Miracle-dz/UniFAR-FTUs huggingface dataset:
The importance of integrated relations and effective SCM for small local food producers

Local food is becoming more and more popular in Western and European countries, which creates the possibility for small local food producers to compete with the big food chains when it comes to developing, handling and distribution of certain types of products. Since quality and freshness is something that is very essential when dealing with food it is not difficult to understand that if a small local food producer is aiming to be appreciated as a serious competitor to the big food chains, quality in their products is essential. The overall main objective of this research is to look into how relations and effective supply chain management can contribute to the creation of such quality products and therefore the success of small local food producers. In order to investigate the main research question the researcher will do a qualitative case study with the Molde based small local fish and seafood producer Horsgaard & Co. The primary data for the study will be obtained from interviews and observations conducted with Horsgaard & Co, and interviews from Horsgaard & Co.’s main customers, suppliers and logistical provider. The secondary data will be derived from relevant literature that emphasizes both the local food aspect of the study and the logistical aspect. The findings found when comparing the primary data from the case study and the secondary data found in the literature are that the importance of effective supply chain management for small local food producers is essential for the success of the company in terms of delivering quality products. In order to have the ability to simplify the management of the supply chain to create the possibility for effective supply chain management, it is of great importance for the small local food producers to create good long-term relationships with their customer, suppliers and logistical providers. Shorter supply chains with fewer actors involved, actors that has developed close collaborative relationships based on trust and commitment, will diminish the possibility for obstacles and problems occurring in the supply chain, and therefore contribute greatly to the success for local food producers.
Multi-agent systems in StarCraft

The Interactive Intelligence section of the TU Delft would like to replace the game UT3 that is used in the Multi-Agent Systems project (MAS-project), which is a part of the bachelor curriculum of computer science. The game that has been selected for this purpose is StarCraft. StarCraft is called the `next challenge in AI development' by Google. To create a multi-agent system (MAS) for StarCraft, a connection is needed from the programming language GOAL to the game. During the research phase, we evaluated existing solutions and chose an API to work with. Additionally, the current MAS-project was researched. One of the biggest challenges encountered was the performance of the system. Because of the large number of agents present in the game, the agents became unresponsive. This issue was overcome by optimizing as much as possible and collaborating with the client to find solutions. We used an agile development methodology together with test-driven development which enabled us to quickly prototype the system and identify bugs as soon as possible. There were many unexpected concurrency issues due to the API in conjunction with GOAL. These issues were solved by sacrificing some performance for robustness, with careful considerations not to hurt the system. The final system that was created connects GOAL to StarCraft and is tested using a variety of unit test and coverage frameworks. The product can be used in next years MAS-project
Log4shell: Redefining the Web Attack Surface

—The log4shell vulnerability has been called one of the most significant cybersecurity vulnerabilities in recent history. For weeks after initial disclosure, companies around the globe scrambled to respond by patching their systems or by applying mitigating security measures to protect systems that could not be readily patched. There are many possible ways to detect if and where an organization is vulnerable to log4shell, each with advantages and disadvantages. Penetration testing in particular is one possible solution, though its results can be misleading if not interpreted in the proper context. Mitigation measures have varying degrees of success: Web Application Firewalls (WAFs) could be bypassed, whereas our analysis revealed that outbound network restrictions would have provided an effective protection given the rapidly evolving patch cycle. Ultimately, log4shell should change the way we look at web attack surfaces; doing so will ensure we can be better prepared for the next critical zero-day Remote Code Execution (RCE) vulnerability.
Stability Analysis in Top-Contact and Side-Contact Graphene Nanoribbon Interconnects

ABSTRACT In this paper, we have analysed the relative stability of copper, top-contact (TC) and side-contact (SC) multilayer graphene nanoribbon (MLGNR)-based interconnects for next-generation VLSI interconnect technology. We have analysed the Bode stability by varying the interconnect length (10–100 µm) at 16 nm ITRS technology node. Similar analysis has been performed by varying the interconnect width (11–22 nm) at 10 µm interconnect length. It is observed that by increasing the interconnect length (l) as well as interconnect width (w), the relative stability increases for three different types of interconnects. Our analysis shows that the copper-based interconnect shows more stability due to high gain margin and phase margin for a wide range of interconnect length (10–100 µm) as compared to the TC-GNR and SC-GNR interconnect systems. It is also observed that by increasing the wire width, the gain and phase margin of TC-GNR is higher than copper and SC-GNR interconnect. Our analysis predicts that the TC-GNR is the best candidate for interconnect modelling in terms of stability across different technology nodes considering the other benefits of TC-GNR as compared with copper and SC-GNR.
Vincent: Green hot methods in the JVM

