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Journal articles on the topic 'Binary instrumentation'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Pan, Heidi, Krste Asanović, Robert Cohn, and Chi-Keung Luk. "Controlling program execution through binary instrumentation." ACM SIGARCH Computer Architecture News 33, no. 5 (2005): 45–50. http://dx.doi.org/10.1145/1127577.1127587.

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2

Sridhar, Meera, Richard Wartell, and Kevin W. Hamlen. "Hippocratic binary instrumentation: First do no harm." Science of Computer Programming 93 (November 2014): 110–24. http://dx.doi.org/10.1016/j.scico.2014.02.024.

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3

Roy, Amitabha, Steven Hand, and Tim Harris. "Hybrid binary rewriting for memory access instrumentation." ACM SIGPLAN Notices 46, no. 7 (2011): 227–38. http://dx.doi.org/10.1145/2007477.1952711.

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4

Feiner, Peter, Angela Demke Brown, and Ashvin Goel. "Comprehensive kernel instrumentation via dynamic binary translation." ACM SIGARCH Computer Architecture News 40, no. 1 (2012): 135–46. http://dx.doi.org/10.1145/2189750.2150992.

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5

POPA, Marius, and Sergiu Marin CAPISIZU. "Using Binary Code Instrumentation in Computer Security." Informatica Economica 17, no. 4/2013 (2013): 47–63. http://dx.doi.org/10.12948/issn14531305/17.4.2013.05.

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6

Feiner, Peter, Angela Demke Brown, and Ashvin Goel. "Comprehensive kernel instrumentation via dynamic binary translation." ACM SIGPLAN Notices 47, no. 4 (2012): 135–46. http://dx.doi.org/10.1145/2248487.2150992.

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7

Zhang, Mingwei, Rui Qiao, Niranjan Hasabnis, and R. Sekar. "A platform for secure static binary instrumentation." ACM SIGPLAN Notices 49, no. 7 (2014): 129–40. http://dx.doi.org/10.1145/2674025.2576208.

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8

Rodriguez, Ricardo J., Juan Antonio Artal, and Jose Merseguer. "Performance Evaluation of Dynamic Binary Instrumentation Frameworks." IEEE Latin America Transactions 12, no. 8 (2014): 1572–80. http://dx.doi.org/10.1109/tla.2014.7014530.

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9

Levchenko, A. V., and S. A. Fyodorov. "Dynamic Binary Instrumentation Tool for Data Locality Analysis." St. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems. 236, no. 1 (2016): 53–64. http://dx.doi.org/10.5862/jcstcs.236.6.

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10

Schulz, Martin, Dong Ahn, Andrew Bernat, et al. "Scalable dynamic binary instrumentation for Blue Gene/L." ACM SIGARCH Computer Architecture News 33, no. 5 (2005): 9–14. http://dx.doi.org/10.1145/1127577.1127581.

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11

Gorshkov, Anton V., Michael Berezalsky, Julia Fedorova, Konstantin Levit-Gurevich, and Noam Itzhaki. "GPU Instruction Hotspots Detection Based on Binary Instrumentation Approach." IEEE Transactions on Computers 68, no. 8 (2019): 1213–24. http://dx.doi.org/10.1109/tc.2019.2896628.

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12

Laurenzano, Michael A., Joshua Peraza, Laura Carrington, Ananta Tiwari, William A. Ward, and Roy Campbell. "PEBIL: binary instrumentation for practical data-intensive program analysis." Cluster Computing 18, no. 1 (2013): 1–14. http://dx.doi.org/10.1007/s10586-013-0307-2.

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13

Lee, Dongwoo, Inhyuk Kim, Jeehong Kim, et al. "Light-weight kernel instrumentation framework using dynamic binary translation." Journal of Supercomputing 66, no. 3 (2013): 1613–28. http://dx.doi.org/10.1007/s11227-013-0954-3.

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14

Lee, Gregory L., Martin Schulz, Dong H. Ahn, et al. "Dynamic Binary Instrumentation and Data Aggregation on Large Scale Systems." International Journal of Parallel Programming 35, no. 3 (2007): 207–32. http://dx.doi.org/10.1007/s10766-007-0036-3.

