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On Deterministic Approaches to Attitude Determination with Magnometer in Eclipse

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On Deterministic Approaches to Attitude Determination with M...

On Identification of Nonlinear Systems Using Volterra Kernels Expansion on Laguerre and Wavelet Function

2010 Chinese Control and Decision Conference

作者： Hoda Moodi danyal bustan Alumni from Department of Electrical Engineering Sharif University of TechnologyTehranIran School of Engineering Ferdowsi University of MashadMashadIran

＜正＞A gyroless deterministic attitude determination algorithm based on simulation of sun in eclipse is stated in this paper and has been compared to stochastic filters like extended Kalman filter and unscented Kalman *** determination with low cost sensors such as magnometer and sun sensor results in usage of recursive algorithms such as Kalman filter which has the probability of divergence,but with deterministic point to point algorithm such as the one introduced in this paper we can be sure to have an attitude determination with a fixed maximum *** method has been compared with Extended Kalman Filter and Unscented Kalman filter due to its modeling error,robustness and amount of *** determination is based on magnetic sensors and sun *** panels are modeled for a hexagonal satellite as an alternative for sun sensors and sun vector is derived from panels current.

关键词： deterministic attitude determination algorithm EKF UKF magnometer solar panels

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On Identification of Nonlinear Systems Using Volterra Kernel...

Epidemiology of civilian blast injuries inflicted by terrorist bombings from 1970-2016

2010 Chinese Control and Decision Conference

作者： Hoda Moodi danyal bustan Department of Electrical Engineering Sharif University of TechnologyTehranIran School of Engineering Ferdowsi University of MashadMahad Iran

＜正＞Application of Volterra series to the modeling of static and dynamic nonlinear systems is investigated in this paper and compared to other *** nonlinear systems with memory,Volterra series serves as a generalization of convolution *** parameterize the Volterra kernels for limited dimension series,different methods are *** use Laguerre functions and wavelet packets as orthonormal basis and we find the poles for the basis through a genetic algorithm *** test system is a hydraulic actuator with a highly nonlinear dynamics which is modeled with Volterra *** results show that dynamic model with wavelet packets give a more accurate model with respect to a static model with an LTI orthonormal function.

关键词： Volterra Series Nonlinear System Modeling Orthonormal Basis Wavelet Packets Hydraulic Actuator

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Defence Technology（防务技术） 2018年第5期14卷 469-476页

作者： danyal Magnus Mansoor A.Khan William G.Proud Institute of Shock Physics Blackett Laboratory Imperial College London Department of Surgery and Trauma Imperial College London St Mary's Hospital

An upsurge of terrorist activity has occurred in the past two decades. As part of this, explosive devices continue to be extensively deployed against civilians in wide-ranging environments. Bombings remain the leading worldwide cause of civilian fatalities due to terrorism. This demands an understanding of modern terrorist bombing trends to inform mitigation strategy. The objective of this study was to identify the occurrence and severity of bombings against civilian targets in diverse attack settings, and to establish corresponding blast injury profiles. Data was obtained from analysis of the Global Terrorism Database(GTD) and a meta-analysis of blast injury data derived from the PubMed database. Closed environment explosions were associated with significantly greater(p<0.05) mortality than in open spaces. The injury profiles were found to be influenced by attack setting, with higher rates of primary injury on trains and buses, and secondary injury in open space.

关键词： Terrorism Bombings Blast injury Epidemiology Blast mitigation

Predictive modeling of COVID-19 death cases in Pakistan

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Infectious Disease Modelling 2020年第1期5卷 897-904页

作者： Muhammad Daniyal Roseline Oluwaseun Ogundokun Khadijah Abid Muhammad danyal Khan Opeyemi Eyitayo Ogundokun Department of Statistics Islamia University of BahawalpurPakistan Department of Computer Science Landmark University Omu AranNigeria Research Evaluation Unit College of Physicians&SurgeonsPakistan Gillani Law College BZU MultanPakistan Directoriate Department Audit SectionAgricultural and Rural Management Training InstituteIlorinNigeria

