Papers by Dr Waleed Al-Nuaimy
IFMBE Proceedings
Hydrocephalus is a neurological disorder whereby the cerebrospinal fluid surrounding the brain is... more Hydrocephalus is a neurological disorder whereby the cerebrospinal fluid surrounding the brain is improperly drained, causing severe pain and swelling of the head. Existing treatments rely on passive implantable shunts with differential pressure valves; these have many limitations, and lifethreatening complications often arise. In addition, the inability of such devices to autonomously and spontaneously adapt to the needs of the patients results in frequent hospital visits and shunt revisions. This paper proposes replacing the passive ...
2009 Second International Conference on Developments in eSystems Engineering, 2009
Abstract The diagnosis, treatment and management of hydrocephalus remain a challenging issue, par... more Abstract The diagnosis, treatment and management of hydrocephalus remain a challenging issue, particularly for diagnosis and prognosis of hydrocephalus, improving current shunt treatment, predicting its success and evaluating its functionality. Nowadays, diagnosis procedure depends mainly on the surgeons observation of the clinical symptoms, neuroimages and instantaneous of intracranial pressure recording. These lack accuracy in diagnosis and predicting the outcome. Dominant treatment relies on passive mechanical ...
Swimming activity of larval zebrafish after exposure to irritant chemicals and analgesia
2017 14th International Multi-Conference on Systems, Signals & Devices (SSD), 2017
Machine vision has been widely and efficiently used for various industrial applications. However,... more Machine vision has been widely and efficiently used for various industrial applications. However, in marine applications, this technology is still facing big challenges due to the free-swimming nature and unpredictable behavior of the fish. This paper presents new models for length estimation of small-size free-swimming fish objects using low-cost machine vision system. These models include two camera setups; orthogonal and stereo. In the orthogonal setup, one camera is used for measurement of the object's distance. This camera is synchronized with another orthogonally oriented one for the object's length measurement. The measured distance and length are then used to estimate the actual length of the object. In the stereo setup, however, both cameras are simultaneously used to measure the object's distance and length. Automatic calibration based on fixed object with known diameter is also considered in this study to measure the real value of object's length. In particular, for short camera distance, the effect of light refraction is assumed to be negligible therefore; a linear relationship is adopted to estimate actual object's length for stereo setup. This approximation is assessed experimentally and the measurement error in the object's length is found to be within the range of ± 1%.
2017 14th International Multi-Conference on Systems, Signals & Devices (SSD), 2017
Machine vision has been widely and efficiently used for various industrial applications. However,... more Machine vision has been widely and efficiently used for various industrial applications. However, in marine applications, this technology is still facing big challenges due to the free-swimming nature and unpredictable behavior of the fish. This paper presents new models for length estimation of small-size free-swimming fish objects using low-cost machine vision system. These models include two camera setups; orthogonal and stereo. In the orthogonal setup, one camera is used for measurement of the object's distance. This camera is synchronized with another orthogonally oriented one for the object's length measurement. The measured distance and length are then used to estimate the actual length of the object. In the stereo setup, however, both cameras are simultaneously used to measure the object's distance and length. Automatic calibration based on fixed object with known diameter is also considered in this study to measure the real value of object's length. In particular, for short camera distance, the effect of light refraction is assumed to be negligible therefore; a linear relationship is adopted to estimate actual object's length for stereo setup. This approximation is assessed experimentally and the measurement error in the object's length is found to be within the range of ± 1%.
2018 9th International Conference on Information and Communication Systems (ICICS), 2018
The productivity of the zebrafish breeding is a fundamental information to aquaculture research. ... more The productivity of the zebrafish breeding is a fundamental information to aquaculture research. Finding the number of produced eggs after every mating process is typically carried out manually by picking the eggs out of the petri dish individually using a pipette and counting them. The manual process is a tedious work and error prone where the petri dish often contain hundreds of eggs. This paper proposes a novel and accurate system for detecting and counting the number of live eggs inside a petri dish that may contain hundreds of eggs either dead or live with other type of objects. This system starts by capturing image for the petri dish then analyzing this image to classify and count the live and dead eggs using several image processing operations and depending on the colour and shape features. This system help the scientists in their experiments instead of using the microscope and count the eggs manually, this system provides them with this information with a lower cost tool and faster than the manual process.
