Digital Commons Network^™

Understanding The Importance Of Creativity Towards Psychological Safety In The Library Workplace, Jennifer Hopwood Ed.D.

School of Information Student Research Journal

Employee Engagement is one of the leading factors toward organizational success. Happier employees are engaged employees. However, employees cannot reach engagement unless there are feelings of psychological safety. One tool that libraries can utilize to increase the engagement of their staff is to invest in opportunities for workplace creativity.

Haitian Immigrants' Information Needs And Behaviors: Libraries, Information Professionals And Haitians In The United States, Natasha Finnegan

School of Information Student Research Journal

Haitian immigrants are a socially excluded growing demographic in the United States that deals with racism, anti-immigrant sentiment, anti-Haiti rhetoric, and language barriers. Information professionals need to understand Haitian information behavior, their cultural preferences, and barriers in order to successfully fulfill their information needs. This article examines other disciplines’ relevant and scholarly research literature on Haitian immigrants in the United States to discover their trends of information behavior and barriers so that the Library and Information Science field can create effective information pathways to support their community. Haitian immigrants turn to their families and trusted individuals for their information needs, …

Librarians’ Digital Literacy Skills And Services Delivery In Academic Libraries In Taraba State, Nigeria: A Correlation, Chukwuemeka Chukwueke, Israel Habibu Idris

Library Philosophy and Practice (e-journal)

The study correlated the digital literacy skills of librarians in academic libraries in Taraba State, Nigeria and their services delivery. The correlational design was adopted in studying 112 librarians drawn from 11 academic libraries in Taraba State. A researcher-made questionnaire was used for data collection. 112 copies of the questionnaire were administered but 109 were retrieved. Data was analysed using descriptive and inferential statistics. The single null hypothesis was tested at 0.05 level of significance using the linear regression. Consequently, the strength of relationship between variables was decided using the Creswell correlational ranking and results presented in frequency tables. Findings …

Libraries As Determinants Of Guided Inquiry Learning Approach In Social Studies, Favour O. Atubi

Library Philosophy and Practice (e-journal)

This study is an attempt to determine how school libraries can be used to provide a guided learning approach to social studies. The case study was carried out using a group study approach, supervised by three social studies teachers and a school librarian. The population of this study comprises of one hundred and sixteen (116) Junior Secondary Three (3) students from a state owned school in Delta state, southern Nigeria. A sample of fifteen (15) students, made up of three (3) groups of five (5) students each were drawn through a purposive sampling technique. Three teachers of social studies and …

Hear Their Voices!, José Aguiñaga

Faculty Learning Communities

No abstract provided.

Curiosity, Connection, & Community In Vertebrate Evolution & Natural History, Jessica Castillo Vardaro

Faculty Learning Communities

No abstract provided.

Sjsu Erfa News, Winter 2023, San Jose State University, Emeritus And Retired Faculty Association

Emeritus and Retired Faculty Association (ERFA) Newsletter

Volume 37, No 2

2022/2023 Lrsp: Eleanor Rideout, Eleanor Rideout

Library Research Scholars Program

Throughout history, life narratives have fueled and supported social movements through testimony and counter-narrative on the part of the author (Schaffer & Smith, 2004) and narrative empathy on the part of the reader (Keen, 2006). Narrative empathy invests individuals in a cause, and can serve as the basis for readers’ later involvement in social movements (Keen, 2006). These concepts of life narrative form an interesting connection with comics theory, which suggests that the form engages readers in unique ways through character identification, subjective reading, and closure. In connecting these ideas, this study explores how the medium of comics can be …

Evaluation Of Left Shoulder As Part-Time Travel Lane Design Alternatives And Transportation Management Center Staff Training Module Development, Zhuohang Deng, Zhiliang Luo, Neil Hockaday, Ahmed Farid, Anurag Pande

Mineta Transportation Institute

Permanent capacity expansion, such as adding new lanes, is no longer a viable strategy to address traffic congestion in California; hence, ITS (Intelligent Transportation System) strategies, such as part-time use of the shoulder as a travel lane, need to be explored. The use of the shoulder as a travel lane during peak traffic hours has limited applications in the US, and most use the right shoulder as a part-time travel lane even though either the right or left shoulder (but not both) may be used. Caltrans District 5 is exploring the use of Left Shoulder as a Part-time Travel Lane …

