Properly designing and managing a computer network is a difficult task that requires planning, analysis, capacity planning, and skills to keep up with changing technology. Network design follows a systematic process called the Systems Development Life Cycle (SDLC) which includes planning, analysis, design, implementation, and maintenance phases. Network models and diagrams are created to demonstrate the current and planned network configuration. Capacity planning determines necessary network bandwidth by analyzing current usage and projecting future needs. Baseline studies measure current network performance to determine future capacity requirements.
Multilevel Hybrid Cognitive Load Balancing Algorithm for Private/Public Cloud...IDES Editor
Cloud computing is an emerging computing
paradigm. It aims to share data, resources and services
transparently among users of a massive grid. Although the
industry has started selling cloud-computing products,
research challenges in various areas, such as architectural
design, task decomposition, task distribution, load
distribution, load scheduling, task coordination, etc. are still
unclear. Therefore, we study the methods to reason and model
cloud computing as a step towards identifying fundamental
research questions in this paradigm. In this paper, we propose
a model for load distribution on cloud computing by modeling
them as cognitive systems and using aspects which not only
depend on the present state of the system, but also, on a set of
predefined transitions and conditions. The entirety of this
model is then bundled to cater the task of job distribution
using the concept of application metadata. Later, we draw a
qualitative and simulation based summarization for the
proposed model. We finally evaluate the results and draw up
a series of key conclusions in cloud computing for future
exploration.
Visualization of Computer Forensics Analysis on Digital EvidenceMuhd Mu'izuddin
- This is my first article, its for my Final Year Project for Bachelor's of Computer Science (Systems and Networking)
- It also will be uploaded into CyberSecurity Malaysia E-Bulletin for 2017
VIRTUAL MACHINE SCHEDULING IN CLOUD COMPUTING ENVIRONMENTijmpict
Cloud computing is an upcoming technology in dispersed computing facilitating paying for each model as
for each user demand and need. Cloud incorporates a set of virtual machine which comprises both storage
and computational facility. The fundamental goal of cloud computing is to offer effective access to isolated
and geographically circulated resources. Cloud is growing every day and experiences numerous problems
such as scheduling. Scheduling means a collection of policies to regulate the order of task to be executed
by a computer system. An excellent scheduler derives its scheduling plan in accordance with the type of
work and the varying environment. This research paper demonstrates a generalized precedence algorithm
for effective performance of work and contrast with Round Robin and FCFS Scheduling. Algorithm needs
to be tested within CloudSim toolkit and outcome illustrates that it provide good presentation compared
some customary scheduling algorithm.
A TALE of DATA PATTERN DISCOVERY IN PARALLELJenny Liu
In the era of IoTs and A.I., distributed and parallel computing is embracing big data driven and algorithm focused applications and services. With rapid progress and development on parallel frameworks, algorithms and accelerated computing capacities, it still remains challenging on deliver an efficient and scalable data analysis solution. This talk shares a research experience on data pattern discovery in domain applications. In particular, the research scrutinizes key factors in analysis workflow design and data parallelism improvement on cloud.
Multilevel Hybrid Cognitive Load Balancing Algorithm for Private/Public Cloud...IDES Editor
Cloud computing is an emerging computing
paradigm. It aims to share data, resources and services
transparently among users of a massive grid. Although the
industry has started selling cloud-computing products,
research challenges in various areas, such as architectural
design, task decomposition, task distribution, load
distribution, load scheduling, task coordination, etc. are still
unclear. Therefore, we study the methods to reason and model
cloud computing as a step towards identifying fundamental
research questions in this paradigm. In this paper, we propose
a model for load distribution on cloud computing by modeling
them as cognitive systems and using aspects which not only
depend on the present state of the system, but also, on a set of
predefined transitions and conditions. The entirety of this
model is then bundled to cater the task of job distribution
using the concept of application metadata. Later, we draw a
qualitative and simulation based summarization for the
proposed model. We finally evaluate the results and draw up
a series of key conclusions in cloud computing for future
exploration.
Visualization of Computer Forensics Analysis on Digital EvidenceMuhd Mu'izuddin
- This is my first article, its for my Final Year Project for Bachelor's of Computer Science (Systems and Networking)
- It also will be uploaded into CyberSecurity Malaysia E-Bulletin for 2017
VIRTUAL MACHINE SCHEDULING IN CLOUD COMPUTING ENVIRONMENTijmpict
Cloud computing is an upcoming technology in dispersed computing facilitating paying for each model as
for each user demand and need. Cloud incorporates a set of virtual machine which comprises both storage
and computational facility. The fundamental goal of cloud computing is to offer effective access to isolated
and geographically circulated resources. Cloud is growing every day and experiences numerous problems
such as scheduling. Scheduling means a collection of policies to regulate the order of task to be executed
by a computer system. An excellent scheduler derives its scheduling plan in accordance with the type of
work and the varying environment. This research paper demonstrates a generalized precedence algorithm
for effective performance of work and contrast with Round Robin and FCFS Scheduling. Algorithm needs
to be tested within CloudSim toolkit and outcome illustrates that it provide good presentation compared
some customary scheduling algorithm.