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15

Sullivan, D. J., M. Walkington, and E. Budding. "Scanner observations of some close binary systems." Symposium - International Astronomical Union 118 (1986): 261–63. http://dx.doi.org/10.1017/s0074180900151435.

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Using our intermediate bandwidth photometric scanner, we have obtained light curve data at a range of spectral intervals for a number of close eclipsing binary systems. This paper reports briefly on the instrumentation system, the data obtained for two of the variables AE Phe and ε CrA, and a preliminary modelling of the light curves.

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16

Ivanov, V. D. "Time-Domain Instrumentation at ESO." Proceedings of the International Astronomical Union 14, S339 (2017): 172–75. http://dx.doi.org/10.1017/s1743921318002508.

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AbstractOver the years the European Southern Observatory (ESO) has offered a number of time-domain instruments that enable the user to achieve time resolution as small as milliseconds. They have been used for a wide range of applications, from binary studies with Lunar occultations, characterisation of X-ray binaries and exoplanet transits, to quasar variability. Furthermore, ESO provides a target-of-opportunity (ToO) rapid-response-mode (RRM) channel to trigger quick follow-up observations within as little delay as minutes after a transient has been detected. This talk reviewed the available time-domain observing modes and instruments at ESO, giving priority to FORS2, HAWKI and UltraCam. It described the ToO and RRM, and gave examples of the most common science cases that take advantage of those channels and capabilities.

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17

Pan, Jiaye, Yi Zhuang, and Binglin Sun. "BAHK: Flexible Automated Binary Analysis Method with the Assistance of Hardware and System Kernel." Security and Communication Networks 2020 (January 16, 2020): 1–19. http://dx.doi.org/10.1155/2020/8702017.

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To protect core functions, applications often utilize the countermeasure techniques such as antidebugging to avoid analysis by outsiders, especially the malware. Dynamic binary instrumentation is commonly used in the analysis of binary programs. However, it can be easily detected and has stability and applicability problems as it involves program rewriting and just-in-time compilation. This paper proposes a new lightweight analysis method for binary programs with the assistance of hardware features and the operating system kernel, named BAHK, which can automatically analyze the target program by stealth and has wide applicability. With the support of underlying infrastructures, this paper designs several optimization strategies and specific analysis approaches at instruction level to reduce the impact of fine-grained analysis on the performance of target program so that it can be well applied in practice. The experimental results show that the proposed method has good stealthiness, low memory consumption, and positive user experience. In some cases, it shows better analysis performance than the traditional dynamic binary instrumentation method. Finally, the real case studies further show its feasibility and effectiveness.

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18

Ermakov, M. K. "Dynamic Analysis of ARM ELF Executable Code Using Static Binary Instrumentation." St. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems. 236, no. 1 (2016): 108–17. http://dx.doi.org/10.5862/jcstcs.236.10.

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19

Mi, Xianya, Baosheng Wang, Yong Tang, Pengfei Wang, and Bo Yu. "SHFuzz: Selective Hybrid Fuzzing with Branch Scheduling Based on Binary Instrumentation." Applied Sciences 10, no. 16 (2020): 5449. http://dx.doi.org/10.3390/app10165449.

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Hybrid fuzzing is a popular software testing technique that combines random fuzzing with concolic execution. It is widely used in the security domain known for its ability to find deeply hidden vulnerabilities and reach high code coverage. Hybrid fuzzing is based on negating branches in the execution path of a specific input to generate new test cases. However, due to numerous inputs and related branches, it does not show the best of its effectiveness without input and branch selection methods. In this paper, we systematically analyze the branch scheduling problem in the internal attributes of hybrid fuzzing, focusing on the synchronization mechanism. To solve the problems, we propose the Selective Hybrid Fuzzing (SHF) approach with branch scheduling based on binary instrumentation. There are two major parts to the SHF approach: (1) we propose a critical branch selection algorithm to select critical branches by three metrics: hit accuracy, solvability, and complexity; (2) we propose a priority score calculation algorithm to select inputs by the number of critical branches. With the SHF approach, we choose only the branches that can be negated to generate new coverage, instead of repeatedly executing the same branches and generating duplicates of inputs. We implement a hybrid fuzzer called SHFuzz with our SHF approach and compare it with the state-of-the-art hybrid fuzzer QSYM. In the evaluation, SHFuzz outperforms QSYM in 20 real-world applications from the Google Fuzzer Test Suite and other program suites in a 12 h test. On average, SHFuzz achieves 8.40% more code coverage and 100 more unique crashes in each application. Our work also finds existing vulnerabilities 7.85× faster than QSYM. We also find new bugs by SHFuzz, which QSYM fails to find. Our evaluation shows that the selective hybrid fuzzing approach can reduce the number of branches executed in concolic execution, enhancing hybrid fuzzing on code coverage and bug finding capabilities.

