bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of airborne dust effects on terrestrialmicrowave propagation in arid area
Authors: A. A. Elsheikh Elfatih , Md. Rafiqul Islam , Hadi Habaebi Mohamad , F. Ismail Ahmad , E. O. Elshaikh Z. , M. Suliman F. , Chebil Jalel
Published: March 2020

Sand and dust storms are environmental phenomena ,during these storms optical visibility might be decreased, consequently, atmospheric attenuation is clearly noticed.Micro-wave (MW) and Milimeter-wave (mm) propagation is severely affected by dust and sand storms in considerable areas around the world. Suspended dust particles may directly cause attenuation and cross polarization to the Electromagnetic waves propagating through the storm. In this paper, a thorough investigation of dust storm characteristics based onmeasured optical visibility and relative humidity is presented. In addition,the dust storms effects of on Micro-wave and Millimeter-wave propagation have been studied based on data measured Received Signal levels (RSL)and dust storm characteristics synchronously. Analyticaldustattenuationmodels predictions are matched to the measured attenuationdata at 14 GHz and 21 GHz. It has been found that the measured attenuation is approximately ten times higher than the predicted attenuation for both frequencies.
Solar irradiance uncertainty management based on Monte Carlo-beta probability density function: case in Malaysian tropical climate
Authors: Saad N. Md. , Sujod M. Z. , Ridzuan M. I. M. , Abas M. F. , Jadin M. S. , Bakar M. S. , Ahmad A. Z.
Published: March 2020

In recent years, solar PV power generation has seen a rapid growth due to environmental benefits and zero fuel costs. In Malaysia, due to its location near the equator, makes solar energy the most utilized renewable energy resources. Unlike conventional power generation, solar energy is considered as uncertain generation sources which will cause unstable energy supplied. The uncertainty of solar resource needs to be managed for the planning of the PV system to produce its maximum power. The statistical method is the most prominent to manage and model the solar irradiance uncertainty patterns. Based on one-minute time interval meteorological data taken in Pekan, Pahang, West Malaysia, the Monte Carlo-Beta probability density function (Beta PDF) is performed to model continuous random variable of solar irradiance. The uncertainty studies are needed to optimally plan the photovoltaic system for the development of solar PV technologies in generating electricity and enhance the utilization of renewable energy; especially in tropical climate region.
Performance evaluation of comprehensive bandwidth utilization for 10-gigabit passive optical network
Authors: Ismail N. A. , Mahdaliza Idrus Sevia , Butt R. A. , Iqbal F. , Zin A. M. , Atan F.
Published: March 2020

Bandwidth allocation during upstream transmission is crucial to determine the efficiency and performance of a XG-PON. For XG-PON, bandwidth assignment is done based on T-CONT which represents a traffic class as per ITU recommendation. DBA scheme used in this paper is based on CBU to assign bandwidth to ONUs based on the T-CONT supporting QoS as per SLA. In this paper, CATV traffic is used as traffic generator which used for generation of Ethernet frames and results showed expected trend of mean upstream delay for traffic class T2, T3 and T4 as compared to recommended value which is below 1.5ms. These results prove that CBU can also be implemented on real time traffic.
Prediction of ammonia concentration in water based on microwave spectroscopy
Authors: Yee S. K. , Lim S. C. J. , Liew Z. H. , Shaylinda M. Z. N. , Ong N. T. J.
Published: March 2020

Ammonia is a common pollutant in water as the result of runoff in agricultural areas where it is applied as fertilizer. It must be monitored regulary for safety purpose. The current testing technique does not allow on-site measurement as the equipment are bulky, the measurement process is time-consuming and tedious with additional mixing reagents. In this study, the presence of ammonia in distilled water is estimated from open-ended coaxial probe in the range of 200 MHz to 14000 MHz. Experimental results were obtained from two set of samples with seven different ammonia concentration each. The measurements are repeated thrice hence producing forty-two data sets with 550 points. Both curve fitting and multiple regression analysis were considered to perform valid ammonia concentration projection. Validation based on 5-fold and 10-fold cross validation suggested the feasibility of the technique as it presents root mean square error (RMSE) which is less than 0.02 in the ammonia prediction. Detection method based on open-ended probe would be convenient, simple and accurate method for in-situ determination of ammonia concentration.
A novel optimum tip speed ratio control of low speed wind turbine generator based on type-2 fuzzy system
Authors: Yuhendri Muldi , Muskhir Mukhlidi , Taali Taali
Published: March 2020

Variable speed control of wind turbine generator systems have been developed to get maximum output power at every wind speed variation, also called Maximum Power Points Tracking (MPPT). Generally, MPPT control system consists of MPPT algorithm to track the controller reference and generator speed controller. In this paper, MPPT control system is proposed for low speed wind turbine generator systems (WTGs) with MPPT algorithms based on optimum tip speed ratio (TSR) and generator speed controller based on field oriented control using type-2 fuzzy system (T2FS). The WTGs are designed using horizontal axis wind turbines to drive permanent magnet synchronous generators (PMSG). The simulation show that the MPPT system based optimum TSR has been able to control the generator output power around the maximum point at all wind speeds.
Evaluating IoT based passive water catchment monitoring system data acquisition and analysis
Authors: Aznil Ab Aziz Muhammad , Abas M. F. , Anwar Abu Bashri Mohamad Khairul , Saad N. Md. , Ariff M. H.
Published: March 2020

