Spectral Emission Mask Shaping for OFDM in Cognitive Radios

Orthogonal frequency division multiplexing (OFDM) is characterized by spectral efficiency. It enables flexible and agile spectrum allocation. But still it lags as it suffers from spectral leakage in the form of large side lobes. It leads to inter-channel interference if not handled carefully.in proposed system spectral emission mask system is implemented to combat spectral leakage and ultimately avoiding adjacent channel interference. A spectral mask, also known as a channel mask or transmission mask is a mathematically-defined set of lines applied to the levels of radio (or optical) transmissions. The spectral mask is generally intended to reduce adjacent-channel interference by limiting excessive radiation at frequencies beyond the necessary bandwidth. The proposed system is implemented over MATLAB platform using script language.

Coulped neutronics/thermal-hydraulics calculation of VVER-1000 fuel assembly

This paper presents a computational scheme using MCNP5 and COBRA-EN for coupling neutronics/thermal hydraulics calculation of a VVER-1000 fuel assembly. A master program was written using the PERL script language to build the corresponding inputs for the MCNP5 and COBRA-EN calculations and to manage the coupling scheme. The hexagonal coolant channels have been used in the thermal hydraulics model using CORBRA-EN to simplify the coupling scheme. The results of two successive iterations were compared with an assigned convergence criterion and the loop calculation can be broken when the convergence criterion is satisfied. Numerical calculation has been performed based on a UO2fuel assembly of the VVER-1000 reactor.

Comparative Analysis of Spectral Emission Mask Shaping for OFDM

In this paper orthogonal frequency division multiplexing (OFDM) is characterized by spectral efficiency. Here we use quadrature Amplitude Modulation (QAM) it is used to improved spectral efficiency. For digital modulations designing new spectrally efficient pulse shapes. When established through an additive white Gaussian noise (AWGN) channel the pulses designed for finite period and give zero inter symbol interference. In proposed system spectral emission mask system is implemented to conflict spectral leakage and ultimately avoiding adjacent channel interference. A spectral mask also known as a transmission mask or channel mask. It is a mathematically-defined set of lines applied to the levels of radio transmissions. The spectral mask is generally proposed to reduce adjacent-channel interference by preventive excessive radiation at frequencies at 20MHz bandwidth. The proposed system is implemented over MATLAB platform using script language.

A Custom Robotic ARM in CoppeliaSim

Purpose: For robotics research, we require the robot to test our functions, Logics, algorithms, tasks, etc. Generally, we do not experiment with the practical robot. The primary issue is Practical robots are costly. The individual researcher usually cannot afford it. The second one is, the test with the real robot is risky and can damage property, human life, and itself due to bugs in the program or abnormal activity. So, it is best practice to experiment in Simulator first. When the algorithm is finalized, it can be implemented into a real robot. A researcher who starts the Robotics research, the learning curve is too long to develop a workable robot in Simulator. This paper demonstrates how we can easily create a 7 Degree of Freedom (DOF) custom robot for our research purpose. We will use the CoppeliaSim robot simulator for this purpose. It is free, opensource, and entirely GUI-based. We can create a robot without writing any code using this software. Design/Methodology/Approach: Here we describe to develop a custom robot. At first, we created a DH parameter for our robot. Then following the step-by-step procedure, the robot is created. After creating, we can attach our code on any object using LUA script language. To control the robot from external world, we can connect through TCP/IP socket communication. Establishing the communication, our robot will move depending on processed algorithm. Findings/Result: The robotic arm researcher needs robotics arm to test their forward kinematics, Inverse kinematics, statics, dynamics etc. code. Here we design our custom robots for research purpose. Originality/Value: Using CoppeliaSim, we can design custom robot for our research. Paper Type: Simulation based Research

IMPLEMENTASI SISTEM PENGENALAN WISATA BAHARI BERBASIS WEBSITE KABUPATEN MAJENE

The area of Majene Regency is dominated by waters and marine areas with many marine tourism destinations so that it is well known in several Majene regency areas but is less explored so that it is not known by some people due to the lack of information facilities, for this reason the implementation of a website in the introduction of marine tourism in Majene Regency is needed. This website application development aims to facilitate users in accessing marine tourism information in Majene Regency. An application designed and invincible with the needs of tourists in order to get information on the tourist destinations you want to visit. The design of this website is carried out using the Waterfall method, built with the Sublime Text 3 script language, PHP and Xampp 7.1 as the database, and the testing system uses a blackbox testing so as to produce a special marine tourism application that is feasible and can be accessed online.

