Reviewerly/exHarmony huggingface dataset:
Progressive Multi-Stage Feature Mix for Person Re-Identification

Image features from a small local region often give strong evidence in person re-identification task. However, CNN suffers from paying too much attention on the most salient local areas, thus ignoring other discriminative clues, e.g., hair, shoes or logos on clothes. In this work, we propose a Progressive Multi-stage feature Mix network (PMM), which enables the model to find out the more precise and diverse features in a progressive manner. Specifically, (i) to enforce the model to look for different clues in the image, we adopt a multi-stage classifier and expect that the model is able to focus on a complementary region in each stage. (ii) we propose an Attentive feature Hard-Mix (A-Hard-Mix) to replace the salient feature blocks by the negative example in the current batch, whose label is different from the current sample. (iii) extensive experiments have been carried out on reID datasets such as the Market-1501, DukeMTMC-reID and CUHK03, showing that the proposed method can boost the re-identification performance significantly. Source code <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> has been released.
Face Mask and Body Temperature Detection System to Prevent COVID for Work Environment

Due to the COVID-19 pandemic, wearing a mask is mandatory in public spaces, as properly wearing a mask offers a maximum preventive effect against viral transmission. Body temperature has also become an important consideration in determining whether an individual is healthy. In this work, we design a real-time deep learning model to meet current demand to detect the mask-wearing position and head temperature of a person before he or she enters a public space. In this experiment, we use a deep learning object detection method to create a mask position and head temperature detector using an Arduino and temperature sensor. We implement an RGB camera and temperature sensor to generate input images and capture a person’s temperature, respectively. The output of these experiments is a live video that carries accurate information about whether a person is wearing a mask properly and what his or her head temperature is. Our model is light and fast, achieving a confidence score of 81.31% for the prediction object and a prediction speed below 0.1s/image.
UniBA @ KIPoS: A Hybrid Approach for Part-of-Speech Tagging

The Part of Speech tagging operation is becoming increasingly important as it represents the starting point for other high-level operations such as Speech Recognition, Machine Translation, Parsing and Information Retrieval. Although the accuracy of state-of-the-art POS-taggers reach a high level of accuracy (around 96-97%) it cannot yet be considered a solved problem because there are many variables to take into account. For example, most of these systems use lexical knowledge to assign a tag to unknown words. The task solution proposed in this work is based on a hybrid tagger, which doesn’t use any prior lexical knowledge, consisting of two different types of POS-taggers used sequentially: HMM tagger and RDRPOSTagger [(Nguyen et al., 2014), (Nguyen et al., 2016)]. We trained the hybrid model using the Development set and the combination of Development and Silver sets. The results have shown an accuracy of 0,8114 and 0,8100 respectively for the main task.
Save $1.50 – Slow Kettle Style Soup Printable Coupon

Looking for Slow Kettle Soup Coupons? Get the latest free Slow Kettle Coupons for [current_date format=F Y] and save on all your favorite ...
LibGuides: Permalinks: Alexander Street Press (ASP)

Learn how to create permanent URLs for the library's electronic resources: databases, journals, articles, ebooks, etc
Transactional Machine Learning

Transactional machine learning (TML) is an exciting area of machine learning that is specifically focused on applying auto machine learning (AutoML) to data streams to create machine learning solutions that are frictionless and elastic. This chapter will define TML and the related technologies that are important to build TML solutions. It also discusses the (big) data platform that will store and process the data streams for analysis and machine learning. Applying machine learning to data streams will be vital for disruptive technologies [Jayanthiladevi et al., 2018]. We define TML as follows.
Analysis of Diabetic Association Rules Based on Apriori Algorithms.

In this paper, the association rule is elaborated on the basis of Apriori taking the diabetic patient’s disease record as a case. The core idea of association rule on the basis of Apriori algorithm for mining large item sets is discussed, furthermore the example shows the execution process of the algorithm.
Future Developments in Standardization of Cyber Risk in the Internet of Things (IoT)

In this research article, we explore the use of a design process for adapting existing cyber risk assessment standards to allow the calculation of economic impact from IoT cyber risk. The paper presents a new model that includes a design process with new risk assessment vectors, specific for IoT cyber risk. To design new risk assessment vectors for IoT, the study applied a range of methodologies, including literature review, empirical study and comparative study, followed by theoretical analysis and grounded theory. An epistemological framework emerges from applying the constructivist grounded theory methodology to draw on knowledge from existing cyber risk frameworks, models and methodologies. This framework presents the current gaps in cyber risk standards and policies, and defines the design principles of future cyber risk impact assessment. The core contribution of the article therefore, being the presentation of a new model for impact assessment of IoT cyber risk.
Methods for Conflict Resolution in the Pedagogical Process

