Physical Sciences and Mathematics Commons^™

Stock Market Trend Forecasting Based On Multiple Textual Features: A Deep Learning Method, Zhenda Hu, Zhaoxia Wang, Seng-Beng Ho, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Stock market trend forecasting is a valuable and challenging research task for both industry and academia. In order to explore the influence of stock news information on the stock market trend, a textual embedding construction method is proposed to encode multiple textual features, including topic features, sentiment features, and semantic features extracted from stock news textual content. In addition, a deep learning method is designed by using financial data and multiple textual features obtained from multiple news textual embeddings for short-term stock market trend prediction. For evaluation, extensive experiments on real stock market data are conducted. The experimental results illustrate …

Contrastive Pre-Training Of Gnns On Heterogeneous Graphs, Xunqiang Jiang, Yuanfu Lu, Yuan Fang, Chuan Shi

Research Collection School Of Computing and Information Systems

While graph neural networks (GNNs) emerge as the state-of-the-art representation learning methods on graphs, they often require a large amount of labeled data to achieve satisfactory performance, which is often expensive or unavailable. To relieve the label scarcity issue, some pre-training strategies have been devised for GNNs, to learn transferable knowledge from the universal structural properties of the graph. However, existing pre-training strategies are only designed for homogeneous graphs, in which each node and edge belongs to the same type. In contrast, a heterogeneous graph embodies rich semantics, as multiple types of nodes interact with each other via different kinds …

Finding A Needle In A Haystack: Automatic Mining Of Silent Vulnerability Fixes, Jiayuan Zhou, Michael Pacheco, Zhiyuan Wan, Xin Xia, David Lo, Yuan Wang, Ahmed E. Hassan

Research Collection School Of Computing and Information Systems

Following the coordinated vulnerability disclosure model, a vulnerability in open source software (OSS) is suggested to be fixed “silently”, without disclosing the fix until the vulnerability is disclosed. Yet, it is crucial for OSS users to be aware of vulnerability fixes as early as possible, as once a vulnerability fix is pushed to the source code repository, a malicious party could probe for the corresponding vulnerability to exploit it. In practice, OSS users often rely on the vulnerability disclosure information from security advisories (e.g., National Vulnerability Database) to sense vulnerability fixes. However, the time between the availability of a vulnerability …

Patchnet: Hierarchical Deep Learning-Based Stable Patch Identification For The Linux Kernel, Thong Hoang, Julia Lawall, Yuan Tian, Richard J. Oentaryo, David Lo

Research Collection School Of Computing and Information Systems

Linux kernel stable versions serve the needs of users who value stability of the kernel over new features. The quality of such stable versions depends on the initiative of kernel developers and maintainers to propagate bug fixing patches to the stable versions. Thus, it is desirable to consider to what extent this process can be automated. A previous approach relies on words from commit messages and a small set of manually constructed code features. This approach, however, shows only moderate accuracy. In this paper, we investigate whether deep learning can provide a more accurate solution. We propose PatchNet, a hierarchical …

Cs-Light: Camera Sensing Based Occupancy-Aware Robust Smart Building Lighting Control, Anuradha Ravi, Kasun Pramuditha Gamlath, Siyan Hu, Archan Misra

Research Collection School Of Computing and Information Systems

We describe the practical development of a smart lighting control system, CS-Light, that uses a preexisting surveillance camera infrastructure as the sole sensing substrate. At a high level, the camera feeds are used to both (a) estimate the illuminance of individual, fine-grained (roughly 12m2) sub-regions, and (b) identify sub-regions that have non-transient human occupancy. Subsequently, these estimates are used to perform fine-grained (non-binary) power optimization of a set of LED luminaires, collectively minimizing energy consumption while assuring comfort to human occupants. The key to our approach is the ability to tackle the challenging problem of translating the luminance (pixel intensity) …

Learning To Teach And Learn For Semi-Supervised Few-Shot Image Classification, Xinzhe Li, Jianqiang Huang, Yaoyao Liu, Qin Zhou, Shibao Zheng, Bernt Schiele, Qianru Sun

Research Collection School Of Computing and Information Systems

This paper presents a novel semi-supervised few-shot image classification method named Learning to Teach and Learn (LTTL) to effectively leverage unlabeled samples in small-data regimes. Our method is based on self-training, which assigns pseudo labels to unlabeled data. However, the conventional pseudo-labeling operation heavily relies on the initial model trained by using a handful of labeled data and may produce many noisy labeled samples. We propose to solve the problem with three steps: firstly, cherry-picking searches valuable samples from pseudo-labeled data by using a soft weighting network; and then, cross-teaching allows the classifiers to teach mutually for rejecting more noisy …

