Reviewerly/exHarmony huggingface dataset:
Library Guides: How to Archive Tweets using TAGS: Twitter

A guide exploring the use of TAGS via a Google Sheet to capture recent Twitter data, and explore options for text analysis and visualizations.
D’ iN Luggage / Muhammad Ridzauddin Ridzwan

Travel is an important aspect where travelers cannot simply ignore the role of luggage.Before beginning our travel, it is important to think about the right luggage necessary to keep all the needs of the traveler. Your Destination Enterprise is my company name develops D'iN Luggage which is a short version of Duo in Luggage. This product comes with lots of specialties to make the luggage easier for travelers to use and different from any luggage because this product is designed with modern and advanced technology. Figure 1 below shows the logo of my company. Basically, this product is a friendly user product that helps people save time and energy. It will ease and minimize the time for people who are always busy. D'iN Luggage is a technological innovation product used by people to travel. It is a luggage that is built with multifunctional technology and safety devices. This product includes the most innovative and multifunctional technology system developments. It is very convenient to use for all users, especially travelers who will be on short trips or holidays.
The bauxite mining site at Gove, Northern Territory

Research School of Physical Sciences, Applied Mathematics - Prof. Barry William Ninham, Dr. Stephen Hyde, Dr. Will Price, Dr. Roger Horn, Dr. Hugo Christenson, Dr. Jacob Israelachvili, Dr. Scott Rashleigh, Dr. Stephen Timothy Hyde, Rebecca Lundy, Hayley Jones, Prof. Carver, Prof. Le Couteur & others
Graphene Optoelectronic Artificial Intelligence Accelerators

We present a graphene-based optoelectronic artificial intelligence accelerator using spatial light modulators and photodetectors, design a method of performing accurate calculations using imperfect components, and show the system capability of accelerating a few representative algorithms.
Synergy Sdn. Bhd. : Technology-Based Business Idea Blueprint Report (Smart Shoe) / Siti Zuraida Rusli

In this modern era, technology has widely used in human life to make their work easy and it is improving day by day. Besides, through the marketing process, the entrepreneur always making the technology available with new innovative good. Synergy Sdn. Bhd. has produced a technology-based product called Smart Shoe that provides a security emergency alarm to help the people who are in danger. This shoe can solve the woman's problem by providing the security emergency alarm that is located in the shoe. When the women are in danger, they just have to press the button on the shoe and the shoe will make the alarm sound. By using this shoe will helps women feel safer to walk alone or by a group. Our company’s target market is women who are live around Pulau Pinang. We have estimates that the potential customer is half of the total population in Pulau Pinang and the target market for these shoes is 2.5% from the potential customers.
PENINGKATAN HASIL BELAJAR MATEMATIKA SISWA PADA SUB POKOK BAHASAN KUBUS DAN BALOK DENGAN PENERAPAN MODEL PEMBELAJARAN CONCEPTUAL UNDERSTANDING PROCEDURES DI KELAS IX-B SMP NEGERI 2 TANTOM ANGKOLA

The problem in this study is the low learning outcomes of students in the sub-topic of cubes and blocks in class IXb of SMP Negeri 2 Tantom Angkola, to overcome this problem in this study the application of the Learning Model Conceptual Understanding Procedures. This research is a classroom action research, The results showed that by applying the Conceptual Understanding Procedures Learning Model, the results of the initial test showed that the lowest score was 45 and the highest score was 80. study completeness requirements) as many as 14 people (58.33%). And the mean value of the initial test score was 59.79. After giving the action in the first cycle, it was obtained an increase in student learning outcomes with a class average of 68.12. In the first learning outcomes test, it can be seen that 21 students (87.50%) have completed their studies and 3 students (12.50%) have not completed their studies. Based on the results of the research, it can be concluded that there is an increase in student learning outcomes on the sub-topic of cubes and blocks with the application of the Conceptual Understanding Procedures Learning Model in Class IXb of SMP Negeri 2 Tantom Angkola.
Fundamentals Of Entreprenurship (ENT300) Business Plan ZMS Hipster Pomade Enterprise / Muhamad Zubair Mad Sam

