Green networking aims to reduce the carbon footprint of information and communication technology (ICT) networks by improving energy efficiency. Key strategies include optimizing network infrastructure utilization through technologies like virtualization, improving equipment energy efficiency, and locating network resources closer to renewable energy sources. Measurement of energy savings is important to track progress towards a lower carbon "Green Network".
A short video & presentation looking at what is meant by Non-Terrestrial Networks or NTN as being defined by 3GPP
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
A short video & presentation looking at what is meant by Non-Terrestrial Networks or NTN as being defined by 3GPP
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Massive MIMO (also known as “Large-Scale Antenna Systems”, “Very Large MIMO”, “Hyper MIMO”, “Full-Dimension MIMO” and “ARGOS”) makes a clean break with current practice through the use of a large excess of service-antennas over active terminals and time division duplex operation. Extra antennas help by focusing energy into ever-smaller regions of space to bring huge improvements in throughput and radiated energy efficiency. Other benefits of massive MIMO include the extensive use of inexpensive low-power components, reduced latency, simplification of the media access control (MAC) layer, and robustness to intentional jamming. The anticipated throughput depend on the propagation environment providing asymptotically orthogonal channels to the terminals, but so far experiments have not disclosed any limitations in this regard. While massive MIMO renders many traditional research problems irrelevant, it uncovers entirely new problems that urgently need attention: the challenge of making many low-cost low-precision components that work effectively together, acquisition and synchronization for newly-joined terminals, the exploitation of extra degrees of freedom provided by the excess of service-antennas, reducing internal power consumption to achieve total energy efficiency reductions, and finding new deployment scenarios.
gi-fi :the next generation wireless technologyHarshad Kale
Gigabit Wireless is the world‟s first transceiver integrated on a single chip which operates at 60GHz
on the CMOS process. Wireless transfer of large files, audio and video data upto
5 gigabits per second is
possible with this chip. The cost of wireless transfer rate is one
-
tenth and it provides ten times faster speed
within a range of 10 meters. It uses a 5mm square chip and a 1mm wide antenna burning less than 2milli
w
atts of power to transmit data wirelessly over short distances, similar to Bluetooth. Gi
-
Fi technology
provides
various different features like
High speed of data transfer, Low power consumption, High security,
Cost effective, Small size, Quick
deployment, Highly portable, high mobility etc.
5G is the fifth generation cellular network technology. The industry association 3GPP defines any system using "5G NR" (5G New Radio) software as "5G", a definition that came into general use by late 2018. Others may reserve the term for systems that meet the requirements of the ITU IMT-2020. 3GPP will submit their 5G NR to the ITU.[1] It follows 2G, 3G and 4G and their respective associated technologies (such as GSM, UMTS, LTE, LTE Advanced Pro and others).
The 5th generation wireless technology, abbreviated as 5G, are the proposed next telecommunications standards beyond the current 4G Advanced standards. The Next Generation Mobile Networks Alliance defines the following requirements:
The data rates of tens of megabits per second for tens of thousands of users
Data rates of 100 megabits per second for metropolitan areas
Massive MIMO (also known as “Large-Scale Antenna Systems”, “Very Large MIMO”, “Hyper MIMO”, “Full-Dimension MIMO” and “ARGOS”) makes a clean break with current practice through the use of a large excess of service-antennas over active terminals and time division duplex operation. Extra antennas help by focusing energy into ever-smaller regions of space to bring huge improvements in throughput and radiated energy efficiency. Other benefits of massive MIMO include the extensive use of inexpensive low-power components, reduced latency, simplification of the media access control (MAC) layer, and robustness to intentional jamming. The anticipated throughput depend on the propagation environment providing asymptotically orthogonal channels to the terminals, but so far experiments have not disclosed any limitations in this regard. While massive MIMO renders many traditional research problems irrelevant, it uncovers entirely new problems that urgently need attention: the challenge of making many low-cost low-precision components that work effectively together, acquisition and synchronization for newly-joined terminals, the exploitation of extra degrees of freedom provided by the excess of service-antennas, reducing internal power consumption to achieve total energy efficiency reductions, and finding new deployment scenarios.
