ASPPMVSNet: A high-receptive-field multiview stereo network for dense three-dimensional reconstruction

Saleh Saeed(Saleh Saeed ),Sungjun Lee(Sungjun Lee),Yongju Cho(Yongju Cho),Unsang Park(Unsang Park) 한국전자통신연구원 2022 ETRI Journal Vol.44 No.6

The learning-based multiview stereo (MVS) methods for three-dimensional (3D) reconstruction generally use 3D volumes for depth inference. The quality of the reconstructed depth maps and the corresponding point clouds is directly influenced by the spatial resolution of the 3D volume. Consequently, these methods produce point clouds with sparse local regions because of the lack of the memory required to encode a high volume of information. Here, we apply the atrous spatial pyramid pooling (ASPP) module in MVS methods to obtain dense feature maps with multiscale, long-range, contextual information using high receptive fields. For a given 3D volume with the same spatial resolution as that in the MVS methods, the dense feature maps from the ASPP module encoded with superior information can produce dense point clouds without a high memory footprint. Furthermore, we propose a 3D loss for training the MVS networks, which improves the predicted depth values by 24.44%. The ASPP module provides state-of-the-art qualitative results by constructing relatively dense point clouds, which improves the DTU MVS dataset benchmarks by 2.25% compared with those achieved in the previous MVS methods.

Solid State Production of Polygalacturonase and Xylanase by Trichoderma Species Using Cantaloupe and Watermelon Rinds

Saleh A. Mohamed,Abdulrahman L. Al-Malki,Jalaluddin A. Khan,Saleh A. Kabli,Saleh M. Al-Garni 한국미생물학회 2013 The journal of microbiology Vol.51 No.5

Different solid state fermentation (SSF) sources were tested such as cantaloupe and watermelon rinds, orange and banana peels, for the production of polygalacturonase (PG) and xylanase (Xyl) by Trichoderma harzianum and Trichoderma virens. The maximum production of both PG and Xyl were obtained by T. harzianum and T. virnes grown on cantaloupe and watermelon rinds, respectively. Time course, moisture content, temperature, pH, supplementation with carbon and nitrogen sources were optimized to achieve the maximum production of both PG and Xyl of T. harzianum and T. virens using cantaloupe and watermelon rinds, respectively. The maximum production of PG and Xyl of T. harzianum and T. virens was recorded at 4–5 days of incubation, 50–66%moisture, temperature 28–35°C and pH 6–7. The influence of supplementary carbon and nitrogen sources was studied. For T. harzianum, lactose enhanced PG activity from 87 to 120 units/g solid, where starch and maltose enhanced Xyl activity from 40 to 55–60 units/g solid for T. virnes. Among the nitrogen sources, ammonium sulphate, ammonium nitrate,yeast extract and urea increased PG activity from 90to 110–113 units/g solid for T. harzianum. Similarly, ammonium chloride, ammonium sulphate and yeast extract increased Xyl activity from 45 to 55–70 units/g solid for T. virens.

Other approaches to bivariate ranked set sampling

Al-Saleh, Mohammad Fraiwan,Alshboul, Hadeel Mohammad The Korean Statistical Society 2018 Communications for statistical applications and me Vol.25 No.3

Ranked set sampling, as introduced by McIntyre (Australian Journal of Agriculture Research, 3, 385-390, 1952), dealt with the estimation of the mean of one population. To deal with two or more variables, different forms of bivariate and multivariate ranked set sampling were suggested. For a technique to be useful, it should be easy to implement in practice. Bivariate ranked set sampling, as introduced by Al-Saleh and Zheng (Australian & New Zealand Journal of Statistics, 44, 221-232, 2002), is not easy to implement in practice, because it requires the judgment ranking of each of the combination of the order statistics of the two characteristics. This paper investigates two modifications that make the method easier to use. The first modification is based on ranking one variable and noting the rank of the other variable for one cycle, and do the reverse for another cycle. The second approach is based on ranking of one variable and giving the second variable the same rank (Concomitant Order Statistic) for one cycle and do the reverse for the other cycle. The two procedures are investigated for an estimation of the means of some well-known distributions. It is show that the suggested approaches can be used in practice and can be more efficient than using SRS. A real data set is used to illustrate the procedure.

