Due to a successful commitment to developing an international education offer, the number of foreign students enrolled in studies at Riga Technical University (RTU) is increasing significantly every year. In this pape...
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Oral cancer is a main worldwide health problem accounting for 606,520 deaths in 2020, and it is most predominant in the middle-and low-income nations. Permitting computerization in identifying potentially malignant an...
Oral cancer is a main worldwide health problem accounting for 606,520 deaths in 2020, and it is most predominant in the middle-and low-income nations. Permitting computerization in identifying potentially malignant and malignant lesions in the oral cavity would possibly result in low-expense and early detection of the disease. The most important purpose of this research is to find the Oral Cancer Lesions affected region in the tongue images. The current work utilized the GVF algorithm to detect Oral Cancer Lesions using features involved in tongue images. This article offers a novel approach to merging bounding box annotations from different medical practitioners. Additionally, gradient vector flow was used to segment images, where the complicated patterns have been obtained for tackling this difficult task. Using the initial data gathered in this study, a hybrid classifier algorithm was assessed to detect Oral cancer lesions, and features like colour, texture and geometry were extracted. BioMed Chinese Medicine Repository collects the tongue images. Additionally, performances are described categorizing as per the kind of referral decision. Our initial findings establish support vector machine has the probability of challenging this stimulating task.
Convex optimization finds many real-life applications, where – optimized on real data – optimization results may expose private data attributes (e.g., individual health records, commercial information), thus leading...
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The NBD (Network Block Device) protocol enhances the Android ecosystem's storage management and power efficiency, particularly on ARM devices. The study addresses storage limitations on ARM devices and explores ho...
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The NBD (Network Block Device) protocol enhances the Android ecosystem's storage management and power efficiency, particularly on ARM devices. The study addresses storage limitations on ARM devices and explores how NBD can provide a solution. By leveraging NBD, Android devices can connect to remote storage resources and expand storage capacity without physical upgrades. This enables Android devices to be used as controllers for IoT networks and smart home appliances. The study includes statistical comparisons of NBD with alternative protocols like sFTP, iSCSI, NFS, SMB, and HTTP. Through read-and-write tests, NBD exhibits superior performance in bandwidth speed and operation duration, with speeds more than twice as fast as other protocols. Furthermore, the evaluation compares NBD's cloud storage capabilities with popular services such as Google Drive, Dropbox, OneDrive, and GCP. NBD outperforms these services regarding read and write speeds, completing operations much faster. The study also examines NBD's power consumption, demonstrating its energy efficiency compared to other protocols and cloud storage services. NBD's lower power consumption makes it ideal for energy-sensitive Android applications. In conclusion, the integration of NBD into the Android ecosystem enhances efficiency, storage flexibility, and adaptability. It empowers ARM-based Android devices with increased capabilities and versatility.
Multiple-input multiple-output (MIMO) has been a key technology for wireless systems for decades. For typical MIMO communication systems, antenna array elements are usually separated by half of the carrier wavelength,...
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Multiple-input multiple-output (MIMO) has been a key technology for wireless systems for decades. For typical MIMO communication systems, antenna array elements are usually separated by half of the carrier wavelength, thus termed as conventional MIMO. In this paper, we investigate the performance of multi-user MIMO communication, with sparse arrays at both the transmitter and receiver side, i.e., the array elements are separated by more than half wavelength. Given the same number of array elements, the performance of sparse MIMO is compared with conventional MIMO. On one hand, sparse MIMO has a larger aperture, which can achieve narrower main lobe beams that make it easier to resolve densely located users. Besides, increased array aperture also enlarges the near-field communication region, which can enhance the spatial multiplexing gain, thanks to the spherical wavefront property in the near-field region. On the other hand, element spacing larger than half wavelength leads to undesired grating lobes, which, if left unattended, may cause severe inter-user interference (IUI). To gain further insights, we first study the spatial multiplexing gain of the basic single-user sparse MIMO communication system, where a closed-form expression of the near-field effective degree of freedom (EDoF) is derived. The result shows that the EDoF increases with the array sparsity for sparse MIMO before reaching its upper bound, which equals to the minimum value between the transmit and receive antenna numbers. Furthermore, the scaling law for the achievable data rate with varying array sparsity is analyzed and an array sparsity-selection strategy is proposed. We then consider the more general multi-user sparse MIMO communication system. It is shown that sparse MIMO is less likely to experience severe IUI than conventional MIMO, especially when users are densely located, thanks to the nonuniform distribution of spatial angle difference among users. Finally, numerical results are provided
The long-tailed distribution is a common phenomenon in the real world. Extracted large scale image datasets inevitably demonstrate the long-tailed property and models trained with imbalanced data can obtain high perfo...
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The Multiple Sequence Alignment problem is considered to be an NP-Hard problem, requiring initially a specific encoding schema and design, as for any other of its siblings, to implement and run any of the main categor...
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The Multiple Sequence Alignment problem is considered to be an NP-Hard problem, requiring initially a specific encoding schema and design, as for any other of its siblings, to implement and run any of the main categories of heuristic. This paper intends to discuss our proposed generic implementation of the Tabu Search algorithm, a heuristic procedure proposed by Fred Glover to solve discrete combinatorial optimization problems. In this research, we try to coordinate and synchronize different designs/implementations discussed in many literatures, with some of the references mentioned in this paper. The basic idea is to avoid that the search for best solutions stops when a local optimum is found, by maintaining a list of non-acceptable or forbidden (taboo) solutions/costs, called Tabu list or Short-Term Memory (STM). In our algorithm, we attempt to add some executions tracing functionalities in order to help later analysis for initial parameters tuning. On the other hand, we propose to include the concept of a list called Long-Term Memory (LTM), so that some of the best solutions found so far can be saved, for search diversification.
The purpose of this paper is to design the optimal controllers for nonlinear processes with Shape Memory Alloy (SMA) wire actuators viewed as controlled processes. Optimal process models are first derived. A comparati...
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The purpose of this paper is to design the optimal controllers for nonlinear processes with Shape Memory Alloy (SMA) wire actuators viewed as controlled processes. Optimal process models are first derived. A comparative analysis is done between the evolved Takagi-Sugeno-Kang (TSK) fuzzy models of SMA wire actuators, two linear dynamic system models with parameters optimally tuned using the recent metaheuristic Grey Wolf Optimiser (GWO) algorithm and one linear dynamic system model obtained in a previous paper using the System Identification Toolbox. Measured input-output data is involved in this comparison. The parameters of two Proportional-Integral-Derivative controllers, a type-1 fuzzy controller and an interval type-2 fuzzy controller are next optimally tuned using GWO, and a comparative analysis of these linear and nonlinear controllers is done. The simulation results illustrate that the type-2 fuzzy controller ensure good performance for these processes.
Solid-liquid interactions are central to diverse processes. The interaction strength can be described by the solid-liquid interfacial free energy (γSL), a quantity that is difficult to measure. Here, we present the d...
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Solid-liquid interactions are central to diverse processes. The interaction strength can be described by the solid-liquid interfacial free energy (γSL), a quantity that is difficult to measure. Here, we present the direct experimental measurement of γSL for a variety of solid materials, from nonpolar polymers to highly wetting metals. By attaching a thin solid film on top of a liquid meniscus, we create a solid-liquid interface. The interface determines the curvature of the meniscus, analysis of which yields γSL with an uncertainty of less than 10%. Measurement of classically challenging metal-water interfaces reveals γSL∼30–60 mJ/m2, demonstrating quantitatively that water-metal adhesion is 80% stronger than the cohesion energy of bulk water, and experimentally verifying previous quantum chemical calculations.
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