bluuebunny/crossref_metadata_2025 huggingface dataset:
Sentiment Evaluation of Public Transport in Social Media using Naïve Bayes Method
Authors:   Department of Communication Technology and Network, Faculty of Computer Science and Information Technology, University Putra Malaysia, Serdang, Othman Nur Khaleeda , Hussin Masnida ,   Department of Communication Technology and Network, Faculty of Computer Science and Information Technology, University Putra Malaysia, Serdang, Mahmood Raja Azlina Raja ,   Department of Communication Technology and Network, Faculty of Computer Science and Information Technology, University Putra Malaysia, Serdang
Published: November 2019

Nowadays, there is a trend in business organization to use social media as a medium to get feedback from customers. This gives advantage in improving the business values such as increasing customers’ satisfactions and building better company reputation. However, the response and feedback from the customers are varies and hold different perspectives. It might be led to ambiguous answer.In this work, we utilized Naïve Bayes machine learning approach for analyzing sentiment at social media on transportation services. We collected all feedback from Facebook and Twitter about transportation services. From the unstructured comments and feedback, we classified accordingly to determine the related scope of the sentiment. By using the Naïve Bayes method those massivecomments and feedback are presented in appropriate way and easier to understand.
An Empirical Evidence of Geometers’ Sketchpad Acceptance
Authors:   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Cob* Zaihisma Che , Ali Nor’ashikin ,   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Ramli Rohaini ,   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor
Published: November 2019

The integration of educational technology such as geometer’s sketchpad into school curriculum has been seen as a means in supporting teaching and learning innovation. However, the potential gains are not fully realized from the use of geometer’s sketchpad due to some lack of acceptance. To examine the factors influencing the intention of secondary teachers to use geometer’s sketchpad in their mathematics education, this study developed the research model using the constructs derived from Unified Theory of Acceptance and the Use of Technology (UTAUT). Based on the data gathered from teachers in secondary schools in Selangor and analysed using partial least square approach, it was found that infrastructure support and system quality affect teachers’ intention to use geometer’s sketchpad. Thus, infrastructure support and system quality should be enhanced to sustain use of geometer’s sketchpad.
Performance and Reduction of Carbon Footprint for a Sustainable Campus
Authors:   College of Graduate Studies, UniversitiTenagaNasional (UNITEN) Kajang 43000, Selangor DarulEhsan, Malaysia, Lim* Michelle , Hayder Gasim ,   Institute of Energy Infrastructure (IEI), UniversitiTenagaNasional (UNITEN). Department of Civil Engineering, College of Engineering, UniversitiTenagaNasional (UNITEN)Kajang 43000, Selangor DarulEhsan, Malaysia.
Published: November 2019

Thisresearch is to analyze and reduce the emission of carbon footprint around campus in order to build a sustainable campus for future generations. One of the most profound issue faced by the world today is the rise of temperature which is also known as global warming. The emission of GHGs has been an alarming issue in our world today which causes not only the rise of temperature but also disastrous natural disasters such as flood, hurricane, drought and many more. Like other developing countries, Malaysia have given its full support and cooperation in its attempt to achieve a sustainable development. In Malaysia, there are several policies and legislation developed to encourage sustainability in four major areas which are water and waste management, transportation, energy and building. The importance of higher education institutions such as universities should address the diverse needs of local societies and promote sustainability. Universities should also consider including sustainability into student’s education and program to promote the environmental issues which have been one of the highest concerns around the world. Therefore, the focus of this research is to analyze and reduce the carbon footprint for a sustainable campus. Hence, the aim of this research is to analyze the emission of carbon footprint throughout the campus such as traveling to class and to suggest alternatives that the student or staff can take in order to reduce the emission of carbon footprint around campus and to build a sustainable campus.
Determining Attributes of Encrypted Data Traffic using Feature Selection Method
Authors:   Computer Engineering, Computer Science Department, Universitas Indo Global Mandiri Indonesia, Tasmi*  , Setiawan Herri ,   Engineering Informatics, Computer Science Department, Universitas Indo Global Mandiri Indonesia, Stiawan Deris ,   Computer Engineering, Computer Science Department, Universitas Sriwijaya Indonesia, Husnawati  ,   Computer Engineering, Computer Science Department, Universitas Indo Global Mandiri Indonesia, Valiata Sasut Analar ,   Master of Engineering Informaticst of Computer System, Department, Universitas Sriwijaya
Published: November 2019

Encrypted packages such as banking and e-commerce are widely used in various fields because it is advantages in terms of data security. However, the problem occurs when checking attributes package to determine if it is a safe packet instead of malware. The purpose of this study is to get the best attributes using feature selection processes by ranking.The results of this study found that from the two best methods of IG and One R, in average IG better than One R. If based on the results of the response, the data produced for the estimated data of TLS V1.0 IG method has better accuracy compared to the One R method, on the contrary inTLS V1.2 One R data is better than IG.
Effect of Optimal Multi-DG Siting and Sizing in Transmission System using Hybrid Optimization Technique for Loss Control
Authors:   Department of Electrical and Electronics, Engineering, College of Engineering, UniversitiTenagaNasional, Kajang, 43000, Selangor, Malaysia, Shaaya Sharifah A. , Musirin Ismail ,   Faculty of Electrical Engineering, UniversitiTeknologi MARA, Shah Alam, 40450, Malaysia, Sulaiman Shahril I. ,   Faculty of Electrical Engineering, UniversitiTeknologi MARA, Shah Alam, 40450, Malaysia, Mansor Mohd H. ,   Department of Electrical and Electronics Engineering, College of Engineering, UniversitiTenagaNasional, Kajang, 43000, Selangor, Malaysia, Mustaffa Sharifah A. S. ,   Department of Electrical and Electronics Engineering, College of Engineering, UniversitiTenagaNasional, Kajang, 43000, Selangor, Malaysia, Kamil Karmila ,   Department of Electrical and Electronics Engineering, College of Engineering, UniversitiTenagaNasional, Kajang, 43000, Selangor, Malaysia
Published: November 2019

