Muhammad Adeel Waris - Academia.edu (original) (raw)
Papers by Muhammad Adeel Waris
2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017
In this paper, we propose a new regularization scheme for the well-known Support Vector Machine (... more In this paper, we propose a new regularization scheme for the well-known Support Vector Machine (SVM) classifier that operates on the training sample level. The proposed approach is motivated by the fact that Maximum Margin-based classification defines decision functions as a linear combination of the selected training data and, thus, the variations on training sample selection directly affect generalization performance. We show that the exploitation of the proposed regularization scheme is well motivated and intuitive. Experimental results show that the proposed regularization scheme outperforms standard SVM in human action recognition tasks as well as classical recognition problems.
2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017
In this paper, we propose a new regularization scheme for the well-known Support Vector Machine (... more In this paper, we propose a new regularization scheme for the well-known Support Vector Machine (SVM) classifier that operates on the training sample level. The proposed approach is motivated by the fact that Maximum Margin-based classification defines decision functions as a linear combination of the selected training data and, thus, the variations on training sample selection directly affect generalization performance. We show that the exploitation of the proposed regularization scheme is well motivated and intuitive. Experimental results show that the proposed regularization scheme outperforms standard SVM in human action recognition tasks as well as classical recognition problems.
International journal of mathematics and computers in simulation, Nov 27, 2021
Electromyographic prosthesis with higher degrees of freedom is an expanding area of research. In ... more Electromyographic prosthesis with higher degrees of freedom is an expanding area of research. In this paper, active prosthesis with four degrees of freedom has been investigated, which can be used to fit a limb with amputation below elbow. The system comprises of multichannel inputs which correspond to the flexion and extension as well as supination and pronation. To find maximum surface neural activity, accurate placement of electrodes has been carried out on 10 subjects aged between 22-30 years. Signals (0-500 hertz) acquired from contracting voluntary muscles with minimum cross talk and common mode noise. Clean filtered EMG signal is then amplified precisely. Finally digitization is being done to drive bionic hand. Practical demonstration on a simple DC motor proved providential using this method for the two motions of an actual human arm. EMG Signals emanating from muscles dedicated to individual fingers have been recorded. Moreover modern classifiers; KNN and NN have been investigated carefully with selected features through different time and noise levels.
International Journal of Recreation and Sports Science, 2020
This study aimed to compare the physical appearance perfectionism and social physique anxiety sco... more This study aimed to compare the physical appearance perfectionism and social physique anxiety scores of university students with respect to different variables and to reveal the relationship between these variables. The study group, which was selected through convenience sampling, consisted of 191 university students, 111 women (Xage = 20.59) and 80 men (Xage = 21.39). This cross-sectional study was planned as a correlational survey model. The "Physical Appearance Perfectionism Scale", and "Social Physique Anxiety Scale" were used as data collection tools. Data were analyzed using descriptive statistics and t-test, one-way analysis of variance, and Pearson correlation analyses were performed. The "hope for perfection" subscale of the Physical Appearance Perfectionism Scale and "comfort with appearance" subscale of the Social Physique Anxiety Scale were negatively correlated (r =-.31; p < .05), while the former showed a positive association with the "expectation of negative evaluation" subscale (r = .16; p < .05). The results of the analysis showed that the participants' Physical Appearance Perfectionism and Social Physique Anxiety scores did not differ significantly according to gender or course of study (p > .05). The Physical Appearance Perfectionism scores also showed no significant differences based on exercise habits, although the "comfort with appearance" scores of the participants who exercised were significantly higher (t = 2.00; p < .05). Overall, the students who reported an intense striving for perfection were not comfortable with their appearance and expected negative judgment, whereas those engaging in exercise were comfortable with their appearance.
