Miracle-dz/UniFAR-FTUs huggingface dataset:
Multivariate Analysis Techniques for Optimal Vision System Design

In food quality monitoring, color is an important indicator factor of quality. The CIELab (L∗a∗b∗) color space as a device independent color space, is an appropriate means in this case. The commonly used colorimeter instruments can neither measure the L∗a∗b∗ color in a wide area over the target surface nor in a contact-less mode. However, developing algorithms for conversion of food items images into L∗a∗b∗ color space can solve both of these issues. This paper addresses the problem of L∗a∗b∗ color prediction from multispectral images of di erent types of raw meat. The e ciency of using multispectral images instead of the standard RGB is investigated. In addition, it is demonstrated that due to the ber structure and transparency of raw meat, the prediction models built on the standard color patches do not work for raw meat test samples. As a result, multispectral images of di erent types of meat samples (430-970 nm) were used for training and testing of the L∗a∗b∗ prediction models. Finding a sparse solution or the use of a minimum number of bands is of particular interest to make an industrial vision set-up simpler and cost e ective. In this paper, a wide range of linear, non-linear, kernel-based regression and sparse regression methods are compared. In order to improve the prediction results of these models, we propose a supervised feature selection strategy which is compared with the Principal component analysis (PCA) as a pre-processing step. The results showed that the proposed feature selection method outperforms the PCA for both linear and non-linear methods. The highest performance was obtained by linear ridge regression applied on the selected features from the proposed Elastic net (EN) -based feature selection strategy. All the best models use a reduced number of wavelengths for each of the L∗a∗b∗ components.
A Computational Model that Recovers Depth from Stereo-Input without Using Any Oculomotor Information

It is commonly believed that the visual system requires oculomotor information to perceive depth from binocular disparity. However, any effect of the oculomotor information on depth perception is too restricted to explain depth perception under natural viewing conditions. In this study, I describe a computational model that can recover depth from a stereo-pair of retinal images without using any oculomotor information. The model shows that, at least from a computational perspective, any oculomotor information is not necessary for perceiving depth from the stereo retinal images.
of the Annual Meeting of the Cognitive Science Society Title Semantic Packing As a Core Mechanism of Category Coherence , Fast Mapping and Basic Level Categories Permalink

In the present study, category coherence, a question why intuitive groupings for natural categories exist, is considered by applying a computational theory that models discrimination and generalization. The computational process is what we called “semantic packing”. In the model, category learners’ two conflicting constraints on discrimination and generalization are optimized simultaneously as if it packed knowledge into memory. The model also revealed a computational structure of efficient categories, called basic categories, by mathematical proof and exemplification of the relationship between the past proposed theory and our theory. Furthermore, the empirical evidence of the theory from human semantic rating was shown and used for testing predictability of novel natural categories. The results suggest that semantic packing could reproduce the configuration of natural categories from only their generalization without any knowledge as fast mapping in which children can generalize a novel instance without trial and error. In summary, the semantic packing could be a core mechanism of the three essential categorization processes, category coherence, fast mapping, and basic level category.
The Creolization of Pidgin: A Connectionist Exploration

According to Derek Bickerton’s (1984) Language Bioprogram Hypothesis (LBH), creole genesis, the process by which a Pidgin language develops into a Creole, can only be explained by appealing to Chomskian nativism. Contra Bickerton, substratists contend that creole genesis is influenced, crucially, by substratum languages. We propose to review the nativist/substratist debate in creolistics under the light of connectionist theory. An analysis of simple recurrent networks exposed to different pidgin-cum-substrate environments may shed light, we suggest, upon the issue of whether a Universal Grammar (UG) is required.
Information Systems Development with Pair Programming: An Academic Quasi-Experiment

