Author(s):  
Kristóf Csorba ◽  
Ádám Budai ◽  
Judit Zöldföldi ◽  
Balázs Székely

GrainAutLine is an interdisciplinary microscopy image analysis tool with domain specific smart functions to partially automate the processing of marble thin section images. It allows the user to create a clean grain boundary image which is a starting point of several archaeometric and geologic analyses. The semi-automatic tools minimize the need for carefully drawing the grain boundaries manually, even in cases where twin crystals prohibit the use of classic edge detection based boundary detection. Due to the semi-automatic approach, the user has full control over the process and can modify the automatic results before finalizing a specific step. This approach guarantees high quality results both in cases where the process is easy to automate, and also if it needs more help from the user. This paper presents the basic operation of the system and details about the provided tools as a case study for an interdisciplinary, semi-automatic image processing application.


Computation ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 23
Author(s):  
Narisara Khamsing ◽  
Kantimarn Chindaprasert ◽  
Rapeepan Pitakaso ◽  
Worapot Sirirak ◽  
Chalermchat Theeraviriya

This research presents a solution to the family tourism route problem by considering daily time windows. To find the best solution for travel routing, the modified adaptive large neighborhood search (MALNS) method, using the four destructions and the four reconstructions approach, is applied here. The solution finding performance of the MALNS method is compared with an exact method running on the Lingo program. As shown by various solutions, the MALNS method can balance travel routing designs, including when many tourist attractions are present in each path. Furthermore, the results of the MALNS method are not significantly different from the results of the exact method for small problem sizes. For medium and large problem sizes, the MALNS method shows a higher performance and a smaller processing time for finding solutions. The values for the average total travel cost and average travel satisfaction rating derived by the MALNS method are approximately 0.18% for a medium problem and 0.05% for a large problem, 0.24% for a medium problem, and 0.21% for a large problem, respectively. The values derived from the exact method are slightly different. Moreover, the MALNS method calculation requires less processing time than the exact method, amounting to approximately 99.95% of the time required for the exact method. In this case study, the MALNS algorithm result shows a suitable balance of satisfaction and number of tourism places in relation to the differences between family members of different ages and genders in terms of satisfaction in tour route planning. The proposed solution methodology presents an effective high-quality solution, suggesting that the MALNS method has the potential to be a great competitive algorithm. According to the empirical results shown here, the MALNS method would be useful for creating route plans for tourism organizations that support travel route selection for family tours in Thailand.


Author(s):  
Antonio Miele ◽  
Christian Pilato ◽  
Donatella Sciuto

The efficient analysis and exploration of mapping solutions of a parallel application on a heterogeneous Multi-Processor Systems-on-Chip (MPSoCs) is usually a challenging task in system-level design, in particular when the architecture integrates hardware cores that may expose reconfigurable features. This paper proposes a system-level design framework based on SystemC simulations for fulfilling this task, featuring (i) an automated flow for the generation of timing models for the hardware cores starting from the application source code, (ii) an enhanced simulation environment for SystemC architectures enabling the specification and modification of mapping choices only by changing an XML descriptor, and (iii) a flexible controller of the simulation environment supporting the exploration of various mapping solutions featuring a customizable engine. The proposed framework has been validated with a case study considering an image processing application to show the possibility to automatically exploring alternative solutions onto a reconfigurable MPSoC platform.


2015 ◽  
Vol 3 (1) ◽  
pp. SC1-SC8 ◽  
Author(s):  
Andreas Laake

Structure-sharpened continuous red-green-blue (SRGB) color processing allows the interpreter to explore seismic data more thoroughly for geologic features, facilitates the extraction of structures or geobodies along horizons for them, and provides a visualization environment for the interpretation of geologic objects in their spatial context. SRGB-textured horizons and geobodies offer an intuitive interpretation similar to the way satellite images provide visual information about the surface of the earth. A case study that I conducted from the Green Canyon area in the Gulf of Mexico, which is located across the escarpment from the salt canopy to the abyssal plain, illustrated that the SRGB method delivers subtle structures from geologic and flow processes at the seafloor, helps delineate and understand salt sutures and impurities, and provides details about individual stages in deepwater mass transport systems. With all geologic aspects combined, the SRGB method assists in the mapping and assessment of shallow drilling hazards such as gas hydrates and seafloor instabilities.


Author(s):  
Aladdin Baarah ◽  
Alain Mouttham ◽  
Liam Peyton

Presented is an architecture for event processing applications that manage business processes, and the authors use a case study of monitoring cardiac patient wait times to evaluate their architecture and illustrate our approach. Event processing applications can collect streams of events from sensors for processing to infer critical medical events in real time. However, to manage business processes, it is critical to understand not only where in the hospital those events occur, but also where in the business process those events are occurring. Metrics, such as wait times, can be computed in real-time by using complex event processing to integrate and aggregate events in support of fine grained monitoring of business processes. The authors evaluate their architecture against both current practice and related works in the literature.


2014 ◽  
Vol 38 (01) ◽  
pp. 102-129
Author(s):  
ALBERTO MARTÍN ÁLVAREZ ◽  
EUDALD CORTINA ORERO

AbstractUsing interviews with former militants and previously unpublished documents, this article traces the genesis and internal dynamics of the Ejército Revolucionario del Pueblo (People's Revolutionary Army, ERP) in El Salvador during the early years of its existence (1970–6). This period was marked by the inability of the ERP to maintain internal coherence or any consensus on revolutionary strategy, which led to a series of splits and internal fights over control of the organisation. The evidence marshalled in this case study sheds new light on the origins of the armed Salvadorean Left and thus contributes to a wider understanding of the processes of formation and internal dynamics of armed left-wing groups that emerged from the 1960s onwards in Latin America.


2020 ◽  
Vol 43 ◽  
Author(s):  
Michael Lifshitz ◽  
T. M. Luhrmann

Abstract Culture shapes our basic sensory experience of the world. This is particularly striking in the study of religion and psychosis, where we and others have shown that cultural context determines both the structure and content of hallucination-like events. The cultural shaping of hallucinations may provide a rich case-study for linking cultural learning with emerging prediction-based models of perception.


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