Software Features Research Articles

SUSTAINABLE FOOD PACKAGING IMPACT TO THE REDUCTION OF TRANSPORT COSTS

People dealt with many new issues related to sustainable development goals. Different decisions oriented to sustainable food packing would be very useful, if they could bring significant effect through the reduction of CO2 emission. The paper focuses on sustainable food packing and its effect on reduction of freight transportation costs. This topic has many research gaps and requires theoretical and practical investigations. Integration of sustainability into long term process has clear implications for the environment. Meherishi et al. (2019) highlight that the process of creating sustainable packaging guarantees the optimal use of materials and energy and is efficiently regenerated without wasting of natural resources. The impact of food packaging on transportation is clear and depends on a number of factors, which are shaped by the characteristics of the food packaging. In addition, among benefits of sustainable food packaging are such main functions as product safety and its identification. Modern complex solutions covering sustainable packing and transport costs reduction are important for increasing environmental sustainability. The study aims to analyze the impact of packaging on the reduction of transport costs. The aim was reached by performing sustainable food packaging and its impact on the reduction of transport costs theoretical justification and by conducting biometric analysis. The overview of the literature of sustainable food packaging and its impact on the supply chain was conducted, and it was found that the food packaging described different types of packaging and new packaging technologies which have an impact on the supply chain and are determined by some factors related to the characteristics of food packaging and the nature of the supply chain. Equally the overview of literature on the transport of food dynamics and the role of transport costs reduction on sustainability was also conducted. It was found that there is a need to develop new technologies and methods for food management and CO2 emissions for longer transport routes reduction. Either the research was conducted by biometric analysis for 2022-2023 to identify current trends, and it was found that the number of analyzed articles, included four clusters, which show that topics are oriented to delivery, flow, algorithms, structure, and role. The bibliometry analysis results show that product packing has links with transport and delivery and algorithms. The authors provided investigations under the topic as it requires knowledge to fill the existing gaps.

Evaluation Software and IT Integration for IoT-based Healthcare Radio Frequency Identification Network Planning

For Internet of Things (IoT)-based on healthcare systems to autonomously monitor patients, radio frequency identification, or RFID, its essential. It is difficult to guarantee complete coverage throughout sizable healthcare facilities with a small number of RFID readers, though Software for RFID network planning must be optimized. The purpose of this paper is about optimizing related software and suggest a topological RFID network planning strategy that will minimize reader interference while deploying the fewest possible readers. The best location for RFID tags on patients as well as readers depends on the layout of the institution and how the patients move. To dependably scan tags across a variety of locations, RFID network design software precisely calculates the number and positions of readers using algorithms. Software features and network planning goals are developed to efficiently track patient status by automating the gathering of medical data. in this paper to find the optimal number of RFID readers required and their location in the system. After the algorithm was tested, it was found that the algorithm can determine the true effectiveness of the coverage and reduce the area of interference between the areas of coverage of RFID readers. PSO is a superior algorithm for solving difficult problems (NP). The PSO algorithm has shown a high efficiency in finding the optimal solution, with some of weakness in the performance of the algorithm, represented in finding functional boundaries that serve the research problem. By providing constant access to health information, this plan raises the standard of care.

Proposing A Protocol Schemata for Developing Web-Based Question Item Bank for Summative Assessment

Introduction: This study aims to propose a protocol schemata for developing a web-based question item bank (QIB). It can be developed by educational experts in collaboration with assessment experts. These protocol schemata propose all the security and safety features required for developing QIB. Methodology: The prevailing procedures for paper setting at educational boards in Pakistan and their need to establish QIB were studied. Available web-based QIBs and their features were also studied. The knowledge gained was utilized for research and development for proposing some protocol schemata for developing a secure and comprehensive web-based QIB. Results/Findings: The studies of prevailing procedures for paper setting and features of available QIB software led the researchers to propose a protocol schemata essential for establishing QIB for examining bodies. They need to ensure security measures and propriety rights to save their QIBs from hacking. Future Direction: The proposed schemata can be helpful in establishing a web-based QIB software having multiple types of question items developed as per Bloom’s Taxonomy cognitive and difficulty levels. It may be multilingual, and mathematical equations and scientific notation supported. It can ensure security from hacking when kept offline after development.

