Hasil untuk "Modern"

Yue Guan, Yuanwei Fang, Keren Zhou et al.

In this work, we propose KPerfIR, a novel multilevel compiler-centric infrastructure to enable the development of customizable, extendable, and portable profiling tools tailored for modern artificial intelligence (AI) workloads on modern GPUs. Our approach integrates profiling capabilities directly into the compiler workflow, allowing profiling functionalities to be implemented as compiler passes, offering a programmable and reusable framework for performance analysis. This design bridges the gap between compilers and profilers, enabling fine-grained insights into complex optimization challenges such as overlapping the execution of fine-grained function units on GPUs. KPerfIR is integrated into the Triton infrastructure to highlight the power of a compiler-centric approach to advance performance analysis and optimization in the ever-evolving landscape of AI compilers. Our evaluation shows that our tool incurs low overhead (8.2%), provides accurate measurements (2% relative error), and delivers actionable insights into complicated GPU intra-kernel optimizations.

Yu. A. Tsoy, V. V. Kirsanov, R. A. Mamedova et al.

The paper shows the development of technologies and tools of mechanization and automation in livestock farming for the period from 1930 to the present. (Research purpose) Given the cyclical nature of processes and the nuanced interpretations of scientific heritage, it is necessary to investigate the historical experience and contributions of scientists to the development and practical implementation of mechanization and automation tools in livestock farming. (Methods and materials) The paper examines the primary stages of mechanization and automation in cow milking, starting with the development of the first Soviet three-stroke milking machine DA-3. It considers the contributions made by specialized institutes of the All-Russian Academy of Agricultural Sciences and individual scientists in formulating testing methodologies for milking machines. Additionally, it explores the development and adoption of novel electromechanical tools for dairy farms. (Results and discussion) Considered in this paper are the pioneering efforts in the creation of the first milking parlors. These include the stationary herringbone type machines with a parallel-pass design, spearheaded by V.S. Krasnov, V.F. Korolev, V.P. Larin, V.P. Pokhvalensky, and A.N. Dormidontov, and the development of mobile carousel parlors of the «rotating herringbone» type, engineered by the design bureau of the Siberian Research Institute of Agriculture under the supervision of I.I. Teslenko, N.V. Krasnoshchekov, K.S. Shapovalov, N.K. Vazenmiller, A.V. Goldenfang. (Conclusions) The paper notes the significance of adopting a systematic approach to the developing of machinery for livestock farming mechanization. This approach was actively pursued by N.M. Morozov, the member of the Russian Academy of Sciences. A significant milestone in the advancement of the theory and practice of animal husbandry processes was the pioneering work in developing and implementing technology for flow-conveyor animal service, headed by Member of the Russian Academy of Sciences L.P. Kormanovsky. The paper reveals the necessity of conducting a historical practices from previous generations. This approach helps to develop modern models of machinery and equipment and avoid mere replication of foreign designs. It also facilitates independent research and development efforts, incorporating insights from the accumulated experience of utilizing equipment and technologies in Russia.

Mahmoud Fallah

The present article aims to demonstrate how Mīrzāyī Nāʾīnī, within the tradition of the Shiite political theology and by employing the concepts and teachings of this intellectual tradition, has addressed theoretical questions and concerns about politics during his time. Thus, through textual analysis and within the framework of semantic theories, the article seeks to answer how he arrived at a stance supportive of constitutionalism from the core principles and tenets of Shiite theology. This study reveals that the outcome of his work, in comparison with other jurists of his time, lies in the particular formulation of concepts and doctrines from this old tradition in response to newly emerging issues regarding modern politics. This formulation has two key features: first, the inescapability of theological discourse on the guardianship of the jurist, which arises from his adherence to the Shiite theological tradition; second, the theological reflection on the foundations and various aspects of constitutionalism, which stems from his attention to the nature of the politics of his time. This analysis highlights Nāʾīnī's prominent role in the evolutionary process of Shiite political theology.

Xueqing Deng, Qihang Yu, Peng Wang et al.

