Reviewerly/exHarmony huggingface dataset:
Trusted Third Party Application in Durable Medium e-Service

The paper presents a novel concept of applying a trusted third party (TTP) to the blockchain-based electronic service (e-service) in the form of a durable medium. The main aim of the proposed e-service is storing, managing, and processing sensitive electronic documents. The developed e-service meets the requirements of both Polish law (related to the durable medium) and market needs. Firstly, the functional requirements were defined. Subsequently, the adequate e-service was designed, and then implemented in a real company in Poland. Due to the nature of the durable medium e-service, the presented research combines scientific and implementation aspects. The designed and implemented e-service is secure (because of using the immutable blockchain technology merged with symmetric and asymmetric cryptographic algorithms) and trusted (by using TTP as the e-service provider, as well as an independent arbitrator monitoring the document storage and processing flow). Finally, the presented approach was experimentally verified using Hyperledger Besu—a blockchain implementation platform. During the realization of two designed test scenarios, over 30,000 transactions were added to the blockchain. Furthermore, security analyses were performed regarding inherent blockchain properties, the use of cryptographic algorithms, and potential cyberattacks and vulnerabilities.
The Colors of Content Moderation: A Portfolio of Brazilian Resistances to Coloniality on Instagram

This article explores resistance to coloniality embedded on Instagram’s automated content moderation. With the growing use of artificial intelligence on Instagram’s content moderation, the company is increasingly criticized for the discriminatory effects of its algorithmic systems, which disproportionately punishes content produced by marginalized groups—such as racial and gender minorities—while leaving untouched similar content produced by more privileged groups. Additionally, when confronted with criticism, the company tends to respond with arguments that diminish users’ experiences of discrimination while reclaiming the monopoly over any statement about algorithms on the grounds they have the technical information about them. This article aims to articulate the concepts of “automated coloniality,” “datacentric epistemology” and “parrhesia” to discuss the colonial features of Instagram’s automated content moderation. Building on such framework, a portfolio of Brazilian resistance practices are used to illustrate some of the instances of coloniality within the social network content moderation and how Brazilian users respond to them, affirming their criticism as legitimate.
Legal Nature of Smart Contracts: Contract or Program Code?

Objective : due to the rapid technological changes, digital economy and contractual relations determine law transformation and legislation development towards adaptation to prospective spreading and application of smart contracts in civil and commercial turnover. In this regard, the study focuses on determining the legal essence of smart contracts as a fundamental step towards the development of their timely and clear regulation. Methods : the research is based on the methodology of formal-legal and comparative legal analysis. It compares the current Bulgarian legislation with supranational legal sources and identifies the characteristic features of smart contracts as demanded instruments necessary for modern law and economy. The article also compares them with the classical understanding of contracts, making it possible to understand and define the nature of smart contracts more accurately. Results : it was determined that a smart contract is a software code in which the parties predetermine conditions under which the contractual relationship between them is created, modified and terminated. The research proved that the contract execution does not depend on the action or inaction of its parties, but rather on the occurrence of a predetermined condition (a certain fact relevant to the parties) under which the contract must self-execute. It was substantiated that the will of the parties cannot be changed or replaced because of the special way in which the smart contract is recorded in a distributed ledger. It is found that the fundamental problem of transferring the will from the legal language to the program code of the smart contract persists: if the will of the parties is incorrectly transferred to the program code, the smart contract may self-execute, but its execution will not be the result that the parties counted on. Scientific novelty : the analysis made it possible to compare the current national (Bulgarian) legislation and supranational (European) law. It revealed the vagueness of smart contracts regulation, both at the national and international level, and identified a number of issues in need of scientific and legal interpretation, which refer to the legal nature of smart contracts in view of the self-executing program code concept. Practical significance : the study can serve as a basis for further development of legislation towards its adaptation to the prospects of smart contracts spreading and application in civil and commercial turnover. It also allows an in-depth analysis of the smart contracts practice referring to such unsolved problems as accurate transference of the parties' will to the program code (translation of specific terms from the legal language into the smart contract program code), electronic identification of subjects - parties to the transaction and many other issues.
Hybrid Dual-Scale Neural Network Model for Tracking Complex Maneuvering UAVs

