A Prediction Approach for Demand Analysis of Energy Consumption Using K-Nearest Neighbor in Residential Buildings

Fazli Wahid,DoHyeun Kim 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.2

In order to manage efficiently the energy production, storage and management system, it is very important to analyze accurately the energy requirements for residential sector because the residential sector consumes a considerable amount of total energy produced. The main aim of the paper is the assurance of energy production according to the consumer demands in an efficient manner. The energy market is an important tool for setting prices between the energy producers, suppliers and the consumers. An excellent precision in the prediction of next day consumption is required for the suppliers to get good prices in the energy traded. The main aim of this paper is to facilitate the energy suppliers to make decisions for the provision of energy to different apartments according to their demand. In this paper, we have utilized K-Nearest Neighbors classifier for daily energy consumption prediction based on classification. The process consists of five stages namely data collection, data processing, prediction, and validation and performance evaluation. The historical data containing hourly consumption of 520 apartments of Seoul, Republic of Korea has been used in the experimentation. The data has been divided into different training and testing ratios and different qualitative and quantitative measures have been applied to find the performance and efficiency of the predictor. The highest accuracy has been observed for 60-40% training and testing ratio giving 95.9615% accurate results. The effectiveness of the model has been validated using 10-Fold and 5-Fold cross validation.

An Efficient Artificial Intelligence Hybrid Approach for Energy Management in Intelligent Buildings

( Fazli Wahid ),( Lokman Hakim Ismail ),( Rozaida Ghazali ),( Muhammad Aamir ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.12

Many artificial intelligence (AI) techniques have been embedded into various engineering technologies to assist them in achieving different goals. The integration of modern technologies with energy consumption management system and occupant’s comfort inside buildings results in the introduction of intelligent building concept. The major aim of this integration is to manage the energy consumption effectively and keeping the occupant satisfied with the internal environment of the building. The last few couple of years have seen many applications of AI techniques for optimizing the energy consumption with maximizing the user comfort in smart buildings but still there is much room for improvement in this area. In this paper, a hybrid of two AI algorithms called firefly algorithm (FA) and genetic algorithm (GA) has been used for user comfort maximization with minimum energy consumption inside smart building. A complete user friendly system with data from various sensors, user, processes, power control system and different actuators is developed in this work for reducing power consumption and increase the user comfort. The inputs of optimization algorithms are illumination, temperature and air quality sensors’ data and the user set parameters whereas the outputs of the optimization algorithms are optimized parameters. These optimized parameters are the inputs of different fuzzy controllers which change the status of different actuators according to user satisfaction.

Determination of Optimal Toxic Concentration and Accumulation of Cadmium in Broiler Chicks

Fazli Subhan,Ayaz Khan,Fazli Wahid,Adeeb Shehzad,Amin Ullah Jan 한국독성학회 2011 Toxicological Research Vol.27 No.3

Cadmium is considered one of the most toxic, non biodegradable heavy metal for the human and animals. The purpose of the present study was to investigate the changes in biochemical parameters of blood and accumulation of cadmium in various tissue caused by various levels of dietary cadmium chloride (CdCl₂) in broiler chicks. CdCl₂ was administered through drinking water to broiler chicks. In spectral analysis, CdCl₂ treatment caused a significant increase in Glutamate pyruvate transaminase (GPT), creatinine and uric acid levels in all treated groups. Intriguingly, the GPT, creatinine, and uric acid levels were significantly higher at 75 ㎎/㎏ as compared to the groups treated with high doses (100, 125 and 150 ㎎/㎏) of CdCl₂. Atomic Absorption Spectrophotometer (AAS) was used for the determination of Cd accumulation in kidney, liver and Breast muscles. AAS analysis revealed that Cd accumulation is increased in breast muscles as compared to liver and kidney at higher doses of Cd than 75 ㎎/㎏.

