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Articles 18601 - 18630 of 25650

Full-Text Articles in Computer Engineering

Development Of Local-Economic-Development Small And Medium Industries (Led-Sme) In East Java, Rachmad Hidayat, Sabarudin Akhmad Nov 2012

Development Of Local-Economic-Development Small And Medium Industries (Led-Sme) In East Java, Rachmad Hidayat, Sabarudin Akhmad

Makara Journal of Technology

This paper presents the effects of Indonesian government’s developmental efforts of assistance and training performed on the growth of LED-SME business units and business performance. Both parameters of the government’s assistance and training were used to analyze the impact to the growth and performance of business unit. To achieve a comprehensive result, samples acquired in this research were about 190 entrepreneurs and managers of LED-SME from East Java. Based on the parameters above, there are five hypotheses made to prove the relationship of the assistance and training to the growth and performance of business units. The structural equation modeling (SEM) …

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Cdm Potential In Palm Solid Waste Cogeneration As An Alternative Energy In Aceh Province, Mahidin Mahidin, Izarul Machdar, Muhammad Faisal, Muhammad Nizar Nov 2012

Cdm Potential In Palm Solid Waste Cogeneration As An Alternative Energy In Aceh Province, Mahidin Mahidin, Izarul Machdar, Muhammad Faisal, Muhammad Nizar

Makara Journal of Technology

Empty Fruit Bunch (EFB) as a solid waste in Crude Palm Oil (CPO) industry does not utilized yet as an alternative energy source to generate electricity. It is well known that use of solid wate (biomass) as an energy source is part of the Clean Development Mechanism (CDM) scheme due to direct reduction of Green House Gases (GHGs) emission and provide a direct contribution to sustainable development. Utilization of EFB as a source of energy is very potential to be implemented in Aceh since this province has 25 CPO Mills at the moment which actively produce about 870,000 ton EFB …

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Small Scale Experiment: Thermal Performance Comparison Between Fiber-Cement Roof And Photovoltaic Roof In Malang, Indonesia, Nurhamdoko Bonifacius, Sri Nastiti Nugrahani Ekasiwi Nov 2012

Small Scale Experiment: Thermal Performance Comparison Between Fiber-Cement Roof And Photovoltaic Roof In Malang, Indonesia, Nurhamdoko Bonifacius, Sri Nastiti Nugrahani Ekasiwi

Makara Journal of Technology

Irradiation on the surface of photovoltaic module heats up the photovoltaic module itself and the room underneath the roof of integrated photovoltaic building in the tropics area. Room heating reduces thermal condition and photovoltaic module surface heating reduces its performance in generating electricity. This paper discusses an experiment of measuring the surface temperature of photovoltaic modules and fiber-cement roof surface as a comparison. This experiment also measures the impact of rising temperatures in each space underneath. It used small-scale mock-ups exposed to direct sunlight. The result of the experiment shows that photovoltaic roof surface temperature is lower than fiber-cement roof …

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Improved Optical Probe For Measuring Phytoplankton Suspension Concentrations Based On Optical Fluoresensce And Absorption, Retno Wigajatri Purnamaningsih, Nining Betawati Prihantini Nov 2012

Improved Optical Probe For Measuring Phytoplankton Suspension Concentrations Based On Optical Fluoresensce And Absorption, Retno Wigajatri Purnamaningsih, Nining Betawati Prihantini

Makara Journal of Technology

This paper discusses the results of improved optical probe that works according to optical fluorescence and absorption phenomena for measuring the phytoplankton suspension concentrations. Measurements are made on the Scenedesmus sp. culture. The laboratory test has shown that range of concentration from 104 up to around 1 x 106 cells/mL; fluorescence intensity at λ = 685 nm; and logarithmic of transmission intensity at λ = 405 nm are proportional to the cell concentration linear with proportional constant γ = 4 × 10-5 and β = –2 × 10-7 mL/cell respectively.