A TALE of DATA PATTERN DISCOVERY IN PARALLELJenny Liu
In the era of IoTs and A.I., distributed and parallel computing is embracing big data driven and algorithm focused applications and services. With rapid progress and development on parallel frameworks, algorithms and accelerated computing capacities, it still remains challenging on deliver an efficient and scalable data analysis solution. This talk shares a research experience on data pattern discovery in domain applications. In particular, the research scrutinizes key factors in analysis workflow design and data parallelism improvement on cloud.
Integration of a Predictive, Continuous Time Neural Network into Securities M...Chris Kirk, PhD, FIAP
This paper describes recent development and test implementation of a continuous time recurrent neural network that has been configured to predict rates of change in securities. It presents outcomes in the
context of popular technical analysis indicators and highlights the potential impact of continuous predictive capability on securities
market trading operations.
Implementation of digital image watermarking techniques using dwt and dwt svd...eSAT Journals
Abstract
These days, in every field there is gigantic utilization of computerized substance. Data took care of on web and mixed media system framework is in advanced structure. Computerized watermarking is only the innovation in which there is inserting of different data in advanced substance, which we need to shield from illicit replicating. Computerized picture watermarking is concealing data in any structure (content, picture, sound and video) in unique picture without corrupting its perceptual quality. On the off chance that of Discrete Wavelet Transform (DWT), deterioration of the first picture is completed to insert the watermark. Moreover, if there should arise an occurrence of cross breed system (DWT-SVD) firstly picture is decayed by and after that watermark is installed in solitary qualities acquired by application of Singular Value Decomposition (SVD). DWT and SVD are utilized in combination to enhance the nature of watermarking. We have the procedures which are looked at on the premise of Peak Signal to Noise Ratio (PSNR) esteem at various benefits of scaling component; high estimation of PSNR is coveted because it displays great intangibility of the strategy.
High performance intrusion detection using modified k mean & naïve bayeseSAT Journals
Abstract
Internet Technology is growing at exponential rate day by day, making data security of computer systems more complex and critical. There has been multiple methodology implemented for the same in recent time as detailed in [1], [3]. Availability of larger bandwidth has made the multiple large computer server network connected worldwide and thus increasing the load on the necessity to secure data and Intrusion detection system (IDS) is one of the most efficient technique to maintain security of computer system. The proposed system is designed in such a way that are helpful in identifying malicious behavior and improper use of computer system. In this report we proposed a hybrid technique for intrusion detection using data mining algorithms. Our main objective is to do complete analysis of intrusion detection Dataset to test the implemented system.In This report we will propose a new methodology in which Modified k-mean is used for clustering whereas Naïve Bayes for the classification. These two data mining techniques will be used for Intrusion detection in large horizontally distributed database.
Keywords: Intrusion Detection, Modified K-Mean, Naïve Bays
What Is AI: Foundations, History and State of the Art of AI.
Intelligent Agents: Agents and Environments, Nature of Environments, Structure of Agents.
Problem Solving by searching: Problem-Solving Agents, Example Problems,Searching for Solutions, Uninformed Search Strategies, Informed (Heuristic) Search Strategies, Heuristic Functions.
Learning from Examples: Forms of Learning, Supervised Learning, Learning Decision Trees, Evaluating and Choosing the Best Hypothesis, Theory of Learning, Regression and Classification with Linear Models, Artificial Neural Networks, Nonparametric Models, Support Vector Machines, Ensemble Learning, Practical Machine Learning
Learning probabilistic models: Statistical Learning, Learning with Complete Data, Learning with Hidden Variables: The EM Algorithm. Reinforcement learning: Passive Reinforcement Learning, Active Reinforcement Learning, Generalization in Reinforcement Learning, Policy Search, Applications of Reinforcement Learning.
Support Vector Machine–Based Prediction System for a Football Match Resultiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
An Investigation towards Effectiveness in Image Enhancement Process in MPSoC IJECEIAES
Image enhancement has a primitive role in the vision-based applications. It involves the processing of the input image by boosting its visualization for various applications. The primary objective is to filter the unwanted noises, clutters, sharpening or blur. The characteristics such as resolution and contrast are constructively altered to obtain an outcome of an enhanced image in the bio-medical field. The paper highlights the different techniques proposed for the digital enhancement of images. After surveying these methods that utilize Multiprocessor System-on-Chip (MPSoC), it is concluded that these methodologies have little accuracy and hence none of them are efficiently capable of enhancing the digital biomedical images.
