Study on Expectation and Recognition of Farmhouse in Development of Cosmetics Using Local Specialities

This article studied expectation and recognition on the development of cosmetics using local specialities in farmer producing local specialities in South Korea. This is a previous step to present a successful model by convergences of agriculture and cosmetic industry, this model is able to offer basic data in the development of cosmetics using local specialities. A total of 316 farmers in South Korea from May 2021 were enrolled in this study. Statistical analysis was performed using SPSS for Windows, version 23.0. In the results comparing of expectation and awareness on application of local specialities by general characteristics and recognition of convergence industry, the expectation and awareness on application of local specialities showed significant difference partially according to the age, sex, last educational background, annual income and level on recognition of convergence industry. Also, that showed high difference according to level on recognition of convergence industry and the level on recognition of convergence industry exhibited the difference according to age, sex and income. Therefore, policy support of government based on these results needs in various directions such as technology, education, finance and promotion.

A progressive online external parameter calibration and initialization method for stereo-IMU system

Purpose This paper aims to present a pipeline to progressively deal with the online external parameter calibration and estimator initialization of the Stereo-inertial measurement unit (IMU) system, which does not require any prior information and is suitable for system initialization in a variety of environments. Design/methodology/approach Before calibration and initialization, a modified stereo tracking method is adopted to obtain a motion pose, which provides prerequisites for the next three steps. Firstly, the authors align the pose obtained with the IMU measurements and linearly calculate the rough external parameters and gravity vector to provide initial values for the next optimization. Secondly, the authors fix the pose obtained by the vision and restore the external and inertial parameters of the system by optimizing the pre-integration of the IMU. Thirdly, the result of the previous step is used to perform visual-inertial joint optimization to further refine the external and inertial parameters. Findings The results of public data set experiments and actual experiments show that this method has better accuracy and robustness compared with the state of-the-art. Originality/value This method improves the accuracy of external parameters calibration and initialization and prevents the system from falling into a local minimum. Different from the traditional method of solving inertial navigation parameters separately, in this paper, all inertial navigation parameters are solved at one time, and the results of the previous step are used as the seed for the next optimization, and gradually solve the external inertial navigation parameters from coarse to fine, which avoids falling into a local minimum, reduces the number of iterations during optimization and improves the efficiency of the system.

Tying the Delivery of Activity Step Instructions to Step Performance: Evaluating a Basic Technology System with People with Special Needs

Objectives This study assessed a new technology system that automatically presented instructions for multistep activities to people with intellectual and sensory disabilities. The instructions were presented one at a time, and tied to the participants’ performance of the activity steps. That is, a new instruction occurred only after the participant had carried out the previous step. Methods The new system involved a Samsung Galaxy A10 with Android 10.0 operating system equipped with Amazon Alexa, MacroDroid, and Philips Hue applications and a Philips Hue indoor motion sensor. The assessment of the new system was carried out with seven participants who were exposed to two or three pairs of activities. They performed one activity of each pair with the new system and the other with a system presenting instructions at preset time intervals according to an alternating treatments design that included a cross-over phase. Results The mean percentage of correct responses tended to be higher with the new system than with the control system. Paired t-tests carried out to compare the sessions with the new system with the sessions with the control system of each participant showed that the differences in correct responses between the two sets of sessions were statistically significant for all participants. Conclusions The new system may represent a useful (advantageous) tool for supporting people like those involved in this study in the performance of multistep activities.

Determinant Factors for Throwing in Competition in Male Elite Handball

The aims of this study were to define determinant factors that affected throwing actions used to score goals in handball, and to study the effectiveness of throwing actions and their relationships with different factors during their use, such as: the throwing distance, type of arm build, type of throw, whether it is done while jumping or while supported, the last supporting foot and the previous step cycle, as well as their relationship with the final score of the game in elite male handball competitions. A total of 1049 shots from 24 matches in the 2018/19/20 International Men’s Handball Championship were analysed. The results show that distance is relevant in the effectiveness of throwing, setting the build up, throwing while supported or jumping, the type of throwing, the type of steps cycle used and the supporting foot. This seems to indicate that the determining factor that affects a throw is distance.