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Mechanical And Thermal Properties Of Polypropylene Reinforced By Calcined And Uncalcined Zeolite, Nurdin Bukit Nov 2012

Mechanical And Thermal Properties Of Polypropylene Reinforced By Calcined And Uncalcined Zeolite, Nurdin Bukit

Makara Journal of Technology

This study was carried out to compare mechanical and thermal properties of polypropylene (PP) reinforced with uncalcined and calcined zeolites. The PP samples were reinforced with zeolites at various quantities of 2, 4, and 6 (wt %). The comparison of the two types of zeolite was based on mechanical properties, including tensile strength, elongation at break, and Young’s modulus, and thermal characteristics analyzed using DSC, and DTA/TGA technique. The results obtained clearly revealed that both zeolites were able to significantly increase tensile strength and Young’s modulus of the samples, with calcined zeolite was found to work better. Addition of calcined …

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Benchmark For Country-Level Earthquake Strong-Motion Instrumentation Program, Widjojo Adi Prakoso, I Nyoman Sukanta Nov 2012

Benchmark For Country-Level Earthquake Strong-Motion Instrumentation Program, Widjojo Adi Prakoso, I Nyoman Sukanta

Makara Journal of Technology

An empirical study to develop benchmark models at country-level to assess the suggested number of earthquake strongmotion stations based on a framework encompassing geographic, demographic, and socio-economic parameters is reported. The models are to provide a working estimate of the required number of stations for improving the strongmotion instrumentation program of Indonesia. National earthquake strong-motion networks of New Zealand, Japan, Taiwan, Iran, Turkey, and Italy were used as the references. The parameter proposed is the number of stations in land area of 1,000 km2, and three models based on the exponential regression analysis are presented as functions of population density, …

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Worst Case Of Relative Disturbance Gain Array For Uncertain Distillation System, Rudy Agustriyanto, Jie Zhang Nov 2012

Worst Case Of Relative Disturbance Gain Array For Uncertain Distillation System, Rudy Agustriyanto, Jie Zhang

Makara Journal of Technology

This article discusses the constrained nonlinear optimization formulation for calculating the worst case of lower and upper bounds of relative disturbance gain array (RDGA) for uncertain process models. The proposed approach seeks the minimum and maximum values of the relative disturbance gains subject to the constraints in which the process and disturbance gains are within their uncertainty ranges. RDGA ranges are useful for control structure determination and the related robustness, as they provide information regarding the sensitivity to gain uncertainties. The proposed method is demonstrated by ternary distillation column case study. Closed loop simulation results support the analysis based on …

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Biodiesel Production From Waste Cooking Oil Using Hydrodinamic Cavitation, Muhammad Dani Supardan, Satriana Satriana, Mahlinda Mahlinda Nov 2012

Biodiesel Production From Waste Cooking Oil Using Hydrodinamic Cavitation, Muhammad Dani Supardan, Satriana Satriana, Mahlinda Mahlinda

Makara Journal of Technology

The aim of this research was to study biodiesel production from low cost feedstock of waste cooking oil (WCO) using hydrodynamic cavitation apparatus. A two-step processes esterification process and transesterification process using hydrodynamic cavitation for the production of biodiesel from WCO is presented. The first step is acid-catalyzed esterification process for reducing free fatty acid (FFA) content of WCO and followed by base-catalyzed transesterification process for converting WCO to biodiesel as the second step. The result of esterification process with methanol to oil molar ratio of 5 and temperature of 60 oC showed that the initial acid value of WCO …

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Knowledge Dictionary For Information Extraction On The Arabic Text Data, Wahyu Syaifullah Jauharis Saputra, Agus Zainal Arifin, Anny Yuniarti Nov 2012

Knowledge Dictionary For Information Extraction On The Arabic Text Data, Wahyu Syaifullah Jauharis Saputra, Agus Zainal Arifin, Anny Yuniarti

Makara Journal of Technology

Information extraction is an early stage of a process of textual data analysis. Information extraction is required to get information from textual data that can be used for process analysis, such as classification and categorization. A textual data is strongly influenced by the language. Arabic is gaining a significant attention in many studies because Arabic language is very different from others, and in contrast to other languages, tools and research on the Arabic language is still lacking. The information extracted using the knowledge dictionary is a concept of expression. A knowledge dictionary is usually constructed manually by an expert and …

