Pakistan-U.S. Science and Technology Cooperation Program Annual Technical Report Form



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Pakistan-U.S. Science and Technology Cooperation Program Annual Technical Report Form Reports should be prepared jointly by the Pakistani and U.S. principal investigators and should cover all project-related activities carried out during the reporting period on both sides. Please expand the boxes below to accommodate all the information you need to include. Project Title: Ambient Air Quality Monitoring using Integrated Secure Wireless Sensor and Vehicular Networks Pakistani Principal Investigator: Muhammad Tahir Hafiz Malik Reporting Period: October 1, 2012 September 30, 2013 Summary of Activities During Reporting Period: U.S. Principal Investigator: During the last year, focus of our research was development, testing and evaluation of secure communication and resource optimization algorithms. To date we have developed, tested, and evaluated our algorithms on three types of sensor nodes, (a) commercial sensor nodes such as MicaZ etc., (b) sensor nodes acquired from Dr. Tahir s Lab, and (c) sensor nodes developed at the UM-Dearborn. A brief overview of research activities and tasks accomplished during the last year is provided below. Sensing-enabled data security and verification: we have developed efficient algorithms and a prototype for secure data transfer over a short-range using near field communication (NFC) protocol. More specifically, sensing-centered data security algorithms were developed for NFC is a short-range, standards-based wireless connectivity technology, based on RFID technology that uses magnetic field induction to enable communication between electronic devices in close proximity. o Human gesture activated secure NFC - I: Human gesture recognition method was used for NFC, that is, human gesture is used for triggering NFC service/application. Motion sensor such as an accelerometer is used to record human movement like walking, running, posture transition, etc. A template matching based similarity detection algorithm was implemented to compare the data samples with pre-defined human movement templates. For better accuracy, the 3-D accelerometer and gyroscope sensors were used for 3-D motion human gesture template generation and matching. A prototype was developed using a Google Nexus Smartphone which is equipped with a 3-D accelerometer. To this end, a simple Android application was written to collect the data and tested on Google Nexus smartphone.

o Human gesture activated secure NFC II : In our second algorithm, we used statistical modeling based method to parameterize the human gesture templates. Maximum likelihood estimation based framework is used to estimate underlying density parameters which are used for human gesture motion recognition. A prototype was developed and tested using a Google Nexus Smartphone. To this end, a simple Android application was written to collect the human gesture-motion data, and tested in Matlab environment. The hardware development for solar energy harvesting and data acquisition using vehicular communication: we have designed and tested hardware for solar energy harvesting using sensor nodes. Sensor nodes from Dr. Tahir s Lab in UET Lahore, Pakistan, (our counterpart in Pakistan), commercially available MicaZ, and designed at UM-Dearborn were used for testing solar energy harvesting and data acquisition using vehicular communication. Design and development of hardware for sensor node realization and data visualization: we have developed hardware for rapid gas sensor node realization. The sensor nodes developed, in our Lab at the UM- Dearborn, are capable of monitoring up to five air pollutants. We have also developed a graphical user interface (GUI) visualization of instantaneous as well as long-term air quality data trends. A group of undergraduate students is working on developing algorithms to generate real-time spatial-temporal map for each sensor node in the network. Study of gas sensor nodes from Dr. Tahir s Lab: we have also completed the study of sensor nodes received from Dr. Tahir s Lab. Sensor calibration: During my Pakistan visit last January 26 Feb 2, 2013, me and Dr. Tahir visited SUPARCO Pakistan for gas sensor calibration. I also visited Dr. Tahir s Lab during this visit and acquired four sensor nodes. At UM-Dearborn, are are developing a gas sensor calibration set up to calibrate gas sensor nodes developed at the UM-Dearborn. I also participated in the First Pakistan-US Science & Technology Symposium, where we presented the project progress and gave a real-time demo of our experimental testbed. Pakistan Side: During the last year, our focus has been on the development and deployment of multiple sensor nodes. To date we have developed and tested a batch of sixteen sensor nodes, of which four sensor nodes are being used on the US side for experimentation. A packaging case has been designed and developed for deployment and we are currently working for its further improvement to make it capable of withstanding severe weather conditions. Below is the brief list of tasks that we have accomplished during the last year. 1) The hardware development and testing for a batch of sixteen sensor nodes has been completed.