gi-fi :the next generation wireless technologyHarshad Kale
Gigabit Wireless is the world‟s first transceiver integrated on a single chip which operates at 60GHz
on the CMOS process. Wireless transfer of large files, audio and video data upto
5 gigabits per second is
possible with this chip. The cost of wireless transfer rate is one
-
tenth and it provides ten times faster speed
within a range of 10 meters. It uses a 5mm square chip and a 1mm wide antenna burning less than 2milli
w
atts of power to transmit data wirelessly over short distances, similar to Bluetooth. Gi
-
Fi technology
provides
various different features like
High speed of data transfer, Low power consumption, High security,
Cost effective, Small size, Quick
deployment, Highly portable, high mobility etc.
5G is the fifth generation cellular network technology. The industry association 3GPP defines any system using "5G NR" (5G New Radio) software as "5G", a definition that came into general use by late 2018. Others may reserve the term for systems that meet the requirements of the ITU IMT-2020. 3GPP will submit their 5G NR to the ITU.[1] It follows 2G, 3G and 4G and their respective associated technologies (such as GSM, UMTS, LTE, LTE Advanced Pro and others).
The 5th generation wireless technology, abbreviated as 5G, are the proposed next telecommunications standards beyond the current 4G Advanced standards. The Next Generation Mobile Networks Alliance defines the following requirements:
The data rates of tens of megabits per second for tens of thousands of users
Data rates of 100 megabits per second for metropolitan areas
Impact of Climate Change on Academic ResearchBill St. Arnaud
Climate Change will have significant impacts on how we will carry out academic research in the coming years. Cyber-infrastructure is part of the problem, but its all part of the solution
Empirical studies have revealed that a significant amount of energy is lost unnecessarily in the
network architectures, protocols, routers and various other network devices. Thus there is a need for techniques
to obtain green networking in the computer architecture which can lead to energy saving. Green networking is
an emerging phenomenon in the computer industry because of its economic and environmental benefits. Saving
energy leads to cost-cutting and lower emission of greenhouse gases which are apparently one of the major
threats to the environment. ’Greening’ as the name suggests is the process of constructing network architecture
in such a way so as to avoid unnecessary loss of power and energy due its various components and can be
implemented using various techniques out of which four are mentioned in this review paper, namely Adaptive
link rate (ALR), Dynamic Voltage and Frequency scaling(DVFS), Interface proxying and energy aware
applications and software.
Improved performance through carbon aware green cloud policyIjrdt Journal
Cloud computing and Green computing are two most emergent areas in information communication technology (ICT) with immense applications in the entire globe. Due to tremendous improvements in computer networks, the people prefer the Network-based computing instead of doing something in an in-house based computing. In any business sectors, daily business and individual computing are now migrating from individual hard drives to internet servers. Therefore more and more companies are investing in building large datacenters to host Cloud services. These datacenters not only consume huge amount of energy but are also very complex in the infrastructure itself. Certain studies propose to make these datacenters energy efficient by using technologies such as virtualization and consolidation. These solutions are mostly cost driven and thus, do not directly address the critical impact on the environmental sustainability in terms of CO2 emissions. Hence, in this work, we propose a user-oriented Cloud architectural framework, i.e. Carbon Aware Green Cloud Architecture, which addresses this environmental problem from the overall usage of Cloud Computing resources.
An approach towards greening the digital display systemTarik Reza Toha
Signage display, which is used to convey message or information, has evolved from conventional to digital display. Conventional signage which may be hand written or printed papers are being wiped out by digital displays used by industries because of its attractive features of efficient involvement of consumers. However, extensive use of digital signage displays contributes a notable amount of power consumption (about 1000W for a 14inch × 48inch display) of a region. In this literature, we have devised a novel approach for reducing power consumption of digital signage as well as satisfying human visibility by exploiting duty cycle. Our proposed technique is capable of relinquishing a significant amount (about 14.54% in comparison with existing display system) of power consumption occurred by digital display by keeping an eye on expected human vision.
