Reviewerly/exHarmony huggingface dataset:
Public Goods From Private Data -- An Efficacy and Justification Paradox for Digital Contact Tracing

Debate about the adoption of digital contact tracing (DCT) apps to control the spread of COVID-19 has focussed on risks to individual privacy (Sharma &amp; Bashir 2020, Tang 2020). This emphasis reveals significant challenges to ethical deployment of DCT, but generates constraints which undermine justification to implement DCT. It would be a mistake to view this result solely as the successful operation of ethical foresight analysis (Floridi &amp; Strait 2020), preventing deployment of potentially harmful technology. Privacy-centric analysis treats data as private property, frames the relationship between individuals and governments as adversarial, entrenches technology platforms as gatekeepers, and supports a conception of emergency public health authority as limited by individual consent and considerable corporate influence that is in some tension with the more communitarian values that typically inform public health ethics. To overcome the barriers to ethical and effective DCT, and develop infrastructure and policy that supports the realization of potential public benefits of digital technology, a public resource conception of aggregate data should be developed.
SIAPKAH PARA DOSEN AKUNTANSI DI PERGURUAN TINGGI VOKASI DALAM MENYAMBUT DATANGNYA REVOLUSI INDUSTRI 4.0 ?

In developing countries such as Indonesia, a large number of academics are unfamiliar with the true meaning of terms such as Big Data, Exabyte, Petabyte, Brontobyte, Artificial Intelligence, Machine Learning, Data Mining, Data Warehousing, Distributed Processing, Grid Computing and Cloud Computing. In this paper, we report the results of a survey carried out to ascertain the current level of awareness regarding Big Data among academics in Vocational College. Respondents to a questionnaire formulated for this purpose. Results of the survey seem to indicate that there is a need for multi-faceted efforts aimed at creating awareness regarding Big Data, the related technologies, challenges and future prospects.
PERANCANGAN ARCHITECTURE ENTERPRISE SISTEM INFORMASI MANAJEMEN ASET DI BAGIAN UMUM KOTA BANDUNG (Studi Kasus : SETDA Kota Bandung)

Regional Secretary (SETDA) of Bandung City is a local government agency that has the main tasks and functions to Realize Public Services and Excellent Service Personnel to support the Vision of Bandung City as the Superior City of Bandung. The Regional Secretary of the City of Bandung is currently experiencing difficulties in managing information relating to asset investment and management, so it is necessary to strive to manage information better, one form of its application is through information systems using computer-based information technology. In information technology there are three interrelated parts, namely: hardware, software, and database. Integrated information system architecture planning and in accordance with the organization's business goals is one of the efforts to improve services in a better direction so that it is able to compete with other organizations. In this study discusses the planning of information systems architecture management assets in the general section and equipment of the City of Bandung, a case study in the Regional Secretary (SETDA) of the City of Bandung. The discussion of this research is emphasized in four stages, namely: business architecture planning, data architecture planning, application architecture planning, and technology architecture planning. The results of the research conducted are the planning of information systems architecture management in the Regional Secretary of the City of Bandung, in the form of recommendations for the development of information systems architecture to support the improvement of public service performance and system integration into all parts of the organization. Keywords : Business Architecture, Data Architecture, Application Architecture, Technology Architecture, EAP
A Sexual Deviaton In Novel Kâmalaulya By Tulus Setiyadi (Sociological Review)

Kamalaulya's novel tells about various sexual deviations that often occur in society. In this novel actually contains valuable life values. The aim of this research is to describe the sexual deviations in the Kamalaulya novel. This research is a descriptive qualitative research in the form of litera
Local search for efficient causal effect estimation