2) Simple data transfer protocols and graphical user interface for data visualization have been implemented. 3) We are in the process of developing our project website, which will host the details of the developed tools as well as serve as the source of online sensor data obtained from our sensor nodes. 4) The current firmware development activity is concentrated on the data storage and retrieval from local sensor node buffers. We are implementing widely used data structures for efficient information storage and retrieval. Additionally, we are developing some over the air programming capability for parametric configurations of the sensor nodes. 5) A visit to SUPARCO Pakistan was arranged for calibration of our gas sensors and a hardware setup for that purpose is developed. 6) We participated in the First Pakistan-US Science & Technology Symposium, where we presented the project progress and gave a real-time demo of our experimental test-bed. Educational Impacts: U.S. Side Undergraduate Level: This year three groups of undergraduate students: 1. Li, K., and Zhao, Y., Test bed for Air Pollution Monitoring using Wireless Sensor Networks. Fall 2012 Winter 2013.. 2. Chen, Z., Zhao, Y., Shao, X., and Li, X., Communication between Base Stations and Vehicles with Wireless Sensor Network. Fall 2012 Winter 2013. 3. Yang, X., Tian, J., Zhou, L., and Atwain, A., Audio Source Localization and Tracking. Winter 2013. In addition, another group of undergraduate students (Mr. Youchao Dong and Mr. Tianchong Gao) is currently working on Real-Time Monitoring and Mapping of Air Pollution for their senior design project. These undergraduate students will be finishing their senior design projects by the end of Summer 2013. Graduate Level: During this year, Mr. Tuo Xiang completed his MS project while working on Near Field Communications -- Defense Against Malware. Mr. Xiang used human gesture motion recognition for secure NFC. He developed a prototype using the Google Nexus Smartphone. Similarly, Mr. Haoyu Li also completed his MS project while working Near Field

Communications -- Defense Against Malware. He used human gesture recognition for secure NFC. Mr. Li used statistical data modeling methods to parameterize human gesture motion and maximum likelihood estimation criterion to estimate the underlying density parameters. The estimated parameters are used for gesture recognition for secure NFC. He developed a prototype using the Google Nexus Smartphone. Two graduate students are working on developing a Test bed for Air Pollution Monitoring using Wireless Sensor Networks. Pakistan Side An undergraduate group of students () is currently working on different aspects of the project. The key project activities accomplished by them as well as currently in progress are (a) the communication protocol implementation for over the air configuration of the sensor nodes allowing us to change parameters of installed sensor nodes wirelessly, (b) implementation of real-time-clock (RTC) functionality and its synchronization for time stamping purpose of the sensed data. In addition, work on the project website is in progress and a second visit to SUPARCO is being arranged to train this group of students the process of gas sensor calibration. An M.S. student Ms. Arfa Dilawari has completed her thesis related to this project. She has developed optimization techniques for improved communication network performance by introducing new dimension to the sensor node design. In particular, she has proposed optimal data flow splitting for sensor nodes with multiple RF interfaces. Her work has resulted in two conference publications in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications and is currently being extended for journal publication. In addition to the above mentioned human resource development, we have used our expertise in the development of an embedded systems laboratory, which is funded by Mentor Graphics Pakistan and grant of Rs. 3.8 Million has been sanctioned. The students will be taught to develop small size embedded platforms and they will learn the development process of software, firmware and hardware and will be exposed to the use of different debugging, programming and testing tools as well. Infrastructure Development: During last year, we acquired four sensor node from Dr. Tahir s Lab and we also have developed 10 gas sensor nodes and two base stations in our lab at the UM-Dearborn. We are working on developing a calibration platform at the in our lab at the UM-Dearborn. We are working on sharing sensor data online.

Pakistan Side: In addition to the infrastructure developed during the previous years, we have developed gas sensor calibration platform. For sensor node packaging purpose we have acquired a cutting machine that can be used for developing different custom casings of different materials. A server is acquired and configured for data hosting and online access of the sensed data. Publications: 1) M. Abbas, M. Tawhid, K. Saleem, H. Mahmood, and H. Malik, Solar Energy Harvesting and Management in Wireless Sensor Networks, International Journal of Distributed Sensor Networks. (submitted) 2) H. Malik, A Model Driven Framework for Automatic Acoustic Environment Identification, IEEE Transactions on Audio Speech and Language Processing. (submitted) 3) M. Abbas, H. Mahmood, and H. Malik, Energy Harvesting and Management in Wireless Sensor Networks for Perpetual Operations, Journal of Circuits, Systems, and Computers. (submitted) 4) Q.-A. Minhas, H. Mahmood, and H. Malik, Cost Based Stackelberg Potential Game for Cognitive Radio Ad Hoc Network, IEEE Communications Letters. (submitted) 5) H. Malik Acoustic Environment Identification and Its Applications to Audio Forensics, IEEE Transactions on Information Forensics and Security, vol. 8(11), pp. 1827 1837, November 2013. 6) H. Zhao, and H. Malik, Audio Recording Location Identification using Acoustic Environment Signature, IEEE Transactions on Information Forensics and Security, vol. 8(11), pp. 1746 1759, November 2013. 7) A. Ahmed, and H. Malik, Security of Biometrics using Multimodal Approach, Proc. of Int. Symposium on Biometrics and Security Technologies (ISBAST 13), 2013, July, Chengdu, Sichuan China. 8) R. Ahmad, S.P. Raza, and H. Malik, Unsupervised Multimodal VAD using Sequential Hierarchy, Proc. of IEEE Symposium Series on Computational Intelligence 2013 (ISSCI 13), 2013, April, Singapore 9) S. A. Arshad, M.A. Murtaza, M. Tahir, " Optimal Buffer Management for Relay Nodes in Integrated Wireless Sensor and Vehicular Networks", published in IEEE Int. Consumer Communications and Networking Conferece, 2012. 10) S. A. Arshad, M.A. Murtaza, M. Tahir, "Fair Buffer Allocation Scheme for Integrated Wireless Sensor and Vehicular Networks using Markov Decision Processes", published in IEEE 76th Vehicular Technology Conference,2012. 11) M. A. Murtaza and M. Tahir. Optimal Data Transmission and Battery Charging Policies for Solar Powered Sensor Networks using Markov Decision Process, IEEE Wireless Communications and Networking Conference (WCNC), pages

