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Mr. Vaseem Akram Shaik
Lovely Professional University Punjab India

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Research Keywords & Expertise

0 Waste Management
0 embedded system
0 Blockchain
0 IoT
0 IoT (Internet of Things) / CPS (Cyber Physical Systems)

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Journal article
Published: 28 July 2021 in Sustainability
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Water being one of the foremost needs for human survival, conservation, and management of the resource must be given ultimate significance. Water demand has increased tremendously all over the world from the past decade due to urbanization, climatic change, and ineffective management of water. The advancement in sensor and wireless communication technology encourages implementing the IoT in a wide range. In this study, an IoT-based architecture is proposed and implemented for monitoring the level and quality of water in a domestic water tank with customized hardware based on 2.4 GHz radiofrequency (RF) communication. Moreover, the ESP 8266 Wi-Fi module-based upper tank monitoring of the proposed architecture encourages provide real-time information about the tank through internet protocol (IP). The customized hardware is designed and evaluated in the Proteus simulation environment. The calibration of the pH sensor and ultrasonic value is carried out for setting the actual value in the prototype for obtaining the error-free value. The customized hardware that is developed for monitoring the level and quality of water is implemented. The real-time visualization and monitoring of the water tank are realized with the cloud-enabled Virtuino app.

ACS Style

Rajesh Singh; Mohammed Baz; Anita Gehlot; Mamoon Rashid; Manpreet Khurana; Shaik Akram; Sultan Alshamrani; Ahmed AlGhamdi. Water Quality Monitoring and Management of Building Water Tank Using Industrial Internet of Things. Sustainability 2021, 13, 8452 .

AMA Style

Rajesh Singh, Mohammed Baz, Anita Gehlot, Mamoon Rashid, Manpreet Khurana, Shaik Akram, Sultan Alshamrani, Ahmed AlGhamdi. Water Quality Monitoring and Management of Building Water Tank Using Industrial Internet of Things. Sustainability. 2021; 13 (15):8452.

Chicago/Turabian Style

Rajesh Singh; Mohammed Baz; Anita Gehlot; Mamoon Rashid; Manpreet Khurana; Shaik Akram; Sultan Alshamrani; Ahmed AlGhamdi. 2021. "Water Quality Monitoring and Management of Building Water Tank Using Industrial Internet of Things." Sustainability 13, no. 15: 8452.

Journal article
Published: 04 June 2021 in Sustainability
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Intelligent and resilient infrastructure is necessary for smart cities for contributing flexible and smart amenities to the citizens. Concerning the United Nations (UN) estimation, the global population residing in urban cities will reach 68% by 2050. Additionally, the Sustainable Energy Action Plans (SEAP) report suggests implementing energy efficiency technologies in smart cities to meet the rising urban population requirement. Internet of Things (IoT) technology empowers to achieve the goal of energy efficiency by integrating sensors, wireless technology, and renewable energy sources in the lighting system. At present, the IoT-based lighting system in urban cities is implemented with streetlamps and lampposts. In this study, we are focusing on lampposts, as it has the flexibility of establishing and implementing a multitude of applications on a single system. Due to technological advancement, the lamppost is embedded with multiple sensors, communication protocols, and energy distribution infrastructure for delivering smart and affordable amenities to the citizens residing in the smart cities. This motivates us to implement a smart lamppost that provides a multitude of applications such as smart light, digital signs, environmental monitoring conditions, electric vehicle (EV) charging port, wireless fidelity (Wi-Fi) hotspot, etc., on a single lamppost. This study proposed the IoT-assisted fog and edge-based smart lamppost for the smart cities to realize the smart infrastructure. Further, this smart lamppost is integrated with low power and long-range communication, i.e., Long Range (LoRa), enabling the smart lamppost to communicate the sensory data to a long-range. Additionally, LoRa is integrated with a Wi-Fi module for establishing the interconnection between the smart lamppost and IoT server. Generally, the proposed architecture is broad perspective; however, we have developed and implemented the hardware models of three components including lighting system, environmental parameters and image sensing in real time. Lighting system and environmental parameter monitoring are integrated on same hardware model for sensing and logging the real-time values of temperature, humidity, CO and light intensity on the IoT server. The developed image sensing prototype based on ESP 32 controller is also evaluated in real-time scenarios, and the performance of the prototype is efficient. The proposed system delivers reliable performance in terms of sensing and communicating environmental parameters and images to the IoT server. Moreover, in future, we will complete the development of other components of the smart lamppost for enhancing the smarter infrastructure in smart cities.

ACS Style

Anita Gehlot; Sultan Alshamrani; Rajesh Singh; Mamoon Rashid; Shaik Akram; Ahmed AlGhamdi; Fahad Albogamy. Internet of Things and Long-Range-Based Smart Lampposts for Illuminating Smart Cities. Sustainability 2021, 13, 6398 .

AMA Style

Anita Gehlot, Sultan Alshamrani, Rajesh Singh, Mamoon Rashid, Shaik Akram, Ahmed AlGhamdi, Fahad Albogamy. Internet of Things and Long-Range-Based Smart Lampposts for Illuminating Smart Cities. Sustainability. 2021; 13 (11):6398.

Chicago/Turabian Style

Anita Gehlot; Sultan Alshamrani; Rajesh Singh; Mamoon Rashid; Shaik Akram; Ahmed AlGhamdi; Fahad Albogamy. 2021. "Internet of Things and Long-Range-Based Smart Lampposts for Illuminating Smart Cities." Sustainability 13, no. 11: 6398.

