ahmed kandil - Profile on Academia.edu (original) (raw)

Papers by ahmed kandil

International Journal of Computer Applications, 2016

The recognition of the acute Leukemia blast cells in colored microscopic images is a challenging ... more The recognition of the acute Leukemia blast cells in colored microscopic images is a challenging task. Segmentation is the essential step for image analysis and image processing. In this paper, an algorithm is presented that consists of panel selection followed by segmentation using K-means clustering then a refinement process. This algorithm was applied on public dataset designed for testing segmentation techniques. The results were compared with two different segmentation techniques developed by other researchers on the same data set. Our algorithm results in a sensitivity of 97.4 % and specificity of 98.1%. The developed algorithm was tested to another dataset of samples extracted from patients in local hospitals. The algorithm results in sensitivity of 100%, Specificity of 99.747% and accuracy of 99.7617%. The results were approved by expert pathologists.

International Journal of Advanced Computer Science and Applications, 2014

Keyword spotting is an important application of speech recognition. This research introduces a ke... more Keyword spotting is an important application of speech recognition. This research introduces a keyword spotting approach to perform audio searching of uttered words in Arabic speech. The matching process depends on the utterance nucleus which is insensitive to its context. For spotting the targeted utterances, the matched nuclei are expanded to cover the whole utterances. Applying this approach to Quran and standard Arabic has promising results. To improve this spotting approach, it is combined with a text search in case of the existence of a transcript. This can be applied on Quran as there is exact correspondence between the audio and text files of each verse. The developed approach starts by text search to identify the verses that include the target utterance(s). For each allocated verse, the occurrence(s) of the target utterance is determined. The targeted utterance (the reference) is manually segmented from an allocated verse. Then Keyword spotting is performed for the extracted reference to the corresponding audio file. The accuracy of the spotted utterances achieved 97%. The experiments showed that the use of the combined text and audio search has reduced the search time by 90% when compared with audio search only tested on the same content. The developed approach has been applied to non-transcribed audio files (preaches and News) for searching chosen utterances. The results are promising. The accuracy of spotting was around 84% in case of preaches and 88% in case of the news.

Current Medical Imaging Reviews, 2017

The diffuse lymphoma is a malignant tumor of lymphoid tissues. It is associated with abnormal, un... more The diffuse lymphoma is a malignant tumor of lymphoid tissues. It is associated with abnormal, unlimited and uncontrolled proliferation of lymphoid cells. Until now, expert pathologists have identified diffuse lymphoma cells disease manually. This paper introduces automatic system with a friendly user interface to differentiate between the categories of the diffuse lymphoma cells. This research is based on the morphological features such as size, perimeter and circularity. The cell size is a critical element in the classification of diffuse lymphoma according to international formulation standards. Therefore, the applied procedures identify lymphoid cell population in digital microscopic images. The cells are classified using their morphological data according to the characteristics of each cell such as: circularity, perimeter, area, and color density. The number of cells is taken into consideration in the developed approach. Image processing techniques are applied to digital microscopic images to measure morphological parameters and to overcome image problems such as overlapping and cell distortion that affect the sensitivity of the measured data. The developed procedures help the pathologists to come to a decision regarding the classification of diffuse lymphoma. Moreover, it can be used to train medical students and young pathologists.

A computerized system is built to help orthodontist in planning the treatment procedures of crani... more A computerized system is built to help orthodontist in planning the treatment procedures of craniofacial deformities. CT scans (head) for 10 patients were processed and their three-dimensional reconstructions were developed. For each patient a profile representing the present state is obtained. Another predicted profile for the patient drawn and the orthodontic formulates his plan depending on the distance measured between the two profiles. The system provides a new method for segmentation and visualization of the teeth crowns and roots. The three axes of each tooth were computed to enable the translation and rotation.

