Current Issue : April-June Volume : 2025 Issue Number : 2 Articles : 5 Articles
Embedded Systems are used in extreme conditions, often for long lifespans; as such, ensuring hardware reliability is essential. Additionally, the applications of embedded systems can be safety-critical or costly in the event of a failure. Applications and environments such as these demand high reliability. This literature survey explores the challenges of achieving hardware reliability in embedded systems. It examines critical works using different methodologies and viewpoints to summarize hardware reliability comprehensively. The paper discusses the main failure modes identified in embedded systems hardware, evaluates various mitigation strategies, and identifies emerging trends influencing the future of embedded system design. By critically analyzing existing literature, this survey is a resource for future research efforts focused on growing the reliability of embedded systems. Finally, this paper outlines the motivation and first methods for a systems-level approach to embedded systems reliability....
The goal developing a new research tool is to ensure that the measurement tool has a high level of external validity to be generalizable and have a broader reach and also is highly reliable and able to consistently gather the same result. Researchers need to determine the validity and reliability of each assessment to ensure that they are not misleading their readers and the data can be trusted based on statistical evidence to support their conclusions. Reliability is the ability of consistency of the results over multiple tests. This process can be calculated by determining various measurements such as test-retest reliability, parallel-form reliability, split-half reliability by calculating a correlation coefficient or a t-test. Validity is the extent in which a test will measure what is said to test, which can be established by looking and measuring face validity, content validity, criterion-related validity, and construct validity. Validity can be established by using various experts to determine if a test is clear and relevant using a tool such as content validity index. If statistically reliability and validity is established, the research will increase the impact on the research and generalizability can be established....
Mead, an alcoholic beverage made from the fermentation of honey in water by yeast, has an expanding global market and popularity, and a concurrently broadening library of related scientific literature. Quality of mead can be evaluated using both sensory and physicochemical characteristics, with volatile aroma and phenolic profiles being of particular importance. Different mead-making techniques can have significant impact on these parameters and thus the overall mead quality. With the increasing prevalence of mead-quality related research, optimised analytical methodologies are of great relevance to research in this field. This review provides an overview and discussion of the relevant published literature regarding mead quality analysis, with a focus on the analytical methodologies used to evaluate the volatile and phenolic profiles of mead. In addition, the mead production process is outlined, and studies related to the sensory evaluation of mead are summarised. The state of the literature regarding mead quality has seen significant growth in recent years, including the development of improved and increasingly tailored analytical methodology, particularly GC and HPLC methods, although these have great scope to be further optimised for the mead matrix, particularly GC methods. Additionally, there is great scope for studies which integrate multiple aspects of mead quality such as sensory characteristics, volatile aroma components, and potentially bioactive compounds. This review will aid researchers looking to design and develop their own mead-related experimental and analytical methodologies, furthering high-quality research in the field, and contribute towards the advancement of the mead industry....
The reliability growth of electromechanical products is a continuous process of addressing reliability defects, which is very important for manufacturing enterprises. At present, research on the reliability growth of electromechanical products mostly focuses on the reliability defects of the products themselves, ignoring the fact that manufacturing enterprises are the executors of product reliability related work. Improving the organizational reliability capability of manufacturing enterprises can enhance the reliability of electromechanical products. In order to understand the current situation of organizational reliability capability (ORC) in electromechanical product manufacturing enterprises and make improvements, this paper establishes an ORC evaluation indicator framework for electromechanical product manufacturing enterprises and evaluates it using the grey evaluation method. Firstly, an evaluation indicator framework for ORC is established based on enterprise research. Secondly, the ORC of electromechanical product manufacturing enterprises is evaluated by combining the three-parameter interval grey number and projection index function. Then, the evaluation results are analyzed from multiple perspectives to understand the current situation and shortcomings of ORC and guide its improvement. Finally, the evaluation indicator framework and method are explained through practical application in CNC machine tool manufacturing enterprises, and the effectiveness of the framework and method is demonstrated through the MTBF growth of CNC machine tools....
The study aims to discover the effect of quality control and total quality management (TQM) on MSMEs Performance. The unit of analysis is Micro, Small and Medium Enterprises (MSMEs) in Padang City. The study utilized primary data which is obtained through the questionnaire. Sampling technique by using quota sampling. 100 questionnaires from MSMEs were returned as a final sample. Data were analyzed using multiple regression analysis performed by SPSS software. The result shows that quality control positively and significantly affects organizational performance. Total quality management has a positive and significant effect on organizational performance. MSMEs can adopt simple yet effective quality control practices to reduce production defects and waste. Quality control processes integrated with TQM enable MSMEs to identify quality issues at every production stage, making operations more efficient....
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