3,521 research outputs found
Evacuation routing optimizer (EROP) / Azlinah Mohamed … [et al.]
No full textThis report presents the solution to the two of the most critical processes in planning for flash Hood evacuation: the evacuation vehicle assignment problem (EVAP) and the evacuation vehicle routing problem (EVRP). With these solutions, the evacuation routing optimizer (EROP) is constructed. The EVAP is firstly solved, followed by the EVRP. For EVAP, discrete particle position is proposed to support the implementation of discrete particle swarm optimization called myDPSOVAP-A. Particle positions are initially calculated based on the average passenger capacity of each evacuation vehicle. We experiment with different numbers of the potential flooded areas (PFA) using two types of sequences for vehicle capacity; random and sort ascending order. Both of these sequences are tested with different inertia weights, constriction coefficients (CF), and acceleration coefficients. We analyse the performance of each vehicle allocation in four experiment categories: myDPSOVAP-A using inertia weight with random vehicle capacity, myDPSOVAP-A using inertia weight with sort ascending order of vehicle capacity; myDPSOVAP-A using CF with random vehicle capacity, and myDPSOVAP-A using CF with sort ascending of vehicle capacity. Flash flood evacuation datasets from Malaysia are used in the experiment. myDPSOVAP-A using inertia weight with random capacity was found to give the best results for both random and sort ascending order of vehicle capacity. Solutions reached by analyses with CF random and inertia weight sorted in ascending order were shown to be competitive with those obtained using inertia weight with random capacity. Overall, myDPSOVAP-A outperformed both a genetic algorithm with random vehicle capacity and a genetic algorithm with sort ascending order of vehicle capacity in solving the EVAP. Consequently EVRP, myDPSOVRPl is modified and named as myDPSO_VRP_2, adopts a new solution mapping which incorporates a graph decomposition and random selection of priority value. The purpose of this mapping is to reduce the searching space of the particles, leading to a better solution. Computational experiments involve EVRP dataset from road network for flash flood evacuation in Johor State, Malaysia. The myDPSOVRPl and myDPSO_VRP_2 are respectively compared with a genetic algorithm (GA) using solution mapping for EVRP. The results indicate that the proposed myDPSO_VRP_2 are highly competitive and show good performance in both fitness value and processing time. Overall, DPSOVRP2 and myDPSOVAP-A which are the main component in the EROP gave good performance in maximizing the number of people to vehicles and minimizing the total travelling time from vehicle location to PFA. EROP was embedded with the DPSOVRP2 and retrieved the generated capacitated vehicles from the myDPSOVAP-A. EROP is also accommodated with the routing of vehicles from PFA to relief centres to support the whole processes of the evacuation route planning
Intelligent automated security surveillance video (i-Assured) / Mohd Razif Shamsuddin, Azlinah Mohamed and Azhar Abdul Rasyid
No full textThis product is an intelligent human monitoring automated video surveillance. Video surveillance is widely used as a security monitoring tools and usually works as a safety precaution in preventing crime at private housing area and other significant places. However, surveillance system requires high human involvements to assure its functionality and effectiveness towards preventing crime. The main purpose of this product is to reduce human involvement to a minimum when using video surveillance system. Artificial Neural Network (ANN) is applied in this product as a base due to its learning capability in recognizing image pattern which is highly acclaimed. In this research, the Artificial Neural Network will be trained to recognize images of human climbing posture. Furthermore, this research aims to combines ANN with other processing technique in creating a video surveillance prototype which have the ability to detect human climbing posture in regard to prevent robbery. The product is quite easy to use as it requires minimal installation
Analysing and advising system for undergraduate curricula design / Prof. Madya Dr. Azlinah Mohamed ... [et al.]
No full textOne of the main issues in knowledge representation is how to store and manipulate knowledge in an information system/knowledge based system. Therefore the implementation technique chosen in order to come out with an effective knowledge representation is very important. Each technique to be applied varies depends on the domain. This paper deals with the application of Model-Based Reasoning (MBR) to model and represent the domain knowledge. Model-Based Reasoning is suitable for generic knowledge which needs an abstraction in the modeling process. It targets the knowledge that describes the domain's behaviour. It is well-known that the most important advantage of MBR is lies in knowledge acquisition of the domain which suitable for cases whereby experts typically take a long time and extremely difficult to come out with solid rules. This paper explores the use of robust model based reasoning approaches and meanwhile introduces a recursive methodology for domain modeling to model qualitative knowledge for computer science undergraduate curriculum development. In particular it presents the throughout phases in modeling the knowledge including template design for handling the knowledge that has to be dealt with for this purpose
Framework development in extracting rules from trained neural network / Shuzlina Abdul Rahman, Azlinah Hj Mohamed and Marina Yusoff
No full textRules Extraction (RE) technique has become a significant role in the area of Artificial Neural Network (ANN). It can facilitate ANN developer and most crucially it helps its user to generate symbolic rules that enable them to understand the knowledge inside it in an explainable form. There are many RE techniques have been explored and tested by several researchers in different domains. This report presents a general framework for RE techniques classification, which focuses on three approaches namely decompositional, pedagogical and eclectic. In addressing this framework, the criteria of each approaches has been explored and analyzed from eight factors: process extraction, merit, demerit, rule type, type of data, rule quality, processing complexity, and the description of each RE technique. The analysis is derived by excavating literature on RE techniques starting from the year 1993 until 2003 focused on supervised learning algorithm. The framework primarily demonstrates that each approach does not require a special training process for a new input dataset and does not require special network architecture and it can be used as a guideline to ANNs researcher and developer to choose a suitable RE techniques in order for them to perform ANNs' research or developing ANN applications
Conceptual framework on information security risk management in information technology outsourcing / Nik Zulkarnaen Khidzir, Noor Habibah Arshad and Azlinah Mohamed
No full textData security and protection are seriously considered as information security
risk for information asset in IT outsourcing (ITO). Therefore, risk management
and analysis for security management is an approach to determine which
security controls are appropriate and cost effective to be implemented across
organization for ITO to secure data/information asset. However, previous
established approach does not extensively focus into information security
risk in ITO. For that reason, a conceptual framework on information security
risk management in IT outsourcing (ISRM-ITO) will be introduced throughout
this paper. An extensive amount of literature review on fundamental concepts,
theoretical background and previous findings on information security risk
management and ITO had been conducted. Throughout the review, theoretical
foundation and the process that lead to success in managing information
security risk ITO were identified and these findings become a key component
in developing the conceptual framework. ISRM-ITO conceptual framework
consists of two layers. The first layer concentrates on information security
risks identification and analysis before the decision is made to outsource it.