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Fashionask: Pushing Community Answers To Your Fingertips, Wei Zhang, Lei Pang, Chong-Wah Ngo Nov 2012

Fashionask: Pushing Community Answers To Your Fingertips, Wei Zhang, Lei Pang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

We demonstrate a multimedia-based question-answering system, named FashionAsk, by allowing users to ask questions referring to pictures snapped by mobile devices. Specifically, instead of asking verbose questions to depict visual instances, direct pictures are provided as part of questions. To answer these multi-modal questions, FashionAsk performs a large-scale instance search to infer the names of instances, and then matches with similar questions from communitycontributed QA websites as answers. The demonstration is conducted on a million-scale dataset of Web images and QA pairs in the domain of fashion products. Asking a multimedia question through FashionAsk can take as short as five …

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Predicting Domain Adaptivity: Redo Or Recycle?, Ting Yao, Chong-Wah Ngo, Shiai Zhu Nov 2012

Predicting Domain Adaptivity: Redo Or Recycle?, Ting Yao, Chong-Wah Ngo, Shiai Zhu

Research Collection School Of Computing and Information Systems

Over the years, the academic researchers have contributed various visual concept classifiers. Nevertheless, given a new dataset, most researchers still prefer to develop large number of classifiers from scratch despite expensive labeling efforts and limited computing resources. A valid question is why not multimedia community “embrace the green” and recycle off-the-shelf classifiers for new dataset. The difficulty originates from the domain gap that there are many different factors that govern the development of a classifier and eventually drive its performance to emphasize certain aspects of dataset. Reapplying a classifier to an unseen dataset may end up GIGO (garbage in, garbage …

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Community As A Connector: Associating Faces With Celebrity Names In Web Videos, Zhineng Chen, Chong-Wah Ngo, Juan Cao, Wei Zhang Nov 2012

Community As A Connector: Associating Faces With Celebrity Names In Web Videos, Zhineng Chen, Chong-Wah Ngo, Juan Cao, Wei Zhang

Research Collection School Of Computing and Information Systems

Associating celebrity faces appearing in videos with their names is of increasingly importance with the popularity of both celebrity videos and related queries. However, the problem is not yet seriously studied in Web video domain. This paper proposes a Community connected Celebrity Name-Face Association approach (CCNFA), where the community is regarded as an intermediate connector to facilitate the association. Specifically, with the names and faces extracted from Web videos, C-CNFA decomposes the association task into a three-step framework: community discovering, community matching and celebrity face tagging. To achieve the goal of efficient name-face association under this umbrella, algorithms such as …

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Cognitive Architectures And Autonomy: Commentary And Response, Włodzisław Duch, Ah-Hwee Tan, Stan Franklin Nov 2012

Cognitive Architectures And Autonomy: Commentary And Response, Włodzisław Duch, Ah-Hwee Tan, Stan Franklin

Research Collection School Of Computing and Information Systems

This paper provides a very useful and promising analysis and comparison of current architectures of autonomous intelligent systems acting in real time and specific contexts, with all their constraints. The chosen issue of Cognitive Architectures and Autonomy is really a challenge for AI current projects and future research. I appreciate and endorse not only that challenge but many specific choices and claims; in particular: (i) that “autonomy” is a key concept for general intelligent systems; (ii) that “a core issue in cognitive architecture is the integration of cognitive processes ....”; (iii) the analysis of features and capabilities missing in current …

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Temporal Data Mining Of Uncertain Water Reservoir Data, Abhinaya Mohan, Peter Revesz Nov 2012

Temporal Data Mining Of Uncertain Water Reservoir Data, Abhinaya Mohan, Peter Revesz

School of Computing: Conference and Workshop Papers

This paper describes the challenges of data mining uncertain water reservoir data based on past human operations in order to learn from them reservoir policies that can be automated for the future operation of the water reservoirs. Records of human operations of water reservoirs often contain uncertain data. For example, the recorded amounts of water released and retained in the water reservoirs are typically uncertain, i.e., they are bounded by some minimum and maximum values. Moreover, the time of release is also uncertain, i.e., typically only monthly or weekly amounts are recorded. To increase the effectiveness of data mining of …

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Stress Monitoring Of Post-Processed Mems Silicon Microbridge Structures Using Raman Spectroscopy, Lavern A. Starman, Ronald A. Coutu Jr. Nov 2012

Stress Monitoring Of Post-Processed Mems Silicon Microbridge Structures Using Raman Spectroscopy, Lavern A. Starman, Ronald A. Coutu Jr.

