13 research outputs found
Electricity Consumption Forecast Model Using Household Income: Case Study in Tanzania
No full textWhen considering the electrification of a particular region in developing country, the electricity consumption in that region must be estimated. In sub-Saharan Africa, which is one of the areas with the lowest electrification rates in the world, the villages of minority groups are scattered over a vast area of land, so electrification using distributed generators is being actively studied. Specifically, constructing a microgrid or introducing a solar system to each household is being considered. In this case, the electricity consumption of each area needs to be estimated, then a system with enough capacity could be introduced. In this study, we propose a household income electricity consumption model to estimate the electricity consumption of a specific area. We first estimate the electricity consumption of each household based on income and the electricity consumption of a specific area can be derived by adding up them in that area. Through a case study in Tanzania, electricity consumption derived using this model was compared with electricity consumption published by TANESCO, and the validity of the model was verified. We forecasted the electricity consumption in each region using the household income electricity consumption model, and the average forecast accuracy was 74%. The accuracy was 87% when the electricity consumption in Tanzania mainland was forecasted by adding the predicted values
Contract Wallet Using Emails
No full textWe proposed a new construction for contract wallets, smart contract
applications that allow users to control their crypto assets. Users can
manipulate their crypto assets by simply sending emails with no need to manage
keys. These emails are verified using zero-knowledge proof (ZKP) along with
their attached digital signatures that the sender domain server (SDS) generates
according to DomainKeys Identified Mail. Unless the SDS forges the emails, the
crypto assets remain secure in the proposed system. Moreover, the existing SDSs
can be used as is by outsourcing additional work to a third party that is not
necessarily trusted. The system supports various functions to manipulate crypto
assets. We produced a tool for variable-regex mapping (VRM) that enables
developers to build a new function without ZKP skills. For example, using the
tool, we built a demo application where users can exchange crypto assets via
Uniswap only with emails. The published version of this paper is available at
https://doi.org/10.1109/ICBC56567.2023.10174932.Comment: 2 page
Wood traceability system using blockchain and zero-knowledge proof
No full textThe system proposed in this study uses zero-knowledge proof (ZKP) to verify
the traceability of wood recorded in a public blockchain. Wood is a byproduct
of several states, ranging from standing trees to logs, lumber, and wood
products (hereinafter ``wood objects''). The advantage of using the blockchain
for record keeping is that participants can freely record the information at
their discretion, without any restrictions. However, the openness of the
blockchain may allow a malicious third party to introduce disinformation. In
this study, we employ ZKP and near-field communication (NFC) chips to eliminate
the possibility of disinformation introduction. ZKP is used to prove/validate
changes in the state of wood objects, and the unique nonce associated with that
state is encrypted and recorded on an NFC chip. The nonce is concealed and id
of the wood object is defined as hash value of this nonce. We developed a
prototype system based on an Android application and an Ethereum smart
contract. We confirm that wood traceability and verification can be performed
using the prototype system.Comment: 4 pages, 3 figures, accepted for Blockchain and Cryptocurrency
Congress (B2C' 2022
Volatility Reducing Effect by Introducing a Price Stabilization Agent on Cryptocurrencies Trading
No full textConstant-Cost Batched Partial Decryption in Threshold Encryption
No full textThreshold public key encryption schemes distribute secret keys among multiple parties, known as the committee, to reduce reliance on a single trusted entity.
However, existing schemes face inefficiencies as the committee should perform computation and communication for decryption of each individual ciphertext.
As the number of ciphertexts being decrypted per unit of time increases, this can limit the number of committee parties and their decentralization due to increased hardware requirements, heightening the risk of adversarial collusion.
To address this, we introduce tag-based batched threshold encryption (TBTE), which ensures constant computational and communication costs per committee member, independent of the number of ciphertexts being decrypted in batch under distinct decryption policies.
The TBTE scheme is constructed over bilinear groups in the random oracle model and secure in the algebraic group model, assuming the hardness of the -discrete logarithm problem and the EAV-security of the symmetric-key encryption scheme.
