Rustom Mamlook

Al Dar University College · Engineering - School of Engineering Technology

Technology Transfer (TT) viewed as a key element in the response to climate change risks to improve the smart city requirements. The UNFCC includes the transfer of Environmentally Sound Technologies (ESTs) as part of North–South collaboration. Besides, the UNFCC defines specific measures to support technology transfer between industrial and develop...

The Gulf Cooperation Council (GCC) nations which includes six states; i.e., United Arab Emirates, Bahrain, Saudi Arabia, Oman, Qatar and Kuwait, are embarking on a transformative vision to align their economies with knowledge economy and sustainable development goals (SDGs) for 2030. This transition implies a change in the strategy, business cultur...

Published by American Journals Publishing Center, USA (Website: https://www.american-journals.com/americanjournals). The goal of the paper is to explore how to realize a mobile city guide using the Android Innovation platform, including a prototype of the city guide. The project in our paper consists of entire details of those locations or how to r...

This paper aims to review the role of smart city innovation for sustainable infrastructure in Bahrain. It studies people’s perception and awareness about the smart city. The paper articulates the imperatives for harnessing Information and Communication Technology (ICT) for smart infrastructure. The Gulf Cooperation Council (GCC) countries (Bahrain...

Exploring a suitable methodology for measuring SME's innovation is critical to managing and directing economic growth. The Middle East countries such as Gulf Cooperation Counsels GCC embarked on finding an innovative methodology to support economic sustainability and prosperity transformations, which has led to a rise in the services sector fields...

Utility meter reading is a labor-intensive task and million hours of time is wasted in going door to door for performing simple task such as reading a utility bill. The old analog meters for water and electricity consumption do not have the ability to render the information over digital channels. In this paper, we implemented a way in which an anal...

The invention of the car was one of the most important inventions in the life of humankind. The invention opened the way for people to roam quickly and easily and to transport the goods easily over long distances that were previously required for many months to transport them. The invention of the car was not easy because it was the result of many...

In the Internet of Things (IoT), multiple communication protocols are used to connect the smart device. Wi-Fi, Xbee, ZigBee, Bluetooth, and LoRaWAN are some of the communication channels utilized for connectivity by devices using some IoT platform. In order to enable the development of smart services for IoT platforms, there are solutions by differ...

Fog computing enables processing at the edge, while still offering the possibility to interact with the cloud. The massive amounts of data produced from connected applications, as well as the latency-critical issue have motivated researchers to adopt fog computing technology. Development of an effective and reliable traffic system has always been a...

Abstract - Fog computing enables processing at the edge, while still offering the possibility to interact with the cloud. The massive amounts of data produced from connected applications, as well as the latency-critical issue have motivated researchers to adopt fog computing technology. Development of an effective and reliable traffic system has al...

independent.academia.edu: https://independent.academia.edu/ProfessorRustomMamlook

Acrylamide and pure water exist as a higher level in different types of food, such as potato chips, French fries and bread. Solution of water and acrylamide is a toxin that can potentially occur in high concentrations in heated starchy foods especially potato products such as crisps and French fries. Advance mathematical model systems isotopic subs...

Having intelligent home which uses renewable energy sources and utilizes energy for each device is what we aspire. Such kind of homes need remotely controlled interfaces. The system is mainly focussed towards actively saving electricity consumption and having the control over a home when the consumer is away by employing smart systems as well as by...

Acrylamide and pure water exist as a higher level in different types of food, such as potato chips, French fries and bread. Solution of water and acrylamide is a toxin that can potentially occur in high concentrations in heated starchy foods especially potato products such as crisps and French fries. Advance mathematical model systems isotopic subs...

For many consumers there are loads which need to be on for a subinterval between two time instants, but it is immaterial during which subinterval it is run. In many price based Demand Response (DR) programs such as Time of Use (TOU), Critical Peak Pricing (CPP), Extreme Day Pricing customers are informed about the prices on a day ahead bases. By sc...

The aim of this research is to utilize a fuzzy control algorithm of the sun tracker and the developed computer capabilities to improve the efficiency of tracking. Water distillation yield is predicted to score high percentage output of distillate due to the high temperature. Also the high sunny hours about 9-12 hours per day. The present study may...

The aim of this research is to utilize a fuzzy control algorithm of the sun tracker and the developed computer capabilities to improve the efficiency of tracking. Water distillation yield is predicted to score high percentage output of distillate due to the high temperature. Also the high sunny hours about 9-12 hours per day. The present study may...

Acrylamide and pure water exist as a higher level in different types of food, such as potato chips, French fries and bread. Solution of water and acrylamide is a toxin that can potentially occur in high concentrations in heated starchy foods especially potato products such as crisps and French fries. Advance mathematical model systems isotopic subs...

