Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of PID Controller using PSO Algorithm for CSTR System

The paper Present to design PID controller parameters for an CSTR system using pso Algorithm. The design goal is to minimize the optimal parameters of the integral errors and reduce transient response by minimizing overshoot, settling time and rise time of step response. First an objective function is defined, and then by minimizing the objective functions using PSO Algorithm. The CSTR system is very important equipment in chemical and biochemical industry. Various control approaches have been applied on CSTR to control its parameters. We want to control concentration of chemical in CSTR system for Stability. Keywords— CSTR system, Feedback System, PSO, PID Controller. INTRODUCTION To design a PID Controller for cstr system using PSO algorithm. The model of a Continuous Stirred Tank Reactor modal is used as a plant. The main objective is to obtain a stable, robust and controlled system using PSO. The CSTR system is modeled in Simulink and the PSO algorithm is implemented in MATLAB. Comparing with Genetic algorithm and Particle swarm optimization (PSO) method, the proposed method was more efficient in improving the step response characteristics such as, reducing the steady-states error, rise time, settling time and maximum overshoot of a CSTR system. CSTR involves complex reactions with high nonlinearity, and it is very hard to be controlled by the conventional methods. However, to avoid computational complexity brought in by such nonlinear controller. Pso Algorithm (PSO) based PID controller tuning is attempted for the concentration control of Continuous Stirred tank reactor (CSTR). Based on the Performance indexes 972 Shashank Sultaniya and Dr. Rajeev Gupta and criterion controller can be estimated. The Integral Square Error (ISE) criterion is used to guide Pso algorithm to search the controller parameters like Kp, Ki, Kd. Simulation is carried out with PID controller Structures. The comparison between PSO-based PID (PSO-PID) performance and the GA-PID is presented. CSTRs are very important equipment in the chemical and biochemical industry, offering a diverse range of researches in the area of the chemical and control engineering. Various control approaches have been applied on CSTR to control its parameters. Due to its strong non-linear behavior, the problem of identification and control of CSTR is always a challenging task for control system engineer [1].
Decoding, hacking, and optimizing societies: Exploring potential applications of human data analytics in sociological engineering, both internally and as offensive weapons

Today's unprecedented wealth of data on human activities, augmented by proven reliable methods of algorithmically extrapolating personal information from limited data, and the means to store and analyze it opens up new vistas for in-depth understanding of individuals, as well as the potential generation of predictive models for the dynamics of human functions on individual, group, and societal scales. This has already proven to have applications in successfully forecasting behavior, techniques which are only likely to improve. To the extent that the science can move beyond a correlative understanding of the data to a causal understanding of the factors affecting behavior, it will allow new means for (perhaps covertly and deniably) influencing behavior, possibly through long causal chains that could conceal the influence of the manipulator. This offers an immense variety of applications, but this paper will particularly consider them as tools in governmental control over their citizens and as a new form of weaponry.
User Location Estimation Based on Stereo Audio-Vision

Two methods have been used to track user location: stereo audio-based and the stereo vision-based methods. The stereo audio-based method is sensitive to noise, its performance deteriorates readily. The stereo vision-based method has problems in estimating location when the surrounding environment is restricted or the user is out of camera sight. In this paper, we compensate for the problems of the two methods. We used GCC-PHAT for audio-based location and the skin color and the AdaBoost algorithm for vision-based location adopting disparity information and the stereo camera internal transformation of the detected image. From the experimental results, the error of the estimated average angle is 1.32 and 0.86 degrees at 1 and 2 meters, and we also confirm that the proposed method is very efficient in user location estimation of near distance.
Improved Hidden Markov Modeling for Speaker-Independent Continuous Speech Recognition

The paper reports recent efforts to further improve the performance of the Sphinx system for speaker-independent continuous speech recognition. The recognition error rate is significantly reduced with incorporation of additional dynamic features, semi-continuous hidden Markov models, and speaker clustering. For the June 1990 (RM2) evaluation test set, the error rates of our current system are 4.3% and 19.9% for word-pair grammar and no grammar respectively.
EmoXract: Domain independent emotion mining model for unstructured data

Emotion plays an important role in human computer interaction to give a human like feel. To acknowledge the importance of emotions in an artificial agent, we propose a domain independent emotion mining model (EmoXract) which extracts emotions from an unstructured data. The emotion is extracted at sentence level based upon the contextual information. Basically, we have used two corpuses: WordNet dictionary and WordNet-Affect dictionary. WordNet dictionary is used for the creation of synonyms and stemmed words. WordNet-Affect dictionary is used to establish a weighted relationship between each word to every primary emotion. Various modules adopted in the model are converter, tokenizer, creating synsets and stemmed words, assigning weights, heuristics rules, calculating net weight and sentence level emotion extraction. We have also designed a self-learning dictionary which self-updates the new word, its synonym and stemmed words with the same weight in accordance to its already existing synonym. Finally the model is simulated for a test data of more than 500 sentences, selected from different domains to validate the proposed design.
Multiple-Access Channel Model for P2P Networks

