Reviewerly/exHarmony huggingface dataset:
Cascaded residual attention mechanism for semantic fusion in vehicle driving

Multiple sensors are often used to work together in vehicle driving, but how to effectively fuse the data of each sensor is a difficult research point. The attention mechanism can assign different weights to each target, allowing more computing resources to focus on key targets, greatly improving computational efficiency and accuracy. In this paper, ResNet34 and SalsaNext are used as encoders of dual-stream networks to extract general features of images and point clouds respectively, and a cascade residual attention fusion strategy is proposed, which is used between two-stream networks to fuse features from two modalities at different encoding stages. Experiments on the SemanticKitti dataset show that this fusion strategy has better performance than single-stage fusion and PMF fusion structures.
Physical reservoir-based structural health monitoring: a preliminary study

The purpose of this study is to discuss the possibility of the concept of physical reservoir computing (PRC) in the field of structural health monitoring (SHM). PRC is a physical realization of a class of recurrent neural networks called reservoir computing (RC). This consists of an input layer, mutually connected network of neurons with strong nonlinearity with fixed coupling weights (referred to as reservoir), and an output layer with learnable weights. The key idea of PRC is to replace the reservoir part in RC by a specific physical entity, which has opened new possibilities of smart structures by providing a way to embed some sort of intelligence in structures. In this study, we propose to apply this framework to SHM by regarding the target structure itself as the physical reservoir. Unlike the conventional problem setting in PRC, our purpose is to detect the change occurred in the physical reservoir due to structural failure. In this paper, we propose one possible methodology to achieve this, in which the output layer is trained to learn some nonlinear function so that the increase of the error may indicate the change of the reservoir due to failure. A simple toy problem using a network of interconnected nonlinear oscillators are presented to examine the validity of the proposed method.
CareProfSys Recommender for Modern Engineering Roles based on Emergent Technologies

The current paper proposes a new recommender system for jobs, useful in early career paths for engineering graduates, which matches users' competences developed in higher education institutions to suitable professions from current modern industrial landscape. The strengths of the proposed software lay in the machine learning-based recommendation algorithm, the integration of latest web technologies and the wide collection of data sources used to build users' profiles. The system is presented in the framework of other recommender systems developed for making career choices.
Automatic Pattern Co-Location Detection in Video Streams-Real time implementation

This paper offers a thorough analysis of automated co-located pattern detection in video streaming.Many flaws, including face recognition, pattern or object recognition, scene comprehension, co-located pattern recognition, etc., have historically developed as a result of pattern recognition procedures.In addition to presenting an exhaustive state of the art in the field, our review study also discusses several encounters and trials relating to its applications and system.Many applications are discussed in great detail in this study.
Reweighting Clicks with Dwell Time in Recommendation

The click behavior is the most widely-used user positive feedback in recommendation. However, simply considering each click equally in training may suffer from clickbaits and title-content mismatching, and thus fail to precisely capture users’ real satisfaction on items. Dwell time could be viewed as a high-quality quantitative indicator of user preferences on each click, while existing recommendation models do not fully explore the modeling of dwell time. In this work, we focus on reweighting clicks with dwell time in recommendation. Precisely, we first define a new behavior named valid read, which helps to select high-quality click instances for different users and items via dwell time. Next, we propose a normalized dwell time function to reweight click signals in training for recommendation. The Click reweighting model achieves significant improvements on both offline and online evaluations in real-world systems.
A Unique Application used to Track Street Vendors - Business Plan

Abstract: This business plan aims to bring the limelight to those street vendors who do not have access to the wide market enjoyed by conventional restaurants &amp; other eateries. The street vendors imbibe the culture of the locality in which they are situated &amp; enrich the fame of the locality but they do not have wide popularity beyond their locality. This is a drawback that can be countered by our application. The application caters to the digitization of the vendors which unlocks their potential &amp; emboldens their reach to consumers much beyond their current locality. The application locates the vendors to which the consumers can navigate from the application itself. This application also caters to consumers by providing new experiences in distant localities whereby they can find the nearest vendor to them through the use of the application. We as a company cater to providing easy onboarding, deployment &amp; service to both vendors &amp; consumers. In this way, we ensure a fruitful experience for both sides of the experience
Crypto-Currencies Are Objects of Property Rights

