This document discusses the concept of "dividual" or "fragmented person" and proposes a "dividual-type society". It explains that in anthropology, a dividual refers to a person composed of multiple, overlapping relationships and identities, rather than a single, fixed individual. It also discusses how philosophers like Deleuze have analyzed modern society as fragmenting people into dividuals through constant monitoring and data collection. The document argues that a dividual-type society is one where relationships and connections between people are prioritized over ideas of single, independent individuals. It proposes that understanding people as dividuals composed of multiple aspects could make society more inclusive and flexible.
This document discusses the concept of "dividual" or "fragmented person" and proposes a "dividual-type society". It explains that in anthropology, a dividual refers to a person composed of multiple, overlapping relationships and identities, rather than a single, fixed individual. It also discusses how philosophers like Deleuze have analyzed modern society as fragmenting people into dividuals through constant monitoring and data collection. The document argues that a dividual-type society is one where relationships and connections between people are prioritized over ideas of single, independent individuals. It proposes that understanding people as dividuals composed of multiple aspects could make society more inclusive and flexible.
◎ 스타트업 BEST Q&A
1. 스타트업이 궁금해하는 10가지 질문에 대한 궁금증을 풀어준다.
- Page : 56P
- 강의대상 : 스타트업을 준비하는 예비창업자, 스타트업 창업자
- 강의시간 : 2시간
◎ 강의 주요내용
1. 스타트업 동업은 과연 독일까?
2. 스타트업에 프로그래머는 필수인가?
3. 스타트업 초기 채용해야 할까?
4. MVP를 개발하는 최적의 방법은?
5. 소비자의 지갑을 여는 제품은?
6. 개인사업자? 법인사업자?
7. 스타트업에 적합한 해고방안은?
8. 정책 자금 성공 전략은?
9. 스타트업의 투자 유치 단계는?
10. 정책 자금 브로커는 누구?
고명환의 스타트업 생존경영 http://www.lunch-alone.com
◎ 투자자를 사로잡는 IR
1. 스타트업 투자자
2. IR Deck 작성법
- IR Deck 스타일
- IR Deck 구성
- IR Deck 작성 전 체크리스트
- IR Deck 목차
- page : 27P
- 강의대상 : 투자를 준비 중인 예비창업자 및 창업자, IR 작성에 어려움을 겪고 있는 자, 데모데이 준비 중인 자
- 강의시간 : 1시간
고명환의 스타트업 생존경영 : http://www.lunch-alone.com
고명환의 카카오브런치 : https://brunch.co.kr/@maru7091
고명환의 스타트업 팟캐스트 : http://www.podbbang.com/ch/17003
This document discusses the possibilities of Pixie Dust technologies, including generating computational acoustic fields through phased array transducers to create non-contact haptic feedback, directional speakers, and applications in pollination, vehicles, traffic signals, guide dogs, and spacecraft. It presents the prototype design of an acoustic field generator and results from deploying their research into society. The long term vision is to calculate and generate potential fields to create magical experiences beyond just motion pictures.
This document discusses the background and market for online education services in Korea. It notes that the size of Korea's online education market has been growing yearly from 1.7 trillion won in 2007 to an estimated 2.6 trillion won in 2012. The increasing demand is likely driven by factors such as the growth of internet usage and preferences for flexible online learning.
This document discusses construction startups and open source technology. It covers topics like Industry 4.0 with open source, open source movements, open source service markets, open source licenses, autonomous vehicles, deep learning, IoT, drones, 3D printing, cloud platforms, smart cities, BIM, VR/AR, robotics, blockchains, open data, and construction startups using open source technologies. The document provides references on these topics as well.
◎ 스타트업 BEST Q&A
1. 스타트업이 궁금해하는 10가지 질문에 대한 궁금증을 풀어준다.
- Page : 56P
- 강의대상 : 스타트업을 준비하는 예비창업자, 스타트업 창업자
- 강의시간 : 2시간
◎ 강의 주요내용
1. 스타트업 동업은 과연 독일까?
2. 스타트업에 프로그래머는 필수인가?
3. 스타트업 초기 채용해야 할까?
4. MVP를 개발하는 최적의 방법은?
5. 소비자의 지갑을 여는 제품은?
6. 개인사업자? 법인사업자?
7. 스타트업에 적합한 해고방안은?
8. 정책 자금 성공 전략은?
9. 스타트업의 투자 유치 단계는?
10. 정책 자금 브로커는 누구?
고명환의 스타트업 생존경영 http://www.lunch-alone.com
◎ 투자자를 사로잡는 IR
1. 스타트업 투자자
2. IR Deck 작성법
- IR Deck 스타일
- IR Deck 구성
- IR Deck 작성 전 체크리스트
- IR Deck 목차
- page : 27P
- 강의대상 : 투자를 준비 중인 예비창업자 및 창업자, IR 작성에 어려움을 겪고 있는 자, 데모데이 준비 중인 자
- 강의시간 : 1시간
고명환의 스타트업 생존경영 : http://www.lunch-alone.com
고명환의 카카오브런치 : https://brunch.co.kr/@maru7091
고명환의 스타트업 팟캐스트 : http://www.podbbang.com/ch/17003
This document discusses the possibilities of Pixie Dust technologies, including generating computational acoustic fields through phased array transducers to create non-contact haptic feedback, directional speakers, and applications in pollination, vehicles, traffic signals, guide dogs, and spacecraft. It presents the prototype design of an acoustic field generator and results from deploying their research into society. The long term vision is to calculate and generate potential fields to create magical experiences beyond just motion pictures.
This document discusses the background and market for online education services in Korea. It notes that the size of Korea's online education market has been growing yearly from 1.7 trillion won in 2007 to an estimated 2.6 trillion won in 2012. The increasing demand is likely driven by factors such as the growth of internet usage and preferences for flexible online learning.
This document discusses construction startups and open source technology. It covers topics like Industry 4.0 with open source, open source movements, open source service markets, open source licenses, autonomous vehicles, deep learning, IoT, drones, 3D printing, cloud platforms, smart cities, BIM, VR/AR, robotics, blockchains, open data, and construction startups using open source technologies. The document provides references on these topics as well.
