Reviewerly/exHarmony huggingface dataset:
Prediksi Pemilihan Fakultas Di Universitas Pada Sekolah Menengah Atas Negeri XXX Tangerang Selatan Dengan Menggunakan Algoritma C4.5

This research was made to determine and find out the selection of faculties/departments that students will choose after they graduate.The data studied were 203 student data consisting of 169 students majoring in Science, while for Social Sciences majors there were 34 students.The method used in this research is to use the C4.5 algorithm method which can manage input values based on UN scores (national exams) for certain subjects.This standard can be measured quantitatively using the C4.5 data mining algorithm method.The application is designed to be able to analyze the grades students receive after graduation.From the existing problems, a classification method is tested by applying a decision tree model, namely using the C4.5 method.After testing, the results obtained were that when running the decision tree algorithm, the accuracy of the C4.5 prediction obtained the highest accuracy of 77.16%.
Cat-E

The increasing number of public AI-art generation tools has allowed people, including children, to be creative and bring their ideas to life. However, these AI systems could be misused by children and expose them to age-inappropriate images. In this paper, we explore how social robots could guide children as an embodied element of the AI art generation system. To investigate this topic, we examined how children conceptualize AI, observed how they use an AI-art generation system called DALL-E 2, and conducted co-design workshops to develop a social robot prototype, Cat-E. The Cat-E aims to help children generate AI art in a regulated, safe but creative way by providing prompts and leading them to generate more ethical and morally sound AI art. This study reveals that children perceive a robot as an embodied element of AI and consider it to be a reliable and unbiased source of information. We propose that social robots can play a role of a friendly guide that enables children creatively but safely utilize AI systems.
Simulating quantum photonic processes in realistic photonic integrated circuits: circuit performance analysis using non-classical source-to-detector component parametrization

The rapidly growing field of integrated photonic quantum computing has recently seen enormous breakthroughs, with integrated photonic devices capable of generating highly entangled states of photons on-chip. To scale these devices, simulation tools that model realistic sources and manufacturing imperfections are required when designing quantum building blocks that meet fidelity requirements and fault tolerance thresholds. To address this, we introduce a quantum circuit solver capable of calculating the heralded source biphoton wavefunction and corresponding frequency domain response of photonic integrated circuits in the Fock basis, yielding the fidelity of the output state and probability of success for a given measurement outcome.
Demonstration of an optimal generalized quantum measurement for binary coherent states with photon counting

Quantum mechanics allows for the realization of optimized measurements based on photon counting for the discrimination of nonorthogonal coherent states able to surpass the conventional limits of detection, such as the homodyne and heterodyne limits. Such measurements have a large potential for increasing sensitivities and information transfer in communications and for information processing. In this talk I will describe our current work in the problem of generalized measurements for coherent state discrimination. We implement an optimal inconclusive measurement for binary coherent states [1], a non-projective measurement that allows for achieving the lowest probability of error for a given rate of inconclusive results. This measurement encompasses standard measurement paradigms for state discrimination, specifically minimum error and unambiguous discrimination, and allows to transition between them in an optimal way. [1] M. T. DiMario, F. E. Becerra, Npj Quantum Inf. 8 (1), 1-8.
Experimental source separation estimation reaching the Cramér-Rao bound

We experimentally implement the separation estimation between to incoherent optical sources. Our method, relying on spatial-mode demultiplexing and intensity measurements, saturates the Cramèr-Rao bound, with a five orders of magnitude gain compared to the Rayleigh limit.
Temporal SU(1,1) interferometer

Quantum interferometers are able to improve the sensitivity of classical interferometers beyond the shot-noise limit. This is done by employing squeezed states of light and destructive interference of the noise in the system. We developed a quantum SU(1,1) interferometer in the time domain. Our nonlinear quantum interferometer creates interference of the input signals at different times and frequencies. We can control the time and frequency differences for investigating the full temporal and spectral structure of the signal. This quantum interferometer can be utilized for sensing ultrafast phase changes, quantum imaging, temporal mode encoding, and studying the temporal structure of entangled photons.
Entanglement generation in quantum-dot molecules and coupled-cavity arrays for applications in quantum repeaters and quantum reservoir computers

Multi-partite entanglement is a key resource for many applications in quantum information technologies. Based on two material platforms, we consider methods for entanglement generation. In quantum-dot molecules [1], electric-field switching is used, and we characterize the separation between adiabatic and diabatic dynamics in the realization of entangled target states. Our numerical simulations are based on the Bloch-Redfield formalism and are a key step towards the realization of fully quantum-mechanical protocol simulation. As a second platform, we demonstrate the realization of multi-partite entangled states in coupled-cavity arrays and discuss their role in novel quantum machine learning concepts like quantum reservoir computing, to which we provide some insight. [1] Schall et al., Advanced Quantum Technologies 4, 2100002 (2021).
Quantum computing with atoms

