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Web Interactive Animation and Information for Electrodialysis to Desalinate Water

Web Interactive Animation and Information for Electrodialysi...

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2020 Annual Conference Northeast Section, ASEE-NE 2020

作者： Lehoe, James A. Whitlow, Joseph T. Alborz, Nakisa Dow, Douglas E. Program in Computer Eng. Wentworth Institute of Technology BostonMA United States Dept. of Iterdisciplinary Eng. Wentworth Institute of Technology BostonMA United States Dept. of Electrical and Computer Engineering Wentworth Institute of Technology BostonMA United States

ISBN: (纸本)9781665405256

Access to safe drinking water has progressively declined. Methods of purifying saltwater include reverse osmosis and distillation, but require cost and energy that may not be accessible to many. Another method for desalination is electrodialysis that imposes a voltage field to induce net movement of chlorine and sodium ions through two semipermeable membranes, resulting in water having a lower salt concentration. Electrodialysis has lower financial cost and energy requirements, showing promise as a potential method that may be more accessible in developing regions. To encourage education and exploration of this method for desalination, this project is developing an educational web-based informational site and interactive graphical program. Users can interact and visualize net movement of charged ions within voltage fields, and in the presence of semipermeable membranes. As these educational webbased tools would be available globally to anyone with a web assessible device, many people may be able to access and become knowledgeable about and interested in the potential of electrodialysis. © 2020 IEEE.

关键词： Desalination

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A new algorithm approach to the general Lovász local lemma with applications to scheduling and satisfiability problems (extended abstract) 00

A new algorithm approach to the general Lovász local lemma ...

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32nd Annual ACM Symposium on Theory of Computing, STOC 2000

作者： Czumaj, Artur Scheideler, Christian Dept. of Computer and Information Science New Jersey Institute of Technology Newark NJ 07102-1982 United States Dept. of Mathematics and Computer Science Heinz Nixdorf Institute Paderborn University 33095 Paderborn Germany

ISBN: (纸本)1581131844

The Lovász Local Lemma (LLL) is a powerful tool that is increasingly playing a valuable role in computer science. It has led to solutions for numerous problems in many different areas, reaching from problems in pure combinatorics to problems in routing, scheduling and approximation theory. However, since the original lemma is non-constructive, many of these solutions were first purely existential. A breakthrough result by Beck and its generalizations have led to polynomial time algorithms for many of these problems. However, these methods can only be applied to a simple, symmetric form of the LLL. In this paper we provide a novel approach to design polynomial-time algorithms for problems that require the LLL in its general form. We apply our techniques to find good approximate solutions to a large class of NP-hard problems called minimax integer programs (MIPs). Our method finds approximate solutions that are - especially for problems of non-uniform character - significantly better than all methods presented before. To demonstrate the applicability of our approach, we apply it to transform important results in the area of job shop scheduling that have so far been only existential (due to the fact that the general LLL was used) into algorithms that find the predicted solutions (with only a small loss) in polynomial time. Furthermore, we demonstrate how our results can be used to solve satisfiability problems. © 2000 ACM.

关键词： Job shop scheduling

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Engineering oracles for time-dependent road networks∗ 18

Engineering oracles for time-dependent road networks∗

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18th Workshop on Algorithm Engineering and Experiments 2016, ALENEX 2016

作者： Kontogiannis, Spyros Michalopoulos, George Papastavrou, Eorgia Paraskevopoulos, Andreas Wagner, Dorothea Zaroliagis, Christos Computer Science H Engineering Dept. University of Ioannina Ioannina45110 Greece Computer Engineering and Informatics Dept. University of Patras Rio26500 Greece Computer Technology Institute and Press Diophantus Rio26504 Greece Am Fasanengarten 5 Karlsruhe76131 Germany

ISBN: (纸本)9781510819689

We implement and experimentally evaluate landmark- based oracles for min-cost paths in two different types of road networks with time-dependent arc-cost functions, based on distinct real-world historic traffic data: The road network for the metropolitan area of Berlin, and the national road network of Germany. Our first contribution is a significant improvement on the implementation of the FLAT oracle, which was proposed and experimentally tested in previous works. Regarding the implementation, we exploit parallelism to reduce preprocessing time and real-time responsiveness to live-traffic reports. We also adopt a lossless compression scheme that severely reduces preprocessing space and time requirements. As for the experimentation, apart from employing the new data set of Germany, we also construct several refinements and hybrids of the most prominent landmark sets for the city of Berlin. A significant improvement to the speedup of FLAT is observed: For Berlin, the average query time can now be as small as 83/isec, achieving a speedup (against the time- dependent variant of Dijkstra's algorithm) of more than 1,119 in absolute running times and more than 1,570 in Dijkstra-ranks, with worst-case observed stretch less than 0.781%. For Germany, our experimental findings are analogous: The average query-response time can be 1.269msec, achieving a speedup of more than 902 in absolute running times, and 1,531 in Dijkstra-ranks, with worst-case stretch less than 1.534%. Our second contribution is the implementation and.