Peer-to-peer (P2P) technology encounters serious methodological limitations to guarantee the quality of services (QoS) of P2P networks with very few peers. In this paper, we propose multiple-access channel model (MACM) to merge different P2P networks as a whole to share their data-transfer capability. The model abstracts the interlaced data links between peers as logical data channels according to their spatial-temporal relations. The channels can be subdivided based on multiplex technology and serve different applications at same time. MACM redefines P2P data-packet structure and organizes data packets into time-related groups according to cascade-packet rule to support controllable data-projection between data pools of peers. MACM-based P2P networks can be created as virtual sub-network or virtual-peer bridging strategy so as to improve the performance of P2P networks with few peers but high priorities within Internet protocol television (IPTV) and wireless sensor network (WSN) applications.
Transpacific transport of ozone pollution and the effect of recent Asian emission increases on air quality in North America: an integrated analysis using satellite, aircraft, ozonesonde, and surface observations

We use an ensemble of aircraft, satellite, sonde, and surface observations for April–May 2006 (NASA/INTEX-B aircraft campaign) to better understand the mechanisms for transpacific ozone pollution and its implications for North American air quality. The observations are interpreted with a global 3-D chemical transport model (GEOS-Chem). OMI NO 2 satellite observations constrain Asian anthropogenic NO x emissions and indicate a factor of 2 increase from 2000 to 2006 in China. Satellite observations of CO from AIRS and TES indicate two major events of Asian transpacific pollution during INTEX-B. Correlation between TES CO and ozone observations shows evidence for transpacific ozone pollution. The semi-permanent Pacific High and Aleutian Low cause splitting of transpacific pollution plumes over the Northeast Pacific. The northern branch circulates around the Aleutian Low and has little impact on North America. The southern branch circulates around the Pacific High and some of that air impacts western North America. Both aircraft measurements and model results show sustained ozone production driven by peroxyacetylnitrate (PAN) decomposition in the southern branch, roughly doubling the transpacific influence from ozone produced in the Asian boundary layer. Model simulation of ozone observations at Mt. Bachelor Observatory in Oregon (2.7 km altitude) indicates a mean Asian ozone pollution contribution of 9±3 ppbv to the mean observed concentration of 54 ppbv, reflecting mostly an enhancement in background ozone rather than episodic Asian plumes. Asian pollution enhanced surface ozone concentrations by 5–7 ppbv over western North America in spring 2006. The 2000–2006 rise in Asian anthropogenic emissions increased this influence by 1–2 ppbv.
Energy-efficient channel estimation for MB-OFDM UWB system in presence of interferences

Interference reduces the performance of a correct data signal detection and decoding. This problem becomes severe when interferences exist during the period of channel estimation. This will destroy the accuracy of channel estimation and, will eventually result severe degradation in the performance of signal detection and decoding in the entire data packet/frame. In this article, we propose an improved channel estimation technique for multiband orthogonal frequency division multiplexing (MB-OFDM) ultra-wideband (UWB) system in presence of interferences. In particular, we work towards a preamble-based channel estimation technique in multi-access and narrowband interfering environments. We construct two preamble symbols with opposite, both in amplitude and phase, sequences in frequency-domain. Time-domain redundancy is introduced into these preamble symbols before transmission. Based on this time-domain redundancy property, we eliminate multi-access interference (MAI) through an adaptive select and replace (ASR) scheme. We show that the use of opposite sequences in preambles leads a simple addition, subtraction and compare (ASC) scheme to cancel narrowband interference (NBI). In addition, we apply a frequency-domain filter, driven by channel's power delay profile (PDP), to get a further enhancement in the estimation accuracy. Simulation results urge that our proposed technique outperforms the conventional channel estimation methods.
INTERNAL GOVERNANCE MONITORING AND EARNINGS QUALITY RUSMIN

This study examines the earnings quality of the Indonesian manufacturing listed firms for years 2003 to 2009. Statistical analysis reveals that size of board and board commissioner independence help predict the quality of financial information. A large number of board commissioner members relates with higher earnings quality. Moreover, the presence of the independent board of commissioners associates with higher financial reporting quality. Interestingly, audit committee attributes especially percentage of independent members on the audit committee and number of audit committee member are not significant predictors. This has significant implications for Indonesian companies since globally companies are moving towards a more regimented corporate governance structure to enhance firm performance.
Reliable data delivery for highly dynamic mobile ad hoc networks

