Natural language processing (NLP) is an indispensable part of advancing the AI era, especially in... more Natural language processing (NLP) is an indispensable part of advancing the AI era, especially in the realm of the human-computer interface/interaction (HCI) for all state-of-the-art software applications. NLP enables interfaces between machines and humans allowing machines/computers/systems to understand human languages and engaging in dialogues. An intelligent chatbot development must incorporate NLP technologies to allow the understanding of users’ utterance and responding in understandable sentences in versatile scenarios. This research investigates the emerging technological trend of intelligent chatbot development. The systematic trend analysis is described in the research. First, patents related to intelligent chatbot domain are retrieved using a well-defined search query. The queries are derived from the knowledge ontology, which is extracted using text-mining algorithms - key term frequency analysis, clustering for sub-domain identification, and Latent Dirichlet Allocation ...
Natural language processing (NLP) is a critical part of the digital transformation. NLP enables u... more Natural language processing (NLP) is a critical part of the digital transformation. NLP enables user-friendly interactions between machine and human by making computers understand human languages. Intelligent chatbot is an essential application of NLP to allow understanding of users’ utterance and responding in understandable sentences for specific applications simulating human-to-human conversations and interactions for problem solving or Q&As. This research studies emerging technologies for NLP-enabled intelligent chatbot development using a systematic patent analytic approach. Some intelligent text-mining techniques are applied, including document term frequency analysis for key terminology extractions, clustering method for identifying the subdomains, and Latent Dirichlet Allocation for finding the key topics of patent set. This research utilizes the Derwent Innovation database as the main source for global intelligent chatbot patent retrievals.
Many factors such as process planning and fixture design contribute to the machining quality of p... more Many factors such as process planning and fixture design contribute to the machining quality of products. Based on the determined operating sequences and the corresponding cutting path and force distribution, fixture design and analysis are proceeded. Further, the result of fixture design and analysis can provide additional information or constraints to be fed-back to the process planning so that the process can be further improved. In this paper, fixture planning of a truck differential carrier is taken as a case study to illustrate how the fixture design and process planning act interactively. By finite element analysis and loading-strain experiments, we explore the effects of fixture system and the dimensional variation of workparts on machining accuracy. The deformation effects of fixturing force are analyzed so that the process planning can be modified for more accurate machining. Moreover, in fixture hardware design, the functional behavior of fixture is verified to ensure the functional requirements are satisfied. Combining the computer-aided engineering (CAE) with experimental verification, this paper presents a systematic approach of fixture design to ensure the workholding accuracy and reliability.
The emergence of additive manufacturing (AM) technology gradually replaces traditional manufactur... more The emergence of additive manufacturing (AM) technology gradually replaces traditional manufacturing processes that use material cutting and removal techniques. The innovative technology of AM will bring major changes to the supply chain networks and the models of manufacturing services. Considering material jetting (MJ) as one of the additive manufacturing core process technique with wide applications, this research utilizes patent technology-function matrix and the theory of solution of inventive problems (TRIZ)-based trajectories to explore MJ research and development niches and opportunities. The analytical results of the TRIZ-based technology-function matrix shows that the ＂jetting technique＂ is the most major technology and most MJ patents are related to TRIZ parameters No. 29 ＂Accuracy of manufacturing＂ and No. 32 ＂Manufacturability.＂ In order to solve the contradiction problems simultaneously between the improving parameters ＂No. 9 Speed＂, ＂No.38 Level of automation＂ and the corresponding worsening parameter No.29 ＂Accuracy of manufacturing＂, ＂No. 28. Replacement of a mechanical system＂ and other seven innovative principles can be applied in developing printing heads technique. The analytical results of patent technology portfolios and the transformation of TRIZ parameters help discover critical strategies and directions for MJ researchers and solution providers.
