2,571 research outputs found

    Preliminary studies on food and feeding habits of Polypterus endlicheri and Polypterus senegalus in Lake Chad

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    The food and feeding habits of Polyprerus cncllicheri and Polypterus senegalus was carried out in the months of September to October. The food of 33 Polypierus endlicheri as observed include Tilapia species (89.3%), Eutropius niloticus (28.6%), Mayfly nymph (39.3%), Dragon fly larva (56.6%) fish remains (21.4%) and detritus (7.1%). The food of27 Polypterus senegalus as observed include Tilapia sp (88.4%), Eutropius niloticus (27.9%), may fly nymph (23.3%), Dragonfly nymph (34.9%) remains (21.1%) detritus (23.3%). (9 page document) The percentage occurrence of food item found in the stomach of Polypterus endlieheri is 93.3% while that of Polyprerus senegalus is 67.4%. The dominance of Tilapia sp was establish in the study, and there is no significant difference between the feeding habit of Polypterus endlicheri and Polyprerus senegalus

    Effect of Jitter on the Settling Time of Mesochronous Clock Retiming Circuits

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    It is well known that timing jitter can degrade the bit error rate (BER) of receivers that recover the clock from input data. However, timing jitter can also result in an indefinite increase in the settling time of clock recovery circuits, particularly in low swing mesochronous systems. Mesochronous clock retiming circuits are required in repeaterless low swing on-chip interconnects. We first discuss how timing jitter can result in a large increase in the settling time of the clock recovery circuit. Next, the circuit is modelled as a Markov chain with absorbing states. The mean time to absorption of the Markov chain, which represents the mean settling time of the circuit, is determined. The model is validated through behavioural simulations of the circuit, the results of which match well with the model predictions. We consider circuits with (i) data dependent jitter, (ii) random jitter, and (iii) combination of both of them. We show that a mismatch between the strengths of up and down corrections of the retiming can reduce the settling time. In particular, a 10% mismatch can reduce the mean settling time by up to 40%. We leverage this fact toward improving the settling time performance, and propose useful techniques based on biased training sequences and mismatched charge pumps. We also present a coarse+fine clock retiming circuit, which can operate in coarse first mode, to reduce the settling time substantially. These fast settling retiming circuits are verified with circuit simulations.Comment: 23 pages, 40 figure

    Framing Analysis On Partai Demokrat\u27s Campaign In 2014 General Election Issues In Kompas And Jawa Pos

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    Keywords: Language, mass media, media discourse.Mass media as an integral part of society today, they use language to deliver their report and transfer their idea toward readers. Because of its complexity, the news makers have to select and rephrase reality. This technique is called as framing where the same topic will be given differently by the different newspaper, depends on its own perspective which is reflected by the use of language. Therefore, the position of mass media is constructing reality rather than merely informing the reality to the society.This research is about framing analysis in Jawa Pos and Kompas printed media reporting Partai Demokrat during the campaign\u27s period for general national election 2014. Since they are the oldest and the biggest newspapers in Indonesia, they tend to have a big power in creating a public opinion around the society. There are two problems to be solved, namely: how Kompas and Jawa Pos control their readers\u27 opinion through (1) their lexical choices; (2) their syntactical structures.This study uses qualitative approach in relation to the use of clear explanation about data to be analyzed. Content analysis is applied in this study to understand the data which is taken from news article in newspaper.This study reveals that in order to create public opinion towards Partai Demokrat, Jawa Pos use repetition words which consists of selected nouns, adjectives, and verbs with positive connotation meaning. Since then, Jawa Pos tries to support the currently ruling political party in Indonesia. Besides, Kompas tends to be a neutral media, by reporting Partai Demokrat with denotative meaning; therefore, it will reduce the ambiguity from the readers. From the syntactical problems, Jawa Pos as well as Kompas used active clauses more often than passive clauses. The active clauses used to foreground the actor. The most common actor is Susilo Bambang Yudhoyono (SBY) as the leader of Partai Demokrat is used to portray Partai Demokrat itself.The writer suggests that English Department students learn more about discourse analysis especially media discourse analysis. The writer also suggests that the next researcher conduct a research in more various aspects of linguistic tools in order to get more accurate and comprehensive conclusion

    Obligation Norm Identification in Agent Societies

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    Most works on norms have investigated how norms are regulated using institutional mechanisms. Very few works have focused on how an agent may infer the norms of a society without the norm being explicitly given to the agent. This paper describes a mechanism for identifying one type of norm, an obligation norm. The Obligation Norm Inference (ONI) algorithm described in this paper makes use of an association rule mining approach to identify obligation norms. Using agent based simulation of a virtual restaurant we demonstrate how an agent can identify the tipping norm. The experiments that we have conducted demonstrate that an agent in the system is able to add, remove and modify norms dynamically. An agent can also flexibly modify the parameters of the system based on whether it is successful in identifying a norm.Norms, Social Norms, Obligations, Norm Identification, Agent-Based Simulation, Simulation of Norms, Artificial Societies, Normative Multi-Agent Systems (NorMAS)