Three mustketeers-swcs-2014-autoidlab-kaist-daeyoungkimDaeyoung Kim
The document discusses Internet of Things (IoT) technologies including definitions, market predictions, and examples of IoT applications. It outlines research areas like identification systems, operating systems, networking, middleware, cloud computing, and big data in the context of IoT. The document also summarizes IoT standardization efforts and the research activities on IoT at KAIST, including work on identification, IP-WSN, and mobility management protocols.
This document summarizes recent trends in the spatial information field and their implications. It discusses the convergence of ICT and spatial IT, the evolution of location technology towards real-time dynamic mapping of both indoor and outdoor spaces, and the rise of digital twins, big data, AI and IoT. It also introduces mago3D as a platform that can visualize massive 3D models and seamlessly integrate BIM and 3D GIS for applications like facility management, cultural heritage preservation and live drone mapping.
이 슬라이드는 4차산업혁명과 건설, 그리고 블록체인에 대한 내용입니다. 건설 관점에서 이런 기술들이 어떻게 서로 엮이고, 새로운 가치를 만들어내는 지를 확인해 봅니다. 블록체인은 스마트 계약의 기반이되며, 다양한 서비스 토큰을 통해, 스마트 건설의 부가가치를 담아 이해당사자들 사이를 전달할 것입니다.
건설 관점에서 블록체인을 이용하기 위해, 블록체인의 기본 개념부터 스마트계약, 토큰 및 ICO를 개발하는 방법을 설명합니다. 아울러, 비트코인과 같은 블록체인의 실행 메커니즘을 구체적으로 다루고 있습니다. 이 자료에 포함된 링크를 통해 좀더 상세한 내용을 확인할 수 있습니다.
I gave this talk at the 'Digital Twin Conference' hosted by LH Corp at COEX, Seoul on August 8th, 2019.
Abstract: 'Digital Twin' is a digital replication of real world objects, processes, phenomena that can be used for various purposes. Digital twin concept backs to manufacturing industry in early 2000s for the PLM (Product Lifecycle Management) purposes. It is based on the idea that a digital informational construct about a physical system could be created as an entity on its own. Definitions of digital twin emphasize the three important levels or characteristics. At first, there should be connection between real physical world and corresponding virtual world. To do this, Level 1 digital twin provides virtual 3D models. Secondly, this connection between real world and virtual world is established by generating (near) real time data using sensors or IoT. This is called Level 2 digital twin. Thirdly, Level 3 digital twin carries out certain analyses, predictions, and simulations using virtual 3D and (near) real time data. ‘Smart Spaces’ are interactive environments where humans and technology can openly communicate with each other in a physical or digital setting. Examples of smart spaces include smart cities, smart factories, and smart homes. ‘Smart Spaces’ is one of Garner’s Top 10 Tech Trends for 2019. As spaces are going through digital transformation with 4th industrial revolution, there are many attempts to apply digital twin technology to manage urban, spatial, and industrial issues around the world. Those attempts look set to play an increasingly important role in the creation of smart cities, smart factories, and smart homes. Bringing the virtual and real worlds together in this way can help to give better analysis, visualization, and simulation to the decision-making process. This will be a multi-way process with iterative feedback among stakeholders.
In this talk, I'll share my real experiences in carrying out digital twin and smart space projects. Also I’ll talk about what I’ve learnt from these projects.
1. The document describes a proposed object detection bot that uses a Raspberry Pi, camera modules, and cloud services from AWS to accurately detect objects like plastic bottles, metal cans, and abandoned baggage.
2. The system uses a hybrid approach with both edge computing on the Raspberry Pi using SSD object detection models, as well as AWS cloud services for storage, analytics, and notifications. Video feeds are ingested into AWS Kinesis and objects detected on the edge are sent to AWS SNS for notifications.
3. An evaluation showed the system could reliably detect objects and send notifications within seconds, demonstrating the feasibility of combining local edge computing and cloud services for object detection on resource-constrained devices.
What we've done so far with mago3D, an open source based 'Digital Twin' platf...SANGHEE SHIN
mago3D = {Indoor, Outdoor} + {Overground, Underground} + {Objects, Phenomena} + {Static, Dynamic}
It would be awesome if you can have a virtual replica of real world that you can play with and do the simulation to see what would happen. That is 'Digital Twin', the ultimate goal of mago3D!
At the FOSS4G NA 2019, I talked about the recent achievements and improvements of mago3D project, an open source based 'Digital Twin' platform. mago3D(http://mago3d.com) is relatively new project that was first released in July 2017. The ultimate goal of mago3D project is developing an open source based digital twin platform that can replicate and simulate the real world objects, processes, and phenomena on web environment. mago3D is on its way to achieve this goal now. Currently mago3D more focuses on managing and visualization of various types of 3D data ranging from simple box style extrusion model, point clouds, realistic mesh, to complex BIM(Building Information Modeling), AEC(Architecture, Engineering, Construction) data. mago3D supports industry standards 3D formats such as IFC, CityGML, IndoorGML, 3DS, Collada DAE, OBJ, LAS, JT, and so on. mago3D has been used in various industry sectors including ship building, urban management, indoor data management, and national defense. In this talk I showcased several real projects that had employed the mago3D and talked about what I'd learned during this projects. I also talked more about the future plan of mago3D towards visualizing/simulating of {static and dynamic data}, {underground and overground features}, {indoor and outdoor spaces}, {objects and phenomena} at the same time on web browser.
As a tech-savvy country, there're lots of discussions and activities around digital twin in Korea. I also shared my real experiences on this in this talk.
This document provides an introduction to an "Introduction to IoT" course being taught in spring 2022. It outlines the instructor's details, grading breakdown, reference material, research areas, and course outline. The outline includes topics like the history of IoT, definitions of IoT, applications, challenges, and a case study on IoT in connected vehicles. The document also describes an IoT living lab setup at IIIT Hyderabad including sensor nodes for monitoring air quality, weather, energy use, crowds, and more.
