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Articles 1 - 30 of 57
Full-Text Articles in Physical Sciences and Mathematics
Fractional Nonlinear Volterra–Fredholm Integral Equations Involving Atangana–Baleanu Fractional Derivative: Framelet Applications, Mutaz Mohammad, Alexander Trounev
Fractional Nonlinear Volterra–Fredholm Integral Equations Involving Atangana–Baleanu Fractional Derivative: Framelet Applications, Mutaz Mohammad, Alexander Trounev
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© 2020, The Author(s). In this work, we propose a framelet method based on B-spline functions for solving nonlinear Volterra–Fredholm integro-differential equations and by involving Atangana–Baleanu fractional derivative, which can provide a reliable numerical approximation. The framelet systems are generated using the set of B-splines with high vanishing moments. We provide some numerical and graphical evidences to show the efficiency of the proposed method. The obtained numerical results of the proposed method compared with those obtained from CAS wavelets show a great agreement with the exact solution. We confirm that the method achieves accurate, efficient, and robust measurement.
Improving Binary Classification Using Filtering Based On K-Nn Proximity Graphs, Maher Ala’Raj, Munir Majdalawieh, Maysam F. Abbod
Improving Binary Classification Using Filtering Based On K-Nn Proximity Graphs, Maher Ala’Raj, Munir Majdalawieh, Maysam F. Abbod
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© 2020, The Author(s). One of the ways of increasing recognition ability in classification problem is removing outlier entries as well as redundant and unnecessary features from training set. Filtering and feature selection can have large impact on classifier accuracy and area under the curve (AUC), as noisy data can confuse classifier and lead it to catch wrong patterns in training data. The common approach in data filtering is using proximity graphs. However, the problem of the optimal filtering parameters selection is still insufficiently researched. In this paper filtering procedure based on k-nearest neighbours proximity graph was used. Filtering parameters …
A Set Theory Based Similarity Measure For Text Clustering And Classification, Ali A. Amer, Hassan I. Abdalla
A Set Theory Based Similarity Measure For Text Clustering And Classification, Ali A. Amer, Hassan I. Abdalla
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© 2020, The Author(s). Similarity measures have long been utilized in information retrieval and machine learning domains for multi-purposes including text retrieval, text clustering, text summarization, plagiarism detection, and several other text-processing applications. However, the problem with these measures is that, until recently, there has never been one single measure recorded to be highly effective and efficient at the same time. Thus, the quest for an efficient and effective similarity measure is still an open-ended challenge. This study, in consequence, introduces a new highly-effective and time-efficient similarity measure for text clustering and classification. Furthermore, the study aims to provide a …
Digital Transformation In Higher Education: A Framework For Maturity Assessment, Adam Marks, Maytha Al-Ali, Reem Atassi, Abedallah Zaid Abualkishik, Yacine Rezgui
Digital Transformation In Higher Education: A Framework For Maturity Assessment, Adam Marks, Maytha Al-Ali, Reem Atassi, Abedallah Zaid Abualkishik, Yacine Rezgui
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© 2020 Science and Information Organization. All rights reserved. —Literature in digital transformation maturity is scarce. Digital transformation in higher education, especially after COVID-19 is seen as inevitable. This research explores digital transformation maturity and challenges within Higher Education. The significance of this study stems from the role digital transformation plays in today’s knowledge economy. This study proposes a new framework based on Deloitte’s 2019 digital transformation assessment framework with Petkovic 2014 mega and major higher education process mapping. The study triangulates the findings of multiple research instruments, including survey, interviews, case study, and direct observation. The research findings show …
Perceptions And Misperceptions Of Smartphone Use: Applying The Social Norms Approach, John Mcalaney, Mohamed Basel Almourad, Georgina Powell, Raian Ali
