A Demand Forecasting Model Leveraging Machine Learning to Decode Customer Preferences for New Fashion Products by S. Anitha, R. Neelakandan

“…K-means clustering, an unsupervised machine learning algorithm, is applied to form clusters by grouping similar profiles. …”
Get full text

Anomaly intrusion detection based on modified SVM by Hui ZHANG, Cheng LIU

“…A modified SVM multi-classification algorithm integrated with discriminant analysis (D-SVM) was pro-posed,which could solve the problem of low detection accuracy and high false alarm rate caused by unbalanced datasets.For a multi-classification problem could be divided into several binary classification problems,D-SVM could not only have the virtue of high detection accuracy,but also have a low false alarm rate even confronted with unbalanced datasets.Experiments based on KDD99 dataset verify the feasibility and validity of the integrated ap-proach.Results show that when confronted with multi-classification problems,D-SVM could achieve a high detec-tion accuracy and low false alarm rate even when SVM alone fails because of the unbalanced datasets.…”
Get full text

Design of a Machine Learning-Based Platform for Currency Market Prediction: A Fundamental Design Model by Kevin Gordillo-Orjuela, Paulo Alonso Gaona-García, Carlos Enrique Montenegro-Marín

“…This growth has made it possible to train several techniques that increasingly allow us to improve predictions according to the criteria that each algorithm supports and can cover. However, the development of these models and their deployment within computer platforms is a complex task, given the variety of approaches that each researcher uses based on the training process and therefore by definition of the model, which leads to the consumption of high computing resources for its training, as well as various processes for its deployment. …”
Get full text

IMPROVING THE ACCOUNTING AND DISTRIBUTION OF OVERHEAD COSTS BASED ON THE USE OF FUNCTIONAL COST ACCOUNTING AND ABC SYSTEM by G. A. Adamova, L. Sh. Zhafyarova

“…The article highlights and discloses a step-by-step algorithm for the distribution of indirect costs when using the ABC system. …”
Get full text

Microseismic Signal Classification Based on Artificial Neural Networks by Chong-wei Xin, Fu-xing Jiang, Guo-dong Jin

“…An automatic classification algorithm based on artificial neural networks (ANNs) has been proposed. …”
Get full text

Numerical Solutions of Nonlinear Fractional Partial Differential Equations Arising in Spatial Diffusion of Biological Populations by Jagdev Singh, Devendra Kumar, Adem Kılıçman

“…The main aim of this work is to present a user friendly numerical algorithm based on homotopy perturbation Sumudu transform method for nonlinear fractional partial differential arising in spatial diffusion of biological populations in animals. …”
Get full text

Estimation of extreme temperatures in direct solar methane pyrolysis within a porous medium by Hengrui Xu, Mostafa Abuseada, Y. Sungtaek Ju, R. Mitchell Spearrin, Timothy S. Fisher

“…By solving a two-dimensional heat transfer problem and applying an inverse optimization algorithm, we estimate the quasi-steady state spatial temperature distribution in a fibrous porous carbon substrate. …”
Get full text

Study on Absolute Positioning Error Compensation for the Drill Rod of the Three-arm Rock-drilling Jumbo by Xia Yimin, Li Zhengguang, Luo Jianli, Ma Jiesong

“…Finally,the laser total station is used as the measuring device,and the LM algorithm is used to solve the calibration parameters to verify the kinematics calibration effect. …”
Get full text

Heterogeneous resource cooperative game in space-ground computing power network by Yutong ZHANG, Yuming PENG, Boya DI, Lingyang SONG

“…To deal with the resource competition among satellites in the multi-satellite space-ground computing network, a space-ground heterogeneous resource cooperative game mechanism was designed in terms of the computing and spectrum domains.Each satellite published a computing task which was independent of other tasks and relied on UE to generate raw data.By competing the resources of user terminals and UE, the task offloading and processing was achieved.To provide real-time data services, a distributed scheme was proposed based on multi-agent reinforcement learning to coordinate the computing and spectrum resource competition among satellites, thereby minimizing the system latency.Simulation results indicated that, compared with the existing schemes, the proposed algorithm achieves a lower system latency by fully utilizing the computing and spectrum resources and coordinating the resource competition.…”
Get full text

Performance enhancement scheme for IRS-assisted cognitive backscatter communication network by Bin LYU, Yi CAO, Jian LI, Ting QI

“…In order to achieve the self-sustainable cognitive radio network （CRN） and improve its communication efficiency， an efficient multi-mode switching scheme assisted by the intelligent reflecting surface （IRS） for the overlay scenario was proposed.In particular， the secondary transmitter （ST） could work in either backscatter communication （BackCom） mode or harvest-then-transmit （HTT） mode.The IRS was exploited to enhance the energy harvesting， information backscattering， and information transmission efficiencies at the ST.To maximize the system sum-rate， an optimization problem about the phase shirts at the IRS， time scheduling， and power allocation was formulated.Since the formulated problem was non-convex， an efficient block coordinate descent （BCD） based algorithm was proposed to achieve the sub-optimal solution.Simulation results confirm that the proposed scheme can achieve up to 200% sum-rate gain over the benchmark schemes.…”
Get full text

AoI-enabled multi-node cooperative sensing based on integration of sensing, communication, and computing in vehicular networks by Yiqing ZHOU, Haoyue ZHANG, Yanli QI, Qing CAI, Ling LIU, Jiangzhou WANG