Design and Implementation of Low Power DSP Core with Programmable Truncated V...ijsrd.com
The programmable truncated Vedic multiplication is the method which uses Vedic multiplier and programmable truncation control bits and which reduces part of the area and power required by multipliers by only computing the most-significant bits of the product. The basic process of truncation includes physical reduction of the partial product matrix and a compensation for the reduced bits via different hardware compensation sub circuits. These results in fixed systems optimized for a given application at design time. A novel approach to truncation is proposed, where a full precision vedic multiplier is implemented, but the active section of the truncation is selected by truncation control bits dynamically at run-time. Such architecture brings together the power reduction benefits from truncated multipliers and the flexibility of reconfigurable and general purpose devices. Efficient implementation of such a multiplier is presented in a custom digital signal processor where the concept of software compensation is introduced and analyzed for different applications. Experimental results and power measurements are studied, including power measurements from both post-synthesis simulations and a fabricated IC implementation. This is the first system-level DSP core using a high speed Vedic truncated multiplier. Results demonstrate the effectiveness of the programmable truncated MAC (PTMAC) in achieving power reduction, with minimum impact on functionality for a number of applications. On comparison with the previous parallel multipliers Vedic should be much more fast and area should be reduced. Programmable truncated Vedic multiplier (PTVM) should be the basic part implemented for the arithmetic and PTMAC units.
Short Term Load Forecasting Using Bootstrap Aggregating Based Ensemble Artifi...Kashif Mehmood
Short Term Load Forecasting (STLF) can predict load from several minutes to week plays
the vital role to address challenges such as optimal generation, economic scheduling, dispatching and
contingency analysis. This paper uses Multi-Layer Perceptron (MLP) Artificial Neural Network
(ANN) technique to perform STFL but long training time and convergence issues caused by bias,
variance and less generalization ability, unable this algorithm to accurately predict future loads. This
issue can be resolved by various methods of Bootstraps Aggregating (Bagging) (like disjoint
partitions, small bags, replica small bags and disjoint bags) which helps in reducing variance and
increasing generalization ability of ANN. Moreover, it results in reducing error in the learning process
of ANN. Disjoint partition proves to be the most accurate Bagging method and combining outputs of
this method by taking mean improves the overall performance. This method of combining several
predictors known as Ensemble Artificial Neural Network (EANN) outperform the ANN and Bagging
method by further increasing the generalization ability and STLF accuracy.
Machine Learning Data Life Cycle in Production (Week 2 feature engineering...Ajay Taneja
This is the Machine Learning Engineering in Production Course notes. This is the Week 2 of Machine Learning Data Life Cycle in Production (Course 2) course. This is the course 2 of MLOps specialization on coursera
FPGA based Efficient Interpolator design using DALUT Algorithmcscpconf
Interpolator is an important sampling device used for multirate filtering to provide signal processing in wireless communication system. There are many applications in which sampling rate must be changed. Interpolators and decimators are utilized to increase or decrease the sampling rate. In this paper an efficient method has been presented to implement high speed and area efficient interpolator for wireless communication systems. A multiplier less technique is used which substitutes multiplyand-accumulate operations with look up table (LUT) accesses. Interpolator has been implemented using Partitioned distributed arithmetic look up table (DALUT) technique. This technique has been used to take an optimal advantage of embedded LUTs of the target FPGA. This method is useful to enhance the system performance in terms of speed and area. The proposed interpolator has been designed using half band poly phase FIR structure with Matlab, simulated with ISE, synthesized with Xilinx Synthesis Tools (XST) and implemented on Spartan-3E and Virtex2pro device. The proposed LUT based multiplier less approach has shown a maximum operating frequency of 92.859 MHz with Virtex Pro and 61.6 MHz with Spartan 3E by consuming considerably less resources to provide cost effective solution for wireless communication systems.
Integration of a Predictive, Continuous Time Neural Network into Securities M...Chris Kirk, PhD, FIAP
This paper describes recent development and test implementation of a continuous time recurrent neural network that has been configured to predict rates of change in securities. It presents outcomes in the
context of popular technical analysis indicators and highlights the potential impact of continuous predictive capability on securities
market trading operations.
