While recent Machine Learning (ML) based techniques for activity recognition show great promise, there remain a number of questions with respect to the relative merits of these techniques. To provide a better understanding of the relative strengths of contemporary Activity Recognition methods, in this paper we present a comparative analysis of Hidden Markov Model, Bayesian, and Support Vector M...

The influence of commuting in socio-­‐economic dynamics increases constantly. Analysing and modelling the networks formed by commuters to help decision-­‐making regarding the land-­‐use has become crucial. This paper presents a simple spatial interaction simulated model with only one parameter. The proposed algorithm considers each individual who wants to commute, starting from their living pla...

Parliamentary democracies represent a common type of governance structure in numerous countries. While details vary from one country to another, the structure of a parliamentary democracy entails having cabinet ministers who each have a specific portfolio of policy interests, such as healthcare, industry, or education. A set of ministers forms a government, and such governments can change due t...

This paper considers the problem of improving the efficiency and scalability of current monitoring systems, which generally follow a centralised and static management model. Several alternative solutions based on Mobile Agents (MAs), specifically tailored to network monitoring are described. In particular, the key problem of computing efficiently the initial number and location of MAs is addres...

introduction as a tumor grows, the demand for oxygen and nutrients increases and it grows further if acquires the ability to induce angiogenesis. in this study, we aimed to present a two-dimensional continuous mathematical model for avascular tumor growth, coupled with a discrete model of angiogenesis. materials and methods in the avascular growth model, tumor is considered as a single mass, wh...

background the present study was conducted to perceive the role-model nursing instructors’ experience in terms of professional challenges and identification of occupational concerns in the education of nursing students. nursing instructors have a critical and decisive role in the training of skilled and specialized manpower and subsequent growth and development of the communities. so, the prese...

A class of audio-visual content is segmented into dialogue scenes using the state transitions of a novel hidden Markov model (HMM). Each shot is classi ed using both audio track and visual content to determine the state/scene transitions of the model. After simulations with circular and left-to-right HMM topologies, it is observed that both are performing very good with multi-modal inputs. More...

This paper presents a novel approach for fraud detection in mobile phone networks by using a combination of Possibilistic Fuzzy C-Means clustering and Hidden Markov Model (HMM). The clustering technique is first applied on two calling features extracted from the past call records of a subscriber generating a behavioral profile for the user. The HMM parameters are computed from the profile, whic...

with regard to competitive advantage complexity and specific characteristics of high tech industries, in this research by a cognitive mapping methodology we develop a qualitative model for interpreting the competitive advantage in company level for high tech industries. in first, after describing the research problem, we present a comparative review of four recent theories of firm and competiti...