Evaluating Employee Satisfaction in a Production Firm

Import 04/11/2015Tématem mé bakalářské práce je hodnocení spokojenosti zaměstnanců ve výrobní firmě. Teoretická část je věnována pracovní spokojenost, dále pak pracovním podmínkám, komunikaci a systému odměňování. V praktické části bakalářské práce je vyhodnocení dotazníku z let 2011-2013.Topic of my thesis is to evaluate employee satisfaction in the company of production. The theoretical part is devoted to the job satisfaction, as well as working conditions, communications and remunerations system. In the practical part of the thesis is the evaluation of a questionnaire from the years 2011-2013.115 - Katedra managementudobř

Real time predictive monitoring system for urban transport

Ubiquitous access to mobile and internet technology has influenced a significant increase in the amount of data produced, communicated and stored by corporations as well as by individual users, in recent years. The research presented in this thesis proposes an architectural framework to acquire, store, manipulate and integrate data and information within an urban transport environment, to optimise its operations in real-time. The deployed architecture is based on the integration of a number of technologies and tailor-made algorithms implemented to provide a management tool to aid traffic monitoring, using intelligent decision-making processes. A creative combination of Data Mining techniques and Machine Learning algorithms was used to implement predictive analytics, as a key component in the process of addressing challenges in monitoring and managing an urban transport network operation in real-time. The proposed solution has then been applied to an actual urban transport management system, within a partner company, Mermaid Technology, Copenhagen to test and evaluate the proposed algorithms and the architectural integration principles used. Various visualization methods have been employed, at numerous stages of the project to dynamically interpret the large volume and diversity of data to effectively aid the monitoring and decision-making process. The deliverables on this project include: the system architecture design, as well as software solutions, which facilitate predictive analytics and effective visualisation strategies to aid real-time monitoring of a large system, in the context of urban transport. The proposed solutions have been implemented, tested and evaluated in a Case Study in collaboration with Mermaid Technology. Using live data from their network operations, it has aided in evaluating the efficiency of the proposed system

Additional file 7: Table S5. of Integrated data analysis reveals potential drivers and pathways disrupted by DNA methylation in papillary thyroid carcinomas

Differentially methylated probes in BRAFV600E PTC samples. Legend. FGD functional genomic distribution, CHR chromosome, DMR differential methylation region, RDMR reprogramming-specific differentially methylated region, CDMR cancer-specific differentially methylated region, ND not described, NA not available, NS not significant. (XLSX 624 kb

Additional file 4: Table S2. of Integrated data analysis reveals potential drivers and pathways disrupted by DNA methylation in papillary thyroid carcinomas

Expression analysis of PTC versus NT and comparison with TCGA database portal. Legend. FC fold change, FDR false discovery rate, NS not significant, NA not available. (XLSX 115 kb