Reviewerly/exHarmony huggingface dataset:
Vista Angkasa Apartment Management System

Vista Angkasa Apartment is one of the oldest apartments in the Bangsar South area, with a total of 8 blocks and consisting of more than 1000 units of houses. Currently, all the transaction related to the maintenance of each apartment is recorded manually. It is very difficult to manage all the data manually and if some information is required urgently then to obtain it also is very difficult. It will not only take a lot of time, but it also increases the chances of errors. Therefore, to solve the issues faced, an apartment management system that allows management staff to view the apartment’s data and tenant’s data as well as maintenance requests, notices and complaints has been developed. It also increases the efficiency and the effectiveness of Vista Angkasa Apartment Management by eliminating the current manual system. Compilation of data can be done easily with just a click of mouse. The methodology that has been applied to develop the system will be Agile with the PHP programming language. The developed system has successfully tested with the real time data at the Vista Angkasa Apartment. Based on the obtained results, the Vista Angkasa Apartment Management System solved the current issues with the management office and tenants.
Perancangan Brand Image Dan Brand Communication Produk Vegeblend 21 Junior

Abstrak Penelitian ini bertujuan untuk mengidentifikasi masalah Vegeblend 21 Junior dalam masalah membangun brand image dan brand communication. Adapun yang menjadi latar belakang penulisan ini adalah citra yang kurang baik, kurang menarik serta tidak ada pengaruh emosional branding dan komunikasinya kurang tepat. Sebelumnya, Vegeblend 21 Junior telah melakukan iklan dan promosi dari berbagai media, tetapi konsep dan visual tidak mempengaruhi konsumen untuk bertidak, sehingga belum mampu menanamkan persepsi yang baik dan mempengaruhi emosional terhadap produk Vegeblend 21 Junior. Vegeblend merupakan suplemen sayuran pertama terlengkap dengan kandungan 21 sayuran. Untuk meningkatkan nafsu makan anak, dan memenuhi nutrisi sayuran bagi anak yang pilih-pilih makanan. Vegeblend merupakan produk yang alami, tanpa pengawet, peptisida, perasa, bebas pewarna. Vegeblend nutrisi dalam satu kapsul yang bisa dicampurkan pada makanan kesukaan anak tanpa mengubah cita rasa. Kata Kunci: Vegeblend 21 Junior, brand image dan brand communication, Emotional branding Abstract This study aims to identify 21 Junior Vegeblend problems in the problem of building brand image and brand communication. As for the background of this writing is an image that is not good, less attractive and there is no influence of emotional branding and communication. Previously, 21 Junior Vegeblend had carried out advertisements and promotions from various media, but concepts and visuals did not affect consumers to act, so that they were not able to instill a good perception and emotionally affect 21 Junior Vegeblend products. Vegeblend is the first complete vegetable supplement containing 21 vegetables. To increase children's appetite, and fulfill vegetable nutrition for children who are picky about food. Vegeblend is a natural product, without preservatives, pepticides, flavorings, free of coloring. Vegeblend nutrition in one capsule that can be mixed with children's favorite food without changing taste. Keywords: 21 Junior Vegeblend, brand image and brand communication, Emotional branding.
Mobile Based Real-Time Occlusion Between Real and Digital Objects in Augmented Reality

Abstract In this paper, a mobile-based augmented reality (AR) method is presented that is capable of accurate occlusion between digital and real-world objects in real-time. AR occlusion is the process of hiding or showing virtual objects behind physical ones. Existing approaches that address occlusion in AR applications typically require the use of markers or depth sensors, coupled with compute machines (e.g., laptop or desktop). Furthermore, real-world environments are cluttered and contain motion artifacts that result in occlusion errors and improperly rendered virtual objects, relative to the real world environment. These occlusion errors can lead users to have an incorrect perception of the environment around them while using an AR application, namely not knowing a real-world object is present. Moving the technology to mobile-based AR environments is necessary to reduce the cost and complexity of these technologies. This paper presents a mobile-based AR method that brings real and virtual objects into a similar coordinate system so that virtual objects do not obscure nearby real-world objects in an AR environment. This method captures and processes visual data in real-time, allowing the method to be used in a variety of non-static environments and scenarios. The results of the case study show that the method has the potential to reduce compute complexity, maintain high frame rates to run in real-time, and maintain occlusion efficacy.
Quantum Simulation with Superconducting Circuits

