Analysis of combined approaches of CBIR systems by clustering at varying precision levels

The image retrieving system is used to retrieve images from the image database. Two types of Image retrieval techniques are commonly used: content-based and text-based techniques. One of the well-known image retrieval techniques that extract the images in an unsupervised way, known as the cluster-based image retrieval technique. In this cluster-based image retrieval, all visual features of an image are combined to find a better retrieval rate and precisions. The objectives of the study were to develop a new model by combining the three traits i.e., color, shape, and texture of an image. The color-shape and color-texture models were compared to a threshold value with various precision levels. A union was formed of a newly developed model with a color-shape, and color-texture model to find the retrieval rate in terms of precisions of the image retrieval system. The results were experimented on on the COREL standard database and it was found that the union of three models gives better results than the image retrieval from the individual models. The newly developed model and the union of the given models also gives better results than the existing system named cluster-based retrieval of images by unsupervised learning (CLUE)

Unsupervised Content Based Image Retrieval by Combining Visual Features of an Image With A Threshold

Content-based image retrieval (CBIR) uses the visual features of an image such as color, shape and texture to represent and index the image. In a typical content based image retrieval system, a set of images that exhibit visual features similar to that of the query image are returned in response to a query. CLUE (CLUster based image rEtrieval) is a popular CBIR technique that retrieves images by clustering. In this paper, we propose a CBIR system that also retrieves images by clustering just like CLUE. But, the proposed system combines all the features (shape, color, and texture) with a threshold for the purpose. The combination of all the features provides a robust feature set for image retrieval. We evaluated the performance of the proposed system using images of varying size and resolution from image database and compared its performance with that of the other two existing CBIR systems namely UFM and CLUE. We have used four different resolutions of image. Experimentally, we find that the proposed system outperforms the other two existing systems in ecery resolution of imag

Methods on Moral Development of Teenagers by Luqman Al-Hakim: Application in Religious School Programs

This paper discusses the methods of adolescent\u27s moral development based on Luqman al-Hakim orders to his son in Surah Luqman verse 12-19. This paper also reveals who is Luqman al-Hakim, and the extent of moral development methods as set forth in verses 12-19 from Surah Luqman applied in religious programme of Islamic boarding schools in the state of Kedah. The study was conducted using a questionnaire that was distributed to 491 students from eleven Islamic boarding schools in Kedah. The results showed that the method of character development by Luqman al-Hakim was adopted and practiced by teachers in the schools\u27 religious programme with an overall mean score of 4.40 which is at a high level

Neural network-based diagnostic tool for detecting stator inter-turn faults in line start permanent magnet synchronous motors

Three-phase line-start permanent magnet synchronous motors are considered among the most promising types of motors in industrial applications. However, these motors experience several faults, which may cause significant financial losses. This paper proposed a feed-forward neural network-based diagnostic tool for accurate and fast detection of the location and severity of stator inter-turn faults. The input to the neural network is a group of representative statistical and frequency-based features extracted from the steady-state three-phase stator current signals. The current signals with different numbers of shorted turns and loading conditions are captured using the developed finite element JMAG ™ model for interior mount LSPMSM. In addition, an experimental set-up was built to validate the finite element model and the proposed diagnostics tool. The simulation and experimental test results showed an overall accuracy of 93.125% in detecting the location and the size of inter-turn, whereas, the accuracy in detecting the location of the fault is 100%

Pengaruh Produksi, Harga, Dan Nilai Tukar Terhadap Volume Ekspor (Studi Pada Volume Ekspor Biji Kakao Indonesia Periode Januari 2010-desember 2015)

Understanding the concept of production, price, and exchange rate are objective of this research. The research was an explanatory research with quantitative approach. Secondary data which used were monthly period data from January 2010 – December 2015. Regarding the used period, total data which used is sixty. The output from this research: simultaneously, three dependent variable which used have significant affect with dependent variable. Partially, the production variable didn\u27t have significant affect, meanwhile International price and exchange rate have significant influence. Regarding the result, cocoa beans producers should improve the quality of cocoa beans which produced to enhance the national economic growth. The growth of export volume of Indonesia cocoa beans would enhance the economic growth that is useful for national welfare

Co-hort study of urinary schistosomiasis among two villages residing along Hadejia Valley, Jigawa State, Nigeria

