Optimizing Average Electric Power During the Charging of Lithium-Ion Batteries Through the Taguchi Method

In recent times, lithium-ion batteries have been widely used owing to their high energy density, extended cycle lifespan, and minimal self-discharge rate. The design of high-speed rechargeable lithium-ion batteries faces a significant challenge owing to the need to increase average electric power during charging. This challenge results from the direct influence of the power level on the rate of chemical reactions occurring in the battery electrodes. In this study, the Taguchi optimization method was used to enhance the average electric power during the charging process of lithium-ion batteries. The Taguchi technique is a statistical strategy that facilitates the systematic and efficient evaluation of numerous experimental variables. The proposed method involved varying seven input factors, including positive electrode thickness, positive electrode material, positive electrode active material volume fraction, negative electrode active material volume fraction, separator thickness, positive current collector thickness, and negative current collector thickness. Three levels were assigned to each control factor to identify the optimal conditions and maximize the average electric power during charging. Moreover, a variance assessment analysis was conducted to validate the results obtained from the Taguchi analysis. The results revealed that the Taguchi method was an eff ective approach for optimizing the average electric power during the charging of lithium-ion batteries. This indicates that the positive electrode material, followed by the separator thickness and the negative electrode active material volume fraction, was key factors significantly infl uencing the average electric power during the charging of lithium-ion batteries response. The identification of optimal conditions resulted in the improved performance of lithium-ion batteries, extending their potential in various applications. Particularly, lithium-ion batteries with average electric power of 16 W and 17 W during charging were designed and simulated in the range of 0-12000 s using COMSOL Multiphysics software. This study efficiently employs the Taguchi optimization technique to develop lithium-ion batteries capable of storing a predetermined average electric power during the charging phase. Therefore, this method enables the battery to achieve complete charging within a specific timeframe tailored to a specificapplication. The implementation of this method can save costs, time, and materials compared with other alternative methods, such as the trial-and-error approach.

Assessment of Heavy Metals Contamination of Topsoil and Street Dust around Cement Factory in Southern Jordan

Evaluation of assessment of the metal processes governing the metals distribution in soil and dust samples is very significant and protects the health of human and ecological system. Recently, special attention has given to the assessment of metals pollution impact on soil and dust within industrial areas. This study aims to assess the metal contamination levels in the topsoil and street dust around the cement factory in Qadissiya area, southern Jordan. The levels of seven metals (namely Fe, Zn, Cu, Pb, Cr, Cd, and Mn) were analyzed using Flame Atomic Absorption Spec-trophotometer (FAAS) to monitor, evaluate, and to compare topsoil and road dust pollution values of metals of the different types of urban area. The physicochemical parameters which believed to affect the mobility of metals in the soil of the study area were determined such as pH, EC, TOM, CaCO3 and CEC. The levels of metal in soil samples are greater on the surface but decrease in the lower part as a result of the basic nature of soil. The mean values of the metals in soil can be arranged in the following order: Zn > Pb > Mn > Fe > Cu > Cr > Cd. The relatively high concentration of metals in the soil sample was attributed to anthropogenic activities such as traffic emissions, cement factory and agricultural activities. Correlation coefficient analysis and the spatial distribution of indices and the results of statistical analysis indicate three groups of metals: Fe and Mn result by natural origin, Zn, Pb, Cu and Zn result by anthropogenic origin (mainly motor vehicle traffic and abrasion of tires) while Cd is mixed origin. The higher content level values of metals of anthropogenic source in soil samples indicate that it is a source of contamination of air in the studied area. .

Mass attenuation coefficient of olive peat material for absorbing gamma ray energy

The mass attenuation coefficients (l/q) of a natural material, i.e., olive peat, were measured at photon energies of 0.059, 0.356, 0.662, 1.17, and 1.332 MeV and compared with those of concrete and Pb. The experimental samples were irradiated with 214Am, 133Ba, 137Cs, and 60Co point sources using a transmission arrangement. The olive peat samples were obtained from different areas in Jordan, namely Mafraq (sample M), Kerak (sample K), Ajloun (sample A), and Irbid (sample I), and photon energies were measured using a NaI(Tl) scintillation detector with an energy resolution of 7.6% at 662 keV. The differences in the l/q of olive peat samples and the calculated l/q of concrete were consistently within 0.7% at photon energies of 0.356–1.332 MeV. This finding indicates that olive peat can be used in radiation applications in the field of medical physics. Finally, the half-value layer (HVL) of the experimental samples was measured, and results were compared with those of concrete and Pb. Pb and concrete exhibited minimal HVL values due to their high density, and the HVL of olive peat revealed lower shielding effectiveness than that of concrete.

