Supersymmetric contributions to the neutron electric dipole moment (EDM) are studied taking account of the flavor changing interactions. We found that the gluino contribution is sensitive to the flavor changing interaction. Enhancement of neutron EDM via flavor mixing effects is possible when the squark mass difference between the different generations is sizable. As an example, the results of ...

Electroconductive, homogeneous and dense ceramic/semiconductor/metal nanocomposites were obtained by hot press and subsequently machined by wire Electrical Discharge Machining (EDM). The addition of semiconductor and metal phases to a highperformance ceramic material produces nanocomposites which preserve the excellent mechanical properties of the ceramic/metal material while reaching the elect...

One of the challenging problems in collaborative position localization arises when the distance measurements contain Non-Line-Of-Sight (NLOS) biases. Convex optimization has played a major role in modelling such problems and numerical algorithm developments. One of the successful examples is the Semi-Definite Programming (SDP), which translates Euclidean distances into the constraints of positi...

This paper describes algorithms and software for decomposing CAD models for a new mold manufacturing process called WirePATHe, which uses wire electrical discharge machining (EDM) to reduce mold fabrication time. A decomposition strategy has been developed to account for the limitations of wire EDM. During decomposition, CAD models are separated into manufacturable segments and then layered if ...

Surface roughness is the main indicator of technological performances of a component for electrical discharge machining (EDM). EDM process of manganese alloyed cold-work tool steel was modelled. In this paper we used the fuzzy logic (FL) and neural network (NN) to predict the effect of machining variables (discharge current and pulse duration) on the surface roughness of manganese alloyed cold-...

The performance of electrical discharge machining (EDM) is dependent on the selection of factor/levels combinations of input parameters. The optimization of EDM process is a multi-objective optimization problem on account of the contradictory behaviour of performance measures like metal removal rate and surface roughness (MRR, SR). Many optimization technique are used for the parametric optimiz...

Euclidean distance embedding appears in many high-profile applications including wireless sensor network localization, where not all pairwise distances among sensors are known or accurate. The classical Multi-Dimensional Scaling (cMDS) generally works well when the partial or contaminated Euclidean Distance Matrix (EDM) is close to the true EDM, but otherwise performs poorly. A natural step pre...

For a connected graph G of order at least two, a path P is called a monophonic path if it is a chordless path. A longest x−y monophonic path is called an x − y detour monophonic path. A set S of vertices of G is an edge detour monophonic set of G if every edge of G lies on a detour monophonic path joining some pair of vertices in S. The edge detour monophonic number of G is the minimum cardinal...

Electrical Discharge Machining performance is generally evaluated on the basis of Material Removal Rate (MRR), Tool Wear Rate (TWR), Relative Wear Ratio (RWR) and Surface Roughness (SR). The important EDM machining parameters affecting to the performance measures of the process are discharge current, pulse on time, pulse off time, arc gap, and duty cycle [9]. A considerable amount of work has b...