Association for Intelligent Transport Systems

The field of emotion recognition by physiological signal analysis is the subject of the proposed study. Its primary objective is to evaluate how effectively various classifiers predict two important emotional variables: valence and arousal. Three distinct classifiers are used in the study: kELM (Kernel Extreme Learning Machine), nELM (Neural Extreme Learning Machine), and sSOM (Simplified Self-Organising Map) in order to give a comprehensive comparison analysis. The script contributes to the advancement of emotion perception by carefully contrasting the capabilities of multiple classifiers. By using the dataset, the research hopes to clarify the benefits and drawbacks of each classifier and contribute to the development of more dependable and precise emotion identification algorithms. The suggested study focuses on the area of physiological signal processing for emotion identification. Its main goal is to assess how well different classifiers perform in predicting valence and arousal, two crucial emotional variables.

This project's primary goal is to reduce power losses and improve voltage profiles in power networks by strategically using unified power flow controllers, or UPFCs. The optimization process is enhanced by the combination of Fuzzy Logic and Archimedes Optimization Algorithm (AOA) techniques. The current injection model has been used to optimize the sizing of the Unified Power Flow Controller (UPFC) by the application of the Archimedes optimization method. The suggested approach demonstrates how simple it is to manipulate ideal power flow assessments. Fuzzy systems are used to compute the voltages and power loss at the best places. This paper is a demonstration of how to reduce power loss and enhance voltage under different load scenarios, such as light load, normal load, and overloading cases. It also shows how to apply UPFC to improve system performance on IEE-14 and IEE-30 bus systems.

Breathing Rate is a vital biological characteristic that needs to be assessed in a variety of therapeutic scenarios. It is still routinely monitored in a manual fashion. Consequently, a unique methodology for estimating the BR from a PPG- Pho-toplethysmogram, ECG- electrocardiogram, or blood pressure (BP) signal is presented in this research. To extract respiration-orientated signals, the system employs DWT- Discrete Wavelet Transform as well as EMD- Empirical Mode Decomposition algorithms, utilizing both the frequency as well as time domain data. Our approach was able to obtain satisfactory efficiency even during severely distorted portions of the signals by integrating an SQI- Signal Quality Index as well as an RKF - Robust Kalman Filter. The resultant signals are merged via the fusion of the state vector, and the BR is then calculated. The methodology was evaluated on 2 general people-accessible healthcare datasets, namely, the BIDMC as well as the MIT-BIH Polysomnographic datasets. The MAPE- Mean Absolute Percentage Error was used to assess performance. The outcomes also showed that the system was resilient to noise which is almost OdB. As a result, this system may be useful for BR surveillance in raised noise environments.

Abstract Because of its relatively high and license-free bandwidth, great security, and low cost, visible light communication (VLC) is a strong competitor for vehicle VLC (V2LC). Its durability, high spectral efficiency, and ability to deal with inter-symbol interference make it an excellent choice for autonomous and connected vehicle applications that demand high data rate transmission (ISI). VLC systems can benefit from high-rate communication by reducing pilot overhead in standard pilot-based CE methods. However, this comes at the expense of greater complexity and decreased CE accuracy, which are both undesirable outcomes. Techniques for blind medium estimation (CE) for OFDM systems are discussed in the radio-frequency (RF) literature. There has been no work done in the VLC literature, however, on blind CE for OFDM systems. In order to improve CE accuracy for V2LC, we propose a new blind CE technique based on real-time data-based medium characteristics that is applicable to V2LC. The normalized medium frequency response (CFR) of V2LC broadcasts has been found to be unaffected by inter-vehicle distance, relative transmitter/receiver (Z) zenith angles, or even ambient light, according to real-world data collected from real cars to vehicles. As an alternative to estimating the normalization factor at each subcarrier individually, this medium characteristic is used to estimate the normalization factor for calculating the normalization factor in the blind CE. After running a large number of simulations at a variety of vehicle speeds, it was discovered that the suggested strategy beats pilot-based CE systems in terms of average throughput and bit error rate for all modulation schemes (BER). Moreover, for the realistic vehicle mobility scenario chosen from the Simulation of Urban Mobility, the real-time performance of the proposed blind CE is proven to be very close to the maximum throughput of each modulation scheme at high signal-to-noise ratio (SNR) levels (SUMO).KeywordsVehicular communicationVisible light communicationBlind medium estimationOFDMSimulation of urban mobility (SUMO)

