Soichiro Aihara, Toru Sugihara, Kahori Ogashiwa, Kumiko Kanekawa, M. Mori, S. Hirokawa
This preliminary study visualizes the characteristics of the medium-term plan of ten universities that were transferred from private to public ones. The analysis tool is KH Coder version 3. Drawing 2-D maps in three ways: Co-occurrence network, Correspondence analysis, Self-organizing map make it to interpret the whole picture.
{"title":"A Preliminary Study on the Medium-term Plan of Public Universities Transferred from Private Universities","authors":"Soichiro Aihara, Toru Sugihara, Kahori Ogashiwa, Kumiko Kanekawa, M. Mori, S. Hirokawa","doi":"10.29007/56sc","DOIUrl":"https://doi.org/10.29007/56sc","url":null,"abstract":"This preliminary study visualizes the characteristics of the medium-term plan of ten universities that were transferred from private to public ones. The analysis tool is KH Coder version 3. Drawing 2-D maps in three ways: Co-occurrence network, Correspondence analysis, Self-organizing map make it to interpret the whole picture.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69422566","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}
One of the difficulties to create stock control is the way to deal with the stockroom and organize stock to satisfy both on the web and offline (retailer) orders. Mostly, the current improvement of stock administration by the garment industry is yet running physically utilizing paper and notes. It causes miscalculation and loss of stock by the piece of clothing industry happened when recording the stock information. Additionally, it influences shrinkage and quality fall flat reduces which prompts the inconsistency between the recorded stock and the actual stock. The fundamental motivation behind this theory is to assemble an answer for stock administration for Garment Industry and encourages the piece of clothing industry with the Buka Gudang – Inventory Management System. Advantage from Buka Gudang – Inventory Management System for an article of the clothing industry is to improve for eliminating bottlenecks and disposal of repetitive advances can without much of a stretch be accomplished, encourage Garment Industry for a mechanized report of stock by checking stock rundown that will be refreshed electronically each time a deal is made and print out the report featuring the stock to be restocked, and Help business for keeping up the stock rundown naturally and give an exactness to each refreshed information, for example, a precise numerical estimation on Buka Gudang – Inventory Management System. Investigation measure for this postulation is finished by Data Gathering through Interview with a few dealers around Tanah Abang Jakarta who possessed a centerpiece of the clothing industry, at that point doing some perception on the stock framework and current piece of clothing industry circumstance that requirements stock administration to have the option to control the stockroom of an article of the clothing industry. Inventory, Control, Garment, Stock, Online
{"title":"Garment Inventory Management Systems","authors":"Irfan Luthfi Makarim, Reflia Yusramdaleni, Alif Fathir, Tanty Oktavia, Ford Lumban Gaol, Takaaki Hosoda","doi":"10.29007/5tq5","DOIUrl":"https://doi.org/10.29007/5tq5","url":null,"abstract":"One of the difficulties to create stock control is the way to deal with the stockroom and organize stock to satisfy both on the web and offline (retailer) orders. Mostly, the current improvement of stock administration by the garment industry is yet running physically utilizing paper and notes. It causes miscalculation and loss of stock by the piece of clothing industry happened when recording the stock information. Additionally, it influences shrinkage and quality fall flat reduces which prompts the inconsistency between the recorded stock and the actual stock. The fundamental motivation behind this theory is to assemble an answer for stock administration for Garment Industry and encourages the piece of clothing industry with the Buka Gudang – Inventory Management System. Advantage from Buka Gudang – Inventory Management System for an article of the clothing industry is to improve for eliminating bottlenecks and disposal of repetitive advances can without much of a stretch be accomplished, encourage Garment Industry for a mechanized report of stock by checking stock rundown that will be refreshed electronically each time a deal is made and print out the report featuring the stock to be restocked, and Help business for keeping up the stock rundown naturally and give an exactness to each refreshed information, for example, a precise numerical estimation on Buka Gudang – Inventory Management System. Investigation measure for this postulation is finished by Data Gathering through Interview with a few dealers around Tanah Abang Jakarta who possessed a centerpiece of the clothing industry, at that point doing some perception on the stock framework and current piece of clothing industry circumstance that requirements stock administration to have the option to control the stockroom of an article of the clothing industry. Inventory, Control, Garment, Stock, Online","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69422614","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}
This paper proposes a new AI (Artificial Intelligence) enabled SaaS (Software as a Service) Framework to facilitate the work of Fashion Designers to evolve new and innovative Fashion Designs. Fashion Designs are, more often than not, complex; using concepts of Service Choreography using Blackboard Architecture, we propose a new model for facilitating collaborative / individual innovative work of Fashion Designers.
