More particularly, calculations are developed and examined to reduce the entire quantity of Wireless access points as well as their locations in almost any given atmosphere while with the throughput needs and the necessity to ensure every place in the area can achieve a minimum of k APs. This paper concentrates on using Wireless for interacting with and localizing the robot. We've carried out thorough studies of Wireless signal propagation qualities both in indoor and outside conditions, which forms the foundation for Wireless AP deployment and communication to be able to augment how human operators communicate with this atmosphere, a mobile automatic platform is developed. Gas and oil refineries could be a harmful atmosphere for various reasons, including heat, toxic gasses, and unpredicted catastrophic failures. When multiple Wireless APs are close together, there's a possible for interference. A graph-coloring heuristic can be used to find out AP funnel allocation. Additionally, Wireless fingerprinting based localization is developed. All of the calculations implemented are examined in real life situations using the robot developed and answers are promising. For example, within the gas and oil industry, during inspection, maintenance, or repair of facilities inside a refinery, people might be uncovered to seriously high temps to have a long time, to toxic gasses including methane and H2S, and also to unpredicted catastrophic failures.

/pdf/internet-of-vehicles-from-intelligent-grid-to-autonomous-pma0tn3ofd.pdf

Internet of Vehicles: From Intelligent Grid to Autonomous Cars and Vehicular Clouds

A system, method and apparatus for executing a sequence analysis pipeline on genetic sequence data includes a structured ASIC formed of a set of hardwired digital logic circuits that are interconnected by physical electrical interconnects One of the physical electrical interconnects forms an input to the structured ASIC connected with an electronic data source for receiving reads of genomic data The hardwired digital logic circuits are arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired digital logic circuits to perform one or more steps in the sequence analysis pipeline on the reads of genomic data Each subset of the hardwired digital logic circuits is formed in a wired configuration to perform the one or more steps in the sequence analysis pipeline

Bioinformatics systems, apparatuses, and methods executed on an integrated circuit processing platform

Speech emotion recognition (SER) is becoming the main human&#x2013;computer interaction logic for autonomous vehicles in the next generation of intelligent transportation systems (ITSs). It can improve not only the safety of autonomous vehicles but also the personalized in-vehicle experience. However, current vehicle-mounted SER systems still suffer from two major shortcomings. One is the insufficient service capacity of the vehicle communication network, which is unable to meet the SER needs of autonomous vehicles in next-generation ITSs in terms of the data transmission rate, power consumption, and latency. Second, the accuracy of SER is poor, and it cannot provide sufficient interactivity and personalization between users and vehicles. To address these issues, we propose an SER-enhanced traffic efficiency solution for autonomous vehicles in a 5G-enabled space&#x2013;air&#x2013;ground integrated network (SAGIN)-based ITS. First, we convert the vehicle speech information data into spectrograms and input them into an AlexNet network model to obtain the high-level features of the vehicle speech acoustic model. At the same time, we convert the vehicle speech information data into text information and input it into the Bidirectional Encoder Representations from Transformers (BERT) model to obtain the high-level features of the corresponding text model. Finally, these two sets of high-level features are cascaded together to obtain fused features, which are sent to a softmax classifier for emotion matching and classification. Experiments show that the proposed solution can improve not only the SAGIN&#x2019;s service capabilities, resulting in a large capacity, high bandwidth, ultralow latency, and high reliability, but also the accuracy of vehicle SER as well as the performance, practicality, and user experience of the ITS 

Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space–Air–Ground Integrated Intelligent Transportation System

http://romisatriawahono.net/lecture/rm/survey/softcomputing/Nouaouria%20-%20Particle%20Swarm%20Clasification%20-%202013.pdf

Particle swarm classification: A survey and positioning

A system, method and apparatus for executing a bioinformatics analysis on genetic sequence data is provided. Particularly, a genomics analysis platform for executing a sequence analysis pipeline is provided. The genomics analysis platform includes one or more of a first integrated circuit, where each first integrated circuit forms a central processing unit (CPU) that is responsive to one or more software algorithms that are configured to instruct the CPU to perform a first set of genomic processing steps of the sequence analysis pipeline. Additionally, a second integrated circuit is also provided, where each second integrated circuit forming a field programmable gate array (FPGA), the FPGA being configured by firmware to arrange a set of hardwired digital logic circuits that are interconnected by a plurality of physical interconnects to perform a second set of genomic processing steps of the sequence analysis pipeline, the set of hardwired digital logic circuits of each FPGA being arranged as a set of processing engines to perform the second set of genomic processing steps. A shared memory is also provided.

