Strategy on Disaster Recovery Management based on Graph Theory Concepts

The COVID-19 pandemic has asserted major baseline facts from disaster anthropology during the last three decades. Resilience could be based on the solution to the question: "What is the maximum amount of destruction, if any, that the graph (a network) can sustain while ensuring that at least one of each technology type remains and that the remaining induced subgraph is properly colored?" The concept of a graph's Chromatic Core Subgraph is a solution to the stated problem. In this paper, the pandemic graphs and certain sequential graphs are developed. For these graphs, the Chromatic core subgraph is obtained. The results of the pandemic graphs' Chromatic core subgraph are used to develop a disaster recovery strategy for the COVID-19 pandemic.

Relation between Energy Efficiency and GHG Emissions in Drying Units Using Forest Biomass

The impacts of climate change are inevitable and driven by increased levels of greenhouse gases (GHG) in the atmosphere, requiring mitigation and re-adaptation measures. In this context, this article critically analyzes the influence of drying technology type, forest biomass, and GHG emissions resulting from the energy required for drying agricultural crops, by presenting a case study of tobacco drying. In this study, the influence of increasing the technological level of drying unit (curing units CUs), using E. saligna and E. dunnii firewood and Pinus sp. pellets, was evaluated; considering consumption efficiency, energy efficiency, and concentration of gas emissions (CO, CO2, CXHY and NOX), as well as emission factors in tCO₂-eq. The results showed that when increasing the technological level of the CUs, there is a decrease in fuel consumption and emissions. The reduction can reach 60.28% for the amount of biomass consumed and 67.06% in emissions in tCO₂-eq; for the scenario of a production crop, using a CU with a continuous load (Chongololo) and firewood from E. dunnii. The use of pellets proved to be efficient, with the lowest consumption of biomass and emissions with more technological CUs.

INFLUENCE OF TECHNOLOGY TYPE ON DEVELOPMENT OF INSTRUCTIONAL MATERIALS FOR DISTANCE EDUCATION

Purpose: no one technology can support all types of teaching and learning at a distance – the most effective approach is to combine a range of technologies. Using multiple technologies ensure that all learning styles are catered for and that significant opportunities for interaction between the learner and the tutor are provided. The general objective of the study was to evaluate influence of technology type on development of instructional materials for distance education. Methodology: The paper used a desk study review methodology where relevant empirical literature was reviewed to identify main themes and to extract knowledge gaps. Findings: From the study findings, it is concluded that learning through experience influences the creation of new values which become attitudes that have a strong impact on teacher's behavior towards e-learning technology. Therefore, the attitude and values are singled out as a separate category as well, linking together certain factors that influence them. Because of the manner of academic teaching process, the most commonly used is blended learning model where a course instructor chooses the e-learning technology based on certain elements. The practice has shown that creating a blended learning environment is not easy and that course instructors have problems in many stages of designing the virtual learning environment, from the analysis of the course requirements, analysis of the student requirements, application of instructional design model, e-learning technology use, not understanding the concept of the quality of e-learning process and many other factors.. Recommendations: The study recommends that is a need for more courses should be integrated in distance learning so as to cover all the courses offered to students. There is also need for students to enroll in practical classes for computer training. This will enable the less net savvy students to brace up so as to avoid being left behind by others. There is no doubt that a lot of pressures are facing our students when it comes to distance learning technology adoption, especially distance barrier. There is therefore, need for e-learning to be fully put in place to enable the group of students that their homes are far away from the school to participate in classes even when they are not able to make it to school. Finally, there should be availability of ICT infrastructure, the absence or inadequacy of which will totally hamper the idea of e-learning adoption in universities. There should be provision of computers and high bandwidth to enable the easy flow of classes online

Graphical user interface for the patterns detection in wine crops

Considering that our country has an important participation in the grape productive sector for this reason it is one of the crops with the best opportunity areas for the implementation of this technology type. In this paper the design and development of a Graphical User Interface (GUI) generated in the MATLAB programming environment is exposed, through which the pictures acquisition and process from interest information is carried out to implement patter recognition strategies in the wine crops agroindustrial sector to monitor and generate a timely diagnostic of its currently status. The GUI has a section than allows the pictures acquisition in real time to later capture the information to be processed and through the application of filters and color recognition techniques on the crop leaf (study object) it’s processed to establish a diagnostic, which will allow the user to apply the appropriate measures contributing in the best way to a crop optimal development.

