CLASSIFICATION OF FOREST ROADS AND DETERMINATION OF ROUTE USING GEOGRAPHIC INFORMATION SYSTEM

ABSTRACT Geographic Information System (GIS) is an indispensable software tool in forest planning. In forestry transportation, GIS can manage the data on the road network and solve some problems in transportation, such as route planning. Therefore, the aim of this study was to determine the pattern of the road network and define transport routes using GIS technology. The present research was conducted in a forestry company in the state of Minas Gerais, Brazil. The criteria used to classify the pattern of forest roads were horizontal and vertical geometry, and pavement type. In order to determine transport routes, a data Analysis Model Network was created in ArcGIS using an Extension Network Analyst, allowing finding a route shorter in distance and faster. The results showed a predominance of horizontal geometry classes average (3) and bad (4), indicating presence of winding roads. In the case of vertical geometry criterion, the class of highly mountainous relief (4) possessed the greatest extent of roads. Regarding the type of pavement, the occurrence of secondary coating was higher (75%), followed by primary coating (20%) and asphalt pavement (5%). The best route was the one that allowed the transport vehicle travel in a higher specific speed as a function of road pattern found in the study.

Quality of beans stored under hermetic conditions

This study aimed to evaluate the quality of beans (Phaseolus vulgaris L.) stored with different moisture contents under hermetic conditions. Beans with 12.3%, 15.7%, and 17.8% moisture content were used in the experiment. They were packed in bag type silos (3 kg), PET bottles (1.5 L), and glass containers (3 L), covered with organza fabric (control), and stored at 25 ºC and 70±5% relative humidity, for 120 days. The evaluated characteristics included moisture content, apparent density, electrical conductivity, germination percentage, cooking time, and bean classification, every 30 days. Except for the electrical conductivity and cooking time, the other characteristics were kept for 120 days in the stored product with moisture contents of 12.3% and 15.7% in hermetic conditions. Beans with 17.8% of the moisture content, electrical conductivity and cooking time increased, and apparent density and germination were reduced. Beans stored in the control, with any of the moisture contents, showed high quality loss during the long storage. It was concluded that it is possible to storage beans with moisture contents of 12.3% and 15.7%, with quality, for until 120 days, in hermetic conditions.

Efficiency of distinct data mining algorithms for classifying stress level in piglets from their vocalization

Among the challenges of pig farming in today's competitive market, there is factor of the product traceability that ensures, among many points, animal welfare. Vocalization is a valuable tool to identify situations of stress in pigs, and it can be used in welfare records for traceability. The objective of this work was to identify stress in piglets using vocalization, calling this stress on three levels: no stress, moderate stress, and acute stress. An experiment was conducted on a commercial farm in the municipality of Holambra, São Paulo State , where vocalizations of twenty piglets were recorded during the castration procedure, and separated into two groups: without anesthesia and local anesthesia with lidocaine base. For the recording of acoustic signals, a unidirectional microphone was connected to a digital recorder, in which signals were digitized at a frequency of 44,100 Hz. For evaluation of sound signals, Praat® software was used, and different data mining algorithms were applied using Weka® software. The selection of attributes improved model accuracy, and the best attribute selection was used by applying Wrapper method, while the best classification algorithms were the k-NN and Naive Bayes. According to the results, it was possible to classify the level of stress in pigs through their vocalization.

Identification of croplands of winter cereals in Rio Grande do Sul state, Brazil, through unsupervised classification of normalized difference vegetation index images

This study aimed to propose methods to identify croplands cultivated with winter cereals in the northern region of Rio Grande do Sul State, Brazil. Thus, temporal profiles of Normalized Difference Vegetation Index (NDVI) from MODIS sensor, from April to December of the 2000 to 2008, were analyzed. Firstly, crop masks were elaborated by subtracting the minimum NDVI image (April to May) from the maximum NDVI image (June to October). Then, an unsupervised classification of NDVI images was carried out (Isodata), considering the crop mask areas. According to the results, crop masks allowed the identification of pixels with greatest green biomass variation. This variation might be associated or not with winter cereals areas established to grain production. The unsupervised classification generated classes in which NDVI temporal profiles were associated with water bodies, pastures, winter cereals for grain production and for soil cover. Temporal NDVI profiles of the class winter cereals for grain production were in agree with crop patterns in the region (developmental stage, management standard and sowing dates). Therefore, unsupervised classification based on crop masks allows distinguishing and monitoring winter cereal crops, which were similar in terms of morphology and phenology.

