A combined Mixed Integer Programming model of seaside operations arising in container ports

This paper puts forward an integrated optimisation model that combines three distinct problems, namely the Berth Allocation Problem, the Quay Crane Assignment Problem, and the Quay Crane Scheduling problem, which have to be solved to carry out these seaside operations in container ports. Each one of these problems is complex to solve in its own right. However, solving them individually leads almost surely to sub-optimal solutions. Hence the need to solve them in a combined form. The problem is formulated as a mixed-integer programming model with the objective being to minimise the tardiness of vessels. Experimental results show that relatively small instances of the proposed model can be solved exactly using CPLEX

Combined quay crane assignment and quay crane scheduling with crane inter-vessel movement and non-interference constraints

Integrated models of the quay crane assignment problem (QCAP) and the quay crane scheduling problem (QCSP) exist. However, they have shortcomings in that some do not allow movement of quay cranes between vessels, others do not take into account precedence relationships between tasks, and yet others do not avoid interference between quay cranes. Here, an integrated and comprehensive optimization model that combines the two distinct QCAP and QCSP problems which deals with the issues raised is put forward. The model is of the mixed-integer programming type with the objective being to minimize the difference between tardiness cost and earliness income based on finishing time and requested departure time for a vessel. Because of the extent of the model and the potential for even small problems to lead to large instances, exact methods can be prohibitive in computational time. For this reason an adapted genetic algorithm (GA) is implemented to cope with this computational burden. Experimental results obtained with branch-and-cut as implemented in CPLEX and GA for small to large-scale problem instances are presented. The paper also includes a review of the relevant literature

Studying the Effect of Cutting Conditions in Turning Process on Surface Roughness for Different Materials

Surfaces quality is one of the most specified customer requirements for machine parts. The major indication of surfaces quality on machined parts is surface roughness. The research aim is to study the cutting conditions and their effects on the surface roughness. This research will use regression models and neuro-fuzzy to predict surface roughness over the machining time for variety of cutting conditions in turning. In the experimental part for turning, different types of materials (Aluminum alloy, brass alloy, and low carbon steel) were considered with different cutting speed, and feed rate. A linear regression and neuro-fuzzy model depending on statistical-mathematical method between surface roughness, Ra, and cutting condition will be derived, for the three materials. The effect of cutting parameters on surface roughness is evaluated and the optimum cutting condition for minimizing the surface roughness will be determined. The model will be established between the cutting conditions and surface roughness using regression and neuro-fuzzy model. As the results of this work, the linear regression and neuro-fuzzy model will be used in predicting surface roughness, can be used in manufacturing systems, this modeling helps engineer to reduce the efforts and improve the quality

Utvikling av laboratorieopplegg for nytt fag: ELE140 Elektronikk

The bachelor's thesis deals with the research, development, and implementation of a device (a shield) that can be used to aid in the educational process for the "Elektronikk" (ELE140) course. The thesis documents the journey and choices taken to bring the final product to life. Two circuit boards were designed as part of this project. The shield board, designed to provide an interface with the STM32 Nucleo-F103RB development board while being inline with the educational goals and outcomes for the ELE140 course, and an oscillator circuit board, designed to provide the development board with the required clock signal, making the shield fully autonomous, thereby eliminating the need for the development board to be connected to a computer. The theoretical part introduces the concepts of oscillator circuitry and details the scientific principles behind crystal oscillators. Followed by the hardware technicalities, choices, and design considerations. which was then linked to expected learning outcomes for the ELE140 course. The shield was then thoroughly tested, making sure that it adheres to industry standards and it is safe to be operated in a lab environment. This included software configuration and hardware functionality tests in lab-like conditions.The bachelor's thesis deals with the research, development, and implementation of a device (a shield) that can be used to aid in the educational process for the "Elektronikk" (ELE140) course. The thesis documents the journey and choices taken to bring the final product to life. Two circuit boards were designed as part of this project. The shield board, designed to provide an interface with the STM32 Nucleo-F103RB development board while being inline with the educational goals and outcomes for the ELE140 course, and an oscillator circuit board, designed to provide the development board with the required clock signal, making the shield fully autonomous, thereby eliminating the need for the development board to be connected to a computer. The theoretical part introduces the concepts of oscillator circuitry and details the scientific principles behind crystal oscillators. Followed by the hardware technicalities, choices, and design considerations. which was then linked to expected learning outcomes for the ELE140 course. The shield was then thoroughly tested, making sure that it adheres to industry standards and it is safe to be operated in a lab environment. This included software configuration and hardware functionality tests in lab-like conditions

