scholarly journals Polyoptimal Multiperiodic Control of Complex Systems with Inventory Couplings Via the Ideal Point Evolutionary Algorithm

10.5772/32744 ◽  
2012 ◽  
Author(s):  
Marek Skowron ◽  
Krystyn Stycze
Keyword(s):  
Complex Systems ◽  
Evolutionary Algorithm ◽  
Ideal Point ◽  
The Ideal

scholarly journals Joint Representation Learning of Legislator and Legislation for Roll Call Prediction

2020 ◽  
Author(s):  
Yuqiao Yang ◽  
Xiaoqiang Lin ◽  
Geng Lin ◽  
Zengfeng Huang ◽  
Changjian Jiang ◽  
...  
Keyword(s):  
Neural Networks ◽  
State Of The Art ◽  
Ideal Point ◽  
Representation Learning ◽  
Context Information ◽  
Roll Call ◽  
Triplet Loss ◽  
Joint Representation ◽  
Narrative Description ◽  
The Ideal

In this paper, we explore to learn representations of legislation and legislator for the prediction of roll call results. The most popular approach for this topic is named the ideal point model that relies on historical voting information for representation learning of legislators. It largely ignores the context information of the legislative data. We, therefore, propose to incorporate context information to learn dense representations for both legislators and legislation. For legislators, we incorporate relations among them via graph convolutional neural networks (GCN) for their representation learning. For legislation, we utilize its narrative description via recurrent neural networks (RNN) for representation learning. In order to align two kinds of representations in the same vector space, we introduce a triplet loss for the joint training. Experimental results on a self-constructed dataset show the effectiveness of our model for roll call results prediction compared to some state-of-the-art baselines.

scholarly journals Ideal point error for model assessment in data-driven river flow forecasting

2012 ◽  
Vol 16 (8) ◽  
pp. 3049-3060 ◽  
Author(s):  
C. W. Dawson ◽  
N. J. Mount ◽  
R. J. Abrahart ◽  
A. Y. Shamseldin
Keyword(s):  
River Flow ◽  
Ideal Point ◽  
Model Performance ◽  
Model Assessment ◽  
River Flow Forecasting ◽  
The Individual ◽  
Measure Of Performance ◽  
Individual Metrics ◽  
Naive Model ◽  
The Ideal

Abstract. When analysing the performance of hydrological models in river forecasting, researchers use a number of diverse statistics. Although some statistics appear to be used more regularly in such analyses than others, there is a distinct lack of consistency in evaluation, making studies undertaken by different authors or performed at different locations difficult to compare in a meaningful manner. Moreover, even within individual reported case studies, substantial contradictions are found to occur between one measure of performance and another. In this paper we examine the ideal point error (IPE) metric – a recently introduced measure of model performance that integrates a number of recognised metrics in a logical way. Having a single, integrated measure of performance is appealing as it should permit more straightforward model inter-comparisons. However, this is reliant on a transferrable standardisation of the individual metrics that are combined to form the IPE. This paper examines one potential option for standardisation: the use of naive model benchmarking.

scholarly journals ANALISIS UNJUK KERJA ZERO FORCING EQUALIZER PADA SISTEM OFDM MIMO

2018 ◽  
Vol 5 (1) ◽  
pp. 68
Author(s):  
R. A. Prayitno ◽  
N.M.A.E.D. Wirastuti ◽  
I.G.A.K.D.D. Hartawan
Keyword(s):  
No Value ◽  
Orthogonal Frequency Division Multiplexing ◽  
Mimo System ◽  
Multipath Propagation ◽  
Multiple Input Multiple Output ◽  
Ideal Point ◽  
Zero Forcing ◽  
Eye Diagram ◽  
Eye Pattern ◽  
The Ideal