Pair Programming is a development technique in which two programmers collaborate to conduct the same development task. The use of this technique in information systems development may support many activities, such as code inspection and software integration. Studies have investigated the advantages and drawbacks of pair programming in both industrial and academic context. However, with respect to academic research, the majority of studies investigate this technique in European or North American educational institutions. Considering that some social and geographic factors may impact on the application and efficiency of agile methods such as pair programming, we lack an evaluation of this programming practice in the context of Brazilian students. In this paper, we discuss the findings of three one-hour quasi-experiments conducted with 55 undergraduate and graduate students to assess pair programming in the development of tasks to implement an information system. These participants are students enrolled in Information Systems and related courses of two Brazilian institutions. For the experiment, we divided each class in two groups: one group for solo programming and the other for pair programming. As a result, we observed that participants developing tasks in pairs presented lower rates of time spent and difficulty faced to complete development tasks when compared with solo programming participants. However, we did not observe a significant increase on the correctness in tasks developed by both experiment groups: paired and solo programmers. Finally, we conducted an analysis of participant feedback regarding other advantages of using pair programming in systems development.
Real-time anomaly detection with in-flight data: streaming anomaly detection with heterogeneous communicating agents. (Détection des anomalies sur les données en vol en temps réel avec des agents communicants hétérogènes)

Avec l'augmentation du nombre de capteurs et d'actuateurs dans les avions et le developpement de liaisons de donnees fiables entre les avions et le sol, il est devenu possible d'ameliorer la securite et la fiabilite des systemes a bord en appliquant des techniques d'analyse en temps reel. Cependant, etant donne la disponibilite limite des ressources de calcul embarquees et le cout eleve des liaisons de donnees, les solutions architecturelles actuelles ne peuvent pas exploiter pleinement toutes les ressources disponibles, limitant leur precision.Notre but est de proposer un algorithme distribue de prediction de panne qui pourrait etre execute a la fois a bord de l'avion et dans une station au sol tout en respectant un budget de communication. Dans cette approche, la station au sol disposerait de ressources de calcul rapides et de donnees historiques et l'avion disposerait de ressources de calcul limitees et des donnees de vol actuelles.Dans cette these, nous etudierons les specificites des donnees aeronautiques et les methodes deja existantes pour produire des predictions de pannes a partir de ces dernieres et nous proposerons une solution au probleme pose. Notre contribution sera detaille en trois parties.Premierement, nous etudierons le probleme de prediction d'evenements rares cree par la haute fiabilite des systemes aeronautiques. Beaucoup de methodes d'apprentissage en classification reposent sur des jeux de donnees equilibres. Plusieurs approches existent pour corriger le desequilibre d'un jeu de donnee et nous etudierons leur efficacite sur des jeux de donnees extremement desequilibres.Deuxiemement, nous etudierons le probleme d'analyse textuelle de journaux car de nombreux systemes aeronautiques ne produisent pas d'etiquettes ou de valeurs numeriques faciles a interpreter mais des messages de journaux textuels. Nous etudierons les methodes existantes basees sur une approche statistique et sur l'apprentissage profond pour convertir des messages de journaux textuels en une forme utilisable en entree d'algorithmes d'apprentissage pour classification. Nous proposerons notre propre methode basee sur le traitement du langage naturel et montrerons comment ses performances depassent celles des autres methodes sur un jeu de donnee public standard.Enfin, nous offrirons une solution au probleme pose en proposant un nouvel algorithme d'apprentissage distribue s'appuyant sur deux paradigmes d'apprentissage existant, l'apprentissage actif et l'apprentissage federe. Nous detaillerons notre algorithme, son implementation et fournirons une comparaison de ses performances avec les methodes existantes
The History of Sisters in Islam

The emergence of Sisters in Islam (SIS) in Malaysia begins with their dissatisfaction of the implementation of certain new Islamic Family Law that had been legislated in 1984. In 1987, a group of women were not satisfied with certain law of the new Islamic Law when it was enforced in Shariah courts. They claimed that some existing laws which are implemented in the Shariah court in Malaysia are biased and discriminatory against Muslim women. The members of the group aim to reinterpret the texts of Islam because they believe that their proposed interpretations should be able to solve problems arising in society, especially those related to what they claim as gender inequality and human rights. Then, they proposed the method of a model of Qur’anic hermeneutics. This article found that the method of problem solving through a model of Qur’anic hermeneutics used by SIS does not fulfil the requirements of acceptable method for Qur’anic interpretation from an Islamic perspective.
Shared 3D Workspaces