ESTIMATING THE CORRELATION COEFFICIENT IN A BIVARIATE NORMAL DISTRIBUTION USING MOVING EXTREME RANKED SET SAMPLING WITH A CONCOMITANT VARIABLE

AL-SALEH MOHAMMAD FRAIWAN,AL-ANANBEH AHMAD MOHAMMAD The Korean Statistical Society 2005 Journal of the Korean Statistical Society Vol.34 No.2

In this paper, we consider the estimation of the correlation coefficient in the bivariate normal distribution, based on a sample obtained using a modification of the moving extreme ranked set sampling technique (MERSS) that was introduced by Al-Saleh and Al-Hadhrami (2003a). The modification involves using a concomitant random variable. Nonparametric-type methods as well as the maximum likelihood estimation are considered under different settings. The obtained estimators are compared to their counterparts that are obtained based simple random sampling (SRS). It appears that the suggested estimators are more efficient

Estimating the Correlation Coefficient in a Bivariate Normal Distribution Using Moving Extreme Ranked Set Sampling with a Concomitant Variable

Mohammad Fraiwan AL-Saleh,Ahmad Mohammad Al-Ananbeh 한국통계학회 2005 Journal of the Korean Statistical Society Vol.34 No.2

In this paper, we consider the estimation of the correlation coefficient in the bivariate normal distribution, based on a sample obtained using a modi- fication of the moving extreme ranked set sampling technique (MERSS) that was introduced by Al-Saleh and Al-Hadhrami (2003a). The modification involves using a concomitant random variable. Nonparametric-type methods as well as the maximum likelihood estimation are considered under different settings. The obtained estimators are compared to their counterparts that are obtained based simple random sampling (SRS). It appears that the suggested estimators are more efficient

Mechanical and Thermal Characteristics of Optimized Electrospun Nylon 6,6 Nanofibers by Using Taguchi Method

Saleh S. Abdelhady,Said H. Zoalfakar,M. A. Agwa,Ashraf A. Ali 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.11

This study is an attempt to optimize the electrospinning process to produce minimum Nylon 6,6 nanofibers by using Taguchi statistical technique. Nylon 6,6 solutions were prepared in a mixture of formic acid (FA) and Dichloromethane (DCM). Design of experiment by using Taguchi statistical technique was applied to determine the most important processing parameters influence on average fiber diameter of Nylon 6,6 nanofiber produced by electrospinning process. The effects of solvent/nylon and FA/DCM ratio on average fiber diameter were investigated. Optimal electrospinning conditions were determined by using the signal-to-noise (S/N) ratio that was calculated from the electrospun Nylon 6,6 nanofibers diameters according to "the-smaller-the-better" approach. The optimum Nylon 6,6 concentration (NY%) and FA/DCM ratio were determined. The morphology of electrospun nanofibers is significantly altered by FA/DCM solvent ratio as well as Nylon 6,6 concentration. The smallest diameter and the narrowest diameter distribution of Nylon 6,6 nanofibers (166 ffi 33 nm) were obtained for 10 wt% Nylon 6,6 solution in 80 wt% FA and 20 wt% DCM. An increase of 118%, 280% and 26% in tensile strength, modulus of elasticity and elongation at break over as-cast was obtained, respectively. Glass transition temperature of Nylon 6,6 nanofibers were determined by using differential scanning calorimeter (DSC). Analysis of variance ANOVA shows that NY% is the most influential parameter.

Implementation and Simulation of Cyber Physical System for Robotic Arm Control in Smart Factory

Saleh Saif,Firda Rahmadani,Hyunsoo Lee(이현수) 한국지능시스템학회 2019 한국지능시스템학회논문지 Vol.29 No.4

