Optimization Study of Expandable Net Security State Evaluation Models

2013 ◽  
Vol 380-384 ◽  
pp. 2021-2024
Author(s):  
Rong Fan ◽  
Xiao Jie Wang
Keyword(s):  
Knowledge Base ◽  
Attack Rate ◽  
The State ◽  
State Data ◽  
State Evaluation ◽  
Optimization Study ◽  
Evaluation Models ◽  
Net Security ◽  
Real Objects ◽  
State Models

Net security state awareness provides a security management from macroscopic perspectives for managers, but the research on this field still lacks united recognition and rules. The paper bases on the research results of 5-Endsley, raises a kind of expandable model of net security state awareness and introduces the concept of state extract into the field of net security. In the process of dealing with state data, the model introduces space knowledge base to norm the state extract process, and builds models with state as the real objects. The models raised include attack rate, attack time and space information, which simplifies the state extract process, discusses the standards of state models and demonstrates the utility and efficiency by using real statistics to evaluate state models

scholarly journals Corporate governance in Poland

2009 ◽  
Vol 7 (2) ◽  
pp. 387-394 ◽  
Author(s):  
Tom Mortimer
Keyword(s):  
Corporate Governance ◽  
Future Development ◽  
Traditional Approach ◽  
Hybrid Approach ◽  
The State ◽  
The Future ◽  
Stakeholder Model ◽  
State Models

This article considers the traditional approach to the ’state’ Models of corporate governance, namely shareholder Model and stakeholder Model. It then considers the extent to which developments in a recent accession EU country, Poland, reflects either of these Models or adopts a hybrid approach. It then offers proposals for the future development of corporate governance within Poland.

A Knowledge-Based Approach to Modelling of Robotic Assembly Cells

Robotica ◽  
1991 ◽  
Vol 9 (1) ◽  
pp. 31-42 ◽  
Author(s):  
Dae-Won Kim ◽  
Bum-Hee Lee ◽  
Myoung-Sam Ko
Keyword(s):  
Knowledge Base ◽  
State Transition ◽  
Knowledge Bases ◽  
The State ◽  
System Structure ◽  
Robotic Assembly ◽  
Knowledge Based ◽  
Job Information ◽  
Assembly Cell ◽  
Transition Map

SUMMARYIn this paper, an approach to modelling of a robotic assembly cell is proposed and a method for managing the cell operation is described using a knowledge base. Since the modelling structure is based on the concept of the state variable, the relationships between states are described by the state transition map (STM). The knowledge-bases for state transition and assembly job information are obtained from the STM and the assembly job tree (AJT), respectively. Using the knowledge-base, the System structure is discussed in relation to both managing the cell operation and evaluating the performances. Finally, a simulation algorithm is presented with the simulation results to show the significance of the proposed modelling approach.

Political Tendencies in Russia’s Regions: Evidence from the 1993 Parliamentary Elections

Slavic Review ◽  
1994 ◽  
Vol 53 (3) ◽  
pp. 711-732 ◽  
Author(s):  
Darrell Slider ◽  
Vladimir Gimpel'son ◽  
Sergei Chugrov
Keyword(s):  
Political Process ◽  
National Level ◽  
The State ◽  
Parliamentary Elections ◽  
State Data ◽  
First Time

Most analyses of the consequences of the December 1993 elections have focused on the State Duma that was elected and its likely role in the Russian political process at the national level. The purpose of this study is to go beyond the more obvious impact of the elections to examine underlying patterns and tendencies that could be significant for Russia's future as a federal, multiethnic state. Data on voting for the parliament by party list permit for the first time a systematic, multidimensional comparison of political tendencies in Russia's regions.

scholarly journals Deep Q-Network with Predictive State Models in Partially Observable Domains

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Danning Yu ◽  
Kun Ni ◽  
Yunlong Liu
Keyword(s):  
Recurrent Network ◽  
Fixed Number ◽  
The State ◽  
Great Success ◽  
Robotic Control ◽  
Continuous State Space ◽  
Continuous State ◽  
Observable Actions ◽  
State Models ◽  
Partially Observable