Perceptions And Misperceptions Of Smartphone Use: Applying The Social Norms Approach, John Mcalaney, Mohamed Basel Almourad, Georgina Powell, Raian Ali
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The social norms approach is an established technique to bring about behaviour change through challenging misperceptions of peer behaviour. This approach is limited by a reliance on self-report and a lack of interactivity with the target population. At the same time, excessive use of digital devices, known as digital addiction, has been recognized as an emergent issue. There is potential to apply the social norms approach to digital addiction and, in doing so, address some of the limitations of the social norms field. In this study, we trialled a social norms …
A Comprehensive Survey Of The Tactile Internet: State-Of-The-Art And Research Directions, Nattakorn Promwongsa, Amin Ebrahimzadeh, Diala Naboulsi, Somayeh Kianpisheh, Fatna Belqasmi, Roch Glitho, Noel Crespi, Omar Alfandi
A Comprehensive Survey Of The Tactile Internet: State-Of-The-Art And Research Directions, Nattakorn Promwongsa, Amin Ebrahimzadeh, Diala Naboulsi, Somayeh Kianpisheh, Fatna Belqasmi, Roch Glitho, Noel Crespi, Omar Alfandi
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The Internet has made several giant leaps over the years, from a fixed to a mobile Internet, then to the Internet of Things, and now to a Tactile Internet. The Tactile Internet goes far beyond data, audio and video delivery over fixed and mobile networks, and even beyond allowing communication and collaboration among things. It is expected to enable haptic communications and allow skill set delivery over networks. Some examples of potential applications are tele-surgery, vehicle fleets, augmented reality and industrial process automation. Several papers already cover many of the Tactile Internet-related concepts and technologies, such as haptic codecs, applications, …
An Approach To The Acquisition Of Tacit Knowledge Based On An Ontological Model, Wahid Chergui, Samir Zidat, Farhi Marir
An Approach To The Acquisition Of Tacit Knowledge Based On An Ontological Model, Wahid Chergui, Samir Zidat, Farhi Marir
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© 2018 The Authors Our knowledge includes irreducible tacit elements which are related to the individual's personal nature that go beyond what we can express, which makes it very difficult to formalize, communicate and share. As this tacit knowledge consists of either actions or personal attitudes, we propose an approach to acquisition of tacit knowledge based on an ontological model. The ontology is built top down by changing the actors’ cognitive focus from the focal to the subsidiary, or from the aim of an action to its detailed objectives. We also use explicitation interviews and self-confrontation techniques to identify the …
The Impact Of Herbal Infusion Consumption On Oxidative Stress And Cancer: The Good, The Bad, The Misunderstood, Wamidh H. Talib, Israa A. Al-Ataby, Asma Ismail Mahmod, Sajidah Jawarneh, Lina T. Al Kury, Intisar Hadi Al-Yasari
The Impact Of Herbal Infusion Consumption On Oxidative Stress And Cancer: The Good, The Bad, The Misunderstood, Wamidh H. Talib, Israa A. Al-Ataby, Asma Ismail Mahmod, Sajidah Jawarneh, Lina T. Al Kury, Intisar Hadi Al-Yasari
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The release of reactive oxygen species (ROS) and oxidative stress is associated with the development of many ailments, including cardiovascular diseases, diabetes and cancer. The causal link between oxidative stress and cancer is well established and antioxidants are suggested as a protective mechanism against cancer development. Recently, an increase in the consumption of antioxidant supplements was observed globally. The main sources of these antioxidants include fruits, vegetables, and beverage. Herbal infusions are highly popular beverages consumed daily for different reasons. Studies showed the potent antioxidant effects of plants used in the …
Considering Students’ Abilities In The Academic Advising Process, Samia Loucif, Laila Gassoumi, Joao Negreiros
Considering Students’ Abilities In The Academic Advising Process, Samia Loucif, Laila Gassoumi, Joao Negreiros