The advancement of Distributed Generation (DG) technologies have caused great impact to power system operation. The installation of DG has been expanded in both the transmission and distribution systems. Improper planning of DGs installation may lead to over-compensation or under-compensation. Thus, a reliable optimization is urgent to alleviate any undesirable event. This paper analyses the impact of multi-DGs installation utilizing a pre-developed hybrid optimization technique termed as Immunized-Brainstorm-Evolutionary Programming (IBSEP). It is imperative to study the effect of multi-DGs installation such that a relevant utility can make a correct decision, whether its installation is worth or vice versa. Rigorous study has been conducted in terms of identifying the optimal location and sizing, installed on transmission system for loss control involving different DG types. Comprehensive results embedded in this paper show that more optimal DGs of a particular type are superior to the other in controlling transmission system loss.
Building a Research Model for Mobile Prepaid Phone Cards: An Evidence of Telkomsel in Bengkulu
Authors:   Universitas Indo Global Mandir, Jln. Jendral Sudirman KM. 4 No. 629 20 Ilir Kec. Ilir Timur I, Palembang Indonesia, Marnisah* Luis , Ali Nor’Ashikin ,   Universiti Tenaga Malaysia, Jalan Ikram-Uniten, 43000 Kajang, Selangor, Malaysia, Zamzam Fakhry ,   Universitas Indo Global Mandiri, Jln. Jendral Sudirman KM. 4 No. 629 20 Ilir Kec. Ilir Timur I, Palembang Indonesia, Setiawan Herri ,   Universitas Indo Global Mandiri, Jln. Jendral Sudirman KM. 4 No. 629 20 Ilir Kec. Ilir Timur I, Palembang Indonesia, Samsurizal  ,   Universitas Indo Global Mandiri, Jln. Jendral Sudirman KM. 4 No. 629 20 Ilir Kec. Ilir Timur I, Palembang Indonesia
Published: November 2019

The growth of telecommunication companies has led to competition in getting the customers to buy their data plan through the purchase of prepaid card. However, little is known on the factors that influence mobile phone users’ decision to purchase prepaid card. This study aims to examine the effects of product quality, promotional strategy, and price on the intention to purchase prepaid car, which can be used by prepaid card providers to attract more users in purchasing prepaid card for their mobile phones. An online survey method was used to collect data, and 123 questionnaires were properly completed and submitted by mobile phone users in the Telkomsel mobile telecommunication market. Data was tested using a PLS-based Structural Equation Modeling (SEM). The results of this study indicate that there is a positive and significant effect on product quality, promotional strategy and price on purchase intention.
Automated Traffic Light System with Roadblocks using IR Sensors and Arduino
Authors:   B-Tech, SRM Institute of Science and Technology in Electrical and Electronics, India., Saxena* Himanshu Kumar , Malik Tejas ,   B-Tech, SRM Institute of Science and Technology in Electrical and Electronics, India., Bhardwaj Ankur ,   B-Tech, SRM Institute of Science and Technology in Electrical and Electronics, India.
Published: November 2019

In the paper portrayed, we design the automation system using an Arduino ATMEGA microcontroller board for traffic light on a cross road. We created a mechanism by utilizing IR sensors governed with an Arduino ATMEGA board. In the portrayed technique of Arduino program mechanism, the timer of the traffic light will depend upon the traffic blocked by the IR sensor pair and eventually the roadblocks appear as the signal is red. The structure comprises the interconnection of drivers to a motor connected to the roadblocks. The IR pair sensors are responsible for the traffic light timer delay and emerging of the roadblocks. The Arduino ATMEGA is power-driven by a battery and an LED is coupled for its indication purpose.
Linear Congruential Generator and Caesar Cipher
Authors:   Department of Master of Computer Applications, N.M.A.M. Institute of Technology,(Visvesaraya Technological University, Belagavi),Nitte, 574110, Udupi District, Karnataka, India, Pandit Karuna
Published: November 2019

With the massive development in the technology, this era is witnessing tremendous use of Internet . Huge amount of confidential data trasfer is taking place through Internet. The consequence of this growth is the great demand for data security. Privacy is the most sorted topic in Information Security. The protection of privacy of data can be achieved by the application of cryptography. In this paper a new encryption algorithm is proposed using the simplest classical Caesar Cipher with Linear Congruential Generator for shift size followed by permutation of the words of the message. The strength of the algorithm is ease of use and large key space making Brute force cryptanalysis impossible.
Test Case Design and Test Case Prioritization using Machine Learning
Authors:   Principal Software Test Lead, Zillow Inc, San Francisco, USA., Sharna Mayank Mohan , Agrawal Akshat ,   Computer Science, Amity University Haryana, Gurgaon, India., Kumar *B. Suresh ,   Computer Science, Amity University Rajasthan, Jaipur, India.
Published: November 2019