An evolutionary approach to a combined mixed integer programming model of seaside operations as arise in container ports

This paper puts forward an integrated optimisation model that combines three distinct problems, namely berth allocation, quay crane assignment, and quay crane scheduling that arise in container ports. Each one of these problems is difficult to solve in its own right. However, solving them individually leads almost surely to sub-optimal solutions. Hence, it is desirable to solve them in a combined form. The model is of the mixed-integer programming type with the objective being to minimize the tardiness of vessels and reduce the cost of berthing. Experimental results show that relatively small instances of the proposed model can be solved exactly using CPLEX. Large scale instances, however, can only be solved in reasonable times using heuristics. Here, an implementation of the genetic algorithm is considered. The effectiveness of this implementation is tested against CPLEX on small to medium size instances of the combined model. Larger size instances were also solved with the genetic algorithm, showing that this approach is capable of finding the optimal or near optimal solutions in realistic times

Isolation and Purification of Chickpea (Cicer arietinum) Seeds Protein, Testing Their Antibacterial Activity, and Using to Extend The Shelf Life of Beef Patties

Antimicrobial proteins (AMP) from chickpea (Cicer arietinum L.) seeds were isolated and purified using the saturation of (NH4)2So4 by 80% and gel filtration through Sephacryl S-200, the inhibition zone of the separated peak was 24, and 22 mm for growth of Escherichia coli and Salmonella typhimurium respectively. The molecular mass was 28385 Da estimated through Sephacryl S-200. The optimum pH for activity was 5.5. It was stable at 4.5-7.5, while it lost 21.07 and 55.65% from its activity at pH  3 and 8 respectively, the optimum temperature for activity was 35°C and it was stable at 35°C for 60 min, while it lost all inhibitory activity at 65°C for the same time. The use of AMP at 100 mg resulted in an inhibition zone of 37± 2.92, 35±1.68, 32±2.33, and 33±2.09 mm, with a significant difference at (P≤0.05) against E. coli and S. Typhimurium, Staphylococcus aureus, and Bacillus cereus, respectively. The use of AMP to extend the shelf life of beef patties at 100 mg.kg-1 resulted in a decrease in the total count of bacteria, as it reached 7.4×102±0.18, 4.6×102±0.22 and 2.8×102±0.19 CFU.g-1, while it was 7.4×102±0.23, 8.2×102±0.31, and 9.5×102±0.27 CFU.g-1 in the control sample during a storage period of 0, 3, and 6 d at 4°C. It was observed that there was no significant difference in the control treatment and AMP added on 0 d, while a significant difference was observed at (P≤0.05) for treatments at a storage period of 3 and 6 d at 4°C

Isolation and Purification of Chickpea (Cicer arietinum) Seeds Protein, Testing Their Antibacterial Activity, and Using to Extend The Shelf Life of Beef Patties

Antimicrobial proteins (AMP) from chickpea (Cicer arietinum L.) seeds were isolated and purified using the saturation of (NH4)2So4 by 80% and gel filtration through Sephacryl S-200, the inhibition zone of the separated peak was 24, and 22 mm for growth of Escherichia coli and Salmonella typhimurium respectively. The molecular mass was 28385 Da estimated through Sephacryl S-200. The optimum pH for activity was 5.5. It was stable at 4.5-7.5, while it lost 21.07 and 55.65% from its activity at pH  3 and 8 respectively, the optimum temperature for activity was 35°C and it was stable at 35°C for 60 min, while it lost all inhibitory activity at 65°C for the same time. The use of AMP at 100 mg resulted in an inhibition zone of 37± 2.92, 35±1.68, 32±2.33, and 33±2.09 mm, with a significant difference at (P≤0.05) against E. coli and S. Typhimurium, Staphylococcus aureus, and Bacillus cereus, respectively. The use of AMP to extend the shelf life of beef patties at 100 mg.kg-1 resulted in a decrease in the total count of bacteria, as it reached 7.4×102±0.18, 4.6×102±0.22 and 2.8×102±0.19 CFU.g-1, while it was 7.4×102±0.23, 8.2×102±0.31, and 9.5×102±0.27 CFU.g-1 in the control sample during a storage period of 0, 3, and 6 d at 4°C. It was observed that there was no significant difference in the control treatment and AMP added on 0 d, while a significant difference was observed at (P≤0.05) for treatments at a storage period of 3 and 6 d at 4°C