In recent decades, the vision community has witnessed remarkable progress in visual recognition, partially owing to advancements in dataset benchmarks. Notably, the established COCO benchmark has propelled the development of modern detection and segmentation systems. However, the COCO segmentation benchmark has seen comparatively slow improvement over the last decade. Originally equipped with coarse polygon annotations for thing instances, it gradually incorporated coarse superpixel annotations for stuff regions, which were subsequently heuristically amalgamated to yield panoptic segmentation annotations. These annotations, executed by different groups of raters, have resulted not only in coarse segmentation masks but also in inconsistencies between segmentation types. In this study, we undertake a comprehensive reevaluation of the COCO segmentation annotations. By enhancing the annotation quality and expanding the dataset to encompass 383K images with more than 5.18M panoptic masks, we introduce COCONut, the COCO Next Universal segmenTation dataset. COCONut harmonizes segmentation annotations across semantic, instance, and panoptic segmentation with meticulously crafted high-quality masks, and establishes a robust benchmark for all segmentation tasks. To our knowledge, COCONut stands as the inaugural large-scale universal segmentation dataset, verified by human raters. We anticipate that the release of COCONut will significantly contribute to the community's ability to assess the progress of novel neural networks.

Daisuke Mashima, Yao Chen, Muhammad M. Roomi et al.

Smart Grid is a power grid system that uses digital communication technologies. By deploying intelligent devices throughout the power grid infrastructure,from power generation to consumption, and enabling communication among them, it revolutionizes the modern power grid industry with increased efficiency, reliability, and availability. However, reliance on information and communication technologies has also made the smart grids exposed to new vulnerabilities and complications that may negatively impact the availability and stability of electricity services, which are vital for people's daily lives. The purpose of this monograph is to provide an up-to-date and comprehensive survey and tutorial on the cybersecurity aspect of smart grids. The book focuses on the sources of the cybersecurity issues, the taxonomy of threats, and the survey of various approaches to overcome or mitigate such threats. It covers the state-of-the-art research results in recent years, along with remaining open challenges. We hope that this monograph can be used both as learning materials for beginners who are embarking on research in this area and as a useful reference for established researchers in this field.

Christian Banse, Angelika Schneider, Immanuel Kunz

The usefulness of semantic technologies in the context of security has been demonstrated many times, e.g., for processing certification evidence, log files, and creating security policies. Integrating semantic technologies, like ontologies, in an automated workflow, however, is cumbersome since they introduce disruptions between the different technologies and data formats that are used. This is especially true for modern cloud-native applications, which rely heavily on technologies such as protobuf. In this paper we argue that these technology disruptions represent a major hindrance to the adoption of semantic technologies into the cloud and more effort and research is required to overcome them. We created one such approach called $\textit{owl2proto}$, which provides an automatic translation of OWL ontologies into the protobuf data format. We showcase the seamless integration of an ontology and transmission of semantic data in an already existing cloud micro-service.

Xin Tan, Yan Gong, Geyu Huang et al.

The success of open source software (OSS) projects relies on voluntary contributions from various community roles.Being a committer signifies gaining trust and higher privileges. Substantial studies have focused on the requirements of becoming a committer, but most of them are based on interviews or several hypotheses, lacking a comprehensive understanding of committers' qualifications.We explore both the policies and practical implementations of committer qualifications in modern top OSS communities. Through a thematic analysis of these policies, we construct a taxonomy of committer qualifications, consisting of 26 codes categorized into nine themes, including Personnel-related to Project, Communication, and Long-term Participation. We also highlight the variations in committer qualifications emphasized in different OSS community governance models. For example, projects following the core maintainer model value project comprehension, while projects following the company-backed model place significant emphasis on user issue resolution. Then, we propose eight sets of metrics and perform survival analysis on two representative OSS projects to understand how these qualifications are implemented in practice. We find that the probability of gaining commit rights decreases as participation time passes.The selection criteria in practice are generally consistent with the community policies. Developers who submit high-quality code, actively engage in code review, and make extensive contributions to related projects are more likely to be granted commit rights. However, there are some qualifications that do not align precisely, and some are not adequately evaluated. This study contributes to the understanding of trust establishment in modern top OSS communities, assists communities in better allocating commit rights, and supports developers in achieving self-actualization through OSS participation.

Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu et al.

