Computer Sciences Commons^™

Emotion Recognition With Audio, Video, Eeg, And Emg: A Dataset And Baseline Approaches, Jin Chen, Tony Ro, Zhigang Zhu

Publications and Research

This paper describes a new posed multimodal emotional dataset and compares human emotion classification based on four different modalities - audio, video, electromyography (EMG), and electroencephalography (EEG). The results are reported with several baseline approaches using various feature extraction techniques and machine-learning algorithms. First, we collected a dataset from 11 human subjects expressing six basic emotions and one neutral emotion. We then extracted features from each modality using principal component analysis, autoencoder, convolution network, and mel-frequency cepstral coefficient (MFCC), some unique to individual modalities. A number of baseline models have been applied to compare the classification performance in emotion recognition, …

Thoughts On New It Technique System, Ninghui Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

The world is entering a new period of information society dominated by digital economy. To adapt to the requirements of the new development stage of China, and to achieve the key technologies development, it is necessary to accelerate the construction of a new selfreliance and self-improvement IT technique system. The article gives some thoughts on the demand, principle, and key method on above issues, and the new paradigm of research at Institute of Computing Technology, Chinese Academy of Sciences.

Opportunities And Challenges Of Building Cpu Ecosystem With Open-Source Mode, Yungang Bao, Ninghui Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

RISC-Ⅴ has been obtained huge attentions and extensively invested over the past decade due to its exciting slogan that "Instruction Sets Want to be Free". Based on RISC-Ⅴ, we are able to build a "human community with a shared future" in the CPU chip area, although there are still many challenges. China should explore its capability to make more contributions in building the open-source chip ecosystem.

Information Superbahn: Towards New Type Of Cyberinfrastructure, Zhiwei Xu, Guojie Li, Ninghui Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

The world is entering a new era of human-cyber-physical ternary computing with diverse intelligent applications over trillions of devices. This calls for a new type of cyberinfrastructure characterized by a planet-scale, high-goodput, low-entropy computing network, colloquially named Information Superbahn. This article highlights the vision of Information Superbahn, including fundamental requirements, key scientific problems, and a candidate system architecture. The goal of building the Information Superbahn is to natively support humancyber-physical systems and low-entropy computing modes, to reduce the effects of systems disorder. Compared with existing network computing systems, such as Internet, cloud computing, big data and Internet of Things, Information …

Preface To Topic “Build And Strengthen China’S Information Tech-System”, Guojie Li, Ninghui Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

Self-reliance and self-strengthening at high level does not depend on a single technique, but on the formation of an advantageous national tech-system, so called "country-as-a-platform". Information tech-system refers to the whole one that closely connects devices, components, complete machine, system software, middleware, and application software with a series of technical standards and intellectual property rights. We are entering the IT 3.0 era characterized by integration of human-cyber-physical world. The IT 3.0 era will certainly produce a new tech-system different from the IT 1.0 and IT 2.0 eras, which is a rare opportunity for China to build a self-reliance and self-strengthening …

From Chip Design To Chip Learning, Yunji Chen, Zidong Du, Qi Guo, Wei Li, Yijun Tan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Chip is the foundation of the modern information society. As the world is entering a new era of human-cyber-physical ternary computing, with diverse intelligent applications over trillions of devices, chip with specialized architecture will be heavily demanded in both numbers and types. However, chip design is very costly, which usually requires a long design cycle, complicated process, and high professional developers. Hence, there is a large gap between the need of tremendous chips and the high cost of chip design in the new era. This study proposes Chip Learning, a learning-based method to perform the entire chip design, including logic …

Ubiquitous Operating System: Toward The Blue Ocean Of Human-Cyber-Physical Ternary Ubiquitous Computing Mei, Hong Mei, Donggang Cao, Tao Xie

Bulletin of Chinese Academy of Sciences (Chinese Version)

In response to the new patterns and scenarios of future human-cyber-physical ternary ubiquitous computing, a new kind of operating system named Ubiquitous Operating System (UOS) is emerging and under exploration for further development. The human-cyberphysical ternary ubiquitous computing has many new features, such as open and dynamic environment, diverse requirements, and complex application scenarios. New ubiquitous applications pose special demands on ubiquitous sensing and connection, lightweight computing and artificial intelligence, dynamic adaptation, feedback and control, natural human-computer-interaction, etc. To support these new requirements, a software definition mechanism is in need to flexibly control hardware, data resources, platforms, and applications. This …

