Shannon capacity theorem in which you will learn about the channel capacity with the bandwidth of the channel and SNR. The theorem states that for a given communication channel with a certain bandwidth and SNR, there exits a maximum achievable data rate, called the channel capacity.
an iot based smart solution for leaf disease detectionCloudTechnologies
an io t based smart solution for leaf disease detection
Cloud Technologies providing Complete Solution for all
AcademicProjects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Office:- 040-66411811
Email ID: cloudtechnologiesprojects@gmail.com
Shannon capacity theorem in which you will learn about the channel capacity with the bandwidth of the channel and SNR. The theorem states that for a given communication channel with a certain bandwidth and SNR, there exits a maximum achievable data rate, called the channel capacity.
an iot based smart solution for leaf disease detectionCloudTechnologies
an io t based smart solution for leaf disease detection
Cloud Technologies providing Complete Solution for all
AcademicProjects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Office:- 040-66411811
Email ID: cloudtechnologiesprojects@gmail.com
ECE Projects for Final Year, Embedded Projects in Bangalore, Engineering Projects in Bangalore, Final Year Projects in Vijayanagar, ECE projects in Vijayanagar, Embedded Project institute in Vijayanagar
This presentation gives a brief over view of Embedded Systems. It describes the common characteristics of Embedded systems, the design metrics, processor technologies and also summarizes differences between Microcontrollers and Microprocessors.
This is a mini project based on the agricultural system which differs from traditional agricultural system as it is directed by the IOT devices. Some relevant information of conventional system were also discussed to differentiate between both the systems.
One of the most important aspect of Wireless Sensor Networks is Monitoring the content of moisture in the soil, temperature and humidity with the help of Zigbee.
Internet of Things (IoT) conceptualizes the idea of remotely connecting and monitoring real world objects (things) through the Internet [1]. When it comes to our house, this concept can be aptly incorporated to make it smarter, safer and automated. This IoT project focuses on building a smart wireless home security system which sends alerts to the owner by using Internet in case of any trespass and raises an alarm optionally. Besides, the same can also be utilized for home automation by making use of the same set of sensors. The leverage obtained by prefering this system over the similar kinds of existing systems is that the alerts and the status sent by the wifi connected microcontroller managed system can be received by the user on his phone from any distance irrespective of whether his mobile phone is connected to the internet. The microcontroller used in the current prototype is the TI-CC3200 Launchpad board which comes with an embedded micro-controller and an onboard Wi-Fi shield making use of which all the elctrical appliances inside the home can be controlled and managed.
Automatic plant monitoring system have recently attracted tremendous interest due to the potential application in emerging technology. More importantly, this technique have improved and may be used to enhance the performance of existing techniques or to develop and design new techniques for the growth of plants . This project will shows the new source for watering the plants in the farms which is reducing the man power . This system will ensure that plants will be monitered without direct influence of men. For designing this system electronic devices like arduino ,sensors (pressure ,soil moisture) and servo , relay , display are used . we mainly introduced automatic watering of plants which shows much efficiency for watering plants compared to other techniques used which facilitates more effective multi-type harvesting the farms and clarifies a mechanism for realizing multi-functional practices in farms using electronic devices.
Index
Applications of Control System
Definition of Control System
Open Loop Control System
Applications of Open Loop Control System
Close Loop Control System
Applications of Close Loop Control System
Fuzzy logic is often heralded as a technique for handling problems with large amounts of vagueness or uncertainty. Since its inception in 1965 it has grown from an obscure mathematical idea to a technique used in a wide variety of applications from cooking rice to controlling diesel engines on an ocean liner.
This talk will give a layman's introduction to the topic and explore some of the real world applications in control and human decision making. Examples might include household appliances, control of large industrial plant, and health monitoring systems for the elderly. We will look at where the field might be going over the next ten years, highlighting areas where DMU's specialist expertise drives the way.
ECE Projects for Final Year, Embedded Projects in Bangalore, Engineering Projects in Bangalore, Final Year Projects in Vijayanagar, ECE projects in Vijayanagar, Embedded Project institute in Vijayanagar
This presentation gives a brief over view of Embedded Systems. It describes the common characteristics of Embedded systems, the design metrics, processor technologies and also summarizes differences between Microcontrollers and Microprocessors.
This is a mini project based on the agricultural system which differs from traditional agricultural system as it is directed by the IOT devices. Some relevant information of conventional system were also discussed to differentiate between both the systems.
One of the most important aspect of Wireless Sensor Networks is Monitoring the content of moisture in the soil, temperature and humidity with the help of Zigbee.
Internet of Things (IoT) conceptualizes the idea of remotely connecting and monitoring real world objects (things) through the Internet [1]. When it comes to our house, this concept can be aptly incorporated to make it smarter, safer and automated. This IoT project focuses on building a smart wireless home security system which sends alerts to the owner by using Internet in case of any trespass and raises an alarm optionally. Besides, the same can also be utilized for home automation by making use of the same set of sensors. The leverage obtained by prefering this system over the similar kinds of existing systems is that the alerts and the status sent by the wifi connected microcontroller managed system can be received by the user on his phone from any distance irrespective of whether his mobile phone is connected to the internet. The microcontroller used in the current prototype is the TI-CC3200 Launchpad board which comes with an embedded micro-controller and an onboard Wi-Fi shield making use of which all the elctrical appliances inside the home can be controlled and managed.