Trapped atomic ions are a leading physical platform for quantum computers, featuring qubits with essentially infinite idle coherence times and the highest purity quantum gate operations. Such atomic clock qubits are controlled with laser beams, allowing densely-connected and reconfigurable universal gate sets. The path to scale involves concrete architectural paths based on well-established protocols, from shuttling ions between QPU cores to modular photonic interconnects between multiple QPUs. Full-stack ion trap quantum computers have thus moved away from the physics of qubits and gates and toward the engineering of optical control signals, quantum gate compilation for algorithms, and software-defined error mitigation and correction. I will summarize the state-of-the-art in these quantum computers in both academic and industrial settings, and summarize how they are being used for both scientific and commercial applications.
Diffractive optical networks and computational imaging without a computer

We will discuss diffractive optical networks designed by deep learning to all-optically implement various complex functions as the input light diffracts through spatially-engineered surfaces. These diffractive processors complete their computational task at the speed of light propagation through thin, passive optical layers and have various applications, e.g., all-optical image analysis, feature detection, object classification, computational imaging and seeing through diffusers. They also enable task-specific camera designs and new optical components for, e.g., spatial, spectral and temporal beam shaping, polarization engineering and spatially-controlled wavelength division multiplexing. These deep learning-designed diffractive networks broadly impact (1) all-optical statistical inference engines, (2) computational cameras and microscopes, and (3) inverse design of optical systems that are task-specific.
Quantum dynamics and dissipation-driven formation of long-lived entangled states in strongly-coupled many-qubit systems in solid-state nanocavities

We study quantum dynamics of many-qubit systems strongly coupled to a quantized electromagnetic cavity field in the presence of decoherence and dissipation for both fermions and cavity photons, and taking into account the nonuniform cavity field and the spread of qubit transition frequencies. Analytic solutions for quantum state amplitudes and observables are derived for a broad class of open quantum systems. We show that depending on the initial state preparation, the dissipation in a cavity may drive the system into many-qubit entangled dark states that live much longer than the decay time of the cavity field.
Unidirectional bosonic quantum walk and entanglement redistribution from high-dimensional quantum states with tunable entropies

We generate high-dimensional bi-photon quantum frequency combs with tunable entropies exploiting the second-order nonlinearity of a periodically-poled lithium niobate waveguide through a novel pumping and filtering scheme. Using these quantum states with varying degrees of entanglement, we demonstrate unidirectional bosonic quantum walks, asymmetric energy transfer, and entanglement transport. Our non-maximally entangled quantum states can serve as excellent testbeds for several computational protocols. Moreover, we achieve the steering of the directionality in a scalable format, which enables a new control mechanism for quantum walks as well as novel modification means of joint probability distributions.
Panoramic ultra-high-definition augmented reality 360° color holograms as inclusive tools in transportation

Modern touch control infotainment systems in vehicles present distractions to drivers and endanger road safety. Current industrial head-up displays (HUDs) require the driver to shift the gaze from the road towards a region on the 2D windscreen. Panoramic augmented reality holographic color projections in could prevent driver distraction. This is an inclusive tool to incorporate all members of society into the transportation sector. A 4k color augmented reality holographic automotive head-up display was developed to project road obstacles in 360&deg; in the driver’s field of view. This technology could be useful for drivers, including elderly and disabled populations.
Accuracy evaluation of a new 3D photogrammetric position measurement system for 6D Printing

Additive manufacturing has a great potential for modifying optics in a way that new functions, for example individual light distributions, could be realized by modifying the optical surface. The functionalization of the curved surface by multijet modeling is the goal of the 6D printing project (6D AF) at the Center of Optical Technology, Aalen University. To combine the coordinate systems of the printing unit, the printing table and the metrology unit a new photogrammetric position measurement system is developed and presented. First results of the accuracy in three axes are show and the improvement in motion is demonstrated.
Non-contact surface profiling using optical interferometric microscopy

We report the use of non-contact optical interferometric microscopy (OIM) for surface topographic profiling. A Linnik optical configuration is used to create interferograms of an object surface. When the coherence condition between the two beams is met the phase information of the object surface can be extracted to establish its topographic contour image. Using a four-image phase-shifted algorithm with the synchronization of a piezoelectric actuator reference mirror positioning, the present single camera OIM can reconstruct a surface topography with a field of view of 312 &mu;m &times; 234 &mu;m, axial resolution of 3.31 nm, and lateral resolution of 488 nm, and an estimated maximum topography depth of 270 nm.
A polarization encoder for satellite-to-ground QKD

