Fuzzy-Based Approach for Reducing the Impacts of Climate Changes on Agricultural Crops

2018 ◽  
pp. 88-110
Author(s):  
Ahmed M. Gadallah ◽  
Assem H. Mohammed
Keyword(s):  
Climate Changes ◽  
Future Research ◽  
Second Phase ◽  
Climate Data ◽  
Planting Dates ◽  
Third Phase ◽  
First Case ◽  
Study Results ◽  
Future Research Directions

Climate changes play a significant role in the crops plantation process. Such changes affect the suitability of planting of many crops in their traditional plantation dates in a given place. In contrary, many of such crops become more suitable for planting at other new dates in their traditional places or in other new places regarding the climate changes. This chapter presents a fuzzy-based approach for optimizing crops planting dates with the ongoing changes in climate at a given place. The proposed approach incorporates four phases. The first phase is concerned with climate data preparation. And the second phase is concerned with Defining suitability membership functions. While in third phase is responsible for automatic fuzzy clustering. Finally, the fourth phase is responsible for fuzzy selection and optimization for the more suitable plantation dates for each crop. This chapter consists of an introduction, related works, the proposed approach, a first case study, a second case study, results discussion, future research directions and finally the chapter conclusion.

Fuzzy-Based Approach for Reducing the Impacts of Climate Changes on Agricultural Crops

2017 ◽  
pp. 272-294 ◽  
Author(s):  
Ahmed M. Gadallah ◽  
Assem H. Mohammed
Keyword(s):  
Climate Changes ◽  
Future Research ◽  
Second Phase ◽  
Climate Data ◽  
Planting Dates ◽  
Third Phase ◽  
First Case ◽  
Study Results ◽  
Future Research Directions

Climate changes play a significant role in the crops plantation process. Such changes affect the suitability of planting of many crops in their traditional plantation dates in a given place. In contrary, many of such crops become more suitable for planting at other new dates in their traditional places or in other new places regarding the climate changes. This chapter presents a fuzzy-based approach for optimizing crops planting dates with the ongoing changes in climate at a given place. The proposed approach incorporates four phases. The first phase is concerned with climate data preparation. And the second phase is concerned with Defining suitability membership functions. While in third phase is responsible for automatic fuzzy clustering. Finally, the fourth phase is responsible for fuzzy selection and optimization for the more suitable plantation dates for each crop. This chapter consists of an introduction, related works, the proposed approach, a first case study, a second case study, results discussion, future research directions and finally the chapter conclusion.

scholarly journals An integrated engineering solution used for enhancing the design of a technological device for automated assembly

2018 ◽  
Vol 178 ◽  
pp. 05007 ◽  
Author(s):  
Ionut Madalin Pista ◽  
Vasile Merticaru ◽  
Marius Ionut Ripanu
Keyword(s):  
Process Design ◽  
Parametric Modeling ◽  
Future Research ◽  
Assembly Model ◽  
Product Model ◽  
Research Directions ◽  
Study Results ◽  
Future Research Directions ◽  
Design Software

The paper presents a theoretical approach and a case study upon the use of an advanced CAD solution integrated with another engineering design software solution embedding DFMA concepts, particularly applied within the product and manufacturing process design for technological devices. The main objective of implementing CAD and DfX/DFMA integrated solutions is to guide designers into the product development phase so that a better design can be achieved in a shorter time and with lower costs. The case study analyzes an assembly model developed for an indexing mounting table dedicated for the automated assembling of an industrial electrical plug inlet. The assembly product model has been developed using 3D parametric modeling specific tools, further on it has been subjected to analysis based on DFMA principles and after that its components have been redesigned to respond to the analysis results. Some of the case study results and their interpretation are discussed in the paper content and finally some overall conclusions are included along with some intended future research directions.

scholarly journals The Next Generation

2011 ◽  
pp. 57-78 ◽  
Author(s):  
Agnes Kukulska-Hulme ◽  
Chris Jones
Keyword(s):  
Future Research ◽  
Net Generation ◽  
Educational Systems ◽  
Recent Experience ◽  
Place And Space ◽  
Pedagogical Design ◽  
Design For Learning ◽  
Future Research Directions ◽  
The Relationship

Focusing on intermediate and institutional levels of design for learning, this chapter explores how institutional decisions relate to design, using recent experience at The Open University as a case study. To illuminate the relationship between institutional decisions and learner-focused design, we review and bring together some of the research on learner practices in mobile and networked learning. We take a critical stance in relation to the concept of generation, which has been applied to understanding learners of different ages using terms such as net generation and digital natives. Following on from this, we propose an integrated pedagogical design approach that takes account of learner practices, spaces for learning, and technologies. The chapter also proposes future research directions focused on the changing context for learning, a distinction between place and space and an understanding of how the different levels of educational systems interact with mobile and networked technologies.

