Optimizing the Performance of Energy Detection Method using Collaborative Spectrum Sensing in Fading Channel

Sajid Mahmood(사지드 무하마드),Dong Seong Kim(김동성) 제어로봇시스템학회 2015 제어로봇시스템학회 국내학술대회 논문집 Vol.2015 No.5

Virological Response to Conventional Interferon Therapy Combined with Ribavirin against Various HCV Genotypes in Khyber Pakhtunkhwa, Pakistan

Ali, Sajid,Ahmad, Bashir,Ali, Ijaz,Mahmood, Nourin,Anwar, Naveed,Saeedi, Ilyas,Afridi, Jehan Zeb Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.5

Background: Response to antiviral therapy has been linked to different genotypes and this impacts on clinical management. Data on general responses to standard interferon (IFN) against HCV infection exists but little is known regarding HCV genotype specific responses. Purpose: Therefore, we attempted to determine genotype specific responses of chronic HCV patients, having different HCV genotypes, to standard IFN and ribavirin combination therapy administered for a period of six months in Kybher Pakhtunkhwa province of Pakistan. Materials and Methods: HCV genotype was determined for all serum samples. Each patient received standard IFN combination therapy with ribavirin administered at dose of 3 MIU three times a week and 800-1200 mg/day, respectively, for a period of six months. After completion of this therapy, PCR was performed for all course completed subjects. Results: Out of total 51 selected patients the most abundant genotypes were 3a (49.0%) and 1a (21.6%) followed by 3b (9.8%), 1b (7.84%), 2a (7.84%) and untypable (3.94%). Moast responsive genotypes were 2a followed by 3a, with end of treatment responses of 77.7%, and 72.2%. Responses for 3b, 1b and untypable were 66.7%, 33.3% and 0%, respectively. Conclusions: IFN response is efficient in case of 2a and 3a genotypes while in case of untypable genotypes, further categorization is required to know about genomic sequences and to adopt some new regimes against these genotypes.

Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA

Javed, Sajid,Mahmood, Arif,Al-Maadeed, Somaya,Bouwmans, Thierry,Jung, Soon Ki IEEE 2019 IEEE TRANSACTIONS ON IMAGE PROCESSING - Vol.28 No.2

<P>Moving object detection is a fundamental step in various computer vision applications. <I>Robust principal component analysis</I> (RPCA)-based methods have often been employed for this task. However, the performance of these methods deteriorates in the presence of dynamic background scenes, camera jitter, camouflaged moving objects, and/or variations in illumination. It is because of an underlying assumption that the elements in the sparse component are mutually independent, and thus the spatiotemporal structure of the moving objects is lost. To address this issue, we propose a spatiotemporal structured sparse RPCA algorithm for moving objects detection, where we impose spatial and temporal regularization on the sparse component in the form of graph Laplacians. Each Laplacian corresponds to a multi-feature graph constructed over superpixels in the input matrix. We enforce the sparse component to act as eigenvectors of the spatial and temporal graph Laplacians while minimizing the RPCA objective function. These constraints incorporate a spatiotemporal subspace structure within the sparse component. Thus, we obtain a novel objective function for separating moving objects in the presence of complex backgrounds. The proposed objective function is solved using a linearized alternating direction method of multipliers based batch optimization. Moreover, we also propose an online optimization algorithm for real-time applications. We evaluated both the batch and online solutions using six publicly available data sets that included most of the aforementioned challenges. Our experiments demonstrated the superior performance of the proposed algorithms compared with the current state-of-the-art methods.</P>

Background–Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering

Javed, Sajid,Mahmood, Arif,Bouwmans, Thierry,Soon Ki Jung IEEE 2017 IEEE TRANSACTIONS ON IMAGE PROCESSING - Vol.26 No.12

