M. Fadzil Hassan

A Survey on Ontology Mapping Techniques

This paper surveys existing ontology mapping techniques towards data interoperability. Existing matcher algorithms and strategies are discussed generally and the research gaps are highlighted. The study concludes that semantic mapping has the biggest share of unresolved problems. Bridging the gap in semantic mapping may help improving mapping of ostensibly different domain knowledge and disparate data sources.

Support Vector regression for Service Level Agreement violation prediction

SLA is a contract between service providers and consumers, mandating specific numerical target values which the service needs to achieve. For service providers, preventing SLA violation becomes very important to enhance customer trust and avoid penalty charging. Therefore, it is necessary for providers to forecast possible violations as much as possible before they actually happen. Time series analysis based on Support Vector Machine for regression is proposed for predicting SLA violations. It will analyse historical data of performance to provide estimated upcoming data. A validation using 120 days sample data shows that Support Vector Machine could predict service performance data in cloud database. The prediction accuracy is considerably high in this particular case; it is more than 80%.

Service Level Agreement Renegotiation Framework for Trusted Cloud-Based System

With the widespread adoption of Cloud Computing, the need for trustworthy service providers becomes more important particularly in medical and health related areas. Service terms as one of trust factors are normally defined in the Service Level Agreement (SLA) binding both providers and customers. This paper presents a framework to perform proactive SLA renegotiation during service runtime that aims to maintain trust by customers on the cloud provider. Requirements and important basis for renegotiation such as detecting SLA violation and assessing certain service level boundaries are discussed. Preliminary experimental work shows that by using historical data, the framework is able to provide suitable recommendation on the SLO values that ensures trust is maintained.

Filters for device-free indoor localization system based on RSSI measurement

Based on wireless sensor networks, device-free indoor localization technique has received much attention in the field of indoor localization system Due to different indoor environmental parameters, multipath fading, human presences and different system configurations, the WiFi-based received signal strength indicator values are affected. This problem leads the researchers to choose any filter or smoothing algorithm to get proper values of received signal strength in the indoor environment. The aim of using the filter or smoothing algorithm is to get a signal value which can clearly identify the changes in the signal values due to interferences caused by various factors in the indoor environment. Wi-Fi based device-free indoor localization technique has become more attractive because its simplicity, as well as it does not require extra hardware. However the implementation of this technique in the indoor environment becomes complex, sometimes because of imprecise and unreliable readings caused by multipath fading. There are various filters designed and tested to remove the inconsistencies occurring in RSSI readings due to the various environmental effects. This paper presents various types of filters which are used for smoothing the raw data received signal strength indicator values and also improving the strength of these values by mitigating multipath fading effects in an indoor environment.

WLAN location fingerprinting technique for device-free indoor localization system

Device-free indoor localization (DFIL) system can locate the position of human body in the indoor environment by observing the changes in the received signal strength indicator (RSSI) of the wireless local area network (WLAN). The accuracy of a DFIL system is depreciated, as the change in the indoor environment due to furniture and other infrastructure movement. This paper investigates the development of testbed of the Wi-Fi network for measuring the RSSI in various indoor environment, as the initial step for designing the fingerprinting-based algorithms for Wi-fi network. The database of RSSI fingerprint is created initially and then a fingerprint-based algorithm is developed for locating the position of a human body in the indoor environment. The localization algorithm tests the minimum distance in the RSSI values related to the different test points in the indoor environment. This work further demonstrates that how the fingerprints of RSSI are collected and which network configurations generate the most reliable RSSI measurement. For the first phase of designing the testbed, the configurations of different equipment and various tools are elaborated in the indoor environment. For the second phase the RSSI is measured in different propagation indoor environment. The extensive experiments were performed that allow quantification of how changes in an environment affect accuracy. Thus, it is demonstrated that each link offers a viable approach to developing a more robust system for device-free localization that is less susceptible to changes in the environment.

Ontology evaluation — A criteria selection framework

A complete ontology does not contain all domain information yet may still meet the requirements. Evaluation of ontology is necessary to determine the quality. To evaluate the quality of an ontology, various criteria have been proposed. This paper is a tribute to the works done through comparative study with the goal of identifying overlaps and establishing relationship of the various criteria. A framework is proposed to guide the choice of suitable criteria for various ontology evaluation levels and evaluation methods.

ICT in process safety management

This paper analyzes the impact of Information Communications Technology (ICT) in process safety management of Highly Hazardous Chemicals. Although computer systems have been used in control systems, much work is yet to be done to address safety at high level. The authors conducted extensive cross-field literature study and field study to verify findings. Three challenges for ICT in process safety are integration of process safety subsystems and activities; quality assurance; and propagation of safety information. Discussion begins with concepts of process safety, safety controls, safety tools and safety management. The following sections discuss software categories for process safety and analyses ICT impacts. The contribution of this paper is general picture of ICT landscape in process safety environment and fresh leads for ICT to optimize plant safety.

Analysis of Chemical Plant Process Safety Information Integration Model from Information System Perspective

Information with bearing on process safety can be mined from various work flows of a plant. This information is often found in reports, plant layouts and activity logbooks, which format is not structured. Hence, some information become obscured and tracking changes that compromise process safety become difficult. Whilst there are works to address access to unstructured sources, another following-up challenge is to compose information extracted from various sources meaningfully. This paper proposes a knowledge-based model to integrate safety-related information from multiple workflow sources to multiple sinks. The work provides an architectural perspective to improve visibility and interoperability of safety information within a plant environment.

Design of an indoor localization system using device-free localization technique

The growth in location based services (LBS) and fast advancement in communication services has significantly increased the researchers interest in an area of the location determination. In the context-aware computing, one of the key competences is location determination. The accuracy has vital significance for localization estimation. The indoor environment requires higher degree of accuracy in comparison to the outdoor environment. The indoor environment is effected by reflection, refraction, diffraction and shadowing form obstacles by presenting difficult path to travel for RF signal. This fading and multipath propagation in radio frequency (RF) signal is because of different reasons like furniture, walls, the wired and wireless communication devices causing interference. These all problems are challenging and therefore motivate to develop an accurate indoor location estimation based on device-free location system. This research work focus to design an accurate indoor localization system for tracking the location of objects/human in indoor environment without use of any device attached.