Provision of data to intelligent systems, for decision making, by making use of World Wide Web is one of the most promising areas of research in Artificial Intelligence. When a task is given to an intelligent system, its solution is unknown. It is the job of Artificial Intelligent (AI) systems to find the best solution based on the information avai...

In order to improve the performance of the gas turbine power plant and to generate electricity at the best cost, a fuzzy logic controller model was used to show the effect of different parameters on the power generation output of gas turbines. The proposed methodology was applied to certain parameter values collected from Rehab power station in Jor...

Knowledge propagation is the challenge. Better society requires best knowledge management practices and use of latest tools and technologies. Knowledge management is dealing with the problem of different languages in big countries. Also knowledge is present in different forms. It may be knowledge encoded in laws, decrees, standards, policies, rules...

The rapid expansion of the use of solar energy power plants worldwide is a subject that is being followed with interest. Fuzzy logic methodology is used for evaluating the solar thermal power technology, it compresses huge amount of data into smaller sets, and it has the ability to decide between different solar technologies on the basis of their b...

Knowledge propagation is the challenge. Better society requires best knowledge management practices and use of latest tools and technologies. Knowledge management is dealing with the problem of different languages in big countries. Also knowledge is present in different forms. It may be knowledge encoded in laws, decrees, standards, policies, rules...

Jordan is considered one of the sun-belt countries, which possesses high solar radiation on its horizontal surface. The present study will be concerned on the uses of fuzzy sets methodology to perform evaluation between the most suitable solar technologies for power generation in Jordan, namely, solar ponds and photovoltaic (PV) technologies. The c...

This paper is concerned with the short-term load forecasting (STLF) in power system operations. It provides load prediction for generation scheduling and unit commitment decisions, and therefore precise load forecasting plays an important role in reducing the generation cost and the spinning reserve capacity. Short-term electricity demand forecasti...

In this study, the factors (i.e. weight fractions, crystallization temperatures and interaction such as hydrogen bonding) affecting melting, crystallinity, interaction parameters and miscibility of polymer blends (PB) have been studied by implementation of a fuzzy set. The interaction parameters were calculated using the Nishi-Wang equation, which...

Multiple-effect (ME) distillation was the first process used to desalt a significant amount of seawater. This process takes place in a series of effects (stages) and uses the principle of reducing the ambient pressure in the various stages in order of their arrangement. In this work, a fuzzy logic is used to evaluate the factors affecting the ME di...

Jordan is considered one of the sun-belt countries, which possesses high solar radiation on its horizontal surface. The present study will be concerned on the uses of fuzzy sets methodology to perform evaluation between the most suitable solar technologies for power generation in Jordan, namely, solar ponds and photovoltaic (PV) technologies. The c...

An overview on various ballast water treatment (BWT) technologies aboard different types of ships is presented. These technologies are: (1) Filtration, (2) Cyclonic systems, (3) Heat treatment, (4) Chemical treatment, (5) Ultraviolet radiation, (6) Ultrasound, (7) Electroporation, and (8) Radiolysis. These technologies are proven technologies for B...

The process of solar distillation is used worldwide for arid communities that do not have access to potable water. In the present study an attempt has been made to find out the effect of different parameters on the solar still output using a fuzzy set technique. The proposed methodology was applied to a case study in solar distillation system for v...

This study presented Fuzzy Logic Methodology for Evaluating Alternatives (FLMEA) to compare between different power production systems. The FLMEA enabled us to condense large amount of data into a smaller set of fuzzy variable rules. Also FLMEA method used minimum and maximum operations which are easier and faster than average and sum operations th...

This study describes a system that uses the Programmable Logic Controller (PLC) to control the motion of a two-axis sun-tracking surfaces. The present study was conducted to monitor the performance of system and measure long-term values of global solar radiation on moving surfaces in Amman, Jordan. Results are compared with those on a fixed surface...

In this field investigation, a new approach for evaluating energy conservation and awareness programs within residential consumers is presented and discussed. It is based on expert computer knowledge-based systems and fuzzy set analyses. Computer-programmed surveys were carried out on a random sample of energy users in Jordan, such as students, hou...

This paper aims to propose a methodology for detecting problems in environmental and infrastructure systems using a fuzzy set technique. The proposed methodology was applied to a case study in water distribution systems for validation. Relative weights for three scenarios of leak detection were used, i.e. leakage, possible leakage, and no leakage....

This paper aims to devise a new methodology for evaluating water conservation programs based on expert computer knowledge-based systems and fuzzy set analyses. Computer-programmed surveys were carried out on a random sample of water users in Amman City, Jordan, before and after they received water educational material. Relative weights were given f...

