Polyethylene terephthalate (PET) is the conventional plastic used for packaging but disposal of PET in the natural environment poses significant threats to the ecological system. In the biological process, the degrada...
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The textile sector faces reverse logistics, with activities that can foster a circular economy, such as recycling and reusing materials, a challenge. Industrial waste represents difficulties in all countries, and sear...
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This work introduces a combined version of approximate adders (AxAs), joining approximate parallel prefix adders (AxPPA) with other AxAs from the literature (COPY, Truncation - TRUNC, and lower-part OR adder - LOA). W...
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ISBN:
(数字)9798350377200
ISBN:
(纸本)9798350377217
This work introduces a combined version of approximate adders (AxAs), joining approximate parallel prefix adders (AxPPA) with other AxAs from the literature (COPY, Truncation - TRUNC, and lower-part OR adder - LOA). We call this approach M-AxPPA (modified approximate parallel prefix adder) and investigate three specific versions: M-AxPPA-COPY, M-AxPPA-TRUNC, and M-AxPPA-LOA. We evaluate 315 different configurations, comparing our novel M-AxPPA to other AxAs proposed in the literature. We present pseudocode examples and investigate the accuracy quality, incorporating metrics like SSIM, NCC, MAE, MRE, and MRED. Additionally, we perform a trade-off analysis between accuracy quality and logic synthesis outcomes, underscoring the advantages of our M-AxPPA, notably the outstanding accuracy achieved by M-AxPPA-LOA (approaching 100%), with a substantial energy-saving.
This research aims an analyze of the interference analysis of the implementation of Telkom-3S and Starlink in Indonesia at downlink Ku-band Frequency based on the epfd calculation. This research conducts an analysis o...
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This paper is an analytical study of the optimal locations for tidal power generation in the Seto Inland Sea (SIS) in Japan. Multiple criteria were considered and evaluated to determine the optimal locations in the SI...
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This work investigates the design of approximate arithmetic operator units used in the VLSI modular reduction (AxMOD) architecture. The AxMOD architecture herein proposed explores the following arithmetic operators: i...
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ISBN:
(数字)9798350391695
ISBN:
(纸本)9798350391701
This work investigates the design of approximate arithmetic operator units used in the VLSI modular reduction (AxMOD) architecture. The AxMOD architecture herein proposed explores the following arithmetic operators: i) two approximate iterative-based fixed-point and Goldschmidt (GLD) dividers, ii) five approximate adders (AxA): COPY adder, error-tolerant adder (ETA), lower-part OR adder (LOA), truncation (Trunc), and approximate parallel prefix adder (AxPPA), and iii) five approximate multipliers of approximate radix-4 multiplier units (AxRMU), dynamic range unbiased multiplier (DRUM), rounding-based approximate (RoBA), truncated multiplier (Trunc), and the leading one-bit based approximate (LoBA). Our demonstration of AxMOD’s efficiency using approximate arithmetic operators from the Pareto-optimal front illustrates the area and power-quality trade-off. Our results reveal that in fixed-point arithmetic, AxRMU with K = 16 and Trunc adder with K = 8 deliver energy savings of up to 4.14× compared to the state-of-the-art.
One of the primary difficulties of Indonesia's banking sector is to ensure that it continues to develop in business, is robust, and can foresee new risks while enhancing governance, risk, and compliance. This stud...
One of the primary difficulties of Indonesia's banking sector is to ensure that it continues to develop in business, is robust, and can foresee new risks while enhancing governance, risk, and compliance. This study will determine the effect of risk management implementation, absorptive capacity, and digital adoption on organizational resilience. The survey method is being used as a research method, with targeted respondents from senior executives, including C-suites, senior vice presidents, and vice presidents. The results show that digital adoption and absorptive capacity impact risk management implementation and organizational resilience despite the limited research available in the Indonesian banking sector. The study will contribute to understanding how enterprise resilience is affected by risk management. This research has presented an opportunity for both banking management and policymakers to formulate strategies aimed at bolstering organizational resilience within the banking sector. These strategies could aid in navigating unforeseen and disruptive business environments. Furthermore, this study stands to expand the application of concepts such as organizational resilience and dynamic capacity theory, particularly within the banking industry of developing nations.
The quest for component size reduction raises concerns regarding device temperatures, particularly in power semi-conductor devices. In the pursuit of improved heat dissipation, several strategies can be used to optimi...
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In the quest to minimize energy waste,the energy performance of buildings(EPB)has been a focus because building appliances,such as heating,ventilation,and air conditioning,consume the highest ***,effective design and ...
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In the quest to minimize energy waste,the energy performance of buildings(EPB)has been a focus because building appliances,such as heating,ventilation,and air conditioning,consume the highest ***,effective design and planning for estimating heating load(HL)and cooling load(CL)for energy saving have become *** this vein,efforts have been made to predict the HL and CL using a univariate ***,this approach necessitates two models for learning HL and CL,requiring more computational ***,the one-dimensional(1D)convolutional neural network(CNN)has gained popularity due to its nominal computa-tional complexity,high performance,and low-cost hardware *** this paper,we formulate the prediction as a multivariate regression problem in which the HL and CL are simultaneously predicted using the 1D *** the building shape characteristics,one kernel size is adopted to create the receptive fields of the 1D CNN to extract the feature maps,a dense layer to interpret the maps,and an output layer with two neurons to predict the two real-valued responses,HL and *** the 1D data are not affected by excessive parameters,the pooling layer is not applied in this ***,the use of pooling has been questioned by recent *** performance of the proposed model displays a comparative advantage over existing models in terms of the mean squared error(MSE).Thus,the proposed model is effective for EPB prediction because it reduces computational time and significantly lowers the MSE.
Food innovations have become crucial for manufacturing's business performance;however, new food product still has low consumers adoption rate even with extensive of research and new knowledge. While the outcomes o...
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