bluuebunny/crossref_metadata_2025 huggingface dataset:
A permanent insulator system for hydrometallurgy with a significant increase in electric efficiency and without short circuit
Authors: Dufresne Robert , Arabzadeh Hamid
Published: April 2024

A permanent insulator system for hydrometallurgy has been developed with a significant increase in electric efficiency and without short circuits. The system consists of a double electric contact point for each cathode and anode and a new design of the insulating and contact system of the electrodes. The combination of these technologies provides a more uniform electric density inside each cathode and anode, in each cell, and also for the whole electric circuit in the cellhouse. Keeping a consistent maximum performance necessitates using parts with extreme durability against chemical attacks and short circuits. Hence, a comprehensive research into chemical stoichiometry and the behaviour of different molecules resulted in the development of an outstanding chemical resistance level to sulfuric acid and extremely high temperatures throughout the entire hydrometallurgical process. Field observations show that this formulation has been able to resist up to 19 years of continuous operation without maintenance. The goal of these developments combined with a new contact system was to reduce any type of short circuit by 70 to 80%, which in turn increases the electric current effectiveness by 8 to 10%. As a result, higher contact efficiencies have doubled the lifetime of the cathode and anode with this system. Consequently, the overall electric efficiency in a refinery cellhouse can be improved by 10-12%. Observations from real-world applications over the past decades have proven the efficiency of the earlier versions of this new concept. The system was found to be applicable to any type of contact system and has been used in various hydrometallurgical processes with great success. With the increasing price of energy and CO2 production, it has become more important to operate ecologically and efficiently to maximize profitability and this permanent insulator system can address many challenges which lead to a more efficient and cost-effective process.
A Review on Recycling of Waste Lead-Acid Batteries
Authors: Zhao Tianyu , Chae Sujin , Choi Yeonuk
Published: April 2024

Lead-acid batteries (LABs) have become an integral part of modern society due to their advantages of low cost, simple production, excellent stability, and high safety performance, which have found widespread application in various fields, including the automotive industry, power storage systems, uninterruptible power supply, electric bicycles, and backup power supplies. Hence, the use of LABs has greatly benefited human society and contributed to advancements in science and technology. However, the extensive use of LABs unavoidably leads to the generation of a significant amount of LABs waste. On one hand, if these waste LABs are not handled properly, any leakage can cause devastating damage to the natural environment and human health. On the other hand, waste LABs represent an important secondary resource for lead, with approximately 64.57% of global lead resources derived from recycled lead, making them a major source of lead worldwide. Moreover, approximately 85% of global lead resources are currently utilized for manufacturing LABs, and the recycling of waste LABs brings favourable prospects for the sustainable development of the energy storage industry. Therefore, the recycling of waste LABs is necessary and inevitable. In this paper, we have comprehensively reviewed the methods of recycling waste LABs. Particularly, we focused on the valuable component of waste lead paste and critically evaluated the pyrometallurgical and hydrometallurgical techniques associated with it. By categorizing and summarizing the characteristics of different methods, we have conducted a detailed comparison of these technologies, aiming to provide a comprehensive assessment of the advantages, disadvantages, status, and trends in LABs recycling technology. Additionally, the paper explores the necessity and impacts of recycling waste LABs from the perspectives of resource, energy, economy, environment, and society. It discusses the challenges faced by waste LABs recycling and presents the development prospects from both technical and non-technical point of views.
Technology Selection for Slag Zinc Fuming Process
Authors: Moosavi-Khoonsari Elmira , Mostaghel Sina , Siegmund Andreas
Published: April 2024

Circular economy and multi-metal extraction philosophies more and more encourage smelters to reprocess their by-products most significant of which is slag for recovery of valuable metals. Zinc, for instance, can be introduced to lead and copper smelting operations through different sources, including the recycling of waste electric and electronic equipment. During the conventional smelting processes from primary resources, or even those that are particularly developed for recycling purposes, e.g., Black Copper route, the zinc is typically deported to the slag phase as zinc oxide. Recovery of zinc from slag is typically carried out via a slag zinc fuming operation, where a reductant is used to reduce zinc oxide and volatilize zinc metal. In most cases, volatilized zinc is re-oxidized to produce zinc oxide, which can then be sent to hydrometallurgical unit processes for refining. Several technologies and reactors have been developed for efficient and cost-effective fuming processes, none of which can be considered the “best” and most suitable technology for all applications and smelter conditions/slag compositions. This paper reviews the advantages and disadvantages of each of the available technologies and recommends the most suitable process for common conditions.
Copper-cobalt cake as a potential source of germanium
Authors: Drzazga Michał , Ciszewski Mateusz , Kozłowicz Sylwia , Maj Izabela , Kasierot Sonia , Orda Szymon , Radoń Adrian
Published: April 2024

