Peer To Peer Real-Time Communication Using WebRTC

The covid-19 pandemic has led to things happening virtually. Students are attending their classes in online mode. More than 50 percent of the working population is working from home. Online meetings have become necessary part of everyone's life. With the existing platforms, users need to setup or install packages on their systems to run the application which sometimes becomes confusing for first timers or non-technical people. This paper proposes to build a full-fledged feature rich web-based video conferencing application using WebRTC technology. WebRTC is used to enable real time audio and video communication from a web browser without the need of installing software or plugins so that users can focus on their work rather than worrying about how to use a video conferencing platform.

Effect or Program Constructs on Code Readability and Predicting Code Readability Using Statistical Modeling

In software, code is the only part that remains up to date, which shows how important code is. Code readability is the capability of the code that makes it readable and understandable for professionals. The readability of code has been a great concern for programmers and other technical people in development team because it can have a great influence on software maintenance. A lot of research has been done to measure the influence of program constructs on the code readability but none has placed the highly influential constructs together to predict the readability of a code snippet. In this article, we propose a novel framework using statistical modeling that extracts important features from the code that can help in estimating its readability. Besides that using multiple correlation analysis, our proposed approach can measure dependencies among di erent program constructs. In addition, a multiple regression equation is proposed to predict the code readability. We have automated the proposals in a tool that can do the aforementioned estimations on the input code. Using those tools we have conducted various experiments. The results show that the calculated estimations match with the original values that show the effectiveness of our proposed work. Finally, the results of the experiments are analyzed through statistical analysis in SPSS tool to show their significance.

Perceived benefits of CRM in selected Industries

Customer Relationship Management (CRM) is an enterprise approach to understand and influence customer behavior through meaningful communication in order to improve customer acquisition, customer loyalty and customer profitability. CRM can be viewed as an approach to accomplish upper hand. In addition, CRM is tied in with recognizing an organization's best customers and augmenting the incentive from them by satisfying and retaining those. CRM can be seen as a way to achieve competitive advantage. Therefore, the definition for CRM is “A business strategy to manage interactive customer relationships to optimize long-term customer value and satisfaction”. The aim of this paper is to identify and seek the opinion of the marketing and technical people in service and manufacturing organizations with regard to perceived benefits of CRM which are the promises of software package before implementation are realized through the implementation of CRM in both service and manufacturing industries.

A Real and Accurate Fake Product Detection System and Generate Original Reviews Using Data Mining Mechanism

Most of the people requires genuine information about the online product. Before spending their economy on particular product can analyze the various reviews in the website. In this scenario, they did not identify whether the product may be fake or genuine. In general, some reports in the websites are good, company technical people itself add these for making the product famous. These people belong to media and social organization teams, they give reviews with a good rating by their own firm. Online purchasers did not identify the fake product because of this falsification in the reviews of the website. In this research,the SVM classification mechanism has been used for detect the fake reviews by using IP address. This implementation helpful for users find out the correct review of online product. In this accuracy is improved by 98.79%, F1-Score increases by 10%.

How to Evaluate the Security and Performance of an Image Encryption System

Almost all technical people know about images and image encryption, but some of them are not aware of the security and performance of the encryption systems. All image encryption systems are capable of encrypting the images, but some are not so secure. However, the question is how to evaluate the encryption systems. This paper gives you what are the analyses that are possible for evaluating the security and performance of the encryption systems. We hope this paper gives you an insight into Images, Image encryption, Security attacks, Noise and information loss, Evaluation Criteria, Analysis, Resistance, Key, Speed, Complexity, and other parameters.

Features of a Good Story for Non-Technical Adults to Learn Emerging Technologies

The need to learn emerging technologies such as artificial intelligence is increasingly important not only for technical people but also for non-technical people. Previous studies showed the effectiveness of a story-based teaching method for both technical and non-technical people who want to learn emerging technologies. However, the difference between the story-building methods for technical people and non-technical people is not revealed. The purpose of this research is to pro-pose perspectives that reveal the differences in the stories used for emerging technology education and identify the effective story features suited for non-technical adult learners by comparing the different story-building methods used for technical people and non-technical people. In this study, we classified the story types into two perspectives: "past to present" and "present to future" and compared the two story-building methods in these perspectives. The novelty of this research is that the proposal of perspectives that reveal the differences in the stories used for emerging technology education and that we have identified the features of one of the effective stories suited for non-technical adult learners. We al-so examined the possibility of leveraging such differences in solving the issues that a class of non-technical people called conversational programmers is facing.

IVAN: An Interactive Herlofson’s Nomogram Visualizer for Local Weather Forecast

In 1947, N. Herlofson proposed a modification to the 1884 Heinrich Hertz’s Emagram with the goal of getting more precise hand-made weather forecasts providing larger angles between isotherms and adiabats. Since then, the Herlofson’s nomogram has been used every day to visualize the results of about 800 radiosonde balloons that, twice a day, are globally released, sounding the atmosphere and reading pressure, altitude, temperature, dew point, and wind velocity. Relevant weather forecasts use such pieces of information to predict fog, cloud height, rain, thunderstorms, etc. However, despite its diffusion, non-technical people (e.g., private gliding pilots) do not use the Herlofson’s nomogram because they often consider it hard to interpret and confusing. This paper copes with this problem presenting a visualization based environment that presents the Herlofson’s nomogram in an easier to interpret way, allowing the selection of the right level of detail and at the same time inspection of the sounding row data and the plotted diagram. Our visual environment was compared with the classic way of representing the Herlofson’s nomogram in a formal user study, demonstrating the higher efficacy and better comprehensibility of the proposed solution.

How can health professionals contribute to the internet of things body of knowledge

Purpose Internet of Things (IoT) as the new technological paradigm has found many applications in different domains. Nowadays, more than 30,000 records related to IoT research can be accessed in Scopus (Scopus.com). Health care is the one of domains which benefits from IoT. However, observations indicate that most active researchers in this area are technical people not health professionals. The purpose of this paper is to understand how health professionals can contribute to the IoT body of knowledge. Design/methodology/approach IoT professionals are asked to provide their views regarding research concerns, and the collected data are analyzed by phenomenography research methodology. Findings Findings indicate that health professionals can contribute through providing information, requirement or standards for developing IoT systems or devices. They can also introduce new applications or domains for which IoT is fit. Originality/value This paper tries to fill the gap concerning the lack of attention to undertaking IoT-related research from health professionals’ side and highlights ways that health professionals can contribute IoT body of knowledge.