Summary on Several Key Techniques in 3D Geological Modeling by Gang Mei

“…In this paper, the most commonly used algorithms of the key techniques in 3D geological modeling are summarized.…”
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Nowcasting of China’s industrial added value based on electric power big data by Fang PENG, Gaoqun PENG, Yaru QI, Tiantian LIU, Xiaolei ZHOU

“…Industrial added value is an important indicator to measure the operation of the real economy.In order to fully mine the value of power data in the current macroeconomic nowcasting, so as to serve the government policy making, the Bagging and Boosting algorithms in machine learning were applied to nowcast industrial added value based on electric power data as well as traditional statistical data.Firstly, traditional statistical data can significantly improve the forecasting effect of the ARIMA model.Secondly, the nowcasting ability of electric power data depends on the selection of electric power indicators, and the proper electric power index is helpful to predict industrial added value more timely and accurately.Thirdly, the prediction ability of electric power data to the industrial added value in the current period may be lower than that in the future, which means the power data is more likely to be used to predict ahead of time.…”
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Survey on the search of Internet of Things by Yun-quan GAO, Xiao-yong LI, Bin-xing FANG

“…With the popularization and development of the Internet of Things,the search of Internet of Things urgently needs to be solved in academia and industry and becomes a hot research topic.With the increasing data generated by sensors,only the search of IoT makes this data valuable.However,different from the traditional Internet search engines (such as Baidu,Google,Bing,Yahoo,etc),the search of IoT has different search objects and search architecture and data in the Internet of Things are massive,real-time,highly dynamic,heterogeneous,highly insecure.The above characteristics make search of IoT face more challenges.Firstly,the concept,characteristics,related technologies of search of IoT were summarized and presented.Secondly,several typical systems and related algorithms were described in detail.Finally,the current problems,the challenges and research prospects of this field for future were presented…”
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Modelling Decision-Making Processes in the Management Support of the Manufacturing Element in the Logistic Supply Chain by Robert Bucki, Petr Suchánek

“…The fact that the same manufacturing procedure can be carried out in various locations is emphasised. Control algorithms as well as manufacturing strategies are explained. …”
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Forward first: Joystick interactions of toddlers during digital play. by Kimberly A Ingraham, Heather A Feldner, Katherine M Steele

“…These findings inform the design of assistive algorithms for joystick-enabled computer play and developmentally appropriate technologies for toddlers.…”
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Survey on Research Progress of Load Balancing in LTE-Advanced Heterogeneous Network by Juanxiong Xu, Yisha Liu, Lun Tang, Qianbin Chen

“…Following that, a comprehensive taxonomic approach to classifying algorithms of load balancing was proposed, based on which detailed analyses and thorough comparisons for the main strategies in recent years were made; and several schemes to reduce signaling overhead were compared and analyzed in the load balancing process. …”
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An Intelligent Optimization Strategy Based on Deep Reinforcement Learning for Step Counting by Zhoubao Sun, Pengfei Chen, Xiaodong Zhang

“…To solve the problems that the existing algorithms use threshold to filter noise, and the parameters cannot be updated in time, an intelligent optimization strategy based on deep reinforcement learning is proposed. …”
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Our Interplanetary Bodies by Marie Siguier

“…The vast recreation of a cosmic landscape, the work appears like a hybrid and artificial phenomenon combining organic elements (dust, meteorite seeds, arachnids, spider webs) and new technologies (screens, bioacoustic devices, algorithms). While the sublime Burkean modernist was an illusionist and attempted to distance the observer from a terrifying nature to have him feel terror, elevation or rapture, the installation encompasses the individual and sends him back to his own physical and cognitive experience, as well as to an renewed experience of space and senses through immersion in a “cosmos programme” that nevertheless produces a feeling of elevation faced with what Lyotard called “the unpresentable”: the absolutely great, the absolutely powerful.…”
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Application study of Costas arrays in multiuser radar systems by YAO Jian-guo1, HUANG Qing2

