The System Architecture

The system architecture represents the arrangement of physical and logical components that make up the HIT solution. These might include the hardware, networks, databases, storage components, peripherals and other infrastructure. Note that the system architecture should also take into account the interaction of individual software components and their interfaces which may also be a source of potential hazards and causes. 

The need to analyse the system architecture is important Not all potential failure modes are associated with business processes. The so-called non-functional aspects of the system can represent a rich source of hazards and causes especially when looking at scenarios which relate to unavailability of the system. The architecture 

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The system architecture to implement the optimization model is composed by a database part including also a user interface and the optimization system comprising the optimization model, applied algorithms and interfaces to the database. The architecture has to be sufficient to handle comprehensive industry case data and a user friendly one to support the planner in managing data and analyzing results for decision support. The system architecture is illustrated in fig. 73... 

In the last decade, much effort has been expended on developing novel thermoelectric (TE) materials of increased intrinsic conversion efficiency [9] at same time, the design of the system architecture plays an important role in optimizing the thermal exchange and in maximizing the conversion performance [10]. For that reason, in this section we report an example of a detailed thermal management analysis with the heat re-flowed in the system. 

The system architecture is a major factor in determining the capacity/constraints of a DCCS and this will be substantially affected by the type of data highway employed and the way in which it is configured. Various DH configurations are illustrated in Fig. 7.107. 

The fact that there are four saline-based chromophores and the experimental evidence that they appear in at least two distinct but overlapping sets of three should be important in inferring the actual relationship between the genes and the chromophores. Comparing the genetic code for the common chromophores between the ultraviolet sensitive members of Arthropoda who are believed to lack a L-channel chromophore and the members of Mollusca and Chordata who do exhibit L-channel sensitivity should prove beneficial. Since most members of Chordata are known to be tetrachromatic, focusing on the presence or absence of the ultraviolet chromophore may not be as fruitful. Recent data has confirmed that the system architecture of the human system is tetrachromatic. Our vision in the ultraviolet is limited primarily by the absorption of our lens group. 

The vector representation makes it easy to combine a large number of heterogeneous features without increasing the complexity of the system architecture. The input vectors representing various features can be concatenated to improve feature extraction and predictive accuracy. Figure 7.2 illustrates the use of a composite indicator vector for a 5-gram sequence window. Here, each amino acid residue is represented by 39 units, concatenated from binary indicator vectors of the different alphabet sets with 20, 6, 4, 3, 3, and 3 units. As discussed above, the indicator vector may also be real-valued, or derived from various alphabets. 

The firm has failed to generate approved high-level system definition documents explaining the systems architecture and functions. [FDA 483, 1999]... 

The System Architectural Diagrams do not document that the Quality Unit has approved the diagrams. [FDA 483, 2002]... 

Figure 5.68 gives an overview of the system architecture. Based upon the... 

Figure 7.17 illustrates the system architecture we have chosen to incorporate our integration framework into Comos PT. 

The amount of time involved with the separation is going to be a function of the length of the column, the linear velocity, and the capacity term we discussed above. If one wants to get the most flexible column system for a variety of separation problems, what one is going to want to do is optimize each of these terms (fluid velocity, concentration and separation time). What one is forced to consider is the ability to have a dynamic column length control built into the system architecture, which will minimize the amount of dilution, shorten the amount of time to get components out, keep the pressure at its lowest possible level for maximum operating capability, and not sacrifice the ability to separate compounds. 

Finally, it is worth noting that systems will differ in the availability of different types of user interfaces, APIs, and their support for third-party applications and/or programming protocols. Although this may not be a critical issue from the system architecture perspective, it can be an important factor when deciding on the final choice of a system when there is a heavy dependence on the existing user base... 

The most abstract level of MEMS design is the use of block diagrams and mathematical spreadsheets to lay out the system architecture and evaluate the designeds first ideas and case studies. 

Clear definition of Requirements comes first. The next phase is the System (architectural) Design. Systemic design precedes always the detailed design. The modelling of units should be at the level of detail capable to capture the behaviour of the system. After solving appropriately the conceptual phase, the project may proceed with the Implementation and Units Test, and finally with the System Test. 

The system architecture is able to maintain the information content of the sensor measurements and the glomerular processing with the spike persistency block gives performances that are comparable to the standard processing algorithm. 

Depending on the scope of a paperless project, it is important to consider both the system strategy and the system architecture. Often, there is only a limited choice of relevant systems that meet a pharmaceutical company s IT strategies and preferred platform. Furthermore, there will often be some existing systems in place that do not support the scope of replacing paper used in daily operations. Paperless operations have in the past been used as a sales promotion feature for specific products that purport to enable paperless operation. As configurable standard systems have gained acceptance in many... 

The system architecture has a previously unidentified single point of failure... 

In the initial candidate architecture (control structure), a decision is made to introduce a human operator in order to supervise robot movement as so many of the hazards are related to movement. At the same time, it may be impractical for an operator to monitor aU the activities so the first version of the system architecture is to have the TTPS control system in charge of the non-movement activities and to have both the TTPS and the control room operator share control of movement. The safety-guided design process, including STPA, will identify the implications of this decision and wUl assist in analyzing the allocation of tasks to the various components to determine the safety tradeoffs involved. 

Level 3 specifies the system architecture and serves as an unambiguous interface between system engineers and component engineers or contractors. At level 3, the system functions defined at level 2 are decomposed, allocated to components, and specified rigorously and completely. Black-box behavioral component models may be used to specify and reason about the logical design of the system as a whole and... 

A second example illustrates that in some cases the system architecture should be modified largely through changes to operational procedures, and not by adding new engineered systems or components to address a need. 

The system architecture is as follows. Chemical structure information is handled in a graphics based system. A physicochemical data module, not yet fully operational, links analytical data to chemical structures. At a level below the structures are held compound data e.g. sample data such as solubility, and tracking data/test history. Under this are a number of biological project databases. Eventually there will be more than thirty of these, one for each project. 

The multiprocessing system presented in this paper has been the result of a joint development effort of the Beilstein Institute of organic chemistry and Softron. While Beilstein provided its chemical know-how, hand-selected test data, and, last but not least, the funding, Softron defined the system architecture, built the hardware, wrote the operating system, and developed the search algorithms. 

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