HighTech and Innovation Journal最新文献

{"title":"Factors Shaping Thai Millennials' Low-Carbon Behavior: Insights from Extended Theory of Planned Behavior","authors":"Ajaree Thanapongporn, Kanis Saengchote, Chupun Gowanit","doi":"10.28991/hij-2023-04-03-02","DOIUrl":"https://doi.org/10.28991/hij-2023-04-03-02","url":null,"abstract":"Objective: This research serves a dual purpose: To construct a predictive model for low-carbon behavior among Thai millennials and to analyze the interplay between socio-demographic variables and eco-conscious actions. Methods/Analysis: By employing PLS-SEM and surveying 150 Thai millennials through purposive sampling, this study reaffirms the influence of persuasive technology and incentives on low-carbon behaviors. It highlights the significance of perceived behavioral control within the TPB framework and reveals intricate pathways by which persuasive technology and incentives shape attitudes, perceived control, and social norms, thereby driving eco-friendly actions. Findings: Among Thai millennials, positive attitudes and perceived control drive low-carbon behavior, while social norms and accessible low-carbon infrastructure also impact eco-conscious actions. Persuasive technology shows promise for attitude adjustment, but incentives' relationship with low-carbon behavior is complex. Interestingly, mature women exhibit more low-carbon behavior, whereas education and income show an inverse relationship. Novelty/Improvement: This study contributes novel and substantial insights into the drivers of low-carbon behavior among Thai millennials by integrating diverse theoretical frameworks. It enriches our understanding of the mediating role of TPB factors and socio-demographic dimensions, offering invaluable guidance for stakeholders in crafting effective interventions while aligning seamlessly with Sustainable Development Goals 7, 9, 12, and 13. Doi: 10.28991/HIJ-2023-04-03-02 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"188 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139344179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trainable Regularization in Dense Image Matching Problems","authors":"V. Kuklin, A. Tatarkanov, A. A. Umyskov","doi":"10.28991/hij-2023-04-03-011","DOIUrl":"https://doi.org/10.28991/hij-2023-04-03-011","url":null,"abstract":"This study examines the development of specialized models designed to solve image-matching problems. The purpose of this research is to develop a technique based on energy tensor aggregation for dense image matching. This task is relevant within the framework of computer systems since image comparison makes it possible to solve current problems such as reconstructing a three-dimensional model of an object, creating a panorama scene, ensuring object recognition, etc. This paper examines in detail the key features of the image matching process based on the use of binocular stereo reconstruction and the features of calculating energies during this process, and establishes the main parts of the proposed method in the form of diagrams and formulas. This research develops a machine learning model that provides solutions to image matching problems for real data using parallel programming tools. A detailed description of the architecture of the convolutional recurrent neural network that underlies this method is given. Appropriate computational experiments were conducted to compare the results obtained with the methods proposed in the scientific literature. The method discussed in this article is characterized by better efficiency, both in terms of the speed of work execution and the number of possible errors. Doi: 10.28991/HIJ-2023-04-03-011 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139343445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Anti-Ballistic Technology Development through Bibliometric Analysis of Scopus Database Records","authors":"Fattah Maulana, .. Ubaidillah, B. W. Lenggana, D. Ariawan, Zainal Arifin","doi":"10.28991/hij-2023-04-03-015","DOIUrl":"https://doi.org/10.28991/hij-2023-04-03-015","url":null,"abstract":"Anti-ballistics technology's significance in safeguarding national defense and security has intensified amid rising threats and insurgencies. While prior studies have investigated advancements in anti-ballistic technologies, a noticeable gap persists in discussions involving anti-ballistics through bibliometric analysis and cutting-edge evaluations. This scarcity of research originates from the sensitivity surrounding weapon-related discourse. This article aims to bridge this gap by unveiling an exhaustive bibliometric analysis and contemporary assessment of anti-ballistics research spanning 47 years. The analysis's distinctiveness lies in its approach to addressing this research void within the anti-ballistics domain, achieved through meticulous scrutiny of existing research via bibliometric analysis techniques. The analysis was facilitated by employing Biblioshiny software integrated with RStudio and VOSviewer. Data processing encompassed keyword searches within the Scopus database, with outcomes presented in CSV format. Notably, the study's findings highlight the United States as the frontrunner in reference count and publication output within the anti-ballistics realm. The National Institute of Standards and Technology stands out with 89 articles. Furthermore, a systematic categorization of anti-ballistic materials based on their developmental applications was conducted. Temporal assessment revealed shifting research trends, transitioning from \"ceramic materials\" in 2016 to \"nonmetallic matrix composites\" in 2020, particularly for body armor applications. This endeavor involves recognizing notable contributors, categorizing diverse materials under study, and tracking research trend shifts over time. The analysis offers indispensable insights to guide diverse stakeholders' decision-making. It's noteworthy that this bibliometric analysis holds particular value for novices or those entering the field for the first time. Our study significantly enriches the anti-ballistics domain through contributions to library studies and research mapping. By presenting a comprehensive overview of anti-ballistics research trends, our analysis enhances comprehension and empowers informed decision-making for researchers, practitioners, and policymakers alike. Doi: 10.28991/HIJ-2023-04-03-015 