Accurate tracking and predicting unmanned aerial vehicle (UAV) trajectories are essential to ensure mission success, equipment safety, and data accuracy. Maneuverable UAVs exhibit complex and dynamic motion, and conventional tracking algorithms that rely on predefined models perform poorly when unknown parameters are used. To address this issue, this paper introduces a hybrid dual-scale neural network model based on the generalized regression multi-model and cubature information filter (GRMM-CIF) framework. We have established the GRMM-CIF filtering structure to differentiate motion modes and reduce measurement noise. Furthermore, considering trajectory datasets and rates of motion change, a neural network at different scales will be designed. We propose the dual-scale bidirectional long short-term memory (DS-Bi-LSTM) algorithm to address prediction delays in a multi-model context. Additionally, we employ scale sliding windows and threshold-based decision-making to achieve dual-scale trajectory reconstruction, ultimately enhancing tracking accuracy. Simulation results confirm the effectiveness of our approach in handling the uncertainty of UAV motion and achieving precise estimations.
UNLOCKING THE POWER OF BIG DATA: DIGITAL TRANSFORMATION OF PUBLIC POLICY IN DPRD DKI JAKARTA

This research delves into the prospects and obstacles associated with utilizing large-scale data in developing public policies within the Indonesian context. Integrating big data technology holds promise as a tool for government agencies aiming to refine the public policy formulation process, ultimately providing enhanced services to the populace. Despite its inherent complexity and costliness, incorporating big data offers the government a means to furnish the most up-to-date, precise, and granular information pertinent to developmental issues. For instance, in the agricultural sector, big data can offer an intricate understanding of the diverse requirements of farmers in distinct regions, such as the differentiation between rice varieties sought by farmers in Kalimantan compared to those in Java. Furthermore, the expansive reservoirs of geophysical and meteorological big data hold the capacity to significantly bolster the government's initiatives concerning natural disaster mitigation policies. Nonetheless, the practical integration of big data still needs to be improved by a dearth of comprehensive regulations governing its application. Additionally, the perils of recurrent data breaches in the Indonesian context pose a formidable challenge. This comprehensive analysis concludes that using big data in policy formulation within Indonesia encounters substantial hurdles that threaten to overshadow the potential advantages this technology could offer in enhancing public policy crafting.
Internet of Things (IoT): An Educational Need

Education around the world is experiencing major paradigm shifts in educational practices of teaching and learning under the umbrella of ICT enable learning environment. The world is witnessing spontaneous growth in communication technology computer network and information technology. Development of new broadband communication services and convergence of telecommunication with computers which can be set to be the internet of things have created numerous possibilities to use a variety of new technology tools for teaching and learning systems. The Internet of things is so much into everything these days that it has started to be called as Internet of everything. It is not very surprising that internet of things, as it is now called has made its way into the education industry as well. Keeping in the mind the intervention of computers and smart phones into our lives and its effect on the educational system today, it. Sounds a bit farfetched at first for the internet of things to do anything with the education industry. While some of the effect that internet of things can bring into the education sector are apparent but some will be implicit and are likely to make a silent change from the inside. The internet of things can begin disrupting the education on procedure as early as kindergarten and can continue to do so through 12th standard but perhaps most profound effects occur in higher education. We will discuss the change that the internet of things can bring into the field of education and the challenges and impact of the internet of things in the 21st century education sector.
Advanced E-Voting System

Advancements in technology have led to the evolution of voting systems, paving the way for sophisticated e-voting solutions. This abstract delves into the design and critical components of an advanced e-voting system. The proposed system integrates cutting-edge security measures, utilizing encryption, blockchain technology, and robust authentication protocols to ensure the integrity and confidentiality of votes cast. Accessibility remains a paramount consideration, with provisions made for inclusivity through user-friendly interfaces and support for diverse voter groups, including those with disabilities. Scalability and reliability underpin the system's architecture, ensuring seamless operation during high-demand scenarios without compromising performance. Privacy preservation is addressed through cryptographic techniques that dissociate voter identity from ballots
Studies on flood disaster causes in DKI Jakarta Province

