Reviewerly/exHarmony huggingface dataset:
Molecular Cavity QED

Cavity quantum electrodynamics (cavity QED) is the study of the strong coupling between two-level emitters and high-Q optical cavities, where the quantum nature of the light plays a crucial role. Thus far, the relevant cavity-QED experiments have been performed by using various particles, including neutral atoms, trapped ions, quantum dots, and nitrogen-vacancy centers. Here, we focus on the cavity QED with the molecules placed inside or close to a microcavity. The molecules have complex energy structures and short energy-level lifetimes, posing the experimental challenges. Nevertheless, the strong molecule–cavity coupling regime is still accessible by carefully designing the cavity structure and controlling the ambient environment. The strong emitter–cavity coupling does not only shorten the measurement time in quantum metrology but also enhances the sensitivity of a sensor. The fundamental limit of the measurement uncertainty is set by the Heisenberg uncertainty principle.
Joint Detection and Tracking Scheme for Target Tracking in Moving Platform

In this paper, a joint detection and tracking (JDT) scheme is presented for single target tracking in clutter using a moving radar platform. The core of the JDT scheme is to adaptively modify the detection threshold according to the feedback information from the tracker to the detector, while guaranteeing the averaged false alarm rate in the validation gate is a constant. The feedback information we utilized is the target's predicted location distribution, which can be achieved through jointly estimating the state of platform and target. Simulation results suggest that the JDT scheme can provide improved detection and tracking performance significantly, when compared with the standard probabilistic data association method.
Development of primary school prospective teachers’ project competence in the process of higher education

The paper considers some results of a fundamental research devoted to development of primary school prospective teachers project competence in the process of higher education. The authors reveal the relevance of the pedagogical design study and students project activities. The paper contains advantages of the design paradigm of education, competence model of teaching. The authors reveal the problem of prospective teachers project competence development in the unity of system, cultural, activity and personality-oriented approaches. The paper proposes a definition of a teacher project competence, a structure of a project competence, as well as the authors model of development of primary school prospective teachers project competence in the process of higher education, and highlights blocks, stages, components, criteria and levels. The authors have developed indicators of three levels of teachers project competence development. The paper describes in detail the experimental work on prospective teachers project competence development: methodical approaches to the organization of the experiment are described, methods, stages are listed and tasks of the experiment by stages are revealed. The paper also presents the authors technology of project competence development, it identifies three modules: socio-cultural, psychological and pedagogical. The paper describes in detail the results and analysis of the final stage of the experimental work: empirical data of several sections, qualitative analysis of the results in the experimental and control groups.
Using the developed web-application for solving problems of increased complexity in mathematics

Abstract A student is faced with mathematical problems of increased complexity in the process of learning mathematics, in preparation for the unified state exam in Russia. The article presents some elements of the analysis of the results of the unified state examination in mathematics of the profile level, which is passed by school graduates of the Russian Federation, on the example of one of the subjects. The article also describes a web application that is a graphical editor that allows you to work with functions and their graphs. This application can make it easier to solve high-complexity tasks that involve working with functions and their schedules. The work of this application is illustrated by the example of solving mathematical problems with parameters.
Research on the Contribution Evaluation Method of Spatial Infrastructure Information Application System

With the rapid development of China’s economy and technology, spatial infrastructure has been highly valued, and the impact of spatial infrastructure information application is growing. In order to reasonably design spatial infrastructure and make full use of spatial infrastructure information resources, the contribution research of spatial infrastructure information application system should be carried out. Based on the analysis of the basic concept of system contribution degree and the system contribution degree evaluation model, aiming at the contribution degree evaluation of spatial infrastructure information application system, this paper presents the multi task evaluation process and steps, constructs the evaluation index system and designs the system contribution evaluation model. Finally, the implementation process of the contribution evaluation of spatial infrastructure information application system is described in detail through an example analysis. This method can provide technical reference for the study of the system contribution of spatial infrastructure information application system and other systems.
Slope Stability in Rainfall Induced Landslided Area In Tirumala Hills By-Geotechnical Investigation

