bluuebunny/crossref_metadata_2025 huggingface dataset:
DETECTING THE INFORMATION SECURITY ANOMALIES BASED ON AN ENTROPY ANALYSIS OF THE INFORMATION SYSTEM
Authors: Panchenko M. , Bigdan A. , Babenko T. , Tymofieiev D.
Published: September 2022

Measures to protect against cyberattacks are unable to provide a 100% guarantee that an attacker cannot penetrate an information system. If an attacker has gained access to the system, then such actions should be detected as soon as possible and interrupt access, as well as an investigation to fix security gaps. Methods used to detect attacks are divided into detecting misuse and detecting anomalies. This paper investigates the applicability of a frequency method that detects anomalies in the system by analyzing the entropy of the event log. This method is typically used to detect anomalies in network traffic, and unauthorized activities can also be indicated by anomalies in the hosts' event log. Studies on the Windows event log have shown that by analyzing the entropy, it is possible to detect exceeding the security thresholds by the number of different messages in the event log. This may indicate anomalies in the operation of the information system. The proposed method can be integrated into intrusion detection systems that notify the security administrator of possible violations.
DETERMINATION OF FORECAST INDICATORS OF ELECTRICITY QUALITY IN MODE OF SYNCHRONIZED VECTOR MEASUREMENTS
Authors: KIKTEV N. A. , OBSTAWSKI P.
Published: September 2022

The work is devoted to the development of software for forecasting the quality of electricity in an automated system for diagnosing the quality of electricity consumers using cloud technologies. The existing domestic and foreign methods for monitoring the quality of electricity using the technology of synchronized vector measurements are analyzed. The structural scheme of the technology of diagnostics of electricity quality as a new direction at the junction of sciences – information technologies and energy is developed. Based on the experimental data of electricity quality indicators obtained from the synchrophasor, an array of data (dataset) was formed for further processing. Two statistical methods were chosen to study the data and forecast the indicators of electricity quality – the nearest neighbors and ridge regression. With the help of standard Phyton programming language libraries, reading and primary data processing, plotting, statistical processing and implementation of forecasting models were performed. The analysis of the obtained forecast graphs is performed and it is concluded that according to the normalized data the accuracy of the Ridge regression model is higher by 10-15%. The WEB-interface of the system for interactive interaction and visualization of indicators with the output of tables and graphs for analysis, graphical representation and display of the results of diagnostics of electricity quality is designed and developed.
Racial Disparities in Ischemic Heart Disease
Authors: C Blankenship James
Published: September 2022

Ischemic heart disease is a leading cause of death for most racial and ethnic minorities and is estimated to be responsible for one in seven deaths in the United States. Black adults have the highest burden of cardiovascular disease. Despite significant advances in treatment of ischemic heart disease and an increased awareness of racial disparities, racial and ethnic minority groups remained disproportionately burdened with ischemic heart disease and experience higher mortality and rehospitalization rates compared to Whites. This review details racial disparities in different syndromes, treatments, and outcomes of ischemic heart disease and suggests strategies for reducing or eliminating these disparities.
The Assessment of Severity in Patients with Coronary Artery Disease Through Coronary Angiotomography and Physical-Functional Assessment
Authors: Oliveira de Matos Carlos José
Published: September 2022

Background: The assessment of the coronary artery calcium score and the degree of coronary stenosis with the aim of tracking a higher risk for coronary events, when associated with an assessment of functional health, may indicate possible physical disabilities that will impact their quality of life. Design: Cross-sectional study. Methods: 208 patients underwent coronary artery calcium score quantification and were divided into absent (0), low (1-100), intermediate (101-400) and high / very high (> 400), as well as the degree of coronary artery stenosis through percentage. Functional assessment was performed through the measure of functional independence, modified Katz index and Barthel index, and for physical capacity and the 6-minute walk test, with statistical analysis through analysis of variance. Results: The middle ages were 57±11,2 years and 61,5% were females. The most frequent risk factors were high blood pressure (78,4%) and family history to CAD (72,1%). The most common level was intermediate, 23,8%. The functionality showed a deficit of 19%; the distance travelled was 67,9% of the predicted distance, with differences observed between coronary arterial calcium score groups (p=0,03). The functionality was associated with the sedentary lifestyle (p=0,007) and dyspnea (p=0,008), while the physical capacity was associated with the dyspnea (p=0,03). Conclusions: Patients with coronary artery disease with a higher calcium score (>400) had reduced physical capacity. Functionality showed that there was an association with a sedentary lifestyle and dyspnea.
Predicting Paroxysmal Atrial Fibrillation in Patients with Embolic Stroke of Undetermined Source (Esus) In the Real-World Practice: Comparison Between Brown-Af, As5f And Cha2ds2-Vasc Scores
Authors: Masotti Luca
Published: September 2022