992-997, 2013. 12) A. Dilawari and M. Tahir, Jointly Optimal Utility Distortion-Robustness and Lifetime Tradeoff for Multimedia Networks, accepted IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2013. 13) A. Dilawari and M. Tahir, Optimal Flow Splitting for Multi-Path Multi-Interface Wireless Data Streaming Networks, accepted IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2013. Additional Funding: None Linkages with Government or Private Industry: We have been actively interacting Dr. Hasan Mehmood s Wireless Sensor and Ad-Hoc Networks in the Department of Electronic at the Quaid-i-Azam University, Islamabad, Pakistan. We are also collaborating with Dr. Mohd. Fauzi Othman from the Center for Artificial Intelligence at Robotics at the Universiti Teknologi Malaysia (UTM). Pakistan Side: We have been actively interacting with the department of engineering sciences of Lahore University of Management and Sciences (LUMS). In particular, we have exchanged information with Dr. Jahangir Ikram, who is the project lead at LUMS. Additionally, we are working on sensor calibration with Suparco Pakistan, since they have the EPA approved air quality monitoring vehicle. We are also interacting with the Department of Environmental Engineering at UET Lahore for possibilities of having a team of students from both the departments to work together for better utilization of developed resources in the project. Problems Encountered: One of the major roadblocks that we encountered last year was calibration of the sensor nodes. To get around it, we decided to develop a calibration platform at the UM- Dearborn. Plans for Activities During the Coming Year:

The following activities are planned for the remaining period of the project. 1. Sensor calibration: We will be developing a sensor collaboration platform that will be used to calibrate sensor nodes. 2. Sensor deployment calibration: Calibrated sensors will be deployed in Department of Electrical and Computer Engineering at the UM-Dearborn. 3. Online data sharing: A real-time spatial-temporal map for each sensor node in the network will be available online. 4. Sensing-enabled data security and verification: Sensing-enabled data security and verification algorithms will be evaluated on the deployed sensor nodes. 5. Performance comparison with existing state of the art: We also plan to evaluate performance of developed nodes at UET Lahroe and UM-Dearborn with existing state of the art, such as, MicaZ and Iris. Pakistan Side: With the help of calibration facility of SUPARCO, develop a set of reference nodes that can be used for calibration of other sensor nodes. On campus deployment of sensor nodes that will serve the purpose of pilot project and will be used for local data collection and monitoring. Development of a user guide that explains the design and development of nodes and outlines the procedure for configuration, testing and usage of the sensor nodes. Bringing the project website online and making the relevant information and data available for use. Supplementary Information: If applicable, please attach copies of project-related workshop or conference agendas, course curricula developed, summaries of research data collected in the course of the project, or articles about the project appearing in newspapers, journals, or Web sites. Please note that your report will be posted on the program Web site, so please do not include any data you do not wish to make publicly available at this point in your research. Indicators Reporting Period: 1. Number of higher education partnerships between Pakistani and 0 + 1 =1 U.S. institutions (see note below) 2. Number of journal articles, technical reports, books, or book chapters 0 + 2 = 2 (published or accepted for publication) resulting from your project during the reporting period 3. Number conference presentations resulting from your project during 3 + 2 = 5 the reporting period 4. Number of training events (courses, workshops, seminars, 1 conferences, stakeholders meetings) conducted on your project during the reporting period 5. Total number of Pakistanis making exchange visits on your project 1 during the reporting period Number of women 0

Number of men 1 6. Total number of Americans making exchange visits on your project during the reporting period Number of women Number of men 7. Total number of exchange visits overall during the reporting period 1 8. Total number of Pakistani PhD students involved in the project 3 Number of women 1 Number of men 2 9. Total number of American PhD students involved in the project Number of women Number of men 10. Total number of all other Pakistanis not listed above who participated in your project during the reporting period (Include in this 5 total those who were involved as researchers, MS or undergraduate students, technicians, or data collectors, as well as those who received formal training in workshops or courses or participated in conferences or stakeholders meetings organized as part of the project.) Number of women 1 Number of men 4 11. Total number of all other Americans not listed above who 14 participated in your project during the reporting period (Include in this total those who were involved as researchers, MS or undergraduate students, technicians, or data collectors, as well as those who received formal training in workshops or courses or participated in conferences or stakeholders meetings organized as part of the project.) Number of women 4 Number of men 10 Note on Question 1: For the number of higher education partnerships, please count the partnership between your institution and your Pakistani counterpart s institution as one. If your project also involves collaboration with other Pakistani institutions / US institutions (universities, research institutes, government agencies, or non-governmental organizations), please add each such additional institution to your total.