nils-herrmann/clean_scirepeval huggingface dataset:
Observer Based Adaptive Sliding Mode Control of NPC Converters: An RBF Neural Network Approach
Venue: IEEE Transactions on Power Electronics
Year: 2019

This paper proposes a novel control strategy for three level neutral point clamped (NPC) power converter. The proposed control scheme consists of three control loops, i.e. instantaneous power tracking control loop, voltage regulation loop, and voltage balancing loop. First, in the power tracking control loop, a set of adaptive sliding mode controllers are established to drive the active and reactive power tracking to their desired values via radial basis function neural network technology. In the voltage regulation loop, an efficient but simple adaptive controller is designed to regulate dc link output voltage where the load is considered as an external disturbance. Moreover, a composite controller is developed in the voltage balancing loop to ensure imbalance voltages between two dc link capacitors close to zero, in which a reduced order observer is used to estimate sinusoidal disturbance improving the converter performance. The effectiveness and superiority of the proposed control strategy for the NPC power converter are compared with other control schemes through experimental results.
Studying Political Violence Using Game Theory Models: Research Approaches and Assumptions
Year: 2020

The purpose of the paper is to concisely present basic applications of game theory models for a scientific description of political violence. The paper is divided into four parts. The first part discusses the key theoretical issues including: the assumption of the players' rationality, the assumption of the players' common knowledge of their rationality, the Nash equilibrium concept, Pareto optimality, the Nash arbitration scheme and the concept of evolutionarily stable strategies. The second and third parts contain examples of uses of selected models of classical and evolutionary games in the studies on political violence. The following two interaction schemes were used to that end: the Prisoner's Dilemma and Chicken. The paper ends with a summary and discussion. The key feature of the discussed models is their methodological simplicity, as demonstrated by the lack of need to use complicated mathematical methods. This is why the paper is mainly addressed to individuals who had not studied game theory before or who have insufficient knowledge in the field to conduct own studies.
CONSCIOUS STUDY OF IMPACT OF DUST STORM ON AVIATION AND AIRPORT MANAGEMENT
Year: 2016

This paper assessed the ecotoxicity of dust storm on aviation and airport management risk in the various Arab countries environment. Here we are going to discuss the various aspects of dust storm and its effect on aviation. The study includes occasion's occurs of dust storm where many challenges has been faced by aviation at the time of flying as well as in airport also. In airport it is very difficult to manage take off and landing if there is an environment of dust storm. In this paper we are going to discuss issues related to dust storm in the field of aviation and airport management. We are also going to discuss the existing study solution provided by researchers which are having some limitations which leads us to have conscious study of impact of dust storm on aviation and airport management. This paper also provides solution ahead as per our study and survey. The basic objective of this paper is to provide information about the concept of dust storm as well as its impact on aviation and airport management. The another major objective is to draw attention on a series of potential problems that might be associated with the flight of aircrafts in dust loaded areas as well as to propose some means to minimize these problems At last, the basic prevention, detection and recovery ways of dust storm on aviation and airport also included in this study paper.
Design and Implementation of An E commerce Site for Online Book Sales (Jesutoba Bookshop As A Case Study)
Year: 2012

The business to consumer (B2C) aspect of electronic commerce (e commerce) is the most visible business use of the World Wide Web. The primary goal of an e commerce site is to sell goods and services online. This project deals with developing an e commerce website for Online Book Sale. It provides the user with a catalog of different books available for purchase in the store. In order to facilitate online purchase a shopping cart is provided to the user. In this particular project, the system is implemented using a 3 tier approach, with a backend database (for storing information details about the books in the bookstore) which is created using MySql, a middle tier server side scripting using JSP (Java Server Page) and a web browser (Google Chrome) as the front end client. In order to develop an e commerce website, a number of Technologies must be studied and understood. These include server scripting techniques, implementation technologies such as JSP or ASP.NET, programming language (such as JAVA, C# VB.NET) relational databases (such as MySQL, Access) This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart application and also to know about the technologies used to develop such an application. This document will discuss each of the underlying technologies used to create and implement an e commerce website.
Disasters in the 'abode of gods' Vulnerabilities and tourism in the Indian Himalaya
Year: 2021

