Dr Nabih Jaber and his students Tahmina Gouhar, and Pallavi Kuntumalla have published a paper, entitled “Speech enhancement using new iterative minimum statistics approach” in the 2017 IEEE 30th CCECE conference.Abstract:In hands-free mobile communication, speech quality is often degraded due to presence of surrounding noise. This paper introduces an improved version of Minimum Mean Square Error (MMSE) noise estimator. Noise spectrum estimation is a crucial element used in speech recognition systems. Our proposed noise estimation method is based on a popular searching algorithm used in software engineering called Binary Search (BS), which we integrate with First-In First-Out (FIFO) MMSE noise reduction algorithm. In the literature, there is no research addressing the integration of BS algorithm with an active noise cancellation system. The noise spectral minima are computed using BS algorithm which makes it fast and efficient. The proposed algorithm is tested using real time data collected from vehicles running at different speeds. Simulation results are provided, and it is shown that the proposed algorithm outperforms other MMSE algorithms.
Dr Jinjun Xia and student Ashley Julin have published a paper entitled “Polarization enhanced laser speckle contrast imaging for vascular dynamic study” in the SPIE Digital Library as part of the proceedings of the Dynamics and Fluctuations in Biomedical Photonics XIV conference. SPIE is the international society for the study of optics and photonics. The paper has Digital Object Identifier http://dx.doi.org/10.1117/12.2249928.
Dr. Nabih Jaber has coauthored a paper entitled “A quantitative real time data analysis in vehicular speech environment with varying SNR” in the 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP). The abstract is as follows:
The purpose of this paper is to compare the performance of two common filters operating on noisy speech recorded in automobiles travelling at various speeds. The filters are based on Spectral Subtraction (SS) and Kalman Filtering (KF). The literature contains studies based on simulated data whereas this paper uses real time data collected in car’s in search of an optimal solution. The comparisons were based on real recorded samples containing noisy speech signals with durations of approximately 2 minutes each. Different cases of noise levels which represent the most common situations experienced by drivers were created. The different settings used include varying car speeds (e.g., 40 mph, 70 mph), varying fan power, and window positions settings. The study was carried out using three different car models. The measured noisy voice signals were filtered using the different filtering techniques and the resulting filtered signals were compared in the time domain and the frequency domain, both quantitatively and psychometrically. Furthermore, the quantitative analysis approach was applied to the results for more accurate interpretation. Results show that SS outperforms KF in noise reduction, and with much less speech distortion at the different Signal to Noise Ratios (SNRs) tested. The audio test results subjected to human listening are comparable with the simulation results. Overall, SS showed superior performance over KF in vehicular hands-free speech applications.
For more information, see http://ieeexplore.ieee.org/abstract/document/7813375/
Dr Nabih Jaber has had a paper accepted by the International Journal of Vehicular Communications, published by Elsevier. The abstract of the paper, entitled “Passive Cooperative Collision Warning (PCCW) MAC designs for reliable vehicular safety messaging”, is as follows:
This paper presents – Passive Cooperative Collision Warning (PCCW), and enhanced-PCCW (EPCCW) protocol designs for safety message reception reliability improvement in Dedicated Short Range Communications (DSRC). PCCW and EPCCW employ a cooperative warning scheme for reduction of collisions, without increasing packet traffic. EPCCW utilizes the physical layer (PHY) properties to create sub-slots for the purpose of further increasing reliability by both avoiding and minimizing probability of collision at slots that would nominally fail. Full analytical derivation of the relative reliability and delay performances for both PCCW and EPCCW protocols is provided. An accurate and complete simulation model is used, which combines an accurate DSRC PHY, MAC and federated mobility model designed using the Simulation of Urban MObility (SUMO) model. Analytical and simulation results agree and show that PCCW and EPCCW protocols significantly improve reliability performance relative to the leading safety messaging protocols. Under high collision scenarios and at optimal number of repetitions, an improvement of up to 40% in reliability is observed, and up to 80% of improvement is achieved at higher load. Improvement in average timeslots delay is also observed that is well within acceptable delay threshold. Thorough simulation results of the proposed protocols are presented under varying message range, coding rates, modulation schemes, channel models, vehicular densities, safety message lifetimes, and transmission frequencies.
