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Effective age of information in real-time wireless feedback control systems

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Science China(Information Sciences) 2021年第2期64卷 86-99页

作者： Bo CHANG Burak KIZILKAYA Liying LI Guodong ZHAO Zhi CHEN muhammad ali imran School of Engineering University of Glasgow National Key Laboratory on Communications University of Electronic Science and Technology of China (UESTC) Department of Mathematics Physics and Electrical EngineeringNorthumbria University

Ultra-reliable and low-latency communication（URLLC） is one of the most important scenarios in forthcoming fifth generation（5 G） cellular networks to ensure timely exchange of information and realize real-time wireless control. In URLLC, timely information update needs to be guaranteed since control performance, e.g., control cost and stability, is directly determined by timely control information *** this paper, we introduce an effective age of information（EAoI） to evaluate the timeliness of information update in control process. We consider the control process with two phases: sensor to controller phase and controller to actuator phase. We adopt first-generate-first-serve（FGFS） M/M/1/1 → M/M/1/2 and FGFS M/M/1/1;→ M/M/1/2;tandem queuing models to represent control process and we use finitestate Markov chains to describe control information updates. By studying state transitions, we calculate the average EAoI for both tandem queuing models. More importantly, we analyze throughput of wireless control systems and its relationship with average EAoI, which provides a guideline for URLLC system design in real-time feedback control systems. Simulation results show the advantage of using EAoI.

关键词： age of information communications feedback control queuing throughput URLLC

Intelligent wireless walls for contactless in-home monitoring

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Light(Science & Applications) 2022年第10期11卷 2308-2320页

作者： muhammad Usman James Rains Tie Jun Cui muhammad Zakir Khan Jalil Ur Rehman Kazim muhammad ali imran Qammer H.Abbasi University of Glasgow James Watt School of EngineeringGlasgow G128QQUK State Key Laboratory of Millimetre Waves Southeast UniversityNanjingChina

Human activity monitoring is an exciting research area to assist independent living among disabled and elderly *** techniques have been proposed to recognise human activities,such as exploiting sensors,cameras,wearables,and contactless microwave *** these,the microwave sensing has recently gained significant attention due to its merit to solve the privacy concerns of cameras and discomfort caused by ***,the existing microwave sensing techniques have a basic disadvantage of requiring controlled and ideal settings for high-accuracy activity detections,which restricts its wide adoptions in non-line-of-sight(Non-LOS)***,we propose a concept of intelligent wireless walls(IWW)to ensure high-precision activity monitoring in complex environments wherein the conventional microwave sensing is *** IWW is composed of a reconfigurable intelligent surface(RIS)that can perform beam steering and beamforming,and machine learning algorithms that can automatically detect the human activities with high *** complex environments are considered:one is a corridor junction scenario with transmitter and receiver in separate corridor sections and the other is a multi-floor scenario wherein the transmitter and receiver are placed on two different floors of a *** each of the aforementioned environments,three distinct body movements are considered namely,sitting,standing,and *** subjects,one male and one female perform these activities in both *** is demonstrated that IWW provide a maximum detection gain of 28%in multi-floor scenario and 25%in corridor junction scenario as compared to traditional microwave sensing without RIS.

关键词： microwave environments floor

Machine Learning Based Psychotic Behaviors Prediction from Facebook Status Updates

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Computers, Materials & Continua 2022年第8期72卷 2411-2427页

作者： Mubashir ali Anees Baqir Hafiz Husnain Raza Sherazi Asad Hussain Asma Hassan Alshehri muhammad ali imran Department of Management Information and Production EngineeringUniversity of BergamoBergamo24129Italy Department of Environmental Sciences Informatics and StatisticsCa’Foscari University of VeniceVenice30123Italy School of Computing and Engineering University of West LondonLondonW55RFUK Department of Engineering and Applied Sciences University of BergamoBergamo24129Italy Durma College of Science and Humanities Shaqra UniversityShaqra11961Saudi Arabia School of Engineering University of GlasgowGlasgowG128QQUK