Introduction: Searching paroxysmal atrial fibrillation (PAF) is fundamental and strongly recommended in patients suffering from cryptogenic stroke or embolic stroke of undetermined source (ESUS). In the latest years some prediction scores for detecting post-stroke PAF have been proposed, such as Brown-AF and AS5F. However, external validations lack. The aim of the present study was to analyze the predictive power of AS5F and Brown-AF scores and compare them with the CHA2DS2-VASc score. Materials and Methods We analyzed demographic, clinical, trans-thoracic echocardiography and brain computer tomography characteristics of patients with ESUS undergone to two weeks external ECG monitoring after hospital discharge. PAF was considered detected when any evidence of AF and/or atrial flutter occurred at monitoring. For each patient we calculated the Brown-AF, AS5F and CHA2DS2-VASc scores and we analyzed and compared their predictive power by using area under the Receiver Operating Curve (AUROC). Results: Eighty-two consecutive ESUS patients with mean age ± SD 72 ± 10 years were the study population. Overall, PAF was detected in 43.9% of patients. PAF detection increased from 18.75% of patients with Brown ESUS-AF score 0 to 54.3% of patients with Brown ESUS-AF score ≥ 2. PAF was detected in 37.2% of patients with AS5F < 67.5 and 51.2% of patients with AS5F score ≥ 67.5. AUROC of Brown ESUS-AF score in predicting AF detection was 0.642 (95% CI: 0.528-0.745), while AUROC of AS5F was 0.618 (95% CI: 0.504-0.723)(p=0.6872). No difference between predictive power of Brown ESUS-AF and AS5F scores with CHA2DS2-VASc (AUROC 0.671, 95% CI: 0.559-0.771) was found. Conclusion: Both Brown ESUS-AF and AS5F scores could be used as a screening tool for selecting ESUS patients requiring prolonged ECG monitoring aimed to detect PAF. However, in our study their predictive power was quite low and not superior to that of CHA2DS2-VASc score.
Approaches to Vaccination of Patients with Diabetes Mellitus and Obesity in the Current Epidemiological Situation
Authors: Tarasova A. А. , Kostinov M. P. , Mescheriakova V. V. , Kvasova M. A. , Smirnova T. A.
Published: September 2022

Relevance. To date, there is ample evidence that diabetes mellitus (DM) and obesity are predictors of a severe course and adverse outcome of COVID-19. The SARS-CoV-2 virus is known to have deleterious effects on the pancreas, exacerbating insulin resistance The SARS-CoV-2 virus is known to have deleterious effects on the pancreas, exacerbating insulin resistance. Long-term data have been accumulated regarding pneumococcal infection and influenza, both of which are severe in patients with diabetes and obesity. The aim is to analyze scientific publications on the problems of vaccinating patients with diabetes and obesity against SARS-CoV-2, pneumococcal infection, and influenza. Conclusions. Vaccination against COVID-19 in patients with DM and obesity is an effective preventive measure. Experience with vaccination against COVID-19 using the following vaccines: Moderna mRNA-1273, Pfizer BioNTech, BNT162b2, AstraZeneca COVID-19 vaccine AZD1222, SII Covishield, SK Bioscience, Sputnik V showed similar safety and efficacy profiles among obese and DM patients and those at risk. Researchers in numerous publications have emphasized the importance of routine vaccination for people living with diabetes amid a pandemic of a new coronavirus infection. Researchers in numerous publications have emphasized the importance of routine vaccination for people living with diabetes in the face of a new coronavirus pandemic. Analysis of the literature reviewed in this review suggests that vaccination against SARS-CoV-2, especially for those at risk, will be an intensive area of research in the coming years and that vaccination against coronavirus infection is likely to be routine for people with diabetes and obesity.
Reações de perda: o luto e a melancolia em O mar de John Banville
Authors: Gomes Dilorrara Ribeiro
Published: September 2022

O romance O mar (2005), do escritor irlandês John Banville, é uma narrativa que propicia uma análise sobre o luto e a melancolia que acometem o ser humano, pois a história tem um cunho memorialístico e está carregado dos sentimentos de luto e de melancolia. O protagonista e narrador do romance, Max Morden, um sexagenário, relata sobre seu passado e acerca de perdas importantes. Primeiramente, a perda trágica dos gêmeos Myles e Chloe, na infância do protagonista. Posteriormente, já em sua velhice, Max perde a esposa, vítima de câncer. O processo de luto é acompanhado pelo estado de melancolia de Max, sentimento que lhe é particular, a partir do momento em que ele decide regressar ao seu passado e recontá-lo, numa perspectiva terapêutica. Nesta perspectiva, discutimos as reações de perda, o luto e a melancolia, no romance O mar a partir de autores como Walter Benjamin (1984), Moacyr Scliar (2008), Sigmund Freud (2013), Kathleen Costello-Sullivan (2018), dentre outros, que contribuem para a compreensão desses sentimentos.
Nerve transfers for brachial plexus injuries: grading of volitional control
Authors: Socolovsky Mariano , Barillaro Karina , Bonilla Gonzalo , Masi Gilda Di , Malessy Martijn
Published: September 2022

OBJECTIVE

After brachial plexus injuries (BPIs), nerve transfers are used to restore lost muscle function. Brain plasticity underlies the process of regaining volitional control, which encompasses disconnection of the original donor nerve–related programs and reconnection to acceptor nerve programs. To the authors’ knowledge, the levels of disconnection and reconnection have never been studied systematically. In this study, the authors developed a novel 4-point plasticity grading scale (PGS) and assessed the degree of volitional control achieved, identifying clinical correlations with this score.

