@article {Sabri20211571,
	title = {Acupuncture efficacy study using electromyographic signals},
	journal = {International Journal of Circuits, Systems and Signal Processing},
	volume = {15},
	year = {2021},
	note = {cited By 0},
	pages = {1571-1584},
	abstract = {Acupuncture is a centuries-old therapeutic technique. However, because of the large number of complicating circumstances, it has been difficult to clearly prove the treatment{\textquoteright}s therapeutic effectiveness. As a result, acupuncture has failed to acquire acceptance in the mainstream clinical sector. An electromyography (EMG) sensor was built and used to test the effcacy of acupuncture in alleviating muscular stiffness in this study. Electrodes, differential and inverting ampliffers, fflters, and a full-wave rectiffer made up the EMG circuit. The output of the circuit was sent to a microcontroller for analog-to-digital transformation in order to perform data acquisition. Acupuncture was used to treat four participants who had muscular dys function in various regions of their bodies in our case study. Before and after the therapy, EMG signals at the damaged regions were recorded. The ffndings revealed that the therapy had no immediate conceivable impact on the patients, since the levels of muscular contraction before and after the treatment were comparable. When the EMG signals were measured 30 minutes after the therapy, signs of muscular alleviation were found. This shows that acupuncture does supply patients with beneffcial medicine, although slowly. The act of placing the highly conducting needles into the acupuncture sites, we believe, is similar to connecting a parallel wire to a circuit, resulting in a short-circuited route at the meridian. It permits the meridian{\textquoteright}s polarized inner energy, or qi, to pass through. The equilibrium in qi regulation can therefore be restored by unclogging the ow of qi.The repair process is relatively slow, and the treatment impact may not be immediately apparent, because the constitutive qualities at the acupuncture points where the needles are pricked may not alter quickly. {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.},
	keywords = {Acupuncture, Analog-to-digital, Arduino, Case-studies, Damaged region, Data acquisition, Digital transformation, Electromyographic signal, Electromyography, Electromyography signals, Full waves, Metadata, Needles, Signal processing, Signal-processing, Therapeutic techniques, Timing circuits},
	doi = {10.46300/9106.2021.15.169},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120937321\&doi=10.46300\%2f9106.2021.15.169\&partnerID=40\&md5=3e2167416a17d787084cf65ecb01bc02},
	author = {Sabri, Y. and Lamzabi, S. and Siham, A. and Maizate, A.}
}
@article {Sabri20214132,
	title = {Blocking control and dynamic exchange buffer switching new approach for mobile wireless sensor networks},
	journal = {Journal of Theoretical and Applied Information Technology},
	volume = {99},
	number = {16},
	year = {2021},
	note = {cited By 0},
	pages = {4132-4140},
	abstract = {Mobile sensor nodes are usually positioned in low battery power unattended surroundings. Wireless hypermedia sensor-based networks have a huge capacity and a continual flow of data from source to sink. The congestion emerges when the input amount exceeds the number of resources available. The effect of congestion is packet loss, buffer overflow, and waste of power, as well as increasing delays from end to end. The suggested dynamic alternating buffer technique for switching and management of the congestion, using the residual buffer, residual energy and sensor-mobile node confidence level, is applied to effectively control the congestion. The system is based on a cost-effectiveness analysis which calculates main and replacement buffers on time. The dynamic buffer shift is possible by this approach and the congest impact is optimized. The BETCC performance is compared to that of other current protocols such as TCEER and TFCC with respect to energy usage and data loss ratios. {\textcopyright} 2021 Little Lion Scientific.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114438577\&partnerID=40\&md5=aa4c26dbcb5803178c55233ce647be05},
	author = {Sabri, Y. and Siham, A. and Maizate, A.}
}
@article {Sabri2021888,
	title = {Cloud Computing in Remote Sensing: Big Data Remote Sensing Knowledge Discovery and Information Analysis},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {12},
	number = {5},
	year = {2021},
