فیلترهای جستجو:
فیلتری انتخاب نشده است.
نمایش ۱۸۱ تا ۲۰۰ مورد از کل ۲٬۸۹۲ مورد.
حوزههای تخصصی:
The main drivers of value creation in a ‘brand community’ are social networking, community engagement, impression management, and brand use. Marketers are therefore interested in determining which factors affect the value creation practices. This study examines the impact of the Interactivity of Electronic Word of Mouth (EWOM) systems on value creation practices in a brand community, which in turn influences the loyalty of the customers. In this regard, a conceptual model was developed and tested by the researchers of the current study. The results indicate that perceptions of the users regarding the interactivity of EWOM systems, highly impact only three of the four value creation practices including community engagement practices, impression management practices, and brand use practices. Furthermore, the researchers found that collective value creation practices could significantly and directly enhance brand loyalty. Several theoretical contributions and managerial implications were also discussed
Stress-Testing Technologies of Financial Stability of Financial Corporations: Aspect of Insurance Companies(مقاله علمی وزارت علوم)
حوزههای تخصصی:
The purpose of the article is to perform stress-testing technologies of the financial stability of an insurance company based on the constructed mathematical model of the insurance company's activity, which would meet the established requirements (adequate reproduction of the main parameters of the insurance company's functioning; taking into account the stochastic nature of insurance processes; flexible management of model parameters describing company's behaviour; the ability to influence the intensity of flows; suitability for algorithmization and construction of computational simulation model. The relevance of this study is due to the need to address the problem of changes and complications, the growing variety of strategies and products implemented by insurance companies. There is a need for innovative methods to assess and monitor the vulnerability of these institutions to various types of risks. One of these methods, which is gaining widespread recognition both among regulators and financial corporations, is stress testing. It has been established that stress testing as a risk management tool is used both to assess the insurance company's readiness for a crisis situation, and to develop a plan of adequate measures to counteract and eliminate its negative impact. The development and application of the proposed mathematical and simulation model of stress testing of the financial stability of the insurance company allows to solve issues of ensuring sufficiency of capital level, control of financial stability and solvency, reliability of efficiency of activities, taking into account the probabilistic nature of insurance activities, various typical insurance risks and time horizons.
Information Systems in Fiscal Administration and Modeling of Excise Tax(مقاله علمی وزارت علوم)
حوزههای تخصصی:
The purpose of the article is to substantiate the fiscal role of the excise tax by studying its information and functional potential and to model the dynamics of its payment by the brewing industry. Excise tax occupies a special place in a tax system of each state because, in addition to significant fiscal importance, it has a considerable regulatory impact on the production and consumption of certain categories of goods. Based on information systems in the article analyses and monitors the indicators of the excise tax payments on goods produced in Ukraine on the example of a particular enterprise in the brewing industry. By means of the initial data analysis of autocorrelation functions of volumes’ indicators of the accrued excise taxes on beer the expediency of modelling realization of such indicator dynamics on the basis of ARIMA model is proved. The analytical and statistical approaches to the formation of models for the implementation of forecast for the calculation of excise tax on beer of brewing industry enterprises are improved. The proposed approach is based on the values of autocorrelation of balances and partial autocorrelation, as well as methods of analysis of time series with gaps, which allows to use it in the economic activity of enterprises to make forecasts for the calculation and payment of the excise tax. This will produce financial effects for the brewing industry in terms of cost optimization and minimization of the excise tax risks.
The Effect of COVID-19 on Information Technology (IT) Marketing and Digital Business in Global Market(مقاله علمی وزارت علوم)
حوزههای تخصصی:
The worldwide Covid-19 epidemic while affecting numerous places, has had a profound effect on virtual advertising and advertising and, globally, in the provinces and at the neighborhood level. except, this effect for the most element become positive, in contrast to what has seen in exclusive sectors which include economy, human sources, etc., whilst contamination reasons a variety of incapacity amongst clients and advertisers alike, in phrases of welfare, social work, inflation, business, and many others., the equal shifted conduct goes as a long way as running. , investing strength, getting into self-schooling, adopting new programs from the internet, expanding social and hygiene concerns, retaining distance strategies from complete regions, internet-based media willpower, get right of entry to online sources, etc., and this has greatly impacted the display and endorsed efforts. The moral movement has moved past the PC and digital international, which places open doors for advertisers and products to connect with clients more efficiently than ever before. With the arrival of expanded online media and the call for pc-generated content material, the evolved Media have given advertisers a part of the monetary freedom. At the equal time, this has, in turn, enabling advertisers to be extra proactive and to engage with the public at the same time as appearing excessive excellent demonstration programs. The purpose of this study is to explore, investigate, and recognize the effect of coronavirus on the digital market and businesses.
