Reviewerly/exHarmony huggingface dataset:
Recognition of Solid Inorganic Substances and Crop Recommendation

Profound learning strategies are significantly respected in the exploration field of agribusiness. The farming variables climate, downpour, soil, pesticides, and manures are the really mindful angles to raise the creation of yields. The central fundamental key part of farming is Soil for crop developing. Assessment of soil is an imperative piece of soil resource the executives in cultivation. The fundamental objective of this work is to explore soil supplements using profound learning order strategies.Toanalyse the soil nutrients, the former need to go to the branch of Agriculture or Cooperation and Farmers Welfare. This work takes an areaofTamil Nadu in India to dissect the dirt supplements.Particular sort's dirt has an assorted assortment of enhancements. The dirt examination is particularly helpful for cultivators to find which kind of harvests to be created in a particular soil condition. This framework picks Nitrogen, Phosphorus, Potassium, Calcium, Magnesium, Sulphur, Iron, Zinc, etc, supplements for examining the dirt enhancements using the CRA approach of the Neural organization. The fundamental objective of this work is to examine soil supplements using profound learning order methods.
Classroom Attendance Scale Development and Validation Study

Classroom Attendance Scale (CAS) was prepared with 14 items.Prepared CAS consisted of items with likert type.Sample of the study for the exploratory factor analysis consisted of 318 college students who were studying at education faculty at science education and primary education programs along with students studying at engineering faculty.Principal axis factoring with orthogonal rotation (varimax) was used for exploratory factor analysis.Factor eigenvalues were obtained and corrected-item total correlations analyzed.Items which did not serve the purpose of scale were omitted from CAS.Thus, analyses with same procedure were reconducted several times until reaching to a final version of the CAS.Obtained factors were crosschecked with Monte Carlo Parallel Analysis Simulations.A confirmatory factor analysis with Maximum Likelihood was applied to a different sample (N=229) and CAS is approved by most common fit indices values.Total sample of the study consists of 547 participants.Finalized CAS consisted of 8 items and scale's Cronbach's alpha value was .923.
Cross-view Image Geo-Localization using Multi-Scale Generalized Pooling with Attention Mechanism

Cross-view image matching for geo-localization is the task of finding images containing the same geographic target across different platforms.This task has drawn significant attention due to its vast applications in UAV's selflocalization and navigation.Given a query image from UAV-view, a matching model can find the same georeferenced satellite image from the database, which can be used later to precisely locate the UAV's current position.Many studies have achieved high accuracy on existing datasets, but they can be further improved by combining different feature processing methods.Inspired by previous studies, in this paper, we proposed a new strategy by using a channel-based attention mechanism with a generalized mean pooling method to enhance the feature extracting process, which improved accuracy.
Web Auto Configuration for N-Tier in VM based Dynamic Environment by Reinforcement Learning Approach: A Study

In Web system, configuration is the crucial part to achieve performance with service availability. Now in days, because of dynamics web traffic, virtualization is the key factor. How to handle required resources is a challenging task in virtual environment. Apply optimize configurations for different servers as per available resources is a tedious task to achieve high throughput with low latency. In this paper we have described the studied methodology of machine learning, which will guide how optimize all the parameters with the best results in terms of web usability.
Traditional Approaches to the Organization of Independent Work of Students

The problem and the goal. The problem of organizing independent work of students has now become even greater due to distance learning, since now it is necessary to revise and modernize the organization of the educational process. The purpose of the article analyze the opinions of various authors on the role of independent work in the learning process, compare their approaches. Methodology. The study was conducted on the basis of studying the modern educational environment. It is not easy to teach a student to study independently. To organize a full-fledged independent work, it is necessary: – Create favorable conditions for the organization of work. – Teach to set specific goals. The student knows what he should get from a large amount of information, what to pay attention to. – Teach you how to plan your work. If you do not follow a certain plan, you can spend a lot of time, but you will not achieve results. – Teach to choose the means of learning. The student should know what will help him better in acquiring knowledge on a specific topic. He doesn’t just have to review articles, videos, textbooks, you need to teach him to find meaningful information from certain sources. Analyzing the psychological and pedagogical literature, we understand that the concept of “Independent work” is revealed from different sides. The main thing for the teacher is to analyze all sides, choose the most optimal ones for himself, which are suitable for both the student and the teacher, which will be applied only in the interests of the student.
Features of practical training of students (future social teachers) at universities