“…The construction and performance of frequency hopping codes were discussed but the emphasis was laid on the construction of Costas arrays.The frequency hopping codes called Costas arrays could be designed to have almost ideal auto-ambiguity and good cross-ambiguity.A mathematical model was established for frequency hop coded waveforms and the conditions for orthogonal sub-pulse were given.The auto-and cross-correlation properties of Costas arrays were illuminated,the practical properties of cross-correlation function of permutation matrices were revealed,the algorithms for computing ambiguity function were presented and the simulation results were demonstrated.After a study of the cross-ambiguity properties of Costas arrays the ways were suggested to reduce interference in a multiuser radar system.…”
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Liouville Theorem for Some Elliptic Equations with Weights and Finite Morse Indices by Qiongli Wu, Liangcai Gan, Qingfeng Fan

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Optimization of fatigue life of the seismic vibrator baseplate considering the coupling effect of welding residual stress by Zhen Chen, Qiaomu Wang, Shulong Nie, Shuang Jing, Bo Kong, Nan Luan

“…A multi-objective fatigue life optimization analysis was performed using genetic algorithms. The results shows that the backing weld (BW) of the SVB is the most susceptible area to fatigue failure. …”
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Western disturbances and climate variability: a review of recent developments by K. M. R. Hunt, K. M. R. Hunt, J.-P. Baudouin, A. G. Turner, A. G. Turner, A. P. Dimri, A. P. Dimri, G. Jeelani, Pooja, R. Chattopadhyay, R. Chattopadhyay, F. Cannon, T. Arulalan, T. Arulalan, M. S. Shekhar, T. P. Sabin, E. Palazzi

“…Use of new modelling frameworks and tracking algorithms has significantly improved knowledge of WD structure and variability, and a more frequentist approach can now be taken. …”
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State Estimation in Power Systems Under False Data Injection Attack Using Total Least Squares by Bamrung Tausiesakul, Krissada Asavaskulkiet, Chuttchaval Jeraputra, Ittiphong Leevongwat, Thamvarit Singhavilai, Supun Tiptipakorn

“…To demonstrate the usability of the proposed algorithms and to illustrate their performance, numerical simulation is conducted taking into account two IEEE power system standards, such as IEEE 9-bus and 14-bus models. …”
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Image depth estimation assisted by multi-view projection by Liman Liu, Jinshan Tian, Guansheng Luo, Siyuan Xu, Chen Zhang, Huaifei Hu, Wenbing Tao

“…Abstract In recent years, deep learning has significantly advanced the development of image depth estimation algorithms. The depth estimation network with single-view input can only extract features from a single 2D image, often neglecting the information contained in neighboring views, resulting in learned features that lack real geometrical information in the 3D world and stricter constraints on the 3D structure, leading to limitations in the performance of image depth estimation. …”
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Generation of Variations on Theme Music Based on Impressions of Story Scenes Considering Human's Feeling of Music and Stories by Kenkichi Ishizuka, Takehisa Onisawa

“…The present system varies melodies, tempos, tones, tonalities, and accompaniments of given theme music based on impressions of story scenes. Genetic algorithms (GAs) using modular neural network (MNN) models as fitness functions are applied to music generation in order to reflect user's feeling of music and stories. …”
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Beyond personas. Machine Learning to personalise the project by Niccolò Casiddu, Francesco Burlando, Isabella Nevoso, Claudia Porfirione, Annapaola Vacanti

“…The core value of this approach is the ability to adapt, based on algorithms capable of matching the product to the activity of each user. …”
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The Performance of LBP and NSVC Combination Applied to Face Classification by Mohammed Ngadi, Aouatif Amine, Bouchra Nassih, Hanaa Hachimi, Adnane El-Attar

“…These works are interested since their beginning in extracting the invariant features of the face to build a single model easily identifiable by classification algorithms. Our goal in this article is to develop more efficient practical methods for face detection. …”
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Evaluating Item Content and Scale Characteristics Using a Pretrained Neural Network Model by Jeffrey Stanton, Angela Ramnarine-Rieks, Yisi Sang

“…NLP comprises a set of algorithmic techniques for analysing words, phrases, and larger units of written language. …”
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Whitening of Background Brain Activity via Parametric Modeling by Nidal Kamel, Andrews Samraj, Arash Mousavi

“…The whitening effect of the two algorithms is investigated with real background electroencephalogram (EEG) colored noise and compared in time and frequency domains.…”
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The other geopolitics of AI by Carme Colomina Saló, Marta Galceran-Vercher

“…It analyses the spaces, actors and concerns currently overlooked in the dominant discourses on the geopolitics of AI, perspectives that are essential to understand how algorithmic systems are going to develop in the coming years.…”
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