Introduction to mago3D, an Open Source Based Digital Twin PlatformSANGHEE SHIN
This talk was given at the Busan Eco Delta City(Korea National Pilot Smart City) technical workshop held on 18th July. I talked about introduction and history of mago3D, some core technologies, real cases, and lessons learnt in this workshop.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)ijccsa
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)IJCNCJournal
The 2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will be held June 26-27, 2021 in Sydney, Australia. The conference aims to facilitate the exchange of innovative ideas and research on cloud computing, big data, and IoT. Authors are invited to submit papers by December 19, 2020 on topics related to cloud platforms, big data techniques and applications, and IoT security and services. Selected papers will be published in the conference proceedings and considered for publication in related journals.
What does BIM mean for Civil Engineers?Chun Keung Ng
BIM is a norm for the building industry. How about for infrastructures? Some countries are over confident on the implementation of BIM in both building and civil engineering industries. Is the BIM technology for infrastructures mature and easily available? Are the professionals ready for BIM?
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)ijdms
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research
projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
2 nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)ijwscjournal
2
nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a
major forum for the presentation of innovative ideas, approaches, developments, and research
projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange
of information between researchers and industry professionals to discuss the latest issues and
advancement in the area of Cloud, Big Data and IoT.
Call for Paper - 2nd International Conference on Cloud, Big Data and IoT (CBI...ijgca
The 2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will be held on June 26-27, 2021 in Sydney, Australia. The conference aims to facilitate the exchange of information between researchers and industry professionals on topics related to cloud computing, big data, and IoT. Authors are invited to submit papers by November 21, 2020 on research results, projects, case studies, and industrial experiences within areas of cloud, big data, and IoT. Selected papers will be published in relevant journals. Important dates include the submission deadline of November 21, 2020 and notification of acceptance by December 26, 2020.
Call for Paper - 2nd International Conference on Cloud, Big Data and IoT (CBI...ijwmn
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
This document provides an introduction to smart buildings and the role of IoT devices. It defines smart buildings as structures that use automated processes and data to evaluate their state and control operations. Key points include:
- Smart buildings optimize energy use and improve comfort through connected IoT sensors, actuators, and other devices.
- Building management systems integrate these IoT components to monitor and control building functions like HVAC, lighting, and security.
- Examples of smart building applications using IoT include automated light and energy management that respond to occupancy.
- The growth of IoT is enabling more advanced building automation through remote management, data access, and efficiency improvements.
오픈소스로 쉽게 따라해보는 Unreal과 IoT 연계 및 개발 방법 소개.pdfTae wook kang
이 소품은 메타버스 구현이란 제목으로 출판하려했던 내용 중 일부입니다. 2021년에 시작했었는 데, 함께 하기로 한 분들이 너무 바쁜 상황이라, 거의 2년 이상 묵혀둔 내용이 되어 버렸습니다.
이 내용을 필요한 분들도 있을 듯하여 eBook으로 정리해 공유합니다. 일부 URL은 너무 오래되어, 최대한 확인해 갱신하였습니다. 이 책은 메타버스나 디지털트윈을 언리얼과 같은 게임엔진으로 개발할 때, IoT와 어떻게 연결해야 하는 지에 대한 기본적인 방법을 다루고 있습니다. 이런 목적에서 내용은 복잡한 부분은 최대한 제거하고, 목적에만 충실히 구현하였습니다.
참고로, 여기에 사용된 언리얼 버전은 Unreal 4입니다(설치 링크 - https://unreal-engine.en.uptodown.com/windows). 그럼에도 이 글에서 사용된 기술은 계속 유지관리되고 있으니 활용 가능하시리라 생각합니다.
언리얼 게임엔진 기반 외부 센서 연결 및 데이터 교환 방법
아두이노 사용방법
간단한 Node.js 서버 개발
IoT 기반 디지털 트윈 및 메타버스 구현
오픈소스 및 하드웨어 사용법
사례 소개
이 소품에 설명된 코드는 아래 링크에서 다운로드 받을 수 있습니다.
링크 - https://github.com/mac999/UnrealSensingCube
몇몇 개발 화면 캡쳐 이미지 화질이 나쁘나 소스를 참고해 보시면 도움이 되실 겁니다.
The document provides instructions on setting up development environments for data analysis and visualization with Python and Node.js. It discusses installing essential packages like NumPy, SciPy, and Pandas for Python, and Express and Three.js for Node.js. It also provides examples of basic data analysis and visualization techniques using Matplotlib and Plotly in Python, and Three.js in a Node.js application.
이 책은 BIM 표준과 구현이란 제목으로 출판하려했던 내용 중 일부입니다. 2013 년에 시작했었는 데, 함께 하기로 한 분들이 너무 바쁜 상황이라, 거의 8 년 이상 묵혀둔 내용이 되어 버렸습니다.
지금은 미국에서 책을 정리할 시간적 여유도 약간 생겼고, 이 내용을 필요한 분들도 있을 듯하여 eBook으로 정리해 공유합니다. 일부 URL은 너무 오래되어, 최대한 확인해 갱신하였습니다. 이 책의 내용은 제가 예전에 관심을 두고 직접 연구 및 개발했던 부분입니다.
이 책은 BIM 개발과 관련된 아래 내용을 주로 다루고 있으니 참고하시길 바랍니다. 아직도 이 글에서 사용된 기술은 계속 유지관리되고 있으니 활용 가능하시리라 생각합니다.
개방형 BIM 모델에 대한 구조 해석
오픈소스 이용하는 방법
BIM 정보추출, 협업, 가시화 개발 절차 및 방법
BIM 지식 서비스 개발
This document proposes a conceptual framework for the ISO 19166 B2GM standard, which defines a conceptual mapping process between building information models (BIM) and geospatial information models (GIS). The framework focuses on defining mapping requirements through three parts: element mapping, level-of-detail mapping, and perspective definition. It is intended to standardize the conceptual mapping process in a use-case driven manner without requiring full physical data integration. The framework is designed to reuse concepts from existing BIM, GIS, and related standards to avoid reinventing concepts.
SBF(Scan-BIM-Field) 기반 스마트 시설물 관리 기술 개발Tae wook kang
This document discusses a SBF (Scan-BIM-Field) technology for effective facility management of infrastructure. SBF integrates 3D scanning, building information modeling (BIM), and field data from sensors to create a digital twin for infrastructure facilities. The document presents a maturity model for facility management with five levels from manual to smart/intelligent FM. It analyzes barriers and strategies to advance SBF technology, including developing standards, technologies for digital transformation and linking scan data, BIM, and Internet of Things field data.