Germanium is an important element used in crucial industry sectors like optical fibers for telecommunication or IR optics for night vision systems. However, its global output is limited. It is estimated that its annual global production is ca. 140 tons. Therefore, many world economies, including USA and EU, consider it as a critical raw material. One of the potential sources of germanium is zinc metallurgy. It is assumed that only 3% of germanium present in processed zinc ores is recovered. It was found that during the technological processes of Polish zinc smelters some by-products containing elevated germanium concentrations are produced. In the paper, potential germanium sources, including copper-cobalt cake obtained during the purification of zinc electrolyte and dross from the feeding furnace, are presented. The main components of the cake are cadmium, zinc, copper, nickel, cobalt, and lead, while the dross contains mainly zinc (>65%). Results of leaching tests for both materials using aqueous sulfuric acid solutions are shown. In the case of the cake, wet and dried material was investigated. It was found that the germanium leaching yield for the dried material reached 99%, while for the wet one was 46-86%, depending on leaching conditions (without or with oxidant). On the other hand, the germanium leaching yield for the dross reached 55%. Further processing of the solutions obtained after germanium leaching from the copper-cobalt cake was also analyzed. Two ways were proposed, including precipitation with tannic acid and solvent extraction with addition of complexing agents using a trioctylamine extractant.
Evaluation of recycled galvanised steel as a resource for Zn production
Authors: Uys N , Becker M , Petersen J
Published: April 2024

The high reduction potential of zinc has enabled its extensive use in the steel industry as a protective galvanising coating. Galvanising, which consumes approximately 50-60% of the global production of zinc, significantly increases the life span of steel products and contributes towards addressing the costly global problem of corrosion. While there does not appear to be a readily available and agreed-upon annual quantity of galvanised steel produced, it has been estimated by the authors to be 320-390 Mt/a (equating to 15-20% of the annual steel production). Due to the various methods employed to galvanise steel and different steel shapes which are coated, there is no clarity on the average percentage of zinc which galvanised steel is comprised of. However, a zinc content of between 1.5-2.5% appears to correlate with the estimated annual galvanised steel production.

The reprocessing of secondary zinc streams is becoming increasingly important due to legislation changes and increased consumer demand for recycled and low carbon metals. Within the steel industry this will include the recycling of galvanised scrap steel, using primary process routes, as well as the re-processing of waste streams, such as steel dusts, using additional technologies such as the Waelz kiln. Zinc associated with galvanised scrap steel would exclusively report to these dusts, and thus represents a key resource for recycled zinc.

Although there are two main steel process routes preceding the galvanising process, the focus here is on the Electric Arc Furnace (EAF) process route due to its ability to incorporate high levels of secondary (zinc containing) steel feeds, and the dust produced typically contains economically recoverable levels of zinc. EAF dust production is estimated between 5-10 Mt/a at a zinc content of 10-36%. Failure to recover this zinc would represent a loss of 0.5-3.6 Mt Zn/a to waste. The Waelz kiln is the most prominent technology utilised to recover Zn from EAF dust. However, this process requires additional energy, and thus the associated carbon footprint needs to be included in the evaluation of the potential of Waelz oxide as a secondary Zn resource. To this end, model analysis of a simplified Waelz kiln using the HSC simulation software shows that the carbon footprint associated with the processing of EAF dust ranges from 4-12 kg CO2/kg Zn dust at 10 wt.% Zn in the dust to 1-4 kg CO2/kg Zn at 35 wt.% Zn in the dust.
Study on strengthening of sulfide tailings high-efficiency solid-liquid separation using water reducing admixtures
Authors: Dong Yingdi , Zeng Yong , Hua Zhongbao , Wang Li , Tang Honghu , Sun Wei
Published: April 2024

The global focus on refined mineral processing and environmental protection has led to stricter requirements for tailings disposal processes. The complex composition and chemical environment of tailings pose challenges in sedimentation and pipeline transportation. This research developed a new additive that is suitable for disposing of copper-lead-zinc sulfide tailings. This additive not only improves sedimentation efficiency and concentration, but also enhances the flowability of high-concentration slurry. This study investigated the effects of four typical water reducing admixtures on the settling and rheological properties of tailings. However, the combination of lignin/PCE and NPAM had a synergistic effect, further improving settling and rheological performance. The addition of PCE increased settling rate by over 2 times, increased sediment concentration by 6.71%, and significantly reduced slurry viscosity and yield stress. The study also used FBRM to analyze the changes in particle/floc size distribution over time. The results showed that the addition of PCE captured more fine particles during flocculation and formed larger flocs. These findings can be used as a reference for the use and optimization of additives in tailings disposal engineering.
Challenges to Treat Complex Zinc Concentrate and Latest Technical Development
Authors: Tan Pengfu
Published: April 2024

The complex zinc concentrate containing high Pb, Cu, SiO2, Na and K, including the Zn-Pb bulk concentrate, cannot be treated in the fluidized bed roaster. The Imperial Smelting Process (ISP) is the main technology to treat this type of concentrate. However, ISP consumes a large amount of coke, which is not only expensive, but also has high CO2 emission.