The literature on Computer Supported Collaborative Work (CSCW) includes considerable research on 2D shared spaces and metaphors. Much less exists concerning 3D shared spaces and metaphors. This report defines terminology relevant to shared 3D workspaces, summarizes a number of areas within the literature on 2D and 3D interaction and collaboration, and identifies pertinent issues for further research. Among the issues identified are: - Can a 2D shared space metaphor be extended to 3D? - How is interaction different in 3D than in 2D? - Can metaphors for single-user 3D interaction be extended to shared 3D interaction?
Content-based Image Retrieval of Environmental Microorganisms Using Double-stage Optimisation-based Fusion

Environmental Microorganisms (EMs) are very tiny living beings which impact the entire biosphere by their environmental functions. Traditionally, a lot of manual efforts through morphological analysis using microscopes have been put on looking for EMs. However, these methods are time-consuming and laborious. To this end, we develop a Contentbased Image Retrieval (CBIR) system for the EM image retrieval task within a Doublestage Optimisation-based Fusion framework. In the first stage, in order to effectively use the colour information of EM images, a Multiple Colour Channel Fusion (MCCR)method based on a Particle Swarm Optimisation (PSO) is developed to search for similar database images to a query image using local features. In the second stage, in order to enhance the retrieval performance of the first stage, a retrieval method based on Immune Evolutionary Particle Swarm Optimisation - Shuffled Frog Leaping Algorithm (IEPSO-SFLA) is devised to further combine global features. Finally, the experimental result shows that our doublestage fusion method obtains a mean average precision of 35:87% for 21 classes of EMs, which is superior to the existing method.
Dynamics of combined oral contraceptive: a study of some biochemical parameters in female wistar rats -

Contraception is the intentional prevention of fertilization from taking place through the use of various devices, sexual practices, barrier methods and hormonal contraception. Contraception is as old as human existence. Oral contraceptives are a simple form of contraception used by women worldwide. The oral contraceptive is one of the greatest and most influential developments of the twentieth century.Haematopoiesis is the process by which all lineages of blood cells are generated in a hierarchical and stepwise manner from immature cells present in the bone marrow (BM)’ and subsequently released into circulating blood and peripheral organs for further maturation steps and/or effector function.Several haemorheological and haemostatic parameters has been associated closely with hormone replacement therapy. Such parameters include blood viscosity, plasma viscosity, haematocrit value, fibrinogen level and fibrinolytic activity. This research priority included efforts to discover the effect of COC (DUOFEM) on haematological parameters. Method: Eighty (80) female wistar rats aged 10-12 weeks weighing 180-250 g were used for the study. They were divided into four groups of 20 rats each comprising 10 treated and 10 control rats. The treated rats received 0.6mg/kg body weight of COC intragastically for 36, 48, 60 and 72 days in five-day cycles (four-days treatment with one-day break). The COC was given intragastically in 5-day cycles (4-day treatment with 1-day break). All controls were given fresh water at ad libitum daily for the period of the experiment.The blood sample was drawn into the test tube containing an anticoagulant (EDTA). A haematology analyzer was used to perform a complete blood count (CBC or FBC). It carries out quantitative and qualitative analyses of red and white blood cells and of platelets (erythrocytes, leukocytes and thrombocytes). RESULTS: There were significant decreased in haemoglobin ( Hb, ),Packed cell volume (PCV),Red blood cell count( RBC), White blood cell count (WBC),and Lymphocytesin treated groups, compared to the control (P<0.05). There were significant increase in MCHC and N in treated groups compared to the control (P< 0.05). There were however no significant changes in platelet count, MPV, MCV, MCH, M, N, E and B in treated groups compared to the control( P<0.05).
The Development of an Intelligent Helicopter Performance Instrument System Incorporating Human Factors and Skilled Based Expertise