关键词： Cost functions

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IoT-Enabled Remote-Controlled Raft for Enhanced Water Quality Assessment 20

IoT-Enabled Remote-Controlled Raft for Enhanced Water Qualit...

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20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024

作者： Surasak, Thattapon Kitchat, Kotcharat Jiteurtragool, Nattagit King Mongkut's University Of Technology North Bangkok Faculty Of Applied Science Dept. Of Computer And Information Science Bangkok Thailand National Central University Dept. Of Computer Science And Information Engineering Taoyuan Taiwan

ISBN: (纸本)9798350382310

Water is vital for all life, serving as the foundation for plants and aquatic creatures and promoting abundance among all living beings. This study introduces an innovative approach by combining the Internet of Things (IoT) with advanced sensing techniques to assess water quality. The IoT-powered water quality testing raft has been developed to significantly enhance the monitoring capabilities. Equipped with sensors measuring key parameters such as turbidity, pH, and temperature, the raft provides a comprehensive understanding of water quality. Its GPS module enables real-time tracking and maintains location history, ensuring precise sampling. The collected data undergoes robust processing by a Raspberry Pi, ensuring integrity before being showcased on the Thingsboard. The system's uniqueness lies in its capacity to promptly issue alerts via LINE Notify upon detecting water quality abnormalities, ensuring timely intervention. This IoT-powered raft represents a paradigm shift in water quality assessment, characterised by its precision, remote capabilities, and user-focused approach. Practical applications have been demonstrated through real-world testing in a private lake in Cha-choengsao province, Thailand. The seamless integration of IoT into environmental monitoring marks a significant advancement in ensuring water quality and ecosystem health. © 2024 IEEE.

关键词： Internet of things

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A scalable high-throughput pipeline architecture for DNA sequence alignment 35

A scalable high-throughput pipeline architecture for DNA seq...

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35th IEEE Region 10 Conference, TENCON 2015

作者： Ghosh, Surajeet Mandal, Sriparna Saha Ray, Sanchita Dept. of Computer Science and Technology Indian Institute of Engineering Science and Technology Shibpur Howrah India Dept. of Information Technology St. Thomas' College of Engineering and Technology Khidderpore Kolkata India

ISBN: (纸本)9781479986415

A novel scalable architecture for DNA sequence alignment has been presented in this paper. A pipelined architecture with a dedicated backtrack processor have been designed for fast and sophisticated DNA sequence alignment. Additionally, instead of using CAM which consumes huge power, this architecture efficiently uses RAM to boost the speed of DNA sequence alignment in real time. This architecture incorporates a pipeline structure for matrix fill operation to achieve temporal parallelism in preparing substitution matrix for a number of sequences and a backtrack processor to obtain aligned sequences. Besides, this paper presents a comparative analysis on the processing time of this architecture using three numerous cases based on temporal and special parallelism, namely, dedicated, moderately-dedicated and shared logic components. The complete architecture has been simulated for 1000 database sequences considering both 16 and 32 nucleotides as DNA sequence size. © 2015 IEEE.

关键词： Pipelines

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Spice Vision: Deep Learning Enhanced Spice Classification System 3

Spice Vision: Deep Learning Enhanced Spice Classification Sy...

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3rd IEEE North Karnataka Subsection Flagship International Conference, NKCon 2024

作者： Pujari, Laxmi Belavatgi, Meenaz Sajjan, Mahantesh M. Kamatar, Vishwanath Surasura, Pradeep Ammanagi, Nausheen K.L.E. Institute of Technology Dept. of Master of Computer Applications Hubballi580027 India K.L.E Institute of Technolog Dept. of Computer Science and Engineering Hubballi580027 India

ISBN: (纸本)9798350364569

Spices are admired for their distinctive flavors, fragrances, and health advantages. They are an essential part of industrial uses, medical procedures, and culinary customs. The automatic classification of 15 different varieties of Indian spices which are essential to both Indian food and traditional medicine is the main subject of this study. To guarantee quality and consistency, these spices underwent a thorough data preparation procedure after being painstakingly gathered. Then, Convolutional Neural Network (CNN) models were trained and tested using the preprocessed dataset. As a family of deep learning algorithms, CNNs are particularly good at classifying images because they extract hierarchical characteristics directly from the input. The study highlights the possibility for automated systems to precisely detect and classify distinct spices based on their visual properties and investigates the efficacy of various CNN architectures for spice classification. Gathering and preprocessing photos of the spices was part of the model creation procedure. Based on how well these models classified the test images, their performance was assessed. The accompanying picture illustrates the findings, which demonstrate the different degrees of accuracy attained by each model. © 2024 IEEE.