With the advent of technological advancements and the widespread Internet connectivity during the last couple of decades,social media platforms(such as Facebook,Twitter,and Instagram)have consumed a large proportion of time in our daily *** tend to stay alive on their social media with recent updates,as it has become the primary source of interactionwithin social *** social media platforms offer several remarkable features but are simultaneously prone to various critical *** studies have revealed a strong correlation between the usage of social media and associated mental health issues consequently leading to depression,anxiety,suicide commitment,and mental disorder,particularly in the young adults who have excessively spent time on socialmedia which necessitates a thorough psychological analysis of all these *** study aims to exploit machine learning techniques for the classification of psychotic issues based on Facebook status *** this paper,we start with depression detection in the first instance and then expand on analyzing six other psychotic issues(e.g.,depression,anxiety,psychopathic deviate,hypochondria,unrealistic,and hypomania)commonly found in adults due to extreme use of social media *** classify the psychotic issues with the user’s mental state,we have employed different Machine Learning(ML)classifiers i.e.,Random Forest(RF),Support Vector Machine(SVM),Naïve Bayes(NB),and K-Nearest Neighbor(KNN).The used ML models are trained and tested by using different combinations of features selection *** observe themost suitable classifiers for psychotic issue classification,a cost-benefit function(sometimes termed as‘Suitability’)has been used which combines the accuracy of the model with its execution *** experimental evidence argues that RF outperforms its competitor classifiers with the unigram feature set.

关键词： Psychotic behaviors mental health socialmedia machine learning

Temperature trends and elevation dependent warming during 1965-2014 in headwaters of Yangtze River, Qinghai Tibetan Plateau

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Journal of Mountain Science 2020年第3期17卷 556-571页

作者： Naveed AHMED WANG Gen-xu Adeyeri OLUWAFEMI Sarfraz MUNIR HU Zhao-yong Aamir SHAKOOR muhammad ali imran Key Laboratory of Mountain Surface Process and Ecological Regulations Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China University of Chinese Academy of Sciences Beijing 100049China Institute for Meteorology and Climate Research Atmospheric Environmental Research Karlsruhe Institute of TechnologyCampus Alpine82467Germany Water Resources Engineering University of Kurdistan Hewler 30 Meter Avenue ErbilKurdistan44001Iraq Department of Agricultural Engineering Bahauddin Zakariya UniversityMultan66000Pakistan Beijing Key Laboratory of Water Resources and Environmental Engineering China University of GeosciencesBeijing 100083China

The understanding of temperature trends in high elevation mountain areas is an integral part of climate change research and it is critical for assessing the impacts of climate change on water resources including glacier melt, degradation of soils, and active layer thickness. In this study, climate changes were analyzed based on trends in air temperature variables(Tmax, Tmin, Tmean), and Diurnal Temperature Range(DTR) as well as elevation-dependent warming at annual and seasonal scales in the Headwaters of Yangtze River(HWYZ), Qinghai Tibetan Plateau. The Base Period(1965-2014) was split into two subperiods;Period-Ⅰ(1965-1989) and Period-Ⅱ(1990-2014) and the analysis was constrained over two subbasins;Zhimenda and Tuotuohe. Increasing trends were found in absolute changes in temperature variables during Period-Ⅱ as compared to Period-Ⅰ.Tmax, Tmin, and Tmean had significant increasing trends for both sub-basins. The highest significant trends in annual time scale were observed in Tmin(1.15℃ decade-1) in Tuotuohe and 0.98℃ decade-1 in Zhimenda sub-basins. In Period-Ⅱ, only the winter season had the highest magnitudes of Tmax and Tmin0.58℃ decade-1 and 1.26℃ decade-1 in Tuotuohe subbasin, respectively. Elevation dependent warming analysis revealed that Tmax, Tmin and Tmean trend magnitudes increase with the increase of elevations in the middle reaches(4000 m to 4400 m) of the HWYZ during Period-Ⅱ annually. The increasing trend magnitude during Period-Ⅱ, for Tmax, is 1.77, 0.92, and 1.31℃ decade-1, for Tmin 1.20, 1.32 and 1.59℃ decade-1,for Tmean 1.51, 1.10 and 1.51℃ decade-1 at elevations of4066 m, 4175 m and 4415 m respectively in the winter season. Tmean increases during the spring season for> 3681 m elevations during Period-Ⅱ, with no particular relation with elevation dependency for other variables. During the summer season in Period Ⅱ, Tmax, Tmin, Tmean increases with the increase of elevations(3681 m to 4415 m) in the middle reaches of HWYZ. Elevation dependent wa

关键词： Climate change Elevation dependent warming Mann Kendall Temperature trends Yangtze River Qinghai Tibetan Plateau

Machine learning empowered COVID-19 patient monitoring using non-contact sensing:An extensive review

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Journal of Pharmaceutical Analysis 2022年第2期12卷 193-204页