Impact of Review, Reviewer and Hotel Characteristics on Ewom Helpfulness: An Empirical Study(مقاله علمی وزارت علوم)
حوزههای تخصصی:
Electronic word of mouth (eWOM) has been gaining popularity pertaining to its numerous benefits and ability to be applied in various fields. It helps consumers in making informed decisions and aids service providers in delivering an enhanced service or product. Despite all these benefits, dealing with the huge amounts of eWOM is a consistent problem. eWOM helpfulness comes handy in order to address this issue. In this study, we utilize 16699 hotels related eWOM written by 1099 reviewers which are collected from TripAdvisor.com. Our main objective is to analyze which factors impact eWOM helpfulness and how. For this purpose, eight unique variables belonging to three different categories are selected (eWOM length, eWOM subjectivity, eWOM polarity, eWOM readability, eWOM recency, hotel rating, reviewer badge and reviewer helpfulness) and are analyzed using econometric modelling. Our findings show that hotel rating as well as reviewer badge and helpfulness enjoy a positive significant relationship with eWOM helpfulness. It also suggests that eWOM length, readability and subjectivity positively influences eWOM helpfulness though eWOM polarity and recency are found to have an inverse relationship with the helpfulness of eWOM. Thus, our study reports that review, hotel and reviewer characteristics impact eWOM helpfulness in different ways. This study is summarized with the discussion of theoretical and practical implications.
Artificial Intelligence Driven Human Identification(مقاله علمی وزارت علوم)
حوزههای تخصصی:
Human Identification has been widely implemented to enhance the efficiency of surveillance systems, however, systems based on common CCTV (closed-circuit television) cameras are mostly incompatible with the advanced identification algorithms which aim to extract the facial features or speech of an individual for identification. Gait (i.e., an individual’s unique walking pattern/style) is a leading exponent when compared to first-generation biometric modalities as it is unobtrusive (i.e., it requires no contact with the individual), hence proving gait to be an optimal solution to human identification at a distance. This paper proposes an automatic identification system that analyzes gait to identify humans at a distance and predicts the strength of the match (i.e., probability of the match being positive) between two gait profiles. This is achieved by incorporating computer vision, digital image processing, vectorization, artificial intelligence, and multi-threading. The proposed model extracts gait profiles (from low-resolution camera feeds) by breaking down the complete gait cycle into four quarter-cycles using the variations in the width of the region-of-interest and then saves the gait profile in the form of four distinct projections (i.e., vectors) of length 20 units each, thus, summing up to 80 features for each individual’s gait profile. The focus of this study revolved around the speed-accuracy tradeoff of the proposed model where, with a limited dataset and training, the model runs at a speed of 30Hz and yields 85% accurate results on average. A Receiver Operating Characteristic Curve (ROC) is obtained for comparison of the proposed model with other machine learning models to better understand the efficiency of the system
ارائه مدلی برای هوشمندسازی کسب وکارها (موردمطالعه: صنعت بیمه)(مقاله علمی وزارت علوم)
