Engineering Commons^™

Design And Development Of A Pineapple Peeling Machine, Dare E. Ibiyeye, Oluwatoyin O. Olunloyo, Oluwatosin A. Adesida, Taiye R. Afolabi, Abisayo O. Akala, Funmilayo B. Okanlawon

Journal of Bioresource Management

The objective of this research aimed to design, modify and develop a manually operated cost effective pineapple peeling and coring machine with a reduced time of operation, easy to operate and maintain. The material of construction is stainless steel. The designed pineapple peeling and coring machine has two cylindrical cutting blades which simultaneously removes pineapple skin and core. Other components included; spring coring plate, core remover, and spring loaded handle. The peeling operation includes; cutting of crown and bottom of pineapple with a knife, placing pineapple on coring plate and applying pressure to spring loaded handle downward over the pineapple …

Preparation Of Β-Ni (Oh)2 Nanosheet–Modified Glassy Carbon For Pseudocapacitors, Muhammad Buchari Setia Putra, Aliyah Aliyah, Afiten Rahmin Sanjaya, Respati Kevin Pramadewandaru, Hoeil Chung, Tribidasari Anggraningrum Ivandini

Makara Journal of Science

β-Nickel hydroxide (Ni(OH)₂) nanosheet–modified glassy carbon for pseudocapacitors was successfully prepared. The nanosheets were synthesized via a conventional growth seeding method combined with hydrothermal treatment. Transmission electron microscopy (TEM) characterization indicated the hexagonal structure of the nanosheets of around 15 nm in size, and X-ray diffraction (XRD) pattern confirmed the β-phase lattice crystal. These nanosheets used to modify the glassy carbon surface, increased the electroactive surface area by around 15 times. Furthermore, electrochemical investigation of the modified glassy carbon revealed an excellent performance and a specific capacitance of 628.01 F g⁻¹ at a 1 A g^{−1 …}

Optimizing The Expression Of Polyethylene Terephtalate Hydrolase-Encoding Synthetic Gene In Escherichia Coli Arctic Express (De3), Jocelyn Nataniel, Maria Ulfah, Dini Achnafani, Niknik Nurhayati, Gabriela Christy Sabbathini, Sri Rezeki Wulandari, Abinawanto Abinawanto, Is Helianti

Makara Journal of Science

The waste of polyethylene terephthalate (PET) plastic waste in Indonesia is a pressing concern due to its slow degradation and potential environmental damage. One promising solution is to utilize polyethylene terephthalate hydrolase from Ideonella sakaiensis (IsPETase), an enzyme that specifically degrades PET. However, inducing the expression of IsPETase synthetic gene in Escherichia coli BL21 (DE3) has been challenging because much of it remains insoluble. This study aimed to express IsPETase in E. coli Arctic Express (DE3) and optimize the conditions to enhance its production. First, pET22b(+)pelB-IsPETase was inserted into E. coli Arctic Express (DE3). The …

Final Report - Autonomous Ultrasonic Thickness Measurement By A Magnet-Wheeled Robot, Yang Wang, Hung Manh La, Yu Otsuki, Son Thanh Nguyen

Project SN-6

This project develops a compact ultrasonic thickness sensing device that is integrated with a steel-climbing bicycle robot for autonomous thickness measurement of steel bridge members. With wireless communication capability, the ultrasonic sensing device can perform high-voltage pulse excitation, filtering and amplification of the received ultrasonic signal, and high-speed analog-to-digital conversions (up to 80 MHz). After successful validations of the device, it is integrated into a bicycle-like robot with two magnetic wheels controlled by two independent steering actuators that navigates on various steel surfaces (flat, curved, rough, concave, and convex). Along with the wireless ultrasonic sensing device, the robot carries a …

Appraising Critical Success Factors In Sustainable Housing Projects: A Comparative Study Of Ppp Modalities In Saudi Arabia, Ahmed Gouda Mohamed

Civil Engineering

This study examines the critical success factors (CSFs) crucial for the effective deployment of public-private partnership (PPP) models in sustainable housing projects in the Kingdom of Saudi Arabia (KSA), underpinning the nation's Vision 2030. Through a robust methodology that incorporates a profound literature review, structured interviews, and a survey involving key stakeholders, the study prioritizes fourteen significant CSFs integral to PPP efficacy. Employing Analytical Hierarchy Process analysis, key outcomes underscore the paramount importance of technical aspects with an emphasis on sustainability, tailoring risk-sharing and allocation to encompass green technologies and eco-friendly practices, and economic stability in the light of long-term …