International Journal of Advanced Computer Science and Applications, 2016

Sepsis is a global health problem that causes risk of death. In the developing world, about 60 to... more Sepsis is a global health problem that causes risk of death. In the developing world, about 60 to 80 % of death cases are caused by Sepsis. Rapid methods for detecting its causes, represent one of the major factors that may reduce Sepsis risks. Such methods can provide microbial detection and identification which is critical to determine the right treatment for the patient. Microbial and Pyrogen detection is important for quality control system to ensure the absence of pathogens and Pyrogens in the manufacturing of both medical and food products. Raman spectroscopes represent a q uick and accurate identification and detection method, for bacteria and bacterial endotoxin, which this plays an important role in delivering high quality biomedical products using the power of Raman spectroscopy. It is a rapid method for chemical structure detection that can be used in identifying and classifying bacteria and bacterial endotoxin. Such a method acts as a solution for time and cost effective quality control procedures. This work presents an automatic system based on Raman spectroscopy to detect and identify bacteria and bacterial endotoxin. It uses the frequency properties of Raman scattering through the interaction between organic materials and electromagnetic waves. The scattered intensities are measured and wave number converted into frequency, then the cepstral coefficients are extracted for both the detection and identification. The methodology depends on normalization of Fourier transformed cepstral signal to extract their classification features. Experiments' results proved effective identification and detection of bacteria and bacterial endotoxin even with concentrations as low as 0.0003 Endotoxin unit (EU)/ml and 1 Colony Forming Unit (CFU)/ml using signal processing based enhancement technique.

Document compression and reconstruction case study: official forms

Document Recognition and Retrieval VII, 1999

Document compression and reconstruction case study: official forms. [Proceedings of SPIE 3967, 12... more Document compression and reconstruction case study: official forms. [Proceedings of SPIE 3967, 120 (1999)]. Ahmed H. Kandil. Abstract. The automation of the document storage and retrieval procedures has become an important issue in the restructuring of many institutes. ...

Progress in Orthodontics, 2011

Facial attractiveness is ranked as a principal priority among patients seeking orthodontic treatm... more Facial attractiveness is ranked as a principal priority among patients seeking orthodontic treatment or combined surgical orthodontic therapy. A successful treatment planning process necessitates an accurate prediction of the postoperative facial profile. In this manuscript, the simulation procedure on a real clinical case using virtual volumetric 3D mesh through different scenarios of orthognathic procedures was done. Results depict several facial soft tissue outcomes, with the likelihood of sharing with the patient the most esthetically pleasing end result prior to carrying out the surgical procedure.

Arabic OCR: toward a complete system

SPIE Proceedings, 1999

Arabic OCR: toward a complete system. [Proceedings of SPIE 3967, 42 (1999)]. Ahmed M. El-Bialy, A... more Arabic OCR: toward a complete system. [Proceedings of SPIE 3967, 42 (1999)]. Ahmed M. El-Bialy, Ahmed H. Kandil, Mohamed Hashish, Sameh M. Yamany. Abstract. Latin and Chinese OCR systems have been studied extensively in the literature. ...

Web-Based Instructional Learning, 2002

This paper considers a system for massive course generation. The output of this system is a cours... more This paper considers a system for massive course generation. The output of this system is a course arranged in a hierarchical structure of chapters and pages. Each page consists of multimedia components such as text, sound, music, image, video, animation, and graphics. The system has a hypermedia capability that is built on top of open Internet standards such as HTML. This enables the generated hypermedia courses to be broadcast on the Web and be navigated using any web browser. Students can evaluate their study and get a quantitative measure score for their study. Furthermore, the system is equipped with an automatic system for final exams generation. Finally, six courses of the senior year in the biomedical engineering department, Faculty of Engineering, Cairo University, were implemented using this generation system.

2011 1st Middle East Conference on Biomedical Engineering, 2011

The design of portable low cost systems for remote monitoring of patients with chronic diseases i... more The design of portable low cost systems for remote monitoring of patients with chronic diseases is one of the most important fields in telemedicine and telecare. Using Bluetooth communication technology, which can be added to some medical equipment, may enhance the efficiency of patient monitoring. In this paper a low cost, secure portable system with wireless transmission is presented to monitor vital parameters such as heart rate, O 2 level ...etc. Transmitted data is archived and visualized both on a mobile phone and on a central server.

