Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey On Suspicious Object Detection

Object detection is the process of finding specific object from real-world such as moving and nonmoving objects in CCTV videos. Where all the videos extracted from the CCTV surveillance camera is identify as foreground image and compare continuously in real time. Then it performs background subtraction method. Motion based criteria needs to be applied for static and moving objects detection. Proposed method can detect suspicious objects within surveillance videos, and it is also robust to the varying illuminations and dynamic background. This system is basically proposed for making the public places safe and secure from terrorist attack where suspicious object may have luggage, package and many other harmful equipment.
Complex Event Processing Based User-Friendly Web Data Extraction

: Internet presents a huge amount of useful information which is usually formatted for its users, which makes it difficult to extract relevant data from various sources. The availability of robust Information Extraction (IE) systems that transform the web pages into program-friendly structures such as a Relational Database has become a great necessity. Although, many approaches for data extraction from web pages have been developed, there has been limited effort to compares such tools. The data on the web is highly unstructured. There is a need some algorithm that can generate the structure from this unstructured data automatically without any manual intervention. The proposed tool is more efficient then the state of the art tools available for web data extraction. In this paper, a general purpose Web Data Extractor called as WDE, that performs well in both rigidly and loosely structured records in an HTML document is described. Our tool has been evaluated on several kinds of web pages, including product listings, search engine results pages, sports scoreboards, forums, and blogs. A Framework incorporating WDE and Complex Event processing may be evolved to process online advertisement and the interested target audience.
Help Seeking Attitudes and Willingness to Seek Psychological Help: Application of the Theory of Planed Behavior

Though there is a high level of mental health related difficulties among university students, only one third of them seek psychological help despite the evidence-based treatments for mental health problems. Therefore, this paper examines the help seeking attitudes towards psychological help services and willingness to seek psychological help based on the Theory of Planned Behavior (TPB). Attitudes, subjective norms, and behavioral control were measured using the Inventory of Attitudes toward Seeking Mental Health Services (IASMHS). Barriers for seeking psychological help were measured using Mental Health Service Utilization Questions (MHSUQ) whereas intention to seek psychological help was measured using the General Help Seeking Questionnaire – Vignette Version (GHSQ-V). 600 students were interviewed from three Sri Lankan state universities from January 2015 to March 2015. Results suggested that positive attitudes towards psychological help service positively associate with greater willingness to seek psychological help. Further, female students show a greater attitude seeking psychological help than male students. The most common barrier reported by students was that the fear of what relatives, friends might think. In contrast, students who follow psychology as a subject have a significantly higher level of positive attitude towards seeking psychological help than the students who do not follow. Findings suggest that mental health campaigns are required to focus their attention to change the negative attitudes towards mental health services among university students. Further, it highlights the importance of changing the public attitudes towards mental illnesses.
k-NN Multimedia Retrieval in Unstructured Peer-to-Peer Networks

AbstractRecent years saw the rapid development of peer-to-peer (P2P) networks in a great variety of applications. However, similarity-based k-nearest-neighbor retrieval (k-NN) is still a challenging task in P2P networks due to the multiple constraints such as the dynamic topology and the unpredictable data updates. Caching is an attractive solution that reduces network traffic and hence could remedy the technological constraints of P2P networks. However, traditional caching techniques have three major shortcomings when dealing with nearest-neighbor retrieval: First, they rely on exact match and therefore are not suitable for approximate and similarity-based queries. Second, the description of cached data is defined based on the query context instead of data content, which leads to inefficient use of cache storage. Third, the description of cached data does not reflect the popularity of the data, making it inefficient in providing QoS-related services. To facilitate the efficient similarity search, we propose semantic-aware caching scheme (SAC) in this paper. Several innovative ideas are used in the SAC scheme: 1) describing a collection of data objects using constraint-based expression showing the content distribution, 2) adaptive data content management, and 3) non-flooding query processing. By exploring the content distribution, SAC drastically reduces the cost of similarity-based k-NN retrieval in P2P networks. The performance of SAC is evaluated through simulation study and compared against several search schemes as advanced in the literature.
An Effective Cloud Service Reservation Through Negotiation

: When making reservations for Cloud services, the consumer should provide with price and time slot for the service. The provider gives the price and time slot which are available, then the particular service will be provided to the user by negotiation of both price and time. Since there is a negotiation on price and time slot, the requested service may be unavailable. So, consumers can give multiple proposals for a service. After the reservation is done the job is monitored to get the QoS violations. When there is a malfunction certain actions will be carried out for the remedy like requesting for resources if necessary. To get a highest possible QoS assurance the negotiation uses a trade off algorithm which makes available of the resources to the services requested. When the task done by the consumer is over before the reserved time the QoS can’t be obtained effectively because of the idle state. So the resource will be given to other consumer to be utilized which improves the QoS of the Cloud service reservations.
Image Classification Algorithm based on Multi-Feature Extraction and KNN Classifier