‘Crypto-currencies are objects of property rights just as chairs are objects of property rights.’ There has been some controversy over this statement. With the rapid development and popularity of cryptocurrencies such as Bitcoin, the research and application of cryptocurrencies have exploded. Given that cryptocurrencies themselves are still evolving as innovative Internet financial products, it is necessary to first make a preliminary determination on the basic issues of what cryptocurrencies are and what their legal properties are, and this article will focus on whether cryptocurrencies are objects of property. This essay will primarily address the issue of whether or not bitcoins are considered property. We must first define the ideas and standards of property, such as definability, third-party identifiability, exclusivity, and competition, in order to ascertain the legal characteristics of cryptocurrencies. The legal status of cryptocurrencies will be determined by examining the structure, traits, and classification of property. In the end, it is found that most nations and regions also recognize cryptocurrencies as objects of property rights and that they usually have the property of things.
Türkiye’nin İstanbul Şehrindeki PV Panellerinin Optimum Eğim ve Yüzey Oryantasyon Açılarının Hesaplanması

Because of the shadow of high buildings and huge urban development that the world is witnessing, especially in the large cities such as Istanbul, this led to prevent taking advantage from a large part of the falling solar radiation, which led to finding alternative solutions for the purpose of benefiting from the falling solar radiation. Among these solutions is the adjusting solar panel at the optimum slope and orientation angle. So the purpose of this study is to determine the optimum slope and orientation angle for a photovoltaic panel in Istanbul (Turkey) with coordinate of (41° 1′ 0″ N, 28° 58′ 0″ E), latitude of (Ø = 41.0167), and explain the effect of azimuth angle on the optimum slope angle of solar radiation on the photovoltaic panel. A mathematical model was developed by Klein and Theilacker to determine any surface azimuth angle (ϒ) was used to estimate the total solar radiation on the slope photovoltaic panel surface, also Liu – Jordan model was used for calculating the optimum tilt angle for south face direction and then comparison results with two models. In our study we used a Microsoft Excel spreadsheet to determine optimum slope (β) and azimuth (orientation) (ϒ) surface angles for any city only by changing the coordinate and horizontal solar radiation of the selected city. For calculation purposes, horizontal solar radiation data for the city of Istanbul was obtained from the prediction of worldwide energy resources (power) by NASA. The optimum tilt (β) and azimuth (ϒ) angles were determined by searching for the values of angles for which the total radiation on the PV surface was maximum throughout the year. And for the specific azimuth angle (ϒ) changes from (0 to 90) degree It is found that the optimum tilt angle (β) should be changed to observe the maximum solar radiation. The annual maximum solar radiation in Istanbul city for azimuth angle greater than 0o was 6033 Mj/m2 at azimuth angle equal to 10o and tilt angle equal to 30o.
Student Awareness of Disaster Risk Reduction and Management of a Private Higher Education Institution

Disaster risk reduction and management is the concern, particularly in schools. One must be aware of the various indicators surrounding this very important phenomenon. In this study, the researchers endeavored to surface students’ level of awareness of the DRRM indicators. The approach was quantitative, and the research methods were descriptive and comparative. The technique in gathering data was through a questionnaire administered via Google form. The study was conducted in the college department of Saint Mary’s University with 495 participants. The study recorded more female respondents coming from the four schools of SMU, and most respondents were those who did not have any DRRM-related organization. The findings showed a good level of awareness of disaster risk reduction. However, as evidenced by the lower mean ratings in human resources, programs and activities, and structural resilience, it could be concluded that some students are not aware of some of the standards and protocols of local and national DRR programs and activities. It was also found that regardless of Sex and School, respondents’ awareness of disaster and its programs do not vary that much. However, DRRM-related organizations could be considered a factor that affects the perception of students’ level of awareness of DRRM programs and activities. Moreover, students’ perceptions do not vary when compared across the seven DRRM indicators.
DIAGNOSTIC ACCURACY OF CONTRAST-ENHANCED ULTRASOUND TO DIFFERENTIATE BENIGN AND MALIGNANT BREAST LESIONS

Cancer of the breast is caused by a cluster of abnormal breast cells that continue to divide and spread throughout the breast. These cells eventually aggregate as a lump in the affected breast. If the cancerous tumor is not treated, the cancer cells may spread to other areas of the body through a process known as metastasis. A metastasis may develop in the lymph nodes located in the axilla or those located above the scapula. In addition, cancer cells have the ability to colonize the bones, lungs, liver, skin, and even the space directly under the skin. Cancer of the breast tissue is a malignancy that can start from either the ductal or lobule epithelium of the breast. Breast cancer is the most common kind of cancer in women. The ability of ultrasonography to identify cystic masses is one of the technology's many strengths. According to BIRADS, the American College of Radiology has also developed a standardized language for the reading and reporting of ultrasounds, which is quite similar to the language used for mammography. Shape of the mass, borders, orientation, kind of posterior acoustic, lesion boundaries, and echo pattern were the characteristics that were described. CEUS is an imaging technology that evaluates breast lesions by analyzing their qualitative qualities as well as their quantitative aspects. The detection of lymphatic channels and sentinel lymph nodes can be done using this method, and it is practical and effective.
DDFP:A data driven filter pruning method with pruning compensation

