Murat Tanik

• University of Alabama at Birmingham

Domain-diverse research, that research which involves more than one domain of knowledge, has driven significant advances in science and technology. Recent interest has been shown in the United States for identifying and generalizing techniques for promoting success with such work. In this paper, an exemplar history of domain-diverse research is pre...

Communication Dynamics Theory, defined in a companion paper, offers a new approach to understanding Spacetime. In Communication Dynamics Theory, physical reality is assumed to arise from an anisotropic expansion of a one-dimensional communication network. In this paper, we perform a first approximation mathematical transformation of the theory into...

Atoms are considered basic building blocks of the material world. Computational modeling is a useful technique for studying and predicting natural events. Due to the complexity and wide scale range of particle systems, current computational modelling approaches, including Classical Mechanics, General Relativity, and Quantum Mechanics are separately...

In the medical imaging domain, nonlinear warping has enabled pixel-by-pixel mapping of one image dataset to a reference dataset. This co-registration of data allows for robust, pixel-wise, statistical maps to be developed in the domain, leading to new insights regarding disease mechanisms. Deep learning technologies have given way to some impressiv...

This work builds upon a previous novel approach developed by N. Ngambou. Djakam and Murat. M. Tanik to tackle combinatorial optimization problems in which uncertainty is present as a significant concept. It is an approach akin to Herbert Simon’s notion of ”satisficing” in the context of bounded rationality. This paper demonstrates that a probabilis...

Recent years have witnessed an extensive adoption of artificial intelligence systems. In many of those applications, the interpretation of a machine learning model prediction can be as relevant as its accuracy. The lack of transparency of those systems has limited their adoption due to information sensitivity in many domains. The latter accele...

https://www.youtube.com/watch?v=mXZ09dl4UYM&t=16s http://www.acmmidsoutheast.org/home

The clustering of a given data set is a technique widely utilized data analysis method by data scientists for technological applications. Some portion of the analysis define the relations between data, and strong relations are identified as sub-communities by means of clustering algorithms. The collected functional relations between the clusters’ n...

Problems that do not have analytical solutions require tricky algorithms to be solved. Backtracking intuitively solves the problem with brute force. The time complexity of these types of algorithms is polynomial or exponential. Thus, they lose a practical advantage even for small systems. In this study, we found all or some solutions of the Knights...

In the medical imaging domain, non-linear warping has enabled pixel by pixel mapping of one image dataset to a reference dataset. This co-registration of data allows for robust, pixel-wise, statistical maps to be developed in the domain, leading to new insights regarding disease mechanisms [20]. Deep learning technologies have given way to some imp...

The Maximum Independent Set (MIS) is an extensively studied problem because of its practical applications. The N-Queens problem is another intensively studied problem. In this study, we have drawn a link between the two by developing an algorithm to convert an N-Queens problem into an MIS problem. As both are NP-Hard problems, such conversion does...

The Maximum Independent Set (MIS) is one of the fundamental techniques for solving optimization problem on graph. Optimization today is essential research tool in every areas of design, process, and science. The successful application of optimization processes in a broad range of practical problems, resulting from almost every domain of human activ...

In modern physics and chemistry theories, atoms are considered basic building blocks of the material world. Computational modeling for atoms is a useful technique in studying and predicting events in chemical, mechanical, electrical, biological, planetary, and cosmological systems. Due to the complexity and wide scale range of particle systems, cur...

In this paper we introduce an activity designed for STEM students. We have a program at UAB Electrical and Computer Engineering department to reach out local high schools for engineering training. As such we design and develop various activities for our STEM classes. In this activity we cover Hamming Distance and its use in information theory and w...

Big data analytics uncovers hidden patterns, correlations and other insights by examining large amounts of data. Deep Learning can play a role in developing solutions from large datasets, and is an important tool in the big data analytics toolbox. Deep Learning has been recently employed to solve various problems in computer vision and demonstrated...

The Maximum Independent Set (MIS) is essentially the largest collection of the least connected nodes. Finding the MIS of a graph is known to be an NP-hard problem. We developed an heuristic algorithm to find the MIS by ordering nodes from the least connected to most connected. We repeated the process 10,000 times. We found that for graphs with less...

