Dynamic Functional Unit Assignment for Low Power

A hardware method for functional unit assignment is presented, based on the principle that a functional unit's power consumption is approximated by the switching activity of its inputs. Since computing the Hamming distance of the inputs in hardware is expensive, only a portion of the inputs are examined. Integers often have many identical top bits, due to sign extension, and floating points often have many zeros in the least significant digits, due to the casting of integer values into floating point, and other reasons. The accuracy of these approximations is studied and the results are used to develop a simple, but effective, hardware scheme.     

What are developers talking about? An analysis of topics and trends in Stack Overflow

Programming question and answer (Q&A) websites, such as Stack Overflow, leverage the knowledge and expertise of users to provide answers to technical questions. Over time, these websites turn into repositories of software engineering knowledge. Such knowledge repositories can be invaluable for gaining insight into the use of specific technologies and the trends of developer discussions. Previous work has focused on analyzing the user activities or the social interactions in Q&A websites. However, analyzing the actual textual content of these websites can help the software engineering community to better understand the thoughts and needs of developers. In the article, we present a methodology to analyze the textual content of Stack Overflow discussions. We use latent Dirichlet allocation (LDA), a statistical topic modeling technique, to automatically discover the main topics present in developer discussions. We analyze these discovered topics, as well as their relationships and trends over time, to gain insights into the development community. Our analysis allows us to make a number of interesting observations, including: the topics of interest to developers range widely from jobs to version control systems to C# syntax; questions in some topics lead to discussions in other topics; and the topics gaining the most popularity over time are web development (especially jQuery), mobile applications (especially Android), Git, and MySQL.     

Use of essential oils and phytochemicals against the mycotoxins producing fungi for shelf-life enhancement and food preservation

Mycotoxin-producing fungi are a significant source of crop and food contamination, posing a significant threat to global food safety and security. Essential oils, plant extracts and phytochemicals have emerged as green preservatives to extend the shelf-life of foods due to their unique antimicrobial properties. Unlike conventional synthetic preservatives, they are a sustainable and safe way to preserve food with no or little harmful effects on the environment. Use of nanoformulations containing essential oils and phytochemicals offer enormous potential as a mitigation strategy to lower mycotoxin contamination incidences in food and crop with enhanced release behaviour to efficiently transport them to the target location for a rapid reaction without much impact from environmental variables. Hence, this review overviews various essential oils and phytochemicals utilized through nanoformulations to control the mycotoxigenic fungi, probable mechanism of actions involved as well as emerging mycotoxins and associated safety concerns to ensure food sustainability.     

Measures for e-business value assessment

Companies are investing heavily to leverage the Internet and transform their traditional businesses into e-businesses. Senior managers are increasingly under pressure to justify e-business costs. Do these investments pay off? And if so, how can a company make sure they keep paying off? Managers in successful companies struggle to articulate where benefits come from, and those without success strive to find a way to turn things around and cash in on e-business initiatives. We previously discussed results from an extensive survey about how eight key drivers affect a company's e-business success. Researchers from the Center for Research in Electronic Commerce at the McCombs School of Business, the University of Texas at Austin, conducted the survey to assess e-business value in small, medium, and large companies across the US and Europe. The study identified critical links between e-business drivers, operational excellence measures, and financial success measures. We describe these links in detail, showing that e-business initiatives improve operational excellence, which in turn improves financial performance     

MemSafe: ensuring the spatial and temporal memory safety of C at runtime

Memory access violations are a leading source of unreliability in C programs. As evidence of this problem, a variety of methods exist that retrofit C with software checks to detect memory errors at runtime. However, these methods generally suffer from one or more drawbacks including the inability to detect all errors, the use of incompatible metadata, the need for manual code modifications, and high runtime overheads. This paper presents a compiler analysis and transformation for ensuring the memory safety of C called MemSafe. MemSafe makes several novel contributions that improve upon previous work and lower the cost of safety. These include (i) a method for modeling temporal errors as spatial errors, (ii) a metadata representation that combines features of both object‐based and pointer‐based approaches, and (iii) a dataflow representation that simplifies optimizations for removing unneeded checks. MemSafe is capable of detecting real errors with lower overheads than previous efforts. Experimental results show that MemSafe detects all memory errors in six programs with known violations as well as two large and widely used open source applications. Finally, MemSafe ensures complete safety with an average overhead of 88% on 30 programs commonly used for evaluating the performance of error detection tools. Copyright © 2012 John Wiley & Sons, Ltd.     

