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Recommendation of Resource Allocation decision Based on Bipartite Graph Network Structure

IEIE Transactions on Smart Processing and Computing 2025年第1期14卷 128-139页

作者： Pei, Wen Pan, Wen-An Huang, Jui-Chan College of Management Chung Hua University Hsinchu30012 Taiwan Ph.D Program of Management Chung Hua University Hsinchu30012 Taiwan Department of Industrial Engineering and Management National Kaohsiung University of Science and Technology Kaohsiung807618 Taiwan

In resource allocation decisions in business, fully understanding customers’ needs and preferences helps to maximise benefits. As a result, in the modern business environment, the design of customized recommendation systems has gained a lot of attention. To this end, the study designs a recommendation algorithm for resource allocation decision based on improved two-part graph network structure. In this algorithm, an improved K-means clustering algorithm is introduced to deeply mine potential information. The calculation of similarity between users is also optimised to assist the target user to find the real neighbouring users. The findings demonstrate that, in comparison to the other algorithms, the resource allocation recommendation algorithm based on improved bipartite graph suggested in the study has a greater hit rate. The hit rate of the suggested algorithm can reach 32.5% when the recommendation list length is 10, which is a 21.5% improvement over the collaborative filtering algorithm. The suggested algorithm’s popularity is only 39.1, which is 69.3 less than the collaborative filtering algorithm when the suggestion list length is 10. Furthermore, the suggested algorithm for resource allocation decision-making created by the research has a greater recommendation accuracy, more personalization, and diversity, as seen by the proposed algorithm’s mean Hamming distance of 0.976. Through an improved bipartite graph network, the algorithm can fully analyze the historical preference information of users, effectively capture the complex relationship between users and products, generate personalized recommendation lists, and improve user satisfaction and purchase conversion rates. It provides an effective recommendation role for resource allocation decisions in modern business and helps to create greater economic benefits. © 2025 Institute of Electronics Engineers of Korea. All rights reserved.

关键词： Collaborative filtering

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The “High-High” Leader Rides Again!

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Group & Organization management 1984年第4期9卷 437-450页

作者： Powell, Gary N. Butterfield, d. Anthony Associate Professor of Management and Organization University of Connecticut Professor of Management and Organizational Behavior University of Massachusetts Director Ph.D program School of Management University of Massachusetts

This study extends earlier attribution research on leadership regarding the “high-high” effective leader stereotype. Stories depicting managers using either high-high or low-low leadership styles were rated by 859 business students. For both styles, when group performance was high, managers were seen as engaging in more initiating structure and consideration behavior than when performance was low. The high-high style was also evaluated more favorably than the low-low style, independent of the effect of performance. Combined with results from previous research, these results demonstrate that a view of the effective leader as high-high in behavior is a strongly-held implicit theory of leadership and not a myth as far as observers are concerned. Such a view can be used by leaders to their advantage. © 1984, Sage Publications. All rights reserved.

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Mitigating industrial pollution along the Atlantic coast of Cameroon: An overview of government efforts

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Environmentalist 2006年第1期26卷 41-50页

作者： Alemagi, dieudonne Oben, Pius M. Ertel, Jürgen Environmental and Resource Management Ph.D Program Department of Industrial Sustainability Brandenburg University of Technology Cottbus Germany Department of Geology and Environmental Science University of Buea Cameroon Department of Industrial Sustainability Brandenburg University of Technology Cottbus Germany

This paper presents an overview of the initiatives that have been formulated by the government of Cameroon to address the problem of industrial pollution. It also prescribes robust recommendations that could be employed to save the Atlantic coast of Cameroon from industrial pollutants. After the participation of Cameroon in the Earth Summit in Rio de Janeiro in 1992, the government took a significant step to overhaul its institutional framework, legal framework and policy framework vis-à-vis the regulation of industrial pollution. Under the auspices of the United Nation Industrial development Organisation (UNIdO), the Gulf of Guinea Large Marine Ecosystem Project aimed at sustaining the health of the Atlantic coast of Cameroon by ensuring treatment of industrial wastes, oil spills, sewage and heavy metals was implemented (1995-1999). Based upon careful analysis, however, the paper argues that these efforts have had little or no discernable impacts and that industrial activities along the Atlantic coast of Cameroon are still a major threat to safety, health and the environment. With a considerable number of hurdles that still persist, sufficient environmental improvement in industrial pollution along the Atlantic coast of Cameroon is far-fetched. Nevertheless, the paper concludes that marked environmental improvement can be obtained if: (i) competent personnel are appointed in ministries that play an active role in mitigating industrial pollution (ii) research partnerships are forged with local universities (iii) industrial machinery and equipment are improved (iv) inter institutional conflicts are addressed (v) a more collaborative forum between stakeholders is established (vi) adequate monitoring is instituted. © 2006 Springer Science + Business Media, Inc.

