Journal of Advances in Computer Engineering and Technology
Volume:4 Issue: 3, Summer 2018

Abstract of Re-engineering of Industrial CMMI Through this research, I have established a general strategy to appraise an organization against a scale of five process maturity levels whilst maintaining a strong mechanics of CMMI. Reengineering of industrial CMMI proposes a novel method for Industrial Competence ranking of those organizations/companies which are targeting various CMMI levels. This approach uses SCAMPI assessment techniques to rank different organizations that fall below certain level of CMMI model. Furthermore, it adds the credulous factors, i.e., Score, Reliance and Confidence level for an organization’s capability and maturity evaluation. The benefit of proposed model is, that an organization can set its objectives to achieve target level of CMMI model, and it could be differentiated from less mature organizations at same level. This technique not only reclassifies the CMMI levels but also exposes various confidence factors.Index Terms— CMMI, Industrial Process Optimization, Process Engineering, Capability and Maturity Ranking, Product Quality Assurance.

Due to the increasing growth of processing cores in complex computational systems, all the connection converted bottleneck for all systems. With the protection of progressing and constructing complex photonic connection on chip, optical data transmission is the best choice for replacing with electrical interconnection for the reason of gathering connection with a high bandwidth and insertion loss on chip was mentioned. Optical routers play an important role in the Optical Network-on-Chip (ONoC), which are responsible for selecting the path between optical signal source and the destination. In recent years, silicon optical routers based on Micro-Ring Resonators (MRRs) and Mach-Zehnder Interferometers (MZIs) have been proposed. The design of optical switches is desirable by using of Mach-Zehnder Interferometer. This is while that Micro Ring Resonator Switches have low bandwidth, whereas Mach-Zehnder Interferometer switches have wide bandwidth inherently. Mach-Zehnder Interferometer switches are able to routing with high speed for data transmission with Nano second switching time. This is while, that MRR switches in compare to MZIs has the less power consumption and area consumption. On the other hand we can divide optical routers into parts, A. general router and B. specific- router, so that in specific routers, some of I/O paths for the reason of avoiding deadlock had be omitted. In continue, several kinds of optical router based on MZI and MRR along with researching a series of parameters was mentioned.

Body area networks is one of the types of wireless area networks which has been created to optimize utilizing hospital resources and for earlier diagnosis of medical symptoms, and ultimately to reduce the cost of medical care. This network like most of the wireless networks is without infrastructure and the embedded sensor nodes in the body have limited energy. Hence, the early power completion of the wireless nodes based on the transmission of messages in the network can disrupt the entire network. In this study, a fuzzy clustering based routing is presented to overcome the mention challenge. In this method, the sensor nodes are allocated to the nearest cluster, based on their distance from the cluster head node, and exchange information with the cluster-head at the near distances, and the cluster-head node, due to its high initial energy, can transmit data to the remote server. In this study, due to the movement of the person and the position shift in the sensor nodes and the distances between the cluster-head nodes, sensor nodes belonging to the clusters are also updated and placed in their proper cluster and the transmission of sensory messages was done with its nearest cluster- head node. Simulation results show that the proposed method can be better than other existing methods in and equal condition.

With the fast increase of the documents, using Text Document Classification (TDC) methods has become a crucial matter. This paper presented a hybrid model of Invasive Weed Optimization (IWO) and Naive Bayes (NB) classifier (IWO-NB) for Feature Selection (FS) in order to reduce the big size of features space in TDC. TDC includes different actions such as text processing, feature extraction, forming feature vectors, and final classification. In the presented model, the authors formed a feature vector for each document by means of weighting features use for IWO. Then, documents are trained with NB classifier; then using the test, similar documents are classified together. FS do increase accuracy and decrease the calculation time. IWO-NB was performed on the datasets Reuters-21578, WebKb, and Cade 12. In order to demonstrate the superiority of the proposed model in the FS, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) have been used as comparison models. Results show that in FS the proposed model has a higher accuracy than NB and other models. In addition, comparing the proposed model with and without FS suggests that error rate has decreased.

Efficient message delivery in city environment is required to ensure driver’s safety and passenger’s comfortability. In cities of developed nations, routing of data in vehicular Ad hoc Network (VANET) faces many challenges such as radio obstacles, mobility constraints and uneven nodes distribution. These factors primarily makes communication between vehicles complex. To overcome and transmit data traffic effectively in city environment in the presence of above-mentioned challenges, evaluation of some network parameters conducted. The selected metrics are packet delivery ratio (PDR), end-to-end delay and routing overhead. These are based on three performance of position-based routing protocols: Anchor–based Street and Traffic Awareness Routing (A-STAR), Greedy Perimeter Coordinator Routing (GPCR) and Contention Based Forwarding (CBF) with the help of Simulation of Urban Mobility (SUMO) to generates vehicle mobility in city environment and network simulator (OMNeT++) to creates and calculates needed components. The speed of the vehicles and node density were varied in this process, and the simulated results showed that CBF outperforms significantly than A-STAR and GPCR in terms of packet delivery ratio as the speed varied and with a better end-to-end delays and routing overhead at a lower speed. In addition, CBF performs better than A-STAR and GPCR in terms of packet delivery ratio as the node varied with a better end-to-end delay, and a better routing overhead at a lower node density.

The idea of automatic generation of data entry forms based on data relational models is a common and known idea that has been discussed day by day more than before according to the popularity of agile methods in software development accompanying development of programming tools. One of the requirements of the automation methods, whether in commercial products or the relevant research projects, could be the concept of metadata as a mediator between database and data entry forms. The metadata usually includes some schemas and constraints of target database, which could be used as a model for automatic generation of data entry forms. However, the most metadata models proposed in relevant researches have simple and undetailed structure. In other words, only the initial requirements of data entry are included in their contents. In this study, the main objective is to emphasize structure of metadata to discuss its enrichment methods to cover more requirements of data entry. In this regard, some parts of a metadata model are also presented for objectification of the ideas.