusion?
What is your overall assessment of the study and the article?
Total
15 points
(100%)
Grade
.
Please make sure to follow the below.Please note that this is .docxcherry686017
Please make sure to follow the below.
Please note that this is a formal writing, all references (peer-reviewed) mostly must be cited appropriately within the text.
Clearly avoid plagiarism.
The paper should have a minimum of 10 pages, 1.5 spacing and Times New Roman font.
A minimum of 5 peer review references must be provided.
Reference style is APA.
.
Please make revision in the prospectus checklist assignment base.docxcherry686017
Please make revision in the prospectus checklist assignment based on my professor feedback. For now, she wants to only focus on (1) the problem statement, (2) the practice focus question, (3) the social change.
I’m also attaching a copy of the previous prospectus draft which the professor returned to me with her feedback. Also, I included an outline of the project in the file section (see attached file).
Include as many scholarly references (at least 10) as needed and cite often.
APA format required.
Due on Sunday 10/06/19 by 12pm America/New York time.
.
Please note research can NOT be on organization related to minors, i.docxcherry686017
Please note research can NOT be on organization related to minors, incarcerated individuals or mental health co morbidities. Research a selected local, national, or global nonprofit organization or government agency to determine how it contributes to public health and safety improvements, promotes equal opportunity, and improves the quality of life within the community. Submit your findings in a 3-5 page report.
As you begin to prepare this assessment, it would be an excellent choice to complete the Nonprofit Organizations and Community Health activity. Complete this activity to gain insight into promoting equal opportunity and improving the quality of life in a community. The information gained from completing this activity will help you succeed with the assessment.
Professional Context
Many organizations work to better local and global communities' quality of life and promote health and safety in times of crisis. As public health and safety advocates, nurses must be cognizant of how such organizations help certain populations. As change agents, nurses must be aware of factors that impact the organization and the services that it offers. Familiarity with these organizations enables the nurse to offer assistance as a volunteer and source of referral.
This assessment provides an opportunity for you gain insight into the mission, vision, and operations of a community services organization of interest.
Demonstration of Proficiency
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:
Competency 1: Analyze health risks and health care needs among distinct populations.
Explain how an organization’s work impacts the health and/or safety needs of a local community.
Competency 2: Propose health promotion strategies to improve the health of populations.
Explain how an organization’s mission and vision enable it to contribute to public health and safety improvements.
Competency 3: Evaluate health policies, based on their ability to achieve desired outcomes.
Assess the impact of funding sources, policy, and legislation on an organization’s provision of services.
Competency 4: Integrate principles of social justice in community health interventions.
Evaluate an organization’s ability to promote equal opportunity and improve the quality of life within a community.
Competency 5: Apply professional, scholarly communication strategies to lead health promotion and improve population health.
Write clearly and concisely in a logically coherent and appropriate form and style.
Note:
Complete the assessments in this course in the order in which they are presented.
Preparation
Assume you are interested in expanding your role as a nurse and are considering working in an area where you can help to promote equal opportunity and improve the quality of life within the local or global community. You are aware of the work .
please no plagiarism our class uses Turnitin You are expected to pr.docxcherry686017
please no plagiarism our class uses Turnitin You are expected to provide supporting details for your responses; that support may come from the points covered in the readings and additional external research all source must be cited and listed (
appropriately cited
) in APA
.
Please know that the score is just a ball-park and d.docxcherry686017
Please know that the score is just a ball-park and doesn't represent a grade that would be equivalent to a final paper. I suggest reviewing this as well as the prompt / student samples again.
Hi, this has potential -- the evidence is apparent. Remember this is
Summary, not….lists, and it must be clear where the evidence is from via source attribution.
company name / job -- title?
source?
I have not idea where this evidence is from
oh, boy - -this is way off. making a list is not part of the assignment / summary is with source attribution
I don't mind a table or chart but where is it from and what is the purpose of it.
