Geovisualization of forest simulation modelling results: A case study of carbon sequestration and biodiversity

Sustainable forest management requires new tools to analyze spatial and temporal forest dynamics and to examine those forest parameters that are related to sustainability. We built a prototype system for data analysis and decision-making at forest enterprise level by integrating a forest ecosystem model EFIMOD-PRO (long-term prediction of forest growth and soil development) with an interactive visualization system CommonGIS for analysis of spatially and temporally related data. Using the prototype, a case study in Central European Russia simulated four silvicultural regimes over 200 years: natural development, selective forestry, legal forestry according to the Russian forestry legislation, and illegal forest practice. Exploratory analysis of the simulation results demonstrated that (1) natural stand development is the best alternative for carbon sequestration; (2) legal forest management is the best regime for timber production; (3) selective forestry combines the advantages of two previous strategies, and can be the best strategy for implementing sustainable forest management; and (4) illegal forest practices lead to a fast decrease in forest productivity and decreasing biodiversity. Interactive and dynamic visualizations with maps and statistical graphics played a crucial role in data cleaning, model validation, and analysis of simulation results. The case study demonstrated the potential of integrating forest ecosystem models with exploratory data visualization for the analysis and expert evaluation at the local level. The prototype can be used to present ecological and silvicultural consequences of various management practices to stakeholders and differing social groups, thus stimulating effective decision-making for sustainable forestry

The consequences of introducing IT systems for decision-making processes in healthcare institutions

Introduction:The measures currently being implemented in the field of healthcare systems are being directed towards minimising the costs incurred by healthcare institutions, while improving the quality of health services provided to patients. It seems essential to make use of various types of instruments supporting the process of making rational management decisions. IT systems constitute an effective tool, creating databases which are significant in supporting management functions in healthcare institutions. In particular, these tools, due to their automatic search and synthesis of information, play a major role in making rational management decisions in the shortest possible time.   Aim: The aim of the study was the diagnosis of management decision-making in the therapeutic entity, for possible implementation tools in the form of an information system, which could accelerate and support the rational process of making those decisions. In addition, work was to evaluate the role of management decisions and the implications of the information system on the process of rational decision-making in the management entity therapeutic. Material and Methods:The case study method allowed us to show the practical applications and benefits resulting from the application system to support rational decision-making management, in particular in terms of reducing costs and improving the organization of health services offered. The results and conclusions:Presented system generates a database to support rational decision-making process in the field of management, minimize their costs while improving the organization of health services. Ability to use various functions of the system allows for multi-segment analysis, thanks to the specially chosen and condensed information, both in the form of text and graphics over any time horizon. Benefits of the implications of the system is the speed and efficiency of the whole process of treatment, as well as the reduction of administrative tasks of medical staff, which increases the time for the patient

An information assistant system for the prevention of tunnel vision in crisis management

In the crisis management environment, tunnel vision is a set of bias in decision makers’ cognitive process which often leads to incorrect understanding of the real crisis situation, biased perception of information, and improper decisions. The tunnel vision phenomenon is a consequence of both the challenges in the task and the natural limitation in a human being’s cognitive process. An information assistant system is proposed with the purpose of preventing tunnel vision. The system serves as a platform for monitoring the on-going crisis event. All information goes through the system before arrives at the user. The system enhances the data quality, reduces the data quantity and presents the crisis information in a manner that prevents or repairs the user’s cognitive overload. While working with such a system, the users (crisis managers) are expected to be more likely to stay aware of the actual situation, stay open minded to possibilities, and make proper decisions

