THE SCIENTIFIC TEMPER最新文献_第4页

Optimization of cost to customer of power train in commercial vehicle using knapsack dynamic programming influenced by vehicle IoT data 基于车载物联网数据的背包动态规划商用车动力总成客户成本优化

THE SCIENTIFIC TEMPER Pub Date : 2023-06-06 DOI: 10.58414/scientifictemper.2023.14.2.12

C. M, R. P. K

{"title":"Optimization of cost to customer of power train in commercial vehicle using knapsack dynamic programming influenced by vehicle IoT data","authors":"C. M, R. P. K","doi":"10.58414/scientifictemper.2023.14.2.12","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.12","url":null,"abstract":"The automotive original equipment manufacturers (OEM) current challenge of deriving the optimized cost to customer for the product when the product is configured dynamically. For every OEM the product they sell is bounded by warranty terms, thus the product configuration they offer should be reliable to withstand the warranty period. This paper discusses about the optimization of cost of the power train configuration which is offered to the customer is incorporated with the product cost and the provisional warranty cost. For a target cost the product planner must configure a power train configuration which should adhere to the target cost but selecting the power train configuration only based on cost will defeat the performance of the vehicle. Thus, power train configuration is governed based on the reliability factor of the power train components which is derived using a vehicle IoT data derived from live running vehicles. The cost to customer is calculated as the sum of product cost and provisional-warranty cost calculated based on the dynamic reliability predicted using the vehicle Internet of Things (IoT) data. In this paper, for the target cost to customer set by the product planner to select the best fit power train configuration for the product line, is formulated as a 0-1 knapsack problem, and dynamic programming is used to find the optimized cost to customer which is the sum of two variables the product cost and provisional warranty cost. The findings using this method is encouraging as the use of combinatorial optimization techniques and the vehicle IoT data model for deriving the dynamic reliability data are working in tandem to provide an optimum cost output.","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126098477","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}

引用次数: 0

Implementation of flexible and customizable free-from mirror heads-up display 实现灵活和可定制的自由镜平视显示

THE SCIENTIFIC TEMPER Pub Date : 2023-06-06 DOI: 10.58414/scientifictemper.2023.14.2.42

Muruganantham P, Harshavardhan J, Rajesh Pk, Neelakrishnan S

引用次数: 0

Assessment of transfer learning models for grading of diabetic retinopathy 糖尿病视网膜病变分级的迁移学习模型评估

THE SCIENTIFIC TEMPER Pub Date : 2023-06-06 DOI: 10.58414/scientifictemper.2023.14.2.17

Sowmiya M, Banu Rekha B, Malar E

引用次数: 0

Foot sens - foot pressure monitoring systems 足部传感器——足部压力监测系统

THE SCIENTIFIC TEMPER Pub Date : 2023-06-06 DOI: 10.58414/scientifictemper.2023.14.2.39

Rasheedha A, Santhosh B, A. N, Sandhiya A

{"title":"Foot sens - foot pressure monitoring systems","authors":"Rasheedha A, Santhosh B, A. N, Sandhiya A","doi":"10.58414/scientifictemper.2023.14.2.39","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.39","url":null,"abstract":"Foot plantar strain is the tension field that acts between the foot and the help surface during regular locomotion and exercises. Data from such strains is significant in gait analysis and posture research for diagnosing lower appendage issues, footwear configuration, sport biomechanics, injury anticipation and give important understanding on the assortment of biomechanical and neurological problems, with treatment and prevention of wounds brought about by high foot pressure. The gadget will quantify the foot tension from FSR, force sensitive resistor sensors, placed on insole of the shoe. These sensors are associated with the Arduino UNO. It decides the foot pressure dissemination in genuine time that permits us to imagine and dissect the data. A uniquely designed programming is made by utilizing LabVIEW. This method can be a real-time checking framework utilizing the pressure visualization program. The patient's details can be taken care of in and are saved in this product and when executed, the strain information gathered is changed over into advanced pattern and a pedobarography is created. This framework gives incredible achievable oversight for wellbeing observation, injury counteraction, and athlete preparing. Plantar tension estimation framework offers the clinician a serious level of convey ability, allowing use among various clinical sites.","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133207960","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}

引用次数: 0

Eco-friendly natural dyes and their application on printing graphics 环保天然染料及其在图形印刷中的应用

THE SCIENTIFIC TEMPER Pub Date : 2023-06-06 DOI: 10.58414/scientifictemper.2023.14.2.15

Nivethra Selvaraj, Dr. R. Prathiba Devi

引用次数: 0

Performance analysis of microstrip patch antenna using binomial series expansion 二项级数展开微带贴片天线的性能分析