Many-Objective Performance Enhancement in Computing ClustersTarik Reza Toha
In a heterogeneous computing cluster, cluster objectives are conflicting to each other. Selecting a right combination of machines is necessary to enhance cluster performance, and to optimize all the cluster objectives. In this paper, we perform empirical performance analyses of a real cluster with our year-long collected data, formulate a new many-objective optimization problem for clusters, and integrate a greedy approach with the existing NSGA-III algorithm to solve this problem. From our experimental results, we find our approach performs better than existing optimization approaches.
Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Compu...Tarik Reza Toha
Computing clusters are evaluated using different performance metrics, which often appear to be conflicting while being attempted to be optimized. For such conflicting cases along with frequently having an existence of heterogeneous environment, it is difficult for the cluster administrators to efficiently schedule machines, i.e., to select the right number and right combination of machines. In this paper, we develop a technique through which cluster administrators can select the right set of machines to enhance energy efficiency and cluster performance. To do so, first, we perform extensive laboratory experiments for a period of more than one year. Based on empirical analyses of data collected from the experiments, we formulate a many-objective optimization problem for clusters and integrate a greedy approach with Non-dominated Sorting Genetic Algorithm (NSGA-III) to solve this problem. We demonstrate that our approach mostly performs better than existing approaches in the literature through both real experimentation and simulation.
Predicting Human Count through Environmental Sensing in Closed Indoor SettingsTarik Reza Toha
Detecting count of human beings accurately in a closed indoor environment is crucial in diverse application areas including search and rescue, surveillance, customer analytics, abnormal event detection, human gait characterization, congestion analysis and many more. Moreover, it has significant importance in preventing any intrusion in a secured indoor space such as a bank vault. Sensors-based technologies (for example camera, PR, etc.) are becoming more popular day by day as the regular methodologies are not good enough to ensure enhanced security in a closed indoor environment. As sensors used in these technologies have to be deployed in visible places, there exist possibilities of damaging the sensors by the intruder. Therefore, this paper proposes a novel methodology to detect human count in such closed indoor setting, which can be deployed in any hidden place. Here, human count is done based on four environmental gaseous parameters (Carbon Dioxide, Liquefied Petroleum Gas or LPG, Nitrogen Dioxide, and Sulfur Dioxide) and two weather parameters (temperature and humidity). Real experiments are done under closed controlled settings and counting is done using machine learning algorithms such as Bagging, Random-Forest, IBK, and J48. We achieve more than 99% accuracy for some of the classifiers in detecting the number of humans present.
Automatic Fabric Defect Detection with a Wide-And-Compact NetworkTarik Reza Toha
Automatic detection of fabric defects is an important process for the textile industry. Besides the detection accuracy, an automatic fabric defect detection solution for a resource-limited system also requires superior performance in terms of processing time and simplicity. This paper proposes a compact convolutional neural network architecture for the detection of a few common fabric defects. The proposed architecture uses several micro architectures with multilayer perceptron to optimize network. The main component of a micro architecture is constructed using techniques of multi-scale analysis, filter factorization, multiple locations pooling, and parameters reduction, to improve detection accuracy in a compact model. Experimental results show that, compared to mainstream convolutional neural network architectures, the proposed network achieved superior performance in terms of detection accuracy with a much smaller model size. It worked well not only for fabric defects detection, but also for object recognition on a few public datasets.
Binarization of degraded document images based on hierarchical deep supervise...Tarik Reza Toha
The binarization of degraded document images is a challenging problem in terms of document analysis. Binarization is a classification process in which intra-image pixels are assigned to either of the two following classes: foreground text and background. Most of the algorithms are constructed on low-level features in an unsupervised manner, and the consequent disenabling of full utilization of input-domain knowledge considerably limits distinguishing of background noises from the foreground. In this paper, a novel supervised-binarization method is proposed, in which a hierarchical deep supervised network (DSN) architecture is learned for the prediction of the text pixels at different feature levels. With higher-level features, the network can differentiate text pixels from background noises, whereby severe degradations that occur in document images can be managed. Alternatively, foreground maps that are predicted at lower-level features present a higher visual quality at the boundary area. Compared with those of traditional algorithms, binary images generated by our architecture have cleaner background and better-preserved strokes. The proposed approach achieves state-of-the-art results over widely used DIBCO datasets, revealing the robustness of the presented method.
