单主体认知逻辑的研究——全知性和真知性

我们在《二重命题逻辑系统BT4 》基础上 ,继续研究单主体认知的主观全知性和主观真知性 ,并且讨论主观全知性、主观真知性。

Cooperative Jamming for Enhancing Security of Cognitive Radio Networks with Multiple Primary Users

In cognitive radio networks(CRNs), through recruiting secondary user(SU) as friendly jammer, the secrecy rate obtained by primary user(PU) can be improved. Previous work only considered a simple scenario with a single PU in their frameworks. In this paper, we will consider a more complicated scenario with multiple PUs and try to investigate the cooperative jamming between multiple PUs and a single SU. When there are multiple PUs in CRN, in order to obtain more spectrum for data transmission, SU will cooperate with multiple PUs at the same time. Considering that both PU and SU are rational and selfish individuals, the interaction between PUs and SU is formulated as a multi-leaders and single-follower Stackelberg game, wherein PU is the leader and SU is the follower. And the Stackelberg Equilibrium(SE) is considered as the final decisions accepted by all PUs and SU. Furthermore, we also prove that when a specific condition is satisfied, the existence of SE can be guaranteed. And a Gauss-Jacobi iterative algorithm is proposed to compute a SE. Finally, simulation results are given to verify the performance and demonstrate that both of the PUs' secrecy rate and the SU's transmission rate can be improved through cooperation.

SECURE STEGANOGRAPHY BASED ON BINARY PARTICLE SWARM OPTIMIZATION

The objective of steganography is to hide message securely in cover objects for secret communication.How to design a secure steganographic algorithm is still major challenge in this re-search field.In this letter,developing secure steganography is formulated as solving a constrained IP(Integer Programming) problem,which takes the relative entropy of cover and stego distributions as the objective function.Furthermore,a novel method is introduced based on BPSO(Binary Particle Swarm Optimization) for achieving the optimal solution of this programming problem.Experimental results show that the proposed method can achieve excellent performance on preserving neighboring co-occurrence features for JPEG steganography.

A Knowledge Management Framework of the Information Technology-Based Approach for Improving Occupational Safety Training of Young Workers

This paper aims to develop a novel knowledge management framework for improving the system of pro-safety attitudes among young worker population in Poland. This is done through an efficient use of existing sources of explicit and tacit knowledge in the field of vocational occupational safety and health （OSH） training. This project identifies three specific research steps for the development of the knowledge management framework of the information technology-based approach for improving occupational safety training of young workers, including： （1） the development of the conceptual model of the flow of explicit knowledge of OSH; （2） evaluation of the effectiveness of formal and explicit knowledge sources for OSH and training methods using these sources in the context of attitudes towards health and safety at work; and （3） verification of the proposed model of vocational training with the use of combined explicit and hidden knowledge. The proposed framework includes consideration of the effectiveness of the formal and informal sources of safety knowledge. A mapping from the formal sources of explicit knowledge about the occupational safety to expected attitudes （hidden knowledge） towards OSH outcomes, including emotional, cognitive, and behavioral aspects has been used. The above framework should help to improve the system of vocational training for young workers in Poland.

ADRs and Children： Knowledge and Methodological Standard in PASS （Post Authorization Safety Studies）

PhV （pharmacovigilance） knowledge has the outcome of being inadequate in particular due to the lack of instruction. Pediatricians have to face the realization that over-the-counter medicines increments the peril of ADRs （adverse drug reactions） has become a public health concern. The purpose of this article is to disseminate knowledge of the PhV and to highlight the cultural and organizational difficulties for its implementation. The objectives of promoting the organization of specific training courses and research projects aimed at： （1） to foster the culture of iatrogenic disease in pediatrics; （2） to improve the appropriateness of prescribing drugs in children; （3） to enco.urage spontaneous reporting of ADRs in children; （4） to involve Pediatricians in PASS （post-authorization safety studies） according to GCP, GVP and ENCEPP Code of Conduct. An up to date proposal of PhV, a procedure of preparation improves the productivity of creating novel informative reports which can be utilized for a benefit/risk scrutiny making strides in medicine prescription. In this context, FP-MCRN （family paediatficians-medicines for children research network） established with the aim of developing competence, infrastructure and education for paediatric clinical trials, plays a crucial role in paediatric PhV, through an improvement of PhV training, a correct research methodology and very strong relationship with the families. The initial necessity is cultural, implementing culture of iatrogenic illnesses and a watchful evaluation of the importance of PASS by FPs （family pediatricians）. Participation in clinical trials that generates a precise database administered by FPs together with follow-up outcomes becomes relevant and vital for a scrupulous and accurate assessment of ADRs. PASS can foresee on one hand training and information regarding the proper use of drugs in children and possible iatrogenic pathologies caused by their improper use, the other to constitute a territorial survey in the prescriptive appropriateness and safety of pediatric drugs aimed at evaluating the risk-benefit balance on usage.