Journal of Humanities and Social Sciences Research, 2020
Stakeholder engagement has been acknowledged as being a vital approach in delivering successful p... more Stakeholder engagement has been acknowledged as being a vital approach in delivering successful project outcomes. However, there is a limitation of studies on how the stakeholder engagement can indicate the successful implementation of renewable energy projects. The purpose of this study is to fill the gap by investigating the influence of stakeholder engagement indicators towards renewable energy project success. This study suggests second-order model by extending stakeholder engagement indicators as hierarchical and integrating ten associated components. Data was collected through survey questionnaires applied to the Renewable Energy Power Providers (REPPs) in Malaysia, using stratified random sampling. SPSS ver.23 and Smart PLS 3.0 software was applied to test measurement and structural models of this study. The findings revealed that stakeholder relations, stakeholders' communication, stakeholders' learning and stakeholder integration were positively significant towards the renewable energy project success. It is apparent that this study allows contribution to the body of knowledge of project management and offers some important insights into limited literature on stakeholder engagement.This study also sheds light on the key stakeholders' groups in developing successful renewable energy projects.
21st European Signal Processing Conference (EUSIPCO 2013), 2013
True authentication predicted on biometrics has received upsurge attention during the last few ye... more True authentication predicted on biometrics has received upsurge attention during the last few years, as it provides facile way to access the system through basic physical and behavioral characteristics. Face recognition being a non-intrusive recognition requires less participation from the user compared to iris, speech and fingerprint based biometric. Resistance to false authentication from photographs and video playbacks is a vigorous issue for successful biometric system. This paper analyzes different textural features and proposes a novel approach for anti-spoofing solution. Experiments were conducted on a publicly available face spoofing database REPLAY-ATTACK to validate textural analysis over a database containing printed photographs, photos and videos displayed on electronic screens. Results show that the approach is superior to the other existing state of art approaches tested on same database.
IOP Conference Series: Earth and Environmental Science, 2018
The purpose of this study is to investigate the impact of multiple leadership qualities (MLQ) on ... more The purpose of this study is to investigate the impact of multiple leadership qualities (MLQ) on employee commitment in multi-project-based organizsations. The dimensions of leadership qualities develop a healthy organizational environment which will lead to job satisfaction and, ultimately, job commitment. MLQ inspire the subordinates, as collective in nature, to get extra ordinary goals in the hyper competitive era. The main objective of this research is two fold ; firstly, to find out the impact of MLQ on employee job affectiveness and calculative commitment and secondly, to investigate the extent of the impact of MLQ on organizations. A total of 213 respondents were included in the study from different organizations. The data were analyzed through regression analysis by using the SPSS. The finding shows that all of the variables have a positive correlation with each other. The correlation of MLQ and employee job commitment was also found to be significant, which shows that MLQ have an impact on the organizations. Conceptual framework of the study is developed as MLQ an independent variables and its impact has been examined on the Employee Job Commitment. The results supported the hypothesis that MLQ have a positive and significant impact on employee job commitment.
International Journal of Organizational Business Excellence, 2019
In developing countries, governance of public sector projects is becoming increasingly more compl... more In developing countries, governance of public sector projects is becoming increasingly more complex due to the varying nature of stakeholders and their expectations from the government to address their interest. As a result, policymakers and sponsoring agencies are more focusing on stakeholder management to ensure smooth execution, high performance and achieving desired outcomes. This study has conducted a systematic appraisal of the relevant literature to explore the thematic discussions on the role of project governance and stakeholder management in public sector infrastructure projects of Pakistan. The analysis reveals that project governance and stakeholder management is not widely been discussed in the Pakistan specific studies. Therefore, this research proposes project governance and stakeholder management as key concerns of government decision-making strategies.
KnE Social Sciences, 2019
Stakeholder engagement is increasingly becoming a part of practice in delivering successful proje... more Stakeholder engagement is increasingly becoming a part of practice in delivering successful project outcomes. However, there is a limitation of studies on how the stakeholder engagement approaches are being implemented primarily towards mega-scale projects such as renewable energy projects. This paper intends to fill the gap by analyzing the relationship between ten identified constructs of stakeholder engagement and renewable energy project success. Data was collected through survey questionnaires applied to the Renewable Energy Power Providers (REPPs) in Malaysia, using stratified random sampling. SPSS ver.23 and SmartPLS 3.0 was applied to test measurement and structural models of this study. The findings revealed that effective communication, continuous consultation, understand intention and behavior, implement plans, build good relationships, analyze changes, risk mitigation, compromise conflicts, understand project success and good project governance were significant critical ...
