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Exploring aramid as emerging contender for CO_2 capture

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Chinese Journal of Chemical Engineering 2016年第7期24卷 850-855页

作者： Sonia Zulfiqar Muhammad Ilyas sarwar Department of Chemistry School of Natural Sciences (SNS) National University of Sciences and Technology (NUST) Department of Chemistry Quaid-i-Azam University

To prevent CO_2 accumulation in the atmosphere generated from scorching of fossil fuels, carbon capture and sequestration(CCS) technology is considered as a potential route to mitigate the emissions of CO_2 from reaching the atmosphere. Power generation from sources such as gas, coal and biomass can fulfill the energy demand more readily than many other sources of electricity production. Thus these sources may be retained as important alternative option in the global energy cycle. In order to curtail CO_2, porous aramid network was fabricated by the condensation of 1,3,5-benzenetricarbonyl trichloride and 1,3-phenylenediamine in 1,4-dioxane solvent. Aramid was characterized for various analyses including FTIR, XRD, TGA, BET surface area and pore size analysis, FESEM and CO_2 adsorption measurements. Excellent thermal stability was provided by strong amide linkages in the polymer backbone. Optimum CO_2 uptake of aramid was achieved to be 23.14 mg·g^(-1) at 273 K at 0.1 MPa. The basic amide groups of network structure showed greater affinity for CO_*** thermal stability of aramid makes it a promising sorbent for CO_2 capture in adverse conditions.

关键词： Greenhouse gasCO2 capturePolymers

An approach to Iocational marginal price based zonal congestion management in deregulated electricity market

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Frontiers in Energy 2016年第2期10卷 240-248页

作者： Md sarwar Anwar Shahzad SIDDIQUI Department of Electrical Engineering Jamia Millia Islamia (A Central University) New Delhi 110025 India

Congestion of transmission line is a vital issue and its management pose a technical challenge in power system deregulation. Congestion occurs in deregulated electricity market when transmission capacity is not sufficient to simultaneously accommodate all constraints of power transmission through a line. Therefore, to manage congestion, a locational marginal price （LMP） based zonal congestion management approach in a deregulated elec- tricity market has been proposed in this paper. As LMP is an economic indicator and its difference between two buses across a transmission line provides the measure of the degree of congestion, therefore, it is efficiently and reliably used in deregulated electricity market for conges- tion management. This paper utilizes the difference of LMP across a transmission line to categorize various congestion zones in the system. After the identification of congestion zones, distributed generation is optimally placed in most congestion sensitive zones using LMP difference in order to manage congestion. The performance of the proposed methodology has been tested on the IEEE 14-bus system and IEEE 57-bus system.

关键词： locational marginal price (LMP) distributed generation pool market deregulated electricity market,congestion management

Probing the potential of polyester for CO_2 capture

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Journal of Environmental Sciences 2014年第7期26卷 1423-1427页

作者： Sonia Zulfiqar Muhammad Ilyas sarwar Department of Chemistry School of Natural Sciences (SNS) National University of Sciences and Technology (NUST)Islamabad 44000 Pakistan Department of Chemistry Quaid-i-Azam University Islamabad 45320 Pakistan

Global warming, the major environmental issue confronted by humanity today, is caused by rising level of green house gases. Carbon capture and storage technologies offer potential for tapering CO2 emission in the atmosphere. Adsorption is believed to be a promising technology for CO2 capture. For this purpose, a polyester was synthesized by polycondensation of1,3,5-benzenetricarbonyl trichloride and cyanuric acid in pyridine and dichloromethane mixture. The polymer was then characterized using FT-IR, TGA, BET surface area and pore size analysis, FESEM and CO2 adsorption measurements. The CO2 adsorption capacities of the polyester were evaluated at a pressure of 1 bar and two different temperatures（273 and 298 K）.The performance of these materials to adsorb CO2 at atmospheric pressure was measured by optimum CO2 uptake of 0.244 mmol/g at 273 K. The synthesized polyester, therefore, has the potential to be exploited as CO2 adsorbent in pre-combustion capture process.