METHODS

Patients with BPI who underwent a phrenic, spinal accessory, median, and/or ulnar fascicle nerve transfer to restore biceps and deltoid function were asked to maximally contract their target muscle as follows: 1) by using only the donor nerve program, and 2) by activating the target muscle while consciously trying to avoid using the donor nerve, with assessment each time of the Medical Research Council (MRC) scale grade for muscle strength. The authors’ PGS was used to rate the level of volitional control achieved. PGS grade 1 represented the lowest independent volitional control, with MRC grade 4 obtained in response to the donor command and MRC grade 0 in response to the acceptor command (minimum brain plasticity), whereas PGS grade 4 was no noticeable contraction in response to the donor command and MRC grade 4 in response to the acceptor command (maximum brain plasticity).

RESULTS

In total, 153 patients were studied. For biceps restoration, the phrenic nerve was used as a donor in 44 patients, the spinal accessory nerve in 40 patients, and the median and/or ulnar fascicles in 44 patients. A triceps branch was used to restore deltoid function in 25 patients. The level of volitional control achieved was PGS grade 1 in 1 patient (0.6%), grade 2 in 21 patients (13.7%), grade 3 in 103 patients (67.3%), and grade 4 in 28 patients (18.3%). The median PGS grade did not differ significantly between the four donor nerves. No correlations were observed between age, time from BPI to surgery, duration of follow-up, or compliance with rehabilitation and PGS grade.

CONCLUSIONS

Just around 20% of the authors’ patients developed a complete disconnection of the donor program along with complete independent control over the reinnervated muscle. Incomplete disconnection was present in the vast majority of the patients, and the level of disconnection and control was poor in approximately 15% of patients. Brain plasticity underlies patient ability to regain volitional control after a nerve transfer, but this capacity is limited.
Widows in the Hispano-Roman - Suevic/ Visigothic Councils of Hispania
Authors: Ferreiro Alberto
Published: September 2022

The Church Fathers did not neglect to give attention to widows and articulate what they believed was their role in the Church. Modern studies are quite abundant focusing mainly from the New Testament, the early Church, and the Middle Ages. One era that has been marginalized is widows in sources from late antique Roman and Suevic-Visigothic Hispania. Early Christian writers are noted for background only, the focus here are the conciliar texts dating from the fourth through seventh centuries.
Herchenefreda. Trzy listy do syna Dezyderego
Authors: Chudzikowska-Wołoszyn Małgorzata
Published: September 2022

Prezentowany tekst zawiera przekład trzech listów, które w pierwszej połowie VII w. merowińska arystokratka Herchenefreda napisała do swojego syna Dezyderego, wpływowego możnego i przyszłego biskupa Cahors. Przekład poprzedzony został wstępem, w którym czytelnik odnajdzie szkicowo zarysowany kontekst epoki, informacje na temat życia Herchenefredy oraz Dezyderego, a także tematykę poszczególnych listów. Korespondencja merowińskiej arystokratki ostatecznie znalazła się w anonimowych dziejach świętego Dezyderego i w ten sposób także ocalała od zapomnienia. Niekwestionowanie ubogaca ona zasobną merowińską tradycję epistolarną. Przede wszystkim z uwagi na samą autorkę – świecką możną - która w tak przeważającym gronie współczesnych jej męskich twórców pretenduje do miana rara avis.  Zwraca uwagę także osobisty i emocjonalny ton omawianej matczynej korespondencji. Listy są ważnym świadectwem wczesnośredniowiecznych relacji rodzicielskich, statusu szlachetnie urodzonych matron, ich wykształcenia oraz powinności względem rodu, męża, synów i wreszcie także całej chrześcijańskiej wspólnoty.
Ortodoksja jako droga twórczego rozwoju dziecka w "Panarionie" Epifaniusza z Salaminy
Authors: Gilski Marek , Wysocki Marcin
Published: September 2022