Design and construction of a social media corpus: Influencers’ speech in vlogs

This article outlines the creation of a social media corpus of Turkish vlogs on YouTube, aimed at analyzing the translanguaging practices and multimodal communication of Turkish social media influencers. It firstly describes the process of constructing the corpus, including transcription conventions and ad hoc annotation. The article then analyzes the phenomenon of translanguaging, with an emphasis on its prevalent forms and modes. Given the challenges associated with compiling a multimodally rich social media corpus, this paper provides strategies for manually transcribing and annotating linguistic and semiotic features in ELAN software, as well as strategies for managing tier-based annotations for vlog datasets. Additionally, the study presents approaches for handling non-standard linguistic codes and marked occurrences in language contact zones, illustrated through examples drawn from the vlog corpus where Turkish serves as the standard code.

ImageJ in Computational Fractal-Based Neuroscience: Pattern Extraction and Translational Research.

To explore questions asked in neuroscience, neuroscientists rely heavily on the tools available. One such toolset is ImageJ, open-source, free, biological digital image analysis software. Open-source software has matured alongside of fractal analysis in neuroscience, and today ImageJ is not a niche but a foundation relied on by a substantial number of neuroscientists for work in diverse fields including fractal analysis. This is largely owing to two features of open-source software leveraged in ImageJ and vital to vigorous neuroscience: customizability and collaboration. With those notions in mind, this chapter's aim is threefold: (1) it introduces ImageJ, (2) it outlines ways this software tool has influenced fractal analysis in neuroscience and shaped the questions researchers devote time to, and (3) it reviews a few examples of ways investigators have developed and used ImageJ for pattern extraction in fractal analysis. Throughout this chapter, the focus is on fostering a collaborative and creative mindset for translating knowledge of the fractal geometry of the brain into clinical reality.

VICR: A novel software for unbiased video and image analysis in scientific research.

In scientific research, objectivity and unbiased data analysis is crucial for the validity and reproducibility of outcomes. This is particularly important for studies involving video or image categorization. A common approach of decreasing the bias is delegating data analysis to researchers unfamiliar with the experimental settings. However, this requires additional personnel and is prone to cognitive biases. Here we describe the Video & Image Cutter & Randomizer (VICR) software (https://github.com/kkihnphd/VICR), designed for unbiased analysis by segmenting and then randomizing the segmented videos or still images. VICR allows a single researcher to conduct and analyze studies in a blinded manner, eliminating the bias in analysis and streamlining the research process. We describe the features of the VICR software and demonstrate its capabilities using zebrafish behavior studies. To our knowledge, VICR is the only software for the randomization of video and image segments capable of eliminating bias in data analysis in a variety of research fields.

Numerical Solution of a Left-Invariant Sub-Riemannian Problem on the Group $\mathrm{SO}(3)$

We consider a left-invariant sub-Riemannian problem on the Lie group of rotations of a three-dimensional space. We find the cut locus numerically, in fact we construct the optimal synthesis numerically, i. e., the shortest arcs. The software package nutopy designed for the numerical solution of optimal control problems is used. With the help of this package we investigate sub-Riemannian geodesics, conjugate points, Maxwell points and diffeomorphic domains of the exponential map. We describe some operating features of this software package.

Smart Wireless Message Display: Enhancing Communication with Intelligent Technology

A digital notice board, consisting of a unified display with LED panels, enhances the visibility of announcements and other essential information for the general public, students, and staff. To promote effective communication at both the internal and external levels, it is feasible to consistently exchange multimedia files such as documents, PDFs, videos, and photographs. Campus contact with students is being replaced by digital technology, rendering paper notice boards obsolete. It provides proactive management that is both rapid and effective. The text covers the SWNB's software, hardware, and key features. The user receives important system operation and use information. The paper also discusses the SWNB's feasibility, reliability, growth potential, maintenance, user feedback, testing protocols, and improvements. This cutting-edge solution helps institutions and organizations streamline communication, boost efficiency, and adapt to the digital age. Innovative solutions are needed to fix conventional bulletin boards' inflexibility and inability to update immediately. This article covers Smart Wireless Notice Board (SWNB) setup, programming, and planning. The SWNB can display dynamic content, remotely modify it, and seamlessly integrate with existing communication infrastructures. It uses Raspberry Pi's versatility and multiple wireless connectivity options to do this.

