• International Journal of Computer Science & Network Security
• /
• v.24 no.6
• /
• pp.83-88
• /
• 2024

In this paper we used classification algorithms on social networking. We are proposing, a new classification algorithm called the improved Decision Tree (IDT). Our model provides better classification accuracy than the existing systems for classifying the social network data. Here we examined the performance of some familiar classification algorithms regarding their accuracy with our proposed algorithm. We used Support Vector Machines, Naïve Bayes, k-Nearest Neighbors, decision tree in our research and performed analyses on social media dataset. Matlab is used for performing experiments. The result shows that the proposed algorithm achieves the best results with an accuracy of 84.66%.

• Journal of the Institute of Electronics Engineers of Korea SD
• /
• v.47 no.11
• /
• pp.54-64
• /
• 2010

Reed-Solomon (RS) codes are the most widely used error correcting codes in digital communications and data storage. Recently, Sudan found algorithm of list decoder for RS codes. List decoder has larger decoding radius than conventional hard-decision decoding algorithms and return more than one candidate polynomial. But, the algorithm includes interpolation and factorization step that demand massive computations. In this paper, an efficient architecture and processing schedule are proposed. The architecture consists of R-MAC, memories, and control unit. The R-MAC computes both of RC and PU steps that are main part of the factorization algorithm. The proposed architecture can achieve higher hardware utilization efficiency (HUE) and throughput by using efficient processing schedule and memory architecture. Also, the architecture can be designed flexibly with scalability for various applications. We design and synthesize our architecture using Dongbu-Anam $0.18{\mu}m$ standard cell library and the maximum clock frequency is 330MHz.

• Proceedings of the KIEE Conference
• /
• summer
• /
• pp.135-137
• /
• 2004

This paper describes new land use estimation method for long term load forecast using $R\startree$ algorithm. Where $R\startree$ algorithms is a proposed method for efficient spatial search. An estimation result showed that execute time of the proposed method is prior to execute time of conventional method.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.11a
• /
• pp.1452-1455
• /
• 2012

본 논문은 출시된 지능형 교통 기반으로 설계된 RoboCAR 운행제어 개발과 시험을 하고자 한다. 이를 위해 시스템 설계를 통해,Test Case 추출과 실제로 적용하여 구현된 소프트웨어를 시험에 목적을 둔다. 이 절차는 Use-Case Diagram 설계, Decision Factor 추출, 이 기반으로 Cause-Effect Diagram을 생성한다. Cause-Effect Diagram을 통해 Decision Table을 생성한다. 최종적으로 Decision Table을 기반으로 Test Case를 추출한다. 추출된 Test Case를 적용하여 시스템을 테스트 하였고, 설계와 구현이 동일하게 되었음을 검증하였다.

• Journal of Broadcast Engineering
• /
• v.16 no.6
• /
• pp.1026-1035
• /
• 2011

This paper presents generalization and application for the conventional SISO decoding algorithm of Block Turbo Codes. R. M. Pyndiah suggested an iterative SISO decoding algorithm for Product Codes, two-dimensionally combined linear block codes, on AWGN channel. It wascalled Block Turbo Codes. Based on decision of Chase algorithm which is SIHO decoding method, SISO decoder for BTC computes soft decision information and transfers the information to next decoder for iterative decoding. Block Turbo Codes show Shannon limit approaching performance with a little iteration at high code rate on AWGN channel. In this paper we generalize the conventional decoding algorithm of Block Turbo Codes, under BPSK modulation and AWGN channel transmission assumption, to the LLR value based algorithm and suggest an application example such as concatenated structure of LDPC codes and Block Turbo Codes.

