Development of Mechanical Design, Manufacturing and Automation

The technical level and scale of machinery manufacturing industry are one of the most important factors to measure a country’s industrialization degree and comprehensive strength of national economy. In present, the rapid development of China has also undergone leapfrog changes in the development of machinery manufacturing and automation, however, the development trend of mechanical manufacturing and its automation has gradually developed from the previous manual work to the direction of network virtualization, machine miniaturization and industrial intelligence.

Application of Artificial Intelligence in Chemistry

All the problems can be solved with the help of machines mainly computers using algorithm and by interpreting their output data is considered as artificial intelligence (AI). Artificial intelligence is faster than manual work, reduces manpower, more efficient and accurate and used in various field these days and coming up with more advanced technology. With the help of artificial intelligence, drugs can be formulated and produced in an advanced way. New machineries’ used in chemical or pharmaceutical labs are much advanced these days, that reduces the time of the analysis. There is a strong bond between artificial intelligence and chemistry. In the field of chemistry designing new molecules, molecular property detection of molecules and compounds, drug discovery, synthesis and retrosynthesis of molecules, analysis prediction for better and accurate results, all these can be done with the help of artificial intelligence.

A Literature Review: Detection of COVID-19 in Computed Tomography Images Using Deep Learning

Through the development of the COVID-19 disease, various diagnosis methods have been studied. One of them is the computed tomography (CT), which has the best level of detail among medical image exams. The CT generates a repeatable and tiring workload, in addition to needing a team that is familiar with the findings that indicate pneumonia caused by COVID-19. To reduce this manual work and collaborate with these teams, several studies have been carried out using deep learning techniques. In this way, this study presents a review of the literature regarding the detection of COVID-19 in CT that uses deep learning to collaborate with a theoretical basis for future works.

An Efficient RRT Algorithm for Motion Planning of Live-Line Maintenance Robots

The application of robots to replace manual work in live-line working scenes can effectively guarantee the safety of personnel. To improve the operation efficiency and reduce the difficulties in operating a live-line working robot, this paper proposes a multi-DOF robot motion planning method based on RRT and extended algorithms. The planning results of traditional RRT and extended algorithms are random, and obtaining sub-optimal results requires a lot of calculations. In this study, a sparse offline tree filling the planning space are generated offline through the growing–withering method. In the process of expanding the tree, by removing small branches, the tree can fully wiring in the planning space with a small number of nodes. Optimize wiring through a large number of offline calculations, which can improve the progressive optimality of the algorithm. Through dynamic sampling and pruning, the growth of trees in undesired areas is reduced and undesired planning results are avoided. Based on the offline tree, this article introduces the method of online motion planning. Experiments show that this method can quickly complete the robot motion planning and obtain efficient and low-uncertainty paths.

A cryogen-free, semi-automated apparatus for bullet-dynamic nuclear polarization with improved resolution

In dissolution-dynamic nuclear polarization, a hyperpolarized solid is dissolved with a jet of hot solvent. The solution is then transferred to a secondary magnet, where spectra can be recorded with improved sensitivity. In bullet-dynamic nuclear polarization this order is reversed. Pressurized gas is used to rapidly transfer the hyperpolarized solid to the secondary magnet, and the hyperpolarized solid is dissolved only upon arrival. A potential advantage of this approach is that it may avoid excessive dilution and the associated signal loss, in particular for small sample quantities. Previously, we have shown that liquid-state NMR spectra with polarization levels of up to 30 % may be recorded within less than 1 s after the departure of the hyperpolarized solid from the polarizing magnet. The resolution of the recorded spectra however was limited. The system consumed significant amounts of liquid helium, and substantial manual work was required in between experiments to prepare for the next shot. Here, we present a new bullet-DNP (dynamic nuclear polarization) system that addresses these limitations.