The article deals with the designing the processes of conflict interaction, problem solving and constructive communication in training and teaching the pedagogical personnel. It attempts to make recommendations and advices related with this issue for parents, teachers, methodologists, principals and psychologists of schools.
Fast pattern matching method for a bitstream

A family of algorithms for fast pattern matching in a bitstream is described. A bitstream is assumed to be stored in a memory and divided into bytes and machine words. The proposed algorithms are based on RZ-family of algorithms for fast pattern matching in a 256-ary text and inherit such their properties as ‘1.5-byte read’, double skip loop, right-to-left text processing as well as a special technique of multiple sliding windows. Beyond that, the new algorithms provide longer average shifts than the best known Binary Faro-Lecroq algorithm and more efficient technique of match checking. Applied to a text close to random, our algorithms outperform all known analogues for all pattern lengths from 20 up to 500.
Mosquito Auto Identification Scheme using Image Extraction Techniques

This paper presents an Intestinal pain is an ensured contamination for which brief end is required reviewing a conclusive objective to control it. Improving instruments are used to see the confusion. If an off-base insistence is done, by then the pain can change into dynamically uncommon state. The picture preparing check is used to see the closeness of malarial fever parasite, Plasmodium falciparum species in meager spreads of Giemsa recolored edges blood test. Some picture managing estimations are utilized to robotize the assessment of malarial fever on weak blood spreads are made, yet the degree of parasitaemia is dependably not as indisputable as manual check. The proposed system cleanses the human slip-up while seeing the closeness of malarial fever parasites by using picture preparing figurings. This is created by the appraisal of two strategies for seeing intestinal disarray parasites; first structure relies on division; second uses incorporate extraction using least partition classifiers. The intestinal pollution zone structure achieves raised level of affectability, personality, constructive conjecture and contrary need regards.
『조선민간고사(朝鮮民間故事)』의 중역(中譯)과 쉬베이훙(徐悲鴻)의 삽화

Garine-Mixailovskii’s the Russian version of “Korean Story”(“Корейские сказки”) was translated into the Chinese version of “Korean Folktales”(『朝鮮民間故事』) after the French version of “Korean tales”(“Contes Coreens”), which has rich cultural implications. As the preface of “Korean Story” states, Garine tried to convey the beautiful heart and faithfulness of the innocent and good Koreans, and the pure hope and firm spirit of the Korean people who sought happiness. Garine’s perspective was clearly shown in the preface of Serge Persky and Zhou Zuoren(周作人), following the “Korean tales” and the “Korean Folktales”. They all share a cultural anthropological or folklore cultural relativism perspective, revealing a view that affirms the mind of Koreans and their cultural identity, which is related to the universal ethics and wisdom contained in Korean tales. Moreover, the French version of “Korean tales” and the Chinese version of “Korean Folktales” have special significance as they contain 15 illustrations drawn by Xu Beihong(徐悲鴻). Xu Beihong’s illustrations represent the dramatic moment scene of the story as a lively and elegant visual image, which can be evaluated as an original work. It is a great contribution to making Korean tales a more elegant story with an ‘Eastern atmosphere’. Xu Beihong displayed his artistic ability to turn verbal statements of the story into pictorial statements through illustration production, which is also noteworthy in that he has since provided a circular motif in creating some Chinese Painting.
A Parallel Computation Based State Estimation for Improvement of Computational Speed

Since state estimation is a real-time application program, its computational speed is important as well as accuracy. Therefore, improving the computation speed of state estimation is a very significant issue. This paper studied the method of improving computational speed of state estimation by using the parallel computing technique. In order to apply the parallel computing technique to state estimation, OpenMP was used as a programming tool. This tool is a shared memory programming model that requires no other devices such as GPU(graphics processing unit) and DSP(digital signal processor), and has the advantage of the fastest data transfer rate between memories. This paper proposes an algorithm that divides the entire system into small scales and performs state estimation in parallel with the divided systems. The proposed algorithm can improve the speed of computing state estimation and also the performance of the bad data processing that may happen for some reasons.
LibGuides: Rural Small Business Resources Using Gale OneFile Entrepreneurship: About Gale OneFile Entrepreneurship

This LibGuide aims to assist library staff and their small business patrons with locating resources that will help at all stages of their business development and growth.
Effects of the health beliefs of the elderly on sleep disorders and exercise continuity