Implementation of digital image watermarking techniques using dwt and dwt svd...eSAT Journals
Abstract
These days, in every field there is gigantic utilization of computerized substance. Data took care of on web and mixed media system framework is in advanced structure. Computerized watermarking is only the innovation in which there is inserting of different data in advanced substance, which we need to shield from illicit replicating. Computerized picture watermarking is concealing data in any structure (content, picture, sound and video) in unique picture without corrupting its perceptual quality. On the off chance that of Discrete Wavelet Transform (DWT), deterioration of the first picture is completed to insert the watermark. Moreover, if there should arise an occurrence of cross breed system (DWT-SVD) firstly picture is decayed by and after that watermark is installed in solitary qualities acquired by application of Singular Value Decomposition (SVD). DWT and SVD are utilized in combination to enhance the nature of watermarking. We have the procedures which are looked at on the premise of Peak Signal to Noise Ratio (PSNR) esteem at various benefits of scaling component; high estimation of PSNR is coveted because it displays great intangibility of the strategy.
High performance intrusion detection using modified k mean & naïve bayeseSAT Journals
Abstract
Internet Technology is growing at exponential rate day by day, making data security of computer systems more complex and critical. There has been multiple methodology implemented for the same in recent time as detailed in [1], [3]. Availability of larger bandwidth has made the multiple large computer server network connected worldwide and thus increasing the load on the necessity to secure data and Intrusion detection system (IDS) is one of the most efficient technique to maintain security of computer system. The proposed system is designed in such a way that are helpful in identifying malicious behavior and improper use of computer system. In this report we proposed a hybrid technique for intrusion detection using data mining algorithms. Our main objective is to do complete analysis of intrusion detection Dataset to test the implemented system.In This report we will propose a new methodology in which Modified k-mean is used for clustering whereas Naïve Bayes for the classification. These two data mining techniques will be used for Intrusion detection in large horizontally distributed database.
Keywords: Intrusion Detection, Modified K-Mean, Naïve Bays
What Is AI: Foundations, History and State of the Art of AI.
Intelligent Agents: Agents and Environments, Nature of Environments, Structure of Agents.
Problem Solving by searching: Problem-Solving Agents, Example Problems,Searching for Solutions, Uninformed Search Strategies, Informed (Heuristic) Search Strategies, Heuristic Functions.
Learning from Examples: Forms of Learning, Supervised Learning, Learning Decision Trees, Evaluating and Choosing the Best Hypothesis, Theory of Learning, Regression and Classification with Linear Models, Artificial Neural Networks, Nonparametric Models, Support Vector Machines, Ensemble Learning, Practical Machine Learning
Learning probabilistic models: Statistical Learning, Learning with Complete Data, Learning with Hidden Variables: The EM Algorithm. Reinforcement learning: Passive Reinforcement Learning, Active Reinforcement Learning, Generalization in Reinforcement Learning, Policy Search, Applications of Reinforcement Learning.
Support Vector Machine–Based Prediction System for a Football Match Resultiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
An Investigation towards Effectiveness in Image Enhancement Process in MPSoC IJECEIAES
Image enhancement has a primitive role in the vision-based applications. It involves the processing of the input image by boosting its visualization for various applications. The primary objective is to filter the unwanted noises, clutters, sharpening or blur. The characteristics such as resolution and contrast are constructively altered to obtain an outcome of an enhanced image in the bio-medical field. The paper highlights the different techniques proposed for the digital enhancement of images. After surveying these methods that utilize Multiprocessor System-on-Chip (MPSoC), it is concluded that these methodologies have little accuracy and hence none of them are efficiently capable of enhancing the digital biomedical images.
Design and Implementation of Low Power DSP Core with Programmable Truncated V...ijsrd.com
The programmable truncated Vedic multiplication is the method which uses Vedic multiplier and programmable truncation control bits and which reduces part of the area and power required by multipliers by only computing the most-significant bits of the product. The basic process of truncation includes physical reduction of the partial product matrix and a compensation for the reduced bits via different hardware compensation sub circuits. These results in fixed systems optimized for a given application at design time. A novel approach to truncation is proposed, where a full precision vedic multiplier is implemented, but the active section of the truncation is selected by truncation control bits dynamically at run-time. Such architecture brings together the power reduction benefits from truncated multipliers and the flexibility of reconfigurable and general purpose devices. Efficient implementation of such a multiplier is presented in a custom digital signal processor where the concept of software compensation is introduced and analyzed for different applications. Experimental results and power measurements are studied, including power measurements from both post-synthesis simulations and a fabricated IC implementation. This is the first system-level DSP core using a high speed Vedic truncated multiplier. Results demonstrate the effectiveness of the programmable truncated MAC (PTMAC) in achieving power reduction, with minimum impact on functionality for a number of applications. On comparison with the previous parallel multipliers Vedic should be much more fast and area should be reduced. Programmable truncated Vedic multiplier (PTVM) should be the basic part implemented for the arithmetic and PTMAC units.
