104 research outputs found
Sleep-Aware Wavelength and Bandwidth Assignment Scheme for TWDM PON
No full textPhd, Muhammad Faheem,/0000-0003-4628-4486; Arfeen, Asad/0000-0002-2419-6621; Ashraf, Dr. Muhammad Waqar/0000-0003-1591-7041; Memon, Dr. Kamran Ali/0000-0003-1353-2586; Butt, Rizwan Aslam/0000-0002-4784-0918;The energy efficiency and delay performance of PON are two inversely related phenomena. Higher sleep time of the Optical Network Units (ONUs) results in higher upstream (US) delays due to increased traffic queues during the ONU Asleep state. Although an efficient dynamic bandwidth and wavelength assignment (DWBA) scheme can decrease US delays by minimizing the bandwidth waste and improving the fairness of bandwidth distribution among the ONUs. However, the conventional DWBA schemes are not designed to work with cyclic sleep mode (CSM) and they keep on assigning bandwidth to ONUs even if the ONU is in Asleep state leading to wastage of bandwidth and degraded CSM performance. Therefore, in this work a sleep aware DWBA scheme for TWDM PON is presented to coordinate with CSM mode. It only assign bandwidth to Active ONUs during the guaranteed phase, surplus phase and excess phase allocation phases which minimizes the bandwidth waste and the bandwidth lost at the ONU end. The wavelength switching process is also improved by only considering the Active state ONUs to balance the traffic load on all the wavelengths. The simulation results support our claim as the SA-DWBA scheme on average achieves DWBA schemes due to up to 50% to 65% higher energy savings compared to other due to longer ONU Asleep times. However, the increased upstream delays of all the traffic classes in SA-DWBA scheme remain within the set delay limit of 50 ms.NED University of Engineering and Technology; Higher Education Commission Pakistan [1982]This research is partially supported by the NED University of Engineering and Technology and Higher Education Commission Pakistan for providing financial support for this research work through startup research Grant No. 1982
Proton Pump Inhibitors: Pantoprazole is the safe drug as compared to Omeprazole drug during treatment of Dyslipidemia.
No full textIntroduction: Proton pump inhibitors (PPIs) are commonly used to manage ret-rosternal burning to peptic ulcer disease. Dyslipidemia is also very common in Asian population.Objective: To evaluate the effects of different groups of PPIs like omeprazole, Pan-toprazole, esomeprazole on lipid profile.Methodology: This animal study conducted at the Department of Pharmacology with collaboration of Diagnostic & Research laboratory of Liaquat University of Medical & Health Sciences Jamshoro from 16 Nov to 30 Nov 2020. 24 male rabbit were divided in 3 equal groups. The sample for lipid profile were taken twice; first sample was collected before start of PPPIs, while another sample was taken after six weeks of the treatment with different groups of PPPIs. The lipid profile was ana-lyzed by Cobass Auto analyzer (C-311) of Hitachi at Diagnostic & Research Labora-tory LUMHS. The Statistical analysis was performed by student ‘t’ test and chi square test by using SPSS version 21.Result: The results found were statistically significant (p=<0.05) for omeprazole and esomeprazole while it was insignificant (p=0.247) for pantoprazole. TG’s was signifi-cantly more in group A and B animals as compare to group C animals. Low density Lipoprotein found raised among all groups but the rise was statistically insignifi-cant.Conclusion: Omeprazole exerts significant effects over all observed parameters of lipid profile, esomeprazole showed effects over few parameters, while pantopra-zole showed insignificant effects over lipid profile.Key words: Proton Pump Inhibitors, Low density Lipoprotein, Cholesterol
Traffic-Adaptive Inter Wavelength Load Balancing for TWDM PON
No full textMohammadani, Khalid/0000-0002-7640-9772; Memon, Dr. Kamran Ali/0000-0003-1353-2586; Phd, Muhammad Faheem,/0000-0003-4628-4486; Butt, Rizwan Aslam/0000-0002-4784-0918;This study presents a dynamic inter wavelength migration scheme for the optical network units (ONUs) employing linear regression machine learning method to equalize the traffic volume on all the wavelengths in time and wavelength division multiplexed passive optical network (TWDM PON). The proposed traffic-adaptive wavelength and bandwidth assignment (TA-WBA) scheme not only decreases upstream traffic delays but also offers 2.3% and 30% less delay on the wavelengths balancing the excessive load and 7% less upstream bandwidth waste, when evaluated against other load-balancing scheme.Natural National Science Foundation of China (NSFC) [61727817/61425022/61522501/61605013/61875248/61307086/61475024/61672290/61475094/61675030]; National High Technology 863 Program of China [2015AA015501, 2015AA015502]; Fund of State Key Laboratory of IPOC (BUPT)This work is supported by Natural National Science Foundation of China (NSFC) under Grants 61727817/61425022/61522501/61605013/61875248/61307086/61475024/61672290/61475094/61675030; in part by the National High Technology 863 Program of China under Grants 2015AA015501 and 2015AA015502, and in part by the Fund of State Key Laboratory of IPOC (BUPT)