Causal effect estimation from observational data is a challenging problem, especially with high dimensional data and in the presence of unobserved variables. The available data-driven methods for tackling the problem either provide an estimation of the bounds of a causal effect (i.e. nonunique estimation) or have low efficiency. The major hurdle for achieving high efficiency while trying to obtain unique and unbiased causal effect estimation is how to find a proper adjustment set for confounding control in a fast way, given the huge covariate space and considering unobserved variables. In this paper, we approach the problem as a local search task for finding valid adjustment sets in data. We establish the theorems to support the local search for adjustment sets, and we show that unique and unbiased estimation can be achieved from observational data even when there exist unobserved variables. We then propose a data-driven algorithm that is fast and consistent under mild assumptions. We also make use of a frequent pattern mining method to further speed up the search of minimal adjustment sets for causal effect estimation. Experiments conducted on extensive synthetic and real-world datasets demonstrate that the proposed algorithm outperforms the state-of-the-art criteria/estimators in both accuracy and time-efficiency.
Incremental Without Replacement Sampling in Nonconvex Optimization

Minibatch decomposition methods for empirical risk minimization are commonly analysed in a stochastic approximation setting, also known as sampling with replacement. On the other hands modern implementations of such techniques are incremental: they rely on sampling without replacement, for which available analysis are much scarcer. We provide convergence guaranties for the latter variant by analysing a versatile incremental gradient scheme. For this scheme, we consider constant, decreasing or adaptive step sizes. In the smooth setting we obtain explicit complexity estimates in terms of epoch counter. In the nonsmooth setting we prove that the sequence is attracted by solutions of optimality conditions of the problem.
THE CORRELATION OF THE TENTH GRADE STUDENT’S VOCABULARY MASTERY AND READING COMPREHENSION AT SMA NEGERI 6 TANGERANG

ABSTRACT&#x0D; The objective of this study was to determine what causes students 'anxiety about students' English speaking skills. In this study, researchers used qualitative research. For collecting and retrieving research data the researcher using questionnaire, interviews and observations. Researchers involve teachers and students. The researchers take samples in class VII. A where the researcher only took 10 students to be sampled. In this research the researchers conduct classroom observations and provide questionnaire in which students must answer from the 25 questions. The researcher also interviewed one of the English teachers who taught in the class. Here, the researchers used FLCAS to recap the results of the student's questionnaire. In the FLACS questionnaire, the researcher has found the similarities from what the teacher had said in the interview. The students were always anxious in the situations such as; when their names were called by the teacher, when they could not understand what the teacher has said, when they were asked to talk English in the classroom, when they think they will be the laugh stock of their friends as they speak in English. From the FLCAS questionnaire have also supported the findings from the observation. From the questionnaire, some of the students’ respond toward the items showed that they would be the most anxious when they were asked to perform speaking task.&#x0D; &#x0D; Keywords : Student’s Anxiety, speaking skill, speaking task
Wearable Electronic Gloves in Two-Way Communication to Convert Signs into Speech

Usual tasks such as, communicating messages and expressing feelings/thoughts, are easy for an average person with all functional organs. However, for differently abled personals day-to-day conversations are challenging. So they prefer writing down messages or making signs to communicate. The major drawback of sings is that, they can only be understood by those who are aware of the sign language. In this project, a two way communication system is introduced to convert signs to audio output using electronic gloves and speech to text using a speech-to-text converting application. Flex sensors are used to capture signs by the moments of fingers and their output is given as input to microcontroller and microcontroller’s output to speaker. Output from software which converts speech into text is given as input to microcontroller with the help of Bluetooth and LCD is used to display text from speech-to-text converter.
Free and Open Source unmanned vehicles

&amp;lt;p&amp;gt;Unmanned Vehicles (UV) are used daily for different applications around the world. However, most of the software and technologies on which they are based are closed and proprietary systems. The presentation will start by introducing the history of Unmaned Vehicle technologies, with some unknown historical info, and the different types of Unmaned Vehicles that exist. The aim of the presentation is to demonstrate the integration of free and open source systems starting from the hardware, specially the autopilot component, through some payloads and finishing with the software solutions. Different software solutions for diverse aims will be showed and compared, i.e., first the different software used to configure the UV and manage the mission and later the possible software used to manage the outputs from the mission.&amp;lt;/p&amp;gt;
Pengenalan Potensi, Budaya dan Pariwisata Kabupaten Brebes Berbasis Android Menggunakan Metode Disciplined Agile Delivery

