• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.1-8
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• 2022

In this paper, we propose a fire detection system based on CCTV images using an object tracking technology with YOLOv4 model capable of real-time object detection and a DeepSORT algorithm. The fire detection model was learned from 10800 pieces of learning data and verified through 1,000 separate test sets. Subsequently, the fire detection rate in a single image and fire detection maintenance performance in the image were increased by tracking the detected fire area through the DeepSORT algorithm. It is verified that a fire detection rate for one frame in video data or single image could be detected in real time within 0.1 second. In this paper, our AI fire detection system is more stable and faster than the existing fire accident detection system.

• Journal of the Korean Home Economics Association
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• v.39 no.1
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• pp.137-149
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• 2001

Matemal behaviors of Korean mothers of one-year-old infants (26 boys and 21 girls) were observed at home. Mothers were from middle to upper-middle class families in Seoul. Trained observers visited the infant's home for 3 to 4 hours and observed infant-mother interactions in natural situation. After the home visit, observers sorted the Maternal Behavior Q-set into 9 piles, from most characteristics to least characteristics of the mothers. In general, Korean mothers were quite sensitive and responsive in their interactions with one-year-old babies. Mothers interpreted baby's cues correctly, noticed when baby was distressed, and slowed pace down to wait for baby's response. Maternal behaviors were somewhat different according to whether they interacted with boys or girls. Mothers of boys were observed to be less sensitive in their interactions than mothers of girls. Mothers of boys were more unaware of or insensitive to baby's signs of distress, their responses were more delayed, and provided baby to constant and unphased barrage of stimulation thus made baby overwhelmed. In contrast, mothers of girls enjoyed face-to-face interactions, slowed pace down, and their interactions revolved around baby's tempo and state.

• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.260-267
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• 2021

In this paper, we intend to use a new mixed model of YoloV5 and DeepSort. For fire detection, we want to increase the accuracy by automatically extracting the characteristics of the flame in the image from the training data and using it. In addition, the high false alarm rate, which is a problem of fire detection, is to be solved by using this new mixed model. To confirm the results of this paper, we tested indoors and outdoors, respectively. Looking at the indoor test results, the accuracy of YoloV5 was 75% at 253Frame and 77% at 527Frame, and the YoloV5+DeepSort model showed the same accuracy at 75% at 253 frames and 77% at 527 frames. However, it was confirmed that the smoke and fire detection errors that appeared in YoloV5 disappeared. In addition, as a result of outdoor testing, the YoloV5 model had an accuracy of 75% in detecting fire, but an error in detecting a human face as smoke appeared. However, as a result of applying the YoloV5+DeepSort model, it appeared the same as YoloV5 with an accuracy of 75%, but it was confirmed that the false positive phenomenon disappeared.

• Journal of applied mathematics & informatics
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• v.3 no.1
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• pp.11-24
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• 1996

The focus of this research is the class of sequential al-gorithms called predictive sorting algorithms for sorting a given set of n elements using pairwise comparisons. The order in which these pairwise comparisons are made is defined by a fixed sequence of all un-ordered pairs of distinct integers{1,2 ···,n} called a sort sequence. A predictive sorting algorithm associated with a sort sequence spec-ifies pairwise comparisons of elements in the input set in the order defined by the sort sequence except that the comparisons whose out-comes can be inferred from the preceding pairs of comparisons are not performed. in this paper predictive sorting algorithms are obtained based on known sorting algorithms and are shown to be required on the average O(n log n) comparisons.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.195-198
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• 2000

본 논문에서는 정보블록알고리즘(IBPA; Information Block Preprocessing Algorithm)을 이용한 정보블록 정렬알고리즘(IBSA; Information Block Sort Algorithm)을 제안하고 그 성능을 평가하였다. IBSA의 시간복잡도는 O(N)이며, 데이터의 분포상태에 영향을 받지 않는다. IBPA의 성능을 측정해본 결과, 2백만개의 랜덤데이터를 정렬한 경우, 중복 값 허용의 경우(a)는 퀵 정렬의 32.42%, 기수정렬의 9%정도의 비교회수만으로도 정렬할 수 있음을 보여주었으며, 중복 값이 없는 경우(b)는 퀵 정렬의 53.12%, 기수정렬의 12.79%정도의 비교회수만으로도 정렬할 수 있음을 보여주었다.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2002.11a
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• pp.179-182
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• 2002

