Application of Computer Load Optimization Model in an Aircraft Load Planning Process

The efficiency of a container terminal depends primarily on the smooth and orderly process of handling containers, especially during the ship's loading procedure. The loading plan is mainly determined by two considerations: ship stability and minimum number of rehandles required. These two basic considerations are often in conflict. Most containerships have a cellular structure, imposing a strong restriction on the order of the container loading sequence. To preserve a ship's stability, some containers may be stowed in a ship hold in middle vertical locations. A similar loading problem exists in the stacking of yard containers. If these containers are stacked in the yard under others which are to be picked up later, then the loading process requires a number of container rehandles. This paper is concerned with a ship's container load planning which satisfies these two considerations and minimises the number of rehandles.

Optimal cargo container loading plans under stochastic demands for air express carriers

This study aims to know and understand the labels of aged cargo labels, understand the handling of hazardous cargo on board, and understand the principles of loading principles in relation to the protection of ships, mautan and crew and also know about handling fires caused by hazardous cargo on board and handling patterns in the event of a fire caused by hazardous cargo. The impact arises due to the crew not understanding the labels of dangerous mautan, as well as the arrangement or placement of cargo in containers that do not pay attention to the segregation table that has been regulated in the IMDG Code. Causing cargo to be contaminated, causing fires, container leaks. Meanwhile, if in the loading process does not correctly understand the loading principles that exist, especially in the loading of dangerous goods. It needs special handling that will endanger the ship, cargo, even the crew of the ship itself. The role and understanding of the dangerous cargo of the crew, especially the skipper and the first crew responsible for the loading of the sangant, is important. Both during loading preparation by making a loading plan, during loading, and during unloading. Literature and documentation studies, as well as descriptive data in the form of writings from several sources. The results of the discussion can be concluded even maximum loading management such as the preparation of loading plans, loading that pays attention to the segregation table by referring to the nature of dangerous goods in accordance with the good IMDG Code when loading loads in large quantities in the container carried out by the crew will be achieved shipping safety, ship safety, cargo and also the crew itself. The pattern of handling emergencies when the ship contains good dangerous cargo, by referring to the IMDG Code and Emergency Response Guidebook (ERG) will be able to minimize property losses, namely ship damage, cargo damage, and even life losses can be minimized. Shipping safety is the main objective that we want to achieve in every freight shipping operation including dangerous goods cargo.

The article deals with the issues of increasing the efficiency of using vehicles at the enterprise, considering changes in the transport services market in connection with the pandemic and the current political and economic situation. The paper substantiates the importance of transport activities for a logistics company engaged in the transportation of containers in the Far East. The paper presents a rationale for calculating the period for replacing vehicles and updating the fleet to organize maintenance of the company's increasing cargo traffic, ways to improve the efficiency of using the company's fleet are considered.

Optimization of rail transport is complex because of the industry’s multiple constraints. The transport of containers is very particular since it is characterized in addition to its specificities as a product to be loaded and transported by a strong instability of the demand. So far research in this area has dealt only with the separate treatment of the train load and transport problem. The present study focuses on optimizing resources facing unstable demand for the combined problem. Mathematical models are proposed to assign customers demands to wagons and for railcars allowance per axis depending on the available park, the locomotive capacity and the train length. An algorithm for the train load problem is also suggested. The models have been tested to measure their efficiency by comparing them to an existing train planning model and to manual assignment adopted in the rail industry. Some test results are finally reported to show how a novel formulation can simplify the resolution of a complex problem.

KJ3 is the first system which incorporates theorem proving techniques with the Petri Net description scheme for knowledge validation of rule based systems (RBSs). By converting the validation tasks of RBSs to reachability problems of Enhanced High-level Petri Net (EHLPN), KJ3 performs validation by proving if the hypothetical reachability problem is true. The establishment of the hypothesis corresponds to the achievement of the validation tasks. Since the properties of RBSs, such as refraction, conservation of facts, variables, closed world assumption, and negative information, can be properly represented and handled by EHLPN, different types of RBSs can be processed in KJ3. Since checking user specifications becomes investigating the reachability problems of EHLPN, all types of validation tasks can be handled by KJ3. The validation results can be directly extracted from the inference process to allow the users to explain the validation results. The inference process is mathematically traceable, sound, and complete, KJ3 guarantees that the validation outcome is reliable.

