Reviewerly/exHarmony huggingface dataset:
Academic Majors Recommendation Using Analytical Hierarchy Process and Multi-Objective Optimization on the Basis of Ratio Analysis

In determining an academic majors, the mere information about the departments is not sufficient as the base of taking the decision as one would only know popular majors without being aware of his/her potential. There are also limited recommendations obtained through counseling guidance. By using the Analytical Hierarchy Process (AHP) and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) methods, prospective students get the recommendations of academic majors by putting their preference criteria for the majors. The criteria used are affordable study costs, accreditation of majors, department facilities, student potential to the majors, student interest in majors, future goals, parental advice, self-desire, peer influence, report card scores, previous achievements, passing grade majors and length of study. The Spearman's Rank Correlation method was used to determine the results of the correlation ranking recommendations from the teacher (guidance and counseling teacher) and the system where the weights obtained from the teacher (guidance and counseling teacher) and from the students who filled it through the system. Based on the correlation of the system ranking with the guidance and counseling teacher ranking to 25 students majoring in Natural sciences class XII, the average value of accuracy was 88% with a standard deviation of 0.13. As for the students majoring in social sciences, the average value of accuracy was 97% with a standard deviation of 0.03. From this research, it can be concluded that the Analytical Hierarchy Process (AHP) and Multi Objective Optimization on the basis of Ratio Analysis (MOORA) methods can be used in helping to solve decision-making problems in the recommendation system of academic majors.
O Comércio Ambulante na cidade e a crise do Covid-19

This article aims to analyze the situation of the street vending in the city of Montes Claros, which is located in the north of Minas Gerais-Brazil, during the COVID-19 pandemic.To achieve the objective first, a bibliographic review was carried out, then some information provided by the Municipal Department of Urban Services of Montes Claros about street vending was collected and a field research was conducted in the city center to observe the dynamics of this type of activity in the midst of the crisis, when 10 street vendors were interviewed about how they were facing the current situation.In this sense, the results obtained indicated that street vendors remained in public spaces even with the recommendation of social isolation, in order to obtain resources for subsistence.In addition, these workers find it difficult to sell their goods, due to the fact that there has been a reduction of people interested in consuming, mainly in March and in April, thus exposing the situation of vulnerability and marginalization to which they are subjected to.
Design of Real-Time Monitoring System for Environmental Engineering based on Cloud Computing

Following the biological boundaries variety is significant remembering the ultimate objective to settle on the idea of our condition designing. This paper targets distinguishing and enumerating the adjustments in the natural boundaries. Ecological observing applications dependent on distributed computing utilizes sensors to help in ensuring natural conditions like hotness, air eminence, quake, etc. For example, the PCs can support and give substantially more functionalities to cloud. The noteworthy zones that spread home, enterprises, structures, etc. This is the route toward watching a portion of the element of condition and accordingly giving the highlights to the overseers and customers.
Bilinear cryptography using Lie algebras from p-groups

Pairings are particular bilinear maps, and they have been defined based on elliptic curves whichare abelian groups. In cryptography and security problems use these pairings. Mrabet et al. proposedpairings from a tensor product of groups in 2013. Also Mahalanobis et al. proposed bilinear cryptographyusing groups of nilpotency class two in 2017. In this paper, I develop a novel idea of a bilinear cryptosystemusing Lie algebras from p-groups. First the researcher proposes pairing on Lie algebras from elliptic curves,and then pairings that can be constructed on Lie algebras from some of the non-abelian p-groups.
Management of Atmosphere Resources in Hydrometeorological Disaster Mitigation

&lt;em&gt;Hydrometeorological disaster management in Indonesia such as floods, drought, tornadoes, etc., which occur almost every year in Indonesian territory, is carried out with structural efforts, however, it seems that the occurrence of disasters is still occurring even the intensity is increasing. To minimize the occurrence of hydrometeorological disasters, it is necessary to try a non-structural approach, namely the Weather Modification Technology (WMT). The application of WMT for hydrometeorological disaster mitigation can be used as an alternative solution in disaster risk reduction in Indonesia. The current WMT can be used to increase rainfall, to reduce rainfall, to mitigate floods and to reduce smoke due to forest and land fires. The application of WMT for additional rainfall is able to increase rainfall by about 30%, while to reduce rainfall, it can reduce rainfall by about 30-35%. This technology can be used as an integral part in the management of water resources in Indonesia.&lt;/em&gt;
Stimulation Booklet Content Development for Information and Early Childhood Development

