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Sekarang jam 2:01 PG di sini
Menyertai April 27, 2020
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Akanbi O.

@trustedservice12

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 5.0 (4 ulasan)
2.4
2.4
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$20 USD / jam
Bendera NIGERIA
minna, nigeria
$20 USD / jam
100%
Pekerjaan Disiapkan
100%
Mengikut Bajet
100%
Tepat Pada Masa
13%
Kadar Upah Semula

ARTICLE, RESEARCH, WRITING, MATLAB, DATABASE

I work as an individual – self-motivated, dedicated and well-disciplined. Choosing me as a performer of your project, you choose the confidence in professional approach for your task. My typing speed is 150WPM with 100% accuracy. I am creative and result driven professional computer engineer, specialists in computer repair and maintenance, diagnosis and troubleshooting of computer system, programming of microprocessor and microcontrollers, robotics, GSM programming, security system, computer networking, MATLAB, content writer, academic writing, research writing. I have had 5 years of working experience both in GOVERNEMNT and private sectors. I had good working experience on both hardware and software programming, architecture of computer system, I have adequate skills on control system engineering, engineering design, PCB layout, expert system, neural network and artificial intelligence, I have a good University Degree. I study Electrical and Computer Engineering and graduate with second Class Upper Degree. Possess ISO 2008 certified in embedded system engineering. Won a scholarship award in TOTAL Petroleum Company in Nigeria. Director of project in Federal University of Technology Minna, Niger State, Nigeria. I work fast and meticulously. My most important skill is attention to detail. This helps to provide the result of the highest quality within the discussed time-frame. I employ excellent research skills to make your articles factual and plagiarism free. ✓ Why should you choose me? Because I'm able to create a perfect content for your business. I will consider all your wishes and I will provide answers to all questions. Providing useful and meaningful service to customers with their projects; you have a small or big project; I have the knowledge and skills to complete the assigned task and the job will be done. Self-managed and resourceful. You are guaranteed to receive excellent results because: 1) Our communication is very good. 2) Respond quickly to our clients' messages 3) Never make fake commitments 4) Client satisfaction is our main goal 5) Want long-term business relationships with our client
Freelancer Relational Databases Experts Nigeria
Lihat semua Relational Databases Experts dalam Nigeria

