• Title/Summary/Keyword: crowd

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Designing Region-specific information provided utilizing crowdsourcing service (크라우드 소싱을 활용한 지역특화 정보 제공 서비스 설계)

  • Kim, Jun-sik;Oh, Ji-yeon;Jo, Min-gi;Park, Suhyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.469-471
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    • 2017
  • Those who travel to another area for work or travel acquire cquire information through various media such as Internet websites before going to the area. The way to determine whether the information you collect is reliable is to go directly to that area. However, many users may overlook the date the post was posted. when you arrive at a delicious restaurant for a travel purpose, it can happen that the restaurant is gone. In order for Smartphone Users to be able to provide reliable information about a specific region through an application, it is possible to receive information from a specific local user using the application through crowd sourcing techniques. Collect suggestions from users when there are changes in the same area, rather than accepting indiscriminate information and when duplicate content exists, it is marked on the application map so that it can be viewed by other users. It provides not only simple restaurant information, but also area-specific information such as additional information about tourist attractions or information on restrooms to solve physiological phenomena that may occur in the area where they first arrive. Application users can get information about nearby public facilities and restaurants on a GPS basis.

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A Study on the Cooperation for the activation-type curriculum development site close (산학협력 활성화를 위한 현장밀착형 교과과정 개발에 관한 연구)

  • Kim, Heung-Su
    • Journal of Digital Convergence
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    • v.11 no.10
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    • pp.59-69
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    • 2013
  • 20s country employment rate to 57% in the last four years, is staying low. College graduates in the 25-29 year old crowd real unemployment rate is over 20% youth unemployment, the analysis problem is serious enough. Accordingly, activation of Cooperation, which addresses the issues of these countries now being recognized as the primary means, and in the future, government policy and national indicators to be given more attention and support seems clear. Government from 2012 'Cooperation Development Project leading universities' (LINC: Leaders in INdustry-university Cooperation) by promoting companies that require manpower, actual research and development and technology transfer to enable the University - Industry - between research institutions based on organic correlated with local universities and industrial growth model for the creation of a variety of leading industry cooperation. has to diffuse. This background, the aim of this study at the University of excavation site close-type talent. Fostering curriculum development are essential to the field on the form will close. In this study, major department (Department) conducted by major research based on the results of the curriculum needs to spread the field for Cooperation closely analyze the curriculum and Annual type, domain-specific promotion measures proposed.

A Study on Effective Methods to Enhance the Role of Private Security Firm for security Management in the Site of Performing Arts Events (공연장 안전관리 실태 및 개선에 따른 민간경비 역할증대에 관한 연구)

  • You, Young Il
    • Journal of the Society of Disaster Information
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    • v.8 no.2
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    • pp.158-170
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    • 2012
  • Citizens'income has been increased along with the trend of rapid changes in society, and the quality of their lives has been improved as well. As much as the degree of increase of quality of life, the number of spectators for performing art events, etc. who desire to fulfill their needs for enjoyment of varied cultural performances have been increasing, and also a large number of spectators enjoys a variety of festivals being held in each provincial area as well as international events: we still remember such frantic rooting shown by citizens during 2002 World Cup drawing attention and interest of entire nation. There are always risks of loss of human lives if accidents occur as there sult of close-packed crowd gathered at the same time. Therefore, it is required to prepare adequate security measures in order to prevent various accidents before hand. It is hoped that this research work would be of help for further efficient and systematic security management for the performing arts centers or public theaters encouraging the event organizer and the private security firm and the Korea Private Security Association to exert great effort and investments in further projects for development of security technology. Also, it is required to build a performance culture to consider audience's safety first from the beginning to the end of the event on the basis of efficient security management. Furthermore, spect at or sare required to recognize the fact that safety in the site for performing arts should be guaranteed for everyone's sake, and, to achieve this, they are obliged to be more cooperative with the event organizer and the private security firm, forming a trinity all together, in order not to have safety threatening situations in the site of performing arts events.

