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3rd International Conference on Image Processing and Vision Engineering, IMPROVE 2023

作者： Chen, Jin Ramnath, Satesh Samaroo, Tyron Maksakuli, Fani Ruci, Arber Sturdivant, E’edresha Zhu, Zhigang Nearabl Inc New YorkNY10023 United States Computer Science Department The City College of New York - CUNY New YorkNY10031 United States PhD Program in Computer Science The Graduate Center - CUNY New YorkNY10016 United States

ISBN: (纸本)9789897586422

This paper presents a mobile-based solution that integrates 3D vision and voice interaction to assist people who are blind or have low vision to explore and interact with their surroundings. The key components of the system are the two 3D vision modules: the 3D object detection module integrates a deep-learning based 2D object detector with ARKit-based point cloud generation, and an interest direction recognition module integrates hand/finger recognition and ARKit-based 3D direction estimation. The integrated system consists of a voice interface, a task scheduler, and an instruction generator. The voice interface contains a customized user request mapping module that maps the user’s input voice into one of the four primary system operation modes (exploration, search, navigation, and settings adjustment). The task scheduler coordinates with two web services that host the two vision modules to allocate resources for computation based on the user request and network connectivity strength. Finally, the instruction generator computes the corresponding instructions based on the user request and results from the two vision modules. The system is capable of running in real time on mobile devices. We have shown preliminary experimental results on the performance of the voice to user request mapping module and the two vision modules. © 2023 by SCITEPRESS – science and Technology Publications, Lda.

关键词： Palmprint recognition

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Amharic Semantic Information Retrieval System 1

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12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020

作者： Yeshambel, Tilahun Mothe, Josiane Assabie, Yaregal IT PhD Program Addis Ababa University Addis Ababa Ethiopia INSPE Univ. de Toulouse IRIT UMR5505 CNRS Toulouse France Department of Computer Science Addis Ababa University Addis Ababa Ethiopia

ISBN: (数字)9783031146022

ISBN: (纸本)9783031146015

Amharic is the official language of Ethiopia, currently having a population of over 118 million. Developing effective information retrieval (IR) system for Amharic has been a challenging task due to limited resources coupled with complex morphology of the language. This paper presents the development of Amharic semantic IR system using query expansion based on deep neural learning model and WordNet. In order to optimize the retrieval result, we propose Amharic text representation using root forms of words applied for stopword identification, indexing, term matching and query expansion. Comparisons are made with the conventional stem-based text representation for information retrieval, and we show that using the root forms of words is better for both resource construction and system development. The effectiveness of the proposed Amharic semantic IR system is evaluated on Amharic Adhoc Information Retrieval Test Collection (2AIRTC). © 2022, Springer Nature Switzerland AG.

关键词： Information retrieval

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Evaluation of Corpora, Resources and Tools for Amharic Information Retrieval 8th

Evaluation of Corpora, Resources and Tools for Amharic Infor...

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8th EAI International Conference on Advancement of science and Technology, ICAST 2020

ISBN: (纸本)9783030806200

Amharic is the working language of Ethiopia. It is the second-most commonly spoken Semitic language in the world next to Arabic. Amharic is morphologically complex and under-resourced, which poses tremendous challenges for natural language processing. The development of fully functional Amharic text processing applications is a non-trivial task for researchers and developers. Despite attempts to develop some applications, lack of standards in corpus collection and resource development resulted in the problem of interoperability. The aim of this paper is to present and evaluate the accessibility of Amharic corpora, resources and tools with the purpose of highlighting the status of Amharic language processing applications. We present available resources and linguistic tools, assess their usability and effectiveness, investigate the implications of the morphological complexity and put the way forward in the development of Amharic text processing applications. © 2021, ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Text processing

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Construction of Morpheme-Based Amharic Stopword List for Information Retrieval System 8th

Construction of Morpheme-Based Amharic Stopword List for Inf...

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8th EAI International Conference on Advancement of science and Technology, ICAST 2020

ISBN: (纸本)9783030806200

One of the major forms of pre-processing in information retrieval and many other text processing applications is filtering out stopwords. They are ignored by many retrieval systems during indexing and retrieval in order to enhance retrieval effectiveness and efficiency. The aim of this paper is to present the construction of morpheme-based Amharic stopwords and investigate their effect on information retrieval tasks. The stopword list is constructed based on the semantics of Amharic words and corpus statistics: frequency, mean, variance, and entropy parameters. The stopword list is evaluated using Lemur on Amharic information retrieval test collection. Removal of stopwords has shown significant impact on retrieval effectiveness, size of index and term weighting of non-stopwords. On the other hand, their presence in index and query negatively affects the retrieval effectiveness of Amharic retrieval system. The average precisions of retrieving with and without stopwords using language modeling on root-based approach are 0.24 and 0.70, respectively. © 2021, ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Semantics

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Urban legislation assessment by data analytics with smart city characteristics

Urban legislation assessment by data analytics with smart ci...