Natural language processing (NLP) is an indispensable part of advancing the AI era, especially in... more Natural language processing (NLP) is an indispensable part of advancing the AI era, especially in the realm of the human-computer interface/interaction (HCI) for all state-of-the-art software applications. NLP enables interfaces between machines and humans allowing machines/computers/systems to understand human languages and engaging in dialogues. An intelligent chatbot development must incorporate NLP technologies to allow the understanding of users' utterance and responding in understandable sentences in versatile scenarios. This research investigates the emerging technological trend of intelligent chatbot development. The systematic trend analysis is described in the research. First, patents related to intelligent chatbot domain are retrieved using a well-defined search query. The queries are derived from the knowledge ontology, which is extracted using textmining algorithms-key term frequency analysis, clustering for sub-domain identification, and Latent Dirichlet Allocation (LDA) for topic modelling. Afterwards, the management and technology maps of a patent portfolio, such as patenting trends and technology function matrix, are extracted and drawn. The technology trend analysis also investigated the distributions of the relevant patent claims for specific industries.
Large sized engineering assets such as power transformers are critical parts of the power supply ... more Large sized engineering assets such as power transformers are critical parts of the power supply networks. Therefore, focusing on early fault diagnosis to maintain large transformers in good condition is an important operational task to the power companies. In order to manage and fully utilize the big data generated from the large number of transformers, this paper incorporates data warehouse technology to a fault diagnosis system for the entire transformer fleet. The research includes two major parts. First, a data warehouse (DW) is designed for the large assets information management. Then, the DW-based intelligent fault diagnosis system is developed and implemented. The DW stores the complete transformers’ data and then different data cubes are defined according to various applications. The fault diagnosis system for power transformers consists of the condition monitoring module, failure diagnosis module, and intelligent decision supports module. The research methodology and prototype system are verified with real data from a series of 161 kV transformers in operations.
Lecture notes in mechanical engineering, Nov 30, 2014
While the world is increasingly concerned with the utilization of fossil energy and carbon emissi... more While the world is increasingly concerned with the utilization of fossil energy and carbon emission, renewable energies have been promoted by many governments as alternatives worldwide. Currently, many databases provide big energy data such as international crude oil prices, coal prices, etc., but lack systematic analysis. To increase the use of the data, we propose GEIP (Green Energy Information Platform) using data retrieval techniques to develop a knowledge management platform which can integrate inconsistent information and analyze the development of renewable energy industries. GEIP provides an easy-to-use interface as well as a comprehensive query function from multiple data sources. In addition, the proposed platform can also simultaneously consider distinct factors influencing the development trends of renewable energies, when the development of the renewable energy industry is actually determined by multiple related factors. The result demonstrates our system well project to the development trends of wind power and solar PV in several countries.
Manufacturing Science and Engineering, Nov 17, 1996
This research develops a Computer-Aided Scheduling System (CASS) for IC packaging industry. We ad... more This research develops a Computer-Aided Scheduling System (CASS) for IC packaging industry. We adopt the concept and methods of STEP enabling technologies to model and implement the system. The effort aims to achieve integration of engineering applications by standardizing the modeling and the use of product data. This paper uses IDEFO to model the IC packaging scheduling process and, then, EXPRESS language to define the data models. The IC packaging scheduling system is implemented in an integrated environment using the object-oriented language (C++) and the object-oriented database (ObjectStore). The ST-Developer is used as the kernel to interface the application language, the database, and the EXPRESS data models. The architecture of this integrated implementation environment is not only effective for scheduling task but also useful in general applications for product design, analysis and production planning.
Manufacturing Science and Engineering, Nov 17, 1996
In recent years, information has become an important resource for managing the life-cycle activit... more In recent years, information has become an important resource for managing the life-cycle activities of product development. Due to the heterogeneous and distributed nature of product R&D, related product data in electronic forms are often poorly managed even within the product design phase alone. As the result, an international standard for product data exchanges, STEP, is emerged and developed cooperatively by many organizations. This paper describes two main data models using STEP-EXPRESS representation scheme. One model is defined to represent the assembly structure of a product, the other is to describe the process of engineering changes in the design/redesign stage. These two models are essential in conveying the most updated product information for the concurrent engineering practice, particularly for complex product designs. Using the STEP-compatible data modeling technique, the product data integration between product structures and detailed CAD data is achieved without further efforts. Data involved in all product life-cycle activities are captured under the same format without any information loss. Furthermore, the integrated architecture for a heterogeneous design environment is also described that aims to achieve the information communication and sharing among various design systems.
