bluuebunny/crossref_metadata_2025 huggingface dataset:
A Computational Analysis of ECC Based Novel Authentication Scheme in VANET
Authors: Godse Sachin P. , Mahalle Parikshit N.
Published: January 2019

A recent development in the adhoc network is a vehicular network called VANET (Vehicular Adhoc Network). Intelligent Transportation System is the Intelligent application of VANET. Due to open nature of VANET attacker can launch various kind of attack. As VANET messages are deal with very crucial information’s which may save the life of passengers by avoiding accidents, save the time of people on a trip, exchange of secret information etc., because of this security is must be in the VANET. To ensure the highest level of security the network should be free from attackers, there by all information pass among nodes in the network must be reliable i.e. should be originated by an authenticated node. Authentication is the first line of security in VANET; it avoids nonregistered vehicle in the network. Previous research come up with some Cryptographic, Trust based, Id based, Group signature based authentication schemes. A speed of authentication and privacy preservation is important parameters in VANET authentication. This paper addresses the computational analysis of authentication schemes based on ECC. We started analysis from comparing plain ECC with our proposed AECC (Adaptive Elliptic Curve Cryptography) and EECC (Enhanced Elliptic Curve Cryptography). The result of analysis shows proposed schemes improve speed and security of authentication. In AECC key size is adaptive i.e. different sizes of keys are generated during key generation phase. Three ranges are specified for key sizes small, large and medium. In EECC we added an extra parameter during transmission of information from the vehicle to RSU for key generation. Schemes of authentications are evaluated by comparative analysis of time required for authentication and key breaking possibilities of keys used in authentication.
A UML Profile for Security and Code Generation
Authors: Lasbahani Abdellatif , Chhiba Mostafa , Tabyaoui Abdelmoumen
Published: January 2019

Recently, many research studies have suggested the integration of safety engineering at an early stage of modeling and system development using Model-Driven Architecture (MDA). This concept consists in deploying the UML (Unified Modeling Language) standard as aprincipal metamodel for the abstractions of different systems. To our knowledge, most of this work has focused on integrating security requirements after the implementation phase without taking them into account when designing systems. In this work, we focused our efforts on non-functional aspects such as the business logic layer, data flow monitoring, and high-quality service delivery. Practically, we have proposed a new UML profile for security integration and code generation for the Java platform. Therefore, the security properties will be described by a UML profile and the OCL language to verify the requirements of confidentiality, authorization, availability, data integrity, and data encryption. Finally, the source code such as the application security configuration, the method signatures and their bodies, the persistent entities and the security controllers generated from sequence diagram of system’s internal behavior after its extension with this profile and applying a set of transformations.
Performance Benchmarking of Key-Value Store NoSQL Databases
Authors: Osemwegie Omoruyi , Okokpujie Kennedy , Nkordeh Nsikan , Ndujiuba Charles , John Samuel , Stanley Uzairue
Published: January 2019

Increasing requirements for scalability and elasticity of data storage for web applications has made Not Structured Query Language NoSQL databases more invaluable to web developers. One of such NoSQL Database solutions is Redis. A budding alternative to Redis database is the SSDB database, which is also a key-value store but is disk-based. The aim of this research work is to benchmark both databases (Redis and SSDB) using the Yahoo Cloud Serving Benchmark (YCSB). YCSB is a platform that has been used to compare and benchmark similar NoSQL database systems. Both databases were given variable workloads to identify the throughput of all given operations. The results obtained shows that SSDB gives a better throughput for majority of operations to Redis’s performance.
UDP Pervasive Protocol Integration with IoT for Smart Home Environment using LabVIEW
Authors: Ichsan Mochammad Hannats Hanafi , Kurniawan Wijaya , Akbar Sabriansyah Rizqika
Published: January 2019

Pervasive computing is an environment which is used and integrated into every object and activities to meet human needs and its existence isn’t perceived as something specific. The concept of Smart Home is to assist human needs in an everyday object that performs controls or being controlled. Based on previous research the used communication protocol is UDP (User Datagram Protocol) and the programming language is LabVIEW. UDP is used because it does not require handshaking in the broadcast process, as well as on the use of memory more efficient than other protocols. Devices which perform controls called Host and which is controlled called Client. Both of them (Things) have an ability to send data to the Internet without any human interaction. So this research wants to conduct pervasive protocol between Host and Client which each device is integrated with the Internet of Things (IoT). Data are posted at dweet.io that is a cloud server website that contains a simple online data submission which has free services. This research is conducted to measure the communication performance between host to client, host to cloud server and client to cloud server that represents household equipment.
Detection of Drug Interactions via Android Smartphone: Design and Implementation
Authors: Hadjila Mourad , Merzougui Rachid , Irid Sidi Mohamed Hadj
Published: January 2019

