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1.BEYOND CODES AND PIXELS

Author:Fischer, T;De Biswas, K;Ham, JJ;Naka, R;Huang, WX

Source:PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED ARCHITECTURAL DESIGN RESEARCH IN ASIA (CAADRIA 2012): BEYOND CODES AND PIXELS,2012,Vol.

2.Robust Localisation of Pedestrians with Cast Shadows Using Homology in A Monocular View

Author:Xu, M;Jia, TY;Lu, L;Smith, JS

Source:PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC),2012,Vol.

Abstract:In this paper an object detection algorithm is proposed, which is robust in the presence of cast shadows and is based on geometric projections. The novelty of the work lies in the use of homology mapping of the foreground regions between different parallel planes within a monocular view, unlike some existing algorithms which depend on the use of multiple cameras. The results on an open video dataset are provided.

3.A Novel Hybrid ACO/SA Approach to Solve Stochastic Dynamic Facility Layout Problem (SDFLP)

Author:Lee, TS;Moslemipour, G;Ting, TO;Rilling, D

Source:EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS,2012,Vol.304

Abstract:This paper proposes a new hybrid algorithm using ant colony optimization and simulated annealing intelligent approaches to solve a stochastic dynamic facility layout problem in which product demands are normally distributed random variables with known probability density function that changes from period to period in a random manner. Finally, the performance of the proposed algorithm is compared with the simulated annealing and another approach using data taken from the literature.

4.Strategically Managing Facility Management Knowledge Sharing via Web 2.0

Author:Pak, DHA;Li, RYM

Source:COMPUTER APPLICATIONS FOR COMMUNICATION, NETWORKING, AND DIGITAL CONTENTS,2012,Vol.350

Abstract:Transaction costs requires reductions and via knowledge practices and the Web 2.0. This can be significantly curtailed, the study looks at the literature and the success of the social network site, Facebook and draws conclusions thereof.

5.A self-test and self-repair approach for analog integrated circuits

Author:Karmani, Mouna ; Khedhiri, Chiraz ; Man, Ka Lok ; Krilavicˇius, Tomas ; Hamdi, Belgacem ; Rahmani, Amir-Mohammad

Source:2012 2nd Baltic Congress on Future Internet Communications, BCFIC 2012,2012,Vol.

Abstract:With the continuous increase of integration densities and complexities, secure integrated circuits (ICs) are more and more required to guarantee reliability for safety-critical applications in the presence of soft and hard faults. Thus, testing has become a real challenge for enhancing the reliability of safety-critical systems. This paper presents a Self-Test and Self-Repair approach which can be used to tolerate the most likely defects of bridging type that create a resistive path between VDD supply voltage and the ground occurring in analog CMOS circuits during the manufacturing process. The proposed testing approach is designed using the 65 nm CMOS technology. We then used an operational amplifier (OPA) to validate the technique and correlate it with post layout simulation results. © 2012 IEEE.

6.ARTIFICIAL INTELLIGENCE APPROACH TO SoC ESTIMATION FOR SMART BMS

Author:Man, KL;Chen, C;Ting, TO;Krilavicius, T;Chang, J;Poon, SH

Source:ELECTRICAL AND CONTROL TECHNOLOGIES,2012,Vol.

Abstract:One of the most important and indispensable parameters of a Battery Management Systems (BMS) is accurate estimates of the State of Charge (SoC) of the battery. It can prevent battery from damage or premature aging by avoiding over charge/discharge. Due to the limited capacity of a battery, advanced methods must be used to estimate precisely the SoC in order to keep battery safely being charged and discharged at a suitable level and to prolong its life cycle. In this paper, we review several effective approaches: Coulomb counting, Open Circuit Voltage (OCV) and Kalman Filter method for performing the SoC estimation; then we propose Artificial Intelligence (AI) approach that can be efficiently used to precisely determine the SoC estimation for the smart battery management system as presented in [1]. By using our proposed approach, a more accurate SoC measurement will be obtained for the smart battery management system.

