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Yusuf Ozturk
Department of Electrical and Computer Engineering, San Diego State University, San Diego 92182, CA, USA

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Review
Published: 18 August 2018 in Renewable and Sustainable Energy Reviews
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Smart grid enables the two-way communication between the suppliers and consumers. Price-driven demand response (PDDR) is one of the important demand response categories that uses price of the energy as control signals to affect consumers’ electricity consumption. The current PDDR programs include critical peak pricing (CPP), time-of-use (TOU) pricing, and real-time pricing. In this paper, we provide a review of the PDDR studies. Detailed evaluations on advantages and disadvantages of each PDDR are provided. Concerns and future research challenges on PDDR are also addressed. It is believed that with the installation of smart meter infrastructures at residential households, price signal can be an efficient market tool for peak demand shaving, risk and reliability management, carbon emission reduction, and energy cost reduction.

ACS Style

Xing Yan; Yusuf Ozturk; Zechun Hu; Yonghua Song. A review on price-driven residential demand response. Renewable and Sustainable Energy Reviews 2018, 96, 411 -419.

AMA Style

Xing Yan, Yusuf Ozturk, Zechun Hu, Yonghua Song. A review on price-driven residential demand response. Renewable and Sustainable Energy Reviews. 2018; 96 ():411-419.

Chicago/Turabian Style

Xing Yan; Yusuf Ozturk; Zechun Hu; Yonghua Song. 2018. "A review on price-driven residential demand response." Renewable and Sustainable Energy Reviews 96, no. : 411-419.

Journal article
Published: 17 December 2017 in Sensors
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Respiratory activity is an essential vital sign of life that can indicate changes in typical breathing patterns and irregular body functions such as asthma and panic attacks. Many times, there is a need to monitor breathing activity while performing day-to-day functions such as standing, bending, trunk stretching or during yoga exercises. A single IMU (inertial measurement unit) can be used in measuring respiratory motion; however, breathing motion data may be influenced by a body trunk movement that occurs while recording respiratory activity. This research employs a pair of wireless, wearable IMU sensors custom-made by the Department of Electrical Engineering at San Diego State University. After appropriate sensor placement for data collection, this research applies principles of robotics, using the Denavit-Hartenberg convention, to extract relative angular motion between the two sensors. One of the obtained relative joint angles in the “Sagittal” plane predominantly yields respiratory activity. An improvised version of the proposed method and wearable, wireless sensors can be suitable to extract respiratory information while performing sports or exercises, as they do not restrict body motion or the choice of location to gather data.

ACS Style

Apoorva Gaidhani; Kee S. Moon; Yusuf Ozturk; Sung Q. Lee; Woosub Youm. Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion. Sensors 2017, 17, 2932 .

AMA Style

Apoorva Gaidhani, Kee S. Moon, Yusuf Ozturk, Sung Q. Lee, Woosub Youm. Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion. Sensors. 2017; 17 (12):2932.

Chicago/Turabian Style

Apoorva Gaidhani; Kee S. Moon; Yusuf Ozturk; Sung Q. Lee; Woosub Youm. 2017. "Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion." Sensors 17, no. 12: 2932.

Journal article
Published: 24 September 2016 in Sensors
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All neural information systems (NIS) rely on sensing neural activity to supply commands and control signals for computers, machines and a variety of prosthetic devices. Invasive systems achieve a high signal-to-noise ratio (SNR) by eliminating the volume conduction problems caused by tissue and bone. An implantable brain machine interface (BMI) using intracortical electrodes provides excellent detection of a broad range of frequency oscillatory activities through the placement of a sensor in direct contact with cortex. This paper introduces a compact-sized implantable wireless 32-channel bidirectional brain machine interface (BBMI) to be used with freely-moving primates. The system is designed to monitor brain sensorimotor rhythms and present current stimuli with a configurable duration, frequency and amplitude in real time to the brain based on the brain activity report. The battery is charged via a novel ultrasonic wireless power delivery module developed for efficient delivery of power into a deeply-implanted system. The system was successfully tested through bench tests and in vivo tests on a behaving primate to record the local field potential (LFP) oscillation and stimulate the target area at the same time.

ACS Style

Yi Su; Sudhamayee Routhu; Kee S. Moon; Sung Q. Lee; Woosub Youm; Yusuf Ozturk. A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface. Sensors 2016, 16, 1582 .

AMA Style

Yi Su, Sudhamayee Routhu, Kee S. Moon, Sung Q. Lee, Woosub Youm, Yusuf Ozturk. A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface. Sensors. 2016; 16 (10):1582.

Chicago/Turabian Style

Yi Su; Sudhamayee Routhu; Kee S. Moon; Sung Q. Lee; Woosub Youm; Yusuf Ozturk. 2016. "A Wireless 32-Channel Implantable Bidirectional Brain Machine Interface." Sensors 16, no. 10: 1582.

Journal article
Published: 21 September 2010 in Wireless Networks
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Dynamic address allocation is an essential part in effective configuration and maintenance of a mobile ad-hoc network (MANET). In this paper, we present a new distributed dynamic address allocation protocol minimizing address allocation latency and communication overhead. Through analytic evaluation and experimental measurements, we show that scalability and faster recovery from failures can be achieved by dynamic address allocation. The dynamic address assignment protocol presented here requires a low memory footprint while supporting unicast, broadcast and multicast communication. A performance analysis of the proposed address allocation protocol is given in terms of address allocation latency and communication overhead. Node and Network mobility is addressed from the point of dynamic address management. The dynamic address allocation protocol is implemented on a TinyOS platform over a cluster tree network.