The purpose of this study was to verify the influence of the elderly"s health beliefs on sleep disorders and exercise continuation. For the purpose of this study, 300 samples were collected from elderly people aged 65 years or older residing nationwide using the convenient sampling method. Of these, the final 267 copies were used for data analysis, excluding 33 copies with insufficient or missing questions. The collected data were subjected to frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, and multiple regression analysis through the SPSS statistical program. The derived results are as follows. First, it was found that the elderly"s health beliefs had a partial effect on sleep disorders. Second, it was found that the elderly"s health beliefs had a partial influence on exercise continuation. Third, it was found that the sleep disturbance of the elderly had a partial effect on exercise continuation. Based on the results of these studies, it was judged that it wass necessary to provide a program that can improve the elderly"s positive health beliefs, affecting sleep disorders and exercise continuation according to the elderly"s health beliefs.
The Social Essence Of Intelligence

In this article, the social essence and manifestation features of intelect have been studied epistemologically. The essence of the concept of “perception” is revealed through the study of Intelectni gnoseological. There was also a comparative analysis of the psyche of animals and the process of perception in humans.
Krishi Mart – A Multilingual Farmer’s Portal for Better Sales Using Sentimental Analysis

Krishi Mart is an online portal to bring the Farmers and all kinds of buyers on a single platform so that the Farmers can sell their products without the involvement of a third party. Krishi Mart is intended to keep the trade and transaction details between the customers and buyers, also keeping the Farmers at the profitable end. The portal is available in various regional languages keeping the Farmer at ease while updating the details of their products. Farmers can also have access to the portal on their mobile phones through the Krishi Mart app, where the Farmers can sell their products within two categories: small scale orders, large scale orders. Small scale orders will have a fixed rate, and the large scale orders will be placed on the basis of highest bid on that particular order. If some perishable products are not sold within a particular time frame, farmers can sell them outside of the Krishi Mart as per their preference.
Research Guides: Streaming Video at Milne Library: Free Online Video Resources

How to find and use streaming video resources for classes and other educational purposes. Sources of openly licensed or free videos on the web that may be suitable for course content.
Research on Design of Solar Direct Drive Single Cargg

By analyzing the principle of tracking the sun, an electric push rod tracking system is designed to decompose the changes of the sun's altitude and azimuth into linear motion. The system uses a single-chip microcomputer as the controller, and the sun's azimuth sensor provides the sun's position relative to the front and rear of the car., Through AD/DA conversion and IIC communication to provide information to the controller, the controller controls the expansion and contraction of the electric push rod through the voltage difference of the four azimuths to change the horizontal and vertical angles of the photovoltaic solar panel, and realize the automatic control of the sun Tracking, improve photoelectric conversion efficiency. At the same time, the system supports the judgment of too weak sunlight. If the sunlight continues to be too weak within the set time, it will stop and wait. Through the lightweight design of the frame, a weight reduction of 4.5 kg is realized. The tracking system has a simple and reliable structure, strong load capacity, and high tracking accuracy. It can directly drive a single-person car under normal light intensity conditions without consuming energy storage devices.
Collaborative Mind-mapping Using Cloud-based for Lifelong Learning

Lifelong learning allows continuous learning of adult learners in pursuit of enhancements in terms of personal development, social inclusion, competitiveness as well as employability.Previous research has indicated that lifelong learning is usually conducted using individual perceptions such as the use of surveys or small-group focus groups.Yet, collaborative approaches that involve larger number of participants are limited.Moreover, in such approaches, there is also a lack of a common space in which participants can view and share their ideas with other participants.As such, in solving these issues and filling the gaps, we applied collaborative cloud-based mind-mapping in analyzing lifelong learning environments for higher education.The study involves 184 lifelong learners from North, Central and East Malaysia pursuing their postgraduate studies in the field of education.The software used for cloud-based mind-mapping was Coggle that enable real-time collaboration among the lifelong learners.In analyzing strengths, weaknesses, opportunities, and threats in lifelong learning environments, we conducted a SWOT analysis that was based on four aspects: learner management, pedagogical approaches, support system, and best practices.Findings indicated that the collaborative cloud-based mind-mapping could be potentially used in eliciting issues, benefits, limitations, and future improvements of lifelong learning environments.
DEVELOPMENT OF INTEGRATIVE MENTALITY OF THE MUSICIAN STUDENTS IN THE CONTEXT OF THE PEDAGOGICAL COLLEGE

