Extensive System Research Articles

Exploiting TTPs to Design an Extensible and Explainable Malware Detection System

Exploiting TTPs to Design an Extensible and Explainable Malware Detection System

The optimal polynomial decay in the extensible Timoshenko system

AbstractIn this paper, we derive the equations that constitute the nonlinear mathematical model of an extensible thermoelastic Timoshenko system. The nonlinear governing equations are derived by applying the Hamilton principle to full von Kármán equations. The model takes account of the effects of extensibility, where the dissipations are entirely contributed by temperature. Based on the semigroups theory, we establish existence and uniqueness of weak and strong solutions to the derived problem. By using a resolvent criterion, developed by Borichev and Tomilov, we prove the optimality of the polynomial decay rate of the considered problem under the condition (65). Moreover, by an approach based on the Gearhart–Herbst–Prüss–Huang theorem, we show the non‐exponential stability of the same problem; but strongly stable by following a result due to Arendt–Batty. In the absence of additional mechanical dissipations, the system is often not highly stable. By adding a damping frictional function to the first equation of the nonlinear derived model with extensibility and using the multiplier method, we show that the solutions decay exponentially if Equation (85) holds.

Optimization of Formula for Chromium-Free Zinc–Aluminum Coatings Based on Extension Analytic Hierarchy Process

The service performance of chromium-free zinc–aluminum coatings exhibits characteristics from multiple perspectives. Fully considering the physical properties, corrosion resistance, and economic viability of the coatings, this study incorporates the concepts of “domain” and “degree” from extenics theory into the analytic hierarchy process to optimize the formulation of chromium-free zinc–aluminum coatings. The findings reveal that the extension analytic hierarchy process takes into account the diversity of evaluation indicators, enhancing the objectivity and accuracy of the comprehensive evaluation results. Nine formulations were developed using a four-factor, three-level orthogonal experiment to evaluate the effects of metal powder, PEG-400, KH-560, and sodium molybdate on the service performance of chromium-free zinc–aluminum coatings. Utilizing an extensible hierarchical sorting weight system alongside a performance index grading and scoring method, 3# emerged with the highest score, indicating the best overall performance. The research outcomes offer innovative insights and technical support for optimizing the formulations of chromium-free zinc–aluminum coatings and other coatings.

A study on the motion characteristics of particle in shear flow of active nematic fluid between two plates

Abstract The motion characteristics of particle in shear flow of active nematic fluid between two plates are investigated numerically. The influence of activity intensity of active nematic fluids on the motion characteristics of particle is focused. The results showed that, when the activity intensity is high, the particle exhibits initially smooth trajectories and ultimately approximate Brownian motion. As the activity intensity increases, both the translational mean square displacement (MSDT) and rotational mean square displacement (MSDR) of the particle increase. The particle exhibits initially super-diffusive behavior and then normal diffusion. The unique vortex lattice mode in the flow plays a role in hindering particle motion, leading to a decrease in MSDT and MSDR. An increase in particle size will lead to a weakening of particle diffusion. In addition, there are topological defects in the active nematic fluid, and the number of topological defects N def in the contractile system is greater than that in the extensible system, while the presence of particle has a smaller impact on N def in the flow.

Leveraging Linked Data for Knowledge Management: A Proposal for the Aerospace Industry

Within a given subculture or industry, knowledge proliferates insofar as those outside the sphere of knowledge lack an understanding of the terms, concepts, and ideas specific to the domain. Moreover, collaborative work within large industries suffers from a lack of understanding between collaborators and from the use of nonstructured legacy knowledge artifacts. The aerospace and defense industries are no exception; indeed, they present examples of some of the largest industries with extensive projects and a diverse array of applications. This paper presents a state-of-the-art literature review of knowledge management and knowledge collaboration systems in the aerospace and defense industries. Based on the review findings, a proposal for an extensible and queryable knowledge management system for aerospace industry workspaces using the Web Ontology Language of the Semantic Web is presented.