The document discusses future technologies for the Korean construction industry, including smart construction, digital transformation, automation, and facility management technologies enabled by BIM, IoT, AI, and other technologies. It outlines issues facing the construction industry and proposes strategies and a roadmap to address these issues through increased digitalization, development of core technologies like AICBM, support for startups, establishing standards and platforms, and developing policies to support an ecosystem for construction technology.
인공지능 기반 미디어아트 최신 기술, 동향 및 사례를 공유합니다. 특히, 딥러닝을 이용한 예술과 관련된 기술을 확인하고, 관련 작품들을 살펴보겠습니다. 이 세미나는 한전아트센터에서 진행하는 2019년 오픈 미디어아트 전시 세미나(2월 10일 오후 2시)의 하나로 기획되었습니다.
전시 링크 - https://vmspace.com/news/news_view.html?base_seq=NDM5
ISO 19166 BIM to GIS conceptual mapping China (WUHAN) meetingTae wook kang
This document discusses the development of ISO 19166, which provides a conceptual mapping standard for linking building information models (BIM) to geospatial information models. It proposes a conceptual framework that defines requirements for BIM to geospatial (B2GM) element mapping, level of detail (LOD) mapping, and perspective definition to extract necessary data based on use cases. The framework is driven by use cases and produces ruleset definitions and mapping scenarios without requiring a fully integrated physical data model. Comments on the committee draft raise issues regarding dependencies on CityGML LODs and consideration of bi-directional mapping.
이 글은 블록체인과 건설 분야 유스케이스에 대해 간략히 요약한 자료입니다. 기존 4차 산업혁명과 건설의 관계에 대한 발표 내용을 바탕으로 블록체인 부분만 요약하였습니다.
블록체인 개념, 주요 구성요소, 암호화, 해쉬, 건설 분야 적용 사례 등을 언급하고 있습니다. 스마트시티, BIM, COBie, IoT 등 서비스 토큰, 스마트 건설 계약 및 컨텐츠 형상 무결성 보장 등에 적용 시도되고 있는 상황입니다. 다만, 아직 정책적 기술적인 안전성은 아직 이슈가 있습니다.
Case Study about BIM on GIS platform development project with the standard modelTae wook kang
To realize BIM on GIS technology for productivity of AEC industry, we should have some questions like these.
Questions
• What is the benefit from the fusion
between BIM and GIS as the viewpoint of
the public sector
• What do we should do first?
• What is the barrier to realize it?
• How to develop it?
Research and try to
• find the useful use-cases
• define the technology and the organization
including people etc
• survey the issues and define the considerations
• collaborate and research it with the institutes and
the industries
- 2013.5
도시 인프라 공간정보 데이터 커넥션-통합 기술 표준화를 위한 ISO TC211 19166 개발 이야기 Tae wook kang
The document discusses the development of a conceptual mapping standard (ISO/TC211 19166) for linking building information models (BIM) to geospatial information models (GIS). It proposes a framework with three parts: (1) BIM to GIS element mapping, (2) BIM to GIS perspective definition, and (3) BIM to GIS LOD mapping. The framework is driven by use cases and allows standardized rule sets to integrate BIM and GIS data. The standard focuses on requirement definition and reuses existing physical data models like IFC and CityGML.
메이커 시티가 무엇인지, 어떤 배경에서 진행되고 있는 지에 대해 설명합니다. 메이커 시티의 바탕이 되는 메이커 운동 참여를 통한 경험을 나눔하고, 이를 통해, 국내 메이커 생태계가 발전하려면 어떤 문제를 해결해야 할 지를 질문합니다. 마지막으로 메이커가 되는 작은 방법을 나눔합니다.
The document discusses 3D image scan-based reverse engineering and its applications in construction. It provides an overview of trends in 3D scanning technologies, the reverse engineering process from 3D point clouds to BIM, potential benefits and case studies. It also considers factors like precision, density and the automation potential of integrating machine learning for more intelligent and real-time 3D scanning. The research aims to develop methods for automated extraction of construction objects from point clouds to generate infrastructure and building models.
This document discusses BIM-GIS integration standards and technologies. It provides an overview of a BIM-GIS integration project conducted from 2013-2016 that developed integrated operation technologies based on a BIM/GIS interoperability platform. The project developed applications, an interoperability platform, standard file formats, and conducted various validations and improvements. It discusses key issues in mapping between BIM and GIS standards and provides examples of element and LOD mapping approaches defined in ISO 19166.
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
1. IoT 기반 건설 지능화와 BIM
AEC-IoT and Intelligent BIM
Korea Institute of Civil engineering and building Technology
강태욱
laputa99999@gmail.com
sites.google.com/site/bimprinciple
This research was supported by a grand from “A development of the
BEMS connection module for new & renewable energy facilities and
BIM” Program funded by Ministry of Land, Infrastructure and
Transport of Korean government
6. AEC-IoT Maturity Model
Legacy
Silo AEC-
IoT
Connected
AEC-IoT
Managed
AEC-IoT
Optimized
AEC-IoT
AEC-USN
AEC-SI system
Isolated Beacon
Isolated M2M
Isolated
RFID/NFC
Application
Cloud Platform
MQTT
IFTTT
ThingSpeak
ETL, Data Bus
Amazon IoT
FIWARE
CitySDK
Measured
Data Analysis
Data Mining / AI
Machine Learning
Dashboard
DSS
Smart Construction
Prediction
AEC Program
Alternative Analysis
ML-based LCCA
Current
(Korea)
Maturity Level
Time
7. AEC-IoT benefit
안전 / 유지보수
시공성 / 에너지환경
위험 / 비용
시간 / 자원 낭비
IoT
AEC
Sensor, Internet, Cloud
platform, Big data, AI
Infra, Building, Safety,
Equipment, Asset, Mobility,
Healthcare, Environment
Smart home,
building, city, grid
Benefit
Context
Use-cases
Field data visibility-analysis-control
8. Key question
구현할 유스케이스(Use case) 시나리오와 KPI(Key Performance Indicator)는?
