We present a new elemental analysis (EA) technique for organic species (CHNO) that allows fast on-line analysis (10 s) and reduces the required sample size to approximately 1 ng, approximately 6 orders of magnitude less than standard techniques. The composition of the analyzed samples is approximated by the average elemental composition of the ions from high-resolution electron ionization (EI) ...

An important aspect in the development of dependable software is to decide where to locate mechanisms for efficient error detection and recovery. We present a comparison between two methods for selecting locations for error detection mechanisms, in this case executable assertions (EA’s), in black-box modular software. Our results show that by placing EA’s based on error propagation analysis one...

‎in this paper allocating a fixed resource for producing ‎finite projects in order to obtaining a desired level of‎ ‎efficiency will be discussed‎. ‎note that it is assumed that a ‎vector of limited sources is at hand‎. ‎this vector of resources can‎ ‎be contained human resource‎, ‎budget‎, ‎equipment‎, ‎and facilities‎. ‎in ‎any firm there exist different suggestions from subunits for ‎running...

While a considerable amount of research on enterprise ontologies exists, work showing how to use ontologies for enterprise architecture (EA) analysis is scarce. We present our ongoing work on creating analyzable enterprise models using EA-based ontological representation. Our contributions are twofold: first, we show how an existing EA modeling language can be leveraged to create EA ontology an...

error is an inevitable part of life and cannot be completely eliminated, but it can be minimized. a root cause analysis is a technique for understanding the systematic error causes that is involved beyond a person or people to implement an errors and including field and environmental causes of errors when occur in this situation too. an important factor of an error occurrence is a root cause (c...

Currently the documentation of Enterprise Architectures (EA) requires manual collection of data resulting in an error prone, expensive, and time consuming process. Recent approaches seek to automate and improve EA documentation by employing the productive system environment of organizations. In this paper, we investigate a specific Enterprise Service Bus (ESB) considered as the nervous system o...

Sequential and parallel evolutionary algorithms (EAs) are developed and evaluated on two hard optimisation problems arising in the field of Telecommunications: designing error correcting codes, and finding optimal placements for antennas in radio networks. Different EA models (generational, steadystate and cellular) are compared on these two problems, both in sequential and parallel versions. W...

Enterprise architecture (EA) management has become an intensively discussed approach to manage enterprise transformations. Despite the popularity and potential of EA, both researchers and practitioners lament a lack of knowledge about the realization of benefits from EA. To determine the benefits from EA, we explore the various dimensions of EA benefit realization and report on the development ...