제4차 산업혁명시대의 제조 및 생산 라인 내부의 프로세스는 IoT 및 관련 임베디드 시스템을 통해 공정 내 제품 정보 및 상태를 파악하고, 각 시스템들의 상호연결을 통해 전체 프로세스 주기를 실시간으로 파악할 수 있다. 이러한 시스템 내에서 병목 현상과 문제점을 파악하는 것은 사이버 물리적 시스템 (CPS)의 주된 기능 중의 하나이다. 이 연구에서는 생산현장에서 마이크로 프로세서로 제어되는 로봇 팔의 사이버 물리적 시스템 구현을 통해, 로봇팔이 포함된 전 생산 프로세스를 제어하고 최적화하는데 초점을 둔다. 본 연구에서 구현한 프레임 워크는 다이나믹하게 변화되는 생산환경을 센서를 통하여 CPS로 전송하여, 장착된 시뮬레이션 기능을 통하여 사이클 타임을 추정하고, 이를 목표 사이클 타임과 비교한다. 이때 생기는 차이를 줄이기 위하여, 로봇 파라미터의 조합을 통한 효과적인 솔루션을 도출하고, 이를 로봇 팔의 제어에 적용한다. 제안 된 프레임 워크는 실시간 시뮬레이션 및 제어를 가능하게 하며, 동시에 다양한 시나리오를 테스트할 수 있는 테스트베드로 사용 가능하다. As the age of the fourth industrial revolution has begun, processes inside manufacturing and production lines have been checked using Internet of Things (IoT) and the related embedded systems, and the overall processes’ lifecycle can be monitored in real time. One of the representing Cyber Physical System (CPS)’s roles is to identify bottleneck processes and to analyze them. This research implements a CPS of a robotic arm using microprocessor based embedded systems. The implemented system focuses on the overall manufacturing process including the robotic arm and optimizes them. In the implemented system, the dynamical changes in a manufacturing environment are detected using sensors and sent to the CPS. Then, cycle time is estimated using the embedded simulation module and compared with the manufacturing objective. In order to decrease the gap, effective solutions are driven using adjustments of the control parameters and their simulation. Finally, the solutions are applied to the robotic arm. The proposed framework has abilities of real-time simulation and controls. In addition, it is used as a test bed framework for testing and analyzing various manufacturing scenario.

Operations on the Similarity Measures of Fuzzy Sets

Saleh Omran,M. Hassaballah 한국지능시스템학회 2007 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.7 No.3

Measuring the similarity between fuzzy sets plays a vital role in several fields. However, none of all well-known similarity measure methods is all-powerful, and all have the localization of its usage. This paper defines some operations on the similarity measures of fuzzy sets such as summation and multiplication of two similarity measures. Also, these operations will be generalized to any number of similarity measures. These operations will be very useful especially in the field of computer vision, and data retrieval because these fields need to combine and find some relations between similarity measures.

Thermodynamic and economic analysis of the performance of a direct evaporative cooler working under extreme summer weather conditions

Saleh S. Baakeem,Jamel Orfi,Abdelbasset Bessadok-Jemai 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.4

Riyadh is a desert region characterized by large daily and seasonal ambient temperature variations. Air cooling using mechanical vapor compression requires high energy rates resulting in negative environmental impacts. The use of non-conventional cooling methods such as evaporative cooling is attractive and needs further investigations particularly in such critical weather conditions. This paper deals with the analysis of the performance of a direct evaporative cooling in hot and arid weather conditions. Theoretical models using heat and mass transfer, exergy and cost analysis are first developed and presented. Such models have been systematically validated using available experimental and theoretical results from previous studies. The second part of the work concerns the analysis of the performance of a direct evaporative cooler under a metropolitan central Arabian Peninsula (Riyadh, KSA) weather conditions using average hourly temperature and relative humidity of the month of July. The optimum operating parameters of the cooler have been then selected. The analysis shows that the effect of the cooler effectiveness on the exergy efficiency is not significant. The suitable value of the effectiveness of the evaporative cooler working under summer weather of the studied location is found to be between 0.7-0.8. Such a value achieves comfortable conditions at low cost.

Activity of Some Intracellular Enzymes of Three Virulent Erwinia sp. in Presence of Some Heavy Metal Salts

Saleh, Youssry-E.,Naguib, Mohamed-I.,Shehata, Nabil-E. The Pharmaceutical Society of Korea 1990 Archives of Pharmacal Research Vol.13 No.4

Based on equal number of cells, supplementation of 10$^{-6}$ M cadimium highly simulated the intracellular amylase. GCT, LDH as well as the glucose and erea content of E carotovora var, carotovaro cells. This was coupled with initiation of highly active GOT, CPK as well as accumulation of cholesterol in the cells. Lanthanum was less active and unable to initiate COT or CPK. Nickel was almost without effect though reduced LDH activity without initiating either enzyme or cholesterol production. Similar stiulations and/or initiations were observed, though to variable extents, when the same concentration of the three elements were supplied to E. carotovora var, citullis or E. toxica. The highest yield of amylase, GPT, GGT or glucose was obtained when E. carotovora var. carotovora was supplemented with Cd + Ni. The highest urea level was recorded in Erwinia carotovara var, cirullis, amended with Cd + La.