유스케이스 구현에 필요한 정보와 데이터는?
유스케이스 구현에 필요한 데이터 소스 위치 및 사물은?
필요한 IoT 기술 요소와 조합은?
시나리오 구현 시 장애 요인은?
센서, 데이터, 네트워크, 서비스, 정보 보안과 신뢰성 확보 방안은?
Wikimedia Commons
RoI는?
9. AEC-IoT scenario – smart energy
BIM
Big data
Processing Data
Mining / Analysis
Smart city
Dashboard
IoT Big Data processing considering reliability
KPI matrix data ming / analysis
IoT / BAS nodes
Energy Operation
Effectiveness Maximization
KPI management using dashboard
f(x)
bxayxf :)(
Association
analysis
Basic statistics
analysis
Prediction
Analysis
…
Effective decision making support
In the future, when energy
consumption will be over the criteria?
Expected energy usage in next year?
10. Simple IoT study – Smart Home
Packing
Wireless
Sensor
Gateway
IoT
Control
Big data
analysis
Protocol
IoT
connection
service
http://daddynkidsmakers.blogspot.kr/
A BIM ANALYSIS OF HVAC AND RADIANT COOLING SOLUTIONS, ROBERT CUBICK, 2016
11. Simple IoT study – Smart Home
Packing
Wireless
Sensor
Gateway
IoT
Control
Big data
analysis
Protocol
IoT
connection
service
http://daddynkidsmakers.blogspot.kr/
A BIM ANALYSIS OF HVAC AND RADIANT COOLING SOLUTIONS, ROBERT CUBICK, 2016
18. IoT-BIM connection
IFC
W1
D2
F3
R4
CityGML
W1
= {LOD1, LOD2, LOD3, LOD4}
D2
= {LOD1, LOD2, LOD3, LOD4}
F3
= {LOD1, LOD2, LOD3, LOD4}
R4
= {LOD1, LOD2, LOD3, LOD4}
B2G LM
B2G EM
IoT
+External
Data Set
• In example, W1 = Wall#1, D2 = Door#2, F3 = Floor#3, R4 = Roof#4.
• External Data Set – External data set related to the specific use-cases such as the facility
management
E1
E2
E3
E4
B2G PDElement Mapping
LOD Mapping
Property Mapping
from External Data
Set using PD
B2GM Data Mapping Flow
Data
= {Maker,
Code, Serial
No, Date,
Manual Links,
Drawing
Links,
Historical
Record…}
Object =
Geometry + Data
1
2
3
19. IoT-BIM connection
Facility
Story
Classification Code
Object name
Object GUID
Manager
Space No
Manager
Space No
Space area
Date
Space area
Space perimeter
Space volume
Space height
Floor maintenance =
{Floor finish, Partial repair, Repair rate, Date}
Wall maintenance =
{Wall finish, Partial repair, Repair rate, Date}
Ceiling maintenance =
{Ceiling finish, Partial repair, Repair rate, Date}
Facility
Story
Classification Code
Object name
Floor maintenance =
{Floor finish, Partial repair, Repair rate,
Date}
Wall maintenance =
{Wall finish, Partial repair, Repair rate,
Date}
Ceiling maintenance =
{Ceiling finish, Partial repair, Repair rate,
Date}
Subcontractor
Perspective
PDPD
PD
Facility = B199
Storey = S05
Code = B199.S05
Name = Main research building
Floor finish history =
At 2005.3.2, Tile#024 replacement, 0.5
year
At 2006.7.5, Tile#024 replacement, 0.5
year
At 2006.10.9, Tile#099 replacement, 0.5
The IoT & external
legacy DB
Facility = B199
Storey = S05
Code = B199.S05
Name = Main research
building
Query
the perspective
data & data
mining
View
and Use
the data
Logic
View
Data
View
Style
View
21. Geospatial information modeling – 3D scan & reverse engineering
Tango project (Google)Drone-based 3D scan (한국건설기술연구원)
Trimble
Rover-based 3D scan (한국건설기술연구원)
GPS
카메라
카메라
스캐너
IMU
DMI
Topcon IP-S2 HD 템 스시. 곤 레오 DOT
Input Filter
SegmentationNon-Cylinders
Cylinders
추출된 객체 데이터
제외된 객체 데이터
Autonomous Scan To BIM mapping (S사 기술이전, 한국건설기술연구원)
EdgeWise9(ClearEdge) Autonomous Vechicle(Velodyne LiDAR)
22. GeoIoT-BIM connection
f(x)
bxayxf :)(
SELECT * FROM Alignment, Building WHERE
Buffer(Alignment, Building, ‘1km’) AND
Building.Pset(‘FM’).PCI < ‘50%’
ORDERBY Building.Pset(‘FM’).PCI
BIMGIS
SELECT * FROM Building, Pipe WHERE Overlap(Pipe, Building, ‘1m’)
AND Building.Pset(‘FM’).Owner = ‘LH’ …
Fig. IFC (http://www.iai-tech.org/)
IfcProject – Activity to make product
IfcProcess – Process and activity in project
IfcResource – Used resource object definition in process
IfcActor – Human resource definition in process
IfcProduct – Physical representation object
IfcControl – Control object
IfcGroup – Object set
Kernel
3개기본 확장 패키지
5개AEC/FM공통 패키지
AEC/FM도메인별9개의패키지
26개의 리소스패키지
IFC2x3
Building
Oriented
Format
IFC4
GIS CRS
NURBS
…
but
Heavy
Complex
Ambiguous
•Developed by OGC
•Open 3D urban object model for interoperability(ISO TC211)
•Shape, material, feature information support
•Focusing city Infrastructure object model
•Model abstraction support(LOD)Version 2.0
CityGML
GIS Oriented
Format
LOD
Features
But
Detailed
Building
Information?
Parameter set
Civil engineering
object
Detailed object
information
related to civil
engineering
ex- superelevation
LandXML
Civil
Engineering
Oriented
Format
But
Detailed
Building
Information?
GIS Topology
Element?
