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5th International Conference on Electronic Design, ICED 2020

作者： Wei Ci, Chew Naziri, Siti Zarina Md Ismail, Rizalafande Che Hussin, Razaidi Isa, Mohd Nazrin Md Basir, Muhammad Sufyan Safwan Mohamad School of Microelectronic Engineering Universiti Malaysia Perlis Perlis Malaysia School of Computing and Informatics Albukhary International University Kedah Malaysia Department of Electrical Engineering Politeknik Mukah Sarawak Malaysia

Camellia cipher is another symmetric block cipher which allows the encryption and decryption process to share the same key. The cipher permits a 128-bits input data with three different key size: 128, 192 and 256 bits. This paper presents two hardware design approach of Camellia cipher, which are FPGA and custom-based design approach. These approaches utilized design softwares of Altera Quartus II with device family of Cyclone II and Synopsys Design Compiler. The performance of Camellia crypto-core design is then been evaluated based on the implementation platform in terms of speed, area and power. With an equal base of 50MHz of clock frequency, custom-based design is found more efficient than FPGA-based design due to the execution time achieved with 8.46ns, which is faster than the latter that consumed double the time with 16.075ns. The custom-based design achieved 15.13 Gbps of throughput. Besides, the power consumption of custom-based design is 1.3519 mW which is lower than the FPGA-based design. In a nutshell, the design has successfully done as it achieved expected encryption and decryption outcomes with acceptable performance. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Field programmable gate arrays (FPGA)

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Modeling multi-factor multi-site risk-based offloading for mobile cloud computing

Modeling multi-factor multi-site risk-based offloading for m...

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International Conference on Network and Service Management

作者： Huijun Wu Dijiang Huang School of Computing Informatics and Decision Systems Engineering Arizona State University

ISBN: (纸本)9781479966905

Offloading decisions for computation-intensive applications in mobile cloud computing may involve many decision factors. Important decision factors such as offloading node reliability and privacy protection have not been well studied. Moreover, existing offloading models mainly focus on the one-to-one offloading relation. To address the multi-factor and multi-site offloading mobile cloud application scenarios, we present a multifactor multi-site risk-based offloading model that abstracts the offloading impact factors as for offloading benefit and offloading risk. The offloading decision is made based on a comprehensive offloading risk evaluation. This presented model is generic and extendible. Four offloading impact factors are presented to show the construction and operation of the presented offloading model, which can be easily extended to incorporate more factors to make offloading decision more comprehensive. The overall offloading benefits and risks are aggregated based on the mobile cloud users' preference. The performance evaluation presents the practicality of the presented solution.

关键词： Reliability Computational modeling MATLAB Mobile communication

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Using Machine Learning Techniques to Predict Block Time Padding and Reduce Flight Delays Ratio

Using Machine Learning Techniques to Predict Block Time Padd...

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International Conference on Information and Communication Systems (ICICS)

作者： Wessam Sweiss Islam AlOmari Raneem Qaddoura School of Computing and Informatics Al Hussein Technical University Amman Jordan

ISBN: (数字)9798331540760

ISBN: (纸本)9798331540777

This study leverages three machine learning models: Random Forest Regression, XGB Regression, and Gradient Boost Regression to optimize block time padding (BTP) for commercial flights using a public dataset from the Bureau of Aviation in the United States. Predictive features, such as flight duration, distance, taxi times, and aircraft-specific details, as well as unpredictable factors like variations in traffic during different times of the day and week, were used in the experiment. The best-performing machine learning model was Random Forest Regression, after achieving a Mean Absolute Error (MAE) of 3.017, a Root Mean Squared Error (RMSE) of 9.879, and an R-squared of 0.954 out of the three regression models.

关键词： Frequency modulation Atmospheric modeling Predictive models Traffic control Robustness Delays Random forests

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Monthly Rainfall Prediction Using the Facebook Prophet Model for Flood Mitigation in Central Jakarta 8

Monthly Rainfall Prediction Using the Facebook Prophet Model...

