THEORETICAL ANALYSIS OF DEPRECIATION IN MUNICIPALITIES (GNOSIOLOGY, ONTOLOGY AND EPISTEMOLOGY) by D. Velikov

“…The aim of the publication is to analyze depreciation in municipalities and to propose a synthesis of properties and a summary of common features, trends and laws. The ontological nature of depreciation in accounting science presents the main problems solved by accounting for depreciation. …”
Get full text

MODERN ARCHITECTURE BOARD INFORMATION AND CONTROL SYSTEMS OF HEAVY VEHICLES by A. Z. Asanov

“…The paper deals with the problems of information and control systems design for robotic heavy trucks control. …”
Get full text

THE MATTER OF DISABILITY IN THE LIGHT OF ENLIGHTENMENT IDEAS IN EUROPE OF 17–18 CENTURIES by Nazar Malaniy

“…The dominant core is the systematization of the achievements of the Enlightenment about the problems of people with visual, hearing and speech impairments. …”
Get full text

Risk assessment of autonomous vehicle based on six-dimensional semantic space by Yanan CHEN, Ang LI, Dan WU

“…To address the problems of inadequate extraction of risk elements and low robustness of risk scenario assessment in autonomous vehicles, a risk assessment framework based on six-dimensional semantic space was proposed, which included risk element extraction based on six-dimensional semantic space and risk scenario assessment based on knowledge graph.Formerly, the semantic space was constructed with RGB and IR data mapped, and rich features were extracted using inter-modal correlations for explicit and potential risk elements.Subsequently, risk elements were distilled into a knowledge graph by semantic role annotation and entity fusion, and an inference method was designed by combining node completion and risk level function for accurate risk assessment.Simulations show that the proposed method surpasses current MSMatch and iSQRT-COV-Net in accuracy, false/missed alarm rate, and processing time.…”
Get full text

Flight delay stacking ensemble prediction model for severe weather by SUN Yue, DING Jianli

“…Combining flight data and weather data features, multiple heterogeneous classifiers such as LightGBM and XGBoost were used as base learners, and SVM was used as the primary learner. …”
Get full text

Intellectual Property Management: European Universities Experience by A. Yu. Kalinin, Yu. V. Nechepurenko

Get full text

Relation extraction based on CNN and Bi-LSTM by Xiaobin ZHANG, Fucai CHEN, Ruiyang HUANG

“…Relation extraction aims to identify the entities in the Web text and extract the implicit relationships between entities in the text.Studies have shown that deep neural networks are feasible for relation extraction tasks and are superior to traditional methods.Most of the current relation extraction methods apply convolutional neural network (CNN) and long short-term memory neural network (LSTM) methods.However,CNN just considers the correlation between consecutive words and ignores the correlation between discontinuous words.On the other side,although LSTM takes correlation between long-distance words into account,the extraction features are not sufficiently extracted.In order to solve these problems,a relation extraction method that combining CNN and LSTM was proposed.three methods were used to carry out the experiments,and confirmed the effectiveness of these methods,which had some improvement in F1 score.…”
Get full text

A Comparison of Updating Frequency Between Web of Science and Current Contents Connect by Nancy J. Butkovich, Helen F. Smith, Claire E. Hoffman

“…Each database has unique features. Web of Science has superior title coverage, while Current Contents Connect updates faster about 25% of the time. …”
Get full text

Application of Complex Fuzzy Relational Compositions to Medical Diagnosis by Muhammad Gulzar, Samina Ashraf, Etienne E. Kerre

“…The capability of complex fuzzy sets plays a valuable role in resolving many real-life problems. In this paper, we present the compositions of complex fuzzy relations by using the idea of implication operators and max-product compositions of complex fuzzy relations and illustrate these compositions with concrete examples. …”
Get full text

QUALITY OF LIFE IN PATIENTS WITH BACK PAIN by N. E. Komleva, V. F. Spirin

“…Back pain is an actual problem of modern medicine. In 82-95 % of cases back pain is caused by dorsopathies. …”
Get full text

Ordering Acyclic Connected Structures of Trees Having Greatest Degree-Based Invariants by S. Kanwal, M.K. Siddiqui, E. Bonyah, T. S. Shaikh, I. Irshad, S. Khalid

“…Since many techniques depending in vertex similarity and edge features were put forward to rule out many well-known link prediction challenges, many problems are still there just because of unique formulation characteristics of sparse networks. …”
Get full text

