Reviewerly/exHarmony huggingface dataset:
LIFT the AV: Location InFerence aTtack on Autonomous Vehicle Camera Data

Connected and autonomous vehicles (CAVs) are one of the main representatives of cyber-physical systems (CPS), where the digital data generated in several forms, such as geolocation, distance, and camera data, are used for the physical functionality of the vehicles. The utility of these data, especially camera data for computer vision projects, has contributed to the advancement of high-performance cyber-physical applications. However, location inference attacks, which involve extracting knowledge from camera data to track and estimate user locations are potential privacy threats to AV-generated camera data. In this paper, we propose LIFT (Location InFerence aTtack), a robust geo-localisation technique to exploit subjects' location privacy in a distorted GAN-based (Generative Adversarial Network) camera dataset. LIFT improves image matching of distorted query images by formulating a distinctive image nearest neighbour selection with the scale-invariant feature technique (SIFT) for feature detection and optimised pairwise clustering technique. We evaluate the performance of LIFT on the 200k Google street-view data as the reference data and 500 distorted image data (using the data generated from the Auto-Driving GAN technique) as test query data. We show that the localisation accuracy of LIFT outperforms the benchmark techniques by 20%.
Applying Short Text Topic Models to Instant Messaging Communication of Software Developers

When modeling topics from chat messages of developer instant messaging communication, individual chat messages are short text documents. Our study aims at understanding how short text topic models perform with conversations from developer instant messaging. Therefore, we applied four models to three Gitter chat rooms (one with ≈100 messages, one with ≈9,400 messages, one with ≈160,000 messages). To assess the quality of topics and identify the best performing models, we compared topics based on four metrics for topic coherence and two human-based assessments: intrusion tasks with 18 experts analyzing 40 topics each, and topic naming (assigning a name to a topic that summarizes its main concept) with eight additional experts naming 60 topics each. Models performed differently in terms of coherence metrics and human assessment depending on the corpus (small, medium or large chat room). Our findings offer recommendations for the selection and use of short text topic models with developer chat messages based on characteristics of models and their performance with different sizes of corpora, and based on different strategies to assess topic quality.
Vision Enhancement of Single Foggy Image using CNN

Fog removal from a single foggy scene is a tedious piece of work. Some of the existing methodologies are based on various constraints and assumptions to evaluate fog free image or defog image. Recent researchers have applied deep neural network algorithms to calculate defog image. Motivated by the recent works, this paper aims to estimate fog free image entrenched on Convolutional Neural Network (CNN). Different haze relevant features are learned using deep architecture of CNN. Using these extracted features, final defog image has been estimated. Results are compared with the existing methodologies for analysis purpose as well.
A risk prediction method for electric power customers' demands by text mining technology

The current decision tree based electric power customer demand risk prediction method has low prediction accuracy due to the lack of effective extraction of demand features. In this regard, a risk prediction method for electric power customer claims oriented to text mining technology is proposed. Text mining technology is used to extract features from the demand data and perform text clustering analysis. The extracted data are coded and normalized to build a risk prediction model for electric power customers' demands. In the experiments, the proposed risk prediction method is verified for prediction accuracy, and the analysis of the experimental results shows that the proposed method is used to construct the risk prediction model of electric power customers' demands, which has high prediction accuracy.
TRMV: The innovation design of asymmetric multivibrator in transistors with adjustable frequency for commercial electronic devices

In general, there are many multivibrator circuits, but the most popular and discussed is the transient balanced multivibrator circuit. She is usually depicted this way. For example, I melted this multivibrator flasher somewhere from upgraded parts a year ago, and as you can see, it flashes. Clumsy wiring on the prototype board also blinks. The voltage across the transistor rises to nearly the voltage of the power supply and then drops to zero. This suggests that the transistors in this circuit are operating in a key mode. A transistorized multivibrator is a square wave generator and an oscillogram of a symmetrical multiple vibrations. A symmetrical multivibrator generates rectangular pulses with two duty cycles. Read more about duty cycle in the article Frequency Generator. Let's use the working principle of symmetric multivibrator to drive LEDs. The values of the collector resistors are insignificant, but they affect the frequency of the multivibrator. This is complete nonsense! In the correct calculation of the multivibrator, the deviation of the values of these resistors from the calculated one by more than five times will not change the frequency of the multivibrator. The main thing is that their resistance should be lower than the base resistors because the collector resistors provide faster charging of the capacitors.
A Comprehensive Review of Feature Selection and Feature Selection Stability in Machine Learning