Toni Morrison is the most well-known sophisticated novelist in the history of African American literature. She has been recognised as a strident voice for exploited black people as well as master craftsman of the dominant artistic form. The Bluest Eye is a tragic tale about a young, black girl Pecola and her desire for the bluest eyes, the symbol for her of what it means to be beautiful and therefore worthy in society. It clarifies the damaging impacts of white standards and the importance on the lives of black people. It represents very sad feeling in terms of tragic conditions of blacks in racist America. She investigates the devastating effects of the beauty standards of the dominant culture of the self-image of the African female adolescent. Exploring the complexity of black female experience in white America, Toni Morrison attempts to resolve the contradiction inherent in her African American identity as a black women writer. In the novel The Bluest Eye it shows the terrible consequences for black internalising the values of a white culture that both directly & indirectly rejects them. A close study of the interrelationship of race, gender, and class in the novels of Toni Morrison reveals the emergence of a revolutionary pattern. This paper attempts to find out the trial of the blacks women in search of self-identity in the novel of Toni Morrison.

ABSTRACT This paper addresses machines, automated guided vehicles (AGVs), tool transporter (TT) and tools simultaneous scheduling in a multi-machine flexible manufacturing system (FMS) to minimize makespan (MSN). The transfer times of tools and jobs are considered. Only one copy of each type of tool is made available due to economic restrictions. The tools are stored in a central tool magazine (CTM) that shares with and serves for several machines. Jobs and tools between machines are transferred by AGVs and TT, respectively. This simultaneous scheduling problem is highly complex in nature as it involves job-operations sequencing on machines, assigning AGVs and tools to job-operations and associated trip operations including the times of empty trip and loaded trip of both AGVs and TT. This paper presents nonlinear-mixed integer programming (MIP) formulation to model and symbiotic organisms search (SOS) algorithm based on the symbiotic interaction strategies that organisms use to survive in the ecosystem to solve this simultaneous scheduling problem. The results have been tabulated and analyzed. An industrial problem in a manufacturing company is used for verification and the result obtained by SOS algorithm is compared with other algorithm.

Congenital malformation is caused by a genetic factor or by prenatal events that are not genetic that causes physical or mental disability. There are different types of congenital malformation like heart defects, cleft lip and cleft palate, congenital deformity in ear or nose, down syndrome, etc. Some of them are possible to be rectified with different surgical procedures by placing implants in the body, prosthesis, bone substitutes (scaffold), etc. Out of different types of birth defects, the major problems faced by the human beings are congenital ear or nose defect. In the development of new nose or ear tissue, bone scaffold provides better physical properties compared to other alternate methods. The main objective is to develop nose or ear scaffold with improved elastic properties using melt pneumatic extrusion process. This advanced technology can be used to develop complex anatomical models.

This paper studies the comprehensive modeling of a micro grid network of an automatic centralized micro-grid controller (ACMC) based hybrid AC/ low voltage DC (LVDC),able to operate the device on-grid and off-grid with operation of a Fuzzy logic controller. There are separate feeders with loads attached at varying voltages in the LVDC and AC networks. Using a bidirectional AC–DC–AC converter, we can associate very broad AC and LVDC networks to control active (P) and reactive power (Q) from sources dependent on LVDC network’s load prerequisite and controlling of voltage. The proposed ACMC was implemented on a test system outfitted with a bidirectional converter including LVDC and AC networks with radial distribution. This gives a play and plug feature to the system. A double fed induction generator based wind energy converter and solar PV cluster with maximum tracking of the power factor were used as sources. In MATLAB simulink the system was simulated. The outcomes demonstration the ACMC effectively plays out the 4 quadrant of P,Q in the gadget for different conditions.