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Proceedings ArticleDOI
M.C. Gill, S.C. Cook, T. Giles, J.T. Ball 
08 Nov 1995
3 Citations
The results show that this multi-rate modem offers superior performance to contemporary modems while also supporting rate adaptation.
Experimental results show that our modem has the best performance among all recently developed low-power modems.
This new high-speed modem enables various new multimedia modem applications.
The prototype 256 QAM modem performance indicates the prospect of a 400 Mbit/s 256 QAM modem.
In this context, the proposed modem provides an efficient alternative over conventional DPSK modem.
Proceedings ArticleDOI
03 Nov 2009
31 Citations
Our optical modem uses inexpensive components, and compensates by employing sophisticated detection algorithms.
This enabled us to realize the complete system with cheaper equipment, leading to an affordable low-cost modem.
Experiments show that the developed modem offers excellent performance.
The proposed solution lowers costs and implementation burden by using the Internet connection that leans on standard home modem-routers, already present normally in the homes, and reducing the need for range extenders thanks to the long range of the Wi-Fi signal.
The results highlight the ability of the new modem to autonomously monitor network configuration and channel quality.<>

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How to classify target in side scan sonar?
5 answers
To classify targets in side-scan sonar images, various advanced methods have been proposed in recent research. One approach involves using transfer learning with style transformation to improve classification accuracy. Another method focuses on target segmentation using a blended hybrid dilated convolution and pyramid split attention UNet model, which enhances the ability to segment dense and overlapping underwater targets. Additionally, a novel small target detection method based on low-rank sparse matrix factorization has been suggested, which effectively extracts target information and removes noise for accurate detection. Furthermore, a convolutional neural network model with deep separable residual modules and adaptive transfer learning has shown promising results in accurately segmenting different categories of targets in sonar images. These methods collectively contribute to improving the classification and detection of targets in side-scan sonar imagery.
How to establish Laboratory Machine and Laboratory Machines data transmission?
5 answers
To establish a Laboratory Machine and optimize Laboratory Machines data transmission, various approaches can be considered. Implementing IoT technologies with wireless and LAN capabilities can enable real-time data collection and dissemination to cloud servers for collaboration among multiple laboratories. Additionally, utilizing optimization algorithms based on frequency control can enhance data transmission efficiency, throughput, and reduce resource consumption in laboratory instruments and equipment. Furthermore, developing educational platforms that automate data acquisition, processing, and evaluation can improve the efficiency of experimental data analysis in electric machine laboratories, benefiting undergraduate students. By integrating these methodologies, a comprehensive and efficient system for Laboratory Machine operations and data transmission can be established, ensuring seamless functionality and enhanced performance.
What Is the area of captability of Audiomoth?
5 answers
The AudioMoth device offers a wide range of capabilities in the field of wildlife monitoring and acoustic recording. It is a low-cost, small-sized, and energy-efficient acoustic detector that can record animal calls or human activity at high sample rates of up to 384 kHz. The device's open-source nature and programmable features make it versatile for various applications, including large-scale, long-term monitoring for biodiversity and natural resource exploitation. AudioMoth's performance has been evaluated through tests on frequency response patterns, battery life under different conditions, and its ability to withstand extreme outdoor environments. These features make AudioMoth a valuable tool for researchers and conservation managers looking to enhance their monitoring capabilities affordably and effectively.
How important is communication towards ensuring information security is implemented?
4 answers
Effective communication is integral to ensuring information security is implemented. Inadequate communication channels and poor listening skills can lead to non-compliance with information security policies, posing risks to organizations. Research suggests that certain communication constructs strongly predict compliance with information security policies, such as reasons for communication, media appropriateness, non-conflicting interpretations, feedback immediacy, and personal focus. Communication software plays a crucial role in ensuring communication security, both in information transmission and data storage. Encryption algorithms like RSA and AES are commonly used to enhance the security and reliability of information. In satellite communication, information security is a major concern due to various limitations, and proper secure information transmission is essential. Protecting object fiber-optic data transmission systems from unauthorized access is crucial for information security, and weakening the power of the information signal can enhance security without significant data transmission rate decrease. Organizational communication plays a vital role in information security, with communicative actions, deep structures, and communication traits influencing prevention and response to security breaches.
How mrmr, fisher score, relief f multiple features selection techinques used for stator inter turn winding fault?