The article captures up to date issues of music education of the secondary professional educational organizations. The complexity and at the same time uniqueness of the music teacher/music director professions are noted, the problem of decrease of applicants' educational background is described. Interviews with teachers of subject-cycle commissions and content analysis of educational and methodological documentation on the disciplines included in the music-theoretical training and interdisciplinary courses from the professional module PM.03 Pedagogical musical and performing activities among educational institutions of the Volga Federal District, confirming the need for transforming the educational process by creating an integrative model of musical and theoretical training were conducted. Scientific research in the field of pedagogical integration is analyzed, it is determined that integration in pedagogy is not only a process and result, but also the principle of development of its theory and practice. As a result of pedagogical integration the integrative thinking is defined. Based on the obtained knowledge the methodological basis for the design of an integrative model was formed. The leading approach to modeling of professional musical-theoretical training of students is the integrative one, which ensures the integrity of professional formation of specialists and is manifested in the extent of integrative thinking, the growth of systematic knowledge, complexity of skills, willingness for self-actualization and self-development. The design of the model of musical-theoretical training is carried out taking into account the implementation of integrative processes at four levels: inter-subject, intra-subject, interpersonal and intrapersonal. The leading principle of modeling the content of musical and theoretical training of students is the principle of integration, which ensures the effective achievement of the goals of the educational process by forming a holistic view of the musical art. To implement this principle, the following tasks are solved: the object of integration is defined, factors that contribute and do not contribute to the integration of the designated objects are identified, and the expected result is defined. According to the results of the functioning of the model, students have developed skills of integrative thinking, performing and pedagogical skills, increased interest and activity in the learning process and the emergence of emotional and value orientations. The article proves the need to use an integrative model of musical-theoretical training of students of a pedagogical college.
Making Widgets Configurable and Interactive

One special thing about widgets is that users can configure them and also interact with them to some extent. In this chapter, you will learn how you can make your widget configurable and interactive so that users will fall in love with your widget. To make your widget configurable, you will use IntentConfiguration. And you will make the views in your widget tappable so that users can tap them and navigate to various screens using deep links. As this chapter has a lot of important things to cover, you may find it longer than other chapters of this book. So, it is a good idea to give this chapter some days and even perform revisions.
The Rise of Distributed Artificial Intelligence Through Shared Data and Cloud Solutions

Decision-makers of present times encounter influence by an ever-increasing emotional condition created by social media, market trends, experience, and historical facts. The concept of mixed human and artificial intelligence is one of the most underrated business drivers today, and conspiracy theories, fixed mindset, and legacy systems are slowing down collective evolution. This paper intends to contribute to the everyday awareness of data sharing through cloud solutions and services. It opens a wide range of possibilities for new solutions and insights that endorse a collaborative culture where a growth mindset paired with transparency and ethics reduces time-to-value in businesses, governments, and various industries. It creates new perspectives with the help of a mixed human and artificial intelligence approach and paves the way to a safer, multi-cultural, sustainable, and ethical future.
Profile Matching Based Business Incubator Tenant Acceptance System

Abstract — Business incubator is an institution that is currently more needed to improve all types of entrepreneurs and startups. Tenant is the name of the fostered partners in the Business Incubator, the performance of the Business Incubator is improved, so the tenants who enter the registration in the Business Incubator also increase. The criteria to be a tenant has many variables, so it takes a long time during the calculation process, with the matching profile that can be customized with several variables needed in this business incubator, it becomes a shorter process and provides a recommendation value for the business incubator director in deciding whether the tenant is accepted or rejected. In table 2 in this paper it is explained that the validity test value of the tenant registration information system using the profile matching algorithm gets values above 0.6 of 1, so that the matching profile matching with the case study registration can be applied to the determination of technopark business incubator fostered tenants.Keywords — profile matching, business incubator, validity test;
Confirmatory Factor Analysis of the University Satisfaction Tool

The study aims to evaluate the three-factor structure in the University Satisfaction Tool.  The second objective of this analysis was to determine whether UST three-factor models are convergent and discriminating. A quantitative methodological analysis was conducted with a sample of 386 university students in Eastern Visayas State University- Ormoc City Campus, Ormoc City, Philippines. Participants were taken using convenience sampling techniques. The hypotheses test on the confirmatory factorial composition of the UST was carried out with latent variable structural equations. The results demonstrated that the fit index rating of the model was satisfactory (X2 = 216.6, df = 87, X2/df = 2.49; GFI=.927; TLI = .923; CFI = .936 and RMSEA =.062); factor loads exceeds 0.40 and there were moderate to strong magnitude item factor correlations (r = 0.38 - 0.68). The Cronbach’s α of the whole scale was 0.74, while its three factors were 0.85, 0.76 and 0.70, respectively.  The composition of the factor scale was valid and reliable, with the exception of one factor. The scale will provide directions for enhancing educational satisfaction. To improve the reliability and dimension analysis and of factors, the scale will be extended to samples of general population. The study leads to further studies on the UST's development and its satisfaction structure.