Abstract Flood is a disaster that occurs in almost regions of Indonesia, including DKI Jakarta province. From 2016 to 2020, there were more than 50 flood events in DKI Jakarta province. Several previous studies mentioned various factors that could cause flooding in DKI Jakarta province, including rainfall intensity, sea surface level, land surface level, and land use changes. This study aims to analyze and find out the main factors that cause floods in DKI Jakarta province. The data obtained from processing the interpretation of satellite imagery and literature review were then analyzed using a quantitative descriptive method with the Pearson correlation test to determine the coefficient value and the level of correlation/relationship between variables. The results showed that the rainfall intensity has a value of 0.968, the land use changes factor is 0.138, the land surface level factor is 0.095, and the sea surface level factor has a value of 0.051. Rainfall intensity has the highest value, with a strong correlation/relatedness to flood events. Land use changes, land surface level, and sea level have a shallow correlation/relationship to flood events. Thus, the rainfall intensity is the main factor causing flooding in DKI Jakarta province.
Relief (Recursive Elimination of Feature) method for Solar Home System (SHS) analysis in Delta Mahakam

Abstract The area of Delta Mahakam has not been accessible by an electricity network for a long time and has been relying on gasoline as a source of electric power generation for daily and economic activity. The community uses the Solar Home System (SHS) unit for their home and public facility. The provision of these SHSs units was an activity of a community development program from a company having industrial activity in the area. This research aims to identify the SHS unit’s condition and the attributes relevant to the condition of the SHS unit. An SHS condition was determined by gathering data on the technical specification such as unit power size and battery capacity, electricity utilization, and its financing model. Data is collected using field survey, data collection, and interviews with respondents. The data was then analysed by the Recursive Elimination of Feature (Relief) method to select features sensitive to the condition of the SHS unit. The result of this study showed that the majority of SHS units are still functional to satisfy the electricity need. The set of attributes used in this research were accurate for the intended classes of SHS condition. This result provides information beneficial to improve the existing program and impact the community.
Autonomous Wheelchair for Indoor Navigation

Abstract Wheelchairs are a very beneficial tool for commuting used by physically challenged people. But not everyone can make the wheelchair move on their own and often depend on help for movement of the wheelchair, making them dependent on constant support for every movement. Even when the physically challenged individuals are indoors, they end up being the dependent. The idea being proposed in the paper is develop a wheelchair that can make the movement of the wheelchair either automatic with inbuilt indoor navigation for easy navigation along with voice-based commands and joystick control for easy control. The wheelchair proved to be extremely beneficial for the physically challenged, at a relatively low cost.
A STEM activity in design and development of a simple machine using 3D printing and GoGo board

Abstract In 21st-century education, numerous research studies have shown that learner-centered teaching is significantly more effective than traditional lectures. A critical aspect of studying physics effectively is developing conceptual understanding through hands-on activities. With today’s technology easily accessible to both students and teachers, hands-on activities aimed at promoting physics understanding and design thinking have become more accessible than in the past. This research aims to create supplementary activities that utilize Makerspace tools such as 3D printers, laser cutters, and GoGo Board learning kits to enhance learning efficiency in the context of simple machines in physics. The primary goal of these activities is to help students apply their knowledge of simple machines, focusing on concepts such as mechanical advantage and machine efficiency while also developing Makerspace tool proficiency. Additionally, students will practice design thinking by creating prototypes of simple machines to accomplish specific tasks. Their tool utilization and design thinking abilities will be evaluated based on the simple machines they create, and mechanical advantage will be measured using a device capable of creating and measuring the tension in a rope designed with a GoGo Board. The process of developing these learning modules will be presented and discussed in detail.
Multi-component Seismic Data Random Noise Attenuation via Quaternion Wavelet Transform

Abstract In this paper, we present a new method with quaternion wavelet transform (QWT) to suppress the random noise of multi-component seismic data simultaneously. The proposed method could preserve the vector nature of the wavefield compared with the traditional wavelet threshold denoising approaches. Artificial data are used to test the new method’s performance. The experimental results show that QWT gets higher SNRs and better preserves weak reflecting energy.
Practical Application of UAV Source in Complex Area Exploration

Abstract Unmanned Aerial Vehicle(UAV) source is a new source for shallow seismic exploration. UAV source is based upon the principle of an accelerated weight drop from a high altitude. A 5-kilogram object is carried 500 meters above the surface, controlled by special remote control equipment to free fall at the exact moment we need it, and by hitting the ground at high speed, it generates a powerful amount of seismic waves. Different from traditional seismic sources, such as explosive sources and vibroseis, UAVs are not limited by terrain and it can generate seismic waves in complex environments such as mountains and rivers, with strong flexibility. Meanwhile, it’s impact object is recyclable, so the cost per excitation is minimal. In this paper, Firstly, we analyze the frequency information of the reflected signal in the seismic record obtained by the UAV source in the actual mountainous area, and then discuss the influence of different excitation positions on the record. Finally, we obtain the reflected seismic profile of the region through seismic data processing. It has been proven that UAV source can achieve low-cost and high-quality acquisition in complex environments
Research on Multi-dimensional and High-resolution Stereo Detection Technology of Urban Solid Waste Integrated With Open Space