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Countin...Tarik Reza Toha
For crowded scenes, the accuracy of object-based computer vision methods declines when the images are low-resolution and objects have severe occlusions. Taking counting methods for example, almost all the recent state-of-the-art counting methods bypass explicit detection and adopt regression-based methods to directly count the objects of interest. Among regression-based methods, density map estimation, where the number of objects inside a subregion is the integral of the density map over that subregion, is especially promising because it preserves spatial information, which makes it useful for both counting and localization (detection and tracking). With the power of deep convolutional neural networks (CNNs) the counting performance has improved steadily. The goal of this paper is to evaluate density maps generated by density estimation methods on a variety of crowd analysis tasks, including counting, detection, and tracking. Most existing CNN methods produce density maps with resolution that is smaller than the original images, due to the downsample strides in the convolution/pooling operations. To produce an original-resolution density map, we also evaluate a classical CNN that uses a sliding window regressor to predict the density for every pixel in the image. We also consider a fully convolutional adaptation, with skip connections from lower convolutional layers to compensate for loss in spatial information during upsampling. In our experiments, we found that the lower-resolution density maps sometimes have better counting performance. In contrast, the original-resolution density maps improved localization tasks, such as detection and tracking, compared with bilinear upsampling the lower-resolution density maps. Finally, we also propose several metrics for measuring the quality of a density map, and relate them to experiment results on counting and localization.
BGPC: Energy-Efficient Parallel Computing Considering Both Computational and ...Tarik Reza Toha
Parallel computing has become popular now-a-days due to its computing efficiency and cost effectiveness. However, in parallel computing systems, the computing demands a set of machines instead of a single machine. Therefore, it consumes a significant amount of power compared to single-machine computing systems. Moreover, a noticeable amount of power is necessary for maintaining the optimum temperature in the working environment of the parallel systems. This power is generally known as the cooling power required for the systems.
Although several power saving parallel computing schemes have already been proposed in the literature to date in order to minimize computational power consumption of a parallel system, designing a scheme considering both computational and cooling power consumption with low-cost resource is yet to be investigated in the literature. Therefore, in this thesis, we propose a low-cost power saving scheme simultaneously considering both computational and cooling power consumption. We design a machine learning framework BPGC, which tries to find the number of machines needed to be activated to be optimal, or at least near-optimal, in terms of minimum total energy consumption, with minimal overhead.
In order to predict total energy, we need to predict response time, computational power, and cooling power. We fit different machine learning algorithms for these predictions by using a year long collected training data. K-nearest neighbors, Support Vector Machine for regression, and Additive Regression using Random Forest show the highest accuracy for these predictions respectively. We implement BPGC framework in our test-bed with two green methods and static method. Our framework outperforms the green methods with a little degradation of QoS compared to the best QoS provider, that is, static method.
Towards Simulating Non-lane Based Heterogeneous Road Traffic of Less Develope...Tarik Reza Toha
Microscopic traffic simulators have become efficient tools to conduct different analytic studies on roads, vehicles, behavior of drivers, and critical intersections, which lead towards a well-planned traffic solution. Devising a realistic and sustainable traffic solution requires replication of the real traffic scenario in a simulator. For example, to simulate the traffic streams of developing and under developed countries, we need to simulate non-lane based heterogeneous traffic stream, i.e., motorized and non-motorized vehicles, road traffic behaviors such as irregular pedestrian, illegal parking, violation of laws pertaining lanes, etc. However, most of the existing traffic simulators are unable to mimic the unstructured road traffic streams of less developed countries with their diversified behaviors. Therefore, in this work, we propose a new microscopic traffic simulator to handle nonlane based heterogeneous traffic stream and on road traffic behaviors that generally occurred in the road networks of cities in less developed countries. Our simulator receives network topology, traffic routes, and traffic demand flow rates as input, visualizes the traffic flows, and provides traffic statistics. To evaluate sustainability of our proposed simulator in real-life scenarios, we calibrate the simulator using real traffic data. Our evaluation reveals 99% accuracy in terms of travel time.