ZMS Hipster Pomade Enterprise offers pomade product to syle hair for customer,provide variety of pomade like apple,vanilla and mix berries with good quality and affordable price. Our company more focusing kedah as market potential because that was the owner place which is easy to get customer to buy the product.In addition, customer can reach the company easily to complain or give feedback about our product. Target market for our business pomade is male.It because our product is made for male either kids,teenager or old man that interested to sytle their hair. ZMS Hipster Pomade competitive advantages are long lasting product which can use up to 12 hours when use it. Next is pomade that our company is made is from fruit ingredients with a good smells that made this product special rather than other product. Moreover,our pomade is affordable price which is cheap than other top brand that cannot afford by customer with lower income,but with our pomade they can get product high quality with low price.
Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract)

Domain Invariant Representations (IR) has improved drastically the transferability of representations from a labelled source domain to a new and unlabelled target domain. Unsupervised Domain Adaptation (UDA) in presence of label shift remains an open problem. To this purpose, we present a bound of the target risk which incorporates both weights and invariant representations. Our theoretical analysis highlights the role of inductive bias in aligning distributions across domains. We illustrate it on standard benchmarks by proposing a new learning procedure for UDA. We observed empirically that weak inductive bias makes adaptation robust to label shift. The elaboration of stronger inductive bias is a promising direction for new UDA algorithms.
Decided to keep the smartphone out of ...

Decided to keep the smartphone out of our bedroom and keep a note book instead. Already feeling lighter and fresher.
Image Classification using Functional Analysis and Neural Networks

In this thesis a number of methods for image classification are investigated. The main goal is to explore an approach based on functional data analysis and compare it with Neural Networks. The main idea is to view each image as a function and then capture the most important variation of each image class through Functional Principal Component Analysis. For comparing the methods the cifar10 dataset is used, which consist of 60000 32x32 rgb images with 10 different classes. Results indicate that the functional approach works, yielding an accuracy of 31%, where a standard Neural Network had an accuracy of 29%. A Neural Network trained on the Principal Component scores performed at 34\%. However the Convolutional Neural Networks still outperformed all other methods with an accuracy of 45% when using 1D convolutions and 66% when using 2D convolutions. Lastly some possible possible improvements of the functional approach is discussed and areas for future research. (Less)
A Study On Grammatical Errors In Writing Descriptive Text Made By The First Year Students Of Smp Islam As-Shofa Pekanbaru

Abstract: This research is aimed to find out the types of grammatical errors inwriting descriptive text made by the first year students of SMP Islam As-ShofaPekanbaru. This is a quantitative descriptive research. The population of thisresearch were the first year students of SMP Islam As-Shofa Pekanbaru. Thesample of this research was 25 students of 7.5 class who have been selected usingcluster-sampling technique. The data were collected by using writing test 1 andwriting test 2. The data were analyzed by applying the rules of Corder (1974)through three raters. The findings of this research revealed that the students made190 errors from the total frequency of writing test 1 and writing test 2. Thosegrammatical errors were classified into four types which belong to SurfaceStrategy Taxonomy, they are omission (25%), addition (13%), misformation(48%), and misordering (11%). Those grammatical errors are caused by thepresence of intralingual transfer and interlingual transfer. Based on the findings,there were some recommendations given to the students to minimize thegrammatical errors that will occur such as improve their skills in writing Englishwith do more practice to write a text and understand to the grammar used.Keywords: Error, Writing, Descriptive Text
TeleGate: Multi-user Semi-teleportation for Remote Collaboration in Mixed Reality 360-Videos