2018 9th International Conference on Information and Communication Systems (ICICS), 2018
The productivity of the zebrafish breeding is a fundamental information to aquaculture research. ... more The productivity of the zebrafish breeding is a fundamental information to aquaculture research. Finding the number of produced eggs after every mating process is typically carried out manually by picking the eggs out of the petri dish individually using a pipette and counting them. The manual process is a tedious work and error prone where the petri dish often contain hundreds of eggs. This paper proposes a novel and accurate system for detecting and counting the number of live eggs inside a petri dish that may contain hundreds of eggs either dead or live with other type of objects. This system starts by capturing image for the petri dish then analyzing this image to classify and count the live and dead eggs using several image processing operations and depending on the colour and shape features. This system help the scientists in their experiments instead of using the microscope and count the eggs manually, this system provides them with this information with a lower cost tool and faster than the manual process.
2018 9th International Conference on Information and Communication Systems (ICICS), 2018
The productivity of the zebrafish breeding is a fundamental information to aquaculture research. ... more The productivity of the zebrafish breeding is a fundamental information to aquaculture research. Finding the number of produced eggs after every mating process is typically carried out manually by picking the eggs out of the petri dish individually using a pipette and counting them. The manual process is a tedious work and error prone where the petri dish often contain hundreds of eggs. This paper proposes a novel and accurate system for detecting and counting the number of live eggs inside a petri dish that may contain hundreds of eggs either dead or live with other type of objects. This system starts by capturing image for the petri dish then analyzing this image to classify and count the live and dead eggs using several image processing operations and depending on the colour and shape features. This system help the scientists in their experiments instead of using the microscope and count the eggs manually, this system provides them with this information with a lower cost tool and faster than the manual process.
2017 10th International Conference on Developments in eSystems Engineering (DeSE), 2017
Zebrafish (Danio rerio) has been gaining an enormous attention, as a promising model organism, in... more Zebrafish (Danio rerio) has been gaining an enormous attention, as a promising model organism, in studies relevant to human diseases, drug tests, and other studies. However, behavior studies of this fish, using computer vision, is still challenging due to its small size, and fast and unpredictable movement. This paper proposed a new stereovision system for 3D tracking of free-swimming zebrafish. The proposed system that comprises two fixed cameras takes two images separated by a baseline. Centroids of the target to be tracked at both images are identified and used to extract the third coordinate of the 3D model using simple triangulation to derive the target's depth. Validity of the derived stereo model is assessed experimentally and compared to an existing orthogonal model. Performance of the developed stereovision system that is assessed experimentally demonstrated high correlation (82%) with that of an orthogonal vision system but with a significant reduction in the complexity of the system setup as well as less space requirement for experimentation.
With the rapid increase in the speed and density of global rail traffic, there is growing demand ... more With the rapid increase in the speed and density of global rail traffic, there is growing demand by governments and the rail industry for reliable and automated rail track inspection systems. This paper presents a brief overview of recent advances in ultrasonic non-destructive testing technologies that may be applied to rail track inspection. These techniques are described and their relative merits and drawbacks are highlighted and compared. The comparison indicates that no single ultrasonic technique can be used alone for comprehensive rail track inspection, and the combination of two or more techniques is required to achieve the required levels of accuracy and reliability. 1. Introduction In the last few years, there has been tragic loss of life in train derailment accidents across Europe. A major cause of train derailments is defects within the rail track, which may lead to breakage of the track under the stress of a high-speed train. Most of these accidents could have been preve...
Computation, 2021
Identifying human face shape and eye attributes is the first and most vital process before applyi... more Identifying human face shape and eye attributes is the first and most vital process before applying for the right hairstyle and eyelashes extension. The aim of this research work includes the development of a decision support program to constitute an aid system that analyses eye and face features automatically based on the image taken from a user. The system suggests a suitable recommendation of eyelashes type and hairstyle based on the automatic reported users’ eye and face features. To achieve the aim, we develop a multi-model system comprising three separate models; each model targeted a different task, including; face shape classification, eye attribute identification and gender detection model. Face shape classification system has been designed based on the development of a hybrid framework of handcrafting and learned feature. Eye attributes have been identified by exploiting the geometrical eye measurements using the detected eye landmarks. Gender identification system has bee...
