Reviewerly/exHarmony huggingface dataset:
Instance Segmentation on Real time Object Detection using Mask R CNN

In the ever-advancing field of computer vision, image processing plays a prominent role. We can extend the applications of Image processing into solving real-world problems like substantially decreasing Human interaction over the art of driving. In the process of achieving this task, we face several challenges like Segmentation and Detection of objects. The proposed thesis overcomes the challenges effectively by introducing Instance segmentation and Binary masks along with Keras and Tensorflow. Instance segmentation is used to delineate and detect every unique object of interest according to their pixel characteristics in an image. Mask RCNN is the superior model over the existing CNN models and yields accurate detection of objects more efficiently. Unlike conventional Neural Networks which employs selective search algorithm to identify object of interest, Mask RCNN employs Regional Proposal Networks(RPN) to identify object of interest. For better results Image pre-processing techniques and morphological transformations are employed to reduce the noise and increase pixel clarity.
Book Review: Guide to Streaming Video Acquisitions (An ALCTS Monograph)

Streaming media is prevalent, but it can be a daunting task for those in collection development and acquisitions to determine an appropriate way to provide access to it. This book is for those who have been hesitant to acquire streaming media or feel that they need to evaluate their current strategies regarding streaming media. The book’s stated purpose “is to address the logistics of providing steaming video for the library” (1). The book breaks down the key aspects into ten chapters and includes bibliographic references and an index.
Performance Measurement and ROI Analysis of Non-Profit Organization(NPO)’s Exhibition Projects

The purpose of this study is to measure the performance indicators and analyze ROI of non-profit organizations’ exhibition projects. Four key performance indicators were developed to measure the achievement of the purpose of the exhibition project, and the ROI analysis method of the exhibition was developed to conduct the performance analysis. According to the analysis, the non-profit organization's exhibition project is effective in achieving the business purpose of the non-profit organization and has good return on investment. Through strategic management of booth participant’s performance, it is necessary to strengthen the marketplace and networking function of the exhibition. This study is significant in that it is the first study to measure the performance of non-profit organizations’s exhibition projects and analyze ROI. In the future, it is necessary to expand and implement these studies in other areas of the nonprofit organization.
IoT Based Multi-Terrain Rover for Urban Search and Rescue Application

This paper presents the development of a semi-autonomous exploration perspective (approach) for Urban search and rescue environments (USAR). The developed rescue robot consists of a 2- wheel drive with a traction system capable of traversing in various terrain within a 47-degree inclination. A 2-DOF articulated end-effector is attached to robot, which can reach to a height of 45 cm from the ground, hold and lift the object up to 20 Kg. The robot movement is controlled by RFID andWi-Fi for low latency audio and video feed by a mobile unit. The rover has a night mode with less noise capabilities to aid rescue in dark among various sensors for topography mapping. The objective of the robot is to maneuver with in the narrow-spaces where there is zero-visibility and create space by removing the possible obstacles in the path using the arm. The rover was tested in places with strong EM interference and was found to be viable.
Analyzing Sentiments of German Job References

Filling a vacancy takes a lot of (costly) time. Automated preprocessing of applications using artificial intelligence technology can help to save time, e.g., by analyzing applications using machine learning algorithms. We investigate whether such systems are potentially biased in terms of gender, origin, and nobility. Using a corpus of common German reference letter sentences, we investigate two research questions. First, we test sentiment analysis systems offered by Amazon, Google, IBM and Microsoft. All tested services rate the sentiment of the same template sentences very inconsistently and biased at least with regard to gender. Second, we examine the impact of (im-)balanced training data sets on classifiers, which are trained to estimate the sentiment of sentences from our corpus. This experiment shows that imbalanced data, on the one hand, lead to biased results, but on the other hand, under certain conditions, can lead to fair results.
Literacy Strengthening: A Case Study of Writing Class Program for Elementary School grade

The low interest in reading Indonesian students as one of the literacy skills. As an alternative solution to this, effective literacy improvement programs are needed for elementary school students. This study aims to determine the method of child writer's class program as a program to strengthen children's literacy. The subjects were 20 child writer class participants. In this research, data was taken by a descriptive qualitative method. The object was from students who have in 7th and 11th years old. The program was done by organizes literacy activities such as seminars and writing training. Activities in this program emphasize a percentage of 30.0% of theoretical and 70.0% of writing practice. The results showed that the child in writing activity has strengthened literacy skills. It was caused because they understood the program. The program supported them to increase literacy skills especially writing. This is evidenced by the success of the program in publishing two anthology books written by 67 young writers.
Word Spotting in Handwritten Document Images based on Multiple Features