Electrical and Computer Engineering Faculty Research and Publications

Inherent residual stresses during material deposition can have profound effects on the functionality and reliability of fabricated Micro-Electro-Mechanical Systems (MEMS) devices. Residual stress often causes device failure due to curling, buckling, or fracture. Typically, the material properties of thin films used in surface micromachining are not well controlled during deposition. The residual stress; for example, tends to vary significantly for different deposition methods. Currently, few nondestructive techniques are available to measure residual stress in MEMS devices prior to the final release etch. In this research, micro-Raman spectroscopy is used to measure the residual stresses in polysilicon MEMS microbridge devices. This …

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Combining Emotion And Facial Nonamanual Signals In Synthesized American Sign Language, Jerry Schnepp, Rosalee Wolfe, John Mcdonald, Jorge Toro Oct 2012

Combining Emotion And Facial Nonamanual Signals In Synthesized American Sign Language, Jerry Schnepp, Rosalee Wolfe, John Mcdonald, Jorge Toro

Visual Communications and Technology Education Faculty Publications

Conference proceedings from the the 14th international ACM SIGACCESS conference on Computers and accessibility-2012. ASSETS '12. Boulder, CO, USA, October 22 - 24, 2012. New York, NY, USA: ACM. 249-250.

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A Partition Dummy Sequence Insertion Papr Reduction Method Of The Ofdm System, Chi-Min Li, Jia-Chyi Wu, Chao-Chin Tseng Oct 2012

A Partition Dummy Sequence Insertion Papr Reduction Method Of The Ofdm System, Chi-Min Li, Jia-Chyi Wu, Chao-Chin Tseng

Journal of Marine Science and Technology–Taiwan

OFDM (Orthogonal Frequency Division Multiplexing) technique has been widely adopted in many wireless communication systems due to its high data-rate transmission ability and robustness to the multipath fading channel. One major drawback of the OFDM signal is the high peak-toaverage power ratio (PAPR) problem. The high PAPR results in the in-band distortion and out-of-band radiation when the OFDM signal is fed into a nonlinear power amplifier (PA). In this paper, we propose a partition dummy sequence insertion (PDSI) method to reduce the PAPR problem. Simulation results of the PAPR reduction and bit error rate (BER) performance for the proposed method …

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Performance Comparison Of The Stbc-Ofdm Decoders In A Fast Fading Channel, Chi-Min Li, Guo-Wei Li, Han-Yi Liu Oct 2012

Performance Comparison Of The Stbc-Ofdm Decoders In A Fast Fading Channel, Chi-Min Li, Guo-Wei Li, Han-Yi Liu

Journal of Marine Science and Technology–Taiwan

In a fast fading channel, the orthogonality of the two consecutive STBC-OFDM symbols will be destroyed and the received signals can not be perfectly separated. As a result, the bit error rate (BER) performance will be degraded seriously. In this paper, we analyze several co-channel interference (CCI) cancellation decoders for the STBC-OFDM in a fast fading channel including the Alamouti method, SIC method, ML method, DMLD method, and a proposed DZFD method. The proposed DZFD method has the advantage of reducing the computational complexity for the DMLD method. We also conduct the outdoor channel measurements to verify the CCI cancellation …

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A Model For Designing M-Agriculture Applications For Dairy Farming, Amos Gichamba, Ismail A. Lukandu Oct 2012

A Model For Designing M-Agriculture Applications For Dairy Farming, Amos Gichamba, Ismail A. Lukandu

The African Journal of Information Systems

In the recent past, developing countries have experienced major technological advancements including high mobile phone penetration. With the implementation of innovative technological solutions (e.g. mobile-based systems in key economic activities such as agriculture), there is need to develop models that software developers and researchers can use to design solutions. This paper aims to study the implementation of mobile systems in agriculture and presents a model for designing such applications. This study shows that models exist for general mobile applications design and development, although none specifically suits mobile agriculture applications. A model for designing and implementing M-Agriculture applications is presented. The …