We report the development of an optical assembly and driving electronics for a low-SWaP polarization encoder design for use in satellite-to-ground quantum communication. The optical design multiplexes multiple lasers, which are selectively excited to produce a polarization encoded output. This implementation is intrinsically stable due to the use of only polarization maintaining fiber in the combining optics. The transmitter, provides a low-cost, low-power and high-speed platform to produce polarization encoded pulses. We use the transmitter to generate 4 polarization states with 2 intensity levels via multiplexing of 8 pulsed light sources. The module can generate the polarization states H, V, D and A, which correspond to polarization angles of 0, 90, 45 and -45 degrees respectively, forming two mutually unbiased bases. The transmitter is characterized via a polarization decoder over a free-space link within a laboratory setting. We characterize the source for varying optical channel loss which is introduced between the transmitter and receiver. The transmitter employs the T12 decoy-state BB84 protocol. We explore the performance of the system with commercially available single photon detectors for two clock rates of 500 MHz and 1 GHz. We find a similar secure key rate for both repetition rates, despite the expected 3 dB gain at 1 GHz. This is a result of detector jitter hindering the performance of the QKD system, resulting in a larger QBER when detection events leak into the adjacent time bins and ultimately reduces the secure key rate.
Individual addressing of trapped ions for UV-based quantum gate operations

With the emergence of different quantum computers approaches, ion-trapped based quantum processors offer a promising concept with coherence times of over 2 s and gate times of 10 to 80 µs with fidelities of over 99.9%. In such systems, ions are being held inside a linear quadrupole trap in defined position zones. The laser induced qubit rotation, initialization and readout operations require an ion individual addressing unit. Our hardware is able to create individual laser foci for 10 captured ions with beam waists of 1.1 µm. Qubit manipulations are realized with a laser wavelength of 396 nm employing 40Ca+ ions.
Time-reversal protocols for quantum-enhanced metrology

I discuss the time reversal of nonlinear many-body Hamiltonians and its application to the fields of quantum metrology and quantum information science. I present the experimental realization of such a protocol in an optically engineered many-body spin Hamiltonian. We used time-reversed Hamiltonian approach to achieve metrological gains well beyond the limit of the readout scheme. Moreover, with the same protocol, we experimentally elucidate the intimate relation between quantum information scrambling, out-of-time-order correlators, and metrological gain. In particular, I will highlight the robustness of time reversal protocols, and how these render many fast-scrambling and complex Hamiltonians useful for quantum-enhanced metrology.
Pedestrian dangerous action recognition in infrared image based on Resnet18 network

The effective identification of pedestrian dangerous actions at night was a core task of unmanned driving and intelligent assistant driving system. Limited by the network depth and learning ability of traditional convolutional neural network, the performance of the algorithm and its improvement were still unsatisfactory. Considering the imaging characteristics of the camera at night, this paper proposed an infrared pedestrian dangerous action recognition algorithm based on residual network to recognize pedestrian actions at night. Resnet18 network framework was adopted according to the characteristics of infrared images and the scale of problems. In order to adapt to the network input format, the infrared image in the database were preprocessed. The experimental results in the actual infrared pedestrian dangerous action dataset indicated that the mean precision of the proposed method for six types of dangerous actions was improved to 98.3%, and the average recall rate was improved to 98.1%, which was better than the traditional recognition method.
Superpixel segmentation based on image density

Superpixel segmentation can get the middle features in image processing, effectively reduce the dimensionality of the image, and is widely used in image processing fields. To get the regular and compact superpixels in real-time, a superpixel segmentation algorithm based on image density is proposed in this paper. Firstly, the image is uniformly divided according to the number of superpixels to be obtained. Secondly, to get the clustering ability of the pixels, the density image is produced. Thirdly, the seed is chosen in each sub-region block according to the density and then the superpixels are obtained by clustering. During the clustering process, the pixel around the seed should be added into the superpixel if it meets the conditions, and the small supeipixels are merged into the big superpixels around them. Finally, the result shows that the proposed algorithm has the best segmentation effect, and a good balance in accuracy, regularity, and time cost.
"A Study on Beginner to Intermediate Spanish-speaking Korean Learners' Korean Subject Usage Patterns –Focusing on the Learners' Written Corpus Analysis–"

