Zn-modified mesoporous Al₂O₃ for CO₂ hydrogenation to methanol

( Mansoor Ali ),배종욱 한국공업화학회 2019 한국공업화학회 연구논문 초록집 Vol.2019 No.1

For the reduction of atmospheric CO₂ emission, considerable achievements have been made in CO₂ hydrogenation to various chemicals such as alcohols, lower olefins and fuels. However, the synthesis of aromatics from one-pass CO₂ hydrogenation is still a great challenge owing to the extreme inertness of CO₂ and higher C-C coupling barrier. Therefore, the mesoporous Zn/Al₂O₃ by varying Zn content was investigated for the CO₂ hydrogenation to methanol and dimethyl ether (DME). At a relatively higher temperature, ZnO and ZnAl₂O₄ were active for CO₂ hydrogenation and Lewis acidic Al₂O₃ sites were active for methanol dehydration to DME. Furthermore, Zn/Al₂O₃ in combination with HZSM-5 was prepared to directly synthesize aromatics from oxygenates formed by CO₂ hydrogenation.

Reaching a Nonlinear Consensus: Polynomial Stochastic Operators

Mansoor Saburov,Khikmat Saburov 제어·로봇·시스템학회 2014 International Journal of Control, Automation, and Vol.12 No.6

We provide a general nonlinear protocol for a structured time-varying and synchronous multi-agent system. We present an opinion sharing dynamics of the multi-agent system as a trajectory of a polynomial stochastic operator associated with a multidimensional stochastic hypermatrix. We show that the multi-agent system eventually reaches to a consensus if either one of the following two conditions is satisfied: (i) every member of the group people has a positive subjective opinion on the given task after some revision steps or (ii) all entries of a multidimensional stochastic hypermatrix are positive. Numerical results are also presented.

System Identification of an Airship using Trust Region Reflective Least Squares Algorithm

Mansoor Ahsan,Mohammad Ahmad Choudhry 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.3

Lighter than air vehicles present feasible solutions to several problems in aviation industry. Dynamicmodeling of airships, however, poses enhanced complexities due to the effects of buoyancy-based static lift and virtualmass and inertia. System identification is an established technique for modeling aerial vehicles, but it generallyrequires huge amount of flight data, acquired through costly sensors operating at high sampling rates. Earlier airshipidentification works have used output/filter error methods, evolution strategies and subspace identification methods;all using large sets of estimation data. In this research, the longitudinal dynamics of a 30 ft long unmanned airshiphave been modeled using very less estimation data. During airship’s flight experiment, flight data was recorded at aminimal sampling frequency of 8 Hz, using low-cost sensors. The less estimation data was compensated by iterativeestimation technique, instead of one-step estimation. The flight data was subjected to trust region reflective leastsquares algorithm that is based on a relatively new and efficient optimization method. The model estimation qualitywas quantified by residual analysis and Akaike’s criterion of final prediction error. The promising cross-validationresults show that the adopted identification approach is suitable and cost-effective for modeling of complex airshipdynamics.

Outlier Detection in Indoor Localization and Internet of Things (IoT) using Machine Learning

Mansoor Ahmed Bhatti,Rabia Riaz,Sana Shokat,Farina Riaz,Se Jin Kwon 한국통신학회 2020 Journal of communications and networks Vol.22 No.3

In Internet of things (IoT) millions of devices are intelligently connected for providing smart services. Especially in indoor localization environment, that is one of the most concerningtopic of smart cities, internet of things and wireless sensor networks. Many technologies are being used for localization purposein indoor environment and Wi-Fi using received signal strengths(RSSs) is one of them. Wi-Fi RSSs are sensitive to reflection, refraction, interference and channel noise that cause irregularity insignal strengths. The irregular and anomalous RSS values, used ina Wi-Fi indoor localization environment, cannot define the locationof any unknown node correctly. Therefore, this research has developed an outlier detection technique named as iF_Ensemblefor Wi-Fi indoor localization environment by analyzing RSSs using the combination of supervised, unsupervised and ensemble machine learning methods. In this research isolation forest (iForest)is used as an unsupervised learning method. Supervised learningmethod includes support vector machine (SVM), K-nearest neighbor (KNN) and random forest (RF) classifiers with stacking thatis an ensemble learning method. For the evaluation purpose accuracy, precision, recall, F-score and ROC-AUC curve are used. Theevaluation of used machine learning method provides high accuracy of 97.8 percent with proposed outlier detection methods andalmost 2 percent improvement in the accuracy of localization process in indoor environment after eliminating outliers.

Effects of a Recessed Camel-gate Head Structure on Normally-off AlGaN/GaN HEMTs

Mansoor Ali Khan,허준우,김영진,박현창,박형무,김현석,문재경 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.62 No.5

In this paper, a standalone camel-gate (┐) head structure has been studied to investigate the effects of the field plate (FP) in the source access region in AlGaN/GaN high electron mobility transistors (HEMTs). The camel gate serves as an FP toward the source side. Using this concept of the camel gate, the transconductance and other forward characteristics have been analyzed with regard to the T-gate. It is confirmed that the recessed camel-gate FP scaling enhances the breakdown voltage, transconductance, and output current by reducing the electric field, leakage current, and dispersion in the source access regime. Further, the optimized recessed camel-gate AlGaN/GaN HEMT is suitable for use in RF devices, as it exhibits a frequency in the order of gigahertz.