This paper explores the relationship between Magic squares and the N-Queens. As these problems have applications in engineering, they are presented as an exercise for STEM (science, technology, engineering & math) pedagogy. The application of Mathematica on some aspects of these problems is presented.

This paper presents a smart parking system to guide a driver to an empty parking spot. This work focuses on to develop a mobile platform for the users to view the dynamic map of a parking lot to find the desired parking spot. We have worked on an arbitrary parking lot image, identified the separate parking spots and the status of the spots (occupie...

The concept of Least Action Principle (LAP) had been studied in classical mechanical and information theory. A system obeys LAP when achieving its goals with the least amount of resources; on other words, when it shows an optimal effectiveness. Thus, modeling systems by using such principle could enable optimal utilization of resources and maintain...

Advance communication is fast becoming a signature property of humankind. The latest development is the widespread use of wireless communication. In this study, we assumed a need for storage in antenna systems and studied how to minimize required storage space to reduce to cost and increase the security. We generated antenna systems randomly for di...

N-Queens problem is an ancient problem in recreational mathematics and computer science. Finding all solutions is shown to be NP-hard problem. There is no known analytic formula to produce all solutions. Numerous recent applications have been found in computer science and engineering. In this technical report, we introduce a new algorithm by using...

Not all flow cytometers are cell sorters, and very few papers talk in detail about the electronics for cell sorting. This paper covers critical techniques in cell sorting which include drop drive and charging pulse synchronization as well as defanning which have not been explored in detail in the literature before.

Biomolecules including small compounds, peptides, proteins, and nucleic acids (DNA, RNA) are the basic building blocks of living systems. Computational modeling of biomolecules and their interactions is a useful technique in studying and predicting events in biological systems. Due to the complexity and wide scale range of biological systems, curre...

Today, with the exponential growth of World Wide Web (WWW) knowledge is being generated by knowledge-contributors (mentors) into various sources (e.g. wikis, blogs, articles); on the other hand with simultaneous growth in the usage of computing devices this knowledge is being disseminated to knowledge-consumers (mentees) that are using a variety of...

In this paper, we demonstrate that independent set (stability set) notion from graph theory can be used to model least action principle in physics. It will be shown that the maximum independence number will correspond to the least action in information theoretical sense.

Software development for complex problem domains is a difficult undertaking with challenges to successful outcomes. Complex problem domains exhibit volatility, interactions, and unpredictability that place high demands on the creation of a software solution. For this type of problem, the process used to create the software solution, in addition to...

This paper introduces flow cytometry electronics to the Electrical Engineering community and briefly explains critical electronics aspects which confuse biologists. Furthermore, this paper explains flow cytometry from an interdisciplinary point of view and points out open research opportunities in electronics.

The conceptual frameworks and information architectures of app-centric software ecosystems and cyber-physical systems (CPS) provide complimentary approaches to modeling systems. When integrated, these frameworks combine to become cyber-physical ecosystems (CPE). CPE are CPS whose constituent members, themselves CPS, meet the criteria for considerat...

We observed that before initiating software development the objectives are minimally organized and developers introduce comparatively higher organization throughout the design process. To be able to formally capture this observation, a new communication channel representation system for software is developed in three stages a) set-theoretical repre...

In today's digital age, a plethora of websites host knowledge related to various professions. Individuals working in different professions in turn consume this knowledge either to advance their skills or to accomplish their professional responsibilities. As this knowledge is continuously evolving, both in terms of size and content, the process used...

In this paper, we approach quantum computing from a communication perspective that is to model quantum computing with a generalized noisy communication channel approach. We proposed a generalized noisy communication channel approach (GNCom) for quantum computing by introducing Fourier series to Shannon's noisy communication channel representation....

This paper surveys the strange phenomenon of light partial reflection, and illustrates the probability calculation of this phenomenon with Richard Feyman's quantum electrodynamics theory. The polarization of light with light reflection is also introduced in this paper. The calculation of light reflection intensity is also described in the paper. Th...

The diversity and volume of data generated by the cancer genome atlas (TCGA) has been increasing exponentially, with the number of data files hosted by NHI, currently 3/4 million, doubling every 7 months since January 2010. The proponents have recently developed a browser-based self-updating mechanism to catalog this dynamic big data repository. In...