Implementing strategic responses in the COVID-19 market crisis: a study of small and medium enterprises (SMEs) in India

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guydeuk Yeon ◽  
Paul C. Hong ◽  
Elangovan N. ◽  
Divakar G. M.
Keyword(s):  
Emerging Economies ◽  
Management Practices ◽  
Small And Medium Enterprises ◽  
Performance Outcomes ◽  
Future Research ◽  
Strategic Responses ◽  
Content Type ◽  
Study Results ◽  
Medium Enterprises

Purpose The COVID-19 pandemic presents unprecedented challenges for small and medium enterprises (SMEs) in emerging economies. This paper aims to examine how India's SMEs implement their strategic responses in this crisis. Design/methodology/approach The study uses dynamic capability theory to explore the strategic responses of SMEs. Strategy implementation theory helps to explain how they implement innovative practices for outcomes. A research model defines the COVID-19 challenges, strategic responses and performance outcomes. The study reports the findings of an initial pilot study of 75 firms and follow-up case study results in the context of COVID-19. Findings Firms choose their approaches according to their perceived market risks. Case studies illustrate that firms display diverse attitudes depending on their strategic direction, leadership vision and organizational culture. They achieve different outcomes by implementing specific styles of risk management practices (e.g. risk-averting, risk-taking and risk-thriving). Research limitations/implications Although the study context is Indian SMEs, the findings suggest meaningful lessons for other emerging economies in similar crisis events. The propositions may be extended to future research in broad contexts. Practical implications Even in the extraordinary COVID-19 market crisis, SMEs with limited resources display their strategic potential by recognizing their unique capabilities, translating them into effective actions and achieving desirable outcomes. Social implications In the COVID-19 pandemic, top leaders' mental attitude, strategic perspective and routine practices are contagious. Positive leadership motivates both internal and external stakeholders with an enormous level of collaboration. Originality/value This rare study of Indian SMEs provides a theoretical framework for designing a pilot survey and conducting a case study of multiple firms. Based on these findings, testable propositions are articulated for future research in diverse organizational and national contexts.

Achieving Excellence in Teaching

2013 ◽  
pp. 280-290
Author(s):  
Iain Doherty
Keyword(s):  
Professional Development ◽  
Systemic Change ◽  
Future Research ◽  
Teaching Improvement ◽  
Research Directions ◽  
Teaching Culture ◽  
Future Research Directions ◽  
Educational Professional ◽  
Excellence In Teaching

The purpose of this chapter is to examine the challenges of achieving systemic change in the teaching culture of a research-intensive university. The chapter makes use of a teaching improvement case study to identify both the challenges and the solutions to engaging academics in a research-intensive university with educational professional development. Ongoing issues are identified and future research directions are presented.

Retail Customer Engagement

2019 ◽  
pp. 1-26
Author(s):  
Andrea Moretta Tartaglione ◽  
Giuseppe Granata
Keyword(s):  
Literature Review ◽  
Bibliometric Analysis ◽  
Scientific Community ◽  
State Of The Art ◽  
Customer Engagement ◽  
Future Research ◽  
Research Directions ◽  
Study Results ◽  
Research Findings ◽  
Future Research Directions

Customer engagement is one of the most debated topics in marketing literature. The great interest of the scientific community resulted in a large amount of research on this topic making it difficult for scholars to understand how to really contribute to advance the research. Based on these considerations, this chapter aims to provide an overview of the research findings and trends of previous studies to guide the researcher to the most influential works, results, and issues that need more insights. In particular, this chapter offers a literature review on customer engagement and retail customer engagement using bibliometric analysis and scientific mapping study. Results show the most productive authors, most cited publications, most frequent words, and clusters of related words. The analysis provides a description of the state of the art of retail customer engagement and suggests future research directions.

Agile Teams in Digital Media

2020 ◽  
pp. 340-359
Author(s):  
Rachel Ralph ◽  
Patrick Pennefather
Keyword(s):  
Digital Media ◽  
Reflective Practitioner ◽  
Comparative Case Study ◽  
Future Research ◽  
Master's Program ◽  
Study Results ◽  
Agile Practices ◽  
Media Environments

As we move towards the third decade of the 21st century, the development of emerging technologies continues to grow alongside innovative practices in digital media environments. This chapter presents a comparative case study of two teams (Team A and Team B) in a professional master's program during a 13-week, project-based course. Based on the role of documentation and the reflective practitioner, team blogs representing learner experiences of Agile practices were analyzed. This case study chapter focused on one blog post of a mid-term release retrospective. The results of this case study are framed around Derby and Larson's (2006) Agile retrospectives framework, including: set the stage, gather data, generating insights, deciding what to do, and closing the retrospective. The case study results suggest the need for public documentation of retrospectives and how this can be challenging with non-disclosure agreements. Also, the authors identify the importance of being a reflective practitioner. Future research on educational and professional practices needs to be explored.