• International Journal of Computer Science & Network Security
• /
• v.21 no.7
• /
• pp.350-358
• /
• 2021

In modern years, the performance of the students is analysed with lot of difficulties, which is a very important problem in all the academic institutions. The main idea of this paper is to analyze and evaluate the academic performance of the college students with bipolar disorder by applying data mining classification algorithms using Jupiter Notebook, python tool. This tool has been generally used as a decision-making tool in terms of academic performance of the students. The various classifiers could be logistic regression, random forest classifier gini, random forest classifier entropy, decision tree classifier, K-Neighbours classifier, Ada Boost classifier, Extra Tree Classifier, GaussianNB, BernoulliNB are used. The results of such classification model deals with 13 measures like Accuracy, Precision, Recall, F1 Measure, Sensitivity, Specificity, R Squared, Mean Absolute Error, Mean Squared Error, Root Mean Squared Error, TPR, TNR, FPR and FNR. Therefore, conclusion could be reached that the Decision Tree Classifier is better than that of different algorithms.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.10a
• /
• pp.1494-1496
• /
• 2015

본 논문에서 제안하는 움직임 모드 알고리즘은 움직임 추정 이전에 움직임 모드를 결정하여 기존의 모든 블록에 대해 움직임 추정하는 방식을 선택된 모드에 대해서만 움직임 추정을 진행한다. 다른 모드 결정 방법과 비교했을 때 PSNR은 비슷한 수준이었고 비트율은 적은 것을 실험을 통해 확인 하였다. 반면 다양한 영상의 인코딩 시간을 측정하여 다른 방법보다 평균 30% 시간을 줄일 수 있다.

• 대한공업교육학회지
• /
• v.45 no.1
• /
• pp.84-102
• /
• 2020

During the period of rapid industrial growth, specialized high schools were important vocational education institutions trained specialists and technicians. But now, specialized high schools turned into high schools where the low-ranking students who were pushed out of the competition for admission due to a decline in the education population, changes mostly in labor demand in the labor market, and discrimination against skilled workers. In order to solve this problem, the middle school 3rd grade teachers in charge of the middle school can provide early career guidance, so that they can decide to go to the specialized high school according to their aptitude and talent rather than their grades. The purpose of this study is to investigate the relationship between general characteristics and perception of middle school 3rd grade teachers, and the rate of decision to enter specialized high school. In 2018, The middle school 3rd grade teachers in charge in Daejeon metropolitan city were selected. The results of this study were as follows: When 3rd grade teachers in charge are the male teachers 21.01%(M=.2101) of their students go to specialized high schools. When they are teachers who have not graduated from college of education(M=.2110), with doctoral degree(M=0.3064), of their students go to specialized hight schools. Finally, there was a significant positive relationship between perceptions of high school teachers (β1 = .245, p = .000) and high school graduates (β2 = .149, p = .027). The regression equation derived from this is y = -0.56 + 0.037 * β1 + 0.025 * β2 10.1% (R² = 0.101).

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.21 no.9
• /
• pp.995-1004
• /
• 2010

In the channel-varying environment, it is very important to estimate the signal to noise ratio(SNR) of received signal and to transmit the signal effectively for the modern communication system. The performance of existing non-data-aided (NDA) SNR estimation methods are substantially degraded for high level modulation scheme such as M-ary APSK or QAM. In this paper, we propose a SNR estimation method which uses zero point auto-correlation of received signal per block and auto-/cross- correlation of decision feedback signal in OFDM system. Proposed method can be studied into two Types; Type 1 can estimate SNR by zero point auto-correlation of decision feedback signal based on the second moment property. Type 2 uses both zero point auto-correlation and cross-correlation based on the fourth moment property. In block-by-block reception of OFDM system, these two SNR estimation methods can be possible for the practical implementation due to correlation based the estimation method and they show more stable estimation performance than the previous SNR estimation methods. Also, we mathematically derive the SNR estimation expression according to computational difference of auto-/cross-correlation. Finally, Monte Carlo simulations are used to verify the proposed method.

• Advances in Energy Research
• /
• v.2 no.2
• /
• pp.61-72
• /
• 2014

This paper's aim is to do a global evaluation (considering four dimensions: technical-economic, environmental, social and political) in the ways of natural gas transportation (gas pipelines, GNL and GTL) and electric transmission, in order to supply the energy demands of Mato Grosso do Sul, a brazilian state. The transport ways had been compared between itself using a software of decision taking (Decision Lens Suite), which determined a better way for transporting natural gas in this case. In a generalized manner the gas pipeline is the best way of transporting natural gas, therefore it takes advantage in the majority of the analyzed dimensions.