This paper addresses the problem of delivering data packets for highly dynamic mobile ad hoc networks in a reliable and timely manner. Most existing ad hoc routing protocols are susceptible to node mobility, especially for large-scale networks. Driven by this issue, we propose an efficient Position-based Opportunistic Routing (POR) protocol which takes advantage of the stateless property of geographic routing and the broadcast nature of wireless medium. When a data packet is sent out, some of the neighbor nodes that have overheard the transmission will serve as forwarding candidates, and take turn to forward the packet if it is not relayed by the specific best forwarder within a certain period of time. By utilizing such in-the-air backup, communication is maintained without being interrupted. The additional latency incurred by local route recovery is greatly reduced and the duplicate relaying caused by packet reroute is also decreased. In the case of communication hole, a Virtual Destination-based Void Handling (VDVH) scheme is further proposed to work together with POR. Both theoretical analysis and simulation results show that POR achieves excellent performance even under high node mobility with acceptable overhead and the new void handling scheme also work well.
The Relationship Between Marijuana Prices at Different Market Levels

This paper uses annual data from 1980-1998 to test two models of the relationship between wholesale and retail marijuana prices. Results from regressions of retail prices on wholesale prices reject a multiplicative model, in which the difference in prices between levels is proportional to the wholesale price, in favor of an additive model, in which the price difference is a fixed amount. This finding reduces the attractiveness of policies aimed at increasing wholesale marijuana prices, since the retail price response to a wholesale price change is roughly equivalent to the amount, rather than the percentage, of the change at the wholesale level. (JEL D40, I18, K42)
Automatic Personalized Marathi Content Generation

The purpose of the present work is to create a system to retrieve personalized documents in Marathi Language. The system mainly focuses on providing personalized documents to the end user by analyzing the browsing history and user profile of the user in Marathi language. The system also provides manual bookmark facility to the end user as per the user interest. This paper provides personalization of Marathi text documents by using Label Induction Grouping [LINGO] Algorithm based on Vector Space Model [VSM]. This paper presents the automatic personalization of Marathi documents and literature survey of the related work done in automatic categorization of Marathi text documents. Several learning techniques exist for the classification of text documents like Decision Trees, Support Vector Machine, Naïve Bayes, etc. Several clustering techniques are available for text categorization namely K-means, Suffix Tree Clustering, Label Induction Grouping Algorithm, etc. With the help of literature survey, it is found that Vector Space Model [VSM] gives better accuracy than other models.
Improving the Scalability of Geo-replication with Reservations

Geo-replicated systems improve performance and fault tolerance by replicating data on sites in different physical locations. Because of performance and scalability costs of strong consistency, these systems rely on eventual consistency that improves performance but might violate application invariants. In this work, we exploit reservation techniques to strengthen eventual consistency, by protecting specific invariants without adding synchronization in the critical path. We define a consistency model called RPB that retains the advantages of eventual consistency, while enforcing stronger guarantees, including causality and safety properties.
Finding pulsars with LOFAR

We investigate the number and type of pulsars that will be discovered with the low‐frequency radio telescope LOFAR. We consider different search strategies for the Galaxy, for globular clusters and for galaxies other than our own. We show an all‐sky Galactic survey can be optimally carried out by incoherently combining the LOFAR stations. In a 60‐day all‐sky Galactic survey LOFAR can find over a thousand pulsars, probing the local pulsar population to a very deep luminosity limit. For targets of smaller angular size, globular clusters and galaxies, the LOFAR stations can be combined coherently, making use of the full sensitivity. Searches of nearby northern‐sky globular clusters can find large numbers of low luminosity millisecond pulsars (eg. over 10 new millisecond pulsars in a 10‐hour observation of M15). If the pulsar population in nearby galaxies is similar to that of the Milky Way, a 10‐hour observation can find the 10 brightest pulsars in M33, or pulsars in other galaxies out to a distance of 1.2 Mpc.
Electronic medical referral system: A forum-based approach

In the medical field, it is common practice for physicians to refer to and consult one another to complete patients' medical treatment. The transfer of a patient from one physician to another is termed a referral. Medical referrals are not straightforward; a successful referral requires finding an available physician with the proper specialty. The focus of this paper is to understand the workflow of the referral process in Canada's public healthcare system, and propose a health informatics system to move the referral process into electronic form. The solution involves a forum-based approach that provides a common communication medium for healthcare professionals involved in the referral process.
Near-Optimum Pilot and Data Symbols Power Allocation for MIMO Spatial Multiplexing System With Zero-Forcing Receiver

