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TET: An automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency

JOURNAL OF CLEANER PRODUCTION 2020年 266卷 122051-122051页

作者： Rahmati, Omid Ghasemieh, Hoda Samadi, Mahmood Kalantari, Zahra Tiefenbacher, John P. Nalivan, Omid Asadi Cerda, Artemi Ghiasi, Seid Saeid Darabi, Hamid Haghighi, Ali Torabi Dieu Tien Bui Ton Duc Thang Univ Geog Informat Sci Res Grp Ho Chi Minh City Vietnam Ton Duc Thang Univ Fac Environm & Labour Safety Ho Chi Minh City Vietnam Univ Kashan Fac Nat Resources & Earth Sci Dept Range & Watershed Management Esfahan Iran Univ Tehran Fac Nat Resources Karaj Iran Stockholm Univ Dept Phys Geog SE-10691 Stockholm Sweden Stockholm Univ Bolin Ctr Climate Res SE-10691 Stockholm Sweden Texas State Univ Dept Geog San Marcos TX 78666 USA Gorgan Univ Agr Sci & Nat Resources Dept Watershed Management Gorgan Golestan Iran Univ Valencia Dept Geog Soil Eros & Degradat Res Grp Blasco Ibanez 28 Valencia 46010 Spain Univ Oulu Water Energy & Environm Engn Res Unit Oulu Finland Duy Tan Univ Inst Res & Dev Da Nang 550000 Vietnam

Sediment control is important for supplying clean water. Although check dams control sediment yield, site selection for check dams based on the sediment trapping efficiency (TE) is often complex and time-consuming. Currently, a multi-step trial-and-error process is used to find the optimal sediment TE for check dam construction, which limits this approach in practice. To cope with this challenge, we developed a user-friendly, cost- and time-efficient geographic information system (GIS)-based tool, the trap efficiency tool (TET), in the python programming language. We applied the tool to two watersheds, the Hableh-Rud and the Poldokhtar, in Iran. To identify suitable sites for check dams, four scenarios (S1: TE >= 60%, S2: TE >= 70%, S3: TE >= 80%, S4: TE >= 90%) were tested. TET identified 189, 117, 96, and 77 suitable sites for building check dams in S1, S2, S3, and S4, respectively, in the Hableh-Rud watershed, and 346, 204, 156, and 60 sites in S1, S2, S3, and S4, respectively, in the Poldokhtar watershed. Evaluation of 136 existing check dams in the Hableh-Rud watershed indicated that only 10% and 5% were well-located and these were in the TE classes of 80-90% and >= 90%, respectively. In the Poldokhtar watershed, only 11% and 8% of the 207 existing check dams fell into TE classes 80-90% and >= 90%, respectively. Thus, the conventional approach for locating suitable sites at which check dams should be constructed is not effective at reaching suitable sediment control efficiency. Importantly, TET provides valuable insights for site selection of check dams and can help decision makers avoid monetary losses incurred by inefficient check-dam performance. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Sediment Trap efficiency Water quality Watershed management python language GIS

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ROBO - Autonomous Football Robot

ROBO - Autonomous Football Robot

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International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)

作者： Alalouni, Ahmed Alghamdi, Ayad Zikria, Mohamed Alzubaidi, Loay Saudi Aramco Oil Co EXPEC Adv Res Ctr Dhahran Saudi Arabia Saudi Aramco Total Refining & Petrochem Co SATORP Dept Informat Commun Technol Jubail Ind City Saudi Arabia Prince Muhammad bin Fahd Univ Dept Comp Engn & Sci Khobar Saudi Arabia

ISBN: (纸本)9781728137780

The autonomous football robot (ROBO) was designed to enhance the knowledge in the field of robotics and computer vision through the robot development. The goal was to learn the use of robotic kits, the Raspberry Pi micro-controller to control the robot motion, the Raspbian operating system (Linux based OS), the python programming language and the computer vision library (OpenCV). The robot design consists of hardware and software designs. For the robot hardware design and implementation, the robotic kit were built, tested, and attached to a 3D custom printing gripper and kicker along with the 180 degrees rotational Raspberry Pi camera by servo motor. Lastly, a small breadboard was attached to set up the pulse, voltage, and the ground for the servo motors. For the robot software design, there are two algorithms or modes in the program, ball mode and goal mode. The ball mode start with ball detection and end with the ball grab. The goal mode start with the goal search and end with kick the ball into the goal. A 150 experiments done for three different configuration of the robot. Each configuration consists of 50 experiments. The results were 2% task error for the first configuration, 10% for the second, and 22% for the third. The task errors were because of the mechanical failure of the kicker. The kicker was unable to reach the ball into the goal from far distance. A future work can be a better kicker with more power.