Bioinformatics systems, apparatuses, and methods for performing secondary and/or tertiary processing

This paper presents the development of high performance accelerating technique for DNA sequences alignment. The scope of the paper focuses on speed optimization and memory reduction of the existing technique on initialization module. The novel development of the optimization using data compression technique for accelerates the Smith-Waterman (SW) algorithm has been revealed through this paper. This technique has been implemented on hardware based acceleration device. The development is targeted to Altera Cyclone II 2C70 FPGA and using 50MHz oscillator. The code is written in verilog HDL syntax using Quartus 2 version 7.2 and the simulation is verified using Quartus 2 version 7.2 simulator tool. The theoretical analysis and simulation result based on implementation of the design using FPGA are presented and well organized in this paper. The comparative study based on theoretical and simulation results of this technique has been made to accomplish result of analysis. The compilation result for data compression technique development of SW algorithm consisting of 73 logic elements with 93.75% reduction in memory space requirement.

Development of Novel Data Compression Technique for Accelerate DNA Sequence Alignment Based on SmithWaterman Algorithm

In this paper, a new approach is introduced to reduce the complexity of the Smith Waterman algorithm for FPGA implementation. We have developed the technique for the fastest comparison of the two DNA sequencing using Verilog on the Xilinx ISE 7.1. The Simulation has been running on the ModelSim XE III 6.0. The combinational delay for the proposed smith waterman algorithm based on divide and conquers technique sequencing is 10.214 ns while the original is 10.295 ns. We have proved that smith waterman algorithm based on divide and conquers technique gives better performance than existing technique.

Development of DNA sequencing accelerator based on Smith Waterman algorithm with heuristic divide and conquer technique for FPGA implementation

Designers often need to choose the gate sizes for logic circuit designs to estimate the delay of the circuit. Simulation and timing analysis are poor tools for this task because they cannot be modified for better results. Hence, the method of Logical Effort (LE) provides a simple method to overcome these design problems. We apply a novel Discrete Particle Swarm Optimization algorithm (DPSO) to solve the LE problem for electronic circuits. The method uses the rescaling function commonly used to scale datasets in neural networks to convert continuous-valued PSO values into discrete values. The proposed algorithm was successfully applied on a three-stage NAND gate circuit, and has been shown to work well, with 100% accuracy in all test runs.

Logical Effort using a Novel Discrete Particle Swarm Optimization algorithm

This paper presents the development of High Speed DNA sequencing accelerator based on Smith-Waterman algorithm using FPGA. The scope of the paper focuses on speed optimization with parallelism. Smith-Waterman algorithm is sensitive algorithm used for procedure of DNA sequence alignments in computational molecular biology. As the number of sequence database increase exponentially, it affects the performance of Smith-Waterman algorithm in general purpose computer. Therefore, several techniques have been developed in order to speed up the crucial sequence comparison processes. Hence, optimization technique which used parallelism approach has been utilized. Moreover, the technique, which was previously used in cluster computing, has been exploited and implemented on FPGA technology. The potential of FPGA's implementation is vast in term of cost reduction, faster speed and parallelism. The design has been described using Verilog HDL and target to Altera Cyclone II 2C70. In this paper we introduce the new technique of DNA sequencing algorithm with 10 based pair DNA sequences been aligned at single clock cycle. The result of compilation consisting of 821 logic elements with total cell delay 10.472 ns and total interconnect delays 17.592 ns.

High speed DNA sequencing accelerator using FPGA

Nowadays, the increasing level of carbon monoxide globally has become a serious environmental issue which has been highlighted in most of the country globally. The monitoring of carbon monoxide content is one of the approaches to identify the level of carbon monoxide pollution towards providing the solution for control the level of carbon monoxide produced. Thus, this paper proposed a mobile carbon monoxide monitoring system for measuring the carbon monoxide content based on Arduino-Matlab General User Interface (GUI). The objective of this project is to design, develop and implement the real-time mobile carbon monoxide sensor system and interfacing for measuring the level of carbon monoxide contamination in real environment. Four phases or stages of work have been carried out for the accomplishment of the project, which classified as sensor development, controlling and integrating sensor, data collection and data analysis. As a result, a complete design and developed system has been verified with the handheld industrial standard carbon monoxide sensor for calibrating the sensor sensitivity and measurement in the laboratory. Moreover, the system has been tested in real environments by measuring the level of carbon monoxide in three different lands used location; industrial area; residential area and main road (commercial area). In this real environment test, the industrial area recorded the highest reading with 71.23 ppm and 82.59 ppm for sensor 1 and sensor 2 respectively. As a conclusion, the mobile realtime carbon monoxide system based on the Arduino-Matlab is the best approach to measure the carbon monoxide concentration in different land-used since it does not require a manual data collection and reduce the complexity of the existing carbon monoxide level concentration measurement practise at the same time with a complete data analysis facilities.

https://iopscience.iop.org/article/10.1088/1757-899X/99/1/012009/pdf

Abdul Karimi Halim

Papers

Development of Novel Data Compression Technique for Accelerate DNA Sequence Alignment Based on SmithWaterman Algorithm

Development of DNA sequencing accelerator based on Smith Waterman algorithm with heuristic divide and conquer technique for FPGA implementation

Logical Effort using a Novel Discrete Particle Swarm Optimization algorithm

High speed DNA sequencing accelerator using FPGA

Mobile Carbon Monoxide Monitoring System Based on Arduino-Matlab for Environmental Monitoring Application