Enhancing A Cluster-Based Tdma Mac Protocol For Vehicle-To-Vehicle Communications,
2020
Universiti Malaya
Enhancing A Cluster-Based Tdma Mac Protocol For Vehicle-To-Vehicle Communications, Abubakar Bello Tambawal
Student Works (2020-2029)
Vehicular Ad hoc Network technology (VANET) is one of the emerging and promising wireless technology, providing support for vehicles to communicate and share resources, (such as safety messages) through vehicle-to-vehicle (V2V) communications. Sequel to that the Time Division Multiple Access (TDMA) MAC protocol using a cluster-based topology has been proposed by the research community. Most of the existing research works focused on the cluster head (CH) election with very few addressing other critical issues, including cluster formation, efficient time slot allocation, and cluster maintenance. These challenges result in an unstable cluster, which could affect the timely delivery of safety applications. …
Anatomy Of The Edelman: Measuring The World’S Best Analytics Projects,
2020
University of Dayton
Anatomy Of The Edelman: Measuring The World’S Best Analytics Projects, Michael F. Gorman, Lakshminarayana Nittala, Jeffrey M. Aldenb
MIS/OM/DS Faculty Publications
Each year, the INFORMS Edelman Award celebrates the best and most impactful implementations of operations research, management science, and analytics. As the Edelman Award approaches its 50-year mark, we provide a history and characterization of the award’s finalists and winners. We provide some basic descriptive analytics about the participating organizations and authors, the impact of their work, and the methods they employed. We also conduct predictive analytics on finalist submissions, gauging contributors to success in establishing winning entries. We find that predicting Edelman winners a priori is extremely difficult; however, given a set of finalists, predictive models based on monetary …
Extraction D’Information À Partir Des Sites Web En Arabe Basée Sur Une Méthode À Base Des Règles,
2020
Lebanese University
Extraction D’Information À Partir Des Sites Web En Arabe Basée Sur Une Méthode À Base Des Règles, Moustafa Alhajj, Amani Sabra
Al Jinan الجنان
Cet article décrit un outil qui se sert de l’ingénierie de la langue pour l’extraction d’information à partir des sites web en arabe, Ces informations serviront aux documentalistes du Web poue créer des fches d’archivage pour les sites. Une fche d’archivage est proposée, l’objectif étant de remplir cette fche automatiquement. Pour la reconnaissance et la classifcation des segments textuels, la méthode d’exploration contextuelle proposée par Descles est utilisée, les marqueurs et règles linguistiques sont défnis en se basant sur une étude synthétique des spécifcités de la langue arabe. Un corpus de plus de 1300 sites Web en langue arabe a …
خوارزمية لاستخراج أسماء رواة الحديث النبوي آليا اعتمادا على صيغ الإخبار في السند,
2020
Jinan University
خوارزمية لاستخراج أسماء رواة الحديث النبوي آليا اعتمادا على صيغ الإخبار في السند, Omar Koussa, Moustafa Alhajj, Amani Sabra
Al Jinan الجنان
لمّا كان للحديث النبوي الشريف ولعلم الرواية الأثر الواضح في اللغة العربية؛ آثرنا أن نضع بصمتنا في هذا المجال، فقمنا بعمل تطبيق للتعرّف الآلي على أسماء الرواة عبر الاستعانة باللسانيات الحاسوبية. تكمن أهمية هذا العمل في تسهيله استخراج أسماء الرواة خدمة للدارسين في علم الحديث، كذلك سيُشكل هذا العمل نواة لأعمال لاحقة في التصنيف الآلي للرواة، طبقا للتصانيف المقررة في هذا العلم
Assessing Topical Homogeneity With Word Embedding And Distance Matrices,
2020
Syracuse University
Assessing Topical Homogeneity With Word Embedding And Distance Matrices, Jeffrey M. Stanton, Yisi Sang
School of Information Studies - Faculty Scholarship
Researchers from many fields have used statistical tools to make sense of large bodies of text. Many tools support quantitative analysis of documents within a corpus, but relatively few studies have examined statistical characteristics of whole corpora. Statistical summaries of whole corpora and comparisons between corpora have potential application in the analysis of topically organized applications such social media platforms. In this study, we created matrix representations of several corpora and examined several statistical tests to make comparisons between pairs of corpora with respect to the topical homogeneity of documents within each corpus. Results of three experiments suggested that a …
Chapter 7: Essential Aspects Of Physical Design And Implementation Of Relational Databases,
2020
CUNY New York City College of Technology
Chapter 7: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana
Open Educational Resources
No abstract provided.
