Facebook pixel tracking

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

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us

IJARAI Vol. 5 Issue 5 (2016)

Open Access | | 7 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.

Download Full Issue
1

Parameter Optimization for Nadaraya-Watson Kernel Regression Method with Small Samples

Author 1: Li Fengping Author 2: Zhou Yuqing Author 3: Xue Wei

Many current regression algorithms have unsatisfactory prediction accuracy with small samples. To solve this problem, a regression algorithm based on Nadaraya-Watson kernel regression (NWKR) is proposed. The proposed method advocates parameter selection directly from the standard deviation of training data, optimized with leave-one-out cross- validation (LOO-CV). Good generalization performance of… Read full abstract & cite →

small samples regression Nadaraya-Watson kernel regression parameter optimization loss function cross validation
Abstract doi.org/10.14569/IJARAI.2016.050501 PDF
2

Outlier-Tolerance RML Identification of Parameters in CAR Model

Author 1: Hong Teng-teng Author 2: Hu Shaolin

The measured data inevitably contain abnormal data under the normal operating conditions. Most of the existing algorithms, such as least squares identification and maximum likelihood estimation, are easily affected by abnormal data and appear large indentation deviation. It is a difficult task needed to be addressed that how to improve… Read full abstract & cite →

recursive maximum likelihood identification parameter identification outliers outlier-tolerance identification
Abstract doi.org/10.14569/IJARAI.2016.050502 PDF
3

Method for Reducing the Number of Wild Animal Monitors by Means of Kriging

Author 1: Kohei Arai Author 2: Takashi Higuchi

Method for reducing the number of wild animal monitors is proposed by means of Kriging. Through wild animal route of simulations with 128 by 128 cells, the required number of wild animal monitors is clarified. Then it is found that the number of wild animal monitors can be reduced based… Read full abstract & cite →

Kriging Variogram Semi-Variogram Wild animal Wild pig
Abstract doi.org/10.14569/IJARAI.2016.050503 PDF
4

Comparative Study on Cloud Parameter Estimation Among GOSAT/CAI, MODIS, CALIPSO/CALIOP and Landsat-8/OLI with Laser Radar: Lidar as Truth Data

Author 1: Kohei Arai Author 2: Masanori Sakashita Author 3: Hiroshi Okumura Author 4: Shuji Kawakami Author 5: Kei Shiomi Author 6: Hirofumi Ohyama

A comparative study on cloud parameter estimation among GOSAT/CAI, MODIS, CALIPSO/CALIOP and Landsat-8/OLI is carried out using Laser Radar: Lidar as a truth data. Optical depth, size distribution, as well as cirrus type of clouds are cloud parameters. In particular, cirrus cloud detection is tough issue. 1.38 µm channel is… Read full abstract & cite →

Cirrus cloud GOSAT/CAI Landsat LiDAR Sky view camera CALIPSO/CALIOP topogramphic representation of 3D clouds
Abstract doi.org/10.14569/IJARAI.2016.050504 PDF
5

The Mobile Version of the Predicted Energy Efficient Bee-Inspired Routing (PEEBR)

Author 1: Imane M. A. Fahmy Author 2: Hesham A. Hefny Author 3: Laila Nassef

In this paper, the previously proposed Predictive Energy Efficient Bee-inspired Routing (PEEBR) family of routing optimization algorithms based on the Artificial Bees Colony (ABC) Optimization model is extended from a random static mobility model, as employed by its first version (PEEBR-1), into a random mobility model in its second version… Read full abstract & cite →

PEEBR PEEBR-1 PEEBR-2 Energy Efficient Routing Bee-inspired Artificial Bee Colony (ABC) optimization Random Mobility Model
Abstract doi.org/10.14569/IJARAI.2016.050505 PDF
6

Brainstorming Versus Arguments Structuring in Online Forums

Author 1: Abdulrahman Alqahtani Author 2: Marius Silaghi

We characterize electronic discussion forums as being of one of the following two types: Brainstorming Forums and Arguments Structuring Forums. In this work we analyze and classify the types of threading models occurring as a function of the type of forum. For our analysis we study forums attached to the… Read full abstract & cite →

Knowledge Representation Threading Models for Ar-guments in Electronic Debates Threading Model Classification Debate Threading Model Comparison Online news Platforms
Abstract doi.org/10.14569/IJARAI.2016.050506 PDF
7

Factor Analysis Based Selections

Author 1: Sylvia Encheva

Merger in higher education has been of scholarly interest to researchers in various fields. This work is devoted to challenges related to partner selection for an feasible merger. A systematic approach is proposed based on describing educational organizations via several predefined key numbers from the one hand and their expectations… Read full abstract & cite →

Boolean factor analysis Formal concept analysis Belnap’s logic
Abstract doi.org/10.14569/IJARAI.2016.050507 PDF
IJARAI Journal Cover