Volume 3

Abstract:

An ample amount of data is being daily generated on Twitter where people express their sentiment and emotions. Analyzing those sentiments using NLP (Natural Language Processing) techniques would help the individuals and organizations to scientifically process the prevailing sentiment. The growing negativity on social media has compelled the researchers to innovate a scientific method to analyze the user sentiment. This paper is using approaches of sentiment analysis by applying different methods and algorithms. Our proposed method is based on logistic regression to classify the intensities towards the emotions extracted from tweets. The dataset collected from twitter is narrowed down to twitter Pakistan tweets and then trained our model on the training dataset and later tested the model on testing dataset where different accuracies are experimented by logistic regression algorithm.

Abstract:

Cyber physical system (CPS) has become the new generation of control industry because of the rapid advancement in computers and communications. Despite the advantages, the computations and manipulations have increased because of the complex network. This creates a lot of uncertainties such as input time delay and communication time delay which cause the performance degradation of a system. This paper proposed a robust H2 controller to overcome these effects in frequency domain. An enhanced way for linear time invariant stabilization of any order transfer function with time delay is adapted. Studied method is based on stability limit computation with H2 performance index. A numerical example is provided to illustrate the efficiency of the proposed method.

Abstract:

5G mobile broadband infrastructure creates various safety concerns. We must compare 5G Mobile Wi-Fi Networking to older mobile networks (4G). We’ll start with 5G broadcaster characteristics, then 5G cellular security. We’ll look at risks and security. The latest advancements in 5G mobile network security must be discussed, including device identification, network accessibility, data encryption, protection, and intrusion prevention. The 5G Mobile Wireless Network incorporates new security measures due to IoT, mMIMO, device-to-device communications, and software defined networks (SDN). Such innovations and research characterize 5G Mobile Wireless Security. Currently, new penetration detection technologies are necessary. A brief summary of 5G safety management is provided. For example, the Internet of Things (IoT) may leverage breakthrough technology concepts to provide great digital services internationally. SDN and NFV are common solutions that use cloud technologies like Smartphone Cloud Computing. Protecting future mobile communications advances and customers is important. Also discussed are SDN and NFV as well as consumer security. Concerns about 5G network security will be addressed in this study. 5G will provide pervasive network service, improved customer mobility, and low-cost device connection (e.g., IoT). Information technology, SDN, and NFV are crucial 5G accelerators. Aside from privacy problems, these innovations represent major safety dangers. This article also addresses 5G’s data security challenges. We also discuss current and future 5G safety alternatives.

Abstract:

The objective of our study was to explore novel interactions that can be helpful in the self-assembly of polydimethyl siloxane (PDMS) macro-objects. In this approach, ionic self-assembly of polydiallyldimethylammonium chloride (PDDA) and deoxyguanosine monophosphate (dGMP) molecules were utilized for layer-by-layer (LbL) assembly with an exposed layer of dGMP. The exposed dGMP containing potential tetrahydrogen bonding groups were utilized for the macro-object assembly of PDMS in toluene and disassembly in an aprotic solvent like dimethyl sulfoxide (DMSO) through the breaking of H-bonding. The formation of layers over the surface was characterized by using atomic force microscopy (AFM). Moreover, the assembly-disassembly process was more thoroughly understood by force measurement analysis in different solvents by using a tensiometer instrument. This study will open up the gate for the utilization of further forces to assemble macro-objects by mimicking this approach.

Abstract:

In the last few decades, micro-fluidic devices have gain enormous attention due to their excellent applications in the field of bio-medical, electronics and energy. However, among various types of micro-fluidic devices, micro-mixers are gaining much attention due to their applications in drug delivery, insulin and medicine insertion. Passive micromixers without any external power can be used to reduce the viscosity of the blood in human body by inserting an anticoagulant medicine. This work analyzes various ambient parameters including velocity, temperature and pressure when an anticoagulant is inserted to the blood in human body to reduce the hyperviscosity syndrome. ANSYS fluid flow simulation is used to design two inlets, one donating the human blood and other donating the anticoagulant and an outlet with consist of the mixture of both inlet fluids. The results show that the basic parameters can largely affect the passive micromixers resulting in better mixing of the fluid owning the change in their velocity, pressure and temperature profiles.