In this paper, we show the energy efficiency of Java applications can be improved by applying Dynamic Voltage and Frequency Scaling (DVFS) inside the Java Virtual Machine (JVM). We augment the JVM to record the energy consumption of hot methods as the underlying CPU is run at different clock frequencies; after all the frequency possibilities for a method have been explored, the execution of the method in an optimized run is set to the CPU frequency that leads to the most energy-efficient execution for that method. We introduce a new sampling methodology to overcome the dual challenges in our design: both the underlying measurement mechanism for energy profiling and the DVFS for energy optimization are overhead-prone. We extend JikesRVM with our approach and benchmark it over the DaCapo suite on a server-class Linux machine. Experiments show we are able to use 14.9% less energy than built-in power management in Linux, and improve energy efficiency by 21.1% w.r. t. the metric of Energy-Delay Product (EDP). 2012 ACM Subject Classification Software and its engineering → Software performance
AIR TOUCH: Human Machine Interface Using Electromyography Signals

Novel interactions between futuristic devices and humans in the ever-expanding digital world is gaining momentum in the current era. In this paper, a system is proposed where electromyography (EMG) signals are used to control the cursor on a PC with the movement of the hand, making effortless interaction between user and the computer. The hand movements are detected using accelerometer and EMG signals acquired using electrodes are used to classify the hand gestures. Time domain features are extracted from the EMG signals and the gestures are classified using K-Nearest Neighbor (KNN) classifier. The operation to be performed on PC is determined from the gesture with help of a suitable interface. This system is implemented to perform the positioning of the cursor and two of the most common actions of a mouse, namely, single click and double click. The system showed an accuracy of 98% in classifying the gestures.
Generación automática de combinaciones de valores para pruebas funcionales utilizando metaheurísticas

Several authors agree with the importance of the tests like element of quality control of the software and in the impossibility of their realization of exhaustive way. This opinion defends that, the necessary quan-tity of stages and test values to achieve the maximum coverage is too big, what converts the test-case design, and in particular the generation of its values, in a combinatorial problem. That´s why, in many instances, in front of the impossibility of covering all the stages, testers leave out of the design some inter-esting values, which can discover inconsistencies with the specified requirements.This work presents a proposal for the automatic generation of values of functional test cases, by means of the use of meta-heu-ristic algorithms and maximizing the coverage of the stages. Furthermore, the algorithms implemented for the generation of initial values and for the generation of combinations are detailed. Additionally a set of good practices to use the component and the comparison of the obtained results with other existing solutions are described.
The fuzzy-based systems in the communication between a human and a humanoid robot

The communication between a human and a humanoid robot is a real challenge for the researchers in the field of the robotics. Despite of the progress in the acoustic modelling and in the natural languages the humanoid robots are overtaken by the humans when the humanoid robots are engaged in the real life because the speech and the human emotions are extremely ambiguous due to the noises and the external audio events from the robot’s environment. The humans assign a correct interpretation to the perceived ambiguous signal, but the humanoids robots cannot interpret the ambiguous signal. The most common software used in the interpretation of the ambiguous signal is a fuzzy based software. The artificial neuro-fuzzy inference system, shortly known as ANFIS is the emotion recognition system based on the fuzzy sets which acts as the thalamus of the human brain and it is responsible for the sensorial perception of the humanoid robot. Our goal in this work is to create the fuzzy-based sound signals software and the fuzzy-based genetic algorithm with high performance in the communication between the human and the humanoid robots which help the humanoid robots to think, to understand the human speech and the human emotions and all the ambiguous signals from the robot’s environment in a way that it is distinguishable for every humanoid robot as the human.
Students’ perceptions on bicycle facilities in campus. A case study at Universiti Tun Hussein Onn Malaysia, Johor