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20

Ermakov, M. K., and S. P. Vartanov. "Dynamic analysis of ARM ELF shared libraries using static binary instrumentation." Proceedings of the Institute for System Programming of the RAS 27, no. 1 (2015): 5–24. http://dx.doi.org/10.15514/ispras-2015-27(1)-1.

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21

Gandole, Y. B., Shrikrishna Pandurangji Yawale, and Sangita Shrikrishna Yawale. "Ultrasonic Study on Binary Organic Liquid Mixtures by Using Virtual Instrumentation." i-manager's Journal on Future Engineering and Technology 5, no. 3 (2010): 43–48. http://dx.doi.org/10.26634/jfet.5.3.1143.

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22

Pan, Jiaye, Zhuang Yi, Zhao Xue-Jian, and Binglin Sun. "Lightweight and Efficient Hypervisor-Based Dynamic Binary Instrumentation and Analysis Method." IEEE Access 8 (2020): 164593–610. http://dx.doi.org/10.1109/access.2020.3021463.

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23

Al-Wardat, M. A., Yu Yu Balega, V. V. Leushin, et al. "Speckle interferometric binary system HD375; Is it a sub-giant binary?" Astrophysical Bulletin 69, no. 1 (2014): 58–66. http://dx.doi.org/10.1134/s1990341314010064.

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24

Fu, Guangkai, Yiping Cao, Yapin Wang, Yingying Wan, Lu Wang, and Chengmeng Li. "Three-dimensional shape measurement based on binary fringe conventional projection." Transactions of the Institute of Measurement and Control 41, no. 14 (2019): 4073–83. http://dx.doi.org/10.1177/0142331219848029.

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A three-dimensional (3D) shape measurement method based on binary fringe conventional projection is proposed. In traditional 3D shape measurement methods based on binary fringe projection, the binary fringe is used as an approximate sinusoidal fringe by defocusing projection or even directly used as an approximate sinusoidal fringe by nonlinear error suppression feature of large-step phase measuring profilometry (PMP). In the proposed method (Prop), neither defocusing projection is needed nor large-step PMP must be used. When the binary fringe is conventionally projected on the measured object, just by filtering operation in spatial frequency domain from the captured deformed pattern, the nearly unbroken sinusoidal deformed pattern can be extracted efficiently. While N ( N≥3) frames binary fringes with 1/ N period misalignment between each adjacent fringe are conventionally projected onto the measured object sequentially, the corresponding nearly unbroken N-step sinusoidal deformed patterns extracted from the N frames captured deformed patterns can be used to reconstruct the 3D shape of the measured object with N-step PMP algorithm. The experimental results show the feasibility and validity of the Prop. It is more flexible for its optional fringe period and optional phase-shifting steps. It has potential application in the real-time 3D shape measurement.

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25

O'Leary, Colum M., Emanuela Liberti, Sean M. Collins, et al. "Electron Ptychography Using Fast Binary 4D STEM Data." Microscopy and Microanalysis 25, S2 (2019): 1662–63. http://dx.doi.org/10.1017/s1431927619009048.

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26

Mendis, B. G. "Suzuki segregation in a binary Cu-Si alloy." Journal of Electron Microscopy 53, no. 4 (2004): 311–23. http://dx.doi.org/10.1093/jmicro/dfh045.

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27

Maurya, Sandeep Kumar, Dhiman Das, and Debabrata Goswami. "Probing Intermolecular Interactions in Binary Liquid Mixtures Using Femtosecond Laser-Induced Self-Defocusing." Applied Spectroscopy 70, no. 10 (2016): 1655–61. http://dx.doi.org/10.1177/0003702816643547.