IMPLEMENTATION OF THE DIFFERENCE SCHEME FOR ABSORPTION EQUATION TYPE PROBLEMS APPLYING PARALLEL COMPUTING TECHNOLOGIES

This paper describes a way of parallel algorithm technology usage for analyzing physical processes parabolic differential problems on the surface. This analysis determine the temperature distribution on the surface. Such analysis can fit calculation of Maxwell and Maxwell-Stokes equations and can be focused on mathematical models that can be reduced to the absorption or diffusion-convection-reaction equations with the initial and boundary conditions of different order (1st, 2nd, 3rd order of boundary conditions). Parallel computing technologies usage provides an acceleration possibilities of mentioned calculations in different way and effect depending of parallel technology type and method combinations used during the calculations.

Adoption of Enterprise Resources Planning (ERP) In Indonesian Manufacturing Companies

Objective – Enterprise resource planning (ERP) is a technology that supports the management of supply chain activities. ERP consists of modules that have various operational and strategic functions. The more modules that are used, the higher the adoption rate is. This study aims to examine the adoption rate based on the modules used. Methodology/Technique – Manufacturing companies in Indonesia were selected as samples to answer the objective of this research and 155 respondents were obtained. The response from each respondent was categorised into two levels of adoption. The companies that adopted 1 to 4 modules were categorised as partial adopters, while companies that adopted five modules were considered to be full adopters. Findings & Novelty – This research found that 39 (25%) companies had fully adopted the ERP modules, 24 companies (15%) had adopted four modules, 29 companies (19%) adopted three modules, and 26 companies (17%) used two modules. Lastly, 37 companies (24%) used one module. Accordingly, the dominant choice is to partially adopt the technology. Type of Paper: Empirical. JEL Classification: O14, 032, O33. Keywords: Technology; Supply Chain; Enterprise Resource Planning (ERP); Adoption; Manufacturing Companies; Resource-Based View (RBV). Reference to this paper should be made as follows: Perdana, Y.R. 2020. Adoption of Enterprise Resources Planning (ERP) In Indonesian Manufacturing Companies, J. Bus. Econ. Review, 5(3) 86–93 https://doi.org/10.35609/jber.2020.5.3(2)

The Effect of Manufacturing Technology Type on Cost Structure: Evidence from Egypt

We investigate the effect of manufacturing technology type on cost structure in Egypt. We argue that firms adopting advanced manufacturing technology are associated with less rigid and more flexible cost structures. A sample of 40 Egyptian manufacturing firms listed on EGX over a 6-year period (2011-2016), producing 240 company-year observations is tested. Overall, evidence supports the view that firms with advanced manufacturing technologies have more flexible cost structure. The result is robust to alternative specifications by replacing cost of goods sold (COGS) by operating expenses and introducing firm size as a control variable. Our finding continues to hold after robustness tests. Our finding is expected to fill up a gap in the extant literature in two ways. First, this study provides evidence on the effect of manufacturing technology type on cost structure in a developing country (i.e., Egypt). Second, unlike the extant literature, which predominately uses case study and refer to anecdotal evidence, the presumed relation between the manufacturing technology type and the cost structure is systematically examined in a cross-sectional design. Thus, the research findings may be more generalizable.

Patent Quality: Towards a Systematic Framework for Analysis and Measurement

The ‘quality’ of novel technological innovations is extremely variable, and the ability to measure innovation quality is essential to sensible, evidence-based policy. Patents, an often vital precursor to a commercialised innovation, share this heterogeneous quality distribution. A pertinent question then arises: How should we define and measure patent quality? Accepting that different stakeholders have different views of this concept, we take a multi-dimensional view of patent quality in this work. We first test the consistency of popular post-grant outcomes that are often used as patent quality measures. Finding these measures to be generally inconsistent, we then use a raft of patent indicators that are defined at the time of grant to dissect the characteristics associated with different post-grant outcomes. We find broad disagreement in the relative importance of individual characteristics between outcomes and, further, significant variation of the same across technologies within outcomes. We conclude that measurement of patent quality is highly sensitive to both stakeholder viewpoint and technology type. Our findings bear implications for scholarly research using patent data as well as for policy discussions about patent quality.