Advances in Civil Engineering, 2019
The governance of public sector infrastructure projects became an important area of interest in t... more The governance of public sector infrastructure projects became an important area of interest in the literature on project management. Today, it is a focal point for policymakers to ensure successful appraisal and implementation of government-sponsored programs. This paper aims to investigate the current practices of project governance (PG) for steering the public sector infrastructure program in Pakistan. An empirical investigation was carried out among professionals of public sector organizations involved in different infrastructure development projects. Latent construct of PG was validated through second-order confirmatory factor analysis (CFA) and quantified the three dimensions of PG, i.e., portfolio direction (PD), sponsorship, effectiveness, and efficiency (SEE), and disclosure and reporting (DR) through the relative importance index (RII) method. The result showed that DR is among the least practicing dimension having RII = 0.55, while PD and SEE have shown similar prevalence...
The governance of public sector infrastructure projects became an important topic of interest in ... more The governance of public sector infrastructure projects became an important topic of interest in the project, programme and portfolio management literature during the last decade. Today, it is becoming a central focus for policymakers seeking to ensure success in selecting, designing and implementing government-sponsored programme of multi-projects. Due to the multiple underlying risks and complexities, the governance of infrastructure programme constitutes a critical element in strategic planning in developing countries. This paper has analyzed infrastructure development programme and revealed shortcomings in the areas of appraisal, decision-making, quality assurance and stakeholder management. Approaches to remedy these shortcomings have been proposed.
2016 23rd International Conference on Pattern Recognition (ICPR), 2016
With the success of deep learning in the last few years, the object detection community shifted f... more With the success of deep learning in the last few years, the object detection community shifted from processing on exhaustive sliding windows to smaller set of object proposals using more powerful and deep visual representations. Object proposals increase the accuracy and speed up detection process by reducing the search space. In this paper we propose a novel idea of filtering irrelevant edges using semantic image filtering and true objectness learnt within convolutional layers of CNN. Our approach localizes well proposals by producing highly accurate bounding boxes and reduces the number of proposals. The greatest benefit of our approach is that it can be integrated into any existing method exploiting edge-based objectness to achieve consistently high recall across various intersection over union thresholds. Unlike other supervised methods, our approach does not require bounding box annotations for training. Experiments on PASCAL VOC 2007 dataset demonstrate that our approach improves the state-of-the-art model with a significant margin.
Significance of rehabilitation engineering is gaining popularity with the advancement in technolo... more Significance of rehabilitation engineering is gaining popularity with the advancement in technology as more amputees desire to perform day to day tasks. Researchers are proposing designs and devices related to prosthesis which can achieve principle functions. Ideal upper limb prosthesis is one which can mimic actual hand. Control of Electromyography (EMG) based prosthesis is still in primitive stage as large number of channels is required even for the recognition of only few hand gestures. This study presents classification of essential hand movements for dexterous control of upper limb active prosthesis using surface Electromyography (EMG). Forearm muscles were used to detect these signals. Four pairs of surface electrodes were used with one reference electrode. Thus lesser number of channels used as compared to previous studies. Offline analysis was used to figure out classification accuracy. Time domain feature extraction was done in the initial stage with support vector machine (SVM) analysis used for classification in the later stage. Results showed that hand movements were decoded accurately under latencies of 300ms. Five different movements were classified with the average accuracy between 84-90%.
JPMA. The Journal of the Pakistan Medical Association, 2011
Respiratory dyskinesia is an under-recognized side effect of neuroleptic administration. There ar... more Respiratory dyskinesia is an under-recognized side effect of neuroleptic administration. There are only few studies that have addressed the prevalence of respiratory dyskinesia in patients with tardive dyskinesia. Our case report highlights the need to regularly examine patients on antipsychotics for any evidence of dyskinetic movements including respiratory musculature. Since RD is underrecognized and misdiagnosed, early detection can improve long term prognosis as treatment options are few and usually of only limited effect. A 62-year-old Asian male, retired civil engineer, had more than 20 years history of depressive illness, developed antidepressant induced hypomania, and was given risperidone upto 1 mg per day. He developed extrapyrmidal side effects as tremors, rigidity and later dyskinetic movements of lips with shortness of breathing, dyspnoea, grunting or gasping. He was referred to the pulmonologist who got the neccessary medical work up done, which was normal. A diagnosis...