Use Of Search Engines As Predictors Of Research Skills Of Postgraduate Students In Library Schools: A Case Study Of South-West, Nigeria, Ayansewa Adeleke Adedeji

Library Philosophy and Practice (e-journal)

Research skills have become so imperative that it is not only needed to write technical research documents like dissertations and theses, but it is also needed after postgraduate studies for research productivity as well as for research and development. Information resources are highly needed when conducting research, which is an indication that the ability to use information resources like search engines could influence research skills. This study examines the use of search engines by postgraduate students in selected library schools in South-West, Nigeria. A descriptive survey research design of the correlational type was adopted for this study. The population comprises …

A Data Delivery Mechanism For Disconnected Mobile Applications, Shashank Hegde

Master's Projects

Previous attempts to bring the data of the internet to environments that do not have continuous connectivity to the internet have made use of special hardware which requires additional expenditure on installation. We will develop a software-based infrastructure running on existing Android smartphones to exchange application data between a disconnected user’s phone and corresponding application servers on the internet. The goal of this project is to implement client and server modules for this infrastructure to run on a disconnected phone and the internet respectively. These modules will multiplex application data to be sent into packages and distribute the data present …

Security And Routing In A Disconnected Delay Tolerant Network, Anirudh Kariyatil Chandakara

Master's Projects

Providing internet access in disaster-affected areas where there is little to no internet connectivity is extremely difficult. This paper proposes an architecture that utilizes existing hardware and mobile applications to enable users to access the Internet while maintaining a high level of security. The system comprises a client application, a transport application, and a server running on the cloud. The client combines data from all supported applications into a single bundle, which is encrypted using an end-to-end encryption technique and sent to the transport. The transport physically moves the bundles to a connected area and forwards them to the server. …

Vehicle-Based Disconnected Data Distribution, Aditya Singhania

Master's Projects

The world today is highly connected and there is an immense dependency on this connectivity to accomplish basic everyday tasks. However much of the world lacks connectivity. Even in well-connected locations, natural disasters can cause infrastructure disruption. To combat these situations, Delay Tolerant Networks

(DTNs) employ to store and forward techniques along with intermittently connected transports to provide data connectivity. DTNs focus on intermittently connected networks however what if the regions are never connected? For example, Region A - is never connected to the internet, and Region B – has internet connectivity. Using a vehicle that travels between the two …

Dynamic Predictions Of Thermal Heating And Cooling Of Silicon Wafer, Hitesh Kumar

Master's Projects

Neural Networks are now emerging in every industry. All the industries are trying their best to exploit the benefits of neural networks and deep learning to make predictions or simulate their ongoing process with the use of their generated data. The purpose of this report is to study the heating pattern of a silicon wafer and make predictions using various machine learning techniques. The heating of the silicon wafer involves various factors ranging from number of lamps, wafer properties and points taken in consideration to capture the heating temperature. This process involves dynamic inputs which facilitates the heating of the …

Deep Learning Neural Machine Translation Conversational Agent, Abhishek Vaid

Master's Projects

Neural Machine Translation (NMT) is a prominent natural language processing technique that is being used to develop conversational AI technology. However, most chatbots do not provide live API features and have list-based scripted responses. Most chatbots are majorly restricted by the training data on which they were trained on and have no knowledge of current events. This research project intends to research and develop an approach to providing live information. We experiment with various techniques in terms of the type of data being used to harness live capabilities. We optimize the hyperparameters that are needed for a Conversational AI agent …

Personalized Tweet Recommendation Using Users’ Image Preferences, Shashwat Avinash Kadam

Master's Projects

In the era of information explosion, the vast amount of data on social media platforms can overwhelm users. Not only does this information explosion contain irrelevant content, but also intentionally fabricated articles and images. As a result, personalized recommendation systems have become increasingly important to help users navigate and make sense of this data. We propose a novel technique to use users’ image preferences to recommend tweets. We extract vital information by analyzing images liked by users and use it to recommend tweets from Twitter. As many images online have no descriptive metadata associated with them, in this framework, we …

