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Keyword: ROSocial Financial Technologies for the Development of Enterprises and the Russian Economy
The main contradiction identified in the study is that the existing scientific and methodological solves of economy development management processes does not create prerequisites for improving the efficiency of their work, the introduction of progressive technologies for material and moral stimulation of the work of performers and administrative and managerial personnel, advanced social mechanisms for…
Read MoreAnalysis of Linear and Non-Linear Short-Term Pulse Rate Variability to Evaluate Emotional Changes during the Trier Social Stress Test
In conjunction with psychological stress, physiological indicators such as heart rate (HR) and heart rate variability (HRV) are frequently employed. This study uses a substitute for heart rate variability (HRV) known as short-term pulse rate variability (PRV) to evaluate emotional changes. We examined sixteen college students using a low-cost photoplethysmograph and obtained a short-term PRV…
Read MoreForecasting the Weather behind Pa Sak Jolasid Dam using Quantum Machine Learning
This paper extends the idea of creating a Quantum Machine Learning classifier and applying it to real weather data from the weather station behind the Pa Sak Jonlasit Dam. A systematic study of classical features and optimizers with different iterations of parametrized circuits is presented. The study of the weather behind the dam is based…
Read MoreNavigation Aid Device for Visually Impaired using Depth Camera
People with visual impairment face daily struggle of navigating through unfamiliar places. This problem mainly caused by their lack of spatial awareness, i.e., the ability to estimate the distance between themselves and their surroundings. In order for visually impaired people to navigate independently, an effective navigation aid is required. The proposed navigation aid device utilizes…
Read MoreIndoor Positioning: Comparing Different Techniques and Dealing with a user Authentication use Case
Indoor positioning is a complex issue with many, heterogeneous application cases, each one presenting different requirements and environments. In such a complex ecosystem, an agile taxonomy is needed to be able to select a proper solution for a given scenario, as well as practical recommendations for the most used solutions. Besides providing these tools, we…
Read MoreInferring Student Needs Based on Facial Expression in Video Images
Limited interactive communication modes between students and teachers in online environments may lead to teachers misinterpreting or overlooking student needs during online teaching. Students learning online may also hesitate to make their needs known even when latent desires in teaching flow, pacing, and review, may be beneficial to the quality of the learning experience. The…
Read MoreMarkov Regime Switching Analysis for COVID-19 Outbreak Situations and their Dynamic Linkages of German Market
This paper deals with the analysis of the dynamic linkage, co-movement between COVID-19 out- break situations and German stock market. Firstly, Markov Regime Switching Analysis(MRSA) is proposed and employed to investigate the situations in the pandemic, as to catch the dynamics of how the daily number of the newly-infected changes, and also to assess the…
Read MoreAchieving a High Isolation for the Triple-band MIMO Antenna in 5G/ Wi-Fi 6 Applications using Symmetric Parasitic Structure
Recently, the Multiple-input multiple-output (MIMO) antennas have been used a lot and attracted many researchers in advanced high-speed wireless communication systems. MIMO antennas are an essential part not only in access points but also in end-user devices. This technology allows a significant increase in channel capacity, but also lead to a challenge of minimize mutual…
Read MoreAssessment of Scattered-Bend Loss in Polymer Optical Fiber (POF) Displacement Sensor
This work investigated the coupling behavior of the scattered-bend loss in displacement sensor during the bending of the fiber by using a multimode polymer optical fiber (POF). To utilize the scattered-bend effect for displacement measurement, a side coupling technique can be used by twisting a pair of POF fibers and bent the structure into a…
Read MoreHybrid Discriminant Neural Networks for Performance Job Prediction
Determining the best candidates for a certain job rapidly has been one of the most interesting subjects for recruiters and companies due to high costs and times that takes the process. The accuracy of the models, particularly, is heavily influenced by the discriminant variables that are chosen for predicting the candidates scores. This study aims…
Read MoreDevelopment and Analysis of Models for Detection of Olive Trees
In this paper, an automatic method for detection of olive trees in RGB images acquired by an unmanned aerial vehicle (UAV) is developed. Presented approach is based on the implementation of RetinaNet model and DeepForest Phyton package. Due to fact that original (pretrained) model used in DeepForest package has been built on images of various…
Read MoreDay-Ahead Power Loss Minimization Based on Solar Irradiation Forecasting of Extreme Learning Machine
Power losses exist naturally and have to be cared for in the operation of electrical power systems. Many researchers have worked on various methods and approaches to reduce losses by incorporating distributed generators (DG), particularly from renewable sources. These studies are based on the maximum unit penetration of the DGs, which is rarely achieved, resulting…
Read MoreDetecting the Movement of the Pilot’s Body During Flight Operations