Biomass for renewable energy production in Pakistan: current state and prospects [Latest Articles]
No full textAssessment of Oral Stereognosis and Denture Satisfaction in Old Denture Wearers: A Retrospective Study
No full textOBJECTIVES
Stereognosis has been investigated occasionally to predict the prognosis of treatment with complete dentures. This study evaluated oral stereognosis and satisfaction levels in completely edentate patients wearing prostheses for at least three months.
METHODOLOGY
From November 2014 and January 2016, data from 322 patients' follow-up visits were collected from records of the Prosthodontics department at Liaquat University of Medical and Health Sciences, Jamshoro. Denture satisfaction was assessed using a self-structured proforma, and oral stereognosis was measured using different-shaped objects made from self-cure acrylic resin, kept in the oral cavity without showing them to the patient. The frequency of qualitative variables was determined for data analysis, and a chi-square test was applied. Significant P-values were defined as those less than 0.
RESULTSThe male-to-female ratio was 1.2:1, with 50.9% wearing a prosthesis for less than a year and the minimum range being 3-6 years (13.66 %). Only 31 had stereognosis positive but were completely satisfied with their prosthesis, while 85 who were unsatisfied were found to have positive sensory perception. Statistical analysis for all groups shows a p-value of 0.000 for patient satisfaction with denture wear which is statistically significant. Most patients with the least duration of wear found their stereognosis positive and were unsatisfied with the prosthesis and vice versa. The chi-square test shows a statistically significant value for both groups of stereognosis i-e 0.0001..
CONCLUSION
Patients with the shortest period of wear were found to be more dissatisfied, but their oral perception remained intact, while those with more experience complained less but had reduced stereognosis
Synergizing AI and HRM: Leveraging Business Analytics for a Future-Ready Workforce
No full textThis chapter explores the integration of Artificial Intelligence (AI) and Human Resource Management (HRM) practices within the Asian business landscape. It offers a comprehensive examination of the evolution of AI in HRM, emphasizing the benefits and potential challenges associated with implementing AI-driven HRM strategies. The discussion highlights the importance of synergizing AI and HRM through business analytics, offering insights into how AI can enhance recruitment, retention, and employee engagement. The author delve into potential ethical, cultural, and legal issues associated with AI-driven HRM, highlighting the necessity for thoughtful and strategic implementation. Finally, the chapter proposes strategies for successfully incorporating AI in HRM, emphasizing the development of AI competencies, fostering a data-driven culture, and ensuring ethical AI deployment. The discussion provides a foundation for future research, policy development, and practical applications in AI-driven HRM, promoting a future-ready workforce in Asia
Novel CO2 Separation Membranes
No full textUsing membranes for CO2 capture has gained recent prominence in the global scientific community due to its lower capital cost and a quicker separation performance than the conventional separation methods. The membrane process features desirable properties, like compactness, energy efficiency, and environmental friendliness. Various polymeric and inorganic materials have been tested both as unique ingredients and blends to form CO2 separation membranes with a focus on increasing the performance but have had varying rates of success. For commercial viability, the membrane sector requires new techniques and testing materials to lower the cost of CO2 capture. Recently, thermally rearranged polymers, intrinsic microporous polymers, ionic liquid inclusion as fillers, and binary fillers have all emerged as novel trends, focusing on enhancing the working efficiency and sustainability of the membranes. This chapter explores the most recent advances in membrane technology and its future