&lt;p&gt;&lt;b&gt;Telepresence systems enable people to feel present in a remote space while their bodies remain in their local space. To enhance telepresence, the remote environment needs to be captured and visualised in an immersive way. For instance, 360-degree videos (360-videos) shown on head-mounted displays (HMDs) provide high fidelity telepresence in a remote place. Mixed reality (MR) in 360-videos enables interactions with virtual objects blended in the captured remote environment while it allows telepresence only for a single user wearing HMD. For this reason, it has limitations when multiple users want to experience telepresence together and naturally collaborate within a teleported space. &lt;/b&gt;&lt;/p&gt;&lt;p&gt;This thesis presents TeleGate, a novel multi-user teleportation platform for remote collaboration in a MR space. TeleGate provides "semi-teleportation" into the MR space using large-scale displays, acting as a bridge between the local physical communication space and the remote collaboration space created by MR with captured 360-videos. Our proposed platform enables multi-user semi-teleportation to perform collaborative tasks in the remote MR collaboration (MRC) space while allowing for natural communication between collaborators in the same local physical space. &lt;/p&gt;&lt;p&gt;We implemented a working prototype of TeleGate and then conducted a user study to evaluate our concept of semi-teleportation. We measured the spatial presence, social presence while participants performed remote collaborative tasks in the MRC space. Additionally, we also explored the different control mechanisms within the platform in the remote MR collaboration scenario. &lt;/p&gt;&lt;p&gt;In conclusion, TeleGate enabled multiple co-located users to semi-teleport together using large-scale displays for remote collaboration in MR 360-videos.&lt;/p&gt;
Business Model Canvas : Vaclower D312 / Luqman Afiq Mohd Adnan

According to the BMC, this Vaclower D312 is a multifunctional product that can do wet/dry vacuum and also blow dust and debris. This will absolutely save customers’ spending because they do not have to spend more to buy three separate products to do allof the above tasks.Other than that, this product is also small in size and mobile in which will make it easier to be carried around anywhere. Most of the vacuum cleaners in the market are big in size and also heavy. The user needs to use more workforce just to carry the big and heavy vacuum cleaner. Thus, it will cause the user to experience exhaustion due to carrying the vacuum cleaner. With Vaclower D312, the user does not have to use more workforce to carry it around. In fact, the user can use the vaclower in a small space that limits movement when using the old version of multifunctional vacuum cleaner.
English Education Students as Pre-Service English Teachers’ Perception on Quizizz: Considering Mall Utilization as a Pedagogical Tool

Quizizz is a new way of learning and studying. It is an e-learning web-app that enables teachers to create and share flashcards, quizzes, and videos with students. Together with the increase of mobile technology used in various disciplines, including language learning which is known as MALL or Mobile-Assisted Language Learning, teachers have a lot of new things to explore in order to build an effective teaching-learning activity. By the trends of MALL and the new era of teaching-learning style, the researchers aim to identify the perception of English Education Students as a pre-service English teacher on Quizizz in considering MALL as their pedagogical tool to teach as a 21st-century teacher. In order to do so, the researchers will conduct a survey with a questionnaire and interview to the students of English Education in the seventh semester. The result of the questionnaire and interview will be used to gather the information to be analyzed in this research.
Why do Gradient Methods Work in Optimization and Sampling