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8th International Conference on ICT for Smart Society, ICISS 2021

作者： Sulasikin, Andi Nugraha, Yudhistira Kanggrawan, Juan Intan Suherman, Alex L. Jakarta Smart City Department of Communication Informatics Statistics Jakarta Indonesia School of Computing Telkom University Bandung Indonesia Directorate of Research and Community Service Telkom University Bandung Indonesia

ISBN: (纸本)9781665416979

Jakarta has been known as the city where floods are prevalent. As the vital region in Jakarta where the center of government and business are located, Central Jakarta is inseparable from the flood when the rainfall is remarkably high. Therefore, the Jakarta Provincial Government need a data-driven policy to facing potential flood that may occur each year to protect the citizen from the threat of flood disaster. Monthly rainfall prediction can be a reference to determine the possibility of considerable loss and damage due to disaster threats. However, at this moment, it is still challenging to find a fitting forecasting model for this context. This paper reports a comparison of three different time series models: Seasonal Autoregressive Integrated Moving Average (SARIMA), Facebook Prophet, and Long Short-Term Memory (LSTM) to forecast monthly rainfall in Central Jakarta for up to two consecutive years. The result indicates that Facebook Prophet, with the lowest Mean Squared Error (MSE) and Root Mean Squared Error (RMSE), is the fittest model to predict the monthly rainfall in Central Jakarta. It shows that a high amount of rainfall will be seen in January and February 2021, which suggests we need to be prepared to anticipate the potential flood. Facebook Prophet shows promising results in supporting data-driven policy for flood mitigation in Jakarta. The development of this model in the future can be used as a baseline study to formulate a data-driven policy for flood mitigation in Jakarta. © 2021 IEEE.

关键词： Floods

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Influence propagation in adversarial setting: How to defeat competition with least amount of investment 12

Influence propagation in adversarial setting: How to defeat ...

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21st ACM International Conference on Information and Knowledge Management, CIKM 2012

作者： Shirazipourazad, Shahrzad Bogard, Brian Vachhani, Harsh Sen, Arunabha Horn, Paul School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ 85287 United States Department of Mathematics Harvard University Cambridge MA 09322 United States

ISBN: (纸本)9781450311564

It has been observed that individuals' decisions to adopt a product or innovation are often influenced by the recommendations of their friends and acquaintances. Motivated by this observation, the last few years have seen a number of studies on influence maximization in social networks. The primary goal of these studies is identification of k most influential nodes in a network. A major limitation of these studies is that they focus on a non-adversarial environment, where only one player is engaged in influencing the nodes. However, in a realistic scenario multiple players attempt to influence the nodes in a competitive fashion. The proposed model considers a competitive environment where a node that has not yet adopted an innovation, can adopt only one of the several competing innovations and once it adopts an innovation, it does not switch. The paper studies the scenario where the first player has already chosen a set of k nodes and the second player, with the knowledge of the choice of the first, attempts to identify a smallest set of nodes (excluding the ones already chosen by the first) so that when the influence propagation process ends, the number of nodes influenced by the second player is larger than the number of nodes influenced by the first. The paper studies two propagation models and shows that in both the models, the identification of the smallest set of nodes to defeat the adversary is NP-Hard. It provides an approximation algorithm and proves that the performance bound is tight. It also presents the results of extensive experimentation using the collaboration network data. Experimental results show that the second player can easily defeat the first with this algorithm, if the first utilizes the node degree or closeness centrality based algorithms for the selection of influential nodes. The proposed algorithm also provides better performance if the second player utilizes it instead of the greedy algorithm to maximize its influence. © 2012 ACM.

关键词： Approximation algorithms

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Interactive information extraction based on distributed data management for German grid projects 2

Interactive information extraction based on distributed data...

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2012 EGI Community Forum / EMI 2nd Technical Conference, EGICF-EMITC 2012

作者： Kel, Ren J. Metzger, Steffen Daivandy, Jason Milad Hose, Katja Nich, Denis H. Schenkel, Ralf Schuller, Bernd Center for Information Services and High Performance Computing Technische Universität Dresden Germany Max-Planck-Institute for Informatics Germany Juelich Supercomputing Centre Germany Saarland University Germany

The current infrastructure proviced and maintained by the German Grid Initiative (D-Grid) primarily covers resource management and exchange at the data level supporting mainly technical resources such as computational capacity, data transport networks, storage resources, and management software. The WisNetGrid project (***) aims to broaden the focus of resource sharing towards the actual content, such as research and production data, to enable interdisciplinary usage. To achieve this goal, resource sharing is supported on different abstraction layers. First, we create an information layer by providing a universal interface to access data on the grid independent of the underlying grid storage system. Second, at the knowledge layer, we offer interactive knowledge extraction and management tools that can also take advantage of a community’s grid resources. These tools enable the user to formulate the domain specific knowledge in different ways to ease the interaction with the knowledge extraction process and to provide input for automatic extraction workflow. Within this project, we work together with use groups from the humanities and from landscaping as disparate use cases to evaluate which advantages can be gained by using semi-automatic extraction tools to gather and manage knowledge content. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike Licence.

关键词： Digital storage

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Wireless sensor network data description and encoding in heterogeneous building systems

Wireless sensor network data description and encoding in het...