Pruning Meta-Trained Networks For On-Device Adaptation, Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele

Research Collection School Of Computing and Information Systems

Adapting neural networks to unseen tasks with few training samples on resource-constrained devices benefits various Internet-of-Things applications. Such neural networks should learn the new tasks in few shots and be compact in size. Meta-learning enables few-shot learning, yet the meta-trained networks can be overparameterised. However, naive combination of standard compression techniques like network pruning with meta-learning jeopardises the ability for fast adaptation. In this work, we propose adaptation-aware network pruning (ANP), a novel pruning scheme that works with existing meta-learning methods for a compact network capable of fast adaptation. ANP uses weight importance metric that is based on the sensitivity …

Global 3d Radiation Hydrodynamic Simulations Of Proto-Jupiter’S Convective Envelope, Zhaohuan Zhu, Yan-Fei Jiang, Hans Baehr, Andrew N. Youdin, Philip J. Armitage, Rebecca G. Martin

Physics & Astronomy Faculty Research

The core accretion model of giant planet formation has been challenged by the discovery of recycling flows between the planetary envelope and the disc that can slow or stall envelope accretion. We carry out 3D radiation hydrodynamic simulations with an updated opacity compilation to model the proto-Jupiter’s envelope. To isolate the 3D effects of convection and recycling, we simulate both isolated spherical envelopes and envelopes embedded in discs. The envelopes are heated at given rates to achieve steady states, enabling comparisons with 1D models. We vary envelope properties to obtain both radiative and convective solutions. Using a passive scalar, we …

Toponym-Assisted Map Georeferencing: Evaluating The Use Of Toponyms For The Digitization Of Map Collections, Karim Bahgat, Daniel Runfola

Arts & Sciences Articles

A great deal of information is contained within archival maps—ranging from historic political boundaries, to mineral resources, to the locations of cultural landmarks. There are many ongoing efforts to preserve and digitize historic maps so that the information contained within them can be stored and analyzed efficiently. A major barrier to such map digitizing efforts is that the geographic location of each map is typically unknown and must be determined through an often slow and manual process known as georeferencing. To mitigate the time costs associated with the georeferencing process, this paper introduces a fully automated method based on map …

Galaxy And Mass Assembly (Gama): The Merging Potential Of Brightest Group Galaxies, K. Banks, S. Brough, Benne Holwerda, A. M. Hopkins, Á. R. López-Sánchez, S. Phillipps, K. A. Pimbblet, A. S. G. Robotham

Faculty and Staff Scholarship

Using a volume-limited sample of 550 groups from the Galaxy And Mass Assembly Galaxy Group Catalogue spanning the halo mass range , we investigate the merging potential of central Brightest Group Galaxies (BGGs). We use spectroscopically confirmed close-companion galaxies as an indication of the potential stellar mass buildup of low-redshift BGGs, z ≤ 0.2. We identify 17 close-companion galaxies with projected separations rp < 30 kpc, relative velocities Δv ≤ 300 km s−1, and stellar mass ratios MBGG/MCC ≤ 4 relative to the BGG. These close-companion galaxies yield a total pair fraction of 0.03 ± 0.01. Overall, we find that BGGs …

Analytical Models For Traffic Congestion And Accident Analysis, Hongrui Liu, Rahul Ramachandra Shetty

Mineta Transportation Institute

In the US, over 38,000 people die in road crashes each year, and 2.35 million are injured or disabled, according to the statistics report from the Association for Safe International Road Travel (ASIRT) in 2020. In addition, traffic congestion keeping Americans stuck on the road wastes millions of hours and billions of dollars each year. Using statistical techniques and machine learning algorithms, this research developed accurate predictive models for traffic congestion and road accidents to increase understanding of the complex causes of these challenging issues. The research used US Accidents data consisting of 49 variables describing 4.2 million accident records …

Medication Calculations Dimensional Analysis Tutorial, Jennifer Emilie Mannino Ph.D., R.N., Elizabeth Cotter Ph.D, R.N.

Faculty Works: NUR (2010-2023)

Tutorial on medication calculations from The Barbara H Hagan School of Nursing and Allied Sciences.