An Evaluation of Automated Tumor Detection Techniques of Brain Magnetic Resonance Imaging (MRI)

Fazli Wahid,Muhammad Fayaz,Abdul Salam Shah 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.2

Image processing is a technique developed by computer and Information technology scientist and being used in all field of research including medical sciences. The focus of this paper is the use of image processing in tumor detection from the brain Magnetic Resonance Imaging (MRI). For the brain tumor detection, Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are the prominent imaging techniques, but most of the experts prefer MRI over CT. The traditional method of tumor detection in MRI images is a manual inspection which provides variations in the results when analyzed by different experts, therefore, in view of the limitations of the manual analysis of MRI, there is a need for an automated system that can produce globally acceptable and accurate results. There is enough amount of published literature available to replace the manual inspection process of MRI images with the digital computer system using image processing techniques. In this paper, we have provided a review of digital image processing techniques in the context of brain MRI processing and critically analyzed them for the identification of the gaps and limitations of the techniques so that the gaps can be filled and limitations of various techniques can be improved for precise and better results.

Using Probabilistic Classification Technique and Statistical Features for Brain Magnetic Resonance Imaging (MRI) Classification: An Application of AI Technique in Bio-Science

Fazli Wahid,Rozaida Ghazali,Muhammad Fayaz,Abdul Salam Shah 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.6

There are many medical imaging modalities used for the analysis and cure of various diseases. One of the most important of these modalities is Magnetic Resonance Imaging (MRI). MRI is advantageous over other modalities due to its high spatial resolution and the excellent capability of discrimination of soft tissues. In this paper, an automated classification approach of normal and pathological MRI is proposed. The proposed model three simple stages; preprocessing, feature extraction and classification. Two types of features; color moments and texture features have been considered as main features for the description of brain MRI. A probabilistic classifier based on logistic function has been used for the MRI classification. A standard data set consisting of one hundred and fifty images has been used in the experiments, which was divided into 66% training and 34% testing. The proposed approach gave 98% accurate results for training data set and 94% accurate results for the testing data set. For validation of the proposed approach, 10-Fold cross validation was applied, which gave 90.66% accurate results. The classification capability of probabilistic classifier has been compared with the different state of art classifiers, including Support Vector Machine (SVM), Naïve Bayes, Artificial Neural Network (ANN), and Normal densities based linear classifier.

Determination of Optimal Toxic Concentration and Accumulation of Cadmium in Broiler Chicks

Subhan, Fazli,Khan, Ayaz,Wahid, Fazli,Shehzad, Adeeb,Jan, Amin Ullah Korean Society of ToxicologyKorea Environmental Mu 2011 Toxicological Research Vol.28 No.3

Cadmium is considered one of the most toxic, non biodegradable heavy metal for the human and animals. The purpose of the present study was to investigate the changes in biochemical parameters of blood and accumulation of cadmium in various tissue caused by various levels of dietary cadmium chloride ($CdCl_2$) in broiler chicks. $CdCl_2$ was administered through drinking water to broiler chicks. In spectral analysis, $CdCl_2$ treatment caused a significant increase in Glutamate pyruvate transaminase (GPT), creatinine and uric acid levels in all treated groups. Intriguingly, the GPT, creatinine, and uric acid levels were significantly higher at 75 mg/kg as compared to the groups treated with high doses (100, 125 and 150 mg/kg) of $CdCl_2$. Atomic Absorption Spectrophotometer (AAS) was used for the determination of Cd accumulation in kidney, liver and Breast muscles. AAS analysis revealed that Cd accumulation is increased in breast muscles as compared to liver and kidney at higher doses of Cd than 75 mg/kg.