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2016
There has been a surge of efforts in cross-modal recognition and retrieval in recent multimedia r... more There has been a surge of efforts in cross-modal recognition and retrieval in recent multimedia research. Towards this goal, we investigate a multi-modal subspace learning algorithm together with the Dropout regularizer. Inspired by the regularization for neural networks, we propose to aritificially remove the effect of certain amount of feature bins using the probabilistic approach to prevent the linear subspace learning from over-fitting. The novel regularizer is well integrated into the multi-modal learning algorithm which maximizes the between-class scatter while minimizing the within-class scatter in the projected latent space. The new objective function can be solved efficiently as the generalized eigenvalue problem. Experimental results have shown that superior performance can be obtained in both face-sketch recognition and cross-modal retrieval applications.
2016 IEEE International Conference on Image Processing (ICIP), 2016
In this study we address the problem of face segmentation in thumbnail images. While there have b... more In this study we address the problem of face segmentation in thumbnail images. While there have been several approaches for face detection, none performs detection in such low resolution and segmentation with pixel accuracy. In this paper, we propose convolutional segmentation networks (CSNs) that can be trained to learn segmentation of human faces. Unlike the deep classifiers such as Convolutional Neural Network (CNNs), CSNs have the unique design solely for segmentation with minimal complexity. Furthermore, we propose a self-data organization (SDO) in order to create “expert” CSNs each of which is specialized over a set of images with certain face characteristics. SDO is integrated with CSN training in an interleaved manner and it is the key for the learning with simple and compact networks rather than the deep ones. This is especially a desired property for the limited face datasets with challenging face variations and complexities. Evaluations on the benchmark dataset show that CSNs can achieve an elegant segmentation accuracy despite the limited training data size, thumbnail resolution and highly complex face modalities.
2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2014
This paper presents our system designed for MSR-Bing Image Retrieval Challenge @ ICME 2014. The c... more This paper presents our system designed for MSR-Bing Image Retrieval Challenge @ ICME 2014. The core of our system is formed by a text processing module combined with a module performing PCA-assisted perceptron regression with random sub-space selection (P2R2S2). P2R2S2 uses Over-Feat features as a starting point and transforms them into more descriptive features via unsupervised training. The relevance score for each query-image pair is obtained by comparing the transformed features of the query image and the relevant training images. We also use a face bank, duplicate image detection, and optical character recognition to boost our evaluation accuracy. Our system achieves 0.5099 in terms of DCG25 on the development set and 0.5116 on the test set.
As a crucial security problem, anti-spoofing in biometrics, and particularly for the face modalit... more As a crucial security problem, anti-spoofing in biometrics, and particularly for the face modality, has achieved great progress in the recent years. Still, new threats arrive in form of better, more realistic and more sophisticated spoofing attacks. The objective of the 2nd Competition on Counter Measures to 2D Face Spoofing Attacks is to challenge researchers to create counter measures effectively detecting a variety of attacks. The submitted propositions are evaluated on the Replay-Attack database and the achieved results are presented in this paper.
PRN: Normative Ethics (Topic), 2017
This paper provide a qualitative analysis on promoting research governance in the higher learning... more This paper provide a qualitative analysis on promoting research governance in the higher learning institutions. The purpose of this paper is to analyse importance of research integrity and ethical practices in higher learning institutions qualitatively for the implementation of good governance in research practices. Qualitative research is utilized to discover the deeper associations that underlie individual researcher’s approach for research integrity avoid any misconduct. Comments on qualitative questions asked to university lecturers were coded systematically. The research quantify the qualitative interview data through data query, and cross tabulation. To synthesize the findings, thematic analysis was used which were interpreted within the study context of promoting governance, research integrity and ethical practices. This paper also provide recommendations for additional research and further discussions on these issues. The thematic findings confirmed that researchers need to ...