7.When to Refinance Mortgage Loans in a Stochastic Interest Rate Environment

Author:Gan, SW;Zheng, J;Feng, XX;Xie, DJ

Source:INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTIST, IMECS 2012, VOL II,2012,Vol.2196

Abstract:Refinancing refers to the replacement of an existing debt obligation with another debt obligation to take the advantage of a lower interest rate. This paper reflects our ongoing work to find a desirable refinancing time for mortgage borrowers to minimize the total payments in a dynamic interest rate environment. To simulate the alternative financial service that the market may offer, it is assumed that the future interest rate follows a stochastic model with mean-reverting property, which is essentially the only required market condition to implement our method. To make it more applicable to the real financial practice, two balance settlement schemes are considered and compared. Numerical simulations with varying samplings lead to several interesting characteristics pertaining to the optimal mortgage refinancing period. Our method is robust and user friendly, thus is useful for financial institutions and individual property investors.

8.Design and compensation of second-order sub-sampling digital frontend

Author:Wang, HM;Kim, JH;Lee, SH;Kim, HJ;Kim, JU;Koh, JS

Source:JOURNAL OF CENTRAL SOUTH UNIVERSITY,2012,Vol.19

Abstract:The problem of designing a digital frontend (DFE) was considered which can dynamically access or sense dual bands in any radio frequency (RF) regions without requiring hardware changes. In particular, second-order bandpass sampling (BPS) as a technique that enables to realize the multiband reception function was discussed. In a second-order BPS system, digital reconstruction filters were utilized to eliminate the interferences generated while down converting arbitrarily positioned RF-band signals by using the direct digitization method. However, the inaccuracy in the phase shift or the amplitude mismatch between the two sample streams may cause insufficient rejection of interference. Practical problems were studied, such as performance degradation in signal-to-interference ratio (SIR) and compensation methods to overcome them. In order to demonstrate the second-order BPS as a flexible DFE suitable for software-defined radio (SDR) or cognitive radio (CR), a DFE testbed with a reconfigurable structure was implemented. Moreover, with a view to further demonstrate the proposed compensation algorithms, experimental results show that dual bands are received simultaneously.

9.Design Similarity Measure and Application to Fault Detection of Lateral Directional Mode Flight System

Author:Park, W;Lee, S;Lee, S;Ting, TO

Source:ADVANCES IN SWARM INTELLIGENCE, ICSI 2012, PT II,2012,Vol.7332

Abstract:In this work, we first obtained the similarity measures. The obtained similarity measures were designed based on well-known Hamming distance. It was also considered by analyzing the certainty and uncertainty of the fuzzy membership functions. The proposed similarity measure was applied to the fault detection of primary control surface stuck of Uninhabited Aerial Vehicle (UAV). At post-failure control surface, if the UAV has controllable and trimmable using other control surfaces, the UAV is able to fly or returns to the safety region through reconfiguration of the flight control system. By the calculation of similarity measure, result could be applicable with the real-time parameter estimation method. Furthermore, coefficients monitoring make it possible to monitor the occurrence of control surface fault. The obtained result has the advantage of increasing reliability without adding sensors or any additional cost.

10.Demand response for optimisation of power systems demand due to EV charging load

Author:Zhang, Peng ; Qian, Kejun ; Zhou, Chengke ; Stewart, Brian ; Hepburn, Donald

Source:Asia-Pacific Power and Energy Engineering Conference, APPEEC,2012,Vol.

Abstract:This paper presents a novel demand response program for optimising power systems demand due to electric vehicle charging load. Based on a mathematical solution to the problem of power systems demand optimization, a demand response program which includes multiple tariffs for different groups of customers is proposed. This program takes into account consumer behaviour with and without external incentives (e.g. time-varying electricity prices). It also prices electricity over 24 hours according to the wholesale market energy price which reflects the generation marginal cost. A comparative study is carried out to evaluate the performance of the program. Three scenarios are considered, i.e. standard tariff, single-tariff and multi-tariff programs. The results show that the multi-tariff program could help utilities reduce daily cost by 1.5%% and help customers save electricity bills by 7%% compared to the standard tariff. © 2012 IEEE.