Geostatistics and remote sensing methods in the classification of images of areas cultivated with citrus

This study compares the precision of three image classification methods, two of remote sensing and one of geostatistics applied to areas cultivated with citrus. The 5,296.52ha area of study is located in the city of Araraquara - central region of the state of São Paulo (SP), Brazil. The multispectral image from the CCD/CBERS-2B satellite was acquired in 2009 and processed through the Geographic Information System (GIS) SPRING. Three classification methods were used, one unsupervised (Cluster), and two supervised (Indicator Kriging/IK and Maximum Likelihood/Maxver), in addition to the screen classification taken as field checking.. Reliability of classifications was evaluated by Kappa index. In accordance with the Kappa index, the Indicator kriging method obtained the highest degree of reliability for bands 2 and 4. Moreover the Cluster method applied to band 2 (green) was the best quality classification between all the methods. Indicator Kriging was the classifier that presented the citrus total area closest to the field check estimated by -3.01%, whereas Maxver overestimated the total citrus area by 42.94%.

Production of a product similar to gelatin from chicken feet collagen

Chicken feet can be used as an alternative source of collagen for the development of new products. In this sense, the aim of this study was the production of a product similar to gelatin from collagen extracted from chicken feet and the evaluation of sensory quality. The products were produced in two distinct flavors, with grape flavor called GU and pineapple flavor called GA. Subsequently, we compared these formulations with gelatin of a trademark established in the market. We used in the verification of sensory acceptability of products a hedonic scale of 9 points and the availability of consuming the product by 30 untrained tasters. According to the results, all formulations showed good levels of acceptability, indicating the collagen from chicken feet as an alternative source of high quality in the production of gelatin.

Using fraction images derived from modis data for coffee crop mapping

Coffee production was closely linked to the economic development of Brazil and, even today, coffee is an important product of the national agriculture. The State of Minas Gerais currently accounts for 52% of the whole coffee area in Brazil. Remote sensing data can provide information for monitoring and mapping of coffee crops, faster and cheaper than conventional methods. In this context, the objective of this study was to assess the effectiveness of coffee crop mapping in Monte Santo de Minas municipality, Minas Gerais State, Brazil, from fraction images derived from MODIS data, in both dry and rainy seasons. The Spectral Linear Mixing Model was used to derive fraction images of soil, coffee, and water/shade. These fraction images served as input data for the supervised automatic classification using the SVM - Support Vector Machine approach. The best results concerning Overall Accuracy and Kappa Index were obtained in the classification of the dry season, with 67% and 0.41, respectively.

Effects of Country of Origin on Consumer Product Evaluations: Finnish clothing products in the minds of Russian tourists

Companies operating in today’s highly internationalized markets consider product differentiation the key priority in pursue to attain a constant competitive advantage in challenging global environment (Baker and Ballington 2002, 158). The main driver affecting companies’ differentiation actions was described as early as 1912 by one of the marketing pioneers A. W. Shaw (1912, 710) as meeting human wants more accurate than the competition, and thus increasing customers’ perceived value and satisfaction. Dickson and Ginter (1987, 2) point out in their study based on earlier research by Chamberlin (1965) and Porter (1976) that differentiation can be based on either tangible characteristics of a product such as design or intangible characteristics such as a brand name and country of origin (hereafter referred to as COO). The concept of COO and its impact on consumers’ evaluation of a product as an extrinsic product cue has been one of the most noteworthy topics in international marketing, having been voluminously examined by over 780 authors in more than 750 academic publications in the past 40 years (Papadopoulos and Heslop 2002, 294). Many of these studies accentuate the significant effect the COO has on consumers’ product attribute evaluations. People routinely associate country images with products and services in order to judge and categorize them based on perceived quality and risk levels; thereby COO can influence the likelihood of a purchase (Peterson and Jolibert 1995, 883-884; Verlegh and Steenkamp 1999, 523). Based on the vast research related to COO in the field of international business, it is widely recognized that the country associated with a product can act in a similar way as the name of a brand and even become a part of product’s total image. Thereby depending on customer’s values and perceptions, the product-country image can either increase or decrease perceived value.

Streamlining Launch Support Operations in a Product Platform

The new product development process is a massive investment to a company that aims to reduce their products’ time-to-market. Capability to shorter time-to market allows longer life-cycle to products which are introduced to market earlier but also give advantage to start product launch later while simultaneously learning from customer behavior and competitors. The product launch support operations are the last ramp-up activities before the product launching. This study defines what these operations mean in a product platform and how they can be streamlined to be more efficient. The methodology includes interviews, innovative group brainstorming and regular working group meetings. The challenges concerning the current situation of product launch support operations are allocated into four categories: General, Process, Project Resources and Project Management including altogether ten sub challenges. The challenges include issues related to technology and marketing management, branding strategy, organizing the global platform structure, harmonizing processes and clarifying handovers between shareholders in the process. The study makes a suggestion of a new Product Launch Support organization and clarification of its roles, responsibilities and tasks. In addition a new project management tool and Lessons Learned are suggested to improve the project management. The study can be seen as a pre-study when having an aim at combining technological and marketing know-how in the product ramp-up process before actual production. The future proceedings are suggested to include more detailed specifications and implementation in order to reach the long range target, reduced the time-to-market.

