Investment In Software Development Research Articles

Lessons learned from establishing and running a Mössbauer laboratory in industry

Mössbauer spectroscopy offers unique capabilities for primary industry sectors such as mining, mineral processing, and steelmaking, as well as in environmental services and advanced manufacturing. However, there are three key limiting factors: the time required to record a single spectrum, the challenges of managing an additional radioactive source on company premises, and the lack of personnel skilled in analysing Mössbauer spectra and understanding its operation. More commonly used techniques such as XRD, SEM, or XRF have technical staff who can interpret data with support from standard libraries and user-friendly software packages. In contrast, Mössbauer spectroscopists, who often hold degrees in Physics or Chemistry, typically emerge from academic settings and are less commonly employed in industry. This paper addresses the current challenges limiting the widespread adoption of Mössbauer laboratories in the industry and proposes potential solutions to overcome these obstacles. These solutions include promoting internships for undergraduate and postgraduate students familiar with Mössbauer spectroscopy in industrial settings, increasing investment in software development, hosting seminars and workshops to educate industry professionals on the capabilities of Mössbauer spectroscopy, and providing ongoing support from the scientific community to industries interested in operating spectrometers in their facilities.

Artificial intelligence in healthcare and medicine: the history of key events, its significance for doctors, the level of development in different countries

The article is devoted to analysis of the stages of development and current directions of research and practical application of artificial intelligence (AI) in the field of healthcare and medicine based on scientific publications in PubMed/MEDLINE, Scopus, Web of Science, Embase, eLibrary and CyberLeninka. The dynamics of scientific publications on AI in healthcare and medicine is shown, and an analysis of the growth of investments in software development based on AI in recent years is provided. AI can achieve comparable accuracy in the diagnosis of diseases in comparison with human decisions. However, future research should focus on comparing the clinical results of diagnosis and treatment performed by doctors who make decisions based on AI with the results of clinical work by doctors who do not use AI. The importance of training specialists able to combine knowledge in the field of medicine with the skills of using AI is emphasized.

Optimizing the Impact of Security Attributes in Requirement Elicitation Techniques using FAHP

Software security is a key issue in the domain of software engineering which attracts attention from both the industry and academia. Besides, due to the massive investment in software development, security is in much demand. The selection of appropriate software development model is an increasingly challenging task. Security attributes play a vital role while designing security during software development. Each attribute has its importance during requirement elicitation procedure. This is based upon the user’s demand, organization resources, and sensitivity of the information. Hence, developers should understand the significance of each attribute while collecting the user requirements for developing software. In this paper, authors have proposed an approach for prioritization of these attributes using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) method. A literature survey reveals that critical security attributes such as Integrity, confidentiality, Authentication, Effectiveness, Availability, Access Control and Authorization. This will help developers to improve software security for longer.

3D 깊이 카메라를 활용한 직관적인 사물인터넷 인터페이스 시스템에 관한 연구

The decline in the price of IT devices and the development of the Internet have created a new field called Internet of Things (IoT). IoT, which creates new services by connecting all the objects that are in everyday life to the Internet, is pioneering new forms of business that have not been seen before in combination with Big Data. The prospect of IoT can be said to be unlimited in its utilization. In addition, studies of standardization organizations for smooth connection of these IoT devices are also active. However, there is a part of this study that we overlook. In order to control IoT equipment or acquire information, it is necessary to separately develop interworking issues (IP address, Wi-Fi, Bluetooth, NFC, etc.) and related application software or apps. In order to solve these problems, existing research methods have been conducted on augmented reality using GPS or markers. However, there is a disadvantage in that a separate marker is required and the marker is recognized only in the vicinity. In addition, in the case of a study using a GPS address using a 2D-based camera, it was difficult to implement an active interface because the distance to the target device could not be recognized. In this study, we use 3D Depth recognition camera to be installed on smartphone and calculate the space coordinates automatically by linking the distance measurement and the sensor information of the mobile phone without a separate marker. Coordination inquiry finds equipment of IoT and enables information acquisition and control of corresponding IoT equipment. Therefore, from the user’s point of view, it is possible to reduce the burden on the problem of interworking of the IoT equipment and the installation of the app. Furthermore, if this technology is used in the field of public services and smart glasses, it will reduce duplication of investment in software development and increase in public services.