Eventual Convergence of the Reputation-Based Algorithm in IoT Sensor Networks

Uncertainty in dense heterogeneous IoT sensor networks can be decreased by applying reputation-inspired algorithms, such as the EWMA (Exponentially Weighted Moving Average) algorithm, which is widely used in social networks. Despite its popularity, the eventual convergence of this algorithm for the purpose of IoT networks has not been widely studied, and results of simulations are often taken in lieu of the more rigorous proof. Therefore the question remains, whether under stable conditions, in realistic situations found in IoT networks, this algorithm indeed converges. This paper demonstrates proof of the eventual convergence of the EWMA algorithm. The proof consists of two steps: it models the sensor network as the UOG (Uniform Opinion Graph) that enables the analytical approach to the problem, and then offers the mathematical proof of eventual convergence, using formalizations identified in the previous step. The paper demonstrates that the EWMA algorithm converges under all realistic conditions.

A “School Of Clinical Ethics”: Clinical Ethics Education for Clinicians and Philosophy Students

"The presentation intends to present and illustrate an experience of teaching clinical ethics realized with a group of clinicians and philosophy students and held at the Philosophy Department of the University of Trento, Italy (Spring 2013 and Spring 2015). The class was intended to train clinicians and students to the main concepts of clinical ethics and to a specific methodology to approach clinical matters with ethical and philosophical tools. The class offered a space and time of listening, confronting, debating and learning. The opportunity to dialogue and to reflect, starting form clinical cases presented by clinicians and to realize an ethical analysis of them, combining languages and competences, resulted extremely relevant for clinicians, for students involved and for the teachers themselves. It represented – as well – a first and previous step to start some action-research in specific clinical units, as the local Intensive Care Unit, the Transplantation Coordination Unit and the Mountain Medicine and Ethics Lab. "

EMERGE Modular Robot: A Tool for Fast Deployment of Evolved Robots

This work presents a platform for evolution of morphology in full cycle reconfigurable hardware: The EMERGE (Easy Modular Embodied Robot Generator) modular robot platform. Three parts necessary to implement a full cycle process, i.e., assembling the modules in morphologies, testing the morphologies, disassembling modules and repeating, are described as a previous step to testing a fully autonomous system: the mechanical design of the EMERGE module, extensive tests of the modules by first assembling them manually, and automatic assembly and disassembly tests. EMERGE modules are designed to be easy and fast to build, one module is built in half an hour and is constructed from off-the-shelf and 3D printed parts. Thanks to magnetic connectors, modules are quickly attached and detached to assemble and reconfigure robot morphologies. To test the performance of real EMERGE modules, 30 different morphologies are evolved in simulation, transferred to reality, and tested 10 times. Manual assembly of these morphologies is aided by a visual guiding tool that uses AprilTag markers to check the real modules positions in the morphology against their simulated counterparts and provides a color feedback. Assembly time takes under 5 min for robots with fewer than 10 modules and increases linearly with the number of modules in the morphology. Tests show that real EMERGE morphologies can reproduce the performance of their simulated counterparts, considering the reality gap. Results also show that magnetic connectors allow modules to disconnect in case of being subjected to high external torques that could damage them otherwise. Module tracking combined with their easy assembly and disassembly feature enable EMERGE modules to be also reconfigured using an external robotic manipulator. Experiments demonstrate that it is possible to attach and detach modules from a morphology, as well as release the module from the manipulator using a passive magnetic gripper. This shows that running a completely autonomous, evolution of morphology in full cycle reconfigurable hardware of different topologies for robots is possible and on the verge of being realized. We discuss EMERGE features and the trade-off between reusability and morphological variability among different approaches to physically implement evolved robots.

Grid Partition Variable Step Alpha Shapes Algorithm

On the basis of Alpha Shapes boundary extraction algorithm for discrete point set, a grid partition variable step Alpha Shapes algorithm is proposed to deal with the shortcomings of the original Alpha Shapes algorithm in the processing of nonuniform distributed point set and multiconcave point set. Firstly, the grid partition and row-column index table are established for the point set, and the point set of boundary grid partition is quickly extracted. Then, the average distance of the k -nearest neighbors of the point is calculated as the value of α . For the point set of boundary grid partition extracted in the previous step, Alpha Shapes algorithm is used to quickly construct the point set boundary. The proposed algorithm is verified by experiments of simulated point set and measured point set, and it has high execution efficiency. Compared with similar algorithms, the larger the number of point sets is, the more obvious the execution efficiency is.