THE SCIENTIFIC TEMPER Pub Date : 2023-06-06 DOI: 10.58414/scientifictemper.2023.14.2.29

B. Tharini, R. Rajasudha, A. Kannammal

引用次数: 0

Green Innovation, Pressure, Green Training, and Green Manufacturing: Empirical evidence from the Indian apparel export industry 绿色创新、压力、绿色培训与绿色制造:来自印度服装出口行业的经验证据

THE SCIENTIFIC TEMPER Pub Date : 2023-06-06 DOI: 10.58414/scientifictemper.2023.14.2.07

Sweta Jain, Jacob Joseph Kalapurackal

{"title":"Green Innovation, Pressure, Green Training, and Green Manufacturing: Empirical evidence from the Indian apparel export industry","authors":"Sweta Jain, Jacob Joseph Kalapurackal","doi":"10.58414/scientifictemper.2023.14.2.07","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.07","url":null,"abstract":"The fact that garment companies contribute to the fast declining environmental conditions in emerging nations and the dearth of sufficient studies that may assist manufacturing companies in reversing this trend, this empirical study of Indian garment manufacturing export units aims to investigate the relationships between Pressure, Green manufacturing, Green Training, and Green Innovation Additionally, it investigates the mediating impacts of green innovation and green training while assessing the impact of Pressure on green manufacturing The research data is collected by preparing questionnaires for garment manufacturing firms in Karnataka Data was acquired by a survey method. Hypotheses were tested using Smart PLS 4.0. The findings indicate that green training, green innovation, and pressures significantly and positively impact green manufacturing. However, green innovation has the most significant impact, followed by green training and Pressure. According to the findings, there is a partial positive significant mediation of Pressure between Green training and GM, a partial positive significant mediation of green innovation between Green training and GM, and a partial positive significant mediation of Pressure between Green innovation and Green Manufacturing. Furthermore, the R2 value of GM is high, exhibiting a 78.2% impact. The investigation results indicate that all the proposed hypotheses have been validated, which adds to the existing literature. The results of this empirical study, which is the first to examine the implications of Pressure, Green Training, and Green Innovation variables on adopting GM practices specifically for the Indian garment manufacturing export industry, will be equally helpful to researchers and practitioners to combat India's environmental problems.","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128516645","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}

引用次数: 0

Data analysis and machine learning-based modeling for real-time production 数据分析和基于机器学习的实时生产建模

THE SCIENTIFIC TEMPER Pub Date : 2023-06-06 DOI: 10.58414/scientifictemper.2023.14.2.22

S. ChandraPrabha, S. Kantha Lakshmi

引用次数: 0

Performance analysis of RF substrate materials in ISM band antenna applications 射频基板材料在ISM波段天线中的性能分析

THE SCIENTIFIC TEMPER Pub Date : 2023-06-06 DOI: 10.58414/scientifictemper.2023.14.2.20

Kowsalya Ramasamy, Thiyagarajan Krishnan

引用次数: 0

Impact of selected macroeconomic variables on economic growth in Ethiopia: A time series analysis 选定宏观经济变量对埃塞俄比亚经济增长的影响:时间序列分析

THE SCIENTIFIC TEMPER Pub Date : 2023-06-06 DOI: 10.58414/scientifictemper.2023.14.2.47

S. Shah, Netsanet Gizaw

{"title":"Impact of selected macroeconomic variables on economic growth in Ethiopia: A time series analysis","authors":"S. Shah, Netsanet Gizaw","doi":"10.58414/scientifictemper.2023.14.2.47","DOIUrl":"https://doi.org/10.58414/scientifictemper.2023.14.2.47","url":null,"abstract":"Our study examines the conventional wisdom that causality runs from selected macroeconomic variables to economic growth in Ethiopia. Time series data from 1975 to 2018 were used to determining short and long run relationship among variables. A Johansen’s Cointegration test was used to investigate the presence of long run equilibrium relationship between variables while the Vector Error Correction Model and Granger Causality were used to test the short and long run causality direction between variables. The data were derived from the National Bank of Ethiopia (2020) and World Bank report (2020). Findings reveal that domestic savings, capital formation, exchange rate and price inflation have a positive and significant impact on long-run growth, although they have an insignificant impact in the short run. The result of causality generated a bidirectional association running from trade openness and domestic saving to growth. Unidirectional causality is exhibited between the rest of the variables and economic growth. The estimated coefficient of error correction term was found -0.3751, showing that any deviations from long run equilibrium are corrected are at 37.51% annually and converge towards its long run steady state path. This indicates a signal that long run policy towards inspire selected macro variables has a significant impact on growth. ","PeriodicalId":443629,"journal":{"name":"THE SCIENTIFIC TEMPER","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116448857","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}

引用次数: 0