Barriers to industrial energy efficiency: a literature review

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Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild

In this paper, we seek to better understand Android obfuscation and depict a holistic view of the usage of obfuscation through a large-scale investigation in the wild. In particular, we focus on four popular obfuscation approaches: identifier renaming, string encryption, Java reflection, and packing. To obtain the meaningful statistical results, we designed efficient and lightweight detection models for each obfuscation technique and applied them to our massive APK datasets (collected from Google Play, multiple third-party markets, and malware databases). We have learned several interesting facts from the result. For example, malware authors use string encryption more frequently, and more apps on third-party markets than Google Play are packed. We are also interested in the explanation of each finding. Therefore we carry out in-depth code analysis on some Android apps after sampling. We believe our study will help developers select the most suitable obfuscation approach, and in the meantime help researchers improve code analysis systems in the right direction

Virtuous and Adverse Selection within Economic Organizations

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Recruitment Market Trend Analysis with Sequential Latent Variable Models

Recruitment market analysis provides valuable understanding of industry-specific economic growth and plays an important role for both employers and job seekers. With the rapid development of online recruitment services, massive recruitment data have been accumulated and enable a new paradigm for recruitment market analysis. However, traditional methods for recruitment market analysis largely rely on the knowledge of domain experts and classic statistical models, which are usually too general to model large-scale dynamic recruitment data, and have difficulties to capture the fine-grained market trends. To this end, in this paper, we propose a new research paradigm for recruitment market analysis by leveraging unsupervised learning techniques for automatically discovering recruitment market trends based on large-scale recruitment data. Specifically, we develop a novel sequential latent variable model, named MTLVM, which is designed for capturing the sequential dependencies of corporate recruitment states and is able to automatically learn the latent recruitment topics within a Bayesian generative framework. In particular, to capture the variability of recruitment topics over time, we design hierarchical dirichlet processes for MTLVM. These processes allow to dynamically generate the evolving recruitment topics. Finally, we implement a prototype system to empirically evaluate our approach based on real-world recruitment data in China. Indeed, by visualizing the results from MTLVM, we can successfully reveal many interesting findings, such as the popularity of LBS related jobs reached the peak in the 2nd half of 2014, and decreased in 2015.Comment: 11 pages, 30 figure, SIGKDD 201

Reflections on Multiple Perspective Problem Framing

The researchers have developed a system of value innovation modelling founded on the application of a multiple perspective problem framing theory (English 2008). This approach has been used to map the attributes of 43 businesses in order to reveal untapped value in these organisations, as described in a previous paper (2010). The system considers both the attributes of a company and the experience of the researchers as parameters in a design problem. This paper aims to show how the process can reveal value by taking the reader through a step-by-step guide, incorporating case studies to demonstrate the relationship between concepts and the development of the researcher’s awareness. An integrated mapping activity provides a clear overview of the company and describes relationships between technology, intellectual property and commercialisation. This mapping process is used to reveal patterns and disharmonies, enabling the researchers to identify gaps and make connections that can lead to new business opportunities. This paper describes the mapping process in detail and the researchers reflect on the way that insights have been revealed through their development of new perspectives on each company