关键词： Convolutional neural networks

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A method for real-time safe navigation in noisy environments

A method for real-time safe navigation in noisy environments

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2013 18th International Conference on Methods and Models in Automation and Robotics, MMAR 2013

作者： Neyshabouri, Seyed Ali Salehi Kamali, Ehsan Niknezhad, Mohammad Reza Monfared, Seyed Sadegh Mohseni Salehi Dept. of Electrical Engineering Sharif University of Technology Tehran Iran Dept. of Electrical Engineering Shahed University Tehran Iran Dept. of Computer Engineering Iran University of Science and Technology Tehran Iran

ISBN: (纸本)9781467355063

The challenge of finding an optimized and reliable path dates back to emersion of mobile robots. Several approaches have been developed that have partially answered this need. Satisfying results in previous implementations has led to an increased utilization of sampling-based motion planning algorithms in recent years, especially in high degrees of freedom (DOF), fast evolving environments. Another advantage of these algorithms is their probabilistic completeness that guarantees delivery of a path in sufficient time, if one exists. On the other hand, sampling based motion planners leave no comment on safety of the planned path. This paper suggests biasing the Rapidly-exploring Random Trees (RRTs), with the outcome of a safety evaluation, which affects the probability of choosing a random point in the sampling phase of the RRT algorithm, to increase the chance of safer outcomes. By parallelizing this algorithm and multifold execution of it on the graphics Processing Unit (GPU) with various probabilities for moving to a safer state, a near-optimal solution is obtained. © 2013 West Pomeranian University of technology.

关键词： Motion planning

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Dynamic power management system considering resource characteristics of mobile devices

Dynamic power management system considering resource charact...

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2008 International Conference on Embedded Systems and Applications, ESA 2008

作者： Kim, Kwang-Jung Park, Chang-Hyeon Lee, Myung-Sub Lee, Dong-Ha Dept. Of Computer Engineering Yeungnam Univ. Gyeongsan Gyeongbuk Korea Republic of Div. Of Computer Technology Yeungnam College of Science and Technology Daegu Korea Republic of Dept. Of SW Research Team Daegu Gyeongbuk Institute of Science and Technology Daegu Korea Republic of

ISBN: (纸本)1601320655

Recently, with the increasing use of various kind of portable devices, such as notebook computers, PDAs(Personal Data Assistants), PMPs(Portable Media Players) and etc., a power consumption problem -how long such devices can run with their rechargeable battery- is one of the key issues in the portable device industry. Much research has resulted in new chip technologies for low-power consumption and, because of this, the battery life of portable devices today is longer than ever before. On the one hand, research into low-power chips is producing some effective results, but on the other hand, research through the software approach have not brought about significant results, except possibly for techniques, such as hibernation and turning off LCDs. In this paper, we propose a dynamic power management system that considers process status, battery characteristics and application program types together, to raise the effectiveness of power management. The experimental results, using the proposed system, show that an 11% decrease in power consumption can be obtained.

关键词： Electric power utilization

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Eternal embedded software: Towards innovation experiment systems

Eternal embedded software: Towards innovation experiment sys...

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5th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation: Technologies for Mastering Change, ISoLA 2012

作者： Bosch, Jan Eklund, Ulrik Software Engineering Division Dept. Computer Science and Engineering Chalmers University of Technology Göteborg Sweden

ISBN: (纸本)9783642340253

The paper discusses the concept of innovation experiment systems in the context of long-lived embedded systems. These systems need to evolve continuously to stay competitive and provide value to the customer and end-user, especially in domains where the pace of change is increasing. Innovation experiment systems provide a natural mechanism that allows an embedded system, its architecture and underlying platform to continuously evolve in response to changes in the user requirements and system context. It uses a rapid feedback loop to evaluate the benefits of small variations to users with the intent of continuous improvements. The paper explores the architectural implications as the ability to continuously evolve and conduct experiences in the deployed product context in a safe and controlled manner must be supported by the architecture of the embedded systems. Finally, the paper illustrates these concepts using a case study concerning an infotainment system in the automotive industry. © 2012 Springer-Verlag.

关键词： Embedded systems

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Network resource allocation for perceptually based unequal packet protection in voice communication

Network resource allocation for perceptually based unequal p...

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31st IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Proestholm, Steffen Jensen, Soren Skak Anderson, Soren Vang Murthi, Manohar N. Mobile Phones Development BenQ Denmark ApS Denmark Dept. of Communication Technology Aalborg University Denmark Dept. of Electrical and Computer Engineering University of Miami United States

ISBN: (纸本)9781424404681

We address the problem of optimizing resource allocation for Perceptually based Unequal Packet Protection (PUPP) in a packet based voice carrying network. For that purpose, we design a novel realtime working Perceptually Based Classifier (PBC) optimizing the assignment of voice packets to either a Premium (Pch) or an Ordinary (Och) transmission Channel with regard to packet perceptual importance. In particular, our PBC is based on Sliding Window optimization (SWO) and implement PESQa, an improved method to real-time estimation of speech quality. Based on this PBC and a Differentiated Service (DS) implementation of the Pch/Och, objective results indicate that 70% premium packet assignments optimizes performance over a broad range of loss scenarios on a bottleneck link. Additionally, packet loss statistics gives a clear indication on criteria for optimizing PUPP Pch/Och.

关键词： Packet networks

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