An Application of Non-additive Measures and Corresponding Integrals in Tourism Management by Sabri et al.

“…This paper presents a mathematical model for discussing an application of non-additive measures and corresponding integrals in tourism management. First, the problem of tourism management is described for one of the tourism companies in Iraq. …”
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Influence maximization algorithm of social networks based on Transformer model by YU Shuke, YAO Yao, YAN Chenxue

“…Finally, the Transformer model was improved, in order to support scalable node feature sequences, and the improved Transformer model was taken advantage to predict the seed nodes of the social network. …”
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STRATEGI BISNIS PENGUSAHA BAKSO DALAM MENGHADAPI KENAIKAN HARGA DAGING SAPI (STUDI KASUS BAKSO PEPO) by Monica Marcella

“…As a processed beef manufacturer, the annual rise in beef price is a problem for Bakso Pepo. As a result, the company needs to devise a strategy to cope with the challenge. …”
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EVERYDAY FEARS OF THE ORTHODOX POPULATION ON UKRAINIAN LANDS AS A REFLECTION OF DAILY ROUTINE IN EARLY MODERN TIMES by Інна ГОНЧАРЕНКО

“… The article highlights a little-studied problem of role of fears in the everyday life of Orthodox believers in the Ukrainian lands of the second half of the 16th – 17th centuries. …”
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Improved M-ORB based direct-loop closure detection algorithm for visual SLAM by Wei LI, Menghan REN, Weihao HUANG, Xiaoyu DU, Yi ZHOU

“…Most kinds of direct methods do not extract image feature points in the front end of SLAM system, resulting in that they cannot use loop closure detection with bag-of-words models to eliminate the cumulative error of the system.To resolve this problem, an improved mature-oriented fast and rotated BRIEF (M-ORB) based direct-loop closure detection algorithm for visual SLAM was proposed, which designed an improved M-ORB, generated the bag of words model required for loop closure detection, and then used the term frequency-inverse document frequency (TF-IDF) algorithm to adaptively assign weights to the visual words in each sub-node of the dictionary tree.Finally, an accurate representation of the scene information was obtained.In the end, the proposed algorithm and conducted comparative experiments were verified though two public data sets TUM and KITTI.The experimental results show that the algorithm proposed in this paper can effectively detect the loop closure, and has better real-time and robustness performance without reducing the accuracy.…”
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Transformer network for time series prediction via wavelet packet decomposition by Zhichao Wu, Aiye Shi, Yan Ping Tao

“…Toaddress this problem, we proposed the WPFormer model, which incorporatedtime-frequency analysis into the Transformer architecture to increase thelong-term series prediction accuracy. …”
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Local Entropy-Based Coupled Anisotropic Diffusion for Detail-And Edge-Preserving Smoothing by De Zhao, Lan Chen

“…It is important in image restoration to remove noise while preserving sharp edges and fine details such as blurred thin edges and low-contrast fine feature. The Perona–Malik (P-M) model is a well-known anisotropic diffusion denoising model, which can effectively remove noise while preserving edges. …”
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User alignment across social networks by Shen Jiaqi, Zhou Guomin

“…For the problem of identifying the same user across social networks, a recognition method that integrates user interests, writing style and profile attributes is proposed. …”
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A Distributed Collision-Free Data Aggregation Scheme for wireless sensor network by Danyang Qin, Yan Zhang, Jingya Ma, Ping Ji, Pan Feng

“…The non-exchangeable feature of the battery of sensor nodes makes the researches on the battery power saving and lifetime extension be carried out extensively. …”
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Gearbox Fault Diagnosis based on Improved LMD and BP Neural Network by Lei He, Suqi Liu, Ting Jiang, Zhijie Huang

“…Aiming at the problem of the poor working environment and the fault mode is difficult to identify of the gearbox of military armored vehicles， based on the existing methods， the noise assisted analysis， LMD and BP neural network are combined to apply to the fault diagnosis of armored vehicle gearbox. …”
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ALTERNATIVE FOOD NETWORKS E CITTÀ IN ITALIA by Filippo Randelli, Benedetto Rocchi, Stefania Giampaolo

“…In order to go beyond this problem this paper considers AFNs as an innovation emerging in our agri-food systems. …”
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Predicting the bounds of large chaotic systems using low-dimensional manifolds. by Asger M Haugaard

“…Thus, solving for one post-transient forcing cycle of the bounding manifold predicts the extrema of the underlying chaotic problem indefinitely.…”
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Training of Higher Educational Institution’s Students for Performing Engineering Designs by Nataliia Byshevets

