Miracle-dz/UniFAR-FTUs huggingface dataset:
The Application of Neural Network on The Contingency Analysis of Iraqi Super Grid Network

Many of the problems that occur on electrical power system can cause serious trouble with in such a quick time period that the operator (in control room) could not take action fast enough. This is often the case with cascading failures. Because of this aspect of power system operation, modern operation computers are equipped with contingency analysis programs that model possible system troubles before they arise. Therefore, this work has developed an Artificial Neural Network technique to alarm the operators in control room to any outage in power system elements (Generating unit or Transmission line) depending upon the results of AC load flow after each separation in these elements. The aim of this work is to improve the database system of Iraqi Control Centers by adopting the facility of the Artificial Neural Network (ANN) technique to identify the transmission line or the generation unit separate’s in the electrical network. The work comprises four major parts which are; the development of the load flow program using Newton-Raphson Method, building the structure of Neural Network program (Radial Basis Function Neural Network), the engagement between the two programs, and the development of Visualization Technique for presenting the results via using Matlab language (Version 6.5). After the Engagement between the Visualization and other programs, the network under consideration (Iraqi Super Grid Network 400Kv) was studied and analyzed.
MODELLING VIBRATIONAL NOISE FOR SONAR ARRAYS MOUNTED TO A CYLINDRICAL PLATFORM

In recent years there has been considerable interest in conformal hull arrays for passive sonar surveillance at low frequency. Conformal array designs potentially offer large horizontal and vertical aperture without compromising the streamlined form of the vessel and without the mechanical complexity and deployment issues associated with off-board or towed arrays. However they present considerable challenges to the sonar engineer from the point of view of isolating the sensors from platform-borne noise.
Microbial dynamics during various activities in residential areas of Lahore, Pakistan

© 2015, Pakistan Agricultural Scientists Forum. All rights reserved. Bioaerosols are ubiquitous in the atmosphere with their levels affected by a variety of environmental factors as well as type of activities being carried out at any specific time. The present study investigated how indoor activities influence bioaerosol concentrations in five residential houses of Lahore. Agar coated petri plates were exposed face upwards for twenty minutes in kitchens and living rooms during activity and non-activity periods. The temperature and relative humidity levels were noted as well. The bioaerosol concentrations in kitchens during the activity time ranged between 1022 to 4481 cfu/m3 and in living rooms from 1179 to 3183 cfu/m3. Lower values were observed during non-activity periods. A paired-t test revealed a significant difference in bacterial loads during activity and non-activity times in both micro-environments (p = 0.038 in kitchen and p = 0.021 in living room). The predominant species identified were Micrococcus spp. , Staphylococcus spp. , and Bacillus spp. which are a common constituent of the indoor environment and are known to be opportunistic pathogens as well.
Aktive Sekundärmaßnahmen zur Vermeidung von fahrzustandsabhängigen Geräuschen in hydraulischen Lenksystemen

In hydraulic power steering systems of motor vehicles, often unintended acoustic phenomena can result from certain driving situations. The acoustic phenomenon known as “rattling” is generated by impacts on the steering cylinder, if the car rides over bumps, kerb stones or similar obstacles. In special friction conditions between tyre and road surface during parking, a phenomenon called “shuddering” occurs and leads to strong vibrations. These are audible by the driver as noise, and sensory through shaky steering wheel torque. In this PhD thesis the reasons for rattling and shuddering are analysed. The design of two test benches afford easy access to the steering systems ́ components and allow measurement equipment to be easily installed. Furthermore, the development of simulation models are used to study different hydraulic line designs of the steering system. With the simulation models, physical data can be calculated, which can not be measured at the test benches. A comparison between measured and simulated data then verifies the simulation models. To evaluate measured and simulated data of different hydraulic line designs, characteristic numbers are calculated and compared. Active components, to eliminate both phenomena, are worked out systematically and structured in a matrix of principle solutions. The choice of an intelligent switch element out of the matrix leads to the design of three prototype valves, which are installed in the hydraulic lines of the power steering system and analysed at the two test benches. Characteristic numbers of the three valve lines are calculated and compared to the hydraulic line of the series. With the designed valve lines the rattling and shuddering problem can be solved. Inhaltsverzeichnis Seite I Inhaltsverzeichnis I
Study of a Toroid: Characterization and Simulation of the Effects of Short-circuits on Laminated Cores