منبع:
مدیریت دانش سازمانی سال پنجم تابستان ۱۴۰۱ شماره ۱۷
49 - 76
حوزههای تخصصی:
در سال های اخیر، رشد و گسترش تولید داده در حوزه های مختلف، ضمن ایجاد چالش هایی در مورد مدیریت آن ها، فرصت هایی را برای دست یافتن شرکت ها به پیش بینی های دقیق تر در مورد تغییرات محیطی فراهم کرده است. بنابراین، نیاز به یک ابزار تشخیصی متخصص برای موقعیت یابی شایستگی های مدیریت دانش و هوشمندی کسب و کار برای بهینه سازی جامع تحلیل استراتژیک و پشتیبانی تصمیم گیری هوشمند مدیریت عملکرد استراتژیک سازمانی وجود دارد. در حقیقت ابزارهایی مانند هوشمندی کسب و کار با شناسایی روندهای محیطی، زمینه تصمیم گیری و اقدام به موقع را برای سازمان فراهم می کند. از سوی دیگر یکی از شاخص های توسعه یافتگی اقتصاد کشورها، میزان توسعه صنعت بیمه در آن کشورها است. استفاده از فناوری در صنعت بیمه به منظور دسترسی بیشتر افراد به خدمات مالی، بیش از پیش مورد توجه قرار گرفته، به گونه ای که کسب وکارهای نوپای بیمه با خلق ارزش پیشنهادی یکتا و بهبود مدل کسب وکار وارد عرصه رقابت با شرکت های سنتی بیمه ای شده اند. در این پژوهش، یک الگو برای کسب و کار هوشمند در صنعت بیمه طراحی شد. در این پژوهش برای نظریه پردازی از نظریه داده بنیاد و یافته های کیفی با نرم افزار مکس کیودا (MAXQDA) تحلیل و نهایتا برای طراحی مدل از چارچوب مدل پارادایم نظریه داده بنیاد اشتراوس و کوربین استفاده شده است. مشارکت کنندگان در این پژوهش، خبرگان و مدیران صنعت بیمه هستند که تعداد آن ها 16 نفر بوده و بصورت قضاوتی هدفمند انتخاب شدند. با تحلیل داده ها تعداد 5 مورد مقوله استخراج گردید که نهایتا با تعیین شرایط علی (کیفیت در دسترس پذیری، پذیرش الکترونیک و ریسک ادارک شده)، شرایط زمینه ای (محدویت های اینترنت، زیرساخت های ICT و سیاست های بیمه ای)، شرایط مداخله گر (سطح دانش کاربران، نگرش مدیران و امنیت ادراک شده «محرمانه بودن»)، مقوله محوری (هوشمندسازی صنعت بیمه)، راهبردها (تقویت فرهنگ استفاده از اینترنت، توسعه امنیت دیجیتال و توسعه سطح دانش) و پیامدها (دستیابی به فرصت های رشد، مزیت رقابتی و سودآوری) مدل هوشمندی کسب و کار صنعت بیمه ارائه گردید.
نگاشت نظام یافته پژوهش های هوشمندی کسب و کار در نشریات علمی-تخصصی منتخب: شناسایی خلاهای پژوهشی و پیشنهاد برای پژوهش های آتی(مقاله علمی وزارت علوم)
منبع:
مطالعات مدیریت کسب و کار هوشمند سال دهم بهار ۱۴۰۱ شماره ۳۹
127 - 162
حوزههای تخصصی:
با توجه به گسترش کاربرد سیستم های اطلاعاتی، حجم زیادی از داده ها در سازمان ها ذخیره شده است که تجزیه و تحلیل این داده ها منبع بسیار ارزشمندی برای کمک به تصمیم گیری بهتر می باشد. این موضوع که با مفهوم هوشمندی کسب وکار شناخته می شود یکی از مهمترین عوامل موفقیت سازمان ها در دنیای معاصر می باشد. با توجه به اهمیت این موضوع ضرورت دارد که پژوهش های انجام شده در کشور در حوزه هوشمندی کسب وکار بصورت نظام مند بررسی شود. هدف از این تحقیق شناسایی موضوعات بررسی شده در مجلات علمی- تخصصی، تحلیل وضعیت پراکندگی و فراوانی مطالعات، شناسایی روش های پژوهش، هدف مقالات، سطح تحلیل پژوهش های هوشمندی کسب وکار و سرانجام شناخت خلاهای پژوهشی در این حوزه و ارائه پیشنهادات آتی است. بدین منظور پژوهش با تحلیل داده های ثانویه و مرور نظامند دانش موجود هوشمندی کسب وکار در 6 پایگاه داده منتخب انجام شد. بدین منظور 2108 مقاله بررسی شده که در بررسی اولیه 1274 مقاله انتخاب و با مطالعه چکیده های مقالات، 91 مقاله مورد تایید قرار گرفت. در نهایت با مد نظر قرار دادن معیارهای حذف، 81 مقاله نهایی انتخاب و مورد تحلیل قرار گرفت. نتایج پژوهش نشان می دهد که بیشترین پوشش موضوعی هوشمندی کسب وکار در این مجلات با موضوع خاص مدیریت دانش و موضوع عام، ابزارهای هوشمندی کسب وکار با 44.45 درصد، بیشترین روش تحقیق مورد استفاده توصیفی پیمایشی با 34.57 درصد، بیشترین هدف کاربردی با 82.71 درصد و بیشترین سطح تحلیل مورد استفاده، سطح تحلیل جامعه با 66.66 درصد می باشد. در نهایت خلاهای پژوهشی در قالب پیشنهادات آتی ارائه شد.