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Academic advising is time-consuming work. At the same time, it needs to be efficient and productive in assisting the students to choose appropriate academic courses towards the completion of their selected programs in a beneficial manner. In addition, both private and public educational institutions are, currently, operating in an extremely competitive market and are, thus, faced with various challenges. Among these are the twin challenges of student retention and the rate of success in completion of their chosen academic courses. The mentioned challenges have a direct bearing on the quality of …
Resveratrol And Tumor Microenvironment: Mechanistic Basis And Therapeutic Targets, Wamidh H. Talib, Ahmad Riyad Alsayed, Faten Farhan, Lina T. Al Kury
Resveratrol And Tumor Microenvironment: Mechanistic Basis And Therapeutic Targets, Wamidh H. Talib, Ahmad Riyad Alsayed, Faten Farhan, Lina T. Al Kury
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Resveratrol (3,40,5 trihydroxystilbene) is a naturally occurring non-flavonoid polyphenol. It has various pharmacological effects including antioxidant, anti-diabetic, anti-inflammatory and anti-cancer. Many studies have given special attention to different aspects of resveratrol anti-cancer properties and proved its high efficiency in targeting multiple cancer hallmarks. Tumor microenvironment has a critical role in cancer development and progression. Tumor cells coordinate with a cast of normal cells to aid the malignant behavior of cancer. Many cancer supporting players were detected in tumor microenvironment. These players include blood and lymphatic vessels, infiltrating immune cells, stromal fibroblasts …
An Energy Efficient Routing Approach For Iot Enabled Underwater Wsns In Smart Cities, Nighat Usman, Omar Alfandi, Saeeda Usman, Asad Masood Khattak, Muhammad Awais, Bashir Hayat, Ahthasham Sajid
An Energy Efficient Routing Approach For Iot Enabled Underwater Wsns In Smart Cities, Nighat Usman, Omar Alfandi, Saeeda Usman, Asad Masood Khattak, Muhammad Awais, Bashir Hayat, Ahthasham Sajid
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Nowadays, there is a growing trend in smart cities. Therefore, Terrestrial and Internet of Things (IoT) enabled Underwater Wireless Sensor Networks (TWSNs and IoT-UWSNs) are mostly used for observing and communicating via smart technologies. For the sake of collecting the desired information from the underwater environment, multiple acoustic sensors are deployed with limited resources, such as memory, battery, processing power, transmission range, etc. The replacement of resources for a particular node is not feasible due to the harsh underwater environment. Thus, the resources held by the node needs to be used …
A Collocation Method Via The Quasi-Affine Biorthogonal Systems For Solving Weakly Singular Type Of Volterra-Fredholm Integral Equations, Mutaz Mohammad, Carlo Cattani
A Collocation Method Via The Quasi-Affine Biorthogonal Systems For Solving Weakly Singular Type Of Volterra-Fredholm Integral Equations, Mutaz Mohammad, Carlo Cattani
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© 2020 Faculty of Engineering, Alexandria University Tight framelet system is a recently developed tool in applied mathematics. Framelets, due to their nature, are widely used in the area of image manipulation, data compression, numerical analysis, engineering mathematical problems such as inverse problems, visco-elasticity or creep problems, and many more. In this manuscript we provide a numerical solution of important weakly singular type of Volterra - Fredholm integral equations WSVFIEs using the collocation type quasi-affine biorthogonal method. We present a new computational method based on special B-spline tight framelets and use it to introduce our numerical scheme. The method provides …
Evaluating Active Traffc Management (Atm) Strategies Under Non-Recurring Congestion: Simulation-Based With Benefit Cost Analysis Case Study, Siham G. Farrag, Fatma Outay, Ansar Ul Haque Yasar, Moulay Youssef El-Hansali
Evaluating Active Traffc Management (Atm) Strategies Under Non-Recurring Congestion: Simulation-Based With Benefit Cost Analysis Case Study, Siham G. Farrag, Fatma Outay, Ansar Ul Haque Yasar, Moulay Youssef El-Hansali
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© 2020 by the authors. Dynamic hard shoulder running and ramp closure are two active traffic management (ATM) strategies that are used to alleviate highway traffic congestion. This study aims to evaluate the effects of these two strategies on congested freeways under non-recurring congestion. The study's efforts can be considered in two parts. First, we performed a detailed microsimulation analysis to quantify the potential benefits of these two ATM strategies in terms of safety, traffic operation, and environmental impact. Second, we evaluated the implementation feasibility of these two strategies. The simulation results indicated that the implementation of the hard shoulder …