Evaluation of our implementation demonstrates constant data size, specifically 48 bytes received and 56 bytes sent, and constant execution time for each committee party during decryption, even for various batch sizes up to
Isolation and amino acid sequence of a dehydratase acting on d-erythro-3-hydroxyaspartate from Pseudomonas sp N99, and its application in the production of optically active 3-hydroxyaspartate
No full textAn enzyme catalyzing the ammonia-lyase reaction for the conversion of d-erythro-3-hydroxyaspartate to oxaloacetate was purified from the cell-free extract of a soil-isolated bacterium Pseudomonas sp. N99. The enzyme exhibited ammonia-lyase activity toward l-threo-3-hydroxyaspartate and d-erythro-3-hydroxyaspartate, but not toward other 3-hydroxyaspartate isomers. The deduced amino acid sequence of the enzyme, which belongs to the serine/threonine dehydratase family, shows similarity to the sequence of l-threo-3-hydroxyaspartate ammonia-lyase (EC 4.3.1.16) from Pseudomonas sp. T62 (74%) and Saccharomyces cerevisiae (64%) and serine racemase from Schizosaccharomyces pombe (65%). These results suggest that the enzyme is similar to l-threo-3-hydroxyaspartate ammonia-lyase from Pseudomonas sp. T62, which does not act on d-erythro-3-hydroxyaspartate. We also then used the recombinant enzyme expressed in Escherichia coli to produce optically pure l-erythro-3-hydroxyaspartate and d-threo-3-hydroxyaspartate from the corresponding dl-racemic mixtures. The enzymatic resolution reported here is one of the simplest and the first enzymatic method that can be used for obtaining optically pure l-erythro-3-hydroxyaspartate
A Linear programming formulation for routing asynchronous power systems of the Digital Grid
No full textIn recent years, practical research related to distributed power generation and networked distribution grids has been increasing. This research uses a relatively abstract model for the cost reduction in the Digital Grid Power Network. In the Digital Grid, the traditional wide-area synchronous grid is divided into smaller segmented grids which are connected asynchronously. In this paper, we demonstrate how to formulate the minimized cost of power generation by using linear programming methods, while considering the cost of electric transmission and distribution and using asynchronous power interchange among separate grids
Secure Processing and Distribution of Data Managed on Private InterPlanetary File System Using Zero-Knowledge Proofs
No full textIn this study, a new data-sharing method is proposed that uses a private InterPlanetary File System—a decentralized storage system operated within a closed network—to distribute data to external entities while making its authenticity verifiable. Among the two operational modes of IPFS, public and private, this study focuses on the method for using private IPFS. Private IPFS is not open to the general public; although it poses a risk of data tampering when distributing data to external parties, the proposed method ensures the authenticity of the received data. In particular, this method applies a type of zero-knowledge proof, namely, the Groth16 protocol of zk-SNARKs, to ensure that the data corresponds to the content identifier in a private IPFS. Moreover, the recipient’s name is embedded into the distributed data to prevent unauthorized secondary distribution. Experiments confirmed the effectiveness of the proposed method for an image data size of up to 120 × 120 pixels. In future studies, the proposed method will be applied to larger and more diverse data types
The Relationship between Bone Tissue Strain and HAp Crystals Strain Under Tensile Loading
No full textAll-in-one platform for AI R&D in medical imaging, encompassing data collection, selection, annotation, and pre-processing
No full textDeep Learning is advancing medical imaging Research and Development (R&D),
leading to the frequent clinical use of Artificial Intelligence/Machine
Learning (AI/ML)-based medical devices. However, to advance AI R&D, two
challenges arise: 1) significant data imbalance, with most data from
Europe/America and under 10% from Asia, despite its 60% global population
share; and 2) hefty time and investment needed to curate proprietary datasets
for commercial use. In response, we established the first commercial medical
imaging platform, encompassing steps like: 1) data collection, 2) data
selection, 3) annotation, and 4) pre-processing. Moreover, we focus on
harnessing under-represented data from Japan and broader Asia, including
Computed Tomography, Magnetic Resonance Imaging, and Whole Slide Imaging scans.
Using the collected data, we are preparing/providing ready-to-use datasets for
medical AI R&D by 1) offering these datasets to AI firms, biopharma, and
medical device makers and 2) using them as training/test data to develop
tailored AI solutions for such entities. We also aim to merge Blockchain for
data security and plan to synthesize rare disease data via generative AI.
DataHub Website: https://medical-datahub.ai/Comment: 5 pages, 3 figures, accepted to SPIE Medical Imaging 202