Short Term Load Forecasting Using Bootstrap Aggregating Based Ensemble Artifi...Kashif Mehmood
Short Term Load Forecasting (STLF) can predict load from several minutes to week plays
the vital role to address challenges such as optimal generation, economic scheduling, dispatching and
contingency analysis. This paper uses Multi-Layer Perceptron (MLP) Artificial Neural Network
(ANN) technique to perform STFL but long training time and convergence issues caused by bias,
variance and less generalization ability, unable this algorithm to accurately predict future loads. This
issue can be resolved by various methods of Bootstraps Aggregating (Bagging) (like disjoint
partitions, small bags, replica small bags and disjoint bags) which helps in reducing variance and
increasing generalization ability of ANN. Moreover, it results in reducing error in the learning process
of ANN. Disjoint partition proves to be the most accurate Bagging method and combining outputs of
this method by taking mean improves the overall performance. This method of combining several
predictors known as Ensemble Artificial Neural Network (EANN) outperform the ANN and Bagging
method by further increasing the generalization ability and STLF accuracy.
Machine Learning Data Life Cycle in Production (Week 2 feature engineering...Ajay Taneja
This is the Machine Learning Engineering in Production Course notes. This is the Week 2 of Machine Learning Data Life Cycle in Production (Course 2) course. This is the course 2 of MLOps specialization on coursera
FPGA based Efficient Interpolator design using DALUT Algorithmcscpconf
Interpolator is an important sampling device used for multirate filtering to provide signal processing in wireless communication system. There are many applications in which sampling rate must be changed. Interpolators and decimators are utilized to increase or decrease the sampling rate. In this paper an efficient method has been presented to implement high speed and area efficient interpolator for wireless communication systems. A multiplier less technique is used which substitutes multiplyand-accumulate operations with look up table (LUT) accesses. Interpolator has been implemented using Partitioned distributed arithmetic look up table (DALUT) technique. This technique has been used to take an optimal advantage of embedded LUTs of the target FPGA. This method is useful to enhance the system performance in terms of speed and area. The proposed interpolator has been designed using half band poly phase FIR structure with Matlab, simulated with ISE, synthesized with Xilinx Synthesis Tools (XST) and implemented on Spartan-3E and Virtex2pro device. The proposed LUT based multiplier less approach has shown a maximum operating frequency of 92.859 MHz with Virtex Pro and 61.6 MHz with Spartan 3E by consuming considerably less resources to provide cost effective solution for wireless communication systems.
Breda, nieuwbouw bedrijfshal
Deventer, nieuwbouw grondgebonden woningen,
Gorssel, herinrichting en uitbreiding hotel restaurant,
Deventer, rerstauratie en nieuwbouw hotel
Lesson 02 - This lesson explores design issues related to overall network topology. The following sections discuss the traditional issues of bandwidth, delay, and reliability; as well as the often overlooked issues of operational simplicity and scalability, particularly as they pertain to routing.
Performance Evaluation of a Network Using Simulation Tools or Packet TracerIOSRjournaljce
Today, the importance of information and accessing information is increasing rapidly. With the advancement of technology, one of the greatest means of achieving knowledge are, computers have entered in many areas of our lives. But the most important of them are the communication fields. This study will be a practical guide for understanding how to assemble and analyze various parameters in network performance evaluation and when designing a network what is necessary to looking for to remove the consequences of degrading performance. Therefore, what can you do in a network performance evaluation using simulation tools such as Network Simulation or Packet tracer and how various parameters can be brought together successfully? CCNA, CCNP, HCNA and HCNP educational level has been used and important setting has been simulated one by one. At the result this is a good guide for a local or wide area network. Finally, the performance issues precautions described. Considering the necessary parameters, imaginary networks were designed and evaluated both in CISCO Packet Tracer and Huawei's eNSP simulation program. But it should not be left unsaid that the networks have been designed and evaluated in free virtual environments, not in a real laboratory. Therefore, it is impossible to make actual performance appraisal and output as there is no actual data available.
MEDICAL FACILITY ANALYSIS2MEDICAL FACILITY ANALYSIS16.docxARIV4
MEDICAL FACILITY ANALYSIS 2
MEDICAL FACILITY ANALYSIS 16
Medical Facility Analysis
Connie Farris
Colorado Technical University
Information Technology Architectures
(IT401-1801B-02)
Jennifer Merritt
Running head: MEDICAL FACILTY ANALYSIS 1
Table of Contents
Project Outline………………………………………………………………………...3
System Requirements …………………………………………………………………3
Architecture Selection………………………………………………………………….6
Resources and Timeline……………………………………………………………….8
Security…………………………………………………………………………………11
Final Analysis and Recommendations………………………………………………….13
References……………………………………………………………………………….15
Project Outline
Health care delivery systems are complex sociotechnical systems, characterized by dynamic interchanges with their environments (e.g., markets, payers, regulators, and consumers) and interactions among internal system components. These components include people, physical settings, technologies, care processes, and organization (e.g., rules, structure, information systems, communication, rewards, work flow, culture). ("Agency for Healthcare Research and Quality,", 2012) A local medical facility has requested an analysis to determine what will be required to update the current system and include video consults for the patients. This company has locations in 7 states of the southeastern part of the US. The process will be implemented at 21 locations. Over the next few weeks I will research the details which will include software, hardware, cost for equipment upgrades, and other extra cost that may be involved according to system requirements listed below. Network configuration will be discussed in the functions of the system. The need for the time frame for the project will also be considered. The main concern is to deliver a quality system. The final product will include a system where patients will be able to have face to face consultations with the doctor or PA through video capability.