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139346669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive Review of the Impact of Advanced Technology Adoption on Work and Continuous Improvement","authors":"M. Momin, Omar Ali","doi":"10.28991/hij-2023-04-03-014","DOIUrl":"https://doi.org/10.28991/hij-2023-04-03-014","url":null,"abstract":"Technology advances are changing how companies and their employees do their respective jobs. The intervention of technology has revolutionized the way jobs are conceptualized, discussed, performed, and delivered. This analysis aims to deliver a summary of the impact of the adoption of advanced technology on job characteristics and the impact on job demand and continuous improvement, which can act as a reference for theorists and practitioners to map, research, and analyze the effect of technology on work systems and productivity. By presenting a systematic review of the literature along with several avenues for future research, we hope that this research will contribute to job demand and ongoing research. A total of 30 articles were reviewed from a total generated article database of 335, which were systematically selected from different academic databases between 2001 and 2021. The review signifies the role of technology in influencing work complexities, privacy, workload, workflow interruptions, manual work, role expectations, and developmental opportunities. This study is pivotal in substantiating the influence of technology in work systems, besides furnishing variables and themes for further studies in the area. Doi: 10.28991/HIJ-2023-04-03-014 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139346734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of CNN Classification Model using Machine Learning with Bayesian Optimizer","authors":"Sugiyarto Surono, M. Y. F. Afitian, Anggi Setyawan, Dyiyah Kresna Eni Arofah, A. Thobirin","doi":"10.28991/hij-2023-04-03-05","DOIUrl":"https://doi.org/10.28991/hij-2023-04-03-05","url":null,"abstract":"One of the best-known and frequently used areas of Deep Learning in image processing is the Convolutional Neural Network (CNN), which has architectural designs such as Inceptionv3, DenseNet201, Resnet50, and MobileNet used in image classification and pattern recognition. Furthermore, the CNN extracts feature from the image according to the designed architecture and performs classification through the fully connected layer, which executes the Machine Learning (ML) algorithm tasks. Examples of ML that are commonly used include Naive Bayes (NB), k-Nearest Neighbor (k-NN), Support Vector Machine (SVM), and Decision Tree (DT). This research was conducted based on an AI model development background and the need for a system to diagnose COVID-19 quickly and accurately. The aim was to classify the aforementioned CNN models with ML algorithms and compare the models’ accuracy before and after Bayesian optimization using CXR lung images with a total of 2000 data. Consequently, the CNN extracted 80% of the training data and 20% for testing, which was assigned to four different ML models for classification with the use of Bayesian optimization to ensure the best accuracy. It was observed that the best model classification was generated by the MobileNetV2-SVM structure with an accuracy of 93%. Therefore, the accuracy obtained using the SVM algorithm is higher than the other three ML algorithms. Doi: 10.28991/HIJ-2023-04-03-05 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139346855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on International Settlement of Enterprises' Export Trade Business using Risk Management","authors":"Yi Li","doi":"10.28991/hij-2023-04-03-08","DOIUrl":"https://doi.org/10.28991/hij-2023-04-03-08","url":null,"abstract":"Objectives: This paper aims to analyze the international settlement risks of enterprise export trade businesses using the analytic hierarchy process (AHP) method. Methods: Firstly, the international settlement risks were divided into three levels, including 13 evaluation indicators. Then an evaluation matrix was established. After the consistency test, the indicator and hierarchical weights were calculated for analysis. Findings: The country risk was 0.2081, the foreign exchange risk was 0.2104, the contract risk was 0.4608, the transportation risk was 0.4422, and the credit risk was 0.4852. Among these risks in international settlement, credit risk posed the greatest risk, followed by contract and transportation risks, while foreign exchange and country risks were relatively lower. Novelty:When assessing international settlement risks, the AHP was used, and a judgment matrix was employed to calculate the weights for each level. Doi: 10.28991/HIJ-2023-04-03-08 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139345530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative Strategy for Selecting Industries for Program-Target Stimulation of Regional Economic Diversification","authors":"A. Karaev, O. Gorlova, Vadim V. Ponkratov, Margarita L. Vasyunina, A. Masterov, Marina L. Sedova, Elena V. Mikhina","doi":"10.28991/hij-2023-04-03-013","DOIUrl":"https://doi.org/10.28991/hij-2023-04-03-013","url":null,"abstract":"The purpose of this study is to substantiate the approach to the selection of industries for program-target stimulation of regional economy diversification, focusing on developing new strong industries and increasing the economic complexity of the regional economy. The research methodology is based on the application of the concept of revealed comparative advantages and an assessment of the economic complexity of industries and regions of Russia (the Udmurt Republic, Republic of Mordovia, Kaliningrad Region, and Trans-Baikal Territory) using data on tax revenues by economic sectors. The novelty of this research lies in demonstrating the effectiveness of applying the revealed comparative advantage concept, an approach to assessing economic complexity based on the use of tax revenue data by economic sectors, and a strategy for modernizing intermediate opportunities when selecting industries for program-target stimulation of regional economy diversification. The practical significance of the results is determined by the possibilities of their use in the application of program-target mechanisms to solve problems of stimulating the development of individual sectors of the regional economy. Selecting priority areas for