Reviewerly/exHarmony huggingface dataset:
Improve Various Service in College ERP By Using Cloud

This departs management answer is meant to interface with a team of workers database, course registration gadget and a body of the workers appraisal gadget. Especially, it is a set of rules that assesses leave requests and schedules the go away asked for durations having less impact on body of workers blend by way of rank and lecturer-to-college student ratio. In pursuance of those, human resource planners might also over-dedicate staff to it, leaving the system understaffed at key moments, or below-decide to it and lose out on the blessings. Both ways, carrier shipping is adversely affected. The algorithm changed in evolved following iterative, incremental process version, in three increments, every executing their corresponding set of requirements. The set of rules changed into carried out the usage of Matlab. The work functions generation of sample data of the instructional body of workers in a specific engineering diploma application. The set of rules, schedules departs for intervals of least impact on carrier transport of university instructional personnel by choosing the 12 months with the least shortfall in to be had group of workers blend thinking about the encouraged group of workers blend. This work presents a leave management solution where the leave request by the university or college staff are processed with service delivery. This leave management solution intended to interface with a staff attendance, assign batch to the teacher, transfer batches, generate salary, etc.Keywords— Staff mix by rank, Leave management,Staff attendance, Generate salary Human Resource Planning.I.INTODUCTION This work presents a leave management solution where the leave request by the university or college staff are processed with service delivery. This leave management solution intended to interface with a staff attendance, assign batch to the teacher, transfer batches, generate salary, etc.In improving teachers’ carrier delivery in the university machine, they have to cross for schooling, allowed on studies breaks in addition to different breaks they may be entitled to. Confronted with this, control of universities tends to over devote numbers to workforce schooling and research holidays, leaving them underneath-staffed at critical moments. As an end result, A few college control react abruptly and check personnel leave requests based totally basically on a wide variety of groups of workers available and those on leave, ignoring extra encompassing criteria like lecturer-tostudentratio, Lecturer-to-course ratio, approved body of workers mix by means of rank and the prerequisites in workforce conditions of service. Ultimately, advantages of manpower training and improvement (within the case of study depart), worker delight (with in the case of sabbatical go away for example) and studies advancement (with in the case of
STEAM 프로그램의 접근 가능성에 대한 초․중등 과학교사들의 인식

The purpose of this study is to find a way to enhance the use of STEAM programs by surveying teachers accessibility and utilization status of STEAM programs developed by the Korea Foundation for the Advancement of Science and Creativity (KOFAC). To this end, 85 elementary and 53 secondary school teachers having experience in STEAM education were surveyed by questionnaires. About 21.7 % of the responding teachers did not have access to STEAM programs provided by the KOFAC. STEAM programs were often applied to regular school hours and creative experience activities. Teachers often applied the STEAM program to classes by improving it (56.1%), and primary teachers were more satisfied with the contents of the STEAM program than secondary school teachers. For the efficient spread of STEAM education, teachers were hoping to be provided excellent STEAM programs that are practically applicable in school curriculum through the KOFAC s STEAM site, and to be trained for improving the ability to develop STEAM programs. In addition, the key ways to enhance the use of STEAM programs were proposed through narrative surveys and in-depth interviews.
LibGuides: Library of Things: Tech

A guide to the non-traditional items available for checking out at the Milton Public Library
One department, four undergraduate computing programs

While most departments accredited by the ABET Computing Accreditation Commission offer only one undergraduate program, the Department of Computing at East Tennessee State University houses three su...
Three IoT Wearables in Six European Cities! Reality and Perception

In the last decade, the Internet of Things (IoT) technology has attracted lots of attention. This paper evaluates the impact of three different IoT technologies represented in three types of wearables; Smart Glasses, Tracking Devices, and Crowd and Staff Wristbands. The deployment of these devices took place in a number of cultural and sports events in six European counties, as part of the European Commission funded project; MONICA. The analysis focused on the usability of the wearables and their impact on safety and security.
CPA on COLM Authenticated Cipher and the Protection Using Domain-Oriented Masking

Authenticated encryption schemes are important cryptographic primitives that received extensive attention recently. They can provide both confidentiality and authenticity services, simultaneously. Correlation power analysis (CPA) can be a thread for authenticated ciphers, similar to the any physical implementation of any other cryptographic scheme. In this paper, a three-step CPA attack against COLM, one of the winners of CAESAR, is presented to indicate its vulnerability. To validate this attack, COLM is implemented on the FPGA of the SAKURA-G board. A successful CPA attack with zero value power model is mounted by measuring and collecting 1,800 power traces. In addition, a protected hardware architecture for COLM is proposed to make this design secure against first-order CPA attacks, where a domain-oriented masking (DOM) scheme with two-input/output shares is used to protect it. To verify these countermeasures, we mount first and second-order CPA attacks and a non-specified t-test on the protected COLM. Keywords: Authenticated Cipher, COLM, CPA, DOM, Masking.
Scientific Horizon of Economics Business Research