3D Real-Time Echocardiography Combined with Mini Pressure Wire Generate Reliable Pressure-Volume Loops in Small Hearts

BACKGROUND: Pressure-volume loops (PVL) provide vital information regarding ventricular performance and pathophysiology in cardiac disease. Unfortunately, acquisition of PVL by conductance technology is not feasible in neonates and small children due to the available human catheter size and resulting invasiveness. The aim of the study was to validate the accuracy of PVL in small hearts using volume data obtained by real-time three-dimensional echocardiography (3DE) and simultaneously acquired pressure data. METHODS: In 17 piglets (weight range: 3.6–8.0 kg) left ventricular PVL were generated by 3DE and simultaneous recordings of ventricular pressure using a mini pressure wire (PVL3D). PVL3D were compared to conductance catheter measurements (PVLCond) under various hemodynamic conditions (baseline, alpha-adrenergic stimulation with phenylephrine, beta-adrenoreceptor-blockage using esmolol). In order to validate the accuracy of 3D volumetric data, cardiac magnetic resonance imaging (CMR) was performed in another 8 piglets. RESULTS: Correlation between CMR- and 3DE-derived volumes was good (enddiastolic volume: mean bias -0.03ml ±1.34ml). Computation of PVL3D in small hearts was feasible and comparable to results obtained by conductance technology. Bland-Altman analysis showed a low bias between PVL3D and PVLCond. Systolic and diastolic parameters were closely associated (Intraclass-Correlation Coefficient for: systolic myocardial elastance 0.95, arterial elastance 0.93, diastolic relaxation constant tau 0.90, indexed end-diastolic volume 0.98). Hemodynamic changes under different conditions were well detected by both methods (ICC 0.82 to 0.98). Inter- and intra-observer coefficients of variation were below 5% for all parameters. CONCLUSIONS: PVL3D generated from 3DE combined with mini pressure wire represent a novel, feasible and reliable method to assess different hemodynamic conditions of cardiac function in hearts comparable to neonate and infant size. This methodology may be integrated into clinical practice and cardiac catheterization programs and has the capability to contribute to clinical decision making even in small hearts

THE THERAPEUTIC EFFECT OF COMBINED AQUEOUS EXTRACT OF CORIANDER SATIVUM L. AND ALLIUM SATIVUM L. ON THE MERCURIC CHLORIDE INDUCED REPRODUCTIVE TOXICITY IN ADULT MALE RATS

The present study was undertaken to investigate the ability of antioxidants Coriander sativum L . (cilantro ) and Allium sativum L.(garlic ) to protect against mercuric chloride induced reproductive toxicity in male rats .A sub Lethal chronic exposure (0.12mg/kg B.W mercuric chloride )resulted in a decrease of body weight, testicular weight and testosterone hormone with regressed histological properties of testis , epididymis and pre - cancerous changes in epididymis .These changes were ameliorated with the administration of cilantro and garlic .The results of our study suggested that the mentioned antioxidants exert significant protection against mercuric chloride induced male reproductive toxicity and provide a strong evidence for the beneficial role of antioxidant vegetables in prevention of mercury toxicit

Anomaly-Based Intrusion Detection Model Using Deep Learning for IoT Networks

The rapid growth of Internet of Things (IoT) devices has brought numerous benefits to the interconnected world. However, the ubiquitous nature of IoT networks exposes them to various security threats, including anomaly intrusion attacks. In addition, IoT devices generate a high volume of unstructured data. Traditional intrusion detection systems often struggle to cope with the unique characteristics of IoT networks, such as resource constraints and heterogeneous data sources. Given the unpredictable nature of network technologies and diverse intrusion methods, conventional machine-learning approaches seem to lack efficiency. Across numerous research domains, deep learning techniques have demonstrated their capability to precisely detect anomalies. This study designs and enhances a novel anomaly-based intrusion detection system (AIDS) for IoT networks. Firstly, a Sparse Autoencoder (SAE) is applied to reduce the high dimension and get a significant data representation by calculating the reconstructed error. Secondly, the Convolutional Neural Network (CNN) technique is employed to create a binary classification approach. The proposed SAE-CNN approach is validated using the Bot-IoT dataset. The proposed models exceed the performance of the existing deep learning approach in the literature with an accuracy of 99.9%, precision of 99.9%, recall of 100%, F1 of 99.9%, False Positive Rate (FPR) of 0.0003, and True Positive Rate (TPR) of 0.9992. In addition, alternative metrics, such as training and testing durations, indicated that SAE-CNN performs better