Two stages of halal food distribution model for perishable products are a mixed integer linear program (MILP) proposed to solve the problem food, especially products. The can simultaneously minimize overstock, shortage, transportation, and deterioration costs. is developed into two stages. first stage location-allocation determine cluster number suppliers in each cluster. second vehicle routing...

Although data mining is relative young technique, it has been used in a wide range of problem domains over the past few decades. In this paper, the authors present a new model to forecast the cultivated land demand adopts the technique of data mining. The new model which is called fuzzy Markov Chain model with weights ameliorate the traditional Time Homogeneous Finite Markov chain model to pred...

Multiple hypothesis testing and clustering have been the subject of extensive research in high-dimensional inference, yet these problems usually have been treated separately. By defining true clusters in terms of shared parameter values, we could improve the sensitivity of individual tests, because more data bearing on the same parameter values are available. We develop and evaluate a hybrid me...

conclusions disseminated bcg infection should be considered in the differential diagnosis of infants and young children with fever, hepatosplenomegaly, lymphadenopathy, and history of bcg vaccination. the pcr method has a high positivity rate and can serve as a useful tool for the rapid and specific identification of m. bovis bcg substrain infection. results from the total of 34 children hospit...

this paper presents a new formulation for warehouse inventory management in a stochastic situation. the primary source of this formulation is derived from fp model, which has been proposed by fletcher and ponnambalam for reservoir management. the new proposed mathematical model is based on the first and the second moments of storage as a stochastic variable. using this model, the expected value...

This paper presents a shape-based approach for automatic classification and retrieval of imaged objects. The shape-distance used in clustering is an intrinsic elastic metric on a nonlinear, infinite-dimensional shape space, obtained using geodesic lengths defined on the manifold. This analysis is landmark free, does not require embedding shapes in R, and uses ODEs for flows (as opposed to PDEs)...

Sensors have very scarce resources in terms of memory, energy and computational capacities. Wireless sensor network is composed of a large number of such sensor nodes densely deployed in inhospitable physical environments. Energy efficient information dissemination throughout such a network is still a challenge. Though dissemination of information with minimum energy consumption is a key concer...

Video transmission usually has stringent requirements on the network bandwidth, packet loss rate and the experienced delay. To better study the impact of layered video traffic on the network performance, accurate and tractable traffic model for layered video source is important. In this paper we propose a traffic model for scalable video encoded in multiple layers. The model is based on Markovi...

Measures taken to decrease interdependent risks within chemical industrial areas should be based on quantitative data from a holistic (cluster-based) point of view. Therefore, this paper examines the typology of networks representing industrial areas to formulate recommendations to more effectively protect a chemical cluster against existing systemic risks. Chemical industrial areas are modeled...

Phoslactomycins (PLMs), potent and selective inhibitors of serine threonine phosphatases, are of interest for their antitumor and antiviral activity. Multiple analogs and low titers in the fermentation process have hampered the development of this class of natural products. The entire 75-kb PLM biosynthetic gene cluster of Streptomyces sp. HK-803 was cloned, sequenced, and analyzed. The loading...