Optimizing Video Queries with Declarative Clues

Video Database Management Systems (VDBMS) leverage advancements in computer vision and deep learning for efficient video data analysis and retrieval. This paper introduces the concept of user-specified Clues, allowing users to incorporate domain-specific knowledge, referred to as Clues, into query optimization. Clues are expressed as Clue types, each associated with optimization rules, and applied to queries through Clue instances. The extensible ClueVQS system we present to incorporate these ideas, optimizes queries automatically, utilizing Clues to improve processing efficiency. We also introduce algorithms to optimize queries using Clues allowing for trade-offs between speed and query accuracy. Our proposals and system address challenges such as data-dependent Clue effectiveness, limiting search space, and accuracy-efficiency trade-offs. Detailed experimental results demonstrate query speedups of up to two orders of magnitude compared to other applicable approaches, and a reduction of the query optimizer time by up to 95% while respecting user-specified accuracy constraints, showcasing the effectiveness of the proposed framework.

Expanding hardware accelerator system design space exploration with gem5-SALAMv2

With the prevalence of hardware accelerators as an integral part of the modern systems on chip (SoCs), the ability to model accelerators quickly and accurately within the system in which it operates is critical. This paper presents gem5-SALAMv2 as a novel system architecture for LLVM-based modeling and simulation of custom hardware accelerators integrated into the gem5 framework. It overcomes the inherent limitations of state-of-the-art trace-based pre-register-transfer level (RTL) simulators by offering a truly “execute-in-execute” LLVM-based model. It enables scalable modeling of multiple dynamically interacting accelerators with full-system simulation support. To create long-term sustainable expansion compatible with the gem5 system framework, gem5-SALAM offers a general-purpose and modular communication interface and memory hierarchy integrated into the gem5 ecosystem, streamlining designing and modeling accelerators for new and emerging applications. gem5-SALAMv2 expands upon the framework established in gem5-SALAMv1 with improved LLVM-based elaboration and simulation, improved and more extensible system integration, and new automations to simplify rapid prototyping and design space exploration. 11Conference Paper Extension: This work extends the work presented in gem5-SALAM: A System Architecture for LLVM-based Accelerator Modeling from MICRO 2020 (Rogers et al., 2020). This work expands on the aforementioned work by revamping the gem5-SALAM internals to provide more robust and extensible simulations, introducing new automation tools for expanding and simplifying design space exploration, and demonstrates the new capabilities of gem5-SALAMv2 by exploring multiple configurations of simple neural network architectures.Validation on the MachSuite (Reagen et al., 2014) benchmarks presents a timing estimation error of less than 1% against the Vivado High-Level Synthesis (HLS) tool. Results also show less than a 4% area and power estimation error against Synopsys Design Compiler. Additionally, system validation against implementations on an Ultrascale+ ZCU102 shows an average end-to-end timing error of less than 2%. Lastly, we demonstrate the upgraded capabilities of gem5-SALAMv2 by exploring accelerator platforms for two deep neural networks, LeNet5 and MobileNetv2. In these explorations, we demonstrate how gem5-SALAMv2 can simulate such systems and guide architectural optimizations for these types of accelerator-rich architectures. 22The most up-to-date version of gem5-SALAMv2 is available at https://github.com/TeCSAR-UNCC/gem5-SALAM..

Time-traveling object-centric breakpoints

Object-centric breakpoints aim to facilitate the debugging of object-oriented programs by focusing on specific objects. However, their practical application faces limitations. They often produce false positives and require developers to identify objects to debug in a running program, which is sometimes not possible due to non-determinism. Additionally, object-centric breakpoints are difficult to build because, to the best of our knowledge, their implementations have never been abstracted from low-level concerns. The literature describes complex reflective architectures necessary for implementing these breakpoints, and their rare available implementations are language-specific.In this paper, we introduce Time-Traveling Object-Centric Breakpoints (TTOCBs), a new definition and implementation of object-centric breakpoints based on Time-Traveling Queries (TTQs). TTQs are an extensible time-traveling debugging system that allows developers to explore their program executions back and forth by executing debugging queries. We argue that our query-based implementation helps to overcome the limitations of traditional object-centric breakpoints. We describe how TTOCBs assist developers in searching for objects to debug within their program executions, even in the presence of non-determinism. We illustrate how existing object-centric breakpoints from the literature can be implemented and how new ones can be created in a few steps using the TTQ abstractions and scripting API. To build breakpoints, developers need to familiarize themselves with a short API instead of learning language reflection techniques and libraries. This makes our TTOCBs independent of the underlying TTQs and debugger implementations.To evaluate our solution, we conducted an initial anecdotal user study on four example scenarios, providing evidence that debugging with TTOCBs requires fewer actions than with traditional object-centric breakpoints. We then discuss the comparison between object-centric breakpoints and TTOCBs in terms of applicability and performance.