Automatic Reverse Engineering of Script Engine Binaries for Building Script API Tracers

Script languages are designed to be easy-to-use and require low learning costs. These features provide attackers options to choose a script language for developing their malicious scripts. This diversity of choice in the attacker side unexpectedly imposes a significant cost on the preparation for analysis tools in the defense side. That is, we have to prepare for multiple script languages to analyze malicious scripts written in them. We call this unbalanced cost for script languages asymmetry problem . To solve this problem, we propose a method for automatically detecting the hook and tap points in a script engine binary that is essential for building a script Application Programming Interface (API) tracer. Our method allows us to reduce the cost of reverse engineering of a script engine binary, which is the largest portion of the development of a script API tracer, and build a script API tracer for a script language with minimum manual intervention. This advantage results in solving the asymmetry problem. The experimental results showed that our method generated the script API tracers for the three script languages popular among attackers (Visual Basic for Applications (VBA), Microsoft Visual Basic Scripting Edition (VBScript), and PowerShell). The results also demonstrated that these script API tracers successfully analyzed real-world malicious scripts.

Bivalent Writing: Hebrew and English Alphabets in Jewish English

Jewish English writing uses multiple combinations of the Hebrew and English alphabets. This paper demonstrates those uses, giving examples from rabbinic literature, Yiddish and Ladino newspapers, handwritten notes, pedagogical materials, organizations’ and restaurants’ logos, and regalia advertising sports teams, universities, and political candidates. The analysis demonstrates that hybrid combinations of Hebrew and English writing serve four functions: 1) Translanguaging: Enabling people who have access to (elements of) English and a traditionally Hebrew-script language (Yiddish, Ladino, Modern Hebrew, Textual Hebrew, Textual Jewish Aramaic) to represent both languages in the same text; 2) Symbolism: Highlighting English-speaking Jews’ Jewish and other identities simultaneously; 3) Code: Communicating coded messages to other Jews; and 4) Pedagogy: Teaching Hebrew decoding to English speakers or teaching English to readers of Yiddish or Ladino. Digraphic texts are bivalent, seen as part of multiple languages simultaneously.

Applications of virtual reality modeling language technology for COVID-19 pandemic

During COVID-19 pandemic, researchers have used innovative technologies for fast tracking the development to end this pandemic. Virtual Reality (VR) has offered an imperative role for fighting this pandemic, through audiovisual-based virtual communication. Virtual reality modeling language (VRML), as an international standard of virtual reality, has developed rapidly. VRML expanded the function of script node by introducing Java and script programs written in java script language. This paper presents a VRML method. Libraries and platoons are virtualized to meet the normal use of users. In principle, any text editing system can be used for VRML programming, but some editing systems have few related functions and are not suitable for large-scale VRML Scene Design. The VRML algorithm proposed in this paper can be applied to large buildings. The VRML algorithm proposed in this paper is compared with the traditional algorithm. The VRML algorithm proposed in this paper is superior to the traditional algorithm in the aspects of realism, interactivity, design rationality and execution speed. The practicability of the VRML algorithm is proved. It provides help for people who are inconvenient to go out during the protection period of covid-19.

Deep Extreme Learning Machine-Based Optical Character Recognition System for Nastalique Urdu-Like Script Languages

Optical character recognition systems convert printed or handwritten scripts into digital text formats like ASCII or UNICODE. Urdu-like script languages like Urdu, Punjabi and Sindhi are widely spoken languages of the world, especially in Asia. An enormous amount of printed and handwritten text of such languages exist, which needs to be converted into computer-understandable formats for knowledge extraction. In this study, extreme learning machine’s (ELM’s) most recently proposed variant called deep extreme learning machine (DELM)-based optical character recognition (OCR) system is proposed to enhance Urdu-like script language’s character recognition rate. The proposed DELM-based character recognition model is optimizing the OCR process by reducing the overhead of Pre-processing, Segmentation and Feature Extraction Layer. The proposed system evaluations accomplished 98.75% training accuracy with 1.492 × 10−3 RMSE and 98.12% testing accuracy with 1.587 × 10−3 RMSE, with six DELM hidden layers. The results show that the proposed system has attained the foremost recognition rate as compared to any previously proposed Urdu-like script language OCR system. This technique is applicable for machine-printed text and fractionally useful for handwritten text as well. This study will aid in the advancement of more accurate Urdu-like script OCR’s software systems in the future.