While deep reinforcement learning (DRL) has achieved great success in some large domains, most of the related algorithms assume that the state of the underlying system is fully observable. However, many real-world problems are actually partially observable. For systems with continuous observation, most of the related algorithms, e.g., the deep Q-network (DQN) and deep recurrent Q-network (DRQN), use history observations to represent states; however, they often make computation-expensive and ignore the information of actions. Predictive state representations (PSRs) can offer a powerful framework for modelling partially observable dynamical systems with discrete or continuous state space, which represents the latent state using completely observable actions and observations. In this paper, we present a PSR model-based DQN approach which combines the strengths of the PSR model and DQN planning. We use a recurrent network to establish the recurrent PSR model, which can fully learn dynamics of the partially continuous observable environment. Then, the model is used for the state representation and update of DQN, which makes DQN no longer rely on a fixed number of history observations or recurrent neural network (RNN) to represent states in the case of partially observable environments. The strong performance of the proposed approach is demonstrated on a set of robotic control tasks from OpenAI Gym by comparing with the technique with the memory-based DRQN and the state-of-the-art recurrent predictive state policy (RPSP) networks. Source code is available at https://github.com/RPSR-DQN/paper-code.git.

Language-Independent Type Inference of the Instances from Multilingual Wikipedia

2019 ◽  
Vol 15 (2) ◽  
pp. 22-46 ◽  
Author(s):  
Tianxing Wu ◽  
Guilin Qi ◽  
Bin Luo ◽  
Lei Zhang ◽  
Haofen Wang
Keyword(s):  
Knowledge Base ◽  
State Of The Art ◽  
The State ◽  
Type Inference ◽  
Experimental Results ◽  
High Quality ◽  
New Approach ◽  
Semantic Associations ◽  
Quality Type ◽  
Type Information

Extracting knowledge from Wikipedia has attracted much attention in recent ten years. One of the most valuable kinds of knowledge is type information, which refers to the axioms stating that an instance is of a certain type. Current approaches for inferring the types of instances from Wikipedia mainly rely on some language-specific rules. Since these rules cannot catch the semantic associations between instances and classes (i.e. candidate types), it may lead to mistakes and omissions in the process of type inference. The authors propose a new approach leveraging attributes to perform language-independent type inference of the instances from Wikipedia. The proposed approach is applied to the whole English and Chinese Wikipedia, which results in the first version of MulType (Multilingual Type Information), a knowledge base describing the types of instances from multilingual Wikipedia. Experimental results show that not only the proposed approach outperforms the state-of-the-art comparison methods, but also MulType contains lots of new and high-quality type information.

scholarly journals Study on Evaluation of Timber Security in China Based on the PSR Conceptual Model

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 517
Author(s):  
Qiujuan Li ◽  
Shaozhi Chen ◽  
Rong Zhao
Keyword(s):  
Conceptual Model ◽  
Comprehensive Evaluation ◽  
Entropy Method ◽  
The State ◽  
High Tech ◽  
Key Factors ◽  
Factors Affecting ◽  
State Response ◽  
State Evaluation ◽  
Changing Trend

In case of a shortage of China’s domestic timber, the research of China’s timber security has become increasingly more important. Using the pressure-state–response (PSR) conceptual model and the entropy method, the timber security of China during 1997–2017 was evaluated and analyzed to understand and master the situation of timber security in this paper. The results showed that: (1) The pressure of timber security in China during 1997–2017 was increasing in waves, with the condition of timber imports as the main factor; (2) the state of timber security in China presented a downward-then-upward tendency during 1997–2017, the main influencing factors of which were the domestic timber supply and forest resources condition; (3) responses to ensure the timber security of China almost indicated a steep rising trend, because both the timber industry technical progress index and the waste paper recovery rate improved the safety of timber in China; and (4) the changing trend of the comprehensive evaluation of timber security in China approximately agrees with that of the state evaluation, which showed that state indicators were key factors affecting the timber security of China. The pressures influencing the timber security of China are rising, while the state of timber security and the responses of the high-tech industry have been improving at a higher range than the pressures, which has led to an improvement of China’s timber security.