diversification based on economic complexity methods can contribute to the improvement of budget balancing, economic growth and sustainable development, and mitigation of interregional inequality. Doi: 10.28991/HIJ-2023-04-03-013 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"301 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139345963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"European Real Estate Properties Valuation: Ten Years After Adopting IFRS 13","authors":"Miroslav Škoda, K. Bocková, Viera Guzoňová","doi":"10.28991/hij-2023-04-03-04","DOIUrl":"https://doi.org/10.28991/hij-2023-04-03-04","url":null,"abstract":"IFRS 13 had its mandatory implementation on January 1st, 2013. The new accounting standard, which represents one step closer to harmonization between U.S. GAAP and IFRS, aims to eliminate inconsistencies in fair value measurement and its related disclosures through the introduction of new reporting requirements, specifically for assets and liabilities with no active markets. Although these demands also encompass information concerning financial instruments, our focus was on the disclosure changes related to the fair value of investment properties, previously regulated solely by IAS 40. As investment properties comprise the majority of assets in the real estate industry, this sector was further examined. Through a statistical analysis of the sample companies’ annual reports for the periods immediately before and after the implementation of IFRS 13, the purpose of our descriptor-explanatory study was to investigate the level of compliance with IFRS 13 fair value disclosure requirements for investment properties in real estate companies in Europe. In order to answer this question, we first scrutinized the level of compliance with the new disclosure requirements brought up by the standard and then, intermediated by an adaptation of the model developed by Beretta & Bozzolan (2008), measured the disclosure quality for both periods considered. After data collection and analysis, our findings reveal that IFRS 13 does affect the disclosure quality of investment properties in real estate companies in Europe. Overall compliance is very high, while disclosure quality has increased since the implementation of IFRS 13. As a way to further broaden the research related to the more extensive disclosure requirements under IFRS 13, we suggest additional studies be undertaken where the point of view of the real estate companies could be explored. Moreover, it would be interesting to investigate whether the increased number of disclosures, both in relation to quantity and quality, is relevant from an analyst’s standpoint. Doi: 10.28991/HIJ-2023-04-03-04 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139345167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Study of Dance Movement Capture and Posture Recognition Method Based on Vision Sensors","authors":"Qun Wang, Gang Tong, Sichao Zhou","doi":"10.28991/hij-2023-04-02-03","DOIUrl":"https://doi.org/10.28991/hij-2023-04-02-03","url":null,"abstract":"With the development of technology, posture recognition methods have been applied in more and more fields. However, there is relatively little research on posture recognition in dance. Therefore, this paper studied the capture and posture recognition of dance movements to understand the usability of the proposed method in dance posture recognition. Firstly, the Kinect V2 visual sensor was used to capture dance movements and obtain human skeletal joint data. Then, a three-dimensional convolutional neural network (3D CNN) model was designed by fusing joint coordinate features with joint velocity features as general features for recognizing different dance postures. Through experiments on NTU60 and self-built dance datasets, it was found that the 3D CNN performed best with a dropout rate of 0.4, a ReLU activation function, and fusion features. Compared to other posture recognition methods, the recognition rates of the 3D CNN on CS and CV in NTU60 were 88.8% and 95.3%, respectively, while the average recognition rate on the dance dataset reached 98.72%, which was higher than others. The experimental results demonstrate the effectiveness of our proposed method for dance posture recognition, providing a new approach for posture recognition research and making contributions to the inheritance of folk dances. Doi: 10.28991/HIJ-2023-04-02-03 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127599535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Role of the Magnitude of Digital Adaptability in Sustainability of Food and Beverage Small Enterprises Competitiveness","authors":"B. Suseno, .. Basrowi","doi":"10.28991/hij-2023-04-02-02","DOIUrl":"https://doi.org/10.28991/hij-2023-04-02-02","url":null,"abstract":"This study aimed to (1) determine and (2) improve the sustainability of competitiveness for the food and beverage business. This was achieved through causal studies, which involved determining causal relationships between variables. The study population was selected using a purposive sampling technique with a focus on small food and beverage entrepreneurs, and the data retrieved were analyzed using both quantitative and qualitative methods. Moreover, IBM SPSS AMOS 21 (Moment Structure Analysis) tool was used for the descriptive analysis as well as to test models and hypotheses. The results showed that stakeholder engagement had a positive and significant influence on the magnitude of digital adaptability and costless signaling. It was further noted that the magnitude of digital adaptability and costless signaling had the same effect on sustainability. A similar relationship was established between costless signaling and the magnitude of digital adaptability. These results proved that stakeholder engagement has a significant effect on cost-effective signaling and the magnitude of digital adaptability. Costless signaling has a significant effect on the magnitude of digital adaptability and sustainability of small food and beverage enterprises performance. The novelty of this study lies in the influence of stakeholder engagement on the magnitude of digital adaptability, which can be used to increase the sustainability and performance of food and beverage small enterprises. Doi: 10.28991/HIJ-2023-04-02-02 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114976308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}