HighTech and Innovation Journal最新文献

{"title":"Sociological Impact of Cyber Laws on Media: Virtue Community and Controversies","authors":"Sayid Muhammad Rifki Noval","doi":"10.28991/hij-2024-05-01-04","DOIUrl":"https://doi.org/10.28991/hij-2024-05-01-04","url":null,"abstract":"This study aims to delve into the sociological dimensions and repercussions of cyber law on cyber-based mass media and social media freedoms in Indonesia while shedding light on questionable aspects of the country’s cyber laws. Employing qualitative research methods encompassing theoretical and investigative perspectives, the study combines normative juridical research with a legal, sociological approach and an observational survey approach. Data collection involved an examination of legal materials on information technology alongside interviews with cyber-policymaking bodies, stakeholders, cyber-media houses, journalists, bloggers, and social media influencers. The collected data were scrutinized through descriptive analysis to clarify the sociological and legal impacts of Indonesia’s cyber law on media and social media. The findings reveal that implementing cyber law in Indonesia carries substantial sociological implications for both the media and society. It highlights questionable aspects of the existing cyber laws, as they pose challenges to upholding the rule of law and safeguarding social and media freedoms in the country. The insights derived from this study hold relevance for research endeavors focusing on the sociological aspects of cyber law in developing countries. This study contributes to a deeper understanding of the evolving digital landscape and emphasizes the need to address pertinent issues while balancing legal regulations and societal freedoms. Doi: 10.28991/HIJ-2024-05-01-04 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"47 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140085778","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":"Powering through Challenges: Analyzing the Energy Crisis in the Western Balkans during the Pandemic Context","authors":"A. Gjukaj, V. Rexhepi, R. Bualoti, M. Çelo, Isak Kerolli","doi":"10.28991/hij-2024-05-01-08","DOIUrl":"https://doi.org/10.28991/hij-2024-05-01-08","url":null,"abstract":"This paper examines the current challenges in the energy sector of the Western Balkan countries, focusing on the energy sector of Kosovo as a case study during the pandemic. These countries are at crucial stages of their development, marked by significant achievements but with ongoing challenges in the energy sector as a factor for sustainable development. The region remains highly vulnerable to energy crises and geopolitical tensions, particularly due to its heavy dependence on fossil fuels such as brown coal for energy production. Our research focuses on the energy system in Kosovo, highlighting its historical reliance on a fragile energy sector, particularly characterized by inflexible thermal power plants using outdated technology and a lack of additional, more flexible capacity. The purpose of this study is to examine Kosovo's energy system, assess the challenges it encounters, and identify the factors that have contributed to the energy crisis from 2021 to 2023. Doi: 10.28991/HIJ-2024-05-01-08 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"291 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140274055","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":"The Impact of Brand Value on Business Performance: An Analysis of Moderating Effects of Product Involvement","authors":"S. Tripopsakul, Wilert Puriwat, D. Hoonsopon, Ratirath Na Songkhla","doi":"10.28991/hij-2024-05-01-06","DOIUrl":"https://doi.org/10.28991/hij-2024-05-01-06","url":null,"abstract":"The purposes of this study are to investigate the impact of brand value on business performance and to examine whether the impact of brand value on business performance differs between high and low product involvement. Based on the top 100 brands ranked by Interbrand in 2021, linear regression analysis and moderation analysis by SPSS and AMOS were used to examine our proposed hypotheses. The results showed that brand value had a significantly positive effect on business performance. The findings imply that stronger brand valuation impacts are associated with companies that do better financially. In other words, business revenue is significantly determined by a higher brand valuation. The result of the moderation effect reveals that product involvement moderates the effect of brand value on business performance in such a way that the association between brand value and business performance is stronger in low-involvement products than in high-involvement products. The findings validate the notion that a marketer's endeavors toward brand investments constitute a noteworthy origin of activity that adds value. Our study is one of the first to investigate, using empirical data on leading brands across several industries, the impact that brand value can have on business performance. It also broadens the scope of existing understanding regarding the moderating effect of product involvement in regulating a brand's effectiveness. Doi: 10.28991/HIJ-2024-05-01-06 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"232 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140402751","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":"Aspect-Level Sentiment Analysis through Aspect-Oriented Features","authors":"Mikail Muhammad Azman Busst, K. Anbananthen, Subarmaniam Kannan","doi":"10.28991/hij-2024-05-01-09","DOIUrl":"https://doi.org/10.28991/hij-2024-05-01-09","url":null,"abstract":"Aspect-level sentiment analysis is essential for businesses to comprehend sentiment polarities associated with various aspects within unstructured texts. Although several solutions have been proposed in recent studies in sentiment analysis, a few challenges persist. A significant challenge is the presence of multiple aspects within a single written text, each conveying its own sentiments. Besides this, the exploration of ensemble learning in the existing literature is