Artykuł podejmuje problematykę dziecka w Panarionie Epifaniusza z Salaminy. Składa się z trzech części: pierwsza ukazuje znaczenie dzieciństwa, w drugiej prezentowane są negatywne postawy sekt wobec dzieci, w ostatniej analizie poddano dzieciństwo Zbawiciela. Do najważniejszych wniosków płynących z analiz należą: 1. Dzieciństwo jest ważnym etapem w życiu pojedynczego człowieka i całej ludzkości, który należy twórczo rozwinąć. Błędem są próby odcinania się od wartości otrzymanych w dzieciństwie; 2. Brak jest w Panarionie, poza nielicznymi wyjątkami, szczegółów na temat dzieciństwa herezjarchów; 3. Z kart katalogu herezji wyłania się obraz dziecka ściśle związany z poprawną teologią. Negatywne postawy względem dzieci są związane z działalnością sekt; 4. Panarion jest dowodem na to, że w pierwszych wiekach, w epoce prześladowań i powstawania wielu herezji, wiele chrześcijańskich rodzin poniosło wychowawczą porażkę. Ich dzieci nie wytrwały w wierze, w której zostały wychowane.
Comparative Review and Performance Evaluation of Various Solar PV System Reconfigurations
Authors: Sharma Mona , Pareek Smita , Singh Kulwant
Published: September 2022

In the current context, the most challenging and demanding research is to obtain maximum power from solar photovoltaic (SPV) power systems. Partial shadowing (PS) is a prominent cause of solar photovoltaic panels output power loss. The output decreases proportionally to the shaded area, the placement of shaded panels within the array, panel interconnections, shade pattern, etc. Numerous static and dynamic approaches for reducing the PS effect have been reported in the literature. Of these, the most common is the reconfiguration technique based on the static method, which distributes shaded panels more consistently and increases maximum power generation. The current study investigates the performance of common existing reconfiguration techniques based on static methods, including TCT, Sudoku, odd even (OE), and Latin square (LS) on a 4×4 PV array. The five different shadow patterns: short narrow (SN), short wide (SW), long narrow (LN), long wide (LW), and centre (CN) are implemented in this work. The performance analysis is carried out by comparing the maximum power generated (PM) and the results of panel simulations, as well as their theoretical conclusions, to ensure that these strategies are effectively implemented in hardware configuration.
Endothelial activation and stress index (EASIX) as a predictive biomarker in small cell lung cancer
Authors: Go Se-Il , Park Sungwoo , Kang Myoung Hee , Kim Hoon-Gu , Kang Jung Hun , Kim Jung Hoon , Lee Gyeong-Won
Published: September 2022

BACKGROUND: Endothelial activation and insult may contribute to the aggressive clinical course of small-cell lung cancer (SCLC); however, no predictive biomarker for this pathogenesis has been identified. OBJECTIVE: To evaluate the clinical impact of the endothelial activation and stress index (EASIX) in SCLC. METHODS: In this retrospective study, the EASIX was calculated from measurements of serum lactate dehydrogenase, creatinine, and platelet levels. A total of 264 patients with SCLC treated with platinum-based chemotherapy were stratified into high and low EASIX groups. RESULTS: Complete and objective response rates in the limited-stage (LD) were 19.5% vs. 33.3% (P= 0.050) and 85.4% vs. 97.9% (P= 0.028) in the high and low EASIX groups, respectively. There was no significant difference in the response rate between the two groups in the extensive-stage (ED). The median overall survival was 9.8 vs. 40.5 months in LD (P< 0.001) and 7.2 vs. 11.9 months in ED (P< 0.001) in the high and low EASIX groups, respectively. In multivariate analyses, a high EASIX level was an independent prognostic factor for worse progression-free and overall survival irrespective of stage. CONCLUSION: EASIX may be a potential predictive biomarker of SCLC.
An Integer Wavelet Transform Based Lossless Image Compression Technique Using Arithmetic Coding
Authors: Rahman Md. Atiqur , Hamada Mohamed , Ameer Ali Mohammad , Amin Md. Faizul Ibne
Published: September 2022

The volume of image data produced today is increasing, which makes storing and transferring them a difficult task. There are some fields where loss-less image compression can be valuable because it allows the compression of images without compromising their quality. In this paper, we propose a lossless image compression technique based on linear prediction, integer wavelet transformation (IWT), and Arithmetic coding to improve the compression ratio of lossless images. As compared to state-of-the-art algorithms, the proposed algorithm increases compression ratios by at least 2.553% and up to 32.546%.
A Web Group Decision Support System Based on Granular Computing
Authors: Cabrerizo Francisco Javier , González-Quesada Juan Carlos , Pérez Ignacio Javier , Cobo Manuel Jesús , Herrera-Viedma Enrique
Published: September 2022

Achieving a good agreement level between decision-makers is a crucial point to solve group decision-making processes. Habitually, it is the duty of the moderator, a person in charge of assuring that the consensus reaching process is conducted correctly. This person also offers advice to the decision-makers with the objective that they modify their assessments and narrow their differences. A great number of theoretical models have been introduced to help or substitute the moderator’s tasks. However, few of them have been implemented in practice. In this study, we present a web group decision support system helping, and even substituting, the moderator’s functions during the whole decision-making process. This system is based on the granular computing paradigm to improve both the consistency and the consensus achieved between the decision-makers. In addition, the system improves them with the possible minimum adjustment, i.e., it tries to modify the decision-makers’ assessments as minimum as possible. This group decision support system provides a web interface allowing to conduct group decision-making processes in which the decision-makers do not have the choice to meet together physically.
Malicious URL Detection with Distributed Representation and Deep Learning
Authors: Do Nguyet Quang , Selamat Ali , Lim Kok Cheng , Krejcar Ondrej
Published: September 2022