Sending And Receiving Internet Messages From Disconnected Areas, Abhishek Prakash Gaikwad

Master's Projects

Over 62% of the world is connected to the internet with more than 6.9 billion smartphone users. The omnipresence of technology in the form of the internet and smartphones have led to constant research in improving communication throughout the world. But even today, 37% (2.9 billion people) are not connected to the internet even though most of the people in such areas have smartphones. To solve this problem of access to internet services in disconnected areas, a software-only mobile-first approach has been proposed for disconnected data distribution infrastructure which can support different internet applications in limited connectivity. A prototype application …

Ubiquitous Application Data Collection In A Disconnected Distributed System, Deepak Munagala

Master's Projects

Despite some incredible advancements in technology, a significant population of the world does not have internet connectivity. These people lack access to crucial information that is easily available to the rest of the world. To solve this problem, we implement a Delay Tolerant Network (DTN) that allows users in disconnected regions access to the internet. This is enabled by collecting all data requests on the users’ phones and passing them to a device that can carry them to a connected region. This device can then collect the necessary information and give it back to the users in the disconnected region. …

Graph Deep Learning Based Hashtag Recommender For Reels On Social Media, Sriya Balineni

Master's Projects

Many businesses, including Facebook, Netflix, and YouTube, rely heavily on a recommendation system. Recommendation systems are algorithms that attempt to provide consumers with relevant suggestions for items such as movies, videos, or reels (microvideos) to watch, hashtags for their posts, songs to listen to, and products to purchase. In many businesses, recommender systems are essential because they can generate enormous amounts of revenue and make the platform stand out when compared to others. Reels are a feature of the social media platforms that enable users to create and share videos of up to sixty seconds in length. Individuals, businesses, and …

Influence Maximization Based On Community Detection And Dominating Sets, Ameya Marathe

Master's Projects

An online platform where various people come together to share information and communicate is called a social network. These platforms are set apart from other means of communication mostly because you can follow and interact also with different people even some you never met, comment on their posts, and re-sharing their posts. Companies such as Amazon and Walmart use these platforms daily for marketing purposes, like spreading information regarding new products and services they offer. They carefully select a subset of users, called influencers, who are usually the ones with high influence over the rest of the users. Influencers receive …

Image Captioning Using Reinforcement Learning, Venkat Teja Golamaru

Master's Projects

Image captioning is a crucial technology with numerous applications, including enhancing accessibility for the visually impaired, developing automated image indexing and retrieval systems, and enriching social media experiences. However, accurately describing the content of an image in natural language remains a challenge, particularly in low-resource settings where data and computational power are limited. The most advanced image captioning architectures currently use encoder-decoder structures that incorporate a sequential recurrent prediction model. This study adopts a typical Convolutional Neural Network (CNN) encoder Recurrent Neural Network (RNN) decoder structure for image captioning, but it has framed the problem as a sequential decision-making task. …

Container Caching Optimization Based On Explainable Deep Reinforcement Learning, Divyashree Jayaram

Master's Projects

Serverless edge computing environments use lightweight containers to run IoT services on a need basis i.e only when a service is requested. These containers experience a cold start up latency when starting up. One probable solution to reduce the startup delay is container caching on the edge nodes. Edge nodes are nodes that are closer in proximity to the IoT devices. Efficient container caching strategies are required since the resource availability on these edge devices is limited. Because of this constraint on resources, the container caching strategies should also take proper resource utilization into account. This project tries to further …

Resource Coordination Learning For End-To-End Network Slicing Under Limited State Visibility, Xiang Liu

Master's Projects

This paper discusses a resource coordination problem under limited state visibility to realize end-to-end network slices that are hosted by multiple network domains. We formulate this resource coordination problem as a special type of the multi- armed bandit (MAB) problem called the combinatorial multi-armed bandit (CMAB) problem. Based on this formulation, we convert the problem to a regret minimization problem with a linear objective function and solve it by adapting the Learning with Linear Rewards (LLR) algorithm. In this paper, we present a new hybrid approach that incorporates state reports, which include partial resource information in each domain, into the …