Despite the morbidity and cases of widespread drug poisoning, clinical guidelines are largely written by taking into account only one treatment at a time. The cumulative impact of multiple treatments is rarely considered. Drug treatment for people with several diseases produces a complex regimen called “polypharmacy” with a potential combination of harmful and even lethal drugs that can be prevented. This polypharmacy causes in many cases the death of some people due to drug interactions. The vast majority of these deaths can be prevented by detecting interactions before taking these medications. But the problem is that such information exists in a state that is difficult to access for the general public, much less for people with little knowledge in the field. Although the pharmacist is unmistakable and most viable source to avoid such a problem, he cannot know what the patient does not mention because he is not aware of what may affect his treatment. To remedy this, we aim in this paper to develop an ergonomic Android application that will inform the patient about the potential risks of such drug interactions. The application is optimized to handle various databases and operate automation of QR code.
Trash Basket Sensor Notification Using Arduino with Android Application
Authors: ALFoudery Adel , Alkandari Abdulrahman Abdullah , Almutairi Nayfah Mohsen
Published: January 2019

The protection of society and environment from garbage accumulation and its polluting effects is carried by waste management companies, the services provided by these companies are improving life overall quality. By preserving raw materials, proper collecting and elimination of trash have reduced pollution and environmental impact. On the other hand, areas which are suffered from inappropriate negative service appreciate the garbage collector’s valuable efforts. Appropriate garbage collection and management facilities have made a recycling process improvement which caused a reduction in waste generation. Also controlling the released contaminators and pollutants has decreased the impact on landfills and protected the environment from the pollution negative effects. Using mobile and electronic technology to enable waste management companies to finish its work and make it easier for collecting trash in a simple and an easy way. We introduce Trash Sensor Android Application to help waste management companies detect trash levels to collect it and help citizens from undesired odours.
A Real Time Vein Detection System
Authors: Ahmed Kazi Istiaque , Habaebi Mohamed Hadi , Islam Md Rafiqul
Published: January 2019

Blood veins detection process can be cumbersome for nurses and medical practioners when it comes to special overweight type of patients.This simple routine procedure can lead the process into an extreme calamity for these patients. In this paper, we emphasized on a process for the detection of the vein in real time using the consecrations of Matlab to prevent or at least reduce the number of inescapable calamity for patients during the infusion of a needle by phlebotomy or doctor in everyday lives. Hemoglobin of the blood tissues engrossed the Near Infrared (NIR) illuminated light and Night vision camera is used to capture the scene and enhance the vein pattern clearly using Contrast Limited Adaptive Histogram Equalization (CLAHE) method. This simple approach can successfully also lead to localizing bleeding spots, clots from stroke …etc among other things.
Comparison of Entropy Coding mechanism on IEEE1857.2 Lossless Audio Compression Standard
Authors: Abdul Muin Fathiah , Surya Gunawan Teddy , Kartiwi Mira , M.A. Elsheikh Elsheikh
Published: January 2019

This paper has two objectives. First, we aim to review and analyze the performance of the IEEE 1857.2 standard, focusing is on the Golomb-Rice and Arithmetic entropy algorithms as well as the effect of the pre-processing block on these entropy blocks. The pre-processing block normalizes the error residue of the Linear Predictive encoder, which then is passed to Entropy block, where the selector chooses the entropy encoder to use. The second objective is to present results from experimenting different existing algorithms available to benchmark it’. The results are discussed, and comparisons are made to identify the effect on compression ratio and encoding speed of the lossless encoder. As well as this, comparison is made to analyze effects of enabling and disabling the pre-processing output to the Entropy Coding block. We concluded that pre-processing block works well to flatten the output at lower predictor order for all the sound types, but works best at improving the residual output for music sound type.
Study of Different Parametric Variations of MOSFET Pressure Sensor
Authors: Bhargava Shruti , Subbarao Spv
Published: January 2019

There is a growing demand of miniaturization of the electronics world. A brief discussion for simulating and fabrication of the MOSFET based pressure sensor in nanoscale is being reviewed in this paper. Aim of this paper is to collect all the scaling challenges and their solutions together to make understanding the facts of the MOSFET based sensor. As the MOSFET move from micro scale to nanoscale the functioning changes dramatically. The Silicon oxide material fails when scale down to nano region. However, many issues such as electrical quality , thermodynamic stability, Kinetic stability, gate compatibility and process compatibility were being solved in the process of integration and implementation.
Wavelet-Based Weighted Median Filter For Image Denoising Of MRI Brain Images
Authors: Rajalakshmi N. , Narayanan K. , Amudhavalli P.
Published: January 2019

Preliminary diagnosing of MRI images from the hospital cannot be relied on because of the chances of occurrence of artifacts resulting in degraded quality of image, while others may be confused with pathology. Obtained MRI image usually contains limited artifacts. It becomes complex one for doctors in analyzing them. By increasing the contrast of an image, it will be easy to analyze. In order to find the tumor part efficiently MRI brain image should be enhanced properly. The image enhancement methods mainly improve the visual appearance of MRI images. The goal of denoising is to remove the noise, which may corrupt an image during its acquisition or transmission, while retaining its quality. In this paper effectiveness of seven denoising algorithms viz. median filter, wiener filter, wavelet filter, wavelet based wiener, NLM, wavelet based NLM, proposed wavelet based weighted median filter(WMF) using MRI images in the presence of additive white Gaussian noise is compared. The experimental results are analyzed in terms of various image quality metrics.
Cluttered Traffic Distribution in LoRa LPWAN
Authors: Bt. Zainal Nur Aishah , Habaebi Mohamed Hadi , Chowdhury Israth , Islam Md Rafiqul
Published: January 2019