2012 Cairo International Biomedical Engineering Conference (CIBEC), 2012

Biometrics are techniques for automatically identifying and authenticating an individual based on... more Biometrics are techniques for automatically identifying and authenticating an individual based on his physiological or behavioral characteristics. Hand vein is one of the biometric modalities. Hand vein check measures the shape and size of veins in the back of the hand in a grayscale image. In this paper, hybrid compression technique is applied on ninety hand vein images. This hybrid technique is combining the advantages of lossless techniques and lossy techniques. Only the essential information is selected and compressed using lossless technique, and nonessential information is compressed using lossy technique. The observed parameters are compression ratio (CR), total compression time (TCT), mean square error (MSE), and peak signal to noise ratio (PSNR). The goal is to maximize the CR while preserving images' information. This is acheived using object segmentation procedure and quad tree decomposition (QTD) as preprocessing steps for the compression process. Applying the hybrid technique on the dataset images results in a CR in the range of 89.56%.

Document compression and reconstruction case study: official forms

Document compression and reconstruction case study: official forms. [Proceedings of SPIE 3967, 12... more Document compression and reconstruction case study: official forms. [Proceedings of SPIE 3967, 120 (1999)]. Ahmed H. Kandil. Abstract. The automation of the document storage and retrieval procedures has become an important issue in the restructuring of many institutes. ...

This paper describes an automatic system for the detection of some common pronunciation mistakes ... more This paper describes an automatic system for the detection of some common pronunciation mistakes occurring in Quran recitation. It addresses the application of the Arabic language pronunciation rules. The system is a basic step towards a complete automatic teaching system of the Holy Quran recitation rules. The focus of this study is to detect the non proper pronunciation of a chosen set of emphatic and non-emphatic uttered letters. To achieve this goal, first we have developed several algorithms to extract the discriminating feature from specific uttered words that include the letters of interest. Then we developed a new semi automatic approach for segmentation of the considered speech to extract the target sounds. The reference in this study is the well recognized recitation rules of the Holy Quran. A database of correct readings for the chosen uttered letters was recorded from six famous referenced readers to be the control set of our system. The experiments are applied to test the pronunciation accuracy of the system users. The results showed the success of the system by 100% for the samples taken to detect the correct pronunciations and most common predictable mistakes. PEECH analysis, synthesis, and recognition are highly dependent on knowledge of the features and properties of the speech signal . It is considered as one of the first trials to automate the Quranic recitation rules-based was presented by Faied . His work was based on computing a reference recited utterance with a non-recited one. He applied his experiments only on five recitation rules. However, the system depended on comparing an utterance with another one; it is not able to extract the chosen word from the verse. Omar [3] presented an automatic segmentation procedure for Arabic speech as a basic step towards Arabic speech verification. In his work, the Arabic phoneme set was grouped into clusters selected according to a distance measure among the states of the Hidden Markov Model (HMM). The pronunciation assessment was accomplished in the following successive phases. First, the input speech is segmented into a sequence of these phonemes' clusters. Second, these units are tested by the trained HMM models. In , the author implemented a speech-enabled Computer Aided Pronunciation Learning (CAPL) system HAFSS©. This system was developed for teaching Arabic Manuscript received

Arabic OCR: toward a complete system

Latin and Chinese OCR systems have been studied extensively in the literature. Yet little work wa... more Latin and Chinese OCR systems have been studied extensively in the literature. Yet little work was performed for Arabic character recognition. This is due to the technical challenges found in the Arabic text. Due to its cursive nature, a powerful and stable text segmentation is needed. Also; features capturing the characteristics of the rich Arabic character representation are needed to build the Arabic OCR. In this paper a novel segmentation technique which is font and size independent is introduced. This technique can segment the cursive written text line even if the line suffers from small skewness. The technique is not sensitive to the location of the centerline of the text line and can segment different font sizes and type (for different character sets) occurring on the same line. Features extraction is considered one of the most important phases of the text reading system. Ideally, the features extracted from a character image should capture the essential characteristics of th...

A myoelectric prosthesis controller

2003 IEEE 29th Annual Proceedings of Bioengineering Conference, 2003

Myoelectric prostheses are preferred for their natural way of control and enhanced cosmetic resto... more Myoelectric prostheses are preferred for their natural way of control and enhanced cosmetic restoration. Developing a software program that proportionally controls an upper limb myoelectric prosthesis is our target. Software processing of the (EMG) signal was performed by extracting the energy, RMS, and zero crossings features from the EMG signal, and then generating the appropriate control signal to the prosthesis for the required movements. A study for the amputee's muscles was performed to choose the suitable muscles for the prosthesis operation. Results had shown that the introduced control on/off performance was over 95% and its proportional performance was over 80 %.

