scispace - formally typeset
Search or ask a question

Answers from top 9 papers

More filters
Papers (9)Insight
With the help of wireless battery charger technology, power can be supplied to the electric cars, drones, hospital’s equipment, and smartphones.
Next, we propose a novel concept of wireless charger networking that allows chargers to be connected to facilitate information collection and control.
We demonstrate the application of the wireless charger network in user-charger assignment, which clearly shows the benefit in terms of reduced costs for users to identify the best chargers to replenish energy for their mobile devices.
The paper proposed an improved detecting method based on balance coil for mobile phone wireless charging system according to comparing the advantages and disadvantages of traditional metal detection methods.
When compared to dedicated wireless charging solutions, integration of NFC and wireless charging into the same implementation will entail more compact and cost-efficient charging interfaces for portable devices, a more pervasive charger infrastructure in future with reduced costs, and the possibility of integrating NFC-based services into charging applications.
Proceedings ArticleDOI
Cheng Hu, Yun Wang 
18 Dec 2014
16 Citations
With a Mobile Charger (MC), the newly developed charging schemes can be readily applied on a WRSN running traditional protocols.
Proceedings ArticleDOI
Yanping Yao, Hongyan Zhang, Zheng Geng 
19 Sep 2011
11 Citations
For the first time, a wireless charger prototype based on this technology is presented in this paper.
The model is able to exploit the wireless charging ability and reduce the moving delay of the charger at the same time.
To our knowledge, this is one of very first works that consider charger deployment with partial coverage in wireless rechargeable sensor networks.