:- The classification is task of data mining where the algorithms are first trained on the patterns and then classified according to their past experience. The proposed image classification technique works in similar fashion, thus first the set of well-defined images with their classes are used to train the model and after training the model is used to identify the classes of the test set.In order to train and test the model multiple low-level features of image such as texture, colour and edges are used . The proposed algorithm uses local binary pattern for texture featureextraction, canny edge descriptor for edge detection and colour moment for colour feature extraction. These features are used with the KNN (k-nearest classifier) for finding the similarity of the domain specific images.The experiment results of proposed work show that multiple feature extraction techniques improve classification performance as compared to single local binary pattern feature extraction technique.
EFFECTIVE APPROACH FOR CONTENT BASED IMAGE RETRIEVAL IN PEER - PEER TO NETWORKS

Peer - to - peer networking offers a scalable solution for sharing multimedia data across the network . With a large amount of visual data distributed among different nodes, it is an important but challenging issue to perform content - based retrieval in peer - to - peer networks . While most of the existing methods focus on indexing high dimensional visual features and have limitations of scalability, in this paper we propose a scalable approach for content - based image retrieval in peer - to - peer networks by employing the bag - of - visual words model . Compared with centralized environments, the key challenge is to efficiently obtain a global codebook, as images are distributed across the whole peer - to - peer network . In addition, a peer - to - peer network often evolves dynamically, which makes a static codebook less effective for retrieval tasks . Therefore, we propose a dynamic codebook updating method by optimizing the mutual information between the resultant codebook and relevance information, and the workload balance among nodes that manage different codewords . In order to further improve retrieval performance and reduce network cost, indexing pruning techniques are developed . Our comprehensive experimental results indicate that the proposed approach is scalable in evolving and distributed peer - to - peer networks, while achieving improved retrieval accuracy .
PSYCHOMETRIC EVALUATION ON THE TURKISH ADAPTATION OF THE SCIENTIFIC ATTITUDE INVENTORY

The purpose of this study is to adapt Scientific Attitude Inventory-II into Turkish and to examine its factor structure. The English and Turkish versions of the scale were tested out on the students in the Department of English Language Teaching (N=40) at Dokuz Eylul University a week apart and a high degree of correlation was found between the scores of the two applications. Then Confirmatory Factor Analysis (CFA) was conducted with the data collected from 292 students in order to examine the factor structure of the scale. Following the CFA, 12, 6, 3 and 1 factor structures did not fit the data. When Exploratory Factor Analysis was conducted with the same data set, it was determined that the items in the scale could be grouped under four factors. The scale was tested out on different 255 students and CFA was conducted again. After the CFA, the four-factor structure was found to be adequate fit with the data. Key words: confirmatory analyses, exploratory analyses, psychometric evaluation, scientific attitude inventory.
Speech Intelligibility Enhancement in the context of Hearing-Impairment

The current paper focuses on the enhancement of an important attribute of clear speech, consonant-vowel Intensity Ratio on listeners suffering from Sensorineural hearing loss. This work is an extension of author’s previous papers. A case for synthetic clear speech in the context of hearing impairment was tested on (i) Hearing Impaired subjects, and (ii) Normal hearing subjects in the presence of masking noise ( +6dB, +12 dB). Consonant recognition in noise free and noisy situations using nonsense syllable test was investigated. The Stops and Fricative consonants of English language with cardinal vowels were processed for consonant-vowel intensity modifications ranging from 0dB to + 12dB at 3dB step. The speech perception in noise tests were quantified in terms of Consonant Recognition scores and Information transmission analysis measures. The results reported that the consonant-vowel intensity ratio modification of +9 to +12dB has positive effect on speech intelligibility improvement for both Hearing-impaired and Normal-hearing listeners. The maximum intelligibility benefit in Information transmitted scores were reported as 44, 45 percent points for HI listeners and 18, 31 percent points for masked normal-hearing listeners for /SV/ and /FV/ syllables respectively.
CODEN (USA): IJPSPP Lysozyme hydrochloride Inhibits Cytokines in Epithelial Cells with Respiratory Syncytial Virus Infection: a Brief Report

Lysozyme hydrochloride, derived from Hen Egg Lysozyme, is one of classical anti-airway inflammatory drugs. It has been widely administered in Japan, but its molecular potential is unknown. To confirm this classical drug as anti-inflammatory agent, pro-inflammatory cytokines in Epithelial Cells infected by RSV with lysozyme hydrochloride were measured. Lysozyme hydrochloride suppressed the production of IL-6, IL-1β, G-CSF although IL-8 and IFN-γ was not changed. Lysozyme hydrochloride inhibits pro-inflammatory cytokines in Epithelial cells infected with Respiratory Syncytial Virus, and may affect to airway inflammation.
Interval Type-2 Fuzzy Logic Controller for DC-DC Converter