In June 2013 occurred what has been named the "Himalayan Tsunami" in the Indian Himalaya. Heavy rain triggered a lake outburst flood, landslides and flash floods. An estimated several thousand people were killed mainly around the Hindu temple in Kedarnath, and the tourist infrastructure between four Hindu temples was massively destroyed, along with the source of income it had provided for the local population. The article deals with the nexus of tourism, vulnerabilities and disasters and analyses its manifestations during and after the events of 2013. It is asked, what role tourism played in the disaster as driver of social vulnerability during and especially after the events of 2013. To answer the research question the paper describes the historical development of tourism in the region, tourism related vulnerabilities and their actualization by the "Himalayan Tsunami" and in the process of reconstruction. The research shows that the disaster continues years after the supposed end due to the tourism related vulnerabilities, the significance of secondary effects of the disaster that are threatening more livelihoods than the immediate events.
Distinctiveness and Uniformity: Teaching Language in Singapore Primary Grades 1 and 2
Year: 2016

This chapter presents data from a study of primary grade 1 and grade 2 (P1 and P2) lessons for Chinese, English, Malay and Tamil. There are few, if any, comparative studies which examine pedagogy in all four official languages in Singapore; therefore, our primary purpose is to investigate how classroom teaching is similar or different for the four languages. For this investigation, data are drawn from 62 lessons observed in 2009 after new language syllabi were introduced. Despite a continuing policy of maintaining separate teaching teams, materials, syllabi/curricula and teacher training for each language, many of the policies for language and education apply across all four languages. These include recent emphases on oral skill development, recommendations that schools develop more engaging pedagogies for young learners and common policies on assessment. Our data show that teaching across the four languages is remarkably similar, which we take to be evidence of the impact of the common policies and cultural beliefs about language education in Singapore primary schools.
REPRESENTATION OF BEAUTY CONCEPT IN DOVE VIDEO ADVERTISEMENT: A MULTIMODAL ANALYSIS
Year: 2019

Dove video advertisement use multimodality as a way of creating meaning by using various modes. In Dove video advertisement shows many aspects that build a beauty image through it perspective. This study aims to analyze the use of multimodal elements to reveal the beauty concept in Dove #MyBeautyMySay video advertisement. The data is in form of video advertisement published in 2016 by Dove US account on Youtube. Qualitative method is used to give descriptive analysis and in depth understanding. The elements are analyzed using Kress and Van Leeuwen's grammar visual design (2006) Then, the verbal modes analysis are relates to Halliday and Matthiessen's systemic functional linguistics (2004) The elements found in the video advertisement are narrative process, speech act, gaze, camera angle, distance, and discourse arrangement. The combination of verbal and non verbal modes is used in the video advertisement to form the overall message. The study reveals that according to Dove beauty concept, true beauty depends on self confident on one self
Client Selection in Federated Learning: Convergence Analysis and Power of Choice Selection Strategies
Venue: ArXiv
Year: 2020

Federated learning is a distributed optimization paradigm that enables a large number of resource limited client nodes to cooperatively train a model without data sharing. Several works have analyzed the convergence of federated learning by accounting of data heterogeneity, communication and computation limitations, and partial client participation. However, they assume unbiased client participation, where clients are selected at random or in proportion of their data sizes. In this paper, we present the first convergence analysis of federated optimization for biased client selection strategies, and quantify how the selection bias affects convergence speed. We reveal that biasing client selection towards clients with higher local loss achieves faster error convergence. Using this insight, we propose Power of Choice, a communication and computation efficient client selection framework that can flexibly span the trade off between convergence speed and solution bias. Our experiments demonstrate that Power of Choice strategies converge up to 3 \times$ faster and give $10$ higher test accuracy than the baseline random selection.
Origen De La Vida Basada En La Complejidad Biologica De Los Organismos: Una Revision
Year: 2018

El origen de la vida es un problema cientifico abierto, y tal vez la incognita de mayor envergadura que se ha formulado el ser humano. Acercarse a respuestas alternativas aportaria informacion relevante para la evolucion de las ciencias modernas, la industria biotecnologica e incluso la medicina molecular. Se han planteado plausibles teorias evolutivas que resuelven el problema; no obstante se han encontrado otras como la del trabajo de A. Sharov y R. Gordon denominado Life Before Earth cuya principal hipotesis indica que la vida surgio antes de la formacion del planeta tierra, basada en la ley de Moore y en la complejidad biologica de los organismos. El presente articulo presenta una revision a dicho trabajo y, bajo los mismos fundamentos pero calculando la complejidad biologica a partir de la informacion proteinica de los organismos alejada del contexto del mundo del RNA pues no es compatible con el se calcula una fecha aproximada para el origen de la vida en la tierra. Con propositos referenciales, los resultados muestran que esta surgio anos despues de la formacion del planeta y no antes como se sugiere en Life Before Earth, evidenciando que encaja en la escala temporal geologica escogida, y ofreciendo una reflexion alternativa que contrasta lo que se sabe del funcionamiento de la vida terrestre y su evolucion.
Continuous vehicle localisation using sparse 3D sensing, kernelised renyi distance and fast Gauss transforms
Venue: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
Year: 2013