“…For the requirements of real-time services in autonomous driving systems, such as high-definition (HD) maps, based on the integration of sensing, communication, and computing, a multi-node cooperative sensing mechanism was proposed with the age of information (AoI) as the real-time indicator.Considering the constraints on communication and computing resources and vehicle energy consumption, the information collection, transmission and processing of sensing nodes were optimally scheduled to minimize the AoI averaged over time.A Lyapunov-based online scheduling algorithm was proposed to transform the long-term stochastic optimization problem into an online optimization problem, which could be solved with low complexity.Compared with the existing mechanism considering integrated communication and computing, the proposed mechanism can improve real-time performance by 9%～50%.…”
Get full text

FORMATION OF FUND OF ESTIMATED MEANS WHEN STUDYING NATIONAL HISTORY BY MEANS OF THE INFORMATIVE AND ACTIVE MATRIX by Tamara B. Tarabrina, Olga B. Voloshina

“…The tests representing in-terconnected sequence of elements of a matrix which is defined not only algorithm and logic of the solution of educational tasks, but also dependence of receiving the correct answer on right performance previous are offered. …”
Get full text

Design of Meander-Line Antennas for Radio Frequency Identification Based on Multiobjective Optimization by X. L. Travassos, A. C. Lisboa, D. A. G. Vieira

“…Some results using a deterministic optimization algorithm are shown.…”
Get full text

A spatial diversity cooperative spectrum sensing system based on blockchain and deep learning by Zhongshan XIAO, Chunqi WANG, Daquan FENG

“…Cooperative spectrum sensing is a key technology in cognitive radio.A data-driven intelligent cooperative spectrum sensing system was proposed with spatial diversity running on a smart contract to address issues of security, privacy, incentive and hidden terminals in cooperative spectrum sensing.Specifically, a motivated spectrum sensing system was designed by taking advantage of the decentralization of blockchain technology and the immutability of data.Secondly, a deep learning-based approach was proposed to identify malicious users in the system.In addition, to achieve higher accuracy in recruiting sensing nodes more efficiently in the system, a hard decision cooperative spectrum sensing fusion algorithm based on performance weights and spatial diversity was designed.The experimental results indicate that the proposed solution outperforms traditional cooperative spectrum sensing algorithms in terms of security, privacy, motivation, and sensing accuracy.…”
Get full text

Low frequency acoustic source imaging method based on coprime position non-synchronous measurement by Juan WEI, Yutao HE, Fangli NING

“…In order to solve the problem that the acoustic imaging resolution was low under the condition of low frequency and low SNR due to the limited microphone array aperture and element density, a high resolution imaging method of low frequency and low SNR sound source was proposed based on the non-synchronous measurement of the coprime position.Firstly, the acoustic signal was received at the coprime position and the missing cross-spectrum matrix was calculated by the mobile prototype array.Then, the improved accelerated proximity gradient algorithm was used to complete the missing cross-spectrum matrix, and the complete cross-spectrum matrix was vectorized.Finally, the virtual array signal model was established and solved.The simulation results demonstrate that the proposed method has lower positioning error, higher imaging resolution, and better robustness and noise immunity than the previous methods under the condition of low frequency and low SNR.…”
Get full text

Adaptive Complex-Valued Independent Component Analysis Based on Second-Order Statistics by Yanfei Jia, Xiaodong Yang

“…The simulation results demonstrate the validity of the proposed algorithm.…”
Get full text

Research on the multiuser MIMO linear cooperative spectrum sensing in cognitive radio networks by Yong-qiang HEI, Xiao-hui LI, Wen-tao LI

“…The multiuser MIMO based linear cooperative spectrum sensing problem was investigated in cognitive radio system to improve the reliability of spectrum sensing.Both the local spectrum detecting strategy and global spectrum detecting strategy for multiuser MIMO based linear cooperative spectrum sensing system were derived.Then the optimization model that the different weights assigned on the receive signals of each user at the fusion center for global decision were optimized to maximize the detection probability given a targeted probability of false alarm is established.Furthermore,genetic algorithm (GA) was introduced to find the optimal weight vector of the above-mentioned cooperative spectrum sensing problem,with the purpose of reducing the sensing time in the spectrum sensing process.The simulation results show that,the reliability of spectrum sensing in cooperative spectrum sensing system can be efficiently enhanced with multiple antennas.Besides,the proposed GA method is efficient and stable,and achieves better detection performance when compared with the existing methods.…”
Get full text

Improving Probabilistic Error Cancellation in the Presence of Nonstationary Noise by Samudra Dasgupta, Travis S. Humble

“…Our experiments using a five-qubit implementation of the Bernstein–Vazirani algorithm and conducted on the ibm_kolkata device reveal a 42% improvement in accuracy and a 60% enhancement in stability compared to nonadaptive PEC. …”
Get full text

Detection of Two-Level Inverter Open-Circuit Fault Using a Combined DWT-NN Approach by Bilal Djamel Eddine Cherif, Azeddine Bendiabdellah

“…This paper work addresses a diagnostic technique based on the discrete wavelet transform (DWT) algorithm and the approach of neural network (NN), for the detection of an inverter IGBT open-circuit switch fault. …”
Get full text

Optimal service selection approach considering both atomic transaction and end-to-end QoS constraints by LIU Hai1, ZHANG Wei-min1, ZHANG Zhu-xi2, JIA Xiong1, LIAO Wei1

“…An actual SCG（service candidate graph） model-based optimal service selection approach was proposed.Firstly,the approach created transactional constraint relationships among candidates as an actual SCG model with several build-ing rules,whose correctness had been also proved;Then,an optimal QoS-aware service selection algorithm on the basis of BFS（breadth first search） was designed,where a relaxing and pruming method was applied to keep the computation scale in polynomial time.Finally,simulation experiments were conducted with real-world QoS dataset and random data-set,whose results demonstrated the beneficial performance on global QoS utility and outstanding successful selecting ra-tio over other related work.Meanwhile,the correctnesss has also been proved in practice by implementing a transactional automation.…”
Get full text