GMC: Greening MapReduce Clusters Considering both Computation Energy and Cool...Tarik Reza Toha
Increased processing power of MapReduce clusters generally enhances performance and availability at the cost of substantial energy consumption that often incurs higher operational costs (e.g., electricity bills) and negative environmental impacts (e.g., carbon dioxide emissions). There exist a few greening methods for computing clusters in the literature that focus mainly on computational energy consumption leaving cooling energy, which occupies a significant portion of the total energy consumed by the clusters. To this extent, in this paper, we propose a machine learning based approach named as Green MapReduce Cluster (GMC) that reduces the total energy consumption of a MapReduce cluster considering both computational energy and cooling energy. GMC predicts the number of machines that results in minimum total energy consumption. We perform the prediction through applying different machine learning techniques over year-long data collected from a real setup. We evaluate performance of GMC over a real testbed. Our evaluation reveals that GMC reduces total energy consumption by up to 47% compared to other alternatives while experiencing marginal throughput degradation in a few cases.
PNUTS is a massively parallel and geographically distributed database system for Yahoo!’s web applications. It provides data storage organized as hashed or ordered tables, low latency for large numbers of concurrent requests including updates and queries, and novel per-record consistency guarantees. It is a hosted, centrally managed, and geographically distributed service, and utilizes automated load-balancing and failover to reduce operational complexity. The first version of the system is currently serving in production. This presentation describes the motivation for PNUTS and the design and implementation of its table storage and replication layers, and then presents experimental results.
Signage display, which is used to convey message or information, has evolved from conventional to digital display. Conventional signage which may be hand written or printed papers are being wiped out by digital displays used by industries because of its attractive features of efficient involvement of consumers. However, extensive use of digital signage displays contributes a notable amount of power consumption (about 1000W for a 14inch × 48inch display) of a region. In this literature, we have devised a novel approach for reducing power consumption of digital signage as well as satisfying human visibility by exploiting duty cycle. Our proposed technique is capable of relinquishing a significant amount (about 14.54% in comparison with existing display system) of power consumption occurred by digital display by keeping an eye on expected human vision.
Workload-Based Prediction of CPU Temperature and Usage for Small-Scale Distri...Tarik Reza Toha
The recent boost in the usage of high-performance computing systems in small research environments, such as those found at many universities, stipulates the need of smallscale distributed systems. Owning to the rapid growth in both computing power and heat, development of proper thermal and resource management becomes crucial concern of the research community along with the vendors to ensure efficiency for such systems. Moreover, an accurate and relatively fast strategy is needed for adaptation of different sizes of workload in such systems. Therefore, in this paper, we focus on developing simple prediction models of CPU temperature and usage for the systems. We investigate impacts of macro-level parameters such as the number of machines and different sizes of workload on CPU temperature and usage via real experiment. Our experimental results reveal that for a certain size of workload, the variation in CPU temperature and usage is minimal in response to a change in the number of machines, which does not hold in the reverse way. Hence, we develop workload-based prediction models for CPU temperature and usage. We evaluate the accuracy of our models by comparing the values calculated based on these models against the measurements found from real implementation.
Towards Making an Anonymous and One-Stop Online Reporting System for Third-Wo...Tarik Reza Toha
Under-reporting is one of the main causes of failure to solve social problems, which obstruct national development in thirdworld countries. A one-stop online reporting system can facilitate minimizing the extent of under-reporting, which is yet to be developed for general people of third-world countries. Therefore, in this paper, we propose a generic online reporting system where one can submit report anonymously, even without registration. Our system aims at propagating the reports to the respective authorities such as law enforcement agencies, anti-corruption commission, city corporation, policy makers, human rights commissions, etc., after a reviewing process. The system will also publish the reports without disclosing identities of the reporters to disseminate the information among public and to collect the public opinions about the reports.