11.Space exploration of multi-agent robotics via genetic algorithm

Author:Ting,T. O.;Wan,Kaiyu;Man,Ka Lok;Lee,Sanghyuk

Source:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2012,Vol.7513 LNCS

Abstract:Robots play an important role in space exploration whereby the presence of human is almost impossible in some environments. Instead of using a robot, we incorporate a group of robots working together to achieve the definitive goal. Evolutionary algorithm, namely Genetic Algorithm is applied in the multi-agent robotics for space exploration. Hereby, the core focus of this paper is to study the effect of crossover rate upon the convergence of the exploration. As from our results, choosing the right parameter value is crucial for optimal coverage of the potential area. © IFIP International Federation for Information Processing 2012.

12.Evolving linear discriminant in a continuously growing dimensional space for incremental attribute learning

Author:Wang,Ting;Guan,Sheng Uei;Ting,T. O.;Man,Ka Lok;Liu,Fei

Source:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2012,Vol.7513 LNCS

Abstract:Feature Ordering is a unique preprocessing step in Incremental Attribute Learning (IAL), where features are gradually trained one after another. In previous studies, feature ordering derived based upon each individual feature's contribution is time-consuming. This study attempts to develop an efficient feature ordering algorithm by some evolutionary approaches. The feature ordering algorithm presented in this paper is based on a criterion of maximum mean of feature discriminability. Experimental results derived by ITID, a neural IAL algorithm, show that such a feature ordering algorithm has a higher probability to obtain the lowest classification error rate with datasets from UCI Machine Learning Repository. © IFIP International Federation for Information Processing 2012.

13.Modeling the thermochemical degradation of biomass inside a fast pyrolysis fluidized bed reactor

Author:Bruchmüller, J. ; van Wachem, B.G.M. ; Gu, S. ; Luo, K.H. ; Brown, R.C.

Source:AIChE Journal,2012,Vol.58

Abstract:A fast pyrolysis process in a bubbling fluidized bed has been modeled, thoroughly reproduced and scrutinized with the help of a combined Eulerian/Lagrangian simulation method. The 3-D model is compared to experimental results from a 100 g/h bubbling fluidized bed pyrolyzer including such variables as particle composition at the outlet and gas/vapor/water yields as a function of fluidization conditions, biomass moisture concentrations, and bed temperatures. Multiprocessor simulations on a high-end computer have been carried out to enable the tracking of each of the 0.8 million individual discrete sand and biomass particles, making it possible to look at accurate and detailed multiscale information (i.e., any desired particle property, trajectory, particle interaction) over the entire particle life time. The overall thermochemical degradation process of biomass is influenced by local flow and particle properties and, therefore, accurate and detailed modeling reveals unprecedented insight into such complex processes. It has been found, that the superficial fluidization velocity is important while the particle moisture content is less significant for the final bio-oil yield. © 2011 American Institute of Chemical Engineers (AIChE).

14.PROCESS-DRIVEN CONCEPTS Digital agendas in studio teaching

Author:Diniz, N

Source:PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED ARCHITECTURAL DESIGN RESEARCH IN ASIA (CAADRIA 2012): BEYOND CODES AND PIXELS,2012,Vol.

Abstract:This paper discusses studio design curricula using digital design as the medium to design process. The fundamental idea explored is that digital design thinking is fundamentally process driven as opposed to narrative driven and that digital design thinking leads to different way of conceptualising and solving design problems. The paper presents four studio case studies using different methodologies illustrating current digital design models. The types of studios chosen and the working methodologies adopted will be discussed in the light of understanding this shift of design conceptual thinking.

15.Using Web 2.0 Tools to Enhance Learning in Higher Education: A Case Study in Technological Education

Author:Lei, CU;Krilavicius, T;Zhang, N;Wan, KY;Man, KL

Source:INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTIST, IMECS 2012, VOL II,2012,Vol.2196

Abstract:Pedagogy with Web 2.0 technologies is shown to facilitate the teaching-learning process through content sharing and idea collaboration. In this paper, we explore the possibility of using social networking tools, to support teaching practice in technological courses. In our study, we utilized i) Facebook Page as a platform to share content, experiences and news of a general engineering course, and ii) blog as a collaborative writing tool to express thoughts and opinions in a common core (general education) course. After our one-semester (three months) study, we found that Facebook Page is an easy-to use and familiar tool for students to share and exchange ideas among classmates, peers and public.