Wireless network is one of the most important things in the development of telecommunication. However, the existing wireless technology has not been able to efficiently create a very high data rate because it was very sensitive to fading. Therefore, Orthogonal Frequency Division Multiplexing (OFDM) technology combined with MIMO (Multiple Input Multiple Output) transceiver system was used to gain more diversity and bandwidth efficiency. The propagation performed on the OFDM MIMO system was multipath propagation. To reduce Intersymbol Interference (ISI) was used Zero Forcing (ZF) equalizer which works by combining channel response and equalizer response itself to eliminate ISI. This study aims to determine the effect of Zero Forcing Equalizer on OFDM MIMO system using rayleigh fading channel and compared the result with OFDM MIMO STBC system. The research method used was simulation using MatLab R2015a. The simulation results showed that the performance of OFDM MIMO ZF system was worse than OFDM MIMO STBC system i.e BER vs EbNo simulation, eye diagram simulation, and constellation diagram simulation. The OFDM MIMO ZF system was required an Eb / No value more than 25 dB to achieve BER 10-4 while the OFDM MIMO STBC system only required an Eb / No value of 10.5 dB to achieve BER 10-4. The eye pattern generated by the OFDM MIMO ZF system was more closed and the dispersion of constellation signals away from the ideal point while OFDM MIMO STBC system displayed a more open eye pattern and the dispersion of its constellation signal closer to the ideal point. It indicated more ISI occurs in the OFDM MIMO ZF system than that in OFDM MIMO STBC system.

Research on Feasible Direction Variation of Multi-Objective Genetic Algorithms and Simulation

2014 ◽  
Vol 644-650 ◽  
pp. 1965-1968
Author(s):  
Yue Li Li ◽  
Chao Wang
Keyword(s):  
Fitness Function ◽  
Ideal Point ◽  
Optimal Solution ◽  
Feasible Direction ◽  
Current Group ◽  
Multi Objective ◽  
Point Search ◽  
Solution Region ◽  
The Individual ◽  
The Ideal

The method provided in this paper can be according to the current population to readjust the weight, thus obtain toward the positive ideal point search pressure, finally converge to the optimal solution. This paper combines the feasible direction into genetic algorithm. This method can lead the individual to optimal solution region along feasible direction which approach the optimal solution sets. Through evaluating the degree of distance between chromosome and constrain, we introduce membership function into traditional GA and embed the information of infeasible solutions into fitness function. Propose a self-adapting evaluation function. This method can readjust the weights according to current group and then get the stress of searching to the ideal positive point. To a kind of fuzzy multi-objective optimization problem, propose a method of best satisfaction to transform the fuzzy models to clear ones and solve the models using GA based on interactive method. Then testify its validity though examples.

Research on Surrounding Rock Stability by Ideal Point-Rough Set Efficacy Coefficient Method

2013 ◽  
Vol 353-356 ◽  
pp. 415-420 ◽  
Author(s):  
Guo Ren Lu ◽  
Le Wen Zhang ◽  
Dao Hong Qiu ◽  
Xiao Feng
Keyword(s):  
Stability Analysis ◽  
Rough Set ◽  
Ideal Point ◽  
Surrounding Rock ◽  
Ideal Solution ◽  
Rock Stability ◽  
The Stability ◽  
Efficacy Coefficient Method ◽  
Coefficient Method ◽  
The Ideal

The ideal point method is a kind of multiple-goal decision analysis method, the basic idea is to construct the ideal and anti-ideal solution of multi attribute problem, with degree that near ideal solution and away from the anti-ideal solution as the basis to judge each evaluation object. Based on the basic principle of ideal point method, and comprehensive consideration of the actual geological conditions of Qingdao metro, we selected rock compressive strength, integrity coefficient, structure surface behavior, groundwater and softening coefficient as the evaluation factors of surrounding rock stability, and used the rough set theory to determine the index weight. At last, established the evaluate model for the surrounding rock stability of metro based on the rough set efficacy coefficient method. The research show that the stability analysis results are consistent with the actual excavation, so using rough set efficacy coefficient method to analysis surrounding rock stability of Qingdao Metro is feasible, which provides a new idea for the stability analysis of surrounding rock.

Apply De Novo Programming in Pavement Maintenance Strategy Optimization

2013 ◽  
Vol 723 ◽  
pp. 805-811
Author(s):  
Ching Tsung Hung ◽  
Jyh Dong Lin ◽  
Pei Liu
Keyword(s):  
Subjective Experience ◽  
De Novo ◽  
Ideal Point ◽  
Pavement Management ◽  
Management Level ◽  
Pavement Maintenance ◽  
Highway Network ◽  
Maintenance Work ◽  
Technology Level ◽  
The Ideal