Lossless Image Compression Technique Using Combination Methods

The development of multimedia and digital imaging has led to high quantity of data required to represent modern imagery. This requires large disk space for storage, and long time for transmission over computer networks, and these two are relatively expensive. These factors prove the need for images compression. Image compression addresses the problem of reducing the amount of space required to represent a digital image yielding a compact representation of an image, and thereby reducing the image storage/transmission time requirements. The key idea here is to remove redundancy of data presented within an image to reduce its size without affecting the essential information of it. We are concerned with lossless image compression in this paper. Our proposed approach is a mix of a number of already existing techniques. Our approach works as follows: first, we apply the well-known Lempel-Ziv-Welch (LZW) algorithm on the image in hand. What comes out of the first step is forward to the second step where the Bose, Chaudhuri and Hocquenghem (BCH) error correction and detected algorithm is used. To improve the compression ratio, the proposed approach applies the BCH algorithms repeatedly until “inflation” is detected. The experimental results show that the proposed algorithm could achieve an excellent compression ratio without losing data when compared to the standard compression algorithms.

Beneficiation study of Eshidiya phosphorites using a rotary triboelectrostatic separator

这研究被执行调查把一个旋转 Triboelectrostatic 隔板(RTS ) 用于 Eshidiya 磷酸盐矿物质的 beneficiation 的可行性。RTS 分离测试在磷酸的床 A1，磷酸的床 A3 和软泥样品上被执行。没有 desliming，床 A1 和软泥样品被测试。测试的二个集合用 A3 样品被执行：没有 desliming 和其它，一个人与 A3 样品 deslimed 被执行。当开始在床 A1 上表现了，软泥样品给了实质上有一样的 P2O5 内容的产品， RTS 分离测试。这显示磷酸盐表面上的吸附的泥土粒子为 un-deslimed 磷酸盐的差的分离负责。更好的 triboelectrostatic 分离与 undeslimed A3 磷酸盐样品被观察；这些测试导致了 26% P2O5 的一个最高的产品等级。deslimed A3 样品比 undeslimed A3 那件显示出更多的有效分离。事实上，一 34% P2O5 的 concentrate 从 deslimed A3 的 triboelectrostatic 分离被获得。结果显示与 deslimed A3 P2O5，恢复是大约 65% 为一 28% P2O5 并且大约的 concentrate 45% 为一 30% P2O5 的 concentrate。这些结果清楚地由 RTS 为磷酸盐的有效 beneficiation 显示出 desliming 的重要性。更有效的分离能从操作条件和电路配置优化被期望。

A comparison of anionic and cationic flotation of a siliceous phosphate rock in a column flotation cell

筹款性能一软泥 de (? 150 + 53 渭 m ) 约旦的硅质的磷酸盐在 100 厘米高的批实验室筹款列和 5 厘米里面被评估直径。当胺醋酸盐(AEROMINE 3100C ) 被用于 cationic 筹款时，在 anionic 筹款期间使用的收集者是钠油酸盐。在不同收集者剂量，表面的煤气的速度，和 frother 集中的筹款比较证明在在 cationic 和 anionic 筹款之间的性能的最大的差别与这些筹款参数被获得：30 脳 10 ? 6 (mg/L ) frother 集中， 250 g/t 收集者集中，和 3.4 cm/s 表面的煤气的速度。在这些操作条件胺(cationic ) ，筹款给了 7% 更高的筹款恢复， 6% 清洁工集中等级，并且是在搬迁有效的 6% 更多硅石。

On the optimization of froth flotation by the use of an artificial neural network

A multi layered, feed forward Artificial Neural Network (ANN) was used to study the effect of feed mean size, collector dosage and impeller speed on flotation recovery and grade. The results of 30 flotation experiments conducted on Jordanian siliceous phosphate were used for training the network while another 10 experiments were used for validation. Simulation results showed that a four layer network with a [9 11 5 9 2] architecture was the one that gave the least mean squared error (MSE). Using this ANN to optimize the flotation process showed that the optimum flotation parameters were 321.28 μm for the feed mean size, 0.7354 kg/TOF for the collector dosage and 1225.25 RPM for the impeller speed. Studying the effect of these parameters on flotation recovery and grade was done by analysis of variance, ANOVA. The results showed that grade was more sensitive to changes in flotation parameters than was recovery. They also showed that changes in collector dosage had a more significant effect on flotation grade and recovery than did changes in feed mean size or impeller speed.