There exist numerous solutions to detect malicious URLs based on Natural Language Processing and machine learning technologies. However, there is a lack of comparative analysis among approaches using distributed representation and deep learning. To solve this problem, this paper performs a comparative study on phishing URL detection based on text embedding and deep learning algorithms. Specifically, character-level and word-level embedding were combined to learn the feature representations from the webpage URLs. In addition, three deep learning models, including Convolutional Neural Network (CNN), Bidirectional Gated Recurrent Unit (BiGRU), and Bidirectional Long Short-Term Memory (BiLSTM), were constructed for effective classification of phishing websites. Several experiments were conducted and various evaluation metrics were used to assess the performance of these deep learning models. The findings obtained from the experiments indicated that the combination of the character-level and word-level embedding approach produced better results than the individual text representation methods. Also, the CNN-based model outperformed the other two deep learning algorithms in terms of both detection accuracy and execution time.
A Holistic Automated Software Structure Exploration Framework for Testing
Authors: Cao Yushi , Teo Yon Shin , Zheng Yan , Toh Yuxuan , Lin Shang-Wei
Published: September 2022

Exploring the underlying structure of a Human-Machine Interface (HMI) product effectively while adhering to the pre-defined test conditions and methodology is critical for validating the quality of the software. We propose an reinforcement-learning powered Automated Software Structure Exploration Framework for Testing (ASSET), which is capable of interacting with and analyzing the HMI software under testing (SUT). The main challenge is to incorporate the human instructions into the ASSET phase by using the visual feedback such as the downloaded image sequence from the HMI, which could be difficult to analyze. Our framework combines both computer vision and natural language processing techniques to understand the semantic meanings of the visual feedback. Building on the semantic understanding, we develop a rules-guided software exploration algorithm via reinforcement learning and deterministic finite automaton (DFA). We conducted experiments on HMI software in actual production phase and demonstrate that the exploration coverage and efficiency of our framework outperforms current start-of-art methods.
Twitter Face Image Mining for Recognition of Different Face Mask Types
Authors: Arroyo-Rojas Ulises , Jimenez-Martinez Miguel , Benitez-Garcia Gibran , Olivares-Mercado Jesus , Takahashi Hiroki
Published: September 2022

In the current pandemic of coronavirus disease (COVID-19), an effective way to prevent the transmission and infection of the virus is the proper use of face masks. However, the different types of masks provide different degrees of protection. For instance, valved masks protect the user but do not help to stop the transmission. Hence, the automatic recognition of face mask types may benefit applications that control access to facilities where a certain facepiece is required. In this paper, we propose a Twitter mining framework to gather a large-scale dataset of masked faces suitable to train deep learning-based models for face mask recognition. We employ a keyword-based selection where non-face images are discarded by an efficient face detector (Retinaface). Finally, we train a state-of-the-art CNN architecture (ConvNeXt) for recognizing the wearing mask. We also present a brief analysis of more than two million image-based tweets acquired over two years since the beginning of the pandemic. The code of the proposed framework and a preliminary dataset of more than 10K faces (manually annotated into unmasked, surgical, cloth, respirators, and valved masks) are available on github.com/GibranBenitez/FaceMask Twitter.
Air Finger Pressing Activity-Based Character Input System on a Virtual Keyboard
Authors: Watanabe Taiki , Hasan Md. Al Mehedi , Shin Jungpil
Published: September 2022

Non-touch-based keyboard became an urgent need in many situations where humans cannot directly touch the keyboard due to hygienic or security issues in human computer interaction. In this paper, a non-touch keyboard has been created using Leap Motion and Unity. The key layout is based on the qwerty type. There are five types of keyboards that we have created to provide support for both Japanese and English characters. The five types are default type, orthogonal type, round default type, round orthogonal type, and flick keyboard. In addition, a word prediction function has been implemented to assist user input. A word prediction function was added to the keyboard of the round orthogonal type, which has the highest input accuracy. It’s input accuracy was 96.84% and the character per minute (cpm) was 77.67. The flick keyboard recorded an input accuracy of 97.6% and a cpm of 56.485. This is comparable to other studies in terms of input accuracy and much higher in terms of cpm.
Verification for 3D Reconstruction of Stairs Using Artificial Image Data
Authors: Nakamura Keita , Baba Keita , Yoshikawa Takuma , Hanari Toshihide , Kawabata Kuniaki , Matsumoto Taku
Published: September 2022