I'm not seeing a government source
Field Research Project
ORIGINALITY REPORT
12%
SIMILARITY INDEX
5%
INTERNET SOURCES
0%
PUBLICATIONS
9%
STUDENT PAPERS
PRIMARY SOURCES
(
1
) (
3
)Submitted to Florida International University
Student Paper %
www.l3harris.com
(
2
) (
3
) (
3
) (
2
%
)Internet Source %
Submitted to Embry Riddle Aeronautical University
(
1
)Student Paper
Submitted to Florida Institute of Technology
(
4
)Student Paper %
www.electricalengineer.com
(
5
) (
1
)Internet Source %
www.wsj.com
(
6
) (
7
) (
1
) (
1
%
)Internet Source %
Submitted to Southern State Community College
Student Paper
Exclude quotes On Exclude bibliography On
Exclude matches < 5 words
Field Research Project
GRADEMARK REPORT
FINAL GRADE
8/10
GENERAL COMMENTS
Instructor
PAGE 1
Text Comment. Please know that the score is just a ball-park and doesn't represent a grade that would be equivalent to a final paper. I suggest reviewing this as well as the prompt / student examples again.
Text Comment. Eisa, this has potential -- the evidence is apparent. Remember this is summary, not...lists, and it must be clear where the evidence is from via source attribution.
PAGE 2
Text Comment. company name / job -- title?
Text Comment. source?
Text Comment. I have not idea where this evidence is from
Text Comment. oh, boy - -this is way off. making a list is not part of the assignment / summary is with source attribution
PAGE 3
Text Comment. I don't mind a table or chart but where is it from and what is the purpose of it.
PAGE 4
PAGE 5
PAGE 6
Text Comment. I'm not seeing a government source
PAGE 7
RUBRIC: 305 REVISED RESEARCH
RESEARCH (30%)
0 / 100
0 / 100
Level of sources' quality, relevance & usefulness in helping to target future resume, and cover letter or graduate school statement.
AMAZING (100)
EXCELLENT (95)
PRETTY GOOD (90)
GOOD (85)
BETTER THAN ADEQUATE (80)
ADEQUATE (75)
MUCH REVISION NEEDED
(70)
INADEQUATE (65)
NO PASSION (60)
DOCUMENTATION (30%) 0 / 100
Level of proficiency in providing accurate & consistent quote and reference attribution, both within written text and in source listing at end.
AMAZING (100)
EXCELLENT (95)
PRETTY GOOD (90)
GOOD (85)
BETTER THAN ADEQUATE
(80)
ADEQUATE (75)
MUCH REV.
Please note that the Reflections must have 1. MLA format-.docxcherry686017
Please note that the Reflections must have:
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2. Single spaced the entire assignment or page
3. One page only
4. Times New Roman, font 12
5. Quotations with page numbers
6. Point and Explanations do not have the author's name in it.
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Please make sure you talk about the following (IMO)internati.docxcherry686017
Please make sure you talk about the following
* (IMO)international maritime law institute
* historical background
* Concept of Maritime law
*The principle provision of modern law
* Territorial seas
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
The convergence of wireless networks and multimedia communicatio.docx
1. The convergence of wireless networks and multimedia
communications, linked to the swift development of services
and the increasing competition, has caused user expectations of
network quality to rise. Network quality has become one of the
main targets for the network optimization and maintenance
departments.
Traditionally, network measurements such as accessibility,
maintainability, and quality were enough to evaluate the user
experience of voice services [1]. However, for data services, the
correlation between network measurements and user benefits is
not as straightforward. Firstly, the data system, due to the use
of packet switching, is affected by the performance of
individual nodes and protocols through which information
travels, and, secondly, radio resources are now shared among
different applications. Under these conditions, the performance
evaluation of data services is usually carried out by monitoring
terminals on the real network.
The end-to-end quality experienced by an end user results from
a combination of elements throughout the protocol stack and
system components. Thus, the performance evaluation of the
service requires a detailed performance analysis of the entire
network (from the user equipment up to the application server
or remote user equipment).
Quality of experience (QoE) is a subjective measurement of the
quality experienced by a user when he uses a telecommunication
service. The aim pursued when assessing the quality of service
(QoS) may be the desire to optimize the operation of the
network from a perspective purely based on objective
parameters, or the more recent need of determining the quality
that the user is actually achieving, as well as its satisfaction
2. level. However, the QoE goes further and takes into account the
satisfaction a user receives in terms of both content and use of
applications. In this sense, the introduction of smartphones has
been a quantitative leap in user QoE expectations.