limited. Therefore, this study proposes a novel aspect-level sentiment analysis solution that utilizes an ensemble of Bidirectional Long Short-Term Memory (BiLSTM) models. This innovative solution extracts aspects and sentiments and incorporates a rule-based algorithm to combine accurate sets of aspect and sentiment features. Experimental analysis demonstrates the effectiveness of the proposed methodology in accurately extracting aspect-level sentiment features from input texts. The proposed solution was able to obtain an F1 score of 92.98% on the SemEval-2014 Restaurant dataset when provided with the correct set of aspect-level sentiment features and an F1 score of 95.54% on the SemEval-2016 Laptop dataset when provided with the aspect-level sentiment features generated by the aspect-sentiment mapper algorithm. Doi: 10.28991/HIJ-2024-05-01-09 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"25 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140276845","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":"The Influence Factors of Economic Development of Tourism Industry","authors":"Mei Li","doi":"10.28991/hij-2024-05-01-03","DOIUrl":"https://doi.org/10.28991/hij-2024-05-01-03","url":null,"abstract":"Objectives: This paper aims to conduct research on the factors that impact the advancement of the tourism economy in order to adapt to the rapidly changing demands of the tourism market. Methods: A case study was performed using a gray correlation model to analyze the tourism industry in Henan Province. Findings: Among the first-level indicators, tourism economic support had the highest correlation with tourism economic development, followed by tourism physical base, tourism transportation influence, tourism human resources, and tourism information service. Then, relevant suggestions were given according to the analysis results. Novelty:The novelty of this article lies in utilizing the gray correlation model to examine the factors that influence the tourism economy and analyzing the gray system with incomplete information. Doi: 10.28991/HIJ-2024-05-01-03 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"27 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140082897","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":"Creating an Innovative Business Model for the Performance of Commercial Dental Clinics","authors":"E. Kostyrin, G. G. Bagdasaryan","doi":"10.28991/hij-2024-05-01-05","DOIUrl":"https://doi.org/10.28991/hij-2024-05-01-05","url":null,"abstract":"Providing dental care to the population is associated with the active introduction of new technologies, personnel management methods, and business processes. In this sense, dentistry is at the forefront of the development of medicine and other economic sectors. However, the active practical implementation of advanced technologies for the provision of dental services requires personnel to have increased motivation and highly qualified labor, to develop new protocols for patient management, and to use more advanced equipment and materials, while administrative and management personnel should introduce progressive methods of labor motivation and economic and mathematical models of material and moral stimulation. This research aims to create an innovative business model for the development of a commercial dental clinic (CDC) that provides paid dental services. Economic and mathematical modeling and nonlinear programming are aimed at maximizing dentists’ wages, together with financial incentives for the work of administrative and managerial personnel and deductions for the development of a typical commercial dental clinic in Moscow based on the actual volume of dental services and the costs of their provision. With the volume of paid dental services growing by one and a half times, the innovative business model makes it possible to increase clinic income by a factor of 1.66 and dentists’ salaries by a factor of 2.24, raise deductions for labor incentives for administrative and managerial personnel by a factor of 1.66, and increase total profit by a factor of 1.75. During the research, it was possible to ensure early repayment of a loan of 5 million rubles for clinic development in 21 months. Additional research is needed because of the possible variability of the dental market and lending conditions. Doi: 10.28991/HIJ-2024-05-01-05 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":" 1097","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140091742","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":"The Development and Evaluation of Homogenously Weighted Moving Average Control Chart based on an Autoregressive Process","authors":"R. Sunthornwat, S. Sukparungsee, Y. Areepong","doi":"10.28991/hij-2024-05-01-02","DOIUrl":"https://doi.org/10.28991/hij-2024-05-01-02","url":null,"abstract":"This research aims to investigate a Homogenously Weighted Moving Average (HWMA) control chart for detecting minor and moderate shifts in the process mean. A mathematical model for the explicit formulae of the average run length (ARL) of the HWMA control chart based on the autoregressive (AR) process is presented. The efficacy of the HWMA control chart is evaluated based on the average run length, the standard deviation of run length (SDRL), and the median run length (MRL). As illustrations of the design and implementation of the HWMA control chart, numerical examples are provided. In numerous instances, a comparative analysis of the HWMA control chart relative to the Extended Exponentially Weighted Moving Average (Extended EWMA) and cumulative sum (CUSUM) control charts with mean process shifts is performed in detail. Additionally, the relative mean index (RMI), the average extra quadratic loss (AEQL), and the performance comparison index (PCI) are utilized to evaluate the performance of control charts. For various shift sizes, the HWMA control chart is superior to the Extended EWMA and CUSUM control charts. This study applies empirical data from the area of economics to validate the explicit formula of ARL values for the HWMA control chart. Doi: 10.28991/HIJ-2024-05-01-02 