This article presents the modeling of a transformer with toroidal core having short-circuited loops around a fraction of the core's magnetic section. Equations for magnetic circuits are used associated with hysteresis and dynamic losses models and parameters obtained by experiments. Dynamic losses were considered through the use of classical equations involving eddy currents while the excess losses were modeled by Bertotti's model. Hysteresis was considered by the Inverse Jiles-Atherton model. Effects of short-circuited coils on B-H loci are shown by simulation and measurements.
Influencing Financial Decisions on Energy Efficiency: Six Key Strategies to Build Management Support

One of the most common skill gaps amongst energy efficiency practitioners is their ability to successfully develop and promote business case proposals for energy efficiency projects. This paper describes an Australian research and capacity building project (‘The Business Case and Beyond’) that was designed to address this gap. The project involved industry workshops and interviews with leading energy efficiency practitioners. The key research question was: What do effective practitioners do to improve the likelihood that business case proposals for energy efficiency projects will be successful? The findings were documented in over 30 company and project-level case studies. Key success factors that were identified included linking energy efficiency projects to current business priorities and communicating with decision-makers early in the business case development process to build their knowledge and support for the project. This paper describes the research project and its outcomes with reference to quotes and case studies from organizations that use a significant amount of their energy in buildings. An important conclusion was that the process for developing a business case proposal can be as important as the content of the proposal. The potential use of the project outcomes by practitioners, education and training professionals, government policy makers and program managers is discussed together with considerations for future research.
Ultra-low Voltage Digital Circuits and Extreme Temperature Electronics Design

Certain applications require digital electronics to operate under extreme conditions e.g., large swings in ambient temperature, very low supply voltage, high radiation. Such applications include sensor networks, wearable electronics, unmanned aerial vehicles, spacecraft, and energyharvesting systems. This dissertation splits into two projects that study digital electronics supplied by ultra-low voltages and build an electronic system for extreme temperatures. The first project introduces techniques that improve circuit reliability at deep subthreshold voltages as well as determine the minimum required supply voltage. These techniques address digital electronic design at several levels: the physical process, gate design, and system architecture. This dissertation analyzes a silicon-on-insulator process, Schmitt-trigger gate design, and asynchronous logic at supply voltages lower than 100 millivolts. The second project describes construction of a sensor digital controller for the lunar environment. Parts of the digital controller are an asynchronous 8031 microprocessor that is compatible with synchronous logic, memory with error detection and correction, and a robust network interface. The digitial sensor ASIC is fabricated on a silicon-germanium process and built with cells optimized for extreme temperatures. This dissertation is approved for recommendation to the Graduate Council. Dissertation Director: Dr. Jia Di Dissertation Committee: Dr. H. Alan Mantooth
The Invisible Han: How Evaluation Guides AI Research

EVALUATION SHOULD BE A MECHANISM OF PROGRESS BOTH WITHIN AND ACROSS AI RESEARCH PROJECTS. FOR THE INDIVIDUAL, EVALUATION CAN TELL US HOW AND WHY OUR METHODS AND PROGRAMS WORK, AND SO TELL US HOW OUR RESEARCH SHOULD PROCEED. FOR THE COMMUNITY, EVALUATION EXPEDITES UNDERSTANDING OF AVAILABLE METHODS AND SO THEIR INTEGRATION INTO FURTHER RESEARCH. IN THIS PAPER, WE PRESENT A FIVE STAGE MODEL OF AI RESEARCH AND DESCRIBE GUIDELINES FOR EVALUATION THAT ARE APPROPRIATE FOR EACH STAGE. THESE GUIDELINES, IN THE FORM OF EVALUTION CRITERIA AND TECHNIQUES, SUGGEST HOW TO PERFORM EVALUATION. WE CONCLUDE WITH A SET OF RECOMMENDATIONS THAT SUGGEST HOW TO ENCOURAGE EVALUATION OF AI RESEARCH.
The Geometric Design of Spherical Mechanical Linkages with Differential Task Specifications: Experimental Set Up and Applications