American Journal of Orthodontics and Dentofacial Orthopedics, 2010

The introduction of 3-dimensional (3D) volumetric technology and the massive amount of informatio... more The introduction of 3-dimensional (3D) volumetric technology and the massive amount of information that can be obtained from it compels the introduction of new methods and new technology for orthodontic diagnosis and treatment planning. In this article, methods and tools are introduced for managing 3D images of orthodontic patients. These tools enable the creation of a virtual model and automatic localization of landmarks on the 3D volumes. They allow the user to isolate a targeted region such as the mandible or the maxilla, manipulate it, and then reattach it to the 3D model. For an integrated protocol, these procedures are followed by registration of the 3D volumes to evaluate the amount of work accomplished. This paves the way for the prospective treatment analysis approach, analysis of the end result, subtraction analysis, and treatment analysis. (Am J Orthod Dentofacial Orthop 2010;137:266-73) W ith the introduction of 3-dimensional (3D) technology, producing a patient's 3D virtual image became an achievable reality. However, to make the 3D volume versatile and usable, we need diagnostic tools that enable us to detect defective skeletal and dental areas. We also need tools that allow us to detach, manipulate, and adjust various parts of the dentofacial skeleton, and then reattach them. In this article, a technique for these tasks is introduced. MATERIAL AND METHODS Acquisition of the patient's 3D virtual model is the foundation. Computed tomography (CT) slices of the patient's head (soft and hard tissues) are obtained in digital imaging and communication in medicine (DICOM) format. These cuts are then compiled to create a 3D model. By using a ray-casting volume-rendering technique, a digital 3D replica is built. 1 This volume-rendering formula provides more information of the anatomic details of the dentofacial skeleton for better visualization of the 3D model of the head (Fig 1). Surface-rendering formulas

Neuro-Fuzzy System for Post-dialysis Urea Rebound Prediction

Measuring post dialysis urea rebound (PDUR) requires a 30- or 60-minute post-dialysis sampling, w... more Measuring post dialysis urea rebound (PDUR) requires a 30- or 60-minute post-dialysis sampling, which is inconvenient. This paper presents a novel technique for predicting equilibrated urea concentration and post dialysis urea rebound in the form of a Takagi-Sugeno-Kang fuzzy inference system. The advantage of this neuro-fuzzy hybrid approach is that it doesn't require 30-60-minute post-dialysis urea sample. Adaptive neuro-fuzzy inference system (ANFIS) was constructed to predict equilibrated urea (Ceq) taken at 60 min after the end of the hemodialysis (HD) session in order to predict PDUR. The accuracy of the ANFIS was prospectively compared with other traditional methods for predicting equilibrated urea (Ceq), PDUR and equilibrated dialysis dose (eqKt/V). The results are highly promising, and a comparative analysis suggests that the proposed modeling approach outperforms artificial neural networks and other traditional urea kinetic models (UKM).

Improving heating uniformity of pathological tissue specimens inside a domestic microwave oven

The Journal of microwave power and electromagnetic energy : a publication of the International Microwave Power Institute, 2013

A 3D coupled electromagnetic thermal model was developed using COMSOL 4.0 to predict the electrom... more A 3D coupled electromagnetic thermal model was developed using COMSOL 4.0 to predict the electromagnetic field distribution and temperature profile in pathological tissue samples immersed in a reagent inside the oven cavity. The effect of the volume of reagent on the mean heating rate and heating uniformity within the tissue sample was investigated. Also, the effect of using a water load, as a method of temperature control, is emphasized. A well insulated K type thermocouple connected to a PC is used for model validation. Good agreement is found between experimental and simulated temperature profiles. Results show that as the volume of reagent increases, the mean heating rate decreases and temperature homogeneity increases. Also, it is possible to minimize overshooting temperature values inside the tissue sample and enhance tissue uniformity by about 27% using 100 ml of water load and 42.26% using 150 ml. Domestic microwave oven is a low cost economical tool that can speed up tissue...