Manufacturing Science and Engineering, Nov 17, 1996
This paper focuses on the data modeling of PCB assembly and its part definition, particularly for... more This paper focuses on the data modeling of PCB assembly and its part definition, particularly for PCB assembly analysis. We first analyze the procedure of PCB assembly. The key processes, namely insertion and soldering, which are often considered critical in PCB assembly, are discussed. Then, the factors considered in assembly analysis are described. The data related to these factors are also depicted. Most importantly, this research develops a STEP-compatible data model to define data formats for assembly analysis, mainly PCB assembly data and component data. Implementation structure of the database using the defined data model is discussed. Finally, a PCB assembly example is used to describe the data model at work. This research provides a PCB data model, which is consistent with other STEP-based and STEP-compatible data models and can achieve the product data integration for concurrent engineering practice.
Advances in transdisciplinary engineering, Sep 25, 2020
A registered trademark distinctively identifies a company, its products or services. A trademark ... more A registered trademark distinctively identifies a company, its products or services. A trademark (TM) is a type of intellectual property (IP) which is protected by the laws in the country where the trademark is officially registered. TM owners may take legal action when their IP rights are infringed upon. TM legal cases have grown in pace with the increasing number of TMs registered globally. In this paper, an intelligent recommender system automatically identifies similar TM case precedents for any given target case to support IP legal research. This study constructs the semantic network representing the TM legal scope and terminologies. A system is built to identify similar cases based on the machine-readable, framebased knowledge representations of the judgments/documents. In this research, 4,835 US TM legal cases litigated in the US district and federal courts are collected as the experimental dataset. The computer-assisted system is constructed to extract critical features based on the ontology schema. The recommender will identify similar prior cases according to the values of their features embedded in these legal documents which include the case facts, issues under disputes, judgment holdings, and applicable rules and laws. Term frequency-inverse document frequency is used for text mining to discover the critical features of the litigated cases. Soft clustering algorithm, e.g., Latent Dirichlet Allocation, is applied to generate topics and the cases belonging to these topics. Thus, similar cases under each topic are identified for references. Through the analysis of the similarity between the cases based on the TM legal semantic analysis, the intelligent recommender provides precedents to support TM legal action and strategic planning.
Natural language processing (NLP) is an indispensable part of advancing the AI era, especially in... more Natural language processing (NLP) is an indispensable part of advancing the AI era, especially in the realm of the human-computer interface/interaction (HCI) for all state-of-the-art software applications. NLP enables interfaces between machines and humans allowing machines/computers/systems to understand human languages and engaging in dialogues. An intelligent chatbot development must incorporate NLP technologies to allow the understanding of users’ utterance and responding in understandable sentences in versatile scenarios. This research investigates the emerging technological trend of intelligent chatbot development. The systematic trend analysis is described in the research. First, patents related to intelligent chatbot domain are retrieved using a well-defined search query. The queries are derived from the knowledge ontology, which is extracted using text-mining algorithms - key term frequency analysis, clustering for sub-domain identification, and Latent Dirichlet Allocation ...
Natural language processing (NLP) is a critical part of the digital transformation. NLP enables u... more Natural language processing (NLP) is a critical part of the digital transformation. NLP enables user-friendly interactions between machine and human by making computers understand human languages. Intelligent chatbot is an essential application of NLP to allow understanding of users’ utterance and responding in understandable sentences for specific applications simulating human-to-human conversations and interactions for problem solving or Q&As. This research studies emerging technologies for NLP-enabled intelligent chatbot development using a systematic patent analytic approach. Some intelligent text-mining techniques are applied, including document term frequency analysis for key terminology extractions, clustering method for identifying the subdomains, and Latent Dirichlet Allocation for finding the key topics of patent set. This research utilizes the Derwent Innovation database as the main source for global intelligent chatbot patent retrievals.
Many factors such as process planning and fixture design contribute to the machining quality of p... more Many factors such as process planning and fixture design contribute to the machining quality of products. Based on the determined operating sequences and the corresponding cutting path and force distribution, fixture design and analysis are proceeded. Further, the result of fixture design and analysis can provide additional information or constraints to be fed-back to the process planning so that the process can be further improved. In this paper, fixture planning of a truck differential carrier is taken as a case study to illustrate how the fixture design and process planning act interactively. By finite element analysis and loading-strain experiments, we explore the effects of fixture system and the dimensional variation of workparts on machining accuracy. The deformation effects of fixturing force are analyzed so that the process planning can be modified for more accurate machining. Moreover, in fixture hardware design, the functional behavior of fixture is verified to ensure the functional requirements are satisfied. Combining the computer-aided engineering (CAE) with experimental verification, this paper presents a systematic approach of fixture design to ensure the workholding accuracy and reliability.
