174 research outputs found
Software Atom: An approach towards software components structuring to improve reusability
No full textDiversity of application domain compelled to design sustainable classification scheme for significantly amassing software repository. The atomic reusable software components are articulated to improve the software component reusability in volatile industry. Numerous approaches of software classification have been proposed over past decades. Each approach has some limitations related to coupling and cohesion. In this paper, we proposed a novel approach by constituting the software based on radical functionalities to improve software reusability. We analyze the element's semantics in Periodic Table used in chemistry to design our classification approach, and present this approach using tree-based classification to curtail software repository search space complexity and further refined based on semantic search techniques. We developed a Global unique Identifier (GUID) for indexing the functions and related components. We have exploited the correlation between chemistry element and software elements to simulate one to one mapping between them. Our approach is inspired from sustainability chemical periodic table. We have proposed software periodic table (SPT) representing atomic software components extracted from real application software. Based on SPT classified repository tree parsing & extraction to enable the user to program their software by customizing the ingredients of software requirements. The classified repository of software ingredients assist user to exploits their requirements to software engineer and enable requirement engineer to develop a rapid large-scale prototype with great essence. Furthermore, we would predict the usability of the categorized repository based on feedback of users. The continuous evolution of that proposed repository will be fine-tuned based on utilization and SPT would be gradually optimized by ant colony optimization techniques. Succinctly would provoke automating the software development process
WaterOnto: Ontology of Context-Aware Grid-Based Riverine Water Management System
No full textThe management of riverine water always remains a big challenge, because the volatility of water flow creates hurdles to determine the exact time and quantity of water flowing in rivers and available for daily use. The volatile water caused by various water sources and irregular flow pattern generates different kinds of challenges for management. Distribution of flow of water in irrigation network affects the relevant community in either way. In the monsoon seasons, river belt community high risk of flood, while far living community suffering drought. Contemplating this situation, we have developed an ontology for context-aware information representation of riverine water management system abetting the visualization and proactive planning for the complex real-time situation. The purpose of this WaterOnto is to improve river water management and enable for efficient use of this precious natural resource. This would also be helpful to save the extra water being discharged in sea & non-irrigational areas, and magnitude and location of water leakage. We conceptualized stakeholder and relevant entities. We developed a taxonomy of irrigation system concepts in machine process able structure. Being woven these hierarchies together we developed a detailed conceptualization of river flow that helps us to manage the flow of water and enable to extract danger situation
Human Computations in Citizen Crowds: A Knowledge Management Solution Framework
No full textKG (Knowledge Generation) and understanding has traditionally been a Human-centric activity. KE (Knowledge Engineering) and KM (Knowledge Management) have tried to augment human knowledge on two separate planes: the first deals with machine interpretation of knowledge while the later explores interactions in human networks for KG and understanding. However, both remain computercentric. Crowdsourced HC (Human Computations) have recently utilized human cognition and memory to generate diverse knowledge streams on specific tasks, which are mostly easy for humans to solve but remain challenging for machine algorithms. Literature shows little work on KM frameworks for citizen crowds, which gather input from the diverse category of Humans, organize that knowledge with respect to tasks and knowledge categories and recreate new knowledge as a computer-centric activity.
In this paper, we present an attempt to create a framework by implementing a simple solution, called ExamCheck, to focus on the generation of knowledge, feedback on that knowledge and recording the results of that knowledge in academic settings. Our solution, based on HC, shows that a structured KM framework can address a complex problem in a context that is important for participants themselves
Effects of 6cm versus 2cm Resection Margin from Pylorus on Excess Weight Loss & Complication Rate for Laparo- Scopic Sleeve Gastrectomy: A Nine-Year Experience
No full textIntroduction: LSG is the gold standard sole bariatric procedure for morbid obesity. Small (2cm) and large (6cm) distance of resection margin from pylorus are both being used for neogastric sleeve formation however what is optimal distance remains controversial.
Aims & Objectives: To assess excess weight loss results and complication rate with 6cm and 2cm distance of staple line from pylorus during a prolonged surveillance period.