A Fuzzy logic architecture that can be used to classify ECG is presented. It uses a feature extractor to characterize the heart electrical axis before being classified by a Fuzzy Logic Network . Obtained results indicate that Fuzzy logic may accurately classify most of the ECG beats, therefore can be used as a diagnostic tool for heart disease.

This paper uses fuzzy set methodology to perform the comparison between different solar systems for various applications. The aim of the paper is to determine the order in which solar systems should be given higher priority to be used in Jordan. The systems considered are solar distillation, solar water heating, solar space heating and ventilation,...

This paper uses neuro-fuzzy programming to perform a comparison between the different electricity power generation options for Jordan. Different systems are considered: in addition to fossil fuel power plants, nuclear, solar, wind, and hydropower systems are evaluated. Based on cost-to-benefit ratios, results show that solar, wind, and hydropower a...

independent.academia.edu: https://independent.academia.edu/ProfessorRustomMamlook

Solar radiation data computerly measured at Amman, Jordan was used to verify the performance accuracy of two models for estimation of global radiation on tilted surfaces. The measurements used in this study were the daily totals of global radiation on a horizontal surface, diffuse radiation on a horizontal surface and global radiation on a 45° tilt...

This paper uses analytical hierarchy process (AHP) methodology to perform a comparison between the different electricity power production options in Jordan. The systems which were considered, in addition to fossil fuel power plants, are nuclear, solar, wind, and hydro-power. Results on cost-to-benefit ratios show that solar, wind, end hydro-power m...

A methodology for the reduction of complexity of the fuzzy if-then rules for a robust controller system is presented. An analysis of the fuzzy if-then rules is performed by viewing the fuzzy sets in the rules as crisp sets. The knowledge of the analysis is used to reduce the number of variables and the number of fuzzy if-then rules. By applying fuz...

A fuzzy logic clustering algorithm to classify a given image into targets and backgrounds is presented. The algorithm forms clusters and is trained without supervision. The clustering is done on the basis of the statistical properties of the set of inputs. The algorithm features an adaptive mechanism for selecting the number of clusters, and it fea...

A self-organizing k-means algorithm to classify the inputs (data) into classes is presented. This algorithm provides solutions to the problems that the k-means classification algorithm faces. The k-means classification algorithm has the problem of selecting the threshold(s). It also requires that the number of classes be known a priori. This algori...

A self-organizing multisensor fusion algorithm to classify the inputs (data or images) into classes (targets, backgrounds) is presented. The algorithm forms clusters and is trained without supervision. The clustering is done on the basis of the statistical properties of the set of inputs. The algorithm is a self-organizing algorithm, since it has t...

Multiple-class identification algorithm using genetic neural networks is presented. The algorithm uses a feedforward neural network so it is fast. The algorithm uses the Kohonen network to provide an unsupervised learning. The Kohonen network is used with Z-axis normalization. The weight initialization is done by genetic optimization to escape from...

A system classification algorithm to classify an image into targets and backgrounds is presented. The algorithm uses a double window filter in which the inner window surrounds the predicted target(s), and the outer window contains the predicted background(s). A solution to the problem of threshold selection is given. An example is given to illustra...

A new data clustering algorithm using a self organizing method is presented. This algorithm forms clusters and is trained without supervision. The clustering is done on the basis of the statistical properties of the set of data. This algorithm differs from the K-means algorithm and other clustering algorithms in that the number of desired clusters...

A multi-target and multi-background classification algorithm using neural networks is presented. The algorithm uses a feedforward neural network algorithm, a double window filter, and thresholds to classify an image into targets and backgrounds. This algorithm's performance differs from that of the K-nearest neighbor (K-NN) classifier algorithm in...

A methodology for the reduction of complexity of fuzzy if-then rules for a robust controller is presented. An analysis of the fuzzy if-then rules is performed by viewing the fuzzy sets in the rules as crisp sets. The knowledge of the analysis is used to reduce the number of variables and the number of fuzzy if-then rules. By applying fuzzy logic to...

Typescript (photocopy). Thesis (Ph. D.)--New Mexico State University, 1992. Includes vita. Includes bibliographical references (leaves 85-93).

The utilization of wind energy for power generation purposes is becoming increasingly attractive and gaining a great share in the electrical power production market worldwide. In the present study, a mathematical model is developed to study the parameters that affect the electrical power generated by the wind turbines. The considered parameters are...

A modern identification algorithm to reduce the complexity of estimating parameters for discrete time-invariant linear systems and nonlinear systems is presented. The algorithm requires no a priori knowledge of the input or of the order of the system. An identification unbiased estimator method is presented which reduces the computational complexit...