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Photothermal behavior of binary liquid mixtures has been studied using a high repetition rate (HRR) Z-scan technique with femtosecond laser pulses. Changes in the peak–valley difference in transmittance (ΔTP–V) for closed aperture Z-scan experiments are indicative of thermal effects induced by HRR femtosecond laser pulses. We show such indicative results can have a far-reaching impact on molecular properties and intermolecular interactions in binary liquid mixtures. Spectroscopic parameters derived from this experimental technique show that the combined effect of physical and molecular properties of the constituent binary liquids can be related to the components of the binary liquid.

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28

Truong, Hong-Linh, and Thomas Fahringer. "SCALEA-G: A Unified Monitoring and Performance Analysis System for the Grid." Scientific Programming 12, no. 4 (2004): 225–37. http://dx.doi.org/10.1155/2004/543965.

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This paper describes SCALEA-G, a unified monitoring and performance analysis system for the Grid. SCALEA-G is implemented as a set of grid services based on the Open Grid Services Architecture (OGSA). SCALEA-G provides an infrastructure for conducting online monitoring and performance analysis of a variety of Grid services including computational and network resources, and Grid applications. Both push and pull models are supported, providing flexible and scalable monitoring and performance analysis. Source code and dynamic instrumentation are implemented to perform profiling and monitoring of Grid applications. A novel instrumentation request language for dynamic instrumentation and a standardized intermediate representation for binary code have been developed to facilitate the interaction between client and instrumentation services.

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29

KIM, Hyung Chan, Tatsunori ORII, Katsunari YOSHIOKA, et al. "An Empirical Evaluation of an Unpacking Method Implemented with Dynamic Binary Instrumentation." IEICE Transactions on Information and Systems E94-D, no. 9 (2011): 1778–91. http://dx.doi.org/10.1587/transinf.e94.d.1778.

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30

Kim, Dongwoo, Sangwho Kim, and Jaecheol Ryou. "Design and implementation of user-level dynamic binary instrumentation on ARM architecture." Journal of Supercomputing 74, no. 8 (2016): 3583–95. http://dx.doi.org/10.1007/s11227-016-1777-9.

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31

Rehrauer, Owen G., Vu C. Dinh, Bharat R. Mankani, Gregery T. Buzzard, Bradley J. Lucier, and Dor Ben-Amotz. "Binary Complementary Filters for Compressive Raman Spectroscopy." Applied Spectroscopy 72, no. 1 (2017): 69–78. http://dx.doi.org/10.1177/0003702817732324.

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The previously described optimized binary compressive detection (OB-CD) strategy enables fast hyperspectral Raman (and fluorescence) spectroscopic analysis of systems containing two or more chemical components. However, each OB-CD filter collects only a fraction of the scattered photons and the remainder of the photons are lost. Here, we present a refinement of OB-CD, the OB-CD2 strategy, in which all of the collected Raman photons are detected using a pair of complementary binary optical filters that direct photons of different colors to two photon counting detectors. The OB-CD2 filters are generated using a new optimization algorithm described in this work and implemented using a holographic volume diffraction grating and a digital micromirror device (DMD) whose mirrors are programed to selectively direct photons of different colors either to one or the other photon-counting detector. When applied to pairs of pure liquids or two-component solid powder mixtures, the resulting OB-CD2 strategy is shown to more accurately estimate Raman scattering rates of each chemical component, when compared to the original OB-CD, thus facilitating chemical classification at speeds as fast as 3 μs per measurement and the collection of Raman images in under a second.

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32

Carpenter, P., and J. Armstrong. "Analyzing Mg and Fe in Olivines, Pyroxenes, and Garnets: Systematic Discrepancies." Microscopy and Microanalysis 4, S2 (1998): 224–25. http://dx.doi.org/10.1017/s1431927600021243.