Neural network pruning techniques can be effective in accelerating neural network models, making it possible to deploy them on edge devices. In this paper, we propose to prune neural networks using data variance. Unlike other existing methods, this method is somewhat robust and does not invalidate our criteria depending on the number of data batches and the number of training sessions. We also propose a pruning compensation technique. This technique fuses the pruned convolutional information into the remaining convolutional kernel close to it. This fusion operation can effectively help retain the pruned information. We evaluate the proposed method on a number of standard datasets and compare it with several current state-of-the-art methods. Our method always achieves better performance. For example, on Tiny ImageNet, our method can prune 54.2% FLOPs of ResNet50 while obtaining a 0.22% accuracy improvement.
Digital technology and artificial intelligence issues in scientific works

The article presents the results of a study to identify trends in the coverage of digital technology and artificial intelligence in scientific papers. Semantic units reflecting aspects of digitalization, artificial intelligence, augmented reality are revealed. The main semantic units, reflecting different aspects of the research field are digitalization; artificial intelligence (additional semantic units: knowledge representation, theorem proving, computer vision, robotics, machine learning, multi-agent systems, artificial intelligence tools); neural networks (additional semantic units: learning with a teacher, learning without a teacher, input data); strong or general artificial intelligence, weak or applied artificial intelligence; Marusya voice assistant, Alisa voice assistant, Siri voice assistant, Bixby voice assistant, Google Assistant; speech recognition, fingerprint recognition, human face identification. Quantitative changes in the coverage of digital technologies, artificial intelligence, augmented reality elements in scientific papers of scientists for the period from 2016 to 2021 are presented and graphically visualized. The analysis of quantitative characteristics of materials and content component of semantic units on the indicated theme is given. The subject of the study is the publications of Russian and foreign authors, dealing with the issues of digitalization and artificial intelligence, included in the database of the Russian Institute of Scientific and Technical Information of the Russian Academy of Sciences (VINITI RAS) for the period from 2016 to 2021.
A New Interpretation of Chopin’s Piano Music Through Performance of the Second Piano Sonata on Pleyel and Erard Fortepianos and on a Modern Piano

I explored different approaches to performing Chopin’s Second Piano Sonata using my experience of playing on two period instruments: an original Pleyel 1848 grand fortepiano (known to have been played by Chopin) and an original Erard 1845 grand fortepiano. I considered how my experience of these instruments generated new knowledge which then informed my approach to performing the piece on a modern piano. This article is not intended to encourage pianists to imitate or copy my performance on historical instruments, but to re-discover period instruments in a new context and develop the ideas and perception gained from them to transform approaches to interpretation on modern pianos.I first examined the differences between the Pleyel and Erard instruments, and how the characteristics of the two fortepianos are affected by their different mechanical features. I explain why these differences occur and how they affect performers, and this is connected to the famous statement by Chopin comparing Pleyel and Erard fortepianos.Examining the Pleyel and Erard fortepianos and comparing historical and modern instruments from the perspective of being a concert pianist myself, this research revealed how pianists can bring out a singing quality in performance on percussive keyboard instruments. Experimenting with the Pleyel and Erard fortepianos has expanded my view of how to listen to the sound, with consequences for the management of specific dimensions and for my approach to modern pianos.
Logical conditions in programming languages: review, discussion and generalization

Boolean logic is widely used in almost every discipline including linguistics, philosophy, mathematics, computer science and engineering.Boolean logic is characterized by the two possible truth values, and various logical connectives/operations allow us to make compound statements, conditions.Most of the programming languages, if not all, have some of the logic operations: conjunction, disjunction and negation.Actually, since the set of these three operations form a basis, any logical statement can be formed by them.However, on the one hand, there are smaller bases as well, i.e., one of the conjunction or disjunction is already superfluous.Moreover, there are bases with only one operation, e.g., by NAND.On the other hand, one may allow other operations helping the programmer/user to define the conditions of conditional statements and loops in a simpler manner.In this paper we
Analysis and Comparison of Image Enhancement Techniques for Improving PSNR of Liver Images by Median Filtering over Mask Filtering