2017 10th International Conference on Developments in eSystems Engineering (DeSE), 2017
Zebrafish (Danio rerio) has been gaining an enormous attention, as a promising model organism, in... more Zebrafish (Danio rerio) has been gaining an enormous attention, as a promising model organism, in studies relevant to human diseases, drug tests, and other studies. However, behavior studies of this fish, using computer vision, is still challenging due to its small size, and fast and unpredictable movement. This paper proposed a new stereovision system for 3D tracking of free-swimming zebrafish. The proposed system that comprises two fixed cameras takes two images separated by a baseline. Centroids of the target to be tracked at both images are identified and used to extract the third coordinate of the 3D model using simple triangulation to derive the target's depth. Validity of the derived stereo model is assessed experimentally and compared to an existing orthogonal model. Performance of the developed stereovision system that is assessed experimentally demonstrated high correlation (82%) with that of an orthogonal vision system but with a significant reduction in the complexity of the system setup as well as less space requirement for experimentation.
2017 8th International Conference on Information Technology (ICIT), 2017
Biologists and pharmacologists commonly use zebrafish embryos during the testing of drugs. The te... more Biologists and pharmacologists commonly use zebrafish embryos during the testing of drugs. The testing of these substances is a tedious and painstaking process, carried out manually by trained experts who determine whether the embryos have been deformed or killed as a result of administering the chemical. This paper proposes a novel automatic system for the detection and classification of abnormal curvature of the zebrafish larvae tail (up or down) using a number of geometric features. The most important part of this system is the feature extraction technique, which is done depending on the shape of the tail by applying several arithmetic equations. The proposed system also addresses the orientation problem of the embryos, is part of a larger system for the classification of multiple classes of malformations, and demonstrated a high performance compared to published automated techniques.
2016 9th International Conference on Developments in eSystems Engineering (DeSE), 2016
The shift to delivering mobile healthcare services is inevitable. However, finding effective ways... more The shift to delivering mobile healthcare services is inevitable. However, finding effective ways to protect personal health information handled by these systems is still a challenging task even with the utilization of advanced technology and trained professionals. This is mainly due to the fact that the peripheral defense on the Internet and web-based applications do not handle the root causes of the application's vulnerabilities. This paper proposes a solution for enhancing security and personal privacy in mobile health (mHealth) systems through embedding security schemes into Software-Development Lifecycle (SDLC). The proposed solution, which encompasses various healthcare-specific security needs in mobile health systems, aims at ensuring a balance between personal privacy through making sure that patients have control over their own information from one side and information sharing that is necessary for integrated service delivery from the other side. This balance is achieve...
2017 10th International Conference on Developments in eSystems Engineering (DeSE), 2017
Cloud manufacturing (CMfg) is a service-oriented platform that enables engineers to use the manuf... more Cloud manufacturing (CMfg) is a service-oriented platform that enables engineers to use the manufacturing capacity in the form of cloud-based services that aggregated in service pools on demand. In CMfg, the integration of manufacturing resources across different areas and industries is accomplished using cloud services. In recent years, the interest in cloud manufacturing service composition has grown, due to its importance in different manufacturing applications. When no single service is capable of satisfying the need for a manufacturing service requester, the service combination may be useful in order to fulfill the purpose of the manufacturing service requester. Therefore, the problem of how efficient and effective interconnection of cloud manufactring services has come to fetch many research fields. In this paper, a new algorithm is presented using an ant colony optimization for the problem of cloud manufacturing service composition considering the quality of service.
Computation, 2021
Identifying human face shape and eye attributes is the first and most vital process before applyi... more Identifying human face shape and eye attributes is the first and most vital process before applying for the right hairstyle and eyelashes extension. The aim of this research work includes the development of a decision support program to constitute an aid system that analyses eye and face features automatically based on the image taken from a user. The system suggests a suitable recommendation of eyelashes type and hairstyle based on the automatic reported users’ eye and face features. To achieve the aim, we develop a multi-model system comprising three separate models; each model targeted a different task, including; face shape classification, eye attribute identification and gender detection model. Face shape classification system has been designed based on the development of a hybrid framework of handcrafting and learned feature. Eye attributes have been identified by exploiting the geometrical eye measurements using the detected eye landmarks. Gender identification system has bee...
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Papers by Dr Waleed Al-Nuaimy