Results for: “CSREA Press”
|Hamid R. Arabnia and Quoc-Nam Tran||CSREA Press|
Int'l Conf. Bioinformatics and Computational Biology | BIOCOMP'13 |
Functionally Diagram Human Brains using
Ganged Confocal Scanning UV Fluorescence Microscopes with
3-D Substage Micromanipulator and Cryostat Microtome
Edward Richfield and Steve Richfield, IEEE #41344714
SUVFM Corporation; 5498 124th Avenue East, Edgewood WA, USA
Abstract - This is a proposal to construct practical automated neurological diagramming machines.
This is a new class of devices that will be able to functionally diagram complex biological systems, eventually including human brains. Development of these devices should quickly lead to a greatly improved understanding of human cognition sufficient to assure the success of ongoing AI/AGI development efforts, and provide key information needed to develop treatments for various neurological conditions.
These microscopes will look into bulk tissue, focusing UV spots and recovering scattered UV and visible-light fluorescence from the same side, but along different light paths. This will work to a depth of ~10μ, even on living tissue. Computed tomography and image processing will transform the information from observed construction into a wiring diagram, including component values.See All Chapters
|Hamid R. Arabnia, Azita Bahrami, Victor A. Clincy, Leonidas Deligiannidis, George Jandieri, Ashu M. G. Solo, Fernando G. Tinetti||CSREA Press|
Int'l Conf. Frontiers in Education: CS and CE | FECS'13 |
Effects of Group Learning in Programming Class
Department of Information Communications Engineering, Chungnam National University,
Daejeon, South Korea
h�������Gˀ G In this paper, the effects of group learning were investigated when group learning and self-study are applied to programming language classes in computer science area.
C programming language course and Data Structures course were selected for experiments as a beginner’s level class and intermediate level class. Havruta method consisting of 2 or 3 members and group activity method consisting of 8 to 12 members were applied for a group self-learning. This paper focused on the adequate number of group activities, the extent of students’ preference to group activities, and the difficulties that students feel as obstacles in group activity. Mediocre class compared to the beginner class preferred group activity in a great extent. But students show higher preferences for some topics rather than they show the even interest in all the topics. So instructors need to develop the adequate topics for the group activity according to the level of students.See All Chapters
|Hamid R. Arabnia, Leonidas Deligiannidis, George Jandieri, Ashu M. G. Solo, Fernando G. Tinetti||CSREA Press|
Int'l Conf. Software Eng. Research and Practice | SERP'14 |
Towards Automatic GUI Testing Using Task and Dialog
Eman M. Saleh
Software Engineering Department, Applied Science Private University, Amman, Jordan
Abstract - Testing GUIs for correctness can enhance the entire system’s safety, robustness, and usability. The major difficulty in testing a GUI comes from fact that it is impossible to cover all possible interactions with all possible paths they might lead to. This paper introduces a model-based testing framework of GUIs that can automatically generate test cases from the task and dialog models.
Keywords: Model-based UI testing; ConcurTask Trees;
Dialog models; State charts
Graphical user interfaces (GUIs) are the most dominant way in interacting with today's software systems. The ease of using computers and handheld devices through GUIs makes them a daily need for people to do their work with a small amount of training, or even no training at all. On the other hand, a special attention should be taken in designing and implementing the user interface as it represents the first line of interaction between the users and the underlying software.See All Chapters
|Hamid R. Arabnia, Hiroshi Ishii, Minoru Ito, Hiroaki Nishikawa, Fernando G. Tinetti, George A. Gravvanis, George Jandieri, and Ashu M. G. Solo||CSREA Press|
Int'l Conf. Par. and Dist. Proc. Tech. and Appl. | PDPTA'13 |
Poisson Observed Image Restoration using a Latent Variational
Approximation with Gaussian MRF
Hayaru SHOUNO1 Masato Okada2
Graduate School of Informatics and Engineering, University of Electro-Communications,
Chofugaoka 1-5-1, Chofu, JAPAN
2 Graduate School of Frontier Sciences, The University of Tokyo,
5-1-5 Kashiwanoha, Kashiwa, 277-8561, Japan.
3 RIKEN BSI, 2-1 Hirosawa, Wako, 351-0198, Japan.
Abstract— We treat an image restoration problem throughout a Poisson noise channel. The Poisson randomness might be appeared in observation of low contrast object, and its variable takes discrete and positive value. The Poisson noise observation is often hard to treat in a theoretical analysis. In our formulation, we interpret the Poisson noise channel observation as a Bernoulli process, and apply a latent variable method to transform the observation as a
Gaussian process with single latent variable. We formulate the image restoration problem as a Bayesian approach, and introduce a Gaussian Markov random ﬁeld as its prior.See All Chapters
|CSREA 2003||CSREA Press|