It is generally difficult to measure complex shapes such as stairs with high accuracy for indoor environment scanning by the robot. Therefore, we consider the three-dimensional (3D) reconstruction of stairs using Structure from Motion (SfM) and Multi-View Stereo (MVS) which perform 3D reconstruction from images acquired by the robot vision. In this study, we verify whether it is possible to acquire a 3D reconstruction result of stairs by using images shot while ascending and descending the stairs as input to the reconstruction method. To calculate the accuracy of the reconstruction result, we use 3D computer graphics software to generate artificial image data to be applied to the 3D reconstruction. Experimental results show that 3D reconstruction results of the stairs are more accurate by applying both images shot when ascending and descending stairs to the 3D reconstruction methods.
A Conceptual Framework of Dynamic Risk Management for Autonomous Vehicles
Authors: Patel Anil Ranjitbhai , Bhardwaj Haupt Nikita , Liggesmeyer Peter
Published: September 2022

Hazard Analysis and Risk Assessment (HARA) of ISO 26262 evaluates system malfunctions resulting in hazardous events to determine Automotive Safety Integrity Levels (ASILs). To ensure system safety, these ASILs are used to identify corresponding safety measures like fault prevention, tolerance, or mitigation, which act as safety goals to be implemented during the design time. The entire process of HARA is based on worst-case assumptions and the very premise that a human driver is available to take control of the vehicle and is thus responsible for its safe behavior. However, Autonomous Vehicles (AVs) are safety-critical systems operating in uncertain and dynamic environments envisioned to function without human attention and intervention. These worst-case assumptions prompt intensive safety measures – which are not only unnecessary for certain situations but also result in limited performance of the vehicle. Therefore, in order to ensure safety in uncertain environments and in the absence of a human driver, Dynamic Risk Management (DRM) is necessary. To this end, we propose a DRM framework that takes a risk-dependent decision for a safe reconfiguration of the system at runtime. We use data from the on-board sensors to perform risk assessment and trigger safety-actions when necessary. This aids the vehicle in making decisions that ensure its safe behavior at all possible times.
Intrusion Detection with Big Data Analysis in SDN-Enabled Networks
Authors: Do Thi Thu Hien , Le Ba Truc , Phan The Duy , Do Thi Huong Lan , Hien Do Hoang , Pham Van-Hau
Published: September 2022

Although Software-defined networking (SDN) is a promising architecture that simplifies network management and control, it also faces security problems that may affect the whole network. Hence, protecting strategies, such as intrusion detection and prevention system (IDPS), are in need in the SDN context. The potential of machine learning-based solutions can become the motivation of cut-edge deep learning-based intrusion detection system that can leverage the centralized control and view of the controller to secure the underlying infrastructure. However, performing additional IDPS functions in the controller, which needs to process enormous traffic amounts, can overload this component, and slow down the network. This paper introduces an approach of Big Data analysis for intrusion detection system in SDN, named BIDSDN to enhance the classification perfor-mance with a massive amount of network traffic data. Specifically, we leverage Apache Spark to deploy the distributed deep learning – based detector to reduce the processing time on complex algorithms. The experiments conducted on CICIDS2018 dataset with distributed cluster prove the efficacy in tackling the Big Data-related issues in the large-scale network like SDN.
Segmentation on Chest CT Imaging in COVID-19 Based on the Improvement Attention U-Net Model
Authors: Tran Nguyen N.D. , Nguyen Hien D. , Huynh Nhan T. , Tran Nha P. , Nguyen Linh V.
Published: September 2022

This paper proposes a new deep learning model to detect COVID-19 lesions in chest CT images. This method is based on the Attention U-net which uses the layer of Atrous Spatial Pyramid Pooling (ASPP) to capture the feature on various scales. It also contains an attention gate. The attention gate provides the ability to suppress irrelevant regions and focus on the useful feature in an input image. The experimental results show that this method can achieve 99.61% accuracy and 80.43% precision. They are more effectively than the baseline method on Chest CT images.
Towards Normalized Systems from RDF with SPARQL
Authors: Suchánek Marek , Mannaert Herwig , Pergl Robert
Published: September 2022

Normalized Systems are a model-driven development technique focusing on evolvability and sustainability of resulting enterprise information systems. It applies well-defined principles to create a fine-grained modular structure while limiting combinatorial effects. The systems are generated (or, more precisely, expanded) from models of so-called NS Elements. NS has its own modelling language; however, interoperability with other knowledge representations is necessary. This work presents our solution for transforming knowledge kept in one of the most generic forms – RDF semantic triples – to NS Elements. The transformation enables mapping using RDFS/OWL ontologies describing both the input RDF. It utilizes SPARQL for executing the transformation to RDF based on the existing NS Element ontology. The presented transformation is demonstrated on an example case study, and its features and limitations are discussed together with potential future steps.
ANALYSIS OF WORLD EXPERIENCE IN DESIGNING PARKING IN AN URBAN ENVIRONMENT
Authors: Dukhniak Iryna , Terletska Yuliia
Published: September 2022

The article analyzes the world experience of parking design, examines examples of parking facilities in economically developed countries in Europe and the United States. Four parking buildings, which differ in design solutions and play different architectural roles in the environment, were analyzed in detail. This indicates the direct impact of the surrounding space and context on the design of new buildings and car parkings in particular. 