The Geometric Design of Spherical Mechanical Linkages with Differential Task Specifications: Experimental Set Up and Applications. (August 2011) Kapila Bala Phani Neehar, B.Tech., Mahatma Gandhi Institute of Technology, India Co-Chairs of Advisory Committee: Dr. Nina Robson Dr. Reza Langari The thesis focuses on the development of an experimental set up for a recently developed failure recovery technique of spatial robot manipulators. Assuming a general configuration of the spatial robot arm, a task is specified. This task contains constraints on position, velocity and acceleration to be satisfied. These constraints are derived from contact and curvature specifications. The technique synthesizes the serial chain and tests if the task can be satisfied in case of a joint failure. An experimental set up was developed in order to validate the failure recovery technique. It includes a robot arm mounted on a movable platform. The arm and platform are controlled by NI sbRIO board and are programmed in LabVIEW. The experimental results of the failure recovery technique for the case of Elbow failure were obtained in Mathematica by fixing the faulty joint at an angle, these results were later tested on the robot arm and platform and satisfaction of task was obtained. The thesis considers two applications of the synthesis of spherical five –degreeof-freedom serial chains: Power assist for human therapeutic movement and Synthesis of
Non-Uniform Power Distribution in Data Centers for Safely Overprovisioning Circuit Capacity and Boosting Throughput

FEMAL, MARK E. :Non-Uniform Power Distribution in Data Centers for Safely Overprovisioning Circuit Capacity and Boosting Throughput. (Under the direction of Assistant Professor Vincent W. Freeh). Management of power in data centers is driven by the need to not exceed circuit capacity. Such techniques are evolving from ad hoc methods based on maximum node power usage to systematic methods that employ power-scalable components. These components allow for dynamically controlling power consumption with an accompanying effect on performance. Because the incremental performance gain from operating in a higher performance state is less than the increase in power, it is possible to overprovision the hardware infrastructure to increase throughput and yet still remain below an aggregate power limit. In overprovisioning, if each component operates at maximum power the limit would be exceeded with disastrous results. However, safe overprovisioning regulates power consumption locally to meet the global power budget. This research work presents PICLE, the Power Infrastructure Controller for Limited Environments. This framework is designed for boosting throughput through intelligent monitoring of server clusters by load-balancing available aggregate power under a set of operating constraints. The solution is useful for data centers that cannot expand the number of power circuits or seek effective usage of the available power budget due to power fluctuations. The framework is also ideally suited for environments with a heterogeneous workload and hence, a non-uniform power allocation requirement. Synthetic benchmarks indicate overprovisioning throughput gains of nearly 6% from a staticly assigned, power managed environment and over 30% from an unmanaged environment. In addition, based on a representative workload for a two minute period, a non-uniform power allocation scheme is shown to increase throughput by over 16% versus a uniform power allocation mechanism. Non-Uniform Power Distribution in Data Centers for Safely Overprovisioning Circuit Capacity and Boosting Throughput
Glove Based Communication System For Hearing and Speech Impaired Community Using Sign Language Interpretation

This paper is to enlighten the diversified utility of Data glove as a rehabilitation communication too l as well as a novel and crucial way of secure authentication for hearing and speech impaired community. Apart from that, this system can be used as an interface for robotic control by the aged and disable people which enables the robots to act according to the affective signs. In this novel way of communication where we combined the conventional sign language used by deaf and dump community incorporated with an electronic glove as the medium of communication from which signals are taken and the exacted message is interpreted. The experiments using Singular Value Decomposition (SVD) method of feature selection was showing the evidence of potential application of this idea. The data glove experiments of identifying sign language communication and identifying people were resulted in significant and distinguished models that are suitable for any communication and authentication systems.
A study of 4D printing and functionally graded additive manufacturing