{"title":"AI Enabled SaaS Framework for Fashion Designing","authors":"D. Chanda, N. Debnath","doi":"10.29007/997h","DOIUrl":"https://doi.org/10.29007/997h","url":null,"abstract":"This paper proposes a new AI (Artificial Intelligence) enabled SaaS (Software as a Service) Framework to facilitate the work of Fashion Designers to evolve new and innovative Fashion Designs. Fashion Designs are, more often than not, complex; using concepts of Service Choreography using Blackboard Architecture, we propose a new model for facilitating collaborative / individual innovative work of Fashion Designers.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69427955","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}
In the discussion about digital sovereignty, an important goal of the EU, there is always the fear that no one would stand a chance against the big giants from the U.S. which dominate the cloud market thanks to early starts, huge resources and network effects. However, the state-funded open source project “sciebo” proves the opposite, at least in the higher education sector. High data protection is a central argument for using a private cloud service at universities, but this alone does not make it competitive. University-specific functions and integrations – for example in the area of digital teaching or research data management – can be a unique selling point, but for a majority of students and employees the basic sync and share functions seem to be sufficient. So how can a university cloud service compete with commercial offers and what can make it successful in the long term? In a cloud landscape dominated by big players like Microsoft, Apple or Google, who move their established services to the cloud and encourage customers to also use their cloud storage with the arguments of a central account and seamless linkage with their other products, this question needs to be addressed to those at the front line: the users. To investigate the above question, we conducted a user survey, taking the university cloud service “sciebo” as an example, which has been in use at numerous higher education institutions in the German state of North Rhine-Westphalia since 2015.
{"title":"David against Goliath: How a University Cloud Succeeds in the Niche of Higher Education – a User Survey","authors":"Anne Thoring, Dominik Rudolph, R. Vogl","doi":"10.29007/9mjz","DOIUrl":"https://doi.org/10.29007/9mjz","url":null,"abstract":"In the discussion about digital sovereignty, an important goal of the EU, there is always the fear that no one would stand a chance against the big giants from the U.S. which dominate the cloud market thanks to early starts, huge resources and network effects. However, the state-funded open source project “sciebo” proves the opposite, at least in the higher education sector. High data protection is a central argument for using a private cloud service at universities, but this alone does not make it competitive. University-specific functions and integrations – for example in the area of digital teaching or research data management – can be a unique selling point, but for a majority of students and employees the basic sync and share functions seem to be sufficient. So how can a university cloud service compete with commercial offers and what can make it successful in the long term? In a cloud landscape dominated by big players like Microsoft, Apple or Google, who move their established services to the cloud and encourage customers to also use their cloud storage with the arguments of a central account and seamless linkage with their other products, this question needs to be addressed to those at the front line: the users. To investigate the above question, we conducted a user survey, taking the university cloud service “sciebo” as an example, which has been in use at numerous higher education institutions in the German state of North Rhine-Westphalia since 2015.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69427990","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}
Decomposing a network into communities is one of the most used techniques in network science. Modularity is typically used to measure the goodness of such a decomposition. In this paper we develop a method which allows us to begin with a crisp decomposition (no overlaps) and move to an overlapping decomposition while increasing the modularity. We also show that the same technique can be used to improve existing overlapping decompositions.
