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Wi-Fi Positioning Dataset with Multiusers and Multidevices Considering Spatio-Temporal Variations

Computers, Materials & Continua 2022年第3期70卷 5213-5232页

作者： Imran Ashraf sadia din Soojung Hur Yongwan Park Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-si38541Korea

Precise information on indoor positioning provides a foundation for position-related customer *** the emergence of several indoor positioning technologies such as ultrawideband,infrared,radio frequency identification,Bluetooth beacons,pedestrian dead reckoning,and magnetic field,Wi-Fi is one of the most widely used ***,Wi-Fi fingerprinting is the most popular method and has been researched over the past two ***-Fi positioning faces three core problems:device heterogeneity,robustness to signal changes caused by human mobility,and device attitude,i.e.,varying *** existing methods do not cover these aspects owing to the unavailability of publicly available *** study introduces a dataset that includes the Wi-Fi received signal strength(RSS)gathered using four different devices,namely Samsung Galaxy S8,S9,A8,LG G6,and LG G7,operated by three surveyors,including a female and two *** addition,three orientations of the smartphones are used for the data collection and include multiple buildings with a multifloor *** levels of human mobility have been considered in dynamic *** analyze the time-related impact on Wi-Fi RSS,data over 3 years have been considered.

关键词： Wi-fi positioning dataset smartphone sensors benchmark analysis indoor positioning and localization spatio-temporal data

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Bayesian Multidimensional Scaling for Location Awareness in Hybrid-Internet of Underwater Things

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IEEE/CAA Journal of Automatica Sinica 2022年第3期9卷 496-509页

作者： Ruhul Amin Khalil Nasir Saeed Mohammad Inayatullah Babar Tariqullah Jan sadia din IEEE Department of Electrical Engineering Faculty of Electrical and Computer EngineeringUniversity of Engineering and TechnologyPeshawar 25120Pakistan the Department of Electrical Engineering Northern Border UniversityArar 73222Saudi Arabia College of Science and Engineering Hamad Bin Khalifa UniversityDoha 34110Qatar

Localization of sensor nodes in the internet of underwater things(IoUT)is of considerable significance due to its various applications,such as navigation,data tagging,and detection of underwater ***,in this paper,we propose a hybrid Bayesian multidimensional scaling(BMDS)based localization technique that can work on a fully hybrid IoUT network where the nodes can communicate using either optical,magnetic induction,and acoustic *** communication technologies are already used for communication in the underwater environment;however,lacking localization *** and magnetic induction communication achieves higher data rates for short *** the contrary,acoustic waves provide a low data rate for long-range underwater *** proposed method collectively uses optical,magnetic induction,and acoustic communication-based ranging to estimate the underwater sensor nodes’final ***,we also analyze the proposed scheme by deriving the hybrid Cramer-Rao lower bound(H-CRLB).Simulation results provide a complete comparative analysis of the proposed method with the literature.

关键词： Bayesian multidimensional scaling(BMDS) hybrid Cramer-Rao lower bound(H-CRLB) internet of underwater things(IoUT) signals of opportunity(SOA)approach

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Towards Collaborative Robotics in Top View Surveillance:A Framework for Multiple Object Tracking by Detection Using Deep Learning

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IEEE/CAA Journal of Automatica Sinica 2021年第7期8卷 1253-1270页

作者： Imran Ahmed sadia din Gwanggil Jeon Francesco Piccialli Giancarlo Fortino the Center of excellence in Information Technology Institute of Management SciencesPeshawar 25000Pakistan the Department of Information and Communication Engineering Yeungnam UniversitySouth Korea the School of Electronic Engineering Xidian UniversityXi’an 710071China the Department of Embedded Systems Engineering Incheon National UniversityIncheon 22012Korea the Department of Mathematics and Applications“R.Caccioppoli” University of Naples Federico IINapoli 80138Italy the Department of Informatics ModelingElectronics and SystemsUniversity of CalabriaRendeCS 87036Italy