Water quality is the main aspect to determine the quality of aquatic systems. Poor water quality will pose a health risk for people and ecosystems. The old methods such as collecting samples of water manually and testing and analysing at lab will cause the time consuming, wastage of man power and not economical. A system is needed to provide a real-time data for environmental protection and tracking pollution sources. This paper aims to describe on how to monitor water quality continuously through IoT platform. Water Quality Catchment Monitoring System was introduced to check and monitor water quality continuously. It’s features five sensors which are temperature sensor, light intensity sensor, pH sensor, GPS tracker and Inertia Movement Unit (IMU). IMU is a new feature in the system where the direction of x and y is determined for planning and find out where a water quality problem exists by determining the flow of water. The system uses an internet wireless connection using the ESP8266 Wi-Fi Shield Module as a connection between Arduino Mega2560 and laptop. ThingSpeak application acts as an IoT platform used for real-time data monitoring.
Comparative performance evaluation of routing algorithm and topology size for wireless network-on-chip
Authors: Lit Asrani , Rusli M. S. , Marsono M. N.
Published: March 2020

Wireless Network-on-Chip or WiNoC is an alternative to traditional planar on-chip networks. On-chip wireless links are utilized to reduce latency between distant nodes due to its capability to communicate with far-away node within a single hop. This paper analyzes the impact of various routing schemes and the effect of WiNoC sizes on network traffic distributions compared to conventional mesh NoC. Radio hubs (4×4) are evenly placed on WiNoC to analyze global average delay, throughput, energy consumption and wireless utilization. For validation, three various network sizes (8×8,   16×16 and 32×32) of mesh NoC and WiNoC architectures are simulated on cycle-accurate Noxim simulator under numerous traffic load distributions. Simulation results show that WiNoC architecture with the 16×16 network size has better average speedup (∼1.2×) and improved network throughputs by 6.36% in non-uniform transpose traffic distribution. As the trade-off, WiNoC requires 63% higher energy consumption compared to the classical wired NoC mesh.
Geometric sensitivity of beacon placement using airborne mobile anchors
Authors: Ahmad Izanoordina
Published: March 2020

Locating fixed sensing devices with a mobile anchor is attractive for covering larger deployment areas. However, the performance sensitivity to the geometric arrangement of anchor beacon positions remains unexplored. Therefore, localization using new RSSI-based localization algorithm, which uses a volumetric probability distribution function is proposed to find the most likely position of a node by information fusion from several mobile beacon radio packets to reduce error over deterministic approaches. This paper presents the guidelines of beacon selection that leads to design the most suitable trajectory, as a trade-off between the energy costs of travelling and transmitting the beacons versus the localization accuracy.
An improvised similarity measure for generalized fuzzy numbers
Authors: Mohamad Daud , Sara Adlene Ramlan Noorlisa , Aniza Sayed Ahmad Sharifah
Published: March 2020

Similarity measure between two fuzzy sets is an important tool for comparing various characteristics of the fuzzy sets. It is a preferred approach as compared to distance methods as the defuzzification process in obtaining the distance between fuzzy sets will incur loss of information. Many similarity measures have been introduced but most of them are not capable to discriminate certain type of fuzzy numbers. In this paper, an improvised similarity measure for generalized fuzzy numbers that incorporate several essential features is proposed. The features under consideration are geometric mean averaging, Hausdorff distance, distance between elements, distance between center of gravity and the Jaccard index. The new similarity measure is validated using some benchmark sample sets. The proposed similarity measure is found to be consistent with other existing methods with an advantage of able to solve some discriminant problems that other methods cannot. Analysis of the advantages of the improvised similarity measure is presented and discussed. The proposed similarity measure can be incorporated in decision making procedure with fuzzy environment for ranking purposes.
Fabrication of new ceramics nanocomposites for solar energy storage and release
Authors: Hadi Aseel , Ah-yasari Ahmed Hashim , Hassan Dalal
Published: March 2020

The carbides nanostructures have huge applications in renewable energy fields such as the saving of solar energy and release which attributed to the good their properties (thermal, electrical, mechanical, optical and chemical). So, in this paper, the solar energy storage and release of carbides nanoparticles/water for building heating and cooling applications have been investigated with different concentrations of metals carbides nanoparticles (tantalum carbide-silicon carbide). The results showed that the melting and solidification times for thermal energy storage and release decrease with an increase (TaC-SiC) nanoparticles concentrations. From the obtained results, the TaC/SiC nanostructures/ water nano-system are considered as promising materials for solar energy storage and release with high efficiency and high gain (more than 50% compare with the water). Also, the TaC/SiC may be used for heating and cooling fields with good performance and high gain.
Identifying the main factors involved in business intelligence implementation in SMEs
Authors: Becerra-Godinez Juan Alexis , Serralde-Coloapa José Leonardo , Ulloa-Marquez Martin Salvador , Gordillo-Mejia Abraham , Acosta-Gonzaga Elizabeth
Published: March 2020