Journal article
Published: 28 May 2021 in Electronics
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Facial emotion recognition (FER) is the procedure of identifying human emotions from facial expressions. It is often difficult to identify the stress and anxiety levels of an individual through the visuals captured from computer vision. However, the technology enhancements on the Internet of Medical Things (IoMT) have yielded impressive results from gathering various forms of emotional and physical health-related data. The novel deep learning (DL) algorithms are allowing to perform application in a resource-constrained edge environment, encouraging data from IoMT devices to be processed locally at the edge. This article presents an IoMT based facial emotion detection and recognition system that has been implemented in real-time by utilizing a small, powerful, and resource-constrained device known as Raspberry-Pi with the assistance of deep convolution neural networks. For this purpose, we have conducted one empirical study on the facial emotions of human beings along with the emotional state of human beings using physiological sensors. It then proposes a model for the detection of emotions in real-time on a resource-constrained device, i.e., Raspberry-Pi, along with a co-processor, i.e., Intel Movidius NCS2. The facial emotion detection test accuracy ranged from 56% to 73% using various models, and the accuracy has become 73% performed very well with the FER 2013 dataset in comparison to the state of art results mentioned as 64% maximum. A t-test is performed for extracting the significant difference in systolic, diastolic blood pressure, and the heart rate of an individual watching three different subjects (angry, happy, and neutral).

ACS Style

Navjot Rathour; Sultan Alshamrani; Rajesh Singh; Anita Gehlot; Mamoon Rashid; Shaik Akram; Ahmed AlGhamdi. IoMT Based Facial Emotion Recognition System Using Deep Convolution Neural Networks. Electronics 2021, 10, 1289 .

AMA Style

Navjot Rathour, Sultan Alshamrani, Rajesh Singh, Anita Gehlot, Mamoon Rashid, Shaik Akram, Ahmed AlGhamdi. IoMT Based Facial Emotion Recognition System Using Deep Convolution Neural Networks. Electronics. 2021; 10 (11):1289.

Chicago/Turabian Style

Navjot Rathour; Sultan Alshamrani; Rajesh Singh; Anita Gehlot; Mamoon Rashid; Shaik Akram; Ahmed AlGhamdi. 2021. "IoMT Based Facial Emotion Recognition System Using Deep Convolution Neural Networks." Electronics 10, no. 11: 1289.

Journal article
Published: 14 April 2021 in Sensors
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Long-range radio (LoRa) communication is a widespread communication protocol that offers long range transmission and low data rates with minimum power consumption. In the context of solid waste management, only a low amount of data needs to be sent to the remote server. With this advantage, we proposed architecture for designing and developing a customized sensor node and gateway based on LoRa technology for realizing the filling level of the bins with minimal energy consumption. We evaluated the energy consumption of the proposed architecture by simulating it on the Framework for LoRa (FLoRa) simulation by varying distinct fundamental parameters of LoRa communication. This paper also provides the distinct evaluation metrics of the the long-range data rate, time on-air (ToA), LoRa sensitivity, link budget, and battery life of sensor node. Finally, the paper concludes with a real-time experimental setup, where we can receive the sensor data on the cloud server with a customized sensor node and gateway.

ACS Style

Shaik Akram; Rajesh Singh; Mohammed AlZain; Anita Gehlot; Mamoon Rashid; Osama Faragallah; Walid El-Shafai; Deepak Prashar. Performance Analysis of IoT and Long-Range Radio-Based Sensor Node and Gateway Architecture for Solid Waste Management. Sensors 2021, 21, 2774 .

AMA Style

Shaik Akram, Rajesh Singh, Mohammed AlZain, Anita Gehlot, Mamoon Rashid, Osama Faragallah, Walid El-Shafai, Deepak Prashar. Performance Analysis of IoT and Long-Range Radio-Based Sensor Node and Gateway Architecture for Solid Waste Management. Sensors. 2021; 21 (8):2774.

Chicago/Turabian Style

Shaik Akram; Rajesh Singh; Mohammed AlZain; Anita Gehlot; Mamoon Rashid; Osama Faragallah; Walid El-Shafai; Deepak Prashar. 2021. "Performance Analysis of IoT and Long-Range Radio-Based Sensor Node and Gateway Architecture for Solid Waste Management." Sensors 21, no. 8: 2774.

Survey paper
Published: 15 April 2020 in Security and Privacy
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Our society is becoming “smarter” and more interconnected, as evidenced by technological trends such as smart farming, smart healthcare, supply chain and logistics, and smart city and nation. Security and privacy are two major key considerations in these smart applications, such as blockchain‐based security solutions for Industry 4.0‐based applications (the focus of this study). In this study, we present a systematic review of existing blockchain‐based solutions, particularly for Industry 4.0‐based applications. We present the merits and demerits of various state‐of‐the‐art approaches. We also highlight the challenges of the blockchain with the scope of interoperability and governance so that this gives a clear understanding to researchers and professionals.

ACS Style

Shaik V. Akram; Praveen K. Malik; Rajesh Singh; Gehlot Anita; Sudeep Tanwar. Adoption of blockchain technology in various realms: Opportunities and challenges. Security and Privacy 2020, 3, 1 .

AMA Style

Shaik V. Akram, Praveen K. Malik, Rajesh Singh, Gehlot Anita, Sudeep Tanwar. Adoption of blockchain technology in various realms: Opportunities and challenges. Security and Privacy. 2020; 3 (5):1.

Chicago/Turabian Style

Shaik V. Akram; Praveen K. Malik; Rajesh Singh; Gehlot Anita; Sudeep Tanwar. 2020. "Adoption of blockchain technology in various realms: Opportunities and challenges." Security and Privacy 3, no. 5: 1.