The analysis was performed on the three-dimensional, architectural planning and compositional-aesthetic characteristics, resulting in features and successful design solutions were highlighted. These examples of foreign experience in parking design were considered in particular in the context of the existing urban environment: an analysis of the new buildings impact on the overall perception of space and the harmony of intervention in the environment is carried out. Generalizations were made on the basis of the analysis, as a result, the features of modern design of parking lots in the urban environment were highlighted. 

The obtained results indicate broad perspectives and opportunities for the design of such facilities in Ukraine. In particular, the analysis of designing quality parkings is important for Lviv, where citizens face new problems every day due to growing urbanization and historical preconditions, such as constant lack of parking spaces, chaotic parked cars on streets and pedestrian zones, traffic congestion, reduction level of mobility of citizens and related. The analysis also highlighted the most important aspects to consider at the parking project stage. It will help Ukrainian architects to make the most relevant and harmonious spatial and architectural planning and compositional-aesthetic decisions, creating new parking facilities in Ukraine.
IMPLEMENTATION OF PROCEDURES FOR VERIFICATION OF THE STATE OF RELIABILITY OF CONTRACTORS IN THE MODEL OF ADMINISTRATION OF CONSTRUCTION PROJECTS
Authors: Zhаldak Ruslan , Chernyshev Denys , Malikhin Mykhailo , Mirutenko Oleksandr , Kishchak Nataliia , Barilyuk Anton
Published: September 2022

The article outlines the areas of improvement of existing approaches and analytical technologies for identifying the state of the microenvironment of the construction project and its leading participants. The theoretical basis for the functioning of development as an innovation and investment infrastructure of the construction complex is highlighted. The relevance of determining the success potential of the management decision and the success potential of the investment and construction project development is substantiated. Factors and risks that contribute to the failure of development projects in the construction industry are reflected. The results of the work allow top management of contractors to effectively monitor, structure and maneuver the assets of contractors in the process of their operations, provide a reasonable opportunity to adjust the economic strategy and parameters of the production portfolio of construction companies. The substantiation of the content of the leading functions of the "organizational structure" as a temporary enterprise for the organization of construction and development of DBP type (construction project developer) includes: management of logistics, preparation and construction processes, ensuring the transformation of resources of the customer and its institutional partners; coordination and administrative-regulatory function, which is to ensure communications and institutional and organizational design of relations between institutional participants and executors of the project in the form of agreements, contracts and a functioning directorate for project administration; directing the development system and organizational structure of management to timely identify threats to the progress of preparation and construction of facilities. The adaptive methodology of organizational and technological development of the project cycle and its administration by a temporary development company is justified in such a way as to adjust the content of business processes in the middle of the structure to the essence of tasks and work life cycle. The methodology harmonizes the requirements and methodological approaches of the development system in construction with the requirements and standards set by the Project Management Institute, which includes the inclusion of tools for construction, in addition to BIM-modules, and special visual components - "sensitivity maps".
ORGANIZATION FOR THE PROTECTION OF CIVIL POPULATION IN MULTI-STOREY RESIDENTIAL BUILDINGS
Authors: Zhydkova Tetyana , Chepurna Svіtlana
Published: September 2022

The war in Ukraine is shown complete inability to ensure protection civil population. The current legislation and building codes on engineering and technical measures of civil protection weren’t provided by the realities of war.

The experience of Israel and Singapore in creating safe rooms directly in residential buildings has been analyzing.

The purpose of this researching is discovering inability to modern requirements for current standard codes due to ensuring of civil protection population.

For achievement to purpose was defended following tasks: the experience of something country in ensuring of civil protection population is analyzed, adding to change to the current edition of the State Building Regulations is offered.

In the most amount of Ukraine's residential buildings, there are no safe areas within apartments that can protect the population during rocket attacks and bombardments.

A fundamental scheme of a multi-storey building resistant to destruction and the creation of a protected space within residential buildings is proposed in Ukraine. Examples of the using of this scheme for the organization of safe zones for existing projects of residential buildings are given.

