An evolutionary cultural-change approach to successful software process improvement

With a plethora of models, systems and standards to choose for a basis of software process improvement, decisions on which to adopt may depend on a number of factors. This paper presents an evolutionary and extremely cost effective approach to implementing a software quality system that requires minimum resource and little disruption to programme delivery. The method presented, achieved a 40% improvement in the level of implementation of the AWE plc software quality management system over a 5-year period. A critical success factor is the treatment of the users’ of the defined software quality system as customers, understanding their concerns and problems, and being responsive to them. The importance of a well designed system is highlighted together with the essential and extensive consultation process required to gain buy-in and lay the foundation for cultural change. This was supported with a helpful programme of facilitated self-assessment and sustained by a closely aligned training scheme. As a consequence some of the cultural elements were changed from one of thoughtless “tick-in-the-box” compliance to one of true understanding of the system requirements, true quality implementation, and subsequent added value.

Faster algorithms for computing Hong’s bound on absolute positiveness

We show how to compute Hong’s bound for the absolute positiveness of a polynomial in d$d$ variables with maximum degree δ$\delta$ in O(nlog^dn)$O\left(n{log}^{d}n\right)$ time, where n$n$ is the number of non-zero coefficients. For the univariate case, we give a linear time algorithm. As a consequence, the time bounds for the continued fraction algorithm for real root isolation improve by a factor of δ$\delta$.     

Bspline approximation of circle arc and straight line for pocket machining

This article proposes a new method of 2D curve interpolation using non-uniform cubic B-splines particularly adapted to the interpolation of sequences of straight lines and circle arcs. The purpose of this method is to calculate C2 continuous curves adapted to high feedrate pocket machining. Industrially machined pockets usually present simple forms. Generally, the tool path is defined by circle arcs and line segments that introduce slowdowns during machining. Thus, a method for approximating a sequence of line segments and circle arcs using Bspline curves is proposed. The proposed method ensures exact line interpolation, to approach the tool path precisely, to reduce the number of control points and to avoid thickening and oscillation at the connections between line segments and circle arcs. Various applications are presented and numerous tests on machine tools allow the advantages of this method to be illustrated.     

Evaluation of hyperspectral indices for LAI estimation and discrimination of potato crop under different irrigation treatments

In this study, various hyperspectral indices were evaluated for estimation of leaf area index (LAI) and crop discrimination under different irrigation treatments. The study was conducted for potato crop using the spectral reflectance values measured by a hand‐held spectro‐radiometer. Three categories of hyperspectral indices, such as ratio/difference indices, multivariate indices and derivative based indices were computed. It was found that, among various band combinations for NDVI (normalized difference vegetation index) and SAVI (soil adjusted vegetation index), the band combination of the 780～680, produced highest correlation coefficient with LAI. Among all the forms of LAI and VI empirical relationships, the power and exponential equations had highest R ² and F values. Analysis of variance showed that, hyperspectral indices were found to be more efficient than the LAI to detect the differences among crops under different irrigation treatments. The discriminant analysis produced a set of five most optimum bands to discriminate the crops under three irrigation treatments.     

Cell tracking in microscopic video using matching and linking of bipartite graphs

Automated visual tracking of cells from video microscopy has many important biomedical applications. In this paper, we track human monocyte cells in a fluorescent microscopic video using matching and linking of bipartite graphs. Tracking of cells over a pair of frames is modeled as a maximum cardinality minimum weight matching problem for a bipartite graph with a novel cost function. The tracking results are further refined using a rank-based filtering mechanism. Linking of cell trajectories over different frames are achieved through composition of bipartite matches. The proposed solution does not require any explicit motion model, is highly scalable, and, can effectively handle the entry and exit of cells. Our tracking accuracy of (97.97 ± 0.94)% is superior than several existing methods [(95.66 ± 2.39)% [11], (94.42 ± 2.08)% [20], (81.22 ± 5.75)% [13], (78.31 ± 4.70)% [14]] and is highly comparable (98.20 ± 1.22)% to a recently published algorithm [26].     

Relationship preserving multi-attribute reverse auction: A web-based experimental analysis

Repeated use of reverse auction often degrades the buyer–supplier relationship. Theoretical studies show that providing incentive to the losing but competing suppliers can keep them interested to participate in future auctions thereby maintaining a healthy level of competition. We conduct web-based experiments to validate this theoretical observation in multi-attribute reverse auctions. We compare incentive-oriented and standard multi-attribute reverse auctions and demonstrate that the results in the laboratory setting corroborate the theoretical findings. Adopting incentive-oriented mechanism, the buyer is able to provide better utility to suppliers while protecting her own. We conclude that such a mechanism can reduce the negative perception of the suppliers and help build better buyer–supplier relationship in the long run.     