Chapter 6: Essential Aspects Of Physical Design And Implementation Of Relational Databases,
2020
CUNY New York City College of Technology
Chapter 6: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana
Open Educational Resources
No abstract provided.
Chapter 4: Essential Aspects Of Physical Design And Implementation Of Relational Databases,
2020
CUNY New York City College of Technology
Chapter 4: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana
Open Educational Resources
No abstract provided.
Testing Mediation Via Indirect Effects In Pls-Sem: A Social Networking Site Illustration,
2020
The University of Texas Rio Grande Valley
Testing Mediation Via Indirect Effects In Pls-Sem: A Social Networking Site Illustration, Murad Moqbel, Rakesh Guduru, Ahasan Harun
Information Systems Faculty Publications
Mediation analysis, in the context of structural equation modeling via partial least squares (PLSSEM), affords a better understanding of the relationships among independent and dependent variables, when the variables seem to not have a definite connection. In this paper, we demonstrate such an analysis in the context of social networking sites, using WarpPLS, a leading PLS-SEM software tool.
Chapter 3: Essential Aspects Of Physical Design And Implementation Of Relational Databases,
2020
CUNY New York City College of Technology
Chapter 3: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana
Open Educational Resources
No abstract provided.
Chapter 2: Essential Aspects Of Physical Design And Implementation Of Relational Databases,
2020
CUNY New York City College of Technology
Chapter 2: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana
Open Educational Resources
No abstract provided.
Chapter 5: Essential Aspects Of Physical Design And Implementation Of Relational Databases,
2020
CUNY New York City College of Technology
Chapter 5: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana
Open Educational Resources
No abstract provided.
Chapter 1: Essential Aspects Of Physical Design And Implementation Of Relational Databases,
2020
CUNY New York City College of Technology
Chapter 1: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana
Open Educational Resources
No abstract provided.
Tpr: Text-Aware Preference Ranking For Recommender Systems,
2020
Singapore Management University
Tpr: Text-Aware Preference Ranking For Recommender Systems, Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Textual data is common and informative auxiliary information for recommender systems. Most prior art utilizes text for rating prediction, but rare work connects it to top-N recommendation. Moreover, although advanced recommendation models capable of incorporating auxiliary information have been developed, none of these are specifically designed to model textual information, yielding a limited usage scenario for typical user-to-item recommendation. In this work, we present a framework of text-aware preference ranking (TPR) for top-N recommendation, in which we comprehensively model the joint association of user-item interaction and relations between items and associated text. Using the TPR framework, we construct a joint …
Towards Locality-Aware Meta-Learning Of Tail Node Embeddings On Networks,
2020
Singapore Management University
Towards Locality-Aware Meta-Learning Of Tail Node Embeddings On Networks, Zemin Liu, Wentao Zhang, Yuan Fang, Xinming Zhang, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
Network embedding is an active research area due to the prevalence of network-structured data. While the state of the art often learns high-quality embedding vectors for high-degree nodes with abundant structural connectivity, the quality of the embedding vectors for low-degree or tail nodes is often suboptimal due to their limited structural connectivity. While many real-world networks are long-tailed, to date little effort has been devoted to tail node embedding. In this paper, we formulate the goal of learning tail node embeddings as a few-shot regression problem, given the few links on each tail node. In particular, since each node resides …
Information Literacy Skills And The Use Of E-Library Resources Among Undergraduates In South-West Nigeria,
2020
Trinity University Yaba Lagos
Information Literacy Skills And The Use Of E-Library Resources Among Undergraduates In South-West Nigeria, Paul Adeoye Omosebi, Fehintoluwa E. Omosebi .