Designing and prioritizing test cases is a very tedious task. Given all the advancements in the world of software testing, on any given day engineers spend several man-hours to identify all possible testing scenarios and preconditions attached with it. Test engineers then use the scenarios and preconditions to write multiple test cases. Every test case has a template skeleton to follow - expected results, actual results, priority, test suite category classification (regression, sanity, smoke, integration, etc.), and the respective software (i.e. version, build, release etc.) that has to be tested. Until now there have been efforts to make test case designing simpler by providing software test engineers with tools and processes. But these tools and processes still needs considerable amount of manual intervention in terms of understanding the requirements, analyzing the quality risks and documentation of all possible test scenarios in order to ensure a high quality software delivery. Man-hours spent on test case design and test case prioritization is directly proportional to the cost involved in building software. Our goal was to make sure that the manual intervention in test case design and test case prioritization is reduced to minimum without imposing any software quality risks. So, that the cost to ship and build software is reduced. With this paper we are presenting a solution to this problem. Our goal here was to use machine learning [5] to do automated test case prioritization and creation of test cases for software. In order to achieve this goal we used supervised machine learning [6] approach based on K-Nearest Neighbor classification model for test case design and test case prioritization [4]. On experimenting with other linear and non-linear classifiers we learnt that they did not prove to be as accurate as K-Nearest Neighbor. Our method of machine learning based automated test case design and test case prioritization can be used by any software development organization to reduce it’s software development cost and time taken to ship software to their respective consumers. This aims to benefit the software development industry as a whole.
Binary Search In Linked List
Authors:   Department of Computer Science, Chandigarh University, Chandigarh, India., Sanu* Kumar
Published: November 2019

This paper is based on an approach to implement Binary Search in Linked List. Binary Search is divide and conquer approach to search an element from the list of sorted element. In Linked List we can do binary search but it has time complexity O(n) that is same as what we have for linear search which makes Binary Search inefficient to use in Linked List. The main problem that binary search takes O(n) time in Linked List due to fact that in linked list we are not able to do indexing which led traversing of each element in Linked list take O(n) time.In this paper a method is implemented through which binary search can be done with time complexity of O(log2n). This is done with the help of auxiliary array. Auxiliary array helps in indexing of linked list through which one can traverse a node in O(1) complexity hence reducing the complexity of binary search to O(log2n) hence increasing efficiency of binary search in linked List.
Computer Vision Based Local Fruit Recognition
Authors:   Department of CSE, Daffodil International University, Dhaka, Bangladesh, Mia Md. Robel , Mia Md. Jueal ,   Department of CSE, Daffodil International University, Dhaka, Bangladesh, Majumder Anup ,   Department of CSE, Jahangirnagar University, Dhaka, Bangladesh, Supriya Soummo ,   Department of CSE, Daffodil International University, Dhaka, Bangladesh, Habib Md. Tarek ,   Department of CSE, Jahangirnagar University, Daffodil International University, Bangladesh
Published: November 2019

Bangladesh is an agricultural country having a tropical monsoon climate. A large variety of tropical and sub-tropical fruits abound in Bangladesh. People of Bangladesh are fruit-lovers too. Currently, most of the people of this country are failing to recognize many of the rare local fruits and the number of this portion of people is increasing day by day. Thus, not only the natural heritage but also good sources of food are being diminished. Performing a machine vision based recognition of these fruits can help people recognize them. In this paper, we perform an in-depth exploration of a computer vision approach for recognizing rare local fruits of Bangladesh. A number of rare local fruits are classified based on the features extracted from their images. For our experiment, we have used a total of 480 images of 6 rare local fruits. We perform some preprocessing on the captured image and then expected features are extracted using image segmentation. Classification of the fruits is accomplished using support vector machines (SVMs). We have achieved 94.79% classification accuracy, which is not only good but also promising for future research.
Near Direct and Far Reverberant Field Response of Direct Radi ator Loudspeakers
Authors:   Electro-Acoustic Research Laboratory, Department of Physics, Nowrosjee Wadia College, SPPU, Pune-411001, Maharashtra, India., Godase* Aruna , Surve Farhat ,   Electro-Acoustic Research Laboratory, Department of Physics, Nowrosjee Wadia College, SPPU, Pune-411001, Maharashtra, India.
Published: November 2019

Typical audience seating arrangements in rooms and auditoria warrant reinvestigation of the direct radiator speaker response in the near-direct and far-reverberant fields, as the response data provided by the manufacturer is always ideal and does not account for the effect of those fields. The speaker response characteristics of a variety of direct radiator loudspeakers ranging from the conventional squawker to the full range radiator have been investigated in these fields. The speaker response is investigated in the 50 -10 kHz frequency range, by measuring the A-weighted SPL (sound pressure level) in the near-direct and far-reverberant fields, using an acoustic analyzer. The field-specific characteristic for each of the radiators is determined by fitting the SPL data obtained to an appropriate polynomial. The coefficients obtained thereby, allow an objective field-specific study amongst radiators. When a set of direct radiator loudspeakers is available, it is necessary to configure their application, depending upon the optimum sound quality required for a given enclosure, in near-direct field and far-reverberant field. The outcome of this work assists one to configure the best radiator ensemble for a given enclosure, despite placement constraints.
Enhancement of Vehicle Behavior System
Authors:   H.O.D., Department of Information Technology, LDRP Institute of Technology and research, Gandhinagar, Gujarat, India., Barot* Dr. Mehul , Mahaveersinh Chauhan ,   Student, Department of Information Technology, LDRP Institute of Technology and research, Gandhinagar, Gujarat, India, Wani Dheer ,   Student, Department of Information Technology, LDRP Institute of Technology and research, Gandhinagar, Gujarat, India
Published: November 2019

