| 1. |
- Feigin, Valery L., et al.
(author)
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Global, regional, and national burden of stroke and its risk factors, 1990-2019 : a systematic analysis for the Global Burden of Disease Study 2019
- 2021
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In: Lancet Neurology. - : Elsevier. - 1474-4422 .- 1474-4465. ; 20:10, s. 795-820
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Journal article (peer-reviewed)abstract
- Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12.2 million (95% UI 11.0-13.6) incident cases of stroke, 101 million (93.2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6.55 million (6.00-7.02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11.6% [10.8-12.2] of total deaths) and the third-leading cause of death and disability combined (5.7% [5.1-6.2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70.0% (67.0-73.0), prevalent strokes increased by 85.0% (83.0-88.0), deaths from stroke increased by 43.0% (31.0-55.0), and DALYs due to stroke increased by 32.0% (22.0-42.0). During the same period, age-standardised rates of stroke incidence decreased by 17.0% (15.0-18.0), mortality decreased by 36.0% (31.0-42.0), prevalence decreased by 6.0% (5.0-7.0), and DALYs decreased by 36.0% (31.0-42.0). However, among people younger than 70 years, prevalence rates increased by 22.0% (21.0-24.0) and incidence rates increased by 15.0% (12.0-18.0). In 2019, the age-standardised stroke-related mortality rate was 3.6 (3.5-3.8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3.7 (3.5-3.9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62.4% of all incident strokes in 2019 (7.63 million [6.57-8.96]), while intracerebral haemorrhage constituted 27.9% (3.41 million [2.97-3.91]) and subarachnoid haemorrhage constituted 9.7% (1.18 million [1.01-1.39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79.6 million [67.7-90.8] DALYs or 55.5% [48.2-62.0] of total stroke DALYs), high body-mass index (34.9 million [22.3-48.6] DALYs or 24.3% [15.7-33.2]), high fasting plasma glucose (28.9 million [19.8-41.5] DALYs or 20.2% [13.8-29.1]), ambient particulate matter pollution (28.7 million [23.4-33.4] DALYs or 20.1% [16.6-23.0]), and smoking (25.3 million [22.6-28.2] DALYs or 17.6% [16.4-19.0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries.
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| 2. |
- Naqvi, Syeda, I, et al.
(author)
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An Integrated Antenna System for 4G and Millimeter-Wave 5G Future Handheld Devices
- 2019
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In: IEEE Access. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 2169-3536. ; 7, s. 116555-116566
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Journal article (peer-reviewed)abstract
- In this work, an integrated antenna system with Defected Ground Structure (DGS) is presented for Fourth Generation (4G) and millimeter (mm)-wave Fifth Generation (5G) wireless applications and handheld devices. The proposed design with overall dimensions of 110 mm x 75 mm is modeled on 0.508 mm thick Rogers RT/Duroid 5880 substrate. Radiating structure consists of antenna arrays excited by the T-shape 1 x 2 power divider/combiner. Dual bands for 4G centered at 3.8 GHz and 5.5 GHz are attained, whereas the 10-dB impedance bandwidth of 24.4 - 29.3 GHz is achieved for the 5G antenna array. In addition, a peak gain of 5.41 dBi is demonstrated across the operating bandwidth of the 4G antenna array. Similarly, for the 5G mm-wave configuration the attained peak gain is 10.29 dBi. Moreover, significant isolation is obtained between the two antenna modules ensuring efficient dual-frequency band operation using a single integrated solution. To endorse the concept, antenna prototype is fabricated and far-field measurements are procured. Simulated and measured results exhibit coherence. Also the proposed design is investigated for the beam steering capability of the mm-wave 5G antenna array using CST(R)MWS(R). The demonstrated structure offers various advantages including compactness, wide bandwidth, high gain, and planar configuration. Hence, the attained radiation characteristics prove the suitability of the proposed design for the current and future wireless handheld devices.
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| 3. |
- Latif, A., et al.