Low Power WAN (LPWAN) is a wireless broad area network technology. It is interconnects using only low bandwidth, less power consumption at long range. This technology is operating in unauthorized spectrum which designed for wireless data communication. To have an insight of such long-range technology, this paper evaluates the performance of LoRa radio links under shadowing effect and realistic smart city utilities clutter grid distribution. Such environment is synonymous to residential, industrial and modern urban centers. The focus is to include the effect of shadowing on the radio links while attempting to study the optimum sink node numbers and their locations for maximum sensor node connectivity. Results indicate that the usual unrealistic random node distribution does not reflect actual real-life scenario where many of these sensing nodes follow the built infrastructure around the city of smart buildings. The system is evaluated in terms of connectivity and packet loss ratio.
Effects of Inter-Element Spacing and Number of Elements on Planar Array Antenna Characteristics
Authors: Hidayah Muhamad Adnan Noor , Md. Rafiqul Islam , Zahirul Alam AHM
Published: January 2019

Planar array antenna is seen as one of the innovative solutions of massive MIMO and 5G networks since they provide directive beams. In this paper, planar array antenna with square and rectangular arrangements based on 2 x 2 antenna elements as one subarray was proposed. Then, array factor for the the planar array antenna with up to 64 antenna elements was calculated to analyze the effects of inter-element spacing and number of elements on the antenna characteristics. Higher values of inter-element spacing contributed to higher number of side lobes, narrower main lobe, higher directivity and lower half power beamwidth (HPBW). Inter-element spacing equals to 0.5λ was found to be the most suitable value for planar array antenna design based on the analysis. Meanwhile, higher number of antenna elements increased the value of directivity of the planar array with narrower HPBW. Therefore, there is a tradeoff between directivity and HPBW in designing planar array antenna for massive MIMO application.       

 
Miniaturization of Broadband Wilkinson Power Dividers
Authors: Najib Nadera , Yeow You Kok , Yew Lee Chia , Ngasri Dimon Mohamad , Hisham Khamis Nor
Published: January 2019

This paper proposed three modified Wilkinson power dividers in order to achieve a size reduction and a wide bandwidth. The first structure presented the power divider using compact folded step impedance transmission lines rather than the uniform microstrip line design for operating center frequency of 3 GHz. The second structure showed the power divider with delta-stub for 2.4 GHz. Finally, the third modified structure introduced the two-section Wilkinson power divider using series-delta stub for center frequency of 2.4 GHz as well. The study managed to get an overall dimension of 15 mm × 9.5 mm for the first proposed design achieving a reduction of 75.6 % and fractional bandwidth of 133 %. For the second proposed structure, the size was 15 mm × 15 mm with a reduction of 56 % and fractional bandwidth of 56 %.  While the third design size was 17 mm × 15 mm with a reduction of 63.6 % and the structure achieved a broadband bandwidth with fractional bandwidth of 220 %.  The proposed power dividers used RT/duroid 5880 substrate with a thickness of 0.38 mm. Simulation and measurement results indicated that the modified power dividers showed equal power division, good phase balance, high isolation between output ports, and good return loss better than -12 dB covering the operating frequency range.
Dimming Techniques for Visible Light Communication System
Authors: A.Z. Suriza , Akter Sharmin , Shahnan M.
Published: January 2019

Visible light communication (VLC) is an emerging and promising new technology in optical wireless communication (OWC). However, dimming has an adverse effect on the performance of visible light communication system. In visible light communication (VLC) system, illumination and communication both are provided simultaneously using a light emitting diode (LED). The specification for lighting is application specific for which dimming control is required. There are different modulation techniques for dimming control in visible light communication. In this thesis, NRZ-OOK modulation method and 4-QAM-OFDM modulation techniques are investigated for different dimming range, transmission distance, beam divergence angle and bit rate. The result shows that for 13m link range, 5Gb/s data speed is achievable for the 4-QAM-OFDM scheme. The analysis of this research is executed only based on system parameters. The scope of this research excluded the following parameters which are shadowing, mobility, multipath interference and inter-symbol interference for multicarrier modulation. These are the related research topic which can be investigated for future work.
Grid & Force Based Sensor Deployment Methods in WSN using PSO
Authors: Pradeep Laturkar Aparna , Bhavani Sridharan , Adhyapak DeepaliParag
Published: January 2019