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Evolving Expert Agent Parameters For Capture The Flag Agent In Xpilot, Gary Parker, Sarah Penrose Oct 2012

Evolving Expert Agent Parameters For Capture The Flag Agent In Xpilot, Gary Parker, Sarah Penrose

Computer Science Faculty Publications

Xpilot is an open source, 2d space combat game. Xpilot-AI allows a programmer to write scripts that control an agent playing a game of Xpilot. It provides a reasonable environment for testing learning systems for autonomous agents, both video game agents and robots. In previous work, a wide range of techniques have been used to develop controllers that are focused on the combat skills for an Xpilot agent. In this research, a Genetic Algorithm (GA) was used to evolve the parameters for an expert agent solving the more challenging problem of capture the flag.

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Evolving Predator Control Programs For An Actual Hexapod Robot Predator, Gary Parker, Basar Gulcu Oct 2012

Evolving Predator Control Programs For An Actual Hexapod Robot Predator, Gary Parker, Basar Gulcu

Computer Science Faculty Publications

In the development of autonomous robots, control program learning systems are important since they allow the robots to adapt to changes in their surroundings. Evolutionary Computation (EC) is a method that is used widely in learning systems. In previous research, we used a Cyclic Genetic Algorithm (CGA), a form of EC, to evolve a simulated predator robot to test the effectiveness of a learning system in the predator/prey problem. The learned control program performed search, chase, and capture behavior using 64 sensor states relative to the nearest obstacle and the target, a simulated prey robot. In this paper, we present …

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Automation Techniques For Intelligent Environments - Prediction Of Building Activity Patterns Using A Cyclic Genetic Algorithm, Gary Parker, David T. Alpert Oct 2012

Automation Techniques For Intelligent Environments - Prediction Of Building Activity Patterns Using A Cyclic Genetic Algorithm, Gary Parker, David T. Alpert

Computer Science Faculty Publications

This work involves learning the use schedule of an academic building in order to intelligently control various aspects of the environment. Motion sensors are used to monitor and record the activity of each of the rooms in the building. After a basic preprocessing of the data, a Cyclic Genetic Algorithm (CGA) is used to pick out the patterns of use of the rooms. The CGA is seen as ideal for such a problem because of its ability to find repetitive cyclic patterns in the data. Our results show that a CGA has the ability to pick out such patterns and …

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Designing Autonomous Robot Missions With Performance Guarantees, Damian M. Lyons, Ronald Arkin, Prem Nirmal, Shu Jiang Oct 2012

Designing Autonomous Robot Missions With Performance Guarantees, Damian M. Lyons, Ronald Arkin, Prem Nirmal, Shu Jiang

Faculty Publications

This paper describes the need and methods required to construct an integrated software verification and mission specification system for use in robotic missions intended for counter-weapons of mass destruction (c-WMD) operations, as part of a 3-year effort for the Defense Threat Reduction Agency. The overall system architecture is described. The principal tool for verification is a process algebra, PARS, based on port automata theory. PARS is introduced, emphasizing its ability to represent probabilistic programs and uncertain and dynamic environments, followed by the analysis of mission properties for an example robotic mission.

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[Accepted Article Manuscript Version (Postprint)] Track Me To Track Us: Leveraging Short Range Wireless Technologies For Enabling Energy Efficient Wi-Fi-Based Localization, Mohamed Abdellatif, Abderrahmen Mtibaa, Khaled Harras Oct 2012

[Accepted Article Manuscript Version (Postprint)] Track Me To Track Us: Leveraging Short Range Wireless Technologies For Enabling Energy Efficient Wi-Fi-Based Localization, Mohamed Abdellatif, Abderrahmen Mtibaa, Khaled Harras