<P>Background estimation and foreground segmentation are important steps in many high-level vision tasks. Many existing methods estimate background as a low-rank component and foreground as a sparse matrix without incorporating the structural information. Therefore, these algorithms exhibit degraded performance in the presence of dynamic backgrounds, photometric variations, jitter, shadows, and large occlusions. We observe that these backgrounds often span multiple manifolds. Therefore, constraints that ensure continuity on those manifolds will result in better background estimation. Hence, we propose to incorporate the spatial and temporal sparse subspace clustering into the robust principal component analysis (RPCA) framework. To that end, we compute a spatial and temporal graph for a given sequence using motion-aware correlation coefficient. The information captured by both graphs is utilized by estimating the proximity matrices using both the normalized Euclidean and geodesic distances. The low-rank component must be able to efficiently partition the spatiotemporal graphs using these Laplacian matrices. Embedded with the RPCA objective function, these Laplacian matrices constrain the background model to be spatially and temporally consistent, both on linear and nonlinear manifolds. The solution of the proposed objective function is computed by using the linearized alternating direction method with adaptive penalty optimization scheme. Experiments are performed on challenging sequences from five publicly available datasets and are compared with the 23 existing state-of-the-art methods. The results demonstrate excellent performance of the proposed algorithm for both the background estimation and foreground segmentation.</P>

Spatiotemporal Low-Rank Modeling for Complex Scene Background Initialization

Javed, Sajid,Mahmood, Arif,Bouwmans, Thierry,Jung, Soon Ki IEEE 2018 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDE Vol.28 No.6

<P>Background modeling constitutes the building block of many computer-vision tasks. Traditional schemes model the background as a low rank matrix with corrupted entries. These schemes operate in batch mode and do not scale well with the data size. Moreover, without enforcing spatiotemporal information in the low-rank component, and because of occlusions by foreground objects and redundancy in video data, the design of a background initialization method robust against outliers is very challenging. To overcome these limitations, this paper presents a spatiotemporal low-rank modeling method on dynamic video clips for estimating the robust background model. The proposed method encodes spatiotemporal constraints by regularizing spectral graphs. Initially, a motion-compensated binary matrix is generated using optical flow information to remove redundant data and to create a set of dynamic frames from the input video sequence. Then two graphs are constructed, one between frames for temporal consistency and the other between features for spatial consistency, to encode the local structure for continuously promoting the intrinsic behavior of the low-rank model against outliers. These two terms are then incorporated in the iterative <I>Matrix Completion</I> framework for improved segmentation of background. Rigorous evaluation on severely occluded and dynamic background sequences demonstrates the superior performance of the proposed method over state-of-the-art approaches.</P>

EVALUATION OF WATER HYACINTH (Eichhornia crassipes) SUPPLEMENTED DIETS ON THE GROWTH, DIGESTIBILITY AND HISTOLOGY OF GRASS CARP (Ctenopharyngodon idella) FINGERLINGS

Noor Khan,Sajid Mahmood 한국수산과학회 양식분과 2015 한국수산과학회 양식분과 학술대회 Vol.2015 No.5

Comparative Study of Carcinoembryonic Antigen Tumor Marker in Stomach and Colon Cancer Patients in Khyber Pakhtunkhwa

Ahmad, Bashir,Gul, Bushra,Ali, Sajid,Bashir, Shumaila,Mahmood, Nourin,Ahmad, Jamshed,Nawaz, Seema Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.11

Background: Due to the increase in morbidity and mortality rate, cancer has become an alarming threat to the human population worldwide. Since cancer is a progressive disorder, timely diagnosis would be helpful to prevent/stop cancer from progressing to severe stage. In Khyber Pakhtunkhwa, Pakistan, most of the time, tumors are diagnosed with endoscopy and biopsy; therefore rare studies exist regarding the diagnosis of gastrointestinal (GIT) carcinomas based on tumor markers, especially CEA. Objectives: This study made a comparative analysis of CEA in admitted hospitalized stomach and colon cancer patients diagnosed as GIT with biopsy. Materials and Methods: In this study, a total of 66 cases were included. The level of CEA was determined in the blood of these patients using ELISA technique. Results: Out of 66 patients, the level of CEA was high in 59.1% of the total, 60.7% in colon cancer patients and 57.9 % in stomach cancer patients. Moreover, the incidence of colorectal and stomach cancer was greater in males as compared to females. Patients were more of the age group of 40-60 and the level of CEA was comparatively higher in patients (51.5%) with histology which was moderately differentiated, than patients with well differentiated and poorly differentiated tumor histology. Conclusions: CEA level was high in more than 50% of the total patients. Moreover, CEA exhibited higher sensitivity for colon than stomach cancer.