Author(s): Ramasesh, Vinay Venkatesh | Advisor(s): Siddiqi, Irfan | Abstract: Nonlinear superconducting circuits are a leading candidate to implement quantum information tasks beyond the reach of classical processors. One such task, quantum simulation, involves using a controllable quantum system to study the dynamics of another. In this thesis, we present a series of experiments using small systems of superconducting circuits to perform various quantum tasks relevant to quantum simulation.In the first experiment, we design and build a circuit comprising three transmon qubits whose dynamics mirror those of interacting bosonic particles on a lattice, described by the Bose-Hubbard Hamiltonian. We verify the predictions of the Bose-Hubbard model for this system spectroscopically and then use time-domain measurements to study the decoherence processes affecting the qubits. Using a Raman process, we engineer artificial decay dynamics in the system which allow us to prepare and stabilize otherwise inaccessible states of the transmon array.The second experimental demonstration concerns topological quantum matter. Certain quantum systems are characterized by quantities known as topological invariants, which are robust to local perturbations. These topological invariants are challenging to measure in naturally-occurring systems. We engineer an artificial system, comprising a transmon qubit coupled to a high-Q cavity, capable of undergoing a protocol known as the quantum walk, which also exhibits topological invariants. By using particular non-classical state of the cavity, we modify the quantum walk protocol to make the topological invariant directly accessible.Finally, we implement a hybrid quantum-classical algorithm—known as the variational quantum eigensolver—in a two-transmon quantum processor. As a proof of principle demonstration, we compute the ground-state and low-lying excited state energies of the hydrogen molecule as a function of nuclear separation. We show that an extension of the basic algorithm, known as the quantum subspace expansion, allows for the mitigation of errors caused by decoherence processes affecting the quantum processor.
Maybe need code to recognize horizontal cell ...

Maybe need code to recognize horizontal cell in a table should stack verticaly to previous cell in annotation javascript sidebar. do worry about page weight
A General Framework for Privacy-preserving Computation on Cloud Environments

While privacy and security concerns dominate public cloud services, Homomorphic Encryption (HE) is seen as an emerging solution that can potentially assure secure processing of sensitive data by third-party cloud vendors. It relies on the fact that computations can occur on encrypted data without the need for decryption, although there are major stumbling blocks to overcome before the technology is considered mature for production cloud environments. This paper examines a proposed technology platform, known as the Homomorphic Encryption Bus (HEB), that leverages HE with data obfuscation methods over a minimal network interaction model, allowing a uniform, flexible and general approach to cloud-based privacy-preserving system integration. The platform is uniquely designed to overcome barriers limiting the mainstream application of existing Fully Homomorphic Encryption (FHE) schemes in the cloud. A client-server interaction model involving ciphertext decryption on the client end is necessary to achieve resetting of 'noisy' ciphertexts in place of a much more inefficient (server only) recryption procedure. Data perturbation techniques are used to obfuscate intermediate data decrypted on the client-side of ciphertext interactions, in a way that is unintelligible to the client. In addition to efficient noise resetting, interactions involving data perturbations also achieve plaintext (binary to integer-based and vice versa) message space swapping, and conversion of accumulated integer-based encodings to a reduced embedded binary form. There appears to be little existing literature that examines these techniques as a means of broadening HE processing capabilities and practical application over the cloud. Interaction performance is examined in terms of timing and multiplicative circuit depth costs, through a simple equation evaluation and against standard recryption.
Implementation of Speech to-Text Application for Deaf Students on Inclusive Education Course

Inclusive education is an educational services system where people with disabilities can attend to the nearest regular school of their place, included college. Persons with hearing impairment is one of the minorities who is still marginalized from the right, including the needs of access to communications and information technology. Because of that, people with hearing impairment are not able to participate in instructional activities. Based on the observation and the interview, to graduate and undergraduate students with hearing impairment of Special Education department, they said that they still have problems in communicating with lecturers or other students, because of their inability to understand the explanation of the lecturer. This paper aims at providing an analysis of using speech to text app in an inclusive education course, which can record the voice of a lecturer and converted to text that is displayed through the power point, so that, the students with hearing impairment can read the text when the learning occurred. A classroom action research with tw0 cycle is used to recognize a summary of the instructional which attended by two students with hearing impairment and twenty-eight regular students. Observation, test, and interview conducted by team teaching show that speech to text based on power point has an impact in increasing comprehension of students with hearing impairment on inclusive education course.
The concept of model rays in domain conversion