Aim: The goal of this research is to employ median filters and mask filters to reduce noise in liver images so that they can be improved. In addition, the Peak Signal to Noise Ratio of both filters’ outputs was examined (PSNR). Materials and Methods: The afflicted and normal liver photos were obtained from the Kaggle website for this investigation. Then, using Matlab software, the mask filtering and median filtering algorithms were run. Clinicalc. com was used to compute sample size, and SPSS software was used to conduct the comparative analysis. This study has two groups, each with a sample size of 20 people with an average G power of 80%. The innovative median filter’s performance is assessed, and the PSNR performance metric is compared to that of the mask filter. Results: The PSNR of innovative median filters is 64.0310, while mask filters have a PSNR of 78.0095, according to Matlab simulation data. The significant value of PSNR (Peak Signal to Noise Ratio) (0.409) and p&gt;0.05 was found in the statistical analysis. Conclusion: The innovative median filter delivers greater PSNR than the mask filter for medical image enhancement on ultrasound liver pictures, according to this study.
Cost efficient oxygen concentrator with PSA technology

Normally atmospheric air contains mixture of gases like nitrogen (78%), oxygen (21%), and small amount of lot of other gases like carbon-di-oxide (0.03%), hydrogen. Oxygen concentrator is a device that concentrate (or) separate oxygen from ambient air by specifically removing nitrogen by process of Pressure Swing Adsorption (PSA). Pressure Swing Adsorption is a technique that separate oxygen from a mixture of gases depending on pressure to which molecular characteristics and affinity for a zeolite (Natrolite). The proposed output of Oxygen concentrator with Pressure Swing Adsorption technology is economical and high-efficient. The experimental results of the proposed system supplied the oxygen at the purity of about 94.7% for the low velocities of 0.5-3 L/min. It is concluded that the system provides a good performance when considered that a patient with the COPD should take the oxygen at the purity of 90% or more for the low velocities of 0.5-3 L/min. On comparing with other oxygen concentrator available in the market, this proposed system is highly cost effective and comparatively lesser in weight. As per the experiments conducted using the proposed system provides comparatively less noise and works efficiently for long time and oxygen purity is also high. Since, this proposed system has these many features. This is so much helpful for peoples who can’t able to afford market available oxygen concentrator.
ANALYSIS OF PHONOLOGICAL ERRORS IN FIRST SEMESTER STUDENTS IN PERFORMING SELF INTRODUCTION A CASE STUDY IN INSTITUTE LEVEL

Some problems have emerged related to the phonological errors made by the first semester students in delivering their speaking performance. This research is intended to analyze the phonological error in the first semester students in performing self-introduction. This study used qualitative research method particularly in terms of English phonology that focus on observing and analyzing the observation of English-speaking skill. In this research, the collected data were in the form of transcripts of the video-recorded performance that performed by the subjects of research. It is concluded that most students showed several phonological errors in pronouncing some words. All students of the first semester have successfully performed their self-introduction fluently and accurately based on the basic self-introduction pattern. The result of the study showed that the emergence of various variations in the accuracy of phonology is mainly due to the previous educational background and the students’ current efforts in learning language. However, most students of first semester did phonological errors in pronouncing several words. In order to speak English fluently and accurately, it is expected that the students learn about English phonology well by considering the appropriate place of articulation and manner of articulation.
Educación: impacto en el desarrollo y progreso de la sociedad

Society is a group of people who live with each other in the same space sharing the same culture or common aspects in it develop various types of people as well as skills along with knowledge which have a relevant impact on their growth, so the importance of a system that serves as a guide for the development of skills through learning and teaching has become In something very relevant and therefore education that serves for the formation of people as well as allows to instill various values as well as an adequate way to behave towards others has had a positive impact on social development, since education has a great influence on the progress of people which is reflected in the progress of society. The objective of the research presented will describe how education has generated various changes in the progress of society, as well as in its development, due to the great impact of education for the teaching and learning of people.
Unmasking Deepfakes Based on Deep Learning and Noise Residuals

The main reason for the emergence of a deepfake (deep learning and fake) term is the evolution in artificial intelligence techniques, especially deep learning. Deep learning algorithms, which auto-solve problems when giving large sets of data, are used to swap faces in digital media to create fake media with a realistic appearance. To increase the accuracy of distinguishing a real video from fake one, a new model has been developed based on deep learning and noise residuals. By using Steganalysis Rich Model (SRM) filters, we can gather a low-level noise map that is used as input to a light Convolution neural network (CNN) to classify a real face from fake one. The results of our work show that the training accuracy of the CNN model can be significantly enhanced by using noise residuals instead of RGB pixels. Compared to alternative methods, the advantages of our method include higher detection accuracy, lowest training time, a fewer number of layers and parameters. Index Terms— Deepfake, Deep Learning, Steganalysis Rich Model, Convolution Neural Network.
Internal governance structure and characteristics of private colleges and universities - Based on the analysis of constitution of 7 private universities in Zhejiang Province

By combing the constitution of 7 private colleges and universities in Zhejiang Province, this paper summarizes the law of internal governance of private colleges and universities, analyzes the structure and characteristics of internal governance of private colleges and universities, and puts forward some thoughts.