Software Cost Research Articles

ANALISIS SUPPLY CHAIN MANAGEMENT (SCM) BUAH JERUK DI DESA PONCOKUSUMO, KABUPATEN MALANG

<p>Citrus fruit commodities cultivated by farmers have supply chain management problems at distribution agents and citrus fruit enthusiasts on a local scale. This study aimed to analyze the supply chain management (SCM) channel, the smoothness of SCM, and the efficiency of SCM in citrus fruits. The research was conducted in Poncokusumo Village, Malang Regency. Collecting data using interviews with respondents farmers and traders of oranges. Measurement of data using a Likert scale ranging from 1 to 5. The descriptive analysis method is used to describe the SCM phenomenon of citrus fruits, including information flow, commodity flow, and financial flow. The results showed 2 channel citrus fruits ended up in small traders. The smoothness analysis of SCM shows that the financial flow from small traders to middlemen is less smooth than the flow of commodities from small traders to large traders. The efficiency index and farmer share results indicate that channel two is efficient. It is recommended that middlemen apply a pre-order system so that packaging costs and transportation costs do not increase and wholesalers should communicate intensely with farmers so that sales information is conveyed directly to wholesalers.</p>

Methodology of CAD design and CAM production of transtibial prosthetic sockets

The digitization of the design process of lower limb prosthetic sockets seems to be necessary. Using modern CAD procedures and CAM technologies, it is possible to produce functional, individual prosthetic aids that bring many benefits compared to commonly used methods. However, the disadvantage of using CAD/CAM procedures can be the input costs for production technology and software. The aim of this research is to propose a low-cost solution for individual transtibial socket design and production. Modern methods and technologies like 3D scanning, CAD design and additive manufacturing have been applied. As a result, a transtibial stump positive and custom socket design methodology is proposed. In conclusions a total value of a custom transtibial socket design and production was calculated.

Problems of wood-based supply chain management in the context of resilience - a case study

This paper outlines the main challenges faced by the supply chain in the wood-based materials sector in the context of building resilience. The research work carried out made it possible to identify the main problems in the selected supply chain from the wood-based industry. They are associated with the occurrence of negative effects, including the destruction of the pallet, aging of goods in the warehouse, high packaging costs, and inefficient transport processes realization, including the processes of handling pallet units. In the context of external risks, a particular challenge is the shortage of raw materials on the market. The analyzed case study is based on the supply chain resilience assessment with regard to resilience potentials evaluation.

Processing of electrical resistivity tomography data using convolutional neural network in ERT-NET architectures

Electrical resistivity tomography (ERT) inversion has emerged as an effective method for predicting resistivity in complex geological structures. In most cases, traditional ERT inversion problems are posed as nonlinear optimization problems. Solving distribution resistivity inversion can be computationally challenging for two reasons: one is the significant cost of software and the other is the issue of local minima. The ERT-NET architecture was developed in this study to learn the parameter regression relationship between geophysical ERT datasets and subsurface models. We developed a novel convolutional neural network (CNN) technique that comprised of a fully connected network (ERT-INET) and a fully convolutional network (ERT-UNET); both train ambiguity information of the inverted resistivity based on processing ERT datasets. We also output our network segmentation of pixel-wise prediction for ERT-INET and structured prediction segmentation. The noise assessments of our network inversion were managed by employing depth of investigation (DOI) and statistical analysis for evaluation performance. The DOI appeared to be effective in conveying the breadth of possibility within our networks. Moreover, the performances are either the synthetic resistivity model or the field resistivity data, both of which have an average of greater than 95%. The inversion results of both architectures are precisely and accurately expressed, containing approximately the ground truth models and thereby also the field observation models. We conclude that these ERT-NET architectures could be one approach to ERT interpretation handling, and we strongly suggest alternatives that promote the geoelectrical method of interpretation.

Problem Faced by the Farmers in Using Information Communication Technology Tools for receiving Rice Production Information

The facilitation of technology transfer to farmers plays a crucial role in enhancing agricultural productivity within the context of Bangladesh. In relation to this matter, a study was undertaken to evaluate the extent of problems faced by the farmers in utilizing Information Communication Technology (ICT) technologies for accessing rice production information. Data were collected from randomly selected 340 ICT tool using rice farmers of four selected districts of Bangladesh. The results indicated that majority (66.2%) of the rice farmers faced severe problem, compared to 27.9% and 5.9% of them faced moderate and low problem respectively in using ICT tools for receiving rice production technologies. Based on Standardized Problem Faced Index, top five severe problems were lack of ICT knowledge of farmers, high cost of internet packages, lack of training in using of ICT tools, high cost of ICT tools and required more time to learn using ICT tools. These problems may be minimized by providing necessary training to the farmers on using ICT tools for receiving rice production information, cost reduction of internet package and ICT tools, providing better internet connectivity, uninterrupted power supply as perceived by the farmers.