Making Sense of Software Product Requirements

One of the most crucial tasks for a company offering a software product is to decide what new features should be implemented in the product’s forthcoming versions. Yet, existing studies show that this is also a task with which many companies are struggling. This problem has been claimed to be ambiguous and changing. There are better or worse solutions to the problem, but no optimal one. Furthermore, the criteria determining the success of the solution keeps changing due to continuously changing competition, technologies and market needs. This thesis seeks to gain a deeper understanding of the challenges that companies have reportedly faced in determining the requirements for their forthcoming product versions. To this end, product management related activities are explored in seven companies. Following grounded theory approach, the thesis conducts four iterations of data analysis, where each of the iterations goes beyond the previous one. The thesis results in a theory proposal intended to 1) describe the essential characteristics of organizations’ product management challenges, 2) explain the origins of the perceived challenges and 3) suggest strategies to alleviate the perceived challenges. The thesis concludes that current product management approaches are becoming inadequate to deal with challenges that have multiple and conflicting interpretations, different value orientations, unclear goals, contradictions and paradoxes. This inadequacy continues to increase until current beliefs and assumptions about the product management challenges are questioned and a new paradigm for dealing with the challenges is adopted.

A Case Study of Agile Software Engineering Methods and Practices in the MeeGo Harmattan Open Source and Product Context

The aim of this master’s thesis is to study how Agile method (Scrum) and open source software are utilized to produce software for a flagship product in a complex production environment. The empirical case and the used artefacts are taken from the Nokia MeeGo N9 product program, and from the related software program, called as the Harmattan. The single research case is analysed by using a qualitative method. The Grounded Theory principles are utilized, first, to find out all the related concepts from artefacts. Second, these concepts are analysed, and finally categorized to a core category and six supported categories. The result is formulated as the operation of software practices conceivable in circumstances, where the accountable software development teams and related context accepts a open source software nature as a part of business vision and the whole organization supports the Agile methods.

Worker motivation in crowdsourcing new product development

In the study the recently appeared technology of crowdsourcing and its implications to new product development activities. The goal of the research is to figure out the motivating factors used in crowdsourcing projects related to new product development. The study is based on the theoretical backgrounds of crowdsourcing; new product development, and motivation, which resulted in the framework for the crowdsourcing cases assessment and the list of possible motivating factors used for the analysis. The research is based on 16 crowdsourcing projects divided in 4 sets according to the stage of new product development at which they are directed. The motivating factors present in the projects were distinguished and explained. Further analysis allowed making conclusions showing which of the motivating factors are suitable for the crowdsourcing projects related to the particular stage of new product development. The results can be used for creation or assessment of crowdsourcing projects for the companies because the main factor of success for crowdsourcing is motivation, and the work is answering how to motivate the workers.

Improving product profitability control in continuous IT-services

The target of the thesis is to improve product profitability control in continuous IT-services. Accurate product cost accounting and correctly allocated revenues are a necessity for good product profitability control. The focus of the study is on costs and revenues that are not traced directly to services. The thesis is focused on revenue allocations as revenue allocation methods have not been used in the case company before. In order to achieve the target revenue allocation methods, which improve the product profitability accounting and control, are presented. The research methods used in the thesis are literature review and empirical case study. The research approach is constructive. The theoretical part is composed of literature and articles that create a base for the empirical part. Internal interviews describe the current situation in the company and based on it development actions are planned. The part of the empirical case study is seen mostly in the limitations as the research is limited to concern only one department in the company. Problems in the revenue tracing are caused by customer specific services and lack of service definitions because of which the revenues are not traced correctly. Methods to allocate revenues are presented in the thesis and stand-alone revenue allocation method is the most suitable one because it is fair and it can be modified. Approximate product profitability analysis is done in the thesis and the results of it indicate that some services are profitable and some unprofitable.

Montreal classification of patient operated for Crohn's disease and identification of surgical recurrence predictors

OBJECTIVE: to evaluate Crohn's disease recurrence and its possible predictors in patients undergoing surgical treatment. METHODS: We conducted a retrospective study with Crohn's disease (CD) patients undergoing surgical treatment between January 1992 and January 2012, and regularly monitored at the Bowel Clinic of the Hospital das Clínicas of the UFMG. RESULTS: we evaluated 125 patients, 50.4% female, with a mean age of 46.12 years, the majority (63.2%) diagnosed between 17 and 40 years of age. The ileum was involved in 58.4%, whereas stenotic behavior was observed in 44.8%, and penetrating, in 45.6%. We observed perianal disease in 26.4% of cases. The follow-up average was 152.40 months. Surgical relapse occurred in 29.6%, with a median time of 68 months from the first operation. CONCLUSION: The ileocolic location, penetrating behavior and perianal involvement (L3B3p) were associated with increased risk of surgical recurrence.