International Journal of Computer Applications, 2016

The recognition of the acute Leukemia blast cells in colored microscopic images is a challenging ... more The recognition of the acute Leukemia blast cells in colored microscopic images is a challenging task. Segmentation is the essential step for image analysis and image processing. In this paper, an algorithm is presented that consists of panel selection followed by segmentation using K-means clustering then a refinement process. This algorithm was applied on public dataset designed for testing segmentation techniques. The results were compared with two different segmentation techniques developed by other researchers on the same data set. Our algorithm results in a sensitivity of 97.4 % and specificity of 98.1%. The developed algorithm was tested to another dataset of samples extracted from patients in local hospitals. The algorithm results in sensitivity of 100%, Specificity of 99.747% and accuracy of 99.7617%. The results were approved by expert pathologists.

International Journal of Advanced Computer Science and Applications, 2014

Keyword spotting is an important application of speech recognition. This research introduces a ke... more Keyword spotting is an important application of speech recognition. This research introduces a keyword spotting approach to perform audio searching of uttered words in Arabic speech. The matching process depends on the utterance nucleus which is insensitive to its context. For spotting the targeted utterances, the matched nuclei are expanded to cover the whole utterances. Applying this approach to Quran and standard Arabic has promising results. To improve this spotting approach, it is combined with a text search in case of the existence of a transcript. This can be applied on Quran as there is exact correspondence between the audio and text files of each verse. The developed approach starts by text search to identify the verses that include the target utterance(s). For each allocated verse, the occurrence(s) of the target utterance is determined. The targeted utterance (the reference) is manually segmented from an allocated verse. Then Keyword spotting is performed for the extracted reference to the corresponding audio file. The accuracy of the spotted utterances achieved 97%. The experiments showed that the use of the combined text and audio search has reduced the search time by 90% when compared with audio search only tested on the same content. The developed approach has been applied to non-transcribed audio files (preaches and News) for searching chosen utterances. The results are promising. The accuracy of spotting was around 84% in case of preaches and 88% in case of the news.

Current Medical Imaging Reviews, 2017

The diffuse lymphoma is a malignant tumor of lymphoid tissues. It is associated with abnormal, un... more The diffuse lymphoma is a malignant tumor of lymphoid tissues. It is associated with abnormal, unlimited and uncontrolled proliferation of lymphoid cells. Until now, expert pathologists have identified diffuse lymphoma cells disease manually. This paper introduces automatic system with a friendly user interface to differentiate between the categories of the diffuse lymphoma cells. This research is based on the morphological features such as size, perimeter and circularity. The cell size is a critical element in the classification of diffuse lymphoma according to international formulation standards. Therefore, the applied procedures identify lymphoid cell population in digital microscopic images. The cells are classified using their morphological data according to the characteristics of each cell such as: circularity, perimeter, area, and color density. The number of cells is taken into consideration in the developed approach. Image processing techniques are applied to digital microscopic images to measure morphological parameters and to overcome image problems such as overlapping and cell distortion that affect the sensitivity of the measured data. The developed procedures help the pathologists to come to a decision regarding the classification of diffuse lymphoma. Moreover, it can be used to train medical students and young pathologists.

A computerized system is built to help orthodontist in planning the treatment procedures of crani... more A computerized system is built to help orthodontist in planning the treatment procedures of craniofacial deformities. CT scans (head) for 10 patients were processed and their three-dimensional reconstructions were developed. For each patient a profile representing the present state is obtained. Another predicted profile for the patient drawn and the orthodontic formulates his plan depending on the distance measured between the two profiles. The system provides a new method for segmentation and visualization of the teeth crowns and roots. The three axes of each tooth were computed to enable the translation and rotation.