Place and Duration of Study: This retrospective cohort study was conducted at Fatima Memorial Hospital from Dec 2013 to Dec 2022 spanning 9 years.
Material & Methods: Medical records of 50 morbidly obese patients aged 41- 50 yrs were segregated into two groups of 25 each based on the LSG procedure conducted. Group 1 had LSG with 6cm resection margin from pylorus while group 2 had a staple line distance of 2cm from pylorus for neogastric sleeve formation. The patients were subsequently followed up for excess weight loss (EXL) and BMI at 6 months, 1 year, 2 years, 3 years & 4-year interval. Data was entered and analyzed using SPSS version 21.P value ? 0.05 was considered significant.
Results: EWL in Group 1 & 2 was 39.2± 6.77kg & 41.9± 4.35kg at 6 months,73.64± 6.49kg & 71.06± 7.77kg at 1 year,
65.52± 5.53kg & 63.92± 7.07kg at 2 years,58.16± 4.97kg & 57.28± 5.75kg at 3 years and 55.48± 3.39kg & 55.36±
3.72kg for 4 years were, not significant statistically. BMI in group 1 & 2 were 39.47± 5.11 & 35.88± 4.40 at 6 months,
29.22± 2.68 & 29.12± 2.00 at 1 year, 25.44± 1.96 & 24.73± 2.86 at 2 years, 22.84± 1.79 & 22.40±2.20 at 3 years and
21.66± 1.32, 21.67± 1.62 at 4 years were found to be statistically insignificant.
Conclusion: With regards to extra weight loss, distance of resection margin from pylorus of 2cm or 6cm have identical effects but the latter has lowest complication incidence after 4 yrs of surveillance. Hence, a distance of 6cm is favoured to ensure safety of LSG for morbidly obese patients. And the findings of this study will help bariatric surgeons to improve technique of LSG in a safe and successful way for effective weight loss in morbidly obese patients
Structural response of offshore blast walls under accidental explosion
No full textAdequate blast resistant barriers are requisite to protect personnel and critical systems from the consequences of an accidental explosion and subsequent fire. Many of the blast walls currently installed in offshore structures were designed using simplified calculation approaches like Single Degree of Freedom models (SDOF) as recommended in many design guidelines. Over simplified and idealised explosion load used for response calculation and design of blast wall can lead to inadequate or overdesign of offshore blast walls. Due to lack of presence of a well-accepted design guidelines supported by extensive study, the protection provided by the conventional blast walls for offshore structures can be inadequate. In-depth understanding of structural response of blast walls under different blast loading can provide better design practice of blast walls for adequate protection. In this study, structural responses of conventional offshore blast walls were investigated. A computation fluid dynamics (CFD) approach was used to predict effect of different explosions on the barrier walls and non-linear finite elements analyses were performed to study the behaviour of the blast-loaded walls under different explosions. Effect of different parameters related to blast wall and accidental explosions were investigated to gain detail understanding of structural behaviour of typical steel blast wall.</p
Non-linear Finite Element Analysis of Offshore Stainless Steel Blast Wall under High Impulsive Pressure Loads
No full textAbstractTypical blast walls of offshore platform are stainless steel light-weight walls installed to contain the effect of an accidental explosion on the topside of an offshore installation. These walls are mostly designed using simplified analytical techniques like single degree of freedom (SDOF) method using global deformation or displacement as primary response parameter. Thin plate structures like stainless steel blast walls when subjected to high impulsive pressure loads, may damage severely in a particular region without experiencing a significant global deformation. This study presents realistic responses of offshore blast walls under various high impulsive pressure loads generated from accidental hydrocarbon explosions by using detailed non-linear finite element analysis (NFEA). The numerical models were verified against past experimental study on similar metal blast panels. An extensive parametric study was conducted using the verified finite element models to construct pressure-impulse (P-I) diagrams for different deformation levels. These P-I curves or iso-damage lines can be used as a quick assessment tool to determine possible level of damage of similar offshore blast walls due to different high impulsive pressure loading caused from different explosion scenarios
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