The diversity of natural potentials and cultural traditions in Indonesia is a wealth that needs to be known and preserved. One culture that is still maintained up to now is in Brebes Regency, the Jalawastu Tradition. In addition to cultural diversity, Brebes Regency also has other potential, namely, natural tourism, historical heritage that is still preserved. From the diversity of these assets, adequate information facilities are needed in order to facilitate the wider community in recognizing the gap of Indonesia, especially in Brebes Regency which is still minimal. Efforts are made to introduce this matter is to make a container to hold that information. Android mobile-based technology was chosen as an innovation to introduce the diversity of potential and culture in a more efficient and simple way. To make this application also requires a method that can make this system can be done with a sequence of stages and the right time, so that this system can be used by the whole community and tourists.
Interpretable Foreground Object Search As Knowledge Distillation

This paper proposes a knowledge distillation method for foreground object search (FoS). Given a background and a rectangle specifying the foreground location and scale, FoS retrieves compatible foregrounds in a certain category for later image composition. Foregrounds within the same category can be grouped into a small number of patterns. Instances within each pattern are compatible with any query input interchangeably. These instances are referred to as interchangeable foregrounds. We first present a pipeline to build pattern-level FoS dataset containing labels of interchangeable foregrounds. We then establish a benchmark dataset for further training and testing following the pipeline. As for the proposed method, we first train a foreground encoder to learn representations of interchangeable foregrounds. We then train a query encoder to learn query-foreground compatibility following a knowledge distillation framework. It aims to transfer knowledge from interchangeable foregrounds to supervise representation learning of compatibility. The query feature representation is projected to the same latent space as interchangeable foregrounds, enabling very efficient and interpretable instance-level search. Furthermore, pattern-level search is feasible to retrieve more controllable, reasonable and diverse foregrounds. The proposed method outperforms the previous state-of-the-art by 10.42% in absolute difference and 24.06% in relative improvement evaluated by mean average precision (mAP). Extensive experimental results also demonstrate its efficacy from various aspects. The benchmark dataset and code will be release shortly.
Leveraging the Information Contained in Theory Presentations

A theorem prover without an extensive library is much less useful to its potential users. Algebra, the study of algebraic structures, is a core component of such libraries. Algebraic theories also are themselves structured, the study of which was started as Universal Algebra. Various constructions (homomorphism, term algebras, products, etc) and their properties are both universal and constructive. Thus they are ripe for being automated. Unfortunately, current practice still requires library builders to write these by hand. We first highlight specific redundancies in libraries of existing systems. Then we describe a framework for generating these derived concepts from theory definitions. We demonstrate the usefulness of this framework on a test library of 227 theories.
Target Tracking Algorithm Suitable for Fisheye Camera in Vehicle Environment

Abstract Moving target tracking is one of the core issues in the fields of automobile assisted driving and autonomous driving. This algorithm proposes a target tracking algorithm suitable for fisheye cameras in vehicle environment. A background point removal method based on median ordering is proposed to optimize the optical flow method to solve the problem of target scale change in fisheye camera videos. Multi-scale scaling processing for frames, tracking algorithm based on cyclic matrix structure (CSK), target tracking for multiple images after zooming, using fitting to determine the maximum corresponding value, reducing the error caused by target deformation on tracking results. The tracking test results of multiple fisheye camera videos in the vehicle environment show that the algorithm has high real-time tracking accuracy.
Sensing Fractional Power Spectrum of Nonstationary Signals with Coprime Filter Banks

