Reviewerly/exHarmony huggingface dataset:
Energy Efficient Content Based Image Retrieval Recommender System in Mobile Cloud

In current scenario, mobile devices is one of the primary sources of capturing images, due to advancement in sensors and ease of availability of digital cameras inbuilt in mobile devices. Due to high demand for content-based image retrieval applications, there is need to develop efficient methods to handle user image query, measure similarity, and response back with relevant images. But, storing large number of images in mobile device has constraints like huge memory consumption, limited computational capability, wastage of energy in storing, accessing and processing these data. In this paper, Mobile Cloud Computing based content image retrieval (MCC-CBIR) system is proposed, where images are offloaded from constrained mobile devices into resource-rich cloud server, using image compression mechanism. Recommender system is used to retrieve images based on intensity, color, and texture metrics from the cloud. The experimental results reveal less computation time, efficient image compression. Also, performance ratios like precision, relevancy, recall of the retrieved relevant images are also found to be excellent.
Fast Information Retrieval over Encrypted Outsourced Cloud Data

The data used in cloud applications is directly exposed to the cloud service provider, and because of the potential compromise of the cloud, could also be learned by adversaries. When encrypted data is hosted on cloud provided that there are large amount of data files, utilization of encrypted data effectively becomes a very challenging task. In a cloud computing environment, where outsourced data of organizations is shared with a large number of users. These variety of users might be interested in retrieving certain specific data files during a given session. A popular and interesting way to do so is by using keyword-based search. These search techniques facilitate users to search and retrieve data files selectively in which the users are interested. These keyword-based searches are being widely used for plaintext searches. But data encryption poses a challenge to perform keyword search using existing paintext search methods to be used for encrypted outsourced data on cloud. In this paper, we have analyzed the searchable indexes that could be used to make a fast and effective search on encrypted outsourced data and proposed a scheme that could make fast and accurate searches over encrypted outsourced cloud data. Simulation results have revealed that the proposed scheme takes much less time in generating the searchable index as compared to already existing techniques. The vector space model being used earlier for keyword based searches on encrypted data, is relatively time consuming and hence leads to very high time complexity during relevance score calculations as well as index generation for large datasets. Hence the proposed scheme achieves a fast and secure relevance scoring for large number of datasets also and in much less time as compared to the vector space model.
Alaskan Timeosaurs and Interplanetary Human Spaghetti: A Regional Look at Augmented Reality in Special Classrooms

This chapter looks at how augmented reality (AR) has been used as an enrichment activity in special education and other classrooms in Alaska, with a regional focus, including the integrating of Indigenous knowledge. Examples of integrated augmented-reality enrichments and Indigenized replacement curriculum for special education with a critical examination of the way that third party educational programs are permeating the educational system, creating less regional diversity, in lieu of standardization. Examples of differentiated education in augmented reality artist Nathan Shafer’s Peer Art program, part of the Structured Learning Classroom (a classroom for students on the autism spectrum) at Wendler Middle School in Anchorage, Alaska, are anecdotally examined, with an emphasis on ways to use Indigenous thinking over top of special education programs such as Social-Emotional Learning, Social Stories and Social Thinking. Specific analysis of the Dena’ina Athabascan notion of ‘evil’ in their storytelling traditions is overlaid on the way Structured Learning classrooms develop routines to help students on the autism spectrum negotiate their school days.
&lt;b&gt;Detection of Position of Trackside Workers Using 90 GHz Band Millimeter-wave Radar&lt;/b&gt;

In Japan, automatic train operation has been introduced on a restricted number of lines, such as those with no level crossings. More recently there have been plans to expand the introduction of automatic train operation to conventional lines which have level crossings, which increases the importance of having methods for automatically detecting humans and obstacles on railway lines. This paper introduces a test system using 90 GHz band millimeterwave radar and reports the results of tests conducted to confirm its performance specifically for detecting the position of humans on railway tracks. The paper also presents future plans for building a comprehensive railway track monitoring system using 90 GHz band millimeterwave radar.
Speech vocal clustering methods

The problem of increasing the clustering efficiency of vocal speech sounds is considered.Centroid and medoid clustering methods that use normalized distances which increases the efficiency of clustering, are proposed.Characteristics and quality criteria based on them are suggested for these methods.These methods have been investigated on TIMIT database and are intended for intelligent biometric identification systems.
A New Construction of (&lt;i&gt;m&lt;/i&gt;+&lt;i&gt;k&lt;/i&gt;,&lt;i&gt;m&lt;/i&gt;)-Functions with Low Differential Uniformity