Abstract Landslides are the sudden events which results in loss of both human and environmental life. It mainly happens due to the rainfall occurred in soil instable areas. If the rainwater passes into the pores of soil in slope areas then the soil transforms as slurry or muddy and the runoff takes place along with soil. So landslide will occurs accordingly in hill down areas. The soil samples will be collected at five successive selected locations where the slide occurred. The slope stability of the soil in landslide area can be tested and Factor of safety will be calculated. If the factor of safety will be less than 1, then the soil will be susceptible for instability. If the FOS will be greater than 1, then the soil will be stable under saturated conditions. Generally landslides are common in Tirumala hills. This paper explains about the nature of soil and properties of land erupted soil in Tirumala ghat road.
Cross-Modal Retrieval via Similarity-Preserving Learning and Semantic Average Embedding

Cross-modal retrieval takes one modality data as the query to search related data from different modalities (e.g. images vs. texts). As the heterogeneous gap exists between different media data, mainstream methods focus on reducing modality gap using common space learning. However, the heterogeneous media gap is big and it is too hard to be eliminated completely. Besides this, the representations of the same modality are diverse, which is important but is ignored by most existing methods. In this paper, we propose a novel cross-modal retrieval via Similarity-preserving Learning and Semantic Average Embedding (SLSAE) method. There are two key ideas in our method, one is to reduce modality gap by similarity-preserving learning, the other is to use semantic average embedding to weaken the impact of diversity existing in the common space. The similarity-preserving learning process will push embeddings from the same category together and pull embeddings from different categories apart. Eliminating the influence of embeddings diversity can improve performance and robustness, which is more friendly to real-world cross-modal retrieval applications. The model of proposed method is concise, and can be extended to multimodal retrieval situation flexibly. Comprehensive experimental results show that our method significantly outperforms the state-of-the-art methods in bimodal cross-modal retrieval, and it also achieves excellent performance in multimodal retrieval scenarios.
Attention-based Sequential Generative Conversational Agent

In this work, we examine the method of enabling computers to understand human interaction by constructing a generative conversational agent. An experimental approach in trying to apply the techniques of natural language processing using recurrent neural networks (RNNs) to emulate the concept of textual entailment or human reasoning is presented. To achieve this functionality, our experiment involves developing an integrated Long Short-Term Memory cell neural network (LSTM) system enhanced with an attention mechanism. The results achieved by the model are shown in terms of the number of epochs versus loss graphs as well as a brief illustration of the model's conversational capabilities.
Tutoring as a Way of Organizing University Space for the Academic Qualification of Young Researchers: the Russian Context

The article deals with the study of the tutoring phenomenon in the past and in modern times. The relation between tutoring and the development of metacompetitions of tutorantshas been traced. The concepts of meta-subject matter, metacognitiveness and metacreativity are specified in the educational context. The neccesityto include tutoring in the modern Russian education, especially to the scientific training of students, has been shown. The need for inclusion of tutoring in the space of modern Russian education is shown, especially concerning the scientific training of students.
Linear and quadratic time frequency transforms on FPGA using folding technique

In this paper time frequency representations (TFRs) are implemented on FPGA. Linear TFRs such as Short Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), Stockwell Transform (S-Transform) and Quadratic TFRs like Wigner Ville Distribution (WVD), Pseudo Wigner Ville Distribution (PWVD), Choi William Distribution (CWD), and Rihaczek Distribution (RD) are designed in Verilog and performed over FPGA. In most of the FFT architectures many butterfly unit (BU) stages are remains idle during computation since current stage computation depends on previous stage outputs. As a result these idle BU leads to additional register allocation and delay propagation. An optimized VLSI architecture is proposed in this paper for efficient clock utilization to compute FFT in all TFRs. Folding technique is implemented in all TFRs to minimize the register allocation. The design is carried out in Verilog code and CORDIC algorithm is used tocomputecorebutterflystructureofFFTinallTFRs. Chirp signal is taken as input to evaluate real time performances of all TFRs. Real time factors utilized on FPGA hardware like Flip Flops, IOBs, LUTs utilization and power consumption are compared for allTFRs. Further proposed methodology is compared with previous existing methods for better time frequency applications.
Implementation of Stomatological Hospital Information

