scholarly journals A novel audio based human interaction proof for visually challenged users

2018 ◽  
Vol 7 (2.7) ◽  
pp. 289
Author(s):  
Rishi Korrapolu ◽  
Manoj Sai. N ◽  
Kameshwara Rao.M
Keyword(s):  
Instrumental Music ◽  
Human Interaction ◽  
Huge Number ◽  
Overall Performance ◽  
Visually Challenged ◽  
The Web

CAPTCHAs are strategies to recognize human clients and PC programs naturally. CAPTCHAs shield different sorts of online administrations from beast compel assaults and foreswearing of administration via programmed PC programs. Most CAPTCHAs comprise of mages with misshaped content. Shockingly, visual CAPTCHAs constrain access to the a huge number of outwardly hindered individuals utilizing the Web. Sound CAPTCHAs were made to fathom this openness issue. However the presently accessible sound CAPTCHAs have been broken with differing achievement, utilizing the shortcoming in the techniques utilized. Our system, presents the user with an interface that plays a song using instrumental music (nonvocal) randomly selected from some language of users choice. The user is then asked to kind the music composer and then the device estimates whether it is a human or no longer by means of analyzing the response. A person look at turned into conducted to research the overall performance of our proposed mechanism.

scholarly journals A Human-Inspired Control Strategy for Improving Seamless Robot-To-Human Handovers

2021 ◽  
Vol 11 (10) ◽  
pp. 4437
Author(s):  
Paramin Neranon ◽  
Tanapong Sutiphotinun
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Impedance Control ◽  
Human Interaction ◽  
Robotic Control ◽  
Natural Manner ◽  
Object Handover ◽  
Overall Performance ◽  
Survey Responses ◽  
Test Outcomes

One of the challenging aspects of robotics research is to successfully establish a human-like behavioural control strategy for human–robot handover, since a robotic controller is further complicated by the dynamic nature of the human response. This paper consequently highlights the development of an appropriate set of behaviour-based control for robot-to-human object handover by first understanding an equivalent human–human handover. The optimized hybrid position and impedance control was implemented to ensure good stability, adaptability and comfort of the robot in the object handover tasks. Moreover, a questionnaire technique was employed to gather information from the participants concerning their evaluations of the developed control system. The results demonstrate that the quantitative measurement of performance of the human-inspired control strategy can be considered acceptable for seamless human–robot handovers. This also provided significant satisfaction with the overall control performance in the robotic control system, in which the robot can dexterously pass the object to the receiver in a timely and natural manner without the risk of harm or injury by the robot. Furthermore, the survey responses were in agreement with the parallel test outcomes, demonstrating significant satisfaction with the overall performance of the robot–human interaction, as measured by an average rating of 4.20 on a five-point scale.

The Crowd Economy

2017 ◽  
pp. 1-19 ◽  
Author(s):  
Epi Ludvik Nekaj
Keyword(s):  
Mobile Networks ◽  
Digital Transformation ◽  
Human Interaction ◽  
Social Connections ◽  
The Internet ◽  
New Paradigm ◽  
On Demand ◽  
Technological Advances ◽  
Social Productivity ◽  
The Web

A digital transformation is underway. One that is redefining the essence of human interaction and with ideas, share unused resources and create new on-demand services that are customisable and unique. These are only a few examples of real productivity that when layered on the Internet creates an abundance of resources and opportunity. This people-powered abundance is called the crowd economy. It is the way the society lives, works and plays. There is a new paradigm shift that challenges traditional notions of the “norm” while expanding possibilities. The hallmark of the digital age is social connections that are boosted by the web and mobile networks. These technological advances have taken collaboration and cooperation to a level never seen before. Social connections through the web have gone beyond social media likes and shares and has evolved into social productivity - a phenomenon that arises when networked crowds collaborate to solve problems, raise funds, and come up with innovative ideas and solutions.