Building Legal Datasets, Jerrold Soh

Research Collection Yong Pung How School Of Law

Data-centric AI calls for better, not just bigger, datasets. As data protection laws with extra-territorial reach proliferate worldwide, ensuring datasets are legal is an increasingly crucial yet overlooked component of “better”. To help dataset builders become more willing and able to navigate this complex legal space, this paper reviews key legal obligations surrounding ML datasets, examines the practical impact of data laws on ML pipelines, and offers a framework for building legal datasets.

Development Of Sensor, Sensory System And Signal Processing Algorithm For Intelligent Sensing Applications, Xingzhe Zhang

Dissertations

Sensors have been receiving significant attention in the last decade and the demand for sensory systems has increased in recent years due to the rapid growth in the field of artificial intelligence (AI). Sensors can improve people’s awareness by providing them with real-time information on the environment and their immediate health conditions. This dissertation presents the fulfilment of three main projects and focuses on the development of a sensor, a sensory system, and a sensor signal recognition system for AI applications by employing printed electronics, analog circuit design, and digital signal processing techniques.

In the first project, a multi-channel stethograph …

Informing Wetland Management With Waterfowl Movement And Sanctuary Use Responses To Human-Induced Disturbance, Fiona Mcduie, Austen A. Lorenz, Robert C. Klinger, Cory T. Overton, Cliff L. Feldheim, Joshua T. Ackerman, Michael L. Casazza

Faculty Research, Scholarly, and Creative Activity

Long-term environmental management to prevent waterfowl population declines is informed by ecology, movement behavior and habitat use patterns. Extrinsic factors, such as human-induced disturbance, can cause behavioral changes which may influence movement and resource needs, driving variation that affects management efficacy. To better understand the relationship between human-based disturbance and animal movement and habitat use, and their potential effects on management, we GPS tracked 15 dabbling ducks in California over ~4-weeks before, during and after the start of a recreational hunting season in October/November 2018. We recorded locations at 2-min intervals across three separate 24-h tracking phases: Phase 1) two …

Prediction Of Dry Matter Intake Based On Ruminal Degradation From Milking Cows Grazing Coast-Cross Grass, T. T. Berchielli, J. P. G. Soares, L. J. M. Aroeira, C. L. Furlan, A. K. D. Salman, R. N. Da Silveira, E. B. Malheiros

IGC Proceedings (1993-2023)

Dry matter intake (DMI) of coast-cross grazing by crossbred Holstein-Zebu and Zebu lactating cows was calculated using in vitro dry matter digestibility from extrusa (four esophageal fistulated cows) and fecal output estimate with mordent chromium. Pasture was rotationally grazed with three days grazing period and 27 days resting period, adopting a stocking rate of 1.6 and 3.2 cows/ha, during the dry and rainy season respectively. Voluntary DMI was estimated from degradation characteristics using different equations. Predicted coast-cross DMI varied with models. The prediction of tropical forages dry matter intake from equations based in ruminal degradation parameters needs further investigation before …

Forage Quality, Yield And Palatability Of Quackgrass (Elytrigia Repens (L.) Nevski), T. Yagi, R. Meguro, E. Fukuda

IGC Proceedings (1993-2023)

Quackgrass (Elytrigia repens (L.) Nevski) is a competitive perennial invader of pastures and hay meadows which is frequently harvested as forage in mixtures with desired forage species. Field experiments were conducted to compare quackgrass with cool-season perennial grasses grown under the same soil and climatic conditions, in terms of forage quality, productivity, and palatability. The forage quality of the hays was influenced by the grass species. Quackgrass showed forage crude protein (CP) concentration that was equal to those of perennial ryegrass (Lolium perenne), reed canarygrass (Phalaris arundinacea) and Kentucky bluegrass (Poa pratensis), and …

In Vitro Gas Production Technique To Predict Dmd Of Ensiled Forage Ruminant Based Diets, M. Wawrzkiewicz, J. L. Danelón, G. Jaurena

IGC Proceedings (1993-2023)

The in vitro gas production technique was used as a tool to develop an improved prediction model of dry matter digestibility of ensiled forage based diets. Eleven diets were tested through conventional experiments of in vivo dry matter digestibility (DMD). The same diets were evaluated by the in vitro gas production technique using a gas pressure transducer . The parameters of the model y = A - B Q^t Z^√t were calculated with data from the accumulated gas curves, i.e. y=cumulative gas production (ml), Q=e^-b, Z=e^-c, B=e^bT+c√T , being …

Amaranth Productivity And Nutrient Composition In Central Georgia, W. F. Whitehead, Thomas H. Terrill, B. P. Singh, S. Gelaye

IGC Proceedings (1993-2023)