Evaluation of the quality of website about health using marketing scoring(مقاله علمی وزارت علوم)
حوزههای تخصصی:
The article explores approaches to assessing the quality of health care sites. The main components of evaluation are identified. The author's toolkit for health site evaluation is offered. It is based on the three branches of resource competitiveness (content, technical and marketing components). Twenty parameters of site quality calculation are defined, which have the scale and are supported by determining the weights of components. The scaling of the resulting indicator is proposed. It allows designation of the level of development of the particular site in the field of health. The practical approbation of the proposed method was carried out on the example of Ukrainian sites on the topic of rehabilitation and disease prevention. The diagram of the grouping of websites on a level of development of separate components is constructed to define the further directions of work with these sites to strengthen their competitive positions in the "Health" category. The author's typology of health sites depending on the calculated numerical combinations of the quality assessment level of components is given. It also describes the state of the "ideal" mix of components of the health site, which is formed based on the balance of individual elements.
Blockchain for Project and Construction Management; A Systematic and Scoping Literature Review(مقاله علمی وزارت علوم)
منبع:
Journal of Information Technology Management , Volume ۱۴, Special Issue: The business value of Blockchain, challenges, and perspectives, ۲۰۲۲
107 - 143
حوزههای تخصصی:
At this time in history that the world is becoming smaller every day due to globalization; it is important to achieve an acceptable degree of trust and confidence in any field; and blockchain can put the world on this path. Since there is no central authority governing blockchain, its decentralized nature can turn it into an appropriate platform for project management. Implementing blockchain eliminates project management bureaucracies and allows a single, unchangeable, controllable, and encrypted source to be accessible to everybody and extensible throughout the project life cycle. This approach is the key to achieve an integrated information system and is one of the important reasons for blockchain applicability as an ideal platform for project management and construction. This issue that using blockchain technology in project management will bring about capacities and capabilities has not yet been seriously addressed. Changing the management of construction projects by blockchain is just an idea for now. This study aims to identify the capacity and platforms for developing blockchain technology in project management and construction using systematic and scoping literature reviews. Moreover, it provides some suggestions about the development and improvement areas of this technology. The review results showed that in all areas of project management and construction, there are applications relevant to blockchain technology that confirm the gradual understanding of the significance and positive impact of this technology on enhancing project management and construction performance. According to the results, a major part of blockchain studies was focused on “program and project management”, and two fields of human resources and behavioural areas and research in project management and schools of thought with a share of less than 2% of existing studies were neglected.
A Glance to Develop an Emotional-Persuasive Habit-Change Support Mobile Application for Heart Disease Patients (BeHabit)(مقاله علمی وزارت علوم)
حوزههای تخصصی:
Heart disease is stated as the world's biggest killer. The risk factors of this deadly disease are due to some bad habits such as being overweight, bad eating diet, smoking, assumption of alcohol, etc. Nevertheless, patients can live a healthy lifestyle if they have the proper guidance of persuasive-emotional featured technologies. In line with this, this study focuses on developing an emotional-persuasive habit-change support mobile application called BeHabit to improve heart disease patients’ lifestyles. Persuasive-emotional features are two different features that are integrated with BeHabit to distinguish this application from the existing ones. The proposed system is designed, implemented, tested, and evaluated by 10 users. In conclusion, the users are satisfied to used BeHabit to change their bad habits. Emotional and persuasive features that are integrated into BeHabit are the key to help patients to change their bad habits. BeHabit and the integrated feature can be used as a guideline for healthcare developers and providers for the improvement of mHealth services.
