Frequency hopping modulation recognition based on time-frequency energy spectrum texture feature by Hongguang LI, Ying GUO, Ping SUI, Zisen QI

“…For frequency hopping modulation identification,a novel method based on time-frequency energy spectrum texture feature was proposed.Firstly,the time-frequency diagram of the frequency hopping signal was obtained by smoothed pseudo Wigner-Ville distribution,and the background noise of the time-frequency diagram was removed by two-dimensional Wiener filtering to improve the resolution of the time-frequency diagram under low SNR conditions.Then,the connected-domain detection algorithm was used to extract the time-frequency energy spectrum of each hop signal and convert it into a time-frequency gray-scale image.The histogram statistical features and the gray-scale co-occurrence matrix feature were combined to form a 22-dimensional eigenvector.Finally,the feature set was trained,classified and identified by optimized support vector machine classifier.Simulation experiments show that the multi-dimensional feature vector extracted by the algorithm has strong representation ability and avoids the misjudgment caused by the similarity of single features.The average recognition accuracy of the six modulation methods of frequency hopping signals BPSK,QPSK,SDPSK,QASK,64QAM and GMSK is 91.4% under the condition of -4 dB SNR.…”
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Synergistic Optimization Method for URT Network Train Connection Scheme in Peak and Off-Peak Periods by Ruihua Xu, Xuyang Song, Feng Zhou, Fangsheng Wang

“…The calculation example demonstrated the effectiveness of the model and algorithm, which can guide the coordinated preparation of a network train connection plan.…”
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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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High-Speed Data-Driven Methodology for Real-Time Traffic Flow Predictions: Practical Applications of ITS by Hyun-ho Chang, Byoung-jo Yoon

“…This result suggests that the proposed algorithm can be also effectively employed as a preprocess to select useful past cases for advanced learning-based forecasting models.…”
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Assessment of Waterlogging Risk in the Deep Foundation Pit Projects Based on Projection Pursuit Model by Han Wu, Junwu Wang

“…This study puts forward a method for the waterlogging risk assessment of deep foundation pit projects via the combination of a projection pursuit model, particle swarm optimization, and an interpolation algorithm. First, through a comprehensive analysis of the water circulation process in waterlogging and the characteristics of deep foundation pit projects, a risk index system with 11 indicators is identified and constructed. …”
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Analyzing the customer purchase data of an online shopping store by data mining: A real case study in Iran by Nima Moradi, Mosayeb Jalilian

“…The results show that before balancing the dataset, the KNN algorithm with K=5 is the best classification method among the existing methods. …”
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Adaptive sensing scheme using naive Bayes classification for environment monitoring with drone by Yao-Hua Ho, Yu-Te Huang, Hao-Hua Chu, Ling-Jyh Chen

“…In this article, we extend the adaptive return-to-home sensing algorithm with a parameter-tuning algorithm that combines naive Bayes classification and binary search to adapt adaptive return-to-home sensing parameters effectively on the fly. …”
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A novel machine learning model for perimeter intrusion detection using intrusion image dataset. by Shahneela Pitafi, Toni Anwar, I Dewa Made Widia, Zubair Sharif, Boonsit Yimwadsana

“…When handling high-dimensional data, the existing Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm faces efficiency issues due to its complexity and varying densities. …”
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Implementation of Doodle Jump Game Based on Accelerometer Sensor and Kalman Filter by Edghar Danuwijaya, Yohanes Armenian Putra, Hilal Hudan Nuha, Ikke Dian Oktaviani

“…The method used to use this filter is the Kalman Filter algorithm. The use of the Kalman Filter method can provide a stable level of accuracy in the movements of the main characters in the game and the accelerometer sensor so that it can become a precise algorithm. …”
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Efficient resource allocation with context-awareness for parked car road side unit-based Internet of vehicles by Peng QIN, Haoting HE, Xiongwen ZHAO, Yang FU, Yu ZHANG, Miao WANG, Shuo WANG, Xue WU

“…In order to reduce the number of road side unit (RSU) and meet the needs of mobile vehicle users for processing latency-sensitive and computation-intensive tasks, a context-aware resource allocation algorithm was proposed based on parked cars.Road side parked vehicles were selected to serve the vehicle users instead of RSU using parking time as a factor for determining whether a parked vehicle could become a parked car roadside unit (PCRSU).In order to further reduce the system response time, a mechanism was designed considering content caching and distribution.In respect to user content caching, PCRSU made personalized content recommendation for vehicle users with awareness by using two elements of user historical search data and point of interest (PoI) area type.In respect to content distribution, PCRSU allocated bandwidth efficiently by sensing the data transmission needs of vehicle users.Extensive experiments show that compared with the existing benchmark methods, the proposed algorithm can select PCRSU more reasonably, effectively reduce the demand response delay, improve the stability of the network while ensuring network coverage, and provide more accurate service content for vehicle users.…”
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Web-of-Objects Based User-Centric Semantic Service Composition Methodology in the Internet of Things by Safina Showkat Ara, Zia Ush Shamszaman, Ilyoung Chong