Abnormal Crowd Behavior Detection via H.264 Compression and SVDD in Video Surveillance System (H.264 압축과 SVDD를 이용한 영상 감시 시스템에서의 비정상 집단행동 탐지)

  • Oh, Seung-Geun;Lee, Jong-Uk;Chung, Yongw-Ha;Park, Dai-Hee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.6
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    • pp.183-190
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    • 2011
  • In this paper, we propose a prototype system for abnormal sound detection and identification which detects and recognizes the abnormal situations by means of analyzing audio information coming in real time from CCTV cameras under surveillance environment. The proposed system is composed of two layers: The first layer is an one-class support vector machine, i.e., support vector data description (SVDD) that performs rapid detection of abnormal situations and alerts to the manager. The second layer classifies the detected abnormal sound into predefined class such as 'gun', 'scream', 'siren', 'crash', 'bomb' via a sparse representation classifier (SRC) to cope with emergency situations. The proposed system is designed in a hierarchical manner via a mixture of SVDD and SRC, which has desired characteristics as follows: 1) By fast detecting abnormal sound using SVDD trained with only normal sound, it does not perform the unnecessary classification for normal sound. 2) It ensures a reliable system performance via a SRC that has been successfully applied in the field of face recognition. 3) With the intrinsic incremental learning capability of SRC, it can actively adapt itself to the change of a sound database. The experimental results with the qualitative analysis illustrate the efficiency of the proposed method.

Sentiment Analysis of Product Reviews to Identify Deceptive Rating Information in Social Media: A SentiDeceptive Approach

  • Marwat, M. Irfan;Khan, Javed Ali;Alshehri, Dr. Mohammad Dahman;Ali, Muhammad Asghar;Hizbullah;Ali, Haider;Assam, Muhammad
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.3
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    • pp.830-860
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    • 2022
  • [Introduction] Nowadays, many companies are shifting their businesses online due to the growing trend among customers to buy and shop online, as people prefer online purchasing products. [Problem] Users share a vast amount of information about products, making it difficult and challenging for the end-users to make certain decisions. [Motivation] Therefore, we need a mechanism to automatically analyze end-user opinions, thoughts, or feelings in the social media platform about the products that might be useful for the customers to make or change their decisions about buying or purchasing specific products. [Proposed Solution] For this purpose, we proposed an automated SentiDecpective approach, which classifies end-user reviews into negative, positive, and neutral sentiments and identifies deceptive crowd-users rating information in the social media platform to help the user in decision-making. [Methodology] For this purpose, we first collected 11781 end-users comments from the Amazon store and Flipkart web application covering distant products, such as watches, mobile, shoes, clothes, and perfumes. Next, we develop a coding guideline used as a base for the comments annotation process. We then applied the content analysis approach and existing VADER library to annotate the end-user comments in the data set with the identified codes, which results in a labelled data set used as an input to the machine learning classifiers. Finally, we applied the sentiment analysis approach to identify the end-users opinions and overcome the deceptive rating information in the social media platforms by first preprocessing the input data to remove the irrelevant (stop words, special characters, etc.) data from the dataset, employing two standard resampling approaches to balance the data set, i-e, oversampling, and under-sampling, extract different features (TF-IDF and BOW) from the textual data in the data set and then train & test the machine learning algorithms by applying a standard cross-validation approach (KFold and Shuffle Split). [Results/Outcomes] Furthermore, to support our research study, we developed an automated tool that automatically analyzes each customer feedback and displays the collective sentiments of customers about a specific product with the help of a graph, which helps customers to make certain decisions. In a nutshell, our proposed sentiments approach produces good results when identifying the customer sentiments from the online user feedbacks, i-e, obtained an average 94.01% precision, 93.69% recall, and 93.81% F-measure value for classifying positive sentiments.

