The fast advancements in the fields of mobile internet and the internet of things (IoT) have caused several serious challenges for the traditional centralized cloud computing like large latency, small spectral efficie...
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Adaptive tracking of nonlinear dynamic plants is currently an important area of research. The main difficulty being felt by the research community is the lack of a general modelling framework that can facilitate synth...
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Previous research in the tradeoff between throughput and delay in wireless networks has focused on networks with fixed nodes or nodes with random mobility. In this paper, motivated to study fundamental limits of delay...
ISBN:
(纸本)9781604234916
Previous research in the tradeoff between throughput and delay in wireless networks has focused on networks with fixed nodes or nodes with random mobility. In this paper, motivated to study fundamental limits of delay in a wireless network with maximal throughput, we examine delay scaling in networks in which the mobile nodes may control their own motion and schedule the pickup and delivery of messages so as to achieve maximal throughput while minimizing delay. We find that by letting nodes control their mobility, even with very minimal information, results in significant delay reduction.
This paper analyzes database requirement of embedded development and embedded Web server, combines with the database design on embedded home gateway using SQLite architecture, and implements the SQLite embedded databa...
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作者：
Jiet, Moses MakueiKamble, AahashPuri, Chetan GajananVerma, Prateek
Faculty of Engineering and Technology Department of Computer Science & Design Maharashtra Wardha442001 India
Faculty of Engineering and Technology Department of Artificial Intelligence & Data Science Maharashtra Wardha442001 India
The integration of deep learning into the examination of brain connectivity marks a transformative era in understanding neural networks. This article provides a concise overview of the burgeoning field of deep learnin...
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Fire risk in Multi-Unit Residential Buildings (MURBs) poses a substantial threat to public safety, property, and the environment. Smart-Green technologies are integrated into MURBs for occupant comfort and environment...
Fire risk in Multi-Unit Residential Buildings (MURBs) poses a substantial threat to public safety, property, and the environment. Smart-Green technologies are integrated into MURBs for occupant comfort and environmental sustainability. However, some technologies increase fire risk levels due to highly combustible materials. Therefore, an integrated fire risk management framework is developed to (i) assess combustible materials ignited in fire incidents (CMs-FIs); (ii) effectively select appropriate extinguishing agents and methods of fire control; and (iii) predict the potential impacts using artificial neural networks (ANN). The framework was applied to seven cities in British Columbia (Canada). The results identified 36 CMs-FIs in Smart-Green MURBs. Benchmarks for relative frequencies of CMs-FIs and total financial loss were established. The most critical CMs-FIs for each city were determined and ranked. In Vancouver city, 24 % and 42 % of CMs-FIs are at very high -risk and high-risk levels, respectively. Moreover, approximately 45 % of green technologies are at high combustibility levels. Appropriate extinguishing agents for the top 10 critical CMs-FIs were found to be water (70 %), foam (80 %), dry-powder (100 %), CO 2 (20 %), and wet-chemical (70 %). In addition, the study shows that makeshift firefighting and extinguishers are most effective in controlling fire extension, damages, and financial losses. The developed strong ANN model helps predict fire impacts, including damages and extension of fire and dollar loss. The proposed framework can assist decision-makers in enhancing fire protection in Smart-Green MURBs by avoiding critical CMs-FIs, investing in appropriate safety strategies, and improving the related regulations and codes.
This research presents a novel geothermal-based multigeneration framework engineered to supply electric energy, hydrogen gas, and chilled water. The framework incorporates an organic Rankine cycle (ORC) with an open f...
This research presents a novel geothermal-based multigeneration framework engineered to supply electric energy, hydrogen gas, and chilled water. The framework incorporates an organic Rankine cycle (ORC) with an open feed heater (OFH), a Kalina cycle (KC), an absorption refrigeration cycle (ARC), and a PEM electrolyzer (PEME). A comprehensive thermodynamic and economic evaluation is performed, followed by a multi-objective optimization using NSGA-II in MATLAB to maximize exergetic performance and minimize cost. Key parameters include geothermal fluid temperature, mass flow rate, ORC turbine inlet temperature, and evaporator pinch point temperature difference (PPTD). The ORC exhibits the highest exergy destruction (42%), trailed by the KC (26%) and PEME (19%), while the ARC contributes the least (13%). Elevating geothermal fluid temperature significantly enhances exergy efficiency and hydrogen output, although costs increase. Enhancing the mass flow rate from 5 kg/s to 18 kg/s substantially improves power generation and cooling capacity but diminishes efficiency and escalates equipment expenses. Increasing the evaporator PPTD reduces power output and hydrogen production yet increases chilled water generation and slightly lowers the overall cost rate. Under optimal conditions, the plant achieves the exergetic performance of 38.56% and a cost rate of 17.11 $/h, highlighting the potential of this integrated approach to deliver sustainable, cost-effective solutions for electricity generation, refrigeration, and hydrogen production from geothermal resources.
Breast cancer is the world's second-leading cause of cancer death among women. It is the most frequent type of invasive cancer in women and the second biggest cause of mortality in the United States. Breast cancer...
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Through the development of civilization, there are different addictive behaviour. With the new technologies living in our daily life, Internet addiction has shown growth, especially for children. Among all the Interne...
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