Reviewerly/exHarmony huggingface dataset:
Malfeasance Factual Anatomization

Data analysis is one amongst the hard tasks within the coinciding world.the dimensions of knowledge is increasing at a awfully high rate owing to the sexual practice of peripatetic gadgets and sensors connected.to create that information legible is another difficult task.The dataset contains sure columns like State, District, year, Rape, dowry Deaths, snatch and Abduction, Assault on girls, Insult to modesty, Cruelty by husband and importation of ladies. This analysis is extremely vital to grasp within which state or within which District most variety of cases happened and within which Year what proportion specific offense happened and plenty of a lot of. to try to to this analysis we tend to used Hadoop, Pig, Hive, etc. Hadoop is one amongst the most effective and economical tools to figure on an outsized dataset, we are able to conjointly work on live information sets like twitter data by mistreatment Hadoop. There square measure regarding quite one hundred tools in Hadoop and every tool has its specific specification. It works on each style of information whether or not it's Structured, or Unstructured. Hadoop is extremely low cost as a result of it's ASCII text file and may store an outsized quantity of knowledge, it makes analysis terribly straightforward. we tend to simply got to apply queries to search out the vital info from the info. we are able to use it on Ubuntu and on Cloudera that is that the IBM info sphere. Predictive analytics is that the branch of the advanced analytics that is employed to create predictions regarding unknown future events. prophetical analytics uses several techniques from data processing, statistics, modeling, machine learning, and AI to research current information to create predictions regarding future. In our project we tend to square measure mistreatment machine learning to perform prophetical analysis.I.
LibGuides: Read Diverse Books at WCL: LGBTQIA+ Voices

A guide to diverse literature you can check out from the library system. Books and resources about the LGBTQIA+ experience.
Detection of Fake Online Reviews using ML

Online audits have incredible effect on the present business furthermore, trade.Basic leadership for acquisition of on the web items generally relies upon surveys given by the clients.Thus, shrewd people or gatherings attempt to control item surveys for their own advantages.This paper presents a few semi-supervised and supervised content mining models to recognize counterfeit online audits just as analyses the productivity of both procedures on dataset containing lodging surveys.
DETECTION OF CONCEPTUAL AND OPERATIONAL ERRORS MADE BY STUDENTS TAKING AN INITIAL MATHEMATICAL ANALYSIS SUBJECT

DETECTION OF CONCEPTUAL AND OPERATIONAL ERRORS MADE BY STUDENTS TAKING AN INITIAL MATHEMATICAL ANALYSIS SUBJECT
A Method for Scene Text Style Transfer

Text style transfer is a challenging problem in optical character recognition. Recent advances mainly focus on adopting the desired text style to guide the model to synthesize text images and the scene is always ignored. However, in natural scenes, the scene and text are a whole. There are two key challenges in scene text image translation: i) transfer text and scene into different styles, ii) keep the scene and text consistency. To address these problems, we propose a novel end-to-end scene text style transfer framework that simultaneously translates the text instance and scene background with different styles. We introduce an attention style encoder to extract the style codes for text instances and scene and we perform style transfer training on the cropped text area and scene separately to ensure the generated images are harmonious. We evaluate our method on the ICDAR2015 and MSRA-TD500 scene text datasets. The experimental results demonstrate that the synthetic images generated by our model can benefit the scene text detection task.
Committees: Fifth International Conference on Quantum Technologies (ICQT-2019)

First Page
Incorporation of E-textile into the textile engineering master and doctorate program

The following topics are dealt with: computer aided instruction; educational courses; teaching; electronic engineering education; electronic engineering computing; computer science education; student experiments; educational institutions; laboratories; and field programmable gate arrays.
The Information Maximization Principle

Path independence implies that samples from an NFL fitness measure are chaotic and unpredictable. In this chapter we discuss how the predictability of non-NFL fitnesses can be exploited to optimize over search methods. First, we introduce fitness measures with some degree of predictability, emphasizing that such fitness measures can cover a wide range of settings for search and optimization.
Adaptif 2-D LMS Filtre Gömülü Kenar Algılama Uygulaması

