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최대 10 단어까지만 선택 가능합니다.
최대 10 단어까지만 선택 가능합니다.
문제 정의
- The proposed method improves the utilization of transmission capacity, and analysis results show that the thermal load potential of the transmission lines is efficiently extracted by dynamic thermal rating. The paper presents a theoretical foundation for increasing the absorptive capability of the power grid. The dynamic thermal rating demonstrates a theoretical foundation for improving the absorptive capacity of the power grid by allowing excavation of thermal load potential of transmission lines.
제안 방법
- [14] addressed the issues in the green supply chain management such as sustainable development, economic globalization, a holistic index framework. The authors proposed an index framework to solve the adaptive weight problem. The comparison of the TOPSIS (technique for order performance by similarity to ideal solution) shows that the adaptive weight D-S theory model in this paper is feasible and effective.
- Subjective information is extracted from text present on social media and various methods are applied upon it, such as natural language processing, computational linguistics, and text analysis. The paper discusses the primary tasks and applications of sentiment analysis and provides an in-depth study of various sentiment analysis algorithms. Several algorithms, methodologies, and techniques present in the research literature are categorized and summarized to facilitate future research in the field of sentiment analysis.
- [13] presented a study to determine a user’s life pattern using eye-tracking, SNS, and heterogeneous data and proposed an intuitive and precise user modeling. The study derives classification preference by analyzing eye tracking data and conducts eye-tracking experiments using various smart devices. The similarity between users is drawn using the Pearson correlation coefficient.
- The detection accuracy improves when there is low SNR with low complexity. The transmission bandwidth is preserved by making the local sensing node transmit the observed results via the control channel to the fusion center and use the voting rule to make the decision. Simulation results demonstrate shortening of the average sensing time, improvement in the system detection probability, and a low increase in the costs of the sensing system.
- [8] proposed a method to transform the Event-B synchronous control flow design pattern into the labeled transition system (LTS) behavior model. They mapped the design pattern instantiation process of Event-B with the instantiation process of LTS model and verified the linear temporal logic (LTL) behavior properties of the LTS model. The LTS model of a complex multi-level control system is obtained using this process.
- This issue involved 19 novel and enhanced peer-reviewed papers from different countries in the world. This paper presents diverse kinds of paradigms to subjects, which tackle diverse kinds of research areas such as AI, thermal load capacity, intelligent sensing security, HEVC, sentiment analysis optimized resources, blockchain, digital image watermarking, human tracking technique, steganography software engineering, malware distribution networks, fingerprint matching, wireless sensor networks, semantic web, and so on.
- This paper presents various models and methodologies which address different issues in communication networks such as dynamic thermal rating to solve the problem of unequal energy transmissions, fast-rough mode decision algorithm to reduce the computational complexity of HVEC video coding standard, a data leakage pattern detection system using convolutional neural network algorithm and a cloud data security and privacy model using RSA algorithm and role-based access control. Especially, the research related to blockchain and crypto currency are introduced, which were found with significant contributions in main interested topics of Blockchain and Crypto Currency.
대상 데이터
- This issue involved 19 novel and enhanced peer-reviewed papers from different countries in the world. This paper presents diverse kinds of paradigms to subjects, which tackle diverse kinds of research areas such as AI, thermal load capacity, intelligent sensing security, HEVC, sentiment analysis optimized resources, blockchain, digital image watermarking, human tracking technique, steganography software engineering, malware distribution networks, fingerprint matching, wireless sensor networks, semantic web, and so on.
데이터처리
- The study derives classification preference by analyzing eye tracking data and conducts eye-tracking experiments using various smart devices. The similarity between users is drawn using the Pearson correlation coefficient. The study results demonstrate that smart devices influence users.
이론/모형
- The role-based access control model uses access control markup language to provide data access and security. Data encryption and decryption time and cost are reduced by applying the proposed cryptography concept for data storage and managing data access via the access control model. Experimental results show that the access model achieves encryption and decryption at the least time and lowest cost and improves the security of data stored in the cloud.
- The total number of movies suggested is 20 and the best number of movies recommended is 5. The proposed method is effective using the Mean Absolute error and shows the best performance compared to k-NN and density-based clustering methods.
- Related patterns between security logs are first analyzed using association relationship analysis and then using a malicious behavior graph, data leakage is detected using CNN algorithm. The system can identify the attacker along with their malicious behavior from the results derived from the CCN algorithm. Evaluation results demonstrate the proposed system can successfully identify previously undefined malicious data leakage patterns.
성능/효과
- Computational complexity is reduced by implementing the three-step search method in the remaining 19 candidate modes and reduces them to 12–15 modes. Experimental results indicate RMD reduces 39.7% of the encoding time with negligible loss of BDPSNR (Bjontegaard delta peak signal-to-noise ratio). The BDPR is increased by 1.
- The authors proposed an index framework to solve the adaptive weight problem. The comparison of the TOPSIS (technique for order performance by similarity to ideal solution) shows that the adaptive weight D-S theory model in this paper is feasible and effective.
- The model is 98.5% accurate using smart TV’s and 96.5% accurate when using smartphones.
- The primary disadvantage of transmission lines currently is the lack of transmission capacity which is limited by the maximum permissible operating temperature of the conductor. The proposed method improves the utilization of transmission capacity, and analysis results show that the thermal load potential of the transmission lines is efficiently extracted by dynamic thermal rating. The paper presents a theoretical foundation for increasing the absorptive capability of the power grid.
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