2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017
In this paper, we propose a new regularization scheme for the well-known Support Vector Machine (... more In this paper, we propose a new regularization scheme for the well-known Support Vector Machine (SVM) classifier that operates on the training sample level. The proposed approach is motivated by the fact that Maximum Margin-based classification defines decision functions as a linear combination of the selected training data and, thus, the variations on training sample selection directly affect generalization performance. We show that the exploitation of the proposed regularization scheme is well motivated and intuitive. Experimental results show that the proposed regularization scheme outperforms standard SVM in human action recognition tasks as well as classical recognition problems.
2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017
In this paper, we propose a new regularization scheme for the well-known Support Vector Machine (... more In this paper, we propose a new regularization scheme for the well-known Support Vector Machine (SVM) classifier that operates on the training sample level. The proposed approach is motivated by the fact that Maximum Margin-based classification defines decision functions as a linear combination of the selected training data and, thus, the variations on training sample selection directly affect generalization performance. We show that the exploitation of the proposed regularization scheme is well motivated and intuitive. Experimental results show that the proposed regularization scheme outperforms standard SVM in human action recognition tasks as well as classical recognition problems.
International journal of mathematics and computers in simulation, Nov 27, 2021
Electromyographic prosthesis with higher degrees of freedom is an expanding area of research. In ... more Electromyographic prosthesis with higher degrees of freedom is an expanding area of research. In this paper, active prosthesis with four degrees of freedom has been investigated, which can be used to fit a limb with amputation below elbow. The system comprises of multichannel inputs which correspond to the flexion and extension as well as supination and pronation. To find maximum surface neural activity, accurate placement of electrodes has been carried out on 10 subjects aged between 22-30 years. Signals (0-500 hertz) acquired from contracting voluntary muscles with minimum cross talk and common mode noise. Clean filtered EMG signal is then amplified precisely. Finally digitization is being done to drive bionic hand. Practical demonstration on a simple DC motor proved providential using this method for the two motions of an actual human arm. EMG Signals emanating from muscles dedicated to individual fingers have been recorded. Moreover modern classifiers; KNN and NN have been investigated carefully with selected features through different time and noise levels.
International Journal of Recreation and Sports Science, 2020
This study aimed to compare the physical appearance perfectionism and social physique anxiety sco... more This study aimed to compare the physical appearance perfectionism and social physique anxiety scores of university students with respect to different variables and to reveal the relationship between these variables. The study group, which was selected through convenience sampling, consisted of 191 university students, 111 women (Xage = 20.59) and 80 men (Xage = 21.39). This cross-sectional study was planned as a correlational survey model. The "Physical Appearance Perfectionism Scale", and "Social Physique Anxiety Scale" were used as data collection tools. Data were analyzed using descriptive statistics and t-test, one-way analysis of variance, and Pearson correlation analyses were performed. The "hope for perfection" subscale of the Physical Appearance Perfectionism Scale and "comfort with appearance" subscale of the Social Physique Anxiety Scale were negatively correlated (r =-.31; p < .05), while the former showed a positive association with the "expectation of negative evaluation" subscale (r = .16; p < .05). The results of the analysis showed that the participants' Physical Appearance Perfectionism and Social Physique Anxiety scores did not differ significantly according to gender or course of study (p > .05). The Physical Appearance Perfectionism scores also showed no significant differences based on exercise habits, although the "comfort with appearance" scores of the participants who exercised were significantly higher (t = 2.00; p < .05). Overall, the students who reported an intense striving for perfection were not comfortable with their appearance and expected negative judgment, whereas those engaging in exercise were comfortable with their appearance.