Preparation of multi-walled carbon nanotube incorporated MIL-53-Cu composite metal–organic framework with enhanced methane sorption

Mansoor Anbia,Sara Sheykhi 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.5

Multi-walled carbon nanotubes (MWCNTs) incorporated MIL-53-Cu composite MOF material (MWCNT@MIL-53-Cu) has been synthesized by adding purified multi-walled carbon nanotube (MWCNT) in situ during the synthesis of MIL-53-Cu. Resulting sample was characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), Brunauer–Emmet–Teller (BET), and FT-IR analysis. Methane sorption capacities of MIL-53-Cu were observed to increase from 8.52 to 13.72 mmol g-1 at 298 K and 35 bar. The increment in the methane uptake capacities of composite MOF materials was attributed to the decrease in the pore size and enhancement of micropore volume of MIL-53-Cu by multi-walled carbon nanotube incorporation.

Estimation of Residues of Atrazine and Isoproturon on Wheat Grains Stored in the Storages of Faisalabad District, Pakistan

Mansoor-ul-Hasan,Waqas Wakil,Faiza Bashir,Muhammad Sagheer 한국응용곤충학회 2005 한국응용곤충학회 학술대회논문집 Vol.2005 No.05

Sorption of methane, hydrogen and carbon dioxide on metal-organic framework,iron terephthalate (MOF-235)

Mansoor Anbia,Vahid Hoseini,Sara Sheykhi 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.3

Iron terephthalate, MOF-235, metal-organic framework synthesized hydrothermally and was used for gas adsorption. Resulting sample was characterized by X-ray diffraction (XRD), Brunauer–Emmet–Teller (BET) and FT-IR analysis. Adsorption properties of CH4, H2 and CO2 on MOF-235 were investigated by volumetric measurements. The absolute adsorption capacity was found in the order of CH4 >> H2 > CO2. The high CH4 adsorption capacity of MOF-235 was attributed to the high pore volume and large number of open metal sites. The high selectivity for CH4 over CO2 (14.7) and H2 (8.3), suggests that MOF-235 is a potential adsorbent for the separation of CH4 from gas mixtures.

Outcomes of Primary Unilateral Cheiloplasty in Same-Day Surgical Settings

Mansoor Khan,Hidayat Ullah,Asif Aziz,Muhammad Tahir 대한성형외과학회 2016 Archives of Plastic Surgery Vol.43 No.3

Background Financial, clinical, and psychological considerations have made same-day surgery an attractive option for a variety of procedures. This article aimed to analyse the postoperative results of same-day primary unilateral cleft nasolabial repair. Methods This study was performed from 2011 to 2014. Unilateral cleft lip patients fulfilling the inclusion criteria were preoperatively classified as mild, moderate, and severe. All patients underwent same-day surgery and were discharged after satisfying the appropriate clinical criteria, receiving thorough counselling, and the establishment of a means of communication by phone. Postoperative outcomes were assessed and stratified according to preoperative severity and the type of repair. Results A total of 423 primary unilateral cleft lip patients were included. Fisher’s anatomical subunit approximation technique was the most common procedure, followed by Noordhoff’s technique. The postoperative outcome was good in 89.8% of cases, fair in 9.9% of cases, and poor in 0.2% of cases. The complication rate was 1.18% (n=5), and no instances of mortality were observed. The average hospital stay was 7.5 hours, leading to a cost reduction of 19% in comparison with patients who stayed overnight for observation. Conclusions Mild unilateral cleft lip was the most common deformity for which Fisher’s anatomical subunit approximation technique was performed in most of the cases, with satisfactory postoperative outcomes. Refinements in the cleft rhinoplasty techniques over the course of the study improved the results regarding cleft nasal symmetry. Single-day primary unilateral cleft cheiloplasty was found to be a cost-effective procedure that did not pose an additional risk of complications.

Factors influencing use of institutional delivery services in rural Bangladesh

( Mansoor Ahmed ),( Minhaj Uddin ),( Jung Hye Hwang ),( Soo Jeung Choi ),( Ha Yun Kim ),( Hyea Bin Lm ),( Dongwoon Han ) 한국모자보건학회 2016 한국모자보건학회 학술대회 연제집 Vol.2016 No.2

Background Institutional delivery is very important in reducing maternal and neonatal mortality; however, several women deliver outside of health facilities in Bangladesh. Therefore, objective of this study was to determine the prevalence of institutional deliveries and identify factors influencing institutional deliveries among women in rural Bangladesh. Methods A community-based cross-sectional study from August to September 2015 was conducted with women who gave birth in the last two years prior to the study in Kurigram District, Rangpur division, Bangladesh. Using a stratified sampling method, a total of 348 participants were enrolled in the study. Data were collected via pretested standardized questionnaire. Using SPSS version 21, chi-square and binary logistic regression analyses were carried out to determine factors influencing use of institutional delivery services. Results Among 348 participating women (mean age: 24.36 ± 4.18), it was found that only 83 (23.9%) went for institutional delivery and the remaining 76.1% delivered in home. Reasons for home delivery included: feeling embarrassed in hospital (92.8%), more comfortable at home (83.8%), long distance to health facility (46.4%) and high costs in hospital (38.1%). The factors significantly influencing institutional delivery included women’ s education (OR: 9.859; p=0.036), knowledge of institutional delivery services (OR: 8.064; p=0.007), women,s knowledge about danger signs of pregnancy (OR: 47.35; p〈0.000), pregnancy related complications (OR: 5.182; p〈0.000), and four or more antenatal care (ANG) visits (OR: 4.627; p=0.049). Conclusions This study found very low prevalence of skilled institutional delivery in rural Bangladesh. Findings of the study suggest that number of ANG visits, women’ s education and knowledge on pregnancy and delivery services can play very crucial role to increase the uptake of institutional delivery services. Health policies, health promotion and education programs should focus on these factors in order to reduce the number of preventable maternal and neonatal deaths. Efforts from different sections of the society using multisectoral approach can help in improving the maternal, newborn and child health.