Level and Evaluation of Tumor Marker CA-125 in Ovarian Cancer Patients in Khyber Pakhtunkhwa, Pakistan

Ahmad, Bashir,Nawaz, Seema,Ali, Sajid,Bashir, Shumaila,Mahmood, Nourin,Gul, Bushra Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.1

Background: Due to the increase in morbidity and mortality rate, cancer has become an alarming threat to the human population worldwide. Since cancer is a progressive disorder, timely diagnosis is necessary to prevent/stop cancer from progressing to a severe stage. In Khyber Paktunkhwa, Pakistan, many tumors are diagnosed with endoscopy and biopsy; rare studies exist regarding the diagnosis and evaluation of ovarian cancer, based on tumor markers like CA-125. Objectives: The objectives of this study were to investigate and evaluate levels of CA-125 in hospitalized ovarian cancer patients. Materials and Methods: In this study, a total of 63 admitted patients having ovarian cancer by biopsy were included. The level of CA-125 was determined in the blood of these patients using ELISA technique. Results: Out of 63 patients, the level of CA-125 was high in 52%. The affected individuals were more in the group of 40-60 and the level of CA-125 was comparatively higher in patients having moderately differentiated histology than those having well differentiated and poorly differentiated tumor histology. Moreover, the highest level of CA-125 was present among the patients having serous subtype of carcinoma and the common stage of carcinoma was stage II followed by stage III, I and IV. Conclusions: CA-125 level was high in more than 50% of the total patients. Moreover, CA-125 elevation was more common in serous subtype and stage II cancer patients.

Quantum Chemical Designing of Efficient Sensitizers for Dye Sensitized Solar Cells

Muhammad Imran Abdullah,Muhammad Ramzan Saeed Ashraf Janjua,Asif Mahmood,Sajid Ali,Muhammad Ali 대한화학회 2013 Bulletin of the Korean Chemical Society Vol.34 No.7

Density functional theory (DFT) was used to determine the ground state geometries of indigo and new design dyes (IM-Dye-1 IM-Dye-2 and IM-Dye-3). The time dependant density functional theory (TDDFT) was used to calculate the excitation energies. All the calculations were performed in both gas and solvent phase. The LUMO energies of all the dyes were above the conduction band of TiO2, while the HOMOs were below the redox couple (except IM-Dye-3). The HOMO-LUMO energy gaps of new design dyes were smaller as compared to indigo. All new design dyes were strongly red shifted as compared to indigo. The improved light harvesting efficiency (LHE) and free energy change of electron injection ΔGinject of new designed sensitizers revealed that these materials would be excellent sensitizers. The broken coplanarity between the benzene near anchoring group having LUMO and the last benzene attached to TPA unit in all new design dyes consequently would hamper the recombination reaction. This theoretical designing will the pave way for experimentalists to synthesize the efficient sensitizers for solar cells.

Quantum Chemical Designing of Efficient Sensitizers for Dye Sensitized Solar Cells

Abdullah, Muhammad Imran,Janjua, Muhammad Ramzan Saeed Ashraf,Mahmood, Asif,Ali, Sajid,Ali, Muhammad Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.7

Density functional theory (DFT) was used to determine the ground state geometries of indigo and new design dyes (IM-Dye-1 IM-Dye-2 and IM-Dye-3). The time dependant density functional theory (TDDFT) was used to calculate the excitation energies. All the calculations were performed in both gas and solvent phase. The LUMO energies of all the dyes were above the conduction band of $TiO_2$, while the HOMOs were below the redox couple (except IM-Dye-3). The HOMO-LUMO energy gaps of new design dyes were smaller as compared to indigo. All new design dyes were strongly red shifted as compared to indigo. The improved light harvesting efficiency (LHE) and free energy change of electron injection ${\Delta}G^{inject}$ of new designed sensitizers revealed that these materials would be excellent sensitizers. The broken coplanarity between the benzene near anchoring group having LUMO and the last benzene attached to TPA unit in all new design dyes consequently would hamper the recombination reaction. This theoretical designing will the pave way for experimentalists to synthesize the efficient sensitizers for solar cells.