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| 2. |
- Glasbey, JC, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 3. |
- Thomas, HS, et al.
(författare)
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- 2019
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swepub:Mat__t
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| 4. |
- Tabiri, S, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 5. |
- Bravo, L, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 8. |
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| 9. |
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| 10. |
- Griessl, René, et al.
(författare)
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A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT based on Microservers
- 2023
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Ingår i: Shaping the Future of IoT with Edge Intelligence How Edge Computing Enables the Next Generation of IoT Applications. - 9788770040273 ; , s. 179-196
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Performance and energy efficiency are key aspects of next-generation AIoT hardware. This chapter presents a scalable, heterogeneous hardware platform for accelerated AIoT based on microserver technology. It integrates several accelerator platforms based on technologies like CPUs, embedded GPUs, FPGAs, or specialized ASICs, supporting the full range of the cloud−edgeIoT continuum. The modular microserver approach enables the integrationof different, heterogeneous accelerators into one platform. Benchmarking the various accelerators takes performance, energy efficiency, and accuracy into account. The results provide a solid overview of available accelerator solutions and guide hardware selection for AIoT applications from the far edge to the cloud.
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| 11. |
- Griessl, R., et al.
(författare)
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Evaluation of heterogeneous AIoT Accelerators within VEDLIoT
- 2023
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Ingår i: Proceedings -Design, Automation and Test in Europe, DATE. - 1530-1591. ; 2023-April
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Konferensbidrag (refereegranskat)abstract
- Within VEDLIoT, a project targeting the development of energy-efficient Deep Learning for distributed AIoT applications, several accelerator platforms based on technologies like CPUs, embedded GPUs, FPGAs, or specialized ASICs are evaluated. The VEDLIoT approach is based on modular and scalable cognitive IoT hardware platforms. Modular microserver technology enables the integration of different, heterogeneous accelerators into one platform. Benchmarking of the different accelerators takes into account performance, energy efficiency and accuracy. The results in this paper provide a solid overview regarding available accelerator solutions and provide guidance for hardware selection for AIoT applications from far edge to cloud. VEDLIoT is an H2020 EU project which started in November 2020. It is currently in an intermediate stage. The focus is on the considerations of the performance and energy efficiency of hardware accelerators. Apart from the hardware and accelerator focus presented in this paper, the project also covers toolchain, security and safety aspects. The resulting technology is tested on a wide range of AIoT applications.
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| 12. |
- Siddique, Waqar, et al.
(författare)
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The Development of Eletriptan Hydrobromide Immediate Release Buccal Films Using Central Composite Rotatable Design : An In Vivo and In Vitro Approach
- 2022
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Ingår i: Polymers. - : MDPI. - 2073-4360. ; 14:19
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Tidskriftsartikel (refereegranskat)abstract
- The objective is to develop immediate release buccal films of Eletriptan Hydrobromide (EHBR) using hydroxypropyl methylcellulose (HPMC) E5. The buccal films have the ability to disintegrate rapidly and provide both systemic and local effects. The solvent casting method was employed to prepare the films and the central composite rotatable design (CCRD) model was used for film optimization. All the formulated films were characterized for physicochemical evaluation (Fourier transform infrared spectroscopy (FTIR), X-ray Diffraction (XRD), differential scanning calorimetry (DSC), and Scanning electron microscopy (SEM), in in-vitro, ex-vivo, and in-vivo drug release. The fabricated films were transparent, colorless, and evenly distributed. The FTIR spectra showed no chemical interaction between the drug and excipients. In in-vitro analysis, the film has the highest% drug release (102.61 +/- 1.13), while a maximum of 92.87 +/- 0.87% drug was diffused across the cellulose membrane having a pore size of 0.45 mu m. In the ex-vivo study, drug diffusion across the goat mucosa was performed and 80.9% of the drug was released in 30 min. In-vivo results depict a mean half-life (t1/2) of 4.54 +/- 0.18 h and a C-max of 128 +/- 0.87 (ng/mL); T-max was achieved in 1 h. Furthermore, instability and histopathological studies buccal films were proven to be safe and act as an effective dosage form. In a nutshell, optimized and safe instant release EHBR buccal films were prepared that have the tendency to provide effect effectively.
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| 13. |
- Ahmad, Waqar, et al.
(författare)
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Thermophysical Study of Binary Systems of tert-Amyl Methyl Ether with n-Hexane and m-Xylene
- 2019
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Ingår i: Journal of Chemical and Engineering Data. - : American Chemical Society (ACS). - 0021-9568 .- 1520-5134. ; 64:2, s. 459-470
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Tidskriftsartikel (refereegranskat)abstract
- This work presents the experimentally determined density (rho), viscosity (eta), speed of sound (u), and surface tension (sigma) data for tert-amyl methyl ether (TAME) + n-hexane and TAME + m-xylene systems at several temperatures (298.15, 308.15, 318.15, 323.15, and 328.15 K). These experimentally determined thermophysical data are utilized to compute various excess/deviation parameters such as molar volume (V-E), isentropic compressibility (K-s(E)), speed of sound (u(E)), deviation in viscosity (Delta In eta), isobaric thermal expansion coefficient (alpha(E)(P)), and surface tension (sigma(E)). The inspection of parameters response may interpret the existing specific molecular interactions as well as the mixing behavior of solutions. The critical analysis of observed parametric behavior have unveiled the strong and weak molecular interactions in TAME with m-xylene and TAME with n-hexane systems, respectively.
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| 14. |
- Homod, Raad Z., et al.