4 answers
Multiple feature selection techniques such as mRMR, Fisher score, and ReliefF have been used for stator inter-turn winding fault diagnosis. These techniques aim to identify the most relevant features that can effectively detect and classify the faults in stator windings. The application of continuous wavelet transform (CWT) and artificial intelligence (AI) techniques, such as multilayer perceptron, support vector machine (SVM), and k-nearest neighbors (KNN), have been proposed for the detection and classification of stator winding faults. Another approach involves the analysis of stator vibration signals using adaptive chirp mode decomposition (ACMD) and demodulation energy operator of symmetrical differencing (DEO3S) to extract fault features. Additionally, multi-physics coupling simulation and analysis of electromagnetic, thermal, and mechanical characteristics have been used for fault diagnosis. Furthermore, the classification of defect types in stator windings has been achieved through the analysis of phase-resolved partial discharge (PD) spectra using machine learning techniques, such as multiclass SVM with polynomial-type and radial basis function (RBF) kernels.
What are the challenges faced in developing accurate underwater object detection systems?
5 answers
Developing accurate underwater object detection systems faces several challenges. These challenges include sparse target examples on the seafloor, distortions from sonar image construction, variations in target pose and sediment accumulation. Another challenge is the inherent illumination inhomogeneity in underwater images, which makes it difficult to detect marine targets. Poor lighting conditions, sediment burial, and marine biofouling mimicry also pose challenges for traditional target detection algorithms. Additionally, imbalanced lighting, inadequate contrast, frequent occlusions, and mimicry displayed by aquatic life forms hinder object detection in underwater environments. These challenges require the development of innovative solutions such as synthetic data generation, distortion augmentation, and the design of specialized architectures and loss functions to improve the accuracy and reliability of underwater object detection systems.
What is porosity used for in unconventional reservoirs???
5 answers
Porosity is an important parameter in unconventional reservoirs as it controls the storage capacity and fluid transport properties of these reservoirs. It is used to assess the amount of pore space available for fluid storage and flow within the reservoir. In shale reservoirs, porosity is particularly crucial for evaluating the potential for gas storage and production. Different techniques such as nuclear magnetic resonance (NMR), gas adsorption, mercury intrusion capillary pressure (MICP), and high-resolution imaging are used to measure and characterize the porosity and pore size distribution in unconventional reservoirs. These measurements help in understanding the complexity of the pore fabric, identifying the presence of fractures, and determining the mineralogical makeup of the reservoir. Accurate porosity measurements are essential for reliable assessment of reservoir potential and optimizing production strategies in unconventional reservoirs.
- Downsides/negative use of AI in aquaculture and fisheries?
5 answers
The downsides or negative use of AI in aquaculture and fisheries are not explicitly mentioned in the provided abstracts. However, it is important to note that the use of AI in aquaculture and fisheries can face challenges related to water conditions, such as water turbidity and light scattering, which can affect the accuracy of data collection and image processing techniques. Additionally, the implementation of AI technologies in fish farming may require significant investment and expertise, which could be a barrier for smaller-scale operations. It is also worth considering that the application of AI in aquaculture and fisheries may raise ethical concerns related to animal welfare and the potential for job displacement in the industry. However, these specific downsides are not explicitly addressed in the provided abstracts.
How does push and pull theory apply to the scuba diving experience?
5 answers
The push and pull theory is applied to the scuba diving experience by understanding the influences of diving experience on diver behavior and perceptions. Experienced divers tend to have positive self-assessments, but may be less satisfied with dive sites' health and management. They also view the impacts of scuba diving activities less critically than novice divers. This influence of diving experience is consistent across divers' segments at different locations. However, there are also remarkable differences between study areas, indicating that generalizations on scuba diving experience should be used cautiously. By considering the push and pull factors, scuba diving destinations can better manage the needs and expectations of experienced divers.
Is 3D scanning used in cultural heritage preserwation?
4 answers
Yes, 3D scanning is used in cultural heritage preservation. It is an important tool for creating detailed digital models of cultural heritage sites, artifacts, and monuments, which can be used for research, restoration, and virtual display. Additionally, 3D scanning allows for the creation of physical copies of cultural heritage objects through 3D printing, which can be used for education, exhibition, and preservation purposes. There are various methods of 3D scanning, such as TLS acquisition, MVS pipeline, and Neural Radiance Fields (NeRF). These methods have been used to document and preserve ancient statues, assess the state of preservation of archaeological sites, and capture underwater archaeological sites and shipwrecks. The use of 3D scanning in cultural heritage preservation offers advantages such as non-invasiveness, the ability to create digital and physical replicas, and the potential for education and exhibition purposes.
What does integrating Robotic Agents with Underwater Communication Networks achieve?
5 answers
Integrating robotic agents with underwater communication networks achieves the creation of a platform for the Marine Internet of Things (MIoT) that enables the interaction and digital navigation of heterogeneous marine robotic agents. This integration combines various robotic agents, such as autonomous underwater vehicles and remotely operated vehicles, with active and passive means of communication and illumination of the underwater and surface environment. The goal is to create a unified communication system and an integrated navigation and information management system to solve complex problems of navigation and motion control of the robotic agents. The architecture of the MIoT platform needs to be defined to ensure a unified approach to data exchange.