In this paper an Interval Type2 Fuzzy Logic (IT2FL) controller is proposed for the control of DC-DC converters to attain a good output voltage regulation and dynamic response. The buck and boost type DC-DC converters are considered for the implementation of the IT2FL controller. To study the effects on the system performance, the conventional PI and type-1 fuzzy controller are designed and compared with interval type-2 fuzzy controller. Design of PI control is based on the frequency response of the DC-DC converter. Design of IT2FL controller is based on heuristic knowledge of converter behavior and tuning requires some expertise to minimize unproductive trail and errors. The setting time, the overshoot and the steady state error of the converter are used as the performance criteria for the evaluation of the controller performance. From the comparison, it is inferred that IT2FL controller will give better result than other controllers.
452-455 Final-26a-22-Xiabo-Cancer cells April 21 2015

Circulating tumor cells (CTCs) are shed into the peripheral blood from primary and metastatic tumor mass. Their isolation and subsequent molecular analysis hold promise for the cancer diagnostics, therapeutics, and prognostics. So far, several platforms have been developed for detection and isolation of CTCs. However, none of them have unequivocally shown clinical validity. Recently, high-throughput content screening technology has been used to exam unpurified cell populations. In brief, nucleated cells from peripheral blood are enriched onto substrate surfaces and subjected to examination. This method has great potential towards enabling unbiased analysis of CTCs. In pretreatment, fixed cells can be stained and then attached; in the other scenario, viable cells are attached, fixed and stained. Here, we have compared the two methods on Poly-Llysine and amino silane functionalized surfaces. Our results show that viable cells can achieve approximately 98.7% binding yields on silane-coated surface within 30 min incubation at room temperature. The CTC detection platforms based on high throughput screening would benefit from this conclusion.
The Local Public Policy with Planetary Health using Executive Information System

6244 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: D5102118419/2019©BEIESP DOI:10.35940/ijrte.D5102. 118419 Abstract: Planetary health involves balancing the needs and sustaining the world in order to preserve the health and the wellbeing of humankind based on the environmental changes of the earth. To improve the foundation of human well-being, the local public policy was initiated for development. The developed process led to environmental improvements. Thus, providing the foundation for human well-being from local public policy to reduce environmental impacts. This paper proposed the decision for a support system and aims to study the local policies formulation process considering the planetary health at Makhamtia Sub-District, Muang District, Suratthani Province, Thailand for local administrative organization chief executive decision making. This work leads to the tool, called PH-EIS system, of local planning support, decision making and management to achieve a balance between human needs and sustainable planetary health. The presented tool applies information technology with a web-based geographic information system to visualize data and to assist environmental monitoring before the real situation occurs by using the previous case learning. The implemented system was deployed in the policy formulation of local administrative organization. This work is tested by the developer and user groups and the result shows that the users are satisfied with the system and denotes the environmental impacts with high accuracy.
Review of Different Optimization Techniques used for Multi-User Detection in CDMA Network

— Code Division Multiple Access is a methodology used by varied communication technologies like wireless communication, radio technology etc. it's a kind of multiplexing, that permits various signals to occupy one transmission channel, optimizing the use of available bandwidth. Different signals have different codes in this. However, generally because of a large number of users, interference results between them which leads to increased bit error rate and also near far problem. Optimization has played a very important role in finding a solution to this problem. The problem can range from finding the shortest path as in traveling salesman problem, to finding the best transmission power to minimize the BER within the signal. Nature has provided several examples of optimization like evolution, bird flying pattern, ants finding food etc and these examples are converted into mathematical models to resolve various optimization problems by varied mathematicians. In this paper, a review of various optimization techniques employed in optimization of Multi-User Detection in CDMA system are described. The objective of optimization is to reduce the Bit Error Rate and increasing the number of users. Comparative study of various optimization techniques is summarized and discussed.
A framework implementation of surveillance tracking system based on PIR motion sensors

A motion tracking system made from affordable hardware components is implemented to be used inside the University of Kufa (UoK) buildings to track and detect any suspicious activities. The current research objectives are to automatically monitor, track intruders using sensors, servo, and camera that occurs around the system using Arduino microcontroller. The mounted camera track, capture the moving object and sending a live broadcast to a receiving host which could be a desktop computer, laptop, tablet or a smartphone. In this study, we consider the problem of automated position estimation using the electronic circuit of inexpensive binary motion sensors. We present simulation and experiments with Passive Infrared (PIR) motion sensors that suggest our current estimator. Fritzing software simulator is used to test and draw the circuits of the system. The proposed design worked efficiently during the experiments and shown high performance with 360 degrees of detection for the sensing environments.
Adequacy of Minimal Capital Requirements for Life Insurance Companies in Kenya

