• Stability of cnoidal wave frequency combs in microresonators 

  Qi, Zhen; Wang, Shaokang; Jaramillo-Villegas, Jose A.; Qi, Minghao; Weiner, Andrew M.; D’Aguanno, Giuseppe; Menyuk, Curtis R. (OSA Publishing, 2018)

  We determine the regions in the parameter space of microresonators where cnoidal waves (Turing rolls) are stable. Solitons are included as a special limit. We identify conditions to efficiently obtain broadband frequency combs.

• Kapton Polyimide-Based EEG Microelectrode Array and Interfaces for Mice Brainwave Recordings and Analysis 

  Gupta, D.; Islam, M.; Nam, H.; Lobo, M. K.; Choa, F. S. (SPIE, 2018)

  There is a rise in the study of functional connectivity among various cortical regions and investigations to uncover causal links between a stimulus and the corresponding neural dynamics through electrophysiological imaging ...

• Multimodal Data Fusion: An Overview of Methods, Challenges and Prospects 

  Lahat, Dana; Adali, Tulay; Jutten, Christian (IEEE, 2015)

  In various disciplines, information about the same phenomenon can be acquired from different types of detectors, at different conditions, in multiple experiments or subjects, among others. We use the term “modality” for ...

• Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs 

  Yu, Qingbao; Du, Yuhui; Chen, Jiayu; Sui, Jing; Adali, Tulay; Pearlson, Godfrey; Calhoun, Vince D. (IEEE, 2018)

  Abstract: Human brain connectivity is complex. Graph-theory-based analysis has become a powerful and popular approach for analyzing brain imaging data, largely because of its potential to quantitatively illuminate the ...

• Efficient Distributed Admission and Revocation using Blockchain for Cooperative ITS 

  Lasla, Noureddine; Younis, Mohamed; Znaidi, Wassim; Arbia, Dhafer Ben (IEEE, 2018)

  Cooperative Intelligent Transportation System (C-ITS) enables inter-networking of vehicles for alerts exchanging in order to improve road safety. While this technology is about to enter the market in the upcoming years, ...

• Engineering a Simplified 0-Bit Consistent Weighted Sampling 

  Raff, Edward; Sylvester, Jared; Nicholas, Charles (Arxiv, 2018)

  The Min-Hashing approach to sketching has become an important tool in data analysis, search, and classification. To apply it to real-valued datasets, the ICWS algorithm has become a seminal approach that is widely used, ...

• Polarization-filtering and polarization-maintaining low-loss negative curvature fibers 

  Wei, Chengli; Menyuk, Curtis; Hu, Jonathan (Optical Society of America, 2018)

  We propose a polarization-filtering and polarization-maintaining negative curvature fiber in which two nested resonant tubes are added to a standard negative curvature fiber with one ring of tubes. The coupling between the ...

• A Model for Increasing Gender Diversity in Technology 

  Rheingans, Penny; Diaz-Espinoza, Crystal; D’Eramo, Erica; Ireland, Danyelle (ACM, 2018)

  At our university, women are a minority in all computing and engineering majors. This situation is mirrored at other universities nationwide, as well as in technical industries. Stereotype threat, the risk of confirming ...

• Automated Detection of Substance Use-Related Social Media Posts Based on Image and Text Analysis 

  Roy, Arpita; Paul, Anamika; Pirsiavash, Hamed; Pan, Shimei (IEEE, 2017)

  Abstract—Nowadays, teens and young adults spend a significant amount of time on social media. According to the national survey of American attitudes on substance abuse, American teens who spend time on social media sites ...

• A Method of Finding a Lower Energy Solution to a QUBO/Ising Objective Function 

  Dorband, John E. (2018)

  A new method to find a lower energy solution to a QUBO/Ising objective function will be presented in this paper. It is applied to samples returned from the D-Wave for various example cases. This method, multi-qubit correction ...

• Band Subset Selection for Hyperspectral Image Classification 

  Yu, Chunyan; Song, Meiping; Chang, Chein-I (MDPI, 2018)

  This paper develops a new approach to band subset selection (BSS) for hyperspectral image classification (HSIC) which selects multiple bands simultaneously as a band subset, referred to as simultaneous multiple band selection ...

View more