Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


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Editorial Advisory Board's Chair
William Lesso

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

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Are We Meeting Pedagogic Requirements? – The Quadratic Equation
Russell Jay Hendel
(pages: 1-7)

Facilitating Effective Student Participation in an Online Environment
Nanda van der Stap, Risa Blair
(pages: 8-11)

Virtual Global Classrooms without Walls: Collaborative Opportunities for Higher Learning Engagement
Cathy MacDonald, Debra Sheppard-LeMoine
(pages: 12-16)

Augmented Reality as Visual Communication for People with ASD
Esteban Menéndez, María Daniela López de Luise
(pages: 17-21)

Study of Race Condition: A Privilege Escalation Vulnerability
Tanjila Farah, Rashed Shelim, Moniruz Zaman, Delwar Alam
(pages: 22-26)

From the Lab to the Field: 3D Technology Supporting Study and Conservation Processes on Ancient Egyptian Artefacts
Paola Buscaglia, Elena Biondi, Alessandro Bovero, Tomasso Quirino
(pages: 27-32)

Digital Forensics Compute Cluster (DFORC2) – A New High Speed Distributed Computing Capability for Digital Forensics
Daniel Gonzales, Zev Winkelman, Trung Tran, Ricardo Sanchez, Dulani Woods, John Hollywood
(pages: 33-38)

Proposal of a Bus Location System Based on Participatory Sensing with BLE Devices and Smartphones
Katsuhiro Naito, Katsuyuki Tanaka
(pages: 39-44)

Technical Change and Employment in an Emerging Economy
Humberto Merritt
(pages: 45-53)

Interpretation of the Results of a Case Study about Impacts and Influences of Exogenous Variables in the Planning of Chronogram and Budget in Software Projects
Altino José Mentzingen de Moraes
(pages: 54-59)

Flipped Classroom – A Flexible Way of Teaching Technology Usage for Diagnostics in the Medical Subdomain ENT
Walter Koch, Jochen Schachenreiter, Klaus Vogt, Gerda Koch
(pages: 60-64)

ERP Selection: The Lifeblood of an Organization
Desmond (Tres) Bishop
(pages: 65-69)

Proposing an Education System to Judge the Necessity of Nuclear Power in Japan
Ariyoshi Kusumi
(pages: 70-74)

Biometric Encryption System for Increased Security
Ranjith Jayapal, Pramod Govindan
(pages: 75-80)

BIM as a Structural Safety Study Tool in Case of Fire - BIMSCIP
Marcelo Franco Porto, José Ricardo Queiroz Franco, Luiza Giori Barcellos Correa, Lucas Vinicius Ribeiro Alves, Renata Maria Abrantes Baracho
(pages: 81-86)

Evaluating the Construct Validity of Basic Science Curriculum Assessment Instrument for Critical Thinking: A Case-Study
Chau-Kuang Chen, Adriana Marie Horner, Michelle Scott, Stephanie C. McClure
(pages: 87-92)

The Outer Banks Study – Physio-Chemical Parameters for Water Quality Testing/Professional Development Program for Teachers
Joseph Stringer, Timothy Bowman, Keith Vinson, Catherine Warnecke, Nora Lewis, William Slattery, Suzanne K. Lunsford
(pages: 93-97)


 

Abstracts

 


ABSTRACT


Multi-SOM: an Algorithm for High-Dimensional, Small Size Datasets

Shen Lu, Richard S. Segall


Since it takes time to do experiments in bioinformatics, biological datasets are sometimes small but with high dimensionality. From probability theory, in order to discover knowledge from a set of data, we have to have a sufficient number of samples. Otherwise, the error bounds can become too large to be useful. For the SOM (Self- Organizing Map) algorithm, the initial map is based on the training data. In order to avoid the bias caused by the insufficient training data, in this paper we present an algorithm, called Multi-SOM. Multi-SOM builds a number of small self-organizing maps, instead of just one big map. Bayesian decision theory is used to make the final decision among similar neurons on different maps. In this way, we can better ensure that we can get a real random initial weight vector set, the map size is less of consideration and errors tend to average out. In our experiments as applied to microarray datasets which are highly intense data composed of genetic related information, the precision of Multi-SOMs is 10.58% greater than SOMs, and its recall is 11.07% greater than SOMs. Thus, the Multi-SOMs algorithm is practical.

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