This paper is about estimating a smooth, continuous time trajectory of a vehicle relative to a prior 3D laser map. We pose the estimation problem as that of finding a sequence of Catmull Rom splines which optimise the Kernelised Renyi Distance (KRD) between the prior map and live measurements from a 3D laser sensor. Our approach treats the laser measurements as a continual stream of data from a smoothly moving vehicle. We side step entirely the segmentation and feature matching problems incumbent in traditional point cloud matching algorithms, relying instead on a smooth and well behaved objective function. Importantly our approach admits the exploitation of sensors with modest sampling rates sensors that take seconds to densely sample the workspace. We show how by appropriate use of the Improved Fast Gauss Transform we can reduce the order of the estimation problem from quadratic (straight forward application of the KRD) to linear. Although in this paper we use 3D laser, our approach is also applicable to vehicles using 2D laser sensing or dense stereo. We demonstrate and evaluate the performance of our approach when estimating the full 6DOF continuous time pose of a road vehicle undertaking over 2.7km of outdoor travel.
Classifying and Evaluating Computer Games to Explore their Potential Use in Landscape Architecture Education
Year: 2016

Computer games have been used for educational and training purposes for over a decade. Examining these games to distinguish their beneficial didactic and pedagogic potential is important for determining the possibilities for their application in design education. Studies on classifying computer games have assisted educators in identifying their potential utilization areas and have guided educators through adaptation processes. Until 2008, computer games were classified based on their purposes or their application areas, however in 2008, Sawyer and Smith introduced a new comprehensive system that classifies computer games by considering both criteria. The following year, Foster and Mishra (2009) suggested evaluating computer games according to their contribution to skills and motivation. Most recently, Djaouti et al. (2011) developed another classification system that considers interactions between games and players. Although these classification models help considerably to identify the general educational potential of computer games, they do not necessarily provide specific information for application to landscape architecture educational models. This paper introduces an evaluation system that is developed to help identifying educational potential and opportunities of computer games for use in landscape architecture education. The evaluation system used reviews computer games according to their visual and technical qualities, and also according to their contribution to skill development. As part of our research, we also applied the developed evaluation system to 60 landscape related computer games to identify game genres with pedagogic potential specific to landscape architecture education. Our findings indicate that Simcity4, Leafsnap, Build a Prairie, Thisissand, ASPIS Sustainable, and UWB Wetlands Restoration games can be used in landscape architecture education without any modification, while Minecraft needs to be modified according to the curriculum. We suggest modifying the Minecraft game for use in facilitating and leveraging the learning of landscape grading and construction materials topics and developing tailored educational games for landscape architecture by utilizing game engines. EAR Volume 34, 2016 Edinburgh Architectural Research Journal The Edinburgh School of Architecture and Landscape Architecture
A Simulation Based Optimization heuristic using self organization for complex assembly lines
Venue: Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)
Year: 2012

Our paper deals with the scheduling of complex assembly lines with a focus on Job Shop Scheduling Problems that exhibit several assembly specific characteristics: many isolated project networks with precedence constraints and thousands of jobs, time bound requirements for jobs and projects, limited resources with individual scheduling and resource lock rules. Formally it is defined as a Multi Mode Resource constrained Multi Project Scheduling Problem with splitting activities. Problems that display these characteristics are often difficult to solve with classical scheduling approaches within acceptable runtime. Simulation Based Optimization offers an auspicious manner of dealing with those domain specific problems. Using this approach we present a decentralized heuristic evident in self organization in nature. Typical algorithms attempt to solve the above problems globally. In our solution, the jobs of the network take over the active role. They communicate with their neighbors and the allocated resources, each having the local goal to optimize their own situation.
Distributed multi agent deep reinforcement learning for cooperative multi robot pursuit
Year: 2020

As a popular research topic in the area of distributed artificial intelligence, the multi robot pursuit problem is widely used as a testbed for evaluating coordinated and cooperative strategies in multi robot systems. This study the problem of multi robot pursuit game using reinforcement learning (RL) techniques is studied. Unlike most existing studies that apply fully centralised deep RL methods based on the centralised learning and decentralised execution scheme, the authors propose a fully decentralised multi agent deep RL approach by modelling each agent as an individual deep RL agent that has its own individual learning system (i.e. individual action value function, individual leaning update process, and individual action output) To realise coordination among agents, the limited information of other environmental agents is used as input of the learning process. Experimental results show that both distributed and centralised approaches can ultimately solve the pursuit evasion problem in different dimensions, but the learning efficiency and coordination performance of the proposed distributed approach are much better than the traditional centralised approach.
Research on Mandatory Lane Changing Behavior in Highway Weaving Sections
Year: 2020