This paper presents word spotting in handwritten documents based on multiple features. Multiple features are derived using Gabor, Histogram oriented gradient (HOG), Local binary pattern, texture filters and Morphological filters. The real time documents are heterogeneous in nature, for instance application forms, postal cards, railway reservations forms etc. includes handwritten and printed text with different scripts. To spot a word in such documents and retrieving them from a huge digitized repository is a challenging task. To address such issues word spotting based on multiple features is carried out with learning and without learning methods. In both the methods (learning and learning free) texture filters are exhibiting outstanding performance in terms of precision recall and f-measures. To confirm the capability of the proposed method, extensive experiments are made on publically available dataset i.e.GW20 and noted encouraging results compared to other contemporary works.
The Perception Of University Students On Intention To Use Malaysian Nasional Identity Card (My Kad) As A Multipurpose Card

Majority of citizens still not aware of the functions of the identity card. Many Malaysian citizens reject to use this technology due to feel of discomfort and insecurity. Technology readiness index are one of the major factors that affect the intention to use identity card (IC) (My Kad). The key objective of our research is to identify the intention to use identity card as multiple user by University students. The respondents consist of 165 university students from the federal district of Kuala Lumpur. Data been collected using a set of questionnaires administered online using Google Forms software. The data was analysed by using SMART PLS- SEM 3.2.8. The results of the analysis show that students exhibit less attention to the use of MyKad as multi-purpose card technology. This is because MyKad is one of the personal identities and it is considered unsafe to use it as a multipurpose card. The implications of the study, drawbacks of the study as well as future research suggestions have been discussed in detailed
Influence of different domain configurations on WRF solar irradiance estimation at Badajoz (Spain)

&amp;lt;p&amp;gt;Over the last decades, numerical prediction models, such as the Weather Research and Forecasting (WRF), have emerged as one of the most powerful tools for solar radiation exploitation as renewable energy. A reliable forecast of solar radiation is an effective method to account for its variability and facilitate its integration into the grid. This study analyzes the influence of different domain configurations and spatial resolutions on the WRF solar radiation estimation. To this aim, different domain configurations centered on the city of Badajoz (Spain) have been tested. Thus, three different combinations of two nested domains (D01; higher domain; D02; inner domain) defined on a Lambert Conformal projection have been analyzed. Configurations C1 and C2 use the same domains but differ in the resolution of the nested domain (D02): 9 km for C1 and 3 km for C2. C3 has been defined to perform simulations at a higher resolution, consisting of two nested domains of 9 km for D01 and 1 km for D02. Due to WRF&amp;amp;#8217;s requirements on grid ratio between nested domains and computational efficiency criteria, this third configuration uses the same D02 dimensions as C1 and C2, but notably smaller D01 dimensions. All these configurations have employed the same WRF parameterizations. The initial and lateral boundary conditions for the meteorological fields are obtained from the reanalysis ERA5. Finally, the estimated solar radiation for the inner domains at 9, 3 and 1 km has been compared with ground-based solar radiation measurements. The results show a good performance of all the analyzed configurations, with an average relative MABE value of 14.95% and mean relative RMSE of 23.7%. Linear regression analysis between simulated and reference ground measurements have reported a slope of 0.83 for C1, 0.80 for C2 and 0.77 for C3. C3 tends to overestimate the reference measurements, while C1 and C2 tend to underestimate them. This underestimation is more remarkable for C2, likely due to the higher grid ratio in this configuration, 1:9 versus 1:3 in C1. Additionally, the analysis of differences between WRF simulation and reference data with respect to geometrical factors and sky conditions have reported differences between configurations. All these results reveal that different aspects related to the domain configuration, and not only final resolution, can influence the solar radiation forecasting and point out the need to find the most suitable configuration for each specific problem. &amp;lt;em&amp;gt;Acknowledgments.&amp;lt;/em&amp;gt; This work is partially funded by FEDER/Ministerio de Ciencia, Innovaci&amp;amp;#243;n y Universidades-Agencia Estatal de Investigaci&amp;amp;#243;n of Spain through project RTI 2018-097332-B-C22, and by Junta de Extremadura-FEDER through project GR18097.&amp;lt;/p&amp;gt;
Hybridization No. 1: Standing at the Boundary between Physical and Virtual Space