GIS BIM
외부
이기종
데이터
External
Dataset
I-DB
도시
시설물
사용자
KPI
(Key
Performanc
e Indicator)
BIM-GIS
연계기술
데이터
분석
IoT nodes
Geospatial BIM External
data object
31. AEC-IoT use cases
Prototyping the boards behind Pointelist and Concept (KieranTimberlake)
Survey of the green roof at the Yale Sculpture Building and
Gallery, designed by Kieran Timberlake
Yale University Sculpture Building and School of
Art Gallery, 2011
36. Conclusion - Change & culture
FOSS4G
BPMN Books and Templates
Wikimedia Hackathon 2013
Attitude
Tools
Open & Share
Process
37. 1. 강태욱, 임지순 역, 2015.2, 스마트 홈 오토메이션, 씨아이알
2. 강태욱, 현소영 역, 2014.12, 스마트 빌딩 시스템, 씨아이알
3. 강태욱, 김호중, 2014.1, BIM기반 건축 협업 디자인, SpaceTime
4. 강태욱, 2011.6, BIM의 원리, SpaceTime
5. Alan Safe, 2016.2.12, How the Internet of Things is Impacting the Construction Industry, For Construction Pros.com
6. Rachel Burger, 2015.7.28, Three Ways the Internet of Things Can Benefit Your Construction Project, Construction
Management
7. Jacqi Levy, 2016.4.28, 4 BIG ways the IoT is impacting design and construction, Internet of Things blog, IBM
8. whitelight group, 2014.8.18, How the Internet of Things is transforming the construction industry
9. Rachel Burger, 2016.8.5, How "The Internet of Things" is Affecting the Construction Industry, the balance.com
10. AIG, Human Condition Safety: Using Sensors to Improve Worker Safety
11. Niina Gromov, 2015.11.23, Offering Value through Internet of Things Case: Construction Companies in Finland, School of
Science, Aalto University
12. Wipro Digital, 2016.4.1, CASE STUDY: INCREASING CUSTOMER VALUE THROUGH IOT FOR JCB INDIA
13. Monitor Deloitte, 2015.7, Every. Thing. Connected.
14. Laura Black, 2015.8.12, An Inside Look at Autodesk’s Project Aquila, ConstructionTech
15. Jeff Walsh, 2015.10.1, Human Condition Aims to Transform Construction-Site Safety With Wearables, Line shape space.com
16. Insights, IoT Logistics Are Transforming the Trucking Industry
17. Chris Topham, 2015.9.10, Case Study: Northumbria Specialist Care Hospital Pushes KNX into the IoT, Abtec Building
Technologies
18. Mike Chino, 2015.11.6, Intel’s Smart Tiny House packs futuristic technology into 264 square feet, inhabitat
19. Wanda Lau, 2016.5.9, KieranTimberlake Offers a New Tool for Architects Wanting an In on IoT
20. CADDIGEST, 2016.7.7, IBM Watson IoT Platform to Add Intelligence to Buildings Worldwide
Reference
This research was supported by a grand from “A development of the
BEMS connection module for new & renewable energy facilities and
BIM” Program funded by Ministry of Land, Infrastructure and
Transport of Korean government
38. BIM Maturity
Survey item Advanced
nation
Korea Difference between advanced
nation and Korea (Max value 10)
Q 7 - Roadmap 7.7 2.0 5.7
Q 8 – maturity level/performance
evaluation tool
5.3 1.0 4.3
Q 9 - information classification
system
7.4 2.4 5.0
Q 10 – Library 6.4 2.6 3.9
Q 11 – Process performing
system
7.0 1.7 5.3
Q 12 – Quality validation system 6.4 1.9 4.6
Survey item Score
Q 4a. Importance of the VDC and the BIM technology for securing competiveness of
Korean construction industry
4.51
Q 4b. Urgency of public support required for proliferation of the BIM technology 4.36
Q 4c. Public support level of the current BIM technology proliferation (lack/sufficiency) 1.89
Tae Wook, Kang, 2015, The development direction for a
VDC support system based on BIM
39. BIM Maturity
Survey item
Actual
outcome
Q 5c. Constructability (rework, design revision, clash detection, etc.) improvement 4.34
Q 5b. Pre-review of feasibility via simulation (4D, 5D, environment, etc.) in the planning
phase
4.19
Q 5d. BIM model information reutilization during maintenance and operation 4.11
Q 5e. Improved communication among interest groups via BIM-based collaboration 4.02
Q 5g. Improved review efficiency of design/information quality in relation to orderer’s
requirements and regulations
3.81
Q 5a. Delivery of design intention via simple 3D model visualization 3.74
Q 5f. Work simplification of deliverables, such as q drawings and reports 3.34
Survey item Actual
outcome
P-value
Q 6a. Delivery of design intention via simple 3D model visualization 3.87 0.000
Q 6c. Constructability (rework, design revision, clash detection, etc.) improvement 3.55 0.001
Q 6b. Pre-review of feasibility via simulation (4D, 5D, environment, etc.) in the planning
phase
3.28 0.129
Q 6e. Improved communication between interest groups via BIM-based collaboration 3.13 0.459
Q 6d. BIM model information reutilization during maintenance and operation 2.77 0.207
Q 6g. Improved review efficiency of design/information quality in relation to orderer’s
requirements and regulations
2.77 0.231
Q 6f. Work simplification of deliverables, such as q drawings and reports 2.57 0.014
Editor's Notes
(whitelight group, 2014).
OSHA(Occupational Health and Safety Administration. US)에 의하면, 2014년 20% 이상의 건설 현장 작업자가 사망하고 있다는 발표를 하였다. 치명적인 사망 원인으로는 '추락', '감전', '물체에 의한 충격', '물체 사이에 끼임' 등의 원인이 작업자 사망 원인의 60%를 차지하고 있다.
2016년, AIG는 HCS(Human Condition Safety) 스타트업 회사에 투자를 하였다(AIG). 이 회사는 IoT 기술을 사용하여, 작업자의 안전한 환경을 만드는 데 도움을 주고, 작업 현장의 위험을 식별하고 줄이는 데 도움을 주는 기술을 개발한다. HCS는 웨어러블 기술을 적용한다. 만약, HCS 센서를 착용한 작업자가 중장비가 근처에 있는 위험한 지역에 들어가면, 시스템은 작업자에게 안전한 위치로 이동하라는 경고를 주고, 그 중장비를 자동적으로 셧다운시킬 수 있다. 현장 관리자는 현장 환경 데이터를 접근할 수 있다.