In recent years, the use of information and communication technology (ICT) tools has been recognized as a critical element for the development of enterprises; being mainly exploited by large companies. However, small and medium enterprises (SMEs) have yet opportunities to take advantage of them; this is the case of the implementation and usage of business intelligence (BI), which is a term that encompasses applications, tools, and methodologies that support decision-making process at a managerial level. Nevertheless, so far there is not a clear approach for its adoption in SMEs, for this reason, this work aims to identify the main factors involved in Business Intelligence implementation in SMEs through a literature review. Information for the analysis was gathered from scientific databases. The results showed main factors that influence the adoption of BI technologies in SMEs as well as recommendations given by several authors to ensure success in the process.
Solar fed BLDC motor drive for mixer grinder using a buck-boost converter
Authors: Nayak Deekshitha S. , Shivarudraswamy R.
Published: March 2020

In existing mixer grinders, the universal motor is used due to its high starting torque than the induction motor. To achieve higher speed for smaller devices, the implementation of the universal motor becomes cheaper. The absence of brushes and the reduction of noise in the BLDC extends its lifetime, making it ideal for a mixer grinder. The solar-powered BLDC motor drive for a mixer grinder is presented in this paper. A DC-DC buck boost (BB) converter is utilised to operate the PV (photovoltaic) array at its highest power. The proposed hysteresis current (HC) control BLDC system is developed in the MATLAB. A comparison performance is demonstrated between the commercially available mixer grinder and the simulated proposed system.
A 2.45 GHz microstrip antenna with harmonics suppression capability by using defected ground structure
Authors: Shah Shaharil Mohd , Mohamad M. , Hamzah S. A. , Abidin Z. Z. , Seman F. C. , Katiran N. , Majid H. A. , Ashyap A. , Mohamad S.
Published: March 2020

In this work, a microstrip patch antenna with an inset feed and defected ground structure (DGS) is designed at the resonant frequency of 2.45 GHz. The antenna is designed on a FR-4 substrate with a dielectric constant, εr of 4.5, loss tangent, tan δ of 0.019 and thickness, h of 1.6 mm. The technique of DGS is used to avoid the use of additional circuits in the antenna to suppress the harmonics. By introducing a single and additional slots DGS at both ends on the antenna ground plane, the proposed microstrip patch antenna is able to suppress the higher order harmonics. The reflection coefficient, S11 is -38.75 dB at 2.45 GHz. The proposed antenna have suppressed the higher order harmonics effectively from -38.04 dB to -2.61 dB at 4.54 GHz and from -13.08 dB to -1.38 dB at 5.76 GHz. The prototype of the antenna is fabricated for the verification of the design. The simulated and measured results are found to be in a good agreement.
Key strategic issues pharmaceutical industry of SCM: A systematic literature review
Authors: Fernando Erick , Meyliana Meyliana , Hendric Spits Warnars Harco Leslie , Abdurachman Edi
Published: March 2020

In this global era, making the competition in the pharmaceutical industry is very treacly. Implementation Supply chain management is the process of planning and managing all sourcing, procurement, distribution activities to increase value to customers and interested companies. Pharmaceutical companies are one that has a very complex supply chain. In this article will discuss the main issues that can improve industry strategic. This research is done by the systematic approach of literature to find things related to research. This study used 64 articles from search results. The results of this search are key issues in the pharmaceutical industry such as product and process development, capacity planning, factory and network design, e-business and IT applications, inventory management, outsourcing and reverse logistics, lean manufacturing, performance measures, people, and information technology. All of these findings are issues that improve the performance of supply chain management in the pharmaceutical industry.
An effective transmit packet coding with trust-based relay nodes in VANETs
Authors: Hammood Omar A. , Nizam Mohmad Kahar Mohd , Hammood Waleed A. , Hasan Raed Abdulkareem , Mohammed Mostafa Abdulghfoor , Yoob Ayoob A. , Sutikno Tole
Published: March 2020

Vehicular ad-hoc networks (VANETs) are characterized by limited network resources such as limited bandwidth and battery capacity. Hence, it is necessary that unnecessary use of network resources (such as unnecessary packet transfers) is reduced in such networks so that the available power can be conserved for efficient multicast communications. In this paper, we have presented a Transmit Packet Coding (TPC) Network Coding in VANET to ensure reliable and efficient multicasting. With network coding, the number of transmitted packets over the network can be reduced, ensuring efficient utilization of network devices and resources. Here, the trust-based graph optimization is performed using Cuckoo search algorithm to select the secure relay nodes. The experimental results showed the superiority of the presented approach compared to the existing techniques in terms of throughput, latency, hop delay, packet delivery ratio, network decoder outage probability, and block error rate.
Recognition of vehicle make and model in low light conditions
Authors: Abbas Aymen Fadhil , Sheikh Usman Ullah , Norzali Haji Mohd Mohd
Published: March 2020