Wireless Sensor Network (WSN) is emergingtechnology and has wide range of applications, such as environment monitoring, industrial automation and numerous military applications. Hence, WSN is popular among researchers. WSN has several constraints such as restricted sensing range, communication range and limited battery capacity. These limitations bring issues such as coverage, connectivity, network lifetime and scheduling & data aggregation. There are mainly three strategies for solving coverage problems namely; force, grid and computational geometry based. PSO is a multidimensional optimization method inspired from the social behavior of birds called flocking. Basic version of PSO has the drawback of sometimes getting trapped in local optima as particles learn from each other and past solutions. This issue is solved by discrete version of PSO known as Modified Discrete Binary PSO (MDBPSO) as it uses probabilistic approach. This paper discusses performance analysis of random; grid based MDBPSO (Modified Discrete Binary Particle Swarm Optimization), Force Based VFCPSO and Combination of Grid & Force Based sensor deployment algorithms based on interval and packet size. From the results of Combination of Grid & Force Based sensor deployment algorithm, it can be concluded that its performance is best for all parameters as compared to rest of the three methods when interval and packet size is varied.
Random, PSO & MDBPSO based Sensor Deployment in WSN
Authors: Pradeep Laturkar Aparna , Bhavani Sridharan , Adhyapak DeepaliParag
Published: January 2019

Wireless Sensor Network (WSN) is emergingtechnology and has wide range of applications, such as environment monitoring, industrial automation and numerous military applications. Hence, WSN is popular among researchers. WSN has several constraints such as restricted sensing range, communication range and limited battery capacity. These limitations bring issues such as coverage, connectivity, network lifetime and scheduling and data aggregation. There are mainly three strategies for solving coverage problems namely; force, grid and computational geometry based. This paper discusses sensor deployment using Random; Particle Swarm Optimization (PSO) and grid based MDBPSO (Modified Discrete Binary Particle Swarm Optimization) methods. This paper analyzes the performance of Random, PSO based and MDBPSO based sensor deployment methods by varying different grid sizes and the region of interest (ROI). PSO and MDBPSO based sensor deployment methods are analyzed based on number of iterations. From the simulation results; it can be concluded that MDBPSO performs better than other two methods.
Swarm Based Cross Layer Optimization Protocol for WMSN
Authors: Adhyapak DeepaliParag , Bhavani Sridharan , Laturkar Aparna Pradeep
Published: January 2019

Wireless Multimedia Sensor Network (WMSN) is comprised of tiny, low cost multimedia devices such as video cameras and microphones. These networks can transfer scalar as well as multimedia data into real time as well as non-real time applications. However addition of such devices exposes additional challenges on both QoS assurance and energy efficiency for efficient use of resources.  This paper presents cross layer based AntSenseNet protocol to meet various QoS requirements such as throughput, jitter, lifetime and packet delivery ratio in order to improve network lifetime. Cross layer routing protocol utilizes scheduling algorithm and AntSenseNet protocol builds hierarchical structure and able to use multipath routing protocol.  Simulation results shows Cross layer based AntSenseNet protocol outperforms Ant Sense routing protocol and cross layer routing protocol in terms of throughput and packet delivery ratio
Ontological MobiHealth System
Authors: Khozouie Nasim , Fotouhi-Ghazvini Faranak , Minaei-Bidgoli Behrouz
Published: January 2019

MobiHealth systems are tele-monitoring systems based on BAN (Body Area Network) and mobile health care (m-health) service platform utilizing next generation public wireless networks.  Smart phone applications have self-monitoring and sensing capabilities and are used in health interventions and disease prevention. In this study, a prototype mobile sensing platform was introduced for m-Health and telemedicine applications, which medical sensors on patient body reports biological signals and environmental sensors send environment raw data to base station (smart phone). Then raw data were preprocessed and necessary features (situations) were extracted. In order to context computation and respond with adaptability, we have used ontology-based model.   
Task Scheduling in Heterogeneous Multiprocessor Environments – An Efficient ACO-Based Approach
Authors: Edward Nekiesha , Elcock Jeffrey
Published: January 2019

In heterogeneous computing environments, finding optimized solutions continues to be one of the most important and yet, very challenging problems. Task scheduling in such environments is NP-hard, so efficient mapping of tasks to the processors remains one of the most critical issues to be tackled. For several types of applications, the task scheduling problem is crucial, and across the literature, a number of algorithms with several different approaches have been proposed. One such effective approach is known as Ant Colony Optimization (ACO). This popular optimization technique is inspired by the capabilities of ant colonies to find the shortest paths between their nests and food sources. Consequently, we propose an ACO-based algorithm, called rACS, as a solution to the task scheduling problem. Our algorithm utilizes pheromone and a priority-based heuristic, known as the upward rank value, as well as an insertion-based policy and a pheromone aging mechanism to guide the ants to high quality solutions. To evaluate the performance of our algorithm, we compared our algorithm with the ACS algorithm and the ACO-TMS algorithm using randomly generated directed acyclic graphs (DAGs). The simulation results indicated that our algorithm experienced comparable or even better performance, than the selected algorithms.
Investigations of Component Carrier Selection Algorithms in Long Term Evolution-Advanced
Authors: Adibah Mohd Ramli Huda , Liza Asnawi Ani , Nadia Mohd Isa Farah , Wong Azman Amelia , ‘Ismat Hafizi Mansor Mohamad
Published: January 2019