Investigation of user perception of software features for software architecture recovery in object-oriented software

Investigation of user perception of software features for software architecture recovery in object-oriented software

SimplyFire: An Open-Source, Customizable Software Application forthe Analysis of Synaptic Events.

We have developed an open-source software for neuroscientists to analyze electrophysiological recordings. Named SimplyFire, the software gives the users the flexibility to analyze a variety of recordings using an interactive graphical user interface or as an importable Python package. The software features a simple plugin structure that allows users to create and deploy various electrophysiology analysis tools. SimplyFire is pre-packaged with tools commonly used in electrophysiology, such as noise filtering, trace averaging, miniature analysis, and trace exporting. We discuss in detail the algorithm behind the different features of the analysis tool. We verify the accuracy of the algorithm by testing the software using computer-generated traces with known true values of the events. SimplyFire will be distributed under the GPLv3.0 license. The open nature of this software will allow interested investigators to modify and expand the software for additional capabilities as needed. We believe this software will not only compete with commercially available software packages but will also present a powerful tool to meet the current and unmet needs of electrophysiologists.

تأثير خصائص التعبئة والتغليف على تقييم المستهلك للمنتجات الغذائية

The purpose of this study is to demonstrate the effect of packaging characteristics on consumer evaluation of food products. The questionnaire form prepared for this purpose included 20 questions for 149 consumers in Baghdad, regarding consumer awareness of the importance of packaging design, the impact of packaging materials from which the packaging is made, product characteristics, the influence of the brand and the country of origin on the consumer's purchasing decision, the results of questionnaire analyzed using percentages, weighted arithmetic mean and percentile weight, the results showed that the packaging characteristics of food products was effect on the purchasing decision for Iraqi consumer.

Transforming Emergency Medical Services with Electric Ambulance Technology

Abstract: The focus of this project is to design and implement cutting-edge software features within the Electric Ambulance. These features are tailored to streamline the identification and availability of medical appliances and medications on board. The goal is to optimize the response time and ensure that paramedics have immediate access to the necessary tools for providing effective patient care. Complementing the software enhancements is the integration of a Laboratory System, driven by Lab-on-Chip (LOC) technology. This system is poised to revolutionize pre-hospital care by enabling on-the-spot health examinations, facilitating accurate first aid, and initiating prompt treatment. The marriage of advanced software and laboratory capabilities sets the stage for a new era in emergency medical services.

Investigating the Role of Exploratory Testing in Agile Software Development: A Case Study Analysis

This abstract provides a thorough examination of the critical function of exploratory testing in the framework of Agile software development approaches, drawing conclusions from a careful examination of case studies. Agile approaches have become a top framework for encouraging adaptability, cooperation, and continuous improvement in response to the software development processes' ever-increasing complexity and quick evolution. In such a dynamic environment, exploratory testing is a vital tool that helps teams discover bugs, iteratively explore software features, and improve testing methods. This paper clarifies the complex interactions between exploratory testing and Agile principles, illuminating their effects on project outcomes, team dynamics, and product quality through a thorough analysis of several case studies taken from various industry contexts. This study offers useful insights and suggestions for improving testing procedures and streamlining software development processes by combining empirical data and theoretical frameworks to better understand how exploratory testing can be successfully integrated into Agile environments. Finally, this study emphasises the importance of exploratory testing as a fundamental component of Agile approaches and argues for the deliberate application of this practice to promote innovation, flexibility, and quality control in contemporary software development projects.

Path Planning via Swarm Intelligence Algorithms in Unmanned Aerial Vehicle Population

Unmanned Aerial Vehicle (UAV) is an autonomous aerial vehicle capable of operating autonomously or in swarm cooperation, performing various tasks in civilian and military domains that exceed human capabilities. These vehicles, which can be produced in different models with varying hardware and software features, include flight control systems, route tracking systems, sensors, and numerous additional components. UAVs have the ability to process data from themselves, the control center, and the external environment. Data processing enables functions such as flight management, swarm optimization, and target and route analysis. In this analysis process, optimization algorithms and especially swarm intelligence algorithms inspired by creatures that move in flocks in nature are used. In this study, the aim was to determine the optimal route and distance from 10 different coordinate points for collective task optimization within a UAV swarm. Artificial Bee Colony (ABC) Optimization and Particle Swarm Optimization (PSO) were used during the task optimization process. The application was coded in Python. As a result of the application, the optimal distance was calculated as 0.123 km for the ABC algorithm and 0.167 km for the PSO algorithm. In addition, both algorithms determined the best routes according to different start and end points in route planning task optimisation.