Final Report - Smart Sounding System For Autonomous Evaluation Of Concrete And Metallic Structures, Anil K. Agrawal, Deepak Kumar

Project IM-3

Recent research by the authors has shown that the sounding, such as chirp signal, can be generated by electronic speakers, and their magnitude and frequency can be controlled. Unlike mechanical impact hammers, the electronic sounding is consistent and can be designed with controlled frequency characteristics to excite defects in concrete decks. Another significant limitation of mechanical impact hammers is that the bottom of a deck cannot be conventionally sounded, and determination of precise location of the damaged area is a challenge. To address these limitations, a “smart sounding system” has been developed that can be used to inspect the underdeck …

Final Report - Data-Driven Risk-Informed Bridge Asset Management And Prioritization Across Transportation Networks, Iris Tien, Yijian Zhang

Project RR-2

This project aims to transform inspection data into risk-informed decision-making, leading to two main advancements. First, a new method is developed to account for the combined effect of soil stress history and scour hole on laterally and axially loaded piles in sand and clay. The methodology is validated with results from field tests for no-scour scenarios and verified with numerical models for scour scenarios. Quantification of the soil effects is investigated through lateral pile deflection and load-settlement curves for lateral and axial behaviors, respectively. Stress history increases up to 34.1% and 61.1% in estimated pile settlement for sand and clay, …

Algorithms And Models For Synthesis Of Elements Of Digital Information Systems, Odil Abdujalilovich Jumaev, M.T. Ismoilov, V.B. Pulatov, G.X. Rashidov

Chemical Technology, Control and Management

The development of algorithms for noise-tolerant and high-speed measurement systems involves an integrated approach that encompasses methods of data processing and transmission, as well as mechanisms for rapid response to changes. This paper presents the key principles and techniques used in such technologies. The information systems are thoroughly analyzed, including the use of signal processing techniques and their identification, filtering using various statistical techniques to determine signal parameters and the development of algorithms to analyze and classify signals. Critical aspects of the system such as performance, reliability, security and scalability are also evaluated. The paper discusses information system structures and …

Ultrasonic Flow Meter Calibration Via The Internet Using An Analog-To-Digital Converter, Aliev Ravshan, A.U. Djalilov

Chemical Technology, Control and Management

The purpose of scientific research work is remote control of improving the metrological properties of the water flow measuring device. Therefore, the Arduino platform with an additional ESP8266 NodeMcu v3 and analog-to-digital converter, module was installed in the scientific article for automatic calibration/checking of ultrasonic flow meters used in irrigation networks. The module is integrated into a 32-bit microcontroller with low power consumption. The ESP8266 NodeMcu v3 module operates at 80 and 160 MHz clock frequencies, supports real-time operating system (RTOS), built-in Wi-Fi, and has a microstrip antenna on board. Through this, the data exchange between the computing equipment and …

Research Of The Fuzzy Control System For Adjusting Thread Tension During The Warping Process, To'xtamurod Hayitmurodovich Avezov, Zokhid Ergashboyevich Iskandarov

Chemical Technology, Control and Management

The paper considered issues of research into a fuzzy control system for the warping process. During the warping process, the reasons that cause defects in the final finished product have been studied, firstly (remove this word) which are thread breakage, thread tangling, the formation of loops on or under the belt, hanging loose threads and similar factors. To study the warping process, its mathematical model is constructed. Kinematic parameters of stationary movement corresponding to the equilibrium mode were determined by solving the nonlinear functional matrix - equation of movement. The process of breakage the warp of the threads under oscillation …

Title: List Of 132 Papers Citing One Or More Skin Lesion Image Datasets, Neda Alipour, Ted Butke, Jane Courtney

Other resources

This document is provided as a supplementary digital resource to accompany the article Skin Type Diversity in Skin Lesion Datasets: A Review. The following list contains 132 papers that were identified during a systematic review of papers that use one or more skin lesion image datasets. A partial list of these papers appears in Table 1 of the aforementioned article. The full list is provided here for reference.