Purpose The purpose of this paper is to extend existing knowledge of 4D printing, in line with Khoo et al. (2015) who defined the production of 4D printing using a single material, and 4D printing of multiple materials. It is proposed that 4D printing can be achieved through the use of functionally graded materials (FGMs) that involve gradational mixing of materials and are produced using an additive manufacturing (AM) technique to achieve a single component. Design/methodology/approach The latest state-of-the-art literature was extensively reviewed, covering aspects of materials, processes, computer-aided design (CAD), applications and made recommendations for future work. Findings This paper clarifies that functionally graded additive manufacturing (FGAM) is defined as a single AM process that includes the gradational mixing of materials to fabricate freeform geometries with variable properties within one component. The paper also covers aspects of materials, processes, CAD, applications and makes recommendations for future work. Research limitations/implications This paper examines the relationship between FGAM and 4D printing and defines FGAM as a single AM process involving gradational mixing of materials to fabricate freeform geometries with variable properties within one component. FGAM requires better computational tools for modelling, simulation and fabrication because current CAD systems are incapable of supporting the FGAM workflow. Practical implications It is also identified that other factors, such as strength, type of materials, etc., must be taken into account when selecting an appropriate process for FGAM. More research needs to be conducted on improving the performance of FGAM processes through extensive characterisation of FGMs to generate a comprehensive database and to develop a predictive model for proper process control. It is expected that future work will focus on both material characterisation as well as seamless FGAM control processes. Originality/value This paper examines the relationship between FGAM and 4D printing and defines FGAM as a single AM process that includes gradational mixing of materials to fabricate freeform geometries with variable properties within one component.
A Simulation Study on the Reduction of Cooling Loads in a Detached House by Cross-Ventilation using the Local Dynamic Similarity Model

Abstract A simulation study on the reduction of cooling loads by utilizing cross-ventilation was performed for a typically shaped house as defined by the Architectural Institute of Japan. A reduction in cooling load of around 50% could be achieved when the windows were opened liberally at night compared with the cooling load when all the windows remained closed, regardless of building coverage ratio.
Coded transceive spatial modulation with block Markov superposition transmission

A new multiple-input multiple-output system, referred to as transceive spatial modulation (TRSM), which integrates transmit spatial modulation (SM) and receive SM. In the TRSM system, information bits are carried by the conventional amplitude–phase modulation as well as by the indices of both the transmit and the receive antennas. To improve the bit-error-rate performance, block Markov superposition transmission (BMST) is applied to the TRSM, resulting in BMST-TRSM, where BMST is a recently proposed coding scheme and can be easily designed according to the spectral efficiency requirement. To reduce the computational complexity, a layered (suboptimal) soft detection algorithm is presented, which delivers a list of candidate spatial points (antenna combinations) first. Numerical results show that the proposed TRSM system performs well over the Rayleigh fading channels.
Nonpre-Emptive Integer Nonlinear Goal Programming Model for Multi-Item Inventory Problem: Case Study of a Car Retail Centre in Lagos State.

Most of the real-world optimization problems involve multiple objectives with constraint resources. Retailers oftentimes anticipate demand, they stock, and maintain warehouses with different variety of products at high cost to meet prospecting customers' demand. In this paper, a Non-preemptive Integer Nonlinear Goal Programming (NINGP) model was developed for obtaining Economic Order Quantities (EOQ) of multi-item inventory problems that satisfy the multiple and conflicting objectives of the Decision Maker (DM). The particular case considered was that of a motor vehicle dealer who sells 10 brands of Tokunbo vehicles and wants to determine the EOQ for each brand such that the deviations from the aspiration level are minimized. Using LINGO 17.0 Software to solve the NINGP model, the EOQ allocated to each brand type from 1 through 10 are 2, 2, 5, 2, 2, 3 3, 3, 3, and 3 cars respectively. The optimal number of cars was 28 with the associated cost of ₦53,825,915. Compared to the estimated budget of ₦60,000,000, the NINGP approach was able to achieve a 10% (₦6,174,085) below budget. With proper modifications considering the associated constraints, related inventory problems can be solved using the NINGP model.
Pengaruh Penggunaan Bungkil Inti Sawit Taraf 40% dalam Ransum terhadap Bobot Potong, Karkas, Potongan Komersil Karkas dan Kualitas Daging Ayam SenSi-1 Agrinak