In this work, we present the concept of model rays which can be seen as the dual of image rays, but traced in time domain.We present the system of first order differential equations, which allows the numerical computation of the model rays using a velocity field in time domain.We demonstrate with a synthetic example that model rays traced with this system of equations are identical to others traced with two different methods.Among other geometrical interpretations, the model rays can be seen as the instrument to perform the time-to-depth conversion of seismic images.Time-to-depth conversion algorithms which make use of model rays are much simpler than those one based on image rays.Image rays are more suitable to perform depth-to-time conversion.
DESAIN WEBSITE PEMESANAN JASA PERAWATAN KECANTIKAN DAN PENJUALAN PRODUK KECANTIKAN PADA GONOVA BEAUTY CARE

Gonova Beauty Care is a beauty clinic that offers various types of beauty care services, consultations and beauty products, which was established on September 14, 2016. Where all transaction activities at the clinic still use the traditional process where customers must first come to the clinic. To help overcome the problem in Gonova Beauty Care, the author tries to analyze and design a new system using the system development methodology, namely the System Development Life Cycle (SDLC) method. The proposed new system is based on the website to manage transactions that occur at the clinic and can make it easier for customers to place an order. The website is designed to serve the transaction of sales of beauty products and ordering beauty services. The design of this system uses the Bootstrap application for input and output design.Keywords: Website, Gonova Beauty Care, Order Service, Selling Beauty Products
Effective Decoding in Graph Auto-Encoder using Triadic Closure

The (variational) graph auto-encoder and its variants have been popularly used for representation learning on graph-structured data. While the encoder is often a powerful graph convolutional network, the decoder reconstructs the graph structure by only considering two nodes at a time, thus ignoring possible interactions among edges. On the other hand, structured prediction, which considers the whole graph simultaneously, is computationally expensive. In this paper, we utilize the well-known triadic closure property which is exhibited in many real-world networks. We propose the triad decoder, which considers and predicts the three edges involved in a local triad together. The triad decoder can be readily used in any graph-based auto-encoder. In particular, we incorporate this to the (variational) graph auto-encoder. Experiments on link prediction, node clustering and graph generation show that the use of triads leads to more accurate prediction, clustering and better preservation of the graph characteristics.
PENGEMBANGAN LEMBAR KEGIATAN PESERTA DIDIK (LKPD) BERBASIS CONTEXTUAL TEACHING AND LEARNING PADA PELAJARAN EKONOMI SISWA KELAS X SMA

Student worksheet containing tasks that must be done by students. Student worksheet based on Contextual Teaching and Learning (CTL) was chosen to answer the demands of the 2013 curriculum which requires learning to be contextual or to link learning with real life. This study aims to produce students worksheet based on Contextual Teaching and Learning (CTL) on economic  lessons in the 10th grade of IIS SMA Negeri 2 Lamongan which is suitable for use in teaching and learning and can get good response from students. The model used in the development of the student worksheet is the 4D model (define, design, develop, disseminate). The instrument used in this study is the study sheets and validation sheets for material experts, linguist and graphis expert and students response questionnaire. The result of the average percentage of validation of economic student worksheet development from all experts were 89% with a category that was feasible. While the average student response gives a positive response to the economic student worksheet of 94% with a very good category.
An Augmented Reality-Based Training System for Manual Milling Operations

Abstract This study created an AR-based training system for manual milling machine operation. Users can operate a full-size virtual milling machine with their natural operating behavior, without additional worn or handheld devices. An Intel RealSense R200 camera was used to get the images and the depth information of the real world scenes. A Leap Motion controller was used to track user’s hand motion. Both Intel RealSense R200 and Leap Motion were mounted on an Oculus Rift head-mounted display so that users can freely walk around in the augmented environment to operate the virtual milling machine. A calibration method was developed to solve the dynamic occlusion problem in real time to increase the realism and immersiveness of the system. The system provided a safe learning-by-doing training environment, which was expected to enhance users’ learning effect and reduce accidents. User test results showed that the system was robust and helpful in improving user learning experience in manual milling machining operation.
“The Most Beautiful Area”

Chapter 2 provides a historical context for exploring core questions about the production of soundtracks in the digital age, focusing on the relationship between score and sound design and the various ways in which their functions can overlap under the influences of technology and the musical approach to soundtrack. The blurring of the line between score and sound design is examined from two different angles: one looks at scoring techniques that move the score towards the realm that is usually covered by the sound department, including ambient sound and sound effects; the other involves the musicalization of sounds that are traditionally tasked with a purely mimetic role and the creation of a “realistic” sound environment.
This why movements like #IndiWeb and #DoOO ...