Journal of Humanities and Social Sciences Research, 2020
Stakeholder engagement has been acknowledged as being a vital approach in delivering successful p... more Stakeholder engagement has been acknowledged as being a vital approach in delivering successful project outcomes. However, there is a limitation of studies on how the stakeholder engagement can indicate the successful implementation of renewable energy projects. The purpose of this study is to fill the gap by investigating the influence of stakeholder engagement indicators towards renewable energy project success. This study suggests second-order model by extending stakeholder engagement indicators as hierarchical and integrating ten associated components. Data was collected through survey questionnaires applied to the Renewable Energy Power Providers (REPPs) in Malaysia, using stratified random sampling. SPSS ver.23 and Smart PLS 3.0 software was applied to test measurement and structural models of this study. The findings revealed that stakeholder relations, stakeholders' communication, stakeholders' learning and stakeholder integration were positively significant towards the renewable energy project success. It is apparent that this study allows contribution to the body of knowledge of project management and offers some important insights into limited literature on stakeholder engagement.This study also sheds light on the key stakeholders' groups in developing successful renewable energy projects.
21st European Signal Processing Conference (EUSIPCO 2013), 2013
True authentication predicted on biometrics has received upsurge attention during the last few ye... more True authentication predicted on biometrics has received upsurge attention during the last few years, as it provides facile way to access the system through basic physical and behavioral characteristics. Face recognition being a non-intrusive recognition requires less participation from the user compared to iris, speech and fingerprint based biometric. Resistance to false authentication from photographs and video playbacks is a vigorous issue for successful biometric system. This paper analyzes different textural features and proposes a novel approach for anti-spoofing solution. Experiments were conducted on a publicly available face spoofing database REPLAY-ATTACK to validate textural analysis over a database containing printed photographs, photos and videos displayed on electronic screens. Results show that the approach is superior to the other existing state of art approaches tested on same database.
IOP Conference Series: Earth and Environmental Science, 2018
The purpose of this study is to investigate the impact of multiple leadership qualities (MLQ) on ... more The purpose of this study is to investigate the impact of multiple leadership qualities (MLQ) on employee commitment in multi-project-based organizsations. The dimensions of leadership qualities develop a healthy organizational environment which will lead to job satisfaction and, ultimately, job commitment. MLQ inspire the subordinates, as collective in nature, to get extra ordinary goals in the hyper competitive era. The main objective of this research is two fold ; firstly, to find out the impact of MLQ on employee job affectiveness and calculative commitment and secondly, to investigate the extent of the impact of MLQ on organizations. A total of 213 respondents were included in the study from different organizations. The data were analyzed through regression analysis by using the SPSS. The finding shows that all of the variables have a positive correlation with each other. The correlation of MLQ and employee job commitment was also found to be significant, which shows that MLQ have an impact on the organizations. Conceptual framework of the study is developed as MLQ an independent variables and its impact has been examined on the Employee Job Commitment. The results supported the hypothesis that MLQ have a positive and significant impact on employee job commitment.
International Journal of Organizational Business Excellence, 2019
In developing countries, governance of public sector projects is becoming increasingly more compl... more In developing countries, governance of public sector projects is becoming increasingly more complex due to the varying nature of stakeholders and their expectations from the government to address their interest. As a result, policymakers and sponsoring agencies are more focusing on stakeholder management to ensure smooth execution, high performance and achieving desired outcomes. This study has conducted a systematic appraisal of the relevant literature to explore the thematic discussions on the role of project governance and stakeholder management in public sector infrastructure projects of Pakistan. The analysis reveals that project governance and stakeholder management is not widely been discussed in the Pakistan specific studies. Therefore, this research proposes project governance and stakeholder management as key concerns of government decision-making strategies.
KnE Social Sciences, 2019
Stakeholder engagement is increasingly becoming a part of practice in delivering successful proje... more Stakeholder engagement is increasingly becoming a part of practice in delivering successful project outcomes. However, there is a limitation of studies on how the stakeholder engagement approaches are being implemented primarily towards mega-scale projects such as renewable energy projects. This paper intends to fill the gap by analyzing the relationship between ten identified constructs of stakeholder engagement and renewable energy project success. Data was collected through survey questionnaires applied to the Renewable Energy Power Providers (REPPs) in Malaysia, using stratified random sampling. SPSS ver.23 and SmartPLS 3.0 was applied to test measurement and structural models of this study. The findings revealed that effective communication, continuous consultation, understand intention and behavior, implement plans, build good relationships, analyze changes, risk mitigation, compromise conflicts, understand project success and good project governance were significant critical ...