On the relative value of clustering techniques for Unsupervised Effort-Aware Defect Prediction

Unsupervised Effort-Aware Defect Prediction (EADP) uses unlabeled data to construct a model and ranks software modules according to the software feature values. Xu et al. (JSS 2021) conducted an exploration of clustering techniques for unsupervised defect prediction and found that several clustering methods exhibit better performance on the F1@20% effort-aware metric. However, their conclusion may not be convincing, as they did not take into account the impact of the Initial False Alarms (IFA) metric on unsupervised EADP. Furthermore, their study did not compare with the state-of-the-art supervised EADP models. To further investigate clustering techniques for unsupervised EADP more comprehensively, we explore the performance of 22 clustering techniques for unsupervised EADP using three classification metrics and six effort-aware metrics. The experimental results demonstrate that (1) the best clustering technique for unsupervised EADP, K-medoids, can significantly reduce the IFA of the ManualUp method to an acceptable range. In contrast, the clustering techniques recommended by Xu et al. exhibit a high IFA value that cannot be deemed acceptable by testing teams; (2) K-medoids performs better than some supervised EADP methods, especially on metrics such as IFA and PMI@20% (Proportion of Modules Inspected when inspecting the top 20% lines of code); (3) better classification performance of clustering techniques could lead to better effort-aware performance. In summary, we recommend using the K-medoids clustering technique for unsupervised EADP and suggest that future research devote more effort to exploring better-unsupervised clustering techniques. In support of reproducibility and future research, we provide the source code used in our study (https://github.com/Andre-Yang816/Clustering4UEADP).

Features of software implementing the prefix search method in cryptographically protected databases

The article addresses the specific considerations associated with the development of software implementing the prefix search method in cryptographically protected databases. This method is a variant of symmetric searchable encryption, which allows search among the encrypted data. The prefix search method allows searching for prefixes among encrypted data without the need for decryption. Such an approach resolves the issue of maintaining data confidentiality stored on remote or cloud servers. However, its usage introduces a set of issues that must be considered during the development of the corresponding software. The paper analyzes the requirements for software that implements the prefix search method, defines the software architecture, and justifies the choice of technologies and tools for software implementation, including ASP.NET, Java, JavaScript, PHP, Python programming languages, MongoDB database management system, and the FastAPI framework. A description of the deployment process of the corresponding software is provided. To assess the performance of the developed software, the well-known Apache JMeter tool for conducting load testing was utilized. The obtained performance evaluations of the proposed solution indicate acceptable time delays in processing relevant data search queries.

On-line monitoring of C seed magma using the ITECA Crystobserver to improve performance

A microscope system, the Crystobserver (supplied by ITECA, France), was installed on the C seed evaporating crystallizer at Condong Mill, Australia, to monitor the crystal development in real-time. The system provides a high-quality image and measures important parameters such as average crystal size and number of crystals in the image. Analysis of data collected over two seasons confirms that the system is reliable in obtaining images with sufficient clarity to assist the operators in remotely monitoring the crystal development from shortly after slurry addition. The reliability of the measurements is satisfactory once the crystals are larger than 30 µm through to near the end of the C seed when the crystal density in the screen is high. The operators have found the Crystobserver to be very beneficial, allowing them to take corrective actions such as changing the amount of slurry addition or the purity of the feed syrup more quickly. The software in the system stores historical data from several strikes, including images and key parameters that can be accessed readily. The installation, microscope and software features and potential benefits to a raw sugar mill are described.