Cryptocurrency: Value Formation Factors and Investment Risks(مقاله علمی وزارت علوم)
منبع:
Journal of Information Technology Management , Volume ۱۴, Special Issue: Digitalization of Socio-Economic Processes, September ۲۰۲۲
179 - 200
حوزههای تخصصی:
Scientific sources demonstrate different attitudes of researchers to cryptocurrencies because they treat them as a category of currency, virtual money, commodity, etc. Accordingly, the relation to the valuation and risk of cryptocurrency as an investment object is different. The purpose of the article is to identify cryptocurrency value formation factors and determine the risks of investing in cryptocurrency. Cryptocurrency is simultaneously considered a currency, an asset with uncertain income, and a specific product, the price of which is determined by the energy costs for mining new cryptocurrency blocks. Thus, the paper examines the risks of investing in cryptocurrency from several positions. First, the study identifies the factors of formation of the value and risk of cryptocurrency as ordinary money based on comparing cryptocurrency with traditional money. Unlike traditional money, cryptocurrency is not tied to the economic performance of a particular country; also, central banks do not control or regulate their mining. Instead, the cryptocurrency emissions depend on the computational capacity of the equipment used for their mining. As a financial asset, cryptocurrency can be a “financial bubble” because their value increasing often exceeds the cost of mining. On the other hand, given the emergence of cryptocurrency as a phenomenon of the information economy, the paper analyses the impact of specific technical features (cryptographic hashing algorithm, the complexity of creating new blocks, the technology of verification of mining operations, etc.) on the risk of investing in cryptocurrency assets.
Blockchain-Based ERP System: Architecture and Opportunities for Future(مقاله علمی وزارت علوم)
منبع:
Journal of Information Technology Management , Volume ۱۴, Special Issue: The business value of Blockchain, challenges, and perspectives, ۲۰۲۲
211 - 243
حوزههای تخصصی:
Although Blockchain can significantly change the future of ERP systems as an innovative tech-nology, few researchers have gone into the details of this development. Most have given an overview of the changes ahead. Therefore, in this research, we have tried to use the method of Exploratory Content Analysis (ECA) by reviewing more than three hundred scientific articles in the field of Blockchain to analyze the effects of this technology on ERP system modules such as supply chain management, maintenance, finance, project management, manufacturing, and hu-man capital management. The result of this exploratory research is an architectural model for a blockchain-based ERP system. The researchers describe the functions of this system carefully, and the role of supporting technologies such as Smart Contract, IoT, Digital Wallet, Cloud Com-puting, and Building Information Model is clarified. We genuinely believe that this research could use as a reference model for ERP vendors and researchers in information systems and business process management
نقش اصطلاح نامه در کشف معنایی مفهوم ذنب رسول الله (صل الله علیه و آله و سلم) و استغفار رسول الله(صل الله علیه و آله و سلم)در قرآن (با تکیه بر آیه 2 سوره فتح) با تطبیق دیدگاه علامه طباطبایی و طبری
منبع:
مدیریت دانش اسلامی سال چهارم بهار و تابستان ۱۴۰۱ شماره ۱
161 - 190
حوزههای تخصصی:
گستره عصمت پیامبر اکرم| از مباحث اختلافی مفسران شیعه و سنی است که ذیل برخی آیات نافی عصمت، مانند آیه 2 سوره فتح، مطرح می شود. این آیه به صراحت، از وجود گناه بنده و بخشش آن از طرف خداوند برای رسول اکرم| حکایت دارد. این مقاله به روش توصیفی- تحلیلی، به تطبیق دیدگاه علامه طباطبایی(ره) و طبری، دو تن از مفسران برجسته فریقین، در کشف معنای واژه در آیه، و آیات همنوا پرداخته است. درنتیجه با وجود تفاوت هایی در مبانی اعتقادی ، هر دو مفسر، قائل به معنایی متفاوت از «ذنب» و «استغفار» مطرح در آیه، نسبت به دیگر آیات همنوا هستند. طبری براساس قرائن خارجی، از روایت عایشه و دستور استغفار به پیامبر| در آیه 3 سوره نصر، بدون ارتباط مستقیم با معنای لغوی، آن را به مرتبه ای از شکر تعبیر می کند که تعبیری جدید در واژه بنابر اصطلاح عرفانی است. طباطبایی براساس سیاق آیات، گناه مطرح در آیه را به تصور گناه مشرکان نسبت به رسول اکرم| برمی گرداند و بخشش از آن را به معنای پاک کردن آثار حاصل از دشمنی و پیامدهای کینه مشرکان به پیامبر| می داند که مطابق معنای ریشه واژه در ادبیات است.