A Secure-Efficient Data Collection Algorithm Based on Self-Adaptive Sensing Model in Mobile Internet of Vehicles

Existing research on data collection using wireless mobile vehicle network emphasizes the reliable delivery of information.However,other performance requirements such as life cycle of nodes,stability and security are not set as primary design objectives.This makes data collection ability of vehicular nodes in real application environment inferior.By considering the features of nodes in wireless IoV,such as large scales of deployment,volatility and low time delay,an efficient data collection algorithm is proposed for mobile vehicle network environment.An adaptive sensing model is designed to establish vehicular data collection protocol.The protocol adopts group management in model communication.The vehicular sensing node in group can adjust network sensing chain according to sensing distance threshold with surrounding nodes.It will dynamically choose a combination of network sensing chains on basis of remaining energy and location characteristics of surrounding nodes.In addition,secure data collection between sensing nodes is undertaken as well.The simulation and experiments show that the vehicular node can realize secure and real-time data collection.Moreover,the proposed algorithm is superior in vehicular network life cycle,power consumption and reliability of data collection by comparing to other algorithms.

High-Gain Approach Based Full-Order Observers for Linear Systems with Unknown Inputs

In this paper, a full-order observer which can be fully decoupled from the unknown inputs as the conventional full-order observer does is designed by using auxiliary outputs, but the requirement of the matching condition is removed. The procedure of calculating the parameter matrices of the full-order observer is also presented. Compared with the existing auxiliary outputs based sliding-mode observers, the designed observer has a simpler design procedure, which is systematic and does not involve solving linear matrix inequalities. The simulation results show that the proposed method is effective.

Development of an Expert Model to Assess Falls from Height Hazards in Construction Sites

This paper reports on the current state of an ongoing research project which is aimed at implementing intelligent models for hardly predictable hazard scenarios identification in construction sites. As any programmatic actions cannot deal with the unpredictable nature of many risk dynamics, an attempt to improve the current approach for safety management in the construction industry will be presented in this paper. To this aim, the features offered by Bayesian networks have been exploited. The present research has led to the definition of a probabilistic model using elicitation techniques from subjective knowledge. This model, which might be meant as a reliable knowledge map about accident dynamics, showed that a relevant part of occurrences fall in the ＂hardly predictable hazards＂ category, which cannot be warded off by programmatic safety measures. Hence, more effort turned out to be needed in order to manage those hardly predictable hazardous scenarios. Consequently, further developments of this research project will focus on a real time monitoring system for the identification of unpredictable hazardous events in construction.

Contrast study on cognitive function with MRI and positron emission tomography imaging in transient global amnesia

OBJECTIVE: To study cognitive function and cerebral metabolic changes in patients with transient global amnesia (TGA). METHODS: Three patients with TGA were given mini-mental state examination (MMSE), revised Wechsler memory scale (WMS-R) examination and magnetic resonance imaging (MRI) scans after they had been diagnosed as TGA. Using (18)F labelled deoxyglucose as tracer, patients were given a positron emission tomography (PET) examination at different periods during recovery. RESULTS: No obvious abnormality was found in MMSE and MRI scans in the three patients. However, WMS-R examination and cerebral PET imaging displayed cognitive dysfunction of varying degrees and low metabolism in local areas related to memory in 2 of 3 patients. CONCLUSIONS: In TGA patients, cognitive function and cerebral metabolic levels are closely correlated with duration of symptoms. It is necessary to stop the TGA attack as quickly as possible early time.