EXAMINING SOFTWARE QUALITY CONCEPT: BUSINESS ANALYSIS PERSPECTIVE

Software quality is a critical aspect of software development that significantly impacts business performance and customer satisfaction. However, defining software quality can be challenging, as different sources provide various definitions and perspectives. The article presents a literature review of software quality, acknowledging an ongoing debate over the years regarding the definition of software quality and the methods used for its assessment. Among all the different ideas about software quality, the article highlights key concepts that are crucial in understanding software quality: meeting requirements, satisfying users, using software features, and spotting defects. The article also checks out international standards like ISO/IEC 25010:2011 and ISO/IEC 5055:2021, introducing terms such as "Quality in use" and "Structural Quality." Unveiling a tripartite perspective elucidated in international standards—internal quality, external quality, and quality in use - the article underscores the intricate interplay between subjectivity and objectivity. The subjective dimension, influenced by user perception and contextual factors, is juxtaposed with more objective criteria such as conformance to requirements and the absence of defects. The standards provide helpful perspectives, but the human side of things, like user feelings and specific contexts, makes finding a universal definition tricky. The pivotal role of business analysis and requirements engineering in ensuring software quality is underscored. Business requirements, stakeholder needs, and the quality of functional and non-functional requirements emerge as integral components. The article argues that software quality is intricately tied to the quality of its requirements, presenting a dual perspective: compliance with quality criteria and alignment with stakeholders' expectations and business goals. Practical software quality assessment is built upon the foundational understanding of contextual nuances, user needs, and operational conditions, all discerned through business analysis.

Key Features of Smart Medication Adherence Products: Updated Scoping Review.

Older adults often face challenges in self-managing their medication owing to physical and cognitive limitations, complex medication regimens, and packaging of medications. Emerging smart medication dispensing and adherence products (SMAPs) offer the options of automated dispensing, tracking medication intake in real time, and reminders and notifications. A 2021 review identified 51 SMAPs owing to the rapid influx of digital technology; an update to this review is required. This review aims to identify new products and summarize and compare the key features of SMAPs. Gray and published literature and videos were searched using Google, YouTube, PubMed, Embase, and Scopus. The first 10 pages of Google and the first 100 results of YouTube were screened using 4 and 5 keyword searches, respectively. SMAPs were included if they were able to store and allowed for the dispensation of medications, tracked real-time medication intake data, and could automatically analyze data. Products were excluded if they were stand-alone software applications, not marketed in English, not for in-home use, or only used in clinical trials. In total, 5 researchers independently screened and extracted the data. This review identified 114 SMAPs, including 80 (70.2%) marketed and 34 (29.8%) prototypes, grouped into 15 types. Among the marketed products, 68% (54/80) were available for consumer purchase. Of these products, 26% (14/54) were available worldwide and 78% (42/54) were available in North America. There was variability in the hardware, software, data collection and management features, and cost of the products. Examples of hardware features include battery life, medication storage capacity, availability of types and number of alarms, locking features, and additional technology required for use of the product, whereas software features included reminder and notification capabilities and availability of manufacturer support. Data capture methods included the availability of sensors to record the use of the product and data-syncing capabilities with cloud storage with short-range communications. Data were accessible to users via mobile apps or web-based portals. Some SMAPs provided data security assurance with secure log-ins (use of personal identification numbers or facial recognition), whereas other SMAPs provided data through registered email addresses. Although some SMAPs were available at set prices or free of cost to end users, the cost of other products varied based on availability, shipping fees, and subscription fees. An expanding market for SMAPs with features specific to at-home patient use is emerging. Health care professionals can use these features to select and suggest products that meet their patients' unique requirements.

A direct FE[formula omitted] method for concurrent multilevel modeling of piezoelectric materials and structures

Multiscale piezoelectric materials and structures have shown their promising potential of applications in sensor, energy harvester, actuator and so on. However, the large complexity of such materials and structures poses a significant challenge to the accurate and efficient prediction of their piezoelectric behavior which is significant for guiding and optimizing their applications. In this paper, a Direct FE2 method was proposed for concurrent multilevel modeling of the coupled electromechanical behavior of multiscale piezoelectric materials and structures. The energy equilibrium and kinematic constraints between macro- and meso-scales were satisfied by prescribing periodic boundary conditions for both displacement and electric potential, which were derived from the governing equation of FEM. Another boundary condition was prescribed to the center node of each RVE, to prevent rigid motion and shifting of electric potential of meso-scale RVEs. All these boundary conditions can be easily prescribed to the Direct FE2 using multiple points constraints (MPCs), a commonly used feature in most commercial software. The accuracy, computational efficiency and ease of numerical implementation of the proposed Direct FE2 method were validated using a series of multiscale simulations, including the quasi-static response of homogeneous piezoelectric panels, an arc honeycomb structure, a regular honeycomb structure and a piezoelectric composite panel, as well as the dynamic response of the piezoelectric composite panel. It shows that the proposed Direct FE2 method will be valuable for large-scale simulations of complicated multiscale piezoelectric materials and structures.