This why movements like #IndiWeb and #DoOO are so important for students, own your own truth before question or shaping that of others: https://twitter.com/JamesonAPLang/status/1198193968720367617 Get
A scalable and adaptable allocation framework for heterogeneous resources in a large cluster environment

Summary Finding an appropriate resource to host the next application to be deployed in a Cloud environment can be a nontrivial task. To deliver the appropriate level of service, the functional requirements of the application must be met. Ideally, this process involves filtering the best resource from a number of possible candidates while simultaneously satisfying multiple objectives. If timely responses to resource requests are to be maintained, the sophistication of the filtering mechanism and size of the search space have to be carefully balanced. The quality of the solution will thus not readily scale with growth in cloud resources and filtering complexity. This limitation is becoming more evident with the emergence of hyperscale clouds and the increased complexity needed to accommodate the growing heterogeneity in resources. Moreover, meeting nonfunctional requirements, reflecting the Cloud Service Provider's business objects, is also becoming increasingly critical as service utilization and energy efficiency in a typical cloud deployment are extremely low. This paper proposes a re‐examination of the resource allocation problem by proposing a framework to support distributed resource allocation decisions and that can be dynamically populated with strategies to reflect the ever‐growing number of diverse objectives as they become evident in the evolving cloud infrastructure.
College student adoption of smart learning management system - Implementing Blackboard learn -

Contemporary University students are considered the Z generation who were born after 1995. They are more tech savvy than millennials. To target the generation, traditional class management platforms have evolved to smart LMS that is more customized and accessible for smart devices. Global level information search and collaboration can also be implemented using such smart LMS. However, switching from one LMS to another LMS requires great effort from teachers and support from staffs. This study measured the learners’ perception of the system when they were exposed to a new smart-LMS. Blackboard Learn Ultra was used for 15 weeks and at the end of the semester, a questionnaire was administered to the students of these classes. Results indicated that experience with previous LMS discouraged students from adopting Blackboard Learn. Result of TAM modeling indicated that perceived usefulness, compared to perceived ease of use and attitude, was an effective aspect to bring positive acceptance of the system. A qualitative approach and network analysis were also conducted based on students’ responses. Both positive and negative responses were detected. Inconvenience due to mechanical aspects was mentioned. Dissatisfaction compared to previous local LMS use was also mentioned. Mobile application and communication effectiveness were positive aspects. Revised course development and promoting how useful the system may help enhance the acceptance of the new system.
Automatic Holdings Updates in Alma

Libraries have been switching their print resources to online for many years, and the management of these electronic resources has grown increasingly complex. The formats range from ejournals and e...
WLCSSCuda: a CUDA accelerated template matching method for gesture recognition.

Template matching methods can benefit from multi-cores architecture in order to parallelise and accelerate the matching of multiple templates. We present WLCSSCuda: a GPU accelerated implementation of the Warping Longest Common Subsequence (WLCSS) pattern recognition algorithm. We evaluate our method on 4 NVIDIA GPUs and 4 multi-cores CPUs. We observe a 67-times speedup for the GPU implementation in the best case against the multithreaded CPU implementation.
Common Features of Algorithmic Approaches to Sub-word Parallelism and Torsion-free Abelian Group Decompositions

Sub-word parallelism is an effective technique for acceleration of media processing as well as some kinds of independent computations allowing parallelization. Abelian group decomposition algorithms realizing the sub-word parallelism technique are obtained. This method can be applied to distribution of boundaries within a word. The sub-words obtained in this way do not need to be of the same size in contrast with the other known optimization approaches. It makes the algorithms used quite flexible, universal and easily understandable since they can be graphically demonstrated. The main idea of such algorithms is taken from the theory of direct decompositions of torsion-free Abelian groups, which admit decompositions into indecomposable summands of different ranks.
How Can Blockchain Improve the Functioning of the Collective Management Organisations?

In the copyright domain, different elements may be represented on the blockchain: works, ownership metadata, licensing terms, remuneration and even transparency and reputation. With these characteristics, blockchains appear to help CMOs to provide their services. Relying on their databases implemented on a distributed ledger and with adequate, well-written and audited/verified smart contracts, CMOs will be enabled to better automate and standardize a multitude of their copyright-related transactions, from the autorisation of using works of their members to the quick payments of the related remuneration to the concerned members.
Upper bounds to the Holevo Cram\'er-Rao bound for multiparameter quantum metrology

We formulate multiparameter quantum estimation in the parametric and semiparametric setting. While the Holevo Cramer-Rao bound (CRB) requires no substantial modifications in moving from the former to the latter, we generalize the Helstrom CRB appropriately. We show that the Holevo CRB cannot be greater than twice the generalized Helstrom CRB. We also present a tighter, intermediate, bound. Finally, we show that for parameters encoded in the first moments of a Gaussian state there always exists a Gaussian measurement that gives a classical Fisher information matrix that is one-half of the quantum Fisher information matrix.