Wearable Alcohol Monitoring Device For The Data-Driven Transcutaneous Alcohol Diffusion Model, Ahmed Hasnain Jalal, Sepehr Arbabi, Mohammad A. Ahad, Fahmida Alam, Md. Ashfaq Ahmed

Electrical and Computer Engineering Faculty Publications

Wearable alcohol monitoring devices demand noninvasive, real-time measurement of blood alcohol content (BAC) reliably and continuously. A few commercial devices are available to determine BAC noninvasively by detecting transcutaneous diffused alcohol. However, they suffer from a lack of accuracy and reliability in the determination of BAC in real time due to the complex scenario of the human skin for transcutaneous alcohol diffusion and numerous factors (e.g., skin thickness, kinetics of alcohol, body weight, age, sex, metabolism rate, etc.). In this work, a transcutaneous alcohol diffusion model has been developed from real-time captured data from human wrists to better understand the …

Research Of A New Technological Flowsheet Parameters For Uranium Mining From Technogenic Uranium Ores, Nazarov Jamol, G.M. Allaberganova, H.L. Pulatov, A.M. Muzafarov

Chemical Technology, Control and Management

This paper presents the results of a study of the parameters of a new technological scheme for the extraction of uranium from technogenic uranium ores. The results of the analytical determination of the concentration of parent - ²³⁸U and daughter radionuclides - ²³⁴U , ²³⁰Th , ²²⁶Ra , ²²²Rn , ²¹⁸Pa , ²¹⁴Pb , etc. are presented . in the studied technogenic uranium ores. The principal scheme of the new uranium extraction technology from technogenic uranium ores is presented. The use of the classifier in a new scheme for separating granules of technogenic …

Assessment Of Metrological Errors Of Recognition Metrics In The Intelligent Control And Regulation System Of The Cotton Harvesting Machine, Erkin Uljaev, Utkirjon Murodillaevich Ubaydullaev, Azizjon Abdulla Ugli Abdulhamidov

Chemical Technology, Control and Management

This article presents a method for assessing the error of metrics of an intelligent system for monitoring and regulating the width of the working gap of the harvesting apparatus of a cotton picker. To assess the error, the calculation of the average value of the standard deviation of metrics, absolute systematic and random errors, as well as absolute and relative total errors are used. The results of these calculations will allow us to determine the accuracy of the recognition system and opportunities for its improvement.

Control And Management Of The Balance Of Active And Reactive Power In A Power Supply System With A Solar Power Plant, Narzullo Nuriddinovich Mirzoyev, Siroj Sobirovich Nurov

Chemical Technology, Control and Management

This article discusses the development of a measurement and control system for monitoring and managing the balance of active and reactive power at power plants based on “Green” energy sources. Monitoring and management of the balance of active and reactive power based on a measurement and control system, calculated expressions are developed to solve the problem of reactive power compensation when transmitting electricity at power plants based on “green” energy sources. Reactive power is calculated based on measured active power, and combined reactive power sources generate the reactive power required by the network based on control signals. Schemes for connecting …

Environmental Monitoring And Control System Of Greenhouse Based On Internet Of Things Technology, Ru Jiang, Nadirbek Yusupbekov

Chemical Technology, Control and Management

Greenhouse is an important application scene of modern agriculture. In this paper, a set of greenhouse environmental monitoring, facility remote control and production management system is designed and implemented based on Internet of Things technology for the development needs of modern agriculture in greenhouse. The system selects STM32F407 control board as the main controller to realize real-time monitoring of greenhouse environmental parameters including temperature and humidity, soil nutrients, soil pH and other greenhouse environmental information, and can adjust greenhouse environmental parameters by controlling the irrigation system, roller shutters, fans, shading curtains and other facilities in the greenhouse. The main controller …

Structural And Parametric Identification Of Recycling Systems, Khusan Igamberdiev, Madina Mirxalilovma Fozilova

Chemical Technology, Control and Management

The issue of identifying recirculation systems with a specific control loop, in which information and control information about various technological processes circulate, is being considered. A methodology for identifying recirculation systems has been developed, based on algorithms for structural identification of the model based on the results of assessing the sensitivity of the optimum of control parameters and a fuzzy inference algorithm based on production rules that contribute to solving the problem of parametric identification.