Resilience measurement and dynamic optimization of container logistics supply chain under adverse events

The study examined the detection of attacks against computer networks, which is becoming a harder problem to solve in the field of Network security. A problem with current intrusion detection systems is that they have many false positive and false negative events. Most of the existing Intrusion detection systems implemented depend on rule-based expert systems where new attacks are not detectable. In this study, optimization algorithms were added to intrusion detection system to make them more efficient. Self Organizing Migrating Genetic Algorithm (SOMGA) was integrated into intrusion detection system to obtain a more efficient intrusion detection system called ID-SOMGA. This study provides an equally efficient method to implement an intrusion detection system that returns very low false positives. Due to the complexities involved in security issues, and the implementation of the work, selected values of the network log was used to implement the system in order to reduce some of these complexities. The Self Organizing Migrating Genetic Algorithm – Intrusion Detection System was tested and values of the result were compared with that of an IDS with Genetic Algorithm Intrusion Detection System. In terms of detection rates, ID-SOMGA was found to be slower than an IDS with GA, the false positives in ID-SOMGA was lower than what obtains with genetic algorithm. Both schemes were able to identify new patterns almost in the same way. The ID-SOMGA system that was developed improved the security of systems in networked settings allowing for confidentiality, integrity and availability of system resources.

Ground handling operations can be accepted as the heart of safe flight, beginning from the ground to the air. In ground handling activities where there is tight time pressure, human resources are of great importance in efficient and safe service. This study presents ergonomic risk factors affecting the operational and corporate performance of aircraft ground handling services. Ergonomic related performance fields are identified via expert opinion and a taxonomy focusing on classified error conditions for ground handling services. The taxonomy is developed to improve corporate performance while eliminating ergonomic risks and maintaining a safe working environment. Identified performance risks are intended to be a guide for operational managers in aircraft ground operations in the field of investments, decision making and safe operations.

Purpose: Most public service institutions are generally different in design and operation compared to several years back. The advances in technology and consumer demand have resulted to public institutions adjusting periodically. New technological development has pushed most governments to modernize their systems in order to address their citizens ' demands for reliable and efficient services. As such, the Huduma Program of Kenya was launched in 2013 as a framework through which, a variety of channels advancing citizen-centric public services are supported through the use of digital technology at one stop centres throughout the country. The purpose of the study is to examine the effect of Business Process Re-engineering on service delivery in Huduma centers in Kenya.
 Methodology: The methodology used by the researcher used both quantitative and qualitative through the administration of questionnaires that were used as a data collection tool to study a target population of 51 Huduma Centres across the 47 counties in Kenya and an entire population of 153 respondents working at the management level in all operational Huduma centres in Kenya. Hypotheses were tested using regression analysis and Pearson’s Product Moment Correlation analysis. The study findings were presented in both tables and figures.
 Findings: the study findings revealed that the Huduma centers conduct frequent evaluations of their business processes that affect the delivery of public services they offer. Findings established that Business Process Reengineering practice has statistically significant effect on public service delivery with a p value (0.000) which was less than the conventional probability of 0.05 significance level. The results implied that business process re-engineering is a good predictor of service delivery. The findings have also recognized the role of business process re-engineering as a critical factor affecting one stop shop operations in Kenya. However, there is a need to re-examine the present processes involved, analyze them, and redesign them to be more efficient and cost-effective. These practices must be positive in character in order for citizens to easily use government services. As a conclusion, the results have addressed the knowledge gap in the administration of the Huduma Centres in Kenya.
 Unique Contributions to Theory, Practice and Policy: The study recommended that to enable institutions to redevelop their business procedures through the acknowledgement of which business processes are obsolete and can be eliminated, group related operations, substitute old machines with others, retain gangways and hold business sectors with high frequency.