(m+k,m)-functions with good cryptographic properties when 1≤k<m play an important role in several block ciphers. In this paper, based on the method introduced by Carlet et al. in 2018, we construct infinite families of (m+k,m)-functions with low differential uniformity by constructing a class of pairwise disjoint special subsets in $gf_2^k$. Such class of subsets Ui are chosen to generate multisets such that all elements in $gf_2^k$ appears as many times as possible in each of these multisets. We construct explicitly such kind of special subsets by linearized polynomials, and provide differentially Δ-uniform (m+k,m)-functions with Δ<2k+1,k≤m-2. Specifically when k=m-2, the differential uniformity of our functions are lower than the function constructed by Carlet et al. The constructed functions provide more choices for the design of Feistel ciphers.
Motivating College Students: Challenges, Consequences, and Remedies

Academic motivation can work both ways. It inspires students as well as instructors at all levels of learning. However, this study gears toward motivation at the college level. When instructors cannot accomplish learning outcomes and observe students dropping the course, come late, miss lectures. and even scheduled tests or exams, these reveal serious problems or challenges. These challenges as well lead to undesired consequences. If this recurs very often, it becomes a phenomenon that needs immediate remedies or solutions. Previous research has focused on many aspects of motivation, theories, definition. Research has reached empirical results that serve all levels of education at elementary, junior, high schools, or colleges. No doubt research in motivation produces answers to questions raised by researches or institutions that look forward to improving the academic environment for students so that students’ goals will achieve the intended outcomes. Therefore, if students’ motivation to learn is enacted, the whole teaching environment will go smoothly. However, when a lack of motivation ends up in failures no matter how teaching methods are easy to apply, the whole academic institution falls apart. Ultimately, students’ main concern becomes focused on getting grades but not on the love of the subject they study. Here motivation plays an important role in the academic life of students when they know why they join college. Unless they have a clear set of goals, and their study does not satisfy their goals, challenges start to appear for instructors teaching them. I keep telling my students, “There is no point in teaching you if you are not willing to learn. Neither can I pour knowledge into your brains.” Speaking of which I remind them of the English proverb: “you can lead a horse to water, but you can't make him drink.” This study provides remedies for students’ lack of motivation at our college. The results of the study were obtained via interviewing students, and observation of their behavior during classes.
An Efficient Approach for Selection of Initial Cluster Centroids for k-means

Choice of initial centroids has a major impact on the performance and accuracy of k-means algorithm to group the data objects into various clusters. In basic k-means, pure arbitrary choice of initial centroids lead to construction of different clusters in every run and consequently affects the performance and accuracy of it. To date, several attempts have been made by the researchers to increase the performance and accuracy of it. However, scope of improvement still exists in this area. Therefore, a new approach to initialize centroids for k-means is proposed in this paper on the basis of the concept to choose the well separated data-objects as initial cluster centroids instead of pure arbitrary selection. As a consequence, it leads to higher probability of closeness of the chosen centroids to the final cluster centroids. The proposed algorithm is empirically assessed on 6 different well-known datasets. The results confirms that the proposed approach is considerably better than the pure arbitrary selection of centroids.
THE LEVELS OF FORMATION OF UKRAINIAN UNIVERSITY STUDENTS' PERSONAL SELF-DETERMINATION IN HIGHER EDUCATION

Purpose: The article defines the levels of formation of the culture of personal self-determination of students of Ukrainian higher education institutions, namely, the formation of culture. This study uses the functional model to emphasize that self-determined behaviors must be defined within the context of the purpose or utility of such behavior for the student. Methodology: Analyze the process of developing students' self-confidence in its social perspective on the basics of Ukrainian education using questionnaires, tests and surveys. The examination included 348 understudies from the control (178 people) and trial (170 people) gatherings and the confirmation phase of the analysis was held at three colleges. Result: Diagnosis and analysis showed the reasons for the low and middle levels of the formation of the culture of personal self-determination of students because there is no clear definition in the content, forms and methods of work. In general, the distribution of students by the levels of effectiveness of life assignments will be illustrated. Applications: This research can be used for the universities, teachers, and students. This qualitative study used a participatory action approach (focus group) to evaluate the perception of teachers, youth and parents of diverse ethnicities with regard to cultural influences on self-determination. Eight groups consisted of youth only, eight of parents only and four groups of teachers only. Novelty/Originality: In this research, the model of the Ukrainian University Students' Self-Determination: Culture Formation Aspect is presented in a comprehensive and complete manner. Also, the main originality used in this study is in the case studies investigated. The cases were students who are the autonomous adolescences among all classified different age groups.
Quality and Match Performance Analysis of Band-Filtered Visible RGB Images