Increasing dependence on the private vehicles and motorised transport in the university campus have resulted in a growing traffic congestion and more demand for parking, air pollution and thus, contribute to high energy consumption. It is very necessary to encourage the use of active transportation such as cycling in campus among university students as higher education has been seen as a role model to outside community and has its own impact to community, socially and economically. The objective of this study is to identify students’ perceived current bicycle facilities in campus areas. The questionnaire in a Google Form were distributed through a social media platform (e.g. Facebook and WhatsApp) in order to avoid social interaction during pandemic COVID-19. A total of 328 respondents among postgraduate students in Universiti Tun Hussein Onn Malaysia (UTHM) was chosen to answer the questionnaire. Furthermore, data was analysed using Descriptive Analysis and Importance-Performance Analysis (IPA). The Statistical Packages of Social Sciences (SPSS) software version 26 was used to do the statistical analysis of the sample data. Results show that students perceived some of the bicycle facilities in campus that have a high level of importance value for students, are having a low-level performance, such as improper cycling paths and poor lighting at night.
A Review: GGBS as a Cement Replacement in Concrete

Numerous infrastructures have been effectual on the list with the demands of Malaysia’s economic growth due to the country’s explosive growth. As a result, demand for cement has increased, prompting one of the country’s largest cement producers to increase production. Cement production necessitates a significant quantity of finite supplies, such as stock and hydrocarbon deposit which is expected to produce 5-6 percent of all carbon dioxide greenhouse emissions. This paper emphasizes the viability of GGBS for certain value in cement, as implied by earlier studies. GGBS is a waste product deduced from the iron and steel industries. The use of GGBS as a cement replacement in concrete is desirable since it has equivalent cement fineness and cementitious properties. The specific gravity, specific surface, GGBS’s chemical composition and impact of GGBS on water absorption were discussed in this study. Replacing GGBS in concrete production reduced the highest point heat of hydration rate and time. The use of GGBS as a partial cement substitute in the range of 30% to 60% developed strength at longer hardening periods.
Frequency Analysis on Groundwater Consumption and Water Billed to the Community in Kelantan

Groundwater use in Malaysia is natural due to its high frequency. The survey study was conducted in northern Kelantan because the problem in this area is the increased use of groundwater, specially sourced from shallow aquifers among the local community. As a result, the purpose of this study is to evaluate the elements that influence the frequency of groundwater consumption and the projected expenses that the community will be responsible for paying in the state. The population of Kelantan was 1.88 million in 2019[1]. The number of people who participated in this survey is 89 people from 10 districts. Statistical Package for the Social Sciences (SPSS) manages and analyses social science data obtained from the study. Studies show that the frequency of using groundwater is high (94.4%) among the community. The cost of electricity bills is low when getting a high percentage value (98.9%) which supports the statement. The “Chi-square” test was used to determine some of the relationships studied, such as groundwater knowledge in the community, frequency of groundwater use, electricity bills charged to each home, and groundwater quality. The results show that the p-value is more effective than 0.05, referring to the relationship between groundwater knowledge and groundwater use. The p-value is also more significant than 0.5, referring to the relationship between groundwater quality and groundwater use.Meanwhile, the relationship between groundwater consumption and electricity bill, knowledge of groundwater benefits with groundwater consumption, and the relationship between groundwater color and odoris less than 0.05. With the study done, it can be proven that groundwater is very high in the community and the bills charged are very cheap and affordable. Therefore, groundwater use needs to be highlighted for its widespread use throughout Malaysia.
A Study of Traffic Congestion Influenced by the Pattern of Land Use

Traffic congestion has contributed to economic loss and increased the number of traffic accidents. Previous studies have revealed that the land use pattern in Kuala Lumpur is dispersed and leads to traffic congestion. Thus, this study is to investigate the type of land use that affect the traffic congestion in Kuala Lumpur. The data in this study was collected by using 384 design questionnaires and analysed by using descriptive analysis. The results showed that the high proportion of commercial land use causes the highest level of traffic congestion. This study makes contributions as a reference for the students to gain knowledge on how traffic congestion is influenced by the land use pattern and appropriate land use planning such as mixed-land use or grid plan are important to reduce traffic congestion.
Accurate Step Length Control Strategies for Underactuated and Realistic Series Elastic Actuated Hoppers via High Order PFL