Combining a neural network with a rule-based expert system approach for short-term power load forecasting in Taiwan

Introduction. Expert witness reports, prepared with the aim of quantifying fault rates among parties, play an important role in a court's final decision. However, conflicting fault rates assigned by different expert witness boards lead to iterative objections raised by the related parties. This unfavorable situation mainly originates due to the subjectivity of expert judgments and unavailability of objective information about the causes of accidents. As a solution to this shortcoming, an expert system based on a rule-based system was developed for the quantification of fault rates in construction fall accidents. The aim of developing DsSafe is decreasing the subjectivity inherent in expert witness reports. Methodology. Eighty-four inspection reports prepared by the official and authorized inspectors were examined and root causes of construction fall accidents in Turkey were identified. Using this information, an evaluation form was designed and submitted to the experts. Experts were asked to evaluate the importance level of the factors that govern fall accidents and determine the fault rates under different scenarios. Based on expert judgments, a rule-based expert system was developed. The accuracy and reliability of DsSafe were tested with real data as obtained from finalized court cases. Result. DsSafe gives satisfactory results.

Background Large language models (LLMs) such as GPT-4 can interpret free text, but unreliable answers, opaque reasoning, and privacy risks limit their use in healthcare. In contrast, rule-based artificial intelligence (AI) provides transparent and reproducible results but struggles with free text. We aimed to combine the strengths of both approaches to test whether such a hybrid system can autonomously and reliably extract clinical data from diagnostic imaging reports. Methods We developed a neuro-symbolic AI that connects GPT-4 with a rule-based expert system through a semantic integration platform. GPT-4 extracted candidate facts from free-text reports, while the expert system verified them against medical rules, producing traceable, deterministic labels. We evaluated the system on 206 consecutive prostate cancer PET/CT scan reports, requiring extraction of 26 clinical parameters per report, generating 5356 data points, and answering three study questions: study inclusion, recurrent cancer identification, and prostate-specific antigen (PSA) level retrieval. Outputs were compared against physician-derived references, and discrepancies were reviewed by a blinded adjudicator. Results Here we show that neuro-symbolic AI outperforms GPT-4 alone and matches physicians in structuring and analysing reports. GPT-4 alone achieves F1 scores of 0.63 for study inclusion and 0.95 for recurrence detection, with 96.6% correct PSA values. Physicians reach F1 scores of 1.00 and 0.99, with 98.1% PSA accuracy. The neuro-symbolic AI scores twice 1.00 with 100% PSA accuracy and delivers always an auditable chain of reasoning. It intercepts two intentionally introduced reports with residual identifiers, preventing unintended transfer of sensitive data. Conclusions Unlike standalone LLMs, neuro-symbolic AI can safely automate data extraction for clinical research and may provide a path toward trustworthy AI in healthcare practice.Medical doctors often write reports as free text, which is hard to reuse for research or care. A large language model is software that reads and writes text by imitating large networks of brain cells. This type of artificial intelligence can extract and organize important information from medical reports. But its reasoning is opaque, answers can be wrong, and it raises privacy concerns. Rule-based artificial intelligence is transparent, responds correctly, and is privacy-protecting but struggles with free text. We combined both artificial intelligence types, so each offsets the other’s weaknesses. We tested the system on 206 prostate cancer imaging reports, where it extracted information correctly, showed how it reached its answers, and protected sensitive data. Pairing large language models with rule-based systems could make artificial intelligence safer, more trustworthy, and more useful in healthcare.

A rule-based system is a set of “if-then” statements that uses a set of assertions, to which rules on how to act upon those assertions are created. Rule-based expert systems have played an important role in modern intelligent systems and their applications in strategic goal setting, planning, design, scheduling, fault monitoring, diagnosis, and so on. The theory of decision support system is explained in detail. This chapter explains how the concepts of fuzzy logic are used for forward and backward chaining. Patient data is analyzed with the help of inference rules.

Classical paging systems are based on one-way communication channels: network towards pagers. Recent evolutions of paging systems have focused on supplying a reverse link, i.e., pager to network, thus allowing two-way paging services. In this paper, we compare the two kind of systems in order to evaluate their respective spectrum efficiency, service and quality of service, database management constraints and network infrastructure. Our aim is to identify the impact of introducing a reverse link in a one-way paging system. This study is based on the Ermes system specifications.