The purpose of this research paper is to make the usefulness of the OBD-II port which is provided in the car. So, what is an OBD port? It is a on board diagnostics tool which acts as a self-diagnostic tool for the car. So here in this paper we will use the OBD port for the functionality. So, we will do this with the help of the Arduino board. The Arduino board is the one which communicates with the OBD port. Takes the data which is being analyzed locally. The main objective of doing this is that there is not much awareness regarding this feature which can be really useful to the owners to maintain their car and monitor their car remotely. We nowadays didn't see much use of this feature generally among the normal people. If we make such a feature available to the customer then there will be a lot more benefits to the customer. As only there are very low number of the people which make the use if these Port.
Electrocoagulation Treatment for Landfill Leachate using Stainless Steel Electrode
Authors:   Ph.D. Scholar, Department of Environmental Engineering, JSS Science and Technology University (Formerly SJCE), Mysuru, Karnataka, India., M* Bharath , Krishna Dr. B. M. ,   Associate Professor, Department of Environmental Engineering, JSS Science and Technology University (Formerly SJCE), Mysuru, Karnataka, India.
Published: November 2019

Electrocoagulation (EC) process uses direct electric current source between metal electrode submerged in the effluent that results in electrode dissolution, with a suitable pH, metal ion can form a wide range of metal hydroxide and coagulated species that destabilized and dissolved contaminants absorbed. Electrocoagulation (EC) has been working for the percentage removal of BOD (Biochemical oxygen demand)/ chemical oxygen demand (COD) ratio, Color and COD on leachate in a batch Electrocoagulation reactor using stainless steel (SS) electrode. EC technology depends on so many factors such as electrode material, initial pH, applied voltage, inter-electrode distance, and electrolysis time. From the experimental work, results reveal that the maximum percentage of removal achieved were COD and Color 73.5% and 65.0% respectively and increasing BOD/COD ratio 0.11 to 0.62. The optimum inter-electrode distance 1cm with electrode surface area 35 cm2 and optimum electrolysis time of 120 min at optimum applied voltage 12V, stirring speed 250 rpm and pH 9.8. These results proved that the EC process is an appropriate and proficient approach for treating the landfill leachate.
Design of various Image Compression Methods in Wireless Sensor Networks
Authors:   Assistant Professor, Department of E.C.E J.N.T.U.A., Anantapuramu, India., Deepthi S. Aruna , Rao* E.Sreenivasa ,   Professor and HoD, Department of E.C.E, Vasavi college of Engineering, Hyderabad, India., Giriprasad M.N. ,   Professor, Department of E.C.E, J.N.T.U. A, Anantapuramu, India,
Published: November 2019

The processing capacity and power of nodes in a Wireless Sensor Network (WSN) are restricted. The quality of the images is deficient, and the contents of the images may vary after decoding when we apply image compression algorithms in WSN. Various compression algorithms are compared in this paper. An Image Compression method based on Restricted Boltzmann Machine (RBM), Auto encoders and Non-negative Matrix Factorization (NMF), Least Square Non-Negative Matrix Factorization (LSNMF), Projective Non-Negative Matrix Factorization (PNMF) network are proposed in this paper. For the WSN, we have used a Message Queue Telemetry Transport (MQTT) protocol. We have used a three Raspberry Pi’s to build a WSN; Publisher, Broker, Subscriber. A Publisher, where it can trigger the camera and captures the images then compress it and send it to another raspberry pi which is a MQTT broker. The PSNR values for those image compression methods were analyzed and compared against each other for images evaluated from the MNIST dataset. Along with the simulation results, all these compression methods are implemented using hardware implementation. Raspberry Pi, a single-board computer with in-built Wi-Fi capabilities, was used in establishing a WSN. Message Queue Telemetry Transport (MQTT) protocol was used for transmitting the compressed images across the WSN, that offers fast and reliable transmission.
PID Controller With Fuzzy Inference System As Simple Feedback For Closed Loop Control Of Intravenous Anesthesia
Authors:   Department of Instrumentation and Control, College of Engineering Pune, Pune, India., Bhole* Kalyani
Published: November 2019

Anesthesia is an imperative activity during operation. Anesthesiologist perceives patient’s physiology and adjusts the drug rate. Sometimes, it may go overdose or under-dose which is proscribed. This process is merely in need of an expertise which in turn, may not be available every time and everywhere. But we can store this expertise with the help of fuzzy inference system and utilize it to judge the depth of anesthesia. A genuine effort has been made to design a PID controller with fuzzy inference system as simple feedback to control intravenous anesthetic drug delivery. This paper demonstratesthe design and implementation of experts’ based system with PID controller and comparison of the same with open loop target controlled infusion and fuzzy inference system without a controller. The conclusion of this study is that the PID controller with fuzzy inference system as simple feedback gives fast response with no overshoot. Ultimate prototype is implemented on Xilinx’s Spartan 3E Field Programmable Gate Array.
Image Enhancement using Wavelet Fusion for Medical Image Processing
Authors:   ECE, Sri Venkateswara Engineering College, Tirupati, India., Mahesh* M. , Kumar T R Revanth ,   ECE, Sri Venkateswara Engineering College, Tirupati, India., Babu Dr. B. Shoban ,   ECE, Sri Venkateswara Engineering College, Tirupati, India., Saikrishna J. ,   ECE, Sri Venkateswara Engineering College, Tirupati, India.
Published: November 2019