손상된 불가사리 추출물 흡입이 포름알데히드 노출에 의한 항염증 작용에 미치는 효과

황경희,장수찬,박종석,Fazli Wahid,김유영 한국생명과학회 2013 생명과학회지 Vol.24 No.4

Formaldehyde (FA) is widely used in industries, and it is an indoor and outdoor pollutant. Exposure to FA may cause inflammation and respiratory oxidative stress. Studies have demonstrated that FA can cause cancer in animal models. During the regeneration process of injured starfish (Asterina pectinifera), several changes have been observed in the expression of cytokines. In particular, higher TGF-β1 expression has been detected in arm cut starfish extract after eight days. The current study was designed to elucidate the in-vitro and the in-vivo pharmacological effects of starfish extract on FA exposure. We investigated the protective effects of intact starfish extract and arm cut starfish extract on an IMR-90 cell line and on mouse lung injury in response to FA exposure. In the presence of FA, inhalation of the arm cut starfish extract was associated with more promising cell proliferation, TNF-α, NF-κB decrement, and Ik-Bα increment. In the experimental group, the pulmonary structure of the arm cut starfish extract-treated group in the presence of FA exposure was similar to the control group, whereas the FA exposure group showed damage to the pulmonary structure. Moreover, the arm cut starfish extracts was more effective than the intact starfish extracts in terms of the expression of TNF-α, NF-κB, Iκ-Bα, and surfactant protein A. The results obtained in this study demonstrate that arm cut starfish extracts are more effective in protecting pulmonary structure and function against FA exposure than intact starfish extracts. 포름알데히드는 주로 산업용으로 사용되는 독성이 강한 물질로서 생체에 노출 시 염증, 산화적 스트레스, 알레르기 반응, 나아가서 암을 유발하게 된다. 불가사리에서 추출되는 saponin은 sulphated sterol glycosides 등으로서 인삼 saponin (ginsenoside)들과 화학적 구조가 비슷하여 항균 및 세포독성을 비롯한 미생물을 괴사시키는 기능을 가지고 있음이 보고되었다. 또한 손상된 불가사리의 조직에는 염증성 사이토카인이 발현되는데 TGF-β의 증가로 손상 받은 부위를 빠르게 치료, 재생하게 된다. 본 실험은 조직손상 후 8일 된 불가사리 추출물과 포름알데히드를 IMR-90에 처리했을 때와 포름알데히드에 노출시킨 ICR 마우스에 불가사리 추출물을 흡입시켰을 때 염증성 폐 손상의 방어 및 치료에 미치는 효과를 알아보았다. 포름알데히드에 노출된 IMR-90에 조직손상 후 8일이 경과한 불가사리 추출물을 처리한 결과, 세포의 유의한 증식을 보였으며 염증 조절에 영향을 주는 TNF-α, NF-κB의 발현억제 및 Ik-Ba의 합성을 촉진시켰다. 포름알데히드에 노출된 ICR 마우스에 조직손상 후 8일이 경과한 불가사리 추출물을 처리한 군에서 체중의 증가, 항산화 효소의 증가, 지질과산화 작용의 감소, surfactant protein A의 증가, TNF-α 및 NF-κB의 발현억제, Ik-Ba 발현의 증가와 조직재생에 우수한 효과를 보였다. 이러한 결과는 포름알데히드로 인한 세포 및 폐 손상을 불가사리 추출물의 항염증 작용을 통하여 억제하거나 완화시킴을 확인할 수 있다.

Critical Analysis of Cloud Computing Software Development Process Models

Ayub Khan,Muhammad Fayaz,Abdul Salam Shah,Fazli Wahid 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.11

Nowadays, every vendor and IT service provider wants to switch into a cloud environment for better Quality of Service (QoS), Scalability, Performance and reasonable Cost. Many software developers trying to get the benefits of cloud computing and want to access the cloud environments at low cost and easy access. For this rationale and real-time cloud services, a reliable virtual platform is required. Many issues are encountering in development and deployment of these platforms regarding programming models, application architecture, APIs and services it provided. On the other hand, there are too many issues on the client side, including the limitation of tools, the interaction between client and service provider and user requirements in a specific cloud. As the cloud is inherently distributed environment, so it fabricates gaps in communication and coordination between stack holders. To cope with these obstacles and overcome challenges during software development in Cloud Computing, it is necessary to have a framework which resolves the issues and develop the software process model which meet the user requirement and provide quality of services within a time and budget. In this paper, the literature review mainly focuses on the software process model with their strength and weakness. The literature review also analyzes some attributes for software life cycle including cost, time, scalability and QoS.