Sparse Mat: A Tale of Devising A Low-Cost Directional System for Pedestrian C...Tarik Reza Toha
Pedestrian counting is required in diversified places such as shopping malls, touristic spots, etc., however, a low-cost solution to this problem is yet to be proposed in the literature. Therefore, in this paper, we propose a new solution for pedestrian counting that exploits only a small number of COTS sensors (94% less than that used in the existing Eco-Counter solution). To do so, we propose detail designs and two different algorithms for separately sensing step-down and step-up phenomena that we find while walking. User evaluation of real implementations of both our algorithms confirms an average accuracy of up to 93% through sensing the step-up phenomena.
uReporter, an open public reporting system(SD)Tarik Reza Toha
In day-to-day life, we, the common people, face different types of social problems around us. But most often these issues cannot be reported properly to the proper authorities due to some massive roadblocks between victim and concerned authorities. Security threat, political pressure, lack of knowledge about responsible authorities are the most prevalent obstacles in our country. Also, there exists negligence of related authority like Police, RAB etc. To overcome these roadblocks, we want to build uReporter, a unified online reporting system, which will send the reports as soon as possible to proper authorities after successful completion of several validation steps and reporters' personal information will be hidden. For this purpose, we will build a central repository system to store the reports from common people. Here, people can also share their experiences, supplement the previous reports, compliment about any authority. We will generate periodical reports through mining the valid data and public survey which depicts the real scenario of the society.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Green Networking
1.
2.
3. A network is a series
of points or nodes
interconnected by
communication
paths.
Networking is the
construction, design,
and use of a network.
4.
5. A new study reveals that the information,
communication and technology (ICT) industry
contributes to about 2 percent of global carbon
dioxide emissions, the same amount that the
aviation industry produces.
Researchers from the Centre for Energy-Efficient
Telecommunications (CEET) and Bell Labs have
estimated that the ICT industry, which
comprises Internet and cloud services,
discharges more than 830 million tons of carbon
dioxide every year.
6. Carbon dioxide is one of the primary greenhouse
gases that is responsible for the increase in
global temperatures. CO2 is naturally present in
the Earth's atmosphere, but the emission levels
of the gas have significantly increased due to
human activities.
Researchers involved in the new study have
projected that the emission of carbon by the ICT
sector is likely to double by the year 2020.
7. 820m tons CO2
360m tons CO2
260m tons CO2
2007Worldwide ICT
carbon footprint:
2% = 830 m tons CO2
Comparable to the
global aviation
industry
Expected to grow
to 4% by 2020
The Climate Group, GeSI
Report “Smart 2020”, 2008
8. Consciousness of environmental problems tied to
Greenhouse Gases (GHG) has increased in recent
years.
All around the world, various studies started
highlighting the devastating effects of massive GHG
emissions and their consequences on climate change.
According to a report published by the European
Union, a decrease in emission volume of 15%–30% is
required before year 2020 to keep the global
temperature increase below 2 ◦C.
9. GHG effects are not limited to the environment,
though.
Their influence on the economy have also been
investigated and their financial damage has been put
in perspective with the potential economical saving
that would follow GHG reduction.
In particular, projected that a 1/3 reduction of the GHG
emissions may generate an economical saving higher
than the investment required to reach this goal.
10. GHG reduction objectives involve many
industry branches, including the Information
and CommunicationTechnology (ICT) sector,
especially considering the penetration of
these technologies in everyday life.
Indeed , the volume of CO2 emissions
produced by the ICT sector alone has been
estimated to be approximately 2 % of the
total man-made emissions.
11. Energy becomes more expensive.
People become more conscious of the
negative effects of energy consumption on
the environment.
Reduction of unnecessary energy
consumption is becoming a major concern
because of the potential economical benefits
and of its expected environmental impact.