Electrical resistivity and temperature coefficient of resistivity in gold-copper films

In situ measurements were carried out in order to study the electrical behaviour of gold-copper films (300–3000 Å) of various compositions in the temperature range 30–150°C. The experimental observations were correlated with the structural information obtained from an electron microscope study.     

Characterization of undoped μc-SiO:H films prepared from (SiH4+CO2+H2)-plasma in RF glow discharge

Undoped hydrogenated microcrystalline silicon oxygen alloy films (μc-SiO:H) have been prepared from (SiH₄+CO₂+H₂)-plasma in RF glow discharge at a high H₂ dilution, moderately high RF power and substrate temperature. A detailed characterization of the films has been done by electrical, optical as well as structural studies, e.g., IR absorption spectroscopy, Raman scattering and transmission electron microscopy. The presence of a very small amount of oxygen induces the crystallization process, which fails to sustain at a higher oxygen dilution. At higher deposition temperature and in improved μc-network H content reduces, however, O incorporation is favoured. Sharp crystallographic rings in the electron diffraction pattern identify several definite planes of c-Si and no such crystal planes from c-SiO_X is detected.     

Properties of a-SiO:H films prepared by RF glow discharge

Hydrogenated amorphous silicon oxygen alloy (a-SiO:H) films have been prepared by RF plasma enhanced chemical vapour deposition from (SiH₄+CO₂+H₂) gas mixture. Films have been characterized, in detail, by electrical, optical as well as structural studies. The effect of the oxygen incorporation into the Si-network was studied by controlling various deposition parameters e.g., CO₂ to SiH₄ flow ratio, H₂ dilution of the plasma, total flow rate of the reacting gases, RF power applied to the electrodes, working gas pressure in the plasma chamber and the substrate temperature. Optical gap of the films increased due to the incorporation of O, and a lowering in photoconductivity with optical gap widening was monitored. Increasing polyhydrogenation at higher O-content resulted in a rise in defect density. O-incorporation into the Si-network increased the light-induced degradation in photoconductivity.     

Investigation of time and weather effects on crash types using full Bayesian multivariate Poisson lognormal models

Previous research shows that various weather elements have significant effects on crash occurrence and risk; however, little is known about how these elements affect different crash types. Consequently, this study investigates the impact of weather elements and sudden extreme snow or rain weather changes on crash type. Multivariate models were used for seven crash types using five years of daily weather and crash data collected for the entire City of Edmonton. In addition, the yearly trend and random variation of parameters across the years were analyzed by using four different modeling formulations. The proposed models were estimated in a full Bayesian context via Markov Chain Monte Carlo simulation. The multivariate Poisson lognormal model with yearly varying coefficients provided the best fit for the data according to Deviance Information Criteria. Overall, results showed that temperature and snowfall were statistically significant with intuitive signs (crashes decrease with increasing temperature; crashes increase as snowfall intensity increases) for all crash types, while rainfall was mostly insignificant. Previous snow showed mixed results, being statistically significant and positively related to certain crash types, while negatively related or insignificant in other cases. Maximum wind gust speed was found mostly insignificant with a few exceptions that were positively related to crash type. Major snow or rain events following a dry weather condition were highly significant and positively related to three crash types: Follow-Too-Close, Stop-Sign-Violation, and Ran-Off-Road crashes. The day-of-the-week dummy variables were statistically significant, indicating a possible weekly variation in exposure. Transportation authorities might use the above results to improve road safety by providing drivers with information regarding the risk of certain crash types for a particular weather condition.