关键词： Atlantic coast of Cameroon Environmental improvement Industrial pollution Institutional framework Legal framework Policy framework

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Factors Affecting Resource Allocation for Simultaneous Projects: A Systematic Literature Review

Factors Affecting Resource Allocation for Simultaneous Proje...

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IEEE International Technology management Conference

作者： Sara Alsafadi Junu Jahana Mohamed Al-Ali Anas Alteneiji Salwa Beheiry Department of Industrial Engineering Engineering System Management Ph.D Program Sharjah UAE Department of Civil Engineering American University of Sharjah Sharjah UAE

ISBN: (数字)9798350367355

ISBN: (纸本)9798350367362

Contemporary business practices necessitate organizations to undertake multiple simultaneous projects, which can result in challenges related to meeting deadlines, budget constraints, and specifications of the end user. Although numerous studies have investigated ways to improve project management outcomes, relatively few have examined project management in multi-project environments. Multi-project environments present unique challenges such as coordination and collaboration between and within project teams, scheduling, resource allocation, and skill development. Therefore, a systematic literature review was conducted to identify the 16 most-cited articles relevant to the topic published in the past ten years, in addition to the five most-cited articles published in the past three years. These articles were analyzed to identify the most pertinent factors affecting resource allocation in multi-project environments and provide recommendations for future research directions. The data analysis approach adopted in this study was a content analysis. Through content analysis, the systematic literature review identified three major themes: (1) agile or flexible methodologies in multiproject environments, (2) human resources and labor allocation and scheduling, and (3) various factors affecting resource scheduling and allocation. This study provides an opportunity to scrutinize the past 10 years of research on the factors affecting resource allocation for simultaneous projects in programs, highlighting the main research themes and knowledge gaps, and proposing an agenda for future research.

关键词： Content management Technology management data analysis Project management Collaboration Organizations Scheduling Resource management Systematic literature review

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Feature-based image capturing and recognition by using active contour models

Chung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute ...

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Chung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute of Technology 2012年第1期41卷 57-68页

作者： Kao, Chih-Hong Mao, Ko-Min Hsieh, Lung-Far Aeronautical Systems Research Division Chung-Shan Institute of Science and Technology Taiwan PH.D Program in Management Da-Yeh University Changhua Taiwan School of Management Da-Yeh University Changhua Taiwan

The purpose of establishing a ship recognition system is to research and develop effective ship contour capture in the natural sea environment. We can develop a ship recognition system that is reliable and fast based on a database of ship images. We propose a recognition algorithm for ship images. This system utilizes gradient vector flow to capture the ship image contour first and calculates the geometric eigenvalue using this contour and Fourier descriptor. The eigenvalues are used to perform separated rough and detailed recognition. A graphic user interface is developed and the validity of the proposed technique is demonstrated using identifying images.

关键词： Ships

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Enhanced Financial Performance Classification Using an Improved Id3 Algorithm with decision Coherence

Informatica (Slovenia)

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Informatica (Slovenia) 2024年第21期48卷 27-36页

The evaluation of enterprise financial performance is of great significance to investors, creditors and managers. Through the performance evaluation, we can judge the comprehensive strength of the enterprise and then take corresponding countermeasures. The study mainly quantifies the three financial performance factors of profitability, operating ability and solvency in segments. At the same time, variables are constructed for the statement subjects other than the performance factors. In addition, an iterative binary tree three-generation algorithm model based on decision coordination degree is introduced to classify and measure the financial performance of enterprises. The study used 528 financial statements from a manufacturing industry and employed a mean imputation strategy and Z-score standardization method for preprocessing. Ultimately, 19 variables were selected for financial performance evaluation. Using the model's construction time, classification accuracy, and area under the curve as evaluation indicators, verify the performance advantages of the proposed model in financial performance evaluation. The results show that when the sample size is 300, the construction time of the improved model is only 120ms, and out of 50 financial statements, only 7 financial statements with "poor" profitability are misclassified as "excellent". The average classification accuracy of the improved model is 87.57% and the average area under the curve is 0.8369. In the solvency test, the average classification accuracy of the improved model in the solvency indicator is 84.21%. In the test of operating capacity indicators, the mean value of classification accuracy of the improved model proposed by the Institute in operating capacity indicators is as high as 85.16%. The results show that the classification model proposed by the Institute has the least construction time and the highest classification accuracy. It provides reliable technical support for the rational allocation of

关键词： Profitability

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Innovation and Marketing Performance of Womenpreneur in Fashion Industry in Indonesia

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Procedia - Social and Behavioral Sciences 2016年 219卷 299-306页

作者： Heny Hendrayati Vanessa Gaffar Ph.D Student of Management Science Study Universitas Pendidikan Indonesia Jl. Dr. Setiabudhi No. 229 Bandung Indonesia Management Study Program UniversitasPendidikan Indonesia Jl. Dr. Setiabudhi No. 229 Bandung Indonesia

Creative industry in Indonesia plays an important role since it gives a great economic contribution to Indonesia's GdP. The existing condition shows the increase of competition in the industry and thus resulting in the decreasing of sales. It becomes a problem since it affects the industry's marketing performance. This research is focusing on women entrepreneur (womenpreneur) who are currently involved in fashion industry. This research will explore marketing performance in fashion industry, as well as analyze the influence of innovation to marketing performance of womanpreneur in fashion industry. Most of the womenpreneur didn’t understand the importance of having an original product that has uniqueness. In terms of marketing performance, sales as well customer growth is going down. There is a positive influence between innovation a marketing performance of womenpreneur in fashion industry.