The main purpose of the article is to study the features and prospects of practical training of students (future social teachers) at universities. At the present stage, pedagogical education in each country, while maintaining the acquired national experience, is being reformed and is gradually entering the world educational space. The training of specialists for the socio-pedagogical sphere at universities began relatively recently. In this regard, and the specifics of the process of formation and development of the profession, the practical training of social teachers is focused on the formation of the necessary professional skills, the formation of sustainable motivation for active professional activity. In the process of professional growth and development of the competence of a social pedagogue, socio-pedagogical practice is inferior in its significance, perhaps, only directly to the practical activity itself. This type of practical training, along with the theoretical aspects of training, provides the student-trainee not only with practical skills, but also with individual, long-term consultations - conversations with a mentor. As a result of the study, the main aspects of the practical training of students (future social teachers) at universities were identified.
Image Encryption Algorithm Based on Image Block and Double Diffusion

Due to the sensitivity and unpredictability of chaos to the initial value, chaos mapping is widely used in the field of image encryption. In this paper an image encryption algorithm based on image block and double diffusion is presented. The algorithm adopts the structure of permutation-diffusion-block diffusion, which can encrypt the image in only one round, and the security is high. On this basis, a fast diffusion algorithm with row and column simultaneous diffusion is proposed, and a block diffusion algorithm using the previous pixel to influence the current pixel is designed. The SHA-256 algorithm and cipher image are used to update the initial values and parameters of the chaotic system, which enhances the ability of the algorithm to resist the chosen plaintext attack. Experimental results and encryption performance analysis show that the algorithm runs fast and has high security.
PENINGKATAN KEMAMPUAN BAHASA INGGRIS BIDANG PARIWISATA UNTUK GURU SMK PUTIKECWARA BATU

This community service aims to accommodate the needs of tourism vocational school teachers in improving English language skills, especially English for hospitality and tourism industry through online English language training. The participants are tourism English teachers at SMK Putikecwara Batu. This activity is expected to improve the quality of learning at the SMK Putikecwara Batu through improving the English language skills of the teachers, which will then be implemented in the classroom and help students improve their English language skills in the tourism sector, especially hospitality and tourism industry. This activity is carried out in four stages, namely planning (to determine the number of participants who will be involved and the materials needed in the training), surveys to schools (to ensure that the plans made are in accordance with the needs), training implementation, and evaluation (giving questionnaires to the participants related to the implementation and training materials).
Enhanced Mammography image for Breast cancer detection using LC-CLAHE technique

Breast cancer is the greatest challenging health complexities that medical science is facing. Most cases can be prevented by early detection and diagnosis which are the best way to cure breast cancer to decrease the mortality rate. The aim of this research is to obtain a method for enhancing the mammography images by using the proposed method which is incorporating the Local Contrast with Contrast Limited Adaptive Histogram Equalization (LC-CLAHE) to improve the appearance and to increase the contrast of the image and then de-noised by 2D wiener filter techniques. To extract the region of interest (tumor), we used region growing technique for the segmentation process. The standard Mammographic Image Analysis Society (MIAS) database images are considered for the evaluation. Efficiency is measured by Root Mean Square Error (RMSE) and Peak Signal to Noise Ratio (PSNR). It is observed that the proposed method with wiener filter gives higher (PSNR) and lower (RMSE), with a significant filter mask [3 3].
The Rules of Constructive Logicism

This chapter states and explains all the formal rules of inference that are involved in the Constructive Logicist account of the natural numbers. Natural-deduction rules of introduction and elimination govern the primitives 0, <italic>s</italic>, and #, as well as various pasigraphs (such as <italic>Nx,</italic> for ‘<italic>x</italic> is a natural number’) that are inferentially definable in terms of the primitives. We set out important inferences about 1‒1 mappings, and define ancestrals of one-place functions by means of special introduction and elimination rules. The ancestral of the successor function affords a definition of <italic>Nx</italic>. All the reasoning involving these notions, by means of these rules, will be both constructive and relevant.
Reviews

The Art and Science of Seismic Interpretation, by Christopher Liner and Thomas McGilvery, ISBN 978-3-030-03996-7, 2019, Springer, 116 p. Satellite Gravimetry and the Solid Earth — Mathematical Foundations, by Mehdi Eshagh, ISBN 978-0-12-816936-0, 2020, Elsevier, 486 p.
Phishing and Sybil Enhanced Behavior Processing and Footprint Algorithms in Vehicular Ad Hoc Network

