WiFi localization, the task of determining the physical location of a mobile device from wireless signal strengths, has been shown to be an accurate method of indoor and outdoor localization and a powerful building block for location-aware applications. However, most localization techniques require a training set of signal strength readings labeled against a ground truth location map, which is prohibitive to collect and maintain as maps grow large. In this paper we propose a novel technique for solving the WiFi SLAM problem using the Gaussian Process Latent Variable Model (GPLVM) to determine the latent-space locations of unlabeled signal strength data. We show how GPLVM, in combination with an appropriate motion dynamics model, can be used to reconstruct a topological connectivity graph from a signal strength sequence which, in combination with the learned Gaussian Process signal strength model, can be used to perform efficient localization.

WiFi-SLAM Using G aussian Process Latent Variable Models

Software engineering: theory and practice

Problems and Strategies in Services Marketing

What is total quality control? : the Japanese way

This paper summarizes the current state of the art and recent trends in software engineering economics. It provides an overview of economic analysis techniques and their applicability to software engineering and management. It surveys the field of software cost estimation, including the major estimation techniques available, the state of the art in algorithmic cost models, and the outstanding research issues in software cost estimation.

Software engineering economics

Although there have been studies completed on the critical success factors of software projects, these studies all have been specific to one particular country. There has been no comprehensive study reporting on different project sizes in various domains and in multiple countries. We present our extensive literature survey of critical success factors that impact software projects. Forty-three articles from the years 1990 to 2010 were found to be significant contributions that could be analysed in order to develop a list of critical factors that specifically affect the success of software projects. The method of content analysis and frequency analysis was adopted. Twenty-six critical success factors were found to be related to software project success. We suggest that organisation or project manager is attentive to control the top five critical factors to drive towards project success since the percentage of frequency of occurrences for each is more than 50%. Also, it appears that non-technical factors (94%) dominated over technical factors (6%). In a result unique to our study compared with previous one, we found that the factors of clear and frozen requirements, realistic estimation of the schedule and budget, along with a competent project manager are the five most critical success factors of software projects.

	 

	Key words: Critical success factors, software project management, comparative study, project failure, project success.

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Critical success factors for software projects: A comparative study

Exploratory factor analysis is a complex and multivariate statistical technique commonly employed in information system, social science, education and psychology. This paper intends to provide a simplified collection of information for researchers and practitioners undertaking exploratory factor analysis (EFA) and to make decisions about best practice in EFA. Particularly, the objective of the paper is to provide practical and theoretical information on decision making of sample size, extraction, number of factors to retain and rotational methods.

https://hal.archives-ouvertes.fr/hal-02557344/document

Exploratory Factor Analysis; Concepts and Theory

This paper presents about a study conducted to investigate the current state of Requirements Engineering (RE) problems and practices amongst the software development companies in Malaysia. The main objective of the study is to determine areas in RE process that should be addressed in future research in order to improve the process. Information required for the study was obtained through a survey, questionnaires distributed to project managers and software developers who are working at various software development companies in the country. Results show that software companies in this study are still facing great challenges in getting their requirements right due to organizational and technical factors. Also, we found out that high-maturity ratings do not generally correlate better performance and do not indicate effective, high-maturity practices especially to the RE practices. The findings imply that we must consider both human and technical problems, with extra care should be given to the technical issues and all the RE practices in our future research which is to re-build a specialized RE process improvement model.

Requirements Engineering Problems and Practices in Software Companies: An Industrial Survey

The Global Positioning System demonstrates the significance of Location Based Services but it cannot be used indoors due to the lack of line of sight between satellites and receivers. Indoor Positioning Systems are needed to provide indoor Location Based Services. Wireless LAN fingerprints are one of the best choices for Indoor Positioning Systems because of their low cost, and high accuracy, however they have many drawbacks: creating radio maps is time consuming, the radio maps will become outdated with any environmental change, different mobile devices read the received signal strength (RSS) differently, and peoples’ presence in LOS between access points and mobile device affects the RSS. This research proposes a new Adaptive Indoor Positioning System model (called DIPS) based on: a dynamic radio map generator, RSS certainty technique and peoples’ presence effect integration for dynamic and multi-floor environments. Dynamic in our context refers to the effects of people and device heterogeneity. DIPS can achieve 98% and 92% positioning accuracy for floor and room positioning, and it achieves 1.2 m for point positioning error. RSS certainty enhanced the positioning accuracy for floor and room for different mobile devices by 11% and 9%. Then by considering the peoples’ presence effect, the error is reduced by 0.2 m. In comparison with other works, DIPS achieves better positioning without extra devices.

https://www.mdpi.com/1424-8220/17/8/1789/pdf

Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments

Newly, smart card technology are being used in a number of ways around the world, on the other hand, security has become significant in information technology, especially in those application involving data sharing and transactions through the internet. Furthermore, researches in information technology acceptance have identified the security as one of the factor that can influence on smart card adoption. This research is chiefly to study the security principals of smart card and assess the security aspects’ affect on smart card technology adoption. In order to achieve this purpose, a survey was conducted among the 640 university students to measure the acceptance of smart card technology from security aspects.

Shamsul Sahibuddin

Papers

Critical success factors for software projects: A comparative study

Exploratory Factor Analysis; Concepts and Theory

Requirements Engineering Problems and Practices in Software Companies: An Industrial Survey

Adaptive Indoor Positioning Model Based on WLAN-Fingerprinting for Dynamic and Multi-Floor Environments

Smart Card Security; Technology and Adoption