We introduce the \textbf{B}i-Directional \textbf{S}parse \textbf{Hop}field Network (\textbf{BiSHop}), a novel end-to-end framework for deep tabular learning. BiSHop handles the two major challenges of deep tabular learning: non-rotationally invariant data structure and feature sparsity in tabular data. Our key motivation comes from the recent established connection between associative memory and attention mechanisms. Consequently, BiSHop uses a dual-component approach, sequentially processing data both column-wise and row-wise through two interconnected directional learning modules. Computationally, these modules house layers of generalized sparse modern Hopfield layers, a sparse extension of the modern Hopfield model with adaptable sparsity. Methodologically, BiSHop facilitates multi-scale representation learning, capturing both intra-feature and inter-feature interactions, with adaptive sparsity at each scale. Empirically, through experiments on diverse real-world datasets, we demonstrate that BiSHop surpasses current SOTA methods with significantly less HPO runs, marking it a robust solution for deep tabular learning.

Gustavo A. Mesías-Ruiz, Gustavo A. Mesías-Ruiz, María Pérez-Ortiz et al.

Crop protection is a key activity for the sustainability and feasibility of agriculture in a current context of climate change, which is causing the destabilization of agricultural practices and an increase in the incidence of current or invasive pests, and a growing world population that requires guaranteeing the food supply chain and ensuring food security. In view of these events, this article provides a contextual review in six sections on the role of artificial intelligence (AI), machine learning (ML) and other emerging technologies to solve current and future challenges of crop protection. Over time, crop protection has progressed from a primitive agriculture 1.0 (Ag1.0) through various technological developments to reach a level of maturity closelyin line with Ag5.0 (section 1), which is characterized by successfully leveraging ML capacity and modern agricultural devices and machines that perceive, analyze and actuate following the main stages of precision crop protection (section 2). Section 3 presents a taxonomy of ML algorithms that support the development and implementation of precision crop protection, while section 4 analyses the scientific impact of ML on the basis of an extensive bibliometric study of >120 algorithms, outlining the most widely used ML and deep learning (DL) techniques currently applied in relevant case studies on the detection and control of crop diseases, weeds and plagues. Section 5 describes 39 emerging technologies in the fields of smart sensors and other advanced hardware devices, telecommunications, proximal and remote sensing, and AI-based robotics that will foreseeably lead the next generation of perception-based, decision-making and actuation systems for digitized, smart and real-time crop protection in a realistic Ag5.0. Finally, section 6 highlights the main conclusions and final remarks.

Andrew Searles, Yoshimichi Nakatsuka, Ercan Ozturk et al.

For nearly two decades, CAPTCHAs have been widely used as a means of protection against bots. Throughout the years, as their use grew, techniques to defeat or bypass CAPTCHAs have continued to improve. Meanwhile, CAPTCHAs have also evolved in terms of sophistication and diversity, becoming increasingly difficult to solve for both bots (machines) and humans. Given this long-standing and still-ongoing arms race, it is critical to investigate how long it takes legitimate users to solve modern CAPTCHAs, and how they are perceived by those users. In this work, we explore CAPTCHAs in the wild by evaluating users' solving performance and perceptions of unmodified currently-deployed CAPTCHAs. We obtain this data through manual inspection of popular websites and user studies in which 1,400 participants collectively solved 14,000 CAPTCHAs. Results show significant differences between the most popular types of CAPTCHAs: surprisingly, solving time and user perception are not always correlated. We performed a comparative study to investigate the effect of experimental context -- specifically the difference between solving CAPTCHAs directly versus solving them as part of a more natural task, such as account creation. Whilst there were several potential confounding factors, our results show that experimental context could have an impact on this task, and must be taken into account in future CAPTCHA studies. Finally, we investigate CAPTCHA-induced user task abandonment by analyzing participants who start and do not complete the task.

Boyang Zhou, Chunming Wu, Qiang Yang et al.

In a modern electric power transmission grid, the phasor measurement unit requires a reliable transport of its sampled statistics with a low end-to-end failure rate (EEFR) to ensure the accuracy of the grid state estimation. However, EEFR can be deteriorated by packet losses due to multiple link disruptions in the primary forwarding path (PP). To address that, we investigate a novel disruption resilient transport protocol (DRTP) enabling hop-by-hop retransmission utilizing the redundant subpaths (RSPs) available for the PP to increase reliability. It addresses the new distributed collaboration issue under multiple link failures to avoid cache mismatching. These have not been considered by the existing approaches. The DRTP was evaluated in the ndnSIM simulator through both the typical and general routes that are constructed from real transmission grids. The numerical results demonstrate that it has a significant advantage in reducing the EEFR with a low end-to-end delivery time under serious link disruptions.