Five dimensions in the communication of design intent

Industries which utilize Computer Aided Design, (CAD), are in a similar situation to the film industry, where the use of Computer Graphics, (CG), has reached such a level of reality that audiences often do not spot where CG has been used. This has resulted in a general attitude among critics of: “CG is what you expect in a film, but what we often lack is a decent plot”. Over a similar period, CAD software has become a powerful tool with proficient users, whilst the marketplace for such services now takes such facilities for granted. The ‘wow factor’ has faded. The special effects used in films has contributed to this dulling of presentation impact, which leads us to question where we stand in relation to a competitive edge, with the realization that: “CAD is what you expect from a firm, but what we often lack is clear intent.” The questioning of competitive edge draws us into some complex issues, concerning the reduction of compromise for design intent, where priorities fight for first place. There is no disputing the importance of time to market, yet the time compression technologies may no longer be providing a sufficient cutting edge. Even if new technologies facilitate even shorter lead-times we will always face the threat of a time management trap and potential loss of design quality. As a high-risk strategy for competitive advantage, contractual agreements for specified short lead-time deliveries, in some cases with penalty clauses written in, have established an expectation among the client base. Such a strategy leads us to effectively burn our bridges, in sacrificing margins for schedule 3 slippage and error compensation, leaving us nowhere to go but back. With such a lean approach to product development we have to improve our focus on the plot and its intent for design quality. The more investment we make at the front end, to enable the decision making process, the more likely we are to avoid pain at the back-end. Presently, decisions are made on a resource of available quality and quantity of data, using a perspective which is based on the experience, tacit knowledge and intuition of those involved. Whilst intuition is a good starting point or fall-back, as with tacit knowledge, it often proves difficult to substantiate. Background experience is the most valuable asset here but proves ineffectual when faced with low quality data, either through ambiguity, error or lack of substance. The improvement of quality standards require that we look closely at the production and presentation of data in the context of decision making and establish a process by which quality decisions can be made quickly and efficiently. This paper focuses on the process of communication between designers and their colleagues and clients, concerning the presentation of CAD models, from a cognitive perspective. It first establishes a context for individual differences in the management of auditory and visual information for decision making. This is followed by a discussion of five approaches to the communication of design intent and concludes with a checklist, to aid selection of an effective approach to communication

A review of data visualization: opportunities in manufacturing sequence management.

Data visualization now benefits from developments in technologies that offer innovative ways of presenting complex data. Potentially these have widespread application in communicating the complex information domains typical of manufacturing sequence management environments for global enterprises. In this paper the authors review the visualization functionalities, techniques and applications reported in literature, map these to manufacturing sequence information presentation requirements and identify the opportunities available and likely development paths. Current leading-edge practice in dynamic updating and communication with suppliers is not being exploited in manufacturing sequence management; it could provide significant benefits to manufacturing business. In the context of global manufacturing operations and broad-based user communities with differing needs served by common data sets, tool functionality is generally ahead of user application

Natural Language Generation enhances human decision-making with uncertain information

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different information presentations for uncertain data and, for the first time, measure their effects on human decision-making. We show that the use of Natural Language Generation (NLG) improves decision-making under uncertainty, compared to state-of-the-art graphical-based representation methods. In a task-based study with 442 adults, we found that presentations using NLG lead to 24% better decision-making on average than the graphical presentations, and to 44% better decision-making when NLG is combined with graphics. We also show that women achieve significantly better results when presented with NLG output (an 87% increase on average compared to graphical presentations).Comment: 54th annual meeting of the Association for Computational Linguistics (ACL), Berlin 201

Family of 2-simplex cognitive tools and their application for decision-making and its justifications

Urgency of application and development of cognitive graphic tools for usage in intelligent systems of data analysis, decision making and its justifications is given. Cognitive graphic tool "2-simplex prism" and examples of its usage are presented. Specificity of program realization of cognitive graphics tools invariant to problem areas is described. Most significant results are given and discussed. Future investigations are connected with usage of new approach to rendering, cross-platform realization, cognitive features improving and expanding of n-simplex family.Comment: 14 pages, 6 figures, conferenc

Alternative sweetener from curculigo fruits

This study gives an overview on the advantages of Curculigo Latifolia as an alternative sweetener and a health product. The purpose of this research is to provide another option to the people who suffer from diabetes. In this research, Curculigo Latifolia was chosen, due to its unique properties and widely known species in Malaysia. In order to obtain the sweet protein from the fruit, it must go through a couple of procedures. First we harvested the fruits from the Curculigo trees that grow wildly in the garden. Next, the Curculigo fruits were dried in the oven at 50 0C for 3 days. Finally, the dried fruits were blended in order to get a fine powder. Curculin is a sweet protein with a taste-modifying activity of converting sourness to sweetness. The curculin content from the sample shown are directly proportional to the mass of the Curculigo fine powder. While the FTIR result shows that the sample spectrum at peak 1634 cm–1 contains secondary amines. At peak 3307 cm–1 contains alkynes