This research paper scrutinizes the connection between demographic aspects and the perception of executive leadership at Suan Sunandha Rajabhat University (SSRU), as perceived by academic and support staff. Emphasizing demographic factors such as gender, academic qualifications, and job type, the study explores staff perspectives and their influence on the perception of executive leadership. Data was collected from 253 participants using stratified random sampling and a questionnaire, with findings analyzed via t-Test and One-way ANOVA. The results revealed no significant correlation between gender or academic qualifications and goal-directed leadership. However, a statistically significant difference was found between job classification and goal-directed leadership. These findings offer valuable implications for tailoring leadership approaches at SSRU, suggesting that job type may play a more significant role in shaping leadership perceptions than previously assumed. Consequently, this could inform future leadership strategies, contributing to improved staff engagement and organizational success at SSRU.
本研究论文探讨了苏南苏南达拉贾巴特大学（SSRU）学术人员和辅助人员对行政领导力的看法与人口统计学因素之间的联系。研究强调了性别、学历和工作类型等人口统计学因素，探讨了员工的观点及其对行政领导认知的影响。研究采用分层随机抽样和问卷调查的方法收集了 253 名参与者的数据，并通过 t 检验和单因子方差分析对结果进行了分析。结果显示，性别或学历与目标导向型领导力之间没有明显的相关性。然而，在统计意义上，职务分类与目标导向型领导力之间存在显著差异。这些研究结果表明，工作类型在塑造领导力观念方面所起的作用可能比以前认为的更为重要。因此，这可以为未来的领导力战略提供参考，从而提高员工的参与度，并促进南苏丹里约热内卢大学在组织方面取得成功。
{"title":"THE RELATIONSHIP BETWEEN DEMOGRAPHIC FACTORS AND EXECUTIVE LEADERSHIP AT SUAN SUNANDHA RAJABHAT UNIVERSITY: ACADEMIC AND SUPPORT STAFF’S PERSPECTIVES","authors":"Chanun Chanhom, Khwanta Benchakhan, Sunhanat Jakkapattarawong","doi":"10.24874/pes06.01.012","DOIUrl":"https://doi.org/10.24874/pes06.01.012","url":null,"abstract":"This research paper scrutinizes the connection between demographic aspects and the perception of executive leadership at Suan Sunandha Rajabhat University (SSRU), as perceived by academic and support staff. Emphasizing demographic factors such as gender, academic qualifications, and job type, the study explores staff perspectives and their influence on the perception of executive leadership. Data was collected from 253 participants using stratified random sampling and a questionnaire, with findings analyzed via t-Test and One-way ANOVA. The results revealed no significant correlation between gender or academic qualifications and goal-directed leadership. However, a statistically significant difference was found between job classification and goal-directed leadership. These findings offer valuable implications for tailoring leadership approaches at SSRU, suggesting that job type may play a more significant role in shaping leadership perceptions than previously assumed. Consequently, this could inform future leadership strategies, contributing to improved staff engagement and organizational success at SSRU.","PeriodicalId":33556,"journal":{"name":"Proceedings on Engineering Sciences","volume":" 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140389429","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":"BI-MODEL EMOTION RECOGNITION SYSTEM FOR DIFFERENT AGE GROUPS STUDENTS ON ZOOM PLATFORM USING FUZZY AND DEEP LEARNING","authors":"Raman Batra, Ashwini Kumar, Nagraj Patil, Dinesh Kumar","doi":"10.24874/pes.si.24.02.012","DOIUrl":"https://doi.org/10.24874/pes.si.24.02.012","url":null,"abstract":"","PeriodicalId":33556,"journal":{"name":"Proceedings on Engineering Sciences","volume":" 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140388696","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}
Pub Date : 2024-03-20DOI: 10.24874/pes.si.24.02.021
J. Nancy Namratha, P. Venkata Subramanian, Rama Koteswara Rao Alla
{"title":"DYNAMICAL MODEL-BASED LOAD FREQUENCY CONTROL OF A MODERN POWER SYSTEM INTEGRATED WITH DELAYS, EV & RES","authors":"J. Nancy Namratha, P. Venkata Subramanian, Rama Koteswara Rao Alla","doi":"10.24874/pes.si.24.02.021","DOIUrl":"https://doi.org/10.24874/pes.si.24.02.021","url":null,"abstract":"","PeriodicalId":33556,"journal":{"name":"Proceedings on Engineering Sciences","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140389001","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}
Pub Date : 2024-03-20DOI: 10.24874/pes.si.24.02.003
Pankaj Kumar, Rajinder Singh Sodhi