ACS Style

Yusuf Öztürk; Vaibhav Nagarnaik. A scalable distributed dynamic address allocation protocol for ad-hoc networks. Wireless Networks 2010, 17, 357 -370.

AMA Style

Yusuf Öztürk, Vaibhav Nagarnaik. A scalable distributed dynamic address allocation protocol for ad-hoc networks. Wireless Networks. 2010; 17 (2):357-370.

Chicago/Turabian Style

Yusuf Öztürk; Vaibhav Nagarnaik. 2010. "A scalable distributed dynamic address allocation protocol for ad-hoc networks." Wireless Networks 17, no. 2: 357-370.

Journal article
Published: 08 April 2010 in Journal of Network and Computer Applications
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Pervasive care and chronic disease management to reduce institutionalization is a priority for most western countries. The realization of next generation ubiquitous and pervasive healthcare systems will be a challenging task, as these systems are likely to involve a complex structure. Such systems will consist of various devices, ranging from resource-constrained sensors and actuators to complex multimedia devices, supporting time critical applications. This is further compounded by cultural and socio-economical factors that must be addressed for next generation healthcare systems to be widely diffused and used. In this study, the requirements for a vital sign monitoring solution space is derived and mPHASiS is developed based on these requirements. mPHASiS is an end to end solution not only providing sensor networking and vital sign monitoring but also closing the loop by signaling alert messages to the caregiver and allowing pervasive access to vital signs of a patient using smartphones over a heterogeneous network. A role based access control mechanism is developed to limit access to sensitive data. The end to end delay and delay variations for both vital sign data collection and pervasive access are analyzed. mPHASiS is developed as a complementary solution augmenting functionality of a hospital information system and can be loosely couple with the hospital information system using webservices.

ACS Style

Prajakta Kulkarni; Yusuf Ozturk. mPHASiS: Mobile patient healthcare and sensor information system. Journal of Network and Computer Applications 2010, 34, 402 -417.

AMA Style

Prajakta Kulkarni, Yusuf Ozturk. mPHASiS: Mobile patient healthcare and sensor information system. Journal of Network and Computer Applications. 2010; 34 (1):402-417.

Chicago/Turabian Style

Prajakta Kulkarni; Yusuf Ozturk. 2010. "mPHASiS: Mobile patient healthcare and sensor information system." Journal of Network and Computer Applications 34, no. 1: 402-417.

Journal article
Published: 09 April 2009 in Computer Applications in Engineering Education
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ACS Style

Yusuf Öztürk. Network in a Box: Facilitating problem-based learning through network emulation. Computer Applications in Engineering Education 2009, 19, 433 -446.

AMA Style

Yusuf Öztürk. Network in a Box: Facilitating problem-based learning through network emulation. Computer Applications in Engineering Education. 2009; 19 (3):433-446.

Chicago/Turabian Style

Yusuf Öztürk. 2009. "Network in a Box: Facilitating problem-based learning through network emulation." Computer Applications in Engineering Education 19, no. 3: 433-446.

Journal article
Published: 01 September 2008 in International Journal of Network Management
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ACS Style

Yusuf Öztürk; Manish Kulkarni. DIChirp: direct injection bandwidth estimation. International Journal of Network Management 2008, 18, 377 -394.

AMA Style

Yusuf Öztürk, Manish Kulkarni. DIChirp: direct injection bandwidth estimation. International Journal of Network Management. 2008; 18 (5):377-394.

Chicago/Turabian Style

Yusuf Öztürk; Manish Kulkarni. 2008. "DIChirp: direct injection bandwidth estimation." International Journal of Network Management 18, no. 5: 377-394.

Book chapter
Published: 01 January 2007 in Artificial Intelligence: Foundations, Theory, and Algorithms
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ACS Style

Yusuf Öztürk. Wireless Sensor Networks. Artificial Intelligence: Foundations, Theory, and Algorithms 2007, 47 -69.

AMA Style

Yusuf Öztürk. Wireless Sensor Networks. Artificial Intelligence: Foundations, Theory, and Algorithms. 2007; ():47-69.

Chicago/Turabian Style

Yusuf Öztürk. 2007. "Wireless Sensor Networks." Artificial Intelligence: Foundations, Theory, and Algorithms , no. : 47-69.

Conference paper
Published: 01 January 2007 in 2007 IEEE International Conference on Image Processing
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This paper presents a hardware implementation solution to a real time stereo matching problem using system of associative relations (SOAR) computational model. SOAR makes use of pair-wise pixel interactions captured as direction of derivatives to determine the underlying structure of associations within an analysis token. SOAR also offers a similarity measure to assess similarity of two such structures of associations. This paper presents a suitable hardware implementation for real-time stereo correspondence using SOAR structural analysis tokens and similarity measure. The cost of hardware implementation using FPGA is presented along with performance improvements from frequency scaling, unit multiplicity and search depth for stereo matching. Real time stereo matching is achieved through hardware unit multiplicity and frequency scaling.

ACS Style

Vikram Simhadri; Premanand Chandramani; Yusuf Ozturk. RASCor: Realtime Associative Stereo Correspondence. 2007 IEEE International Conference on Image Processing 2007, 6, VI - 197 -VI - 200.

AMA Style

Vikram Simhadri, Premanand Chandramani, Yusuf Ozturk. RASCor: Realtime Associative Stereo Correspondence. 2007 IEEE International Conference on Image Processing. 2007; 6 ():VI - 197-VI - 200.

Chicago/Turabian Style

Vikram Simhadri; Premanand Chandramani; Yusuf Ozturk. 2007. "RASCor: Realtime Associative Stereo Correspondence." 2007 IEEE International Conference on Image Processing 6, no. : VI - 197-VI - 200.