Modeling of Passenger Transport Logistics Based on Intelligent Computational Techniques

The paper describes the analysis of the application of classic and optimized triangular norms in the hierarchical structure of weighted fuzzy Petri nets on the example of passenger transport logistics. The research is presented in a scheme with several levels of tasks. Each task includes some knowledge sets which were previously given by the experts and set into tables of “Object–property” type. It leads to the creation of a hierarchical structure of weighted fuzzy Petri net model which includes 125 possible combinations of triples of functions for calculation processing. A classic triple of functions (ZtN, GtN, ZsN) is tested and compared with an optimized triple (ZtN, ZtN, LsN). Additional verification methods are applied to confirm the practical usefulness of these triples. These techniques imply the use of additional triples which can be associated with each other along with practically efficient mathematical calculations.

A NewSpeed Power Area and Accuracy (SPAA) Aware Cordic Processing Unit By Vedic Mathematics For The Application of Computer Vision

we are living in the era of fast processing applications like 3D, 5G, 9D. These types of application need a processing unit which have separate arithmetic unit & separate trigonometric unit which is well known as CORDIC processing unit. As we know Graphics processing unit is the brain of any graphics systems now a days there is Gaming specific systems are available which require ultra-high-speed GPU on those GPU there is separate trigonometric calculation processing unit is there which is called CORDIC. So, in this paper basically we proposed a novel architecture of CORDIC unit which is able to give the output in very less time. In this paper we also try to do the justice with the speed power area and accuracy Metrix.

A Quadratic Traversal Algorithm of Shortest Weeding Path Planning for Agricultural Mobile Robots in Cornfield

In order to improve the weeding efficiency and protect farm crops, accurate and fast weeds removal guidance to agricultural mobile robots is an utmost important topic. Based on this motivation, we propose a time-efficient quadratic traversal algorithm for the removal guidance of weeds around the recognized corn in the field. To recognize the weeds and corns, a Faster R-CNN neural network is implemented in real-time recognition. Then, an ultra-green characterization (EXG) hyperparameter is used for grayscale image processing. An improved OTSU (IOTSU) algorithm is proposed to accurately generate and optimize the binary image. Compared to the traditional OTSU algorithm, the improved OTSU algorithm effectively shortens the search speed of the algorithm and reduces the calculation processing time by compressing the range of the search grayscale range. Finally, based on the contour of the target plants and the Canny edge detection operator, the shortest weeding path guidance can be calculated by the proposed quadratic traversal algorithm. The experimental results proved that our search success rate can reach 90.0% on the testing date. This result ensured the accurate selection of the target 2D coordinates in the pixel coordinate system. Transforming the target 2D coordinate point in the pixel coordinate system into the 3D coordinate point in the camera coordinate system as well as using a depth camera can achieve multitarget depth ranging and path planning for an optimized weeding path.

3D MEASUREMENT COMBINING MULTI-VIEW AND MULTI-FOCUS IMAGES USING LIGHT FIELD CAMERA

In recent years, the demand for inexpensive, simple, and highly accurate 3D measurement has been increasing. Representative methods, photogrammetry, and shape from focus (SfF) have limitations in terms of measurement time and labour. In order to solve them, computational photography (CP) has been proposed. A light field camera, based on CP, has also been developed. It has a feature to acquire multi-view and multi-focus images simultaneously in one shot. It is possible to perform 3D measurements with less time and labour for photographing and calculation processing using these images. In this study, we combined the photogrammetry as applied to multi-view images with the SfF as applied to multi-focus images using a light field camera. We applied the proposed method to a rigid body and verified its accuracy. We confirmed that the proposed method achieved more accurate results than the photogrammetry and the SfF method. Furthermore, we applied the proposed method to screws and cracks on walls of buildings and affirmed its applicability. Finally, we suggested future work on the developed method.

Comparison of Two Typical Professional Programs for Mechanical Analysis of Interlayer Bonding of Asphalt Pavement Structure

The mechanical analysis of interlayer bonding problem of asphalt pavement is performed by the elastic layered system theory or finite element method (FEM); then, a lot of specialized programs based on the above theories emerged successively, of which BISAR3.0 and EverStressFE are quite representative. In order to further clarify the characteristics of BISAR3.0 and EverStressFE for investigating interlayer bonding problem of asphalt pavement, this paper will carry out a comprehensive comparison from the specific realization viewpoint, such as the principle of interlayer bonding, modeling, calculation processing, and result treatment, and a specific example will be given to compare and analyze their functions. The results indicate that the two programs have certain comparability in analyzing the interlayer bonding problem of asphalt pavement, which will contribute to the foundation for the rational selection of asphalt pavement structure mechanical analysis program.

