• International Journal of Computer Science & Network Security
• /
• 제21권8호
• /
• pp.247-253
• /
• 2021

The outbreak of the deadly virus COVID-19 is said to infect 17.3Cr people around the globe since 2019. This outbreak is continuously affecting a lot of new people till this day and, most of it is said to under control. However, vaccines introduced around the world can help mitigate the risk of the virus. Apart from medical professionals, prediction models are also said to combinedly help predict the risk of infection based on given datasets. This paper is based on publication of a machine learning approach using regression models to predict the output based on dataset which have indictors grouped based on active, tested, recovered and critical cases along with regions and cities covering most of it from Dubai. Hence, the active cases are tested based on the other indicators and other attributes. The coefficient of the determination (r²) is 0.96, which is considered promising. This model can be used as an frame work, among others, to predict the resources related to the dangerous outbreak.

• International Journal of Computer Science & Network Security
• /
• 제22권1호
• /
• pp.189-198
• /
• 2022

As the number of people using the Internet increases, a new application known as the Internet of Things (IoT) has been emerged. Internet of Things makes it easier for machines and objects to exchange, compute, and coordinate information autonomously without human interference. It is a tool for attaching intelligence to a variety of contemporary objects in houses, hospitals, buildings, vehicles, and even cities. As a new emerging technology, the focus in current IoT surveys does not shed the light on deep understanding for IoT fundamentals, architectures, challenges, and solutions. For this reason, the objective of this paper is to introduce specifications for IoT definitions, characteristics, functional blocks, and different architectures as a cement for better understanding. Additionally, we present current documented IoT challenges, with the existing available solution for each challenge.

• International Journal of Computer Science & Network Security
• /
• 제23권4호
• /
• pp.25-31
• /
• 2023

Fog computing diversifies cloud computing by using edge devices to provide computing, data storage, communication, management, and control services. As it has a decentralised infrastructure that is capable of amalgamating with cloud computing as well as providing real-time data analysis, it is an emerging method of using multidisciplinary domains for a variety of applications; such as the IoT, Big Data, and smart cities. This present study provides an overview of the security and privacy concerns of fog computing. It also examines its fundamentals and architecture as well as the current trends, challenges, and potential methods of overcoming issues in fog computing.

• International Journal of Computer Science & Network Security
• /
• 제24권6호
• /
• pp.89-98
• /
• 2024

Due to the increase in population and consequently the increase in the production of plastic waste, recovery of this part of the waste is an undeniable necessity. On the other hand, the recycling of plastic waste, if it is placed in a systematic process and controlled, can be effective in creating jobs and maintaining environmental health. Waste collection in many large cities has become a major problem due to lack of proper planning with increasing waste from population accumulation and changing consumption patterns. Today, waste management is no longer limited to waste collection, but waste collection is one of the important areas of its management, i.e. training, segregation, collection, recycling and processing. In this study, a systematic method based on machine vision for sorting plastic bottles in different colors for recycling purposes will be proposed. In this method, image classification and segmentation techniques were presented to improve the performance of plastic bottle classification. Evaluation of the proposed method and comparison with previous works showed the proper performance of this method.

