Physical Sciences and Mathematics Commons^™

แบคทีเรียบนใบไม้กับการกำจัดมลพิษทางอากาศ, เอกวัล ลือพร้อมชัย, นุชนาฏ ทองธรรมชาติ

Thai Environment

No abstract provided.

พลาสติกย่อยสลายได้ทางชีวภาพ (Biodegradable Plastice) : การผลิตเองจากระบบบำบัดน้ำเสีย, โสภา ชินเวชกิจวานิชย์

Thai Environment

No abstract provided.

บทสำเร็จในการจัดการสิ่งแวดล้อมในโรงแรม โรงแรมสยามเบย์ชอร์ รีสอร์ทแอนด์สปา, เพ็ญโสม นิธิบุญญาพันธ์

Thai Environment

No abstract provided.

ความซับซ้อนและข้อจำกัดในการศึกษาการแพร่กระจายของมลสารในพื้นที่ลุ่มน้ำ, กัลยา สุนทรวงศ์สกุล

Thai Environment

No abstract provided.

เขื่อน แสง เงา, นิอร สุขวัจน์

Thai Environment

No abstract provided.

"ผังเมืองเฉพาะ" ทางเลือกใหม่ในการพัฒนาเมือง, ชูขวัญ นิลศิริ

Thai Environment

No abstract provided.

แนะนำโครงการสถาบันวิจัยสภาวะแวดล้อม : โครงการศึกษาและประเมินผลกระทบโครงการโรงไฟฟ้าพลังน้ำ เขื่อนน้ำเงียบ 1 สาธารณรัฐประชาธิปไตยประชาชนลาว, ศุภชัย ตั้งใจตรง

Thai Environment

No abstract provided.

สิ่งแวดล้อมน่ารู้คู่โลกสวย

Thai Environment

No abstract provided.

108 วิธีรักษ์โลก

Thai Environment

No abstract provided.

Quartic: An Ultra-Fast Time-Of-Flight Counter, Pedro Miguel Duarte

Physics Theses

Fast time-of-flight counters are planned to dramatically decrease backgrounds to events with a massive central system and forward/backward protons at the LHC. By using timing to confirm that the protons originated from the same vertex as the central system. QUARTIC's design uses an array of fused silica (quartz-like) bars aligned at an angle with respect to the beam. The protons pass through the bars and emit Cherenkov photons which are detected by a micro-channel plate photomultiplier tube at the end of the bars. In this work I present the results of the first stage of R&D efforts for the QUARTIC …

Fixed Points Of Abelian Actions, John Franks, Michael Handel, Kamlesh Parwani

Kamlesh Parwani

We prove that if $\F$ is an abelian group of $C^1$ diffeomorphisms isotopic to the identity of a closed surface $S$ of genus at least two then there is a common fixed point for all elements of $\F.$

Fixed Points Of Abelian Actions, John Franks, Michael Handel, Kamlesh Parwani

Faculty Research and Creative Activity

We prove that if $\F$ is an abelian group of $C^1$ diffeomorphisms isotopic to the identity of a closed surface $S$ of genus at least two then there is a common fixed point for all elements of $\F.$

Towards Optimal Bag-Of-Features For Object Categorization And Semantic Video Retrieval, Yu-Gang Jiang, Chong-Wah Ngo, Jun Yang

Research Collection School Of Computing and Information Systems

Bag-of-features (BoF) deriving from local keypoints has recently appeared promising for object and scene classification. Whether BoF can naturally survive the challenges such as reliability and scalability of visual classification, nevertheless, remains uncertain due to various implementation choices. In this paper, we evaluate various factors which govern the performance of BoF. The factors include the choices of detector, kernel, vocabulary size and weighting scheme. We offer some practical insights in how to optimize the performance by choosing good keypoint detector and kernel. For the weighting scheme, we propose a novel soft-weighting method to assess the significance of a visual word …

Improving Memory-Based Collaborative Filtering Using A Factor-Based Approach, Zhenxue Zhang, Dongsong Zhang, Zhiling Guo

Research Collection School Of Computing and Information Systems

Collaborative Filtering (CF) systems generate recommendations for a user by aggregating item ratings of other like-minded users. The memory-based approach is a common technique used in CF. This approach first uses statistical methods such as Pearson’s Correlation Coefficient to measure user similarities based on their previous ratings on different items. Users will then be grouped into different neighborhood depending on the calculated similarities. Finally, the system will generate predictions on how a user would rate a specific item by aggregating ratings on the item cast by the identified neighbors of his/her. However, current memory-based CF method only measures user similarities …

