Volume 12, Issue 6, December 2021

Human Emotions Classification Using Spectral Topography and Convolution Neural Network

Ali Farooq and M.J. Arshad

Computer Science and Engineering Department, UET, Lahore

Abstract- Emotional state of a Human in real-time scenarios can be recognized by analyzing the Electroencephalography (EEG) signals. Human Emotion classification is a hot research topic of these days. From many decades efforts are being made in the field of brain computer interaction (BCI). This paper describes a way to use data obtained from EEG device to predict the current emotional state of person. We convert EEG time series signals into spectral topographic images after converting it into frequency domain. After that we implemented Convolution Neural Network (CNN) to classify these topographies. CNN was able to accomplish task giving about 98.12% accuracy. The study demonstrated that the matrices of spectral topographies carries important information about the emotional states, and the CNN model can extract the distinguishing features to differentiate the emotional states.

Keywords- Electroencephalography (EEG), Convolution Neural Network (CNN), Signals, Classification, Features, Human Emotions and Spectral Topography

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Tailoring the IV Characteristics and Quantum Capacitance of Single Layer Graphene; A First Principle Study

Muhammad Suhail, Muhammad Rafique, Irfan Ahmed, Rasool Akhtar

Mehran University of Engineering and Technology, SZAB Campus, Khairpur Mir’s, Sindh, Pakistan

Abstract- This paper illustrates about electron transmission behaviour / IV characteristics and Quantum capacitance of Single Layer Graphene (SLG) in pure form and defective graphene through doping with Oxygen (O) through Density Functional Tight Binding Plus method. As pure graphene has a zero-band gap, so doping has been done to see the impact on band gap, IV characteristics and Quantum Capacitance of single layer graphene. Then impact of doping has been analysed and compared by varying the concentration of O atoms from 3.125% to 9.37%. The calculated results were compared with pure single layer graphene. Upon doping with O in pure graphene, sufficient band gap appears at Dirac point and the values of IV characteristics and Quantum Capacitance of graphene are enhanced. So making the graphene to be a good semiconductor that can be used as supercapacitor, batteries and storage applications. Moreover, the IV characteristics and Quantum Capacitance values are directly proportional to concentration of impurity in O atoms present in graphene layer. Upon analysing electronic properties of defected graphene layer, it was observed that refractive index of graphene layer was completely changed. As Monolayer graphene termed as a magic bullet for materials engineering suffers zero band gap dilemma, thus making it difficult to be used for real engineering applications. One of major application which has risen in the current decade is its use as super capacitor device. However, quantum capacitance of graphene material varies significantly with a step change in supply voltage. In order to design super capacitor based on graphene material, it becomes imperative to modify the quantum capacitance and electron transmission behaviour of graphene through chemical doping process. Thus appears the need of this study, which is focused on tailoring quantum electrical behaviours at low voltage range.

Keywords- Single Layer Graphene (SLG), IV Characteristics, Quantum Capacitance and Electron Transmission

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Internet of Things in Industry: its Applications, Security Issues and Future Trends

Lea Yue, Kung Yi

Department of Computer Science and Information Technology (CS&IT), Korea

Abstract- This research focuses on industrial IoT’s applications, security challenges and highlights the future research opportunities regarding the use of IoT in industries. As, a number of industrial IoT applications have been developed and deployed in the last ten years, the Internet of Things (IoT) has provided a promising opportunity to build a powerful industrial tools & applications by fulfilling the demands of the growing industrial systems through IoT technologies such as sensor devices, wireless communication, networking, and information processing. In this research work, a comprehensive survey is presented to understand the current development of IoT in industries, security challenges in future key enabling IoT technologies and major IoT applications deployment in industries and their standards.

Keywords- Wireless Sensor Networks (WSNs), Information and Communication Technology (ICT), Internet of Things (IoT), Industrial System, Cloud Computing, Radio Frequency Identification (RFID) and Challenges

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Keywords- Grain Straw Ratio, Modify, Performance and Threshing

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