Miracle-dz/UniFAR-FTUs huggingface dataset:
On-Chip Dynamic Resource Management

The need for dynamic resource management has shadowed the exponential growth of on-chip transistor capacity, and the challenge is accentuated by the heterogeneity of resources, and the bewildering variety of constraints and requirements of applications, platforms and users. The field has started with a few research papers in the early 1990s but has grown today to over hundred yearly publications, leading to an accumulated body of literature presumable far above 1000 papers. We focus on the dynamic (run-time) management of onchip resources and mostly ignore design-time techniques and off-chip resources of larger electronic systems. Moreover, we do not attempt a complete review of all published work on the topic. Rather, this survey provides a structured review and discussion of the state of the art and is divided along the primary objectives of resource management techniques: performance, power, reliability and quality of service, each Antonio Miele, Anil Kanduri, Kasra Moazzemi, Dávid Juhász, Amir M. Rahmani, Nikil Dutt, Pasi Liljeberg and Axel Jantsch (2019), “On-Chip Dynamic Resource Management”, Foundations and Trends © in Electronic Design Automation: Vol. 13, No. 1-2, pp 1–144. DOI: 10.1561/1000000055. The version of record is available at: http://dx.doi. org/10.1561/1000000055
Selective vehicle routing problem: cluster and synchronization constraints. (Problèmes de tournées de véhicules sélectives: contraintes de cluster et de synchronisation)

The Vehicle Routing Problem (VRP) is a family of Combinatorial Optimization Problems generally used to solve different issues related to transportation systems and logistics. In this thesis, we focused our attention on a variant of the VRP called the Team Orienteering Problem (TOP). In this family of problems, it is a priory impossible to visit all the customers due to travel time limitation on vehicles. Instead, a profit is associated with each customer to represent its value and it is collected once the customer is visited by one of the available vehicles. The objective function is then to maximize the total collected profit with respect to the maximum travel time. Firstly, we introduced a new generalization for the TOP that we called the Clustered TOP (CluTOP). In this variant, the customers are grouped into subsets called clusters to which we associate profits. To solve this variant, we proposed an exact scheme based on the cutting plane approach with additional valid inequalities and pre-processing techniques. We also designed a heuristic method based on the order first-cluster second approach for the CluTOP. This Hybrid Heuristic combines between an ANLS heuristic that explores the solutions space and a splitting procedure that explores the giant tours search space. In addition, the splitting procedure is enhanced by local search procedure in order to enhance its coverage of search space. The second problem treated in this work is called the Synchronized Team Orienteering Problem with Time Windows (STOPTW). This variant was initially proposed in order to model scenarios related to asset protection during escaped wildfires. It considers the case of a heterogeneous fleet of vehicles along with time windows and synchronized visits. To solve this problem, we proposed a heuristic method based on the GRASP×ILS approach that led to a very outstanding results compared to the literature. The last variant of the TOP tackled in this thesis called the Set Orienteering Problem (SOP). Customers in this variant are grouped into subsets called clusters. Each cluster is associated with a profit which is gained if at least one customer is served by the single available vehicle. We proposed a Branch-and-Cut with two separation procedures to separate subtours elimination constraints. We also proposed a Memetic Algorithm with an optimal splitting procedure based on dynamic programming.
STEGANALYSIS ALGORITHMS FOR DETECTING THE HIDDEN INFORMATION IN IMAGE , AUDIO AND VIDEO COVER MEDIA