In the context of the availability of literacy sources about early childhood development, the people of Kotaanyar District, Probolinggo Regency are constrained by limited access and understanding.The limited access in this case is the limitation in finding main literacy sources such as books and online literacy content.The limitation of understanding in this case is the difficulty of them (parents of early childhood) to understand content that contains scientific and technical concepts regarding information on children's development.This is due to the low participation rate in taking education in this area.With this problem, researchers conducted research & development of booklets with stimulus content for early childhood growth and development which were made in such a way as to be completed with pictures and by using simple exposures, direct practice, and local language.The content developed is divided according to the stages of developmental age and children's growth, ages 0-12 months, 12-24 months, 24-36 months, 36-48 months, preschool age 48-60 months.The development of stimulation content is divided based on general information on growth and developmental aspects including aspects of motoric physical development, aspects of cognitive development, aspects of language development, aspects of social emotional development.As a basis for development, the main reference was developed from the book "Ibu Pintar Asuh Anak" by dr.Anastasia Ratnaningsih, Sp.A, which was then reprocessed to add stimulus content and child development problems that were found in a typical and contextual manner in the Kotaanyar District community.Presentation in bilingual form is needed so that it can be understood by the local community, who mostly speak the Madura Pendalungan area (slightly different from the language of the island Madurese / origin Madurese).Therefore, after the content and illustration development stage, the researcher translated the booklet into the Madurese Pendalungan language.This is solely done to facilitate understanding of the local community, and also to facilitate early childhood education coaches / socializers to explain in the local language.
PERSON RE-IDENTIFICATION BASED ON ATTENTION MECHANISM AND ADAPTIVE WEIGHTING

Owing to factors such as pose change, illumination condition, background clutter, and occlusion, person re-identification (re-ID) based on video frames is a challenging task. To utilize pixel-level saliency information and discriminative local body information of the image and improve re-ID accuracy in the case of complex pose change and viewpoint difference, a person re-ID network based on attention mechanism and adaptive weight was proposed in this study. Based on the detection of human key points, an attention mechanism was integrated to screen the discriminative information in various parts of the human body. The adaptive weighting method was adopted in the network, providing the extracted local features different weights according to the discriminative information of different human parts. The re-ID accuracy of the network model was verified by experiments. Results demonstrate that the proposed network model can accurately extract the features of discriminative regions in various parts of the human body by integrating the attention mechanism and adaptive region weight, thereby improving the performance of person re-ID. Our method is compared with current widely used person re-ID network models as AACN and HAC. On the Market-1501 dataset, the Rank-1 and mAP values are improved by 4.79% and 2.78% as well as 8% and 3.52%, respectively, and on the DukeMTMC-reID dataset, by 4.92% and 3.26% as well as 5.17% and 3.17%, respectively. Compared with the previous GLAD network model, Rank-1 and mAP values on two experimental datasets are increased by more than 2%. The proposed method provides a good approach to optimize the descriptor of pedestrians for person re-ID in complex environments. Keywords: Person re-identification, Adaptive weight, Attention mechanism, Convolutional neural network
LibGuides: GALILEO Discovery at Columbus State University: Home

This guide will introduce you to the GALILEO Discovery search and provide you with tips and tricks of how to use Discovery to find resources for your research.
An experimental study on the characteristics of a bionic optical fiber

At present, there are many kinds of composite damage self-repair methods, including non-intrinsic self-repair methods such as thermoplastic materials, microcapsules, hollow fibers, blood vessels, nanofibers and carbon nanotubes. However, none of these self-repairing methods can realize the occurrence of perceptual damage. Therefore, this paper proposes a bionic fiber, which has the functions of sensing and repairing damage simultaneously. In the process of developing bionic fiber, we choose quartz glass as the cladding material of bionic fiber, the light curing agent as the fiber core, and the plastic fiber with matching diameters as the light window to close the two ends of bionic fiber. We carried out experimental research on the fiber. Firstly, the micro-load for bionic fiber is carried out to study its micro-bending characteristics. And, the bionic fiber is damaged (micro-crack) by adding load, and the self-repair efficiency of the biomimetic fiber is studied by comparing the output optical power of the biomimetic fiber before and after the damage. Experimental results show that the bionic fiber has certain sensing and self-repairing functions, and its repair efficiency is about 40%, and the repair rate is fast. In order to make up for the large loss of bionic fiber, short bionic optical fiber can be used as the repair element in practical application, and the plastic optical fiber can be used to close the Windows at both ends and the bionic optical fiber part to form the sensing element. Therefore, the proposal of bionic fiber in this paper provides a new way and method for the application of composite material health monitoring and damage self-repair, and also provides an experimental basis for the application research of bionic fiber in intelligent composite material structure.
DESIGN AND IMPLEMENTATION OF INFORMATION CLOUD PLAT FORM FOR ENVIRONMENTAL GEOLOGICAL SURVEY OF DANJIANGKOU RESERVOIR WATER SOURCE AREA