Purpose: The study sought to examine the challenges and strategic responses of Life Insurance Companies in Kenya to the minimum capital requirements. The study was guided by the following specific objectives: to evaluate the adequacy of the proposed minimum capital requirements given the higher risk environment that Insurance Companies are operating within; and to analyse the challenges posed by minimum capitalization and the strategic responses employed by the Life Insurance Companies in Kenya. Methodology: The study focused on all the Life Insurance companies in Kenya, the study respondents being the Chief Executive Officers, who are charged with the responsibility of charting the strategic direction of the respective Life Insurance companies. A case study design was used with a questionnaire as the main data collection tool. In addition, personal interviews were used, guided by an interview schedule. The data was analyzed by employing descriptive statistics such as frequencies, mean scores and standard deviations. Results: The findings of the study show that despite the increase in minimum capital requirement for the various categories of insurance companies, the minimum required capital amounts still fell far below expectations and higher figures were suggested. Indeed the increase in minimal capital requirements had not had a significant effect on the business of the life insurance companies. There is thus need to involve all industry stakeholders in order to arrive at minimum capital requirements that would be agreeable to all, for enhanced effectiveness in the industry. Based on findings of the study, there should be enhanced disclosure of financial information by Insurance companies such that the public will have greater access to information about the financial stability of insurers. The industry regulators should ensure that competition resulting from solvency will force insurers to comply with quality and security standards. Keywords: Adequacy, Minimal capital requirements, Life Insurance Companies
EVALUATING THE DIVERSE ALGORITHMS OF TRANSMISSION CONTROL PROTOCOL UNDER THE ENVIRONMENT OF NS-2

-The purpose of this paper is to analyze and compare the different congestion control and avoidance mechanisms which have been proposed for TCP/IP protocols. In this paper, we analyze and compare the performance metrics of different TCP variants, namely TCP Fack, TCP Sack and Rate Based Pacing to classify which variant of TCP performs better in terms of Throughput, Jitter, End to End Delay, Delivery ratio and how many numbers of packet loss. A table is also drawn which shows the comparison results of the variants. This analysis will be useful in determining the best variant among TCP Protocols to ensure better data transfer, speed, and reliability and congestion control. TCP congestion control has been designed to ensure internet stability along with fair and efficient allocation of network bandwidth. To overcome the congestion problem several congestion control and avoiding mechanisms, namely TCP Fack, TCP Sack, Rate Based Pacing are discussed in this paper.
COMPUTER APPLICATIONS AND ROBOTICS

: - In recent years, huge amount of text data is recorded in the forms of repair verbatim in railway maintenance sectors. Efficient text mining of such maintenance data plays an important role in detecting anomalies and improving fault detection efficiency. However, unstructured verbatim, high dimensional data, and imbalanced fault class distribution pose challenges for feature selections and fault detection. The work proposes two level feature extraction based text mining that combines features extracted at both syntax and semantic levels with the aim to improve the fault classification performance. Firstly back propagation algorithm is used to train the data. Then perform an improved statistics based feature selection at the syntax level to overcome the learning difficulty caused by an imbalanced data set. Then reselect the common features according to both relevance and Hellinger distance. This can be categorized as feature selection at the syntax level. Then, perform a prior LDA based feature selection at the semantic level to reduce the data set into a low dimensional topic space. Then, combine fault features derived from both syntax and semantic levels via serial fusion. Finally, Support Vector Machine (SVM) is used for classification. The proposed method uses fault features at different two levels and enhances the accuracy of fault detection for all fault classes.
Proton Exchange Membrane from the Blend of Copolymers of Vinyl Acetate-Acrylic Ester and Styrene-Acrylic Ester for Power Generation Using Fuel Cell

Proton exchange membranes for fuel cells were synthesized from the blend of copolymers of vinyl acetate-acrylic ester and styrene-acrylic ester, which were modified by sulfonation and addition of silica gel. Water uptake, ion exchange capacity, infrared spectroscopy and tensile tests were applied to characterize the prepared membranes. The results show that the prepared membranes with the processes of sulfonation and loaded with silica have the highest water uptake (92,7%). On the other hand, the sulfonation process lead to membranes with high ion exchange capacity and high mechanical strength (0,68 meq/g and 1,29 MPa, respectively). Therefore, the sulfonated membrane represents an alternative for the application as proton exchange membrane in fuel cells. Keyword-Membrane, Proton exchange, Sulfonation, Silica gel, Fuel cells