An Efficient Method Based On Framelets For Solving Fractional Volterra Integral Equations, Mutaz Mohammad, Alexander Trounev, Carlo Cattani
An Efficient Method Based On Framelets For Solving Fractional Volterra Integral Equations, Mutaz Mohammad, Alexander Trounev, Carlo Cattani
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© 2020 by the authors. This paper is devoted to shedding some light on the advantages of using tight frame systems for solving some types of fractional Volterra integral equations (FVIEs) involved by the Caputo fractional order derivative. A tight frame or simply framelet, is a generalization of an orthonormal basis. A lot of applications are modeled by non-negative functions; taking this into account in this paper, we consider framelet systems generated using some refinable non-negative functions, namely, B-splines. The FVIEs we considered were reduced to a set of linear system of equations and were solved numerically based on a …
Computational And Pharmacological Evaluation Of Carveol For Antidiabetic Potential, Muhammad Shabir Ahmed, Arif Ullah Khan, Lina Tariq Al Kury, Fawad Ali Shah
Computational And Pharmacological Evaluation Of Carveol For Antidiabetic Potential, Muhammad Shabir Ahmed, Arif Ullah Khan, Lina Tariq Al Kury, Fawad Ali Shah
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© Copyright © 2020 Ahmed, Khan, Kury and Shah. Background: Carveol is a natural drug product present in the essential oils of orange peel, dill, and caraway seeds. The seed oil of Carum Carvi has been reported to be antioxidant, anti-inflammatory, anti-hyperlipidemic, antidiabetic, and hepatoprotective. Methods: The antidiabetic potential of carveol was investigated by employing in-vitro, in-vivo, and in-silico approaches. Moreover, alpha-amylase inhibitory assay and an alloxan-induced diabetes model were used for in-vitro and in-vivo analysis, respectively. Results: Carveol showed its maximum energy values (≥ -7 Kcal/mol) against sodium-glucose co-transporter, aldose reductase, and sucrose-isomaltase intestinal, whereas it exhibited intermediate energy …
Iov-Based Deployment And Scheduling Of Charging Infrastructure In Intelligent Transportation Systems, Waleed Ejaz, Muhammad Naeem, Shree Krishna Sharma, Asad Masood Khattak, Muhammad Rashid Ramzan, Amjad Ali, Alagan Anpalagan
Iov-Based Deployment And Scheduling Of Charging Infrastructure In Intelligent Transportation Systems, Waleed Ejaz, Muhammad Naeem, Shree Krishna Sharma, Asad Masood Khattak, Muhammad Rashid Ramzan, Amjad Ali, Alagan Anpalagan
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Internet of vehicles (IoV) is an emerging paradigm to exchange and analyze information collected from sensors using wireless technologies between vehicles and people, vehicles and infrastructure, and vehicles-to-vehicles. With the recent increase in the number of electric vehicles (EVs), the seamless integration of IoV in EVs and charging infrastructure can offer environmentally sustainable and budget-friendly transportation. In this paper, we propose an IoV-based framework that consists of deployment and scheduling of a mobile charging infrastructure. For the deployment, we formulate an optimization problem to minimize the total cost of mobile charging infrastructure placement while considering constraints on the number of …
Mobile Learning Features Preferred: An Examination Of Students In The United Arab Emirates, Jason D. Johnson, Cara Williams
Mobile Learning Features Preferred: An Examination Of Students In The United Arab Emirates, Jason D. Johnson, Cara Williams
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The purpose of the current study was to examine the preferred mobile learning features higher education Emirati students use to make sense of mathematics and to determine if these Emirati students valued a mobile device as an essential tool to learn mathematics. Both students and instructors used the Texas Instruments Nspire: Computer Algebra System (CAS) App in a semester mathematics course. The app has such features as enter expressions in proper mathematics notation, import images, dynamically linked notes, share work across platforms (emails, iTunes, Dropbox, etc.), and save documents to mobile device. Participates included sixty-three undergraduate students enrolled in a …