A Robust Technique of Brain MRI Classification using Color Features and K-Nearest Neighbors Algorithm

Muhammad Fayaz,Abdul Salam Shah,Fazli Wahid,Asadullah Shah 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.10

The analysis of MRI images is a manual process carried by experts which need to be automated to accurately classify the normal and abnormal images. We have proposed a reduced, three staged model having pre-processing, feature extraction and classification steps. In preprocessing the noise has been removed from grayscale images using a median filter, and then grayscale images have been converted to color (RGB) images. In feature extraction, red, green and blue channels from each channel of the RGB has been extracted because they are so much informative and easier to process. The first three color moments mean, variance, and skewness are calculated for each red, green and blue channel of images. The features extracted in the feature extraction stage are classified into normal and abnormal with K-Nearest Neighbors (k-NN). This method is applied to 100 images (70 normal, 30 abnormal). The proposed method gives 98.00% training and 95.00% test accuracy with datasets of normal images and 100% training and 90.00% test accuracy with abnormal images. The average computation time for each image was .06s.

손상된 불가사리 추출물 흡입이 포름알데히드 노출에 의한 항염증 작용에 미치는 효과

황경희(Kyung Hee Hwang),장수찬(Su Chan Chang),박종석(Jong Seok Park),와히드 파즈리(Fazli Wahid),김유영(You Young Kim) 한국생명과학회 2013 생명과학회지 Vol.23 No.4

포름알데히드는 주로 산업용으로 사용되는 독성이 강한 물질로서 생체에 노출 시 염증, 산화적 스트레스, 알레르기 반응, 나아가서 암을 유발하게 된다. 불가사리에서 추출되는 saponin은 sulphated sterol glycosides 등으로서 인삼 saponin (ginsenoside)들과 화학적 구조가 비슷하여 항균 및 세포독성을 비롯한 미생물을 괴사시키는 기능을 가지고 있음이 보고되었다. 또한 손상된 불가사리의 조직에는 염증성 사이토카인이 발현되는데 TGF-β의 증가로 손상 받은 부위를 빠르게 치료, 재생하게 된다. 본 실험은 조직손상 후 8일 된 불가사리 추출물과 포름알데히드를 IMR-90에 처리했을 때와 포름알데히드에 노출시킨 ICR 마우스에 불가사리 추출물을 흡입시켰을 때 염증성 폐 손상의 방어 및 치료에 미치는 효과를 알아보았다. 포름알데히드에 노출된 IMR-90에 조직손상 후 8일이 경과한 불가사리 추출물을 처리한 결과, 세포의 유의한 증식을 보였으며 염증 조절에 영향을 주는 TNF-α, NF-κB의 발현억제 및 Ik-Ba의 합성을 촉진시켰다. 포름알데히드에 노출된 ICR 마우스에 조직손상 후 8일이 경과한 불가사리 추출물을 처리한 군에서 체중의 증가, 항산화 효소의 증가, 지질과산화 작용의 감소, surfactant protein A의 증가, TNF-α 및 NF-κB의 발현억제, Ik-Ba 발현의 증가와 조직재생에 우수한 효과를 보였다. 이러한 결과는 포름알데히드로 인한 세포 및 폐 손상을 불가사리 추출물의 항염증 작용을 통하여 억제하거나 완화시킴을 확인할 수 있다. Formaldehyde (FA) is widely used in industries, and it is an indoor and outdoor pollutant. Exposure to FA may cause inflammation and respiratory oxidative stress. Studies have demonstrated that FA can cause cancer in animal models. During the regeneration process of injured starfish (Asterina pectinifera), several changes have been observed in the expression of cytokines. In particular, higher TGF-β 1 expression has been detected in arm cut starfish extract after eight days. The current study was designed to elucidate the in-vitro and the in-vivo pharmacological effects of starfish extract on FA exposure. We investigated the protective effects of intact starfish extract and arm cut starfish extract on an IMR-90 cell line and on mouse lung injury in response to FA exposure. In the presence of FA, inhalation of the arm cut starfish extract was associated with more promising cell proliferation, TNF-α, NF-κB decrement, and Ik-Bα increment. In the experimental group, the pulmonary structure of the arm cut starfish extract-treated group in the presence of FA exposure was similar to the control group, whereas the FA exposure group showed damage to the pulmonary structure. Moreover, the arm cut starfish extracts was more effective than the intact starfish extracts in terms of the expression of TNF-α, NF-κB, Iκ-Bα, and surfactant protein A. The results obtained in this study demonstrate that arm cut starfish extracts are more effective in protecting pulmonary structure and function against FA exposure than intact starfish extracts.