Advances in Civil Engineering, 2019
The governance of public sector infrastructure projects became an important area of interest in t... more The governance of public sector infrastructure projects became an important area of interest in the literature on project management. Today, it is a focal point for policymakers to ensure successful appraisal and implementation of government-sponsored programs. This paper aims to investigate the current practices of project governance (PG) for steering the public sector infrastructure program in Pakistan. An empirical investigation was carried out among professionals of public sector organizations involved in different infrastructure development projects. Latent construct of PG was validated through second-order confirmatory factor analysis (CFA) and quantified the three dimensions of PG, i.e., portfolio direction (PD), sponsorship, effectiveness, and efficiency (SEE), and disclosure and reporting (DR) through the relative importance index (RII) method. The result showed that DR is among the least practicing dimension having RII = 0.55, while PD and SEE have shown similar prevalence...
The governance of public sector infrastructure projects became an important topic of interest in ... more The governance of public sector infrastructure projects became an important topic of interest in the project, programme and portfolio management literature during the last decade. Today, it is becoming a central focus for policymakers seeking to ensure success in selecting, designing and implementing government-sponsored programme of multi-projects. Due to the multiple underlying risks and complexities, the governance of infrastructure programme constitutes a critical element in strategic planning in developing countries. This paper has analyzed infrastructure development programme and revealed shortcomings in the areas of appraisal, decision-making, quality assurance and stakeholder management. Approaches to remedy these shortcomings have been proposed.
2016 23rd International Conference on Pattern Recognition (ICPR), 2016
With the success of deep learning in the last few years, the object detection community shifted f... more With the success of deep learning in the last few years, the object detection community shifted from processing on exhaustive sliding windows to smaller set of object proposals using more powerful and deep visual representations. Object proposals increase the accuracy and speed up detection process by reducing the search space. In this paper we propose a novel idea of filtering irrelevant edges using semantic image filtering and true objectness learnt within convolutional layers of CNN. Our approach localizes well proposals by producing highly accurate bounding boxes and reduces the number of proposals. The greatest benefit of our approach is that it can be integrated into any existing method exploiting edge-based objectness to achieve consistently high recall across various intersection over union thresholds. Unlike other supervised methods, our approach does not require bounding box annotations for training. Experiments on PASCAL VOC 2007 dataset demonstrate that our approach improves the state-of-the-art model with a significant margin.
Significance of rehabilitation engineering is gaining popularity with the advancement in technolo... more Significance of rehabilitation engineering is gaining popularity with the advancement in technology as more amputees desire to perform day to day tasks. Researchers are proposing designs and devices related to prosthesis which can achieve principle functions. Ideal upper limb prosthesis is one which can mimic actual hand. Control of Electromyography (EMG) based prosthesis is still in primitive stage as large number of channels is required even for the recognition of only few hand gestures. This study presents classification of essential hand movements for dexterous control of upper limb active prosthesis using surface Electromyography (EMG). Forearm muscles were used to detect these signals. Four pairs of surface electrodes were used with one reference electrode. Thus lesser number of channels used as compared to previous studies. Offline analysis was used to figure out classification accuracy. Time domain feature extraction was done in the initial stage with support vector machine (SVM) analysis used for classification in the later stage. Results showed that hand movements were decoded accurately under latencies of 300ms. Five different movements were classified with the average accuracy between 84-90%.
JPMA. The Journal of the Pakistan Medical Association, 2011
Respiratory dyskinesia is an under-recognized side effect of neuroleptic administration. There ar... more Respiratory dyskinesia is an under-recognized side effect of neuroleptic administration. There are only few studies that have addressed the prevalence of respiratory dyskinesia in patients with tardive dyskinesia. Our case report highlights the need to regularly examine patients on antipsychotics for any evidence of dyskinetic movements including respiratory musculature. Since RD is underrecognized and misdiagnosed, early detection can improve long term prognosis as treatment options are few and usually of only limited effect. A 62-year-old Asian male, retired civil engineer, had more than 20 years history of depressive illness, developed antidepressant induced hypomania, and was given risperidone upto 1 mg per day. He developed extrapyrmidal side effects as tremors, rigidity and later dyskinetic movements of lips with shortness of breathing, dyspnoea, grunting or gasping. He was referred to the pulmonologist who got the neccessary medical work up done, which was normal. A diagnosis...