作者： Umer Saeed Syed Yaseen Shah Jawad Ahmad muhammad ali imran Qammer H.Abbasi Syed Aziz Shah Research Centre for Intelligent Healthcare Coventry UniversityCoventryCV15FBUK School of Computing Engineering and Built EnvironmentGlasgow Caledonian UniversityGlasgowG40BAUK School of Computing Edinburgh Napier UniversityEdinburghEH114BNUK James Watt School of Engineering University of GlasgowGlasgowG128QQUK

The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),which caused the coronavirus disease 2019(COVID-19)pandemic,has affected more than 400 million people *** the recent rise of new Delta and Omicron variants,the efficacy of the vaccines has become an important *** goal of various studies has been to limit the spread of the virus by utilizing wireless sensing technologies to prevent human-to-human interactions,particularly for healthcare *** this paper,we discuss the current literature on invasive/contact and non-invasive/noncontact technologies(including Wi-Fi,radar,and software-defined radio)that have been effectively used to detect,diagnose,and monitor human activities and COVID-19 related symptoms,such as irregular *** addition,we focused on cutting-edge machine learning algorithms(such as generative adversarial networks,random forest,multilayer perceptron,support vector machine,extremely randomized trees,and k-nearest neighbors)and their essential role in intelligent healthcare ***,this study highlights the limitations related to non-invasive techniques and prospective research directions.

关键词： Artificial intelligence Non-invasive healthcare Machine learning Non-contact sensing COVID-19

AMC Integrated Multilayer Wearable Antenna for Multiband WBAN Applications

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Computers, Materials & Continua 2022年第5期71卷 3227-3241页

作者： Iqra Aitbar Nosherwan Shoaib Akram Alomainy Abdul Quddious Symeon Nikolaou muhammad ali imran Qammer H.Abbasi Research Institute for Microwave and Millimeter-Wave Studies(RIMMS)National University of Sciences and Technology(NUST) H-1244000IslamabadPakistan School of Electronic Engineering and Computer Science Queen Mary University of LondonLondonE14NSUK KIOS Research and Innovation Center of Excellence University of Cyprus2109NicosiaCyprus Frederick Research Center(FRC)and Department of Electrical Engineering Frederick University1036NicosiaCyprus James Watt School of Engineering University of GlasgowGlasgowG128QQU.K

In this paper,a compact,efficient and easy to fabricate wearable antenna integrated with Artificial Magnetic Conductor(AMC)is *** of slots and bevels/cuts in the rectangular monopole patch antenna yield a wide bandwidth along with band *** proposed antenna is backed with an AMC metasurface that changes the bidirectional radiation pattern to a unidirectional,thus,considerably reducing the Specific Absorption Ratio(SAR).The demonstrated antenna has a good coverage radiating away from the body and presents reduced radiation towards the body with a front-to-back ratio of 13 dB and maximum gain of 3.54 *** proposed design operates over a wide frequency band of 2.9 to 12 GHz(exceeding the designated 3.1−10.6 GHz Ultra-Wideband(UWB)band).The band notches were created using slots on the radiating patch in the sub-bands from 5.50 to 5.67 GHz and 7.16 to 7.74 *** overall dimensions of the structure are 33×33×6.75 *** antenna’s radiation performance increased considerably with the addition of the AMC *** SAR values for the antenna are reduced by 85.3%when the AMC is used and are 0.083 W/kg which is well below the FCC SAR *** simple design,miniaturized profile,low SAR and wide operating bands with multiple band notches make the presented antenna an appealing choice for several UWB wearable body area network(WBAN)applications.

关键词： Ultra-wideband(UWB) monopole antenna wearable antenna specific absorption ratio(SAR)

Hybrid Metamodeling/Metaheuristic Assisted Multi-Transmitters Placement Planning

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Computers, Materials & Continua 2021年第7期68卷 569-587页

作者： Amir Parnianifard muhammadSaadi Manus Pengnoo muhammad ali imran Sattam Al Otaibi Pruk Sasithong Pisit Vanichchanunt Tuchsanai Polysuwan Lunchakorn Wuttisittikulkij Wireless Communication Ecosystem Research Unit Chulalongkorn UniversityBangkok10330Thailand Department of Electrical Engineering University of Central PunjabLahorePakistan School of Engineering University of GlasgowGlasgowG128QQUK Head-of-Innovation-and-Entrepreneurship-Center College of EngineeringTaif UniversityTaifKSA Department of Electrical and Computer Engineering King Mongkut University of Technology North BangkokBangkokThailand Department of Electrical Engineering Siam UniversityBangkokThailand