Communication between vehicles is the core of VANETs, which are built on notions of mobile ad hoc networks (MANETs). Each car on the network is now seen as a mobile network node. All participating cars become wireless routers or nodes, depending on your viewpoint. VANET creates a huge network with a long-range by connecting all cars within range to a fixed unit. VANET assists with traffic regulation, communication between vehicles and the sharing of road data. There is a possibility that the VANET network could be compromised by identity and information concerns, resulting in data delays or theft. Attacks like Sybil and phishing are possible because of this network's weakness. Due to the two recent strikes, infrastructure and human lives may be in jeopardy. There are two novel algorithms developed by the authors to tackle Sybil and Phishing assaults on VANET networks: Phishing and Sybil Enhanced Behavior Processing and Footprints (P&amp;SEBP&amp;F). Originally known as the Phishing and Sybil Enhanced Behavior Processing and Footprint, P&amp;STL&amp;T was renamed P&amp;STL&amp;T. Phishing and Sybil were used as well as varied attacker-to-victim node ratios to test the effectiveness of the new tactics for assessing effectiveness. Compared to previous study and the work of the other authors cited, there were approximately 30% fewer attackers detected during the research.
Music Recommendation System Driven by Facial Expression Recognition

This paper reports on modifications to our previously proposed music recommendation system to include a method by which users interact with the system via facial expressions.More specifically, by presenting either happy or neutral facial expressions to a personified agent, the user informs the system of his or her opinion regarding the song being played.A happy facial expression means that he or she would enjoy listening to the song again, while a neutral facial expression means the opposite.
A 39-year Convective Systems database using the TOOCAN cloud tracking algorithm and METEOSAT thermal infrared archive&amp;#160;

&amp;lt;p&amp;gt;Mesoscale convective systems (MCs) are central to the water and energy cycle of the tropical region. Geostationary satellite observations can provide a useful resource to constraint theoretical and modelling perspectives of the convective systems. Thus, the MCS life cycle information can only be readily obtained using high frequency imagery available from the geostationary orbit. The METEOSAT series of satellites operated by EUMETSAT observe continuously the African and Atlantic region since more than 40 years and offer us the opportunity to improve our understanding of the MCS and to analyze their climatological trends over the region.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We will introduce a MCS database over the African and Atlantic regions built from the long-term thermal infrared METEOSAT first and second-generation archive and from a cloud tracking algorithm called TOOCAN spanning the 1981-2020 period.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The METEOSAT first and second-generation imagers exhibit some spectral window channels disparities, different temporal resolutions, and slight variability in the spatial resolution of the sensors. Moreover, the imagers of the early METEOSAT satellites were designed for qualitative analyses of weather patterns, and the quality of their data do not comply with climate requirements. Finally, the calibration procedure of each instrument is also performed at the individual level with instruments specifics mode of operation. The cloud tracking can be impacted by these various sources of inhomogeneity, and some technical specifications are then required to ensure the validity of the cloud-tracking and to build a 39-year homogenous MCS dataset.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;First, by using the multi-sensor infrared channel calibration (MSICC) algorithm relied on the IASI, AIRS and HIRS/2 as reference observations, an intercalibration and spectral band adjustment of the IR long-term database has been performed to reduce the METEOSAT sensors differences. The spatial resolution has been homogenized by remapping each METEOSAT native projection to a 0.04&amp;amp;#176; longitude-latitude equal-angle grid. A final effort has been performed to correct the limb darkening effect, and a careful quality control has been applied on each infrared image. The TOOCAN cloud tracking algorithm has then been applied to this homogenous long-term METEOSAT infrared dataset at a 30-min temporal frequency to build a 39-year tropical convective systems database giving an access to the morphological parameters of around 14&amp;amp;#215;10&amp;lt;sup&amp;gt;6&amp;lt;/sup&amp;gt; MCS along their life cycles.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Finally, we will present our preliminary analyses showing significant trends in MCS occurrence for different geographical regions.&amp;lt;/p&amp;gt;
New mapping of the Afar Depression: towards the better understanding of rift dynamics in a hotspot-influenced continental rift zone

&amp;lt;p&amp;gt;The Afar Depression forms a triple junction between three rift systems: the Red Sea Rift, the Gulf of Aden Rift and the Main Ethiopian Rift. Rifting began in the Oligocene after the eruption of the Ethiopian Flood Basalts. It represents a unique modern example of hotspot-influenced continental breakup. Its emerged position allows detailed field and remote sensing investigations. Important mapping efforts in the area during the 60s and 70s provided very valuable input for the understanding of the local geology but also for the development of global tectonic, volcanological and sedimentary concepts in continental rift settings.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This study presents the compilation of a new geological map which covers the complete Afar depression and includes its Phanerozoic sedimentary and magmatic cover. The map is based on extensive literature research, remote sensing and fieldwork. The geological history of the Afar Depression has also been reviewed. The map evidences the complexity of the rift system with the interaction of distinct tectonic plates, blocks, rift segments, sedimentary basins and volcanic areas that evolve through time and space. This integrative geological map and review is used to reassess and discuss aspects of the style, evolution, kinematics and dynamics of this rift system. Studying this unique modern example of active rifting will help in the better comprehension of rift processes and passive margin development worldwide.&amp;lt;/p&amp;gt;
Anonymous attribute-based designated verifier signature