Thoughts On Innovation Of Future Network Architecture, Yunjie Liu, Tao Huang, Shou Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Currently, network technology is deeply integrated with the physical world. Traditional network architectures cannot support the differentiated, customizable, and deterministic needs of industrial Internet and other services. Exploring new network architecture and core technology has officially become the strategic commanding heights of the global Internet competition. To this end, the paper reviews the evolution and trends of the network, analyzes how to achieve high-performance, low-cost, intelligent network development strategies for establishing an autonomous and controllable future network. Two conclusions are drawn as follows. (1) Through the exploration of network construction in recent decades, integration, openness, intelligence, customization and integration of …

Improving Cyberspace Security Situation From Perspective Of “Talent, Finance And Infrastructure”, Binxing Fang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Cyberspace security has been an important part in ensuring economic development and supporting the progress of modern science and technology. As more and more applications are relying on information technology (IT), it becomes very important to improve the security situation of cyberspace. How to take effective measures to practically improve the cyberspace security situation has become the core problem disscussed in this paper. This paper addresses it from the perspectives of "talent, finance and infrastructure". First, on the premise of insufficient supply of cyberspace security talents, this paper proposes to establish the ability certification of talents transferred from other IT …

Thinking On New System For Big Data Technology, Xueqi Chegn, Shenghua Liu, Ruqing Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

In recent years, there are such significant improvements on the performance and efficiency of big data technology and system. As it is widely applied in various fields, big data has empowered industrial intelligence, and is the key step into the intelligent stage of information society. Therefore, we are facing greater challenges nowadays, such as the paradox of data flooding and high-value data lacking, the complexity and uncertainty of big data analysis, and the difficulty to balance the data on sharing and circulation, and trustworthiness and security. Moreover, these challenges will not only promote the innovation and change of big data …

A Systematic Literature Review On Spam Content Detection And Classification, Sanaa Kaddoura, Ganesh Chandrasekaran, Daniela Elena Popescu, Jude Hemanth Duraisamy

All Works

The presence of spam content in social media is tremendously increasing, and therefore the detection of spam has become vital. The spam contents increase as people extensively use social media, i.e ., Facebook, Twitter, YouTube, and E-mail. The time spent by people using social media is overgrowing, especially in the time of the pandemic. Users get a lot of text messages through social media, and they cannot recognize the spam content in these messages. Spam messages contain malicious links, apps, fake accounts, fake news, reviews, rumors, etc. To improve social media security, the detection and control of spam text are …

Combating Terrorism Financing In The Cyber Environment A Study In Light Of The Egyptian And Emirati Experiences, Amar Elbably

Journal of Police and Legal Sciences

The research deals with the study of combating the financing of terrorism on the dark Internet, where terrorism "cyber has become an international actor, engages in interactions with states, individuals and institutions, and creates an agreement between the intelligence services and some terrorist movements, that these movements obtain information, finance, arm or training, in exchange for cyber-attacks against a mutual adversary, and the Internet plays a prominent role in the manufacture of extremism, terrorism, incitement to violence, promotion of radical ideas and attracting elements qualified for deviation, exploited in That's the dark part of the Internet, with an expansion of …

Technical Behaviours Of Child Sexual Exploitation Material Offenders, Chad Steel, Emily Newman, Suzanne O'Rourke, Ethel Quayle

Journal of Digital Forensics, Security and Law

An exploration of the technological behaviours of previously convicted child sexual exploitation material (CSEM) offenders provides a foundation for future applied research into deterrence, investigation, and treatment efforts. This study evaluates the technology choices and transitions of individuals previously convicted of CSEM offenses. Based on their inclusion in two sex offender registries, anonymous survey results (n=78) were collected from English-speaking adults within the United States. CSEM offenders chose technologies based on both utility and perceived risk; peer-to-peer and web-browsers were the most common gateway technologies and showed substantial sustained usage; a substantial minority of users never stored CSEM and only …

Can Lethal Autonomous Weapons Be Just?, Noreen L. Herzfeld, Robert H. Latiff

Computer Science Faculty Publications

In 2018 the United States Department of Defense (DoD) created a new Joint Artificial Intelligence Center to study the adoption of AI by the military. Their strategy, outlined in a document entitled, “Harnessing AI to Advance Our Security and Prosperity,” proposes to accelerate the adoption of AI in the military by fostering a culture of experimentation and calculated risk taking, noting that AI will change the character of the future battlefield and, even more, the pace of battle. Is there any way to ensure that this future battlefield will be just? Can the age-old precepts of just warfare help guide …

Did They Really Tweet That?, Caleb Bradford, Michael L. Nelson (Mentor)

Computer & Information Science: Research Experiences for Undergraduates in Disinformation Detection and Analytics

No abstract provided.