Recently, there has been a lot of interest in the fields of Steganography and Steganalysis. Steganography involves hiding information in a cover (carrier) media to obtain the stego media, in such a way that the cover media is perceived not to have any embedded message for its unintended recipients. Steganalysis is the mechanism of detecting the presence of hidden information in the stego media and it can lead to the prevention of disastrous security incidents. In this paper, we provide a critical review of the steganalysis algorithms available to analyze the characteristics of an image, audio or video stego media vis-a-vis the corresponding cover media (without the hidden information) and understand the process of embedding the information and its detection. It is noteworthy that each of these cover media has different special attributes that are altered by a steganography algorithm in such a way that the changes are not perceivable for the unintended recipients; but, the changes are identifiable using appropriate steganlysis algorithms. We anticipate that this paper can also give a clear picture of the current trends in steganography so that we can develop and improvise appropriate steganlysis algorithms.
A prospective, randomized, placebo-controlled, double-blind comparative pilot study to evaluate the efficacy of Chlorophytum borivilianum on physical performance

OBJECTIVES: The objective was to study the adaptogenic effect of Chlorophytum borivilianum(CB) on physical performance when exposed to accustomed activity (AA) and unaccustomed activity (UA) and the effect of CB on heart rate (HR) and blood pressure (BP) in the presence of UA and the effect on muscle strength in comparison with placebo. MATERIALS AND METHODS: A placebo-controlled, double-blind clinical study was initiated after ethics committee approval in healthy volunteers with fixed-dose regimen. Consented volunteers (n = 60) were assigned randomly into two groups of study drug (3 g/day) or placebo (3 g/day) for 2 months. They were evaluated at days 0, 30, and 60 with physical stressors (6-min walk test [6MWT] – distance, HR, and BP; 6-min exercise test [6ETC] – distance, maximum and average speed; and fixed workload test [FWT] – systolic BP, diastolic BP [DBP], and HR on cycle ergometer) and Jammar's dynamometer test for handgrip strength test on each visit. RESULTS: In 6MWT in CB group, distance on day 30 (456 ± 42.1) and day 60 (468.3 ± 0.4) was significantly increased when compared with day 30 (422.6 ± 45.7) and day 60 (419.6 ± 45.1) of the placebo group. On day 60, distance in 6ETC in CB group was 2.92 ± 0.6 which was significantly more than that of placebo group 2.4 ± 0.6. On day 60, in FWT, DBP in the CB group was 75.8 ± 4.4 which was significantly low compared to the placebo group 82.4 ± 7.4 (P < 0.05). CONCLUSION: CB increased physical performance when exposed to AA even after one month and in case of UA increase in performance was seen when CB was administered for two months thus validating its adaptogenic (anti-stress) potential.
Homology Modeling and Docking Study of Shewanella-like Protein Phosphatase Involved in the Development of Ookinetes in Plasmodium

Objective: Parasites of the genus Plasmodium cause a great deal of morbidity and mortality worldwide, largely in regions with limited access and indication to the tools necessary to control mosquito populations and to treat human infections of malaria. Five species of this class of eukaryotic pathogens cause different human diseases, with Plasmodium falciparum alone infecting approximately 500 million people per year and resulting in approximately one million deaths. Materials and Methods: The two genes encoding the Shewanella-like protein phosphatases of P. falciparum, SHLP1 and SHLP2, are conserved among members of Plasmodiidae family. SHLP is frequently found in asexual blood stages and expressed at all stages of the life cycle of parasite. SHLP deletion results in a reduction in microneme formation, ookinetes (zygote) development, and complete ablation of oocyst formation, thereby blocking transmission of parasite. Structure modeling of SHLP protein can be helpful in understanding the active site and binding site information and hence can be used for drug designing and for therapeutics against malaria. Study of SHLP and its variants was carried out using UniProtKB database. Homology modeling was performed using Schrödinger software, and the modeled structure was verified using Ramachandran plot. Ten antioxidants were searched in PubChem database for docking and comparative analysis. Docking was carried out against SHLPmodeled protein, and the ligand–protein interaction map was analyzed. Effective role of resveratrol was studied against SHLP protein using docking method to identify protein–ligand interaction scheme and bond formation. Results: SHLP protein was modeled and docking was carried out to identify the binding sites and interaction with the SHLP protein. Docking study suggested that resveratrol has a strong interaction with SHLP protein and can be used as a potential ligand for drug designing. Conclusion: SHLP plays a crucial role in ookinetes and microneme development in Plasmodium; hence ligand, which can interact and inhibit SHLP protein, can be a potential drug against malarial parasite development. We studied the binding of antioxidant, such as resveratrol, with this protein-using docking method and it was found that resveratrol as an antioxidant can bind with the target SHLP protein.
A completely on-chip voltage regulation technique for low power digital circuits