Given that the demand for real-time multimedia contents that require significantly high data rate are getting of high popularity, a new mobile cellular technology known as Long term Evolution-Advanced (LTE-A) was standardized. The LTE-A is envisaged to support high peak data rate by aggregating more than one Component Carriers (CCs) of the same or different frequency bandwidths. Since the inter-band non-contiguous carrier aggregation is likely to be used due to the current frequency allocation, this paper provides a performance study of a number of CC selection algorithms for use in the inter-band non-contiguous downlink LTE-A. It should be noted that CC selection is of paramount importance in the LTE-A operating in backward compatible mode as the LTE-A contains a mixture of the legacy Long Term Evolution (LTE) users that support packets (re)transmission on a single CC and the LTE-A users that utilize more than one CCs for packets (re)transmission. Simulation results demonstrated the efficacy of the Channel-Throughput Aware (CTA) algorithm for maximizing the system capacity without compromising the required Quality of Service of real-time video users.
Data in Transit Validation for Cloud Computing Using Cloud-Based Algorithm Detection of Injected Objects
Authors: Funke Olanrewaju Rashidah , Islam Thouhedul , O. Khalifa Othman , Fajingbesi Fawwaz Eniola
Published: January 2019

The recent paradigm shift in the IT sector leading to cloud computing however innovative had brought along numerous data security concerns. One major such security laps is that referred to as the Man in the Middle (MITM) attack where external data are injected to either hijack a data in transit or to manipulate the files and object by posing as a floating cloud base. Fresh algorithms for cloud data protection do exist however, they are still prone to attack especially in real-time data transmissions due to employed mechanism. Hence, a validation protocol algorithm based on hash function labelling provides a one-time security header for transferable files that protects data in transit against any unauthorized injection. The labelling header technique allows for a two-way data binding; DOM based communication between local and cloud computing that triggers automated acknowledgment immediately after file modification. A two layer encryption functions in PHP was designed for detecting injected object; bcrypt methods in Laravel and MD5 that generate 32 random keys. A sum total of 1600 different file types were used during training then evaluation of the proposed algorithm, where 87% of the injected objects were correctly detected.
Meerkat Clan Algorithm: A New Swarm Intelligence Algorithm
Authors: Al-Obaidi Ahmed T. Sadiq , S. Abdullah Hasanen , O. Ahmed Zied
Published: January 2019

Evolutionary computation and swarm intelligence meta-heuristics are exceptional instances that environment has been a never-ending source of creativeness. The behavior of bees, bacteria, glow-worms, fireflies and other beings have stirred swarm intelligence scholars to create innovative optimization algorithms. This paper proposes the Meerkat Clan Algorithm (MCA) that is a novel swarm intelligence algorithm resulting from watchful observation of the Meerkat (Suricata suricatta) in the Kalahari Desert in southern Africa. This animal shows an exceptional intelligence, tactical organizational skills, and remarkable directional cleverness in its traversal of the desert when searching for food. A Meerkat Clan Algorithm (MCA) proposed to solve the optimization problems through reach the optimal solution by efficient way comparing with another swarm intelligence. Traveling Salesman Problem uses as a case study to measure the capacity of the proposed algorithm through comparing its results with another swarm intelligence. MCA shows its capacity to solve the Traveling Salesman’s Problem. Its dived the solutions group to sub-group depend of meerkat behavior that gives a good diversity to reach an optimal solution. Paralleled with the current algorithms for resolving TSP by swarm intelligence, it has been displayed that the size of the resolved problems could be enlarged by adopting the algorithm proposed here.
Development of Detection and Flood Monitoring via Blynk Apps
Authors: Md Kamal Mahanijah , Md Noar Nur Anum Zuraimi , Sabri Aqil Muhammad
Published: January 2019

Flash flood is a common disaster event occured at Jalan Ilmu 1/1, Universiti Teknologi MARA Shah Alam Campus when there is a heavily raindrops. This paper describes the development of prototype used for detection and monitoring purposes. Flash floods can lead to destruction of properties and infrastructures.This system is based on two NodeMCU based technology integrated using Blynk application (IOS or android). The wireless sensor network systems can help the citizens by detecting the water levels and give an early warning when a flood occurs faster and easy. Basically, there are two part of the system which are the sensor node and the base station. The sensor node detects the water level using an ultrasonic sensor and display the current water level.The first NodeMCU is placed at the identified flood area, whilst the second NodeMCU acts as the control unit. Data detected from the ultrasonic sensorsare sent to the Blynk application via wireless connection.Two test have been conducted to test the effectiveness of the propose system. It can be found that this prototype able to detect, monitor and give alarm to the affected area if the flash flood happens in the future.
Deduplication Analysis of Products In Digital Marketing
Authors: Amudhavalli P. , Rajalakshmi N. , Sindhu K.S.
Published: January 2019

