A 4K-Capable FPGA Implementation of Single Image Haze Removal Using Hazy Particle Maps

This paper presents a fast and compact hardware implementation using an efficient haze removal algorithm. The algorithm employs a modified hybrid median filter to estimate the hazy particle map, which is subsequently subtracted from the hazy image to recover the haze-free image. Adaptive tone remapping is also used to improve the narrow dynamic range due to haze removal. The computation error of the proposed hardware architecture is minimized compared with the floating-point algorithm. To ensure real-time hardware operation, the proposed architecture utilizes the modified hybrid median filter using the well-known Batcher’s parallel sort. Hardware verification confirmed that high-resolution video standards were processed in real time for haze removal.

GPVC: Graphics Pipeline-Based Visibility Classification for Texture Reconstruction

The shadow-mapping and ray-tracing algorithms are the two popular approaches used in visibility handling for multi-view based texture reconstruction. Visibility testing based on the two algorithms needs a user-defined bias to reduce computation error. However, a constant bias does not work for every part of a geometry. Therefore, the accuracy of the two algorithms is limited. In this paper, we propose a high-precision graphics pipeline-based visibility classification (GPVC) method without introducing a bias. The method consists of two stages. In the first stage, a shader-based rendering is designed in the fixed graphics pipeline to generate initial visibility maps (IVMs). In the second stage, two algorithms, namely, lazy-projection coverage correction (LPCC) and hierarchical iterative vertex-edge-region sampling (HIVERS), are proposed to classify visible primitives into fully visible or partially visible primitives. The proposed method can be easily implemented in the graphics pipeline to achieve parallel acceleration. With respect to efficiency, the proposed method outperforms the bias-based methods. With respect to accuracy, the proposed method can theoretically reach a value of 100%. Compared with available libraries and software, the textured model based on our method is smoother with less distortion and dislocation.

VANSec: Attack-Resistant VANET Security Algorithm in Terms of Trust Computation Error and Normalized Routing Overhead

VANET is an application and subclass of MANETs, a quickly maturing, promising, and emerging technology these days. VANETs establish communication among vehicles (V2V) and roadside infrastructure (V2I). As vehicles move with high speed, hence environment and topology change with time. There is no optimum routing protocol which ensures full-pledge on-time delivery of data to destination nodes, and an absolutely optimum scheme design for flawless packet exchange is still a challenging task. In VANETs, accurate and on-time delivery of fundamental safety alert messages (FSAMs) is highly important to withstand against maliciously inserted security threats affectively. In this paper, we have presented a new security-aware routing technique called VANSec. The presented scheme is more immune and resistive against different kinds of attacks and thwarts malicious node penetration attempts to the entire network. It is basically based on trust management approach. The aim of the scheme is to identify malicious data and false nodes. The simulation results of VANSec are compared with already existing techniques called trust and LT in terms of trust computation error (TCE), end-to-end delay (EED), average link duration (ALD), and normalized routing overhead (NRO). In terms of TCE, VANSec is 11.6% and 7.3% efficient than LT and trust, respectively, while from EED comparison we found VANSec to be 57.6% more efficient than trust and 5.2% more efficient than LT. Similarly, in terms of ALD, VANSec provides 29.7% and 7.8% more stable link duration than trust and LT do, respectively, and in terms of NRO, VANSec protocol has 27.5% and 14% lesser load than that of trust and LT, respectively.

Analisis Kesalahan Siswa Kelas VIII Dalam Menyelesaikan Soal Uraian Pokok Bahasan Kubus

The purpose of the research are to find out the percentage of concept error, prosedur error, computation error, and the most dominant error in resolving the problem description of cube discussion subject VII A grade students MTs Negeri Ngablak The object of this research is student’s mistake in resolving the problem description of the set discussion subject. The type of this research is qualitative descriptive research. Data collection technique uses test technique and interview technique. Test Instrument in this research have 5 description problem test. The result of research indicate descriptively that students of MTs Negeri Ngablak undertake the average of concept error 67,77%, the average of procedure error 51,96%, and the average of computation error 28,41% with low category. The most dominant mistake type in resolving the problem which is done by VII A students MTs Negeri Ngablak is concept error.

Analisis Kesalahan Siswa Kelas VIII Dalam Menyelesaikan Soal Uraian Matematika Di MTs Negeri Ngablak

This study aims to determine the percentage of concept errors, procedural errors, computational errors, and to determine the most dominant error in solving the problem of mathematics description of students of grade VIII B MTs Negeri Ngablak Academic Year 2017/2018. The object of this study is the student's mistake in solving the problem description of the subject matter of the function. The type of this research is descriptive qualitative. Data collection techniques use test techniques and interview techniques. The test instrument is in the form of a description test of 5 questions. Of the five questions are declared valid and reliable. The result of the research shows that students of MTs Negeri Ngablak do average error of concept equal to 73,54% with high category, mean of procedural error equal to 30,08% with low category, and mean of computation error equal to 26,21% with category low. The most dominant type of error in the solution of the problems done by students of grade VIII B MTs Negeri Ngablak is a concept error with a percentage of 73.54%. Suggested to the teacher when solving the math problem must be complete and the teacher must provide instruction to the students that the importance in solving the problem to write the answers in accordance with the correct and proper procedures.

Computation Error Analysis: Students With Mathematics Difficulty Compared To Typically Achieving Students

Though proficiency with computation is highly emphasized in national mathematics standards, students with mathematics difficulty (MD) continue to struggle with computation. To learn more about the differences in computation error patterns between typically achieving students and students with MD, we assessed 478 third-grade students on a measure of mathematics computation. Results indicated that using the wrong operation was the most common identifiable error for all students. Students with MD had similar accuracy rates for item categories (e.g., addition items) compared to typically achieving students, but students with MD consistently had more variability in incorrect item responses. This study has implications for efficacious computation instruction for students in the elementary grades.