Evaluation of Health State of Mining Equipment by Dynamic Weighted Fuzzy Grey Method

2014 ◽  
Vol 528 ◽  
pp. 222-231 ◽  
Author(s):  
Xu Qian ◽  
Jin Li ◽  
Wei Tao Liu ◽  
Tian Zi Wang ◽  
Xv Feng Fan
Keyword(s):  
Evaluation System ◽  
Weighting Function ◽  
Influence Factors ◽  
Indicator System ◽  
The State ◽  
Operating Conditions ◽  
Health State ◽  
Mining Equipment ◽  
Data Set ◽  
State Evaluation

The state evaluation of mining electromechanical equipment is important but complicated, for the complexity, nonlinearity and the ambiguity of the influence factors. In this paper, a novel indicator system to assess the state of mining equipment is constructed from three main aspects, namely the product quality of the equipment, their operating conditions and statistic data of historical states. The ambiguity-fuzzy method and grey-sum method are both employed to evaluate different influence factors, and are summed up together as the final evaluation result by dynamic weighting function, which is derived from a modified expert scoring mechanism we propose. We further implement the proposed evaluation system and verify the effectiveness of the evaluation system through real data set based experiments. The experimental results indicate that this system is of important guiding significance to the state evaluation of coal mine equipment and safe production in coal mines.

A Status Evaluation Model of Human Errors Probability in Petroleum Operations

2013 ◽  
Vol 416-417 ◽  
pp. 2078-2082
Author(s):  
Shang Hai Liu ◽  
Bao Fa Liu ◽  
Xian Tao Liu
Keyword(s):  
Probability Theory ◽  
Evaluation Model ◽  
Oil Industry ◽  
Risk Status ◽  
Human Errors ◽  
State Evaluation ◽  
Evaluation Models ◽  
Petroleum Field ◽  
The Relationship ◽  
Error State

The accident happens sometimes in the oil industry and that the Human errors (HEs) are studied and used in the petroleum field is fewer. Then, the paper analyzes the early achievements and finds that most of the studies are aimed at the operation behavior but not the operator. So, using probability theory, the paper discusses the HE Causes and the relationship between human behavior and the accident, and it presents the error state evaluation model of organization and the evaluation model of the number of operators doing Error. According to the evaluation models, the management can get the risk status of accident of an organization.

scholarly journals News Agencies, Development, and the State: models of the BRICS countries

2016 ◽  
Vol 12 (1) ◽  
pp. 34-59
Author(s):  
Pedro Aguiar
Keyword(s):  
The State ◽  
Brics Countries ◽  
News Agencies ◽  
State Models

Agências de notícias tiveram papel de destaque no processo de desenvolvimento dos sistemas nacionais e internacionais de comunicação, particularmente na periferia do capitalismo, por serem primordialmente responsáveis pela circulação na economia da informação. Nos países da África, sul da Ásia e Caribe, elas constituíram alicerces prioritários na construção da estrutura institucional do Estado, pensadas para promover o desenvolvimento. Os diferentes modelos forneceram determinantes para políticas públicas nestes países, tais como a opção por agências estatais ou privadas, independentes ou associadas a multinacionais, de importação ou exportação de informação. Considerando esses paradigmas e seus híbridos, o artigo examina os distintos modelos de constituição e operação de agências de notícias adotados nos países emergentes do século XXI, nominalmente os do chamado grupo BRICS (Brasil, Rússia, Índia, China e África do Sul), no que têm de particular em relação ao Estado, ao modelo de propriedade e de negócio, e seus papéis dentro das respectivas estratégias de desenvolvimento nacional.

scholarly journals THE QUESTION OF CHANGING THE CONCEPT, ROLE AND FUNCTIONS OF STATE

2016 ◽  
Vol 1 (1) ◽  
pp. 268
Author(s):  
José G. Vargas-Hernández
Keyword(s):  
Empirical Evidence ◽  
The State ◽  
State System ◽  
Regulatory Activity ◽  
Recent Developments ◽  
State Models

This paper on the question of the concept, role and functions of State, attempts to critically analyze recent developments and transformations. It is assumed that all existing State models to date are in ideological crisis that challenges the concept of State. The problem is that the empirical evidence of the role and functions of the State or the State system are different from a standpoint of a range of spheres of government, which generate the multiple requirements of the regulatory activity of the State. In the discussion some questions are identified and proposals that may be useful for analyzing the transformation of the State are formulated.

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