The coprime discrete Fourier transform (DFT) filter banks provide an effective scheme of spectral sensing for wide-sense stationary (WSS) signals in case that the sampling rate is far lower than the Nyquist sampling rate. And the resolution of the coprime DFT filter banks in the Fourier domain (FD) is <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mfenced open="|" close="|" separators="|"><mml:mrow><mml:mn>2</mml:mn><mml:mi>π</mml:mi><mml:mo>/</mml:mo><mml:mrow><mml:mfenced open="(" close=")" separators="|"><mml:mrow><mml:mi>M</mml:mi><mml:mi>N</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:mrow></mml:mfenced></mml:math>, where <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mi>M</mml:mi></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M3"><mml:mi>N</mml:mi></mml:math> are coprime. In this work, a digital fractional Fourier transform- (DFrFT-) based coprime filter banks spectrum sensing method is suggested. Our proposed method has the same sampling principle as the coprime DFT filter banks but has some advantages compared to the coprime DFT filter banks. Firstly, the fractional power spectrum of the chirp-stationary signals which are nonstationary in the FD can be sensed effectively by the coprime DFrFT filter banks because of the linear time-invariant (LTI) property of the proposed system in discrete-time Fourier domain (DTFD), while the coprime DFT filter banks can only sense the power spectrum of the WSS signals. Secondly, the coprime DFrFT filter banks improve the resolution from <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M4"><mml:mfenced open="|" close="|" separators="|"><mml:mrow><mml:mn>2</mml:mn><mml:mi>π</mml:mi><mml:mo>/</mml:mo><mml:mrow><mml:mfenced open="(" close=")" separators="|"><mml:mrow><mml:mi>M</mml:mi><mml:mi>N</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:mrow></mml:mfenced></mml:math> to <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M5"><mml:mfenced open="|" close="|" separators="|"><mml:mrow><mml:mn>2</mml:mn><mml:mi>π</mml:mi><mml:mtext> </mml:mtext><mml:mi mathvariant="normal">sin</mml:mi><mml:mtext> </mml:mtext><mml:mi>α</mml:mi><mml:mo>/</mml:mo><mml:mrow><mml:mfenced open="(" close=")" separators="|"><mml:mrow><mml:mi>M</mml:mi><mml:mi>N</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:mrow></mml:mfenced></mml:math> by combining the fractional filter banks theory with the coprime theory. Simulation results confirm the obtained analytical results.
Substring Complexity in Sublinear Space.

Shannon's entropy is a definitive lower bound for statistical compression. Unfortunately, no such clear measure exists for the compressibility of repetitive strings. Thus, ad-hoc measures are employed to estimate the repetitiveness of strings, e.g., the size $z$ of the Lempel-Ziv parse or the number $r$ of equal-letter runs of the Burrows-Wheeler transform. A more recent one is the size $\gamma$ of a smallest string attractor. Unfortunately, Kempa and Prezza [STOC 2018] showed that computing $\gamma$ is NP-hard. Kociumaka et al. [LATIN 2020] considered a new measure that is based on the function $S_T$ counting the cardinalities of the sets of substrings of each length of $T$, also known as the substring complexity. This new measure is defined as $\delta= \sup\{S_T(k)/k, k\geq 1\}$ and lower bounds all the measures previously considered. In particular, $\delta\leq \gamma$ always holds and $\delta$ can be computed in $\mathcal{O}(n)$ time using $\Omega(n)$ working space. Kociumaka et al. showed that if $\delta$ is given, one can construct an $\mathcal{O}(\delta \log \frac{n}{\delta})$-sized representation of $T$ supporting efficient direct access and efficient pattern matching queries on $T$. Given that for highly compressible strings, $\delta$ is significantly smaller than $n$, it is natural to pose the following question: Can we compute $\delta$ efficiently using sublinear working space? It is straightforward to show that any algorithm computing $\delta$ using $\mathcal{O}(b)$ space requires $\Omega(n^{2-o(1)}/b)$ time through a reduction from the element distinctness problem [Yao, SIAM J. Comput. 1994]. We present the following results: an $\mathcal{O}(n^3/b^2)$-time and $\mathcal{O}(b)$-space algorithm to compute $\delta$, for any $b\in[1,n]$; and an $\tilde{\mathcal{O}}(n^2/b)$-time and $\mathcal{O}(b)$-space algorithm to compute $\delta$, for any $b\in[n^{2/3},n]$.
Towards Secure Internet of Things