This paper describes a completely on-chip voltage regulation technique for locally generating an adaptive low voltage power supply rail from a given higher voltage power supply without requiring any external component. The on-chip regulator, based on delay servoing, primarily comprises of a critical path replica, charge pump and a high performance voltage buffer which is the most critical component of the design. Simulation results for a 0.5 /spl mu/m CMOS process demonstrate that the buffer offers a low DC output impedance, a high degree of voltage regulation (output ripple of 12% of Vdd) and a superior line regulation (up to the maximum clock frequency of 50 MHz) even under strongly varying load conditions. The regulator response for a typical worst case load exhibits a maximum voltage fluctuation of 4% of Vdd with a reasonably fast response time.
Coding for multiple antenna transmission in fast fading and in OFDM

The multiple antenna channel coding problem in orthogonal frequency-division multiplexing is reconsidered, because with frequency interleaving the effective channel characteristic across tones is rather fast fading and does not comply with the quasi-static channel model widely assumed for space-time codes. We study the fast-fading multiple transmit and receive antenna channel via evaluation of the capacity of the ergodic channel. Capacity comparisons give guidelines on how to adjust coding rate and modulation cardinality jointly. Simulations show that bit-based coding outperforms space-time codes in fast fading and, furthermore, offers greater flexibility in rate adaptation.
Application of screw theory to constraint analysis of assemblies of rigid parts

Screw theory is used to provide mathematical models of assembly features, allowing the determination of positioning constraints imposed on one part in an assembly by another part based on the geometry of the features that join them. Seventeen feature types have been modeled. A user of this theory is able to combine members of this set to join two parts and then determine whether or not the defined feature set over-, under-, or fully-constrains the location and orientation of the part. The ability to calculate the state of constraint of parts in an assembly is useful in supporting quantitative design of properly constrained assemblies in CAD systems. Locational overconstraint of parts can lead to assemblability problems or require deformation of parts in order to complete assembly. The theory has been implemented in a computer program that is integrated with others to form an assembly analysis tool suite.
Design of adaptive NNs-robust-PID controller for a robot control

This paper investigates the trajectory control of a robot using a new type of recurrent neural network. A three-layered recurrent neural network is used to estimate the forward dynamics model of the robot manipulator. The standard backpropagation (BP) algorithm is used as a learning algorithm for this network to minimise the difference between the robot manipulator actual response and that predicted by the neural network. This algorithm is employed to update the connection weights of a recurrent neural network controller with three layers using a stochastic gradient function. The control architecture consists of a neural feed-forward model which is a recurrent network used for identification of the robot dynamics, a conventional PID controller, a robust controller and a neural controller. Simulations illustrate that the proposed neural control approach which is applied to some nonlinear processes can gain satisfactory performance results. The results of the simulations are presented to show the promising performance of the neural controller.
Türkiye’deki Ziraat Fakültelerinin Tarımsal Araştırma Eğilimleri: 1996-2011 Yılları Yaşam Bilimleri Veri Tabanı yayınlarının Bibliyometrik Analizi