A study was carried out to determine prevalence of urinary Schistosomiasis among two villages located along Hadejia valley in Jigawa State, Nigeria. A total of 125 urine sample from people residing in each of the two villages (Yamidi and Shawara), were screened for the presence or absence of S. haematobium eggs. Urine sample were screened using Concentration Sedimentation Technique. The overall prevalence of S. haematobium infection in Yamidi was 76.8% with mean Eggs per cubic Centiliter (EPC) of 2.9, and in Shawara the overall prevalence was 77.6% with mean EPC of 3.4. Males were found to be more infected than female in both the two villages. People aged 1 to 5 years have highest prevalence of the infection in both the two villages than people among older age group. People with haematuria have highest prevalence of 95.1% and mean EPC of 6.0 than people without haematuria that have lower prevalence of 72.0% and mean EPC of 3.4.There was no significant relationship (p > 0.05) between the infection and presence or absence of haematuria. This study has established that urinary schistosomiasis is endemic in the study area.Keywords: Hadejia, Haematuria, Infection, Jigawa, Nigeria, Schistosomiasi

Cross sectional study of malarial parasite among patients attending general hospital, Hadejia, Jigawa state, Nigeria

A study was conducted to find out prevalence of malarial parasite among patients attending Hadejia General Hospital. A total of 227 people were screened in the  study area. Out of this number 150(66.1%) were males, while 77(33.9%) were females. Overall prevalence of malarial parasite was found to be 114(50.2%). Prevalence of malarial parasite in males was found to be 78(52%), while prevalence in females was found to be 36(46.8%). There was no significant difference (p >0.05) between the sex of the people and prevalence of the infection. Prevalence of malarial parasite in children aged 0 to 5 years has highest prevalence37(53.4%), followed by children aged 6 to 15 years with prevalence of 56(50.3%) and lowest prevalence was obtained in people aged 15 years and above 25(40.4%).There was no significant difference (p > 0.05) between the age of the people and prevalence of the infection. The prevalence of malarial parasite was found to be high among patients attending Hadejia General Hospital.Keywords: Hospital, Malaria, Prevalence, Parasite, Patient

Prevalence of fasciolosis among cattle slaughtered at Hadejia Abattoir

A study was carried out to find out the prevalence of Fasciolosis in cattle  slaughtered at Hadejia Abattoir. Fasciola gigantica is a parasite of liver and bile duct in cattle, sheep and goat. The liver was examined for Fasciola by making length wise incision on the ventral side of the liver in such a way that the Bile duct was cut open. The forcep was used to pick the exposed worms in the bile duct and the Gall bladder. The Flukes recovered from each cattle were placed in label containers and taken to the Laboratory for identification and preservation. A total of 545cattle were  examined for the presence or absence of Fasciolosis in Hadejia Abattoir. Out of this number 279 (51.2%) were males and 266 (48.8%) were females. The overall  prevalence of Fasciolosis in the study area was 159(28.0%). The prevalence of Fasciolosis in males was found to be 73(26.2%), while the prevalence in females was 79(29.7%). There was no significant relationship (P > 0.05)between sex of the cattle and prevalence of the infection. The Prevalence of Fasciolosis in adult cattle was 36(40.2%), while in young cattle the prevalence was 123(15.0%). There was significant relationship (P < 0.05) between the age of cattle and prevalence of the infection.Fasciolosis is one of the helminths diseases that were found to be prevalent affecting cattle in the study area.Key words: Abattoir, Cattle, Cross-sectional., Fasciolosis, Slaughter

Threat assessment algorithm for Active Blind Spot Assist system using short range radar sensor

Road safety has become more concern due to the number of accidents that keeps increasing every year. The safety systems include from simple installation such as seat belt, airbag, and rear camera to more complicated and intelligent systems such as braking assist, lane change assist, steering control and blind spot monitoring. This paper proposes another intelligent safety system to be implemented in passenger vehicle by monitoring the blind-spot region by using automotive short range radar as sensor to assess its surrounding. This system is called Active Blind-Spot Assist (ABSA) system and this system will collaborate with a Steering Intervention system for autonomous steering maneuvers. The objective of ABSA system is to deploy safety interventions by giving warning to the driver whenever other vehicle is detected within the blind-spot region. Furthermore, this active system also triggers autonomous steering control when the potential of collision with the detected vehicle increases greatly. Consequently, a threat assessment algorithm is developed to evaluate the right moment to give safety interventions to the driver and the conditions for autonomous steering maneuvers. The process of developing the threat assessment algorithm explained in this paper

Steering intervention strategy for side lane collision Avoidance

Advance Driver Assistance Systems (ADAS) have successfully been integrated in many vehicles; however, the research on its improvement is still on-going. Some of the features of ADAS include Lane Departure warning System, Blind Spot detection, Lane Change Assistance and etc. However, with such systems available, accidents still occurred due to the driver's lack of awareness and negligence towards the given indication and warning, especially situation related to side lane collision. Thus, this paper aims to propose a simple steering intervention control. If the driver still proceed for the lane change when there are other object appearing in the blind spot area, the proposed solution will automatically trigger vehicle evasion mode to avoid side lane collision. The system does not take into account comfort in order to warn the driver. The system was tested and validated using a test vehicle. The results show that the steering intervention provides good vehicle evasion results and hypothetically it may act as the final warning towards the person behind the wheel