A novel weather parameters prediction scheme and their effects on crops

Weather forecast is significantly imperative in today’s smart technological world. A precise forecast model entails a plentiful data in order to attain the most accurate predictions. However, a forecast of future rainfall from historical data samples has always been challenging and key area of research. Hence, in modern weather forecasting a combo of computer models, observation, and knowledge of trends and patterns are introduced. This research work has presented a fitness function based adaptive artificial neural network scheme in order to forecast rainfall and temperature for upcoming decade (2021-2030) using historical weather data of 20 different districts of Karnataka state. Furthermore, effects of these forecasted weather parameters are realized over five major crops of Karnataka namely rice, wheat, jowar, maize, and ragi with the intention of evaluation for efficient crop management in terms of the passing relevant messages to the farmers and alternate measures such as suggesting other geographical locations to grow the same crop or growing other suitable crops at same geographical location. A graphical user interface (GUI) application has been developed for the proposed work in order to ease out the flow of work.

An Ontology-Based Indigenous Knowledge Management Portal for Subfertility of Females

Subfertility in humans is the major problem in the technological world mostly by their habits and foods. There are many treatment methods for the subfertility of females, but the documentation in this field is mostly available in the local language, which cannot be understood by others, and time by time, this knowledge towards the future generation is diminished. The authors have depicted the knowledge using ontology and thereafter the knowledge management portal (KMP) for the indigenous knowledge was developed using the modeled ontology. They believe that the indigenous knowledge management portal (IKMP) will help future generations to get knowledge easily by using this system. They also strongly believe that the IKMP will serve as the experience-sharing tool for the subfertility-related indigenous knowledge.

Disruptive Unicorn of Digital Innovations

This chapter analyzes the disruptive unicorn of the 21st century, characterized by six of the most important digital disruptive innovations that will dominate the business ecosystem. A survey was applied to undergraduate students at Tecnologico de Monterrey in Mexico in 2019 to identify the students' perception of the unicorn. The hypothesis to be evaluated is that the undergraduate student has an unclear perception of the existence of the unicorn that could generate risks related to ethics and business power shifts in the world. An educational challenge is the need to develop the transversal competence of critical thinking related to digital disruptive innovations in the students. The educational strategies must evolve as fast as these digital disruptive innovations in order for the world to have citizens of a technological world in favor of humanity with the power of critical thinking and discernment. This is the challenge for the university educator.

Gamification Applied to Autism Spectrum Disorder

Gamification is a recent technique in software development that allows the application of game principles to non-game contexts and environments. In an increasingly technological world, gamification has now higher popularity, and it is currently used in several technologies. One of the health conditions where gamification can bring great benefits is in autism spectrum disorder (ASD), which is a persistent neurodevelopmental disorder that can be characterized briefly by deficits in verbal and non-verbal communication, difficulties in interaction, and manifestation of stereotyped movements or interests. In the case of ASD, the programs, software, or the mobile applications should focus on the development of intrapersonal (such as motivation) and interpersonal (social skills) skills. Therefore, gamification can be useful in cases of ASD, but it is necessary to increase the analysis of the potentialities and needs for improvement of technologies and applications available on the market.

Sztuczna inteligencja – wybór orzecznictwa

This article represents an overview of the jurisprudence case review of issues relatively connected with artificial intelligence technology. The collection of judgments chosen for the purposes of study which include concerns related to issues associated with forthcoming technological world. For example, the functionality of bot software automate human interaction easy with various online activities, the use of AI to analyse the car cost repairing according to model. AI used in forensic medical radiology, figure print scanning, security enhancement using facial biometrics recognition. AI in automate graphics and game design application. Also AI use to filter social networks to identify inciting terrorism. The main purpose of the study is to identify and assess the need of regulate artificial intelligence technology according to standardize policy, as well as to assess the level of threats associated with privacy of data analysis functions of the AI technology in the context of the presented jurisprudence.

The Challenges of Struggling Writers: Strategies That Can Help

Writing is a necessary skill in our technological world. Many people have a mobile device that they use for e-mailing, social media, as an alarm clock to start the day, reading the news, searching for information, ordering food, managing transportation (e.g., monitoring traffic, accessing public transit), or for relaxing pursuits, such as watching a movie or listening to music. While these tasks are natural and almost effortless for numerous people, many students struggle with composing longer prose, especially for academic tasks. The 2021 U.S. National Assessment of Educational Progress for Writing, for example, indicates that as many as 75% of students cannot write at a basic level. In this article, the author discusses recent examples from the professional literature about why writing can be a challenge for students, what is involved in writing assessment, how we can help students improve their writing skills, and how we can promote technology as part of the instruction and learning processes.

Human Factors Linked with Initial and Continuous Trust in Autonomous Systems: A Literature Review

Many autonomous systems are being developed to assist older adults to age in place. However, there is little research related to the human factors associated with why older adults may initially and continuously trust these autonomous systems. More research in this area on older adults and trust in autonomy is needed to facilitate the technologies better everyday use. The current study conducted a literature review on the prevalent human factors that enable people to trust their interactions with smart technologies (e.g., artificial intelligence, navigational structures). Articles were collected from various disciplines on concepts such as trust in autonomy, human-computer interactions and teamwork. Thematic analysis revealed two convergent areas that were associated with initial and continuous trust: human and technological characteristics. Human characteristics are defined by a person’s ability to understand and use autonomous systems. Generally, people with higher competency and abilities with autonomous systems demonstrated the ease of use to carry out desired actions with smart technology. Technological characteristics are defined by the system’s performance, explainability, and its intended purpose between trust. Essentially, people were less critical of autonomous systems that were perceived to be useful, transparent, and predictable. Overall, the autonomous system's ability to perform its intended purpose and the users knowledge and technical qualifications dominate the relationship between initial and continuous trust with autonomous systems. These are the prevalent factors that need to be considered for the creation of trusted autonomous technologies for older adults to help them age in the approaching more advanced technological world.

Computational Thinking for an Inclusive World: A Resource for Educators to Learn and Lead, Quick Start and Discussion Guide

We call all educators to integrate computational thinking into disciplinary learning across PreK-12 education, while centering inclusivity, to equip students with the skills they need to participate in our increasingly technological world and promote justice for students and society at large. This quick start and discussion guide is a resource for educators to learn about and build capacity for students to engage in computational thinking.

Computational Thinking for an Inclusive World: A Resource for Educators to Learn and Lead

Technology is becoming more integral across professional fields and within our daily lives, especially since the onset of the pandemic. As such, opportunities to learn computational thinking are important to all students—not only the ones who will eventually study computer science or enter the information technology industry. However, large inequalities continue to exist in access to equipment and learning opportunities needed to build computational thinking skills for students that experience marginalization. We call all educators to integrate computational thinking into disciplinary learning across PreK-12 education, while centering inclusivity, to equip students with the skills they need to participate in our increasingly technological world and promote justice for students and society at large. This report issues two calls to action for educators to design inclusive computing learning opportunities for students: (1) integrate computational thinking into disciplinary learning, and (2) build capacity for computational thinking with shared leadership and professional learning. Inspired by the frameworks, strategies, and examples of inclusive computational thinking integration, readers can take away practical implications to reach learners in their contexts.