Nowadays, in the global environment where we live, the importance and necessity of having serious scientific journals with high standards for publishing the results of the work of researchers it is increasing. As academics are required to publish scientific papers in order to demonstrate their scientific work in achieving academic degrees in higher education institutions, as well as to evaluate their performance, they are encountered everyday with the increased number of invitations to publications with accelerated procedures, without going through a regular procedure of reviewing the work. Day after day the integrity of academic publications is being threatened by publishers and such journals, which aim at material benefits rather than contribution to scientific research. In general, in developing countries there is a gap in the knowledge of scientific researchers in terms of selecting publishers and journals for publication; it often happens that they publish in such journals as a result of the lack of proper information about them.
LibGuides: Thesis Collection: Home

The Pratt Institute Libraries have graduate theses produced by Pratt students going back to the 1960s.
Marker location method based on improved LINE2D under standard condition

This paper mainly studies the image matching algorithm under the standard condition (complete mark points in the target image collected by the industrial camera) to improve the execution speed of the image matching part. The LINE2D algorithm based on similarity measurement converts the similarity calculation of image matching into a table lookup process, which greatly improves the execution efficiency of the matching algorithm. However, it is susceptible to the influence of background interference, resulting in mismatching. The marker point positioning target image studied in this paper has no corresponding depth image. Based on the LINE2D algorithm, the relative gray level information of the image is added to distinguish the inside and outside of the mark points according to the image characteristics of the mark points, so as to obtain the LINEG algorithm, which achieves the accurate image matching while ensuring the efficiency of the algorithm. Finally, the algorithm is verified by using the images under standard operating conditions and compared with the current system performance.
Renton Police seek witnesses and video of deadly shooting connected to street races

Police are asking for witnesses to come forward with any video taken the night three people were shot at a large gathering believed connected to street racing two weekends ago. Detectives in Renton also want to hear from anyone whose car was damaged by bullets.
Risky Business: Analysing the security behaviour of cybercriminals active on a darknet market

Cybercrime thrives and online anonymous markets, or darknet markets, play an important role in the cybercriminal ecosystem. Vendors active on darknet markets invest in security mechanisms to compromise the availability or usefulness of evidence to Law Enforcement Agencies. Therefore, difficulties arise in linking identities or machines to cybercrimes facilitated by darknet markets. As a result, many cybercrime investigations are ineffective. This thesis consists of an exploratory case study based on the full administration of the Hansa Market. The Hansa Market (2015-2017) was infiltrated and eventually taken over and shut down by the Dutch Police. The data used in this thesis originates from the server that hosted the market and is made available by the Dutch National High Tech Crime Unit (NHTCU) and the Fiscal Information and Investigation Service (FIOD). This data is used to answer the research question: “Which factors influence the security behaviour of darknet market vendors active on Hansa Market?”. To answer this question, vendors that are similar regarding a) their experience, b) the activity on other markets, c) the amount of physical items sold, e.g. drugs and d) the amount of digital items sold, e.g. stolen credit card information, are clustered into five `vendor types' using Latent Profile Analysis. It is researched whether these clusters of vendors differ in terms of the following security behaviours observed: a) authentication related security practices (password strength, password uniqueness and two-factor authentication usage), b) encryption of communication, in the form of PGP-adoption and PGP-key strengths used, c) the linkability of a vendors' pseudonym through PGP-key matching and d) a vendors' choice of Online Financial Service Providers within the bitcoin ecosystem, measured by querying a service that provides contextual information on bitcoin transactions and addresses. The findings indicate that approximately causal relationships may be inferred between on the one hand vendor types, that represent a combination of business success in terms of physical and digital sales, experience and activity on other markets and on the other hand security behaviour. Vendors offering digital items tend to behave less securely than vendors selling large amounts of drugs. This thesis explains the observed (differences in) suboptimal security behaviours by arguing that vendors on Hansa Market conduct subjective risk assessments. This implies that the probability of being targeted by LEA and the value of the vendors' assets that are at stake (e.g. informational assets containing incriminating evidence or `years of freedom') are of influence on security behaviour. Lastly, recommendations to Law Enforcement Agencies include to exploit the subjectiveness in cybercriminals' risk assessments and to consider focusing on vendors transacting digital items. Academics are recommended to extend this research by investigating cybercriminal security behaviours through improved measurement methodologies in larger and more recent datasets.
Autoencoder based Communication System using Multi-Dimensional Constellations