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Portfolio

6543974
The symmetrical component in electrical transmission and distribution uses mathematical methods to enhance the power system for a network in an unbalanced state. This is achieved using a three-phase system. This prompts the awareness of symmetric components in mathematical calculations and device failures to be essential (Stevenson and Elgerd, 1982). Errors generated from symmetrical component analysis of transmission were useful in relay operations in order to calculate the currents of a single-phase system. Hence, this makes a single-phase system to be easier in analyzing faults and less complexity than a network with 3-phases (Stagg and O-Abiad, 1968). Symmetrical components usually run in an equilibrated three-phase and steady-state sinusoidal mode. Some conditions may lead to unbalanced operations (Anderson, 1977).
Electrical Transmission and Distribution ASSIGNMENT
The symmetrical component in electrical transmission and distribution uses mathematical methods to enhance the power system for a network in an unbalanced state. This is achieved using a three-phase system. This prompts the awareness of symmetric components in mathematical calculations and device failures to be essential (Stevenson and Elgerd, 1982). Errors generated from symmetrical component analysis of transmission were useful in relay operations in order to calculate the currents of a single-phase system. Hence, this makes a single-phase system to be easier in analyzing faults and less complexity than a network with 3-phases (Stagg and O-Abiad, 1968). Symmetrical components usually run in an equilibrated three-phase and steady-state sinusoidal mode. Some conditions may lead to unbalanced operations (Anderson, 1977).
Electrical Transmission and Distribution ASSIGNMENT
The symmetrical component in electrical transmission and distribution uses mathematical methods to enhance the power system for a network in an unbalanced state. This is achieved using a three-phase system. This prompts the awareness of symmetric components in mathematical calculations and device failures to be essential (Stevenson and Elgerd, 1982). Errors generated from symmetrical component analysis of transmission were useful in relay operations in order to calculate the currents of a single-phase system. Hence, this makes a single-phase system to be easier in analyzing faults and less complexity than a network with 3-phases (Stagg and O-Abiad, 1968). Symmetrical components usually run in an equilibrated three-phase and steady-state sinusoidal mode. Some conditions may lead to unbalanced operations (Anderson, 1977).
Electrical Transmission and Distribution ASSIGNMENT
6543938
Power flow analysis is very important in planning stages of new networks or addition to existing ones like adding new generator sites, meeting the increase load demand and locating new transmission sites.  The load flow solution gives the nodal voltages and phase angles and hence the power injection at all the buses and power flows through interconnecting power channels.  It is helpful in determining the best location as well as the optimal capacity of proposed generating station, substation and new lines  It determines the voltage of the buses. The voltage the level at the certain buses must be kept within the closed tolerances.  System transmission loss minimizes.  Economic system operation with respect to fuel cost to generate all the power needed  The line flows can be known. The line should not be overloaded, it means, we should not operate the close to their stability or thermal limits.
POWER LOAD FLOW ANALYSIS
6543922
Handwritten signatures are considered as the most natural method of authenticating a person’s identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This research presents a method for verifying handwritten signatures by using a NN architecture. Various static (e.g., height, slant, etc.) and dynamic (e.g., velocity, pen tip pressure, etc.) signature features are extracted and used to train the NN. Several Network topologies are tested and their accuracy is compared. The resulting system performs reasonably well with an overall error rate of 3:3% being reported for the best case
DESIGN AND IMPLEMENTATION OF HANDWRITTEN RECOGNITION SYSTEM
Handwritten signatures are considered as the most natural method of authenticating a person’s identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This research presents a method for verifying handwritten signatures by using a NN architecture. Various static (e.g., height, slant, etc.) and dynamic (e.g., velocity, pen tip pressure, etc.) signature features are extracted and used to train the NN. Several Network topologies are tested and their accuracy is compared. The resulting system performs reasonably well with an overall error rate of 3:3% being reported for the best case
DESIGN AND IMPLEMENTATION OF HANDWRITTEN RECOGNITION SYSTEM
Handwritten signatures are considered as the most natural method of authenticating a person’s identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This research presents a method for verifying handwritten signatures by using a NN architecture. Various static (e.g., height, slant, etc.) and dynamic (e.g., velocity, pen tip pressure, etc.) signature features are extracted and used to train the NN. Several Network topologies are tested and their accuracy is compared. The resulting system performs reasonably well with an overall error rate of 3:3% being reported for the best case
DESIGN AND IMPLEMENTATION OF HANDWRITTEN RECOGNITION SYSTEM
Handwritten signatures are considered as the most natural method of authenticating a person’s identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This research presents a method for verifying handwritten signatures by using a NN architecture. Various static (e.g., height, slant, etc.) and dynamic (e.g., velocity, pen tip pressure, etc.) signature features are extracted and used to train the NN. Several Network topologies are tested and their accuracy is compared. The resulting system performs reasonably well with an overall error rate of 3:3% being reported for the best case
DESIGN AND IMPLEMENTATION OF HANDWRITTEN RECOGNITION SYSTEM
Handwritten signatures are considered as the most natural method of authenticating a person’s identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This research presents a method for verifying handwritten signatures by using a NN architecture. Various static (e.g., height, slant, etc.) and dynamic (e.g., velocity, pen tip pressure, etc.) signature features are extracted and used to train the NN. Several Network topologies are tested and their accuracy is compared. The resulting system performs reasonably well with an overall error rate of 3:3% being reported for the best case
DESIGN AND IMPLEMENTATION OF HANDWRITTEN RECOGNITION SYSTEM
6463339
A Cloud provider has physical machine that may hold instances of virtual machines and storage. The input sets for the formulation of the problem are as follows: • I = A set of physical machines. • J = A set of virtual machines in physical machine. • N = A set of nodes in the client network. • K = A set of web objects or content
RESOURCE ALLOCATION USING A MATHEMATICAL MODELLING LANGUAGE
A Cloud provider has physical machine that may hold instances of virtual machines and storage. The input sets for the formulation of the problem are as follows: • I = A set of physical machines. • J = A set of virtual machines in physical machine. • N = A set of nodes in the client network. • K = A set of web objects or content
RESOURCE ALLOCATION USING A MATHEMATICAL MODELLING LANGUAGE
6463244
ARTICLE ON FEMAILE PROSTITUTION
PLAGIARISED RESULT ON FEMALE PROSTITUTION
PLAGIARISED RESULT ON FEMALE PROSTITUTION
6463178
Barbecue smokers add a delicious smokey scent that always moisturizes and tends food at the same time. Slow cooking with BBQ smokers is suitable for fish, beef, vegetables or sausages. Nevertheless, most grill smokers are only for small barbecues. 1. The creation of a barbecue smoker is practically the same as a regular barbecue grill. The closing deck is designed to trap the food in smoke with a barbeque smoker. Grill smokers either directly or implicitly. The direct grill smoker is essentially a device with an aromatic wood chip and a closed cover. Chips and charcoal make smoke that cooks the food inside the smoker. This gives the food its unique taste. In direct barbecue smokers, this is the grill unit, which is similar to a direct grill smoker with one unit and a closed lid. The direct grill smoker, however, has a different recipient, the smoker unit, containing woodchips and coal. The smoke is added to the barbecue and the barbecue is wonderful.
Using Barbecue Smokers to Add Taste and Tenderness
6543974