Feature selection is a dimension reduction technique used to select features that are relevant to machine learning tasks. Reducing the dataset size by eliminating redundant and irrelevant features plays a pivotal role in increasing the performance of machine learning algorithms, speeding up the learning process, and building simple models. The apparent need for feature selection has aroused considerable interest amongst researchers and has caused feature selection to find a wide range of application domains including text mining, pattern recognition, cybersecurity, bioinformatics, and big data. As a result, over the years, a substantial amount of literature has been published on feature selection and a wide variety of feature selection methods have been proposed. The quality of feature selection algorithms is measured not only by evaluating the quality of the models built using the features they select, or by the clustering tendencies of the features they select, but also by their stability. Therefore, this study focused on feature selection and feature selection stability. In the pages that follow, general concepts and methods of feature selection, feature selection stability, stability measures, and reasons and solutions for instability are discussed.
Performance «In the garden of light» by works of g. skovoroda in kiev theater «mist»: semantic concepts, musical and dramatic decision

Purpose of the article is to research the role of music in the play «In the Garden of Light»by works of G. Skovoroda in Kiev Theater «MIST» and its links with major concepts of action.Methodology. In research, the methodology was used the historical-cultural approach as well asmethods of analysis, comparisons, and synthesis. These methods allowed considering music in itsrelations with the main ideas of the play. Scientific novelty. First the play «In the Garden of Light»is being studied from the standpoint of the unity of dramatic action and music in connection withBaroque atmosphere and aesthetics. Music now is introduced in scientific usage and composeorganic whole with the play. There are works of the Baroque period, vocal and vocal-instrumentalworks in the audio recordings, and tunes of Ukrainian folk instruments. Conclusions. Semanticconcepts of the play are inextricably linked with the music. Music accompanies the action, conveysthe atmosphere of the Baroque period, shows the emotional and sensual state of characters, soundssemantic action counterpoint, organizes metro rhythm of acting plastic and brings the humor tosome of the scenes.Key words: Ukrainian Baroque, play, baroque drama, concept, happiness, monody, cant
Vedda Rosen’s life-creativity as the factor of development of the musical space of Chernihiv region

The purpose of the article the coverage of the stages of the life of pianist, laureate of the international competition, Associate Professor at Nizhyn Mykola Gogol State University Vedda Rosen, determine its contribution to the development of the musical space of Chernihiv region second half of the 20th century. In the field of view of the author – the study of performing and pedagogical activities by V. Rosen of the period of the late 1950s–early 2000s in the context of the development of the artistic phenomenon of the Nizhyn as one of the cultural centers of Chernihiv region. The methodology of the article is based on historical and chronological, source studies, logical and generalizing methods for analyzing periodical sources, studying the creative biography of V. Rosen, identifying the influence of her performing and musical-pedagogical activities on the development of the musical space of Chernihiv region. The scientific novelty of the publication is the first in the Ukrainian musicology study of the life creation of V. Rosen as one of the outstanding artists of the Chernihiv region, the founder of the musical traditions of the region in the second half of the 20th century. Conclusions. The results of the study allowed us to conclude that V. Rosen for half a century played an important role in the development of the musical space of the Chernihiv region, presented the musical achievements of the region, in particular, in the field of piano culture in Ukraine and abroad. Beginning in the 1980s, V. Rosen and her students became the first representatives of the musical culture of the Chernihiv region to win the title of winners of national and international competitions. The study of the activities of leading artists of the Chernihiv region in the second half of the 20th century, carried out by the author of the article, showed that V. Rosen became the first artist of the Chernihiv region, which organically combined performing, pedagogical and scientific-methodical work. This allowed her to achieve significant results in performing, cultural, educational and pedagogical activities, to involve in piano art a significant number of future secondary school teachers – representatives of the region's intelligentsia, to become one of the prominent figures of music life of the Chernihiv region in the second half of the 20th century.
Listening and performing music as an interactive reflective process