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International Conference on Distributed computing in Sensor Systems (DCOSS)

作者： Chris Conway Matthew Barnes Centre of Speckled Computing School of Informatics University of Edinburgh Edinburgh UK

This paper presents initial results and future directions for data description and payload encodings for heterogeneous networks in IP based building intelligence systems. The efficiency of several open standards for sensor data representation are evaluated along with a consideration of the complexity of implementation and suitability for use in development of 6lowPAN based intelligent building systems. A combination of a simplified generic XML schema for data description combined with Google Protobuffer encoding is suggested as the basis for further development of the architecture as this combines simple, platform independent implementation for developers with efficient compression and payload encoding for limited bandwidth 6lowPAN networks.

关键词： Encoding XML Payloads Protocols Buildings Wireless sensor networks Architecture

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Asu At Textgraphs 2019 Shared Task: Explanation Regeneration Using Language Models and Iterative Re-Ranking

arXiv

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arXiv 2019年

作者： Banerjee, Pratyay School of Computing Informatics and Decision Systems Engineering Arizona State University

In this work we describe the system from Natural Language Processing group at Arizona State University for the TextGraphs 2019 Shared Task. The task focuses on Explanation Regeneration, an intermediate step towards general multi-hop inference on large graphs. Our approach consists of modeling the explanation regeneration task as a learning to rank problem, for which we use state-of-the-art language models and explore dataset preparation techniques. We utilize an iterative re-ranking based approach to further improve the rankings. Our system secured 2nd rank in the task with a mean average precision (MAP) of 41.3% on the test set. Copyright © 2019, The Authors. All rights reserved.

关键词： Natural language processing systems

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Evaluating Smartphone Addiction Disorder among University Students

Evaluating Smartphone Addiction Disorder among University St...

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International Conference on Information Technology and Multimedia (ICIM)

作者： Suthashini Subramaniam Jaspaljeet Singh Dhillon Alan Cheah Kah Hoe Mohana Shanmugam Saraswathy Shamini Gunasekaran College of Computing and Informatics Universiti Tenaga Nasional Kajang Selangor Malaysia

ISBN: (数字)9781728173108

ISBN: (纸本)9781728173115

Smartphones have become essentials in our life in this era, especially in the life of university students. It has become a one-stop-centre for many things. Students set schedules and meetings on their phone, set up online meetings via skype, make conference video calls to communicate with their friends and family, review their course notes on the phone as well as participate in online classes with a smartphone. The usage of smartphones has become endless. Together with that, addiction towards smartphones has become inevitable. Smartphone addiction has caused many issues, such as emotional distress, neck pain and sleep disorder. In this paper, we report the results of a quantitative study that was conducted to evaluate smartphone addiction disorder among 135 university students. A survey consisting of the 26 items of Smartphone Addiction Inventory (SPAI) was administered to determine the impact of smartphone usage on university students and to study the factors related to the addiction. Exploratory Factor Analysis (EFA) was carried out to study the underlying connection within the 26 items and the students. Results indicate that smartphone addiction among the university students is in the average, as the total SPAI score for 73 participants focuses in the middle range. The EFA outcome suggested a two-factor solution: Dependency and Well-beingness. The results of our study indicate that students' wellbeing is getting affected by the usage of smartphones.

关键词： Schedules Pain Neck Information technology Smart phones

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Using a conversational framework in mobile game based learning - Assessment and evaluation

Using a conversational framework in mobile game based learni...

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作者： Fotouhi-Ghazvini, Faranak Earnshaw, Rae Robison, David Moeini, Ali Excell, Peter School of Informatics Computing and Media University of Bradford United Kingdom Dept. of Software Engineering University of Qom Iran University of Tehran Informatics Center 286 Keshavarz Blvd. Tehran Iran Centre for Applied Internet Research Glyndŵr University Wrexham United Kingdom

ISBN: (纸本)9783642223822

Mobile language learning games usually only focus on spelling or out of context meaning for the entire dictionary, ignoring the role of an authentic environment. 'Detective Alavi' is an educational mobile game that provides a shared space for students to work collaboratively towards language learning in a narrative rich environment. This game motivates and preserves a conversation between learners and their teachers, and also between learners and learners, whilst being immersed in the story of the game. A seamless self-assessment scoring system in the game structure provides a less dominating environment for students to expose their weaknesses, and at the same time assists students to judge what skills they have learned and how much. This game has produced improvement in different cognitive processes and a deeper level of learning during the collaborative game play. © 2011 Springer-Verlag.

关键词： Students

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