In this numerical study the effect of embedding two-dimensional least mean square (TDLMS) adaptive filter into various edge detection systems is discussed. TDLMS and edge detection modules are arranged in the system scheme in a manner such that they work sequentially. TDLMS algorithm is commonly used in many various image processing applications. Due to its ability of updating filter coefficients without needing any a priori assumptions, TDLMS provides superior advantegeous in 2-D signal processing applications. We investigated the performance increment of TDLMS especially on the commonly used edge detection algortihms in the literature such as Canny, Sobel, Prewitt, Roberts and LoG (Laplacian of Gaussian). It is observed that embedding TDLMS is particularly useful in edge detection for low SNR images comparing to high SNR images. The simulation results clearly show TDLMS filter provides significant improvement for the edge detection implementation on a relatively lower SNR case comparing to a higher SNR case. Especially, TDLMS embedded Sobel, Prewitt and Roberts implementations have relatively better results than TDLMS embedded Canny and LoG implementations for a low SNR image. On the other hand, for relatively higher SNR case, embedding TDLMS filter into the edge detection system does not provide as much significant improvement as in relatively lower SNR case. But still, for a high SNR case, TDLMS embedded Canny implementation have relatively better results than TDLMS embedded Sobel, Prewitt, Roberts and LoG implementations.
A Multi-level Access Technique for Privacy-Preserving Perturbation in Association Rule Mining

Data generated by the digital media is enormous day by day. Privacy-preserving perturbation techniques such as additive, multiplicative, geometric, differential privacy provide reliable and safe data publicizing, where sensitive data stored in the database cannot be inferred from the published data. Existing privacy-preserving perturbation techniques focus on publishing a single copy of data assuming that the user has the same privacy level of data, but the user has data at different sensitive levels that can be shared to improve the business. Even though the user data can be stored in the selective levels of data, it increases the storage barrier which incurs high cost to the company. In this paper, a multi-level access technique for privacy-preserving perturbation in association rule mining is proposed, which generates multiple copies of data at different privacy levels. We evaluated the proposed technique with the existing privacy-preserving technique with a real-world dataset, and our result shows that the proposed technique has more number of hidden rules and less number of lost rules.
Evolutionary Annealing in Euclidean Space

Evolutionary annealing was developed in the last chapter as a general-purpose optimization technique. This chapter presents an application of evolutionary annealing to the space of finite real vectors. Experiments are performed to compare real-space evolutionary annealing (REA) on the set of benchmarks and algorithms from Chapter 11.
Leveraging Ethical Hacking in Russia

Our increasingly internet-connected world has yielded exponential demand for cybersecurity. However, protecting cyber infrastructure is technically complex, constantly changing, and expensive. Small organizations or corporations with legacy systems may struggle to implement best practices. To increase cybersecurity for organizations in Russia, we propose fostering a culture of ethical hacking by supporting bug bounty programs. To date, bug bounties have not had the same level of success or investment in Russia as in the United States; yet, we argue that bug bounty programs, when properly established, institutionalize a culture of ethical hacking by establishing trust between talented hackers and host organizations. This paper will first define ethical hacking and bug bounty programs. It will explore the current bug bounty landscape in Russia and the United States. Based on issues identified, we will proceed to offer a set of best practices for establishing a successful bug bounty program. Finally, we will discuss some considerations for setting up bug bounty programs in Russia.
Strategy for Improving Quality of Service in Management of Library in Tadulako University

The main problem in research is that the quality of library management services at the University of Tadulako is not yet optimal. This study aims to study and analyze the library service quality strategy carried out by library officials at Tadulako University. This research was conducted using a mixed method, through two approaches namely quantitative and qualitative (mix method). The data collection is done through questionnaires, participant observation, and interviews. The results of the study found that the quality of library services is largely determined by the completeness of facilities and infrastructure, reliability, responsiveness of officers, the ease of service processes and security guarantees while in the library building. This study concludes that in order to improve the quality of library services, it is needed a strategy to improve the quality of services based on information technology (IT). The strategy that needs to be done to improve the quality of library services is the service diversification strategy, which is a strategy that focuses on optimizing the use of force to reduce threats.
“Reading,” from Bedroom Performances