Translational researchers conduct research in a highly data-intensive and continuously changing environment and need to use multiple, disparate tools to achieve their goals. These researchers would greatly benefit from meta-composite software development or the ability to continuously compose and recompose tools together in response to their ever-c...

Motivation: Since 2011, The Cancer Genome Atlas’ (TCGA) files have been accessible through HTTP from a public site, creating entirely new possibilities for cancer informatics by enhancing data discovery and retrieval. Significantly, these enhancements enable the reporting of analysis results that can be fully traced to and reproduced using their so...

Moore’s law has driven the rate of technological progress for computers during the past decades. There is statementThere are indications that Moore’s law is reaching its limit: the transistor switch size cannot be further scaled due to the physical features. of silicon. Despite this statement, ifHowever, If we blindly extrapolate Moore’s law into t...

This paper explores an FPGA-Based evolvable hardware design approach including both intrinsic and extrinsic evolution. The approach was applied in our previous work to both electrical engineering and biomedical engineering problems. The intrinsic approach was implemented in a Xilinx XUPV2P Vertex II Pro platform with genetic algorithm as the evolut...

This paper proposes a higher level undergraduate student course in evolvable hardware field. The course will be a result of graduate research transformation by applying combinational instruction approach in engineering education curriculum. A flexible, reconfigurable and economic FPGA prototype environment will be used to the course. It is our beli...

In this paper we present a system using Semantic Web by which applications can be effectively constructed for clinical research purposes. We are aware of the immense difficulties and variations involved in clinical research applications. With a purpose of mitigating some of these difficulties in the process of developing clinical research applicati...

Intelligence applications exploit heterogeneous data using High-Level fusion systems to gain information superiority. Whereas Low-Level fusion systems have well established frameworks, High-Level fusion has not yet achieved the same level of maturity. Most High-Level systems implement specialized algorithms that yield useful results, albeit for a v...

This paper presents app-centric software ecosystems as a software architecture that alleviates a set of overlapping concerns in clinical data management: the need for clinicians to more fully capture the data they collect and generate in the process of caring for their patients, and the need for healthcare informaticians to have channels for delive...

Extracellular recordings of very low electrical signals play a significant role in the analysis of nervous systems/brain functions. Furthermore, simultaneous recordings in a functional region of the brain allows to investigate communication among groups of neurons.However, in the recording the spike waveforms of individual neurons an overlap occurs...

In this paper, visual data analysis was applied to raw medical data using probability theory to provide valuable information for preliminary diagnosis. The evolvable hardware design approach combined with information theory was applied to model an adaptive cardiovascular system. The cardiovascular system is modelled by a digital logic circuit based...

Rapid technological advances, regulatory issues, and an aging population introduces increasingly complex and difficult to tackle problems into the field of health sciences and services [1, 2]. It has been widely accepted that there is a need for a comprehensive approach to resolve the fragmented solutions within health sciences and services. Theref...

In our desire to develop an educational environment, for evolutionary and adaptive circuit design at the university of Alabama at Birmingham we decided to use a Field Programmable Gate Array (FPGA) rapid prototyping environment. As the name implies, a Field-programmable Gate Array is an integrated circuit designed to be configured by a designer in...

This paper explores an approach in which cardiovascular system is modeled by digital logic circuit based on ECG and ABP signal samples as input and output respectively. In our exploratory experiments, three combinational circuits were extrinsically evolved using genetic programming as the evolutionary algorithm and mutual information as the fitness...

Social computing and networking has caused a dramatic evolution in the way people collaborate and interact via the Internet. Essentially, social computing represents the collection of technologies that gather, process, compute, and visualize social information. This new social structure has emerged creating an array of loosely integrated social com...

Even with today's advances in technology, the processes involved in medical research continue to be both time consuming and labor intensive. We have built an experimental integrated tool to convert the textual information available to the researchers into a concept map using the Web Ontology Language as an intermediate source of information. This t...

This paper explores an approach in which information theory is applied to the evolvable hardware field for auto-design and optimization of combinational logic circuits. In our exploratory experiment, two combinational circuits were extrinsically evolved using genetic programming as the evolutionary algorithm and mutual information as the fitness fu...

In this study, we approach systems from an information theoretical perspective. Specifically, we propose a framework to model systems by noisy communication channels and analyze them by this framework whose elements are commonly used analysis tools in science and engineering. A noisy communication channel model is a mechanism that accepts a set of...