System Requirements
. The first step is that the operating systems be updated with Microsoft 64 or 32-bit Windows 10 Pro, Windows 8 Pro, or Windows 7 Professional for best performance. Systems utilizing the architecture will have processors that are Intel Core i5-3470 3.2GHz LGA 1155 77W Quad-Core Desktop Processor equivalent or higher. The architecture requires 6 GB DDR3 RAM for memory and 250 GB of free space or higher for the hard drive. Uninterruptible Power Supply (UPS) is required for the client’s Information Technology (IT) professional to install. The HP LaserJet 3000 or 4000 Series printers are recommended. Broadband internet connections (specifically Cable) are recommended. For the 21 locations Logitech Meetup 4K HD Video Conference Camera with Integrated Audio will be purchased and installed. ("Hardware Specifications - American Medical Software", 2018)
The Functions of the System
The functions of this system will be to perform the basic functions of any medical offices. The system will be able to book appoint ...
Corporate Embezzlement Imagine you are employed by a large c.docxvanesaburnand
Corporate Embezzlement
Imagine you are employed by a large city police department as the leader of the digital forensics division. A large corporation in the city has contacted the police for assistance in investigating its concerns that the company Chief Financial Officer (CFO) has been using company money to fund personal travel, gifts, and other expenses. As per the company security director, potential evidence collected thus far includes emails, bank statements, cancelled checks, a laptop, and a mobile device.
Write an eight to ten (8-10) page plan report in which you:
1. Explain the processes you would use to seize, search, collect, store, and transport devices and other potential sources of evidence.
2. Indicate the personnel resources needed for the investigation and assess why you believe this amount of resources is warranted.
3. List the initial questions you would have for the security director regarding the company’s email environment and explain the tasks you would consider performing for this portion of the investigation.
4. Create an outline of the steps you would take to ensure that if a trial were brought against the CFO, the evidence collected would be admissible in the court of law.
5. Determine the potential evidence (including logs, devices, etc.) you would request from the company security director based on what she has identified and identify the other data sources you might consider reviewing.
6. Explicate the tools you would use for this investigation based on the potential evidence the company security director has already identified, as well as any other potential sources of evidence you might review.
7. Describe the procedure and tool(s) you would consider utilizing for acquiring potential evidence from the CFO’s mobile device.
8. Use at least five (5) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.
Your assignment must follow these formatting requirements:
· Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA format.
The specific course learning outcomes associated with this assignment are:
· Describe and analyze practices in obtaining digital evidence.
· Compare and contrast the various types of computer forensic tools.
· Demonstrate the ability to develop procedural techniques in crime and incident scenes.
· Describe processes in recovering graphic, mobile, and email files.
· Develop a computer forensics plan that addresses and solves a proposed business problem.
· Use technology and information resources to research advanced issues in computer forensics.
· Write clearly and concisely about topics related to computer forensics planning using proper writing mechanics and technical style conventions.
Chapter 10: System Architecture
Note to Students: After you complete the Practice Tasks, click here to view the sample
answers and check .
CONSULTANT ANALYSIS FOR MEDICAL FACILITY2CONSULTANT ANALYSIS FO.docxdonnajames55
CONSULTANT ANALYSIS FOR MEDICAL FACILITY 2
CONSULTANT ANALYSIS FOR MEDICAL FACILITY 16
Consultant Analysis for Medical Facility
Connie Farris
Colorado Technical University
Information Technology Architectures
(IT401-1801B-02)
Jennifer Merritt
Running head: CONSULTANT ANALYSIS FOR MEDICAL FACILITY 1
Table of Contents
Project Outline………………………………………………………………………...3
System Requirements …………………………………………………………………3
Architecture Selection………………………………………………………………….6
Resources and Timeline ……………………………………………………………………………………9
Security………………………………………………………………………………. 11
Final Analysis and Recommendations………………………………………………….13
References……………………………………………………………………………….15
Project Outline
Health care delivery systems are complex sociotechnical systems, characterized by dynamic interchanges with their environments (e.g., markets, payers, regulators, and consumers) and interactions among internal system components. These components include people, physical settings, technologies, care processes, and organization (e.g., rules, structure, information systems, communication, rewards, work flow, culture). ("Agency for Healthcare Research and Quality,", 2012) A local medical facility has requested an analysis to determine what will be required to update the current system and include video consults for the patients. This company has locations in 7 states of the southeastern past of the US. The process will be implemented at 21 locations. Over the next few weeks I will research the details which will include software, hardware, cost for equipment upgrades, and other extra cost that may be involved according to system requirements listed below. Network configuration will be discussed in the functions of the system. The need for the time frame for the project will also be considered. The main concern is to deliver a quality system. The final product will include a system where patients will be able to have face to face consultations with the doctor or PA through video capability.