“Reading,” from Bedroom Performances Jue Wang (bio) “Reading” is a stand-alone piece from the immersive music theater series entitled Bedroom Performances. It focuses on Alice James, a historical figure who died just before the first feminist wave. She was the younger sister of Henry James and William James. From a young age, she showed abundant literary talent; however, like many other women of the period, Alice felt uncomfortable exhibiting her brilliance in public. She sensed an invisible wall between herself and the male-dominant society and therefore remained in her comfort zone (i.e., her bedroom) throughout most of her life. This duet piece revisits Alice’s fear of speaking in public. I have used vocal sounds that comprise only vowels. I hope that the lack of consonants allows the audience to experience the frustration of an inability to speak. General 1 measure = 5 seconds — Breath out — Breath in, cancel “breath in” — Short, normal, and long fermatas (the lengths of fermatas are roughly proportional; the actual length of each is determined by the performers) — Gesture 1 is quickly followed by gesture 2 [End Page 178] For Voice — Airy sound — Half airy sound — Relative pitch — Relatively high pitch, Highest pitch possible — A vomiting gesture with a closed mouth shape For Flute The fingerings for multiphonics are located at flutecolors .com. — Full tone, half tone, no tone Staging The flutist stands behind the singer and leans forward to read the score held by the singer. The singer sits on a chair and holds a score (recommended size 11″ × 17″) [End Page 179] Click for larger view View full resolution [End Page 181] Click for larger view View full resolution [End Page 182] Click for larger view View full resolution [End Page 183] Click for larger view View full resolution [End Page 184] Click for larger view View full resolution [End Page 185] Click for larger view View full resolution [End Page 186] Jue Wang jue wang is a pianist and composer based in New York City and Miami. Jue’s recent compositions combine acoustic instrumental performances with visual and sound installations. Through presenting raw and physical sound materials in unusual close-up performance spaces, her work stimulates a sense of intimacy for the audience, addressing the dialectic relationship between private and public in a performance. Her ongoing immersive theatrical music project series, titled Bedroom Performances, brings together theatrical and magical elements in the most immersive sense. Jue is the founder and the artistic director of It’s a Secret Performance, an artists collective whose work focuses on immersive music theater performances with multimedia settings. Copyright © 2020 Suzanne G. Cusick
KARG(O)N/242

Author(s): Pellegrino, Francesco | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
On the Robustness of Object Detection Based Deep Learning Models

Object detection is one of the most popular areas in the field of computer vision and deep learning. Several advances have been reported in the literature showing promising object detection results. However, most of these results use databases of images that have been collected under almost ideal conditions and tested with input images mostly not representative of real life imagery. When tested with challenging data, most of these object detection models break down.The objective of this work is to quantify the performance of the most recent object detection models in the presence of realistic degradation in the form of differing levels of brightness, saturation, contrast, Gaussian blur, image size, sharpness, Gaussian noise, speckle noise, and salt and pepper noise. We have selected Faster RCNN as a typical model that is representative of the state of the art. We have used a binary class dataset from our laboratory for testing: Aphylla. We have also selected a popular multi-class dataset widely used by the community for our work: VOC2007.We have conducted the following experiments (1) ran the model on the original pristine dataset and recorded the mAP score result, (2) ran the model on nine methods of degradation with 12 levels in each and recorded the mAP score results, and (3) compared the degradation results to one another to determine the model robustness. These experiments led to the clustering of the degradation models into three categories: high, medium, and low impact. These categories are based on the fluctuations within the results. The first class containing brightness and contrast resembles a Gaussian-like bell shaped curve with a plateau at the top. The second cluster contains Gaussian blur, image size, and all three types of noise resembles an exponential decay. The third category contains saturation and sharpness and has shown a small reduction in performance, which stays mostly uniform throughout the range.The value of this research comes from studying the results and providing consistent guidance to the user as to which level of image degradation needs to be dealt with at a pre-processing stage to alleviate the drop in performance.
RANCANG BANGUN APLIKASI BELAJAR AKSARA SUNDA BERBASIS ANDROID

Related to the digital era, which is the era or era in which the use of human needs tools uses numbers. The flow of information and globalization that continues to develop rapidly, making access to information obtained is also fast. Design is the depiction, planning and sketching or arrangement of several separate elements into a single, functioning whole. This application was created to introduce Sundanese culture about Sundanese script, the introduction application is offline or does not require internet access. The results of the questionnaire given, from the first question get a total of 21 answers yes, second question get 25 answers yes, third question get 24 answers yes, fourth question get 23 answers yes, fifth question get 25 answers yes, sixth question get 25 answers yes , the seventh question gets 24 answers yes, the eighth question gets 13 answers yes, the ninth question gets 21 answers yes, and for the last question gets a total of 25 answers yes. Keywords : ICT for Child Education, Design, Application, Android
Classification of Phonetic Characters by Space-Filling Curves

Ancient printed documents are an infinite source of knowledge, but digital uses are usually complicated due to the age and the quality of the print. The Linguistic Atlas of France (ALF) maps are composed of printed phonetic words used to locate how words were pronounced over the country. Those words were printed using the Rousselot-Gillieron alphabet (extension of Latin alphabet) which bring character recognition problems due to the large number of diacritics. In this paper, we propose a phonetic character recognition process based on a space-filling curves approach. We proposed an original method adapted to this particular data set, able to finely classify, with more than 70% of accuracy, noisy and specific characters.
Review of Optimization Methods

Modern optimization methods of optimization originated in the seventeenth century with the discovery of the calculus. Until the advent of the digital computer, however, analytic solutions and fast-converging iterative methods were the only practical means of performing optimization. The introduction and proliferation of computing technologies widened both the scope and the number of optimization problems.
SISTEM MONITORING PERKEMBANGAN PROYEK BERBASIS ANDROID PADA PT. WASKITA SRIWIJAYA TOL