Hybridization No. 1 is a wireless hand-held rotary instrument that allows the performer to simultaneously interact with physical and virtual spaces. The instrument emits visible laser lights and invisible ultrasonic waves which scan the architecture of a physical space. The instrument is also connected to a virtual 3D model of the same space, which allows the performer to create an immersive audiovisual composition that blurs the limits between physical and virtual space. In this paper I describe the instrument, its operation and its integrated multimedia system.
Learning Analytics Dashboard Model to Supervise a Distance Learning

Providing performance measures of training devices becomes a necessity for teachers. Without having them, teachers will have no clue in measuring the goals achieved. However, the analysis techniques available today allow us to go further and to consider new applications to serve the quality and effectiveness of training devices. This article presents the design and the implementation of a system for the supervision of an online course and the different roles involved in a computer environment for human learning. As a result, a description of the needs in terms of dashboards during data observation phases generated during a learning situation will be provided. Our objective is to define all the stakeholders that a dashboard can contain, the different user profiles, their activities, their viewing preferences and their objectives. Our main goal is the design and implementation of a dashboard model that meets all the requirements of different stakeholders of consultation or adaptation rating and customization. This model will give results in the form of different visualization style that will discuss in this article
A Reliable Time Lock Encryption Scheme for Relatively Weak Computational Resources

Time-lock encryption is a type of encryption in which the process is bound by a factor of time that enables previously impossible applications such as secure auctions, mortgage payment, key escrow, or fair multiparty computations. Existing solution approaches of time lock either employ computational overhead to calculate time or use analogues to map the real-world time, hence lacks reliability. We propose a reliable time-lock encryption scheme, where even receivers with relatively weak computational resources can decrypt the cipher after an accurate real-world deadline, without any interaction with the sender. Proposed solution uses time fetched from timeservers over secured https channel for time lock accuracy and strong AES-256 encryption/decryption techniques for reliability. The paper briefly discusses a java based prototype implementation of the proposed approach and the experimental results.
Implementation of a Paschsail Synthesis Learning of Thin Clients

Various cyber informaticians would agree that, had it not been for meddles with, the examination of communication may never have happened. In this work, we Ademonstrate the advancement of DHTs, which embodies the speculative measures of steganography. Remembering the ultimate objective to modify this issue, we perceive how disperse/amass I/O can be associated with the examination of dainty clients.
The Integration of Facebook to Make Teaching and Learning Writing Skill in EFL More Entertaining

The students as EFL learners have difficulty in improving their writing skills. Students are less enthusiastic in compiling their writings, and they also have difficulty in it. Several factors, such as students cause this are less interested in English and less understanding vocabulary and grammar. This study analyzes that Facebook can be used as a more entertaining way of teaching and learning EFL writing skills. This research is library research. This study collects data by analyzing data information. Social networking sites (SNS) in this study use Facebook. The results showed that Facebook was able to encourage student participation and achievement in language learning. There are several steps in implementing Facebook as a more entertaining way of learning to teach EFL writing skills, such as having a Facebook account, online classes on Facebook, assignments or assignments on Facebook, sharing ideas, and feedback. Thus, the application of Facebook as a more entertaining way of learning EFL writing skills gives positive results to students' academic achievement.
Sistem Informasi Akuntansi Kredit Konsumtif CV. Multi Global Perkasa

This research is motivated by the problem of low performance in the company CV. Multi Global Perkasa credit sales techniques for customers who do payment data processing, then the data processing requires quite a long time. Therefore, with the application of the Consumptive Credit Accounting Information System application that has been designed, in the form of reports that can be presented quickly such as customer reports, credit payments and suppliers. Each system is designed to provide supervision and convenience to all transactions carried out by a company so that the performance of a company runs effectively and efficiently.
Execution of Median Filter Built on FPGA for Trimming Noise Meeting the Real Time Requirements