Human Condition Global 사는 건설 현장 안전 이슈를 해결하기 위해 노력하고 있다(Jeff Walsh, 2015). 이 회사의 비전은 2025년까지 작업 현장의 사망 사고를 없애는 것이다. 이 회사는 현장 안전 문제를 모니터링하고, 문제를 예방하는 데 도움을 주는 시스템을 개발하고 있다.
빌딩 분야는 IoT 기술을 접목하기 가장 효과적인 건설 분야 중 하나이다. IoT와 접목할 때 효과 있는 세부 분야로 Jacqi Levy(2016)는 BIM(Building Information Modeling), 그린 빌딩(Green Building), 사전제작시공(Prefabrication), 시공 관리를 언급하고 있다.
BIM은 3차원 기반 건물 통합 정보 모델링 방법으로, 건설의 전생애주기 정보를 담을 수 있다. BIM은 해외 공사 발주 시 의무화되고 있으며, 국내 조달청 공공 공사 발주 시 BIM 모델을 의무적으로 제출하도록 하고 있다. BIM의 정보 모델은 국제 표준이다. BIM은 건축 부재에 부착된 IoT 센서 데이터를 연계하고 통합하는 표준화된 데이터 소스 역할을 할 수 있다.
오늘날 그린 빌딩은 공간이 비어 있을 때를 모니터링하여, 조명이 불필요할 때와 같은 불필요한 빌딩 시스템을 자동적으로 셧다운할 수 있다. 예를 들어, The Edge 상업용 빌딩(암스테르담)은 스마트 LED 조명 시스템을 사용한다. 30,000 개 센서가 IoT를 통해 빌딩관리 시스템에 연결되어 있다. 이 센서는 조도, 모션, 적외선, 온도를 측정할 수 있고, 이 데이터를 이용해 자동적으로 에너지 사용량을 조정할 수 있다. 밤에 빌딩의 공간이 사용되지 않는다면, 해당 공간의 전등, 냉난방은 자동적으로 꺼진다. 스마트 폰을 이용해, 거주자 공간의 조도, 온도, 습도를 제어할 수 있다. 이런 이유로, The Edge 빌딩은 다른 평균 상업용 빌딩보다 전력 사용량이 70% 이하이다. 싱가포르의 Capital Tower는 스마트 빌딩으로 IoT 기술을 사용하고 있다. 빌딩 환기를 위해, 배기 팬은 센서와 연결되어, 지능형 빌딩 관리 시스템의 제어를 받는다.
사전제작시공 기술은 기존 건설 방식보다 비용 효과적이고 빠른 시공이 가능하다. 하지만, 대형 상업 빌딩 프로젝트에서 이 방식을 사용하는 것은 매우 복잡한 조율작업이 필요하다. IoT는 이 문제를 해결하는 데 도움이 될 수 있다. RFID 센서를 사용하면, 개별 부재는 건설 공급체인에서 추적될 수 있다. 최근 런던의 Leadenhall Building 시공 예가 이런 방식이다. 부재에 부착된 RFID 데이터는 BIM과 통합될 수 있다. 이를 통해 시공 과정 통제 및 KPI(Key Performance Indicator)를 모니터링할 수 있다. Leadenhall 빌딩은 부재의 80% 이상이 사전제작되어 운송된 후, 시공 현장에서 성공적으로 조립되었다. Off-Site 제작은 빌딩 프로세스를 더 안전하고, 정밀하며, 재활용 가능하도록 만들고, 소음과 분쟁 소지를 줄여준다.
최신 원격 모니터링 기술은 건설 장비가 어떻게 동작하는 지에 대한 상세한 정보를 제공할 수 있다. 건설 기계 장비에 IoT 기술을 적용해, 센서로부터 장비를 모니터링하고, 운영하면, 많은 이익 증가를 기대할 수 있다(Alan Safe, 2016).
중장비는 센서와 통합되어, 원격으로 KPI를 모니터링할 수 있다. 이는 온도, 진동, 변동과 같은 잠재적인 유지보수 이슈과 관련된 데이터를 실시간으로 확인할 수 있음을 의미한다. 비정상 패턴이 발견되면, 유지보수 작업자에게 심각한 문제가 발생하기 전에 경고를 줄 수 있다. 사전 유지보수 수행은 시간과 돈을 아껴준다. 이는 불필요한 시공 지연을 막아준다.
JCB India는 인도의 건설 장비 제조를 리딩하고 있다(Wipro Digital, 2016). 이 회사의 비전 중 하나는 20,000 개의 장치를 연결하는 것이다. 이를 위해, Wipro 클라우드 기반 Industrial Internet Platform 을 사용하고 있다
스마트 홈은 IoT 기술이 효과적으로 적용되기 시작한 분야 중 하나이다. 몇 년 사이에 수많은 IoT 기반 스마트 홈 제품이 출시되었으며, 최근에는 인텔에서 기술을 제공한 스마트 소형 주택이 샌프란시스코에서 공개되었다(Mike Chino, 2015). 이 스마트 홈에는 인텔의 IoT 플랫폼이 사용되며, 조명, 낸낭방 설비 등을 스마트 폼 등을 이용해 원격으로 모니터링하고 관리할 수 있다.
LIXIL의 U²-Home 와 IoT 하우스는 거주자로부터 데이터를 수집하기 위해 센서를 사용한다(World Economic Forum, 2016). 이 데이터는 인간 중심의 생활 거주 패턴과 통찰을 얻기 위해 사용된다.
KieranTimberlake 란 필라델피아 소재 건축 회사는 2013년 ARCHITECT R+D Awards를 수상했다(Wanda Lau, 2016). 이들은 무선 센서 네트워크를 이용해, 녹색 옥상 식물에 대한 연구를 수행하였다. 이를 위해, IoT기반의 온도, 습도 센서를 설치하고, 무선 네트워크를 통해 데이터를 취득하여, 분석하였다. 설치된 센서는 300개 정도이다.