Today, augmentation of industrial wastes with industrial development demands diminution and recycling technical development for industrial wastes reduction. A statistical research of industry and constructional wastes as a request of the times can achieve the conservation of resource and the protection of environment. The ultimate object of the study is not only diminution and recycling of industrial wastes but also the degree of self-sufficiency in resource and the attainment of comfortable life environment, which can the accomplish the resource circulation system and make progress into the environmentally advanced country. The object of this investigation is industrial classification, a waste discharge quantity, a waste sort, waste disposal of industrial wastes in Yeung-nam area. The investigation of special quality in industrial wastes can be used to establish a wastes management policy and a disposition method .

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.298-304
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• 2021

Currently, to prevent the spread of COVID-19 virus infection, gathering of more than 5 people in the same space is prohibited. The purpose of this paper is to measure the distance between objects using the Yolov5 model for processing real-time images with OpenCV in order to restrict the distance between several people in the same space. Also, Utilize Euclidean distance calculation method in DeepSORT and OpenCV to minimize occlusion. In this paper, to detect the distance between people, using the open-source COCO dataset is used for learning. The technique used here is using the YoloV5 model to measure the distance, utilizing DeepSORT and Euclidean techniques to minimize occlusion, and the method of expressing through visualization with OpenCV to measure the distance between objects is used. Because of this paper, the proposed distance measurement method showed good results for an image with perspective taken from a higher position than the object in order to calculate the distance between objects by calculating the y-axis of the image.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.357-360
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• 2022

본 논문에서는 대용량 데이터에서 빠르게 주변 데이터를 접근하기 위한 자료구조인 최근접 이웃 탐색(Nearest neighbor search, NNS) 문제를 빠르게 풀 수 있는 바이토닉 정렬(Bitonic sort) 기반 해시 테이블을 GPU기반에서 설계하는 방법과 이를 통해 입자 기반 물리 시뮬레이션을 고속화할 수 있는 방법에 대해 살펴본다. 본 논문에서는 CUDA 아키텍처를 이용하여 해시 테이블을 설계하였으며, 계산양이 가장 큰 데이터 정렬부분을 최적화함으로써 NVIDIA에서 제공하는 CUDA 해시 테이블보다 빠른 결과를 얻을 수 있으며, 이 자료구조를 입자 기반 시뮬레이션에 통합함으로써 고성능 시뮬레이션을 쉽게 제작할 수 있다.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.57-70
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• 2020

This study examines the subjective perception of software developers on happiness at work through the Q-sort methodology. Analysis of 63 respondents revealed four types happiness at work with highly differentiated characteristics: 'stability of work oriented', 'defiant self-driven, technology-oriented', 'realistic professionalism oriented', and 'genuinely technology and task-immersion oriented'. The 'defiant self-driven, technology-oriented' and 'genuinely technology and task-immersion oriented' types are interested in latest ICT and consider recognition of one's professionalism as well as self-realization result in happiness at work. On the other hand, the 'stability of work oriented' and 'realistic professionalism oriented' types did not pay much attention to one's growth of technical career but emphasized salary, welfare benefits and job promotion as the most important factors in happiness at work. Today, extraordinary SW developers are a key factor to acquire industrial competitiveness. Nations and corporations should prepare realistic ways to promote overall happiness at work by accurately understanding the varying characteristics and predisposition of domestic ICT personnel. In Korea, it is found that there is a shortage of 'genuinely technology and task-immersion oriented' SW developers. In order to secure national and industrial competitiveness in the era of the Fourth Industrial Revolution, creation of work ecosystem to promote high levels of happiness at work is required to secure quality software production and pride as an ICT professional.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.305-308
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• 2007

In this paper we suggest an efficient evolutionary approach based on topological sort techniques for precedence constrained TSPs. The determination of optimal sequence has much to offer to downstream project management and opens up new opportunities for supply chains and logistics. Experimental results show that the suggested approach is a good alternative to locate optimal solution for complicated precedence constrained sequencing as in optimization method for instance.