Mohtasham Mohammadi, Abdollah Valadi Jahan abad

Introduction The factor of textual coherence and sentence relation are divided into three categories according to Halliday and Hasan: A) Lexical factor: including repetition, synergy and semantic domains. B) Grammatical factors: including referral, replacement and deletion. C) Connective factors: including conjunctions (Yahaghi and Fallahi, 2011, p. 331). New linguists, in the course of their early studies, have relied only on the description of less linguistic units and have not paid attention to the study and analysis of disciplines beyond such as in the critique of these research approaches (De bougrand and Dressler, 1981, p. 21). Gradually, with the development of linguistic research and the development of new theories, Noam Chamsky's rotational method, became a concept between sentences, and the basic need for study was concentrated within the organization of the text so that the text could be studied by linguists as a larger linguistic unit. (Ibid 104-130). As a result, it led to the discovery of semantic relationships between elements of language which arise from the function of elements of coherence in the text. Methodology Since from the end of 20th century, a more detailed study of speech has been opened especially with patterns such as the pattern of cohesion and on the other hand, Khaghani in Persian poetry is a symbol of the strength and stability of poetic speech in the form of Ode. One should examine to see if the pattern of coherence confirms the coherence of Khaghani's speech. In the prevalence of some fascinations, it seems necessary to see and explore the magnificent Persian text from new perspectives in order to show their originality' strength and coherence. Discussion In 1976 Halliday and Hasan divided English text cohesion tools into three categories: Grammatical tools including “referral”, “substitution” and “deletion”. Link tools including conjunctions; and lexical tools including repetition. In 1985 they expanded this division into another joint work. It is the coherence consistency and integrity of the text that keeps the components of the text together; That is the meaning of lexical units within each sentence depends on the other units within the same sentence (Taki, 1999, p.73-81). Text coherence refers to the set of links and relationships that exist between the components of the text. These links and relationships distinguish the text from randomly stacked sentences and turn it into a coherent whole (Lotfipur, 1995, p. 110). Vocabulary coherence based on the relationship that lexical units of language have with each other in terms of the content of their meanings and the text trough these relationships can be continuous and coherent (Mohajer & Nabavi, 2014, p. 64). Word has no meaning in isolation. The meaning of a simple or compound word is related to other words in the language. The main task of semantics is the clarify words and determine these semantic relations (Tarask, 2001, p. 18). Recursion has the highest value among the elements of other words and increase the musical level of the poem, the stability of the words, the unity of the subject or the embodiment images and poetic emotions and feelings and the single theme and solidarity of the verses and connect them with chains (yavari, 2000). Recursion comes in several forms: repetition, contradiction, semantic inclusion, synonym. One of the factors of the lexical coherence in the text is the factor for repetition. According to Halliday, repetition is the most obvious type of lexical coherence. The cohesive factor of repetition includes all morphological construction of a word (yavari, 2018, p. 163-192). In Khaghni's view like the formalists, the word has a special importance to the extent that various literary techniques such as: prosody, repetition of sounds, repetition of syllable in words, etc. As a tool to draw the reader's attentions to the word element (Alavi Moghaddam, 1995). The thirst for word choice is clearly evident in Khaghani's words (Tajlil & Musavi, 2014). In this Khaghani's poem, 41 words are repeated more than once. The most commonly used word is morning (It is the most frequent word in this poem). Khaghani has been called the poet of morning. Maybe that is why he pays attention to the morning and sunrise in his poems. Conclusion Contemporary patterns in literary studies are clearly arguments for commenting on literary topics. One of these models is the model of Halliday and Hasan cohesion, which was reviewed by Hasan sometime after its publication and was finally presented by Halliday and Hasan shortly after. For decades, formal studies based on this model have become increasingly important. On the other hand, the importance and success of Khaghani in Persian has always been raised. In this research, using the evolved theory of coherence of Halliday and Hasan (1985) in role-oriented linguistics; analysis, coherence and continuity in verses of Khaghani's poem have been done to determine how the semantic connection of cohesive chains has been realized in this poem. According to this theory, the coherence of the relations between elements is the constructor of the text, but it is not enough just to achieve the coherence factors in the texts; rather after showing these factors, it is necessary to examine the coherence of the text, based on coherence coordination. This study, following the achievement of coherence of the factors and coherence of the text of the poem, led to the conclusion that Khaghani's verses have a high coherence according to Halliday model. Although the strength of the structure of Khaghani's poetry does not need to be confirmed by such models but it is a conclusive argument and a valid argument that shows that the patterns favored by modern scholars also confirm the coherence of the words of the greats of Persian literature. According to the collected analysis materials, the following contents were obtained. Repetition and reference have the highest frequency in the issue of coherence of Khaghni's logic poem. In the topic of repetition, the highest frequency of words, revolved around the following axes: Topics related to religion: God, Guidance, Baggage, futurity, Clerics. Topics related to nature: Morning, sky, night, sun, moon. 3.Vocabulary related to war: Cousin, dagger, armor, razor, ring, punch, kidnapping. 4.Topics related to clothing: Cloaks, robes, masks, hats. It is as if Khaghani wants to sing the epic of the sultan of religion instead of the epic of sultan of the time and show us a deep alternative. In this axis, he combines all the elements of nature to achieve his goal. The method of Haliday and Hasan in the Latin articles that are available and in the Persian articles that have been published in prestigious academic journals in the last 35 years is the first case study- Khaghani's poem- is translated into text and then into words. and are checked. This method is very accurate in this regard and according to this model, we can speak with certainty about the coherence of Khaghani's speech. Also, in response to the questions of expression of the problem, it was found that new patterns for examining the ancient texts are not prohibited and there is no problem and the firmness of Khaghani's speech, which is clear for Persian literature elites, was proved by this pattern. It was also answered that the use of modern patterns is not a problem for the study of ancient texts. This pattern which has good accuracy and detail, is suitable for the study of Khaghani's poem.