With the development and application of software technology, the requirements for software development are constantly improving. The application of software architecture style and quality attributes should be considered while developing software. This system refers to much famous stomatological hospital portal websites in China. In addition to the basic functions of hospital introduction, department doctor introduction, appointment registration and other basic functions, patients can also check their own examination reports, prescriptions, etc., which has strong regional and group characteristics. We should vigorously use Internet technology to build an information platform to better provide oral diagnosis and treatment services for patients. The stomatological hospital information platform is a multi-layer distributed enterprise application program generated by. Net platform. It uses B/s, warehouse, multi-layer, object-oriented and other architecture styles, and adopts corresponding strategies to improve the overall quality of the software in terms of usability, modifiability and other quality attributes.
IvoriWatch: Exploring Transparent Integrity Verification of Remote User Input Leveraging Wearables

Several sensitive operations, such as financial transactions, email construction, configurations of safety-critical devices (e.g., medical devices or smart home systems), are often performed via web interfaces from a host machine, usually a desktop or laptop PC. It is typically easy to secure the communication link between the local host machine and the remote server, for example, via a standard cryptographic protocol (e.g., TLS). However, if the host machine itself is compromised with a trojan or malware, the malicious adversary can manipulate the user-provided input (e.g., money transfer information, email content and configuration data) that can lead to severe consequences, including financial loss, damage of reputation, security breach, and even put human lives in danger.
Criminogenic Groups on the Social Networking Site VKontakte: the Problem Statement

The article considers separate aspects of criminogenic internet groups activities. Their definition is given, scientific literature on this topic is analyzed, a classification of criminogenic social groups on the Russian social networking site «VKontakte» is suggested. A conclusion about the necessity of a thorough research of the issue is drawn. It is related to a number of aspects and namely: lack of data on types of criminogenic groups which are present on social networking sites; an insignificant number of works dedicated to criminogenic groups, to the analysis of their content, their structure, rate of their expansion and detection of the number of real participants; lack of internet content analysis techniques to decide whether a certain group is criminogenic or not; imperfection of preventive strategies and efficient measures of control over criminogenic groups activities and also lack of state policy in this field. The solution of the stated problems is urgent and congruent with National Security Strategy of the Russian Federation till 2020.
SMConf: One-Size-Fit-Bunch, Automated Memory Capacity Configuration for In-memory Data Analytic Platform

Spark is the most popular in-memory processing framework for big data analytics. Memory is the crucial resource for workloads to achieve performance acceleration on Spark. The extant memory capacity configuration approach in ... | Find, read and cite all the research you need on Tech Science Press
Reliable and Efficient Bear-presence Detection based on Region Proposal of Low-resolution

The bear attack to human beings is one of the fatal accidents, and it is becoming more critical to avoid such accidents because human 's encountering a bear happens every year, even in a city area. It is required to discover bears quickly and warn people to avoid bear accidents. To realize sensor nodes that detect bears automatically using image recognition technology, we aim to realize an accurate and computationally-efficient bear-presence detection. In this paper, we propose a bear-presence detection method combining region proposal of a low-resolution and image classification. In the experiments, we show that the proposed method achieves 4.9% higher recall and 2.3% higher F-score than image classification with-out region-proposal. Moreover, the proposed method achieved 0.6% higher recall and 18.5% higher F-score than YOLOv3, which is one of state-of-the-art object detection methods while the execution time was reduced to 72.4% for bear images and 55.5% for non-bear images.
Problems of foreign students’ integration into the educational environment of a pedagogical university