关键词： Innovation Marketing Performance Womenpreneur Fashion Creative industry

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development of Epoxy/BN Composites with High Thermal Conductivity for Metal-Core Printed Circuit Board(MCPCB)

Development of Epoxy/BN Composites with High Thermal Conduct...

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2015 International Conference on Intelligent Materials and Manufacturing Engineering (IMME 2015)

作者： Jae Hyun Choi Bong Goo Choi Min A Lee Jae-Sik Na Laboratory of Fiber Application and Manufacturing Department of Fiber and Composite MaterialsFeng Chia University School of Chinese Medicine “China Medical University” Department of Fashion Design Asia University Department of Ph.D Program in Civil and Hydraulic Engineering Feng Chia University Department of Land Management Feng Chia University The Department of Textile Engineering “Chinese Culture University” Institute of Biomedical Engineering and Materials Science “Central Taiwan University of Science and Technology”

The epoxy composites with high thermal conductivity for metal-core printed circuit board(MCPCB) can be prepared by varnish coating and a hot press method. Alumina filler of plate-like shape was used as primary micro-filler, while plate-like alumina filler, h-BN, a-BN and s-BN filler were used for blending into the plate-like alumina filler as the secondary filler. Results showed that the secondary fillers a-BN and s-BN loaded epoxy composites have higher thermal conductivity than alumina filler single-loaded composites. Also, BN filler has high thermal conductivity, but h-BN filled epoxy composite has lower thermal conductivity than alumina filled epoxy composite. The decrease of voids in epoxy composite are very important, and the filler shape and surface modification is also necessary to achieve high thermal conductivity in epoxy composite for MCPCB

关键词： MCPCB Epoxy composite Boron nitride Thermal conductivity Thermal diffusivity

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physical Properties of Geotextiles Reinforced by Recycled Kevlar Selvages

Physical Properties of Geotextiles Reinforced by Recycled Ke...

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2015 International Conference on Intelligent Materials and Manufacturing Engineering (IMME 2015)

作者： Hee Jung Moon Bong Soo Lee Seung Hyun Cho Laboratory of Fiber Application and Manufacturing Department of Fiber and Composite MaterialsFeng Chia University School of Chinese Medicine "China Medical University" Department of Fashion Design Asia University Department of Ph.D Program in Civil and Hydraulic Engineering Feng Chia University Department of Land Management Feng Chia University The Department of Textile Engineering "Chinese Culture University" Institute of Biomedical Engineering and Materials Science "Central Taiwan University of Science and Technology"

Kevlar fiber are artifical fibers that have been globally commonly used due to their attributes of a high modulus, a low elongation, an impact resistance, a chemical resistance, and thermostability. Therefore, this study proposes nonwoven geotextiles by corporating with recycled Kevlar unidirectoinal selvage with a low production cost, crimped polyester(PET) fibers, and low-melting-point PET(LPET) fibers. The content of LPET fiber is specified as 20 wt%, while the content of Kevlar fiber varies as 0 wt%, 5 wt%, 10 wt%, 15 wt%, and 20 wt%. The optimal tear strength of 195 N occurs with a content of Kevlar fiber being 20 wt%.

关键词： Recycled Kevlar fiber Low-melting-point polyester(PET) fiber Nonwoven Geotextile

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RESOLVING dIFFERENCES WITHIN THE REHABILITATION TEAM

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Rehabilitation Nursing 1984年第3期9卷 38-40页

作者： Margolis, Howard Fiorelli, Joseph S. Leonard, H. Skipton Howard Margolis received his EdD from Hofstra University. He is currently director of program development for Star Systems Consultation and Training in Philadelphia PA. He specializes in assisting health organizations improve productivity and service through the judicious use of their human resources. Joseph S. Fiorelli received his PhD in organizational development and training from Temple University and is currently director of education for Moss Rehabilitation Hospital in Philadelphia PA. He specializes in organizational problem solving psycho-educational processes and adult education. He is a frequent presenter and author in the areas of training and inter-disciplinary teamwork. H. Skipton Leonard Ph.D received his doctorate from the Research Center For Human Development NY University. He was a post doctoral fellow in group processes at the National Institute of Mental Health. He is currently a clinical psychologist in private practice in the Washington DC area and has just co-authored a text on nursing management.

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