Automatic software bug prediction using adaptive golden eagle optimizer with deep learning

In the software maintenance and development process, the software bug detection is an essential problem because it related with the complete software successes. So, the earlier software bug detection is essential to enhance the software efficiency, reliability, software quality and software cost. Moreover, the efficient software bug prediction is a critical as well as challenging operation. Hence, the efficient software bug prediction model is developed in this article. To achieve this objective, optimized long short-term memory is developed. The important stages of the proposed model is preprocessing, feature selection and bug detection. At first the input bug dataset is preprocessed. In preprocessing, the duplicate data instances are removed from the dataset. After the preprocessing, the feature selection is done by Adaptive Golden Eagle Optimizer (AGEO). Here the traditional GEO algorithm is altered by means of opposition-based learning (OBL). Finally, the proposed approach utilizes a long short-term memory (LSTM) based recurrent neural network (RNN) for bug prediction. Long Short-Term Memory (LSTM) network is a type of recurrent neural network. The promise and NASA dataset are considered as the input for bug prediction. the performance of proposed approach is analysed based on various metrics namely, accuracy, F- measure, G-measure and Matthews Correlation Coefficient (MCC).

Особенности управления затратами в компаниях, работающих в сфере информационных технологий

The article defines the peculiarities of calculating the cost of IT products, as well the types of companies pro-ducing them. It is emphasized that an objective assessment of the planned cost of software will help to more accurately predict the future financial result, which will determine the further adoption of management deci-sions. Software development costs necessarily affect its pricing, which largely determines the competitiveness of the future product. The work reflects the results of the authors’ study of the process of formation of labor costs for software production in modern Russian development companies. It is noted that the planning of over-head costs in such organizations is carried out in proportion to labor costs. To improve the effectiveness of their management, the authors developed a deviation matrix used to monitor the level of costs and identify the need for adjusting the planned indicators.

A novel multi-axis pendulum sandwich structure accelerometer

This paper proposes a new scheme of pendulum accelerometer with sandwich structure. In this scheme, the electrical signal on the mass is connected to the wafer surface through glass isolated through-silicon-via (TSV), so that the basic characteristics of the accelerometer can be obtained by wafer-level testing. Compared with the current commercial device process scheme, the packaging and testing cost of the device can be greatly reduced. The glass-in-silicon (GIS) encapsulation caps on both sides of the device are prepared by glass isolated TSV and GIS reflow process. By designing the shape and size of the silicon electrode area and glass area of the GIS caps, the parasitic capacitance between the pendulum structure and the fixed electrode is reduced. Another advantage of using TSV to extract the electrical signal of the mass is that the Z-axis inertial force can be detected when the pendulum structure is placed perpendicular to the direction of gravity acceleration. In addition, electrodes are grown on the side of the split device, and when the pendulum structure is placed parallel to the direction of gravity acceleration, the inertial force of the XY-axis can be detected. The test shows that when the range of the pendulum accelerometer based on this scheme is ±2 g, the noise density of the accelerometer is 42 μg √Hz−1 (X-axis), 40 μg √Hz−1 (Y-axis) and 27 μg √Hz−1 (Z-axis), and the bias instability is 6.6 μg (X-axis), 7.1 μg (Y-axis) and 6.8 μg (Z-axis), reaching the level of commercial devices.

A simultaneous facility location and vehicle routing problem with recyclable express packaging consideration for sustainable city logistics

Environmental pollution from express packaging waste is a crucial issue for the development of sustainable city logistics. The use of recyclable express packaging can reduce resource consumption and pollution, but it also leads to additional recycling time and costs. To manage this problem, this paper considers the joint optimization of express parcel delivery and recyclable express packaging recycling. The optimization problem is defined as a simultaneous location and vehicle routing problem with simultaneous pickup and delivery. To exploit better potential to balance vehicle working time and operating costs, a bi-objective mixed integer linear programming model is developed. Numerical experiments show that the proposed method provides a more feasible allocation for facility location and route planning. The cost savings from REP recycling account for 45.36% of the operating costs, which means that the packaging costs are saved and the burden of express packaging waste on the urban environment is correspondingly alleviated. The joint optimization of delivery and recycling is helpful to promote the forward and backward connection of the industrial chain and supply chain, which can provide a reference for recycling network planning in the large-scale application of recyclable express packaging and contribute to sustainable city logistics.