A Study on Integrated Marketing Communication(IMC) Activities to Increase the Crowd of Professional Volleyball Teams (프로배구구단 관중증대를 위한 통합적 마케팅 커뮤니케이션(IMC)활동에 관한 연구)

  • Kim, Kyoung-Hyun;Park, Sung-Su;Park, Kyeong-Rae
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.7
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    • pp.95-106
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    • 2020
  • The study was conducted to investigate the effectiveness of professional volleyball teams' integrated marketing communication(IMC) activities. The subjects of this study were a total of 400 surveys of visitors who visited the stadium to watch mans professional volleyball games from 2019 to 2020, and 385 questionnaires except for invalid or error questionnaires were used for research purposes. For factor analysis and reliability testing, IBM SPSS Statistics Ver 21.0 was used. Frequency analysis was conducted to examine the general characteristics. To verify differences between groups according to demographic and general characteristics, independent sample t-test and one-way ANOVA were performed, and correlation analysis was performed to examine the relationship between variables. In addition, regression analysis was conducted to verify the influence between variables. The results of the study are as follows. First, there was no difference in club image, club reputation, and club loyalty by gender. Second, there was no difference in club image, club reputation, and club loyalty according to age. Third, there was no difference in the club image, club reputation, or club loyalty according to the viewing experience. Fourth, professional volleyball team IMC activities were found to affect the club image. Fifth, professional volleyball team IMC activities were found to have an impact on the club's reputation. Sixth, it was shown that professional volleyball team IMC activities have an effect on club loyalty. Eighth, the club image was found to affect the club loyalty. Finally, it was found that the club reputation influenced the club loyalty.

A Study on Effective Real Estate Big Data Management Method Using Graph Database Model (그래프 데이터베이스 모델을 이용한 효율적인 부동산 빅데이터 관리 방안에 관한 연구)

  • Ju-Young, KIM;Hyun-Jung, KIM;Ki-Yun, YU
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.4
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    • pp.163-180
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    • 2022
  • Real estate data can be big data. Because the amount of real estate data is growing rapidly and real estate data interacts with various fields such as the economy, law, and crowd psychology, yet is structured with complex data layers. The existing Relational Database tends to show difficulty in handling various relationships for managing real estate big data, because it has a fixed schema and is only vertically extendable. In order to improve such limitations, this study constructs the real estate data in a Graph Database and verifies its usefulness. For the research method, we modeled various real estate data on MySQL, one of the most widely used Relational Databases, and Neo4j, one of the most widely used Graph Databases. Then, we collected real estate questions used in real life and selected 9 different questions to compare the query times on each Database. As a result, Neo4j showed constant performance even in queries with multiple JOIN statements with inferences to various relationships, whereas MySQL showed a rapid increase in its performance. According to this result, we have found out that a Graph Database such as Neo4j is more efficient for real estate big data with various relationships. We expect to use the real estate Graph Database in predicting real estate price factors and inquiring AI speakers for real estate.

A Study on the Smart Elderly Support System in response to the New Virus Disease (신종 바이러스에 대응하는 스마트 고령자지원 시스템의 연구)

  • Myeon-Gyun Cho
    • Journal of Industrial Convergence
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    • v.21 no.1
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    • pp.175-185
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    • 2023
  • Recently, novel viral infections such as COVID-19 have spread and pose a serious public health problem. In particular, these diseases have a fatal effect on the elderly, threatening life and causing serious social and economic losses. Accordingly, applications such as telemedicine, healthcare, and disease prevention using the Internet of Things (IoT) and artificial intelligence (AI) have been introduced in many industries to improve disease detection, monitoring, and quarantine performance. However, since existing technologies are not applied quickly and comprehensively to the sudden emergence of infectious diseases, they have not been able to prevent large-scale infection and the nationwide spread of infectious diseases in society. Therefore, in this paper, we try to predict the spread of infection by collecting various infection information with regional limitations through a virus disease information collector and performing AI analysis and severity matching through an AI broker. Finally, through the Korea Centers for Disease Control and Prevention, danger alerts are issued to the elderly, messages are sent to block the spread, and information on evacuation from infected areas is quickly provided. A realistic elderly support system compares the location information of the elderly with the information of the infected area and provides an intuitive danger area (infected area) avoidance function with an augmented reality-based smartphone application. When the elderly visit an infected area is confirmed, quarantine management services are provided automatically. In the future, the proposed system can be used as a method of preventing a crushing accident due to sudden crowd concentration in advance by identifying the location-based user density.