Several metallurgical processes, which can treat the type of complex zinc concentrate and have low CO2 emission, have been reviewed and compared.

Recently, a new technology “Flash Burner Roasting Process” has been tested successfully at the industrial scale suspension roaster, and the tests demonstrate that this technology can treat the complex zinc concentrate containing high contents of Pb, Cu and SiO2. The thermodynamic modelling for this process has been done. The industrial test results, the modelling results and the further development are presented in this paper.
A deep learning-based intelligent online warning method for gear wear damage based on oil vibration
Authors: Guo Boyang , Chen Jing
Published: April 2024

Gearboxes, as essential connecting and transmission components in mechanical equipment, have been widely used in modern industrial development. Gearboxes are prone to malfunction or even failure due to complex structures and harsh working environments. This article takes online monitoring of gear wear and damage as the research object and studies the fault diagnosis method of gear multi-source heterogeneous parameters for oil monitoring and vibration monitoring. The Yolov5 model is used to identify multi-objective wear particles. The experimental outcomes suggest that the optimized detection method can sensitively reflect the evolution process of gear wear.
Style transfer and recognition of infrared images of transformers under different lighting based on CycleGAN
Authors: Du Xin , Qi Jun , Kang Jiyi , Xie Jun , Wang Chunxin , Wang Jiaxin
Published: April 2024

In order to solve the problem that the transformer in the infrared image of the transformer is difficult to be accurately detected due to strong light irradiation under different lighting conditions, a method for unifying the illumination and equipment identification of the infrared image of the transformer based on CycleGAN and yolov3 is proposed. CycleGAN is used to unify the illumination intensity of the infrared image of the transformer, and an adversarial loss function and a cycle consistency loss function are introduced to ensure high-quality generation of infrared images, and the expanded infrared sample library is richer. Finally, the yolov3 network is trained using the uniformly illuminated image set to achieve accurate identification of transformers. The experimental results show that the infrared image of the transformer that has been unified by illumination can identify the transformer with an accuracy of 95.2%, which is 3.1% higher than before enhancement.
Classification of wafer map defect based on ResNeSt
Authors: Chen Shouhong , Zhu Ziren , Hou Xingna
Published: April 2024

With the increasing circuit complexity of chip design, wafers are prone to defects in the production process. Since different defects have their causes, post-analysis is important to wafer production. However, the sample size is not balanced, and the effect of classical residual networks is limited. This article uses a Split-Attention network (ResNeSt) with which feature maps will be input into k-base groups, each consisting of r groups. Thanks to the large receptive field, image features can be obtained better. We add channel attention and give higher weight to the effective feature channels to improve network performance. Compared with the classical residual network, the new network has an improvement of 43.06%, 32.73%, and 10.86% in handling Scratch, Near-full, and Local defects, respectively.
Research on garbage sorting robotic arm based on image vision
Authors: Huang Youran
Published: April 2024

This paper aims to investigate the application of artificial intelligence in robotic arm automation control for the accurate identification of different types of garbage using deep learning algorithms. The goal is to enable the robotic arm to autonomously classify and handle garbage. The appropriate garbage classification dataset was selected and subjected to data preprocessing in this study. After comparing various well-established convolutional neural network models, including VGG16, InceptionResNetV2, Xception, and InceptionResNetV3, in terms of performance and suitability on the target dataset, the Xception model, which exhibited the best performance metrics, was selected for this research. Subsequently, the paper optimized the model by incorporating self-attention mechanisms, self-optimization strategies for learning rate, learning weight adjustments, and unfreezing of pre-trained layers, resulting in a predictive accuracy of 96.9% on the test set and an AUC area of 0.9989. Additionally, the paper simulated the robotic arm in a simulated environment and successfully achieved the objective of automatic garbage identification and classification using the developed model.
A limited labeled data bearing fault diagnosis method based on self-supervised learning
Authors: Yang Yunji , Wei Yadong , Liang Gaoqi , Guo Liang
Published: April 2024

The key focus of this study revolves around several crucial issues concerning bearing fault diagnosis, and presents an innovative solution. Conventional labeled approaches for bearing fault diagnosis often necessitate labeled data sets, which can be time-consuming or infeasible to obtain. To address this problem, an increasing amount of research has started to explore fault diagnosis methods that utilize limited labeled data. In our study, we introduce a framework for bearing fault diagnosis that incorporates wavelet transform and self-supervised learning techniques. The framework leverages vibration signals and transforms them into time-frequency spectrograms as inputs. To extract features, we employ the Swin Transformer as an encoder. Furthermore, we present a self-supervised learning approach named MoBy to address the challenge of limited labeled samples. Encouragingly, our approach achieves a diagnostic accuracy of 96.4% by utilizing only 1% labeled samples, through a well-trained encoder and a simple linear classification layer. This demonstrates outstanding performance in utilizing limited labeled data. To validate the superiority of our proposed approach, we conducted experiments on two rolling bearing fault datasets and achieved significant results.
Fine-grained partial discharge pattern recognition method based on substation equipment knowledge graph
Authors: Gao Bo , Yan Zhenhua , Li Xuefeng , Xie Chenhao , Geng Shaosheng
Published: April 2024