GestureFusion: A Gesture-based Interaction System

Abstract: In an era of increasingly sophisticated human-computer interaction, the ability to comprehend and interpret hand gestures has become a pivotal element for bridging the gap between humans and machines. This project, titled ”GestureFusion: A Gesture-based Interaction System,” seeks to contribute to this rapidly evolving field by developing a comprehensive system for recognizing and categorizing hand gestures through the application of computer vision techniques. The primary objective of this project is to create a versatile and extensible hand gesture recognition system that can be employed in various domains such as virtual reality, robotics, sign language interpretation, and human-computer interface design. To achieve this, the project employs state-of-the-art computer vision algorithms and deep learning techniques. Key components of this project include data collection and annotation, model training and optimization, the development of a user-friendly application programming interface (API) for integration into diverse applications.

Complexities and opportunities: A review of the trajectory of fish farming in Zimbabwe

AbstractZimbabwe is currently rated as one of the top 10 fish producers in Sub‐Saharan Africa. Fish farming in Zimbabwe is dominated by the culture of Nile tilapia (Oreochromis niloticus) followed by rainbow trout (Oncorhynchus mykiss). Over 90% of the cultured fish is O. niloticus, which comes from Lake Kariba. Since the first decade of the 21st century, there has been a significant increase in fish production from two tons to eight tons annually. The increase in fish production has been attributed to the government and donor‐funded fishery programs. In this review, current practices, opportunities, and challenges for aquaculture in Zimbabwe are highlighted. The current practices include intensive, semi‐intensive, and extensive aquaculture systems. Consistent high market demand for fish and numerous water bodies with potential for cage culture are some of the drivers for aquaculture. Despite the industry's significant growth, there are still a number of management and production issues that need to be resolved. Weaknesses in structural issues and operational frameworks in Non‐Governmental Organizations, lack of credit facilities, subsidies, limited technology, obfuscated governance, weak fish disease surveillance mechanisms and legal frameworks, and constrained human resources capacity are some of the challenges plaguing fish culture in Zimbabwe. Cogent aquaculture policies, sustainable subsidies, intensive training of human resources and fisheries experts, strengthened disease surveillance, cheaper alternative fish feeds, reliable viable fingerling production, concerted value chain efforts, and exploration of lucrative export markets is a panacea for the fledgling aquaculture industry in Zimbabwe.

Coherent Phase Change in Interstitial Solutions: A Hierarchy of Instabilities.

Metal hydrides or lithium ion battery electrodes can take the form of interstitial solid solutions with a miscibility gap. This work discusses theory approaches for locating, in temperature-composition space, coherent phase transformations during the charging/discharging of such systems and for identifying the associated transformation mechanisms. The focus is on the simplest scenario, where instabilities derive from the thermodynamics of the bulk phase alone, considering strain energy as the foremost consequence of coherency and admitting for stress relaxation at free surfaces. The extension of the approach to include capillarity is demonstrated by an example. The analysis rests on constrained equilibrium phase diagrams that are informed by geometry- and dimensionality-specific mechanical boundary conditions and on elastic instabilities-again geometry-specific-as implied by the theory of open-system elasticity. It is demonstrated that some scenarios afford the analysis of chemical stability to be based entirely on a linear stability analysis of the mechanical equilibrium, which provides closed-form solutions in a straightforward manner. Attention is on the impact of the system geometry (infinitely extended or of finite size) and on the chemical (closed or open system) and mechanical (incoherent or coherent) boundary conditions. Transformation mechanism maps are suggested for documenting the findings. The maps reveal a hierarchy of instabilities, which depend strongly on each of the above characteristics. Specifically, realistic, finite-sized systems differ qualitatively from idealized systems of infinite extension. Among the transformation mechanisms exposed by the analysis are a uniform switchover to the other phase when the open system reaches its chemical spinodal, practical coherent nucleation, as well as chemo-elastically coupled spontaneous buckling modes, which may take the form of either, single-phase or dual-phasestates.