The emergence of additive manufacturing (AM) technology gradually replaces traditional manufactur... more The emergence of additive manufacturing (AM) technology gradually replaces traditional manufacturing processes that use material cutting and removal techniques. The innovative technology of AM will bring major changes to the supply chain networks and the models of manufacturing services. Considering material jetting (MJ) as one of the additive manufacturing core process technique with wide applications, this research utilizes patent technology-function matrix and the theory of solution of inventive problems (TRIZ)-based trajectories to explore MJ research and development niches and opportunities. The analytical results of the TRIZ-based technology-function matrix shows that the ＂jetting technique＂ is the most major technology and most MJ patents are related to TRIZ parameters No. 29 ＂Accuracy of manufacturing＂ and No. 32 ＂Manufacturability.＂ In order to solve the contradiction problems simultaneously between the improving parameters ＂No. 9 Speed＂, ＂No.38 Level of automation＂ and the corresponding worsening parameter No.29 ＂Accuracy of manufacturing＂, ＂No. 28. Replacement of a mechanical system＂ and other seven innovative principles can be applied in developing printing heads technique. The analytical results of patent technology portfolios and the transformation of TRIZ parameters help discover critical strategies and directions for MJ researchers and solution providers.
Natural language processing (NLP) is an indispensable part of advancing the AI era, especially in... more Natural language processing (NLP) is an indispensable part of advancing the AI era, especially in the realm of the human-computer interface/interaction (HCI) for all state-of-the-art software applications. NLP enables interfaces between machines and humans allowing machines/computers/systems to understand human languages and engaging in dialogues. An intelligent chatbot development must incorporate NLP technologies to allow the understanding of users' utterance and responding in understandable sentences in versatile scenarios. This research investigates the emerging technological trend of intelligent chatbot development. The systematic trend analysis is described in the research. First, patents related to intelligent chatbot domain are retrieved using a well-defined search query. The queries are derived from the knowledge ontology, which is extracted using textmining algorithms-key term frequency analysis, clustering for sub-domain identification, and Latent Dirichlet Allocation (LDA) for topic modelling. Afterwards, the management and technology maps of a patent portfolio, such as patenting trends and technology function matrix, are extracted and drawn. The technology trend analysis also investigated the distributions of the relevant patent claims for specific industries.
Large sized engineering assets such as power transformers are critical parts of the power supply ... more Large sized engineering assets such as power transformers are critical parts of the power supply networks. Therefore, focusing on early fault diagnosis to maintain large transformers in good condition is an important operational task to the power companies. In order to manage and fully utilize the big data generated from the large number of transformers, this paper incorporates data warehouse technology to a fault diagnosis system for the entire transformer fleet. The research includes two major parts. First, a data warehouse (DW) is designed for the large assets information management. Then, the DW-based intelligent fault diagnosis system is developed and implemented. The DW stores the complete transformers’ data and then different data cubes are defined according to various applications. The fault diagnosis system for power transformers consists of the condition monitoring module, failure diagnosis module, and intelligent decision supports module. The research methodology and prototype system are verified with real data from a series of 161 kV transformers in operations.
Lecture notes in mechanical engineering, Nov 30, 2014
While the world is increasingly concerned with the utilization of fossil energy and carbon emissi... more While the world is increasingly concerned with the utilization of fossil energy and carbon emission, renewable energies have been promoted by many governments as alternatives worldwide. Currently, many databases provide big energy data such as international crude oil prices, coal prices, etc., but lack systematic analysis. To increase the use of the data, we propose GEIP (Green Energy Information Platform) using data retrieval techniques to develop a knowledge management platform which can integrate inconsistent information and analyze the development of renewable energy industries. GEIP provides an easy-to-use interface as well as a comprehensive query function from multiple data sources. In addition, the proposed platform can also simultaneously consider distinct factors influencing the development trends of renewable energies, when the development of the renewable energy industry is actually determined by multiple related factors. The result demonstrates our system well project to the development trends of wind power and solar PV in several countries.