	note = {cited By 1},
	pages = {888-895},
	abstract = {With the rapid development of remote sensing technology, our ability to obtain remote sensing data has been improved to an unprecedented level. We have entered an era of big data. Remote sensing data clear showing the characteristics of Big Data such as hyper spectral, high spatial resolution, and high time resolution, thus, resulting in a significant increase in the volume, variety, velocity and veracity of data. This paper proposes a feature supporting, salable, and efficient data cube for time-series analysis application, and used the spatial feature data and remote sensing data for comparative study of the water cover and vegetation change.The spatial-feature remote sensing data cube (SRSDC) is described in this paper. It is a data cube whose goal is to provide a spatial-feature-supported, efficient, and scalable multidimensional data analysis system to handle largescale RS data. It provides a high-level architectural overview of the SRSDC.The SRSDC offers spatial feature repositories for storing and managing vector feature data, as well as feature translation for converting spatial feature information to query operations.The paper describes the design and implementation of a feature data cube and distributed execution engine in the SRSDC. It uses the long time-series remote sensing production process and analysis as examples to evaluate the performance of a feature data cube and distributed execution engine. Big data has become a strategic highland in the knowledge economy as a new strategic resource for humans. The core knowledge discovery methods include supervised learning methods data analysis supervised learning, unsupervised learning methods data analysis unsupervised learning, and their combinations and variants. {\textcopyright} 2021. All Rights Reserved.},
	keywords = {Big data, Cloud computing, Cloud-computing, Data cube, Data distributed, Data integration, Data mining, Engines, Execution engine, Feature data, Geometry, Methods. Data analysis, Remote sensing, Remote sensing data, Remote sensing technology, Remote-sensing, Spatial features, Supervised learning, Time series analysis, Unsupervised learning},
	doi = {10.14569/IJACSA.2021.01205104},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107802131\&doi=10.14569\%2fIJACSA.2021.01205104\&partnerID=40\&md5=4251cd5707097684639ead5c44f44bec},
	author = {Sabri, Y. and Bahja, F. and Siham, A. and Maizate, A.}
}
@article {Sabri2021708,
	title = {Internet of Things (IoT) based Smart Vehicle Security and Safety System},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {12},
	number = {4},
	year = {2021},
	note = {cited By 5},
	pages = {708-714},
	abstract = {The Internet of Things (IoT) is making human life easy in all aspects. The applications it offers are beyond comprehension. IoT is an abstract idea, a notion which interconnects all devices, tools, and gadgets over the Internet to enable these devices to communicate with one another. IoT finds application in various areas, such as intelligent cars and their safety, security, navigation, and efficient fuel consumption. This project puts forth a solution to achieve the desired outcome of saving precious human lives that are lost to road crashes. In this context, we propose to develop a system, we are designing and deploying a system that not only avoids accidents but also to take action accordingly. This research aims at dealing with the issues that cause fatal crashes and also integrates measures to ensure safety. Life without transportation is impossible to imagine; it makes far off places easy to reach and greatly reduces the travel time. But the problems which surface due to the ever-increasing number of vehicles on the road cannot be ignored. The project aims to eradicate a few of the major reasons of car crashes and also aims to integrate post-crash measures. {\textcopyright} 2021. All Rights Reserved.},
	keywords = {Accidents, Human lives, Intelligent cars, Internet of thing, Internet of things, Road crash, Roads and streets, Safety system, Security systems, Smart vehicle security, Smart vehicles, Travel time, Vehicle safety systems, Vehicle security, Vehicle security systems, Vehicles},
	doi = {10.14569/IJACSA.2021.0120487},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105821283\&doi=10.14569\%2fIJACSA.2021.0120487\&partnerID=40\&md5=189019e4527257ddbc9f3942fc925425},
	author = {Sabri, Y. and Siham, A. and Maizate, A.}
}