Power allocation between pilot and data symbols is investigated for multiple-input and multiple-output (MIMO) spatial multiplexing (SM) system with zero-forcing receiver and minimum mean square error (MMSE) channel estimation under flat block-fading channel. Based on a modified zero-forcing receiver, which takes channel estimation error into account, a new power allocation scheme to maximize the average post-processing signal-to-noise-ratio (SNR) is proposed. This scheme only requires the computation of scalars and does not need any form of channel coefficients feedback. Simulation results show that the proposed scheme outperforms simple equal power allocation with an improvement of around 3 dB and 2 dB for QPSK and 16-QAM modulations when FER = 10-2, respectively.
Internal Model Controller Design Method in Discrete Non-square Multivariable System

With the wide application of computer and DCS in industry, the discrete controller has begun to play an important role in the process industry, thus leading internal model controller, which has good tracking performance, become the focus of the researchers’ study [1]. Meanwhile, industrial field exists a large number of non-square multivariable systems, therefore it is significantly practical to study on non-square system. So this paper puts forward the design scheme of internal model controller, based on the discrete control system. At first, the paper presents the concept of discrete channel gain, and through discrete channels relative gain, square subsystem can be chose from non-square system. Then by using the square subsystem, the controller is designed. However, if the system is designed in this way, the control effect and the robustness of system will not be perfect. To solve this problem, we add a low pass filter based on the original control system. Through this way, the robustness and stability of the system will be increase. Copyright © 2013 IFSA.
A Harmony Search-Based Differential Evolution Method

The Differential Evolution (DE) and Harmony Search (HS) are two well-known nature-inspired computing techniques. Both of them can be applied to effectively cope with nonlinear optimization problems. In this paper, we propose and study a new DE method, DE-HS, by utilizing the fresh individual generation mechanism of the HS. The HS-based approach can enhance the local search capability of the original DE method. Optimization of several benchmark functions and a real-world wind generator demonstrate that our DE-HS has an improved convergence property.
The Exploration vs Exploitation Trade-Off in Bandit Problems: An Empirical Study

We compare well-known action selection policies used in reinforcement learning like ǫ-greedy and softmax with lesser known ones like the Gittins index and the knowledge gradient on bandit problems. The latter two are in comparison very performant. Moreover the knowledge gradient can be generalized to other than bandit problems.
The Distance to the Large Magellanic Cloud

The author demonstrates that the two unexpected results in the local Universe: anomalous intrinsic (V--I){sub 0} colors of RR Lyrae stars and clump giants in the Galactic center, and very short distances to Magellanic Clouds inferred from clump giants, can be at least partially resolved with a modified coefficient of selective extinction A{sub V}/E(V--I). With this modification, the author found a new clump-giant distance modulus to the Large Magellanic Cloud, {mu}{sub LMC} = 18.27 {+-} 0.07, which is 0.09 larger than the Udalski (1998b) result. When distance estimates from the red clump, RR Lyrae stars and the eclipsing binary HV2274 are combined, one obtains {mu}{sub LMC} = 18.31 {+-} 0.04 (internal).
Shortest Paths with Single-Point Visibility Constraints

This paper studies the problem of finding the shortest path between two points in presence of single-point visibility constraints. In this type of constraints, there should be at least one point on the output path from which a fixed viewpoint is visible. The problem is studied in various domains including simple polygons, polygonal domains, polyhedral surfaces. The method is based on partitioning the boundary of the visibility region to a number of intervals according to shortest path structure of their points to both source and destination. The result for the two dimensional domains is worst-case optimal.
An intrusion detection method based on KICA and SVM

Recently, support vector machine (SVM) has become a popular tool in classification, feature extraction is an important step in developing a successful classifier. In this paper, a novel intrusion detection method based on KICA and SVM is proposed. In the proposed method, KICA is applied to extraction features from the raw data set captured from the network, and these features extracted by KICA is used as input data of SVM, which can learn from the input data. Based on the good performance of SVM in generalization, experimental results show that this model can not only detect existed attacks but also new attacks, even the accuracy is improved remarkably.
Analytical Processing of PDB Ligand Fragments and Protein Environment directly on the Web

The PDB protein-ligand complexes are the main public resource that provides detailed chemical environment information for atomic level interactions between the ligand and the protein. In order to investigate relevant research questions PDB users have often to extract this data manually or semiautomatically. The public MSD search relational database hosted by the EBI has been designed to address exactly this type of research providing data on ligand chemistry, secondary structure assignment, binding site interactions and cross-references to sequence and protein classification databases. Furthermore, the MSD-mine www service offers the capability to perform ad-hoc flexible queries, interactive statistical chart generation and analytical processing, directly on the web. Key-Words: Protein Structure Databases; Ligands; Binding Sites; Decision Support Systems, Management; Data Analysis; Statistical Study; Tables and Charts