The General Laboratory Active Cryogenic ISS Experiment Refrigerator (GLACIER) is a cryogenic freezer system that provides a generic interface to accommodate multiple biological sample types and volumes that require thermal control between +4 C and -- 160 C. This paper describes the software architecture of the GLACIER control and monitoring system,...

With recent healthcare legislation in the United States mandating the move to electronic healthcare records, the healthcare industry will need the scalable solutions provided by cloud computing. At the same time, healthcare providers could move their data to semantic systems to enable efficient knowledge reengineering and integration of patient dat...

Biomedical Engineering: Health Care Systems, Technology and Techniques is an edited volume with contributions from world experts. It provides readers with unique contributions related to current research and future healthcare systems. Practitioners and researchers focused on computer science, bioinformatics, engineering and medicine will find this...

The widespread adoption of cell phones and other mobile platforms represents an opportunity to extend the benefits of personalized, point-of-care, healthcare applications to providers and patients in the developing world. However, the challenges facing the effective deployment of mobile health care applications are complex, and thus require a scala...

Medication dosing errors can greatly reduce HIV treatment effectiveness as incorrect dosing leads to drug resistance and non-adherence. In order to dose correctly, HIV therapy providers must balance several patient characteristics such as renal functions and weight. In developing countries and other resource-limited settings, dosing errors are more...

This paper introduces an extended transdisciplinary framework for recursively synthesizing knowledge to solve common problems and simultaneously addressing a need for transdisciplinary solutions for enhancing and augmenting other fields of study. The benefits of a recursive transdisciplinary common process are described through details on how knowl...

In this paper, we apply design space decomposition to Domain-Specific Modeling Languages. This work, while building on previous work on domain-specific modeling and design space analysis, contributes to further understanding of the role of behavioral spaces. It introduces a modeling strategy originating from information theory and combinatorics for...

The availability of research platforms like the web tools of the National Center for Biotechnology Information (NCBI) has transformed the time-consuming task of identifying candidate genes from genetic studies to an interactive process where data from a variety of sources are obtained to select likely genes for follow-up. This process presents its...

Information and data sharing across heterogeneous e-health systems, focusing on the management of patient care, have become the backbone of modern delivery of sustainable telemedicine services. Information and data available to healthcare practitioners in such environments range from patient's medical records, stored in repositories at places where...

Naval research programs are focusing on a distributed architecture approach for successful migration of data from one region to another. This presents a challenging area of modeling and managing the distributed approaches. This article describes a service-based model, which comprises of two steps that are decomposition and orchestration, for effect...

The purpose of this paper is to introduce an approach that provides a software development and design framework leveraging the concepts of knowledge based engineering, Web services, service composition, and semantic service technology. Many aspects of software development projects can be improved with an information architecture that provides a fra...

High-Level fusion systems based on the JDL model are relatively immature. Current solutions lack a comprehensive ability to manage multi-source data in a multi-dimensional vector space, and generally do not integrate collection to action models in a cohesive thread. Recombinant Cognition Synthesis (RCS) leverages best-of-breed techniques with a geo...

Integrated software design and development can benefit greatly from a framework that will simplify the software development lifecycle by reducing collaborative laborintensive work. Many popular techniques have been introduced to improve the software development process, although the primary focus area has been on specific coding operations that do...

The integration of large systems remains problematic in spite of advances in composite services approaches, such as Web services and business process technologies. The next challenge in integration is composite process-personalization (CPP), which involves addressing the needs of the interaction worker. An interaction worker participates and drives...

The World Wide Web is playing a vital role in today's digital world. Most enterprises are becoming digital. Also, students and regular web users are turning their personal Web sites into small digital enterprises. Therefore, it is necessary to make the process of developing digital enterprises as automated as possible. A feasible way to build a dig...

The use of open source frameworks and tools has become popular in Java development. These frameworks and tools have core strengths and weaknesses and are selected accordingly for development. Consequently, one of the key issues that developers face is to integrate and configure these tools together. This paper demonstrates the use of popular Java f...

The widespread adoption of cell phones and other mobile platforms represent an opportunity to extend the benefits of personalized point-of-care healthcare applications to providers and patients in the developing world. However, the challenges facing the effective deployment of mobile health care applications are complex; thus, requiring a scalable,...