Special Issue on Wearable Robotics and Mechatronics Technology

Many wearable devices have been developed and are being currently used, owing to the miniaturization of computers and electronic devices and advancements in calculation processing algorithms. They have various uses and forms, for example, a power assist robot for reducing the burden of work, a wearable sensor for measuring the level of activity and health condition of people and animals, and so on. In Japan, wearable devices have attracted attention as an important technology in a human-centered society (Society 5.0) and can help realize economic development and address social problems. A society that can benefit from a wide range of wearable devices is being realized. This special issue covers robotics and mechatronics technologies for next generation wearable devices to realize such a society, including wearable systems and their elemental technology, AI, IoT, and other relative technologies. We sincerely thank the authors for their fine contributions and the reviewers for their generous time and effort. We would also like to thank the Editorial Board of the Journal of Robotics and Mechatronics for their help with this special issue.

Determination of ways to improve the activities of the Central district hospital in Kazakhstan

The aim of the study: To study the activities of the district-level hospital for further improving the quality of the provided medical services. Methods. A set of research methods was used in the work: 1) information and analytical - analysis of legislative and regulatory legal acts, modern literary sources on the topic of work; 2) statistical calculation, processing and analysis of statistical information; 3) analysis of the main statistical indicators of the structural component and the quality of the result (according to the main indicators of the hospital’s activity). The data were studied for 2015 and 2019 in a comparative aspect to assess the dynamics. Results. The total incidence per 100 thousand population in 2019 is 74 140.6 (in 2015 - 72 911.5, an increase of 3.6%). The primary incidence of the population of the district in 2019 is 43 429.6 (in 2015 - 42 952.8), there is an increase of 1.1% due to an increase in the detection rate at screening examinations. The overall mortality rate in 2019 is 6.30 / 00, in 2015 - 6.90 / 00, comparatively, there is a decrease in total mortality by 8.7%. Based on the results of the data, a SWOT analysis was carried out with the definition of the strengths and weaknesses of the hospital, which make it possible to determine the main directions for the development of a medical organization to improve the quality of medical services provided. Conclusions. In general, during the period under study, morbidity and mortality rates tended to decrease in the Central District Hospital, there is a positive trend in the provision of medical equipment and medical products, an increase of 31.5% compared to 2015. Over the period studied, the situation with the staffing of the Central District Hospital has improved significantly. Key words: SWOT-analysis, hospital management of the district level, medical organizations, Kazakhstan.

Subcortical mapping of calculation processing in the right parietal lobe

Preservation of calculation processing in brain surgery is crucial for patients' quality of life. Over the last decade, surgical electrostimulation was used to identify and preserve the cortical areas involved in such processing. Conversely, subcortical connectivity among different areas implicated in this function remains unclear, and the role of surgery in this domain has not been explored so far. The authors present the first 2 cases in which the subcortical functional sites involved in calculation were identified during right parietal lobe surgery. Two patients affected by a glioma located in the right parietal lobe underwent surgery with the aid of MRI neuronavigation. No calculation deficits were detected during preoperative assessment. Cortical and subcortical mapping were performed using a bipolar stimulator. The current intensity was determined by progressively increasing the amplitude by 0.5-mA increments (from a baseline of 1 mA) until a sensorimotor response was elicited. Then, addition and multiplication calculation tasks were administered. Corticectomy was performed according to both the MRI neuronavigation data and the functional findings obtained through cortical mapping. Direct subcortical electrostimulation was repeatedly performed during tumor resection. Subcortical functional sites for multiplication and addition were detected in both patients. Electrostimulation interfered with calculation processing during cortical mapping as well. Functional sites were spared during tumor removal. The postoperative course was uneventful, and calculation processing was preserved. Postoperative MRI showed complete resection of the tumor. The present preliminary study shows for the first time how functional mapping can be a promising method to intraoperatively identify the subcortical functional sites involved in calculation processing. This report therefore supports direct electrical stimulation as a promising tool to improve the current knowledge on calculation processing connectivity.