Stories: A Tool to Rejuvenate the Culture of Generation Z and Generation Alpha

Being the first social generation to have grown up with the internet and portable digital technology from a young age, Generation Z and Generation Alpha are seldom aware of affections, devotions, traditions, relationships, and cultures that form the basis for a convivial and serene life. They run in this digital world to cope with the current scenario, failing to take in love and affection. The literature reviews furnish the details that Generation Z and Alpha are bestowed with abundant knowledge and information by technology, but they fail to look at the essential parts of humanity. Hence, this paper aims to use stories as a tool to bring back the beam of happiness in the lives of future humans. The surveys that have been taken show that stories are loved by people of all ages, and so it is easy to educate and revive morals, mannerisms, traditional ideas, and cultures through them. Therefore, it is the need of the hour to rejuvenate these groups through stories to lead a peaceful life, which is the ultimate aim of birth. Stories also provide pleasure and activate the mind to think in the right way since the listener is out of the box.

Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment

Recently, various indoor based sensors that were formerly separated from the digital world, are now intertwined with it. The data visualization may aid in the comprehension of large amounts of information. Building on current server-based models, this study intends to display real environmental data acquired by IoT agents in the interior environment. Sensors attached to Arduino microcontrollers are used to collect environmental data for the smart campus environment, including air temperature, light intensity, and humidity. This proposed framework uses the system's server and stores sensor readings, which are subsequently shown in real time on the server platform and in the environment application. However, most current IoT installations do not make use of the enhanced digital representations of the server and its graphical display capabilities in order to improve interior safety and comfort conditions. The storage of such real-time data in a standard and organized way is still being examined even though sensor data integration with storing capacity server-based models has been studied in academics.

Personal Management of Digital Information in University Students from a Gender Perspective

The purpose of the present study is to delve into the process of personal management of digital information among Spanish university students in their final year and to analyze whether there are similarities or differences regarding students’ gender. A non-experimental methodological design has been implemented of an exploratory type and based on a questionnaire as a single data collection instrument. The instrument was validated by means of experts’ judgement, cognitive interview, and construct validity. A total of 2,054 students’ surveys were collected, sourced from all areas of knowledge, in 75 public and private universities. These surveys made it possible to obtain information about the information search, selection, organization, processing, and creation processes. The results revealed that university students have a positive self-concept about their own competence for personal management of information. However, they fail to take advantage of all the possibilities that the digital world offers them. Women search the Internet for more diverse resources than men. They have better judgment when it comes to selecting and processing the information they need. Male students rely more often than female ones on digital mediums when organizing and creating information and choose to publish the information in less complex and more popular formats than their female counterparts. The conclusions of the present study match those of the majority of reviewed studies, namely regarding the organization of information, contextual and social factors which influence the management of information, such as third-party support, and also in relation to the increasing implementation of digital technologies in information management processes.

PEMBINAAN PEMBELAJARAN DARING SELAMA PANDEMI COVID 19 Di SMK PERMATA HARAPAN BATAM

This service aims to provide online learning guidance during the COVID-19 pandemic which was carried out at the Permata Harapan Vocational School in Batam. This training was carried out for 4 meetings using the zoom application. Community service activities in the form of educational development for Permata Harapan Vocational High School students can provide benefits by applying the methods of implementing training activities, discussions and questions and answers. This service was attended by Mr. Miftahul Ilmi and Mrs. Lolita as teachers at Permata Harapan school and also attended by 20 students. The results obtained from this activity are: the ability of students to the digital world increases, especially for the applications used and the available tools. Students also feel they have a high curiosity to understand the applications used and are interested in the menus offered. The ability to adapt to the online learning system is very necessary for current conditions, where the presenter also conveys motivation to students to continue to be able to follow the lesson well.

A Review on Internet of Things

Today, Internet has become the most important and a revolutionary invention which has touched almost every corner of the world and has affect human life in tremendous ways. IOT, Internet of things is simply an interaction between the physical and digital world. It is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs). The communication taking place in today's world is basically in the form of human-human or human-machine but IOT has the ability for a great future where communication will take place in the form of machine-machine also. IOT has changed the way of living of people into a high-profile way and has impact in almost various sector which has given a positive impact on world. Also, along with various advantages it has some challenges and disadvantages too. This paper mainly focused on all the importance point related to IOT, how it works, its component, architecture, characteristics, applications, advantages-disadvantages and many more. IOT is overall a vast topic to discuss and talk about.

Estimation of Underreported Cases of Infections and Deaths from COVID-19 for Countries with Limited and Scarce Data: Examples from Nepal

COVID-19 pandemic has overburdened the public healthcare system around the world. Further, lockdown imposed to curb the spread of pandemic has shown to have an adverse effect on economic and health status of an individual. It has also compelled us to switch from the physical world to virtual world, thus depriving us of benefits of person-to-person direct contact. People from developing countries are specially affected. An average person here lacks basic skills needed to survive in the digital world. Due to limited COVID-19 testing capacities in such countries, there is also less testing. Less testing means less contact tracing, underreported cases, and rapid spread of disease. In this paper, the underreported cases of daily infections and daily deaths are predicted using mathematical models. This is based on daily data published by the Government of Nepal. Here, Kathmandu valley is taken as a model area for estimation of underreporting. The behavior of probability of infection, probability of recovery, and probability of deaths is also mathematically analyzed. A time-dependent susceptible infected and recovered model is also proposed. Here, the second wave of COVID-19 is analyzed in detail from 1 Feb 2021 to 1 June 2021. The effect of lockdown on the psychology of people is also modeled with principal components analysis. The inherent and latent factors affecting the people in lockdown are identified. This is based on detailed primary data collected from a survey of 277 households.

Smartic: A smart tool for Big Data analytics and IoT

The Internet of Things (IoT) is leading the physical and digital world of technology to converge. Real-time and massive scale connections produce a large amount of versatile data, where Big Data comes into the picture. Big Data refers to large, diverse sets of information with dimensions that go beyond the capabilities of widely used database management systems, or standard data processing software tools to manage within a given limit. Almost every big dataset is dirty and may contain missing data, mistyping, inaccuracies, and many more issues that impact Big Data analytics performances. One of the biggest challenges in Big Data analytics is to discover and repair dirty data; failure to do this can lead to inaccurate analytics results and unpredictable conclusions. We experimented with different missing value imputation techniques and compared machine learning (ML) model performances with different imputation methods. We propose a hybrid model for missing value imputation combining ML and sample-based statistical techniques. Furthermore, we continued with the best missing value inputted dataset, chosen based on ML model performance for feature engineering and hyperparameter tuning. We used k-means clustering and principal component analysis. Accuracy, the evaluated outcome, improved dramatically and proved that the XGBoost model gives very high accuracy at around 0.125 root mean squared logarithmic error (RMSLE). To overcome overfitting, we used K-fold cross-validation.