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      • KCI등재

        Hybrid Multi-stream Deep Learning-based Nutrient Estimation Framework in Biological Wastewater Treatement

        Ahtesham Bakht,Alam Nawaz,Moonyong Lee(이문용),Hyunsoo Lee(이현수) 한국지능시스템학회 2022 한국지능시스템학회논문지 Vol.32 No.3

        본 연구는 산업폐수 처리프로세스 에서의 딥러닝 기법을 응용한 예측 프레임웍을 다룬다. 산업폐수 처리 및 분석은 프로세스 자체 및 데이터가 가지는 비선형성 및 처리시간 때문에 어렵다는 특징을 지닌다. 기존의 수학적 모델링 기반의 방법들은 이러한 데이터의 다상관성 때문에 그 예측이 어렵다는 한계를 나타내었다. 이를 극복하기 하기 위하여, 본 연구는 측정이 어려운 NO2 집중도를 예측하는 하이브리드 멀티스트림 딥러닝 프레임웍을 제안한다. 입력값으로서, 상대적으로 측정이 쉬운 산성도, 온도, 산소포화도, 용량등을 활용한다. 입력값은 심층신경망을 통과하며, 추가적으로 NO2집중도는 순환신경망을 통하여 특성값을 추출하고, 이를 심층신경망을 통해 학습한다. 제안된 프레임웍은 RMSE와 R² 관점에서 기존의 딥러닝 기반 방법론들보다 좋은 예측정확도를 나타낸다. This paper discusses a prediction framework of deep learning techniques for modeling nutrient discharge from wastewater treatment plants. Control of Biological Wastewater Treatment (BWWT) is difficult because of the time-consuming, non-linearity nature of the process. Traditional modeling methods are incapable of capturing long-term multivariate dependencies of data for forecasting. To address such concerns, this study proposes a hybrid multi-stream deep learning architecture to estimate a hard-to-measure nitrite (NO2) concentration. As input data, comparatively easily measurable elements such as pH, temperature, dissolved oxygen (DO), suspended solids, and volumes are used. The features are trained a deep learning structure and NO2 Concentration is trained using a recurrent neural network. The proposed hybrid multi-stream architecture performed much better than other existing unimodal deep learning architecture in terms of root mean square error (RMSE) and R².

      • Ecofriendly Anaerobic Ammonium Oxidation System: Optimum Operation and Inhibition Control Strategies for Enhanced Nitrogen Removal

        Arora, Amarpreet Singh,Nawaz, Alam,Yun, Chao Mun,Cho, Hwanchul,Lee, Moonyong American Chemical Society 2019 INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH - Vol.58 No.45

        <P>In practice, the complete autotrophic nitrogen removal or partial-nitritation (PN) and anaerobic ammonium oxidation (ANAMMOX) process (PN/A) has gained immense popularity and widespread application owing to its low operational cost and better treatment possibilities. However, ANAMMOX-based systems are inhibited by numerous factors that pose enormous challenge to the success of this technology. Hence, in lieu of finding optimum operational strategies, a PN/A sequencing batch reactor for treating high-strength ammonia wastewater obtained from an anaerobic digester was evaluated for 400 days. The impact of processing unit cycle strategies on process performance was evaluated with the amalgamation of intermittent feeding and aeration. The ecofriendly and eco-efficient system, adopted in this study, ensured enhanced cost-effective nitrogen removal along with reduction in greenhouse gas (GHG) emissions underlying stringent regulation. Nitrogen removal rate of 81% along with 68% reduction in GHG emissions compared to the conventional nitrification/denitrification system (29% lower than the last reported ANAMMOX system) was successfully achieved. The key concerns in negating the impacts of ANAMMOX inhibition caused by the seven most influential parameters/mechanisms are also addressed.</P> [FIG OMISSION]</BR>

      • KCI등재

        A Multi-Stage Encryption Technique to Enhance the Secrecy of Image

        ( Arindom Mondal ),( Kazi Md ),( Rokibul Alam ),( G. G. Md. Nawaz Ali ),( Peter Han Joo Chong ),( Yasuhiko Morimoto ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.5

        This paper proposes a multi-stage encryption technique to enhance the level of secrecy of image to facilitate its secured transmission through the public network. A great number of researches have been done on image secrecy. The existing image encryption techniques like visual cryptography (VC), steganography, watermarking etc. while are applied individually, usually they cannot provide unbreakable secrecy. In this paper, through combining several separate techniques, a hybrid multi-stage encryption technique is proposed which provides nearly unbreakable image secrecy, while the encryption/decryption time remains almost the same of the exiting techniques. The technique consecutively exploits VC, steganography and one time pad (OTP). At first it encrypts the input image using VC, i.e., splits the pixels of the input image into multiple shares to make it unpredictable. Then after the pixel to binary conversion within each share, the exploitation of steganography detects the least significant bits (LSBs) from each chunk within each share. At last, OTP encryption technique is applied on LSBs along with randomly generated OTP secret key to generate the ultimate cipher image. Besides, prior to sending the OTP key to the receiver, first it is converted from binary to integer and then an asymmetric cryptosystem is applied to encrypt it and thereby the key is delivered securely. Finally, the outcome, the time requirement of encryption and decryption, the security and statistical analyses of the proposed technique are evaluated and compared with existing techniques.

      • KCI등재

        An Offline Electronic Payment System Based on an Untraceable Blind Signature Scheme

        ( Md. Abdullah Al Rahat Kutubi ),( Kazi Md. Rokibul Alam ),( Rafaf Tahsin ),( G. G. Md Nawaz Ali ),( Peter Han Joo Chong ),( Yasuhiko Morimoto ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.5

        This paper proposes a new offline electronic payment (e-payment) system that satisfies the major security requirements of e-payment, i.e. anonymity, unlinkability, unforgeability, double spending control, conditional traceability, and fraud prevention. The central idea is the use of Hwang et al.`s RSA-based untraceable blind signature (BS), which disables the link between the e-coin and its owner and ensures the anonymity of both the customer and the merchant. It attaches an expiration, a deposit and the transaction dates to each e-coin in order to manage the database of the bank effectively, to correctly calculate the interest on the e-coin and to aid arbitration if a dishonest customer attempts to double-spend the coin. It also ensures the anonymity of the customer as long as the coin is spent legitimately. Only when a fraudulent e-coin transaction is detected can the bank, with the help of the central authority (a trusted entity), determine the identity of the dishonest customer. The system is referred to as offline since the bank does not need to be concurrently involved in transactions between a customer and a merchant. Finally, analyses of the performance of the prototype and the primary security requirements of the proposed system are also presented.

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