The purpose of the article is to determine the ways of activating the development of perception of modern music on the basis of effective assimilation of new musical material by students and preparing them for independent mastering of modern music. Methodology. To solve the tasks, theoretical and empirical methods were used, including analysis - synthesis, induction - deduction, classification - generalization, pedagogical observation, conversation, analysis of the results of educational and creative activities. The relevance of the work lies in its compliance with the modern requirements of national art and education, namely, in overcoming the stereotype of musical thinking, which is an urgent task of modern music education. The object of the research is the process of professional training of students. The process of developing the perception of modern music, the formation of reflexive skills in the process of training a guitarist. Scientific novelty. This work is an illumination of the results of one's own experience in the development of reflexive skills of future teachers in the "guitar" class based on the analysis of performing and research activities. Conclusions. Thus, we can confidently assert that in the process of teaching and educating students of music colleges or universities, the development of their creative activity plays one of the leading roles, because the art of music is impossible without creativity in all its manifestations. Knowledge only becomes full-fledged when it is acquired not only through the efforts of memory but also with the participation of creative thinking. The training of specialists requires more significant consideration of the individual characteristics of students and attention to their development and the formation of a creative personality in the classroom in the specialty. Activation of thinking should be aimed at teaching thinking, working creatively, developing students' individual skills in acquiring knowledge.
Notion "collections" and "spectral type" in creative activity S.Kusevickij

The purpose of the article given studies is a separation of specifics intersection to activitywork of S.Kusevickij, beside which creative method his compositor style, noted by relationsymbolism eclectics, has determined projections on collection his performance, manager,organizing-propagandistic, etc. activity, differentiation integer which is indicated by term «spectraltype», in development of the ideas universality of creative personality XX century, declared "systemLeonardo da Vinci" P.Valéry. Methodology of the work is intonation approach of the schoolB.Asafiev in Ukraine with inherent him linguistics- culturology aspect of the interpretationmusicology method, with handhold on analyst-structured principle and handhold on comparativestylistic features, hermeneutics-interpretation foreshortening of the music semiotics " intonationdictionary of the epoch" on Asafiev and further developments in work A.Sokol, E. Markova andothers. Scientific novelty of the work is determined by originality of the taxonomic approach tofeature of the total creative look S.Kusevickij, beside which symbolism artistic principle, used instyle elements his contrabass Concerto, has determined structured analogies to «eclectic»installation joinings to activity work, inadmissible in epoch of the romanticism, but nature of suchjoining by noted term «spectral type». Conclusions. Creative-confirming line of Kusevickij-actor,contrabassist and conductor, subordinated presentations in performance work alternativesclassicists and modernist style that is combined in most corporeality of the bass viol, forms line of«counterpoint» to his mercantile-organizing work, which has taken the forms («spectrum» devicetheatrical enterprises, contest, publishing, fund and the other structures, called to create vital security and author, and in accordance with a partner on base commercial priority. Spectral type inmanifestations of universality by S. Kusevickij have defined the person of the sort «parcel eclectic»of facilities of the expression in compositions of the Concerto for contrabass by facility of theinadequate refraction in instrumental corporeality "in morsels" presented of the style models inthemes and composition decision; said allows to confirm combinatorial typicalness of Concerto asprojections spectral universality of the thinking determinations of the actor-manager.Key words: spectral universalism of activity, symbolism, stylistic eclecticism, instrumentalmateriality of double bass, style in music.
Retraction: An enhanced approach for object detection using wavelet based neural network (J. Phys.: Conf. Ser. 1228 012032)

"An enhanced approach for object detection using wavelet based neural network" G Krishnaveni et al 2019 J. Phys.: Conf. Ser. 1228 012032 This article has been retracted by IOP Publishing following an allegation that this article may contain Tortured Phrases [1]. IOP Publishing has investigated in line with the COPE guidelines and have found the article contains unconventional terms which has no significant relevance to the text and agree this article should be retracted [2]. The authors neither agree/ disagree to this retraction. [1] https://pubpeer.com/publications/7230059442B0F84837F609653030C9 [2] G Krishnaveni et al 2019 J. Phys.: Conf. Ser. 1228 012032 Retraction published: 17 March 2023
Private Censorship, Disinformation and the First Amendment: Rethinking Online Platforms Regulation in the Era of a Global Pandemic