Campus Mobile History Application, Drew Adan, Christine Sears

Summer Community of Scholars (RCEU and HCR) Project Proposals

No abstract provided.

Networks Of Disinformation: The Proliferation Of Hate Speech In Chile And Colombia During The Venezuelan Migration Crisis, Isabelle Valdes, Erika Frydenlund (Mentor)

Computer & Information Science: Research Experiences for Undergraduates in Disinformation Detection and Analytics

No abstract provided.

Disinformation About Mental Health On Tiktok, Dani Graber, Anne Perrotti (Mentor)

Computer & Information Science: Research Experiences for Undergraduates in Disinformation Detection and Analytics

No abstract provided.

Discovering The Traces Of Disinformation On Instagram, Haley Bragg, Michele C. Weigle (Mentor)

Computer & Information Science: Research Experiences for Undergraduates in Disinformation Detection and Analytics

Disinformation, which is fabricated, misleading content spread with the intent to deceive others, is accumulating substantial engagements and reaching a vast audience on Instagram. However, the temporary nature of the platform and the security guidelines that remove malicious content make studying this disinformation a challenge. The only way to access removed content and banned accounts that are no longer on the live web is by searching the web archives. In this study, we set out to quantify the replayability and quality of past captures of Instagram accounts, specifically focusing on a group of of anti-vax content creators known as the …

Digital Searching: A Grounded Theory Study On The Modern Search Experience, Nicolas Armando Parés

Electronic Theses and Dissertations

This Grounded theory study explores US adults' modern information search process as they pursue information through digital search user interfaces and tools. To study the current search process, a systematic grounded theory methodology and two data collection methods, a think-aloud protocol and semi-structured interviews, are used to develop the theory. The emerging theory addressed two tightly connected research questions that asked, “What is the process by which humans search and discover information?” and “What is the process by which search and discovery interfaces and tools support the modern search process?”

The study collects participant data from US adults who have …

Guide To The Dr. L.S. Dederick Papers, 1908-1956, Undated, Orson Kingsley, Patrick Koetsch

Archives & Special Collections Finding Aids

Louis Serle (L.S.) Dederick was born in Chicago in 1883. He received his Ph.D. in Mathematics from Harvard University in 1909. From 1909 – 1917 he was a professor at Princeton University. From 1917 – 1924 he was professor at the U.S. Naval Academy in Annapolis, Maryland. In 1926 Dederick began working for the U.S. Army, Ordnance. During his time there he was the Associate Director of the Ballistic Research Laboratory at the Aberdeen Proving Grounds in Aberdeen, Maryland where he focused on ballistics research.

While Dederick worked as a mathematician at the Aberdeen Proving Grounds, he was involved with …

Leveraging Developmental Psychology To Evaluate Artificial Intelligence, David S. Moore, Lisa M. Oakes, Victoria L. Romero, Koleen C. Mccrink

Pitzer Faculty Publications and Research

Artificial intelligence (AI) systems do not exhibit human-like common sense. The principles and practices of experimental psychology – specifically, work on infant cognition – can be used to develop and test AIs, providing insight into the building blocks of common sense. Here, we describe how the evaluation team for DARPA’s Machine Common Sense program is applying conceptual content, experimental design techniques, and analysis tools used in the field of infant cognitive development to the field of AI evaluation.

Electroencephalogram Classification Of Brain States Using Deep Learning Approach, Hrishitva Patel

Computer Science Faculty Scholarship

The oldest diagnostic method in the field of neurology is electroencephalography (EEG). To grasp the information contained in EEG signals, numerous deep machine learning architectures have been developed recently. In brain computer interface (BCI) systems, classification is crucial. Many recent studies have effectively employed deep learning algorithms to learn features and classify various sorts of data. A systematic review of EEG classification using deep learning was conducted in this research, resulting in 90 studies being discovered from the Web of Science and PubMed databases. Researchers looked at a variety of factors in these studies, including the task type, EEG pre-processing …

A Multidisciplinary Collaboration Between Graphic Design And Physics Classes Responding To Covid-19, Szilvia Kadas, Eric M. Edlund