Learning Context-Aware Outfit Recommendation, Ahed Abugabah, Xiaochun Cheng, Jianfeng Wang
Learning Context-Aware Outfit Recommendation, Ahed Abugabah, Xiaochun Cheng, Jianfeng Wang
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© 2020 by the authors. With the rapid development and increasing popularity of online shopping for fashion products, fashion recommendation plays an important role in daily online shopping scenes. Fashion is not only a commodity that is bought and sold but is also a visual language of sign, a nonverbal communication medium that exists between the wearers and viewers in a community. The key to fashion recommendation is to capture the semantics behind customers' fit feedback as well as fashion visual style. Existing methods have been developed with the item similarity demonstrated by user interactions like ratings and purchases. By …
Real-Time Tracking And Mining Of Users’ Actions Over Social Media, Ejub Kajan, Noura Faci, Zakaria Maamar, Mohamed Sellami, Emir Ugljanin, Hamamache Kheddouci, Dragan H. Stojanović, Djamal Benslimane
Real-Time Tracking And Mining Of Users’ Actions Over Social Media, Ejub Kajan, Noura Faci, Zakaria Maamar, Mohamed Sellami, Emir Ugljanin, Hamamache Kheddouci, Dragan H. Stojanović, Djamal Benslimane
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© 2020, ComSIS Consortium. All rights reserved. With the advent of Web 2.0 technologies and social media, companies are actively looking for ways to know and understand what users think and say about their products and services. Indeed, it has become the practice that users go online using social media like Facebook to raise concerns, make comments, and share recommendations. All these actions can be tracked in real-time and then mined using advanced techniques like data analytics and sentiment analysis. This paper discusses such tracking and mining through a system called Social Miner that allows companies to make decisions about …
Ginkgo Biloba Extract Protects Against Methotrexate-Induced Hepatotoxicity: A Computational And Pharmacological Approach, Lina Tariq Al Kury, Fazli Dayyan, Fawad Ali Shah, Zulkifal Malik, Atif Ali Khan Khalil, Abdullah Alattar, Reem Alshaman, Amjad Ali, Zahid Khan
Ginkgo Biloba Extract Protects Against Methotrexate-Induced Hepatotoxicity: A Computational And Pharmacological Approach, Lina Tariq Al Kury, Fazli Dayyan, Fawad Ali Shah, Zulkifal Malik, Atif Ali Khan Khalil, Abdullah Alattar, Reem Alshaman, Amjad Ali, Zahid Khan
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Ginkgo biloba extract possess several promising biological activities; currently, it is clinically employed in the management of several diseases. This research work aimed to extrapolate the antioxidant and anti-inflammatory effects of Ginkgo biloba (Gb) in methotrexate (MTX)-induced liver toxicity model. These effects were analyzed using different in vivo experimental approaches and by bioinformatics analysis. Male SD rats were grouped as follows: saline; MTX; Gb (pretreated for seven days with 60, 120, and 180 mg/kg daily dose before MTX treatment); silymarin (followed by MTX treatment); Gb 180 mg/kg daily only; and silymarin only. Histopathological results revealed that MTX induced marked hepatic …
Post-Treatment Of Synthetic Polyphenolic 1,3,4 Oxadiazole Compound A3, Attenuated Ischemic Stroke-Induced Neuroinflammation And Neurodegeneration, Arooj Mohsin Alvi, Lina Tariq Al Kury, Muhammad Umar Ijaz, Fawad Ali Shah, Muhammad Tariq Khan, Ahmed Sadiq Sheikh, Humaira Nadeem, Arif Ullah Khan, Alam Zeb, Shupeng Li
Post-Treatment Of Synthetic Polyphenolic 1,3,4 Oxadiazole Compound A3, Attenuated Ischemic Stroke-Induced Neuroinflammation And Neurodegeneration, Arooj Mohsin Alvi, Lina Tariq Al Kury, Muhammad Umar Ijaz, Fawad Ali Shah, Muhammad Tariq Khan, Ahmed Sadiq Sheikh, Humaira Nadeem, Arif Ullah Khan, Alam Zeb, Shupeng Li
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Ischemic stroke is categorized by either permanent or transient blood flow obstruction, impeding the distribution of oxygen and essential nutrients to the brain. In this study, we examined the neuroprotective effects of compound A3, a synthetic polyphenolic drug product, against ischemic brain injury by employing an animal model of permanent middle cerebral artery occlusion (p-MCAO). Ischemic stroke induced significant elevation in the levels of reactive oxygen species and, ultimately, provoked inflammatory cascade. Here, we demonstrated that A3 upregulated the endogenous antioxidant enzymes, such as glutathione s-transferase (GST), glutathione (GSH), and reversed the ischemic-stroke-induced nitric oxide (NO) and lipid peroxidation (LPO) …