An Empirical Study On Large-Scale Content-Based Image Retrieval, Yuk Man Wong, Steven C. H. Hoi, Michael R. Lyu

Research Collection School Of Computing and Information Systems

One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR systems. In this paper, we propose a scalable content-based image retrieval scheme using locality-sensitive hashing (LSH), and conduct extensive evaluations on a large image testbed of a half million images. To the best of our knowledge, there is less comprehensive study on large-scale CBIR evaluation with a half million images. Our empirical results show that our proposed solution is able to scale for hundreds of thousands of images, which is promising for building Web-scale …

Discovering And Exploiting Causal Dependencies For Robust Mobile Context-Aware Recommenders, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang

Research Collection School Of Computing and Information Systems

Acquisition of context poses unique challenges to mobile context-aware recommender systems. The limited resources in these systems make minimizing their context acquisition a practical need, and the uncertainty in the mobile environment makes missing and erroneous context inputs a major concern. In this paper, we propose an approach based on Bayesian networks (BNs) for building recommender systems that minimize context acquisition. Our learning approach iteratively trims the BN-based context model until it contains only the minimal set of context parameters that are important to a user. In addition, we show that a two-tiered context model can effectively capture the causal …

2007 Vas Meeting Best Student Papers

Virginia Journal of Science

List of award winning student papers by section from the 85th Annual Meeting of the Virginia Academy of Science, May 24-26, 2007, James Madison University, Harrisonburg, VA

A Dynamic Attribute-Based Load Shedding Scheme For Data Stream Management Systems, Amit Ahuja, Yiu-Kai D. Ng

Faculty Publications

A data stream being transmitted over a network channel with capacity less than the data transmission rate of the data stream causes sequential network problems. In this paper, we present a new approach for shedding less-informative attribute data from a data stream to maintain a data transmission rate less than the network channel capacity. A scheme for shedding attributes and their data, instead of tuples, becomes imperative in data stream load shedding, since shedding a complete tuple would lead to shedding informative attribute data along with less-informative attribute data in the tuple. Our load shedding approach handles intra-stream, as well …

An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm With Application To The Detection Of Distributed Computer Network Intrusions, Charles R. Haag, Gary B. Lamont, Paul D. L. Williams, Gilbert L. Peterson

Faculty Publications

Today's signature-based intrusion detection systems are reactive in nature and storage-limited. Their operation depends upon catching an instance of an intrusion or virus and encoding it into a signature that is stored in its anomaly database, providing a window of vulnerability to computer systems during this time. Further, the maximum size of an Internet Protocol-based message requires the database to be huge in order to maintain possible signature combinations. In order to tighten this response cycle within storage constraints, this paper presents an innovative Artificial Immune System-inspired Multiobjective Evolutionary Algorithm. This distributed intrusion detection system (IDS) is intended to measure …

Meet And Join In The Weak Order Lattice, Adam J. Hammett, Boris Pittel

Science and Mathematics Faculty Publications

No abstract provided.

Entrepreneurial Opportunities And Market Analysis Of The Information Technology And Software Development Sector Of Pakistan, Toshio Fujita, Hassan Tajuddin

Business Review

This study investigates the Information Technology and the Software Development sector of Pakistan. It discusses the reasons for the lack of trust in Pakistani IT companies and different problems faced by an entrepreneur starting an IT company in Pakistan. The data was analyzed by qualitative content analysis. The findings are discussed with reference to previous research, and implications for entrepreneurial setups are noted.

Incidence, Patterns And Severity Of Reported Unintentional Injuries In Pakistan For Persons Five Years And Older: Results Of The National Health Survey Of Pakistan 1990–94, Zafar Fatmi, Wilbur C. Hadden, Junaid A. Razzak, Huma Qureshi, Adnan A. Hyder, Gregory Pappas

Community Health Sciences

Background

National level estimates of injuries are not readily available for developing countries. This study estimated the annual incidence, patterns and severity of unintentional injuries among persons over five years of age in Pakistan.

Methods

National Health Survey of Pakistan (NHSP 1990–94) is a nationally representative survey of the household. Through a two-stage stratified design, 18, 315 persons over 5 years of age were interviewed to estimate the overall annual incidence, patterns and severity of unintentional injuries for males and females in urban and rural areas over the preceding one year. Weighted estimates were computed adjusting for complex survey design …

A Spitzer White Dwarf Infrared Survey, F. Mullally, Ted Von Hippel, Et Al.

Publications

We present mid-infrared photometry of 124 white dwarf stars with the Spitzer Space Telescope. Objects were observed simultaneously at 4.5 and 8.0 μm with sensitivities better than 0.1 mJy. This data set can be used to test models of white dwarf atmospheres in a new wavelength regime, as well as to search for planetary companions and debris disks.

