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Selection of Important Features for Optimizing Crop Yield Prediction
In agriculture, crop yield prediction is critical. Crop yield depends on various features including geographic, climate and biological. This research article discusses five Feature Selection (FS) algorithms namely Sequential Forward FS, Sequential Backward Elimination FS, Correlation based FS, Random Forest Variable Importance and the Variance Inflation Factor algorithm for feature selection. Data used for the analysis was drawn from secondary sources of the Tamil Nadu state Agriculture Department for a period of 30 years. 75% of data was used for training and 25% data was used for testing. The performance of the feature selection algorithms are evaluated by Multiple Linear Regression. RMSE, MAE, R and RRMSE metrics are calculated for the feature selection algorithms. The adjusted R2 was used to find the optimum feature subset. Also, the time complexity of the algorithms was considered for the computation. The selected features are applied to Multilinear regression, Artificial Neural Network and M5Prime. MLR gives 85% of accuracy by using the features which are selected by SFFS algorithm
Digital Social Media in Adolescents' Negotiating Real Virtual Romantic Relationships
Previous grounded theoretical analyses of rural adolescents' romantic relationship discussions identified media as critical conditions in negotiating gender expectations in intimate relations. More recent emergent fit analyses of urban teenagers' discussions of virtual romantic relationships extended original theories to consider a lack of confidence in communicating adequately in the context of using digital social media. The current research specifically investigated emergent fit analyses of digital media influences on relationships. Urban participants identified online platforms' playing significant roles in 1) signaling interest, 2) initiating, 3) maintaining exchanges, and 4) dissolving romantic relationships. Participants both complained and commended asynchronous digital media in exacerbating discomfort/comfort in communicating intimately. Participants sought guidance in transforming contextually complex intimate relational communications into a healthy reciprocity
Revisiting Musings on Co-Designing Identity-Aware Realities in Virtual Learning: The Shared Experiences
Previously, musings on co-designing identity-aware realities in the virtual space focused on the individual self during a learning experience. While preserving the individual self of the learner for a comprehensive outlook, the chapter will expand on the exploratory journey looking into the identity of the collective self, the shared experiences of those co-creating the moment, and the potential for a community of practice to emerge while learning in virtual environments. In the spirit of the contemplative goal of the chapter, design considerations in the creation and facilitation of learning experiences inclusive of the community's self are postulated
A Least-Loss Algorithm for a Bi-Objective One-Dimensional Cutting-Stock Problem
This article presents a new model and an efficient solution algorithm for a bi-objective one-dimensional cutting-stock problem. In the cutting-stock—or trim-loss—problem, customer orders of different smaller item sizes are satisfied by cutting a number of larger standard-size objects. After cutting larger objects to satisfy orders for smaller items, the remaining parts are considered as useless or wasted material, which is called “trim-loss.” The two objectives of the proposed model, in the order of priority, are to minimize the total trim loss, and the number of partially cut large objects. To produce near-optimum solutions, a two-stage least-loss algorithm (LLA) is used to determine the combinations of small item sizes that minimize the trim loss quantity. Solving a real-life industrial problem as well as several benchmark problems from the literature, the algorithm demonstrated considerable effectiveness in terms of both objectives, in addition to high computational efficiency
The Impact of Employee Engagement on Job Insecurity by Moderating Role of Psychological Empowerment to Enhance Corporate Performance
Human resources have had a strategic role in both sustainable and competitive business since it is inimitable element of business. The purpose of this research is to investigation the impact of employee engagement (independent variable) on job insecurity (dependent variable) and then moderating role of psychological empowerment of employees in oil and gas sector. These variables have the key significance for their employees and betterment of the organizations. It is a qualitative research, field study through survey methodology, 100 employees of 11 multinational oil and gas companies participated in the study from Pakistan. Cronbach alpha, Pearson correlation coefficient and hierarchal regression were used for various analyzes of this study. The findings of the research revealed that employee engagement is significant for reducing feelings of insecurity in a job, meanwhile if they are empowered psychologically, their commitment and loyalty is increased many times. Findings of this study will provide the insight to the benefits, challenges and issues related with it
Exploring Expansion and Innovations in Cloud Computing
Cloud computing is one of the highly sought-after paradigms in information technology. In several cases, it has surpassed earlier predictions of growth, and expanding its services to cover all the key areas. With the growing usage of the cloud, new requirements have also surfaced. To meet user expectations, the cloud services pool has expanded drastically. In order to meet the subscriber's futuristic demands, cloud computing needs to advance further. This work undertakes the study of expansion and innovations that have already happened in the recent past. In addition, perceived cloud evolution in the futuristic cloud has been presented. During the course of exploration, the impact of hardware and software on evolution has been taken into account. Considering the benefits involved, and the current advancement, this work concludes by presenting the innovations that will lead to cloud development