2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2016
There has been a surge of efforts in cross-modal recognition and retrieval in recent multimedia r... more There has been a surge of efforts in cross-modal recognition and retrieval in recent multimedia research. Towards this goal, we investigate a multi-modal subspace learning algorithm together with the Dropout regularizer. Inspired by the regularization for neural networks, we propose to aritificially remove the effect of certain amount of feature bins using the probabilistic approach to prevent the linear subspace learning from over-fitting. The novel regularizer is well integrated into the multi-modal learning algorithm which maximizes the between-class scatter while minimizing the within-class scatter in the projected latent space. The new objective function can be solved efficiently as the generalized eigenvalue problem. Experimental results have shown that superior performance can be obtained in both face-sketch recognition and cross-modal retrieval applications.
2016 IEEE International Conference on Image Processing (ICIP), 2016
In this study we address the problem of face segmentation in thumbnail images. While there have b... more In this study we address the problem of face segmentation in thumbnail images. While there have been several approaches for face detection, none performs detection in such low resolution and segmentation with pixel accuracy. In this paper, we propose convolutional segmentation networks (CSNs) that can be trained to learn segmentation of human faces. Unlike the deep classifiers such as Convolutional Neural Network (CNNs), CSNs have the unique design solely for segmentation with minimal complexity. Furthermore, we propose a self-data organization (SDO) in order to create “expert” CSNs each of which is specialized over a set of images with certain face characteristics. SDO is integrated with CSN training in an interleaved manner and it is the key for the learning with simple and compact networks rather than the deep ones. This is especially a desired property for the limited face datasets with challenging face variations and complexities. Evaluations on the benchmark dataset show that CSNs can achieve an elegant segmentation accuracy despite the limited training data size, thumbnail resolution and highly complex face modalities.
2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2014
This paper presents our system designed for MSR-Bing Image Retrieval Challenge @ ICME 2014. The c... more This paper presents our system designed for MSR-Bing Image Retrieval Challenge @ ICME 2014. The core of our system is formed by a text processing module combined with a module performing PCA-assisted perceptron regression with random sub-space selection (P2R2S2). P2R2S2 uses Over-Feat features as a starting point and transforms them into more descriptive features via unsupervised training. The relevance score for each query-image pair is obtained by comparing the transformed features of the query image and the relevant training images. We also use a face bank, duplicate image detection, and optical character recognition to boost our evaluation accuracy. Our system achieves 0.5099 in terms of DCG25 on the development set and 0.5116 on the test set.
As a crucial security problem, anti-spoofing in biometrics, and particularly for the face modalit... more As a crucial security problem, anti-spoofing in biometrics, and particularly for the face modality, has achieved great progress in the recent years. Still, new threats arrive in form of better, more realistic and more sophisticated spoofing attacks. The objective of the 2nd Competition on Counter Measures to 2D Face Spoofing Attacks is to challenge researchers to create counter measures effectively detecting a variety of attacks. The submitted propositions are evaluated on the Replay-Attack database and the achieved results are presented in this paper.
PRN: Normative Ethics (Topic), 2017
This paper provide a qualitative analysis on promoting research governance in the higher learning... more This paper provide a qualitative analysis on promoting research governance in the higher learning institutions. The purpose of this paper is to analyse importance of research integrity and ethical practices in higher learning institutions qualitatively for the implementation of good governance in research practices. Qualitative research is utilized to discover the deeper associations that underlie individual researcher’s approach for research integrity avoid any misconduct. Comments on qualitative questions asked to university lecturers were coded systematically. The research quantify the qualitative interview data through data query, and cross tabulation. To synthesize the findings, thematic analysis was used which were interpreted within the study context of promoting governance, research integrity and ethical practices. This paper also provide recommendations for additional research and further discussions on these issues. The thematic findings confirmed that researchers need to ...