“I'm Not Simply Dealing with Some Heartless Computer”

2016 ◽  
pp. 160-184
Author(s):  
Peggy Lynn Semingson ◽  
Pete Smith
Keyword(s):  
Case Analysis ◽  
Future Research ◽  
Video Conference ◽  
Master's Level ◽  
Research Directions ◽  
Language Analysis ◽  
Literacy Course ◽  
Future Research Directions ◽  
Cross Case Analysis

This chapter provides a case study example using cross-case analysis (Merriam, 2001) of digital mentoring within an online Master's level literacy course at a large public university in the Southwest United States. Two mentors provided individualized video conference sessions, using Blackboard Collaborate™ to 28 students (mentees). Data included written reflections from students as well as transcripts from selected videoconference sessions. Structured synchronous mentoring sessions provided a predictable framework for students and mentors alike. This chapter provides an analysis of the students' perceptions of the conferences, the types of discourse patterns and language analysis of the conferences, as well as description of themes and trends across the data. Suggestions on the usefulness of the conferences as well as the structure of mentoring sessions are described in the chapter. Established and emerging models of mentorship and e-development are outlined and utilized to frame the analyses and future research directions.

scholarly journals Integrating supercomputing clusters into education: a case study in biotechnology

2020 ◽  
Author(s):  
Álvaro Fernández ◽  
Camino Fernández ◽  
José-Ángel Miguel-Dávila ◽  
Miguel Á. Conde
Keyword(s):  
Higher Education ◽  
Educational Process ◽  
Future Research ◽  
Research Directions ◽  
Science Technology ◽  
Future Research Directions ◽  
Technological Skills ◽  
And Mathematics ◽  
Course Of Study

Abstract The integration of a Supercomputer in the educational process improves student’s technological skills. The aim of the paper is to study the interaction between science, technology, engineering, and mathematics (STEM) and non-STEM subjects for developing a course of study related to Supercomputing training. We propose a flowchart of the process to improve the performance of students attending courses related to Supercomputing. As a final result, this study highlights the analysis of the information obtained by the use of HPC infrastructures in courses implemented in higher education through a questionnaire that provides useful information about their attitudes, beliefs and evaluations. The results help us to understand how the collaboration between institutions enhances outcomes in the education context. The conclusion provides a description of the resources needed for the improvement of Supercomputing Education (SE), proposing future research directions.

A Prediction Market-Based Gamified Approach to Enhance Knowledge Sharing in Organizations

2019 ◽  
Vol 50 (5) ◽  
pp. 572-597 ◽  
Author(s):  
Hajime Mizuyama ◽  
Seiyu Yamaguchi ◽  
Mizuho Sato
Keyword(s):  
Knowledge Sharing ◽  
Web Application ◽  
Evaluation System ◽  
Future Research ◽  
Collective Knowledge ◽  
Prediction Market ◽  
Binary Event ◽  
Private Knowledge ◽  
Future Research Directions

Background. Knowledge sharing among the members of an organization is crucial for enhancing the organization’s performance. However, knowing how to motivate and direct members to effectively and efficiently share their relevant private knowledge concerning the organization’s activities is not entirely a straightforward matter. Aim. This study aims to propose a gamified approach not only for motivating truthful sharing and collective evaluation of knowledge among the members of an organization but also for properly directing those actions so as to maximize the usefulness of the shared knowledge. A case study is also conducted to understand how the proposed approach works in a live business scenario. Method. A prediction market game on a binary event on whether the specified activity will be completed successfully is devised. The game utilizes an original comment aggregation and evaluation system through which relevant knowledge can be shared verbally and evaluated collectively by the players themselves. Players’ behavior is driven toward a desirable direction with the associated incentive framework realized by three game scores. Results. The proposed gamified approach was implemented as a web application and verified with a laboratory experiment. The game was also played by four participants who deliberated on an actual sales proposal in a real company. It was observed that the various valuable knowledge elements that were successfully collected from the participants could be utilized for refining the sales proposal. Conclusions. The game induced motivation through gamification, and some of the designed game scores worked in directing the players’ behavior as desired. The players learned from others’ comments, which brought about a snowball effect and enriched collective knowledge. Future research directions include how to transform this knowledge into an easy-to-comprehend representation.

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