The paper can be downloaded at http://www.sciencedirect.com/
Dr Lisa Anneberg presented a paper at the 2014 American Society For Engineering Education North Central Section Conference, held on April 4 and 5. The ASEE NCS was hosted by Oakland University’s School of Engineering and Computer Science in Rochester, MI. The paper, entitled “Sustainable Global Engineering Education Program with the USA and China,” details a ten-year collaboration between LTU and SUES (Shanghai University of Engineering Science). Anneberg’s coauthor is Suyun Luo, Assistant Dean of the Automotive College at Shanghai University of Engineering Science, in Songjiang, Shanghai, China.
Dr Nabih Jaber has had a paper accepted for publication in the IEEE NTMS’2014 – the Sixth IFIP International Conference on New Technologies, Mobility and Security. The conference will be held from March 30th to April 2nd at Zayed University, Dubai, UAE. The abstract of the paper entitled “Efficient Home Energy Management System” is as follows:
Consumer domain energy management systems or home energy management system (HEMS) is largely neglected in existing practical smart grid EMS studies. This paper presents a practical HEMS that supports various existing and emerging actors. Some of the proposed features include the support of automatic and manual scheduling and control of the devices, continuous monitoring and efficient notification. The goal of the design is to achieve optimized performance under dynamic situations. For better understanding and implementation of the concepts behind our proposed design, detailed Use Case diagrams of the various actors and their functionalities are presented. A substantial amount of peak shaving/shifting is observed using the proposed application.
Dr. Kun Hua is serving as the chair of Mobile Multimedia Networks Workshop, in conjunction with the 14th IEEE International Conference on Computer and Information Technology (CIT 2014), which will be held in Xi’an, China, Sep 11-13, 2014. Dr. Nabih Jaber is serving as a Program Committee Member.
Call for Papers
IEEE CIT 2014 Workshop on Mobile Multimedia Networks
We have witnessed the rapid development of wireless sensor networks over the past decade, with advancements in network communication protocols, system design, signal processing, controls and other aspects. Especially, there has been increasing interest on Mobile Multimedia Networks (MMN) in recent years. Such mobile multimedia networks are extremely valuable in situations where traditional deployment mechanisms fail or just not suitable, and where sensors cannot be manually deployed or air-dropped. Such areas include underwater or airborne sensor networks, robotic sensing, structural health monitoring, advanced health care delivery, video surveillance, traffic enforcement and control systems, etc. Many challenging and interesting topics will be involved in research of mobile multimedia networks, (e.g., energy-efficient multimedia source coding, MIMO techniques for multimedia delivery, cross-layer optimization, secure multimedia streaming, network localization, coverage and deployment, and cooperative transmission for multimedia delivery, etc.).
The MMN 2014 workshop aims to provide researchers who share similar research interests to meet and address various aspects of analysis, design, optimization, implementation, and application of mobile multimedia networks. In this workshop, we solicit research papers with respect to all aspects of mobile multimedia networks. Particularly, we are interested in the research submissions focusing on the following aspects, but not limited to:
(1) Capacity modeling, performance analysis, and theoretical analysis
(2) Experimental and test bed studies, simulation tools
(3) Joint multimedia processing and communication solutions
(4) Real-time and reliable multimedia streaming
(5) Mobile multimedia network architectures, deployments, and heterogeneous applications
(6) Semantic annotation for mobile multimedia streams processing and management
(7) Energy-efficient mobile multimedia networks
(8) Cross-layer optimization for effective communications
(9) Context/content aware approaches for facilitating multimedia streaming
(10) Secure multimedia streaming transmission and QoS
(11) Cooperative transmission for multimedia delivery and collaborative in-network processing
(12) Energy-efficient multimedia source coding
(13) Topology control and synchronization protocols
(14) Distributed source coding and multimedia encoding techniques
(15) Network localization, coverage and deployment techniques
(16) MIMO techniques for multimedia delivery
Submissions and Publishing
Papers submitted to MMN2014 should be written in English conforming to the IEEE Conference Proceedings Format(8.5″ x 11″, Two-Column). The length of the papers should not exceed 6 pages + 2 pages for over length charges. The paper should be submitted in PDF format through the EasyChair paper submission system at the workshop website (EasyChair submission link: https://www.easychair.org/conferences/?conf=citmmn2014).
Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press (indexed by EI). Distinguished papers accepted and presented in MMN 2014, after further extensions, will be published in special issues of several SCI/SCIE Indexed Journals.
Submission Deadline: April 10st, 2014
Author Notification: May 20th, 2014
Camera Ready: June 20th, 2014
Registration Deadline: June 20th, 2014
Kun Hua, Lawrence Technological University, USA
Tao Ma, Xidian University, China
TPC member list:
Qiang Duan, Pennsylvania State University, USA
Jiancun Fan, Xi’an Jiaotong University, China
Jun Huang, Chongqing University of Posts and Telecommunications, China
Nabih Jaber, Lawrence Technological University, USA
Yanqing, Ji, Gonzaga University, USA
Tigang Jiang, University of Electronic, Science and Technology of China
Honggang Wang, University of Massachusetts Dartmouth, USA
Wei Wang, South Dakota State University, USA
Yin Wang, Lawrence Technological University, USA
Jianjun Yang, University of North Georgia, USA
Liang Zhou, Nanjing University of Posts and Telecommunications, China
Ruonan Zhang, Northwestern Polytechnical University, China
Scholarships have been awarded to seven students at Lawrence Technological University and five at Monroe County Community College (MCCC) under a scholarship program funded by the National Science Foundation (NSF) to address the need for more engineers for the power industry.
The five MCCC scholarship recipients are expected to enroll at Lawrence Tech within the next year.
As a result, the full five-year grant of $598,000 for the Scholarship in Science, Technology, Engineering and Mathematics (S-STEM) program has been approved based on the results during the first year under the leadership of Assistant Professor Kun Hua of the Department of Electric and Computer Engineering.
Thanks to the NSF grant, Lawrence Tech is offering $10,000 scholarships for two years to community college graduates to complete a bachelor’s degree in electrical engineering with a power engineering concentration. Community college students working on their associate degree in this area also qualify.
Responding to an impending national shortage of power engineers needed for the nation’s electricity production plants and distribution system, last year NSF awarded LTU the five-year grant to provide scholarship assistance to students in this field.
Power engineers develop, maintain, and modernize “the Grid,” the vast network of transformers, generators, motors and electronics that supply electrical power.
LTU’s S-STEM scholarship recipients gain additional knowledge about the power industry from outside speakers, field trips and participation in professional organizations. Internships and job placement are also part of the scholarship program.
“LTU is leveraging its network of local and regional partnerships to aid in the recruitment, retention, and job placement of the S-STEM scholars,” said Hua, the S-STEM advisor.
One of those partners is DTE Energy, which has a specific need to hire more nuclear engineers for its Enrico Fermi Nuclear Generating Station near Monroe. DTE Energy worked with Monroe County Community College in developing the associate degree in nuclear engineering technology, and graduates of that program are eligible for the scholarship program to continue their studies at LTU.
Article by Dr Kun Hua
The Wireless Communication Lab is now available for undergraduate senior projects and graduate class projects involving Software Defined Radio.
I am using seed grant funding to develop an adaptive and robust software radio communication system with my undergraduate and graduate students. The aim is to generate an automotive embedded system to scan commercial radio stations and automatically select a station that is currently playing music, sports, a talk show, weather information, etc. This would allow users to skip commercials and listen to preferred content continuously without having to manually scan for stations. The system is designed to perform real time analysis of an audio stream through pattern recognition, data mining, nonlinear optimization, signal processing, and embedded techniques. Features and more advanced adaptation algorithms can be implemented at a later stage. In the future, with just one click, you will be able to listen to all live local games — Red Wings, Lions, Pistons, Wolverines, Spartans — whether you are driving along the coast of California or skiing in rural Colorado.