Computer Science Faculty Works

Given the success of outdoor tracking via GPS and the rise of real-time context-aware services, users will soon rely on applications that require higher granularity indoor localization. This need is further manifested in countries like Qatar, where various social and business activities occur indoors. Wi-Fi-based indoor localization is one of the most researched techniques due to its ubiquitous deployment and acceptable accuracy for a wide range of applications. However, we do not witness such techniques widely deployed mainly due to their high demand on energy, which is a precious commodity in mobile devices. We propose an energy-efficient indoor localization system …

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Digital Imperatives In Marketing: The Integration Of Communications And Technology To Target Consumers While Protecting Privacy, Catherine Dwyer, Randi Priluck Oct 2012

Digital Imperatives In Marketing: The Integration Of Communications And Technology To Target Consumers While Protecting Privacy, Catherine Dwyer, Randi Priluck

Cornerstone 3 Reports : Interdisciplinary Informatics

No abstract provided.

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Andrews Computing Program Is Abet Accredited, Keri Suarez Oct 2012

Andrews Computing Program Is Abet Accredited, Keri Suarez

Lake Union Herald

No abstract provided.

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An Investigation Of Distributed Schema Free Tabular Data Storage Technologies On Google App Engine And Microsoft Azure, Conor Mcgrath, Gary Clynch Oct 2012

An Investigation Of Distributed Schema Free Tabular Data Storage Technologies On Google App Engine And Microsoft Azure, Conor Mcgrath, Gary Clynch

Conference Papers

This paper examines schema free non-relational tabular storage for two important emerging Platform as a Service (PaaS) environments, where Google App Engine applications persist data to the Google Datastore, and Microsoft Azure applications store data in Azure Tables. A simple mobile web application was initially developed for both platforms, to understand how an application could be developed and deployed. Java Data Objects (JDO) was selected for Google App Engine and Windows Communication Foundation (WCF) in C# for Microsoft Azure. Many applications have a requirement to store complex data that is organised in relations in the order of One to One, …

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Sensor Openflow: Enabling Software-Defined Wireless Sensor Networks, Tie Luo, Hwee-Pink Tan, Tony Q. S. Quek Oct 2012

Sensor Openflow: Enabling Software-Defined Wireless Sensor Networks, Tie Luo, Hwee-Pink Tan, Tony Q. S. Quek

Research Collection School Of Computing and Information Systems

While it has been a belief for over a decade that wireless sensor networks (WSN) are application-specific, we argue that it can lead to resource underutilization and counter-productivity. We also identify two other main problems with WSN: rigidity to policy changes and difficulty to manage. In this paper, we take a radical, yet backward and peer compatible, approach to tackle these problems inherent to WSN. We propose a Software-Defined WSN architecture and address key technical challenges for its core component, Sensor OpenFlow. This work represents the first effort that synergizes software-defined networking and WSN.

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A Probabilistic Graphical Model For Topic And Preference Discovery On Social Media, Lu Liu, Feida Zhu, Lei Zhang, Shiqiang Yang Oct 2012

A Probabilistic Graphical Model For Topic And Preference Discovery On Social Media, Lu Liu, Feida Zhu, Lei Zhang, Shiqiang Yang

Research Collection School Of Computing and Information Systems

Many web applications today thrive on offering services for large-scale multimedia data, e.g., Flickr for photos and YouTube for videos. However, these data, while rich in content, are usually sparse in textual descriptive information. For example, a video clip is often associated with only a few tags. Moreover, the textual descriptions are often overly specific to the video content. Such characteristics make it very challenging to discover topics at a satisfactory granularity on this kind of data. In this paper, we propose a generative probabilistic model named Preference-Topic Model (PTM) to introduce the dimension of user preferences to enhance the …

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Ceg 7900-01: Special Topics: Computer And Network Security, Junjie Zhang Oct 2012

Ceg 7900-01: Special Topics: Computer And Network Security, Junjie Zhang

Computer Science & Engineering Syllabi

This course will introduce active research topics in computer and network security, and will focus on discussing both sophisticated cyber-attacks and the defense mechanisms. The course will cover topics including intrusion detection, malware analysis, worm detection, botnet detection, spam, phishing, DNS security, web security, cellular network security, and privacy. This class is targeted at PhD and MS students who consider conducting research in computer and network security, and students who are interested in real-world security problems.

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