The symmetrical component in electrical transmission and distribution uses mathematical methods to enhance the power system for a network in an unbalanced state. This is achieved using a three-phase system. This prompts the awareness of symmetric components in mathematical calculations and device failures to be essential (Stevenson and Elgerd, 1982). Errors generated from symmetrical component analysis of transmission were useful in relay operations in order to calculate the currents of a single-phase system. Hence, this makes a single-phase system to be easier in analyzing faults and less complexity than a network with 3-phases (Stagg and O-Abiad, 1968). Symmetrical components usually run in an equilibrated three-phase and steady-state sinusoidal mode. Some conditions may lead to unbalanced operations (Anderson, 1977).
Electrical Transmission and Distribution ASSIGNMENT
The symmetrical component in electrical transmission and distribution uses mathematical methods to enhance the power system for a network in an unbalanced state. This is achieved using a three-phase system. This prompts the awareness of symmetric components in mathematical calculations and device failures to be essential (Stevenson and Elgerd, 1982). Errors generated from symmetrical component analysis of transmission were useful in relay operations in order to calculate the currents of a single-phase system. Hence, this makes a single-phase system to be easier in analyzing faults and less complexity than a network with 3-phases (Stagg and O-Abiad, 1968). Symmetrical components usually run in an equilibrated three-phase and steady-state sinusoidal mode. Some conditions may lead to unbalanced operations (Anderson, 1977).
Electrical Transmission and Distribution ASSIGNMENT
The symmetrical component in electrical transmission and distribution uses mathematical methods to enhance the power system for a network in an unbalanced state. This is achieved using a three-phase system. This prompts the awareness of symmetric components in mathematical calculations and device failures to be essential (Stevenson and Elgerd, 1982). Errors generated from symmetrical component analysis of transmission were useful in relay operations in order to calculate the currents of a single-phase system. Hence, this makes a single-phase system to be easier in analyzing faults and less complexity than a network with 3-phases (Stagg and O-Abiad, 1968). Symmetrical components usually run in an equilibrated three-phase and steady-state sinusoidal mode. Some conditions may lead to unbalanced operations (Anderson, 1977).
Electrical Transmission and Distribution ASSIGNMENT
6543938
Power flow analysis is very important in planning stages of new networks or addition to existing ones like adding new generator sites, meeting the increase load demand and locating new transmission sites.  The load flow solution gives the nodal voltages and phase angles and hence the power injection at all the buses and power flows through interconnecting power channels.  It is helpful in determining the best location as well as the optimal capacity of proposed generating station, substation and new lines  It determines the voltage of the buses. The voltage the level at the certain buses must be kept within the closed tolerances.  System transmission loss minimizes.  Economic system operation with respect to fuel cost to generate all the power needed  The line flows can be known. The line should not be overloaded, it means, we should not operate the close to their stability or thermal limits.
POWER LOAD FLOW ANALYSIS
6543922
Handwritten signatures are considered as the most natural method of authenticating a person’s identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This research presents a method for verifying handwritten signatures by using a NN architecture. Various static (e.g., height, slant, etc.) and dynamic (e.g., velocity, pen tip pressure, etc.) signature features are extracted and used to train the NN. Several Network topologies are tested and their accuracy is compared. The resulting system performs reasonably well with an overall error rate of 3:3% being reported for the best case
DESIGN AND IMPLEMENTATION OF HANDWRITTEN RECOGNITION SYSTEM
Handwritten signatures are considered as the most natural method of authenticating a person’s identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This research presents a method for verifying handwritten signatures by using a NN architecture. Various static (e.g., height, slant, etc.) and dynamic (e.g., velocity, pen tip pressure, etc.) signature features are extracted and used to train the NN. Several Network topologies are tested and their accuracy is compared. The resulting system performs reasonably well with an overall error rate of 3:3% being reported for the best case
DESIGN AND IMPLEMENTATION OF HANDWRITTEN RECOGNITION SYSTEM
Handwritten signatures are considered as the most natural method of authenticating a person’s identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This research presents a method for verifying handwritten signatures by using a NN architecture. Various static (e.g., height, slant, etc.) and dynamic (e.g., velocity, pen tip pressure, etc.) signature features are extracted and used to train the NN. Several Network topologies are tested and their accuracy is compared. The resulting system performs reasonably well with an overall error rate of 3:3% being reported for the best case
DESIGN AND IMPLEMENTATION OF HANDWRITTEN RECOGNITION SYSTEM
Handwritten signatures are considered as the most natural method of authenticating a person’s identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This research presents a method for verifying handwritten signatures by using a NN architecture. Various static (e.g., height, slant, etc.) and dynamic (e.g., velocity, pen tip pressure, etc.) signature features are extracted and used to train the NN. Several Network topologies are tested and their accuracy is compared. The resulting system performs reasonably well with an overall error rate of 3:3% being reported for the best case
DESIGN AND IMPLEMENTATION OF HANDWRITTEN RECOGNITION SYSTEM
Handwritten signatures are considered as the most natural method of authenticating a person’s identity (compared to other biometric and cryptographic forms of authentication). The learning process inherent in Neural Networks (NN) can be applied to the process of verifying handwritten signatures that are electronically captured via a stylus. This research presents a method for verifying handwritten signatures by using a NN architecture. Various static (e.g., height, slant, etc.) and dynamic (e.g., velocity, pen tip pressure, etc.) signature features are extracted and used to train the NN. Several Network topologies are tested and their accuracy is compared. The resulting system performs reasonably well with an overall error rate of 3:3% being reported for the best case
DESIGN AND IMPLEMENTATION OF HANDWRITTEN RECOGNITION SYSTEM
6463339
A Cloud provider has physical machine that may hold instances of virtual machines and storage. The input sets for the formulation of the problem are as follows: • I = A set of physical machines. • J = A set of virtual machines in physical machine. • N = A set of nodes in the client network. • K = A set of web objects or content
RESOURCE ALLOCATION USING A MATHEMATICAL MODELLING LANGUAGE
A Cloud provider has physical machine that may hold instances of virtual machines and storage. The input sets for the formulation of the problem are as follows: • I = A set of physical machines. • J = A set of virtual machines in physical machine. • N = A set of nodes in the client network. • K = A set of web objects or content
RESOURCE ALLOCATION USING A MATHEMATICAL MODELLING LANGUAGE
6463244
ARTICLE ON FEMAILE PROSTITUTION
PLAGIARISED RESULT ON FEMALE PROSTITUTION
PLAGIARISED RESULT ON FEMALE PROSTITUTION
6463178
Barbecue smokers add a delicious smokey scent that always moisturizes and tends food at the same time. Slow cooking with BBQ smokers is suitable for fish, beef, vegetables or sausages. Nevertheless, most grill smokers are only for small barbecues. 1. The creation of a barbecue smoker is practically the same as a regular barbecue grill. The closing deck is designed to trap the food in smoke with a barbeque smoker. Grill smokers either directly or implicitly. The direct grill smoker is essentially a device with an aromatic wood chip and a closed cover. Chips and charcoal make smoke that cooks the food inside the smoker. This gives the food its unique taste. In direct barbecue smokers, this is the grill unit, which is similar to a direct grill smoker with one unit and a closed lid. The direct grill smoker, however, has a different recipient, the smoker unit, containing woodchips and coal. The smoke is added to the barbecue and the barbecue is wonderful.
Using Barbecue Smokers to Add Taste and Tenderness