Genetic evaluations of dairy goats with few pedigree data: different approaches to use molecular information.

One of the limitations of implementing animal breeding programs in small-scale or extensive production systems is the lack of production records and genealogical records. In this context, molecular markers could help to gain information for the breeding program. This study addresses the inclusion of molecular data into traditional genetic evaluation models as a random effect by molecular pedigree reconstruction and as a fixed effect by Bayesian clustering. The methods were tested for lactation curve traits in 14 dairy goat herds with incomplete phenotypic data and pedigree information. The results showed an increment of 37.3% of the relationships regarding the originals with MOLCOAN and clustering into five genetic groups. Data leads to estimating additive variance, error variance, and heritability with four different models, including pedigree and molecular information. Deviance Information Criterion (DIC) values demonstrate a greater fitting of the models that include molecular information either as fixed (genetic clusters) or as random (molecular matrix) effects. The molecular information of simple markers can complement genetic improvement strategies in populations with little information.

Collective Study on Housing Management Practices of Kenguri Sheep Farmers under Intensive and Extensive Rearing Systems in Yadgir District of Karnataka, India

The main domains of housing management practices followed by Kenguri sheep farmers were analyzed during the research. Twenty sheep farms in intensive and extensive were pointed out based on the accessibility in the respective study location Yadgir (Northern Eastern dry agro-climatic zone) district of Karnataka, India. The examination was carried out during the months of January to February in the year 2022. The objectives of housing practices were assessed by computing frequency percentage values and average descriptive values. The majority of intensive sheep farmers had wooden type of flooring (60.00%) and whereas, mud flooring (100.00%) is the only option for extensive sheep farmers. All intensive sheep farms had galvanized roofing (100.00%), in contrast all extensive sheep farms were with no roofing. Sheep in intensive rearing had trough water sources (45.00%) majorly and in extensive rearing they had natural water source (70.00%) accessibility. Most of the intensive sheep farmers maintained proper commercial feed (60.00%) access for the sheep, but fodder (65.00%) was the key food type for sheep reared under an extensive system. The advantage of fans for better ventilation (40.00%) was seen in intensive rearing systems, whereas, only natural ventilation (100.00%) was observed in extensive rearing system. The good space availability and pen dimensions are the only concerns with an intensive rearing system. The outcomes of this work will help the sheep farmers become accustomed to the better housing management practices in the near times.

Opportunities and Challenges in AI Based Modern Power System

Nowadays, the power grid has transformed into a dynamic and extensive resource generation and management system. This transformation is primarily driven by the widespread adoption of renewable energy sources and the utilization of intelligent information and communication technologies to handle dynamic workloads. The smart grid encompasses various innovative operations, including power electrification, intelligent information integration at the physical layer, and intricate interconnections. These operations leverage data-driven deep learning, big data, and machine learning paradigms to effectively analyze and control transient issues within the electric power system. Artificial intelligence (AI) has emerged as a crucial tool in addressing and resolving challenges associated with transient stability assessment (TSA) and power generation control. In this research paper, we present a comprehensive review that explores the role of AI and its sub-procedures in tackling TSA problems. The article outlines an AI-based intelligent power system structure, along with the rationality of applying AI to transient situations in power system TSA. Distinguishing itself from other reviews, this paper delves into the AI-based TSA framework and design process, highlighting intelligent applications and their analytical capabilities in addressing power system transient problems. Furthermore, our analysis extends beyond AI alone, as we also explore the integration of big data, which aligns seamlessly with AI. The paper discusses future trends, opportunities, challenges, and open issues pertaining to AI-Big data based transient stability assessment in the smart power grid.