Danjiangkou reservoir is the source of the Middle Route of the South-to-North Water Diversion Project, the geological environment survey of the water source area is very important. During the survey process, the amount of geological environmental data is huge and the degree of comprehensive utilization is low. In order to make more effective use of these data, and meet the needs of multi-source, heterogeneous data management and real-time dynamic update, the paper carried out secondary development on the MapGIS geographic information system platform and the MapGIS IGserver platform, and established the Danjiangkou water source area environmental geological survey data cloud platform based on WebGIS. The establishment of the cloud platform has realized the management and sharing of the geological environment survey results data and field survey data of the water source area. On the basis of studying the characteristics of the geological environment of the water source area, we established a combinable geological environmental quality evaluation system, and realized the cloud evaluation of geological environmental quality. The platform provides geological support for in-depth geological research and analysis and national land planning in the water source area of Danjiangkou reservoir.
Sound System Design in Concert Halls

Introducing a sound system into concert halls which are dedicated to symphonic orchestral music is challenging since natural acoustics are often at odds with the requirements for amplification systems.
LibGuides: Library Assessment Fundamentals: Data & Technology

This page includes resources and information on data topics including data visualization, usage data, and web analytics.
German in the Classroom: Development of a Learning Medium to Support Students in the German Lesson Preparation Course

This research and development pursues the aim to develop an instructional medium in the form of an Android-based application named “Deutsch im Klassenzimmer“ that is intended for German students of Universitas Negeri Malang, who attend the course Unterrichtsvorbereitung Deutsch and will undertake a student teaching internship in high schools. The application serves as a phrase book that contains german classroom phrases and their translation in Bahasa that can be used by German teachers during teaching. The development will be guided by the ADDIE concept from Branch, validated by media design and material experts, and will be tested to 40 students. The data will be obtained through indirect observation and questionnaire and will be analysed using qualitative descriptive analysis. The result of the observation indicates that the phrases that are used by the subjects are learned from the application. The result of the survey shows that the subjects consider the application to be good, helpful, and easily accessed. It is stated, that the application facilitates the learning process and the subjects will continue using the application during student teaching internship.
A Game for Three

Three players alternate taking turns removing stones from a pile that initially contains ten (or more) stones. Each player can take at most five stones. The player to remove the last stone wins one unit from the player who drew previously. The third player wins nothing and loses nothing. What should the players’ strategies be?
Estimation of Indonesian Male Life Table with Survivorship Probability Method in Smoothed Way by using Coale-Demeny’s Life Table

The population of Indonesia in each province are continuing increased every year. The total population of Indonesia in 2010 was 237.641.326, while in 2010 it increased by 32.562.591 people to 270.203.917 people, with the male population are greater than women population. By the population of Open Unemployment Male Rate (TPT) is higher than female, which is 5.31 percent compared to 5.23 percent. Unemployment is one of the ten important events in triggering stress. The male who don't have a job get a higher stress level then female, it found that the male who were unemployed were more risk towards death than female, about 78 percent compared to 37 percent. The purpose of this study is to estimate the life table of Indonesian male population by smoothing it using the Coale-Demeny’s life table based on the 2010 and 2020 Population Census data. The method of this study is Survival Analysis in Smoothed Way by using Coale-Demeny’s Life Table. The result of this study obtained by 58,84 years life expentacy (AHH), means that from 100.000 babies born will be able to live to the age of 58 or 59 years. By the pattern of the number of Indonesian male residents who survive, the result is close to (has similarities) to the pattern of the number of Indonesian male residents who survive that produced by the Central Statistics Agency (BPS-Statistics Indonesia).
Query Optimization on Large Scale Nested Data with Service Tree and Frequent Trajectory

Query applications based on nested data, the most commonly used form of data representation on the web, especially precise query, is becoming more extensively used. MapReduce, a distributed architecture with parallel computing power, provides a good solution for big data processing. However, in practical application, query requests are usually concurrent, which causes bottlenecks in server processing. To solve this problem, this paper first combines a column storage structure and an inverted index to build index for nested data on MapReduce. On this basis, this paper puts forward an optimization strategy which combines query execution service tree and frequent sub-query trajectory to reduce the response time of frequent queries and further improve the efficiency of multi-user concurrent queries on large scale nested data. Experiments show that this method greatly improves the efficiency of nested data query.
A Paradigmatic Model on the Role of Electronic Marketing Capabilities in Promoting Iranian Carpet Export Capacity

