Proceedings of world academy of science, engineering and technology, vol 8

A review of essential standards and patent landscapes for the Internet of Things: A key enabler for Industry 4.0

Assurance requirements were included in the disposal regulations to compensate in a qualitative manner for the inherent uncertainties in projecting the behavior of natural and engineered components of the WIPP for many thousands of years (50 FR 38072). Section 194.42 is one of the six assurance requirements in the Compliance Criteria. Section 194.42 specifically addresses requirements for monitoring the disposal system during preand post-closure operations. This requirement distinguishes between preand post-closure monitoring because of the differences in monitoring techniques used to access the repository during operations (pre­ closure) and after the repository has been backfilled and sealed (post-closure). The purpose of monitoring is to confirm that the repository is behaving as predicted.

https://repository.kallipos.gr/bitstream/11419/859/1/02_chapter_A1.pdf

Monitoring στη ΜΕΘ

Conventional techniques for marketing technology products fail primarily because marketers do not truly understand their customers. Do you know what customers really think about your technology? Now, drawing on their award-winning research and case studies ranging from America Online to the Discovery Channel, marketing experts A. Parasuraman and Charles L. Colby demonstrate how the adoption of technology is influenced by unique beliefs that do not apply to conventional products and services. In the context of a general set of powerful techno-marketing strategies, Parasuraman and Colby introduce "Technology Readiness" (TR), a groundbreaking concept that enables you to measure and assess a customer's predisposition to adopt new technologies. Employing their TR construct - a psychological amalgam of fears, hopes, desires, and frustrations about technology - the authors identify five types of technology customers: the highly optimistic and innovative "Explorers," the innovative yet cautious "Pioneers," the uncertain "Skeptics" who need the benefits of technology proved, the insecure "Paranoids," and the resistant "Laggards." Using this typology, you can customize your technology strategies by combining insights from your context-specific assessments with general marketing strategies presented in the book. Essential reading in technology companies will be the chapter devoted to Parasuraman's Pyramid Model, which explains the critical role technology plays in a marketing organization as a link between employees, the organization, and the customer. Finally, the authors have included a self-administered quiz so you can score your own Technology Readiness and a chapter on the "Techno-Ready Marketing Audit" to provide a framework for taking immediate action based on the precepts in this book Знаете ли Вы, что потребители в действительности думают о Вашей технологии ? В своей книге известные маркетинговые специалисты А.Parasuraman и С.Colby демонстрируют как уникальные убеждения/мнения, которые не применимы для обычных товаров и услуг, влияют на то, будет ли технология принята потребителями. Авторы вводят понятие «готовность технологии» - концепцию, которая позволяет оценивать и измерять склонность потребителей к принятию технологии. Используя эту концепцию, они выделяют пять типов потребителей, для каждого из которых должна быть разработана индивидуальная стратегия. В книгу включен перечень вопросов, который позволит менеджерам фирм высокотехнологичного сектора определить «готовность» их технологий.

Techno-Ready Marketing: How and Why Your Customers Adopt Technology (Маркетинг технологий: как и почему Ваши потребители принимают технологии)

We present MCMAS, a model checker for the verification of multi-agent systems. MCMAS supports efficient symbolic techniques for the verification of multi-agent systems against specifications representing temporal, epistemic and strategic properties. We present the underlying semantics of the specification language supported and the algorithms implemented in MCMAS, including its fairness and counterexample generation features. We provide a detailed description of the implementation. We illustrate its use by discussing a number of examples and evaluate its performance by comparing it against other model checkers for multi-agent systems on a common case study.

/pdf/mcmas-an-open-source-model-checker-for-the-verification-of-4vixm3awd0.pdf

MCMAS: an open-source model checker for the verification of multi-agent systems

We show that the problem of signal reconstruction from missing samples can be handled by using reconstruction algorithms similar to the Reed-Solomon (RS) decoding techniques. Usually, the RS algorithm is used for error detection and correction of samples in finite fields. For the case of missing samples of a speech signal, we work with samples in the field of real or complex numbers, and we can use FFT or some new transforms in the reconstruction algorithm. DSP implementation and simulation results show that the proposed methods are better than the ones previously published in terms of the quality of recovered speech signal for a given complexity. The burst error recovery method using the FFT kernel is sensitive to quantization and additive noise like the other techniques. However, other proposed transform kernels are very robust in correcting bursts of errors with the presence of quantization and additive noise.

Efficient algorithms for burst error recovery using FFT and other transform kernels

Data Analytics plays an important role in the decision making process. Insights from such pattern analysis offer vast benefits, including increased revenue, cost cutting, and improved competitive advantage. However, the hidden patterns of the frequent itemsets become more time consuming to be mined when the amount of data increases over the time. Moreover, significant memory consumption is needed in mining the hidden patterns of the frequent itemsets due to a heavy computation by the algorithm. Therefore, an efficient algorithm is required to mine the hidden patterns of the frequent itemsets within a shorter run time and with less memory consumption while the volume of data increases over the time period. This paper reviews and presents a comparison of different algorithms for Frequent Pattern Mining (FPM) so that a more efficient FPM algorithm can be developed.

/pdf/algorithms-for-frequent-itemset-mining-a-literature-review-14pcpuayl4.pdf

Algorithms for frequent itemset mining: a literature review

ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs

Deep neural networks (DNN) have remarkably progressed in applications involving large and complex datasets but have been criticized as a black-box. This downside has recently become a motivation for the research community to pursue the ideas of hybrid approaches, resulting in novel hybrid systems classified as deep neuro-fuzzy systems (DNFS). Studies regarding the implementation of DNFS have rapidly increased in the domains of computing, healthcare, transportation, and finance with high interpretability and reasonable accuracy. However, relatively few survey studies have been found in the literature to provide a comprehensive insight into this domain. Therefore, this study aims to perform a systematic review to evaluate the current progress, trends, arising issues, research gaps, challenges, and future scope related to DNFS studies. A study mapping process was prepared to guide a systematic search for publications related to DNFS published between 2015 and 2020 using five established scientific directories. As a result, a total of 105 studies were identified and critically analyzed to address research questions with the objectives: (i) to understand the concept of DNFS; (ii) to find out DNFS optimization methods; (iii) to visualize the intensity of work carried out in DNFS domain; and (iv) to highlight DNFS application subjects and domains. We believe that this study provides up-to-date guidance for future research in the DNFS domain, allowing for more effective advancement in techniques and processes. The analysis made in this review proves that DNFS-based research is actively growing with a substantial implementation and application scope in the future. 

/pdf/deep-neuro-fuzzy-system-application-trends-challenges-and-fd1u9097.pdf

Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey

Monitoring Quality of Service (QoS) compliance is an important procedure in web service environment. It determines whether users' expectations are met, and becomes the vital factor for them to decide whether to continue paying for the service or not. The monitoring is performed by checking the actual services performance against the QoS stated in Service Level Agreement (SLA). In relation to that, the need for monitoring vague QoS specifications in SLA has become more apparent nowadays. This paper reviews the published literature on web services QoS monitoring. A total of 60 selected articles were systematically analyzed. There were 23 of the articles selected through restrictive search criteria while the other 37 were selected based on unrestrictive search criteria. The review shows that little evidence exists on monitoring vague QoS specifications of web services. Providing ability for monitoring QoS that is specified vaguely in SLA could give new insights and implications to web services field. This paper concludes with some recommended future works to construct the theory and perform the empirical research.

Mohd Hilmi Hasan

Papers

Efficient algorithms for burst error recovery using FFT and other transform kernels

Algorithms for frequent itemset mining: a literature review

ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs

Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey

Monitoring web services' quality of service: a literature review