Abstract The evolution law, waste type, volume and spatial distribution characteristics of a municipal solid waste landfill were studied by using multi-disciplinary comprehensive technologies such as surveying and mapping, geophysics, geological mapping, engineering drilling and three-dimensional modeling. Through the analysis of historical remote sensing and three-dimensional tilt photography data, the evolution law of solid waste is clarified, and the investigation scheme is formulated. With the help of GOCAD three-dimensional modeling software, the high-precision engineering borehole vertical layered positioning and high-resolution horizontal geophysical horizon tracking are organically combined to realize the high-precision and high-resolution intelligent analysis of spatial distribution and volume calculation of solid waste, The three-dimensional exploration system of eco-environmental geological survey is constructed.
Trials and tribulations: Developing an artificial intelligence for screening malaria parasite from peripheral blood smears

Detection of malaria parasite from blood smears remains the gold standard for confirmation of diagnosis. Screening blood smears for malaria parasite has a sensitivity of 75 %, and requires intensive training of the laboratory technician. In the present study, we have attempted to develop an artificial intelligence to automate the process of malaria parasite detection. We acquired 352 images of Leishman–Giemsa-stained peripheral blood smears, containing either normal red blood cells (RBCs) or parasitised RBCs. With a trial and error approach, we developed five deep learning models: (A) Naive deep convolutional neural network (DCNN) for trophozoites, (B) Modified Inception V3 pretrained neural network (C) Combination of model A and B, (D) Segmentation of cells from the images through Watershed Transform and naive tri-class DCNN (normal RBCs, parasitised RBCs, WBC/platelets), and (E) A naive DCNN model to detect ring forms. The images were randomly split into training and test sets and training was imparted on all the models. After completion of training, performance of each model was assessed on the test set. Overall, the best combination of sensitivity and specificity was seen in model D (85 % and 94 %, respectively) in detecting parasites; in addition to trophozoites, model D could also detect ring forms. The performance of model A, B & C suffered from lack of either sensitivity or specificity. The present study represents the first step towards development of a complete module for screening malaria parasites from automated microphotography/whole slide images.
Single-photon-based clock analysis and recovery in quantum key distribution

Quantum key distribution is one of the first quantum technologies ready for the market. Current quantum telecommunication systems usually utilize a service channel for synchronizing the transmitter (Alice) and the receiver (Bob). However, the possibility of removing this service channel and exploiting a clock recovery method are intriguing for future implementation, both in fiber and free-space links. In this paper, we investigate criteria to recover the clock in a quantum communication scenario and experimentally demonstrated the possibility of using a quantum-based clock recovery system in a time-bin quantum key distribution protocol. The performance of the clock recovery technique, in terms of quantum bit error rate and secret key rate, is equivalent to using the service channel for clock sharing.
An Effective Open ERP System for Automation in Financial Reporting for SMEs based on Service Oriented Architecture

Small-Medium Enterprises (SMEs) are currently in high demand and highly developed in many countries. However, several SMEs still do not yet have an information system to support their business processes. This causes the absence of a system that helps integrate data from each process and sector in SMEs. All data exchanges and transaction report generation are done manually and recorded using physical documents that reduce effectiveness and increase costs. This research uses the accounting module in Open ERP or Odoo Version 11.0 software and Service Oriented Architecture (SOA) methods to design ERP systems for general types of SMEs in the finance sector, specifically on the sales and purchase process. So the solution for recording financial transactions and making financial reports for SMEs is to design an ERP system based on Open Source using the Service Oriented Architecture methodology, namely Smart SMEs, by implementing the Automatic Reporting feature to create best practices on an integrated system, especially in recording transactions in the sales and purchase processes so that financial reports can be generated automatically and are real-time. The result of this research is the design of ERP systems in the finance section connected occurs especially in the financial recording of the purchase of goods, the sale of goods, and the creation of financial statements automatically. This system can help the finance sector record transactions and make automatic financial reports that can be generated in real-time.