Background:The world is presently facing the challenges posed by COVID-19(2019-nCoV),especially in the public health sector,and these challenges are dangerous to both health and *** disease results in an acute respiratory infection that may result in pain and *** Pakistan,the disease curve shows a vertical trend by almost 256K established cases of the diseases and 6035 documented death cases till August 5,***:The primary purpose of this study is to provide the statistical model to predict the trend of COVID-19 death cases in *** age and gender of COVID-19 victims were represented using a descriptive ***:ology:Three regression models,which include Linear,logarithmic,and quadratic,were employed in this study for the modelling of COVID-19 death cases in *** three models were compared based on R2,Adjusted R2,AIC,and BIC *** data utilized for the modelling was obtained from the National Institute of Health of Pakistan from February 26,2020 to August 5,***:The finding deduced after the prediction modelling is that the rate of mortality would decrease by the end of *** total number of deaths will reach its maximum point;then,it will gradually *** indicates that the curve of total deaths will continue to be flat,i.e.,it will shift to be constant,which is also the upper bound of the underlying function of absolute death.

关键词： Coronavirus COVID-19 Public health Epidemic Modelling Model selection criteria

Initial search for low grade clay in Pakistan for producing LC^(3) ecofriendly cement

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Low-carbon Materials and Green Construction 2023年第1期1卷 193-204页

作者： Syed Muhammad Fahad Hussain Muhammad danyal Sheikh Tariq Jamil Asad-ur-Rehman Khan Tehmina Ayub Chuanlin Hu Department of Mechanical Engineering NED University of Engineering&Technology University RoadKarachi 75270Pakistan Department of Civil Engineering NED University of Engineering&Technology University RoadKarachi 75270Pakistan State Key Laboratory of Silicate Materials for Architectures Wuhan University of TechnologyWuhan 430070China

Industrialization has though brought comfort to our daily lives,but it has placed a lot of pressure on the planet’s natural resources,subsequently,it has adversely affected the *** the need for cement in the construction sector has grown,it has climbed dramatically *** the world,more than 10 billion cubic meters of concrete are produced each year;it is doubtful that this volume will decrease.A significant expected rise in CO_(2) emissions is caused by increased cement *** to the UN Environment Program,buildings are responsible for up to 41%of global anthropogenic carbon *** primary source of greenhouse gases utilized in the manufacturing of cement is *** to the unsustainable supply of fly ash,calcined clay appears to be a better Supplemental Cementitious Material(SCMs).Kaolin clay is widely available in *** purpose of this investigation is to describe the mineral and thermal characteristics of Pakistani clays by examining their geographic *** samples were gathered from 39 different places throughout Pakistan during a field investigation program.X-ray diffraction,X-ray Fluorescence,Reactivity,and thermogravimetric analyses were used to analyze the clay samples’mineral content and thermal *** study demonstrates that Pakistan has a substantial amount of kaolin clay reserves close to existing groups of cement *** clays can be utilized as SCM in the production of limestone calcined clay cement(LC^(3))due to the country’s vast kaolin clay *** study further supports the viability of producing LC^(3) in the nation by providing a thorough analysis of the cement business,known deposits of qualifying clay,and the country’s cement production process.

关键词： Pakistani clay Kaolinite content SCM Cement Deposits

Sentiment Analysis Based on Performance of Linear Support Vector Machine and Multinomial Naïve Bayes Using Movie Reviews with Baseline Techniques

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Journal on Big Data 2023年第1期5卷 1-18页

作者： Mian Muhammad danyal Sarwar Shah Khan Muzammil Khan Muhammad Bilal Ghaffar Bilal Khan Muhammad Arshad Department of Computer Science City University of Science&TechnologyPeshawar25000Pakistan Department of Computer Science and Software Technology University of SwatSwat19200Pakistan Department of Computer Software Engineering University of Engineering&Technology MardanMardan23200Pakistan Department of Computer Science IQRA National UniversitySwat19200Pakistan