Medical Image Enhancement Low contrast is the active study area that the obtained pictures suffer from noise and low contrast. Age of capturing equipment, bad illumination circumstances are the low contrast medical images. Thus, techniques of contrast improved performance are used before being used to enhance the contrast of medical images. Within a tiny range of pixel concentrations, contrast improvement algorithms enhance low contrast image. Low contrast image enhancement is accomplished using Equalization of Contrast Limited Adaptive Histogram. CLAHE image enhancement is used to enhance the quality of medical images with low contrast. DWT image, sub-bands such as LL, LH, HL, HH are decomposed. 2D Adaptive fusion image on discrete wavelet transformation is used to fuse the main and CLAHE output images. The efficiency of the output is calculated using merged image entropy and PSNR. It is discovered that the visual content of low contrast medical pictures is enhanced effectively on the basis of 2D DWT and adaptive Fusion.
An Evaluation of Various Clustering and Routing Protocols in Wireless Sensor Networks
Authors:   Research Scholar,AssistantProfessor,Department of BCA, Sri Krishna Arts And Science College., Joselin* J. , Sofia V.S.Anita ,   Research Scholar, Assistant Professor, Department of BCA, Sri Krishna Arts And Science College.
Published: November 2019

In the recent field of research the wireless sensor network plays an important role. Wireless sensor network is an important technology in this era. A Wireless Sensor Network (WSN) is a distributed network contains enormous sensor nodes with wide range of application. It transmits unlimited and enormous data like image, video, audio and data through end to end network. WSNs offer much solution to remote real time monitoring, recognition of physical occurrence and target tracking applications. This network growth is increasingly rapidly day by day and made the research field in difficult resurgence. The extended network lifetime, effective load balancing and scalability are essential for WSNs. The life time of the wireless network can be extended by the concept of clustering .Clustering is process of grouping the smaller localized networks in highly structured way. Diverse cluster technology available based on the network the clustering concept will be used. Efficient routing algorithm provide the way for efficient usage of bandwidth and reduce the delay in the network . This paper provides the survey of clustering and routing protocols to improve the efficiency in wireless technology in recent years
Development of Traditional Snack Product - Moong Dal Laddu using Under-Utilized Pomegranate Peel Powder
Authors:   M.Tech, Department of Food Processing Engineering, Karunya Institute of Technology and Sciences, Coimbatore, George Jonathan , Kannan Aksharaa ,   M.Tech, Department of Food Processing Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Renitta R Emilin ,   Assistant Professor, Department of Food Processing Engineering, Karunya Institute of Technology and Sciences, Coimbatore
Published: November 2019

In the present study, pomegranate peel (Punica granatum) along with its secondary metabolites was incorporated into an indigenous product- Moong Dal Laddu, and checked for its total phenol content. The total activity of antioxidants in pomegranate peel was estimated and nutritive content of the product was enhanced in various in-vitro studies. The total phenolic content with brown sugar was obtained 236.93 mg/100g of final product which is higher compared to the sample with white sugar and control sample with 173.32 mg/100g and 16.45 mg/100g respectively. Due to the identification of high amount of antioxidant activity obtained from the peel, it has be used in the fortification of the indigenous product with claim of reducing of the risks related to cardiovascular diseases.
Secure Identity-based Online/Offline Signature System
Authors:   Information Technology College, Imam Ja’afar Al-Sadiq University, Baghdad-Iraq, Aboud Sattar J. , Jabbar Zinah S. ,   Information Technology College, Imam Ja’afar Al-Sadiq University, Baghdad-Iraq
Published: November 2019

The article introduces an identity-based online/offline signature system for wireless sensor network (WSN). The authors claim that when the computation cost is low, the proposed system is more suitable for WSN. The authors also claim that their scheme provides multi-level use from offline information allowing the signer to reuse this before the calculated data within a limited time, unlike those used in the existing online/offline signature systems. The introduced system gave a promising outcome when used with a MICAz platform. MICAz platform is the mote 2.4HGz module wireless measurement system used for low-power WSN.
Street Light Monitoring using Smartphones
Authors:   Associate Professor, CSE- AIT, Chandigarh University, Gharuan, Mohali, Punjab, India., Kumar* Rajiv
Published: November 2019