{"title":"Title Overlapping Communities Discovery and Improvement","authors":"Rong Yang","doi":"10.29007/hdl3","DOIUrl":"https://doi.org/10.29007/hdl3","url":null,"abstract":"Decomposing a network into communities is one of the most used techniques in network science. Modularity is typically used to measure the goodness of such a decomposition. In this paper we develop a method which allows us to begin with a crisp decomposition (no overlaps) and move to an overlapping decomposition while increasing the modularity. We also show that the same technique can be used to improve existing overlapping decompositions.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69432479","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}
This paper presents a prototype for an information exchange system, which allows information exchange between companies without actually sharing data. First, the need for such an intercompany exchange platform is explained and the value for supply chains resulting from such a platform is described. A literature review presents the existing concepts and techniques contributing to the development of an architecture. Finally. The information exchange concept and the prototype implementation are explained in detail.*
{"title":"Development of a Prototype for a Process Support and Analysis Platform for Small and Medium-sized Enterprises","authors":"Jonas Kallisch, Christoph Wunck","doi":"10.29007/jmrk","DOIUrl":"https://doi.org/10.29007/jmrk","url":null,"abstract":"This paper presents a prototype for an information exchange system, which allows information exchange between companies without actually sharing data. First, the need for such an intercompany exchange platform is explained and the value for supply chains resulting from such a platform is described. A literature review presents the existing concepts and techniques contributing to the development of an architecture. Finally. The information exchange concept and the prototype implementation are explained in detail.*","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69432579","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}
Society 5.0 is a knowledge-driven society that is impacted by rapid changes in the digital world. Due to the influence of the tools and technologies introduced by Industry 4.0 or the Fourth Industrial Revolution (4IR), Society 5.0 is challenged by the amount of knowledge created through the integration of cyber and physical spaces. The exploitation of the 4IR’s technological advancements increases the potential of knowledge creation, presenting with it a knowledge management (KM) challenge. Therefore, the purpose of this research was to identify the KM methodologies available for adoption in Society 5.0. In this research, systematic literature review was used to identify and evaluate existing KM methodologies from academic reviewed papers published between 2006 and 2020. It was found that some of the KM methodologies are industry specific and derived from best practice, while others focused on the development and implementation of KM systems. Based on the findings, elements of a potential KM methodology for knowledge management in Society 5.0 are presented.
{"title":"Selecting a Knowledge Management Methodology in Society 5.0","authors":"B. Simelane, Hanlie Smuts","doi":"10.29007/ljbz","DOIUrl":"https://doi.org/10.29007/ljbz","url":null,"abstract":"Society 5.0 is a knowledge-driven society that is impacted by rapid changes in the digital world. Due to the influence of the tools and technologies introduced by Industry 4.0 or the Fourth Industrial Revolution (4IR), Society 5.0 is challenged by the amount of knowledge created through the integration of cyber and physical spaces. The exploitation of the 4IR’s technological advancements increases the potential of knowledge creation, presenting with it a knowledge management (KM) challenge. Therefore, the purpose of this research was to identify the KM methodologies available for adoption in Society 5.0. In this research, systematic literature review was used to identify and evaluate existing KM methodologies from academic reviewed papers published between 2006 and 2020. It was found that some of the KM methodologies are industry specific and derived from best practice, while others focused on the development and implementation of KM systems. Based on the findings, elements of a potential KM methodology for knowledge management in Society 5.0 are presented.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69434404","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}
The present paper aims to reduce unnecessary information obtained through inputs, supposed to be inappropriately encoded, for producing easily interpretable networks with better generalization. The proposed method lies mainly in forced reduction of selective information even at the expense of a larger cost to eliminate unnecessary information coming from the inputs in the initial stage of learning. Then, in the later stage of learning, selective information is increased to produce a small number of really important connection weights for learning. The method was preliminarily applied to two business data sets: the bankruptcy and the mission statement data sets, in which the interpretation is considered as important as generalization performance. The results show that selective information could be decreased, though the cost to realize this reduction became larger. However, the accompa- nying selective information increase could be used to compensate for the expensive cost to produce simpler and interpretable internal representations with better generalization performance.