PT. Waskita Sriwijaya Tol is a company that employs toll road construction projects in South Sumatra. In the process of working routine activities are carried out, namely the process of monitoring the development of projects that are being done in the field so that some data is taken as a report to the head office where the reporting process is still manually, namely with report books and also using social media Whatsapp, however, the system has its own problems, considering there are still many obstacles that exist, the data is prone to damage and the limited capacity of the data sent so that it is less efficient. From these problems, the author took the initiative to create a monitoring system for the development of android-based projects at PT. Waskita Sriwijaya Tol uses the R & D or Research and Development method as a research method and the System Development Life Cycle (SDLC) as a system development method, so that these problems can be resolved and the work is more efficient.
The instant communication of political hate speech

Chapter 9 deals with the problem of the illegal, or incorrect, use of new technologies in electoral and political contexts. The central section analyses the figure of the politician/influencer, for example those politicians who use the network and social networks to create a network of followers in order to be able, then, to disseminate messages, often of hatred, that have a great impact on society. The final part shows the four main elements that characterize online political life today: personalization, disintermediation, simplification and a new speed of politics.
LibGuides: Getting Started @ the Bentley Library -- Online!: Borrowing from Other Libraries

Learn all of the resources and services available to you through the Bentley Library online - no visit to our library building required!
Use of e-Resources by arts faculties of deen dayal upadhyaya gorakhpur University, Gorakhpur: An evaluation

The present study examined the use of e-resources by the teachers of arts faculty in Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur. The study based on the responses obtained from the faculty members. The aspects in respect of the use of e-resources constitute the level of awareness, frequency of access, purpose, motivation, and constraints among faculty members. A structured questionnaire was used to collect data from a sample of 102 faculty members. Findings revealed that all the respondents aware of the use of e-resources and they are using electronic resources for academic purposes. Having access to a wide range of e-books, e-journals and databases, increased access to current information and to prepare for study and carryout research are the major motivation when using e- resources by faculty members. Need for some literacy while accessing e-resources and difficulty in finding relevant information were key constraints of e-resources use in the study.
IMPLEMENTASI ALGORITMA GREY WOLF OPTIMIZER (GWO) DI TOKO CITRA TANI JEMBER

Generally, optimization is defined as the process of determining the minimum or maximum value that depends on the function of the goal, even now there are many problems regarding optimization. One of them is the problem regarding the selection of goods to be included in a limited storage medium called Knapsack problem. Knapsack problems have different types and variations. This study will solve the problem of bounded knapsack multiple constraints by implementing the Grey Wolf Optimizer (GWO) algorithm. The problem of bounded knapsack multiple constraints has more than one subject with the items that are inserted into the dimension storage media can be partially or completely inserted, but the number of objects is limited. The aim of this study is to determine the results of using the Grey Wolf Optimizer (GWO) algorithm for solving the problem of multiple constraints bounded knapsack and compare the optimal solutions obtained by the simplex method using the Solver Add-In in Microsoft Excel. The data used in this study is primary data. There are two parameters to be tested, namely population parameters and maximum iteration. The test results of the two parameters show that the population parameters and maximum iterations have the same effect, where the greater the value of the population parameters and the maximum iteration, the results obtained are also getting closer to the optimal value. In addition, based on the results of the final experiment it is known that the comparison of the results of the GWO algorithm and the simplex method has a fairly small percentage deviation which indicates that the GWO algorithm produces results that are close to the optimal value.&#x0D; Keywords: GWO algorithm, Knapsack, Multiple Constraints Bounded Knapsack.
Library and Academic Services: Computer-Aided Design/Computer-Aided Manufacture (CAD/CAM): Welcome

This guide includes videos, ebooks, and books that will assist you with studying computer-aided design and computer-aided manufacture.
Desafíos que afrontar para el mundo post pandemia

Although the world has experienced other situations of pandemics, it must be clear that the societies were totally different, we live in a totally globalized and technified environment where you live to work instead of being the opposite, the human being spends more time working and producing than living and sharing at home with the family. The pandemic has opened the eyes of the world and has put into perspective what is most important to us as a society, which is undoubtedly health. The research methodology is a bibliographic review. The conclusion is that all the actors in society have to undergo changes, the health sector must be more prepared, always go one step further, citizens have understood that they have lost and can continue to lose if another pandemic occurs, the education sector is still pending, virtual education does not work if the tools available for it are not accessible to the whole, among many other challenges and challenges that must be faced to be a much better society.