The proliferation of online disinformation and the rise of private censorship are paradigmatic examples of the challenges to traditional First Amendment jurisprudence in an algorithmic society. The limitations of traditional First Amendment jurisprudence are amplified by the impact of the COVID-19 pandemic in two ways. On the one hand, in the wake of the pandemic, we have entered an “infodemic” era where the volume of disinformation, as well as the harm it causes have reached unprecedented levels. For example, health disinformation has contributed to vaccine hesitancy. On the other hand, even though the proliferation of online disinformation seems to suggest that it is desirable to enforce content moderation more rigorously, the pandemic has also revealed the importance of access to online information, raising concerns about censorship imposed by private platforms on social media users. Furthermore, the high degree of opacity and unpredictability of content moderation pose great danger to users’ First Amendment right. In light of the above consideration, this Note proposes a legal framework that would curtail online disinformation while ensuring users’ right to accessing online platforms. To achieve this goal, this Note argues that the First Amendment should be interpreted as not merely a negative right but also a positive right. That is, the traditional laissez-faire First Amendment jurisprudence, which considers public actors as the sole threat to freedom of speech and neglects the power asymmetry between private platforms and their users, should be rejected. The underlying principle of the positive approach is to design a regulatory regime that is least restrictive and fosters accountability and transparency in content moderation by introducing procedural requirements. In this regard, the recently introduced Digital Services Act in the European Union—which represents a paradigmatic shift from interpreting freedom of speech as a “negative right” (i.e., protecting users from government interferences) to a “positive right” (i.e., ensuring the government provides users with sufficient procedural safeguards to check against private platforms)—could provide some important lessons for the U.S. to reconstruct its online platforms regulation in the era of an algorithmic society.
Multi-agent working together based on the improved k-means

Aiming at the composition analysis and identification methods of ancient glass products, this paper proposes a clustering method based on Topsis and K-means. It uses the Topsis method to divide the subcategories of ancient glass based on K-Means unsupervised classification. Among the high- potassium glass types, the composite score index of silica (SiO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> ), potassium oxide (K <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O), alumina (Al <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> ), and calcium oxide (CaO) was higher. Among the lead-barium glass types, the composite score index of silica (SiO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> ), lead oxide (PbO), barium oxide (BaO), and phosphorus pentoxide (P <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">5</inf> ) was higher. The top four elements with the total score were selected, k-means clustering was used to subclassify ancient glass artifacts, and the model’s sensitivity was well-known by linear regression. It points out a new method of analyzing and identifying glass products, which is of great significance for investigating the exchange and dissemination of ancient glass objects and technologies.
Analysing the Impact of Modern Devices and Technology on People’s Relationships

In this modern era, the use of modern devices and technology is a highly essential element to leading daily lives. Nowadays people cannot imagine a world without technology and modern devices as they are used to these tools. This study investigates the impact of modern devices and technology on people’s relationships. In this modern world, people are surrounded by technologies, and every single activity is connected to modern devices. Besides this, with the possibility of doing everything with a few clicks, human and machine interaction has become increased. In order to conduct this research paper the researcher has selected the right research tools such as an exploratory research design, inductive research approach, and interpretivism research philosophy. In addition, “qualitative data” has been identified as the best option for gathering the data and information related to the research topic. Along with this, a “thematic analysis” has been used to interpret the collected data in a comprehensible way. Nevertheless, this research paper can assist the readers to identify the actual knowledge about modern devices and technology and their effect on people’s relationships in this present world. Keyword : Automation, Improvement, Modern Device, Modern Technology, People’s Relationship.
HEAVY METAL CONTAMINATED WATER APPLICATION AND HOW IT AFFECTS SOIL AND PLANTS THROUGH PHYTOREMEDIATION

Water is increasingly being applied for irrigation in vegetable cultivation in the peri-urban zones of rapidly rising cities. Wastewater being used by Farmers is heavily polluted with poisonous heavy metals as a result of industrial discharge and other human activities. As a result, long-term wastewater application is detrimental to soil and vegetable health. The current study looked at the heavy metal concentration (As, Cd, Cr, Hg, and Pb) in agricultural soil, water, and vegetable samples. Heavy metals are the high-density content and not easily accumulated in the soil and water. these metals are dissolved in soil through anthropogenic processes, like humans are using the metals like mercury in lab and after the use they dispose these metal on the soil surface. When these metals are put on the soil surface they decompose and leach into the soil subsurface layer after that they percolate into groundwater.
Determination the values of Ultra Violet Radiation intensity at Ulaanbaatar

The methods and primary results of the Ultra Violet Radiation investigation from measurement data of integral solar radiation at Ulaanbaatar. Solar radiation measurements were performed with the help of thermoelectric actinometer AT-50 and pyranometer M-80. For the calculation of Ultra violet radiation has been used the simpled model of the Earth atmosphere developed by V.A. Belinsky. Using thse data we calculated the values of direct, diffised and global Ultra Violet Radiation.