Author(s): Chatterji, Niladri Shekhar | Advisor(s): Bartlett, Peter L.; DeWeese, Michael R. | Abstract: Modern machine learning models are complex, hierarchical, and large-scale and are trained using non-convex objective functions. The algorithms used to train these models, however, are incremental, first-order gradient-based algorithms like gradient descent and Langevin Monte Carlo. Why and when do these seemingly simple algorithms succeed? This question is the focus of this thesis. We will consider three problems. The first problem involves the training of deep neural network classifiers using the logistic loss function with gradient descent. We establish conditions under which gradient descent drives the logistic loss to zero, and prove bounds on the rate of convergence. Our analysis applies for smoothed approximations to the ReLU activation function, such as Swish and the Huberized ReLU, proposed in previous applied work. We provide two sufficient conditions for convergence. The first is simply a bound on the loss at initialization. The second is a data separation condition used in prior analyses.The second pertains to the problem of sampling from a strongly log-concave density. We provide an information theoretic lower bound on the number of stochastic gradient queries of the log density needed to generate a sample. Several popular sampling algorithms (including many Markov chain Monte Carlo methods) operate by using stochastic gradients of the log density to generate a sample; our results establish an information theoretic limit for all of these algorithms. The final problem involves sampling from a distribution whose log-density is non-smooth. We show that a slight modification of the Langevin Monte Carlo algorithm can be used to generate samples from such distributions in polynomial-time. We also provide non-asymptotic guarantees on the rate of convergence of this algorithm.
Superradiant and subradiant light emission from entangled free electrons

We show how quantum correlations such as entanglement give rise to a new quantum regime of superradaince and subradiance from free-electrons, demonstrating that light emission can be sensitive to the quantum state of many-body wavefunctions.
Secure Elastic Cloud Resource Access in SPI Transactional Database Using out of Band Secure Mechanism

Security is the major issue in cloud computing that connects electronic media of diversified location. It is accessed by the privileged and authenticated user as the recent cloud computing trends proceeds towards server access which make the security concept more vital. Another factor considered in cloud access is the cloud virtualization that entirely depends on server along with the concept of distributed computing. This work focus on cloud authentication mechanism using Out of Band (OoB) mechanism that is used in cloud SPI model. In order to make the authentication mechanism stronger the proposed method takes the challenge of handling storing authentication mechanism for SPI cloud model instead of using two phase authentication model.
NH Smart Sensor Bottleblender / Nadzatul Hajar Mhd Nizam

Nowadays, people are very concerned about their own health despite having a busy life. Due to that busy schedules and activities, they do not have time to keep track of their daily dietary intake. The nutrients that should be needed and should be out are not been detected henceforth concern a lot of people. Therefore, we have produced a product that can relief everyone’s problem and bring comfort with the name ‘NH BottleBlender’. It has a high technology to detect nutritional food value and more technologies. The company is established in January 2020 and focuses on target customer with certain age of 18 to 40 years old in the working age group which is workers and students. The company is a partnership company that manufacturers are located in Kuala Lumpur. At the beginning of business, we will concentrate states in Malaysia and slowly expand. Marketing will be made through social e- commerce, social media, flyers, retail stores and websites. NH BottleBlender is a new product that can improve our lifestyle in a better way and a great investment for individuals that really take care of their own health but needs to save time. It is light which can be carried everywhere and anywhere whilst with various colours and high-quality components. The prediction of total market size for three years is consistent by 45% where it will rise more in the future, although the market share and sales will grow by at least 0.000100% for within three years. In this company, it is a partnership with the every partner contributed a certain amount of capital which are Nadzatul Hajar as a General Manager, Nuraiman Khaliesah as Financial Manager, Syafiqa Emylyana as Administrative Manager, Muhammad Amirul as Marketing Manager and Muhammad Adam as Operation Manager. Each partner has its own obligations where all partners are expected to plan and manage the department's operations wisely.
SMS based Curfew Monitoring System for Detecting Minors from a Facial Database to Aid the Local Government Unit Using Image Processing

The Manila City Government just recently implemented a city ordinance of strict implantation of curfew for minors. Upon conducting interviews, the researchers found out that the system of implementation of curfew uses manpower and barangay patrol roaming around the barangay. This study aims to develop a curfew monitoring system using Image Processing with notifying features via SMS. LBPH (or Local Binary Pattern Histogram) algorithm is implemented in the study. The system was successful in recognizing faces that are registered to the system. The challenge that the researchers encountered was the range of facial recognition is limited. People that are far away cannot be recognized by the system. Also, that the face should be facing the camera. Having any angle with the camera will make the % confidence of the recognition lower. The system has great recognition with the face facing directly at the camera with 15 degrees tolerance.
Blueprint : JJ Sdn. Bhd. “Smart Drainage Filter” / Nurul Ain Najihah Rozainal