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Pengalaman

FREELANCER WRITER AND WORK

EMBEDDEDKITS TECHNOLOGY AND PUBLISHING HOUSE
Feb 1998 - Hari ini
ACADEMIC WRITING, RESEARCH WRITING, PLAGIRIARISM, GHOST WRITING ARTICLE WRITING, SOFTWARE DEVELOPMENT, BLOGGING AND MARKETING

Pendidikan

DOCTOR IN ENGLISH STUDIES

Bradford College, United Kingdom 2015 - 2017
(2 tahun)

MASTER OF COMMUNICATION ENGINEERING

Federal University of Technology Minna, Nigeria 2010 - 2012
(2 tahun)

ELECTRONIC AND COMPUTER ENGINEERING

Columbia Southern University, United States 2005 - 2010
(5 tahun)

Kelayakan

GRAMMAR AND PARAPHRASING

UK
2017
OUTSTANDING STUDENTS IN PROOF READING OF ENGLISH

COMMUNICATION ENGINEERING

BRADFORD UNIVERSITY UNITED KINGDOM
2012
BEST MASTER STUDENT IN DIGITALCOMMUNICATION AND SIGNAL PROCESSING

BACHELOR OF ENGINEERING

COLUMBIA SOUTHERN UNIVERSITY UNITED STATE
2010
AWARD OF EXCELLENCE

Penerbitan

Using Barbecue Smokers to Add Taste and Tenderness

https://hubpages.com/food/USING-BARBECUE-SMOKERS-TO-ADD-TASTE-AND-TENDERNESS
Barbecue smokers add a delicious smokey scent that always moisturizes and tends food at the same time. Slow cooking with BBQ smokers is suitable for fish, beef, vegetables or sausages. Nevertheless, most grill smokers are only for small barbecues.

Hubungi Akanbi O. tentang pekerjaan anda

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uk_english1.png UK English 1 92%
us_eng_3.png US English 3 90%
us_eng_1.png US English 1 87%
uk_english2.png UK English 2 85%
us_eng_2.png US English 2 85%

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Relational Databases 3
Academic Achievement 3
Mobile App Development
SQL
PDF

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