Author(s): Terry, Patrick W. | Advisor(s): Byl, Katie | Abstract: Among the different types of legged robots, hopping robots, aka hoppers, can be classified as one of the simplest sufficient models that capture the important features encompassed in dynamic locomotion: underactuation, compliance, and hybrid features. There is an abundance of work regarding the implementation of highly simplified hopper models, the prevalent example being the spring loaded inverted pendulum (SLIP) model, with the hopes of extracting fundamental control ideas for running and hopping robots. However, real world systems cannot be fully described by such simple models, as real actuators have their own dynamics including additional inertia and non-linear frictional losses. Additionally, implementing feedback control for hopping systems with significant amounts of compliance is difficult as the input variable does not instantaneously change the leg length acceleration. The current state-of-the-art of step length control in the presence of non-steady state motions required for foothold placement is not precise enough for operation in the real world. Therefore, an important step towards demonstrating high controllability and robustness to real-world elements is in providing accurate higher order models of real-world hopper dynamics, along with compatible control strategies. Our modeling work is based on a series-elastic actuated (SEA) hopping robot prototype constructed by our lab group, and we provide verifying hardware results that high order partial feedback linearization (HOPFL) can be implemented directly on the leg state of the robot. Using HOPFL, we investigate two paths of compatible trajectory generation that can accomplish desirable tasks such as precise foothold planning. We investigate the practicality of using SLIP-based trajectory generation techniques on more realistic hopping robots, and show that by implementing HOPFL directly on the robot's leg, we can make use of computationally fast SLIP-based approximations, account for non-trivial pitch dynamics, and improve the state-of-the-art of precision step length control for SEA hoppers. We also consider control strategies towards hoppers for which SLIP-based trajectories may not be compatible, by planning all ground reaction force vector (GRF) components during the stance phase concurrently, using a lower order and very general model to construct trajectories for the system's center of mass (CoM), and maintain body stability by controlling the orientation of the GRF directly. While not purely analytical as our SLIP-based approaches, this method is general enough to work on a variety of hopping robots that are not necessarily kinematically structured resembling the classical SLIP model.
WideLeak: How Over-the-Top Platforms Fail in Android

Nowadays, most content providers rely on DRM (Digital Right Management) to protect media from illegal distribution. Becoming a major platform for streaming, Android provides its own DRM framework that does not comply with existing DRM standards. Thus, OTT (over-the-top) platforms need to adapt their apps to suit Android design, despite a fragmented ecosystem and little public documentation. Unfortunately, the security implications of how OTT apps leverage Widevine, the most popular Android DRM, have not been studied yet.In this paper, we report the first experimental study on the state of Widevine use in the wild. Our study explores OTT compliance with Widevine guidelines regarding asset protection and legacy phone support. With the evaluation of premium OTT apps, our experiments bring to light that most apps adopt weak and potentially vulnerable practices. We illustrate our findings by showing how to easily recover media content from many OTT apps, including Netflix.
Reaction: An Android Based Supplemental Learning Aid for Engineering Education

The rapid rise of the smartphone platform is changing many facets of modern life. The platform presents exciting opportunities for supplemental education. Many mobile education applications are available e.g. Duolingo, an application that helps users learn foreign languages. Yet, the use of mobile applications in engineering education is still in its infancy. The purpose of this thesis is to explore the popularity of the mobile platform as a supplemental learning aid for engineering education. This is accomplished by the creation, distribution, and analysis of a proof-of-concept mobile learning application called Reaction: Free-body Diagrams which is targeted at engineering students studying mechanical freebody diagrams. The application was developed in four months, distributed for 1 month, and evaluated by survey. Over 180 downloads (installations) have been logged, and data from 50 survey respondents collected. This data suggests that the smartphone platform is a popular option among students for supplemental engineering education.
Mobility Strategies and Academic Success within Military Families

The purpose of this narratalogical case study was to investigate the strategies military families utilize to contribute to the academic performance of highly mobile militaryconnected students. The unit of analysis was the strategies parents describe. These strategies included what is available for active duty military parents of 6 grade students that have moved three or more times. The problem addressed with this limited group of mobile military families was whether the previous duty station moves impacted the dependent child’s academic performance. The limited research on the academic performance as related to military student mobility is in dire need of being addressed. In an attempt to discover if there were successful strategies having a positive impact on academic performance as related to these transient military families the questions I answered are: (1) How do military parents describe their experiences related to family mobility? (2) What strategies do highly mobile military parents identify that assist with student academics in a variety of educational settings? (3) What support mechanisms for education do military parents receive to assist
Measurement of Short-Circuit Effects on Transformer Winding with SFRA Method and Impact Test

The paper presents theoretical and experimental analyses of a possible effect of the short-circuit forces on the transformer winding. The first part of the paper is focused on creation and activity of the radial and axial forces during a short circuit. It shows dimensions, direction and − of course − the resulting mechanical stress. The presented equation shows basic dependencies of these mechanical forces created in the transformer winding. Finally, the paper presents experimental methods of diagnosing and analysing the effects of short-circuit forces on the transformer winding.