As the accident prone sections and bottlenecks, highway weaving sections will become more complicated when it comes to the mixed traffic environments with connected and automated vehicles (CAVs) and human driven vehicles (HVs) In order to make CAVs accurately identify the driving behavior of manual human vehicles to avoid traffic accidents caused by lane changing, it is necessary to analyze the characteristics of the mandatory lane changing (MCL) process in the weaving area. An analytical MCL method based on the driver's psychological characteristics is proposed in this study. Firstly, the driver's MLC pressure concept was proposed by leading in the distance of the off ramp. Then, the lane changing intention was quantified by considering the driver's MLC pressure and tendentiousness. Finally, based on the lane changing intention and the headway distribution of the target lane, an MLC positions probability density model was proposed to describe the distribution characteristics of the lane changing position. Through the NGSIM data verification, the lane changing analysis models can objectively describe the vehicle lane changing characteristics in the actual scenarios. Compared with the traditional lane changing model, the proposed models are more interpretable and in line with the driving intention. The results show significant improvements in the lane changing safe recognition of CAVs in heterogeneous traffic flow (both CAVs and HVs) in the future.
Individuality and Commonality Based Multiview Multilabel Learning
Venue: IEEE Transactions on Cybernetics
Year: 2021

In multiview multilabel learning, each object is represented by several heterogeneous feature representations and is also annotated with a set of discrete nonexclusive labels. Previous studies typically focus on capturing the shared latent patterns among multiple views, while not sufficiently considering the diverse characteristics of individual views, which can cause performance degradation. In this article, we propose a novel approach [individuality and commonality based multiview multilabel learning (ICM2L) to explicitly explore the individuality and commonality information of multilabel multiple view data in a unified model. Specifically, a common subspace is learned across different views to capture the shared patterns. Then, multiple individual classifiers are exploited to explore the characteristics of individual views. Next, an ensemble strategy is adopted to make a prediction. Finally, we develop an alternative solution to jointly optimize our model, which can enhance the robustness of the proposed model toward rare labels and reinforce the reciprocal effects of individuality and commonality among heterogeneous views, and thus further improve the performance. Experiments on various real word datasets validate the effectiveness of ICM2L against the state of the art solutions, and ICM2L can leverage the individuality and commonality information to achieve an improved performance as well as to enhance the robustness toward rare labels.
Risk assessment of offshore wave wind solar compressed air energy storage power plant through fuzzy comprehensive evaluation model
Year: 2021

As a promising offshore multi energy complementary system, wave wind solar compressed air energy storage (WW S CAES) can not only solve the shortcomings of traditional offshore wind power, but also play a vital role in the complementary of different renewable energy sources to promote energy sustainable development in coastal area. However, as a new type of energy conversion system, the construction and operation risks of WW S CAES project faced by project managers are variable, complex and long term, which requires synthetic assessment and target responses. To evaluate WW S CAES project risk along low carbon development in this paper, 14 critical criteria in management, economy and environment are firstly identified. Then, a target risk assessment framework is established through hesitant fuzzy linguistic term sets improved triangular fuzzy number and fuzzy comprehensive evaluation method. Result indicates that the risk level of offshore WW S CAES is closer to middle high, and the management risk and economy risk occupy the determinant position. Based on this, targeted risk response strategies are proposed for decision makers to realize reasonable allocation of resources and appropriate risk aversion. Furthermore, since the risk analysis of offshore WW S CAES power plant has not been paid enough attention, this paper expands the knowledge and contributes to the literature.
A Bidirectional DC DC Converter With Overlapping Input and Output Voltage Ranges and Vehicle to Grid Energy Transfer Capability
Venue: IEEE Journal of Emerging and Selected Topics in Power Electronics
Year: 2014

A bidirectional buck boost dc dc converter and its control is presented for vehicle charging as well as for vehicle to grid energy transfer. The cascaded buck boost topology allows overlapping input and output voltage ranges and a higher intermediate dc bus voltage where the electric drivetrain traction inverter can be connected. The intermediate dc link capacitor voltage is varied to improve the transient performances of the converter. The reference voltage of this capacitor is set based on the input and output voltage levels, and the power demand. The modularity, control flexibility, and excellent transient performance of the converter have been verified with simulation and experiments.