Breed and non-genetic risk factors associated with the prevalence of subclinical mastitis in livestock systems of Arauca, Colombian orinoquia

ABSTRACT Subclinical Mastitis (SCM) is caused by several factors associated with the interaction of the individual cow, cow management, and the environment. The aim of this study was to assess the breed and non-genetic risk factors on the prevalence of SCM in cows from the dual-purpose livestock system on the floodplain of Arauca, Colombian Orinoquia. Milk samples were taken from the individual mammary quarters of 481 cows representing 28 different farms where the electrical conductivity (EC) test applied. To determine the factors associated with SCM, a multiple logistic regression analysis was used. The response variable was the SCM presence (1), or absence (0) obtained with the EC test. Breed was included as a genetic risk factor, and as non- genetic risk factors: number of cows in production, daily milk production, lactation month, cow age, climatic period, body condition, and calving number. The factors that were significantly associated with the SCM presence were body condition, climatic period, and breed (p < 0.05). Odds ratio (OR) analysis of significant effects indicates that for each unit increase in body condition, the OR of having animals with SCM is reduced by 71%. In the dry period the OR of animals with SCM increases by 150% compared to the rainy period. Composite breeds reduce the OR of SCM animals by 73%, compared with Indicus-predominance animals. In this study, the occurrence of SCM in extensive management systems in Arauca, Colombian Orinoquia, is determined by the risk factors of breed, climatic period, and body condition.

Comparative assessment of methane emissions from the manure of Mexican Creole Hairless Pigs and Commercial Pigs fed the same diet

AbstractPig production contributes significantly to the high environmental footprint of the livestock sector. Therefore, in this framework, a transition toward more sustainable production is essential. Local natural livestock resources, such as Mexican Creole Hairless Pigs, provide a good opportunity to achieve sustainable pig production. In the present study, a first approximation to compare the carbon emissions of Mexican Creole Hairless Pig manure from Commercial Pig manure is presented. Under the same feeding and housing conditions, the specific methane emissions of both Mexican Creole Hairless Pigs and Commercial Pigs manure were determined experimentally at room temperature. In addition, specific methane production kinetics was modeled using the Gompertz equation to estimate the specific methane production rate. The methane emission factors for Mexican Creole Hairless Pig manure (0.33 ± 0.02 kg[CO2‐eq]/LU per day) were half those of Commercial Pig manure (0.7 ± 0.04 kg[CO2‐eq]/LU per day), and biochemical manure analysis suggested that Mexican Creole Hairless Pigs had better digestibility of the diet. In general, due to physiological factors such as food intake rate and gut microbiota development, which could influence the fat and fiber digestibility of Creole genotypes, pig genotype should be included as an additional factor to estimate greenhouse gas emissions from pig manure. The production of Mexican Creole Hairless Pigs in an extensive local system is therefore an attractive option for developing new sustainable markets.

Influence of the Role of Agriculture Extension Worker (AEW) Against Farming Group Dynamics In the Dry Land Agricultural Area, West Lombok Regency

The dynamism of farmer groups is influenced by internal factors, namely the farmer group itself, and external factors, namely the role of the Agriculture Extension Worker (AEW). This research was carried out in West Lombok Regency with the criteria of selecting 2 sub-districts in West Lombok Regency which had a larger dry land area compared to other sub-districts, namely Sekotong District and Lembar District; from each sub-district 3, villages were selected with the criteria of having the largest number of farmers, determining selected farmer groups based on criteria. Farmer groups have been registered in the Decree of the Head of the West Lombok Regency Agricultural Service and have been recorded in the agricultural extension system (simluhtan). This research aimed to analyze the role of AEW, the dynamics of farmer groups, and the influence of the role of Agriculture Extension Worker (AEW) on the dynamics of farmer groups in dryland farming areas in West Lombok Regency. The analytical method used was descriptive analysis with a Likert scale by giving a score of 1-5 for each criterion for each indicator. The research results showed that the respondents' assessment of the role of field agricultural instructors as facilitators, educators, motivators, and organizers was in a good category. Farming group dynamics seen from the aspects of group goals, group structure, task functions, group coaching and development, group cohesiveness, group atmosphere, and group effectiveness was in the quite good category, and the relationship/correlation between the role of AEW and the dynamics of farmer groups was very strong.

Impact of feeding native Caatinga pasture on the rumen histomorphometry of sheep raised in semi-extensive management.