Rapid urbanization poses challenge to the maintenance agencies in monitoring and maintaining city-wide services. Traditional ways, to monitor the services, involve huge manpower and time. Technical revolutions opens up smarter ways of monitoring the civic services with the use of miniature sensors embedded in smart devices and potentially covers wider area. Over the past decade, the smart city concept has emerged as a potential research area where many devices work in a network and has been applied as city-wide smart monitoring technique. In this paper, author has highlighted the use of mobile crowd sensing though smart phones to devise civic infrastructural monitoring application specifically for monitoring street lights conditions and generating heat maps accordingly. A client-server based mobile crowd sourcing framework has been proposed where the client represents smart phones equipped with devised phone application to crowd sense data and the open-source server is used for data analysis and distribution of results. The framework works in sequential manner with three key modules i) data harvesting, ii) analyze and iii) visual reporting module. Smartphones are used to harvest city-wide contextual data and transfer it to the server. Effective measures to protect privacy of the user have been applied during data harvesting. Server analyzes the harvested data and retrieves useful metrics as computed luminous index which are communicated back to clients (phones) as heat maps visualized on Google® maps. The proposed mobile crowd sourcing framework helps in quick data sensing and spotting the poor street light conditions. The resulted maps potentially disseminate the information to the city residents and the administration to respond accordingly. Whether there is need to install more street lamp posts or to repair the malfunctioning lamp post. A better lighting condition in the streets enhances the visibility and thus the safety of the residents, as the dark areas are prone to accidents or promotes crime.
A Novel Design Methodology for MEMS Micro Cantilever Triode Switch
Authors:   Electronics and Communication Engineering, Sreenidhi Institute of Science and Technology affiliated to Jawaharlal Technological University, Hyderabad-501301, Telangana State, India., Challa* Pamuleti , Kondepudi Lal Kishore ,   Electronics and Communication Engineering, Formerly Vice-Chancellor, Jawaharlal Technological University, Anantapur, Andhra Pradesh, India., Mandavilli Satyam ,   Electronics and Communication Engineering, Formerly Professor, Indian Institute of Science, Banglore, India.
Published: November 2019

This paper describes a novel methodology for designing a MEMS (micro electromechanical systems) triode switch made up of a cantilever for a given set of performance parameters viz minimum pull-in voltage, on-time and off-time. These performance parameters are associated with MEMS triode switch structural parameters such as length, width, thickness, cross sectional area, initial gap between the electrodes and are found using MATLAB. A relational database using MS Access is created with the performance parameters and corresponding structural parameters. The switch(es) which satisfy the given specifications are retrieved based on data mining principle. An algorithm is written for mining the data from the database. A software package is developed for this algorithm in JAVA language for data mining. The designer can choose the switch(es) as per design constraints. This approach reduces the design cycle time of the MEMS triode switches.
Spatial Multiplexing MIMO-OFDM Systems Over Frequency Selective Channel
Authors:   Department of Electronics and Communication Engineering, University of Hertfordshire, College Ln, Hatfield AL10 9AB, UK., Ravva* Vijaya Durga , McLauchlin Dr Allan ,   Department of Electronics and Communication Engineering, University of Hertfordshire, College Ln, Hatfield AL10 9AB, UK.
Published: November 2019

Pilot symbols are huge utilized in countless functions what's more, principles. In conventional methodologies, Pilot images are multiplexed among actualities stream, bolstered friend uncommon example, on every single transmitter radio wire. Beginning evaluation channel is gotten by methods for pilot helped Least rectangular (LS) channel estimation the utilization of recurrence space approach. Recouped images are acquainted with enrich the channel gauge through time zone approach. The general execution proposed authority is incontestable utilizing contraption reproductions that are distributed below totally extraordinary channel conditions.
Quality of the Performance of the Wastewater Treatment Plant in the City of Hoceima, Morocco
Authors:   Ibn Tofail Faculty of Science, Laboratory of Agro-physiology, Biotechnology, Environment and Quality, Kenitra, Morocco., Lakhal Abdelfattah , Asmae Belala ,   Laboratory of Biotechnology and Environment,Biology department,Faculty of Sciences,IbnTofail University,BP. 133 Kenitra 14,000, Morocco., Abdelaziz Chaouch ,   Ibn Tofail Faculty of Science, Laboratory of Agro-physiology, Biotechnology, Environment and Quality, Kenitra, Morocco.
Published: November 2019

Renewable freshwater is a vital resource for life. Today, economic development goes hand in hand with the increase in consumption and the emergence of problems of availability or quality. The wastewater is treated in a wastewater treatment plant (Step) was late to reduce emissions and improve the protection of ecosystem quality. This study is the objective of ' exploring the cleansing station performance. The results show that the station ' Hociema by low load activated sludge allows eliminates bout 30 % to 70% for BOD5 . Nevertheless, the chemical oxygen demand is eliminated between 56% and 73% , and the COD/BOD5 ratio shows the biodegradable nature of the effluents that can be treated by a biological system, ie activated sludge treatment. from the city of Hoceima performing.
Convolution Neural Network Based Deep Feature Fusion for Palmprint and Handvein
Authors:   Dept. of Computer Science, SJBIT, Bangalore, India., Rangappa * Shreyas , C Naveen ,   Dept. of Computer Science, SJBIT, Bangalore, India., K Chethan H ,   Dept. of Computer Science, University of Mysore, Mysore,, S Raghunandan K ,   Dept. of Computer Science, University of Mysore, Mysore, India., C Sunil ,   Dept. of Computer Science, University of Mysore, Mysore, India.
Published: November 2019

A distinctive Deep Convolution Neural Network (CNN) outline architecture model is presented in this work which proficiently signify complex image features. With two convolution layers implementation of feature extraction is carried out successfully and provides a well-built biometric verification system by using physiological traits Palm print and Hand vein for development of our system. The formation of CNN hyper parameters carried out in numerous experiments such as filters and its size in each layer, number of convolution layers needed, batch size, iterations, learning rate is a paramount and epochs defining these factors are truly dependent on the nature of data and its size. The new method presented in our model has been part with and it gives 99% of GAR in biometric verification of unimodal system and extremely the experimentation has condensed results when combined with deep feature extraction and classification outcomes.
JAUNŲ ŽMONIŲ SAVIŽUDYBIŲ FENOMENO DISKURSAS
Authors: Strukčinskienė Birutė , Tervydytė Dileta , Strukčinskaitė Vaiva , Strazdienė Neringa , Griškonytė Emilija , Griškonis Sigitas
Published: November 2019