Cognitive vertical handover engine for vehicular communication

Always best connected (ABC) communication is an essential requirement for intelligent transportation system. In this paper, we propose a cognitive vertical handover (CVHO) engine to ensure seamless connectivity on the move. Analytic hierarchy process and artificial neural network are used for the development of the algorithm and MATLAB is used as simulation platform. The CVHO engine, which is knowledge based context aware system, takes into account multiple relevant criteria and previous experiences. This system is capable of performing both voluntary and reflex actions. A detailed literature review is presented to compare this work with the conventional methods of vertical handover. A case study, considering the network selection in a typical highway traffic scenario, which consists of both peer-to-peer (P2P) and mobile networks, is presented for the validation of the design. Three radio access technologies, WLAN (P2P), UMTS and WiMAX (mobile networks), are considered for simulation. The results show that the presented model not only realistically optimizes the best available network on the move but also avoids unnecessary handovers. This algorithm is specific to vehicular communication system and hence variation in network selection with vehicle speed is shown.     

Advances towards high‐resolution pack‐and‐go displays: A survey

Abstract— Tiled displays provide high resolution and large scale simultaneously. Projectors can project on any available surface. Thus, it is possible to create a large high‐resolution display by simply tiling multiple projectors on any available regular surface. The tremendous advancement in projection technology has made projectors portable and affordable. One can envision displays made of multiple such projectors that can be packed in one's car trunk, carried from one location to another, deployed at each location easily to create a seamless high‐resolution display, and, finally, dismantled in minutes to be taken to the next location — essentially a pack‐and‐go display. Several challenges must be overcome in order to realize such pack‐and‐go displays. These include allowing for imperfect uncalibrated devices, uneven non‐diffused display surfaces, and a layman user via complete automation in deployment that requires no user invention. We described the advances we have made in addressing these challenges for the most common case of planar display surfaces. First, we present a technique to allow imperfect projectors. Next, we present a technique to allow a photometrically uncalibrated camera. Finally, we present a novel distributed architecture that renders critical display capabilities such as self‐calibration, scalability, and reconfigurability without any user intervention. These advances are important milestones towards the development of easy‐to‐use multi‐projector displays that can be deployed anywhere and by anyone.     

Radial scan of the molecular electrostatic potential of RNA double helices: an application to the enzyme-tRNA recognition

We introduced a method to characterize quantitatively the molecular electrostatic potential (MEP) of the minor and major grooves of base pairs located at nucleic acid double helices. By means of a radial MEP scan, we obtained a n-tuple of potential values corresponding to each groove, which can be analyzed by plotting the MEP values as a function of the angle in the radial scan. We studied base pairs of two different tRNAs, relevant in the recognition process with their cognate aminoacyl tRNA synthetases (aaRSs), in order to correlate their electrostatic behavior with the corresponding aminoacylation activity. We analyzed the first three base pairs of the Escherichia coli tRNA(Ala) acceptor stem, finding several cases where the MEP profiles obtained from the plots are in agreement with the reported aminoacylation activities. Additionally, a non-hierarchical clustering performed over the MEP n-tuples resulted in meaningful classifications that correlate with the activity and with the predicted stereochemistry of the reaction. We also studied the first two base pairs of the E. coli tRNA(Thr) acceptor stem but constraining the analysis to the angle intervals that seem relevant for the binding sites of the enzyme. These intervals were deduced from the ThrRS-tRNA(Thr) complex crystal structure. In this case, we also found a good agreement between the MEP profiles and the activity, supporting the idea that the tRNA identity elements function is to allow an optimal electrostatic complementarity between the aminoacyl-tRNA synthetase and the tRNA.     

Sectioning of multilayers to make a multilayer Laue lens

We report a process to fabricate multilayer Laue lenses (MLL's) by sectioning and thinning multilayer films. This method can produce a linear zone plate structure with a very large ratio of zone depth to width (e.g., >1000), orders of magnitude larger than can be attained with photolithography. Consequently, MLL's are advantageous for efficient nanofocusing of hard x rays. MLL structures prepared by the technique reported here have been tested at an x-ray energy of 19.5 keV, and a diffraction-limited performance was observed. The present article reports the fabrication techniques that were used to make the MLL's.