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Quantitative analysis of Mg and Fe in olivines, pyroxenes, and garnets is important for geochemical studies. Natural olivines have compositions close to the forsterite (Mg2SiO4) and fayalite (Fe2SiO4) binary system, with relatively minor substitution of other components. Pyroxenes and garnets are problematic in that they exhibit more diverse solid solution, and may contain both Fe2+ and Fe3+, the relative concentrations of which cannot be directly measured with the microprobe. The forsterite-fayalite olivine binary is a convenient system for studying the accuracy of Mg and Fe analysis without other complicating factors.Bence and Albee utilized the a-factor approach for quantitative analysis of silicates, based on the empirical observation:where CA,AB is the weight fraction of the oxide A in a binary oxide system AB, and KA,AB is the measured x-ray intensity of A relative to that of the pure oxide A.

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33

Eskelinen, Pekka, Jukka Ruoskanen, and Jouni Peltonen. "Microcontroller-based binary integrator for millimeter-wave radar experiments." Review of Scientific Instruments 81, no. 5 (2010): 054704. http://dx.doi.org/10.1063/1.3424852.

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34

Carpenter, P., and S. D. Cobb. "Application of Alpha-Factor and Monte Carlo Methods to Epma in the System Ge-Si." Microscopy and Microanalysis 7, S2 (2001): 682–83. http://dx.doi.org/10.1017/s1431927600029482.

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Terrestrial experiments involving detached growth of GeSi crystals by the Bridgman technique have been performed in preparation for microgravity experiments to be conducted on the International Space Station. These experiments typically produce large GeSi crystals that are sectioned for microscopy, microprobe analysis, and electron-backscatter diffraction analysis. Accurate microanalysis of these crystals is essential for feedback to further growth experiments, but is problematic as the Ge-Si binary exhibits continuous solid solution and it is therefore difficult to prepare homogeneous intermediate standards. There are no experimental measurements on standards of known composition in the Ge-Si binary that could be used to evaluate analytical accuracy. The accuracy of analysis in mineral, oxide, and semiconductor systems has previously been studied using experimental x-ray intensity measurements, correction algorithms and their derived α-factors, and mass absorption coefficient data sets. This study continues that approach and includes results of Monte Carlo calculations in the Ge-Si binary.

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35

Gurzadyan, G. A. "Binary globular clusters." New Astronomy 5, no. 6 (2000): 349–60. http://dx.doi.org/10.1016/s1384-1076(00)00028-2.

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36

Allen, Geoffrey C., and Nigel R. Holmes. "Characterization of Binary Uranium Oxides by Infrared Spectroscopy." Applied Spectroscopy 48, no. 4 (1994): 525–30. http://dx.doi.org/10.1366/000370294775268893.

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In this study transmission infrared spectra were recorded for 15 uranium oxides previously characterized by X-ray diffraction. The infrared spectra obtained demonstrated that all the uranium oxides studied could be distinguished, even for the closely similar structures of UO2 and U4O9. The infrared studies of U4O9 near the temperature of the α-U4O9 to β-U4O9 phase transition showed that an absorption at 670 cm−1 could be related to the ordering of oxygen interstitials in the fluorite lattice. A similar absorption was observed for β-U3O7 but was found to be absent in α-U3O7. The local coordination of oxygen/metal clusters in β-U4O9 and β-U3O7 appeared to be similar.

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37

Li, Bing, Qiu-Rong Yan, Yi-Fan Wang, Yi-Bing Yang, and Yu-Hao Wang. "A binary sampling Res2net reconstruction network for single-pixel imaging." Review of Scientific Instruments 91, no. 3 (2020): 033709. http://dx.doi.org/10.1063/1.5137817.

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38

Riss, Joëlle, Sylvie Gentier, Katia Laffréchine, Rock Flamand, and Guy Archambault. "Binary Images of Sheared Rock Joints: Characterization of Damaged Zones." Microscopy Microanalysis Microstructures 7, no. 5-6 (1996): 521–26. http://dx.doi.org/10.1051/mmm:1996153.

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39

Das, Abhijit, and B. R. Boruah. "Optical sectioning microscope with a binary hologram based beam scanning." Review of Scientific Instruments 82, no. 4 (2011): 043702. http://dx.doi.org/10.1063/1.3574796.

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40

Harba, M. I. A. "A generalised algorithm for polarity correlation estimation using binary patterns." Transactions of the Institute of Measurement and Control 14, no. 4 (1992): 212–22. http://dx.doi.org/10.1177/014233129201400406.