The Relationship between Time Pressure and Burnout Syndrome: A Cross-Sectional Survey among Jordanian Nurses

Burnout among nurses is well documented in literature. Precursors of burnout such as time pressure need further study for better understanding. In Jordan literature, studies regarding time pressure and burnout among Jordanian nurses are scarce. This study aimed to 1) evaluate the relationship between time pressure and burnout, and 2) identify participants’ characteristics that may have relationship with time pressure and burnout. A descriptive correlational design was utilized using a self-reported cross-sectional survey to collect data from 175 Jordanian nurses. Participants reported high level of time pressure (24.8 out of 126) and burnout (72.9 out of 126). Time pressure was correlated with emotional exhaustion and depersonalization (r = 0.561, 0.491, P < 0.01, respectively). Burnout was highest on the emotional exhaustion (72%) compared to 53.9% for depersonalization and 49.2% for personal achievement. Depersonalization showed the most frequent correlation with participants’ characteristics. Burnout was found to be common among Jordanian nurses, and time pressure is a precursor of this phenomenon, giving rise to the consequences on both patients’ and nurses’ health. Healthcare administrators have to modify the nursing work environment to be less stressful and more appealing to overcome the causes of nurses’ burnout.

An Optimized Data Fusion Paradigm for WSN Based on Neural Networks

Wireless sensor networks(WSNs)have gotten a lot of attention as useful tools for gathering data.The energy problem has been a fundamental constraint and challenge faced by many WSN applications due to the size and cost constraints of the sensor nodes.This paper proposed a data fusion model based on the back propagation neural network(BPNN)model to address the problem of a large number of invalid or redundant data.Using three layeredbased BPNNs and a TEEN threshold,the proposed model describes the cluster structure and filters out unnecessary details.During the information transmission process,the neural network’s output function is used to deal with a large amount of sensing data,where the feature value of sensing data is extracted and transmitted to the sink node.In terms of life cycle,data traffic,and network use,simulation results show that the proposed data fusion model outperforms the traditional TEEN protocol.As a result,the proposed scheme increases the life cycle of the network thereby lowering energy usage and traffic.

Analysis of Selected Oil Shale Samples from El-Lajjun, Central Jordan

The centralJordanpart is rich in bituminous rocks that are known locally as oil shale (OS). These rocks were formed during the Maastrichtian-Palaeocene time. They belong to the Muwaqqar ChalkMarlformation (MCM). El-Lajjun OS deposit is located in relatively thinly populated area. This study presents the results of mineralogical, petrographical and geochemical analyses that are performed on selected surface outcrop oil shale samples from El-Lajjun area in central Jordan. Results show that El-Lajjun OS deposit is considered as a good source of OS resources since its organic matter is quite significant. The bulk rock material is made of carbonate.

Geologic and economic potentials of minerals and industrial rocks in Jordan

This work discusses status of the geologic and economic potentials of minerals and industrial rocks in Jordan. The major mineral resources are presented in details and the paper is designed to cover the lack of published data in this field. Geologically, the structural framework of Jordan is controlled largely by Arabian Nubian Shield in the south, block—faulted areas in the east, upwarping in north and east, and Wadi Araba-Dead Sea Transform Fault in the western part. The geologic environments include Precambrian crystalline basement (Late Proterozoic) of Arabian Nubian Shield (ANS) that is composed of igneous and metamorphic rocks at south-western part. Paleozoic rocks at southern and southeastern part consist of clastic minerals which are dominated by sandstone, whereas Mesozoic sedimentary rocks are widespread throughout southwestern, northern to southeastern parts of the country. They mainly consist of major industrial rocks and minerals such as phosphate, oil shale, limestone, dolomite, chalk, marble, gypsum, diatomite and tripoli. Cenozoic Era is composed of sedimentary and volcanic rocks in different parts of Jordan. There are more than twenty nonmetallic minerals and four main metallic deposits within the various geologic environments. This paper summarizes their distribution, chemical and mineralogical characteristics, in addition to their production statistics.