This paper presents a method for vehicle make and model recognition (MMR) in low lighting conditions. While many MMR methods exist in the literature, these methods are designed to be used only in perfect operating conditions. The various camera configuration, lighting condition, and viewpoints cause variations in image quality.  In the presented method, the vehicle is first detected, image enhancement is then carried out on the detected front view of the vehicle, followed by features extraction and classification. The performance is then examined on a low-light dataset. The results show around 6% improvement in the ability of MMR with the use of image enhancement over the same recognition model without image enhancement.
CPU implementation using only logisim simulator to achieve computer architecture learning outcome
Authors: Hanafi Ichsan Mochammad Hannats , Kurniawan Wijaya
Published: March 2020

This paper proposes the design, implementation, and evaluation of an 8-bit CPU architecture in computer organization and architecture (COA) course for Undergraduate Computer Engineering using only Logisim simulator. The main advantage of using one simulator is the elimination of inefficiency so that students can concentrate more on the course’s content without spending their time just to learn how to use each different type of simulators. To achieve that, a simple CPU architecture is pre-designed and be implemented in Logisim simulator. According to previous researches, Mic-1 CPU architecture is chosen because it is the simplest one and can be easily built using many simple logic gates already existed in the Logisim. To evaluate the desired outcome, students are separated into two different groups. Each group used different type of learning media and material and then their examination scores and satisfaction are compared to each other. Every student belongs to the group that only used Logisim simulator obtained higher score and more than 50% are satisfied with the new learning process and material. Thus, it envisaged that this method will made the delivering learning process in COA course be more efficient than what has happened so far.
Visual analytics of 3D LiDAR point clouds in robotics operating systems
Authors: Azri Alia Mohd , Abdul-Rahman Shuzlina , Hamzah Raseeda , Aziz Zalilah Abd , Bakar Nordin Abu
Published: March 2020

This paper presents visual analytics of 3D LiDAR point clouds in robotics operating system. In this study, experiment on Simultaneous Localization and Mapping (SLAM) using point cloud data derived from the Light Detection and Ranging (LiDAR) technology is conducted. We argue that one of the weaknesses of the SLAM algorithm is in the localization process of the landmarks. Existing algorithms such as Grid Mapping and Monte Carlo have limitations in dealing with 3D environment data that have led to less accurate estimation. Therefore, this research proposes the SLAM algorithm based on Real-Time Appearance-Based (RTAB) and makes use of the Red Green Blue (RGB) camera for visualisation. The algorithm was tested by using the map data that was collected and simulated on the Robot Operating System (ROS) in Linux environment. We present the results and demonstrates that the map produced by RTAB is better compared to its counterparts. In addition, the probability for the estimated location is improved which allows for better vehicle maneuverability.
Security issues and framework of electronic medical record: A review
Authors: Adamu Jibril , Hamzah Raseeda , Rosli Marshima Mohd
Published: March 2020

The electronic medical record has been more widely accepted due to its unarguable benefits when compared to a paper-based system. As electronic medical record becomes more popular, this raises many security threats against the systems. Common security vulnerabilities, such as weak authentication, cross-site scripting, SQL injection, and cross-site request forgery had been identified in the electronic medical record systems. To achieve the goals of using EMR, attaining security and privacy is extremely important. This study aims to propose a web framework with inbuilt security features that will prevent the common security vulnerabilities in the electronic medical record. The security features of the three most popular and powerful PHP frameworks Laravel, CodeIgniter, and Symfony were reviewed and compared. Based on the results, Laravel is equipped with the security features that electronic medical record currently required. This paper provides descriptions of the proposed conceptual framework that can be adapted to implement secure EMR systems.
Social networking mobile apps framework for organizing and facilitating charitable and voluntary activities in Malaysia
Authors: Mostafa Salama A. , Mustapha Aida , Shamala Palaniappan , Obaid Omar Ibrahim , Khalaf Bashar Ahmed
Published: March 2020

Numerous non-profit driven establishments depend on volunteers to help achieve their administrative targets. Despite the fact that volunteers work side-by-side or now and again substitute representatives in delivering services, inputting volunteer work into non-profit ventures of delivering services presents remarkable difficulties. Understanding these difficulties provides a significant fundamental building step in comprehending the influence these challenges have on service developmental plans and operations when utilizing volunteers. In this study, the paper brings forward a Charity Fundraising Information System (CFIS) framework and presents the modelling and evaluation of a plan and operational variables applicable to volunteer fulfilment in non-profit driven organizations. Discoveries indicate that fulfilled volunteers are bound to stay longer with the same establishment, give monetarily to the non-profit driven organization, and prescribe the volunteer involvement to other people. Every one of these results guarantees the continuous sustenance of the non-profit driven establishment.
Review on techniques and file formats of image compression
Authors: Qasim Alaa Jabbar , Din Roshidi , Qasim Ahmed Alyousuf Farah
Published: March 2020