Discharge-type faults are one of the main types of faults in substation equipment, and partial discharge (PD) faults are an important cause of equipment discharge faults. When different types of PD faults occur in equipment, their fault handling plans also vary accordingly. Therefore, the identification of PD types in equipment is very important. Aiming at the problem that the recognition accuracy of the existing methods is not high enough due to the low quality of PD data and unbalanced samples in the process of equipment PD pattern recognition, we propose a fine-grained method to recognize PD patterns based on substation equipment knowledge graph. This model combines a visual encoder with a knowledge graph and uses the fine-grained attribute features and the association feature information of the PD entity provided by the knowledge graph for the research of equipment PD pattern recognition. After experimental verification, the accuracy of PD pattern recognition in our proposed method is significantly higher than that of previous methods.
Kinematic performance analysis of a robot climbing steps without movable tracks on a swing arm
Authors: Chen Wei , Zhang Zhian
Published: April 2024

A lightweight tracked robot with no moving swing arm is designed, which is mainly used in exploring narrow spaces. The mathematical model of the position of the robot’s center of mass with the elevation Angle of the vehicle body and the Angle between the swinging arm is established. The kinematics of the robot in different typical terrains, such as ramp, ditch, and step, is analyzed. By analyzing the critical state of the change of the position of the center of mass, the maximum Angle and width of climbing and crossing are calculated under ideal conditions. The maximum height of the robot is also calculated when using different ways to overcome obstacles, corresponding to the position attitude under the maximum climbing height. It provides a data theory basis for robot motion control strategy.
Analysis and solution of sparking fault in IGBT connection copper bar of compact driver
Authors: Ma Yuhua , Wu Di , Mao Xueyu
Published: April 2024

With the high-speed development of modern industrial automation, the demand for miniaturization of the high-current driver is higher and higher, which makes the space inside the driver more and more compact. According to the traditional installation form, in the production process, there will be screw deviation or loose during the use of the problem. Then, this can lead to final product quality problems such as fire. To solve the mechanical connection problems, based on the Datsan of the ignition problem, this paper puts forward some solutions, such as operation, Torque Detection, and Mark re-checking. A method is proposed to improve the reliability and save the cost of the drive product is recommended.
Transformer fault analysis based on rough sets and improved gravity algorithms
Authors: Cheng Chenyang , Wang Xihuai
Published: April 2024

Transformer is one of the most important equipment of power grid, in order to ensure the safe and reliable operation of power grid, the correct diagnosis of transformer fault is very important. Rough set theory is a new field of mathematical science, and it is applicable to many fields, including pattern recognition, machine learning, decision support, process control, and predictive models. Considering the incompleteness and complexity of transformer fault diagnosis data, a fault diagnosis method based on rough set theory and improved gravity algorithm is proposed in this paper.
Analysis of the influence of gear root chamfer radius on the strength of climbing gears
Authors: Liang Tongxin , Ling Aijun
Published: April 2024

For self-elevating units, the lifting locking system is one of the most critical equipment and has important applications in the field of marine engineering. The reliability of the jacking and fixation system is crucial for the safety of the platform, and the jacking and fixation system, the strength of the climbing gear and rack directly affects the reliability of the system. Therefore, optimizing the structural parameters of the climbing gear and rack to enhance their strength has always been a research hotspot in the field of marine engineering. This article uses ANSYS simulation software to model the climbing gear and rack, in order to analyze the impact of gear root chamfer radius on the strength of the climbing gear.
Modeling and simulation of magnetostrictive actuators based on ΔE effect Preisach model
Authors: Gao Xiaohui , Feng Zhipeng , Zhu Haokuan , Tong Saisai
Published: April 2024

Based on the classical Preisach model, combined with the magneto-mechanical coupling effect of Giant magnetostrictive materials (GMM), this paper introduces the Everett function to optimize the classical Preisach hysteresis model and improve its accuracy. By importing dynamic parameters, the dynamic Preisach hysteresis model is established. Combined with the constitutive model of GMM, a dynamic Preisach hysteretic nonlinear magnetostrictive actuator model based on the ΔE effect is established. Then, the finite element simulation is carried out by Comsol software and compared with the theoretical model simulation. The results show that the error between the magnetostrictive strain of the established hysteresis model and the finite element simulation results is less than 100 ppm, which verifies the accuracy of the proposed model. Finally, the curves of magnetic field intensity, magnetic induction intensity, magnetization, magnetostrictive strain and ΔE effect of GMA are obtained by using this model.
Optimal scheduling of blockchain-based virtual power plants considering distribution network congestion
Authors: Nie Kunyue , Zhao Shengnan , Song Haixia , Wang Zhijun
Published: April 2024