An Improved Dictionary Cracking Scheme Based on Multiple GPUs for Wi-Fi Network

The Internet has penetrated all aspects of human society and has promoted social progress.Cyber-crimes in many forms are commonplace and are dangerous to society and national security.Cybersecurity has become a major concern for citizens and governments.The Internet functions and software applications play a vital role in cybersecurity research and practice.Most of the cyber-attacks are based on exploits in system or application software.It is of utmost urgency to investigate software security problems.The demand for Wi-Fi applications is proliferating but the security problem is growing,requiring an optimal solution from researchers.To overcome the shortcomings of the wired equivalent privacy(WEP)algorithm,the existing literature proposed security schemes forWi-Fi protected access(WPA)/WPA2.However,in practical applications,the WPA/WPA2 scheme still has some weaknesses that attackers exploit.To destroy a WPA/WPA2 security,it is necessary to get a PSK pre-shared key in pre-shared key mode,or an MSK master session key in the authentication mode.Brute-force cracking attacks can get a phase-shift keying(PSK)or a minimum shift keying(MSK).In real-world applications,many wireless local area networks(LANs)use the pre-shared key mode.Therefore,brute-force cracking of WPA/WPA2-PSK is important in that context.This article proposes a new mechanism to crack theWi-Fi password using a graphical processing unit(GPU)and enhances the efficiency through parallel computing of multiple GPU chips.Experimental results show that the proposed algorithm is effective and provides a procedure to enhance the security of Wi-Fi networks.

Characterization and Origin of the Miocene Mudawwara-Quwayra Basaltic Dike, Southern Jordan

Petrographic, mineralogical and geochemical investigations were carried out on representative?samples from the Mudawwara-Quwayra Dike (MQD) in southernJordan. The MQD intruded Paleozoic and Cretaceous rocks as sub-vertical basaltic plugs, striking NW-SE along a fault zone and extending for more than 100 km. The MQD forms irregularly positive features, and is represented by symmetrical, elliptical, elongated or circular hills. It comprises thin basaltic layers intercalated?with pyroclastics and inclusions of different size and lithology, including limestone, sandstone, phosphate, quartzite, and marble. Petrographically, the rock exhibits phyric, porphyritic, vitrophyric and locally glomerophyritic textures manifested by plagioclase, clinopyroxene and rare?olivine and set in a matrix of plagioclase, pyroxene, brown glass and opaque phases. Clinopyroxene?and olivine phenocyrsts show disequilibrium textures such as reaction/resorbed rims in the?forms of corroded ends. The paragenetic sequence shows that olivine is the first phase to be crystallized and coexisting with pyroxene at sometime, while pyroxene continues crystallization. Plagioclase might have crystallized in contemporaneous later than the pyroxene. The MQD rocks are classified?as basalt and exhibit a narrow range of silica with a unique subalkaline affinity. This is most?probably attributed to assimilation of the abundant siliciclastic inclusions by the ascending magma. Emplacement of the MQD is attributed to regional phase of magmatism in Jordan and Saudi Arabia, which is probably the peripheral extension of a large magmatic event widely exposed in the Red Sea realm.

Shale Oil Solvent Extraction of Central Jordan El-Lajjun Oil Shale

The extraction of the organic matter (OM) from oil shale (OS) can be achieved by several processing techniques. Normally, these techniques can remove high proportion of the organic material contained in oil shale. In this work, organic solvents extraction experiments were implemented to investigate the effect of various parameters on Jordanian El-Lajjun oil shale extractability. Results indicate that the approximate organic matter content in studied El-Lajjun oil shale is 17.48%, and 75% of OS sample particles diameters are less than 270 μm. The grain size has minor effect on shale oil extraction via organic solvents. Among eleven solvents used, the highest yield is obtained via the tetrahedrofuran (THF), whereas, with the use of solvent mixtures, the highest bitumen yield is obtained through the mixture of THF and toluene. The solvation variability is related to mode of extraction and various physicochemical factors such as extraction temperature, pressure, solvent type and mixing time, which result in different OM yield. The results indicate that the solvent extraction could be potential for shale oil extraction from Jordanian El-Lajjun OS under certain conditions of temperature, pressure and solvent type used.