A survey was conducted among foreign students studying at Natural Sciences Education Faculty of the I. Yakovlev Chuvash State Pedagogical University located in Cheboksary, the Republic of Chuvashia, Russia. The methodology was used to diagnose the learning motivation of students and a survey was conducted in order to identify socio-pedagogical conditions of students adaptation to the university. Leading motives have been established that determine the desire of foreign students to obtain higher education in Russian cities. The dynamics of student motivation changes has been revealed. It is also found that the assessment of the university and faculty management work by foreign students testifies to the favorable social and pedagogical environment that is developed at the faculty and university. Foreign students poor knowledge of special terminology used for the study of natural sciences is noted. The author identified that it is necessary for foreign students to acquire professional activities of pedagogical education bachelors. Studying at a pedagogical university is demanded by foreign citizens from Central Asia states. Working with foreign students enriches the teaching experience of faculty members. Strengthening multicultural relations, creating conditions conducive to the full self-realization of foreign students personality facilitates the process of their adaptation and integration into the educational environment. Training a prospective bachelor of pedagogical education as a specialist takes place in the context of motivations change throughout the learning process. At the same time, an important point is the confidence in the future profession. In such conditions, educational and cognitive motives become more important and stimulate students to acquire knowledge in the field of their chosen profession.
A method to generate context information sets from analysis results with a unified abstraction model based on an extension of data enrichment scheme

Abstract Context‐awareness techniques generally deal with steps for processing information that can be gathered from perspectives of objects in real‐world scenes in accordance with resolving heterogeneous devices and providing meaningful context information in recent computing domains such as Internet of Things, cloud computing, edge computing, and big data analysis. However, analysis applications are necessary to be improved in a way of cooperative approaches because they are independently executed far away from context‐aware systems. This means that the stages are applied to process the data or the derived results, are isolated. That leads difficulties of management and integration for other software modules. As a result, a computing paradigm called edge computing has been suggested to compromise such isolations. For processing context information, it is necessary to establish knowledge parts with validation processes against the isolations. In this paper, we suggest a method for processing datasets in a view of building knowledge parts. The suggested method uses an extensible data enrichment scheme, which represents the relations for the object. In the experiment section, applications of the proposed method are shown in one of the healthcare community centers, and the data abstraction with the analysis jobs can be processed for each real‐world object.
Imposing and Superposing the Information Processes over Variable Concepts

A conceptual basis for modeling the information process is given in the study of the features of its propagation in case of varying the determining property. The system of conceptual dependencies over variable abstract sets is used as a relativized basis for processing semantic information. Variable domains and mapping are used to control the progress of the process, as well as recognition mappings and reversal mapping of the process property. It is shown that in the representing functorial category they can be interpreted as cognitive architectures that are significant for solving semantic modeling problems. In this case, the superposition of process states can be taken into account.
Design and Application of Web-Based English Courseware Synchronous Learning Support System for Teachers and Students

Based on the analysis of the problems in the process of using the single machine running courseware downloaded through the network, this paper puts forward the significance of the design and development of the web-based courseware synchronous learning support system and introduces the design idea of a web-based English courseware synchronous learning support system in detail, and finally evaluates the system.
The Influence of COVID-19 Outbreak on the Readiness of Firms to Cyber Threats

Technology impacted the lives of millions of people with their home day-to-day activities. When the COVID-19 pandemic struck in many countries, there was a need to change both the mode of working with technology as well as to handle internet and online risks exposure. During the pandemic, cybercrime groups utilized the internet usage to commit cybercrimes especially by exploiting vulnerabilities of many applications, networks, and infrastructures. This study aims to explore the impact of COVID-19 on the readiness of organizations to handle cyber threats in two directions: 1) analysis of CVE common vulnerability data before and during the pandemic period and 2) analysis of fuzzy logic data model designed to demonstrate the importance of firms readiness to cope with cyber threats. Results show that due to the significant increase in cyber threats, small firms tend to be more fragile to cyber threats than big ones, and they have to invest more resources to mitigate cyber threats. Findings and implications are discussed.
Emerging Markets

While most of the development and implementation of Blockchains has taken place in Western countries, arguably its greatest potential resides in emerging markets: Argentina, Brazil, Chile, China, Colombia, Czech Republic, Egypt, Greece, Hungary, India, Indonesia, Korea, Malaysia, Mexico, Morocco, Qatar, Peru, Philippines, Poland, Russia, South Africa, South Korea, Taiwan, Thailand, Turkey, and United Arab Emirates – all countries that are evolving and disrupting traditional methods of production like agriculture and the export of raw materials to invest in modern manners of productive capacity. This chapter examines the sectors in which Blockchain is being used to innovate in emerging markets to enable financial inclusion, improved asset and supply chain management, education, and healthcare.