{"title":"Forced Selective Information Reduction for Interpreting Multi-Layered Neural Networks","authors":"R. Kamimura, Ryozo Kitajima","doi":"10.29007/n4kz","DOIUrl":"https://doi.org/10.29007/n4kz","url":null,"abstract":"The present paper aims to reduce unnecessary information obtained through inputs, supposed to be inappropriately encoded, for producing easily interpretable networks with better generalization. The proposed method lies mainly in forced reduction of selective information even at the expense of a larger cost to eliminate unnecessary information coming from the inputs in the initial stage of learning. Then, in the later stage of learning, selective information is increased to produce a small number of really important connection weights for learning. The method was preliminarily applied to two business data sets: the bankruptcy and the mission statement data sets, in which the interpretation is considered as important as generalization performance. The results show that selective information could be decreased, though the cost to realize this reduction became larger. However, the accompa- nying selective information increase could be used to compensate for the expensive cost to produce simpler and interpretable internal representations with better generalization performance.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69446552","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}
The research is aimed at the development of an ontology that classifies the users into user types based on which personalized decisions are recommended. A user type represents a category of users distinguished by common preferences and decision-making behaviours. The ontology is intended to be used in a decision support system implemented following an earlier proposed conceptual framework of intelligent decision support based on user digital life. The paper briefly introduces this framework and provides the formalization for main framework components. The major research result is a multi-aspect user ontology that models a user via three aspects: user profile, user segment, and user digital life model. Users’ digital traces is the framework’s component that provides information about the users to determine their types. Suggestions on ontology usage for intelligent decision recommendation are provided.
{"title":"User Ontology for Intelligent Decision Support Based on User Digital Life","authors":"A. Smirnov, T. Levashova","doi":"10.29007/vbbq","DOIUrl":"https://doi.org/10.29007/vbbq","url":null,"abstract":"The research is aimed at the development of an ontology that classifies the users into user types based on which personalized decisions are recommended. A user type represents a category of users distinguished by common preferences and decision-making behaviours. The ontology is intended to be used in a decision support system implemented following an earlier proposed conceptual framework of intelligent decision support based on user digital life. The paper briefly introduces this framework and provides the formalization for main framework components. The major research result is a multi-aspect user ontology that models a user via three aspects: user profile, user segment, and user digital life model. Users’ digital traces is the framework’s component that provides information about the users to determine their types. Suggestions on ontology usage for intelligent decision recommendation are provided.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69451940","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}
Keigo Fusaka, Yoichi Tomioka, Hiroshi Saito, Y. Kohira
In recent years, accidents and damages caused by wild animals have been serious prob- lems. It has become important to detect wild animals accurately at an early stage. A sufficient number of training infrared images is required to detect wild animals taking various postures at night time using deep learning techniques. In this study, we propose a method to increase appropriate training samples for night wild animal detection using annotated daytime images. We employ a model based on Cycle Generative Adversarial Network (CycleGAN) to be able to generate pseudo infrared images from daytime images. In our experiments, we apply the proposed method to bear and boar detection. The exper- imental results show that the proposed method achieves significant improvements in bear detection accuracy taking various postures.
{"title":"Reliable Night Bear and Boar Detection Based on Training with Pseudo Infrared Images","authors":"Keigo Fusaka, Yoichi Tomioka, Hiroshi Saito, Y. Kohira","doi":"10.29007/xghf","DOIUrl":"https://doi.org/10.29007/xghf","url":null,"abstract":"In recent years, accidents and damages caused by wild animals have been serious prob- lems. It has become important to detect wild animals accurately at an early stage. A sufficient number of training infrared images is required to detect wild animals taking various postures at night time using deep learning techniques. In this study, we propose a method to increase appropriate training samples for night wild animal detection using annotated daytime images. We employ a model based on Cycle Generative Adversarial Network (CycleGAN) to be able to generate pseudo infrared images from daytime images. In our experiments, we apply the proposed method to bear and boar detection. The exper- imental results show that the proposed method achieves significant improvements in bear detection accuracy taking various postures.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69483812","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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