This paper presents a review of the compression technique in digital image processing. As well as a brief description of the main technologies and traditional format that commonly used in image compression. It can be defined as image compression a set of techniques that are applied to the images to store or transfer them in an effective way. In addition, this paper presents formats that use to reduce redundant information in an image, unnecessary pixels and non-visual redundancy. The conclusion of this paper The results for this paper concludes that image compression is a critical issue in digital image processing because it allows us to store or transmit image data efficiently.
Hybrid neural networks in cyber physical system interface control systems
Authors: Sokolov Sergei , Zhilenkov Anton , Chernyi Sergei , Nyrkov Anatoliy , Glebov Nikolay
Published: March 2020

The calculation and results of simulation of the magnetic control system for the spacecraft momentum are presented in the paper. The simulation includes an assessment of the reliability of calculating the Earth's magnetic field parameters, as well as an assessment of the quality of object stabilization by resetting the total momentum with the aid of the system under review. The outcome of a comparative analysis of resource efficiency and energy efficiency are demonstrated in the implementation of the proposed hardware models of controllers on FPGA. The strengths and weaknesses of the programming models are shown. The developed models will allow to be modified and perform more complex operations in the future.
Experimental simulation analysis for single phase transformer tests
Authors: Hamoodi Ali N. , Hammad Bashar A. , Abdullah Fawaz S.
Published: March 2020

Transformer is one of main components in electrical power system which role to increase or reduce voltage. Characteristics of transformer would be vital to ensure the voltage is fully transferred. A single-phase transformer is a type of power transformer that utilizes single-phase alternating current, meaning the transformer relies on a voltage cycle that operates in a unified time  phase. This article describes a workflow executed with Mat lab simulation and practical measurements for single-phase power transformer, no-load, short-circuit test and load test are achieved in this work. The test procedures are implemented on areal transformer (terco-type) which has a specification (1 KVA, 220/110 V, 50 Hz). Finally, the simulation results are appeared a proximately seminar from the practical results. The results indicated that the the technique and manner which presented in the current study can be depended as a miniproject in electrical technology mater for undergraduate studies.
Application of deep learning to enhance the accuracy of intrusion detection in modern computer networks
Authors: Majidpour Jafar , Hasanzadeh Hiwa
Published: March 2020

Application of deep learning to enhance the accuracy of intrusion detection in modern computer networks were studied in this paper. The identification of attacks in computer networks is divided in to two categories of intrusion detection and anomaly detection in terms of the information used in the learning phase. Intrusion detection uses both routine traffic and attack traffic. Abnormal detection methods attempt to model the normal behavior of the system, and any incident that violates this model is considered to be a suspicious behavior. For example, if the web server, which is usually passive, tries to There are many addresses that are likely to be infected with the worm. The abnormal diagnostic methods are Statistical models, Secure system approach, Review protocol, Check files, Create White list, Neural Networks, Genetic Algorithm, Vector Machines, decision tree. Our results have demonstrated that our approach offers high levels of accuracy, precision and recall together with reduced training time. In our future work, the first avenue of exploration for improvement will be to assess and extend the capability of our model to handle zero-day attacks.
Information processing in info-communication media of geodynamic monitoring on the basis of adaptive queuing system
Authors: R. Kuzichkin O. , T. Eremenko V. , V. Loginov I. , V. Grecheneva A. , V. Eremenko A. , V. Dorofeev N.
Published: March 2020

The paper considers the problem of modeling the processing of geodynamic information in a reconfigurable information-communication environment of geodynamic monitoring based on an adaptive queuing system. It was established that due to the complexity and diversity of geodynamic information, the number of geodynamic control points is expanding and the number of controlled parameters, the number of controlled objects of natural-technical systems (NTS) are increasing. This leads to an increase in the overall load on the info-communication monitoring environment, an increase in the processing time and the response time of the NTS geodynamic stability control system to negative changes. This leads to the need for adaptive optimization of the info-communication environment of geodynamic monitoring. The model of a composite stream describing the change in the nature of the tasks performed by geodynamic monitoring was determined, approaches to reconfiguration management based on minimization of the loss functional were proposed. The constructed model of the process of functioning and the analytical dependencies obtained for it allow analyzing the process of processing geodynamic information in info-communication environments to optimize the mechanisms of their functioning.
Automated irrigation system based on soil moisture using arduino board
Authors: A. Hamoodi Safwan , N.Hamoodi Ali , M.Haydar Ghanim
Published: March 2020

In recent years, the best system of irrigation is studied by reducing the wasted amount of water and electricity. Automatic irrigation is the use of a device to operate irrigation structures so the change of flow of water from one bay, or set of bays, to another can occur in the absence of the irrigator. In this work, automatic control system of solar irrigation implemented practically using Arduino board. This photovoltaic (PV) system is applied in the garden of Engineering Technical College- Mosul (city in Iraq). PV system can be adjusted by many regions in Iraq where it planned to connect on small part of land. Irrigation process is controlled depending on moisture sensor that connected to sense the soil moisture and giving data to Arduino read pin. According to the program that uploaded to Arduino, DC pump can be controlled as ON-state or OFF-state as respect to the soil moisture percentage ratio. Finally, the practical results are approximately similar to that obtained from proteus Arduino simulator.
Video steganography based on DCT psychovisual and object motion
Authors: Fuad Muhammad , Ernawan Ferda
Published: March 2020