{"title":"LITERATURE REVIEW ON IMPLEMENTATION OF INTUITIONISTIC FUZZY SET USING ANALYTICAL HIERARCHY PROCESS (AHP) FOR FOOD MANUFACTURING INDUSTRY BASED ON MULTI-FACTORS","authors":"Pankaj Kumar, Rajinder Singh Sodhi","doi":"10.24874/pes.si.24.02.003","DOIUrl":"https://doi.org/10.24874/pes.si.24.02.003","url":null,"abstract":"","PeriodicalId":33556,"journal":{"name":"Proceedings on Engineering Sciences","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140389102","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}
Pub Date : 2024-03-20DOI: 10.24874/pes.si.24.02.020
Vijay Prasad, Pranab Das, Y. Jayanta Singh
{"title":"LOCALISATION OF TEXT IN A NATURAL SCENE IMAGE BASED ON DEVANAGARI SCRIPT RULE USING DEEP LEARNING","authors":"Vijay Prasad, Pranab Das, Y. Jayanta Singh","doi":"10.24874/pes.si.24.02.020","DOIUrl":"https://doi.org/10.24874/pes.si.24.02.020","url":null,"abstract":"","PeriodicalId":33556,"journal":{"name":"Proceedings on Engineering Sciences","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140389189","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}
Pub Date : 2024-03-20DOI: 10.24874/pes.si.24.02.006
G. Ezhilarasan, Kalyan Acharjya, Ajay Kumar, Anup Kumar
Optimized Bidirectional Long Short-Term
优化的双向长线短线
{"title":"ESTIMATING THE CHARGING CONSUMPTION FOR EVs USING A NOVEL NEURAL NETWORK TECHNIQUE","authors":"G. Ezhilarasan, Kalyan Acharjya, Ajay Kumar, Anup Kumar","doi":"10.24874/pes.si.24.02.006","DOIUrl":"https://doi.org/10.24874/pes.si.24.02.006","url":null,"abstract":"Optimized Bidirectional Long Short-Term","PeriodicalId":33556,"journal":{"name":"Proceedings on Engineering Sciences","volume":" 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140388587","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}
Pub Date : 2024-03-20DOI: 10.24874/pes.si.24.02.015
Amita Shukla, Amit Prakash, Sen D. Ganesh, B. P. Singh
The Hybrid Galactic Gravitational Optimization (HGGO) method of Three-area power system (3APS) control of frequency is the main subject of this work. The suggested method has advantages of easy implementation, computing efficiency and consistent convergence. The goal is to use the HGGO algorithm to fine-tune the Proportional-integral-derivative (PID) controller and create stable, trustworthy system. A thorough simulation of the three-area Load Frequency Control (LFC) system is carried out in MATLAB-SIMLINK environment. By optimizing PID control settings. The previous subject moves to the gravitational search algorithm (GSA), which is known for its optimization ability but is hampered by problems with local optima. This is addressed by the clustering-based learning used by the Hybrid Galactic Gravitational Optimization, which divides the programmed into clusters and uses a variety of techniques. To validate the proposed HGGO controller, load disturbances are applied to the power system and simulated outcomes for several HGGO-based load configurations are obtained
{"title":"FINE-TUNING LOAD FREQUENCY STABILITY IN THREE-AREA POWER SYSTEM: CUSTOMIZING PID CONTROLLER VIA HYBRID GALACTIC GRAVITATIONAL OPTIMIZATION","authors":"Amita Shukla, Amit Prakash, Sen D. Ganesh, B. P. Singh","doi":"10.24874/pes.si.24.02.015","DOIUrl":"https://doi.org/10.24874/pes.si.24.02.015","url":null,"abstract":"The Hybrid Galactic Gravitational Optimization (HGGO) method of Three-area power system (3APS) control of frequency is the main subject of this work. The suggested method has advantages of easy implementation, computing efficiency and consistent convergence. The goal is to use the HGGO algorithm to fine-tune the Proportional-integral-derivative (PID) controller and create stable, trustworthy system. A thorough simulation of the three-area Load Frequency Control (LFC) system is carried out in MATLAB-SIMLINK environment. By optimizing PID control settings. The previous subject moves to the gravitational search algorithm (GSA), which is known for its optimization ability but is hampered by problems with local optima. This is addressed by the clustering-based learning used by the Hybrid Galactic Gravitational Optimization, which divides the programmed into clusters and uses a variety of techniques. To validate the proposed HGGO controller, load disturbances are applied to the power system and simulated outcomes for several HGGO-based load configurations are obtained","PeriodicalId":33556,"journal":{"name":"Proceedings on Engineering Sciences","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140388708","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}
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