Internet of Things (IoT) has transformed the network into a new pathway by connecting the surrounding smart objects to enable smart services that act spontaneously. The connection between these objects is contributing to shaping a new data-driven society. The IoT network is an open-access network, where the individual users not only use the services offered but also contribute their devices to support IoT applications. Deploying IoT applications on this open network is vulnerable to various security attacks and privacy issues. The existing techniques that protect the IoT application and data within the IoT network are based on a centralized architecture that is prone to tampering. Thus, securing the IoT applications and data is still an open challenge. Blockchain, based on decentralization principles, and tamperproof distributed ledger can be helpful to strengthen the security of IoT. The secure cryptographic primitives on an immutable digital ledger in blockchain are nearly impossible or very difficult to alter. Such tamperproof ledgers can make IoT environment more secure, where network security assurance is more challenging due to limited resources in IoT devices and the huge scale and distributed nature of IoT network. On the other hand, blockchain technology has high computational overhead, excessive bandwidth consumption, and computation delay. It is still an open research challenge to understand the tradeoffs of using blockchain technology in securing IoT applications. As such, in this work, we review the current state-of-the-art solutions in securing IoT applications, using blockchain. Besides, we discuss challenges and open issues that need to be addressed to secure IoT applications by utilizing blockchain technology.
Making of Thinkgather.com As Collaborating and Networking Media for Researchers

This paper considers reasons why the number of scientific publications produced in Indonesia remain low in comparison to other countries, as is the number of scientific researchers. These issues are caused by many factors, including the fact that researchers often experience difficulties in obtaining references to both books and journals that support their research, and secondly that researchers find it difficult to find research partners who have scientific similarities and interests in one research topic. The purpose of this study is to answer the above problems through the design and development of an application called thinkgather.com, an interactive medium for researchers. One of the advantages of this application is being able to connect between one researcher and another researcher in one social media. This research was designed to have 3 stages of research, namely the preliminary study and data collection stage, the planning and building stage, the limited scale trial stage. It is expected that the thinkgather.com application can become a means of researchers as a media discussion and facilitate researchers in finding partners in the research that will be carried out.&#x0D; Keywords: Application, Researcher, Thinkgather.com, Social Media
The lexical access of multiple words during a single fixation: overlapping access processes?

Since it has become increasingly difficult to tease apart the predictions of serial and parallel models of eye movement control during reading, we return to the underlying theoretical question of whether parallel lexical processing of two words is, at the very least, psychologically plausible. Two horizontally aligned letter strings were presented simultaneously on a screen, the task being to decide whether they were physically identical or not. Even with presentation durations short enough to prohibit serial inspection of each word, the results show clear lexical effects: high frequency word pairs were responded to faster and with fewer errors than low frequency words. Effects of lexicality, orthography and scanning direction were also found. The results suggest that two words can be processed at a lexical level in an overlapping fashion.
Analysis and implementation of algorithms for similarity matching of concepts in conceptual maps

Conceptual maps are graphical tools that represent the relations between concepts. They are useful for learning, assessment, organization and representation of knowledge by assisting in the retention and retrieval of information during the learning process. Therefore, they are used in the most different purposes. However, there are difficulties in comparing conceptual maps referring to the syntax and semantic of the concepts used. This work aimed to implement, analyze and qualify algorithms for similarity comparison of concepts present in conceptual maps.