(author)
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Comparison of Leading Language Parsers - ANTLR, JavaCC, SableCC, Tree-sitter, Yacc, Bison
- 2023
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In: Proceedings - International Conference on Software Technology and Engineering, ICSTE. - : IEEE. - 9798350371475 ; , s. 7-13
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Conference paper (peer-reviewed)abstract
- Software engineering applications in domains like embedded systems and health care have increased exponentially during the last few years. Developing, analyzing, and customization of languages is one of the core software engineering aspects. This usually involves lexical, syntactical, and semantic operations, technically termed parsing. For this, several parsers have been introduced in state-of-the-art. However, due to diverse features, selecting a parser for a particular operation during software engineering applications is always problematic. In this article, we identified six leading parsers (i.e., ANTLR, JavaCC, SableCC, Tree-sitter, Yacc, and Bison) from the state-of-the-art. Furthermore, we also identified significant parser features to perform meaningful comparative analysis. Results indicate that ANTLR and JavaCC provide enhanced parsing features, such as the parsing algorithm and the extended grammar notation. However, JavaCC is suitable for simple grammar definition, whereas ANTLR allows specifying complex grammar with multiple alternative paths. The findings of this article are highly beneficial for researchers and practitioners while selecting the right parser to perform specific software engineering tasks.
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| 4. |
- Anwar, Muhammad Waseem, et al.
(author)
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A Model-Driven Framework for Design and Analysis of Vehicle Suspension Systems
- 2022
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In: <em>Communications in Computer and Information Science</em>. - Cham : Springer Science and Business Media Deutschland GmbH. - 9783031163012 ; , s. 197-208
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Conference paper (peer-reviewed)abstract
- The design and implementation of vehicle suspension systems is complex and time-consuming process that usually leads to production delays. Although different Model Driven Engineering (MDE) technologies like EAST-ADL/AUTOSAR are frequently applied to expedite vehicle development process, a framework particularly dealing with design and analysis of vehicle suspension is hard to find in literature. This rises the need of a framework that not only supports the analysis of suspension system at higher abstraction level but also complements the existing standards like EAST-ADL. In this article, a Model driven framework for Vehicle Suspension System (MVSS) is proposed. Particularly, a meta-model containing major vehicle suspension aspects is introduced. Subsequently, a modeling editor is developed using Eclipse Sirius platform. This allows the modeling of both simple as well as complex vehicle suspension systems with simplicity. Moreover, Object Constraint Language (OCL) is utilized to perform early system analysis in modeling phase. Furthermore, the target MATLAB-Simulink models are generated from source models, using model-to-text transformations, to perform advanced system analysis. The application of proposed framework is demonstrated through real life Audi A6L Hydraulic active suspension use case. The initial results indicate that proposed framework is highly effective for the design and analysis of vehicle suspension systems. In addition to this, the analysis results could be propagated to EAST-ADL toolchains to support full vehicle development workflow.
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| 5. |
- Aslam, Bilal, et al.
(author)
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A high capacity tunable retransmission type frequency coded chipless radio frequency identification system
- 2019
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In: International Journal of RF and Microwave Computer-Aided Engineering. - : WILEY. - 1096-4290 .- 1099-047X. ; 29:9
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Journal article (peer-reviewed)abstract
- This article presents a 12-bit frequency coded chipless RFID system in the frequency range of 3 to 6 GHz. The system consists of a fully printable chipless tag and a pair of high-gain reader antennas. The tag also incorporates its own antennas to improve the read range. Information is encoded into frequency spectrum using a multi-resonant circuit. The circuit consists of multiple microstrip U and L-shaped open stub resonators patterned in a unique configuration. The proposed configuration aids in capturing more data in a reduced space as well as tunable frequency operation. Tag and reader antennas utilize techniques such as stepped impedance feeding line, defective partial ground plane, and stair-step patch structure to achieve wide-band impedance bandwidth in miniature size. The results of the wireless measurements in the non-anechoic environment show that the proposed system has a reading range of more than 20 cm. The presented system possesses great potential for low-cost short-range inventory tracking.
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| 6. |
- Azam, Asad Muhammad, et al.
(author)
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Analysis of degradation in UHMWPE a comparative study among the various commercial and laboratory grades UHMWPE
- 2016
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In: 14TH INTERNATIONAL SYMPOSIUM ON ADVANCED MATERIALS (ISAM 2015). - : IOP PUBLISHING LTD.