Amaranth (Amaranthus spp.) may have potential as a forage for summer grazing in the southeastern United States (US). Six accessions of amaranth were harvested at bud stage in two successive growing seasons to evaluate growth characteristics, yield, and forage quality parameters. The accessions, three genotypes of A. tricolor (Hinchoy VL, RRC-701, RRC-1186) and one each of A. hybridus (RRC-843), A. cruentus (RRC-1034), and A. dubius (RRC-1186) were evaluated in 1994 and 1995 on a Dothan sandy loam (fine loamy, siliceous, thermic, Plinthic Paleudult) soil at the Fort Valley State University Research Station, Fort Valley, Georgia. The plots were planted …

Supplementation With Brosimum Alicastrum Swartz To Pelibuey Sheep Fed Low Quality Rations, Luis Ramírez-Avilés, V. Valdivia-Salgado, Juan C. Ku-Vera

IGC Proceedings (1993-2023)

The objective of the present study was to assess the influence of supplementing increasing levels of ramón (Brosimum alicastrum) foliage to Pelibuey sheep fed guinea grass (Panicum maximum) hay. Rate and extent of rumen degradation of organic matter (OM) and crude protein (CP) of ramón foliage were high. Dry matter (DM) intake of the diet was increased by the inclusion of ramón foliage. However, rate and extent of digestion of guinea grass was not affected by the ramón foliage. Rate of passage of solid was linearly increased as a result of the inclusion of ramón foliage …

Mgrre_Pureoilscouttickets_Lewis_1_21127023980000, Mgrre

Legacy Scout Tickets from Pure Oil Company

No abstract provided.

Floodplain Forests Vegetation Dynamics Driven By Water Deficits Across Scales, Nga Thanh Nguyen

LSU Doctoral Dissertations

Restoration of floodplain ecosystems relies on identifying the most crucial hydrologic process which has been altered by human and climate. Flooding is a well-known dominant hydrologic process for floodplain ecosystems, but surprisingly little is known about drought's role in structuring ecosystems. In addition, several issues remained uncertain, such as the nature of drought within floodplains and the sensitivity of floodplain species-specific growth to climate. These gaps of understanding have in common in missing observations of mechanistic pathways of vegetation response to water deficits at multiple scales in time and space.Generally, this research contributed to floodplain management by expanding our understanding …

Fuzzy Multi Criteria Decision Making Approach For Technology Selection For Emissions Reduction From Seaborne Transportation Under Uncertainty And Vagueness, Rachid Mouaici

World Maritime University Dissertations

No abstract provided.

Aqueous Formulations Of 1h-Cyclopropabenzene Modulate Ethylene Production And Fruit Quality In Japanese Plums, Poe N. Kyaw, Zora Singh, Vijay Y. Tokala

Research outputs 2014 to 2021

The efficacy of aqueous formulations of 1H-cyclopropabenzene (BC) containing different adjuvants to retard ethylene production and maintain fruit quality of Japanese plums (Prunus salicina Lindl. cvs. ‘Angeleno’, ‘Fortune’ and ‘Tegan Blue’) following 25 d and 40 d cold storage (1 °C) was evaluated. Plum fruit were sprayed with different solutions of 2 μM BC (i.e., aqueous solutions containing distilled water only or 5 % ethanol or 0.02 % Tween® 20 or 5 % β-cyclodextrin) or fumigated with 1 μM BC at ambient temperature. Plum fruit without any treatment were regarded as control. Regardless of the cultivars tested, all formulations of …

Impacts Of Oil Pollution On The Atlantic Coast Of Cameroon, Gwendoline Akeng

World Maritime University Dissertations

No abstract provided.

Ship Recycling In Ghana: An Analysis Of The Implementation Of The Hong Kong Convention, 2009, Nii Lantei Kumi-Bruce

World Maritime University Dissertations

No abstract provided.

Policy Response For Marine Plastic Debris In Timor Leste, Maria Jeronimo Viana

World Maritime University Dissertations

No abstract provided.

Retaining Competitive Advantage In Ship Recycling Under The New Regulatory Framework: A Case Study Of Bangladesh, Wahidul Sheikh

World Maritime University Dissertations

No abstract provided.

Fuel Oil Bunkering Mechanism And Ways Ahead In Strategic Enforcement, Sudhir Kumar Shrivastava

World Maritime University Dissertations

No abstract provided.

The Implementation Of The Ballast Water Management Convention In Timor-Leste, Domingos Ximenes Nunes

World Maritime University Dissertations

No abstract provided.