With every passing day,the demand for data traffic is increasing,and this urges the research community not only to look for an alternating spectrum for communication but also urges radio frequency planners to use the existing spectrum *** sizes are shrinking with every upcoming communication generation,which makes base station placement planning even more complex and *** order to make the next-generation cost-effective,it is important to design a network in such a way that it utilizes the minimum number of base stations while ensuring seamless coverage and quality of *** paper aims at the development of a new simulation-based optimization approach using a hybrid metaheuristic and metamodel applied in a novel mathematical formulation of the multi-transmitter placement planning(MTPP)*** first develop a new mathematical programming model for MTPP that is flexible to design the locations for any number of *** solve this constrained optimization problem,we propose a hybrid approach using the radial basis function(RBF)metamodel to assist the particle swarm optimizer(PSO)by mitigating the associated computational burden of the optimization *** evaluate the effectiveness and applicability of the proposed algorithm by simulating the MTPP model with two,three,four and five transmitters and estimating the Pareto front for optimal locations of *** quantitative results show that almost maximum signal coverage can be obtained with four transmitters;thus,it is not a wise idea to use higher number of transmitters in the ***,the limitations and future works are discussed.

关键词： Simulation-optimization radial basis function particle swarm optimization multi-transmitter placement

A Troika of Tricuspid Valve Thrombus, Bilateral Upper Extremity Deep Venous Thrombosis and Pulmonary Embolism

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World Journal of Cardiovascular Diseases 2022年第4期12卷 191-198页

作者： Farid Khan Keyoor Patel muhammad imran ali Internal Medicine Residency Program UHS Wilson Medical Center Johnson City NY USA UHS Heart & Vascular Institute Johnson City NY USA

Background: Tricuspid valve thrombus with concomitant bilateral pulmonary embolism (PE) and right heart strain poses a significant risk of hemodynamic instability and increased mortality. Case Report: We report the unique case of a female who presented with dyspnea and tachycardia, and was subsequently found to have a structure attached to the tricuspid valve. Concomitantly, she also had bilateral upper extremity deep venous thrombosis (UEDVT) and bilateral sub-massive PE. Thorough clinical assessment, and diagnostic and risk stratification tools were applied to guide the management and disposition. Tricuspid valve thrombus resolved after unfractionated heparin therapy followed by oral anticoagulation as seen on repeat transthoracic echocardiography. We think the readership will benefit from our experience of managing an uncommon and critical clinical presentation of tricuspid valve thrombus in the setting of extensive venous thromboembolism. Conclusion: Careful clinical assessment, risk stratification tools, and close monitoring are needed to guide the management of tricuspid valve thrombus with concomitant bilateral PE and UEDVT.

关键词： Pulmonary Embolism Tricuspid Valve Thrombus Deep Venous Thrombus Heparin

Rate optimization using low complex methods with reconfigurable intelligent surfaces

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Journal of Information and Intelligence 2023年第3期1卷 267-280页

作者： Saber Hassouna muhammad ali Jamshed Masood Ur Rehman muhammad ali imran Qammer H.Abbasi James Watt School of Engineering University of GlasgowGlasgow G128QEUK

With the help of a developing technology called reconfigurable intelligent surfaces(RISs),it is possible to modify the propagation environment and boost the data rates of wireless communication *** this article,we optimized the phases of the RIS elements and performed a fair power allocation for each subcarrier over the full bandwidth in a single-input-single-output(SISO)wideband system where the user and the access point(AP)are provided with a single *** data rate or its equivalent channel power is maximized by proposing different low-complex *** strongest tap maximization(STM)and power methods are compared with the semidefinite relaxation(SDR)method in terms of computational complexity and data rate *** and complexity analysis of the suggested methods are computed and compared to reveal the actual time consumption and the required number of operations for each *** results show that with an optimized RIS,the sum rate is 2.5 times higher than with an unconfigured surface,demonstrating the RIS's tremendous advantages even in complex *** data rate performance of the SDR method is higher than the power method and less than the STM method but with higher computational complexity,more than 6 million complex operations,and 50 min of runtime calculations compared with the other STM and power optimization methods.

关键词： Reconfigurable intelligent surfaces(RISs) Orthogonal frequency division multiplexing (OFDM) Data rate maximization Semidefinite relaxation(SDR) Strongest tap maximization(SDM) Power method