An attribute-based signature (ABS), is a cryptographic scheme where someone can sign a message using any kind of predicates verified by the attributes he owns. For such scheme, it is expected to be impossible for users to collude to sign a message if none of them is originally able to sign the message on his own. The main advantage of such a solution is that the signer can remain anonymous in the set of users fulfilling the chosen predicate. It can then be used for anonymous authentication for instance. In this paper, our main contribution is a new designated verifier attribute based signature scheme. In other words, the signer is using his attributes to authenticate a message according to a predicate, and while doing so he can pick another policy such that only users owning attributes fulfilling this policy can check the validity of the signature. It can be used to extend anonymous authentication, ensuring that the designated verifier cannot prove to anyone that a valid authentication has been performed. In addition to classical anonymity, this also increases the privacy of users as no further statistics on valid connection can be deduced. To do so, we first propose a generic construction of this primitive using standard cryptographic building blocks. An instantiation of this primitive is then described and proved through security games under the Symmetric External Diffie–Hellman ( $$\textsf {SXDH}$$ ) assumption. This main contribution is compared to state-of-the-art solutions in terms of both security and efficiency.
Perforating the subject

Conlon Nancarrow's Studies for Player Piano, notated on perforated rolls and performed on automated instruments, are often thought of as purely formal, abstract works, given their technological manifestation and extreme rhythmic complexity. According to this interpretation, the studies are designed to—in Nancarrow's oft-cited words—‘[get] rid of the performers’, and thus, to eliminate from music the contingencies and frailties of the human body. This chapter suggests that despite this common perception, materiality and embodiment are central to Nancarrow's process of composition and notation. In particular, by closely examining the procedures of composition that Nancarrow employed—from his methods of sourcing and fixing keyboards and tools to the onerous physical task of punching holes on the paper—the chapter argues that piano rolls contain material traces of Nancarrow's and others' bodies. The relationships involved in the rolls' perforated notation also extend to include a web of non-human collaborators. Where Nicholas Cook argues that the scores of ‘New Complexity’ composers such as Brian Ferneyhough ‘embody a relational practice’ by scripting social interactions between performers, the chapter suggests that piano rolls configure similar interactions between non-performer participants. Nancarrow's post-human notation, then, does not reject the body but instead embraces and extends it in a resonant network of social relations.
Augmented Reality Application: Current status, opportunities, and challenges of Indonesian secondary education context.

This article aims to investigate the studies about the implementation Augmented Reality (AR) in Education, particularly to have a closer look at the opportunities and challenges of AR application in Indonesian educational context. Finding of this study were analyzed through a synthesis research. The current empirical studies related to AR implementation in education were descriptively analyzed, and carefully synthesized. AR is one of the emerging technologies which has a big promise on teaching and learning. This study reveals that AR may offer a meaningful and engaging learning experiences because AR based learning can provide critical thinking activity with problem solving tasks. Furthermore, well-designed AR may situate a collaborative learning which can enhance students’ positive behavior and attitude. However, this essay also reveals some limitations of AR application need to be taken into consideration, especially when it comes to technological and learning issues. Consequently, AR may not be the ideal solution for all learning settings, yet the ongoing development of AR technology on handheld mobile devices offers a big optimism for future learning. It is highly expected that the vast development of AR may positively influence learning and become more significant in the future.
Some Solutions To Improve The Practical Research Activities Of Lecturers Of The Department Of Foreign Languages And Informatics

Fieldwork is an important task of lecturers in People's Police University in order to raise awareness and professional skills, and help lecturers to combine theory and practice in a professional manner.During the teaching process, lecturers going on practical business trips are both rights, obligations and conditions for consideration and appointment of teaching titles.The field trip of the lecturer always plays an extremely important role, helping the lecturer gain a deeper understanding of professional activities in practice, collect documents and materials from which to bring "real breath".see" into his lecture.
SECURE FILE STORAGE IN CLOUD USING HYBRID CRYPTOGRAPHY

Cloud computing is originated from earlier large-scale distributed computing technology that can be rapidly provisioned and released with minimal management effort or service provider interaction. In Cloud computing, both software and files are not fully contained on the user’s computer. File security concerns arise because both program and user's applications are residing in provider premises. The cloud provider can solve this problem by encrypting the files using an encryption technique. File security model to provide an efficient solution for the basic problem of security in a cloud environment. To solve this concern encryption techniques like AES, DES and RSA are used. LSB steganography is also used to store the data. Keywords: - AES, DES, RSA, LSB steganography, cloud, cryptography