A Study on the Crisis Management Standard Manual for Large-scale Human Accident at Workplace for Efficiency of Disaster Response (재난대응 효율화를 위한 사업장 대규모 인적사고 위기관리 표준매뉴얼 개정방안 연구)

  • Woo Sub Shim;Sang Beam Kim
    • Journal of the Society of Disaster Information
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    • v.19 no.3
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    • pp.656-664
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    • 2023
  • Purpose: The Ministry of Employment and Labor manages disasters based on the standard manual for risk management of large-scale human accidents in workplaces when large-scale disasters such as fires and collapses occur in workplaces. We are going to check the standard manual currently in operation and suggest improvement plans for the insufficient items. Method: Accordingly, the standard manual was checked together with internal and external experts in the disaster management manual and disaster management staff at headquarters and local government offices, and items to be improved were identified with priority. Result: In case of a collapse accident, it is necessary for the Ministry of Public Administration and Security to accurately present the selection criteria in order to eliminate the controversy over the selection of the disaster management department. In addition, it seems necessary to supplement the details of the disaster safety communication network operation and evacuation guidelines. Conclusion: In the future, in order to improve the disaster management system that meets the public's eye level, it is expected to prepare a standard manual for risk management of large-scale human accidents in workplaces that guarantees the lives and safety of workers through the collection of opinions from experts in the relevant field, disaster management personnel, and the general public.

Musicals and Memories of the March 1 Independence Movement - Centered on the musical Shingheung Military School, Ku: Songs of the Goblin, Watch (기념 뮤지컬과 독립운동의 기억 -<신흥무관학교>, <구>, <워치>를 중심으로)

  • Chung, Myung-mun
    • (The) Research of the performance art and culture
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    • no.43
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    • pp.229-261
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    • 2021
  • On the musical stage in 2019, there were many works depicting the Japanese colonial period. This is due to 2019 the timeliness of the March 1st Movement and the centennial of the establishment of the Provisional Government of the Republic of Korea. The way of remembering and commemorating historical facts reflects the power relationship between memory subjects and the time, namely the politics of memory. Until now, stage dramas dealing with the era of Japanese rule have focused on the commemoration of modern national and national defense, including feelings of misfortune and respect for patriots. This study analyzed the metaphor of the memorials emphasized to the audience in the commemorative musicals Shingheung Military School, Ku: Songs of the Goblin, and Watch which were performed in 2019, and looked at how to adjust memories and memorials. The above works highlight the narratives of ordinary people as well as those recorded against the backdrop of the Manchurian Independence Movement and Hongkou Park, expanding the object of the commemoration. Through this, active armed resistance efforts, self-reflection and reflection were highlighted. The case of Shingheung Military School revealed the earnestness of ordinary people who led the independence movement through the movement of central figures. Ku: Songs of the Goblin revises memories by reproducing forgotten objects and apologizing through time slip. Watch has strengthened the spectacles of facilities through documentary techniques such as photography, news reels, and newspaper articles, but it also reveals limitations limited to records. In the 3.1 Movement and the 100th anniversary of the establishment of the Provisional Government of the Republic of Korea, devices that actively reveal that the "people's movement" is connected to the present. To this end, the official records reflected the newly produced values and memories and devoted themselves to the daily lives and emotions of the crowd. In addition, both empirical consideration and calligraphy were utilized to increase reliability. These attempts are meaningful in that they have achieved the achievement of forming contemporary empathy.