• 한국경제지리학회지
• /
• 제19권4호
• /
• pp.642-659
• /
• 2016

본 연구에서는 일본의 문화예술창조도시를 대상으로 창조도시정책에 사업추진실태의 특성을 살펴보고, 가나자와와 요코하마의 문화예술창조도시 사례를 중심으로 도시의 창조기반전략 관점에서 지자체의 문화예술창조도시정책을 재조명함으로써 정책적 시사점을 고찰하고자 한다. 이에 따른 창조기반전략의 정책적 시사점은 다음과 같다. 첫째, 창조기반전략의 거버넌스 관점에서 보면 가나자와는 시민주도적 협력적 네트워크를 통해 거버너스를 수행한 반면, 요코하마는 지방정부주도적 협력적 네트워크를 통해 창조도시정책의 거버넌스를 추진하였다. 둘째, 지역이 가지고 있는 내생적자원의 여건을 자연 건축환경, 사회적 상징적 자본, 경제활동 문화시설로 구분하여 살펴본 결과 가나자와와 요코하마의 내생적자원이 작동하는 메커니즘의 경로가 상이하였다. 셋째, 가나자와와 요코하마의 영역적 착근성 관점에서 보면 창조핵심지구에 있어 고객중심 원활한 보행자 접근성이 용이하고, 국내외 수요에 대한 교통접근성이 원활하며, 어메니티가 잘 갖추어져 있었다. 그리고 두 사례 지역 모두 영역적 착근성을 강화하기 위해 시민과의 연대를 통한 지속가능한 발전을 도모하고 있다.

• 한국환경과학회지
• /
• 제25권1호
• /
• pp.181-190
• /
• 2016

Regional air quality regulation is a system that allows the Minister of Environment to designate the local area as air quality control region where the concentrations of air pollutants are exceeding the environmental standards, and the local governments that administrate the regulated area have to develop and practise a plan for reducing the air pollutants. From the data observed yearly by the monitoring stations in 8 provincial cities with more than 0.5 million people was judged the compliance with air quality standards in each municipality for the period of 2003 to 2013. As the result of investigation on air pollutants concentrations of each city, it was found that there was no station that exceeds the ambient air quality standards of CO, $SO_2$ and 24-hour $NO_2$. But all municipalities exceeded the standards of 8-hour $O_3$, annual and 24-hour $PM_{10}$, and therefore 8 municipalities can be designated to be under the local air regulation. For the annual $NO_2$ were the monitoring sites necessary requirements for designation of the air quality regulation region in Cheongju, Cheonan, Daejeon and Gwangju area. Incase of 1-hour $O_3$, some of stations in Pohang, Cheongju, Cheonan and Changwon area were over the designation standards for the air quality control region.

• 한국지역지리학회지
• /
• 제17권5호
• /
• pp.554-567
• /
• 2011

창조도시가 도시 발전의 패러다임으로 점차 받아들여지는 가운데, 창조도시를 구성하는 주요 개념들 창조성, 창조계층, 창조산업 등의 의미를 살펴보았다. 창조도시의 개념에 관해서 지역 및 국가 간 다소 다르게 적용되고 있다는 점에서 관점의 차이가 나타난다. 본 연구는 상대적으로 창조도시에 관한 의미가 잘 부각되지 않는 국내의 중소 도시, 경북 북부 지역을 대상으로 그 의미를 파악하고자 하였다. 특히 창조산업의 의미가 지역의 자연, 농 특산품, 문화 역사적 자원의 관광자원화를 바탕으로 점차 문화, 체육 분야로 확대되어 나가고 있음을 확인할 수 있었다. 반면에 창조성의 의미가 그 지역의 자원을 활용하여 지역 활성화를 위한 모색하는 과정에서 어떠한 과정에 의해서 구체적으로 실현되어 가는지의 여부에 대해서는, 지방자치단체의 역할이 지역 내에서 비교적 뚜렷이 차이가 나타나고 있다. 주로 인터뷰에 의해서 파악된 그 역할은 리더의 역할, 지역 내 네트워크 체계, 외부와 네트워크 관계에 그 비중의 차이점을 보인다.