Manufacturing Science and Engineering, Nov 17, 1996
This research develops a Computer-Aided Scheduling System (CASS) for IC packaging industry. We ad... more This research develops a Computer-Aided Scheduling System (CASS) for IC packaging industry. We adopt the concept and methods of STEP enabling technologies to model and implement the system. The effort aims to achieve integration of engineering applications by standardizing the modeling and the use of product data. This paper uses IDEFO to model the IC packaging scheduling process and, then, EXPRESS language to define the data models. The IC packaging scheduling system is implemented in an integrated environment using the object-oriented language (C++) and the object-oriented database (ObjectStore). The ST-Developer is used as the kernel to interface the application language, the database, and the EXPRESS data models. The architecture of this integrated implementation environment is not only effective for scheduling task but also useful in general applications for product design, analysis and production planning.
Manufacturing Science and Engineering, Nov 17, 1996
In recent years, information has become an important resource for managing the life-cycle activit... more In recent years, information has become an important resource for managing the life-cycle activities of product development. Due to the heterogeneous and distributed nature of product R&D, related product data in electronic forms are often poorly managed even within the product design phase alone. As the result, an international standard for product data exchanges, STEP, is emerged and developed cooperatively by many organizations. This paper describes two main data models using STEP-EXPRESS representation scheme. One model is defined to represent the assembly structure of a product, the other is to describe the process of engineering changes in the design/redesign stage. These two models are essential in conveying the most updated product information for the concurrent engineering practice, particularly for complex product designs. Using the STEP-compatible data modeling technique, the product data integration between product structures and detailed CAD data is achieved without further efforts. Data involved in all product life-cycle activities are captured under the same format without any information loss. Furthermore, the integrated architecture for a heterogeneous design environment is also described that aims to achieve the information communication and sharing among various design systems.
Manufacturing Science and Engineering, Nov 17, 1996
This paper focuses on the data modeling of PCB assembly and its part definition, particularly for... more This paper focuses on the data modeling of PCB assembly and its part definition, particularly for PCB assembly analysis. We first analyze the procedure of PCB assembly. The key processes, namely insertion and soldering, which are often considered critical in PCB assembly, are discussed. Then, the factors considered in assembly analysis are described. The data related to these factors are also depicted. Most importantly, this research develops a STEP-compatible data model to define data formats for assembly analysis, mainly PCB assembly data and component data. Implementation structure of the database using the defined data model is discussed. Finally, a PCB assembly example is used to describe the data model at work. This research provides a PCB data model, which is consistent with other STEP-based and STEP-compatible data models and can achieve the product data integration for concurrent engineering practice.
Advances in transdisciplinary engineering, Sep 25, 2020
A registered trademark distinctively identifies a company, its products or services. A trademark ... more A registered trademark distinctively identifies a company, its products or services. A trademark (TM) is a type of intellectual property (IP) which is protected by the laws in the country where the trademark is officially registered. TM owners may take legal action when their IP rights are infringed upon. TM legal cases have grown in pace with the increasing number of TMs registered globally. In this paper, an intelligent recommender system automatically identifies similar TM case precedents for any given target case to support IP legal research. This study constructs the semantic network representing the TM legal scope and terminologies. A system is built to identify similar cases based on the machine-readable, framebased knowledge representations of the judgments/documents. In this research, 4,835 US TM legal cases litigated in the US district and federal courts are collected as the experimental dataset. The computer-assisted system is constructed to extract critical features based on the ontology schema. The recommender will identify similar prior cases according to the values of their features embedded in these legal documents which include the case facts, issues under disputes, judgment holdings, and applicable rules and laws. Term frequency-inverse document frequency is used for text mining to discover the critical features of the litigated cases. Soft clustering algorithm, e.g., Latent Dirichlet Allocation, is applied to generate topics and the cases belonging to these topics. Thus, similar cases under each topic are identified for references. Through the analysis of the similarity between the cases based on the TM legal semantic analysis, the intelligent recommender provides precedents to support TM legal action and strategic planning.
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