Lean manufacturing: Trends and implementation issues

Duraković, Benjamin; Demir, Rukiye; Abat, Kemal; Emek, Celal

doi:10.21533/pen.v6i1.45

Cited by 63 publications

(66 citation statements)

References 61 publications

(71 reference statements)

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“…A unicast would be used to transmit a route reply message to establish the passage of conveyance between the two nodes. In this simulation, it is evident that there was anomaly detected between the source point (20) and the target node (40). The energy consumption illustrated in figure 4 shows that there was a surge between node 30 and 40 indicating that that was increased traffic requiring more energy.…”

Section: Methodsmentioning

confidence: 81%

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Reactive protocols for unified user profiling for anomaly detection in mobile Ad Hoc networks

Qasim

Mohammed

Sosa

et al. 2019

PEN

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The Next Generation mobile network expected to be fully automated to meet the growing need for data rates and quality in communication. These prodigious demands have also increased the amount of data being handled in these wireless networks. The cellular networks can leverage vital data about the user and the network conditions providing all-inclusive visibility and intelligence in communication. Emerging analytic technologies such as big data and neural networks have been used to unearth vital insight from network traffic to assist intelligent models in routing packets. Reactive protocols are an emerging model in the intelligent routing of traffic in ad-hoc networks. In this paper, we first utilize the reactive protocols to route traffic in a wireless network while analyzing anomalous behavior. In the case of anomaly detection in wireless communication, combined performance indicators to identify outliers. The detected outliers been compared with the ground data and routes created using the reactive protocols. The combination of reactive protocols and the key performance indicators in network performance uncovered anomalies leading to segregation of these traffic in routing. From the results, it is evident that an abrupt surge in the traffic indicated an anomaly and identify the areas of interest in a network especially for resource and path allocation and fault avoidance. A MATLAB GUI was used to simulate the reactive protocols for routing of traffic and generation of datasets that analyze in Microsoft Excel to characterize the key performance indicators of the network.

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Section: Methodsmentioning

confidence: 81%

“…The anomaly detection procedure in this research utilizes a numerical quantification of the deviations from the characteristic routing in the network [18][19][20]. The defined profiles provided the benchmark for the normal behaviors of the network nodes.…”

Section: Anomaly Detectionmentioning

confidence: 99%

Reactive protocols for unified user profiling for anomaly detection in mobile Ad Hoc networks

Qasim

Mohammed

Sosa

et al. 2019

PEN

View full text Add to dashboard Cite

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“…In the regressive moment, the living individual experience is the data source [22]. In the progressive moment We now turn to the future, reflecting the retrograde echo as "the future of the present in the sense that it is the present of the past , Based on Pinar's idea that the future affects, in complex ways, present and present, to understand the future, one must think of the future at present, because "the future exists in the same sense as the past" [15,24,25] . In the analytical moment We have now reached the analytical moment, examining the present through a more reflective exercise.…”

Section: Four Moments/steps Of the Methods Of Currerementioning

confidence: 99%

Role of the academic curriculum in the development of the basic learning outcomes (knowledge - skills – capabilities) of the architect using the method of currere

Yousif

Rizco

2019

PEN

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Basic learning outcomes play an important role in giving students the general academic profile that determines the characteristics of the academic program outcome. The research problem is formulated, which is the lack of clarity about the role of the academic curriculum in the development of the basic learning outcomes of the architect in particular. Based on the foregoing, the research has tackled the development of basic learning outcomes (knowledgeskill-capability) for the architect in particular, using the method of Currere that is approved globally in the development of academic curricula and vocabulary (knowledge-skill-capacity) for the purpose of developing the efficiency of the academic outcome. The research adopted a descriptive analytical method using the method of Currere. The results of the research include a diagnose of a number of gaps which were based on reviewing the vocabulary of the course according to the need for it or its compatibility with the academic description of the graduate engineer or the academic outcome. Furthermore, the research determines some conclusions that showed the shortcomings of the academic curriculum and the reality of the practice, as well as the research has recommended with a set of recommendations that maximize the compatibility between the outcomes of the academic program and the requirements of the labor market.

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“…The flexibility of the system is increased using the agent application [34]. The agent application is also capable of segregating the functionality of the system [14] while enabling interaction between the system and its modules [35], [36]. The MNLAS model is made up of five agents as shown in Figure 2.…”

Section: The Proposed Modelmentioning

confidence: 99%

An Anti-Spam Detection Model for Emails of Multi-Natural Language

Mohammed¹,

Mostafa²,

Obaid³

et al. 2019

Journal of Southwest Jiaotong University

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The spam is one of the illegal and negative practices that involves the use of email services to send unsolicited emails such as phishing for the purpose of scamming which influences the reliability of email. Investigations have been conducted from various perspectives in order to examine this spam problem and how it affects society. In this regard, many studies have been carried out with the aim of studying the effect of spam activity on finance, economy, marketing, business and management, while other studies have focused on studying the influence of spam on security and privacy. Consequently, the literature affords various anti-spam methods that blocks or filters spam emails. This paper investigates the existing anti-spam methods, highlights some current problems and carries out an improved anti-spam model. In this regard, a new agent-based of Multi-Natural Language Anti-Spam (MNLAS) model is proposed. The MNLAS model process in the spam filtering process of an email both visual information such as images and texts in English and Arabic languages. The Jade agent platform and Java environments are employed in the implementation of MNLAS model. The MNLAS model is tested on a 200 emails' dataset and the results show that it is able to detect and filter various kinds of spam emails with high accuracy.

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Lean manufacturing: Trends and implementation issues

Cited by 63 publications

References 61 publications

Reactive protocols for unified user profiling for anomaly detection in mobile Ad Hoc networks

Reactive protocols for unified user profiling for anomaly detection in mobile Ad Hoc networks

Role of the academic curriculum in the development of the basic learning outcomes (knowledge - skills – capabilities) of the architect using the method of currere

An Anti-Spam Detection Model for Emails of Multi-Natural Language

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