System Requirements
. The first step is that the operating systems be updated with Microsoft 64 or 32-bit Windows 10 Pro, Windows 8 Pro, or Windows 7 Professional for best performance. Systems utilizing the architecture will have processors that are Intel Core i5-3470 3.2GHz LGA 1155 77W Quad-Core Desktop Processor equivalent or higher. The architecture requires 6 GB DDR3 RAM for memory and 250 GB of free space or higher for the hard drive. Uninterruptible Power Supply (UPS) is required for the client’s Information Technology (IT) professional to install. The HP LaserJet 3000 or 4000 Series printers are recommended. Broadband internet connections (specifically Cable) are recommended. For the 21 locations Logitech Meetup 4K HD Video Conference Camera with Integrated Audio will be purchased and installed. ("Hardware Specifications - American Medical Software", 2018)
The Functions of the System
The functions of this system will be to perform the basic .
A SIMULATION APPROACH TO PREDICATE THE RELIABILITY OF A PERVASIVE SOFTWARE SY...Osama M. Khaled
The pervasive computing domain is a very challenging one and requires a robust architectural model to facilitate the production of its systems. In this paper, we explain a case study using a simulation prototype to validate our baseline architecture of a reference architecture for the pervasive computing domain. The simulation prototype was very useful in predicting the reliability and availability of the system using the baseline architecture during runtime.
For more details, please request the full paper from this link
https://www.researchgate.net/publication/324824319_A_SIMULATION_APPROACH_TO_PREDICATE_THE_RELIABILITY_OF_A_PERVASIVE_SOFTWARE_SYSTEM
The paper can be cited as follows:
Osama M. Khaled, Hoda M. Hosny and Mohamed Shalan (2018). A Simulation Approach to Predict the Reliability of a Pervasive Software System. In The Fourth International Conference on Software Engineering (SOENG 2018). April 28-29 Copenhagen, Denmark
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
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1. Chapter 14 Network Design and Management Data Communications and Computer Networks: A Business User’s Approach
2. Data Communications and Computer Networks Chapter 14 Introduction Properly designing a computer network is a difficult task. It requires planning and analysis, feasibility studies, capacity planning, and baseline creation skills. Performing network management is difficult too. A network manager must possess computer and people skills, management skills, financial skills, and be able to keep up with changing technology.
3. Data Communications and Computer Networks Chapter 14 Systems Development Life Cycle (SDLC) Every business has a number of goals. System planners and management personnel within a company try to generate a set of questions, or problems, to help the company achieve those goals. To properly understand a problem, analyze all possible solutions, select the best solution, and implement and maintain the solution, you need to follow a well-defined plan. SDLC is a methodology, or plan, for a structured approach to the development of a business system.
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5. Data Communications and Computer Networks Chapter 14 Cycle of the phases
6. Data Communications and Computer Networks Chapter 14 Systems Development Life Cycle A systems analyst is typically responsible for managing a project and following the SDLC phases. Anyone, however, may be called upon to assist a systems analyst. Or anyone may have to assume some of the duties of a systems analyst. Individuals that are called upon to support a computer network should understand the basic phases of SDLC.
7. Data Communications and Computer Networks Chapter 14 Systems Development Life Cycle Planning Phase - Identify problems, opportunities, and objectives. Analysis Phase - Determine information requirements. Information requirements can be gathered by sampling and collecting hard data, interviewing, questionnaires, observing environments, and prototyping. Design Phase - Design the system that was recommended and approved at the end of the analysis phase.
8. Data Communications and Computer Networks Chapter 14 Systems Development Life Cycle Implementation Phase - The system is installed and preparations are made to move from the old system to the new. Maintenance Phase - The longest phase, involves the ongoing maintenance of the project. Maintenance may require personnel to return to an earlier phase to perform an update.
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10. Data Communications and Computer Networks Chapter 14 Network Modeling When updating or creating a new computer system, the analyst will create a set of models for both the existing system (if there is one) and the proposed system. Network models can either demonstrate the current state of the network or can model the desired computer network. A location connectivity diagram is a network modeling tool that depicts the various locations involved in a a network and the interconnections between those locations.