The second layer will cover the approach of information security risk
management which is used to analyze, mitigate and monitor risks for the rest
of the ITO lifecycle. Proposed conceptual framework could improve
organization practices in information security study for IT outsourcing through
the adoption of risk management approach. Finally, an approach to determine
a cost effective security control for information security risk can be
implemented successfully in the ITO cycle
Phonation in Somali phonology
No full textThe author presents a phonological study on Somali language, in particular it focuses on the binary feature voiced/unvoiced stating its inadequacy.Qoraagu wuxuu halkan ku muujinayaa daraasaad ku saabsan codaynta Af-soomaaliga, wuxuuna si gaar ah diiradda u saarayaa labada qaab codlle/codlaawe oo aan is lahayn.L'autore presenta uno studio fonologico sulla lingua somala: in particolare definisce il tratto binario sonoro/sordo inadeguato ad un'esauriente descrizione della lingua.Mohamed Mohamed Abdi (a cura di
Hautverdächtig
No full textBook Title: Postcolonial Studies; Racial Profiling
Chapter Title: Hautverdächtig
Author(s): Mohamed Wa Baile, Ellen Höhne
Publisher: transcript Verlag
DOI: 10.14361/9783839441459-004
ISBN(s): 978-3-8376-4145-5, 978-3-8394-4145-9
ISSN(s): 2703-1233, 2703-124
Applications of Machine Learning Techniques for Software Engineering Learning and Early Prediction of Students’ Performance
No full textEducational data mining has been widely used to predict student performance and establish intervention strategies to improve that performance. Most studies have implemented machine learning algorithms for interventions but the use of data mining in appraising student performance in learning software is obscure. Furthermore, some of the studies that have explored the use of machine learning in predicting student performance in software learning have only used Random Forest, and as such, this study used the same dataset to implement 7 other algorithms and establish the most efficient. The study used two different sets of data and established that Neural Network was the most efficient with regards to the first dataset although Random Forest was the most efficient with regards to the second dataset. Both the NN graphics and RF tree diagram are presented, and the predictions from the two models also compared.</p
Entretien avec Mohamed Miloud Gharrafi
No full textMohamed Miloud Gharrafi, auteur de plusieurs recueils de poèmes en arabe, a signé, en 2014, une anthologie bilingue de ses poèmes autotraduits, augmentée d’inédits, intitulée Échos lointains. Il a accepté de s’entretenir avec nous sur sa pratique d’écrivain et de traducteur, et de présenter sa vision de l’acte de traduction et de ses relations avec la création, aussi bien dans le cas de l’autotraduction que dans celui de la traduction d’autres poètes, dont il a fait l’expérience à plusieurs reprises. Cette réflexion l’amène à poser la question des liens complexes, dans la poésie et sa traduction, entre la forme et le sens. Elle l’amène également à décrire son rapport, à la fois de filiation et de rupture, avec la tradition poétique arabe, ainsi que ses appartenances multiples à divers univers culturels et littéraires.Mohamed Miloud Gharrafi, author of several collections of poems in Arabic, signed a bilingual anthology of his self-translated poems in 2014, supplemented by unpublished ones, entitled Échos lointains. He has agreed to talk with us about his practice as a writer and translator, and to present his vision of the act of translation and its relationship with creation, both in the case of self-translation and in the case of the translation of other poets, which he has experienced on several occasions. This reflection leads him to question the complex links, in poetry and its translation, between form and meaning. It also leads him to describe his relationship, both of filiation and rupture, with the Arab poetic tradition, as well as his multiple affiliations to various cultural and literary worlds
Mohamed Enver Surty’s In Pursuit of Dignity
No full textIn Pursuit of Dignity is the unusual autobiography of our erstwhile Deputy Minister of Basic Education, Mohamed Enver Surty. The author served in government for twenty five years with distinction, and can be justly proud of a distinguished career both as a lawyer and as a government minister
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