16.A context-aware multi-agent systems architecture for adaptation of autonomic systems

Author:Wan, Kaiyu ; Alagar, Vasu

Source:IFIP Advances in Information and Communication Technology,2012,Vol.385 AICT

Abstract:An important requirement of autonomic systems is that they self-adapt, both with respect to internal self-healing and with respect to external environmental changes. In order to fulfill this requirement autonomic systems must have awareness abilities, context gathering mechanisms, context-dependent adaptation policies, and the ability to react with respect to each adaptation requirement. In this paper we provide an insight into these issues and propose a multi-agent system that interact faithfully among themselves in order to self adapt with safety and security. © 2012 IFIP International Federation for Information Processing.

17.Population Diversity Based Study on Search Information Propagation in Particle Swarm Optimization

Author:Cheng, S;Shi, YH;Qin, QD

Source:2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC),2012,Vol.

Abstract:Premature convergence happens in Particle Swarm Optimization (PSO) partially due to improper search information propagation. Fast propagation of search information will lead particles get clustered together quickly. Determining a proper search information propagation mechanism is important in optimization algorithms to balance between exploration and exploitation. In this paper, we attempt to figure out the relationship between search information propagation and the population diversity change. Firstly, we analyze the different characteristics of search information propagation in PSO with four kinds of topologies: star, ring, four clusters, and Von Neumann. Secondly, population diversities of PSO, which include position diversity, velocity diversity, and cognitive diversity, are utilized to monitor particles' search during optimization process. Position diversity, velocity diversity, and cognitive diversity, represent distributions of current solutions, particles' "moving potential", and particles' "moving target", respectively. From the observation of population diversities, the effect of search information propagation on PSO's optimization performance is discussed at last.

18.Parallel valuation of the lower and upper bound prices for multi-asset Bermudan options    

Author:Zhang, Nan ; Man, Ka Lok

Source:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2012,Vol.7513 LNCS

Abstract:We present a parallel algorithm and its multi-threaded implementation for computing lower and upper bound prices of multi-asset Bermudan options. Our baseline sequential algorithm follows Longstaff and Schwartz's least-squares Monte Carlo method in computing the lower bound and Andersen and Broadie's simulation-based procedure with sub-optimality checking for the upper bound. The parallel implementation uses POSIX Threads for thread manipulation and Intel's MKL functions for random number generation and linear algebra operations. Tests were made on Intel x86 multi-core processors using the same option examples as the previous work, and the runtimes of the same computations were reduced from minutes to a few seconds. © IFIP International Federation for Information Processing 2012.

19.Recursive and Incremental Learning GA Featuring Problem-Dependent Rule-Set

Author:Zhang, HF;Fang, L;Guan, SU

Source:BIO-INSPIRED COMPUTING AND APPLICATIONS,2012,Vol.6840

Abstract:Traditional rule-based classifiers training with Genetic Algorithms have their major weaknesses in the classification accuracy and training time. To resolve these drawbacks, this paper reviews Recursive Learning of Genetic Algorithm with Task Decomposition and Varied Rule Set (RLGA) and proposes its variation that features Incremental Attribute Learning (RLGA-I). Experiments show that both the proposed solutions dramatically reduce the training duration with better generalization accuracy.

20.DESIGN ENIGMA A typographical metaphor for enigmatic processes, including designing

Author:Fischer, T

Source:PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED ARCHITECTURAL DESIGN RESEARCH IN ASIA (CAADRIA 2012): BEYOND CODES AND PIXELS,2012,Vol.

Abstract:Presenting a hard-to-predict typography-varying system predicated on Nazi-era cryptography, this paper illustrates conditions under which unrepeatable phenomena can arise, even from straight-forward mechanisms. Such conditions arise where systems are observed from outside of boundaries that arise through their observation, and where such systems refer to themselves in a circular fashion. This illustration aims to show the dilemma of scientific design research: Objective outsiders are mystified while those subjectively involved understand.
Total 96 results found
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