Laura Arditti, Martino Trevisan, Luca Vassio et al.

Payment platforms have significantly evolved in recent years to keep pace with the proliferation of online and cashless payments. These platforms are increasingly aligned with online social networks, allowing users to interact with each other and transfer small amounts of money in a Peer-to-Peer fashion. This poses new challenges for analysing payment data, as traditional methods are only user-centric or business-centric and neglect the network users build during the interaction. This paper proposes a first methodology for measuring user value in modern payment platforms. We combine quantitative user-centric metrics with an analysis of the graph created by users' activities and its topological features inspired by the evolution of opinions in social networks. We showcase our approach using a dataset from a large operational payment platform and show how it can support business decisions and marketing campaign design, e.g., by targeting specific users.

Mao Yang, Bozhi Dai, Jinxin Wang et al.

Abstract To satisfy the grid operation scheduling requirements for wind power forecasting model accuracy, the measured wind speed near the height of the wind turbine hub is added to the wind power combined forecasting model. First, the relationship between the numerical weather prediction wind speed and the measured wind speed at different heights are analysed, and the correlation between each wind speed and the wind power is compared. Second, the random forest algorithm combined with the cumulative contribution rate is used to select several meteorological types of numerical weather prediction data as the input of the long short‐term memory network to predict wind speed. Third, while inputting the meteorological data provided by numerical weather prediction, which is highly related to wind power, the wind power prediction network also uses the predicted wind speed of the upper network as input to predict wind power. Finally, the entropy method is used to dynamically determine the combined weights of each forecasting model and improve the adaptability of the model. Research and analysis using measured data from two wind farms located in northeast China have verified the effectiveness of the method.

M Sadik Batcha, Younis Rashid Dar, Muneer Ahmad

The present study conducts a scientometric study of the Modern Language Journal literature from 1999 to 2018 based on the database of Web of Science, 2018. A total of 2564 items resulted from the publication name using "Modern Language Journal" as the search term. Based on the number of publications during the study period no consistent growth is observed in the research activities pertaining to the journal. The annual distribution of publications, number of authors, institution productivity, country wise publications and Citations are analyzed. Highly productive authors, institutions, and countries are identified. The results reveal that the maximum number of papers 179 is published in the year 1999. It was also observed that Byrnes H is the most productive, contributed 51 publications and Kramsch C is most cited author in the field having 543 global citations. The highest number (38.26%) of publications, contributed from USA and the foremost productive establishment was University of Iowa.

Wei Dong, Yixing Lao, Michael Kaess et al.