As Digital Marketing is becoming more popular, the number of customer’s interpretation on brands is increasing promptly which makes it firmer for companies to evaluate their brand image and to digital market their products on the web. The Forensic Analysis is used to determine and analyze patterns of fraudulent activities on images. Pixel Analysis and Least square support vector machine are used to compare and associate the scores acquired from the images into one result per tweet. We selected these techniques to compare and find the accuracy of the Digital Marketing images with the received product’s images to identify the fraudulent activities on images in Digital Marketing. As the result of this project the customer can identify whether the received product is exactly what is given in the online purchase website.
Internal and External e-Customs Services IOS Application Case Study: Kuwait Customs Department
Authors: Aljaber Soha , Almutairi Nayfah Mohsen , Alkandari Abdulrahman
Published: January 2019

Government regulations usually characterized by the many stages of completion of any transaction and that causing a delay in the work and that wasting a lot of time. Especially with the particular customs system which consists of several points of entry, including land, sea, and air. In addition, the General Customs Department is one of the sensitive circuits in the state. Therefore, to continue the process any shipment or any transaction relating to customs, it requires a long time. This paper presented a design for an application that running on smartphones with IOS system. This application provides internal services and external services for the General Customs Department to ease the completion of any transaction either for the customs’ employee or the citizens. The employee uses the internal services section, and the external services section is used by the citizens. As a result of this application, it provides time and effort for the citizens and customs and decreasing the number of customs’ reviewers.
Characterization of Respiratory Conditions Using Labview and Digital Spirometer
Authors: Noorjannah Ibrahim S. , Jusoh A. Z. , Malik N. Abdul , Asnawi A. L. , Mazalan S.
Published: January 2019

One of the effective ways to diagnose various respiratory diseases is using spirometry test. Good spirometer comes with excellent graphical user interface. Spirometer is used to measure lung parameters such as Forced Expiratory Volume in the first second and the sixth seconds (FEV1 and FEV6). This paper presents an algorithm with Graphical User Interface (GUI) for characterization of respiratory conditions using LabVIEW Software. The whole spirometry system consists of a breathing circuitry with pressure sensor and a data acquisition board (NI sbRIO FPGA board). Results obtained from three different volunteers with different health performances are also presented in this paper. The FEV1/FEV6 ratio of a healthy volunteer is 81.1%, an asthma volunteer is 72.04%, and suspected bronchitis volunteer is 33.4%. Based on these results, the unhealthy volunteers tend to have smaller value of FEV1 with lower area under the curve when compared to healthy volunteer.
Verification of Quartz Crystal Microbalance Array using Vector Network Analyzer and OpenQCM
Authors: Anwar Zainuddin Ahmad , Nordin Anis Nurashikin , Ab. Rahim Rosminazuin , Md. Ralib Aliza Aini , Khan Sheroz , Guines Cyril , Chatras Matthieu , Pothier Arnaud
Published: January 2019

Quartz Crystal Microbalance (QCM) is a device that allows non-destructive measurements of r in situ reaction activities. In this article, an array comprising of six 3MHz QCM sensors in an array were characterized using a vector network analyzer and OpenQCM, a portable measuring instrument that measures change in resonance frequency. Measurements of S21 transmission characteristics using the vector network analyzer provides the resonance frequency and can also be used to derive the RLC equivalent electrical circuit values of a resonant two-port network based on the Butterworth-Van Dyke model. In this work, Rm, Lm, Cm and Co were obtained via curve-fitting of the measurement results to the simulated results. Measurements were done in triplicates to verify reproducibility for all 6 sensors. For comparison, measurements were also done using a portable, open-source instrument, OpenQCM. The OpenQCM instrument directly measures changes in resonance frequencies, making it ideal for biosensing experiments, which correlate changes in mass with changes in resonance frequencies. Comparison between resonance frequency measurements using VNA and OpenQCM exhibit low percentage difference 0.2%.  This QCM sensor array has the potential of conducting real-time, point-of-care analyses for detection of biological molecules. 
A Review on the Reclamation Technologies for Service-Aged Transformer Insulating Oils
Authors: Ab Ghani Sharin , Ahmad Noorden Zulkarnain , Muhamad Nor Asiah , Zainuddin Hidayat , Talib Mohd Aizam
Published: January 2019

Power transformers are the backbone of electricity transmission and distribution systems throughout the world. The price of power transformers is exorbitant (costing millions of dollars per unit) and therefore, frequent maintenance is necessary to ensure that these systems are highly reliable during their operation. The service life of mineral insulating oils is typically 30 to 40 years for power transformer applications. However, all insulating oils (regardless of their type) are subjected to thermal, electrical and chemical degradation, which will deteriorate the oil-paper insulating system and consequently reduce the capability of the oil as an electrical insulator. For these reasons, service-aged insulating oils are treated by two types of processes (i.e. reclamation and reconditioning) in order to prolong the service life of these oils. Reclamation (regeneration) is used to treat insulating oils with high levels of acidity and sludge. In this paper, a brief review on the reclamation technologies used to treat service-aged insulating oils is presented, covering various aspects such as the standard test methods that need to be complied with, the types of adsorbents used to reduce acidity and sludge of the used insulating oils, as well as the findings of several key studies related to the evaluation of the effectiveness of the reclamation process. This review will indeed benefit researchers and practitioners in this field since it provides an overall picture of the recent progress in reclamation technologies for service-aged transformer insulating oils
Performance of Cuk-KY Converter Fed Multilevel Inverter for Hybrid Sources
Authors: Vasudevan V. , Balaji K.
Published: January 2019