A Framework to Evaluate Readiness for Blockchain Technology Implementation(مقاله علمی وزارت علوم)
حوزههای تخصصی:
In recent years, Blockchain technology has been recognized as one of the most important new technologies affecting businesses and society, with a very bright future ahead. This technology is known as one of the most critical technologies of industry 4. Given that Blockchain technology is a new concept, before implementing it, the organization must understand it and be prepared to accept it; otherwise, the organization will incur irreparable damages. The main purpose of this study is to provide a framework within which organizations can evaluate their readiness to implement Blockchain technology. For this purpose, after a library study and systematic literature review, this study provided the initial research framework using the meta-synthesis method. Finally, the Lawshe model was applied to validate the proposed framework for the organization's readiness to implement Blockchain technology. Based on the findings, the final established framework included seven main dimensions, including Blockchain-based business strategy, operations of a distributed system, culture, people in Blockchain decentralized network, decentralized governance, technology, and Blockchain-based product traceability. Besides, 37 main criteria affected these dimensions, which can help companies increase the level of Blockchain technology readiness. Finally, this framework was used to measure the readiness of an airline company. According to the results of the analysis, Blockchain-based business strategy, culture, and Blockchain-based product traceability showed a medium level of readiness. Moreover, none of the main dimensions of Blockchain technology readiness were sufficiently prepared in this case study. This paper suggests practical recommendations to improve the level of Blockchain technology readiness for the managers
Analysis of Different Path Loss Propagation Models Based on 4G Walk Test Data(مقاله علمی وزارت علوم)
حوزههای تخصصی:
The study of path loss propagation is of high importance in telecommunication, for optimizing the efficiency of wireless communication networks. In this paper, four path loss propagation models; free space path loss (FSPL) model, Okumura model, Okumura-Hata model, and COST 231-Hata model were compared. The models were compared using measurement data from Choba, Port Harcourt, Nigeria. The data is gotten from a 4G walk test using two mobile applications. The first mobile application Network, Signal Info (version 5.68.07), was used to acquire the received signal strength in and the distance between the BTS antenna and the mobile antenna. While the second mobile application, G-NetTrack Lite (version 14.8), was used to map out the track path followed during the test. Choba, the study area, is a coastal suburban area with map coordinates 4.8941° N, 6.9263° E. The measured distance range was from 0.09 km to 0.45 km, and a path loss range of 69dB to 81dB. While the BTS and mobile antenna heights were 32 m and 1m respectively, with a carrier frequency of 800MHz. BTS transmission power of 23 dBm was assumed, based on 3GPP eNodeB recommendations. A graph comparison of the studied models showed that Okumura-Hata model and COST 231-Hata model had the closest predictions to the measured path loss. The need for better path loss models for 4G and 5G propagations was observed
Enhanced Lightweight and Secure Session Key Establishment Protocol for Smart Hospital Inhabitants(مقاله علمی وزارت علوم)
منبع:
Journal of Information Technology Management , Volume ۱۴, Security and Resource Management challenges for Internet of Things, ۲۰۲۲
225 - 234
حوزههای تخصصی:
In the era of internet technologies, to provide wireless communication and transfer the information in seconds from one place to another has arrived because of the need to consume information technologies. All users desire to quickly access the smart world’s life and interact with the entire world socially. This paper proposed an environment for the safe and secure smart patient’s room connected to the WSN, BAN, and RFID. All the data will be transferred to the session key, secure and contains the patient’s information. The network connected through WSN and data will be sent through the session key to make an smart hospital’s patient cabin. The small token is there that will be transferred throughout the network to get authenticated by each network. This proposed scheme is secure enough to overcome the drawbacks of the other protocol in such a way as to make the protocol more secure from the entire adversary’s attack may occur.