Studies by Iseler and De Maio (2001) suggest that the helicopter accident rate in the USA is 10 times that of airline accidents, with 20% attributed to pilot error. US Army/NASA studies (Hart 1998) have developed a number of strategies with the goal of reducing the helicopter accident rate including real-time prediction, measurement and pilot cueing. Hardy and Thatcher (2004) described early development work in designing an intelligent helicopter performance instrument system that conducts performance predictions in real time that is being pursued with the aim of providing pilot cueing indicating sufficient performance is or is not available for takeoff, landing and maneuvering flight phases. This paper further describes the research work completed to date including the developmental instrument system that has been assembled from commercial-off the shelf hardware and software that will allow rapid prototyping from results of in-flight performance and human factors testing. The helicopter performance instrument system could significantly reduce pilot workload and enhance safety. It has the potential to assist in reducing the accident rate associated with collisions with the ground during takeoff and landing attributed to the pilot being unaware of insufficient performance of the helicopter.
A comparison of Data Driven models of solving the task of gender identification of author in Russian language texts for cases without and with the gender deception

In this work we compare several data-driven approaches to the task of author’s gender identification for texts with or without gender imitation. The data corpus has been specially gathered with crowdsourcing for this task. The best models are convolutional neural network with input of morphological data (fl-measure: 88%±3) for texts without imitation, and gradient boosting model with vector of character n-grams frequencies as input data (f1-measure: 64% ± 3) for texts with gender imitation. The method to filter the crowdsourced corpus using limited reference sample of texts to increase the accuracy of result is discussed.
Towards a methodology for lossless data exchange between NoSQL data structures

The variety of data structures used by NoSQL databases (e.g. key-value, document, triple store, graph) is evidence of the variety of ways in which data is used within an enterprise. Data in triple-stores that are aligned to semantically rich ontologies are useful for discovery and all-source analysis while data in key-value stores are useful for massive scale high-speed computing. Within an enterprise that utilizes multiple types of NoSQL databases the exchange of data from one to another, if accomplished, usually comes at the cost of losing some amount of content. A methodology of lossless data exchange that utilizes semantic metadata libraries is described.
Towards Real-Time Robotic Motion Planning for Grasping in Cluttered and Uncertain Environments

Adaptation to unorganized, congested and uncertain environment is a desirable capability but challenging task in development of robotic motion planning algorithms for object grasping. We have to make a tradeoff between coping with the environmental complexities using computational expensive approaches, and enforcing practical manipulation and grasping in real-time. In this paper, we present a brief overview and research objectives towards real-time motion planning for grasping in cluttered and uncertain environments. We present feasible ways in approaching this goal
Using the activity method to enhance students' performance in energy transformation

The study sought to investigate the effects of Activity Method (AM) on 53 Junior High School students’ performance in energy transformation at the Sekyere South District of the Ashanti Region of Ghana. The study investigated the comparative efficiency of the AM and the traditional lecture method in energy transformation in Integrated Science. A pretest-posttest action research design was used as the main design for the study. The students from the experimental group were taught with the AM whereas the students from the control group were taught with the traditional lecture method. Means, standard deviations, and Mann-Whitney U tests were used to analyze the scores from the pretest and posttest scores of the students. The findings from the study show that the students from the experimental group performed creditably well than the students from the control in the posttest. Hence, the AM enhanced the performance of the students in energy transformation.
Archaeology of 17th‐Century Iberian Shipwrecks: reassessment and comparison of excavated, recorded, and published hull remains