The development of renewable energy has brought new challenges to the power system. Virtual power plant based on blockchain is an effective means to solve the problem of new energy consumption. Solving the internal risk of line overload or voltage over-limit of a virtual power plant can make it play a better role. This paper proposes a scheduling method for a virtual power plant based on blockchain, which can solve the congestion problem. Firstly, the scheduling process of a blockchain-based virtual power plant is designed. Secondly, it is discretized as the basis of the congestion management scheme. Thirdly, the price penalty is introduced into the scheduling process to solve the congestion problem. Finally, an example is designed for simulation. The results show that the method can solve the congestion problem while realizing the virtual power plant scheduling.
The impact of different air gap defects in polypropylene coaxial cables on electric field distortion
Authors: Li Qiang , Yang Xu , Zhang Changhong , Fu Qiang , Li Dong , Zhou Weizhen
Published: April 2024

The internal cable will have different air gaps due to various physical influences, and partial discharge caused by air gap defects is the main cause of cable insulation aging. To avoid serious consequences caused by air gap defects, it is crucial to analyze the extent of the impact of early-stage air gaps on the electric field in the cable. In this paper, COMSOL Multiphysics software is used to build a three-dimensional model of the cable, and the insulation material is polypropylene. Different positions and sizes of air gap defects are designed in the model. The electric field distribution inside the cable is obtained through the finite element algorithm, and the degrees of distortion of the electric field under different air gap sizes, positions, and shapes are compared. The results show that the size of the air gap affects the change in the electric field. Air gaps closer to the copper core position produce greater electric field distortion. Additionally, air gaps with larger curvature also result in greater electric field distortion. Based on the conclusion of this study, the influence degree caused by different air gap defects can be determined and provide a basis for the analysis of such faults.
Exponential amplification of the magnetic field in the primordial star-forming cloud
Authors: Hirano Shingo , Machida Masahiro N. , Basu Shantanu
Published: April 2024

In the study of the initial mass function associated with the first generation of stars, known as Population III (Pop III) stars, a fundamental yet unresolved question pertains to the ultimate destiny of the secondary protostars emerging within the accretion disk – specifically, their likelihood of either merging or persisting as distinct entities. Our research concentrates on the magnetic influences affecting the genesis of these first stars under the conditions set by the cosmological initial magnetic field strength. We employ ideal magnetohydrodynamic simulations, utilizing a stiff equation-of-state (EOS) model, to accurately depict the magnetic field structure interconnecting these protostars. We observe that the magnetic field experiences rapid intensification due to the gas near the protostar completing multiple tens of orbital rotations in the initial decade following the formation of the protostar. Concurrently, as mass accretion continues, the region influenced by the significant magnetic field expands outward. This process of magnetic braking effectively curtails the disk fragmentation that would typically occur without a magnetic field. The resulting exponential augmentation of the magnetic field is posited to facilitate the formation of supermassive first stars.
Modeling the Time Dependent Interaction between the Solar Wind and the Local Interstellar Medium with Kinetic Neutral Hydrogen and Helium Atoms
Authors: Fraternale Federico , Pogorelov Nikolai V. , Bera Ratan K.
Published: April 2024

We present recent advancements in our 3D modeling of the interaction between the solar wind and the local interstellar medium (LISM). The latest model results (Fraternale et al., ApJ, 2023) have raised a question about the electron density of the LISM near the heliopause. We have shown that the presence of helium ions leads to a significant underestimation of this parameter compared to the past simulations and Voyager 1 PWS observations. The latter observations, with over 12 years’ worth of LISM data, offers a robust constraint on our models. Here we present additional simulations in support of the idea that the LISM proton density may need to be revised from approximately 0.054 cm–3 to values around 0.07 cm–3 or higher. Additionally, we have developed and successfully tested a new version of the kinetic code suitable for simulating time-dependent solutions.
Numerical modeling of non-equilibrium neutrino radiation field by solving quantum kinetic equation
Authors: Nagakura Hiroki
Published: April 2024

Numerical modeling of neutrino quantum kinetics is a new frontier in the study of core-collapse supernova (CCSN) and binary neutron star merger (BNSM). The noticeable feature in the quantum kinetics is neutrino flavor conversion driven by neutrino self-interactions. Although there remain many unresolved issues in their non-linear properties of flavor conversions, rapid progress has been made in the last few years. In this article, we introduce the current status for the study of collective neutrino oscillations, which are representative characteristics in self-induced flavor conversions, and then we show our recent results: global quantum kinetic simulations in CCSN and BNSM environments.
Advancing parabolic operators in thermodynamic MHD models II: Evaluating a Practical Time Step Limit for Unconditionally Stable Methods
Authors: Caplan Ronald M. , Johnston Craig D. , Daldoff Lars K. S. , Linker Jon A.
Published: April 2024