International Journal of Advanced Computer Science and Applications, 2016

Sepsis is a global health problem that causes risk of death. In the developing world, about 60 to... more Sepsis is a global health problem that causes risk of death. In the developing world, about 60 to 80 % of death cases are caused by Sepsis. Rapid methods for detecting its causes, represent one of the major factors that may reduce Sepsis risks. Such methods can provide microbial detection and identification which is critical to determine the right treatment for the patient. Microbial and Pyrogen detection is important for quality control system to ensure the absence of pathogens and Pyrogens in the manufacturing of both medical and food products. Raman spectroscopes represent a q uick and accurate identification and detection method, for bacteria and bacterial endotoxin, which this plays an important role in delivering high quality biomedical products using the power of Raman spectroscopy. It is a rapid method for chemical structure detection that can be used in identifying and classifying bacteria and bacterial endotoxin. Such a method acts as a solution for time and cost effective quality control procedures. This work presents an automatic system based on Raman spectroscopy to detect and identify bacteria and bacterial endotoxin. It uses the frequency properties of Raman scattering through the interaction between organic materials and electromagnetic waves. The scattered intensities are measured and wave number converted into frequency, then the cepstral coefficients are extracted for both the detection and identification. The methodology depends on normalization of Fourier transformed cepstral signal to extract their classification features. Experiments' results proved effective identification and detection of bacteria and bacterial endotoxin even with concentrations as low as 0.0003 Endotoxin unit (EU)/ml and 1 Colony Forming Unit (CFU)/ml using signal processing based enhancement technique.

Document compression and reconstruction case study: official forms

Document Recognition and Retrieval VII, 1999

Document compression and reconstruction case study: official forms. [Proceedings of SPIE 3967, 12... more Document compression and reconstruction case study: official forms. [Proceedings of SPIE 3967, 120 (1999)]. Ahmed H. Kandil. Abstract. The automation of the document storage and retrieval procedures has become an important issue in the restructuring of many institutes. ...

Progress in Orthodontics, 2011

Facial attractiveness is ranked as a principal priority among patients seeking orthodontic treatm... more Facial attractiveness is ranked as a principal priority among patients seeking orthodontic treatment or combined surgical orthodontic therapy. A successful treatment planning process necessitates an accurate prediction of the postoperative facial profile. In this manuscript, the simulation procedure on a real clinical case using virtual volumetric 3D mesh through different scenarios of orthognathic procedures was done. Results depict several facial soft tissue outcomes, with the likelihood of sharing with the patient the most esthetically pleasing end result prior to carrying out the surgical procedure.

Arabic OCR: toward a complete system

SPIE Proceedings, 1999

Arabic OCR: toward a complete system. [Proceedings of SPIE 3967, 42 (1999)]. Ahmed M. El-Bialy, A... more Arabic OCR: toward a complete system. [Proceedings of SPIE 3967, 42 (1999)]. Ahmed M. El-Bialy, Ahmed H. Kandil, Mohamed Hashish, Sameh M. Yamany. Abstract. Latin and Chinese OCR systems have been studied extensively in the literature. ...

Web-Based Instructional Learning, 2002

This paper considers a system for massive course generation. The output of this system is a cours... more This paper considers a system for massive course generation. The output of this system is a course arranged in a hierarchical structure of chapters and pages. Each page consists of multimedia components such as text, sound, music, image, video, animation, and graphics. The system has a hypermedia capability that is built on top of open Internet standards such as HTML. This enables the generated hypermedia courses to be broadcast on the Web and be navigated using any web browser. Students can evaluate their study and get a quantitative measure score for their study. Furthermore, the system is equipped with an automatic system for final exams generation. Finally, six courses of the senior year in the biomedical engineering department, Faculty of Engineering, Cairo University, were implemented using this generation system.

2011 1st Middle East Conference on Biomedical Engineering, 2011

The design of portable low cost systems for remote monitoring of patients with chronic diseases i... more The design of portable low cost systems for remote monitoring of patients with chronic diseases is one of the most important fields in telemedicine and telecare. Using Bluetooth communication technology, which can be added to some medical equipment, may enhance the efficiency of patient monitoring. In this paper a low cost, secure portable system with wireless transmission is presented to monitor vital parameters such as heart rate, O 2 level ...etc. Transmitted data is archived and visualized both on a mobile phone and on a central server.