자산관리는 건설 분야에서 가장 큰 시장 중 하나이다. 자산관리는 시공된 후 획득된 자산의 유지보수, 운영 등을 포함한다. Project Aquila Demo Dec 2015
CCC(Consolidated Contractors Company)는 세계 20대 건설 업체 중 하나로 IoT 기술을 이용하고 있다(Monitor Deloitte, 2015). CCC의 IoT 기술은 실시간 시각적 정보를 세계 40국의 16,500 자산 유지보수 현황을 제공한다. 이를 통해, 11% 개선된 사전 유지보수를 할 수 있었으며, 자산 당 1,100 달러를 매년 비용 절감할 수 있었다.
IBM 왓슨 연구소는 IoT 기술을 연구하고 있다(CADDIGEST, 2016). 최근, 개발한 IoT 클라우드 플랫폼을 이용해, 빌딩 작업자가 작업에 편리한 환경을 만들기 위해 노력하고 있다. 이 기술을 이용해 센서로 부터 취득한 데이터를 분석하고, 사람이 작업하기 편리한 환경을 만드는 데 사용하고 있다. IBM의 Watson IoT 플랫폼은 TRIRIGA 시설물 관리 소프트웨어와 연계되어 활용하고 있다.
이외에 시설물 관리, 환경 관리, 물류, 스마트 그리드 기반 유틸리티 관리 분야에서 큰 기회가 있다. 향후 10년 간 관련 분야에서 많은 스타트업 회사가 생겨날 것이며, 이들이 개발하는 서비스는 건설 분야에 큰 영향을 줄 것이라 생각한다.
자산관리는 건설 분야에서 가장 큰 시장 중 하나이다. 자산관리는 시공된 후 획득된 자산의 유지보수, 운영 등을 포함한다. Project Aquila Demo Dec 2015
CCC(Consolidated Contractors Company)는 세계 20대 건설 업체 중 하나로 IoT 기술을 이용하고 있다(Monitor Deloitte, 2015). CCC의 IoT 기술은 실시간 시각적 정보를 세계 40국의 16,500 자산 유지보수 현황을 제공한다. 이를 통해, 11% 개선된 사전 유지보수를 할 수 있었으며, 자산 당 1,100 달러를 매년 비용 절감할 수 있었다.
IBM 왓슨 연구소는 IoT 기술을 연구하고 있다(CADDIGEST, 2016). 최근, 개발한 IoT 클라우드 플랫폼을 이용해, 빌딩 작업자가 작업에 편리한 환경을 만들기 위해 노력하고 있다. 이 기술을 이용해 센서로 부터 취득한 데이터를 분석하고, 사람이 작업하기 편리한 환경을 만드는 데 사용하고 있다. IBM의 Watson IoT 플랫폼은 TRIRIGA 시설물 관리 소프트웨어와 연계되어 활용하고 있다.
이외에 시설물 관리, 환경 관리, 물류, 스마트 그리드 기반 유틸리티 관리 분야에서 큰 기회가 있다. 향후 10년 간 관련 분야에서 많은 스타트업 회사가 생겨날 것이며, 이들이 개발하는 서비스는 건설 분야에 큰 영향을 줄 것이라 생각한다.
자산관리는 건설 분야에서 가장 큰 시장 중 하나이다. 자산관리는 시공된 후 획득된 자산의 유지보수, 운영 등을 포함한다. Project Aquila Demo Dec 2015
CCC(Consolidated Contractors Company)는 세계 20대 건설 업체 중 하나로 IoT 기술을 이용하고 있다(Monitor Deloitte, 2015). CCC의 IoT 기술은 실시간 시각적 정보를 세계 40국의 16,500 자산 유지보수 현황을 제공한다. 이를 통해, 11% 개선된 사전 유지보수를 할 수 있었으며, 자산 당 1,100 달러를 매년 비용 절감할 수 있었다.
IBM 왓슨 연구소는 IoT 기술을 연구하고 있다(CADDIGEST, 2016). 최근, 개발한 IoT 클라우드 플랫폼을 이용해, 빌딩 작업자가 작업에 편리한 환경을 만들기 위해 노력하고 있다. 이 기술을 이용해 센서로 부터 취득한 데이터를 분석하고, 사람이 작업하기 편리한 환경을 만드는 데 사용하고 있다. IBM의 Watson IoT 플랫폼은 TRIRIGA 시설물 관리 소프트웨어와 연계되어 활용하고 있다.
이외에 시설물 관리, 환경 관리, 물류, 스마트 그리드 기반 유틸리티 관리 분야에서 큰 기회가 있다. 향후 10년 간 관련 분야에서 많은 스타트업 회사가 생겨날 것이며, 이들이 개발하는 서비스는 건설 분야에 큰 영향을 줄 것이라 생각한다.
자산관리는 건설 분야에서 가장 큰 시장 중 하나이다. 자산관리는 시공된 후 획득된 자산의 유지보수, 운영 등을 포함한다. Project Aquila Demo Dec 2015
CCC(Consolidated Contractors Company)는 세계 20대 건설 업체 중 하나로 IoT 기술을 이용하고 있다(Monitor Deloitte, 2015). CCC의 IoT 기술은 실시간 시각적 정보를 세계 40국의 16,500 자산 유지보수 현황을 제공한다. 이를 통해, 11% 개선된 사전 유지보수를 할 수 있었으며, 자산 당 1,100 달러를 매년 비용 절감할 수 있었다.
IBM 왓슨 연구소는 IoT 기술을 연구하고 있다(CADDIGEST, 2016). 최근, 개발한 IoT 클라우드 플랫폼을 이용해, 빌딩 작업자가 작업에 편리한 환경을 만들기 위해 노력하고 있다. 이 기술을 이용해 센서로 부터 취득한 데이터를 분석하고, 사람이 작업하기 편리한 환경을 만드는 데 사용하고 있다. IBM의 Watson IoT 플랫폼은 TRIRIGA 시설물 관리 소프트웨어와 연계되어 활용하고 있다.
이외에 시설물 관리, 환경 관리, 물류, 스마트 그리드 기반 유틸리티 관리 분야에서 큰 기회가 있다. 향후 10년 간 관련 분야에서 많은 스타트업 회사가 생겨날 것이며, 이들이 개발하는 서비스는 건설 분야에 큰 영향을 줄 것이라 생각한다.