Automatic plant monitoring system have recently attracted tremendous interest due to the potential application in emerging technology. More importantly, this technique have improved and may be used to enhance the performance of existing techniques or to develop and design new techniques for the growth of plants . This project will shows the new source for watering the plants in the farms which is reducing the man power . This system will ensure that plants will be monitered without direct influence of men. For designing this system electronic devices like arduino ,sensors (pressure ,soil moisture) and servo , relay , display are used . we mainly introduced automatic watering of plants which shows much efficiency for watering plants compared to other techniques used which facilitates more effective multi-type harvesting the farms and clarifies a mechanism for realizing multi-functional practices in farms using electronic devices.
Index
Applications of Control System
Definition of Control System
Open Loop Control System
Applications of Open Loop Control System
Close Loop Control System
Applications of Close Loop Control System
Fuzzy logic is often heralded as a technique for handling problems with large amounts of vagueness or uncertainty. Since its inception in 1965 it has grown from an obscure mathematical idea to a technique used in a wide variety of applications from cooking rice to controlling diesel engines on an ocean liner.
This talk will give a layman's introduction to the topic and explore some of the real world applications in control and human decision making. Examples might include household appliances, control of large industrial plant, and health monitoring systems for the elderly. We will look at where the field might be going over the next ten years, highlighting areas where DMU's specialist expertise drives the way.
Community detection (Поиск сообществ в графах)Kirill Rybachuk
Моя презентация по кластеризации графов, прочитанная на курсах newprolab в Digital October весной 2015 года. Назначение: ликбез по основным подходам, метрикам и алгоритмам. Также приведено кое-что из наших наработок в DCA.
This is my slide deck from my session at the North Carolina Reading Conference last week in Raleigh, NC. I do staff development to schools and districts all over the country about best practices in literacy instruction. This topic is one of my most requested.
10 Year Impact Award Presentation - Duplicate Bug Reports Considered Harmful ...Nicolas Bettenburg
Duplicate Bug Reports are widely considered harmful, adding additional burden on developers, and holding up software development processes. 10 Years ago we demonstrated that duplicate reports contain valuable additional information that helps developers get their jobs done faster and better. Thus duplicate reports should not be thrown away, but instead merged with their original reports to make that helpful information available to practitioners. This talk is a 10 year retrospective.
Ph.D. Dissertation - Studying the Impact of Developer Communication on the Qu...Nicolas Bettenburg
Software development is a largely collaborative effort, of which the actual encoding of program logic in source code is a relatively small part. Software developers have to collaborate effectively and communicate with their peers in order to avoid coordination problems. To date, little is known how developer communication during software development activities impacts the quality and evolution of a software.
In this thesis, we present and evaluate tools and techniques to recover communication data from traces of the software development activities. With this data, we study the impact of developer communication on the quality and evolution of the software through an in-depth investigation of the role of developer communication during software development activities. Through multiple case-studies on a broad spectrum of open-source software projects, we find that communication between developers stands in a direct relationship to the quality of the software. Our findings demonstrate that our models based on developer communication explain software defects as well as state-of-the art models that are based on technical information such as code and process metrics, and that social information metrics are orthogonal to these traditional metrics, leading to a more complete and integrated view on software defects. In addition, we find that communication between developers plays a important role in maintaining a healthy contribution management process, which is one of the key factors to the successful evolution of the software. Source code contributors who are part of the community surrounding open-source projects are available for limited times, and long communication times can lead to the loss of valuable contributions.
Our thesis illustrates that software development is an intricate and complex process that is strongly influenced by the social interactions between the stakeholders involved in the development activities. A traditional view based solely on technical aspects of software development such as source code size and complexity, while valuable, limits our understanding of software development activities. The research presented in this thesis consists of a first step towards gaining a more holistic view on software development activities.
Using Fuzzy Code Search to Link Code Fragments in Discussions to Source CodeNicolas Bettenburg
Talk on Using Fuzzy Code Search to Link Code Fragments in Discussions to Source Code, given at the 16th European Conference on Software Maintenance and Reengineering (CSMR'12) in Hungary.
An Empirical Study on Inconsistent Changes to Code Clones at Release LevelNicolas Bettenburg
This is a talk I gave at the 2009 Working Conference on Reverse Engineering in Lille, France about our work on the effects of inconsistent changes on software quality if we observe them at a release level.
Bug Reports are usually treated as text. This is sub-optimal, since bug reports contain many structural elements, such as stack traces, source code, patches, enumerations or screenshots, that should not be treated as natural language text. Using this structured information can be used to faciliate better research processes and automated bug fixing techniques. We propose the infoZilla tool, that can detect and extract structural elements from bug reports and display its high presicion and recall.
Talk given at ICSM 2008 Conference in Beijing, China.
