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There has been a considerable debate on the applicability of conventional encryption techniques for protecting images. Chaos based encryption systems are preferred for digital image encryption for a long time now. For a reliable encryption method any alteration in image content or the key must be reflected in the cipher image. The present work demonstrates a highly secure and reliable encryption of...
This paper proposes a methodology to evaluate an Intermodal Transportation System (ITS). These systems are very complex and a lot of different actors are involved. The evaluation process should take into account concurrent needs and goals. Moreover, the data and the importance of different indicators are strictly related to the judgments of individual experts. Then it is necessary to have a methodology...
The study aims to research the effecting factors of the level of independent innovation ability in China, constructing innovation environment by the grey clustering model and build the national innovation capability evaluation index system, including the innovation input, innovation output and innovation potential of 4 indexes and 17 level two indexes. The related data of 26 countries was collected...
The testability allocation is a very important work in the equipment demonstration and design stage. With the increase of equipment system integration and complexity, it is necessary to consider the influence of the integration to the testability index. This paper proposes a novel iterative allocation method based on system integration. Firstly, the allocation effect factor is quantified through considering...
With the development of economy, logistics becomes more and more important. Logistics efficiency depends on the structure of logistics networks. This paper briefly review the studies about complex networks from perspectives of statistical properties, structural models and application areas. Logistics networks and complex networks have same behavior pattern, so we can apply the theories of complex...
With the improvement of residents' living standards and humans' attention in environmental protection green consumption consciousness and so on, cold chain logistics and green logistics have become the important parts in logistics system. With the development of these two kinds of logistics mode, “green cold chain logistics” with combined of the two will also be a new kind of logistics mode. On the...
In the multiple target tracking scenarios, the correct matching between targets and measurements is critical. There have been many approaches to resolve this problem called data association. In this paper, a regression method is proposed to resolve the data association problem. In the logistic regression model, nine potential predictor variables are designed which are related to the geometric information...
Most domestic and foreign experts and scholars make their identifications and assessments of the risk integration of logistics information only rely on the extant experience of experts and few of them ever have done a comprehensive risk identification in the stage of logistics information integration, which let alone a quantitative analysis and assessment. So in this article we set up a frame of risk...
The development of logistics and regional economy is complementary to each other, and the study of logistics efficiency is an important foundation to promote regional economic development. Based on the DEA model, this paper constructs the corresponding input-output index, and uses spss software to analyze the reasonableness of the selected indicators. It takes eight cities in the Yangtze Delta of...
Electrocardiography (ECG) is a standard clinical process to record the electrical activity of the heart. It is the most available effective method for diagnosing cardiac arrhythmias. The ECG signals may be classified into either normal or abnormal based on the timing and the potential information of the electrical waves propagating through the heart's muscles. Many advanced signal processing techniques...
This article constructs a three dimensional customer segmentation model based on customer lifetime value, customer satisfaction and customer activity, which more accurately divides customers into different groups. The corresponding variables are obtained by RFM model, Kano model and BG/NBD model. The customer segmentation model provides ten groups of customers with corresponding marketing strategies,...
The rapid developments of the Internet of vehicles (IoV) technologies and big data technologies in recent years have offered new solutions to improve traffic safety and efficiency. In this paper, we propose a system architecture that aims to combine driver background data and driving data, in order to analyze and evaluate driving behaviors. To demonstrate the idea, we utilize logistic regression to...
The location selection of distribution centers is one of important strategies to optimize the logistics system. To solve this problem, this paper presents a new multi-actor multi-attribute decision-making method based on ELECTRE I. The proposed method helps decision-makers to select a preferred location from a given set of locations for implementing. The strength of the proposed method is to incorporate...
In this paper, in view of the current development of the logistics industry to evaluate methodological flaws, constructs a grey theory and entropy in logistics industry development level evaluation model, the model based on the influence factor on the outcome of different effects, which the influence factors are divided into different types of ash, then establish belongs to the gray type of weight...
Social influence has been a widely accepted phenomenon in social networks for decades. In this paper, we study influence from the perspective of structure, and focus on the simplest group structure — triad. We analyze two different genres of behavior: Retweeting on Weibo1 and Paying on CrossFire2. We have several intriguing observations from these two networks. First, different internal structures...
In this article, we propose a discrete infinite logistic normal distribution (DILN) to estimate the number of states in a hidden Markov model (HMM). The HMM with the DILN priors (DILN-HMM) allows for infinite state support and model correlations between state transition probabilities. A variational Bayesian (VB) framework is proposed to infer the posterior distribution of the parameters of DILN-HMM...
This paper presents an application of educational data mining to predict undergraduate retention. The research provides valuable insight about data feature ranking, algorithm selections and validation methods based on unique types of data that come from educational settings. The data from a cohort of 972 students enrolled in 2008 at Embry-Riddle Aeronautical University (ERAU) were used to train and...
Environmental deterioration problems have become increasingly prominent, which poses a serious threat to the survival and development of human society. cold chain logistics as the important method to ensure food quality, will generate huge energy consumption because it's strict temperature control, and the nonstandard logistics activity of cold chain logistics enterprise will cause the waste of resources...
Based on the value of import and export and logistics capability evaluating index, this paper has researched the relationship of import and export trade and China's logistics capability. Meanwhile, elastic coefficients of index have also been calculated. The value of import and export trade and China's logistics capability are used to complete status analysis. The correlation between import and export...
In China, natural disasters which are regionalism, diversity, frequency, extensive losses greatly threaten the people's personal safety and property security. However, some circumstances could exist in affected areas, such as shortage and invalid supply of emergency food, competition for materials among people and so forth. In this paper, we study on supply capacity of food emergency logistics, establish...
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