Examination and analysis of scientific research provides evaluation about new knowledge production, solving problems, creating innovation and R&D activities on science and technology areas of countries. In this research, subject covarege of the publications of agricultural faculties in Turkey listed on Life Sciences Database (YBVT) between 1996 and 2011 are analysed. In addition to that agricultural information structure and emerging trends are visuliazed with the social network analysis. With the subject analysis, whether the conducted research was compatible with the desired level of research regarding the emphasis and priorities in policies located in important documents like State Planning Organisation development plans, The Ministry of Food, Agriculture and Livestock strategy documents, The Scientific and Technological Research Council of Turkey (TUBITAK) meeting decisions/proceedings, TUBITAK Vision 2023 Food and Agriculture Panel, TUBITAK Public Agriculture Research Program etc. is tried to be identified. When we compare policies with the faculty of agriculture publicaitons, such as animal resources, plant breeding and genetics, organic agriculture, genotypes are researched constantly. In order to direct stated other policies to the research, State Planing Organization, The Ministry of Food, Agriculture and Livestock, TUBITAK, Supreme Council for Science and Technology cooperate with universities authorities and activate human resources, support and incentive funds more efficiently.
Microstrip patch antenna sensor for measurement of the permittivity of homogeneous dielectric materials

The application of a small air-spaced coaxially fed rectangular microstrip patch antenna as a sensor for the measurement of the permittivity is presented. The models derived for the calculation of the permittivity from the shift in the resonant frequency for solid and liquid materials are described. The models are experimentally verified by measurements on several liquids and solid samples. The results are compared with those obtained using standard techniques, such as coaxial probe and waveguide cell measurements. An error correction technique for the elimination of the systematic error of the measurement is also included. The structure has very good sensitivity particularly for liquids, where the space between the patch and ground plane as well as the space above the patch are filled with the liquid under test. It is well suited for measurement of the complex permittivity of liquids or for monitoring of changes in permittivity values for solid and liquid materials.
An adaptive artificial neural network to model a Cu/Pb/Zn flotation circuit

In this paper, we describe the planning and development of an artificial neural network model of line 3 of the copper/lead flotation circuit at Brunswick Mining's concentrator at Bathurst, New Brunswick. The prototype model predicts the copper and lead assays of the concentrate streams of this rougher flotation circuit. In the model, the actual values and rates of change in the main process variables such as head grades, reagent addition, mass flow, density, pH, temperature, cell level and grind size are treated as inputs. The global error in both training and testing of the model is used to indicate the accuracy of the model. The model is fully adaptable, i.e., it can be updated when required to account for ore and/or processing changes that are not currently included in the ANN because of lack of instrumentation or reliability of measurements. The adaptation algorithm is used to select current data to replace records in the existing training and testing datafile. Retraining is conducted whenever the model accuracy declines to a pre-defined target value. The algorithm determines the frequency of retraining. The final system will be expanded to calculate a total of 12 assays using a separate ANN model for each. All models are independently updated. This approach to artificial neural networks provides plant engineers with a process model that is always current and reasonably accurate. Model access provides flexibility in adjusting set-points to achieve increased efficiency in the control of process variables.
A genetic algorithm for testable data path synthesis

A high level synthesis for testability method is presented with the objective to generate testable RTL designs from behavioral descriptions. The approach is formulated as an allocation problem and solved using an efficient genetic algorithm that generates cost-effective testable designs. We follow the allocation method with an automatic test point selection algorithm that trades off design area and delay with test quality. The method has been implemented and design comparisons are reported.
Fast ICA for noisy data using Gaussian moments

A novel approach for the problem of estimating the data model of independent component analysis (or blind source separation) in the presence of Gaussian noise is introduced. We define the Gaussian moments of a random variable as the expectations of the Gaussian function (and some related functions) with different scale parameters, and show how the Gaussian moments of a random variable can be estimated from noisy observations. This enables us to use gaussian moments as one-unit contrast functions that have no asymptotic bias even in the presence of noise, and that are robust against outliers. To implement efficiently the maximization of the contrast functions based on Gaussian moments, a modification of our FastICA algorithm is introduced.
Database correlation method for GSM location

Cellular location methods based on angle of arrival (AOA) or time difference (e.g. E-OTD) measurements assume line-of-sight propagation between base stations and the mobile station. This assumption is not valid in urban microcellular environments. We present a database correlation method (DCM) that can utilize any location-dependent signals available in cellular systems. This method works best in densely built urban areas. An application of DCM to GSM, using signal strength measurements, is described and trial results from urban and suburban environments are given. Comparison with AOA and E-OTD trials shows that DCM is a competitive alternative for GSM location in urban and suburban environments.
High Performance Liquid Chromatography in analysis