(författare)
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Deep clustering of cooperative multi-agent reinforcement learning to optimize multi chiller HVAC systems for smart buildings energy management
- 2023
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Ingår i: Journal of Building Engineering. - : Elsevier. - 2352-7102. ; 65
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Tidskriftsartikel (refereegranskat)abstract
- Chillers are responsible for almost half of the total energy demand in buildings. Hence, the obligation of control systems of multi-chiller due to changes indoor environments is one of the most significant parts of a smart building. Such a controller is described as a nonlinear and multi-objective algorithm, and its fabrication is crucial to achieving the optimal balance between indoor thermal comfort and running a minimum number of chillers. This work proposes deep clustering of cooperative multi-agent reinforcement learning (DCCMARL) as well-suited to such system control, which supports centralized control by learning of agents. In MARL, since the learning of agents is based on discrete sets of actions and stats, this drawback significantly affects the model of agents for representing their actions with efficient performance. This drawback becomes considerably worse when increasing the number of agents, due to the increased complexity of solving MARL, which makes modeling policy very challenging. Therefore, the DCCMARL of multi-objective reinforcement learning is leveraging powerful frameworks of a hybrid clustering algorithm to deal with complexity and uncertainty, which is a critical factor that influences to the achievement of high levels of a performance action. The results showed that the ability of agents to manipulate the behavior of the smart building could improve indoor thermal conditions, as well as save energy up to 44.5% compared to conventional methods. It seems reasonable to conclude that agents' performance is influenced by what type of model structure.
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| 15. |
- Khan, A., et al.
(författare)
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A comprehensive review of the methane decomposition using a gliding arc discharge reactor for hydrogen generation
- 2023
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Ingår i: Journal of the Energy Institute. - : Elsevier. - 1743-9671 .- 1746-0220. ; 109
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Tidskriftsartikel (refereegranskat)abstract
- The use of fossil fuels has caused an ongoing increase in greenhouse gases (GHGs), which have a negative impact on both the environment and human health. The world requires an alternative green sustainable fuel that can solve these problems. Hydrogen (H2) can be considered as an alternative green energy source as it has zero carbon emissions. Methane (CH4) decomposition is a potential technique to produce H2 fuel. Gliding arc discharge (GAD) reactors have gained significant attention to produce H2 from the decomposition of CH4. This review focuses on the application of GAD reactors for CH4 conversion. The effects of different parameters, such as operation conditions, additives, geometric configuration, and catalysts, on the performance of the GAD reactor, are discussed in this review. © 2023 Energy Institute
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| 16. |
- Rodriguez, Saul, et al.
(författare)
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A Batteryless Sensor ASIC for Implantable Bio-Impedance Applications
- 2015
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Ingår i: IEEE Transactions on Biomedical Circuits and Systems. - : IEEE. - 1932-4545 .- 1940-9990.
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Tidskriftsartikel (refereegranskat)abstract
- The measurement of the biological tissue’s electrical impedance is an active research field that has attracted a lot of attention during the last decades. Bio-impedances are closely related to a large variety of physiological conditions; therefore, they are useful for diagnosis and monitoring in many medical applications. Measuring living tissues, however, is a challenging task that poses countless technical and practical problems, in particular if the tissues need to be measured under the skin. This paper presents a bio-impedance sensor ASIC targeting a battery-free, miniature size, implantable device, which performs accurate 4-point complex impedance extraction in the frequency range from 2 kHz to 2 MHz. The ASIC is fabricated in 150 nm CMOS, has a size of 1.22 mm × 1.22 mm and consumes 165 μA from a 1.8 V power supply. The ASIC is embedded in a prototype which communicates with, and is powered by an external reader device through inductive coupling. The prototype is validated by measuring the impedances of different combinations of discrete components, measuring the electrochemical impedance of physiological solution, and performing ex vivo measurements on animal organs. The proposed ASIC is able to extract complex impedances with around 1 Ω resolution; therefore enabling accurate wireless tissue measurements.
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| 17. |
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| 18. |
- Zafar, Waqar Ali, et al.
(författare)
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Time series subsidence evaluation using NSBAS InSAR: a case study of twin megacities (Rawalpindi and Islamabad) in Pakistan
- 2024
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Ingår i: Frontiers in Earth Science. - : Frontiers Media SA. - 2296-6463. ; 12
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Tidskriftsartikel (refereegranskat)abstract
- Ground deformation associated with natural and anthropogenic activities can be damaging for infrastructure and can cause enormous economic loss, particularly in developing countries which lack measuring instruments. Remote sensing techniques like interferometric synthetic aperture radar (InSAR) can thus play an important role in investigating deformation and mitigating geohazards. Rawalpindi and Islamabad are twin cities in Pakistan with a population of approximately 5.4 million, along with important government and private entities of national and international interest. In this study, we evaluate rapid paced subsidence in this area using a modified small baseline subset technique with Sentinel-1A imagery acquired between 2015 and 2022. Our results show that approximately 50 mm/year subsidence occurs in the older city of Rawalpindi, the most populated zone. We observed that subsidence in the area is controlled by the buried splays of the Main Boundary Thrust, one of the most destructive active faults in the recent past. We suggest that such rapid subsidence is most probably due to aggressive subsurface water extraction. It has been found that, despite provision of alternate water supplies by the district government, a very alarming number of tube wells are being operated in the area to extract ground water. Over 2017–2021, field data showed that near-surface aquifers up to 50–60 m deep are exhausted, and most of the tube wells are currently extracting water from depths of approximately 150–160 m. The dropping water level is proportional to the increasing number of tube wells. Lying downstream of tributaries originating from the Margalla and Murree hills, this area has a good monsoon season, and its topography supports recharge of the aquifers. However, rapid subsidence indicates a deficit between water extraction and recharge, partly due to the limitations inherent in shale and the low porosity near the surface lithology exposed in the area. Other factors amplifying the impacts are fast urbanization, uncontrolled population growth, and non-cultivation of precipitation in the area.
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