Models, systems, networks in economics, engineering, nature and society by D.V. Mirosh

“…The materials of this article present the technology of using convolutional neural networks for the diagnosis of inter-turn circuits in three-phase asynchronous motors with a short-circuited rotor, based on the use of a graphical representation of the relations of energy characteristics. …”

Estimation of Congestion in Free Disposal Hull Models Using Data Envelopment Analysis by M. Abbasi, G. R. Jahanshahloo, M. Rostamy-Malkhlifeh, F. Hosseinzadeh Lotfi

“…However, almost all of these approaches considered convex DEA technologies. So, in the case of nonconvex technologies, including FDH technology, this field is almost nil. …”
Get full text

Interpretation of Disruptive Innovation in the Era of Smart Cities of the Fourth Industrial Revolution by Gábor Nick, Ferenc Pongrácz, Edit Radács

“…The exponential development of information technology and, in this context, the latest generation of open innovation systems result in revolutionary changes in almost every industry as well as in other areas of life. …”
Get full text

Analysis of Dynamic Performance of Magnetic Field Modulated Gear by Liu Meijun, Bao Guangqing, Hou Chenchen, Zuo Zhengpu, Liu Mingmin

“…The magnetic field modulated gear is a new technology,compared with the traditional mechanical gear,it can effectively avoid vibration,noise,lubrication and other issues. …”
Get full text

Carbon Nanotube Areas - Printed on Textile and Paper Substrates by Arved C. Hubler, Lothar Kroll, Holg Elsner, Nora Wetzold, Thomas Fischer

“…Mass printing processes are the key technology to produce mass products to the point of one-disposable. …”
Get full text

Can the Presence of Endoscopic High-Risk Stigmata be Bredicted before Endoscopy? A Multivariable Analysis Using the RUGBE Database by Yen-I Chen, Jonathan Wyse, Alan Barkun, Marc Bardou, Ian M Gralnek, Myriam Martel

Get full text

DEVELOPMENT OF SMART CITIES IN CROATIA by Ljubica Milanović Glavan, Nikolina Filić

“…Smart cities are not just a global trend, it is not some modern technological revolution that everyone dreams of, in fact, smart cities are a necessity and must be implemented as soon as possible. …”
Get full text

Optimal Sixteenth Order Convergent Method Based on Quasi-Hermite Interpolation for Computing Roots by Fiza Zafar, Nawab Hussain, Zirwah Fatimah, Athar Kharal

Get full text

Experimental and Numerical Investigations on Deformation of Cylindrical Shell Panels to Underwater Explosion by K. Ramajeyathilagam, C.P. Vendhan, V. Bhujanga Rao

Get full text

Internal and External Heat Balance Characteristic of Helicopter Intermediate Reducer Casing based on CFD by Wenbin Pan, Wenchang Ge, Chunlei Wang, Yongsheng Ai

“…Taking an intermediate reducer as the research object， the thermal-fluid coupling calculation model is established， and the boundary conditions of the external flow field of the intermediate reducer is set by using Fluent simulation technology， internal and external heat balance of the intermediate reducer are analyzed. …”
Get full text

Schmidt modes carrying orbital angular momentum generated by cascaded systems pumped with Laguerre–Gaussian beams by D. Scharwald, L. Gehse, P. R. Sharapova

“…Orbital angular momentum (OAM) modes are an important resource used in various branches of quantum science and technology due to their unique helical structure and countably infinite basis. …”
Get full text

Multi-dimensional time series anomaly detection method based on VAE-WGAN by Xueyuan DUAN, Yu FU, Kun WANG

“…As the deficiency of learning ability of traditional semi-supervised depth anomaly detection model to unbalanced multidimensional data distribution and the difficulty of model training, a multi-dimensional time series anomaly detection method based on VAE-WGAN architecture was proposed.VAE was used as a generator of WGAN.The Wasserstein distance was used as a measure between the model fitting distribution and the real distribution of the data to be measured, complex and high-dimensional data distributions could be learned.A sliding window was applied to divide the time series, the normal sequence data were used to train the model.According to the abnormal score of the waiting test sequence in the trained model, the anomaly was judged with adaptive threshold technology.The experimental results show that the model is easy to train and stable, and has obvious improvement over the existing generative anomaly detection model in accuracy, recall rate, F1 score and other anomaly detection performance indicators.…”
Get full text

Human Pose Estimation: Single-Person and Multi-Person Approaches by Tang Wan

“…With the advancement of technology, this task has demonstrated significant potential in various application areas such as motion capture, behavior analysis and augmented reality. …”
Get full text

Tectonic perspectives for urban ambiance? Towards a tectonic approach to urban design by Elias Melvin Christiansen, Lea Holst Laursen, Marie Frier Hvejsel

“…By recalling the etymological meaning of tectonics as a contextual joining of aesthetics and technology at the architectural scale, the paper states that this can be understood as a tectonic challenge which crosses the architectural and urban domains. …”
Get full text

Guidance Law and Neural Control for Hypersonic Missile to Track Targets by Wenxing Fu, Binbin Yan, Xiaofei Chang, Jie Yan

“…Hypersonic technology plays an important role in prompt global strike. …”
Get full text

Analysis of the growth kinetics of Fe2B layers by the integral method by Keddam M., Kulka M.

Get full text

A thin, wideband transmissive cross polarization converter by Negin Pouyanfar, Javad Nourinia, Changiz Ghobadi, Vahid Nayyeri

Get full text

Positive Solutions for Second-Order Singular Semipositone Differential Equations Involving Stieltjes Integral Conditions by Jiqiang Jiang, Lishan Liu, Yonghong Wu

Get full text

PCA-based membership inference attack for machine learning models by Changgen PENG, Ting GAO, Huilan LIU, Hongfa DING

“…Aiming at the problem of restricted access failure in current black box membership inference attacks, a PCA-based membership inference attack was proposed.Firstly, in order to solve the restricted access problem of black box membership inference attacks, a fast decision membership inference attack named fast-attack was proposed.Based on the perturbation samples obtained by the distance symbol gradient, the perturbation difficulty was mapped to the distance category for membership inference.Secondly, in view of the low mobility problem of fast-attack, a PCA-based membership inference attack was proposed.Combining the algorithmic ideas based on the perturbation category in the fast-attack and the PCA technology to suppress the low-migration behavior caused by excessive reliance on the model.Finally, experiments show that fast-attack reduces the access cost while ensuring the accuracy of the attack.PCA-based attack is superior to the baseline attack under the unsupervised setting, and the migration rate of model is increased by 10% compared to fast-attack.…”
Get full text

Dampak Game Online Mobile Legends: Bang Bang terhadap Mahasiswa by Devita Rani, Effiati Juliana Hasibuan, Rehia K. Isabela Barus

“…Mobile   Legends   Online   Games:   Bang   Bang   is   one   manifestation   of   technological development in new media. The purpose of this study was to find out how the positive and negative impact of playing Mobile Legends: Bang Bang online games to FISIP UMA students who play games. …”
Get full text