Spatiality of sound and stream segregation in twentieth century instrumental music

1998 ◽  
Vol 3 (2) ◽  
pp. 147-166 ◽  
Author(s):  
MARIA ANNA HARLEY
Keyword(s):  
Twentieth Century ◽  
Facial Expressions ◽  
Instrumental Music ◽  
Stream Segregation ◽  
Concert Hall ◽  
Pitch Class ◽  
The Web ◽  
A Performance

Let us imagine a situation: a listener seated in a concert hall witnesses a performance by a trumpet player (standing on the stage) of a sequence of four quarter-notes, with the pitches of B[flat ]3–A3–C4–B3. The listener chooses to ignore the immediate physical surroundings and hears one of the following: (i) four trumpet sounds equally spaced in time, (ii) a sequence of intervals – minor second, minor third, minor second, (iii) an instance of set 4-1, (iv) a motive referring to the name of BACH. The `web of interpretants' (term from Nattiez 1987/1990) surrounding a simple musical fact is already quite dense, even though we have only considered its aspects relating to pitch, pitch class and pitch notation (representation by letters). What if the performer's gestures, the facial expressions, the direction of the bell of the instrument became important? Might one say, then, that the music has become theatre?

scholarly journals A Study on Opinion Spamming: Fake Consumer Review Detection

2021 ◽  
Vol 2 (2) ◽  
pp. 1-4
Author(s):  
Aditya S. Bisht ◽  
Keyword(s):  
Big Data ◽  
Learning Strategies ◽  
Online Survey ◽  
Toxic Substance ◽  
Huge Number ◽  
Similar Investigation ◽  
Consumer Review ◽  
Audit Data ◽  
Review Spam ◽  
The Web

Online audits are the most important wellsprings of data about client feelings and are considered the columns on which the standing of an association is assembled. From a client's viewpoint, audit data is vital to settle on an appropriate choice with respect to an online buy. Surveys are for the most part thought to be a fair-minded assessment of a person's very own involvement in an item, however, the fundamental truth about these audits recounts an alternate story. Spammers abuse these audit stages unlawfully on account of impetuses engaged with composing counterfeit surveys, subsequently at-tempting to acquire a bit of leeway over contenders bringing about an unstable development of assessment spamming. This training is known as Opinion (Review) Spam, where spammers control and toxic substance surveys (i.e., making phony, untruthful, or misleading audits) for benefit or gain. It has become a typical practice for individuals to discover and to understand assessments/surveys on the Web for some reasons. For instance, in the event that one needs to purchase an item, one commonly goes to a vendor or audit site (e.g., amazon.com) to peruse a few surveys of existing clients of the item. In the event that one sees numerous positive audits of the item, one is probably going to purchase the item. Notwithstanding, in the event that one sees many negative surveys, he/she will in all probability pick another item. Positive suppositions can bring about huge monetary benefits and additionally popularities for associations and people. This, sadly, offers great motivating forces for input spam. Most of the momentum research has zeroed in on regulated learning strategies, which require named information, a shortage with regards to online survey spam. Examination of techniques for Big Data is of revenue, since there are a huge number of online audits, with a lot seriously being produced every day. Until now, we have not discovered any papers that review the im-pacts of Big Data examination for survey spam identification. The essential objective of this paper is to give a solid and far-reaching similar investigation of flow research on identifying audit spam utilizing different AI procedures and to devise a strategy for directing further examination.

scholarly journals Does exposed JSON data make paid e-songs vulnerable?

2019 ◽  
Author(s):  
Jimut Bahan Pal
Keyword(s):  
Continuous Monitoring ◽  
Fast Rate ◽  
Human Interaction ◽  
Raw Data ◽  
Page Rank ◽  
The Web

JavaScript Object Notation (JSON) is a popular way of interchanging data between the client and servers. It is easy for computers to scan and create JSON objects; is it a secure way of transferring data? If the JSON is exposed, then the answer is no as JSON makes scraping easier. When raw data is scraped from the web it is useless, unless we get the meaningful items from it. With the help of automated bots some companies regularly scrap their competitors’ website for continuous monitoring opponents’ progress, without any human interaction. Google is a good example of scraper which scraps the entire internet at a very fast rate to store in their database, with an intention to implement page rank algorithm that indexes the pages. This paper investigates a popular website, for exposed JSON, to download paid e-songs free of cost. Results show that sites lack security for which it may result in the loss of their earnings.

Data Interactivity in Social Networks as a Strategic Design - An Approach to Fair Trade

2014 ◽  
Vol 631-632 ◽  
pp. 1203-1206
Author(s):  
Miguel Angel Rubio Toledo ◽  
Emiliano Moras Gomez ◽  
Ricardo Victoria Uribe ◽  
Alejandro Higuera Zimbrón ◽  
Arturo Santamaría Ortega ◽  
...  
Keyword(s):  
Fair Trade ◽  
Main Channel ◽  
Huge Number ◽  
Electronic Information ◽  
Communication Tools ◽  
Global Impact ◽  
Strategic Design ◽  
The Common ◽  
The Web ◽  
The Way

Nowadays, the electronic means of communication have an unprecedented impact in the way of projects are developed. The electronic information –due to its nature– has now a more democratic approach of operation, plummeting the power of the great companies and governments. With the creation of the web 2.0, the common users of Internet have now a huge number of communication tools, which allow them to know –in an immediate, measured and effective way– what they or others think or believe. So, the object that has changed as a main channel is the operation by Internet. This current and simple –for many– phenomena, has a deep implication in the way of replanting the new paradigms with a global impact in productive projects as a commerce target.