Unconditionally stable time stepping schemes are useful and often practically necessary for advancing parabolic operators in multi-scale systems. However, serious accuracy problems may emerge when taking time steps that far exceed the explicit stability limits. In our previous work, we compared the accuracy and performance of advancing parabolic operators in a thermodynamic MHD model using an implicit method and an explicit super time-stepping (STS) method. We found that while the STS method outperformed the implicit one with overall good results, it was not able to damp oscillatory behavior in the solution efficiently, hindering its practical use. In this follow-up work, we evaluate an easy-to-implement method for selecting a practical time step limit (PTL) for unconditionally stable schemes. This time step is used to ‘cycle’ the operator-split thermal conduction and viscosity parabolic operators. We test the new time step with both an implicit and STS scheme for accuracy, performance, and scaling. We find that, for our test cases here, the PTL dramatically improves the STS solution, matching or improving the solution of the original implicit scheme, while retaining most of its performance and scaling advantages. The PTL shows promise to allow more accurate use of unconditionally stable schemes for parabolic operators and reliable use of STS methods.
Complex quantum networks: a topical review
Authors: Nokkala Johannes , Piilo Jyrki , Bianconi Ginestra
Published: April 2024

These are exciting times for quantum physics as new quantum technologies are expected to soon transform computing at an unprecedented level. Simultaneously network science is flourishing proving an ideal mathematical and computational framework to capture the complexity of large interacting systems. Here we provide a comprehensive and timely review of the rising field of complex quantum networks. On one side, this subject is key to harness the potential of complex networks in order to provide design principles to boost and enhance quantum algorithms and quantum technologies. On the other side this subject can provide a new generation of quantum algorithms to infer significant complex network properties. The field features fundamental research questions as diverse as designing networks to shape Hamiltonians and their corresponding phase diagram, taming the complexity of many-body quantum systems with network theory, revealing how quantum physics and quantum algorithms can predict novel network properties and phase transitions, and studying the interplay between architecture, topology and performance in quantum communication networks. Our review covers all of these multifaceted aspects in a self-contained presentation aimed both at network-curious quantum physicists and at quantum-curious network theorists. We provide a framework that unifies the field of quantum complex networks along four main research lines: network-generalized, quantum-applied, quantum-generalized and quantum-enhanced. Finally we draw attention to the connections between these research lines, which can lead to new opportunities and new discoveries at the interface between quantum physics and network science.
Preface
Authors: Mangindaan Dave
Published: April 2024

-Ladies and gentlemen,

-Rector of Bina Nusanatara University, Dr. Nelly, S.Kom., M.M., CSCA

-Vice Rector of Research and Technology Transfer, Prof. Dr. Juneman Abraham, S.Psi, M.Psi, CIRR

-Distinguished keynote speakers:

Prof. Pablo La Roche, Cal Poly Pomona University

Prof. Ir. Dr Mohd Khairol Anuar Bin Mohd Ariffin, Universiti Putra Malaysia

Prof. Dr. Ir. Oktovian Berty Alexander Sompie M.Eng, Sam Ratulangi University (UNSRAT), Indonesia

Prof. Julian Cox, University of South Wales, Australia

-Presenters, and all participants.

With a thankful heart, it is my pleasure to welcome you to the 7th International Conference on Eco Engineering Development (7th ICEED 2023). I would like to express my greatest appreciation to your participation, as well as your contribution to the 7th ICEED 2023. As the seventh iteration of ICEED that is organized by Faculty of Engineering, Bina Nusantara University, this year’s ICEED bears the theme of “Eco Engineering Development to Achieve Sustainable Development Goals”. This issue is critical because United Nations targeted the fulfillment of Sustainable Development Goals (SDGs) in 2030. Bina Nusantara University supports completely all actions to achieve the SDGs, where one of them is this 7th ICEED 2023.