Abstract Of 55 17th‐century wrecks located around the world identified as Iberian, 37 have either been destroyed, looted, or salvaged by treasure hunters, and just 11 the subject of archaeological work. Of these, only seven have been published: structural components, planking, fasteners, caulking, and other hull remains are reported to different degrees of detail. This article compares hull components within this small sample to assess the shared traits, or distinctive Iberian shipbuilding tradition, proposed by Oertling (2001; 2005), Castro (2008), and Hormaechea et al. (2018: 64–65). Additional traits are proposed that have been observed in the archaeological record.
Cluster-based wireless mobile ad-hoc network security

CLUSTER-BASED WIRELESS MOBILE AD-HOC NETWORK SECURITY by Mandur Bajra Bajracharya A wireless ad-hoc network is a cooperative communication network deployed with a specific purpose. It is characterized by dynamically changing topology with no fixed infrastructure which exhibits a perfectly vulnerable state for a number of different kinds of attacks. This thesis proposes a novel technique of achieving security in wireless mobile ad hoc networks by integrating a simple clustering and a voting mechanism together. The purpose of forming a cluster is to facilitate security in the network and the voting is performed to support the decision making process in the cluster. A procedure of forming small homogenous clusters throughout the network has been proposed and used to suggest different ways of intrusion detection and response. An effort has been made to show how these nodes can be dynamically grouped into clusters by using only the MAC layer. The fundamental premise of the proposed security scheme is based on the policy "do not let neighbors cheat". Other key issues addressed in the thesis are managing the cluster, assessing performance of cluster members by performing comparative analysis of recorded statistics with the pre-existing values, and voting to decide the action required to be taken to keep the network safe. Cluster based security is obtained in wireless ad hoc networks by employing a distributed Intrusion Detection System (IDS). Each of the mobile nodes 'listens' to the traffic constantly and collects local data to form a table. Since no cluster heads are maintained in a cluster, whenever a node detects an anomaly in the network, it consults its cluster members and derives a decisive response. Consultation is done primarily by a voting process. Each of the cluster members vote on the basis of statistics they have collected in their local statistics table. Majority voting is accepted and action is taken under the predefined law. Similarly, when a node experiences pressure because of network traffic or other network activities, it asks for assistance from its cluster members, and assistance is provided as per directives given to each node. OPNET, a network simulation tool, has been used to simulate the formation of a cluster and measure the time required under various conditions. CLUSTER-BASED WIRELESS MOBILE AD-HOC NETWORK SECURITY by Mandur Bajra Bajracharya A Thesis Submitted to the Faculty of New Jersey Institute of Technology in Partial Fulfillment of the Requirements for the Degree of Master of Science in Telecommunications Department of Electrical and Computer Engineering
Açıköğretimde kullanılan sınavlardan Klasik Test Kuramına ve Madde Tepki Kuramına göre elde edilen yetenek ölçülerinin karşılaştırılması

Ogrenci basarisinin gercege uygun kestirilmesi her zaman onemli bir sorun olmustur. Klasik Test Kurami ve Madde Tepki Kurami ogrenci basarisini gercege yakin kestirmek amaciyla gelistirilmis yaklasimlardir. Iki kuram icin de testin cok boyutlu olup olmadigi onemli bir problemdir. Bu calismada 150000 kisiden daha fazla kisinin katildigi genis katilimli bir sinavin cok boyutlu olup olmadigi DIMTEST ve NOHARM yontemiyle incelenmistir. Yapilan analizler sonucunda sinavin iki boyutlu oldugu gorulmustur. Verilerin hangi madde tepki kurami modeline uyum gosterdigini bulmak amaciyla yapilan analizler sonucunda verilerin 3 parametreli lojistik modele daha iyi uyum gosterdigi gorulmustur. Klasik test kuramina ve madde tepki kuramina dayali yetenek kestirimleri arasindaki iliskilerin farkli kitapciklarda 0,801 ile 0,894 arasinda degistigi saptanmistir. Iki kurama dayali yetenek kestirimlerinin benzer olmakla birlikte birbirlerinin yerine kullanilamayacagi sonucuna ulasilmistir.