2012 Cairo International Biomedical Engineering Conference (CIBEC), 2012

Biometrics are techniques for automatically identifying and authenticating an individual based on... more Biometrics are techniques for automatically identifying and authenticating an individual based on his physiological or behavioral characteristics. Hand vein is one of the biometric modalities. Hand vein check measures the shape and size of veins in the back of the hand in a grayscale image. In this paper, hybrid compression technique is applied on ninety hand vein images. This hybrid technique is combining the advantages of lossless techniques and lossy techniques. Only the essential information is selected and compressed using lossless technique, and nonessential information is compressed using lossy technique. The observed parameters are compression ratio (CR), total compression time (TCT), mean square error (MSE), and peak signal to noise ratio (PSNR). The goal is to maximize the CR while preserving images' information. This is acheived using object segmentation procedure and quad tree decomposition (QTD) as preprocessing steps for the compression process. Applying the hybrid technique on the dataset images results in a CR in the range of 89.56%.

Document compression and reconstruction case study: official forms

Document compression and reconstruction case study: official forms. [Proceedings of SPIE 3967, 12... more Document compression and reconstruction case study: official forms. [Proceedings of SPIE 3967, 120 (1999)]. Ahmed H. Kandil. Abstract. The automation of the document storage and retrieval procedures has become an important issue in the restructuring of many institutes. ...

This paper describes an automatic system for the detection of some common pronunciation mistakes ... more This paper describes an automatic system for the detection of some common pronunciation mistakes occurring in Quran recitation. It addresses the application of the Arabic language pronunciation rules. The system is a basic step towards a complete automatic teaching system of the Holy Quran recitation rules. The focus of this study is to detect the non proper pronunciation of a chosen set of emphatic and non-emphatic uttered letters. To achieve this goal, first we have developed several algorithms to extract the discriminating feature from specific uttered words that include the letters of interest. Then we developed a new semi automatic approach for segmentation of the considered speech to extract the target sounds. The reference in this study is the well recognized recitation rules of the Holy Quran. A database of correct readings for the chosen uttered letters was recorded from six famous referenced readers to be the control set of our system. The experiments are applied to test the pronunciation accuracy of the system users. The results showed the success of the system by 100% for the samples taken to detect the correct pronunciations and most common predictable mistakes. PEECH analysis, synthesis, and recognition are highly dependent on knowledge of the features and properties of the speech signal . It is considered as one of the first trials to automate the Quranic recitation rules-based was presented by Faied . His work was based on computing a reference recited utterance with a non-recited one. He applied his experiments only on five recitation rules. However, the system depended on comparing an utterance with another one; it is not able to extract the chosen word from the verse. Omar [3] presented an automatic segmentation procedure for Arabic speech as a basic step towards Arabic speech verification. In his work, the Arabic phoneme set was grouped into clusters selected according to a distance measure among the states of the Hidden Markov Model (HMM). The pronunciation assessment was accomplished in the following successive phases. First, the input speech is segmented into a sequence of these phonemes' clusters. Second, these units are tested by the trained HMM models. In , the author implemented a speech-enabled Computer Aided Pronunciation Learning (CAPL) system HAFSS©. This system was developed for teaching Arabic Manuscript received

Arabic OCR: toward a complete system

Latin and Chinese OCR systems have been studied extensively in the literature. Yet little work wa... more Latin and Chinese OCR systems have been studied extensively in the literature. Yet little work was performed for Arabic character recognition. This is due to the technical challenges found in the Arabic text. Due to its cursive nature, a powerful and stable text segmentation is needed. Also; features capturing the characteristics of the rich Arabic character representation are needed to build the Arabic OCR. In this paper a novel segmentation technique which is font and size independent is introduced. This technique can segment the cursive written text line even if the line suffers from small skewness. The technique is not sensitive to the location of the centerline of the text line and can segment different font sizes and type (for different character sets) occurring on the same line. Features extraction is considered one of the most important phases of the text reading system. Ideally, the features extracted from a character image should capture the essential characteristics of th...

A myoelectric prosthesis controller

2003 IEEE 29th Annual Proceedings of Bioengineering Conference, 2003

Myoelectric prostheses are preferred for their natural way of control and enhanced cosmetic resto... more Myoelectric prostheses are preferred for their natural way of control and enhanced cosmetic restoration. Developing a software program that proportionally controls an upper limb myoelectric prosthesis is our target. Software processing of the (EMG) signal was performed by extracting the energy, RMS, and zero crossings features from the EMG signal, and then generating the appropriate control signal to the prosthesis for the required movements. A study for the amputee's muscles was performed to choose the suitable muscles for the prosthesis operation. Results had shown that the introduced control on/off performance was over 95% and its proportional performance was over 80 %.