Synthesis Of An Adaptive Neuro-Fuzzy Control System For Steam Generator Temperature, Isomiddin Xakimovich Siddikov, Dilnoza Maxamadjanovna Umurzakova

Chemical Technology, Control and Management

This paper is devoted to the modeling and synthesis of an adaptive neuro-fuzzy control system for steam generator temperature. Temperature control systems play an important role in industry because accurate and stable control is a prerequisite for the efficient operation of steam systems. Traditional control methods based on mathematical models and fixed parameter controllers may have limitations in providing optimal performance and adapting to changing operating conditions. The paper proposes a synthesized system combining fuzzy logic and adaptation methods to achieve more accurate and stable temperature control. A detailed structural diagram of the system, modeling, and tuning methods are presented. …

Decision-Making Algorithms For Drilling Instrument Control Systems, Fuzayl Fozil Ugli Odilov

Chemical Technology, Control and Management

The control of the movement of the drilling tool and the structure of the well are considered. An effective control algorithm for drilling systems that provides control of well trajectory parameters is analyzed. In technological processes, it is necessary to control several parameters or several systems at the same time. It is considered necessary to create decision-making algorithms for the formation of managerial effects for the control system of such technological processes. The controlled oriented type of the bottom of the drill string was analyzed. Work was carried out on the decision-making algorithm for the processing of control effects. The …

Using A Neural Network To Remove Noise From Images, Anvar Asatilloyevich Ravshanov

Chemical Technology, Control and Management

This article proposes modern approaches to the problem of noise reduction in images using neural networks and also analyses the possibilities of noise reduction using neural networks. The convolutional neural network model and the Mediana, Sobel filter were considered for image denoising. The quality improvement of the trained neural network and the comparison with classical noise reduction methods have been carried out.

Simulation Of Rice Disease Recognition Based On Improved Attention Mechanism Embedded In Pr-Net Model, Yang Lu, Pengfei Liu, Siyuan Xu, Qiwang Liu, Fuqian Gu, Peng Wang

Journal of System Simulation

Abstract: Aiming at the low accuracy of existing CNN models in identifying rice leaf diseases, a hybrid convolutional neural network model PRC-Net (parallel residual with coordinate attention network) combining parallel structure and residual structure is proposed. A parallel structure is introduced to improve the receptive field of convolution, and the residual structure is combined to achieve the complete and continuous transmission of feature information. An improved spatial attention mechanism is embedded into the backbone model PR-Net to enhance the degree of aggregation of lesion feature information at different scales. In order to further improve the accuracy of disease identification and …

Just-In-Time Learning Energy Consumption Predictive Modeling Method In Multi-Condition Production Process, Sheng Wei, Yan Wang, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the problem that the global energy consumption prediction model is only suitable for part of the prediction sample and the model is computationally intensive, the idea of just-in-time learning is introduced, and the local weighted partial least squares method combined with the energy consumption model is used to establish a temporary local energy consumption prediction model. The inertia weights of the particle swarm algorithm are improved, considering the effects of particle fitness, number of iterations and population size on the convergence speed and convergence accuracy of the particle swarm algorithm, a nonlinear change adaptive inertia weight strategy …

Completion Time Simulation Prediction Method For Aircraft Assembly Process With Batch And Sortie, Changjian Jiang, Hu Fan, Tao Luo, Wen Yuan, Zehao He

Journal of System Simulation

Abstract: Aiming at the product differentiation analysis limitation of traditional discrete event simulation method, a simulation prediction method for aircraft assembly process with batch and sortie is proposed. Around the aircraft sortie number, the formal definition of various basic elements and interactions in the assembly process with batch and sortie is studied, and the construction of station and whole line simulation model is carried out. The simulation promotion framework and execution mechanism supporting the product differentiation analysis are studied. Based on the simulation results, a method for predicting the completion time of sorties based on interval estimation method is proposed. …

Adaptive Pid Control Algorithm Based On Ppo, Zhiyong Zhou, Fei Mo, Kai Zhao, Yunbo Hao, Yufeng Qian

Journal of System Simulation

Abstract: A six-axis robotic arm is built and simulated in a complex control environment with disturbances by using MATLAB physics engine and Python, which provides a trial-and-error environment for the robotic arm training that could not be provided in reality. Proximal policy optimization(PPO) algorithm in reinforcement learning is proposed to improve the traditional PID control algorithm. By introducing the multi-agent idea and on the basis of the different effects of the three parameters of PID on control system and the characteristics of the six-axis robotic arm, the three parameters are separately trained as different intelligent individuals to achieve a new …