This paper proposes an autoencoder based multiple-input multiple-output (MIMO) communication system. The proposed autoencoder learns and optimizes for only line of sight (LOS) component of Rician channel. In addition, we adopt multi-dimensional constellation (MDC) in autoencoder, where it is obtained during learning process of autoencoder by adjusting hyperparameter. Simulation results show that our proposed autoencoder using MDC achieves better symbol error rate (SER) performance compared to conventional communication system which uses quadrature amplitude modulation (QAM) constellation. Furthermore, we confirmed that although proposed autoencoder is learned for only LOS component, it can be applied to random Rician flat fading channels with fading components and channel variation terms.
Incorporación de las TIC en el sistema educacional chileno

Resumen: Se denominan TIC a todas las herramientas de informaci y comunicaci surgidas en la era digital. Sin embargo, a trav del presente trabajo so trataremos la aplicaci de tas en el ea de la Educaci, ya que en la oca en que vivimos es necesario incluir la tecnolog dentro de las competencias necesarias para desenvolverse en la sociedad globalizada. Las herramientas que nos proporcionan las TIC ejercen una gran influencia en el proceso de ensenza-aprendizaje, pues nos permiten como docentes desarrollar nuevas estrategias, acordes con las transformaciones tecnolicas, adem de revolucionar el rol de profesores y alumnos dentro del aula.Abstract: ICT are all communication and information tools emerged in the Digital Age. However, through this paper it will be only discussed their application in the educational field, because in the age we are currently living in, it is necessary to include technology in the competences required to function in a globalized society. The tools that ICT provide have a great influence on the teachinglearning process because they allow us as teachers to develop new strategies according to the technological changes, together with revolutionizing the teacher-student role inside the classroom.
Electronic Health Record Data Sharing Cryptographic Algorithm Based on Blockchain

The data stored into the blockchain is immutable, which enhances the security of the data. In this work, we propose a blockchain-based scheme for electronic medical record data sharing that enables third-party data users to share patient’s data without violating patient privacy. First, we propose a system model of the scheme. The scheme is constructed using a private blockchain and a consortium blockchain. The private blockchain stores the patient’s diagnostic record (DR). The consortium blockchain stores secure indexes composed of keywords of DRs. Diagnostic records and keywords take the form of encrypted ciphertext information. Second, we use public encryption with keyword search (PEKS) technology to achieve a secure search of keywords on the consortium blockchain. In the decryption phase, we use proxy re-encryption (PRE) technology to enable third-party data users to securely access patient data. Finally, we evaluate the performance of the scheme through numerical simulation experiments.
A variant of EAM to uncover community structure in complex networks

Environmental adaptation method (EAM) was developed to solve single-objective optimisation problems. After the first proposal, other variants have been suggested to speed up the convergence rate and to maintain the diversity of the solutions. Among those variants, IEAM-RP works with real numbers. In this paper, a variant of IEAM-RP has been suggested with major changes in adaptation operator to improve the overall performance of the algorithm. In the proposed method, significant attention has been given for balancing exploration and exploitation of individuals in the population. The performance of the proposed algorithm is compared against 14 state-of-the-art algorithms using standard benchmark functions of the comparing continuous optimisers (COCO) framework. Further, to check the effectiveness of the proposed approach, it has been applied to a real-world problem of community detection in complex networks. Again, the experimental results are found very promising and competitive compared to other algorithms.
Robots y derecho de autor: la posibilidad de una autoría cibernética

espanolLa introduccion de la Inteligencia artificial en el campo del Derecho de autor lleva anos produciendo obras generadas por sistemas computacionales. Esta incidencia se traduce para muchos autores en dos consecuencias: La primera, que la Inteligencia artificial, como la humana, puede ser creativa, puede producir obras literarias o artisticas; la segunda, que de tales creaciones deriva una autoria acompanada de la titularidad de los derechos sobre la obra, titularidad que, dice el TR de nuestra Ley de Propiedad intelectual en su articulo 1, corresponde al autor por el solo hecho de su creacion. La primera afirmacion debe ser, a mi juicio, matizada; la segunda, sin embargo, entiendo que debe ser rechazada, y en este trabajo se exponen las razones para ello. EnglishThe introduction of Artificial Intelligence in the scope of Copyright has been producing computer generated works made by AI systems for years. This incidence results, for many authors, into two consequences: The first, that artificial Intelligence, like human one, can be creative, can produce literary or artistic works; the second, that from such creations derives an authorship accompanied by the ownership of the rights on the work, ownership that, says the text of our Intellectual Property Law in its article 1, belongs to the author by the sole fact of its creation. The first statement must be, in my opinion, nuanced; the second, however, I understand that it must be rejected, and in this work the reasons for this are explained.
Optimal Path Planning using RRT for Dynamic Obstacles

Rapidly Exploring Random Tree is a technique that utilizes samples as constraints for arranging the paths from given source to reach multiple goals. A sample is randomly selected from the configuration space. Each data point is represented as a step that helps in travelling of a robot from one point to another. By initiating the search process, the pursuit calculation endeavors to achieve the objective of the proposed work, further the position assisted regions are investigated. However, when compared with A* calculation, the proposed method has a more reasonable good performance. The Simulation results demonstrate for reaching the desired goal starting from a source to destination in dynamic environment.
Tracking the Exploration and Exploitation in Stochastic Population-Based Nature-Inspired Algorithms Using Recurrence Plots.