Movies are the better source of *** year,a great percentage of movies are *** comment on movies in the form of reviews after watching *** it is difficult to read all of the reviews for a movie,summarizing all of the reviews will help make this decision without wasting time in reading all of the *** mining also known as sentiment analysis is the process of extracting subjective information from textual *** mining involves identifying and extracting the opinions of individuals,which can be positive,neutral,or *** task of opinion mining also called sentiment analysis is performed to understand people’s emotions and attitudes in movie *** reviews are an important source of opinion data because they provide insight into the general public’s opinions about a particular *** summary of all reviews can give a general idea about the *** study compares baseline techniques,Logistic Regression,Random Forest Classifier,Decision Tree,K-Nearest Neighbor,Gradient Boosting Classifier,and Passive Aggressive Classifier with Linear Support Vector Machines and Multinomial Naïve Bayes on the IMDB Dataset of 50K reviews and Sentiment Polarity Dataset Version *** applying these classifiers,in pre-processing both datasets are cleaned,duplicate data is dropped and chat words are treated for better *** the IMDB Dataset of 50K reviews,Linear Support Vector Machines achieve the highest accuracy of 89.48%,and after hyperparameter tuning,the Passive Aggressive Classifier achieves the highest accuracy of 90.27%,while Multinomial Nave Bayes achieves the highest accuracy of 70.69%and 71.04%after hyperparameter tuning on the Sentiment Polarity Dataset Version *** study highlights the importance of sentiment analysis as a tool for understanding the emotions and attitudes in movie reviews and predicts the performance of a movie based on the average sentiment of all the reviews.

关键词： Opinion mining machine learning movie reviews IMDB Dataset of 50K reviews Sentiment Polarity Dataset Version 2.0

重离子储存环CSRe上激光冷却相对论能量类锂^(12)C^(3＋)离子束的实验研究进展

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中国科学：物理学、力学、天文学 2016年第5期46卷 98-108页

作者：汶伟强汪寒冰黄忠魁张大成海帮朱小龙啜晓亚赵冬梅杨杰李杰李小妮冒立军毛瑞士武军霞夏佳文杨建成原有进赵红卫赵铁成 EIDAM Lewin LOESER Markus REIN Benjamin SIEBOLD Matthias WINTERS danyal BUSSMANN Michael 马新文中国科学院近代物理研究所兰州730000 中国科学院大学北京100049 GSI Helmholtzzentrum fur Schwerionenforschung GmbH Darmstadt D-64291Germany Helmholtz-Zentrum Dresden-Rossendorf Dresden D-01328Germany Technische Universitat Darmstadt Darmstadt D-64289Germany

激光冷却储存环中相对论能量的重离子束是最有希望得到高相空间密度离子束、实现离子束相变并且获得有序束和晶化束的一种方法.相对于已经比较成熟的随机冷却和电子冷却技术,储存环上重离子束的激光冷却具有冷却速度快,冷却作用力强的特... 详细信息

激光冷却储存环中相对论能量的重离子束是最有希望得到高相空间密度离子束、实现离子束相变并且获得有序束和晶化束的一种方法.相对于已经比较成熟的随机冷却和电子冷却技术,储存环上重离子束的激光冷却具有冷却速度快,冷却作用力强的特点,可以将离子束冷却到极低温度(mK),在激光冷却的同时还可以开展高电荷态离子的精细激光谱学实验.本文介绍了中国科学院近代物理研究所大科学装置重离子冷却储存环CSRe上开展激光冷却重离子束的实验原理和实验方法,给出了在CSRe上首次激光冷却能量为122 MeV/u的类锂^(12)C^(3+)离子束测试性实验结果,并且展望了在未来大型加速器HIAF上开展类锂类钠高电荷态离子的激光冷却和精细激光谱学实验.

关键词：激光冷却高电荷态离子重离子储存环晶化束束流动力学

4-9 Progress of Laser Cooling of 12C3+ Ions at the CSRe

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IMP & HIRFL Annual Report 2014年第1期 187-187页

作者： Wang Hanbing Wen Weiqiang Huang Zhongkui Zhang Dacheng Hai Bang Zhu Xiaolong Li Jie Mao Lijun Mao Ruishi Yang Jiancheng Yuan Youjin Xia Jiawen Lewin Eidam Benjamin Rein Markus Loeser Zhu jiangfeng danyal Winters Michael Bussmann Ma Xinwen 不详 Technische Universit¨at Darmstadt Germany Helmholtz-Zentrum Dresden-Rossendorf Germany Xidian University China GSI Germany

Laser cooling is one of the most promising techniques to reach high phase-space densities and achieve phasetransition, ordered beam even crystalline beam for relativistic heavy ion beams at storage rings[1]. In order torealize laser cooling at the CSRe in IMP, we performed a test experiment by using a pulsed laser system to coolthe relativistic 12C3+ ion beams on the CSRe in September 2014. Fig. 1 is the schematic view of the experimentalsetup.

关键词： Progress Laser Cooling