prospects as a sustainable solu ion towards carbon dioxide capture. This Page is compulsory Book Title – Sustainable Carbon Capture: Technologies and Applications Chapter Author(s) – Asif Jamil, Department of Chemical Polymer and Composite Material Engineering, University of Engineering and Technology (New Campus), Lahore, Pakistan, [email protected] Muhammad Latif, Institute of Energy and Environmental Engineering, University of the Punjab, 54590, Lahore, Pakistan, [email protected] Alamin Idris Abdulgadir, Department of Engineering and Chemical Sciences, Karlstad University, SE-651 88 Karlstad, Sweden, [email protected] Danial Qadir, Centre for Sustainable Engineering, Teesside University, Middlesbrough, United Kingdom, [email protected] Hafiz Abdul Mannan, Institute of Polymer and Textile Engineering, University of the Punjab, 54590, Lahore, Pakistan, [email protected]</p
Cross-Genre Author Profile Prediction Using Stylometry-Based Approach Notebook for PAN at CLEF 2016
No full textAbstract.Author profiling task aims to identify different traits of an author by analyzing his/her written text. This study presents a Stylometry-based approach for detection of author traits (gender and age) for cross-genre author profiles. In our proposed approach, we used different types of stylistic features including 7 lexical features, 16 syntactic features, 26 character-based features and 6 vocabulary richness (total 56 stylistic features). On the training corpus, the proposed approach obtained promising results with an accuracy of 0.787 for gender, 0.983 for age and 0.780 for both (jointly detecting age and gender). On the test corpus, proposed system gave an accuracy of 0.576 for gender, 0.371 for age and 0.256 for both
Evaluation of the Gag Reflex in Patients Wearing Partial Dentures During Impression Taking
No full textObjective: To determine the frequency of the gag reflex in patient of partial dentures wearerwhile taking impression.Methods: a Cross Sectional descriptive study was done at department of Prosthodontics,Institute of Dentistry, LUMHS, Jamshoro, on 97 prosthodontics patients (removable partialdenture, fixed restoration such as crown, bridge) aged 20 to 60 years and of either genders. Dataregarding demographic characteristics and gag reflex were collected using the Gagging ProblemAssessment Questionnaire (GPA–Patient Short Form). The scores were categorized as mild,moderate, or severe. After all the relevant data collection the analysis was done using IBM SPSSversion 26.Results: Overall mean age of the individuals was 36.93±7.66 years and females were in majority63(64.9%). Out of all partial denture wearers, 92.8% reported experiencing a gag reflex.Additionally the majority of participants (62.9%) had a mild gag reflex, 6(26.8%) had amoderate response, 3(3.1%) reported a severe gag reflex, while 7(7.2%) showed no gag reflex.However the severity of the gag reflex did not show a statistically significant association withage and gender (p-&gt;0.05).Conclusion: This study revealed that a mild to moderate gag reflex was observed the mostcommon among partial denture wearers, particularly during impression procedures involving theupper jaw and posterior oral regions, without its significant association with age or gender.Key words: Partial denture, Gag reflex, Impression
Meta Deep Learn Leaf Disease Identification Model for Cotton Crop
No full textAgriculture is essential to the growth of every country. Cotton and other major crops fall into the cash crops. Cotton is affected by most of the diseases that cause significant crop damage. Many diseases affect yield through the leaf. Detecting disease early saves crop from further damage. Cotton is susceptible to several diseases, including leaf spot, target spot, bacterial blight, nutrient deficiency, powdery mildew, leaf curl, etc. Accurate disease identification is important for taking effective measures. Deep learning in the identification of plant disease plays an important role. The proposed model based on meta Deep Learning is used to identify several cotton leaf diseases accurately. We gathered cotton leaf images from the field for this study. The dataset contains 2385 images of healthy and diseased leaves. The size of the dataset was increased with the help of the data augmentation approach. The dataset was trained on Custom CNN, VGG16 Transfer Learning, ResNet50, and our proposed model: the meta deep learn leaf disease identification model. A meta learning technique has been proposed and implemented to provide a good accuracy and generalization. The proposed model has outperformed the Cotton Dataset with an accuracy of 98.53%
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