Distributed energy source based electricity generation is an essential factor for the economic growth and development of a country. The photovoltaic, fuel cell and battery based power generation offer a high voltage gain. The DC-DC CUK converter based on both buck and boost mode of operation is proposed for high gain dc link voltage. The hybrid CUK –KY Converter based multilevel inverter is designed and implemented. Here, the main advantages of hybrid boost mode operation of Cuk converter, step up configuration is used which will result in improve conversion voltage ratio and better damping of oscillations. The DC-DC converter voltage has regulated by the maximum power point tracking and PI control based method is used. The cascaded multilevel inverter in hybrid renewable energy production integrating with switched capacitor method is designed. The proposed converter is designed and implemented in MATLAB/SIMULINK environment.
Data Exfiltration of Ultrasonic Signal in Computer Security System: A Review
Authors: Jabar Farah H. A. , Mohammad Janatul Islah , Mohd Zain Ahmad Faizal , Hasan Abu Bakar
Published: January 2019

It is crucial for public users and service providers to stay abreast of the progress and trends on data exfiltration in computer security system. In cryptosystem, it is unnoticeable for computer and mobile users to realize that inaudible sound used to transmit signals carrying pervasive sensitive data was in the low frequency ultrasonic range. Acoustic attacks on ultrasonic signal emanated by electronic devices have long been investigated among researchers. This paper is an exploration on the practicality of ultrasonic data exfiltration between computers in term of computer security system. It will discuss some work done by previous researchers in general, based on scientific, technological, and security perspectives. There will be inclusions of practical applications already in existence as well as future studies in related fields.
Survey on Nano Technology
Authors: Alfoudery Adel , Alkandari Abdulrahman , Moein Samer
Published: January 2019

Recently, Nanotechnology has become a reality of great concerns all over the world, which seeks constitutes serious about expanding the scope of applications and investments of this technique. In this paper, we have introduced nanotechnology, since it has become the first rank among the priorities of scientific research in the world, where the expanded universities, research centers and institutions seek to employ nanotechnology in new products, industries, and technology.  We have discussed types of Nanomaterials in details and focused on the applications that use Nanotechnology. This paper confirms the view of scientists who look at this technique working as a component of the world's future, and a crucial factor that has led and will continue leading the world to a new industrial revolution
Reducing Total Power Consumption and Total Area Techniques for Network-on-Chip Through Disable Cores and Routers Based on Clustering Method
Authors: Phing Ng Yen , Warip M.N. Mohd , Ehkan Phaklen , Teo S.Y.
Published: January 2019

Network-on-Chip (NoC) is a promising solution to overcome the communication problem of System-on-Chip (SoC) architecture. The execution of topology, routing algorithm and switching technique is significant because it powerfully affects the overall performance of NoC. In the Network-on-Chip, the total power consumption increasing due to the large scale of network. In order to solve it, a clustering method and disable cores and routers based on clustering method is apply onto mesh based NoC architecture. In the proposed approach, the optimization of total area and total power consumption are the major concern. Experiment results show that the proposed method outperformas the existing work. The clustering-mesh based method reduced the total area by 22% to 40 % and total power consumption by 22% to 56% compare to mesh topology. In addition, the proposed method by disable cores and routers based on clustering-mesh based method has decrease the total area by 45% to 87% and total power consumption by 33% to 75% compare to mesh topology.
A Flexible Optical Sensor for Microalbuminuria Spectroscopy
Authors: Isaak Suhaila , Yusof Yusmeeraz , Mohd Yusof Khairunnisa , Kwan Khoo Ming
Published: January 2019

A flexible optical sensor unit was developed for the detection of albumin level in human urine. It consists of polydimethylsiloxane thinfilm with the microscopic glass as the substrate. A gradual increase of albumin level may indicate signs of health problem such as diabetes, hypertension, and endothelial dysfunction. The experimental results showed there are a spectral shift and an increase in absorbed light increase in intensity of light with sodium urate at different concentration as a substitute of urine sample. The transmittance and reflection of PDMS was determined in the 400–1400 nm wavelength range using halogen-detrium as the excitation light source to predict the sensor sensitivity based on the Beer–Lambert law. The results exhibited that the light intensity increases as the concentration of the sodium urate increases. This performance of prototype sensor ignites an alternative for albumin detection using flexible structure.
Speech Emotion Recognition Using Deep Feedforward Neural Network
Authors: Alghifari Muhammad Fahreza , Gunawan Teddy Surya , Kartiwi Mira
Published: January 2019