Face recognition performance in operational scenarios is can be improved by using cameras that capture multispectral or hyperspectral images at specific bands within the visible spectrum. Band-selected images have shown promise to improve face recognition performance, but the requisite camera systems needed to achieve multi-filter or hyperspectral imaging are often to complex and cost-prohibitive for many law enforcement applications. In order to find a more cost-effective solution, the work presented here aims to determine if simple band-filtered images, captured by placing bandpass filters on conventional RGB imagers, show any application advantages over broad-spectrum visible facial imagery. After data collection was completed, matching studies were performed to determine what performance enhancement, if any, is gained using band-filtered imaging. Results indicate that image quality may play a bigger role in the facial recognition performance of band-filtered images rather than simple band-filtering alone, warranting further study in this area.
The use of genetic algorithm and particle swarm algorithm in determining egg freshness

In this study, it is aimed to determine the genetic algorithm optimization (GAO) and particle swarm algorithm optimization (PSO) activities in the artificial intelligence applications group. As experimental material, 50 eggs were photographed for 29 days and the images were used as data. According to the findings, the coefficient of determination obtained from the PSO classification was 0.07 and the coefficient of determination obtained from the GAO classification was 0.14. The results obtained from the GAO and PSO algorithms used to determine the freshness of the egg show that both methods are insufficient for the specified purpose. The coefficient of determination obtained were quite low and it was understood that these two methods could not be used to determine the freshness of eggs.
Design and implementation of planting information service system based on GIS

Abstract The information service of planting features various service content; scattered and isolated information; diversity of data source and format, as well as high cost of system operation. Since agricultural production decision-making and management have diversified demands on scientific and technological service, a GIS-based planting information service system was designed and developed. This system integrates the geographic information data and planting service thematic data, which is based on multi-source heterogeneous data integration, GIS spatial analysis, responsive framework and other technologies. Through various terminals such as computers and mobile phones, the system provides land circulation information inquiry, soil fertility analysis, crop variety selection, production materials purchase, agricultural technology guidance, labor employment recruitment, agricultural product sales and other comprehensive information services of the whole planting life cycle. It guides farmers to plant rationally, and helps farmers resolve the issues relating to information islands and the information shortage problem in production and life by “one-stop”, and increase the famers’ income. It can also provide decision-making gist for agricultural administrative departments to adjust planting structure, optimize the rural industrial layout and related policy formulation. Through demonstration in Zhucheng, a new model for serving “agriculture, rural areas and farmers” with surveying and mapping geographic information has been formed in terms of resource integration, geospatial data services, and service information access.
Rethinking bibliographic utilities for library consortia

Purpose The paper aims to critically examine the bibliographic utility as a roadmap to increase library consortia and provide an insight into a new library consortia strategy that integrates librarians into a system of sharing both resources and knowledge. Design/methodology/approach This study adopted a literature review approach with a focus on bibliographic utility as a necessary prerequisite for effective library consortia, which is a paradigm shift from the concept of individual ownership to a collective access of distributed network resources and knowledge. Findings The reviewed literature indicated that significant bibliographic utilities and integrated library systems are factors that shaped and developed consortia activities in libraries. Originality/value The bibliographic utility has limited literature, and a few published scholarly studies have combined bibliographic utility and library consortia as strategies to share resources and knowledge
INTERACTIVE AND ACTIVE TECHNOLOGIES IN TEACHING THE DISCIPLINE “MACROECONOMICS” IN HIGHER EDUCATION

The features and problems of using interactive, active and distance educational technologies in the process of teaching the educational discipline «Macroeconomics» in the preparation of bachelors in higher educational institutions of economic and managerial profile have been analysed. It has been proved, that the above-mentioned educational technologies, while being an urgent necessity and a mandatory requirement of the educational process in the digital age, include various types of breakthrough technologies in modern interdisciplinary scientific research, higher education, economic sciences. It has been substantiated, that these educational technologies are a chance for higher education in the Russian Federation to take a leading position in the world ranking of educational institutions in the context of the country’s membership in the World Trade Organization. The author’s technique of innovative teaching methods in the discipline «Macroeconomics» in the oldest Russian higher education institution has been presented.
Study on Search Engine Optimization

It influences the nearness and presence of a web webpage inside the principal page of a look motor. The perceivability of a web webpage will be paid or unpaid., yet by and large if a web website needs to search inside the top situation after a natural pursuit then PC program advancement is that the most critical vital instrument to utilize. The full web showcasing procedure hovers round the SEO. The calculation utilized in web search tools. Online nearness of an organization isn't just a direct gratitude to reach among the objective clients however it ought to be beneficial as well if advancement is done keeping noticeable of the objective clients as of the method of reasoning that most of the time clients get your hands on with the watchwords of their utilization as opposed to looking through the association name, and on the off chance that the page connect goes in close vicinity to the top positions, at that point the page is additionally gainful.
A Study on Improving Conventional mix of Flexible Pavement using Additive