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Conference paper (peer-reviewed)abstract
- Oxidative degradation of the ultra-high molecular weight polyethylene ( UHMWPE) limits the life of implants. This degradation can be monitored to estimate the service life of UHMWPE following the standard protocols as defined by American Standards for Testing Materials ( ASTM). In this work, a comparative study has been carried on two commercially available UHMWPE grades i. e. GUR 1020 and GUR 1050 and one laboratory grade UHMWPE which was purchased from Sigma Aldrich. These powder samples were pressed while using hot press with controlled heating and cooling setup in open air under 200 bar of external pressure. These sheets were then subjected to accelerated aging in an oven at 80 degrees C for three weeks. The degradation of the UHMWPE was monitored by ATR-FTIR techniquefor three weeks. The oxidation index ( OI) measurement showed that the commercial grade UHMWPE i. e. GUR-1020 and GUR-1050 degrade more as compared to laboratory grade UHMWPE. The values of OI after three weeks of accelerating aging were found 0.18, 0.14, and 0.09 for GUR-1020, GUR-1050, and Sigma Aldrich, respectively. In addition to this, it was found that commercial grades of UHMWPE suffer more structural alterations as compared to laboratory grade one. We hope that these results will be of particular and fundamental importance for the researchers and orthopaedic industry.
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| 7. |
- Safdar, A., et al.
(author)
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MoDLF-A Model-Driven Deep Learning Framework for Autonomous Vehicle Perception (AVP)
- 2022
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In: Proceedings - 25th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2022. - New York, NY, USA : Association for Computing Machinery, Inc. - 9781450394666 ; , s. 187-198
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Conference paper (peer-reviewed)abstract
- Modern vehicles are extremely complex embedded systems that integrate software and hardware from a large set of contributors. Modeling standards like EAST-ADL have shown promising results to reduce complexity and expedite system development. However, such standards are unable to cope with the growing demands of the automotive industry. A typical example of this phenomenon is autonomous vehicle perception (AVP) where deep learning architectures (DLA) are required for computer vision (CV) tasks like real-time object recognition and detection. However, existing modeling standards in the automotive industry are unable to manage such CV tasks at a higher abstraction level. Consequently, system development is currently accomplished through modeling approaches like EAST-ADL while DLA-based CV features for AVP are implemented in isolation at a lower abstraction level. This significantly compromises productivity due to integration challenges. In this article, we introduce MoDLF-A Model-Driven Deep learning Framework to design deep convolutional neural network (DCNN) architectures for AVP tasks. Particularly, Model Driven Architecture (MDA) is leveraged to propose a metamodel along with a conformant graphical modeling workbench to model DCNNs for CV tasks in AVP at a higher abstraction level. Furthermore, Model-To-Text (M2T) transformations are provided to generate executable code for MATLAB® and Python. The framework is validated via two case studies on benchmark datasets for key AVP tasks. The results prove that MoDLF effectively enables model-driven architectural exploration of deep convnets for AVP system development while supporting integration with renowned existing standards like EAST-ADL.
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| 8. |
- Zahid, R., et al.
(author)
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Enhancing End-to-End Communication Security in IoT Devices Through Application Layer Protocol
- 2022
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In: Communications in Computer and Information Science. - Cham : Springer Science and Business Media Deutschland GmbH. - 9783031163012 ; , s. 148-159
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Conference paper (peer-reviewed)abstract
- The Internet of Things (IoT) has combined the hardware components with software elements by providing users with remote control and management facilities. From safety-critical systems to security devices and industrial appliances, every appliance makes use of IoTs. Whereas security issues such as SQL injections, Denial of Service/Distributed Denial of Service (DOS/DDOS) attacks, the forged transmission of messages, or man in the middle (MITM) are major security threats among smart devices. Any purging of data causes privacy issues while the subsequent assessments made using modified information are also erroneous. This security hole needs comprehensive non-cryptographic data-security techniques and frameworks which would help developers in creating secure systems on heterogeneous devices. Algorithms like blowfish and Data Encryption Standard (DES) do not have the uniquity which AES does, making them more vulnerable to attack this research paper focuses on the communication security issues in IoT systems. We have proposed an End-to-End Encryption using AES in IoT (EAES-IoT). Validation of the proposed algorithm has been done in a case study of the Smart Voice Pathology Monitoring System (SVPMS) by sending the encoded data to the application layer through Application Programming Interface (API). We compared results to ensure the authenticity of the data and they were found promising. Data access is provided only to authorized individuals by providing a shared key for decryption of the alphanumeric string of data shared between devices. The proposed algorithm will provide future directions to meet security challenges in the IoT.
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