12. Large-scale ICT infrastructures expanded rapidly and their
energy consumption grew drastically these last few years.
As networks and data centers are generally prepared to
face high load conditions, these infrastructures are under-
utilized most of the time.
Network equipments, in particular, could be switched off
when the load is low and switched on again when traffic
increases, or when a failure happens, requiring redundant
equipments to take the duty.
There is, there, a clear direction to save energy.
13. Data-centers and networking infrastructure involve
high-performance and high-availability machines.They
therefore rely on powerful devices, which require
energy-consuming air conditioning to sustain their
operation, and which are organized in a redundant
architecture.
As these architectures are often designed to endure
peak load and degraded conditions, they are
underutilized in normal operation, leaving a large room
for energy savings.
14. Select energy-efficient technologies and
products.
Minimize resource use whenever possible.
In recent years, valuable efforts have indeed
been dedicated to reducing unnecessary
energy expenditure which is called greening.
15. Green is a simple approach of trying to live in
harmony with nature, whether in small increments,
or from the ground up, in terms of our living and
working environment.
• G - Generate less waste
• R - Recycle everything that cannot be reused
• E - Educate the community on eco-friendly options
• E - Evaluate the environmental impact of actions
• N- Nourish discussions and activities that integrate
environmental education into existing curriculum
16. Greening of the networking technologies and
protocols.
Optimize networking or make it more efficient,
reduce energy consumption, conserve
bandwidth.
Embedding energy-awareness in the design, in
the devices and in the protocols of networks.
Any process that will ultimately reduce energy
use and, indirectly, cost.
17. Implementing virtualization.
Practicing server consolidation.
Upgrading older equipment for newer, more
energy-efficient products.
Employing systems management to increase
efficiency.
Substituting telecommuting, remote
administration and videoconferencing for
travel.
18. Green networking is an initiative begun by many
telecommunication companies to reduce the
carbon dioxide emissions from base stations.
Base station emissions are expected to peak at
22 megatons this year and with green initiatives
drop 30% to 15.6 megatons by 2014.
If these measures are not instituted carbon
emissions are expected to rise to 35 megatons in
5 years.
19. The objective of green networking is to aim at
the minimization of the GHG emissions.
An obvious first step in this direction is to
enforce as much as possible the use of
renewable energy in ICT.
Yet another natural track is to design low power
components, able to offer the same level of
performance.
20. However, these are not the only leads: redesigning the
network architecture itself, for instance by de-locating
network equipment towards strategic places, may yield
substantial savings too for two main reasons.
The first reason is related to the losses that appear when
energy is transported: the closer the consumption points
are to the production points, the lower this loss will be.
The second reason is related to the cooling of electronic
devices: air-cooling represents an important share of the
energy expenditure in data centers and cold climates may
lessen this dependency.
21. Google displaced their server farms to the banks
of the Columbia River to take advantage of the
energy offered by the hydroelectric power plants
nearby.
The water flow provided by the river may in
addition be used within the cooling systems, as
experimented by Google, even though this may
lead to other environmental issues such as
seaweed proliferation if the water temperature
increases too much.
22. An alternative cooling system, investigated by
Microsoft in the InTent and Marlow projects
consists in leaving servers in the open air so that
heating dissipates more easily.
Canada advanced research and innovation
network (CANARIE) is strongly pushing in this
direction, especially using virtualization to ease
service geographical delocalization driven by the
energy source availability.
23. Green networking may be better seen as
“ a way to reduce energy required to
carry out a given task while maintaining the
same level of performance ”.
24. Green Networking covers all aspects of the network (personal
computers, peripherals, switches, routers, and communication
media).
Energy efficiencies of all network components must be optimized
to have a significant impact on the overall energy consumption by
these components.
Consequently, these efficiencies gained by having a Green
Network will reduce CO2 emissions and thus will help mitigate
global warming.
New ICT technologies must be explored and the benefits of these
technologies must be assessed in terms of energy efficiencies and
their associated benefits in minimizing the environmental impact
of ICT.