American Journal of Orthodontics and Dentofacial Orthopedics, 2010

The introduction of 3-dimensional (3D) volumetric technology and the massive amount of informatio... more The introduction of 3-dimensional (3D) volumetric technology and the massive amount of information that can be obtained from it compels the introduction of new methods and new technology for orthodontic diagnosis and treatment planning. In this article, methods and tools are introduced for managing 3D images of orthodontic patients. These tools enable the creation of a virtual model and automatic localization of landmarks on the 3D volumes. They allow the user to isolate a targeted region such as the mandible or the maxilla, manipulate it, and then reattach it to the 3D model. For an integrated protocol, these procedures are followed by registration of the 3D volumes to evaluate the amount of work accomplished. This paves the way for the prospective treatment analysis approach, analysis of the end result, subtraction analysis, and treatment analysis. (Am J Orthod Dentofacial Orthop 2010;137:266-73) W ith the introduction of 3-dimensional (3D) technology, producing a patient's 3D virtual image became an achievable reality. However, to make the 3D volume versatile and usable, we need diagnostic tools that enable us to detect defective skeletal and dental areas. We also need tools that allow us to detach, manipulate, and adjust various parts of the dentofacial skeleton, and then reattach them. In this article, a technique for these tasks is introduced. MATERIAL AND METHODS Acquisition of the patient's 3D virtual model is the foundation. Computed tomography (CT) slices of the patient's head (soft and hard tissues) are obtained in digital imaging and communication in medicine (DICOM) format. These cuts are then compiled to create a 3D model. By using a ray-casting volume-rendering technique, a digital 3D replica is built. 1 This volume-rendering formula provides more information of the anatomic details of the dentofacial skeleton for better visualization of the 3D model of the head (Fig 1). Surface-rendering formulas

Neuro-Fuzzy System for Post-dialysis Urea Rebound Prediction

Measuring post dialysis urea rebound (PDUR) requires a 30- or 60-minute post-dialysis sampling, w... more Measuring post dialysis urea rebound (PDUR) requires a 30- or 60-minute post-dialysis sampling, which is inconvenient. This paper presents a novel technique for predicting equilibrated urea concentration and post dialysis urea rebound in the form of a Takagi-Sugeno-Kang fuzzy inference system. The advantage of this neuro-fuzzy hybrid approach is that it doesn't require 30-60-minute post-dialysis urea sample. Adaptive neuro-fuzzy inference system (ANFIS) was constructed to predict equilibrated urea (Ceq) taken at 60 min after the end of the hemodialysis (HD) session in order to predict PDUR. The accuracy of the ANFIS was prospectively compared with other traditional methods for predicting equilibrated urea (Ceq), PDUR and equilibrated dialysis dose (eqKt/V). The results are highly promising, and a comparative analysis suggests that the proposed modeling approach outperforms artificial neural networks and other traditional urea kinetic models (UKM).

Improving heating uniformity of pathological tissue specimens inside a domestic microwave oven

The Journal of microwave power and electromagnetic energy : a publication of the International Microwave Power Institute, 2013

A 3D coupled electromagnetic thermal model was developed using COMSOL 4.0 to predict the electrom... more A 3D coupled electromagnetic thermal model was developed using COMSOL 4.0 to predict the electromagnetic field distribution and temperature profile in pathological tissue samples immersed in a reagent inside the oven cavity. The effect of the volume of reagent on the mean heating rate and heating uniformity within the tissue sample was investigated. Also, the effect of using a water load, as a method of temperature control, is emphasized. A well insulated K type thermocouple connected to a PC is used for model validation. Good agreement is found between experimental and simulated temperature profiles. Results show that as the volume of reagent increases, the mean heating rate decreases and temperature homogeneity increases. Also, it is possible to minimize overshooting temperature values inside the tissue sample and enhance tissue uniformity by about 27% using 100 ml of water load and 42.26% using 150 ml. Domestic microwave oven is a low cost economical tool that can speed up tissue...