As images plays a vital in all aspects, there is a need to met the real time requirements in processing the image. Major challenges raised in processing the image is noise. The utmost typical difficult is effective denoising creation as well as quick functioning in the processing of digital image noise suppression process for the need of real time consequences to afford image with high quality this project was introduced. Generally filters plays a major role to remove the impulse noise in acquired images. The filter named sliding window spatial filter which is familiar as median filter is effective technique to eradicate impulse noise from the devoleped image. But in real time, it is very difficult to execute. To overcome this, FPGA methodology is introduced to fulfills the support besides the optimization of major constraints like area, speed, power. In addition to this, it assures technical sustenance of eradicating noise in image as per requirements in real time. Regarding the design and structure appearances in FPGA, Xilinx software is used for simulation and code has been written in Verilog language.
Unified enterprise modelling language-based interoperability for collaborative access control framework in critical infrastructures

Due to physical and logical vulnerabilities, a critical infrastructure (CI) can encounter failures of various degrees of severity, and since there are many interdependencies between CIs, simple failures can have dramatic consequences on the whole infrastructure. In this paper, we mainly focus on malicious threats that might affect the communication and information systems (the critical information infrastructure, or CII) dedicated to critical infrastructures. We define a new collaborative access control framework called PolyOrBAC, to address the security problems that are specific of CIIs. This approach offers each organisation taking part in the CII the capacity of collaborating with the other ones, while maintaining a control on its resources and on its internal security policy. The approach is demonstrated on a practical scenario, based on real emergency actions in an electric power grid infrastructure.
A Effective Feature Construction Method for Fall Detection using Smartphone

Recent years, smartphone based fall detection solutions have become research hotspots.These previous algorithms always analyze two types of data (accelerometer and gyroscope) and detect fall event on activities of daily life (ADL) of people which does not consider the case on physical exercise, such as, running etc.In this paper, we propose an effective feature construction method to convert a continuously device motion record to a feature vector which can define the occurrence of a fall event accurately.Base on those feature vectors, a heuristic fusion approach is adopted to extract the fall events on ADL with running.Our method runs on four types of refined and unbiased data (Attitude, RotationRate, Gravity and UserAcceleration) providing by iPhone's Core Motion framework.And 15 volunteers were employed to simulate fall events.The empirical results have demonstrated that the proposed method is effective and reliable on ADL with physical exercise.
Sentiment Trend Analysis of Big Data

Various fields like Text Mining, Linguistics, Decision Making and Natural Language Processing together form the basis for Opinion Mining or Sentiment Analysis. People share their feelings, observations and thoughts on social media, which has emerged as a powerful tool for rapidly growing enormous repository of real time discussions and thoughts shared by people. In this paper, we aim to decipher the current popular opinions or emotions from various sources, hence, contributing to sentiment analysis domain. Text from social media, blogs and product reviews are classified according to the sentiment they project. We re-examine the traditional processes of sentiment extraction, to incorporate the increase in complexity and number of the data sources and relevant topics, while re-populating the meaning of sentiment. Working across and within numerous streams of social media, expression of sentiment and classification of polarity is re-examined, thereby redefining and enhancing the realm of sentiment. Numerous social media streams are analyzed to build datasets that are topical for each stream and are later polarized according to their sentiment expression. In conclusion, defining a sentiment and developing tools for its analysis in real time of human idea exchange is the motive.
News: PhotonicsViews 3/2020

PhotonicsViewsVolume 17, Issue 3 p. 4-8 NewsFree Access News: PhotonicsViews 3/2020 First published: 28 May 2020 https://doi.org/10.1002/phvs.202070302AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat Volume17, Issue3June 2020/July 2020Pages 4-8 RelatedInformation
The use of technological cycles in the management of an educational institution by integrating marketing technologies

The paper discusses the integration of elements of management technology in the management structure of higher education institutions. As a research area, we chose marketing type technologies that determine the possibility of developing and introducing innovations in the process of forming quality educational services. Management in the sphere of education is considered not only as a process activity aimed at increasing the marketing recognition of an educational institution, but also as a consequence of the need for adaptation on the part of the market for the external environment, which determines novelty of the work. Marketing communications, designs and principles of building the administrative structure of an educational institution with the use of a correlation model were considered in this paper.
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Meteoritics & Planetary ScienceVolume 54, Issue S1 p. i-i CoverFree Access Cover First published: 05 March 2019 https://doi.org/10.1111/maps.13172AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Graphical Abstract Volume54, IssueS1March 2019Pages i-i RelatedInformation