Traditionally, QoE has been evaluated through subjective tests
carried out on the users in order to assess their satisfaction
degree with a mean opinion score (MOS) value. This type of
approach is obviously quite expensive, as well as annoying to
the user. Additionally, this method cannot be used for making
decisions to improve the QoE on the move. That is why in
recent years new methods have been proposed to estimate the
QoE based on certain performance indicators associated with
services. A possible solution to evaluate instantaneously the
QoE is to integrate QoE analysers in the mobile terminal itself
[2]. If mobile terminals are able to report the measurements to a
central server, the
QoE assessment process is simplified significantly. Other
solutions are focused on including new network elements (e.g.,
network analysers, deep packet inspectors, etc.) that are
responsible for capturing the traffic from a certain service and
analysing its performance [3]. For instance, the work presented
in [4] investigates the problem of YouTube quality monitoring
from an access provider’s perspective, concluding that it is
possible to detect application-level stalling events by using
network-level passive probing only. In other work, the
evaluation of video-streaming quality in mobile terminals is
addressed by monitoring objective parameters like packet loss
rate or jitter [5].
However, whatever solution intended to estimate the QoE from
traffic measurements requires some kind of mapping towards a
QoE value. A possible solution to perform this process is to
apply a utility function associated to the particular data service
in order to map the application level quality of service (QoS)
into QoE (in terms of MOS value). Many research works are
3. focused in that direction. For instance, a generic formula that
connects QoE and QoS parameters (for different packet data
services) is proposed in [6]. The work presented in [7]
addresses the perception principles and discusses their
applicability towards fundamental relationships between waiting
times and QoE for web services.
Other work quantifies the impact of initial delays on the user-
perceived QoE for different application scenarios by means of
subjective laboratory and crowd-sourcing studies
[8]. Subjective experiments drawing on the evaluation of
objective and subjective QoE aspects by a user panel for
quantifying QoE during mobile video are presented in [9,10].
Previous mentioned studies are mainly focused on QoS and/or
QoE evaluation, but no action, procedure, or framework is
proposed to enhance the end user quality. Only a few works
tackle this issue; for instance, a QoE oriented scheduling
algorithm is proposed in [11] to dynamically prioritize YouTube
users against other users if a QoE degradation is imminent
(based on the buffered playtime of the YouTube video player).
Other research work provides a methodology for incorporating
QoE into a network’s radio resource management (RRM)
mechanism by exploiting network utility maximization theory
[12]. In [13], a specification and testbed implementation of an
application-based QoE controller are presented, proposing a
solution for QoE control in next generation networks although
they do not include any QoE modelling or estimation algorithm.
References
[1] G. Gomez and R. Sanchez, End-To-End Quality of Service
Over
Cellular Networks: Data Services Performance Optimization in
2G/3G, John Wiley & Sons, 2005.
[2] A. Díaz, P. Merino, and F. J. Rivas, “Customer-centric
measurements
4. on mobile phones,” in Proceedings on 12th IEEE International
Symposium on Consumer Electronics (ICSE ’08), pp. 14–16,
2008.[3] J. K. Pathak, S. Krishnamurthy, and R. Govindarajan,
“System,method, and apparatus for measuring application
performance
management,” Patent number: WO03007115, 2003.
[4] R. Schatz, T. Hossfeld, and P. Casas, “Passive youtube QoE
monitoring for ISPs,” in Proceedings of the 6th International
Conference on Innovative Mobile and Internet Services in
Ubiquitous
Computing (IMIS ’12), pp. 358–364, July 2012.
[5] I. Ketykó, K. De Moor, W. Joseph, L. Martens, and L. De
Marez,
“Performing QoE-measurements in an actual 3G network,” in
Proceedings of the IEEE International Symposium on
Broadband
Multimedia Systems and Broadcasting (BMSB ’10), pp. 1–6,
March 2010.
[6] M. Fiedler, T. Hossfeld, and P. Tran-Gia, “A generic
quantitative
relationship between quality of experience and quality of
service,” IEEE Network, vol. 24, no. 2, pp. 36–41, 2010.
[7] S. Egger, T. Hossfeld, R. Schatz, and M. Fiedler, “Waiting
times
in quality of experience for web based services,” in Proceedings
of the 4th International Workshop on Quality of Multimedia
Experience (QoMEX ’12), pp. 86–96, July 2012.
[8] T. Hossfeld, S. Egger, R. Schatz, M. Fiedler, K. Masuch,
and
C. Lorentzen, “Initial delay vs. interruptions: between the devil
and the deep blue sea,” in Proceedings of the 4th International
Workshop on Quality of Multimedia Experience (QoMEX), pp.
1–6, July 2012.
[9] T. De Pessemier, K. De Moor, A. Juan, W. Joseph, L. De
Marez, and L. Martens, “Quantifying QoE of mobile video
5. consumption in a real-life setting drawing on objective and
subjective parameters,” in Proceedings of the IEEE
International
Symposium on Broadband Multimedia Systems and
Broadcasting
(BMSB ’11), pp. 1–6, June 2011.
