A Design of an Unmanned Electric Tractor Platform

The tractor is a vehicle often used in agriculture. It is mainly used to tow other unpowered agricultural machinery for farming, harvesting, and seeding. They consume a lot of fuel with emissions that often contain a large amount of toxic gases, which seriously jeopardize human health and the ecological environment. Therefore, the electrical tractor is bound to become a future trend. The objective of this study is to design and implement a lightweight, energy-saving, and less polluting electric tractor, which meets the requirements of existing smallholder farmers, equipped with unmanned technology and multi-functions to assist labor and to provide the potential for unmanned operation. We reduced the weight of the tractor body structure to 101 kg, and the bending rigidity and torsional rigidity reached 11,579 N/mm and 4923 Nm/deg, respectively. Two 7.5 kW induction motors driven by lithium batteries were applied, which allows at least 3.5 h of working time.

High Wisdom Intelligence- Discussing Education of High Wisdom Intelligence

The number of talented persons who are equipped with high wisdom intelligence will immediately determine the quality of humankind’s entire life, and the future trend for humankind’s innovation and creation in fields such as thinking, cognition, society, politics, economy, military, science, arts, culture, and so on. Meanwhile, it protects the harmonious development of various fields. By illustrating the meanings of applying high wisdom intelligence in the survival and prosperity for each nation, ethnicity and individual, this article has a significant application to the understanding of educational studies of highwisdom intelligence.

AMOC Trends From 1850 to 2100 At Interannual To Multi-Decadal Time Scales Corroborated By Changes In Salinity Budget

The Atlantic Meridional Overturning Circulation (AMOC) is a key player in the global coupled ocean-atmosphere climate system. To characterise the potential of an AMOC slowdown, a past and future trend probability analysis is applied using 16 models from the Coupled Model Intercomparison Project Phase 5. We determine the probability of AMOC annual to multidecadal trends under the historical period and two future climate scenarios (`business-as-usual’ scenario - RCP8.5 and `stabilisation’ scenario - RCP4.5). We show that the probability of a AMOC decline in model data shifts outside its range of intrinsic variability (determined from the pre-industrial control runs) for sustained 5-year trend or longer. This suggests that interannual AMOC events are not significantly affected by future climate scenario, and so potentially neither by anthropogenic forcing. Furthermore, under the ‘business-as-usual’ scenario the probability of a 20-year decline remains high (87\%) until 2100, however in a ‘stabilisation’ scenario the trend probability recovers its pre-industrial values by 2100. A 20-year unique event is identified from 1995 to 2015, marked by simultaneous unique features in the AMOC and salinity transport that are not replicated over any other 20-year period within the 250 years studied. These features include the maximum probability and magnitude of an `intense’ AMOC decline, and a sustained 20-year decline in subpolar salinity transport caused by internal oceanic processes (as opposed to external atmospheric forcing). This work therefore highlights the potential use of direct salinity transport observations, and ensemble mean numerical models to represent and understand changes in past, present, and future AMOC.

Technology Forecasting of Unmanned Aerial Vehicle Technologies through Hierarchical S Curves

This study aims to propose a technology forecasting approach based on hierarchical S-curves. The proposed approach uses holistic forecasting by evaluating the S-curves of sub-technologies as well as the main technology under concern. A case study of unmanned aerial vehicle (UAV) technologies is conducted to demonstrate how the proposed approach works in practice. This is the first study that applies hierarchical S-curves to technology forecasting of unmanned aerial vehicle technologies in the literature. The future trend of the UAV technologies is analysed in detail through a hierarchical S-curve approach. Hierarchical S-curves are also utilised to investigate the sub-technologies of the UAV. In addition, the technology development life cycle of technology is assessed by using the three indexes namely, (1) the current technological maturity ratio (TMR), (2) estimating the number of potential patents that could be granted in the future (PPA), and (3) forecasting the expected remaining life (ERL). The results of this study indicate that the UAV technologies and their sub-technologies are at the growth stage in the technology life cycle, and most of the developments in UAV technology will have been completed by 2048. Hence, these technologies can be considered emerging technologies.

Machine Learning-Based Approach for Predictive Analytics in Healthcare

In this internet era, due to digitization in every application, a huge amount of data is produced digitally from the healthcare sectors. As per the World Health Organization (WHO), the mortality rate due to the various chronic diseases is increasing each day. Every year these diseases are taking lives of at least 50 million people globally, which includes even premature deaths. These days, machine learning (ML)-based predictive analytics are turning out as effective tools in the healthcare sectors. These techniques can extract meaningful insights from the medical data to analyze the future trend. By predicting the risk of diseases at the preliminary stage, the mortality rate can be reduced, and at the same time, the expensive healthcare cost can be eliminated. The chapter aims to briefly provide the domain knowledge on chronic diseases, the biological correlation between theses disease, and more importantly, to explain the application of ML algorithm-based predictive analytics in the healthcare sectors for the early prediction of chronic diseases.

BIM Technology Based on the Cost of Landscape Engineering

With the development of science and technology, the number of robots manufactured is increasing day by day. Exploration into uncharted territory also arises, which poses great challenges for contemporary robot creation. Ordinary robots are not yet able to give people much of the help they need. In this paper, the dynamic direction of the robot through multiple linear reinforcement learning and the robot based on this reinforcement learning will help people to solve the problems in work will be discussed from the current situation, future trend and many different perspectives of the development of robots in China. Secondly, also put forward the need to prevent hidden trouble both solutions.

Plastic Packaging: A Study on Plastic Imports in Uganda

Plastic packaging is crucial in preserving the quality of products. It has become ubiquitous, and an inseparable part of daily life and the food industry due to its aesthetic attributes, strength, affordability and convenience of use. This has thus led to the increase in demand and imports of plastics in the country. However, plastic packaging alone accounts for 47% of global plastic waste amidst documented threats of plastic waste to the environment-water-food-health nexus. Several reports indicate that between 1994 and 2017, Uganda imported a total of 1.9 million tons of plastic in both raw and finished form compared to 117 million tons across Africa. Imports and use of plastics in Uganda have increased by six-fold within the last three years hence extrapolating the growing challenge for sustainable plastic imports, product packaging, and waste management. The objective of the review therefore was to explore the future trend and impact of plastic imports and packaging in Uganda by analyzing plastic imports and the associated waste. The study further reviews the challenges arising from the growing demand for plastic packaging and presents a discussion on the solutions and potential ways forward for win-win benefits. Several strides to curb the menace of plastic waste are presented, which are manly from the private sector and plastic recycling businesses. A conclusion is made that if these efforts are to meet the intended leaps of change, the government of Uganda has to support the private organisations through grants, space allocation for collection centers and media access across the country. Furthermore, stricter regulations on excess plastic importation have to be implemented by the government as the country develops locally grown solutions to plastic packaging and use.

Translation of Contemporary Expression of Traditional Culture of Ci Fu "Luo Shen Fu" and Traditional Dance of "Luo Shen Water Fu"

Henan TV’s "Traditional Culture Series" has pushed the contemporary expression of Chinese traditional culture to a climax. Especially with the rejuvenation of domestic traditional culture, the dance "Luo Shen Water Fu" re-creates the traditional poetry "Luo Shen Fu" in five aspects: the creator's perspective, art form, expression technique, character image and creative power. The new expression of modern form has produced a strong contemporary traditional cultural effect. Through a case analysis of this successful act of traditional culture, the article analyzes the translation techniques of contemporary expressions of traditional culture, and provides useful enlightenment for stimulating the creative vitality of traditional culture and boosting the future trend of traditional Chinese culture.