In this chapter we apply the concepts of statistical thermodynamics to the calculation of chemically significant quantities. First, we establish the relations between thermodynamic functions and partition functions. Next, we show that the molecular partition function can be factorized into contributions from each mode of motion and establish the formulas for the partition functions for translat...

We analyse supermembrane instantons (fully wrapped supermembranes) by computing the partition function of the three-dimensional supersymmetrical U(N) matrix model under periodic boundary conditions. By mapping the model to a cohomological field theory and considering a mass-deformation of the model, we show that the partition function exactly leads to the U-duality invariant measure factor ente...

This paper presents a multi-stage approach toward the robust classification of travel-modes from GPS traces. Due to the fact that GPS traces are often composed of more than one travel-mode, they are segmented to find sub-traces characterized as an individual travel-mode. This is conducted by finding individual movement segments by identifying stops. In the first stage of classification three ma...

Abstract With the development of deep neural network (DNN) techniques, applications DNNs show state-of-art performance. In cloud edge collaborative mode, devices upload raw data, such as texts, images, and videos, to for processing. Then, returns prediction or classification results. Although take advantage powerful performance DNN, there are also colossal privacy protection risks. DNN partitio...

This paper presents a model of group formation based on the assumption that individuals prefer to associate with people similar to them. It is shown that, in general, if the number of groups that can be formed is bounded, then a stable partition of the society into groups may not exist. (A partition is defined as stable if none of the individuals would prefer be in a different group than the on...

While resource management and task scheduling are identified challenges of Grid computing, current Grid scheduling systems mainly focus on CPU and network availability. Recent performance improvement of CPU and computer network has made memory usage a significant factor of overall performance. In this study, we consider memory availability as a performance factor and introduce memory conscious ...

At present, the competition to participate in international projects through EPC general contracting mode is becoming more and fierce. Accurate identification objective classification of risk factors are prerequisites ensure success project. In order improve research level China's project management, based on relevant journal literature expert interviews management projects, existing results su...

In this note, we define the concepts of admissible relation and admissible partition for an arbitrary BL-general fuzzy automaton.In particular, a connection between the admissible partition and the quotient BL-general fuzzy automaton is presented.It is shown that if we use the maximal admissible partition, then we obtain a quotient BL-general fuzzy automaton and this quotient is minimal. Finall...

Privacy preservation has become one of the top priorities in the design of various data mining applications. In this paper, a novel data distortion strategy based on structural partition and sparsified Singular Value Decomposition (SSVD) technique is proposed. Three schemes, object-based partition, feature-based partition and hybrid partition, are defined to permit a tradeoff between privacy pr...

In this paper, we introduce a new core concept for partition function games, to be called the strong-core, which reduces to the ordinary core if the worth of every coalition is independent of the partitions to which it belongs and the game is adequately represented by a characteristic function. It is nicely related to previous core concepts, but unlike them does not assume formation of a specif...