• 한국차세대컴퓨팅학회논문지
• /
• 제14권5호
• /
• pp.53-59
• /
• 2018

최근 컴퓨터 비전 기술의 발전으로 스마트도시에서는 합리적인 정확도로 복잡한 동작을 인식할 수 있다. 이와는 대조적으로, 싸움과 칼에 관련된 사건과 같은 폭력적인 인식은 관심을 덜 이끌었다. 시각적인 감시 능력은 거리나 교도소에서의 싸움을 감지하는데 사용될 수 있다. 이 논문에서 우리는 감시 카메라에 대한 심층 학습 기반의 폭력 인식 방법을 제안했다. 컨볼루션 뉴럴 네트워크(CNN) 모델은 폭력 인식을 위한 싸움과 칼의 벤치마크 데이터 셋에 대해 훈련하고 세부적으로 조정된다. 비정상적인 이벤트가 감지되면 가장 가까운 경찰서로 경보를 보내는 즉각적인 조치를 취할 수 있다. 제안된 방법의 실험 결과는 99.21%의 정확도를 달성함으로써 다른 최첨단 CNN모델을 능가했다.

• 국제학술발표논문집
• /
• The 8th International Conference on Construction Engineering and Project Management
• /
• pp.510-519
• /
• 2020

Within an intelligent automated cyber-physical system, the realization of the autonomous mechanism for data collection, data integration, and data analysis plays a critical role in the design, development, operation, and maintenance of such a system. This construct is particularly vital for fault-tolerant route-finding systems that rely on the imprecise GPS location of the vehicles to properly operate, timely plan, and continuously produce informative feedback to the user. More essentially, the integration of digital twins with cyber-physical route-finding systems has been overlooked in intelligent transportation services with the capacity to construct the network routes solely from the locations of the operating vehicles. To address this limitation, the present study proposes a conceptual architecture that employs digital twin to autonomously maintain, update, and manage intelligent transportation systems. This virtual management simulation can improve the accuracy of time-of-arrival prediction based on auto-generated routes on which the vehicle's real-time location is mapped. To that end, first, an intelligent transportation system was developed based on two primary mechanisms: 1) an automated route finding process in which predictive data-driven models (i.e., regularized least-squares regression) can elicit the geometry and direction of the routes of the transportation network from the cloud of geotagged data points of the operating vehicles and 2) an intelligent mapping process capable of accurately locating the vehicles on the map whereby their arrival times to any point on the route can be estimated. Afterward, the digital representations of the physical entities (i.e., vehicles and routes) were simulated based on the auto-generated routes and the vehicles' locations in near-real-time. Finally, the feasibility and usability of the presented conceptual framework were evaluated through the comparison between the primary characteristics of the physical entities with their digital representations. The proposed architecture can be used by the vehicle-tracking applications dependent on geotagged data for digital mapping and location tracking of vehicles under a systematic comparison and simulation cyber-physical system.

• 한국조경학회지
• /
• 제35권1호
• /
• pp.79-87
• /
• 2007

The objective of this study was to delineate forest patches in the cities around the Geum-buk mountains at the north of the Geum River using multiplesatellite remote sensing data. Landsat visible and near-infrared satellite images obtained at multiple dates in the growing season were used to create a forest distribution map. Fragstats 3.3 was used to get the landscape indices delineating the distribution of forest patches. Additional ground truth data was used to assess the accuracy of the classification. Factor analysis was used to get the 26 landscape indices clustered into 4 factors. Factor I was labeled as' size of forest patches', factor II as 'fragmentation of forest patches', factor III as 'shape of forest patches', and factor IV as 'complexity of forest patches'. Factor I described large patches and their core area, while others did small patches and their shape and complexity. Cities including Cheonan, Gongju, Cheongyang, and Boryeong near the main ridge of the Geumbuk Mtns. had a small number of large-sized forest patches. However, cities including Taean, Seosan, Dangjin, Hongseong near the ridge of the western Geumbuk Mtns. had a large number of small-sized forest patches. Finally, this study showed that the region near the coast line in Chung-nam province has various types of forest patches having an irregular forest edge due to the elevation and slope lower than the one of the region far from the coast line which is near the ridge of the Geum-buk Mountains. Remote sensing data were useful to understand the distribution of forest patches, and landscape indices could be keys to delineate the relationship between forest patches. And the factor analysis, which simplified 26 landscape indices into 4 landscape patterns allowed us to understand the distribution and relationship of forest patches in an easy way.