On Privacy-Aware Escience Workflows, Khalid Belhajjame, Noura Faci, Zakaria Maamar, Vanilson Burégio, Edvan Soares, Mahmoud Barhamgi
On Privacy-Aware Escience Workflows, Khalid Belhajjame, Noura Faci, Zakaria Maamar, Vanilson Burégio, Edvan Soares, Mahmoud Barhamgi
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© 2020, Springer-Verlag GmbH Austria, part of Springer Nature. Computing-intensive experiments in modern sciences have become increasingly data-driven illustrating perfectly the Big-Data era. These experiments are usually specified and enacted in the form of workflows that would need to manage (i.e., read, write, store, and retrieve) highly-sensitive data like persons’ medical records. We assume for this work that the operations that constitute a workflow are 1-to-1 operations, in the sense that for each input data record they produce a single data record. While there is an active research body on how to protect sensitive data by, for instance, anonymizing datasets, …
A New Intra-Cluster Scheduling Scheme For Real-Time Flows In Wireless Sensor Networks, Gohar Ali, Fernando Moreira, Omar Alfandi, Babar Shah, Mohammed Ilyas
A New Intra-Cluster Scheduling Scheme For Real-Time Flows In Wireless Sensor Networks, Gohar Ali, Fernando Moreira, Omar Alfandi, Babar Shah, Mohammed Ilyas
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Real-time flows using time division multiple access (TDMA) scheduling in cluster-based wireless sensor networks try to schedule more flows per time frame to minimize the schedule length to meet the deadline. The problem with the previously used cluster-based scheduling algorithm is that intra-cluster scheduling does not consider that the clusters may have internal or outgoing flows. Thus, intra-cluster scheduling algorithms do not utilize their empty time-slots and thus increase schedule length. In this paper, we propose a new intra-cluster scheduling algorithm by considering that clusters may have having internal or outgoing …
Nf-Κb Inhibitors Attenuate Mcao Induced Neurodegeneration And Oxidative Stress—A Reprofiling Approach, Awais Ali, Fawad Ali Shah, Alam Zeb, Imran Malik, Arooj Mohsin Alvi, Lina Tariq Alkury, Sajid Rashid, Ishtiaq Hussain, Najeeb Ullah, Arif Ullah Khan, Phil Ok Koh, Shupeng Li
Nf-Κb Inhibitors Attenuate Mcao Induced Neurodegeneration And Oxidative Stress—A Reprofiling Approach, Awais Ali, Fawad Ali Shah, Alam Zeb, Imran Malik, Arooj Mohsin Alvi, Lina Tariq Alkury, Sajid Rashid, Ishtiaq Hussain, Najeeb Ullah, Arif Ullah Khan, Phil Ok Koh, Shupeng Li
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© Copyright © 2020 Ali, Shah, Zeb, Malik, Alvi, Alkury, Rashid, Hussain, Ullah, Ullah Khan, Koh and Li. Stroke is the leading cause of morbidity and mortality worldwide. About 87% of stroke cases are ischemic, which disrupt the physiological activity of the brain, thus leading to a series of complex pathophysiological events. Despite decades of research on neuroprotectants to probe for suitable therapies against ischemic stroke, no successful results have been obtained, and new alternative approaches are urgently required in order to combat this pathological torment. To address these problems, drug repositioning/reprofiling is explored extensively. Drug repurposing aims to identify …
Evaluating It Governance Structure Implementation In The Gulf Cooperation Council Region, Mathew Nicho, Suadad Muamaar
Evaluating It Governance Structure Implementation In The Gulf Cooperation Council Region, Mathew Nicho, Suadad Muamaar
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© 2020 IOP Publishing Ltd. All rights reserved. IT governance (ITG) implementations in organizations started to gain momentum during the turn of the twenty first century mainly due to (but not limited to) the need for IT business alignment, better return of investment, effective utilization of IT and for a strategic direction of IT. This initially mandates to establish and implement a set of ITG structures in the organization to initiate, adopt, and implement relevant ITG frameworks to set in the motion of successful ITG implementation. While researchers have stated twelve relevant ITG structures that needs to be set in …