关键词： PolyesterCO2 captureTGAFESEM

Regional Impact of Cyclone Sidr in Bangladesh: A Multi-Sector Analysis

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International Journal of Disaster Risk Science 2016年第3期7卷 312-327页

作者： Afsana Haque sarwar Jahan Department of Urban and Regional Planning Bangladesh University of Engineering and Technology(BUET)

This research investigates the impact of cyclone Sidr on six regional economic systems of Bangladesh. The study uses secondary data on direct damages and corresponding changes in consumer spending and public/private investment expenditure. It employs input–output modeling and simulates the changes in national and regional output,income, and employment due to cyclone Sidr. Our findings indicate that coastal regions of Bangladesh—Barisal,Chittagong, and Khulna—are more vulnerable to cyclone disaster than are other parts of the country. The cycloneinduced loss of output is highest for Chittagong Division and income and employment losses are greatest in Barisal Division. The most affected sectors are housing services,agriculture, construction, and industrial activities. But sectoral losses vary widely across the regions. This research also finds that the present state of consumer spending and investment expenditure is not great enough to handle cyclone-induced output, income, and employment losses. It argues that investment decisions must consider regional patterns of output, income, and employment losses in different economic sectors to ensure cyclone-resilient development in Bangladesh.

关键词： Bangladesh Cyclone Sidr Input-output model Regional impact Sectoral impact

Improved Ant Lion Optimizer with Deep Learning Driven Arabic Hate Speech Detection

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Computer Systems Science & Engineering 2023年第9期46卷 3321-3338页

作者： Abdelwahed Motwakel Badriyya B.Al-onazi Jaber S.Alzahrani sana Alazwari Mahmoud Othman Abu sarwar Zamani Ishfaq Yaseen Amgad Atta Abdelmageed Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Language Preparation Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaifP.O.Box 11099Taif21944Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Arabic is the world’s first language,categorized by its rich and complicated grammatical ***,the Arabic morphology can be perplexing because nearly 10,000 roots and 900 patterns were the basis for verbs and *** Arabic language consists of distinct variations utilized in a community and particular *** media sites are a medium for expressing opinions and social phenomena like racism,hatred,offensive language,and all kinds of verbal *** conduct does not impact particular nations,communities,or groups only,extending beyond such areas into people’s everyday *** study introduces an Improved Ant Lion Optimizer with Deep Learning Dirven Offensive and Hate Speech Detection(IALODL-OHSD)on Arabic *** presented IALODL-OHSD model mainly aims to detect and classify offensive/hate speech expressed on social *** the IALODL-OHSD model,a threestage process is performed,namely pre-processing,word embedding,and ***,data pre-processing is performed to transform the Arabic social media text into a useful *** addition,the word2vec word embedding process is utilized to produce word *** attentionbased cascaded long short-term memory(ACLSTM)model is utilized for the classification ***,the IALO algorithm is exploited as a hyperparameter optimizer to boost classifier *** illustrate a brief result analysis of the IALODL-OHSD model,a detailed set of simulations were *** extensive comparison study portrayed the enhanced performance of the IALODL-OHSD model over other approaches.

关键词： Hate speech offensive speech Arabic corpora natural language processing social networks

Statistical Inference of User Experience of Multichannel Audio on Mobile Phones

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Computers, Materials & Continua 2020年第11期65卷 1253-1270页

作者： Fesal Toosy Muhammad sarwar Ehsan University of Central Punjab Lahore54700Pakistan

Mobile phones and other handheld electronic devices are now ubiquitous and play an important role in our everyday *** the last decade,we have seen a sharp rise in the sophistication of both hardware and software for these devices,thus significantly increasing their utility and *** devices are now commonly used for the streaming of audio and video and for the regular playback of *** audio has now become a popular format and with recent updates in software,the latest audio codecs that support this format can effectively be played back on most electronic *** a result,more audio content that is now compatible with these devices is being *** is important to perform subjective quality tests for multichannel audio verses traditional stereo and mono on devices like mobile phones while using *** paper presents the results and analysis of such listening tests that evaluate basic audio quality and quality of *** results show that while multichannel audio scores higher than stereo and mono for both of these attributes,the difference in score was less for the ratings of quality of *** results were processed using an Analysis of Variance(ANOVA)to show the statistical *** of the effect size showed that the audio content had little bearing on the results.