“…The technique of instructing students to make engineering designs using information technologies on examples of the subject “Numerical methods” and “Solution of the system of linear equations using Gaussian elimination with selecting the pivot element” was offered. The specific feature of this technique is combination of traditional and innovative educational methods and techniques. …”
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Measurement-induced phase transitions in monitored infinite-range interacting systems by Anna Delmonte, Zejian Li, Gianluca Passarelli, Eric Yilun Song, Diego Barberena, Ana Maria Rey, Rosario Fazio

“…This paper answers whether this feature is inherent in infinite-range systems, due to their underlying semiclassical dynamics. …”
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Encoding Disappearing Characters: The Case of Twentieth-Century Japanese-Canadian Names by Stewart Arneil

“…The Landscapes of Injustice project seeks to encode mid-twentieth-century documents by and about the Japanese-Canadian community so they are accessible to modern audiences. The fundamental problem is that some of the kanji used at that time have been replaced since then by different kanji, and others have been removed from lists of formally acceptable characters. …”
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Research and implementation of intelligent terminal lightweight face recognition system by Guo-jun MA, Hai-dong ZHOU

“…In order to solve this problem that traditional face recognition scheme was not efficiently suitable to intelligent terminal scene.An improved lightweight scheme of feature weighted clustering matching based on SIFT was presented.The scheme can learn automatically and adaptively add test samples to the training sample space.Reasonable division and scientific distribution of weight make this scheme has improved at run time and recognition rate.The improved algorithm has been tested in the ORL face database and Yale face database,compared with the classical SIFT algorithm the recognition rate improved by 6.13% and 14.11%,the running efficiency increased 9.1% and 4.7%.At the same time,in accordance with the test method by Zhou,in the ORL face database,the recognition rate was up to 74.05%,significantly improved than PCA,LBP and other classical algorithm.The algorithm in Android terminal is implemented,and the improved algorithm is verified to be available in the Android system by experiments.Finally,an improved scheme was proposed based on the cloud architecture.…”
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Research of the Fractal Extrapolation of Transmission System Load Signal of Tracked Vehicle by Wang Yanzhong, Chen Yanyan, Zhou Guangming, Jia Shuang, Lv Qingjun, Zhang Zuzhi

“…Aiming at the problem of load test data volume of transmission system of heavy tracked vehicles（HTVs） is huge and extraction rate of effective information is low,the inherent fractal hierarchical rule of this data is studied,this data have the typical fractal characteristic is verified and the fractal parameter of the tracked vehicle transmission system load data under a certain road condition.Under the premise of ensurse data accuracy and fractal character,a new fractal interpolation method（FIM） is built,the continuation to simplify data information is realized.Moreover,obvious advantages could be observed in the results of the FIM,comparing to those of the linear interpolation method and the spline interpolation method.It could be concluded that by combining a’low-frequency-and-long- time’ sampling approach and the proposed FIM,the test efficiency of load history can be improved,the complex chaotic feature of high frequency sampling data can be represented.And a analysis way for researching the dynamic chaos characteristic of the HTVs transmission system is provided.…”
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Semi-Supervised Clustering via Constraints Self-Learning by Xin Sun

“…To address this challenge, this paper attempts to solve the semi-supervised clustering problem by self-learning sufficient constraints. The essential motivation is that constraints can be learned from the local neighbor structures within appropriate feature spaces, and sufficient constraints can directly divide the data into clusters. …”
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The Prospects of Radical Change Today by Slavoj Žižek

“…These are times that feature multiple crises, right-wing populism à la Donald Trump and Marine Le Pen, the lower classes’ opposition to immigration, and the refugee crisis. …”
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Fingerprint localization algorithm based on linear spatial dependence of WLAN RSS by Xiaoliang XU, Jian GAO, He HUANG, Zhe MA

“…Due to RSS time-varying and difference of signal receiving ability of different terminals,the performance of RSS-based technologies is usually instability.In order to solve such problem, a novel fingerprint localization algorithm based on linear spatial dependence of RSS was proposed.Multiple sets of RSS samples were collected at each reference point to form a feature matrix and an offline location fingerprint database was conducted.When the real-time RSS matrix was used to calculate the correlation between the real-time RSS matrix and the reference point of the fingerprint library, the k-reference points were obtained, and the final position of the user was calculated by the quadratic weighted centroid algorithm.In order to effectively reduce the influence of signal time-varying,the sampling and sorting process were carried out, and the number of sampling times increased as much as possible when constructing the offline fingerprint database,but the samples needed to be aggregated to fit the positioning correlation calculation.Experiment results show that the proposed algorithm can guarantee the high positioning accuracy and also achieve the better stability for different terminal.…”
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