Strategic Information Technology Compensation: A Cross-Cultural Perspective
The 2008 financial crisis has made many high-tech firms vulnerable. Some non-American firms (e.g. in Taiwan) have even granted their IT professionals a “no-pay break” to reduce firms' financial uncertainty. The crisis leads to a need to re-examine managerial compensation thinking from a cross-cultural perspective. Drawing on cross-cultural case studies in Taiwan, a collectivist culture, and in the United States, an individualist culture, this research explores managerial thinking on how to align strategic IT compensation with personnel's immigrant status and IT sourcing strategies in different industrial and national/cultural contexts. It also explores how firms utilize nonmonetary compensation in different cultures. Compensation for IT professionals in Taiwan are reportedly to be more uniform because of the feature of collectivist culture. Compensation for IT professionals in the United States are reportedly more fluid thanks to a frontier culture and individualism. Therefore, negotiable competitive pay is emphasized. Both Taiwan and the US have suffered from wage stagnation for decades. In Taiwan, this stagnation may be related to a depreciation of higher degrees since the number of university graduates has been increased fivefold in two decades and IT related degrees have been amidst popular majors which lead to oversupply in IT workforce. In the US, this stagnation may be related to economic recession and reduced IT investment/full-time positions, dropping IT enrollment, IT skill/education-job mismatch, and increased reliance on IT contractors in an emerging IT gig economy. From a cultural perspective, “still under employment” in a Confucian society which emphasizes face-saving that has value in its own right and it explains why some firms in Taiwan granted IT professionals a “no-pay break” instead of immediate layoff to cope with the 2008 crisis. Meanwhile, to cope with the challenge of IT skill/education-job mismatch in the United States, using a domestic training program as nonmonetary compensation may be a viable alternative to IT firms whose IT compensation strategies emphasize lucrative pay or poach IT talents rather than nurturing IT talents. Theoretically, economic/organization theories derived from western experiences or ideologies in 1900s, where industrialization, private/hierarchical organizations, and higher education were booming, may not fit non-western countries' experiences or today's world where the trends of outsourcing, IT contracting, gig economy and depreciation of education are emerging
Asia-Pacific Students' Awareness and Behaviour Regarding Social Networking in the Education Sector
Social networking (SN) technology has been presented to human beings as a means of communicating, collaborating, connecting, and cooperating to exchange knowledge, skills, news, chat, and to maintain contact with peers world-wide. This article examines SN awareness in the Asia-Pacific (AP) education sector (ES) with a specific focus on the advantages and disadvantages of SN; and investigated whether AP culture influences SN adoption by the ES. An online survey was distributed to 1014 AP students and a total of 826 students responded. Several new advantages of adoption emerged from the data analysis. SN enabled students to accomplish their study tasks more quickly; it allowed them to communicate and collaborate with peers world-wide; and it fostered sustainability. The disadvantages perceived by students include depression, loneliness, and distraction, lack of interest in pursuing traditional activities, and security and privacy concerns. Finally, culture does influence SN adoption by ES institutions in AP countries
Modelling the Impacts of Inter-City Connectivity on City Specialisation
There is a high level of interest in investing in inter-city connectivity schemes. The rationale for these schemes is improved economic performance through increased productivity, jobs, and output. The mobility costs of switching between sectors for labour and capital may limit the level of sectoral specialisation achieved and the associated positive productivity impacts through localisation effects. To investigate these impacts, a stylised stock and flow model of two cities has been developed. The model has two business service sectors and a 20-minute reduction in rail travel times is introduced to understand the dynamics and the extent of barriers to localisation benefits due to labour and capital mobility costs, and to understand the degree to which these can be unlocked through inter-city transport. The results show that mobility costs limit the potential for increased specialisation through investment in inter-city transport and that further specialisation is more likely to arise when the scheme effects differ between sectors and between cities
Design of Nano-scale Electrodes and Development of Avatar-Based Control System for Energy-Efficient Power Engineering: Application of an Internet of Things and People (IOTAP) Research Center
In this article is described the avatar-based energy-efficient power engineering control system, which is based on authors results published previously related to development of an Internet of Things and people (IOTAP) and the digital twins systems. The authors are described the development of the innovation tools for digital twins system, based on Avatar-based Control Techniques