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"112 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140088733","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 Label Embedding for Food Safety Comment Classification: Fusion of Self-Semantic and Self-Knowledge Features","authors":"Yiming Zhang, Haozheng Liu, Jiaming Feng, Xu Zhang","doi":"10.28991/hij-2024-05-01-013","DOIUrl":"https://doi.org/10.28991/hij-2024-05-01-013","url":null,"abstract":"Food safety comment classification represents a specialized task within the realm of text classification. The objective is to efficiently identify a large volume of food safety comments, aiding relevant authorities in timely food analysis and safety alerts. Traditional methods typically employ one-hot encoding for label processing. However, in real-world situations, classified labels often convey valuable semantic information and guidance. This paper introduces an innovative approach to enhance the classification performance of food safety comments by embedding label information. Initially, we extracted generic sentiment pivot words from various classification labels as label description information. Subsequently, we employ a joint embedding approach to integrate this label description information into the text. This process will pool the expressions of the pivot word into the corresponding sentiment labels in the known domains after averaging to get the embedded expression. This aims to acquire highly detailed self-semantic feature vectors and self-knowledge feature vectors that are integrated with labeled descriptive information. Then, feed the semantic representation of comments and the word-embedded representation of labeled description information into a time-step-based multilayer Bi-LSTM and a step-based multilayer CNN, respectively. Ultimately, we concatenate these two feature vectors to facilitate matching, thereby fusing the self-semantic and self-knowledge features of labeled description information to train a classification model for food safety comments. Experimental results on the food safety comment dataset showcase a noteworthy improvement of 1.74% and 1.27% in Macro_Precision and Macro_F1 metrics, respectively, compared to BERT, BERT-RNN, and BERT-CNN. Through extensive ablation experiments and additional studies, our method effectively embeds labeling information, demonstrating a clear advantage over traditional methods in the task of classifying food safety comments. Doi: 10.28991/HIJ-2024-05-01-013 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"281 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140274113","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":"Motion Picture Analysis: A Mechanical Study of Tennis Players during Forehand and Backhand Strokes","authors":"Yanan Yin, Tingting Gou","doi":"10.28991/hij-2024-05-01-07","DOIUrl":"https://doi.org/10.28991/hij-2024-05-01-07","url":null,"abstract":"Objectives: The purpose of this article is to utilize video images for the examination of lower limb biomechanics in tennis players while executing forehand and backhand strokes, providing a reference for training. Methods: This article provides a brief introduction to forehand and backhand strokes in the sport of tennis. Subsequently, a biomechanical analysis of the lower limbs during forehand and backhand strokes was conducted on ten level 2 tennis players and ten specialized tennis students at XX Sports University. Findings: Level 2 athletes who have undergone a long training exhibited higher linear velocity and joint torque in the lower-limb joints during the preparatory and striking phases of forehand and backhand strokes. Additionally, they exhibited more pronounced surface electromyographic signals in the rectus femoris muscle of the lower limbs. Novelty:The novelty of this article lies in the use of video imagery, a non-contact and non-intrusive method that does not affect the athletes' movements, to study the biomechanics of their lower limbs. Doi: 10.28991/HIJ-2024-05-01-07 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"10 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140268825","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":"Using Multilayer Perceptron Neural Network to Assess the Critical Factors of Traffic Accidents","authors":"Athapol Ruangkanjanases, O. Sivarak, Zi-Jie Weng, Asif Khan, Shih-Chih Chen","doi":"10.28991/hij-2024-05-01-012","DOIUrl":"https://doi.org/10.28991/hij-2024-05-01-012","url":null,"abstract":"This study is based on the traffic accident data of Taoyuan City from the government's open data. The study compiled the data set of traffic accidents in Taiwan from 2012 to 2017, and six classifiers were applied to evaluate the effectiveness of traffic accident prediction with the number of injuries as the prediction target. In order to verify the classifier's stability, cross-validation was used to evaluate the model during the training process, and the multilayer perceptron neural network (MLPNN) classifier performed best in testing the dataset's accuracy and evaluating the model's best performance. Then, a boosting ensemble learning approach and a combination of traffic accident factors improve the experiment's performance. According to this experiment, the results show that this study uses the Pearson Chi-square feature selection method to select important traffic factor combinations, and the boosting method indeed helps improve the effectiveness of the construction of the traffic accident model. Finally, the experimental results of the NN-MLP model have a correct rate of 77% and AUC is 78.7%. In constructing the model, it was found that the degree of injury, the part of the vehicle hit, the type of accident, the leading cause, the type of vehicle, and the period of the accident were the main factors causing dangerous traffic accidents. Doi: 10.28991/HIJ-2024-05-01-012 Full Text: PDF","PeriodicalId":121944,"journal":{"name":"HighTech and Innovation Journal","volume":"439 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140281847","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}