Collaborative Robotics is one of the high-interest research topics in the area of academia and *** has been progressively utilized in numerous applications,particularly in intelligent surveillance *** allows the deployment of smart cameras or optical sensors with computer vision techniques,which may serve in several object detection and tracking *** tasks have been considered challenging and high-level perceptual problems,frequently dominated by relative information about the environment,where main concerns such as occlusion,illumination,background,object deformation,and object class variations are *** order to show the importance of top view surveillance,a collaborative robotics framework has been *** can assist in the detection and tracking of multiple objects in top view *** framework consists of a smart robotic camera embedded with the visual processing *** existing pre-trained deep learning models named SSD and YOLO has been adopted for object detection and *** detection models are further combined with different tracking algorithms,including GOTURN,MEDIANFLOW,TLD,KCF,MIL,and *** algorithms,along with detection models,help to track and predict the trajectories of detected *** pre-trained models are employed;therefore,the generalization performance is also investigated through testing the models on various sequences of top view data *** detection models achieved maximum True Detection Rate 93%to 90%with a maximum 0.6%False Detection *** tracking results of different algorithms are nearly identical,with tracking accuracy ranging from 90%to 94%.Furthermore,a discussion has been carried out on output results along with future guidelines.

关键词： Collaborative robotics deep learning object detection and tracking top view video surveillance

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Pattern of hepatitis C virus genotypes and subtypes circulating in war-stricken Khyber Pakhtunkhwa,Pakistan:Review of published literature

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Asian Pacific Journal of Tropical Medicine 2017年第11期10卷 1037-1042页

作者： Abdul Waheed Khan sadia Nawab Zeeshan Nasim Abdul Haleem Khan Syed Ishfaq Ahmad Fazli Zahir Israr Ud din Institute of Information Sciences Academia SinicaTaiwan Center for Biotechnology and Microbiology University of SwatPakistan Institute of Biotechnology and Genetic Engineering The University of AgriculturePeshawarPakistan 4Department of ZoologyIslamia College PeshawarPakistan

Infection due to hepatitis C virus(HCV) is a major cause of fibrosis and hepatocellular carcinoma in Pakistan. In the current review, pattern of HCV genotypes and subtypes in Khyber Pakhtunkhwa province was ascertained in light of the available literature. After thorough analysis, genotype 3(58.27%) was determined to be the leading HCV genotype,followed by genotypes 2(12.39%), 1(9.54%) and 4(0.86%). The proportions of genotypes 5 and 6 were recorded as 0.09% and 0.22% respectively. Subtype wise, 3 a accounted for 48.67%, followed by subtype 2 a(10.91%), 3 b(9.43%), 1 a(5.84%), 1 b(3.66%), 2 b(1.45%) and genotype 4 with its undefined subtypes contributed a portion of0.86%. The cumulative share of subtypes 1 c, 2 c, 3 c, 5 a and 6 a was less than 1%. In11.51% cases, the subtype was untypeable while in 7.17% cases mixed subtypes were recorded. Gender wise, proportions of most HCV subtypes were marginally higher among males as compared to females. On the basis of studied groups, 3 a was pervasive among all groups except in intravenous drug users where 2 a was the major HCV ***, based on various geographical locations(provincial divisions), subtype 3 a revealed a ubiquitous distribution. Conclusively, HCV 3 a persists to be the principal subtype across the province of Khyber Pakhtunkhwa. The considerable number of untypeable subtypes in most studies urges for an improved genotyping system on the basis of local sequence data and practice of sequencing for determination of underlying subtype in untypeable cases. Further, studies on identification of subtypes transmission pattern are imperative for assessment of transmission origin and reinforcement of efficient control strategies. In addition, the current review emphasizes the need of attention toward HCV risk groups and ignored southern side of Khyber Pakhtunkhwa province for better holistic understanding of HCV genotype distribution pattern in the province.

关键词：丙肝丙肝病毒遗传型子类型

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Exploration of Ethnopharmacological Potential of Antimicrobial, Antioxidant, Anthelmintic and Phytochemical Analysis of Medicinally Important Plant <i>Centella asiatica</i>(L.) Urban in Mart. and Eichl.

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American Journal of Plant Sciences 2017年第2期8卷 201-211页

作者： Arusa Aftab Zaheerud din Khan Zubaida Yousaf Zill-e-Huma Aftab Sumera Javad Bushra Shamsheer Maria Zahoor Nadia Riaz sadia Javed Hamna Yasin Habiba Ramzan Department of Botany Lahore College for Women University Lahore Pakistan Department of Botany GC University Lahore Pakistan IAGS University of the Punjab Lahore Pakistan