The SUNY Journal of the Scholarship of Engagement: JoSE

Students from graphic design and physics classes at SUNY Cortland collaborated during the spring semester of 2020 on a multidisciplinary project related to the COVID-19 pandemic. In these collaborations, the students’ individual contributions were part of a larger project that required a diverse skill set, through which students learned how different skills can complement their own disciplines. The graphic design and physics instructors applied a project-based learning philosophy applying the Common Problem Pedagogy (CPP) framework to construct student-teams composed of both disciplines. This project explored how coordinated social actions can allow the public to exercise control in uncertain times. Students …

Digital Forensic Investigation, Dejuan Green

Cybersecurity Undergraduate Research Showcase

Finding, acquiring, processing, analyzing, and reporting data on electronically stored data is the main goal of the forensic science discipline known as "digital forensics." Nearly all illegal acts include the use of electronic evidence, making digital forensics support essential for law enforcement investigations. Furthermore, digital forensics is very important to cases aiding in many cases and can lead to saving lives/ victims and locking up criminals. A wide range of devices, including laptops, cellphones, remote storage, unmanned aerial systems, shipborne equipment, and more, can be used to gather electronic evidence. [2] Digital forensics' major objective is to take data from …

Deepfakes: Ai Technology Of The Future, Hosanna Root

Cybersecurity Undergraduate Research Showcase

Deepfakes technology’s danger stems from its ability to create realistic but fake synthesized media that people often identify as something that is real. With this powerful technology in the wrong hands, deepfakes can cause devastating havoc through information warfare, election campaign disruptions, and more, creating distrust in society. Disinformation is already rampant today, even without wide deployments of deepfakes, which is concerning given the fact that deepfakes’ nefarious full potentials are yet to be reached.

Identifying Challenges And Opportunities For Designing Social Media Nudges For Adolescents, Oluwatomisin Obajemu

Electronic Theses and Dissertations, 2020-2023

With the prevalence of online risks encountered by youth online, strength-based approaches such as nudges have been recommended as a potential solution to subtly guide teens toward safer decisions. However, most nudging interventions to date have not been designed to cater to teens’ unique needs and online safety concerns. To address this gap, this study aimed to better understand adolescents’ perceptions and feedback on online safety nudges to inform the design of more effective online safety interventions. We conducted 12 semi-structured interviews and 3 focus group sessions with 21 teens (13 – 17 years old) to get their feedback on …

Strategies For Catalyzing Supply Chain Innovation In Midsized Manufacturing Firms, Matthew J. Szukalowski Iii

Walden Dissertations and Doctoral Studies

Supply chain inflexibility results in reduced efficiency and profitability. Without supply chain flexibility, supply chain managers in manufacturing firms risk the loss of competitive advantage due to reduced efficiency and profitability. Grounded in business process engineering conceptual framework, the purpose of this qualitative multiple case study was to explore strategies supply chain leaders in manufacturing organizations use to achieve supply chain flexibility. The participants were five supply chain leaders in the manufacturing industry in the midwestern United States and successfully implemented innovative solutions to achieve supply chain flexibility. Data were collected using semistructured interviews and a review of company documents …

A Human-Centered Approach To Improving Adolescent Online Sexual Risk Detection Algorithms, Afsaneh Razi

Electronic Theses and Dissertations, 2020-2023

Computational risk detection has the potential to protect especially vulnerable populations from online victimization. Conducting a comprehensive literature review on computational approaches for online sexual risk detection led to the identification that the majority of this work has focused on identifying sexual predators after-the-fact. Also, many studies rely on public datasets and third-party annotators to establish ground truth and train their algorithms, which do not accurately represent young social media users and their perspectives to prevent victimization. To address these gaps, this dissertation integrated human-centered approaches to both creating representative datasets and developing sexual risk detection machine learning models to …

How Adolescents In The Child Welfare System Seek Support For Their Sexual Risk Experiences Online, Taylor L. Moraguez

Honors Undergraduate Theses

Youth in the foster care system experience unique and challenging situations online, such as higher risks of inappropriate messaging (e.g., sexting) and unwanted solicitations from strangers. As a vulnerable group of adolescents, foster youth often use online platforms as a resource to express themselves and seek support over their sexual experiences online. This thesis analyzes how foster youth seek support online for their sexual risk experiences, including sexual abuse, sexting, and sexuality. To understand how adolescents (ages 13-17) in the child welfare system seek support for these experiences, we conducted a thematic analysis of 541 individual posts made by 121 …