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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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IJARAI Vol. 1 Issue 1 (2012)

Open Access | | 12 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

1

A Method for Chinese Short Text Classification Considering Effective Feature Expansion

Author 1: Mingxuan liu, Author 2: Xinghua Fan 2

This paper presents a Chinese short text classification method which considering extended semantic constraints and statistical constraints. This method uses “HowNet” tools to build the attribute set of concept. when coming to the part of feature expansion, we judge the collocation between the attribute words of original text and the… Read full abstract & cite →

component short text classification semantic relations semantic constraints statistical constraints HowNet.
2

A Sparse Representation Method with Maximum Probability of Partial Ranking for Face Recognition

Author 1: Yi-Haur Shiau Author 2: Chaur-Chin Chen

Face recognition is a popular topic in computer vision applications. Compressive sensing is a novel sampling technique for finding sparse solutions to underdetermined linear systems. Recently, a sparse representation-based classification (SRC) method based on compressive sensing is presented. It has been successfully applied in face recognition. In this paper, we… Read full abstract & cite →

Compressive sensing Face recognition Sparse representation classification AdaBoost.
3

Adaptive Neuro-Fuzzy Inference System for Dynamic Load Balancing in 3GPP LTE

Author 1: Aderemi A Atayero, Author 2: Matthew K. Luka

ANFIS is applicable in modeling of key parameters when investigating the performance and functionality of wireless networks. The need to save both capital and operational expenditure in the management of wireless networks cannot be over-emphasized. Automation of network operations is a veritable means of achieving the necessary reduction in CAPEX… Read full abstract & cite →

ANFIS 3GPP LTE Neural Network Fuzzy Logic Load balancing Virtual load.
4

Estimation of soil moisture in paddy field using Artificial Neural Networks

Author 1: Chusnul Arif Author 2: Masaru Mizoguchi Author 3: Masaru Mizoguchi Author 4: Ryoichi Doi

In paddy field, monitoring soil moisture is required for irrigation scheduling and water resource allocation, management and planning. The current study proposes an Artificial Neural Networks (ANN) model to estimate soil moisture in paddy field with limited meteorological data. Dynamic of ANN model was adopted to estimate soil moisture with… Read full abstract & cite →

soil moisture paddy field estimation method artificial neural networks
5

Dynamic Decision Support System Based on Bayesian Networks

Author 1: Hela Ltifi Author 2: Ghada Trabelsi Author 3: Mounir Ben Ayed Author 4: Adel M. Alimi

The improvement of medical care quality is a significant interest for the future years. The fight against nosocomial infections (NI) in the intensive care units (ICU) is a good example. We will focus on a set of observations which reflect the dynamic aspect of the decision, result of the application… Read full abstract & cite →

Dynamic Decision Support Systems Nosocomial Infection Bayesian Network.
6

An Intelligent Location Management approaches in GSM Mobile Network

Author 1: N Mallikharjuna Rao Author 2: M. M Naidu2 Author 3: P.Seetharam

Location management refers to the problem of updating and searching the current location of mobile nodes in a wireless network. To make it efficient, the sum of update costs of location database must be minimized. Previous work relying on fixed location databases is unable to fully exploit the knowledge of… Read full abstract & cite →

Baste Station MSC HLR VLR IMEI MT Fuzzy Logic Fuzzy databases.
7

Modified Genetic Algorithms Based Solution To Subset Sum Problem

Author 1: Harsh Bhasin Author 2: Neha Singla

Subset Sum Problem (SSP) is an NP Complete problem which finds its application in diverse fields. The work suggests the solution of above problem with the help of genetic Algorithms (GAs). The work also takes into consideration, the various attempts that have been made to solve this problem and other… Read full abstract & cite →

subset sum problem genetic algorithms NP complete heuristic search.
8

Solving the Resource Constrained Project Scheduling Problem to Minimize the Financial Failure Risk

Author 1: Zhi Jie Chen

In practice, a project usually involves cash in- and out-flows associated with each activity. This paper aims to minimize the payment failure risk during the project execution for the resource-constrained project scheduling problem (RCPSP). In such models, the money-time value, which is the product of the net cash in-flow and… Read full abstract & cite →

RCPSP cash availability memetic algorithms variable neighborhood search
9

Spatial Metrics based Landscape Structure and Dynamics Assessment for an emerging Indian Megalopolis

Author 1: Ramachandra T V Author 2: Bharath H. Aithal Author 3: Sreekantha S

Human-induced land use changes are considered the prime agents of the global environmental changes. Urbanisation and associated growth patterns (urban sprawl) are characteristic of spatial temporal changes that take place at regional levels. Unplanned urbanization and consequent impacts on natural resources including basic amenities has necessitated the investigations of spatial… Read full abstract & cite →

Landscape Metrics Urbanisation Urban Sprawl Remote sensing Geoinformatics Mysore City India.
10

ELECTRE-Entropy method in Group Decision Support System Modelto Gene Mutation Detection

Author 1: Ermatita Author 2: Sri Hartati Author 3: Retantyo Wardoyo Author 4: Agus Harjoko

Application of Group Decision Support System (GDSS) can assist for delivering the decision of various opinions (preference) cancer detection based on the preferences of various expertise. In this paper we propose ELECTRE-Entropy for GDSS Modeling. We propose entropy weighting for each criteria under ELECTRE Method.ELECTRE is one method in Multi-Attribute… Read full abstract & cite →

component Group decision support system(GDSS) Multi Atributte Decision making(MADM) Electre-entropy preference.
11

The Solution of Machines’ Time Scheduling Problem Using Artificial Intelligence Approaches

Author 1: Ghoniemy S Author 2: El-sawy A. A. Author 3: Shohla M. A. Author 4: Gihan E. H.  Ali

The solution of the Machines’ Time Scheduling Problem (MTSP) is a hot point of research that is not yet matured, and needs further work. This paper presents two algorithms for the solution of the Machines’ Time Scheduling Problem that leads to the best starting time for each machine in each… Read full abstract & cite →

Machine Time Scheduling Particle swarm optimization Genetic Algorithm Time Window.
12

The study of prescriptive and descriptive models of decision making

Author 1: Ashok A Divekar Author 2: Sunita Bangal Author 3: Sumangala D.

The field of decision making can be loosely divided into two parts: the study of prescriptive models and the study of descriptive models. Prescriptive decision scientists are concerned with prescribing methods for making optimal decisions. Descriptive decision researchers are concerned with the bounded way in which the decisions are actually… Read full abstract & cite →

Expected Value Prospect expected-value rule risk-averse.
IJARAI Journal Cover