Airport Assignment For Emergency Aircraft Using Reinforcement Learning, Saketh Kamatham

Master's Projects

The volume of air traffic is increasing exponentially every day. The Air Traffic Control (ATC) at the airport has to handle aircraft runway assignments for landing and takeoff and airspace maintenance by directing passing aircraft through the airspace safely. If any aircraft is facing a technical issue or problem and is in a state of emergency, it requires expedited landing to respond to that emergency. The ATC gives this aircraft priority to landing and assistance. This process is very strenuous as the ATC has to deal with multiple aspects along with the emergency aircraft. It is the duty of the …

A Novel Efficient Deep Learning Framework For Facial Inpainting - Face Reconstruction From Masked Images, Akshay Ravi

Master's Projects

The use of face masks due to the covid-19 pandemic has made surveillance of people very difficult. Since a mask covers most of the facial components, security cameras are rendered of little to no use in the identification of criminals. In order to realize what a face looks like behind a mask, we have to construct the facial features in the masked region. On a higher level, this falls under the field of image inpainting, i.e. filling missing regions of images or correcting irregularities in images. Current research on image inpainting shows promising results on images that have missing/incorrect patches …

Location And Environment Aware Mmwave Beam Selection Using Vision Transformer, Srajan Gupta

Master's Projects

5G networks explore mmWave technology to achieve faster data transfer and higher network capacity. The reduced coverage area of mmWaves creates the need to deploy large antenna arrays. However, beam sweeping across a large number of antenna arrays typically involves high overhead and latency. In a vehicle-to- everything (V2X) system, beam selection becomes a frequent process in the case when vehicles are moving at high speed, leading to frequent connection delays. Modern-day vehicular systems are integrated with advanced sensors like global positioning system

(GPS), light detection and ranging (LIDAR), radio detection and ranging (RADAR), etc. Machine learning models can be …

Rideshare Using Degrees Of Separation: A Social Network-Based Approach, Gokul Garikipati

Master's Projects

Conventional ride-sharing services, such as Lyft and Uber, routinely match drivers with riders based on their proximity to each other, using GPS coordinates and mapping technology. The application then calculates the cost of the ride based on factors such as distance traveled and time spent in the car. The concept of six degrees of separation suggests that a maximum of 6 steps or relationships can connect any two individuals in the world. This idea could be applied to a ride-share service to provide a more personalized and efficient experience for users. Instead of just matching riders with drivers based on …

Nft Artifact Prediction Using Machine Learning, Rishabh Pandey

Master's Projects

NFT Prediction Systems are web applications that provide their users with valuable insights about the artifact. These insights are useful for investors and collectors to make better decisions about their purchases. This project builds upon the same concept of prediction by developing a web application to dynamically provide recommendations based on user input and training an ML model to predict their cost. Preliminary work for the prediction system involved data collection, pre-processing, analysis, and filtering of large datasets from diverse sources. The project focused on the development of a user- friendly UI to enable seamless categorization of search results generated …

Wikipedia Web Table Interpretation, Keyword-Based Search, And Ranking, Kartikee Dabir

Master's Projects

Information retrieval and data interpretation on the web, for the purpose of gaining knowledgeable insights, has been a widely researched topic from the onset of the world wide web or what is today popularly known as the internet. Web tables are structured tabular data present amidst unstructured, heterogenous data on the web. This makes web tables a rich source of information for a variety of tasks like data analysis, data interpretation, and information retrieval pertaining to extracting knowledge from information present on the web. Wikipedia tables which are a subset of web tables hold a huge amount of useful data, …

Sign Language Recognition Using A Hybrid Machine Learning Model, Peeyusha Shivayogi

Master's Projects

Sign Language is a visual language used by millions of people around the world. American Sign Language (ASL) is one of the most popular sign languages and the third most popular language in the United States. Automatic recognition of ASL signs can help bridge the communication gap between deaf and hearing individuals. In this project, we explore the use of deep learning models for ASL sign recognition, using the MNIST dataset as a benchmark. We preprocessed the data by reshaping the images to the input layer size of the models and normalized the pixel values. We evaluated five popular deep-learning …