This research presents a “Multi-camera for pilot’s cockpit measurement system”, which uses four multi-view images to eliminate the instrument and human body shielding and record the touched area. That could record the body reaction time (velocity and acceleration) and trajectory of the tested personnel. Real-time conversion of multi-view images corresponding to the 3D skeletal joint…
Read MoreOmni-directional Multi-view Image Measurement System in the Co-sphere Framework
This study presents an “Omnidirectional multi-view image measurement system”, which can be used to provide multi-camera 3D reconstruction and multi-view image information. Its characteristic is that four cameras take images from multiple perspectives in the co-sphere framework. The C0 is the middle camera fixed as the geometric center point of measurement, and provides a front…
Read MoreHybrid Intrusion Detection Using the AEN Graph Model
The Activity and Event Network (AEN) is a new dynamic knowledge graph that models different network entities and the relationships between them. The graph is generated by processing various network security logs, such as network packets, system logs, and intrusion detection alerts, which allows the graph to capture security-relevant activity and events in the network.…
Read MoreChallenges Facing Solar Panel Energy Deployment within Qatari Homes and Businesses
Despite many factors conducive to renewable energy investment in Qatar (e.g., the fact that the state is a major gas exporter whose long-term prosperity depends on economic diversification), there is very low uptake of solar panel adoption among home and business owners. Major challenges implicitly face the deployment of solar and other renewables in Qatar,…
Read MoreMultiple Criteria Decision-making: Risk Analyses for the Soft Target
This article focuses on risk analysis using a multi-criteria decision-making method. Due to many performed risk analyses for soft targets, we are constantly trying to find new methods for objective risk assessment. Many risk analyses are subjective, which is a problem when planning security measures and comparing results (different events, objects, places, etc.). In this…
Read MoreNorthern Leaf Blight and Gray Leaf Spot Detection using Optimized YOLOv3
Corn is one of the most important agricultural products in the world. However, climate change greatly threatens corn yield, further increasing already prevalent diseases. Northern corn leaf blight (NLB) and Gray Leaf Spot are two major corn diseases with lesion symptoms that look very similar to each other, and can lead to devastating loss if…
Read MoreMulti-Layered Machine Learning Model For Mining Learners Academic Performance
Different colleges and universities have different approaches to dealing with low-performance learners. However, in most cases, analgesics do not deal with root problems. This research suggests a model of three layers of variables sequentially adaptable to a deep-root issue. The suggested model can identify early pupils who could be at risk because of inaccurate or…
Read MoreDismantle Shilling Attacks in Recommendations Systems
Collaborative filtering of recommended systems (CFRSs) suffers from overrun false rating injections that diverge the system functions for creating accurate recommendations. In this paper, we propose a three-stage unsupervised approach. Starts by defining the mechanism(s) that makes recommendation vulnerable to attack. Second, find the maximum-paths or the associated related items valued by the user. We…
Read MoreAn Ensemble of Voting- based Deep Learning Models with Regularization Functions for Sleep Stage Classification
Sleep stage performs a vital role in people’s daily lives in the detection of sleep-related diseases. Conventional automated sleep stage classifier models are not efficient due to the complexity linked to the design of mathematical models and extraction of hand-engineering features. Further, quick oscillations amongst sleep stages frequently lead to indistinct feature extraction, which might…
Read MoreAn Efficient Way of Hybridizing Edge Detectors Depending on Embedding Demand
Edge detection-based image steganography schemes usually embed data in edge pixels only. However, some schemes embed data in non-edge pixels as well. In that case, the schemes embed more bits in the edges than in the smoothed areas. In all cases, the schemes perform large changes in a tiny area of the image during small…
Read MoreAnalysis and Trend Estimation of Rainfall and Seasonality Index for Marathwada Region
Droughts are undesirable and highly unwanted form of disasters. It is essential to analyse the cause of such extreme events and act accordingly to pave the way for a sustainable future. The present research work conducts a seasonality and trend analysis of rainfall over the eight districts of Marathwada region. The study is carried out…
Read MoreCharacterization and Investigating the Effect of Gate-Insulator Thickness on Co-Axial Cylindrical Carbon Nanotube Field Effect Transistor
Carbon nanotube field effect transistor (CNTFET) has a huge advantage over the Si- MOSFET. In MOSFET switching occurs by altering channel resistivity whereas in CNTFET switching occurs by modulation contact resistance. CNTFET generates three to four times of drive current than MOSFET. Transconductance of CNTFET is four times higher than the MOSFET. The average carrier…
Read MoreMeta-heuristic and Heuristic Algorithms for Forecasting Workload Placement and Energy Consumption in Cloud Data Centers
The increase of servers in data centers has become a significant problem in recent years that leads to a rise in energy consumption. The problem of high energy consumed by data centers is always related to the active hardware especially the servers that use virtualization to create a cloud workspace for the users. For this…
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