Roads play a major role in the overall infrastructure development of any country.Any kind of deterioration in roadways needs to be restricted, as it directly or indirectly affects the overall growth of our country.With time, due to environmental exposure, bitumen degrades chemically and becomes brittle.In addition, moisture may penetrate in the pavement/road structure, causing loss of adhesion between aggregates and binder.As urbanization takes place we need to improve old techniques of mix to overcome new problems.This paper presents a laboratory study of modified bitumen containing styrene-butadiene-styrene (SBS).A 50/70 penetration grade base (unmodified) bitumen has been mixed with SBS polymer at different proportions , e.g.2%, 3%, 4%.The mechanical properties of the hot-mix asphalt (HMA) containing SBS have also been analyzed and compared with HMA incorporating base bitumen.The results indicated that the properties of the polymer modified HMA are dependent on the polymer content.Polymer modification improved the conventional properties of the base bitumen such as; penetration, softening point, temperature susceptibility, etc.It was also concluded that, the mechanical properties of HMA prepared with the SBS samples such as Marshall stability were enhanced with the increasing polymer contents.The main goal of our study is to understand the different properties of material used in the mix and to improve the properties of conventional asphalt mix by adding some admixture.
PRELIMINARY DATA PROCESSING FOR LEARNING A NEURAL NETWORK IN THE PROBLEM OF DETECTION AND IDENTIFICATION OF SIGNALS ON THE BACKGROUND OF COLOR NOISES

The article discusses the detection and identification of seismic P wave using a recurrent neural network. The results of the neural network depend on the preparation of the source data. In this research we compared the results of a recurrent neural network with raw data, filtered data and filtered data with added attributes fourth-order autoregressive coefficients. In our experiments on the seismic data we have reached 89,71 % accuracy that have shown this technique to be promising for classification and detection of P wave arrival moment.
Reversible data hiding for binary images based on adaptive overlapping pattern

Abstract Pattern substitution (PS) method (Ho et al., Comput. Stand. Interfaces 31:787–794, 2009) is a recent reversible data hiding method for binary images. It generates one pattern pair, the patterns in which are called PM and PF, and substitutes between them to embed one bit. Two types of PS have been proposed: non-overlapping PS and overlapping PS. However, Dong et al. (ETRI J. 37:990–1000, 2015) states that the overlapping PS sometimes cannot decode correctly, which is called as miscoding problem. Moreover, to the PS-based methods (Ho et al., Comput. Stand. Interfaces 31:787–794, 2009; Dong et al., ETRI J. 37:990–1000, 2015; Dong et al., Lect. Notes Comput. Sci. 6526:3516–3522, 2011), although chosen of two patterns to form the pattern pair which relates the embedding performance much, the previous methods only use a fixed pattern pair during the whole data hiding process. In order to overcome these two shortcomings, this paper proposes an adaptive overlapping PS method. Firstly, two modes of the embedding are proposed so that the miscoding problem can be solved. Secondly, one window which contains the context of current processing pixel is generated and updated when the process proceeds to the next pixel. Thus, the optimum pair of the local context for embedding can be chosen. Thirdly, in order to get a smaller location map, a three-round embedding mechanism is also proposed. With these three improvements, our method can embed larger payloads with less distortion than the previous works.
High-Dynamic-Range and Wide Color Gamut Video

The High-Dynamic-Range (HDRHigh-Dynamic-Range (HDR)) technique, covering the HDRHigh-Dynamic-Range (HDR) content acquisition, distribution and rendering, enables the detail-rich reproduction of images with large brightnessBrightness differences. Besides expanding image contrastContrast range, HDRHigh-Dynamic-Range (HDR) can also contribute to the wideWide Color Gamut (WCG) color gamutColor gamut (WCG). On the other hand, the WCG displayDisplay technique can benefit to mitigate the heatHeat dissipation problem of HDRHigh-Dynamic-Range (HDR) displayDisplay. The popular red, greenGreen and blue three-primary colors can only cover a part of all the visible colors, more than three-primary colors are essential for the WCG purpose. Whereas there exist many solutions for acquiring and displaying videoVideo contents of more than three-primary colors, their distribution poses a challenge, particularly due to the valuable frequency bandwidth. Among others, this chapter will meet this challenge.