List of Organizing Committee are available in this pdf.
Analysis Study of Lateral Bearing Capacity and Deformation of Square and Circular Concrete Piles as an Alternative Structure for Infrastructure Projects
Authors: Suhendra Andryan , Pradita Wiwin
Published: April 2024

Piles are one type of foundation that used to transmit the load acting on a structure to the ground below. The required embedment length value depends on the load acting on the superstructure, pile specifications, and soil type. This study was conducted to analyze the lateral bearing capacity and lateral deformation that occurred on square and circular piles with sizes of 30 cm, 35 cm, 40 cm, 45 cm and 50 cm with embedment lengths from 1 meter to 15 meters. The type of soil under review is cohesive soil. The calculation method used is the Broms’ Method and computer software. The results of the analysis show that the lateral bearing capacity of square piles is greater than that of circular piles. The change in L/d ratio does not affect the magnitude of the lateral bearing capacity of rectangular and circular long piles. The resulting lateral deflection value also does not exceed the allowable limit (2.54 cm).
Intercultural Adaptation of Chinese Culture to The Elements of City Planning on The North Coast of Java (Case Study: Jin De Yuan and Tay Kak Sie Temple)
Authors: Akmalia  , Meliana S , Pramono S , Rihadiani R R , Kharisma H P
Published: April 2024

Intercultural adaptation in Indonesia especially in the northern coastal areas occurred through cultural interaction between immigrants of various ethnicities and the local culture. The Chinese immigrants initially arrived with a mission to open the silk route via waterways and settled in the area by establishing Chinese community and constructing Chinese temples. This research aimed to identify the intercultural adaptation of Chinese culture in the northern coastal Chinese community areas, with a case study of Jin De Yuan Temple in Jakarta and Tay Kak Sie Temple in Semarang. Descriptive analysis was employed with two data collection processes. Secondary data were obtained from literature studies and primary data were gathered through direct observations at the locations. This research adopted an intercultural adaptation perspective with a scale for urban design elements. The findings revealed that both research objects shared similarities in the intercultural adaptation process, particularly in acculturation and assimilation.
Integrated Approach for Early Detection and Prevention of Abnormal Child Growth: A Kansei Design and Quality Function Deployment Study
Authors: Mariana Y , Kristantoputra Valentino H , Pribadi M
Published: April 2024

Sustainable development aims to reduce inequalities, including health inequalities. Focusing on early identification and prevention of growth and developmental disorders, as advocated in the article, contributes to reducing health disparities, which is a key aspect of sustainability. This article delves into the significance of assessing an individual’s physique as an initial diagnostic method for evaluating well-being, addressing both physical and mental health aspects. Body mass index (BMI) is commonly used to assess anthropometric height/weight attributes, aiding in nutrition evaluation and categorization, contributing to the promotion of healthy lives and well-being. The focus lies on growth monitoring for infants and children. The stunting not only impacts mental and physical development but also contributes to lifelong health disparities. Indonesia ranks fifth in global stunting cases. The government aims to reduce stunting by 14% in 2024, employing specific nutritional interventions. Stunting’s consequences span increased illness rates, compromised growth and learning, susceptibility to diseases in adulthood, and diminished productivity. Early identification and prevention are essential, with Posyandu serving as a platform for community-driven health progress. Regarding the early detection of stunting, it is imperative to involve healthcare workers in the design process of growth monitoring tools and interventions. This ensures that these tools and interventions are practical and user-friendly in real-world scenarios. Utilizing user-centered design approaches like Kansei Design Thinking and Quality Function Deployment can lead to the development of more effective and engaging tools and interventions.
Study of deflection of PCI girder bridges using rotation data
Authors: Suangga Made , Pranoto Andreas
Published: April 2024

A bridge is an infrastructure that experiences dynamic and repetitive load for a long period of time, so it is necessary to monitor the condition of the bridge structure to ensure that the bridge is always in a proper condition. This study aims to develop an equation model using multiple regression analysis to establish the relationship between deflection values and rotation values obtained from a PCI girder bridge as a project case study. The results demonstrate that the proposed regression equation accurately estimates the maximum deflection, with an average accuracy rate of 96.4%. The highest level of accuracy is 99.9497 % when the deflection is 0.0606m. The minimum level of accuracy is 86.3821 when the deflection is 0.0346. This result indicated that low accuracy happened at relatively small deflection values of particular load configurations. Thus, this method presents a reliable approach for estimating the maximum deflection based on tiltmeter readings, offering a practical solution with a commendable level of accuracy.
Assessment of passenger safety risk level on the Transjakarta public transportation system
Authors: Budiman I A , Kaitaro K K , Sahroni T R
Published: April 2024

Passenger safety is a crucial factor in public transportation, especially now when people prefer using public transport due to its cost-effectiveness compared to private vehicles. This study aims to identify and assess the hazards that can occur in the passenger cabin of a bus and the procedures to be followed in the event of an accident. The assessment of passenger safety levels is conducted using the Hazard and Operability (HAZOP) and Hazard Identification (HIRADC) methods, which are designed to identify and evaluate these potential hazards. This research, after thorough examination and study, aims to establish new protocols that can further enhance passenger safety. With the actions suggested by the author to ward off all these potential hazards, it is hoped that the hazard level will be reduced from extreme to medium and so on. The research study, “Assessment of Passenger Safety Risk on the Transjakarta Public Transportation System,” has the potential to make a substantial contribution to sustainable transportation. In line with sustainable development goals, it immediately tackles safety concerns in the Transjakarta system, improving all-around safety and promoting public transportation over private vehicles. By lowering accident-related expenses, promoting inclusiveness, and enhancing community well-being, the study also indirectly increases resource efficiency. In essence, it contributes to a more secure, egalitarian, and sustainable urban transportation system while advancing Jakarta’s sustainable mobility strategy by placing safety first.
Apartment with Acoustics Environment Approach in Center Jakarta
Authors: Andrean R , Hendarti R , Sakina B
Published: April 2024