Adaptive Real-Time Routing Protocol For (M,K)-Firm In Industrial Wireless Multimedia Sensor Networks, Beom Su Kim, Sangdae Kim, Kyong Hoon Kim, Tae Eung Sung, Babar Shah, Ki Il Kim
Adaptive Real-Time Routing Protocol For (M,K)-Firm In Industrial Wireless Multimedia Sensor Networks, Beom Su Kim, Sangdae Kim, Kyong Hoon Kim, Tae Eung Sung, Babar Shah, Ki Il Kim
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Many applications are able to obtain enriched information by employing a wireless multimedia sensor network (WMSN) in industrial environments, which consists of nodes that are capable of processing multimedia data. However, as many aspects of WMSNs still need to be refined, this remains a potential research area. An efficient application needs the ability to capture and store the latest information about an object or event, which requires real-time multimedia data to be delivered to the sink timely. Motivated to achieve this goal, we developed a new adaptive QoS routing protocol based …
A Multi-Branch Separable Convolution Neural Network For Pedestrian Attribute Recognition, Imran N. Junejo, Naveed Ahmed
A Multi-Branch Separable Convolution Neural Network For Pedestrian Attribute Recognition, Imran N. Junejo, Naveed Ahmed
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© 2020 The Authors Computer science; Computer Vision; Image processing; Deep learning; Pedestrian attribute recognition
Mitigating The Impact Of Congestion Minimization On Vehicles’ Emissions In A Transportation Road Network, S. Salman, S. Alaswad
Mitigating The Impact Of Congestion Minimization On Vehicles’ Emissions In A Transportation Road Network, S. Salman, S. Alaswad
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Traffic optimization normally improves flow conditions at the expense of increased vehicles’ emissions. This paper proposes a bi-objective optimization approach to address this situation. In contrast to existing literature, this study considers environmental and congestion impacts of Network Design Problems (NDPs) using the Markov chain traffic assignment approach instead of user equilibrium. The NDP model selectively reverses roads’ directions to improve network performance. The model is optimized by simultaneously minimizing maximum traffic density and total vehicles’ emissions cost using non-dominated sorting genetic algorithm. A realistic city example was used to demonstrate the approach’s efficiency. Results showed that a compromise solution …
Lean-Green Manufacturing Practices And Their Link With Sustainability: A Critical Review, Wadhah Abualfaraa, Konstantinos Salonitis, Ahmed Al-Ashaab, Maher Ala'raj
Lean-Green Manufacturing Practices And Their Link With Sustainability: A Critical Review, Wadhah Abualfaraa, Konstantinos Salonitis, Ahmed Al-Ashaab, Maher Ala'raj
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© 2020 by the authors. The current rapidly changing and highly competitive market has put companies under a great pressure towards adopting sustainable practices, in terms of keeping a healthy balance among economic, environmental and social performances. In this context, the lean-green manufacturing approach, which combines lean practices focused on customers' demand, and green practices focused on reducing the business' environmental impact, has gained popularity. Nevertheless, the lean-green manufacturing is still a relatively new practice, lacking a clear and structured research definition, and of significant evidence of successful cases in the practice. In this paper, a literature review is conducted …
A Framework For Online Social Network Volatile Data Analysis: A Case For The Fast Fashion Industry, Anoud Bani-Hani, Feras Al-Obeidat, Elhadj Benkhelifa, Oluwasegun Adedugbe
A Framework For Online Social Network Volatile Data Analysis: A Case For The Fast Fashion Industry, Anoud Bani-Hani, Feras Al-Obeidat, Elhadj Benkhelifa, Oluwasegun Adedugbe
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Consumer satisfaction is an important part for any business as it has been shown to be a major factor for consumer loyalty. Identifying satisfaction in products is also important as it allows businesses alter production plans based on the level of consumer satisfaction for a product. With consumer satisfaction data being very volatile for some products due to a short requirement period for such products, current consumer satisfaction must be identified within a shorter period before the data becomes obsolete. The fast fashion industry, which is part of the fashion industry, is adopted as a case study in this research. …