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IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)

作者： Xu Du Diane Liporace Aparna S. Varde Earth and Environmental Studies Environmental Mgmt PhD Program Montclair State University NJ USA Department of Computer Science Montclair State University Montclair NJ USA Department of Computer Science PhD Program Montclair State University NJ USA

ISBN: (纸本)9781538611050

Smart cities receive great attention today especially in conjunction with ubiquitous computing. People feel the need to access information about their cities anywhere anytime. They wish to be actively involved with local government bodies for policy decisions affecting urban lifestyle. Accordingly, this paper describes our research on urban policy management. We analyze urban legislation, more specifically, ordinances or local laws. We categorize ordinances based on smart city characteristics they address. This work deploys data warehousing, XML data management and data mining over categorized ordinances. Interesting findings include relative importance of smart city characteristics considering the focus given by urban agencies. This research helps agencies assess their current ordinance policies with decision support for the future. It also provides urban residents at-a-glance information about their cities and policies with analysis. This work has broader impacts of enhancing smart cities and ubiquitous computing by making useful information widely accessible with suitable inferences.

关键词： XML Smart cities Weapons Databases Data mining Data warehouses

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Optimized expected information gain for nonlinear dynamical systems 09

Optimized expected information gain for nonlinear dynamical ...

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26th International Conference On Machine Learning, ICML 2009

作者： Busetto, Alberto Giovanni Ong, Cheng Soon Buhmann, Joachim M. Department of Computer Science ETH Zurich Universitätstr. 6 8092 Zurich Switzerland Competence Center for Systems Physiology and Metabolic Diseases Schafmattst. 18 8093 Zurich Switzerland Life Science Zurich PhD Program on Systems Biology of Complex Diseases Switzerland

ISBN: (纸本)9781605585161

This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-dependent variables for the purpose of Bayesian model inference. The model selection criterion maximizes the expected Kullback-Leibler divergence between the prior and the posterior probabilities over the models. The proposed strategy generalizes the standard D-optimal design, which is obtained from a uniform prior with Gaussian noise. In addition, our approach allows us to determine an information halting criterion for model identification. We illustrate the benefits of our approach by differentiating between 18 published biochemical models of the TOR signaling pathway, a model selection problem in systems biology. By generating pivotal selection experiments, our strategy outperforms the standard A-optimal, D-optimal and E-optimal sequential design techniques.

关键词： Nonlinear dynamical systems

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Linking Alternative Fuel Vehicles Adoption with Socioeconomic Status and Air Quality Index

arXiv

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arXiv 2023年

作者： Singh, Anuradha Yadav, Jyoti Shrestha, Sarahana Varde, Aparna S. Environmental Science and Management PhD Program Department of Computer Science Montclair State University MontclairNJ07043 United States

Understanding adoption of new technology by its consumers helps us deal with the challenges it faces in any new market. Moreover, the impact it creates on society in terms of the environment, health, and justice is significantly based on the extent of adoption. Alternative fuel vehicles (AFVs) is such an area that faces challenges in terms of consumers’ diverse social status and resistance to change. In order to achieve a cleaner transportation sector, we need to address these challenges. In this paper, we conduct a study via machine learning techniques to correlate the adoption of AFVs across various regions, their socioeconomic ranking, and their impact on the air quality index (AQI);and furthermore to predict the AQI as per the region’s AFV adoption. This is an empirical study with predictive modeling based on a regional panel data analysis where we use real US census data, air quality data, and data on the number of AFVs purchased per region. Research in this area can help to promote appropriate policies for AFV adoption in the future with due justice to different population groups. This work exemplifies a modest utilization of AI techniques to enhance social good. More specifically, it makes a considerable impact on energy, climate, transportation, and environmental sustainability. © 2023, CC BY.

关键词： Population statistics

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Practical and secure outsourcing of discrete log group exponentiation to a single malicious server 8

Practical and secure outsourcing of discrete log group expon...