JJ Sdn. Bhd. was established in 2020 is proudly presenting the latest innovation technology invention which is Smart Drainage Filter. The innovation is mainly about advance modified version of existing drainage grates which is made from steel and also concrete. Those two products was usually used in this country especially in the construction industry or even real estate developer. Knowing this, it is found that the drainage grates is one of the products that can be easily commercialize in this country, Malaysia.This product is unique, compatible, convenient and simpler to use since it have the feature that no any other previous product had before. It can filter out waste not only the big one but also the small wastage like cigarette butt. The function of this product are more efficient and faster to clean the waste that already filter out from clogging the drain and can avoid from flood happened. Another feature that not on any previous product is the design or the shape is look like a drain but its function is to let the water or rain flow easily to the drain and trap the waste on top of the Smart Drainage Filter
Improving the robustness of decision trees in security-sensitive setting

Machine learning is used for security purposes, to differ between the benign and the malicious. Where decision trees can lead to understandable and explainable classifications, an adversary could manipulate the model input to evade detection, e.g. the malicious been classified as the benign. State-of-the-art techniques improve the robustness by taking these adversarial attacks into account when building the model. In this work, I identify three factors contributing to the robustness of a decision tree: feature frequency, shortest distance between malicious leaves and benign prediction space, and impurity of benign prediction space. I propose two splitting criteria to improve these factors and suggest a combination with two trade-off approaches to balance the use of these splitting criteria with a common splitting criterion, Gini Impurity, in order to balance accuracy and robustness. These combinations allow building robuster models against adversaries manipulating the malicious data without considering adversarial attacks. The approaches are evaluated in a white-box setting against a decision tree and random forest, considering an unbounded adversary where robustness is measured using a L1-distance norm and the false negative rate. All combinations lead to robuster models at different costs in terms of accuracy, showing that adversarial attacks do not need to be taken into account to improve robustness. Compared to state-of-the-art work, the best approach achieves on average 3.17% better accuracy with an on average lower robustness of 5.5% on the used datasets for a single decision tree. In a random forest the best approach achieves on average 2.87% better robustness with a 2.37% better accuracy on the used datasets compared to the state-of-the-art work. The state-of-the-art work does not seem to affect all of the identified factors, which leaves room for even robuster models than currently existing.
Using WordNet Synonyms and Hypernyms in Automatic Topic Detection

Detecting topics by extracting keywords from written text using TF-IDF has been studied and successfully used in many applications. Adding a semantic layer to TF-IDF-based topic detection using Wor ...
Perancangan Perencanaan Layanan Sistem Informasi Studi Kasus Unit B.A.U (Biro Administrasi Umum) di STMIK dan Politeknik LPKIA

General administration bureau has the main task and function of preparing a plan, coordinating, directing and evaluating the implementation of activities in it as well as formulating technical policies in the fields of administration, governance, staffing and equipment based on legislation that applies as work guidelines. The General Administration at STMIK & Politeknik LPKIA is not only a center for administrative services, but also includes seven other important functions. Seeing the many functions that are so vital, the existence of a reliable information system service becomes inevitable. In developing and planning information systems in the General Administration. This study uses the Enterprise Architecture Planning method to document every part that focuses on business processes, data, applications and technology. The application of the User Generated Content method is also expected to reduce repetitive processes that cause waste of resources. The final result of this study is to produce an Integrated Information System that suits the needs of the institution, can contribute to the efficiency of costs and resources used, and produce an integrated information system service plan master plan that can be a reference for developing the current system.Keyword — General Administration, Enterprise Architecture Planning, User Generated Content, Masterplan.