“…In the proposed semantic based service composition approach, virtual object and composite virtual object are the key entity; this class of objects allows composing services from heterogeneous objects by following a service composition algorithm. This algorithm creates composite service along with the semantic description of that service. …”
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Animated mesh simplification based on motion features in visual sensor networks by Hongjie Yang, Fan Zhou, Ge Lin, Mouguang Lin, Shujin Lin

“…As three-dimensional animated mesh is time-varying in all frames, the trade-off between the temporal coherence and geometric distortion must be considered to develop simplification algorithm. In this article, a novel three-dimensional animated mesh simplification algorithm based on motion features is presented. …”
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Topology prediction for opportunistic network based on spatiotemporal convolution by Jian SHU, Jiawei SHI, Linlan LIU, Al-Kali Manar

“…The high dynamics of opportunistic network topology leads to the challenges of topology prediction.The existing research mainly focuses on the long-term spatiotemporal dependence of networks, ignoring the short-term spatiotemporal features.A topology prediction method for opportunistic network based on dynamic time warping algorithm and spatiotemporal convolution (DTW-STC) was proposed, which integrated long-short term spatiotemporal dependence in opportunistic network.The time slot was determined based on dynamic time warping algorithm, so that the opportunistic network was sliced into snapshots which topology was presented by link state matrix.Temporal convolution was employed to extract short-term temporal features.The spatiotemporal graph, representing the short-term spatiotemporal relationship, was constructed by temporal features and network changes.The short-term spatiotemporal features were captured by graph convolution.After stacks of spatiotemporal convolution, the long-short term spatiotemporal features of network were achieved.Based on the autoencoder structure, vector space transformation was realized, so that the future network topology was predicted.The results on three real opportunistic network datasets, ITC, MIT, and Asturias-er, show that the proposed DTW-STC has better prediction performance than ones of other baseline methods.…”
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Resource Allocation of Multi-Satellite Beam Hopping Technology Based on System Capacity Maximization by Qing SHU, Xiaoning ZHANG, Zesong FEI

“…Unlike medium and high earth orbit satellites, LEO satellites have the characteristics of small path loss, low propagation delay and high deployment fl exibility.LEO satellites are widely used in real time services, global internet of things, emergency communication and other fi elds.In order to solved the problems of large diff erences in service demand distribution of terrestrial users and low resource utilization in LEO satellite communication systems, a resource allocation algorithm of LEO multi-satellite beam hopping technology based on convex optimization was proposed, which aimed to maximized the system capacity.For multisatellite beam hopping scenarios in LEO satellite communication system, the beam-hopping technology could fl exibly allocated system resources accorded to user needs.Considered the factor of co-channel interference, the service region division scheme based on load balancing and the inter-satellite resource allocation priority scheme was proposed.In order to improved system capacity and resource utilization, it jointly designed a time and power resource allocation algorithm based on convex optimization.The simulation results showed that the proposed scheme could eff ectively reduced co-channel interference and realized the ondemand allocation of system capacity without causing waste of resources.…”
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Estimating the Concrete Compressive Strength Using Hard Clustering and Fuzzy Clustering Based Regression Techniques by Naresh Kumar Nagwani, Shirish V. Deo

“…It is found from experiments that clustering along with regression techniques gives minimum errors for predicting compressive strength of concrete; also fuzzy clustering algorithm C-means performs better than K-means algorithm.…”
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Quantitative Nondestructive Testing of Wire Ropes Based on Features Fusion of Magnetic Image and Infrared Image by Shiliang Lu, Juwei Zhang

“…The fusion feature is input into the nearest neighbor (NN) algorithm for quantitative identification, and the same data are input into the backpropagation (BP) neural network for comparison verification. …”
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Subpixel Mapping Method of Hyperspectral Images Based on Modified Binary Quantum Particle Swarm Optimization by Shuhan Chen, Xiaorun Li, Liaoying Zhao

“…Existing methods based on linear optimization encounter the premature and local convergence of the optimization algorithm. This paper proposes a subpixel mapping method based on modified binary quantum particle swarm optimization (MBQPSO) to solve the above issues. …”
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Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven Vehicles by Zhaoming Zhou, Jianbo Yuan, Shengmin Zhou, Qiong Long, Jianrong Cai, Lei Zhang

“…Meanwhile, the mixed equilibrium flow state is explored under the premise of given market penetration to verify the feasibility of the model and algorithm.…”
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Determining The Ripeness Level Of Crystal Guava Fruit Using Backpropagation Neural Network by Shofia Nabila Azzahra, Ahmad Kamsyakawuni, Abduh Riski

“…This research uses the HSI colour space as an interpretation of fruit image characteristics and uses the Backpropagation algorithm to perform classification. This study utilizes image data of crystal guava fruit, categorizing them into four stages of ripeness: unripe, half-ripe, ripe, and very ripe. …”
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Fusion-Learning-Based Optimization: A Modified Metaheuristic Method for Lightweight High-Performance Concrete Design by Ghodrat Rahchamani, Seyed Mojtaba Movahedifar, Amin Honarbakhsh

“…We also collected a standard dataset to analyze the proposed algorithm, and subsequently, the dataset was designed from concrete laboratory tests on 244 samples, seven features, and three outputs. …”
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