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PurposeAims to describe design, prototyping and characteristics of a pole climbing/manipulating robot with ability of passing bends and branches of the pole.Design/methodology/approachIntroducing a hybrid (parallel/serial) four degree of freedom (DOF) mechanism as the main part of the robot and also introduces a unique gripper design for pole climbing robots.FindingsFinds that a robot, with the ability of climbing and manipulating on poles with bends and branches, needs at least 4 DOFs. Also an electrical cylinder is a good option for climbing robots and has some advantages over pneumatic or hydraulic cylinders.Research limitations/implicationsThe robot is semi‐industrial size. Design and manufacturing of an industrial size robot are a good suggestion for future works.Practical implicationsWith some changes on the gripper module and the last tool module, the robot is able to do some service works like pipe testing, pipe/pole cleaning, light bulb changing in highways etc.Originality/valueDesign and manufacturing of a pole‐climbing and manipulating robot with minimum DOFs for construction and service works.

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In this paper we introduce the Cognitive Compressive Sensing (CCS) problem, modeling a Cognitive Receiver (CR) that optimizes the projections of a dimensional vector dynamically, by optimizing the objective of correctly detecting the maximum number of idle entries, while updating each time its Bayesian beliefs on the future vector realizations. We formulate and study the CCS as a Restless Multi-Armed Bandit problem, generalizing the popular Cognitive Spectrum Sensing model, in which the CR can sense out of the sub-channels and propose a novel adaptive Finite Rate of Innovation (FRI) sampling method based on the CCS approach. While in general the optimum policy remains elusive, we provide sufficient conditions in which in the limit for large and the greedy policy is optimum. Numerical results corroborate our theoretical findings.

A broadband, low-crosstalk, mode-selective add-drop multiplexer using quasi phase-matching and staged coupling is presented. This ultra-compact device can be used to enable mode-division multiplexing for further increasing the aggregate bandwidth of on-chip optical interconnects.

The concept of three-dimensional (3D) resolvability of an integral imaging system is thoroughly investigated in this research. The general concept of 3D resolution fails to describe the 3D discrimination completely. Then the concepts of the depth-resolution plane and lateral-resolution plane are introduced to show the difference between the conventional 3D spatial resolution and the newly introduced 3D resolvability. Therefore, the different properties of these planes for differentiating lateral spatial variations and axial variations are analyzed in this paper. The theoretical statements are demonstrated experimentally.

This article examines and proposes several attribution models that quantify how revenue should be attributed to online advertising inputs. We adopt and further develop relative importance methods, which are based on regression models that have been extensively studied and utilized to investigate the relationship between advertising efforts and market reaction (revenue). The relative importance methods aim at decomposing and allocating marginal contributions to the coefficient of determination ( R2) of the regression models as attribution values. In particular, we adopt two alternative submethods to perform this decomposition: dominance analysis and relative weight analysis. Moreover, we demonstrate an extension of the decomposition methods from standard linear models to additive models. We claim that our new approaches are more flexible and accurate in modeling the underlying relationship and quantifying the attribution values. We use simulation examples to demonstrate the superior performance of our new approaches to traditional methods. We further illustrate the value of our proposed approaches using a real advertising campaign data set.

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