International Journal of Intelligent Information Systems

International Journal of Intelligent Information Systems (IJIIS) provides a forum wherein academics, researchers and practitioners may publish high-quality, original and state-of-the-art papers describing theoretical aspects, systems architectures, analysis and design tools and techniques, and implementation experiences in intelligent information systems. Articles published in IJMIS include: research papers, invited papers, meeting, workshop and conference announcements and reports, survey and tutorial articles, and book reviews.

http://www.sciencepublishinggroup.com/j/ijiis

ISSN:2328-7675 (Print)

ISSN:2328-7683 (Online)

About This Journal

International Journal of Intelligent Information Systems is a peer-reviewed, open access, online journal, publishing original research, reports, reviews and commentaries on all areas of information systems. Subject areas may include, but are not limited to the following fields:

• • Database management technologies
• • Heterogeneous databases
• • Distributed databases
• • Mobile databases
• • Temporal databases
• • Active and dynamic databases
• • Object-relational DBMS
• • Method engineering
• • Meta-modelling
• • Object-oriented database systems
• • Data warehousing and data mining
• • E-business models & architectures
• • M-commerce models & architectures
• • Empirical software engineering
• • Enterprise systems
• • Supply chain integration
• • Extreme modelling
• • Extreme programming
• • Information retrieval systems
• • Intelligent information systems
• • Information engineering
• • Intelligent agents
• • Agent-based applications
• • Knowledge based systems
• • Semantic web and ontology
• • Web databases
• • Web-based information systems
• • Domain-driven development
• • Component engineering
• • Intelligent communication systems
• • Semi-structured systems
• • XML-able database systems
• • Unified Modelling Language
• Read this journal for free in SciencePG.

An Experimental Research of Small Hydropower Plant Investments Selection in Turkey by Carrot2, DEXi, DEXiTree

Authors 
[01]
Burak Omer Saracoglu, Orhantepe Mahallesi, Tekel Caddesi, Geziyolu Sokak, Dragos, Kartal, Istanbul, Turkey 

Abstract 
Nowadays, human daily lives depend very much to electricity. Hence, electricity generation plays a key role not only in countries' economies, but also in people's welfare and comfort in any region. This situation isn't also different for Turkey. Turkish electricity generation policy gives the opportunity for foreign and domestic private investments plans and schemes. Private investors have many private power plant investment options to invest in Turkey. One of the main groups is hydropower plants. Small hydropower plant investments are grouped under the hydropower plant investments. Their characteristics are very different from other types of hydropower plants. This experimental research study investigates the possibility of using a qualitative Multi Attribute Decision Making (MADM) model based on DEXi (Decision EXpert for Education) and DEXiTree software. Attributes in the current experimental research model are analyzed by help of a text mining tool Carrot2. In the experimental case study, the most appropriate small hydropower plant investments amongst five alternative ones at the predevelopment investment stages (an assumption) in Turkey are evaluated, and prioritized by help of seventeen basic factors (catchment area, project runoff, net head, discharge, firm energy, secondary energy, investment cost, river basin, conveyance structure, community attitude, transportation, topography, geology, security conditions, terrorism conditions, protected areas, substation conditions) based on the experimental DEXi decision model. There are some interesting findings such as Option 5 gets the highest priority in the overall experimental decision model. Similarly, Option 5 has the very good preference in the objective attributes evaluation. Option 3 comes afterwards with the good preference. But, both Option 4 and Option 5 get the good preference in the subjective attributes evaluation. The DEXi model file (*.dxi) is also presented to readers for giving opportunity to readers for preparing their models based on this experimental research model. This experimental research study is seen as another very small research step to deeply understand the nature of the small hydropower plants investments decisions in the way of developing an autonomous computer based intelligent decision support system for the real world cases.

Keywords
Carrot2, DEXi, DEXiTree, Investment, Multi Attribute Decision Making, Private, Small Hydropower, Turkey

Read full article here:http://bit.ly/1MuKh51

Analyzing Risks Related to the Use of Pesticides in Vegetable Gardens in Burkina Faso

Pages: 165-172   |   Pub. Date: Jul. 4, 2015DOI: 10.11648/j.aff.20150404.13  16 Views   11 Downloads

Authors 
[01]

Rayim Wendé Alice Naré, Laboratoire Sol-Eau-Plante. Institut de l'Environnement et de Recherches Agricoles (INERA), ouagadougou, Burkina Faso 

[02]

Paul Windinpsidi Savadogo, Laboratoire Sol-Eau-Plante. Institut de l'Environnement et de Recherches Agricoles (INERA), ouagadougou, Burkina Faso 

[03]

Zacharia Gnankambary, Laboratoire Sol-Eau-Plante. Institut de l'Environnement et de Recherches Agricoles (INERA), ouagadougou, Burkina Faso 

[04]

Hassan Bismarck Nacro, Laboratoire d’Etude et de Recherche sur la Fertilité des Sols (LERF), Université Polytechnique de Bobo Dioulasso (UPB), Bobo Dioulasso, Burkina Faso 

[05]

Michel Papaoba Sedogo, Laboratoire Sol-Eau-Plante. Institut de l'Environnement et de Recherches Agricoles (INERA), ouagadougou, Burkina Faso 

To cite this article 
Rayim Wendé Alice Naré, Paul Windinpsidi Savadogo, Zacharia Gnankambary, Hassan Bismarck Nacro, Michel Papaoba Sedogo, Analyzing Risks Related to the Use of Pesticides in Vegetable Gardens in Burkina Faso, Agriculture, Forestry and Fisheries. Vol. 4, No. 4, 2015, pp. 165-172. doi:10.11648/j.aff.20150404.13

Abstract
In West Africa, the uncontrolled use of pesticides by vegetable farmers leads to contamination of soils as well as surface and ground water. Farmers also use various sources of organic amendments which could impact the fate of the pesticides in soils. This study was conducted to identify the type of pesticides and organic amendments used in the main vegetable gardens in Ouagadougou, Ouahigouya and Bobo-Dioulasso three cities of Burkina Faso. Farmers were interviewed individually on their practices regarding organic amendments and pesticides. Sixty one percent (61%) of farmers do not know the instruction regarding the application of pesticides. Fifty three percent (53%) of farmers did never receive training on pesticide application. We found that pyrethroid-based insecticides like lambda-cyhalothrin and delthametrin were the most used by farmers. About 69%, 59% and 100% of the farmers apply the pesticides periodically in their fields respectively in Ouagadougou, Ouahigouya and Bobo-Dioulasso. All the farmers interviewed attested that they do not respect the recommended doses of pesticides. Manure was the organic amendment mostly used in the three cities (41-75%), followed by household garbage (15-41%). In Ouagadougou most of farmers (69%) apply organic amendment at the recommended rate or more while in Bobo-Dioulasso (69%) and in Ouahigouya (57%), the majority apply low rates. There is a correlation between the social status (sex and the education level) and the pesticide and organic amendment management.

KeywordsSoil, Pesticides, Organic Amendment, Environment Pollution, Burkina Faso

Peer reviewed journal article in journal  Agriculture, Forestry and Fisheries.

Source:http://www.sciencepublishinggroup.com/journal/paperinfo.aspx?journalid=119&doi=10.11648/j.aff.20150404.13