traumatic peripheral nerve injuries are among most important cause of physical disability among young adults. most partial injuries and some complete injuries recover without operative intervention, with early return of function appearing to be the most significant prognostic factor in these cases. return of function over time depends to a great extent on the underlying neuropathologic conditio...

The possibilities of creating cluster associations enterprises in the sub-branches Machine Building Industry Zaporizhzhia region by determining clustering potential are considered. engineering industry was assessed using localization coefficients, production per person and specialization industries. According to results assessment machine-building there such five sub-sectors were identified whi...

We present a system that uses acoustic signals to monitor equipment in commercial buildings, such as in machine rooms with HVAC system components. The system uses an ensemble of machine learning classifiers to effectively label signals as either “normal” or “abnormal”. We collect audio clips from mobile devices in a machine room and an elevator shaft in the main building of IBM Research. We use...

Computer systems are rapidly becoming so complex that maintaining them with human support staffs will be prohibitively expensive and inefficient. In response, visionaries have begun proposing that computer systems be imbued with the ability to configure themselves, diagnose failures, and ultimately repair themselves in response to these failures. However, despite convincing arguments that such ...

technique is applicable to free form, short text summaries of data that may be stored in a database, file, or document. We refer to these types of text as " technical text passages ". These summaries may not follow standard grammar conventions; they commonly contain abbreviations, technical phrases, misspelled words and industry specific acronyms. Typical types of text to be classified include ...

This paper outlines the development of a knowledgebased expert system for diagnosing machine tool failures. The complexity of machine tool failures and the trouble shooting procedures are deployed. The diagnostic knowledge is acquired from analysis of the troubleshooting and repair reports as well as from interviews with diagnosis engineers. The knowledge base is built using the object oriented...

We model and solve the problem of sequencing a set of jobs with specified processing times and tool requirements on a set of identical parallel machines. Decisions concern the assignment of jobs to machines, their sequencing, and the allocation of tools on each machine. The objective function minimizes the makespan. We propose an adaptive large neighborhood search metaheuristic in which the des...

Abstract: This paper addresses a new analytical approach to evaluate the throughput of a buffered two-workstation manufacturing system with unreliable parallel machines. The parallel machines are not necessarily identical. The failure, repair and processing times of each machine are assumed to be exponentially distributed. The proposed method is based on two steps. The first step consists of tr...

Computer systems are rapidly becoming so complex that maintaining them with human support staffs will be prohibitively expensive and inefficient. In response, visionaries have begun proposing that computer systems be imbued with the ability to configure themselves, diagnose failures, and ultimately repair themselves in response to these failures. However, despite convincing arguments that such ...

• Investigated the trajectory of a fintech AI agent’s trust repair process. Interaction effect anthropomorphism and apology type on was found. In human-like agent, internal attribution repaired better. machine-like external A computer-like agent with an most harmful at repair. Trust is essential in individuals’ perception, behavior, evaluation intelligent agents. Because, it primary motive for ...