Application of Data-Driven Building Information Modeling in the Visual Simulation of Disease Transmission and Route with Pipeline System

Currently, preventing epidemics is an extremely critical global topic. Using present data to quickly conduct virus simulations is a difficult but interesting problem, especially when real situations are difficult to experimentally demonstrate. In the past, most studies have used package software for disease transmission simulation, but this approach is limited by availability and software cost. Therefore, we propose a visual simulation of disease transmission using building information modeling data and a 3D model using Unity. The results show that the proposed method can effectively predict the probability and route of disease transmission; it also verifies that the vertical pipeline on the floor plane is conducive to the spread of the virus (90%), and disease transmission on the plane gradually expands outward from the starting room and has a higher probability of spreading (80%) from the opposite room. In addition, a vertical pipeline was simulated using a toilet exhaust air ventilation pipeline, from which it can be observed that the adjacent floors have a higher diffusion probability (70%). It has also been confirmed that distance is the primary factor affecting disease transmission. This framework may provide designers and managers further protection against the spread of future epidemics.

Direction finding of electromagnetic radiation sources using the volumetric phased arrays consisting of the small number of elements

Problem statement. This article proposes a method to measure the bearing of electromagnetic radiation sources in the conditions of passive interference with multipath propagation and in the conditions of using "rough" (small number of elements) statistics taking into account particular design features of the direction finder located on a mobile object. The technical design of an adaptive direction finder (ADF) with a small number of channels M = 7 and “short spatial samples” m = 2 (bases) is substantiated, which leads to reducing hardware and software costs. Target. Determine the method of direction finding of electromagnetic radiation sources by volumetric phased arrays consisting of the small number of elements, which allow for the presence of passive interference with multipath radiation of electromagnetic radiation sources, and include spatial digital filters (DF) of a low order r = 2. Results. The problem of measuring the bearing of electromagnetic radiation sources under the conditions of correlated multipath passive interference and limited hardware and computing resources was solved. Direction finder includes a 7-element monopulse direction finder, which was built according to a sequential scheme at the nodes of a volumetric hexagonal grid with an equivalent spatial quantization step of 0.5l, forming programmable small-sized bases with a size of no more than l using the method of multiplexing (HF switching). Practical significance. The relevance of the proposed approach is substantiated due to the need to notch "multipath components", parasitic reflections from local objects surrounding the adaptive direction finder, and reduce the instrumental error in bearing measurement. A new approach to the construction of a volumetric phased array of an adaptive direction finder is proposed. Novelty. The synthesis of the optimal estimate is based on the principle of “whitewashing” passive correlated interference and the maximum likelihood method, which guarantees the achievement of potential direction finding accuracy in the conditions of using rough statistics that reduce hardware and software costs.

Packaging innovation scorecard

AbstractInnovation literature shows that the characteristics of a company's innovation processes determine their performance in different areas. In this study, we adopt a general conceptual model from innovation theory and apply it to packaging innovation. This helps identify and describe subprocesses in packaging innovation and how to measure their performance. It also links the packaging innovation process to the cost and climate performance of packaging. Based on the modified model for packaging innovation, the purpose of this paper is to develop and apply a scorecard for assessing the packaging innovation process.The first step in the methodology was the conceptual development of a model describing the packaging innovation process and a scorecard for assessing this process. The second step was to demonstrate and validate the scorecard in a case study covering packaging innovation at a major retail company. Data were captured from six semi‐structured interviews and two workshops, as well as observations and site visits.The conceptual model defines packaging innovation using seven interrelated subprocesses and their impacts on cost and climate performance. The scorecard that was developed in the research study describes how to measure the subprocesses and their output. The quality of each of the seven processes is measured on two to four dimensions. Each dimension can reach a score of one to four, where each score is clearly defined.The case study showed that the scorecard seems to be an effective way of measuring the complex packaging innovation process and identifying concrete ways to improve packaging innovation. The case study validated the scorecard and demonstrated how it can be applied. The application also showed how the case company performs in packaging innovation compared to best practice in each subprocess. The validation showed that the scorecard is sufficiently functional and useful, although it requires input from multiple sources. The usability could only be partly assessed—it showed promising value as a basis for formulating action plans—but future studies should validate the scorecard's long‐term usefulness in creating action plans and assess their impact.The theoretically‐based scorecard is novel in terms of assessing packaging innovation and its impact on packaging performance in supply chains. It links the packaging innovation process to performance and helps companies identify improvement possibilities. The paper shows how the scorecard helps address packaging issues strategically by measuring the activities conducted in the packaging innovation process. One limitation of the study is that the long‐term usefulness of the scorecard could not be validated, as the validation would take longer than the time available for this study.