Duplicate Bug reports are commonly to pollute bug reporting systems and have negative effects on a development teams' productivity. Therefore, duplicate bug reports are ignored, once identified. The findings in this research work show, that duplicate reports actually contain extra information that is not present in the original bug reports and developers can potentially benefit from this information. We conduct experiments and a case study on ECLIPSE to quantify the amount of extra information. We show that this extra information can be used to enhance techniques related to bug fixing, such as triaging.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Tata Group Dials Taiwan for Its Chipmaking Ambition in Gujarat’s DholeraAvirahi City Dholera
The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
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What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
Vat Registration is a legal obligation for businesses meeting the threshold requirement, helping companies avoid fines and ramifications. Contact now!
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Attending a job Interview for B1 and B2 Englsih learnersErika906060
It is a sample of an interview for a business english class for pre-intermediate and intermediate english students with emphasis on the speking ability.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
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7. Imagine when you
come home ...
... your front door opens on its own
... lights turn on automatically
... your fridge is filled
... the pets are already fed
7
12. Context-sensitive
• act application-specific
lighting for a party
• context triggered actions
the cake comes in
usually achieved using Machine Learning
12
13. Adaptive
• our habits change
summer vs. winter ...
• different persons have
different perceptions
male vs. female ...
usually achieved with Neural Networks
13
14. Capturing the
Environment
Time == 2pm
Month == September
Date == 21
Humidity == 35%
Luminosity == 100 lx
Location == 30.12 , 41.21, 8.51
...
we will end up with millions of rules!
14
21. invisible. It has removable floor and ceiling tiles, lots of space for equipment
and customized electrics, which allow us to reconfigure lights, wall sockets and
Example: Lighting Control System
switches as needed. A picture of the smart home is shown in figure 1.
21
22. Example: Lighting Control System
Inputs
outdoor light level
person activity
time
Outputs
ceiling light power
venetian blinds position
22
24. Example: Lighting Control System
at home
absent
1
0
0 255
Person activity
Sensor gives either 0 or 255 (binary)
24
25. Example: Lighting Control System
t1 t2 t3 t4 t5
1
...
0
-20 0 120 1440
Time
1440 minutes mapped on 50 ‘zones’
25
26. Example: Lighting Control System
on on
off off
1 1
0 0
0 255 0 255
Ceiling Blinds
Override: on/off Override: on/off
26
27. Example: Lighting Control System
quite small quite much
much
small normal
1
0
250
0 250
Output 1: Ceiling Light Power
Defuzzify using ‘Center of Gravity’
27
28. Example: Lighting Control System
down up
closed up
closed center
1
0
250
0 250
Output 2: Venetian Blinds Position
Defuzzify using ‘Center of Gravity’
28
29. event-based control.
Example: Lighting Control System
Table 1. An example of a rule table
Example Rule
Fuzzify input, map to output and defuzzify output
Table 2 shows all the possible types of rules used and the possible values
in the rule table with the used rules. In autonomous control, the override flags
of outputs on the input side are defined to be off, marked with number one.
The output states on the input side are marked with zeros, so that the state
of an output is ignored during the input aggregation. All the other values of 29
31. ... But this system can learn
its rule table without prior
knowledge!
31
32. Learning Process
Data
Fuzzification
Data
Filtering
Sensors Server
Rule Database
Update
Fuzzy
control
process
32
33. Automatic Data Gathering
• Monitor Input and Output devices
• Record their values periodically
• Reasonable Timer: 1 minute
Data
Fuzzification
Data
Filtering
Sensors Server
Rule Database
Update
Fuzzy
control
process
33
34. Data Fuzzification
• Read recorded input and output values.
• Determine membership function with
greatest degree of membership.
• Store fuzzy value for later use in learning
process.
Data
Fuzzification
Data
Filtering
Sensors Server
Rule Database
Update
Fuzzy
control
process
34
35. Data Filtering
• Search most common combinations of
inputs and outputs within a time period.
• Time period no longer than one fuzzy
time unit.
Data
Fuzzification
Data
Filtering
Sensors Server
Rule Database
Update
Fuzzy
control
process
35
36. Rule Base Updating
• Search database for input combinations
determined in previous step.
• If not found: add rule with small weight
• If found: increase/ decrease weights
• If weight becomes 0: remove
Data
Fuzzification
Data
Filtering
Sensors Server
Rule Database
Update
Fuzzy
control
process
36
37. Discussion
• System well suited for pro-active control
• Learns behavior quickly
• Needs tweaking of values and thresholds
• Timer too small: data explosion
• Timer too long: behavior not adaptive enough
37
38. Still there are many more
problems to solve...
Scale system up to hundreds of
sensors and thousands of rules?
Control Interfaces?
Interaction between
controller systems?
38
39. Research Work Covered
A.Vainio et al. : Learning and adaptive fuzzy
control system for smart home.
H.Sunghoi et al. : Adaptive Type-2 Fuzzy Logic
for Intelligent Home Environment.
Minkyoung Kim et al. : Behavior Coordination
Mechanism for Intelligent Home.
39