Fractional Yield, Extract Composition and Variability from Jordanian Oil Shales

Surface and subsurface oil shale (OS) rocks in Jordan have potential economic value for the country and still unutilized. This research paper focuses on central and southern OS deposits in Jordan. Brief characterization of four OS deposits is presented. Size distribution test and elemental analysis were performed. Shale oil was extracted via three solvation methods: Soxhlet extraction, extraction via mixing and stirring, and lastly super-critical fluid extraction. Major shale oil fractions were obtained from extract fractionation on chromatographic column. The nuclear magnetic resonance spectroscopy technique was used to study qualitatively the fractional composition of OS extract. Results show that all studied OS deposits have quite similar trend in their particle size distribution and their elemental composition. These OS deposits are found to be varying in their solvation behavior, fractional yield, and shale oil composition. Highest yield is obtained from polar solvents. The OS extraction via solvation processes is promising under certain extraction conditions such as super-critical conditions. The solvation variability of Jordanian OS indicates that different extraction techniques suit different OS deposits. Such variability should be considered in any future extraction options.

Distribution and mode of occurrence of radionuclides in phosphogypsum derived from Aqaba and Eshidiya Fertilizer Industry,South Jordan

Phosphogypsum (PG) is a by-product of the chemical reaction called the "wet process" whereby sul-phuric acid reacts with phosphate rock (PR) to produce phosphoric acid, needed for fertilizer production. Through the wet process, some impurities naturally present in the PR become incorporated in PG, including U decay-series radionuclides, are the main important concern which could have an effect on the surrounding environment and pre-vent its safe utilization. In order to determine the distribution and bioavailability of radionuclides to the surrounding environment, we used a sequential leaching of PG samples from Aqaba and Eshidiya fertilizer industry. The results showed that the percentages of 226Ra and 210Pb in PG are over those in the corresponding phosphate rocks (PG/PR), where 85% of the 226Ra and 85% of the 210Pb fractionate to PG. The sequential extraction results exhibited that most of 226Ra and 210Pb are bound in the residual phase (non-CaSO4) fraction ranging from 45%-65% and 55%-75%, respectively, whereas only 10%-15% and 10%-20% respectively of these radionuclides are distributed in the most labile fraction. The results obtained from this study showed that radionuclides are not incorporated with gypsum itself and may not form a threat to the surrounding environment.

ESSD: Energy Saving and Securing Data Algorithm for WSNs Security

The Wireless Sensor Networks(WSNs)are characterized by their widespread deployment due to low cost,but the WSNs are vulnerable to various types of attacks.To defend against the attacks,an effective security solution is required.However,the limits of these networks’battery-based energy to the sensor are the most critical impediments to selecting cryptographic techniques.Consequently,finding a suitable algorithm that achieves the least energy consumption in data encryption and decryption and providing a highly protected system for data remains the fundamental problem.In this research,the main objective is to obtain data security during transmission by proposing a robust and low-power encryption algorithm,in addition,to examining security algorithms such as ECC and MD5 based on previous studies.In this research,the Energy Saving and Securing Data algorithm(ESSD)algorithm is introduced,which provides the Message Digest 5(MD5)computation simplicity by modifying the Elliptic Curve Cryptography(ECC)under the primary condition of power consumption.These three algorithms,ECC,MD5,and ESSD,are applied to Low Energy Adaptive Clustering Hierarchy(LEACH)and Threshold-sensitive Energy Efficient Sensor Network Protocol(TEEN)hierarchical routing algorithms which are considered the most widely used in WSNs.The results of security methods under the LEACH protocol show that all nodes are dead at 456,496,and 496,respectively,to ECC,MD5,and ESSD.The results of security methods under the TEEN protocol show that the test ends at 3743,4815,and 4889,respectively,to ECC,MD5,and ESSD.Based on these results,the ESSD outperforms better in terms of increased security and less power consumption.In addition,it is advantageous when applied to TEEN protocol.

