IntroductionIdentification of important soil nutrients is a very important task for precision farming and developing efficient machine learning models.MethodsThe existing work shows that the patent is filed and published on a method and device for assessment of soil health parameters and recommendation of fertilizers. The existing work is done for one advice at a time not for several advices. Multiple advices that are taken into acco Read More

BackgroundMost of the patients with limb paralysis caused by stroke and traumatic brain injury are unable to take care of themselves which not only causes great physical and psychological stress to the patients but also poses a heavy burden on their families and society. The global population is entering the aging phase. The number and proportion of older people is increasing in almost every country in the world. Population aging has the potential to becom Read More

Diamond with its unparalleled combination of physical and chemical attributes occupies a critical role in future technological domains; yet the caliber of its surface quality is decisively linked to its performance within advanced applications. Thus engaging in super-precision processing to elevate the surface integrity of diamond constitutes a central tenet for broadening its application potential. This paper systematically dissects patents pertaining to dia Read More

IntroductionAn optimized support vector machine prediction model (SVM) with fuzzy information granulation (FIG) is established for surface prediction in this paper. Based on the measured data cubic spline interpolation was processed and FIG approach was applied to granulate the surface settlement parameters into fuzzy particles Low R and Up and the particles are used to represent the range of the measured data variation.MethodsFor each fuzzy particle Read More

BackgroundRobots for pipeline inspection are frequently employed in long-distance oil wastewater and natural gas pipelines. Much complex research is being conductedon pipeline inspection robots including work on fluid-driven and non-fluid-driven among other things. Research on pipeline inspection robots can be advanced by examining their current stage of development. Additionally pipeline inspection robots may be able to promote the growth of the pipel Read More

Seaweeds macroscopic algae known for their diverse applications across industries such as agriculture biomedicine and personal care pose challenges in underwater detection due to the lack of suitable image datasets. Underwater photography is often hindered by light fluctuations and artificial light-induced haze and noise complicating accurate object recognition. To address these challenges this study leverages openly available open-source datasets Read More

IntroductionThe existence of substantial amounts of comparatively unused material inside a certain section indicates a deficiency in resource utilization. The existence of stress concentrations leads to a decrease in both the rigidity and durability of the component.MethodsUsing finite element analysis (FEA) additive manufacturing (AM) and topology optimization (TO) together in this work led to a new patent for making a lightweight part for an unmanned grou Read More

BackgroundSince the first industrial robots were created in the middle of the last century robotics has shown strong growth prospects. Robotics has developed rapidly over time and is being used in more and more areas. Because of the need to minimize impact forces during robot movement traditional rigid robots are no longer sufficient flexible joints are more adaptable to the environment due to their adjustable stiffness and have higher applicat Read More

BackgroundChina is rich in mineral resources with a complete range of types. Currently 163 kinds of minerals have been found and 149 kinds of minerals with Proven reserves including 7 kinds of energy minerals 54 kinds of metal minerals and 86 kinds of non-metallic minerals. Ore particles can undergo various collisions during mining and transportation.ObjectiveBecause particle collision behavior can greatly affect particle size and particle propert Read More

BackgroundThe application of electric vehicles in daily life is becoming increasingly widespread. However the heat dissipation issues of the electric motors directly impact electric vehicles' stability and safety. Thus research on the heat dissipation of the electric motor is conducive to improving the reliability of the drive motor and ensuring the overall stability and safety of electric vehicles; there is a growing emphasis on the development trends of heat dissip Read More