Steganography is a technique of concealing the message in multimedia data. Multimedia data, such as videos are often compressed to reduce the storage for limited bandwidth. The video provides additional hidden-space in the object motion of image sequences. This research proposes a video steganography scheme based on object motion and DCT-psychovisual for concealing the message. The proposed hiding technique embeds a secret message along the object motion of the video frames. Motion analysis is used to determine the embedding regions. The proposed scheme selects six DCT coefficients in the middle frequency using DCT-psychovisual effects of hiding messages. A message is embedded by modifying middle DCT coefficients using the proposed algorithm. The middle frequencies have a large hiding capacity and it relatively does not give significant effect to the video reconstruction. The performance of the proposed video steganography is evaluated in terms of video quality and robustness against MPEG compression. The experimental results produce minimum distortion of the video quality. Our scheme produces a robust of hiding messages against MPEG-4 compression with average NC value of 0.94. The proposed video steganography achieves less perceptual distortion to human eyes and it's resistant against reducing video storage.
Hand gesture recognition using discrete wavelet transform and convolutional neural network
Authors: Priatama Muhammad Biyan , Novamizanti Ledya , Aulia Suci , Candrasari Erizka Banuwati
Published: March 2020

Public services are available to all communities including people with disabilities. One obstacle that impedes persons with disabilities from participating in various community activities and enjoying the various public services available to the community is information and communication barriers. One way to communicate with people with disabilities is with hand gestures. Therefore, the hand gesture technology is needed, in order to facilitate the public to interact with the disability. This study proposes a reliable hand gesture recognition system using the convolutional neural network method. The first step, carried out pre-processing, to separate the foreground and background. Then the foreground is transformed using the discrete wavelet transform (DWT) to take the most significant subband. The last step is image classification with convolutional neural network. The amount of training and test data used are 400 and 100 images repectively, containing five classes namely class A, B, C, # 5, and pointing. This study engendered a hand gesture recognition system that had an accuracy of 100% for dataset A and 90% for dataset B.
Quality and size assessment of quantized images using K-Means++ clustering
Authors: Ongkadinata Davin , Putri Farica Perdana
Published: March 2020

In this paper, an amended K-Means algorithm called K-Means++ is implemented for color quantization. K-Means++ is an improvement to the K-Means algorithm in order to surmount the random selection of the initial centroids. The main advantage of K-Means++ is the centroids chosen are distributed over the data such that it reduces the sum of squared errors (SSE).  K-Means++ algorithm is used to analyze the color distribution of an image and create the color palette for transforming to a better quantized image compared to the standard K-Means algorithm. The tests were conducted on several popular true color images with different numbers of K value: 32, 64, 128, and 256. The results show that K-Means++ clustering algorithm yields higher PSNR values and lower file size compared to K-Means algorithm; 2.58% and 1.05%. It is envisaged that this clustering algorithm will benefit in many applications such as document clustering, market segmentation, image compression and image segmentation because it produces accurate and stable results.
Triple layer image security using bit-shift, chaos, and stream encryption
Authors: Susanto Ajib , Setiadi De Rosal Ignatius Moses , Rachmawanto Eko Hari , Wahyu Mulyono Ibnu Utomo , Sari Christy Atika , Sarker Md Kamruzzaman , Sazal Musfiqur Rahman
Published: March 2020

One popular image security technique is image encryption. This research proposes an image encryption technique that consists of three encryption layers, i.e. bit-shift encryption, chaos-based encryption, and stream encryption. The chaos algorithm used is Arnold's chaotic map, while the stream cipher algorithm used is RC4. Each layer has different cryptology characteristics in order to obtain safer image encryption. The characteristics of cryptology are permutation, confusion, diffusion, and substitution. The combination of the proposed encryption method aims to secure images against various attacks, especially attacks on statistics and differentials. The encryption method testing is done by various measuring instruments such as statistical analysis, i.e. entropy information, avalanche effect, and histogram, differential analysis, i.e. UACI and NPCR, visual analysis using PSNR and SSIM, and bit error ratio. Based on the results of experiments that the encryption method that we propose can work excellently based on various measurement instruments. The decryption process can also work perfectly this is evidenced by the ∞ value based on PSNR, and zero value based on SSIM and BER.
An intelligent agent model for learning group development in the digital learning environment: A systematic literature review
Authors: Putro Budi Laksono , Rosmansyah Yusep , Suhardi Suhardi
Published: March 2020

Group development is the first and most important step for the success of collaborative problem solving (CPS) learning in the digital learning environment (DLE). A literacy study is needed for studies in the intelligent agent domain for group development of collaborative learning in DLE. This paper is a systematic literature review (SLR) of intelligent agents for group formation from 2001 to 2019. This paper aims to find answers to 4 (four) research questions, namely: 1) What components to develop intelligent agents for group development; 2) What is the intelligent agent model for group development; 3) How are the metrics for measuring intelligent agent performance; and 4) How is the Framework for developing intelligent agent. The components of the intelligent agent model consist of: member attributes, group attributes (group constraints), and intelligent techniques. This research refers to Srba and Bielikova's group development model. The stages of the model are formation, performing and closing. An intelligent agent model at the formation stage. A performance metric for the intelligent agent at the performance stage. The framework for developing an intelligent agent is a reference to the stages of development, component selection techniques, and performance measurement of an intelligent agent.
Basic principles of blind write protocol
Authors: Anshar Khairul , Suryana Nanna , Noraswaliza Noraswaliza
Published: March 2020