11. Data Communications and Computer Networks Chapter 14 Network Modeling An overview location connectivity diagram shows the big picture of geographic locations of network facilities. External users and mobile users can be identified, as well as the locations primary to a business. A detailed location connectivity diagram is a close-up model of a single location and the networks that reside at the location. Working groups and the distances between those groups can be identified with a detailed diagram.
12. Data Communications and Computer Networks Chapter 14 X means a special site
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15. Feasibility Studies Time feasible means the system can be constructed in an agreed upon time frame. Payback analysis ascertains costs and benefits of proposed system usually on an annual basis. Payback analysis is a good technique to use to determine financial feasibility. To calculate payback analysis, you must know all the expenses that will be incurred to create and maintain the system, as well as all possible income derived from the system. You must also be aware of the time value of money (a dollar today is worth more than one dollar promised a year from now because the dollar can be invested).
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19. Data Communications and Computer Networks Chapter 14 Capacity Planning Capacity planning involves trying to determine the amount of network bandwidth necessary to support an application or a set of applications. A number of techniques exist for performing capacity planning, including linear projection, computer simulation, benchmarking, and analytical modeling. Linear projection involves predicting one or more network capacities based on the current network parameters and multiplying by some constant.
20. Data Communications and Computer Networks Chapter 14 Capacity Planning A computer simulation involves modeling an existing system or proposed system using a computer-based simulation tool. Benchmarking involves generating system statistics under a controlled environment and then comparing those statistics against known measurements. Analytical modeling involves the creation of mathematical equations to calculate various network values.
21. Data Communications and Computer Networks Chapter 14 Creating a Baseline Involves the measurement and recording of a network’s state of operation over a given period of time. A baseline can be used to determine current network performance and to help determine future network needs. Baseline studies should be ongoing projects, and not something started and stopped every so many years.
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26. Generating Useable Statistics Statistics, properly generated, can be an invaluable aid to demonstrating current system demands and predicting future needs. Mean time between failures (MTBF) Mean time to repair (MTTR) Availability is the probability that a particular component or system will be available during a fixed time period Reliability is the probability that over a period of time the particular component or device will be available
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29. Generating Useable Statistics Suppose we want to calculate the availability of a modem that has a MTBF of 3000 hours and a MTTR of 1 hour. The availability of this modem for an 8-hour period is: a = 1/1 b = 1/3000 = 0.00033 A(8 hours) =1/(1 + 0.00033) + 0.00033/(1 + 0.00033) x e -(1 + 0.00033)8 = 0.9997 + 0.00033 x 0.000335 = 0.9997 Not available 3 out of 10,000 times you want it.
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31. Data Communications and Computer Networks Chapter 14 Generating Useable Statistics What is the reliability of a modem if the MTBF is 3000 hours and a transaction takes 20 minutes, or 1/3 of an hour (0.333 hours): R(0.333 hours) = e -(1/3000)(0.333) = e -0.000111 = 0.99989 Not reliable for .011 percent of the time.
32. Data Communications and Computer Networks Chapter 14 Generating Useable Statistics So what do you want? Availability and reliability between 0.9999 and 0.99999 is desired! What is this in number of hours between failure for a year of service?
33. Data Communications and Computer Networks Chapter 14 Managing Operations There are many services and functions available to assist an individual in managing computer network operations. One of the more useful is Simple Network Management Protocol (SNMP) . SNMP is an industry standard designed to manage network components from a remote location. Currently in version 3, SNMP supports agents, managers, and the Management Information Base (MIB).
34. Data Communications and Computer Networks Chapter 14 Managing Operations A managed element has management software, called an agent , running in it. A second object, the SNMP manager , controls the operations of a managed element and maintains a database of information about all managed elements. A manager can query an agent to return current operating values, or can instruct an agent to perform a particular action. The Management Information Base (MIB) is a collection of information that is organized hierarchically and describes the operating parameters of all managed agents.
35. Data Communications and Computer Networks Chapter 14 Managing Operations SNMP operates on a network between the application layer and the UDP/IP layer (not TCP/IP) – the transport layer.
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37. Data Communications and Computer Networks Chapter 14 Capacity Planning and Network Design In Action: BringBring Corporation Returning to BringBring Corporation from an earlier chapter, let’s complete our design, including e-mail and Internet access for each of the four sites. A linear projection can be used to estimate the amount of Internet traffic at each site. An overview location connectivity diagram gives us a big picture of the network interconnections.
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39. Data Communications and Computer Networks Chapter 14 Capacity Planning and Network Design In Action: BringBring Corporation A second linear projection can be used to determine the amount of local area network traffic within each site.