The purpose of this paper is to inspect the subject usage patterns of Korean sentences appearing in the writings of beginner to intermediate Spanish-speaking Korean learners, and to find out aspects to be considered in how to teach Korean in order to educate them to produce natural written Korean. As a result of analyzing the Korean learners’ written corpus, in the case of the first-person subject, the pattern of subject ellipsis in a condition where subject has no recoverability was noticeable. In the case of the third-person subject, it was noticeable that the same subject was omitted without understanding the stage transition in discourse. The second-person subject was used infrequently, therefore any tendency could not be confirmed, however no special usage error was found. In order to help Spanish-speaking Korean learners to produce natural written Korean, it is necessary to enable learners to recognize the differences between Spanish and Korean that the environment in which subject ellipsis can occur in Spanish is wider than in Korean. In addition, it was suggested that the subject usage be taught by distinguishing the grammatical person of the subject. (Yonsei University)
A study on Analysis of Information Requirements to Cover with Pre-Qualification(PQ) of Equipment

As a key feature of the equipment industry, once installed, equipment must be operated for a long period of time. Therefore, high-quality equipment with high reliability are preferred. Equipment with excellent performance satisfies the requirements. Clients such as oil majors operate the ‘vendor registration and vendor list’ system. Only verified subcontractors are eligible to participate in the bidding. Accordingly, equipment makers must pass the pre-qualification (PQ) of the clients like oil majors. The information system dedicated to PQ that produces, stores, and manages various production-related reliability information required for PQ process is needed from the fields. In this paper, I focus on the requirements of information system that require research and development to cover with PQ process. I classified the information requirements with information related to quality, information related to supply history and information related to design and services. Information requirements are summarized in each classification. Based on these requirements, the design of the information system will be done. Through this, it is expected that difficulties in the equipment industry can be solved.
"A Study on Korean Modern Poetry Education based on Integrated Personal Growth Model with Process-Centered Approach -Focusing on Advanced Korean Learners-"

Advanced Korean language learners can move to the highest level of communication ability throughout the activtation of literary communication. Poetry education should help them grow by step-by-step and systematic learning activities. This paper, therefore, proposes an integrated personal growth model based on a process- centered approach for the education of advanced Korean learners. The process-centered integrated growth model helps grow learners’ inner capabilities through poetry communication activities based on learners' language skills and cultural background knowledge. As a result of applying the process-centered integrated personal growth model to advanced learners, it was confirmed that they could enjoy modern Korean poetry itself and the possibility to move forward to the growth of individual learners. (Sookmyung Women’s University)
A Study on the Analysis of De-motivation and Re-motivation Factors for Korean Language Learning among Korean Language Majors in Taiwan

In this study, the experiences of de-motivation and re-motivation in Korean language learning were investigated for Korean language students in Taiwan through questionnaire surveys and individual interviews, and the results were analyzed. As a result, the dismotivation rate of Korean language majors in Taiwan is 2.21, which can be seen as relatively low. In the analysis of demotivation factors, the academic burden factor was the highest and the factor about Korean society and culture was the lowest. The average remotivation was 3.9, which was relatively high, and in the analysis by factor, the travel orientation factor was the highest and the teacher and textbook factor was the lowest. (National Chengchi University)
Changes in Motivation, Demotivation and Re-motivation in Korean Language Learning of International Students in Korea

This study examines changes in motivation for Korean language learning among international students in Korea, using motivation charts and retrospective interviews. The results of the data analysis show that international students experienced demotivation between six and 18 months of living in Korea, but were remotivated in their third year of learning Korean. Newly discovered demotivation factors include advanced course topics in language institutions, difficulties adjusting to life in Korea during the early stages of studying abroad, taking online courses, and difficulties in learning two foreign languages simultaneously. Remotivation factors included communication with native speakers, improvements in learning conditions, and the use of out-of-class self-regulation strategies. The results of this study can be useful for programs that aim to predict and alleviate the demotivation of international students, as well as help them to remotivate. (Chonnam National University)
A Case Study on the Development and Operation of Online Korean Language Curriculum Focusing on ‘Online Korean at Yonsei Basic 1’

This study aims to show the ways for the development and operation of online Korean education courses. Due to the impact of the COVID-19 and the development of information and communication technology, the conditions and environment for language education are undergoing major changes. So, we felt the need for research on online Korean language education, especially the curriculum. In this study, we would like to examine the development process and operation plan of ‘Online Korean at Yonsei Basic 1’, an online Korean language course for beginners that is installed and operated on Yonsei University’s education platform, ‘LearnUS’. In Chapter 2, we will look at research and key concepts related to the operation of the online Korean language curriculum. In Chapter 3, we will introduce the LearnUS of Yonsei University and examine the development process and technical characteristics of ‘Online Korean at Yonsei Basic 1’. In Chapter 4, the specific operation plan of ‘Online Korean at Yonsei Basic 1’ will be presented. ‘Online Korean at Yonsei Basic 1’ operates various courses based on learner’s needs and pursues continuous and systematic management of learning through LMS. (Yonsei University)