ABSTRACT. Penelitian ini bertujuan mengetahui pengaruh optimalisasi penggunaan Bungkil Inti Sawit/Bungkil Inti Sawit Fermentasi dalam ransum terhadap bobot potong, karkas, persentase karkas, bobot lemak abdominal, potongan dan persentase komersil karkas serta kualitas daging ayam SenSi-1 Agrinak umur 10 minggu. Penelitian menggunakan RAL: 6 perlakuan 5 ulangan, ulangan: 3 ekor ayam SenSi-1 Agrinak. Perlakuan pakan penelitian: P0 (kontrol), P1 = BIS 40% , P2 = BIS 30% + BISF 10%, P3 = BIS 20% + BISF 20%, P4 = BIS 10% + BISF 30%, P5 = BISF 40%. Pakan perlakuan diberikan pada ayam umur 10 hari sampai 10 minggu, kemudian dilakukan penyembelihan untuk pengamatan bobot potong, bobot karkas, potongan komersil dan persentase karkas (dada, sayap, punggung, paha atas, paha bawah) serta kualitas daging. Hasil penelitian menunjukkan bahwa penggunaan BISF 30% + BIS 10% dalam pakan mampu meningkatkan bobot potong, bobot karkas, bobot dada, bobot paha bawah, bobot saya dan menurunkan lemak abdominal, namun tidak menunjukkan hasil yang berbeda terhadap persentase karkas, punggung, dada, paha, dan sayap pada ayam SenSi-1 Agrinak. Penggunaan 40% BISF dalam ransum mampu meningkatkan kandungan protein daging namun tidak menunjukkan hasil yang berbeda terhadap pH, daya ikat air, susut masak, kadar air dan lemak kasar pada ayam SenSi-1 Agrinak. Hal ini menunjukkan bahwa pemberian 30% BISF + 10% BIS dan pemberian 40% BISF layak digunakan dalam ransum ayam SenSi-1 Agrinak. (The effect of use of palm kernel oil at the level of 40% in the ration on slaughter weight, carcass commercial cuts and meat quality SenSi-1 Agrinak chicken) ABSTRAK. The study was conducted to determine the effect of optimizing the use of PKM/PKMF in the ration on carcass, carcass components, carcass percentage, meat physical, and chemical quality of SenSi-1 Agrinak chicken. The research feed treatments were: P0 (control), P1 = PKM 40%, P2 = PKM 30% + PKMF 10%, P3 = PKM 20% + PKMF 20%, P4 = PKM 10% + PKMF 30%, P5 = PKMF 40%. The treatment feed was given to chickens aged 10 days to 10 weeks, then slaughtered for obser¬vation of slaughter weight, carcass weight, carcass commercial cuts and carcass percentage (breast, wings, back, upper thigh, lower thigh) and meat quality. The results showed that the use of PKMF 30% + PKM 10% in feed was able to increase slaughter weight, carcass weight, chest weight, lower thigh weight, my weight and reduce abdominal fat, but did not show different results on the percentage of carcass, back, chest, thighs, and wings on Sensi-1 Agrinak chicken. The use of 40% PKMF in the ration was able to increase the protein content of meat but did not show different results on pH, water holding capacity, cooking loss, water content and crude fat in Sensi-1 Agrinak chicken. This shows that the provision of PKMF 30% + PKM 10% and the provision of PKMF 40% are suitable for use in the ration of SenSi-1 Agrinak chickens.
Non-Invasive Electrophysiological Markers Associated With Long QT Syndrome

Long QT syndrome (LQTS) is a life-threatening channelopathy, characterized by permanent or transient QT interval prolongation on the 12-lead electrocardiogram and syncope associated with malignant ventricular rhythm disturbances, particularly polymorphic ventricular tachycardia also known as torsade de pointes. Corrected QT (QTc) interval measurement remains the initial source of LQTS diagnosis in any patient, but the borderline QTc interval prolongation should induce further investigation. Genetic testing has the greatest value to provide definitive diagnosis in such situations, but it cant be applied to each patient routinely, putting aside that it can often be incomprehensive, costly or unavailable. The present review discusses the most promising non-invasive electrophysiological markers associated with Long QT syndrome, particularly in absence of visible QT interval prolongation and clinical manifestations.