Environmental acoustics have an important architectural role that has a major influence on the productivity, health and sustainability of cities. living and proximity to the workplace have become essential needs for workers and entrepreneurs in today’s era. As many still work using the hybrid system, where workers require a comfortable living space as well as a comfortable workspace to support productivity, meetings and work can be done in the same place. SOHO apartments provide a solution to this problem, but they are prone to acoustic issues due to their open plan and loft concepts. The large volume of space requires special treatment, especially in terms of reverberation time. Excessive reverberation time can disrupt the productivity of residents and workers. A quiet space is needed to support these activities. This study aims to explain how environmental acoustics can improve the quality of a room and increase productivity and healthy through the application of acoustic absorbent material. However, the use of absorbent material is not very good for the environment if its use is not appropriate, therefore the selection of absorbent material must be analyzed carefully, so that what is obtained is PET (Polyethylene Terephthalate) material which supports all aspects of the SOHO apartment’s space needs and also material recycling up to 90%-99% which is good for sustainability. This study uses a combination method of observation and precedent studies. The results of this research involve the application of parameters to address acoustic issues in SOHO apartments and improve the acoustic quality of the space.
The Using of Container For Earthquake Mitigation Shelter In West Jawa
Authors: Meilani  , Herrison Liong William
Published: April 2024

Bandung is a city in West Java. Bandung has unique topography because it is surrounded by volcanoes. This condition causes Bandung to become an earthquake prone area. It is necessary to plan the disaster mitigation if an earthquake occurs. One thing that needs to be planned is a refugee shelter. The shelter must be strong enough to resist the aftershocks and quick to install.and disassemble. Container can be one of the best option for the shelter. This research uses container material as the existing structure that will be tested for resistance to seismic loads (Bandung). Seismic load testing is carried out using the ETABS software following the design requirements according to SNI 1726:2019. There are six variations of the containers arrangement tested for stiffness and strength. All variations of the modified container arrangement meet the requirements for stiffness and strength against earthquake forces according to SNI 1726:2019 regulations.
The Importance of Increasing Public Adoption of Electric Vehicles in Reducing Jakarta’s Air Pollution
Authors: Masruroh Masruroh , Nursanti Tinjung Desy , Irvianti Laksmi Sito Dwi , Limin Irencia
Published: April 2024

In response to growing environmental concerns surrounding renewable energy and the adverse effects of extreme weather patterns on air quality, the Indonesian government has initiated efforts to promote the use of electric vehicles (EVs) as a substitute for conventional automobiles inside the country. Therefore, it is crucial to implement strategies aimed at promoting widespread acceptance and utilization of electric vehicles (EVs) by the general population. The objective of this study was to assess the impact of product innovation and price on the public’s adoption of electric vehicles in Jakarta. This study employed a quantitative descriptive methodology, using an associative approach and utilizing SPSS. The data collection methods involve the use of a questionnaire, with the target population being individuals residing in Jakarta who own automobiles. The findings of the investigation are presented as follows: The findings indicate a strong and statistically significant relationship between product innovation and the level of community adoption of electric vehicles in Jakarta. The hypothesis regarding the relationship between the price variable and the community adoption of electric automobiles in Jakarta has been substantiated. The present study examines the impact of both product innovation and price on the public adoption of electric cars in Jakarta.
Social Space of the Sustainable Communal Dining Room Serving Area in the Social Center for the Visually Impaired Wyata Guna Bandung
Authors: Wasilah Deanawati Insani , Kusumawardhani Seruni
Published: April 2024

Distance is one of the important things in building a social dimension. It is also influenced by the perception of the five human senses. Lack of function of one of the senses can affect human interaction with other humans and with the surrounding environment in the social area. Entering the social area for people with visual disabilities is not an easy thing. In general, people without visual disabilities can determine the extent of their boundaries with other people, they can determine that because of their ability to see, therefore their social area is even wider. In contrast to people with visual disabilities who must touch and hear the surroundings first. People with visual disabilities cannot know the boundaries with social areas because to be able to recognize them they have to get closer first, sometimes even to pass the normal distance of human boundaries in public areas. The existence of a shared dining room can be used as one of the media in training people with visual disabilities to be more prepared to face social areas, a little development is needed both in design and systems that can solve these problems. Therefore, this paper is made with the hope of opening a little insight into what is needed for further development.