Green Crab Management: Reduction Of A Marine Invasive Population, Catherine E. De Rivera, Edwin D. Grosholz, Greg Ruiz, Amy A. Larson, Rebecca L. Kordas, Mark Sytsma

Environmental Science and Management Faculty Publications and Presentations

The overall goal of this study is to develop and demonstrate the capacity for local eradication of adult Carcinus maenas, European green crabs. This represents a conceptual shift in development of management options to address established invasions in marine systems, extending and exploring the application of terrestrial successes in this area. Specifically, this project tests the effects of removing green crabs from Bodega Harbor on the green crab population and on native shore crabs eaten by green crabs.

Botanical Survey Of Fuel Reduction Areas On The Pine Ridge Ranger District Of The Nebraska National Forest, Steven B. Rolfsmeier, Leslie Stewart-Phelps

Nebraska Game and Parks Commission: White Papers, Conference Presentations, and Manuscripts

Between May and September 2006, surveys of selected areas on the Pine Ridge Unit of the Pine Ridge Ranger District in the Nebraska National Forest were carried out to document the presence of vascular plant species of known or potential conservation concern. The surveys were done in response to a request for botanical information to include in hazardous fuel projects in the East Ash and West Ash drainages. These 2006 surveys concentrated primarily on these drainages, though small forested areas were also examined in the Deadhorse Creek and Indian Creek drainages. (Data from these sites are included in the following …

Game Theoretical Data Replication Techniques For Large-Scale Autonomous Distributed Computing Systems, Samee Ullah Khan

Computer Science and Engineering Dissertations

Data replication in geographically dispersed servers is an essential technique for reducing the user perceived access time in large-scale distributed computing systems. A majority of the conventional replica placement techniques lack scalability and solution quality. To counteract such issues, this thesis proposes a game theoretical replica placement framework, in which autonomous agents compete for the allocation or reallocation of replicas onto their representative servers in a self-managed fashion. Naturally, each agent's goal is to maximize its own benefit. However, the framework is designed to suppress individualism and to ensure system-wide optimization. Using this framework as an environment, several cooperative and …

Mechanism Of Rate-Limiting Motions In Enzyme Function, Eric D. Watt, Hiroko Shimada, Evgueni Kovriguine, J. Patrick Loria

Chemistry Faculty Research and Publications

The ability to use conformational flexibility is a hallmark of enzyme function. Here we show that protein motions and catalytic activity in a RNase are coupled and display identical solvent isotope effects. Solution NMR relaxation experiments identify a cluster of residues, some distant from the active site, that are integral to this motion. These studies implicate a single residue, histidine-48, as the key modulator in coupling protein motion with enzyme function. Mutation of H48 to alanine results in loss of protein motion in the isotope-sensitive region of the enzyme. In addition, k _cat decreases for this mutant and the kinetic …

Near-Duplicate Keyframe Retrieval With Visual Keywords And Semantic Context, Xiao Wu, Wan-Lei Zhao, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Near-duplicate keyframes (NDK) play a unique role in large-scale video search, news topic detection and tracking. In this paper, we propose a novel NDK retrieval approach by exploring both visual and textual cues from the visual vocabulary and semantic context respectively. The vocabulary, which provides entries for visual keywords, is formed by the clustering of local keypoints. The semantic context is inferred from the speech transcript surrounding a keyframe. We experiment the usefulness of visual keywords and semantic context, separately and jointly, using cosine similarity and language models. By linearly fusing both modalities, performance improvement is reported compared with the …

Appraisal - Who Needs It?, M. Thulasidas

Research Collection School Of Computing and Information Systems

WE GO through this ordeal every year when our boss- es appraise our performance. Our career progression, bonus and salary depend on it. So, we spend sleepless nights agonising over it.

Learning Causal Models For Noisy Biological Data Mining: An Application To Ovarian Cancer Detection, Ghim-Eng Yap, Ah-Hwee Tan, Hwee Hwa Pang

Research Collection School Of Computing and Information Systems

Undetected errors in the expression measurements from highthroughput DNA microarrays and protein spectroscopy could seriously affect the diagnostic reliability in disease detection. In addition to a high resilience against such errors, diagnostic models need to be more comprehensible so that a deeper understanding of the causal interactions among biological entities like genes and proteins may be possible. In this paper, we introduce a robust knowledge discovery approach that addresses these challenges. First, the causal interactions among the genes and proteins in the noisy expression data are discovered automatically through Bayesian network learning. Then, the diagnosis of a disease based on …