Lietuva jau keletą metų yra tarp šalių, kurios lyderiauja pagal savižudybių skaičių Europoje ir pasaulyje. Sаvižudybė – vienа pаgrindinių jаunų žmonių mirties priežаsčių mūsų planetoje. Jauno žmogaus gyvenime kyla daug iššūkių, kurie lemia jaunimo elgsenos kaitą. Šio darbo tikslas buvo jaunų žmonių savižudybių fenomeno analizė. Taikyta sisteminė mokslinės literatūros bei dokumentų apžvalga ir analizė.Sаvižudybė – tаi ne ligа, o desperаtiškas jauno žmogаus, nerаdusio kitos išeities, poelgis. Savižudybė dažniausiai nėra staigus vienos priežasties nulemtas veiksmas. Tai paprastai būna procesas, kurio metu žmogus išgyvena vis didėjantį stresą, emocinį skausmą, jausmų ir minčių sumaištį, o jo gebėjimas įveikti krizę vis mažėja. Šį procesą dažniausiai užbaigia koks nors įvykis ilgoje nesėkmių, stresinių įvykių grandinėje. Jaunų žmonių savižudybių priežastys ir rizikos veiksniai gali būti įvairūs – socialiniai, asmeniniai, psichologiniai, sveikatos ir kt. Pastaruoju metu virtuali erdvė, ypač interneto socialiniai tinklai tampa aktualiu jaunų žmonių savižudybių rizikos veiksniu. Jaunų žmonių savižudybės yra viena iš pagrindinių problemų, kurias spręsti reikia taikant efektyvias prevencijos priemones. Visuomenės informuotumo didinimas, savižudybės tabu laužymas ir švietimas, nukreiptas prieš vyraujančius mitus, galėtų padėti užkirsti kelią šiems tyčiniams sužalojimams. Visuomenei reikėtų suteikti daugiau informacijos, kaip atpažinti galimą savižudišką elgesį ir interpretuoti suicidinių minčių turinčio jaunuolio siunčiamus pagalbos ieškojimo, siekiamo palaikymo, žinios skleidimo ženklus. Svarbu kurti ir įgyvendinti išsamias nacionalines strategijas, kurios padėtų išvengti jaunimo savižudybių. Psichikos sveikatos stiprinimo programų
įgyvendinimas ir savalaikės pagalbos paslaugų prieinamumo vaikystės laikotarpiu didinimas turi tapti prioritetine sveikatos politikos sritimi.
DU PIRMINIAI NAVIKAI PACIENTO GALVOS SMEGENYSE: GLIOBLASTOMA IR MENINGIOMA. KLINIKINIS ATVEJIS
Authors: Liutkus Danius , Staškevičius Arnas , Šilkūnas Darius , Gasilionis Valdas
Published: November 2019

Du pirminiai, skirtingos histologinės struktūros navikai, susiformavę vieno paciento galvos smegenyse –labai reta neurochirurginė patologija. Straipsnyje pristatomas 64 metų vyro klinikinis atvejis, kai šiam pacientui buvo nustatyti du skirtingos histologinės struktūros pirminiai galvos smegenų navikai – meningioma ir glioblastoma. Abu navikai buvo sėkmingai pašalinti per vieną chirurginę intervenciją ir vietą. Vėliau pacientas nusiųstas pas kitus specialistus, kad jam būtų atlikta chemoterapija ir radioterapija. Straipsnyje apžvelgiama kitų autorių patirtis ir galimos dviejų skirtingos histologinės struktūros navikų susiformavimo priežastys. Sėkmingam tokių navikų gydymui reikalingas visapusiškas radiologinis ištyrimas, didelė neurochirurgijos praktikos patirtis ir patikima multidisciplininė komanda.
ATIPINĖ EN PLAQUE TIPO MENINGIOMA. KLINIKINIS ATVEJIS
Authors: Aleksandrov Dmitrij
Published: November 2019

Meningiomos tarp visų pirminių centrinės nervų sistemos (CNS) navikų pagal dažnumą užima antrąją vietą ir sudaro 33,8 proc. visų intrakranijinių navikų atvejų. Nors 80–90 proc. atvejų stebimas tipinis kompiuterinės tomografijos (KT) ir magnetinio rezonanso tomografijos (MRT) meningiomų vaizdas, tačiau iki 15 proc. atvejų užfiksuojamas ir netipinis vaizdas. En plaque tipo meningiomos sudaro 2–9 proc. nustatomų meningiomų, tačiau dėl savo vaizdo ypatumų jos yra nemažas iššūkis, nustatant diagnozę ir parenkant gydymo taktiką. Straipsnyje aprašomas 53 metų amžiaus vyro en plaque tipo meningiomos klinikinis atvejis.
TERITORINIŲ LIGONIŲ KASŲ TIKRINIMO DOKUMENTŲ TEISINĖ ĮRODOMOJI REIKŠMĖ
Authors: Paulikienė Birutė , Jucys Darius
Published: November 2019