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8th ACM Cloud Computing Security Workshop, CCSW 2017

作者： Crescenzo, Giovanni Di Khodjaeva, Matluba Kahrobaei, Delaram Shpilrain, Vladimir Vencore Labs Basking RidgeNJ07920 United States CUNY Graduate Center New YorkNY10016 United States PhD Program in Computer Science CUNY Graduate Center New YorkNY10016 United States

ISBN: (纸本)9781450353939

Group exponentiation is an important operation used in many public-key cryptosystems and, more generally, cryptographic protocols. To expand the applicability of these solutions to computationally weaker devices, it has been advocated that this operation is outsourced from a computationally weaker client to a computationally stronger server, possibly implemented in a cloud-based architecture. While preliminary solutions to this problem considered mostly honest servers, or multiple separated servers, some of which honest, solving this problem in the case of a single (logical), possibly malicious, server, has remained open since a formal cryptographic model was introduced in [20]. Several later attempts either failed to achieve privacy or only bounded by a constant the (security) probability that a cheating server convinces a client of an incorrect result. In this paper we solve this problem for a large class of cyclic groups, thus making our solutions applicable to many cryptosystems in the literature that are based on the hardness of the discrete logarithm problem or on related assumptions. Our main protocol satisfies natural correctness, security, privacy and efficiency requirements, where the security probability is exponentially small. In our main protocol, with very limited offline computation and server computation, the client can delegate an exponentiation to an exponent of the same length as a group element by performing an exponentiation to an exponent of short length (i.e., the length of a statistical parameter). We also show an extension protocol that further reduces client computation by a constant factor, while increasing offline computation and server computation by about the same factor.

关键词： Group theory

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Participatory Monitoring in Cultural Heritage Conservation: Case Study: The Landscape zone of the Bisotun World Heritage Site 21

Participatory Monitoring in Cultural Heritage Conservation: ...

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29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021

作者： Nasrolahi, Ahmad Gena, Cristina Messina, Vito Ejraei, Samet University of Torino Tech4Culture PhD Program Italy University of Torino Computer Science Department Italy University of Torino Historical Studies Department Italy Bisotun World Heritage Site Iran's Ministry of Cultural Heritage Iran

ISBN: (纸本)9781450383677

Community participation in cultural heritage conservation has been a concern since the Venice Charter (1964) so far. This approach has also been highlighted in the World Heritage documents. In this case, it is necessary to engage local people in all stages of protection, conservation and management. In addition, the Faro Convention (2005) emphasized that the responsibilities regarding the cultural heritage management must be shared between authorities and civil society to make possible a joint action among different stakeholders. At the site of Bisotun, participatory monitoring means the systematic reporting and recording of the issues regarding the cultural heritage properties provided by people living in the landscape zone in order to achieve sustainable monitoring of cultural heritage properties. In fact, the local people can monitor progress of safeguarding and protecting their heritage by daily observing and reporting relevant issues if any. The main purpose of participatory monitoring in this research is to engage the local community in the monitoring of cultural heritage properties in the Bisotun World Heritage Site. © 2021 ACM.

关键词： Monitoring

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A Balanced Pedagogical Approach toward AI Readiness Education for STEM Learners: Instilling a balanced view of AI capabilities through active learning in both traditional classroom and self-directed online environments 22

A Balanced Pedagogical Approach toward AI Readiness Educatio...

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Proceedings of the 2022 6th International Conference on Education and E-Learning

作者： Alvis C. Fong Ajay K. Gupta Steve M. Carr Shameek Bhattacharjee Michael Harnar Department of Computer Science Western Michigan University USA Interdisciplinary PhD in Evaluation Program Western Michigan University USA

ISBN: (纸本)9781450398428

Artificial intelligence (AI) is increasingly being applied to disciplines beyond computer science (CS). Engineers, statisticians, business analysts, biologists, physicists, physicians, and pharmacists, are among the many non-CS professionals who leverage the power of AI algorithms and systems for solving their domain-specific problems. Although AI has been found useful for solving a wide range of previously unsolvable problems, there are important limitations associated with contemporary AI. It is therefore important to inform current and future AI users regarding both strengths and weaknesses of AI in its current form, as well as what AI will be like in the foreseeable future. In this paper, the authors describe a pedagogical approach toward educating AI users from a range of STEM disciplines so that they can best exploit what AI has to offer. Specifically, a balanced approach is taken to ensure that learners gain knowledge and skills in what AI can or cannot do for them. A growing suite of experiential learning modules, which complement existing educational resources, serve as a vehicle for getting STEM learners ready for a future workplace characterized by significant use of AI technologies. These learning modules promote active learning and can be applied in a traditional classroom setting, self-directed online study, or a mix of the two modes. The paper ends with a presentation of encouraging results of actual use of the experiential learning modules in a mixed mode setting across multiple quantitative disciplines. All project artifacts, including the developed experiential learning modules, recommended uses, and best practices, are freely available on the project website. Interested educators and researchers are welcome to use the available resources and/or contribute to the on-going research.

关键词： artificial intelligence readiness active learning STEM education experiential learning computing education

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