Roberts-SC syndrome, a rare syndrome and cleft palate repair by Murthy Jyotsna, Dewan Madhu, Hussain Altaf

“…Our patient, a young child of five years having Roberts-SC, was successfully operated for cleft palate under general anesthesia. The main features of the syndrome and the technical problems of anesthesia and surgery are discussed in this report…”
Get full text

Financial and Investment Ensuring Innovation Activities of the Oil and Gas Industry in Russia by D. N. Semkova

“…The problem of the implementation of PPP, which is imperfect state mechanisms that allow investors to guarantee the invested funds, and also revealed the problem of venture capital insufficient financing in the oil and gas industry, due to the need to develop and exploit hard-to-recover oil reserves, which involves large-scale investment. …”
Get full text

Inter-domain routing security mechanism for crossing autonomous system alliance by Ling-jing KONG, Hua-xin ZENG, Jun DOU, Yao LI

“…Through studying and analyzing SE-BGP (security enhanced BGP),it was found that it couldn’t validate the cross-alliance AS (autonomous system) and defense the self-launched active attack.To solve the security problems,two-layer cross-alliance hierarchical structure CAHS (cross-alliance hierarchical structure) was designed.Based on CAHS,using the idea of passport visa and the features of AdHASH (additive hash),a cross-alliance BGP security mechanism SCA-BGP (secure crossing alliance for BGP) was proposed.The mechanism has higher security,which is able to effectively validate the identities and behavior authorization of the cross-alliance AS as well as the message carried by them.The experiment results show that SCA-BGP can effectively reduce the certificate scale and extra time overhead to get better scalability and convergence performance.…”
Get full text

Asperger's disorder and Williams syndrome: a case report by Ayse Kilinçaslan, Canan Tanidir, Mustafa Deniz Tutkunkardaş, Nahit Motavalli Mukaddes

“…The presence of autistic features in individuals with WS is a controversial issue. …”
Get full text

Container traffic: East African case by V. S. Golubeva, N. V. Shcherbinin

“…The article reveals the historical features of foreign trade and its transport support in the East African region. …”
Get full text

OBJECT TRACKING VIA COMPARISON OF COLOR HISTOGRAMS by B. A. Zalesky, E. N. Seredin, M. V. Yadlouski

Get full text

Комунікативні стратегії учасників літературних інтернет-конкурсів: особливості мовленнєвої поведінки у віртуальному дискурсі... by Natalia Kondratenko

“…The study deals with the problems of linguopragmatic description of virtual discourse. …”
Get full text

Fusion of auto encoders and multi-modal data based video recommendation method by Qiuyang GU, Chunhua JU, Gongxing WU

“…Nowadays, the commonly used linear structure video recommendation methods have the problems of non-personalized recommendation results and low accuracy, so it is extremely urgent to develop high-precision personalized video recommendation method.A video recommendation method based on the fusion of autoencoders and multi-modal data was presented.This method fused two data including text and vision for video recommendation.To be specific, the method proposed firstly used bag of words and TF-IDF methods to describe text data, and then fused the obtained features with deep convolutional descriptors extracted from visual data, so that each video document could get a multi-modal descriptors, and constructed low-dimensional sparse representation by autoencoders.Experiments were performed on the proposed model by using three real data sets.The result shows that compared with the single-modal recommendation method, the recommendation results of the proposed method are significantly improved, and the performance is better than the reference method.…”
Get full text

AAT model based channel estimation for mmWave massive MIMO systems by Shujuan YU, Rong LIU, Yun ZHANG, Na XIE, Liya HUANG

“…To solve the problems of temporal correlation and susceptibility to noise in millimeter wave massive MIMO channels, which result in decreased channel estimation accuracy, a novel channel estimation method based on an improved temporal convolutional network was proposed.The channel matrices obtained from simulation were feed into the system as two-dimensional image data.The temporal correlation was utilized for feature fusion and an attention in attention network was constructed to enhance the system’s ability to extract deep channel features.Then, AAN was integrated into the temporal convolutional network for training.Finally, the system outputted a denoised two-dimensional image, namely, the channel estimation matrix.Simulation results demonstrate that the proposed method not only exhibits good performance and complexity compared to conventional channel estimation methods but also maintains robustness when the test scenario changes.…”
Get full text