    Performance evaluation of high mobility OFDM channel estimation techniques

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    In wireless communication, Orthogonal Frequency Division Multiplexing (OFDM) has been adopted due to its robustness to multipath fading and high data rate transmissions. At the other hand, the performance of OFDM systems severely degraded due to multi-path fading and Doppler frequency shifts in mobile systems, which causes inter-carrier-interference (ICI). Thus, Estimation of channel parameters is required at the receiver using a pre designed estimator where pilot tones are inserted in each OFDM symbol. In this paper, a random pilot data are generated and inserted in each OFDM symbol at equally spaced locations. The performance test of Least Square (LS) and Linear Minimum Mean Square (LMMSE) estimation methods are proposed with Discrete Fourier Transform (DFT) based on both LS and LMMSE, where different ITU channel models are considered in order to compare their performance for data transmission in high mobile systems with different Doppler frequencies exceeds 200 Hz and minimal number of pilots

    A novel delay dictionary design for compressive sensing-based time varying channel estimation in OFDM systems

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    Compressive sensing (CS) is a new attractive technique adopted for Linear Time Varying channel estimation. orthogonal frequency division multiplexing (OFDM) was proposed to be used in 4G and 5G which supports high data rate requirements. Different pilot aided channel estimation techniques were proposed to better track the channel conditions, which consumes bandwidth, thus, considerable data rate reduced. In order to estimate the channel with minimum number of pilots, compressive sensing CS was proposed to efficiently estimate the channel variations. In this paper, a novel delay dictionary-based CS was designed and simulated to estimate the linear time varying (LTV) channel. The proposed dictionary shows the suitability of estimating the channel impulse response (CIR) with low to moderate Doppler frequency shifts with acceptable bit error rate (BER) performance

    Student motivations for studying online: A qualitative study

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    The availability of online courses has continued to grow over recent years with more students now turning to online offerings. The flexibility offered through online learning is attractive to prospective students with some of the benefits including reduced costs, and the potential to increase and diversify the student body. Online courses provide the advantage of reaching those who may be ‘too busy’ for traditional study, and offer flexibility through anywhere, anytime access. While these benefits may attract prospective learners to the online environment there remains little empirical evidence for the reasons students actually make the decision to study online over more traditional means. Here, it is important to understand students’ motivations for choosing an online course. Without this information universities cannot assess if their programs are effectively designed to meet students’ expectations, or that students are sufficiently informed and prepared for instruction and learning in the online environment. As part of a PhD, research is currently underway investigating what students expect when commencing an online course at Edith Cowan University (ECU). This paper discusses findings relating to the motivation and reasons why first year students decide to study a course online at ECU

    Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes

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    Purpose: It has been shown, theoretically and in vivo, that using the Stejskal-Tannerpulsed-gradient, or linear tensor encoding (LTE), and in exhibiting a ’stick-like’ diffusion geometry,the direction-averaged diffusion-weighted MRI signal at high b-values (7000 < b <10000 s=mm2) follows a power-law, decaying as 1=pb. It has also been shown, theoretically,that for planar tensor encoding (PTE), the direction-averaged signal decays as 1=b. We aimedto confirm this theoretical prediction in vivo. We then considered the direction-averaged signalfor arbitrary b-tensor shapes and different tissue substrates to look for other conditions underwhich a power-law exists.Methods: We considered the signal decay for high b-values for encoding geometries rangingfrom 2-dimensional PTE, through isotropic or spherical tensor encoding (STE) to LTE. Whena power-law behaviour was suggested, this was tested using in silico simulations and in vivousing ultra-strong gradients (300 mT/m).Results: Our in vivo results confirmed the predicted 1/b power law for PTE. Moreover, ouranalysis showed that using an axisymmetric b-tensor a power-law only exists under very specificconditions: (a) the tissue must have ’stick-like’ geometry; and (b) the waveform must bepurely LTE or purely PTE.Conclusion: A complete analysis of the power-law dependencies of the diffusion-weightedsignal at high b-values has been performed. Only two specific forms of encoding result in apower-law dependency, pure linear and pure planar tensor encoding and when the microstructuralgeometry is ’stick-like’. The different exponents of these encodings could be used toprovide independent validation of the presence of stick-like geometries in vivo
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