The current approach to handle interleaved write operation and preserve consistency in relational database system still relies on the locking protocol. If any entity is locked by any transaction, then it becomes temporary unavailable to other transaction until the lock is released. The temporary unavailability can be more often if the number of write operation increases as happens in the application systems that utilize IoT technology or smartphone devices to collect the data. To solve this problem, this research is proposed blind write protocol which does not lock the entity while the transaction is performing a write operation. This paper presents the basic principles of blind write protocol implementation in a relational database system
The study of attention estimation for child-robot interaction scenarios
Authors: Attamimi Muhammad , Omori Takashi
Published: March 2020

One of the biggest challenges in human-agent interaction (HAI) is the development of an agent such as a robot that can understand its partner (a human) and interact naturally. To realize this, a system (agent) should be able to observe a human well and estimate his/her mental state. Towards this goal, in this paper, we present a method of estimating a child's attention, one of the more important human mental states, in a free-play scenario of child-robot interaction (CRI). To realize attention estimation in such CRI scenario, first, we developed a system that could sense a child's verbal and non-verbal multimodal signals such as gaze, facial expression, proximity, and so on. Then, the observed information was used to train a model that is based on a Support Vector Machine (SVM) to estimate a human's attention level. We investigated the accuracy of the proposed method by comparing with a human judge's estimation, and obtained some promising results which we discuss here.
Design aspects of high voltage transmission line
Authors: Fahad Jabbar Qasim , Chillab Riyadh Kamil
Published: March 2020

The transmission lines are very important in the transmitted of electrical power, and the process of selecting the voltage of the line is an important task in the design and implementation process. The process of transferring electrical power from one side then onto the next place for long away. While maintaining the percentage regulation within the permissible limits is an important problem in the transfer of energy. In electrical transmission line there are important elements are resistance, inductance and capacitance. The purpose of this paper is to study and calculate economic high-tension voltage and selection of overhead line conductor ACSR.
PNSCares: The android based mobile application to manage student complaints
Authors: Illias N. , H. Abdul Hamid N. , Shaffiei Z. A.
Published: March 2020

Managing the complaint is tough to handle, efficient response to the complaints from the customer can be an indicator to measure an organization’s performance. We’ve chosen Politeknik Nilai as one of the institutions that are facing daily complaints from the students and parents. Currently, they are using the manual form to lodge a complaint and receive the feedback via email. In this study, we developed an android based mobile application to manage the students’ complaint. With mobile apps, the management can prevent the loss of complaint forms and keep track of the records. This system will send feedback and notification directly via students’ mobile phone. This study referred to the ten principles for effective complaint handling by Ombudsman. We only referred to eight principles to construct the PNSCares. The methodology used to develop mobile apps is using the Mobile Application Development Life Cycle (MADLC). System Usability Scale (SUS) is used to measure the effectiveness of the mobile apps. The feedbacks from ten respondents on the PNSCares prototype are good with 72 scores in SUS for perceived usefulness and ease of use factor. Based on the result, the prototype is effective and easy to use.
Diagnosis of arrhythmia based on ECG analysis using CNN
Authors: AL-Huseiny Muayed S. , Abbas Noor Khudhair , Sajit Ahmed S.
Published: March 2020

Arrhythmia is the prime indicator of serious heart issues, and, hence, it is essential to be detected properly for early phase treatment. This article presents an approach for the diagnosis of cardiac disorders via the recognition of 17 types of arrhythmia. The proposed approach includes building a convolution neural network (2D-CNN) which is trained by using images of Electrocardiograph (ECG) signals collected from the MIH-BIH database. The ECGs are first converted into images. This step serves twofold: first, CNN is best suited for classifying image data and thus reduces preprocessing, and second, most ECG recordings are still being produced on thermal paper which can then be captured as image. Next, 2D-CNN is trained and validated. Test results show that the proposed method achieves classification accuracy of 96.67% and error of 0.004%. in addition to the superior accuracy achieved by this method compared to the previous literature, this approach enjoys reduced processing time and complexity apart from the training phase, also by dealing with images this method offers high degree of versatility and can be integrated as utility within other applications or wearables.
IPv6 campus transition: A Central Luzon State University case study
Authors: Naagas Marlon A. , Macabale Jr Nemesio A. , Palaoag Thelma D.
Published: March 2020