Main requirements of adding to change to the current edition of the State Building Regulations to chapter to ensuring civil protection population is made:

Basic requirements have been developed for adding to change by state building codes in terms of ensuring civil protection of the population: building structures must be designed for resistance to local destruction; escape routes stairs and elevator shafts must be reliably protected from damage and destruction; when developing projects of residential buildings inside an apartment or floor, protection zones should be provided.
EXPERIENCE IN INFORMATION SUPPORT OF THE STATE ADMINISTRATION SYSTEM OF THE REAL ESTATE CADASTRE IN THE CZECH REPUBLIC
Authors: Kulikovskaya Olha , Isayev Alexandr , Katushkov Volodymyr
Published: September 2022

Due to the emergence of modern requirements for providing the necessary information to state authorities and local self-government bodies, interested enterprises, institutions and organizations, as well as citizens in order to regulate land and other relations, determine the amount of land fees and the value of land as part of natural resources, control over the use and protection of land, economic, environmental justification business plans and economic projects there was a need to analyze the practice of organizing geodetic, cartographic and cadastral works abroad on the example of consideration of the history and current state of cartographic and geodetic support, cadastral works on the territory of the Czech Republic. The formulated purpose and objectives of the study led to the use of general scientific approaches, logical laws of drawing conclusions, special methods of cognition. In carrying out the tasks, the research was based on the world experience of using the descriptive method, the historical and typological method based on complex and systematic approaches. The information base of the research was collections of scientific papers, periodical professional publications, Internet resources, regulatory documents. The article describes the choice of effective methods of organizing geodetic, cartographic and cadastral works abroad by the example of considering the history, current state and experience of cadastral works on the territory of the Czech Republic. The practical significance is noted by the target direction of this study for the needs of specialists in the geodetic industry, for land surveyors, for specialists in organizing effective work on methods and methods of collecting spatial data that can provide operational automated receipt of cartographic information with a given accuracy and the necessary amount of information for both the needs of the country and interested users of various industries. The implementation of the geospatial data infrastructure in the republic, which is accessible to everyone on the Internet, is investigated.
TRENDS OF URBAN DEVELOPMENT OF COASTAL TERRITORIES OF LARGE CITIES
Authors: Banakh Viktor , Banakh Andrii , Fostaschenko Olena , Arhipova Katherine , Fostaschenko Danilo , Zakharova Svetlana
Published: September 2022

Modern tendencies in architectural and landscape design of coastal territories of large and significant cities of the world are considered. The functional zoning of coastal areas of large cities in historical development is analyzed. The basic principles of revitalization of coastal areas in the formation of new watersheds are outlined. The directions of the planning organization of building of coastal territories of cities are established. For each city located near water bodies, the connection with them determined the historical development of the city, structure and architectural appearance, cultural traditions and way of life, typology and status of urban spaces. Today the problems of ecology, quality of the urban environment, optimization of infrastructure, balanced development of territories come to the fore. The study of the functional and planning structure of the coast of major cities of the world has identified the main urban features of coastal development. On the examples of implemented design solutions, an analysis of the volumetric and functional solution of the studied territories was carried out. Traced modern architectural trends, the latest trends in the world of innovative building technologies used in the reconstruction, revitalization and construction of embankments. As the analysis of world practice shows, today the urban type of coastal territories as a whole dominates. This is due to the loss in the process of urban development of the natural properties of the landscape in its natural state, and the need to take into account a number of factors of the architectural environment. Some facilities are places of mass use and their uneven placement in the coastal area is the cause of seasonal traffic and pedestrian traffic. Some principles are formed at the conclusion.
UPDATE MODELS OF CONSTRUCTION ORGANIZATION IN THE CONTEXT OF THEIR ADAPTOGENICITY TO MODERN MANAGEMENT AND DIGITAL TECHNOLOGIES
Authors: Prуkhodko Оleh , Nikolaev Georhii , Akselrod Roman , Hrynenko Igor , Ryzhakova Hanna , Kushnir Ilya
Published: September 2022

The lack of clear and accessible information sources, services, platforms, applications or portals on digital business transformation slows down the speed of innovation in domestic entrepreneurship. In turn, this does not allow businesses to integrate with global trends, which complicates access and work in the international economic arena. The identified problems necessitate the development of a methodological approach to the study of digital transformation processes at the enterprise level; polystructural methodological approach to determining the index of digital transformation of business structures on the basis of relevant indicators; design and implementation of a digital platform for small and medium-sized businesses, which would automatically determine the Digital Transformation Index and provide an individual "road map" to improve the digital development of the enterprise. The article presents recent innovative technology for modeling business processes of enterprises based on process management. The paper considers the creation and justification of the updated methodological and analytical tools for assessing, selecting and regulating the production system of administration of an enterprise project portfolio in a single operating management system. The application of the process approach is based on a comprehensive, systematic review of the enterprise as a set of processes, the development of a process management system using the principles of ISO 9000: 2000. The new process approach is proposed that allows excluding routine operations from the actions of employees, increasing the speed of employee interaction, effectively optimizing existing business processes, and quickly rebuilding the enterprise’s business processes in response to significant changes in business conditions. The work identifies executable business processes, proposes a new approach to modeling the business processes of an enterprise, gives examples of problems associated with the new approach, and suggests possible ways to solve them. Criteria for the results of simulated business processes are defined that allow linking the target indicators of a balanced scorecard of the enterprise with the established results of business processes. It is proved that the use of this recent innovative technology for solving scientific and practical problems of enterprise management significantly expands and deepens the possibilities of economic analysis in the process of solving problematic situations and makes management decisions more grounded and effective.