In the northeastern region of Brazil, sheep and goat farming, encompassing around 20 million animals, is predominantly a subsistence activity. Forage quality plays a crucial role in animal productivity, posing a complex interplay between plant and animal aspects. The Caatinga biome, vital for livestock in the region, serves as a significant source for animal diet through pastures. This study aimed to conduct a histomorphometric evaluation of sheep rumens in a semi-extensive system, comparing those feeding on native Caatinga pastures to those on cultivated pastures. Histological processing followed standard protocols, with morphometry focusing on six viable rumen papillae and the submucosa and muscular layer thickness. Statistical correlation analysis revealed morphological differences in papillae across various rumen regions. Morphometric data indicated no significant difference in papillae area between the groups, with average values in Group A surpassing those in Group B, except for width. This study establishes a morphological and morphometric pattern for rumen regions linked to diet types-native or cultivated. The findings not only enhance understanding of the dietary foundation in the Caatinga's extensive system, but also contribute valuable insights for formulating nutritional strategies to enhance sheep production in the region. This research sheds light on the intricacies of forage-based animal nutrition, particularly in semi-extensive systems, offering a foundation for future studies and practices to optimise livestock management in the northeastern Brazilian context.

Chemical composition of Gariss produced from milk of camels with different watering intervals using some traditional containers in Al-Koma Locality, North Darfur State, Sudan

BackgroundThe nomadic camels herders utilizing the extensive production system in Sudan depend mainly on fermented milk, locally known as Gariss, as their main stable food for several months during the year.MethodsThis study was conducted to assess some factors (locations, types of containers used for preparing Gariss and camels watering intervals) affecting the compositional content of Gariss that is commonly prepared by nomadic camel herders. Gariss samples (n-118) were collected during February 2018, from nomadic herders in 4 locations in Al-Koma Locality, North Darfur State, Sudan.Results and discussionThe chemical analysis conducted during this study indicated that the mean levels of the total solids, fat, protein and ash content and the pH values of Gariss samples revealed 7.35 ± 0.22%, 2.58 ± 0.08%, 1.86 ± 0.04% and 0.67 ± 0.01% and 3.77 ± 0.03, respectively. The data showed that Gariss prepared in Siin showed the highest total solids (7.7 ± 0.71%), protein (2.02 ± 0.18%), fat (2.60 ± 0.19%) and ash (0.68 ± 0.04%) content, while it revealed the lowest pH value (3.61 ± 0.11). Gariss prepared in plastic containers showed the lowest total solids (7.30 ± 0.23%) and protein (1.48 ± 0.28%). Moreover, Gariss from milk of camels that drink water every 14 days revealed high values for total solids (7.91 ± 0.29%), fat (2.80 ± 0.11%), protein (1.99 ± 0.05%) and pH (3.78 ± 0.04), while it showed the lowest ash (0.67 ± 0.02%) content compared to those made from milk of camels with drinking water frequency of 10 days.ConclusionThe study concluded that the compositional content of Gariss was affected by the frequency of water drinking by camels in addition to the containers used for its preparation; as the compositional content of Gariss from Siin showed the best values followed by that stored in Bokhsa. Thus, the study recommends that Siin and Bokhsa should be considered as valuable ethnic containers in keeping camel fermented milk with better compositional content.

Comparative Analysis of Air Quality Index in Relation to Crop Residue Burning and Industrial Pollution in Punjab

The stubble burning is considered as the major air pollution contributor during the month of October and November, in Northern parts of India. Due to the fact that it corresponds with the burning seasons, the terrible haze seen over India in the winter has been connected to stubble burning (October-November). The situation is more critical in Punjab as the farmers have adopted extensive Rice-Wheat cropping system which leads to accumulation of stubble at large scale. The major gaseous pollutants generated due to stubble burning and industrial pollution are carbon dioxide (CO2), carbon monoxide (CO), nitrogen oxides (NO2), sulfur oxides (SO2), and methane (CH4) as well as particulate matters (PM10 and PM2.5) causing serious issues to human health and the environment. Present study was planned to determine the impact of stubble burning on air quality parameter among industrial, moderately industrial and non-industrial area. It was reported that concentrations of particulate matters PM2.5 and PM10 in air was increasing with increasing in burning events in all the districts studied. Whereas increasing trend of NH3 and NO2 concentration in Ludhiana and NH3 in Bathinda district may be due the impact of crop residue burning along with industrial pollution. If managed properly, crop stubbles might offer farmers significant economic rewards and safeguard the environment from serious contamination. Present results showed that burning of rice crop residue significantly contributes to air pollution in Punjab.