Fusing Rotation Angle Coding In Spherical Space For Human Action Recognition, Benyue Su, Bangguo Zhu, Mengjuan Guo, Min Sheng

Journal of System Simulation

Abstract: The existing human action recognition methods focus more on the translation information such as the coordinates and displacements of skeleton structure, and pay less attention to the motion trend of skeleton structure and the rotation information representing the motion direction of joints and bones. A spatio-temporal convolutional neural network method combining the rotation angle coding in spherical space is introduced. The angle information with scale invariance is obtained by mapping the human action in three-dimensional spherical space, and the dynamic angular velocity information is extracted as the angle code to represent the rotation information of joints and bones in …

Design Of Real-Time Simulation & Test Software Based On Windows/Rtx, Yongbo Li, Runmei Tian, Hui Zhang, Shanpeng Guo, Qi Li

Journal of System Simulation

Abstract: Aiming at the limited real-time performance of traditional test software and the low generality of traditional simulation interface software, a real-time simulation software based on Windows/RTX is designed to meet the requirements of unit testing and control system simulation verification of semiphysical simulation software. Through modular design, GUI layer human-computer interface and RTX layer real-time operation program are developed. To ensure the real-time, the lock-free cyclic buffer plus dual-threading technology is used to solve the timeout problem of serial data transmission and reception when the simulation step size is 1 ms under RTX environment. A timeout detection algorithm is …

Cooperative Ant Colony Algorithm Combining Evaluation Reward And Punishment Mechanism And Neighborhood Dynamic Degradation, Yujie Wang, Xiaoming You, Sheng Liu

Journal of System Simulation

Abstract: To address the slow convergence and the tendency to fall into local optimality in solving TSP, a cooperative ant colony algorithm combining evaluation reward and punishment mechanism and neighborhood dynamic degradation (ENCACO) is proposed. The paths are classified into active and abandon paths according to the path evaluation value, and with the path evaluation value as the weight, the different pheromone reward and punishment strategies are adopted for the two types of paths to accelerate the convergence speed of the algorithm. Through the neighborhood dynamic degradation strategy, and the neighborhood radius is used to divide the set of cities …

Construction Of A Virtual Interactive System For Orchards Based On Digital Twin, Hongjun Wang, Junqiang Lin, Xiangjun Zou, Po Zhang, Mingxuan Zhou, Weirui Zou, Yunchao Tang, Lufeng Luo

Journal of System Simulation

Abstract: Aiming at the low visibility, poor real-time, weak adaptability and single interaction mode in orchard planting management system, a six-dimensional model of orchard digital twin system for planting management process is proposed. The system model construction theory and technology system is discussed from four aspects, entity modeling of management elements, dynamic modeling of management process, simulation modeling of management system and optimization modeling of management strategy. Based on the six-dimensional model, supported by the theory and technology system, the virtual interactive system architecture of the orchard based on the digital twin is designed, and the key technologies of the …

Development Of Jetty Structure Design Procedures At The Schematic Design Stage With The Implementation Of Computational Design And Building Information Modelling To Improve Design Time Performance, Aidil Fitriansyah, Yusuf Latief

CSID Journal of Infrastructure Development

The construction sector faces persistent productivity challenges, significantly hindering the efficiency of design workflows. Computational Design (CD) and Building Information Modeling (BIM) offer potential solutions. CD enables the exploration of parametric design alternatives, while BIM enhances collaboration, visualization, and decision-making through comprehensive 3D models. This study aimed to investigate the processes and activities involved in the structural design of jetties during the schematic design phase using CD and BIM and to assess the impact of these activities on design time performance. A comprehensive analysis of secondary data was carried out, interviews were conducted with design experts, and quantitative analysis using …

Advancing Construction Practices: Innovations, Efficiency, And Safety In The Digital Era, Mohammed Ali Berawi, Perdana Miraj, Mustika Sari

CSID Journal of Infrastructure Development

In the ever-changing landscape of the construction industry, digital tools and procedures are a cornerstone of architectural and engineering practices. Building Information Modeling (BIM) and other computational design methodologies transform how projects are imagined, planned, and executed. These tools improve design precision while allowing real-time collaboration across different teams. As a result, adopting digital approaches is no longer an option but rather a requirement for remaining competitive in the construction industry. These innovative approaches provide an in-depth understanding of project complexities, drive design optimization, and contribute to resource management efficiency.

Construction efficiency has also improved due to lean manufacturing processes …