Are Chinese residents willing to pay for green express packaging and to participate in express packaging recycling?

The rapid development of e-commerce has resulted in a significant increase in express packaging, causing serious environmental pollution and resource waste problems. To achieve green governance of express packaging, both government regulations and corporate participation must be implemented. However, the crucial role played by consumers who ultimately use express packaging should not be overlooked. This paper adopts a consumer-oriented perspective and utilizes first-hand survey data, along with principal component analysis, probit regression, and conditional value evaluation methods to explore whether residents are willing to pay for green express packaging and participate in express packaging recycling. The results show that consumers’ choice of green express packaging is mainly influenced by four factors, including packaging quality factors, political and environmental factors, other packaging factors, and commodity factors. Notably, 70% of residents surveyed are willing to pay a premium for green express packaging, with the average premium being CNY 2.46 or 15.8% of the total cost for green express packaging. Furthermore, residents are likely to participate in express packaging recycling if they are given an economic incentive of CNY 0.93 or 6.9% of the cost per packaging. Based on these findings, this paper provides targeted policy recommendations to address relevant issues.

Design Analysis of Dehydration Trays for Farm Products

Abstract: Dehydration of fruits and vegetables is one of the oldest types of preservation techniques well known to man and consists mainly of sun drying or artificial drying of fruits and vegetables. Although food preservation is the primary reason for dehydration, dehydration of fruits and vegetables also reduces the cost of packaging, storage and transportation by reducing the burden and volume of the final product.

Detecting Bugs in Software using Supervised Machine Learning Approaches

Abstract: Software Flaw Projection (SFP) is an important issue in software development and maintenance process. Software flaws can cause significant problems for software development teams. So, projecting the software faults in earlier phase improves the software quality, reliability, efficiency and reduces the software cost. However, developing robust flaw projection model is a challenging task and many techniques have been proposed. Projecting the likelihood of flaws occurring in software can help developers prevent or mitigate their impact. This paper presents a software flaw projection model based on Machine Learning (ML) algorithms. Supervised ML algorithms have been used to predict future software faults based on historical data. The evaluation process proved that ML algorithms can be used effectively with high accuracy rate. Furthermore, a comparison measure is applied to compare the proposed prediction model with other approaches. The collected results showed that the ML approach has a better performance

PERCEPTIONS, PROFITABILITY AND DETERMINANTS OF GRANULATED CASSAVA PACKAGING IN KUMASI METROPOLIS, GHANA

Packaging does not only protect a product but also provides directions for using the product, as well as relevant information about its content and nutritional value. This study was undertaken to assess Granulated Cassava (Gari) sellers’ perception, profitability and determinants of packaging in Ashanti Region. The study area was purposively selected because of the active participation and contribution of marketing activities. A structured questionnaire was administered in the form of interview to obtain primary data from the respondents. Data was generated using binary and multinomial logit regression model and Garret ranking technique. The results showed that there is 0.11% difference in the gross margin of both ventures which is also statistically significant at 1%. Years of education, legal requirement, and durability of the packaging material and cost of packaging material were the significant factors that influence sellers’ choice of packaging. Lack of technical know-how, cost of capital equipment and lack of knowledge on packaging equipment and/or material were the most limiting constraints affecting Gari packaging. The study recommends that investors should invest in the Gari packaging business since it has a relatively higher rate of returns as compared to the unpackaged one.

Cost analysis of an intrapartum quality improvement package for improving preterm survival and reinforcing best practices in Kenya and Uganda.