The purpose of this study is to investigate the role of e-commerce marketing capabilities in enhancing Iranian carpet export capabilities via a paradigmatic model. In fact, the present study seeks to identify various factors that may influence the role of electronic marketing capabilities in promoting Iranian carpet export capacity. The identified strategies obtained from the paradigmatic model in this study are ranked in order to develop an understanding of the strength of their effects on the outcomes of e-marketing at the international level. In terms of research philosophy, the present study is based on interpretive paradigm and is considered an applied-developmental research in terms of research orientation. The data were collected using semi-structured interviews and a standardized questionnaire. The study population consisted of experts and managers of the carpet industry in Iran, who were selected using purposive sampling. Data analysis was carried out using theme analysis approach in MAXQDA software, and quantitative data were analyzed using interpretive structural modeling in Excel software. The main finding of the present study is to introduce a paradigmatic model of the role of e-commerce marketing capabilities in promoting Iranian carpet export capability. This model identifies and introduces contextual, causal, strategic, and intervening factors as well as the implications of developing e-marketing capabilities with the primary concern of promoting the country's carpet export capabilities. In addition, in the quantitative phase of the study, thirteen strategies affecting two categories of short-term and long-term outcomes were ranked based on the strength of their impact on outcomes.
Implementing Facial Recognition by Interfacing MATLAB Along with Arduino

Facial recognition has become one of the recent trends in attracting abundant attention within the society of social media network. The face is flat and therefore needs plenty of mathematical computations. Facial knowledge has become one in every of the foremost necessary biometric, we tend to witness it from the day-to-day gadgets like mobile phones. Every transportable electronic device currently being discharged includes a camera embedded in it. Network access management via face recognition not solely makes hackers just about not possible to steal one’s “password”, however conjointly will increase the user-friendliness in human-computer interaction. For the applications of videophone and conference, the help of face recognition conjointly provides an additional economical secret writing theme. Face detection technologies are employed in an oversized kind of applications like advertising, diversion, video secret writing, digital cameras, CCTV police investigation, and even in military use. Totally different algorithms are used for biometric authentication. The Kanade-Lucas-Tomasi rule makes use of abstraction common intensity transformation to direct the deep explore for the position that shows the simplest match. Another common face detection rule is that the Viola-Jones rule that’s the foremost wide used face detection rule. It’s employed in most digital cameras and mobile phones to notice faces. It uses cascades to notice edges just like the nose, the ears, etc. Hence, during this paper, we’ve got planned the Viola-Jones rule because the best one supported our application. The rule is employed within the biometric authentication of individuals and also the pictures are kept during processing. The kept information is employed for recognizing the faces and if the information matches, an impression signal is given to the controller. The MATLAB software is employed to relinquish control signals to the motor, which is employed for gap and shutting the door. The input image is fed by a digital camera and also the image is processed within MATLAB. The output is given to the external controller interfaced with MATLAB. The image process field has several sub-fields, biometric authentication is one in each of them because it gains additional quality for security functions these days. The planned system can be employed in residential buildings, malls, and industrial sectors. Thus, this technique is helpful for homemakers to be safer in their homes.
EFURMS An Efficient Scheme for File Upload and Ranked Multi-Keyword Search over Encrypted Data in Cloud

Cloud based services provide scalable storage capacities and enormous computing capability to enterprises and individuals to support big data operations in different sectors like banking, scientific research and health care. Therefore many data owners are interested to outsource their data to cloud storage servers due to their huge advantage in data processing. However, as the banking and health records usually contain sensitive data, there are privacy concerns if the data gets leaked to un-trusted third parties in cloud storage. To protect data from leakage, the widely used technique is to encrypt the data before uploading into cloud storage servers. The traditional methods implemented by many authors consumes more time to outsource the data and searching for a document is also time consuming. Sometimes there may be chances of data leakage due to insufficient security. To resolve these issues, in the current VP Search(VPS) scheme is implemented, which provides features like verifiability of search results and privacy preservation. With its features the current system consumes more time for file uploading and index generation, which slows down the searching process. In the existing VPS scheme time minimization to efficiently search for a particular document is a challenging task on the cloud. To resolve all the above drawbacks, we have designed an index generation scheme using a tree structure along with a search algorithm using Greedy Depth-first technique, that reduces the time for uploading files and file searching time. The newly implemented scheme minimizes the time required to form the index tree file for set of files in the document which are to be uploaded and helps in storing the files in a index tree format. These techniques result in reducing the document upload time and speeding up the process of accessing data efficiently using multi-keyword search with top-‘K’ value.