关键词： mobile robotics computer vision object recognition OpenCV library python language

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A Distributed Approach for Mining Moroccan Hashtags using Twitter Platform 19

A Distributed Approach for Mining Moroccan Hashtags using Tw...

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2nd International Conference on Networking, Information Systems and Security (NISS)

作者： El Abdouli, Abdeljalil Hassouni, Larbi Anoun, Houda Hassan II Univ Casablanca Ecole Super Technol CED Engn Sci RITM Lab Casablanca Morocco

ISBN: (纸本)9781450366458

Twitter is a social networking service, on which users can share thoughts and interact with events. In this paper, the authors propose a distributed approach to combine the multilingualism analysis of hashtags generated by Moroccan users in the social network Twitter, to discover and understand the hot subjects that attract the community. The analysis of Moroccan twitter hashtags is a challenge for two main reasons. Firstly, since the Moroccan society is characterized by linguistic diversity, hashtags are expressed in several languages. Secondly, the hashtags of Moroccan users may include spelling errors and abbreviations and do not contain delimiters between words, which leads to misinterpretation. In this paper, we propose a distributed approach using Apache Hadoop Framework and Natural language Processing Techniques for processing and mining Moroccan hashtags by a program we developed using open source libraries. The result is a clean corpus, which is stored in Apache Hive to allow applying analytic queries. Finally, we apply K-means algorithm to cluster all hashtags into general topics, and then plot them on the Moroccan map to specify their sources of publication by using the coordinates extracted from the tweets.

关键词： Twitter Multilingualism Analysis Hashtags Distributed Approach Apache Hadoop Framework Natural language Processing python language Apache Hive k-means Algorithm General Topics Moroccan Map

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Pythran: Crossing the python Frontier

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COMPUTING IN SCIENCE & ENGINEERING 2018年第2期20卷 83-89页

作者： Guelton, Serge Inst Mines Telecom Bretagne Plouzane France

Use of the python language in scientific computing has always been characterized by the coexistence of interpreted python code and compiled native code, written in languages like C or Fortran. This column takes a fresh look at the problem and introduces Pythran, a new optimization tool designed to efficiently handle unmodified python code.

关键词： FORTRAN Object Oriented Programming Program Compilers Program Interpreters Pythran Unmodified python Code python language Scientific Computing Interpreted python Code Compiled Native Code Optimization C languages Programming Scientific Computing Program Processors Scientific Programming Scientific Computing Pythran python Coding

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ANDES: A python-Based Cyber-Physical Power System Simulation Tool

ANDES: A Python-Based Cyber-Physical Power System Simulation...

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North American Power Symposium (NAPS)

作者： Cui, Hantao Li, Fangxing Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA

ISBN: (纸本)9781538671382

This paper introduces the design and implementation of a python-based software package for cyber-physical power system research called Andes. Andes is developed in an attempt to bridge the gap between the traditional power system analysis and the fast-growing needs for cybersecurity studies. First, the architecture design is proposed to accommodate for power grid prototyping, communication network set up, and the interactions between the two. Design considerations are discussed from the research and development perspective. Examples are shown using Andes for modeling, monitoring, and visualization of cyber-physical power system studies.

关键词： Cyber-physical system computer simulation python language software-defined network (SDN)

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Issues in the Software Implementation of Stochastic Numerical Runge-Kutta 21st

Issues in the Software Implementation of Stochastic Numerica...

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21st International Conference on Distributed and Computer and Communication Networks (DCCN)

作者： Gevorkyan, Migran N. Demidova, Anastasiya V. Korolkova, Anna V. Kulyabov, Dmitry S. RUDN Univ Peoples Friendship Univ Russia Dept Appl Probabil & Informat 6 Miklukho Maklaya Str Moscow 117198 Russia Joint Inst Nucl Res Lab Informat Technol 6 Joliot Curie Dubna 141980 Moscow Region Russia

ISBN: (纸本)9783319994475;9783319994468

This paper discusses the application of stochastic Runge-Kutta-like numerical methods with weak and strong convergences for systems of stochastic differential equations in Ito form. At the beginning a brief overview of available publications about stochastic numerical methods and information from the theory of stochastic differential equations are given. Then the difficulties that arise when trying to implement stochastic numerical methods and motivate to use source code generation are described. We discuss some implementation details, such as program languages (python, Julia) and libraries (Jinja2, Numpy). Also the link to the repository with source code is provided in the article.