Arabic Music Genre Classification Using Deep Convolutional Neural Networks (CNNs)

Genres are one of the key features that categorize music based on specific series of patterns.However,the Arabic music content on the web is poorly defined into its genres,making the automatic classification of Arabic audio genres challenging.For this reason,in this research,our objective is first to construct a well-annotated dataset of five of the most well-known Arabic music genres,which are:Eastern Takht,Rai,Muwashshah,the poem,and Mawwal,and finally present a comprehensive empirical comparison of deep Convolutional Neural Networks(CNNs)architectures on Arabic music genres classification.In this work,to utilize CNNs to develop a practical classification system,the audio data is transformed into a visual representation(spectrogram)using Short Time Fast Fourier Transformation(STFT),then several audio features are extracted using Mel Frequency Cepstral Coefficients(MFCC).Performance evaluation of classifiers is measured with the accuracy score,time to build,and Matthew’s correlation coefficient(MCC).The concluded results demonstrated that AlexNet is considered among the topperforming five CNNs classifiers studied:LeNet5,AlexNet,VGG,ResNet-50,and LSTM-CNN,with an overall accuracy of 96%.

Chaotic Krill Herd with Deep Transfer Learning-Based Biometric Iris Recognition System

Biometric verification has become essential to authenticate the individuals in public and private places.Among several biometrics,iris has peculiar features and its working mechanism is complex in nature.The recent developments in Machine Learning and Deep Learning approaches enable the development of effective iris recognition models.With this motivation,the current study introduces a novel Chaotic Krill Herd with Deep Transfer Learning Based Biometric Iris Recognition System(CKHDTL-BIRS).The presented CKHDTL-BIRS model intends to recognize and classify iris images as a part of biometric verification.To achieve this,CKHDTL-BIRS model initially performs Median Filtering(MF)-based preprocessing and segmentation for iris localization.In addition,MobileNetmodel is also utilized to generate a set of useful feature vectors.Moreover,Stacked Sparse Autoencoder(SSAE)approach is applied for classification.At last,CKH algorithm is exploited for optimization of the parameters involved in SSAE technique.The proposed CKHDTL-BIRS model was experimentally validated using benchmark dataset and the outcomes were examined under several aspects.The comparison study results established the enhanced performance of CKHDTL-BIRS technique over recent approaches.

Spectroscopic and Fluorescence Studies on the Trivalent Ce,Eu,Nd and La Metal Ions Rhodamine CFlorescent Dye Complexes

The four isolates solid complexes:[La(RHC)(NO_(3))_(2)]·3H_(2)O,[Nd(RHC)(NO_(3))_(2)]·4H_(2)O,[Eu(RHC)(NO_(3))_(2)]·2H_(2)O,and[Ce(RHC)(NO_(3))_(2)]·5H_(2)O that obtained by the reaction of the nitrate salts of the Ce(Ⅲ),Eu(Ⅲ),Nd(Ⅲ)and La(Ⅲ)ions and rhodamie C(RHC)ligand were interpretative using elemental analysis(C,H and N),molar conductivity,infrared,electronic,fluorescence and 1H-NMR spectra to achieve the speculated suitable formula.The low molar conductance values of the synthesized RHC complexes concluded the non-electrolytic behavior.The infrared spectra recorded the absence of stretching vibrationν(OH)of the—COOH and presence of two new vibration bands at 1597~1601 and 1383~1399 cm^(-1)which were assigned toνas(COO-)andνs(COO-).The difference between them revealed that the carboxylate group acts as a bidentate ligand.1HNMR spectra of Europium and lanthanum(Ⅲ)complexes were supported the FTIR results based on the absent of proton of the carboxylic group.Therefore,the microanalytical and spectroscopic results deduced that RHC acts as a monobasic bidentate ligand,and coordinated to the central metal(Ⅲ)ions via the two oxygen atoms of deprotonated carboxylic group.Fluorescence studies were performed on the metal complexes of Ce^(3+),Tb^(3+),Th^(4+),Gd^(3+)and La^(3+),that referred a quenching in the fluorescene intensity of rhodamine C in the aqueous state after complexation.The antimicrobial assessment against some kind of bacteria and fungi were also checked and recorded enhancement in case of their complexes.