The success of every stochastic population-based nature-inspired algorithms is characterized through the dichotomy of exploration and exploitation. In general, exploration refers to the evaluation of points in previously untested areas of a search space, while exploitation refers to evaluation of points in close vicinity to previously visited points. How to balance both components properly during the evolutionary process is still considered as a topical problem in the evolutionary computation community. In this paper, we propose a recurrence plot visualization method for evaluating this process. Our analysis shows that recurrence plots are highly appropriate for revealing how particular algorithms balance exploration and exploitation.
Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019

The International Conference on Big Data Analytics and Knowledge Discovery (DaWaK) has become a key conduit to exchange experience and knowledge among researchers and practitioners in the field of data warehousing and knowledge discovery. This study has quantitatively analyzed the 775 papers published in DaWaK from 1999 to 2019. This study presents the knowledge structure of the DaWaK papers and identifies the evolution of research topics in this discipline. Several text mining techniques were applied to analyze the contents of the research fields and to structure the knowledge presented at DaWaK. Dirichlet Multinomial Regression (DMR) is used to examine the trend of the research topics. Research metrics were used to identify conference and paper performance in terms of citation counts, readers, and the number of downloads. The study shows that DaWaK research outcomes have been receiving consistent attention from the scholarly community in the past 21 years. The 775 papers were cited by 4,339 times, marking the average number of citations of each proceeding as 207 times, and the average number of citations per published paper as six times.
A Fall Detection Algorithm Based on a Support Vector Machine

As the world’s population aging degree increasing. The quantity and size of public services for the elderly existed can no longer meet the requirements, the quality of service for the elderly cannot be guaranteed. The size of the special group of “empty nesters” is getting larger and larger. This makes it more difficult to care for the elderly. Due to a decline in bodily functions. Older people are more likely to fall, Falls become one of the most important factors affecting the physical and mental health of the elderly. Wearable sensors are called one of the basic components of smart medical systems in the new era. A series of data such as heart rate and blood pressure changes can be obtained through induction, and send the data back for later study and research. By analyzing the sensor data at the time of falling, design an algorithm to find falls in time, and care for the health of the elderly.
Online swarm exploration in virtual 3D environments : Possible approaches for expanding simulation-based game testing

The use of AI-driven and simulation-based testing of games is becoming a more and more practiced method in the game development industry as present- day virtual 3D environments become more and more ...
HUBUNGAN KECERDASAN KINESTETIK DAN PENGUASAAN KALIMAT EFEKTIF DENGAN KETERAMPILAN MENULIS TEKS ULASAN KARYA SISWA KELAS VIII SMPN 7 KOTA SERANG TAHUN AJARAN 2018/2019

This research aims to know wheter there is relationship between kinesthetic intelligence and effective sentences mastery by students' writing ability on their review text. The research method used survey method through quantitative correlation studies. The population of this study was the eight grade of SMPN 7 Kota Serang with 346 students and the sample was 50 students by using simple random sampling. In field, data was collected by using checklist sheet such as; objective test, and subjective test for their kinesthetic intelligence and review text testing. The analysis technique used description analysis technique and analysis requirements testing by normality test, linearity test, and multicollinearity test. Hypothesis testing used a simple and multiple test. So, the result of normality test which is obtained X1 is 0,797, X2 is 1,103, and Y is 1,134. Therefore, the data was normally distributed. The linearity test showed that the result X1 and Y are 1,334 and X2 and Y are 0,474. The multicollinearity test X1 and X2 showed a tolerance values are 0,352 also VIF X1 and X2 are 2,838. Multiple significance test indicated Fcount is 38,354. Variables had a significant relationship. The result of research proved that kinesthetic intelligence was needed to help process all information including language activities and effective sentences were needed in writing activity especially the text purposed for general public such as; review text.
RRCLibrary: Video Resources: Searching for Videos

RRC Library offers thousands of educational videos, documentaries and feature films. Learn more about our video collection here. Simple steps to find videos (DVDs and/or streaming) using RRC Library's OneSearch.