关键词： Stochastic differential equations Stochastic numerical methods Automatic code generation python language Julia language Template engine

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Optimized Super Fast Support Vector Classifiers using python and Acceleration of RBF Computations 12

Optimized Super Fast Support Vector Classifiers using Python...

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12th IEEE International Conference on Communications (COMM)

作者： Dogaru, Radu Dogaru, Ioana Univ Politehn Bucuresti Nat Comp Lab Appl Elect & Informat Engn Dept Bucharest Romania

ISBN: (纸本)9781538623503

An optimized implementation for a parameter-less radial-basis neural paradigm called super fast vector support classifier (SFSVC) is presented. Training resides only in a process of selecting centers and consequently it is a very fast process, linear in the number of hidden neurons. Several improvements make the resulting implementation a highly effective, high speed, machine learning engine convenient for various applications on a large variety of platforms. It is shown that among various programming environments, python with optimized math library support represents the best choice for its implementation. An important (up to 40 times) speed-up for the testing time is achieved by implementing the distance calculations as matrix multiplications, thus accelerating RBF computations on platforms with optimized math and linear algebra libraries such as Intel's MKL. Another important aspect of SFSVC, making it suitable for various embedded platforms (e.g. microcontrollers, FPGA, etc.) is the lack of any tunable parameter except a unique radius, leading to a very convenient structure. The overall test plus training speed is better than for support vector machines while SFSVC has the important advantage of accepting arbitrary RBF kernels.

关键词： neural networks python language radial basis functions classification problems

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A Web-Based Quantum Computer Simulator with Symbolic Extensions 1

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Conference on Applications of Computer Algebra (ACA)

作者： Karamitrou, O. G. Tsimpouris, C. Mavridi, P. Sgarbas, K. N. Univ Patras Patras Greece

ISBN: (数字)9783319569321

ISBN: (纸本)9783319569321;9783319569307

This paper presents a quantum computer simulator with a web interface, based on the circuit model of quantum computation. This is the standard model for which most quantum algorithms have been developed. According to this model, quantum algorithms are expressed as circuits of quantum registers (series of qubits) and quantum gates operating on them. The paper also proposes another version of the existing simulator using symbolic computation in python programming language, in order to perform quantum calculations.

关键词： Quantum computation Simulator Circuit model Quantum gates python language

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GIS and remote sensing techniques for the assessment of the impact of land use change on runoff

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ARABIAN JOURNAL OF GEOSCIENCES 2016年第7期9卷 1-12页

作者： Koylu, Umran Geymen, Abdurrahman Erciyes Univ Dept Geomat Engn TR-38039 Kayseri Turkey

Soil Conservation Service (SCS) curve number (CN) is used to calculate the potential runoff value in ungauged catchment basins. The CN method was applied to calculate the runoff in the catchment basin of the Yamula Dam which is located on the Kizilirmak River in the semi-arid climate of the Central Anatolia Region of Turkey. The analysis of the relation between the land use change and the change of the curve number (change of the runoff values) in the catchment basin can be calculated through geographic information system (GIS) techniques by using the data obtained from satellite images. Using GIS analysis with python language, SCS-CN technique was applied to study area efficiently. The estimated CN values indicate an uptrend in proportion to the increase in the water level and agricultural lands in the catchment basin. This change is relevant to the land use/land cover (LULC) and the land inclination and in connection with the morphological structure of the soil.

关键词： Curve number Remote sensing Geographic information system Runoff python language

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Attendance Recording and Consolidation System using Arduino and Raspberry Pi

Attendance Recording and Consolidation System using Arduino ...

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International Conference on Signal Processing, Communication, Power and Embedded System

作者： Dhiraj Sunehra V. Surender Goud Department of Electronics & Communication Engineering JNTUH College of Engineering

ISBN: (纸本)9781509046218

In many schools and colleges, teachers record the students' attendance in an attendance register manually. Later this data is entered in to a computer and the aggregate percentage of students' attendance is calculated. This method results in duplication of work and increases manpower requirements. In this paper, an attendance recording and consolidation system (ARCS) is implemented using Arduino and Raspberry Pi microcontroller boards. Arduino is used to implement the attendance recording device (ARD), whereas Raspberry Pi is used as a Web server. ZigBee technology is used for transmitting the attendance from the ARD to the server. A web page is created by using PHP language to display the aggregate percentage of attendance of each student corresponding to various classes in the institution. The advantages of this method are user friendly, secure and affordable.

关键词： Attendance Recording Device Arduino ATmega328P Microcontroller ZigBee Raspberry Pi Web server python language PHP

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