Internet connections still use IPv4 as the primary address protocol and it is now facing exhaustion. However, academic institutions specifically in the Philippines should devise steps to address the exhaustion of IPv4. In this paper, this is brought to light as we present the IPv4 to IPv6 campus transition techniques to address the issue. The experiment is carried out in Central Luzon State University and is assessed if the university is able to adopt the IPv6 transition in their campus network. Two IPv6 transition mechanisms were implemented and tested. As a general result, it has been found out, through testbeds, that the dual-stack transition mechanism is more suitable than 6 to 4 tunnel broker. The results have also shown that 6 to 4 tunnel broker was outperformed by dual-stack transition mechanism in all areas and presents better performance. Additionally, results also showed that IPv4 presents slight advantages in terms of network performance than IPv6 with a very small percentage in difference, and this does mean that migration to IPv6 is possible without performance detriments. Furthermore, the results also provide a proof of concept for the university especially in the Philippines to consider IPv6 for future migration within their campus network.
ЕНДОМЕТРІОЗ ТА БЕЗПЛІДДЯ
Authors: Khmil S. V. , Kulyk I. I. , Pidhaina I. Ya.
Published: March 2020

Генітальний ендометріоз є однією з набільш актуальних проблем у сучасній гінекології, оскільки дане захворювання значно погіршує якість життя жінки, знижує її працездатність, призводить до безпліддя. Питання збереження репродуктивного здоров’я є однією із пріоритетних проблем і основних стратегій у сучасній гінекології та репродуктології. У статті висвітлено основні патогенетичні ланки ендометріозасоційованого безпліддя та сучасні методи лікування даної групи пацієнток.
КЛІНІКО-ПАТОГЕНЕТИЧНІ ПРИЧИНИ РОЗВИТКУ УСКЛАДНЕНЬ ПРИ БАГАТОПЛІДНІЙ ВАГІТНОСТІ
Authors: Boychuk A. V. , Nikitina I. M. , Koblosh N. D.
Published: March 2020

Мета дослідження – вивчити вплив факторів росту плаценти на перебіг гестаційного процесу при багатоплідній вагітності.
Матеріали та методи. Проведено проспективне дослідження перебігу вагітності та пологів у 320 жінок із багатоплідною вагітністю, котрі склали основну групу обстежуваних, та у 40 здорових жінок з одноплідною вагітністю. Рівень PlGF в сироватці крові визначали методом твердофазного імуноферментного аналізу з використанням наборів моноклональних антитіл у першому триместрі вагітності. Показники системи гемостазу (судинно-тромбоцитарна та коагуляційна ланка) оцінювали за загальноприйнятими методиками. Доплерометрію плацентарного та плодового кровотоку проводили у маткових артеріях, артерії і вені пуповини, середній мозковій артерії плода.
Результати дослідження та їх обговорення. Жінки з багатоплідною вагітністю входять до групи ризику розвитку гестаційних ускладнень: передчасних пологів у 67,8 % (р<0,01), фетоплацентарної дисфункції, прееклампсії – у 17,5 % (р<0,05) випадків. Виявлені порушення з боку судинно-тромбоцитарного та коагуляційного гомеостазу у І триместрі вагітності є основними факторами ризику дострокового переривання вагітності. Доведено, що низький рівень фактора росту плаценти в сироватці крові вагітних при багатоплідді у випадку розвитку передчасних пологів, фетоплацентарної дисфункції та прееклампсії – (111,23±8,4), (203,24±6,4) та (305,86±7,4) пг/мл порівняно з відповідними показниками при одноплідній вагітності – (418,2±10,4) пг/мл є прогностичним маркером розвитку даних гестаційних ускладнень.
Висновки. Своєчасне проведення медикаментозної корекції гестаційних ускладнень при багатоплідній вагітності з використанням мікронізованого прогестерону, низькомолекулярних гепаринів, ангіопротекторів дозволило пролонгувати вагітність при монохоріальному типі плацентації на 3,2 тижня (до (34,2±2,4) тижнів), а у випадку з дихоріальною двійнею – до терміну доношеної вагітності.
КУЛЬГАВА ДИТИНА, ОСНОВНІ АСПЕКТИ ДИТЯЧОЇ ОРТОПЕДІЇ
Authors: Protsailo M. D. , Protsailo O. M.
Published: March 2020

Розлади ходи є одним з перших проявів захворювань опорно-рухового апарату дитини, з якими стикаються не тільки ортопеди, хірурги, а й терапевти та лікарі загальної практики. Незважаючи на успіхи сучасної ортопедії та стрімкий розвиток медицини в цілому, першопричину кульгавості інколи встановити надзвичайно важко, тому результати лікування є незадовільними. Це пов’язано з особливостями будови дитини та неправильним трактуванням суб’єктивних, об’єктивних даних обстежень, пізньою діагностикою захворювань. Тривають дискусії щодо діагностики, лікування та класифікації дегенеративно-дистрофічних захворювань кістяка дітей. Також залишаються актуальними питання ранньої діагностики, в тому числі й лікування, доброякісних і злоякісних пухлин кісток. Отже, метою цієї роботи є аналіз сучасної літератури щодо правильної оцінки розладів ходи з використанням сучасних діагностичних досягнень. Сучасним і перспективним напрямком діагностики є розробка ранніх маркерів захворювань на основі генетики, імунології, біохімії. Домінуючими методами обстеження дітей залишаються УЗД, МРТ, рентгенографія.