Preterm birth is a leading cause of under-5 mortality, with the greatest burden in lower-resource settings. Strategies to improve preterm survival have been tested, but strategy costs are less understood. We estimate costs of a highly effective Preterm Birth Initiative (PTBi) intrapartum intervention package (data strengthening, WHO Safe Childbirth Checklist, simulation and team training, quality improvement collaboratives) and active control (data strengthening, Safe Childbirth Checklist). In our analysis, we estimated costs incremental to current cost of intrapartum care (in 2020 $US) for the PTBi intervention package and active control in Kenya and Uganda. We costed the intervention package and control in two scenarios: 1) non-research implementation costs as observed in the PTBi study (Scenario 1, mix of public and private inputs), and 2) hypothetical costs for a model of implementation into Ministry of Health programming (Scenario 2, mostly public inputs). Using a healthcare system perspective, we employed micro-costing of personnel, supplies, physical space, and travel, including 3 sequential phases: program planning/adaptation (9 months); high-intensity implementation (15 months); lower-intensity maintenance (annual). One-way sensitivity analyses explored the effects of uncertainty in Scenario 2. Scenario 1 PTBi package total costs were $1.11M in Kenya ($48.13/birth) and $0.74M in Uganda ($17.19/birtth). Scenario 2 total costs were $0.86M in Kenya ($23.91/birth) and $0.28M in Uganda ($5.47/birth); annual maintenance phase costs per birth were $16.36 in Kenya and $3.47 in Uganda. In each scenario and country, personnel made up at least 72% of total PTBi package costs. Total Scenario 2 costs in Uganda were consistently one-third those of Kenya, largely driven by differences in facility delivery volume and personnel salaries. If taken up and implemented, the PTBi package has the potential to save preterm lives, with potential steady-state (maintenance) costs that would be roughly 5-15% of total per-birth healthcare costs in Uganda and Kenya.

Effect of Cloud Accounting Characteristics on Performance of Listed Food and Beverages Companies in Nigeria

The study examined the effect of cloud accounting characteristics on the performance of listed food and beverage companies in Nigeria. Cloud accounting characteristics were proxied by the Cost of Software (COSW), Cost of Risk (CORSK), and Cost of Training (COTR), while Return on Equity (ROE) and Market Value (MKV) were used to measure performance. The population of the study comprises all twenty-three (23) food and beverage companies listed on the Nigerian Stock Exchange (NSE) as of December 31, 2021. A purposeful sampling technique was used to choose ten (10) foods and beverages, with secondary data needed for the study of ten (10) years (2012–2021). The study employed the multiple regression analysis technique. The findings revealed that COSW had a negative and significant effect on ROE and MKV. However, COTR has a positive and significant influence on ROE and MKV. The study concluded that COSW and COTR have a significant effect on the performance of food and beverage companies in Nigeria. Hence, the study recommended that food and beverage companies in Nigeria should ensure mechanisms to regulate the cost of training to enjoy the maximum benefit of cloud accounting.

ОРГАНИЗАЦИОННО-ЭКОНОМИЧЕСКИЙ АНАЛИЗ ВОЗМОЖ-НОСТЕЙ РАЗВИТИЯ ПРОГРАММНЫХ ПРОДУКТОВ, ИСПОЛЬЗУЕМЫХ ПРИ ПРОЕКТИРОВАНИИ ИНЖЕНЕРНЫХ СИСТЕМ

The article analyzes the state of modern software tools and computer model-ing products that are used to design engi-neering systems for commercial, social, in-dustrial infrastructure. On its basis, issues related to organizational, legislative and li-censing capabilities and the cost of various software are considered, as well as the topic of modernization and transformation of do-mestic developments in the market of engi-neering computer-aided design.

Analytical Modeling of High-Frequency Winding Loss in Round-Wire Toroidal Inductors

Toroidal inductors are used in many industrial applications in which they are key components regarding cost and volume. In the inductor design process, it is paramount to accurately estimate its high-frequency winding loss. Finite element analysis (FEA) software and analytical models can be used for this purpose. However, the former employs too much time and the latter lacks accuracy when applied to toroidal windings, leading to an overestimation that can exceed 200%. As a consequence, designers would benefit from a reliable method to calculate high-frequency loss in toroidal windings. This paper proposes an analytical model that considers the 2-D characteristic of the magnetic field and the geometrical particularities of toroidal windings. Furthermore, it provides an easy-to-use method, which avoids the unaffordable computational cost of FEA software. Simulations and experimental measurements are carried out for six toroidal power inductors, from 10 Hz up to 200 kHz. Three different well-known state-of-the-art analytical models are used for comparison purposes. The results obtained with the proposed model are in good agreement with those from FEA and the experiments. The proposed model shows a maximum deviation below 20%, while the overestimation of the existing analytical methods reaches values from 93% to 226%.