High Performance Liquid Chromatography, also known as high pressure liquid chromatography is the most commonly used analytical methods in the pharmaceutical industry. High Performance Liquid Chromatography (HPLC) is mainly used for the separation, identification and qualitative & quantitative analysis of the components in a sample mixture. Usually it is used in the case of semi-volatile or nonvolatile organic compounds [1,2].
Activity theory as a framework for considering human affect in the design

An approach based on the cultural-historical theory of human activity (activity theory) to consider human affect in the analysis and the design of complex systems is put forward. The influence and importance of emotions in human behaviour is emphasised. The proposed approach tries to complement current system design approaches, which focus on the cognitive aspects of human behaviour. The application of the proposed approach to describe and analyse affect in human behaviour in complex systems is presented.
Convergence of iterative method for problem with free phase in case of isometric operator

The problem with free phase is the problem in which only the modulus of the right hand side is given. The case is considered when a linear operator of the problem is acting in complex Hilbertian spaces. The pseudo-solutions of the problem is found from a nonlinear functional equation. The convergence of an iterative method for this equation is proved for the case, when the operator of the problem is isometric.
Reliable delivery of broadcast packet in Bluetooth

In the Bluetooth wireless system, each broadcast packet is retransmitted for a fixed number of times. However, there is a trade-off between the number of retransmission and the effective throughput. Also, reliable packet delivery is not guaranteed. Therefore, we propose a reliable broadcast packet delivery policy, which is called NACK-based retransmission policy in which the number of retransmission is dynamically adjusted in order that all the slaves can receive the packet correctly. Our simulation results show that the NACK-based retransmission policy guarantees reliable packet delivery and maximizes the effective throughput by preventing a broadcast packet from being retransmitted unnecessarily.
A trajectory planner for manipulators using genetic algorithms

Proposes a genetic algorithm (GA) to generate trajectories for robotic manipulators. The objective is to minimize the ripple in the time evolution of robot positions and velocities. Moreover, the manipulator is required to reach a predefined goal without colliding with obstacles in the workspace. The article presents the results for several redundant and non-redundant robot manipulators.
Research on HTML5-based Web Vector Map Publishing Strategy

Web map publishing is a hot spot in geographical information research nowadays. However, due to the limits of traditional Web standard as well as the non-structuralization and large quantity of spatial data, Web map publishing is facing with inability of highly efficient transmission and of flexible interaction on clients. The present article firstly analyses the problems in Web map publishing, then designs a Web map publishing system structure based on HTML5 standard. On the basis of this structure, the article explains the data transmission strategy which is the basic technology of vector map publishing, and then discusses other key technologies such as the HTML5-Web-Database-based client caching technology and Canvas-based client rendering in detail to contribute vector map publishing. Finally, a HTML5-based vector map publishing prototype system is realized, and the result proves that the HTML5-based Web map publishing strategy put forward by the present article can improve the efficiency and flexibility of Web mapping, further to promote human computer interaction(HCI) between users and geographic maps.
of the 23 rd Annual EMBS International Conference , October 25-28 , Istanbul , Turkey VALIDATION OF A MULTI-SEGMENT FOOT AND ANKLE KINEMATIC MODEL FOR PEDIATRIC GAIT

This paper quantifies the system characteristics for a pediatric foot and ankle biomechanical model. While orientated along the Z-axis the static system resolution is computed at 0.32 f 0.29 mm with 99.9% accuracy. Dynamic resolution and accuracy are 0.43 f 039 mm and 99.8%, respectively. Angular dynamic resolution computes to 0.52 f 3.36 degrees at 99.6% accuracy. These calculations are comparable to the Milwaukee adult foot and ankle model.