See what other people are reading

Is S-O-R model the best?
5 answers
The S-O-R (Stimulus-Organism-Response) model is a valuable framework for understanding the influence of stimuli on human behavior. It highlights the interconnectedness of stimulation, organismic components, and responses, incorporating psychological concepts like learning, perception, emotion, motivation, and thinking. Additionally, the S-O-R model emphasizes self-regulation through coordination of actual and desired states based on motives and needs. While the S-O-R model proves effective in various contexts such as music influence on emotions and cognitive functions, it may not be universally considered the best model. Other models like the Operating Virtualized System oriented to Ad-hoc networks (S.O.V.O.R.A.) offer specific applications in managing computing resources in wireless networks. Therefore, the effectiveness of a model depends on the specific context and objectives it aims to address.
How to setup and read strain gauge?
5 answers
To set up and read a strain gauge, various methods and materials can be utilized based on different applications. One approach involves using a wireless strain sensor powered by a light source, enabling continuous operation and dynamic interrogation wirelessly. Another method employs graphene-based strain gauges, offering high sensitivity and reproducibility in small strain fields, with potential for self-sensing structures. Additionally, all-elastomer strain measurement devices with high gauge factors and mechanical compliance similar to human skin can be used for soft material strain quantification, such as on the human body. Furthermore, micro-mechanical strain sensors utilizing aligned carbon black particles in a polymer matrix demonstrate high sensitivity with reversible resistivity changes upon stretching. These diverse approaches showcase the versatility and advancements in strain gauge technology for various applications.
What are the current research gaps in the development and implementation of smart greenhouses for sustainable agriculture?
4 answers
Current research gaps in the development and implementation of smart greenhouses for sustainable agriculture include the lack of standardization in data collection equipment and greenhouse specifications. Additionally, challenges persist in disease monitoring, requiring advanced technologies like convolutional neural networks for accurate plant health classification. There is a need for more efficient and sustainable food production systems, with traditional farming methods proving energy-intensive and sub-optimal. Moreover, while AI technologies show promise in optimizing crop yields and resource use efficiency, critical challenges such as disparities in technology access and commercialization, energy consumption, and accuracy-computational speed tradeoffs remain unresolved. Addressing these gaps is crucial for advancing smart greenhouse technologies towards enhanced sustainability in agriculture.
What are the tools and pillars of PREVENTIVE Maintenance strategy?
5 answers
Preventive maintenance strategies encompass various tools and pillars to ensure efficient equipment upkeep. These include management tools like Lean Manufacturing, Gantt Chart, and Maintenance Performance Indicators, as well as Total Productive Maintenance (TPM) with four pillars, Electrical Predictive Maintenance, and Maintenance Management Program (MMP). Additionally, a preventive maintenance system integrates facility state information collection, facility information input, preventive maintenance processing, and preventive maintenance information output units. Furthermore, a preventive maintenance system for machine tools incorporates vibration detection, sound detection, servo motor current value detection, abnormality detection, and detection starting/finishing command setting parts. Proactive maintenance strategies for Wireless Sensor Networks involve analytical models for energy dissipation estimation, mobile robots for sensor replacement, and different scheduling approaches like Heuristic Centralized Proactive Maintenance Strategy (HCPMS) and Market-based Distributed Proactive Maintenance Strategy (MDPMS).
What are the key factors that should be considered when designing an optimization strategy for mobile wireless sensor networks?
5 answers
When designing an optimization strategy for mobile wireless sensor networks, several key factors should be considered. These include minimizing deployment costs, maximizing coverage, ensuring connectivity, balancing the network load, optimizing energy consumption, and enhancing network longevity. Additionally, the positioning of sensor nodes plays a crucial role in network performance, with optimal placement improving network effectiveness, coverage, and energy efficiency. Control strategies such as the Kalman Filter have shown superior performance in positioning sensor nodes accurately, reducing errors and improving overall network efficiency. Furthermore, in sensitive environments like battlefields, factors like node power, latency, and network survival are essential considerations during the deployment phases of wireless sensor networks.
How has the rise in scooter usage affected air quality in urban areas?
5 answers
The rise in scooter usage has had varying impacts on air quality in urban areas. Shared e-scooters have been found to replace modes of transport such as walking, public transport, private bikes, and private cars, with reasons for car users switching to e-scooters including reduced time spent searching for parking and avoiding congestion, as well as a motivation towards sustainable behavior. Additionally, the deployment of battery-powered scooters, like e-scooters, aims to provide a more environmentally friendly mode of transportation in smart cities, potentially reducing pollution levels. However, it is essential to note that reductions in polluting activities may not always lead to immediate improvements in air quality due to complex atmospheric processes, as seen in the analysis of NOx, O3, and PM2.5 data in urban areas during the global public health crisis in 2020.
How important is effective communication in emergency situations?
5 answers
Effective communication in emergency situations is crucial for various reasons. Research emphasizes the significance of communication in emergency settings, highlighting its impact on patient outcomes and safety. The need for a new communication ecosystem that bridges gaps between professionals and citizens is recognized to enhance resilience and integration. In emergency scenarios like wildfires or terrorist attacks, a robust communication network is essential for coordinating response efforts and ensuring timely information dissemination. Challenges in communication during emergencies can lead to delays, misunderstandings, and increased risks for the public. Therefore, establishing effective communication channels, utilizing technologies like wireless mesh networks, and promoting multi-directional communication are vital to improving emergency response outcomes and overall community safety.
How biosensor networks can be used for environment monitoring?
4 answers
Biosensor networks are crucial for environmental monitoring due to their high sensitivity and specificity in detecting various pollutants. These networks utilize biological components like enzymes, antibodies, and whole cells to detect contaminants such as heavy metals, pesticides, and phenolic compounds. Additionally, biosensors offer real-time analysis capabilities, making them ideal for in situ detection of pollutants in air, water, and soil. Furthermore, the development of microbial biosensors, aided by genetic engineering techniques, has enhanced their effectiveness in environmental monitoring. By incorporating biosensors into networks, it becomes possible to continuously monitor environmental parameters like temperature, humidity, and air quality. Overall, biosensor networks provide a cost-effective, portable, and rapid solution for detecting and analyzing pollutants in the environment, aiding in effective remediation processes.
How has the development of visible light communication technology impacted data transmission rates?
5 answers
The development of visible light communication (VLC) technology has significantly impacted data transmission rates, offering a promising alternative to traditional radio frequency (RF) communication methods. Innovations in VLC technology, such as the use of GaN-based blue micro-light-emitting diode (µ-LED) arrays, have demonstrated enhanced light output power and increased transmission data rates up to 1.50 Gbps, attributed to improvements in luminescence efficiency and optical power. Further advancements have enabled high data rate capacity in VLC, with successful transmission of data at rates of 10 Gbps over diffused channels, showcasing VLC's potential for smart city infrastructure. LiFi, a subset of VLC, has shown capabilities of transmitting data at speeds of 150 Mbps using LEDs, indicating a significant leap over traditional WiFi technologies. Techniques like pre-equalization have been implemented to improve the quality and reliability of audio data transmission in indoor environments, further enhancing the versatility of VLC. Despite challenges related to the frequency bandwidth and data transference rate due to long carrier lifetimes in luminescent materials, recent advances aim to overcome these limitations. Experimental results have confirmed VLC's efficacy in transmitting audio data, with green LEDs producing the highest output voltage, indicating color-specific performance variations. VLC's application in intelligent transportation systems (ITS) has been explored, highlighting its potential to improve traffic congestion and safety while offering high data security and energy efficiency. Experimental studies on Li-Fi have demonstrated successful data transmission of various types, including audio, text, and images, through VLC technology. Efforts to boost VLC data rates using commercial-off-the-shelf (COTS) devices have achieved throughputs up to 80 kbps at a distance of 2 m. Lastly, VLC's capability for image transmission has been validated, with a 100% success rate for images sent over a distance of 50 cm. Collectively, these advancements underscore VLC's transformative impact on data transmission rates, offering a viable and efficient alternative to conventional communication technologies.
How to filter a multifasta by coverage and identity?
5 answers
To filter a multifasta by coverage and identity, one can utilize innovative approaches such as designing filters based on multiple secondary structure profiles (SSPs). These filters can efficiently scan sequences, excluding irrelevant ones while detecting instances of interest with high sensitivity and specificity. Additionally, for scenarios where track identity is crucial, the Set JPDA (SJPDA) filter offers a label-free approach that localizes targets effectively and allows for the recall of identities as an overlay. In the realm of radio tag identification, mathematical models of linear time-invariant filters can be employed to address the identification problem in multiple access channels, offering insights into designing radio label impulse responses under specific constraints. These diverse methodologies showcase the adaptability and effectiveness of filtering techniques in various domains.
How do different theories of network power address the paradox of network connection and control?
5 answers
The paradox of network connection and control is addressed by different theories of network power in various ways. One theory focuses on the linear controllability framework for complex networks, revealing that applying control signals based on structural controllability theory may lead to energy divergence, especially with a single driving signal. Another theory introduces the power equation, stating that power lies with those connected to powerless others, which is significant in scenarios like bargaining situations. Additionally, research on network capacity and transmission power shows that optimal network capacity can increase with higher transmission power in certain configurations, but may be limited in uniformly distributed nodes, with interactions between power control, link scheduling, and routing affecting capacity gains.