With the highway network of Taiwan is intact gradually, the management of highway engineering is improving technology level to management level. Reducing the influence with pavement deteriorating, improving the pavement age and achieving the need of pavement service quality, it is a pavement agencys object. Present maintenance work depend on subjective experience judgment of civil engineer, but the kind of method is lack systemic planning. In view of this, Pavement Management system use multi-objectives goal programming to solving priority with the pavement maintenance works. But the multi-objectives programming method is considering multiple-objective, so it cans satisfied the ideal point. The De Novo Method is a new method to approach the ideal point. We try to using this method to solving Taiwan Freeways maintenance work programming.

scholarly journals The Power of Context in Networks: Ideal Point Models with Social Interactions

2019 ◽  
Author(s):  
Mohammad T. Irfan ◽  
Tucker Gordon
Keyword(s):  
Voting Behavior ◽  
Strategic Behavior ◽  
Ideal Point ◽  
Limited Attention ◽  
Point Model ◽  
Real World Data ◽  
Strategic Behaviors ◽  
Using Data ◽  
Political Spectrum ◽  
The Ideal

Game theory has been widely used for modeling strategic behaviors in networked multiagent systems. However, the context within which these strategic behaviors take place has received limited attention. We present a model of strategic behavior in networks that incorporates the behavioral context, focusing on the contextual aspects of congressional voting. One salient predictive model in political science is the ideal point model, which assigns each senator and each bill a number on the real line of political spectrum. We extend the classical ideal point model with network-structured interactions among senators. In contrast to the ideal point model's prediction of individual voting behavior, we predict joint voting behaviors in a game-theoretic fashion. The consideration of context allows our model to outperform previous models that solely focus on the networked interactions with no contextual parameters. We focus on two fundamental questions: learning the model using real-world data and computing stable outcomes of the model with a view to predicting joint voting behaviors and identifying most influential senators. We demonstrate the effectiveness of our model through experiments using data from the 114th U.S. Congress.

scholarly journals Reconsidering Social Dynamics: Fundamentality and Social Simulations

2012 ◽  
Vol 10 (1) ◽  
pp. 122-125
Author(s):  
Ioannis Katerelos ◽  
Charalambos Tsekeris
Keyword(s):  
Social Networks ◽  
Complex Systems ◽  
Everyday Life ◽  
Social Dynamics ◽  
Social World ◽  
Agent Based ◽  
Fundamental Law ◽  
Human Complex ◽  
The Ideal

We live in a ceaselessly changing and inescapably dynamic social world. Given the inherent unpredictability of human complex systems, this brief article seeks to show that agent-based social simulations can possibly approach the ideal of a fundamental law of social dynamics, including all forms or processes of social dynamics, articulated with everyday life and action, individual or collective. This ultimately tends to recover the explanatory potential of social networks and offer an efficient research basis for the creative re-conceptualization of social dynamics.

scholarly journals WACANA SYARIAT KONTEMPORER DI BARAT: Studi Pemikiran Wael B. Hallaq dan M. Barry Hooker

2017 ◽  
Vol 18 (1) ◽  
pp. 1
Author(s):  
Mohamad Abdun Nasir
Keyword(s):  
Islamic Law ◽  
Social Issues ◽  
Ideal Point ◽  
Point Of View ◽  
Legal Norms ◽  
Main Work ◽  
Political Environments ◽  
Independent Work ◽  
Human Rights Violation ◽  
The Ideal

Contemporary popular discourses about Islam, shari’a and Islamic law in the West is often filled with the issues of terrorism, anti-democracy, human rights violation and women’s minor status in Islam, which all lead into negative perception. Unlike such popular views, Western scholars perceive shari’a from various perspectives. They are quite critical to shari’a in a positive sense. This article discusses Western scholarly discourses on shari’a by comparing the thoughts and works of two most prominent figures, Wael B. Hallaq and M. Barry Hooker, who always concern with shari’a, Islamic law and related social issues, such modernity, colonialism and legal system. Based on the model of the study of public figure and grounded its main data on Hallaq’s and Hooker’s main work, this study shows that these two scholars promote idealistic and contextual perception on shari’a. From the ideal point of view, shari’a is seen a product of scholarly independent work by Muslim jurists, whose authority now is unfortunately taken over by the state. The contextual view regards shari’a as flexible Islamic religious or legal norms that are adaptable to the changing social and political environments so they are easily transferrable into the educational, legal and political system in a country like Indonesia, entailing what is called “national mazhab”.

Sign in / Sign up

Export Citation Format

Share Document