Design and Development of Online Pizza Ordering System

The “Pizza Ordering System" has been developed to override the problems prevailing in the participating manual system. This software is supported to eliminate and in some cases reduce the hardships faced by the existing system. Moreover this system is designed for the particular need of the company to carry out operations in a smooth and effective manner. The application is reduced as much as possible to avoid errors while entering the data. No formal knowledge is needed for the user to use this system. The main objective of the Pizza Ordering System is to manage the details of Payments, Customer, Pizza, and Order Status. The project is totally built at administrative end and thus only the administrator is guaranteed the access. The purpose of the project is to build an application program to reduce the manual work for managing the Payments, Customer, and Online Order. It tracks all the details about the Pizza, Order Status. The purpose of Pizza Ordering System is to automate the existing manual system by the help of computerized equipment and full- fledged computer software, fulfilling their equipment, so that their valuable data/information can be stored for a longer period with easy accessing and manipulation of the same. The required software and hardware are easily available and easy to workwith. Keywords: Include at least 5 keywords or phrases

Development of Double-Sided Multipoint Press CNC and Operational Technology for Producing Freeform Molds

Many studies concerning the precision manufacturing of freeform concrete panels have been conducted, however, this process remains labor intensive taking significant amounts of time and cost. In particular, the precision in the shape of the panels produced tends to be low because of the manual work involved in producing the curves of those panels. This study documents the development of mold production technologies that can be used to produce precise curved surfaces on the upper and lower parts of a mold for freeform concrete panels. A double-sided multipoint press CNC (computer numerical control) produces curved upper and lower surfaces of a mold without the need for manual work, while the operational technology we developed to control this tool enhances the precision of the curves created. The precision of these technologies was verified through experiments. The difference between the shapes designed and those produced were found using 3D scans and quality inspections. Unpredictable errors can occur due to the size of certain curvatures, the elasticity of the silicone plate, and the rotational angle of the joints of the rods supporting the surfaces. To minimize errors, shape compensation was carried out through reverse engineering, leading to a maximum error of 2.887 mm, which is within the allowable error. The results achieved in this study are a significant step toward technologies that will produce increasingly precise freeform concrete panels.

Do intellectual activity and manual work imply different links?

In the context of contrasting intellectual and manual work, we developed research to compare the turnover intentions from the organization among Human Resource Management (HRM) teachers and building construction workers. We applied the Behavioral Intentions to Stay in the Organization Scale (BISOS) and a sociodemographic form in 154 workers in Belo Horizonte, 77 teachers and 77 construction workers. We also applied semi-structured interviews to a small number of participants, exploring the participants’ arguments about these intentions. Among the teachers, there was a predominance of the intention to leave, whilst among the construction workers, the intention to stay. The difference between the distributions was statistically significant. We identified, however, a fragility of bonds with the organization for both occupational groups. On the one hand, the turnover intentions and the justifying arguments in their similarities and differences did not corroborate the expected polarization between intellectual and manual work. On the other hand, we can understand them as simultaneously reflecting the country’s current economic scenario and the educational profile of the two groups, in which construction workers have fewer options for reinsertion into the market, while teachers’ training enables other insertions into the market and/or having more than one job.

Web-Based Acceptance Of Candidate Mustahiq Information System (Cangkir Yadufa Social Religious Foundation)

In a foundation there is a need for fast and fast mustahiq data storage. This socio-religious foundation for the yadufa cup is still stored manually. The previous data storage was still using Microsoft Excel. In the current era technology is needed, information systems to make it easier for admins to complete their work. From manual work to computerized. The writing uses data collection methods in the form of interviews with the admin of the foundation to find out the problems. Then do a literature study by reading the appropriate previous research. Then analyze the main problems that exist to determine the boundaries of the problem. The conclusion of this study aims to research the manufacture of "WEB- based information system for acceptance of mustahiq candidates (Yayasan socio- religious cup Yadufa) is to create and provide an information system that can be used to store data accurately, record recipients of mustahiq participants quickly and accurately.

The Study on the Construction Method of Bolting-Grouting Integrated Operation for Unmanned Arch Erection

It is of great significance to improve the mechanization level and construction quality of tunnel construction. At present, large cross-section tunnels are emerging in China. The construction method based on manual work and supplemented by a machinery has long construction period, high labor intensity, and structural quality that cannot be guaranteed. To address those issues, this paper proposes the construction method of bolting-grouting integrated operation for an unmanned arch erection to achieve the rapid and safe construction of large section tunnels and reducing the amount of manual work. This paper mainly introduces the bolting-grouting integrated operation trolley, which can achieve the automatic installation of steel arch, the construction of locking anchor pipe, and shotcrete. Besides, this paper designs a new type of steel arch and an alternative way of longitudinal connecting reinforcement of steel arch. Moreover, with the field test and optimization adjustment of the Xinwushaoling tunnel, it is found that the construction method of bolting-grouting integrated operation for unmanned arch erection can overcome some disadvantages of traditional construction methods.