关键词： Subjective assessment multichannel audio MUSHRA listening test

Methanol-based biomanufacturing of fuels and chemicals using native and synthetic methylotrophs

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Synthetic and Systems Biotechnology 2023年第3期8卷 396-415页

作者： Arslan sarwar Eun Yeol Lee Department of Chemical Engineering(BK21 FOUR Integrated Engineering Program) Kyung Hee UniversityYongin-siGyeonggi-do17104Republic of Korea

Methanol has recently gained significant attention as a potential carbon substrate for the production of fuels and chemicals,owing to its high degree of reduction,abundance,and low *** methylotrophic yeasts and bacteria have been investigated for the production of fuels and ***,synthetic methylotrophic strains are also being developed by reconstructing methanol utilization pathways in model microorganisms,such as Escherichia *** to the complex metabolic pathways,limited availability of genetic tools,and methanol/formaldehyde toxicity,the high-level production of target products for industrial applications are still under development to satisfy commercial *** article reviews the production of biofuels and chemicals by native and synthetic methylotrophic *** also highlights the advantages and limitations of both types of methylotrophs and provides an overview of ways to improve their efficiency for the production of fuels and chemicals from methanol.

关键词： Native methylotrophs Synthetic methylotrophs Pichia pastoris Methylobacterium extorquens Bacillus methanolicus Escherichia coli

Implication of machine learning techniques to forecast the electricity price and carbon emission:Evidence from a hot region

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Geoscience Frontiers 2024年第3期15卷 259-271页

作者： Suleman sarwar Ghazala Aziz Aviral Kumar Tiwari Department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia Department of Business Administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia Indian Institute of Management BodhgayaIndia

The current study examines the significant determinants of electricity consumption and identifies an appropriate model to forecast the electricity price *** main contribution is focused on eastern region of Saudi Arabia,a relatively hottest geographical area full of energy resources but with different electricity consumption *** relative irrelevance of temperature as predicting factor of electricity consumption is quite surprising and contradicts the previous *** the eastern region,electricity price has negative association with electricity *** comparing traditional and machine learning,it is found that machine learning techniques offer better *** the machine learning techniques,the support vector machine has the lowest errors in forecasting the electricity ***,the support vector machine approach is used to forecast the trend of carbon emissions caused by electricity *** findings have policy implications and offer valuable suggestions to policymakers while addressing the determinants of electricity consumption and forecasting electricity prices.

关键词： Electricity consumption Carbon emission Artificial neural network Support vector machine Saudi Arabia

Improved Hybrid Deep Collaborative Filtering Approach for True Recommendations

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Computers, Materials & Continua 2023年第3期74卷 5301-5317页

作者： Muhammad Ibrahim Imran sarwar Bajwa Nadeem sarwar Haroon Abdul Waheed Muhammad Zulkifl Hasan Muhammad Zunnurain Hussain Department of Computer Science The Islamia University of BahawalpurBahawalpurPakistan Department of Computer Science Bahria University Lahore CampusLahorePakistan Software Engineering Department Faculty of ITUniversity of Central PunjabLahorePakistan Faculty of Computer Science and Information Technology Universiti Putra MalaysiaSelangorMalaysia

Recommendation services become an essential and hot research topic for researchers *** data such asReviews play an important role in the recommendation of the *** was achieved by deep learning approaches for capturing user and product information from a short ***,such previously used approaches do not fairly and efficiently incorporate users’preferences and product *** proposed novel Hybrid Deep Collaborative Filtering(HDCF)model combines deep learning capabilities and deep interaction modeling with high performance for True *** overcome the cold start problem,the new overall rating is generated by aggregating the Deep Multivariate Rating DMR(Votes,Likes,Stars,and Sentiment scores of reviews)from different external data sources because different sites have different rating scores about the same product that make confusion for the user to make a decision,either product is truly popular or *** proposed novel HDCF model consists of four major modules such as User Product Attention,Deep Collaborative Filtering,Neural Sentiment Classifier,and Deep Multivariate Rating(UPA-DCF+NSC+DMR)to solve the addressed *** results demonstrate that our novel model is outperforming state-of-the-art IMDb,Yelp2013,and Yelp2014 datasets for the true top-n recommendation of products using HDCF to increase the accuracy,confidence,and trust of recommendation services.

关键词： Neural sentiment classification user product attention deep collaborative filtering multivariate rating artificial intelligence