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41

Cussans, D. G., J. A. Jacob, and D. M. Newbold. "Tests with the CMS Binary Chip (CBC)." Journal of Instrumentation 7, no. 03 (2012): C03016. http://dx.doi.org/10.1088/1748-0221/7/03/c03016.

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42

Kozubovskii, V. R., and A. A. Bulyga. "Reference interferometer for certifying binary gas mixtures." Measurement Techniques 35, no. 11 (1992): 1347–50. http://dx.doi.org/10.1007/bf01821929.

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43

Lançon, F., and L. Billard. "Binary tilings and quasi-quasicrystalline tilings." Phase Transitions 44, no. 1-3 (1993): 37–46. http://dx.doi.org/10.1080/01411599308210254.

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44

Berg, Rolf W., Susanne Brunsgaard Hansen, Alexander A. Shapiro, and Erling H. Stenby. "Diffusion Measurements in Binary Liquid Mixtures by Raman Spectroscopy." Applied Spectroscopy 61, no. 4 (2007): 367–73. http://dx.doi.org/10.1366/000370207780466316.

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45

Sigmund, Peter, and Andreas Schinner. "Binary theory of electronic stopping." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 195, no. 1-2 (2002): 64–90. http://dx.doi.org/10.1016/s0168-583x(01)01162-4.

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46

Rai, Km Nitu, Soumen Basak, and Prasenjit Saha. "Radius measurement in binary stars: simulations of intensity interferometry." Monthly Notices of the Royal Astronomical Society 507, no. 2 (2021): 2813–24. http://dx.doi.org/10.1093/mnras/stab2391.

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ABSTRACT Mass and radius measurements of stars are important inputs for models of stellar structure. Binary stars are of particular interest in this regard, because astrometry and spectroscopy of a binary together provide the masses of both stars as well as the distance to the system, while interferometry can both improve the astrometry and measure the radii of the stars. In this work, we simulate parameter recovery from intensity interferometry, especially the challenge of disentangling the radii of two stars from their combined interferometric signal. Two approaches are considered: separation of the visibility contributions of each star with the help of differing brightness ratios at different wavelengths, and direct fitting of the intensity correlation to a multiparameter model. Full image reconstructions is not attempted. Measurement of angular radii, angular separation, and first-order limb-darkening appears readily achievable for bright binary stars with current instrumentation.

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47

Acree, William E., Denise C. Wilkins, and Sheryl A. Tucker. "Spectrofluorometric Probe Method for Examining Preferential Solvation in Binary Solvent Mixtures." Applied Spectroscopy 47, no. 8 (1993): 1171–74. http://dx.doi.org/10.1366/0003702934067900.

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A spectrofluorometric method is developed to examine preferential solvation of a probe molecule dissolved in binary solvent mixtures. The method assumes that the solvational sphere around every fluorophore is solvated by only one type of solvent component and that each solvated fluorophore contributes to the measured emission intensity. Expressions derived from the model are illustrated with the use of observed fluorescence emission behavior of 3,4-dihydrobenzo[ghilperylene dissolved in binary n-heptane + 1,4-dioxane and dibutyl ether + acetonitrile solvent mixtures, which were measured as part of the present study.

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48

van den Brom, Helko E., Ernest Houtzager, Gert Rietveld, Roland van Bemmelen, and Oleg Chevtchenko. "Voltage linearity measurements using a binary Josephson system." Measurement Science and Technology 18, no. 11 (2007): 3316–20. http://dx.doi.org/10.1088/0957-0233/18/11/008.

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49

Garcia-Sciveres, M., and X. Wang. "Data encoding efficiency in binary strip detector readout." Journal of Instrumentation 9, no. 04 (2014): P04021. http://dx.doi.org/10.1088/1748-0221/9/04/p04021.

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50

Lakhov, V. M., V. B. Mityukhlyaev, A. E. Pravdivtsev, P. A. Todua, and V. N. Faifer. "Scanning photoluminescence of GaAlAs/GaAs/GaAlAs binary heterostructure." Measurement Techniques 43, no. 5 (2000): 422–24. http://dx.doi.org/10.1007/bf02503657.

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