Discovering Learners' Characteristics Through Cluster Analysis for Recommendation of Courses in E-Learning Environment

2019 ◽  
Vol 15 (1) ◽  
pp. 42-66
Author(s):  
Bhupesh Rawat ◽  
Sanjay K. Dwivedi
Keyword(s):  
Cluster Analysis ◽  
Academic Performance ◽  
Learning Environment ◽  
Learning Process ◽  
Recommendation System ◽  
Learning Systems ◽  
Traditional Learning ◽  
Huge Number ◽  
E Learning ◽  
The Web

With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of ‘e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various tasks based on their goals. However, most of these systems follow a ‘one size fits all' approach where same resources are offered to learners irrespective of their unique learning requirements. Therefore, personalization is required as a part of e-learning systems which offers resources to learners based on their profile. This research aims to perform cluster analyses in order to validate clusters created through a k-means algorithm. The clusters will be used to classify a new learner into its appropriate class and recommend relevant courses. Finally, the accuracy of the recommendation is evaluated using various evaluation metrics. The proposed recommendation system helps learners to improve their academic performance and hence overall learning process as well.

A Web Text De-Noising Algorithm Based on Machine Learning

2014 ◽  
Vol 536-537 ◽  
pp. 516-519
Author(s):  
Xiao Yan Le
Keyword(s):  
Machine Learning ◽  
Information Resources ◽  
Human Interaction ◽  
Information Space ◽  
User Requirements ◽  
Huge Amount ◽  
Distributed Information ◽  
The Web

The Web has become a huge information resources distributed information space, contains a huge amount of various types of Web documents.Search engine, it is difficult to meet different user requirements for the elaboration of the retrieval results.To noise method, this paper proposes a text first to find out the noise page information, then according to the rules of human interaction way to generate a denoising, finally find and remove the noise, the experiments has been proved this method to be effective on improving the accuracy of classification.

The Effect of Instructor's Major/Instrument on Student Melodic Imitation Scores and Tone Quality

2002 ◽  
Vol 50 (1) ◽  
pp. 51-62 ◽  
Author(s):  
Daniel S. Hellman
Keyword(s):  
Instrumental Music ◽  
Music Instruction ◽  
Tone Quality ◽  
The Third ◽  
Performance Quality ◽  
Eighth Grade Students ◽  
Hand Test ◽  
Overall Performance ◽  
Instrumental Music Instruction ◽  
Music Classrooms

Scores obtained from the Intermediate Ear to Hand Test (Dickey & Froseth, 1991) were used to compare melodic-imitation and tone-quality scores between students who played the major instrument of their classroom instrumental music instructor and students who played a different instrument. Data were collected from 20 instrumental music classrooms that included eighth-grade students in the third year of instrumental music instruction. Students who played the major instrument of their instructor obtained statistically significant higher scores on overall performance quality when compared with students who did not, but the effect size was quite small, and there were no effects for the melodic-imitation or tone-quality components of overall performance quality.

scholarly journals Implementasi Load Balancing Web Server Menggunakan Metode LVS-NAT

2013 ◽  
Vol 8 (2) ◽  
Author(s):  
Jefry Alvonsius Rabu ◽  
Joko Purwadi ◽  
Willy Sudiarto Raharjo
Keyword(s):  
Load Balancing ◽  
Response Time ◽  
Web Server ◽  
Vital Role ◽  
Internet Users ◽  
Cpu Utilization ◽  
Overall Performance ◽  
Linux Virtual Server ◽  
The Web

Web server plays a vital role on serving requests from clients. As Internet users grows so fast, the request number increases significantly, thus reducing the overall performance of the web server. One solution is to implement a load balancing system.In this paper, we implement load balancing with Linux Virtual Server to distribute the load to several machines within a cluster. We compared Round Robbin and Least Connection algorithm. The study reveals that load balancing using LVS-NAT can double the throughput output compared to single web server, but less significant on response time and CPU utilization. Implementing LVS-NAT using round robbin algorithm is more robust in optimizing the throughput, CPU utilization, and response time compared to least connection.

Sign in / Sign up

Export Citation Format

Share Document