As there is a huge pressure on the cultivated medicinal plants and due to this pressure a large number of plants are being eradicated yearly. So to reduce this pressure on the cultivated plants an effort is being done to use the wild plants as a good medicinal agent and a cheaper source as well. The present study was undertaken to find out the Antimicrobial activity, Antioxidant activity and Pharmacological Analysis of Centella asiatica. It is a wild plant and mostly found on the damp places of plains and foothills. It was collected, dried and extracted by maceration method in different polar and non-polar solvents i.e. petroleum ether, chloroform, methanol and distilled water. These extracts were further used to find out the antimicrobial, antioxidant and anthelmintic activities. Centella asiatica showed remarkable values comparable with the standard antimicrobial and antioxidant agents. Well defined zones of inhibition were recorded indicating that the plants were potent against pathogenic microbes, such as i.e. Bcteria (Staphylococcus aureus, Staphyllococcus saprophyticus, E. coli) and fungi (Pseudomonas aeruginosa, Aspergillus parasiticus and Rhizopus oryzae). The antioxidant activity of all the plant extracts was studied by DPPH Assay, Total Antioxidant Assay and Total phenolic Assay and the remarkable values comparable with the standard antioxidants were recorded. For pharmacological analysis different secondary metabolites indicated positive results whereas some others gave negative results.

关键词： Antimicrobial Activity Antioxidant Activity Phyochemical Anthelmintic

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Countrywide Survey for MERS-Coronavirus Antibodies in Dromedaries and Humans in Pakistan

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Virologica Sinica 2018年第5期33卷 410-417页

作者： Ali Zohaib Muhammad Saqib Muhammad Ammar Athar Jing Chen Awais-ur-Rahman Sial Saeed Khan Zeeshan Taj Halima sadia Usman Tahir Muhammad Haleem Tayyab Muhammad Asif Qureshi Muhammad Khalid Mansoor Muhammad Ahsan Naeem Bing-Jie Hu Bilal Ahmed Khan Ikram din Ujjan Bei Li Wei Zhang Yun Luo Yan Zhu Cecilia Waruhiu Iahtasham Khan Xing-Lou Yang Muhammad Sohail Sajid Victor Max Corman Bing Yan Zheng-Li Shi CAS Key Laboratory of Special Pathogens and Biosafety Wuhan Institute of VirologyChinese Academy of SciencesWuhan 430071China University of Ctunese Academy of Sciences Beijing 100049China Faculty of Veterinary Medicine University of AgricultureFaisalabad 38040Pakistan Laboratory of Cancer Biomarkers and Liquid Biopsy College of PharmacyHenan UniversityHenan 475004China Department of Clinical Studies Faculty of Veterinary and Animal SciencesPMAS-Arid Agriculture UniversityRawalpindi 46000Pakistan Dow University of Health Science Pakistan Karachi 74200 Department of Microbiology Government College University FaisalabadFaisalabad 38000Pakistan Livestock and Dairy Development Department(L&DD) Lahore 54000Pakistan College of Veterinary and Animal Sciences The Islamia University of BahawalpurBahawalpur 63100Pakistan State Key Laboratory of Agricultural Mlcroblology Huazhong Agricultural UniversityWuhan 430070China Liaqat University of Medical and Health Science Pakistan Jamshoro 76090 Section of Epidemiology and Public Health Department of Chnical SciencesUniversity of Veterinary and Animal SciencesLahore subcampusJhang 35200Pakistan Institute of Virology Chadte-Universitatsmedizin BerlinCorporate member of Free UniversityHumboldt-University and Berlin Institute of HealthBerlin 10117Germany German Center for Infection Research(DZIF) Berlin 10117Germany

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a zoonotic pathogen capable of causing severe respiratory disease in humans. Although dromedary camels are considered as a major reservoir host, the MERS-CoV infection dynamics in camels are not fully understood. Through surveillance in Pakistan, nasal (n = 776) and serum (n = 1050)samples were collected from camels between November 2015 and February 2018. Samples were collected from animal markets, free-roaming herds and abattoirs. An in-house ELISA was developed to detect IgG against MERS-CoV. A total of 794 camels were found seropositive for MERS-CoV. Prevalence increased with the age and the highest seroprevalence was recorded in camels aged [ 10 years (81.37%) followed by those aged 3.1–10 years (78.65%) and B 3 years (58.19%).Higher prevalence was observed in female (78.13%) as compared to male (70.70%). Of the camel nasal swabs, 22 were found to be positive by RT-qPCR though with high Ct values. Moreover, 2,409 human serum samples were also collected from four provinces of Pakistan during 2016–2017. Among the sampled population, 840 humans were camel *** we found a high rate of MERS-CoV antibody positive dromedaries (75.62%) in Pakistan, no neutralizing antibodies were detected in humans with and without contact to camels.

关键词： Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Camel -Human Pakistan

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