THE THEORETICAL ASTROPHYSICAL OBSERVATORY: CLOUD-BASED MOCK GALAXY CATALOGS*

ABSTRACT We introduce the Theoretical Astrophysical Observatory (TAO), an online virtual laboratory that houses mock observations of galaxy survey data. Such mocks have become an integral part of the modern analysis pipeline. However, building them requires expert knowledge of galaxy modeling and simulation techniques, significant investment in software development, and access to high performance computing. These requirements make it difficult for a small research team or individual to quickly build a mock catalog suited to their needs. To address this TAO offers access to multiple cosmological simulations and semi-analytic galaxy formation models from an intuitive and clean web interface. Results can be funnelled through science modules and sent to a dedicated supercomputer for further processing and manipulation. These modules include the ability to (1) construct custom observer light cones from the simulation data cubes; (2) generate the stellar emission from star formation histories, apply dust extinction, and compute absolute and/or apparent magnitudes; and (3) produce mock images of the sky. All of TAO’s features can be accessed without any programming requirements. The modular nature of TAO opens it up for further expansion in the future.

A Survey on Software Bug Evaluation

The costs of erroneous software can be as of the investment in software development. Yet, the potential to improve software quality and reduce project cost is enormous. Bug tracking and fixing can be an effective means to achieve quality i.e. error free at less cost. A System guides the maintenance activities of software developer’s team who earlier, face the problem in fixing bugs. Non-availability of bug in a system in market makes fixing process difficult. Presently Bug fixing is timeconsuming and exacerbates the already high cost of software maintenance which affects scheduled performance. This paper discusses a system that evaluates bugs and assigns priority on the basis of severity to fix them efficiently. .

High Performance Computing: Current Issues and Future Challenges

igh Performance Computing (HPC), the capability of people to achieve computational objectives on existing computers, has made fantastic progress over the past decades. The situation today is excellent in many respects—high performance processors are relatively inexpensive, we understand how to build intermediately-sized parallel computers with scalable performance and cost, and more academic and industry groups than ever before have direct access to HPC resources. For example, such HPC systems are widely used to solve complex application problems in biology, chemistry, physics, mathematics, almost every engineering discipline, and even business and finance. However, current HPC systems have a number of deficiencies that limit their application. For example, the programming environment for parallel computers has improved significantly but still represents a daunting challenge for many potential users. The capability to store and manipulate the large-scale data sets generated by many simulations on today's HPC machines is often prohibitively expensive. And finally, software reuse and interoperability is almost nonexistent in many communities, which forces substantial investments in software development and severely limits the potential benefits of HPC resources. Given this current situation, I would like to briefly address, from the perspective of the JACIC community, what I think the current issues and future challenges are in High Performance Computing.

Linking computational neuroscience simulation tools—a pragmatic approach to component-based development

Many problems in computational neuroscience require sophisticated software systems that are beyond the development scope of a single individual or research group. Realizing such systems with minimal redundant effort requires cooperation among software developers and the adoption of design strategies and technology from the software industry. We are working on neuroscience-specific frameworks for modelling tools aimed specifically at maximising the benefits from of investment in software development by encouraging the reuse of software components and at facilitating model development by establishing shared formats for model description. The techniques employed include component technology for coupling parts of applications, XML file standards based on NeuroML for model and data exchange between applications and databases, and peer-peer web based indexing of models and modules. This paper describe progress to date in the modularization of simulation and analysis functions from NEURON, Catacomb and NEOSIM.

Software Protection Techniques: Control Issues for is Auditors

S oftware can be duplicated and modified easily and inexpensively.There does not seem to be much agreement on the best way legally to protect software products against unlawful copying or altering.IS auditors and others who are interested in protecting their organization's investment in software development should learn as much as they can about using the legal tools that are available.

Growing importance of marketing strategies for the software industry

The paper examines the appropriability problem (i.e., the inability of firms to profit fully from their innovations) with respect to investments in intellectual property development in general and software in particular; evaluates marketing, legal, and technological dimensions of the appropriability issue in the global software industry; and concludes that increasingly firms will supplement legal mechanisms with investments in complementary marketing assets and development of marketing strategies aimed at strategic alliances and diversification into related services in order to enhance the appropriability of the fruits of their investments in software development.

Measurement of muscle fibre diameter by computer-aided image analysis

We describe an experiment to measure widths of muscle fibres by four methods, one manual and three based on interactive computer graphics using an image analyser. In all cases the width is defined as the length of a line associated with the fibre. This line may be defined by the observer directly or deduced by the computer from the fibre outline defined by the observer. Interactive computer graphics allow the speed to be increased fivefold with no loss in reproducibility in return for a small investment in software development. The speed might be further increased, perhaps tenfold, by the use of computerized image analysis based on densitometry but the number of analyses required per annum is not sufficient to justify the larger investment in software development that this would entail. The cost might be further decreased by the use of a simpler computer system.

HARTRAN: A digital description language

A hardware description language, HARTRAN, is described and an application to the design of logic system illustrated. The language is based on FORTRAN and uses the same character set, so that a HARTRAN-based design system may be implemented with a modest investment in software development and training. Parallel operations and their description are an integral part of the language. The use of HARTRAN at the top level of design should fill an important gap in the designer's repertoire and bring increased confidence and precision to the early stages of complex designs.