Semisolid Materials Processing: A Sustainability Perspective

Sustainable development is increasing in importance with restrictions on emission and carbon footprint. Similarly, both energy and resources efficiency are required, and at the same time, cost-efficiency is required. The current paper is focusing on carbon footprint, energy usage and material use efficiency of semisolid metal casting. A detailed analysis is made on the RheoMetal process, which is benchmarked to conventional HPDC casting. The analysis includes the gating system and the importance of the use of primary or secondary material. It furthermore includes a discussion of process yield and benefits based on process capability.

R&D of the PERT basic model for project planning

The guiding principles of project implementation are planning. The discrepancy in time, cost, and quality between the plan and the actual implementation of the project requires management decisions supported by an analysis of the optimization of the duration of the project and the search for reserves to reduce the implementation time. For this purpose, a basic PERT model for a specific project was developed, early and late deadlines for work, time reserves, and a critical path were calculated. This work is aimed at applying methods of evaluation and analysis of projects to find optimal solutions and control the efficiency of time and costs in project planning, by varying the work on the project and the executors of the work. The results of this study showed that there are quite large time reserves for works 5-7, 7-9, 6-9, etc., which makes it possible to redistribute work between performers and allows you to vary performers during the implementation of several projects simultaneously.

Investigation of code-switching cost in conversation and self-paced reading tasks

Aims and objectives: Studies of code-switching (CS) in bilingual speakers using laboratory tasks have been equivocal on whether CS is cognitively demanding. The goal of this study was to examine time costs at the juncture of a CS in a more ecologically valid experimental paradigm. Methodology: English (L1)–French (L2) bilingual speakers performed two tasks. The primary experimental task was a novel paradigm that elicited voluntary code-switches in conversation with a bilingual interlocutor. A silent self-paced reading task was used to compare with a laboratory task with involuntary switches. Data and analysis: Intersyllabic durations (conversation task) and reading times (reading task) were analyzed. CS cost was the time difference between code-switches and matched non-switches. Cost-switching costs for each switch direction (English-to-French and French-to-English) and type of switch (alternations and insertions) were also compared. Findings: Code-switches in conversation were associated with a time cost, and the magnitude was comparable in both directions although speakers more frequently switched from French-to-English. In self-paced reading, switching costs were observed only for switches into the dominant language. Across both tasks, there were no differences in CS time cost between insertions and alternations. Originality: This study reports a novel measure of CS costs in conversation, intersyllabic duration, and provides a cross-task comparison in the same group of bilingual speakers to better inform theories of CS. Implications: Bilingual speakers experience a time cost when making voluntary switches in conversations. The symmetrical switch costs suggest that both languages have similar activation levels throughout the conversation, and the cognitive costs arise from the act of momentarily switching languages, irrespective of their dominance. In self-paced reading, cognitive costs arise from disturbing the status quo of relative activation-inhibition of each language adopted to perform the task. The comparable CS time cost for insertions and alternations suggests similar cognitive control and linguistic planning mechanisms for both types of switches.

Uberization of Healthcare

Over the years, health literacy has embodied various forms to aid healthcare decisions. For technology and health literacy to merge, the author examines and discusses how the following three elements can be applied to implement a type of technology and to what audience: 1) time, 2) cost, and 3) engagement. Through focused time, cost, and engagement efforts, healthcare can be optimized without reductions to the quality of information. Due to its rapid spread, information could to be fixed accordingly. This would positively impact the decision-making process for communities and public and private sectors. Benefits outweigh risks related to the implementation of technology and health literacy. Traditional medicine is known to have difficulties adapting to change. However, the risk is too high not to explore the use of technology and health literacy.

A Deadline Constrained Time-Cost effective Salp Swarm Algorithm for Resource Optimization in Cloud Computing

Nowadays, Cloud Computing has become the most attractive platform, which provides anything as a Service (XaaS). Many applications may be developed and run on the cloud without worrying about platforms. It is a big challenge to allocate optimal resources to these applications and satisfy user's quality of service requirements. Here, in this paper, a Deadline Constrained Time-Cost effective Salp Swarm Algorithm (DTC-SSA) is proposed to achieve optimized resource allocation. DTC-SSA assigns the user's task to an appropriate virtual machine (Vm) and achieves a trade-off between cost and makespan while satisfying the deadline constraints. Rigorous examination of the algorithm is conducted on the various scale and cloud resources. The proposed algorithm is compared with Particle Swarm Optimization (PSO), Grey Wolf Optimizer(GWO), Bat Algorithm(BAT), and Genetic Algorithm(GA). Simulation results prove that it outperforms others by minimizing makespan, execution cost, Response time, and improving resource utilization throughput.

Vermicompost production monitoring and the internet of things

This article presents the results obtained by implementing an application with an architecture based on the Internet of Things, applied to the production of red California earthworm, using an interface with which it is possible to monitor and collect data on temperature, humidity and PH with sensors that allow recording the necessary data. For the implementation, an experimental module was built in which the temperature and humidity variables were monitored, with the data obtained from the sensor measurements, the constant changes in temperature (between 20 to 29 ºC) and humidity (from 35% to 50%) were observed, This information made it possible to keep a weekly plan in which irrigation, aeration and compost mixing were attended to in a timely manner, reducing time, cost and human labor in the production of the red California earthworm and maintaining the reproduction of the red California earthworm in optimal conditions.

Sports Action Recognition Based on Image Processing Technology and Analysis of the Development of Sports Industry Pattern

The current era is an information age, and society is turning to the information age. The image processing technology is also widely used in various fields, and the technology of sports action recognition based on image processing technology can also be said to be appropriate. This article uses a spatial visual feature analysis algorithm to implement it. To implement this algorithm, a series of work such as image collection, feature extraction, and action recognition must be completed first and then implemented through texture functions and other related functions. This algorithm can be used to complete the image-based sports action recognition technology at the minimum time cost. This algorithm can help sportsmen better complete training and standardize movements to a certain extent. As for the development of China’s current sports industry structure, it is also steadily improving. The people’s love for sports is getting stronger and stronger, which also makes the development of China’s sports industry still benefit a lot.

Quality Identification of Sauce-Flavor Liquor Based on the Tyndall Phenomenon

There is an obvious colloid state in sauce-flavor liquor due to its unique brewing process and long storage time, which is an important quality feature of sauce-flavor. Aiming at the problems of time, cost, and the strong professionalism of the traditional quality identification method, we proposed a method to identify the quality of sauce-flavored liquor based on the Tyndall phenomenon. The influence of different wavelengths of light on the light scattering in liquor was explored, and it was concluded that the ultraviolet and blue light bands have a certain efficiency in the identification of liquor. Additionally, we analyzed the relationship between the particle size uniformity of liquor colloids and liquor quality according to the Tyndall phenomenon. We found that higher quality liquor has a brighter and lighter Tyndall path and a smaller light flooding angle due to the uniformity of the particles in it. This method can be used to achieve qualitative identification and is suitable for the identification of sauce-flavored liquor.