Reconstruction of Simple and Complex Three Dimensional Images Using Pattern Recognition Algorithm(مقاله علمی وزارت علوم)
منبع:
Journal of Information Technology Management , Volume ۱۴, Security and Resource Management challenges for Internet of Things, ۲۰۲۲
235 - 247
حوزههای تخصصی:
The reconstruction of 3D images is always a difficult task for the researchers. The 3D reconstruction of the image is a core technique of various fields such as Computer graphics, computer vision, CAD systems, medical science, computer application, etc. Reconstruction of the 3D image allows us to gather the quantitative features of the objects such as the shape, size, and volume of the objects. The existing computer algorithms need spatial dimension information to make the distinguished inference from the given 3D image which is not always possible. This paper simplifies the 3D reconstruction of the image. This research paper introduced a novel algorithm for the representation of the Three Dimensional images into a textual form. The syntactic approach is used for the extraction of the features of the image and these are called knowledge vectors. The knowledge vector consists of the direction information and length information. This a new approach in the field of image processing where images can be represented as a knowledge vector and it could be a great contribution in the field where security is a major concern. Further, the knowledge vector is used for the reconstruction of the 3D image. The performance of the algorithm is evaluated on the PASCAL 3D + and example-based Synthesis of the 3D Object Arrangements dataset. According to the obtained results, the proposed methodology is having better accuracy, and the processing time of reconstruction of the original 3D image is 1.02 Seconds. Single-pass is sufficient for reconstructing the original image
Determinants of Building Information Modeling Adoption: The case of the Malaysian Construction Industry(مقاله علمی وزارت علوم)
حوزههای تخصصی:
The Architecture, Engineering, and Construction (AEC) industry rely heavily on Building Information Modeling (BIM). BIM is the collection of Information and Communication Technologies (ICT), interacting policies, and procedures. BIM is a tool for managing digital project data during the life cycle of a building. Despite the many benefits and features of BIM, the Malaysian construction industry's proliferation is confronted with adoption issues. Therefore, this research study intends to find the effect of BIM adoption factors in Malaysian AEC. Quantitative data collection from construction firms is gathered. The proposed model's theoretical foundations are based on Technology, Organization Environment framework. The model is tested and validated with the Smart PLS tool. The study's findings indicate that Perceived benefits, Organizational Capabilities, and Trialability are drivers of BIM adoption. Perceived cost and Insecurity are the barriers to BIM adoption. Perceived ease of use and compatibility does not affect BIM adoption. Finally, this study performs Importance Performance Map Analysis to provide recommendations to AEC stakeholders to address the BIM adoption issues for enhancing its diffusion in Malaysia.
Filter-Based Feature Selection Using Information Theory and Binary Cuckoo Optimisation Algorithm(مقاله علمی وزارت علوم)
حوزههای تخصصی:
Dimensionality reduction is among the data mining process that is used to reduce the noise and complexity of features in various datasets. Feature selection (FS) is one of the most commonly used dimensionalities that reduces the unwanted features from the datasets. FS can be either wrapper or filter. Wrappers select subsets of the feature with better classification performance but are computationally expensive. On the other hand, filters are computationally fast but lack feature interaction among selected subsets of features which in turn affect the classification performance of the chosen subsets of features. This study proposes two concepts of information theory mutual information (MI). As well as entropy (E). Both were used together with binary cuckoo optimization algorithm BCOA (BCOA-MI and BCOA-EI). The target is to improve classification performance (reduce the error rate and computational complexity) on eight datasets with varying degrees of complexity. A support vector machine classifier was used to measure and computes the error rates of each of the datasets for both BCOA-MI and BCOA-E. The analysis of the results showed that BCOA-E selects a fewer number of features and performed better in terms of error rate. In contrast, BCOA-MI is computationally faster but chooses a larger number of features. Comparison with other methods found in the literature shows that the proposed BCOA-MI and BCOA-E performed better in terms of accuracy, the number of selected features, and execution time in most of the datasets.