Asmens sveikatos priežiūros įstaigų žalos Privalomojo sveikatos draudimo fondo biudžetui nustatymo ir įrodinėjimo ginčuose tarp teritorinių ligonių kasų ir asmens sveikatos priežiūros įstaigų tema moksliniame lygmenyje nagrinėjama mažai. Dėl mišraus santykių tarp teritorinių ligonių kasų ir asmens sveikatos priežiūros įstaigų reglamentavimo, praktikoje ilgą laiką buvo neaiškus šių ginčų nagrinėjimo procesas. Straipsnyje, remiantis teisės aktų nuostatomis, išsamia teismų praktikos analize, siekiama išanalizuoti teritorinių ligonių kasų patikrinimo dokumentų teisinę reikšmę ir su ja susijusius civilinės atsakomybės kilimo sąlygų įrodinėjimo aspektus.
أثر تقانات تدريس مادة نظريات العمارة في أداء الطلبة
Authors: Rana Mahfooth  , Niam. B. Mannona  , Ali H. Al-Jameel
Published: November 2019

"Recently, educational technologies have become an important issue thanks to the vast developments in the fields of information and digital technologies as new means were introduced to become essential parts of teaching methods. Because of their role in promoting education in general and the architectural education specifically, as they are new means for introducing knowledge in the theoretical lectures to accelerate the process of learning, it seems essential to provides scientific knowledge about their efficiency intended educational goals. On the other hand, Theories of Architecture is one of the principal lectures in architectural schools as the knowledge introduced in them is highly relevant for learning the design process within the lectures of Architectural Design. This research adopts the goal of testing the hypothesis of the effect of teaching technologies used in Theories of Architecture lectures in promoting students' performance by employing an experimental method within which the students of the fourth year in the department of Architectural Engineering in Mosul University were subjected to an experiment within specific theoretical framework. It is concluded that specific teaching technologies are more convenient for certain objectives and the instructor should employ different teaching technologies with integrative approach for more efficient Architectural Education to be achieved."
تقنية نظام الكهف (CAVE System) كواحدة من أهم تطبيقات الواقع الافتراضي في الجانب المعماري
Authors: Ola Muhammed AbdulKareem  , Yunis Mahmood Muhammed Saleem
Published: November 2019

"Virtual reality technology is the most important techniques reached by the technological revolution in the last decades of the twentieth century. It had a significant impact in various fields of life, especially in the field of architecture through the presentation and realizing the product of architecture, The improve in technology and virtual reality techniques, including CAVE systemwas depend on how to understand the third dimension of space and sense of it. So it was necessary to keep pace with this development locally in Iraq and try to show its impact onthis evolution in the perception of space and the sense of being part of it. From here the research problem identified as: (the impact of the cave system techniques in the perception of space at the local level). The aim of this research was to show the improvement in receiver perception when the technological developments taking place in the world of virtual reality.To achieve this aim the research follows these steps:• Develop a comprehensive theoretical framework by presentation the most important factors affected in the receiver perception and the properties of perceived characteristics of space to identify the most important items that affect the process of cognition and the characteristics of the cognitive space perceived.• Creating a local virtual environment experience using a cave system technology, and applied to an architectural project designed by the researcher in the Department of Architecture - University of Technology.• Measure the level of awareness of the recipient when using the cave system technology that have been created in this research by comparing with the normal computer screen technology.The research reach a number of conclusions showing improvement in the performance of technical CAVE system in the perception of space compared to traditional techniques the computer screen."
Pembangunan Sistem Pendistribusian Pembayaran Zakat Online Berbasis Web
Authors: Helmi Fadrin , Suarna Nana , Nurdiawan Odi
Published: November 2019

Lembaga Amil Zakat diharapkan agar dana zakat selain dapat disalurkan dengan baik dan benar peruntukannya, juga dapat ditingkatkan hasil guna dan daya guna dari dana zakat tersebut melalui usaha yang produktif. Banyak sekali kendala yang dihadapi saat pengumpulan dan pendistribusian zakat tersebut, salah satu diantaranya pada saat pengambilan dana zakat, untuk itu diperlukan sarana unuk mempermudah muzaki dalam menyampaikan zakat secara online untuk meningkatkan potensi pembayaran zakat. Proses pengembangan sisem menggunakan metode ADDIE (Analysis- Design- Develop- Implement-Evaluate) sehingga lebih detail dan efektif dalam pembuatannya. Berdasarkan hasil penelitian bahawa perangkat teknologi yang diusulkan pada Badan Amil Zakat Kota Cirebon dapat dimanfaatkan sebagai perangkat pendukung untuk aplikasi online yang dibuat.
Sistem Pendukung Keputusan Pemberian Kredit Modal Kerja Menggunakan Metode Simple Additive Weighting Pada Bank BPR Kabupaten Cirebon
Authors: Fahrudin Fahrudin , Prayogi Prayogi
Published: November 2019

Permasalahan yang sering terjadi pada sebuah Bank adalah kurang akurat dan terujinya kebenaran keputusan dalam memutuskan sebuah keputusan memberikan pemberian kredit modal kerja pada nasabah sedangkan disi lain kecepatan dalam memutuskan sangat diperlukan. Sistem pendukung keputusan dalam pemberian kredit belum dapat memudahkan dalam pengolahan data anggota dan belum dapat mempercepat dalam pencarian informasi data anggota dan nasabah Pada makalah ini disusulkan sebuah sistem pendukung keputusan pemberian modal kerja bagi nasabah dengan menggunakan metode Simple Additive Weighting sehingga dapat terwujudnya pemasaran dan pemberian kredit nasabah yang cepat akses dan dapat menjangkau wilayah sekitarnya.