The current state of the art in applied decomposition techniques is summarized within a comparative uniform framework. These techniques are classified by the parametric or information theoretic approaches they adopt. An underlying structural model common to all parametric approaches is outlined. The nature and premises of a typical information theo...

Recombinant Cognition Synthesis (RCS) provides an architectural framework and methodology for combining multi-source metadata with predictive and analytic algorithms to synthesize actionable knowledge. RCS bridges an implementation gap in the current Joint Directors of Laboratories (JDL) Data Fusion model by specifically addressing the integration...

In this research, an interface-driven system architecture is validated and then decomposed into interface subsystems. The system is modeled and simulated in order to validate the system architecture prior to design and implementation. In addition to its emphasis on interfaces between components and its partitioning ability, the method presented has...

The notion of complex systems and system decomposition principles are briefly reviewed. From the perspective of formal decomposition of systems and as an application of entropic principles, an attempt is made to open up a new avenue of investigation for carcinogenesis.

Service functions and service activities are integral part of enterprises. Although technologies have improved for developing service functions, errors persist in service activities. Noted computer scientist Ramamoorthy describes personalization, customization, and humanization of service functions as an effective approach for reducing error in ser...

Patent Pub. No.: WO/2007/008687, from World Intellectual Property Organization: The present invention provides a system, method, and computer program product for consuming Web Services, and is composed of two parts. The first component of the present invention is a Web Services agent known as HERMES (Heterogeneous Resources Management Enterprise Sy...

Today’s challenge for retrieving digital information by users such as “students,” "educators,” or “researchers” is coping, more than ever before, with the excessive data and information available. The problem is further compounded because of the way scientific knowledge is structured, in terms of expert interviews, articles, conference coverage, jo...

Science, from the Latin scientia, means having knowledge. Epistemology is the study of how we come to and what constitutes knowledge. The biological sciences use empiricism and induction [1]. We make inferences, predictions, and estimations from data, commonly via statistical techniques. Confidence in our biological knowledge stems, partly, from co...

Software systems tend to be large scale and complex with the inevitable increase in their functionalities. The increasing costs related to system development and maintenance in correlation to the software size requires new assessment tools for the newly evolving development methodologies. Taking advantage of existing tools and methodologies in a ma...

A sound epistemological foundation for biological inquiry comes, in part, from application of valid statistical procedures. This tenet is widely appreciated by scientists studying the new realm of high-dimensional biology, or 'omic' research, which involves multiplicity at unprecedented scales. Many papers aimed at the high-dimensional biology comm...

Component-Based Software (CBS) engineering is envisioned to address the issues related to the increasing size and complexity of software systems. In CBS development, the designer designs systems by using readily available (possibly third party) software components without needing the source code for the components. Lack of source code, in general,...

One aspect that separates real-time programs from sequential and concurrent programs is that correctness depends not only on the logical correctness but also on the temporal properties of the system. In a multiprocessor environment, the allocation of processes among processors and the scheduling policy of each processor are two essential parameters...

Educational programs face many difficulties because of the rapid change of technology in today's environment. The potential for educational programs based on the transdisciplinary model is discussed in order to address and overcome these difficulties. A closer relationship with industry in developing educational programs is suggested. Finally, a ne...

The investigation of reuse has a long history, eventually maturing into the "build by integration" paradigm. Meanwhile, component technologies also improved along with engineering practices. What is missing is a methodology that uses components within such a paradigm, thus bridging the gap. The authors propose a model devoted to complete component...

Project management plays an important role in large-scale multidisciplinary software development. Yet, without a solid process project management is simply a means of tracking down software development activities - it by itself cannot exert much impact to the software quality and productivity. It is through a process centered software development e...

Large scale design problems involve complex systems. The complexity arises from the nature of the large interconnected systems and is escalated by the background, personal characteristics, and perspectives of the individuals working on the design team. It is important for designers to understand complexity and how complexity affects the understandi...

For an e-business to be successful, companies need to formulate a business strategy, have informative strategic alliances, develop an international system, build a proactive infrastructure, internationalize their model, capture the residual value, exploit the international telecommunications liberalization, homogenize the data structure and globali...