25. Reduction of energy consumption.
Improvement of energy efficiency.
Consideration of the environmental impact of network components from
design to end of use.
Integration of network infrastructure and network services; this
integration consolidates traditional different networks into one network.
Making the network more intelligent; the intelligent network will be
more responsive, requiring less power to operate.
Compliance with regulatory reporting requirements.
Promotion of a cultural shift in thinking about how we can reduce carbon
emissions.
26. Desktop computers and monitors consume 39% of all electrical power used in
ICT. In 2002, this equated to 220 Mt (millions tons of CO2 emission).
27. Old Cathode RayTube monitors should be replaced with
Liquid Crystal Display screens which reduce monitor
energy consumption by as much as 80%.
Replacing all desktop PCs with laptops would achieve a
90% decrease in power consumption.
Energy can also be saved by using power saving software
installed on desktops and running all the time.The power
saving software controls force PCs to go into standby
when not in use.
Another option is to use solid state hard drives that use
50% less power than mechanical hard drives.
28. Modern network switches perform various network
infrastructure tasks and as a result use considerable
power.
PoE (Power over Ethernet) is a relative new technology
introduced into modern network switches. PoE switch
ports provide power for network devices as well as
transmit data.
PoE switch ports are used by IP phones, wireless LAN
access points, and other network attached equipment.
PoE switch port can provide power to a connected device
and can scale back power when not required.
29. One solution is to use a highly efficient power
supply within the network switch. By using a
highly efficient power supply we can save up to
800W.
Another solution is to use power management
software built into the network switch.With
power management software, we can instruct
the network switch to turn off ports when not in
use.
30. The main issue with Data Centers, with respect to Green
Networking, is their inefficient use of electrical power by the Data
Center components. In addition, electrical power generation from
coal becomes a critical issue.
Data centers store a vast amount of data used on a daily basis by
users, companies, government, and academia. As the demand for
data has increased so has the size of Data Centers.
Consequently, the power consumed has also increased. In 2003, a
typical Data Center consumed about 40Watts per square foot
energy, and in 2005 this figure has been raised to 120 Watts/sq ft
energy and it is anticipated that this figure will continue to rise.
31.
32. Due to the high power consumption by Data Centers, there are
some proposed solutions to save energy and make Data Centers
more energy efficient. Some of the solutions include :
Taking the Data Center to the power source instead of taking the
power source to the DataCenter
Consolidation and virtualization
Improved server and storage performances, power management
High efficiency power supplies
Improved data center design.
33. Traditionally the electrical power needed for Data Centers
is supplied by the electricity grid. Using alternate energy
sources at the Data Center is often impractical.
The solution is to take the Data Center to the energy
source.The energy source could be solar, wind,
geothermal, or some combination of these alternate
forms of energy.
Instead of the power traveling great distances, the data
would need to travel great distances. For this to be
feasible, we would require a broadband network
infrastructure.
34. The vision of a Green Network is one where we can all have
thin clients using low energy consumption, connected via
wireless to the Internet, where all our data is securely stored
in highly efficient, reliable Data Centers typically running
at low energy per Gigabit per second speed.This can also include
access to network services from Cloud computing service
providers.
Whatever the future is, Green Networking will help reduce the
carbon footprint of the ICT industry and hopefully lead the way in
a cultural shift that all of us need to make if we are to reverse the
global warming caused by human emissions of greenhouse gases.
Finally, the issue of Efficiency versus Consumption is an interesting
argument, that is, efficiency drives consumption. ICT solutions can
solve efficiency; it is society that must solve consumption.
35. To enable a “Green Network”, we must be able to monitor and
measure the savings associated with our green networking
strategies in place.
A network energy efficiency baseline must be established from
which we can measure improvements and compare them with the
baseline.
We must look at ways to develop meaningful measurements to
measure such power savings.
In a low carbon “Green Networking” environment, instead of
considering bits per second (bps) we might need to consider
watts/bit to measure energy inefficiencies or perhaps a better
indicator would be bits per CO2 (b/co2).