We present ASH, a modern and high-performance framework for parallel spatial hashing on GPU. Compared to existing GPU hash map implementations, ASH achieves higher performance, supports richer functionality, and requires fewer lines of code (LoC) when used for implementing spatially varying operations from volumetric geometry reconstruction to differentiable appearance reconstruction. Unlike existing GPU hash maps, the ASH framework provides a versatile tensor interface, hiding low-level details from the users. In addition, by decoupling the internal hashing data structures and key-value data in buffers, we offer direct access to spatially varying data via indices, enabling seamless integration to modern libraries such as PyTorch. To achieve this, we 1) detach stored key-value data from the low-level hash map implementation; 2) bridge the pointer-first low level data structures to index-first high-level tensor interfaces via an index heap; 3) adapt both generic and non-generic integer-only hash map implementations as backends to operate on multi-dimensional keys. We first profile our hash map against state-of-the-art hash maps on synthetic data to show the performance gain from this architecture. We then show that ASH can consistently achieve higher performance on various large-scale 3D perception tasks with fewer LoC by showcasing several applications, including 1) point cloud voxelization, 2) retargetable volumetric scene reconstruction, 3) non-rigid point cloud registration and volumetric deformation, and 4) spatially varying geometry and appearance refinement. ASH and its example applications are open sourced in Open3D (http://www.open3d.org).

Xiaoling Dou, Hsien-Kuei Hwang, Chong-Yi Li

We examine and clarify in detail the contributions of Yoshisuke Matsunaga (1694?--1744) to the computation of Bell numbers in the eighteenth century (in the Edo period), providing modern perspectives to some unknown materials that are by far the earliest in the history of Bell numbers. Later clarification and developments by Yoriyuki Arima (1714--1783), and several new results such as the asymptotic distributions (notably the corresponding local limit theorems) of a few closely related sequences are also given.

Katharina Grätz

Resumo Livro para todos e para ninguém, Assim falava Zaratustra ocupa, com efeito, um lugar especial no conjunto da obra de Nietzsche. Já no Prólogo do livro, o filósofo alemão faz intervir concepções únicas e personagens sui generis, tais como, por exemplo, a noção de além-do-homem e as figuras do equilibrista e do bufão. Explorando a rica mediação narrativa e as finas referências textuais que constituem essas duas simbólicas personagens, bem como os possíveis sentidos conferidos à ideia de superação do tipo “homem”, o presente artigo conta lançar uma nova luz sobre um dos núcleos temáticos mais discutidos do legado nietzschiano.

Freddy Gabbay, Avi Mendelson

Reliability is a fundamental requirement in any microprocessor to guarantee correct execution over its lifetime. The design rules related to reliability depend on the process technology being used and the expected operating conditions of the device. To meet reliability requirements, advanced process technologies (28 nm and below) impose highly challenging design rules. Such design-for-reliability rules have become a major burden on the flow of VLSI implementation because of the severe physical constraints they impose. This paper focuses on electromigration (EM), which is one of the major critical factors affecting semiconductor reliability. EM is the aging process of on-die wires and vias and is induced by excessive current flow that can damage wires and may also significantly impact the integrated-circuit clock frequency. EM exerts a comprehensive global effect on devices because it impacts wires that may reside inside the standard or custom logical cells, between logical cells, inside memory elements, and within wires that interconnect functional blocks. The design-implementation flow (synthesis and place-and-route) currently detects violations of EM-reliability rules and attempts to solve them. In contrast, this paper proposes a new approach to enhance these flows by using EM-aware architecture. Our results show that the proposed solution can relax EM design efforts in microprocessors and more than double microprocessor lifetime. This work demonstrates this proposed approach for modern microprocessors, although the principals and ideas can be adapted to other cases as well.

Viktoriya Zhelanova

<span class="fontstyle0">The article substantiates the relevance and expediency of the implementation of reflexively oriented education of a future teacher in a modern institution of higher education. The essence of reflexive constructs of the future teacher as unity of reflexive competence and reflexively deterministic constructs is revealed. The reflexive competence of the future teacher is defined as professional-personal metaquality and is represented in two planes: 1) as an independent construct; 2) as a determinant, which determines the development of reflexively saturated constructs. In the context of reflexive determination, the motivational, semantic and subjective fields of personality are presented. The directions of the process of transformation of components of reflexive competence, as well as motives, meanings, professional subjectivity in the plane of their reflexive determination are revealed. The phenomenon of the educational environment of the institution of higher education is analyzed and attention is focused on its reflexive orientation. The logic and peculiarities of the formation of reflexive constructs of the future teacher in accordance with the phases of the environment (adaptation to the environment, the active reproduction of the environment by students, the active influence of students on the environment and the independent creation of the environment) are highlighted.</span> <br />