Stimulus generation technique for code simulation of FPGA based gamma spectroscopy system

Rahman, Nur Aira Abd; Ramli, Abdul Rahman; Lombigit, Lojius; Abdullah, Nur Athirah; Khalid, Mohd Ashhar

doi:10.1063/1.4866108

Cited by 3 publications

(6 citation statements)

References 16 publications

(7 reference statements)

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“…Kitchen and Kuehlmann present an approach to stimulate simulations of hardware with a stimuli generator that performs a random generation of input stimuli that obey a set of declaratively specified input constraints. Rahman and Lombigit [33] describe the development of a software that systematically generates stimulus required for code simulation (functional and timing) of new digital processors in gamma spectroscopy system. Yang et al [35] adopts simulations for verification purposes to evaluate the correctness of system-on-chips.…”

Section: Related Workmentioning

confidence: 99%

“…There are two alternatives to deliver stimuli to a simulation [18,[32][33][34][35]. The first one is adding a portion of code to the body of each constituent in the simulation, randomly producing data [36].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Stimuli-SoS: a model-based approach to derive stimuli generators for simulations of systems-of-systems software architectures

et al. 2017

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Background: Systems-of-systems (SoS) are alliances of independent and interoperable software-intensive systems. SoS often support critical domains, being required to exhibit a reliable operation, specially because people's safety relies on their services. In this direction, simulations enable the validation of different operational scenarios in a controlled environment, allowing a benchmarking of its response as well as revealing possible breaches that could lead to failures. However, simulations are traditionally manual, demanding a high level of human intervention, being costly and error-prone. A stimuli generator could aid in by continuously providing data to trigger a SoS simulation and maintaining its operation. Methods: We established a model-based approach termed Stimuli-SoS to support the creation of stimuli generators to be used in SoS simulations. Stimuli-SoS uses software architecture descriptions for automating the creation of such generators. Specifically, this approach transforms SoSADL, a formal architectural description language for SoS, into dynamic models expressed in DEVS, a simulation formalism. We carried out a case study in which Stimuli-SoS was used to automatically produce stimuli generators for a simulation of a flood monitoring SoS. Results:We run simulations of a SoS architectural configuration with 69 constituent systems, i.e., 42 sensors, 9 crowdsourcing systems, and 18 drones. Stimuli generators were automatically generated for each type of constituent. These stimuli generators were capable of receiving the input data from the database and generating the expected stimuli for the constituents, allowing to simulate constituent systems interoperations into the flood monitoring SoS. Using Stimuli-SoS, we simulated 38 days of flood monitoring in little more than 6 h. Stimuli generators correctly forwarded data to the simulation, which was able to reproduce 29 flood alerts triggered by the SoS during a flooding event. In particular, Stimuli-SoS is almost 65 times more productive than a manual approach to producing data for the same type of simulation. Conclusions: Our approach succeeded in automatically deriving a functional stimuli generator that can reproduce environmental conditions for simulating a SoS. In particular, we presented new contributions regarding productivity and automation for the use of a model-based approach in SoS engineering.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Stimuli-SoS: a model-based approach to derive stimuli generators for simulations of systems-of-systems software architectures

et al. 2017

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“…There are two alternatives to deliver stimuli to a simulation (SANCHEZ-MONTANES; KONIG; VERSCHURE, 2002; BRUNEAU; CONSEL, RAHMAN et al, 2014;PIC-COLBONI;PRAVADELLI, 2014;YANG et al, 2012). The first one is adding a portion of code to the body of each constituent in the simulation, randomly producing data (BOGADO; GONNET; LEONE, 2014).…”

Section: Stimuli Generatorsmentioning

confidence: 99%

“…This structure becomes part of the simulated SoS, continuously delivering stimuli to SoS. Hence, stimuli generators imitates the SoS surrounding environment, automating the stimuli input (RAHMAN et al, 2014;PICCOLBONI;PRAVADELLI, 2014;YANG et al, 2012;AL-HASHIMI, 1995;KITCHEN;KUEHLMANN, 2007;PLAZA;MARKOV;BERTACCO, 2007).…”

Section: Stimuli Generatorsmentioning

confidence: 99%

A simulation-driven model-based approach for designing software-intensive systems-of-systems architectures

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A systematic literature reviews of multichannel analyzer based on FPGA for gamma spectroscopy

Susanto

Prajitno

Wijaya

et al. 2020

J. Phys.: Conf. Ser.

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Environmental radiation monitoring based gamma spectroscopy require a multichannel analyzer (MCA) which functions to record and analyze nuclear radiation spectrum data. There are currently many studies related to MCA based on field programmable gate array (FPGA). But, the scope of these published research is complex and fragmented. This systematic literature review (SLR) main objective to analyze research trends and emerging themes research of MCA based on FPGA for gamma spectroscopy that was developed during last 10 years. This review was conducted by selecting papers from leading journals in scientific databases namely ScienceDirect, IEEE Xplore and Scopus. For papers selection process, specific keyword strings used for each database and paper selecting using inclusion and exclusion criterion. Selection of papers resulted in 38 selected papers. During 10 last 10 years, This reseach become hot of topic research especially in Asia. This SLR proves that performance of MCA based FPGA is reliable and compatible with various of detector types. This MCA has been used for spectroscopy applications such as monitoring radiation, diagnostic medicine, industrial imaging and security screening. The implications of this study can used as reference for future research of development MCA based FPGA for enviromental radiation monitoring based gamma spectroscopy.

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Stimulus generation technique for code simulation of FPGA based gamma spectroscopy system

Cited by 3 publications

References 16 publications

Stimuli-SoS: a model-based approach to derive stimuli generators for simulations of systems-of-systems software architectures

Stimuli-SoS: a model-based approach to derive stimuli generators for simulations of systems-of-systems software architectures

A simulation-driven model-based approach for designing software-intensive systems-of-systems architectures

A systematic literature reviews of multichannel analyzer based on FPGA for gamma spectroscopy

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