Library Philosophy and Practice (e-journal)
This study is a correlational survey study which investigates information literacy skills and the use of E-library resources among business administration undergraduates in south-west Nigeria. A sample size of 900 respondents was used but 800 questionnaires were retrieved. The target population for the study comprised of undergraduate business administration students in private universities in Southwest Nigeria. A simple random sampling technique was adopted for the purpose of this study. The questionnaire was the main instrument used for data collection and was divided into three sections namely demographic characteristics, information literacy and use of e-library among students in the private universities …
Presentation Of Computer Security Risk Information: Impact Of Framing And Base Size,
2020
Singapore Management University
Presentation Of Computer Security Risk Information: Impact Of Framing And Base Size, Xinhui Zhan, Fiona Fui-Hoon Nah, Keng Siau, Richard Hall, Maggie Cheng
Research Collection School Of Computing and Information Systems
This research explores how the presentation of computer security risks impacts users’ risk perceptions and behavior. It draws on Prospect Theory to generate hypotheses related to users’ decision-making in the computer security context. A 2 × 3 mixed factorial experimental design (N = 178) was carried out and the results show that framing and base size of information on computer security risks influence users’ perceived risk and risk-taking behavior. More specifically, negative framing and large base size increase users’ perceived risk and reduce users’ risk-taking behavior. The findings from this research suggest that using negative framing and large base size …
Meta-Rcnn: Meta Learning For Few-Shot Object Detection,
2020
Singapore Management University
Meta-Rcnn: Meta Learning For Few-Shot Object Detection, Xiongwei Wu, Doyen Sahoo, Steven Hoi
Research Collection School Of Computing and Information Systems
Despite significant advances in deep learning based object detection in recent years, training effective detectors in a small data regime remains an open challenge. This is very important since labelling training data for object detection is often very expensive and time-consuming. In this paper, we investigate the problem of few-shot object detection, where a detector has access to only limited amounts of annotated data. Based on the meta-learning principle, we propose a new meta-learning framework for object detection named "Meta-RCNN", which learns the ability to perform few-shot detection via meta-learning. Specifically, Meta-RCNN learns an object detector in an episodic learning …
Federated Topic Discovery: A Semantic Consistent Approach,
2020
Singapore Management University
Federated Topic Discovery: A Semantic Consistent Approach, Yexuan Shi, Yongxin Tong, Zhiyang Su, Di Jiang, Zimu Zhou, Wenbin Zhang
Research Collection School Of Computing and Information Systems
General-purpose topic models have widespread industrial applications. Yet high-quality topic modeling is becoming increasingly challenging because accurate models require large amounts of training data typically owned by multiple parties, who are often unwilling to share their sensitive data for collaborative training without guarantees on their data privacy. To enable effective privacy-preserving multiparty topic modeling, we propose a novel federated general-purpose topic model named private and consistent topic discovery (PC-TD). On the one hand, PC-TD seamlessly integrates differential privacy in topic modeling to provide privacy guarantees on sensitive data of different parties. On the other hand, PC-TD exploits multiple sources of …
Cross-Domain Cross-Modal Food Transfer,
2020
Singapore Management University
Cross-Domain Cross-Modal Food Transfer, Bin Zhu, Chong-Wah Ngo, Jingjing Chen
Research Collection School Of Computing and Information Systems
The recent works in cross-modal image-to-recipe retrieval pave a new way to scale up food recognition. By learning the joint space between food images and recipes, food recognition is boiled down as a retrieval problem by evaluating the similarity of embedded features. The major drawback, nevertheless, is the difficulty in applying an already-trained model to recognize different cuisines of dishes unknown to the model. In general, model updating with new training examples, in the form of image-recipe pairs, is required to adapt a model to new cooking styles in a cuisine. Nevertheless, in practice, acquiring sufficient number of image-recipe pairs …