Speech emotion recognition (SER) is currently a research hotspot due to its challenging nature but bountiful future prospects. The objective of this research is to utilize Deep Neural Networks (DNNs) to recognize human speech emotion. First, the chosen speech feature Mel-frequency cepstral coefficient (MFCC) were extracted from raw audio data. Second, the speech features extracted were fed into the DNN to train the network. The trained network was then tested onto a set of labelled emotion speech audio and the recognition rate was evaluated. Based on the accuracy rate the MFCC, number of neurons and layers are adjusted for optimization. Moreover, a custom-made database is introduced and validated using the network optimized. The optimum configuration for SER is 13 MFCC, 12 neurons and 2 layers for 3 emotions and 25 MFCC, 21 neurons and 4 layers for 4 emotions, achieving a total recognition rate of 96.3% for 3 emotions and 97.1% for 4 emotions.Speech emotion recognition (SER) is currently a research hotspot due to its challenging nature but bountiful future prospects. The objective of this research is to utilize Deep Neural Networks (DNNs) to recognize human speech emotion. First, the chosen speech feature Mel-frequency cepstral coefficient (MFCC) were extracted from raw audio data. Second, the speech features extracted were fed into the DNN to train the network. The trained network was then tested onto a set of labelled emotion speech audio and the recognition rate was evaluated. Based on the accuracy rate the MFCC, number of neurons and layers are adjusted for optimization. Moreover, a custom-made database is introduced and validated using the network optimized.The optimum configuration for SER is 13 MFCC, 12 neurons and 2 layers for 3 emotions and 25 MFCC, 21 neurons and 4 layers for 4 emotions, achieving a total recognition rate of 96.3% for 3 emotions and 97.1% for 4 emotions.
Development of English Handwritten Recognition Using Deep Neural Network
Authors: Gunawan Teddy Surya , Mohd Noor Ahmad Fakhrur Razi , Kartiwi Mira
Published: January 2019

Due to the advanced in GPU and CPU, in recent years, Deep Neural Network (DNN) becomes popular to be utilized both as feature extraction and classifier. This paper aims to develop offline handwritten recognition system using DNN. First, two popular English digits and letters database, i.e. MNIST and EMNIST, were selected to provide dataset for training and testing phase of DNN. Altogether, there are 10 digits [0-9] and 52 letters [a-z, A-Z]. The proposed DNN used stacked two autoencoder layers and one softmax layer. Recognition accuracy for English digits and letters is 97.7% and 88.8%, respectively. Performance comparison with other structure of neural networks revealed that the weighted average recognition rate for patternnet, feedforwardnet, and proposed DNN were 80.3%, 68.3%, and 90.4%, respectively. It shows that our proposed system is able to recognize handwritten English digits and letters with high accuracy.
An Improved Image Steganography Algorithm Based on PVD
Authors: Newaj Bhuiyan Sharif Shah , Malek Norun Abdul , Khalifa Othman Omran , Abdul Rahman Farah Diyana
Published: January 2019

In this paper, a modification of PVD (Pixel value differencing) algorithm is used for Image Steganography in spatial domain. It is normalizing secret data value by encoding method to make the new pixel edge difference less among three neighbors (horizontal, vertical and diagonal) and embedding data only to less intensity pixel difference areas or regions. The proposed algorithm shows a good improvemernt for both color and gray-scale images compared to other algorithms. Color images performance are better than gray images. However, in this work the focus is mainly on gray images. The strenght of this scheme is that any random hidden/secret data do not make any shuttle differences to Steg-image compared to original image. The bit plane slicing is used to analyze the maximum payload that has been embeded into the cover image securely. The simulation results show that the proposed algorithm is performing better and showing great consistent results for PSNR, MSE values of any images, also against Steganalysis attack.
To Improve Feature Extraction and Opinion Classification Issues in Customer Product Reviews Utilizing an Efficient Feature Extraction and Classification (EFEC) Algorithm
Authors: Solainayagi Palaiyah , Ponnusamy Ramalingam
Published: January 2019

Currently, customer's product review opinion plays an essential role in deciding the purchasing of the online product. A customer prefers to acquire the opinion of other customers by viewing their opinion during online products' reviews, blogs and social networking sites, etc. The majority of the product reviews including huge words. A few users provide the opinion; it is tough to analysis and understands the meaning of reviews. To improve user fulfillment and shopping experience, it has become a general practice for online sellers to allow their users to review or to communicate opinions of the products that they have sold. The major goal of the paper is to solve feature extraction problem and opinion classification problem from customers utilized product reviews which extract the feature words and opinion words from product reviews. To propose an Efficient Feature Extraction and Classification (EFEC) algorithm is implementing to extracts a feature from opinion words. The reviewer usually marks both positive and negative parts of the reviewed product, despite the fact that their general opinion on the product may be positive or negative. An EFEC algorithm is utilized to predict the number of positive and negative opinion in reviews. Based on Experimental evaluations, proposed algorithm improves accuracy 15.05%, precision 13.7%, recall 15.59% and F-measure 15.07% of the proposed system compared than existing methodologies