[10] T. De Pessemier, K. De Moor, W. Joseph, L. De Marez,
and
L. Martens, “Quantifying the in�uence of rebuffering
interruptions
on the user’s quality of experience during mobile video
watching,” IEEE Transactions on Broadcasting, no. 99, pp. 1–5,
2013.
[11] F. Wamser, D. Staehle, J. Prokopec, A. Maeder, and P.
Tran-
Gia, “Utilizing buffered YouTube playtime for QoE-oriented
scheduling in OFDMA networks,” in Proceedings of the 24th
International Teletraffic Congress (ITC 24’ 12), pp. 1–8,
September
2012.
[12] G. Aristomenopoulos, T. Kastrinogiannis, V. Kaldanis, G.
Karantonis, and S. Papavassiliou, “A novel framework for
dynamic utility-based QoE provisioning in wireless networks,”
in Proceedings of the IEEE Global Telecommunications
Conference
(GLOBECOM ’10), pp. 1–6, 2010.
[13] J. Sterle, M. Volk, U. Sedlar, J. Bester, and A. Kos,
“Applicationbased
NGN QoE controller,” IEEE Communications Magazine,
vol. 49, no. 1, pp. 92–101, 2011.
![The convergence of wireless networks and multimedia
communications, linked to the swift development of services
and the increasing competition, has caused user expectations of
network quality to rise. Network quality has become one of the
main targets for the network optimization and maintenance
departments.
Traditionally, network measurements such as accessibility,
maintainability, and quality were enough to evaluate the user
experience of voice services [1]. However, for data services, the
correlation between network measurements and user benefits is
not as straightforward. Firstly, the data system, due to the use
of packet switching, is affected by the performance of
individual nodes and protocols through which information
travels, and, secondly, radio resources are now shared among
different applications. Under these conditions, the performance
evaluation of data services is usually carried out by monitoring
terminals on the real network.
The end-to-end quality experienced by an end user results from
a combination of elements throughout the protocol stack and
system components. Thus, the performance evaluation of the
service requires a detailed performance analysis of the entire
network (from the user equipment up to the application server
or remote user equipment).
Quality of experience (QoE) is a subjective measurement of the
quality experienced by a user when he uses a telecommunication
service. The aim pursued when assessing the quality of service
(QoS) may be the desire to optimize the operation of the
network from a perspective purely based on objective
parameters, or the more recent need of determining the quality
that the user is actually achieving, as well as its satisfaction](https://image.slidesharecdn.com/theconvergenceofwirelessnetworksandmultimediacommunicatio-221031043159-a0baa9bf/85/The-convergence-of-wireless-networks-and-multimedia-communicatio-docx-1-320.jpg)
![level. However, the QoE goes further and takes into account the
satisfaction a user receives in terms of both content and use of
applications. In this sense, the introduction of smartphones has
been a quantitative leap in user QoE expectations.
Traditionally, QoE has been evaluated through subjective tests
carried out on the users in order to assess their satisfaction
degree with a mean opinion score (MOS) value. This type of
approach is obviously quite expensive, as well as annoying to
the user. Additionally, this method cannot be used for making
decisions to improve the QoE on the move. That is why in
recent years new methods have been proposed to estimate the
QoE based on certain performance indicators associated with
services. A possible solution to evaluate instantaneously the
QoE is to integrate QoE analysers in the mobile terminal itself
[2]. If mobile terminals are able to report the measurements to a
central server, the
QoE assessment process is simplified significantly. Other
solutions are focused on including new network elements (e.g.,
network analysers, deep packet inspectors, etc.) that are
responsible for capturing the traffic from a certain service and
analysing its performance [3]. For instance, the work presented
in [4] investigates the problem of YouTube quality monitoring
from an access provider’s perspective, concluding that it is
possible to detect application-level stalling events by using
network-level passive probing only. In other work, the
evaluation of video-streaming quality in mobile terminals is
addressed by monitoring objective parameters like packet loss
rate or jitter [5].
However, whatever solution intended to estimate the QoE from
traffic measurements requires some kind of mapping towards a
QoE value. A possible solution to perform this process is to
apply a utility function associated to the particular data service
in order to map the application level quality of service (QoS)
into QoE (in terms of MOS value). Many research works are](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)