Analysis load forecasting of power system using fuzzy logic and artificial neural network

Load forecasting is a vital element in the energy management of function and execution purpose throughout the energy power system. Power systems problems are complicated to solve because power systems are huge complex graphically widely distributed and are influenced by many unexpected events. This paper presents the analysis of load forecasting using fuzzy logic (FL), artificial neural network (ANN) and ANFIS. These techniques are utilized for both short term and long-term load forecasting. ANN and ANFIS are used to improve the results obtained through the FL. It also studied the effects of humidity, temperature and previous load on Load Forecasting. The simulation is done by the Simulink environment of MATLAB software

United Kingdom and United States Tourism Demand for Malaysia:A Cointegration Analysis

Tourism industry has been an important contributor to the Malaysia economy. In this paper we inspect variations in the long run demand for tourism from United Kingdom and United States to Malaysia. The demand for tourism has been explained by macroeconomic variables, including income in origin countries, tourism prices in Malaysia, and travel cost between the two countries. Annual data from 1972 to 2006 are used for the analysis. Augmented Dickey-Fuller and Johansen’s maximum likelihood tests are used to test for unit root and cointegration. An error correction model (ECM) are estimated to a explain United Kingdom and United States demand for tourism to Malaysia. The results show that the long run equilibrium exists among variables, and the United Kingdom and United States tourists seem to be highly sensitive to the price variable.Tourism demand, cointegration analysis, Error Correction Model

Cereal cyst nematodes : molecular identification and quantification, and screening for resistance in wheat

A survey was conducted in north-eastern Syria to assess the distribution of the cereal cyst nematodes (CCN). The study revealed that 62% of the fields were infested with three Heterodera species: H. latipons (76%), H. avenae (31%), and H. filipjevi (9%). Molecular identification and quantification is an accurate, rapid and sensitive method. Therefore, the actin-1 gene was successfully used to develop a species-specific PCR assay to detect H. latipons; and the mitochondrial cytochrome oxidase subunit 1 (COI) gene was used to develop two species-specific PCR assays for the identification of H. avenae and H. filipjevi. Also, the COI gene was used to develop two qPCR assays for the identification and quantification of H. avenae and H. latipons. The use of resistant hosts for nematode management is considered cost-efficient and environmentally friendly. Hence, a total of 217 synthetic winter wheat lines were screened (phenotyped) for resistance to H. filipjevi in the growth chamber. The same lines were genotyped using the Amplified Fragment Length Polymorphism (AFLP) technique. Phenotyping showed that some lines are promising because of a low number of newly developed cysts; those lines are considered resistant and moderate resistant and can be used for further breeding of resistant cultivars against cereal cyst nematodes

Resource management algorithms for real-time wireless sensor networks with applications in cyber-physical systems

Wireless Sensor Networks (WSN) are playing a key role in the efficient operation of Cyber Physical Systems (CPS). They provide cost efficient solutions to current and future CPS re- quirements such as real-time structural awareness, faster event localization, cost reduction due to condition based maintenance rather than periodic maintenance, increased opportunities for real-time preventive or corrective control action and fine grained diagnostic analysis. However, there are several critical challenges in the real world applicability of WSN. The low power, low data rate characteristics of WSNs coupled with constraints such as application specified latency and wireless interference present challenges to their efficient integration in CPSs. The existing state of the art solutions lack methods to address these challenges that impediment the easy integration of WSN in CPS. This dissertation develops efficient resource management algorithms enabling WSNs to perform reliable, real-time, cost efficient monitoring. This research addresses three important problems in resource management in the presence of different constraints such as latency, precedence and wireless interference constraints. Additionally, the dissertation proposes a solution to deploy WSNs based real-time monitoring of critical infrastructure such as electrical overhead transmission lines. Firstly, design and analysis of an energy-aware scheduling algorithm encompassing both computation and communication subsystems in the presence of deadline, precedence and in- terference constraints is presented. The energy-delay tradeoff presented by the energy saving technologies such as Dynamic Voltage Scaling (DVS) and Dynamic modulation Scaling (DMS) is studied and methods to leverage it by way of efficient schedule construction is proposed. Performance results show that the proposed polynomial-time heuristic scheduling algorithm offers comparable energy savings to that of the analytically derived optimal solution. Secondly, design, analysis and evaluation of adaptive online algorithms leveraging run- time variations is presented. Specifically, two widely used medium access control schemes are considered and online algorithms are proposed for each. For one, temporal correlation in sensor measurements is exploited and three heuristics with varying complexities are proposed to perform energy minimization using DMS. For another, an adaptive algorithm is proposed addressing channel and load conditions at a node by influencing the selection of either low energy or low delay transmission option. In both cases, the simulation results show that the proposed schemes provide much better energy savings as compared to the existing algorithms. The third component presents design and evaluation of a WSN based framework to mon- itor a CPS namely, electrical overhead transmission line infrastructure. The cost optimized hybrid hierarchical network architecture is composed of a combination of wired, wireless and cellular technologies. The proposed formulation is generic and addresses constraints such as bandwidth and latency; and real world scenarios such as asymmetric sensor data generation, unreliable wireless link behavior, non-uniform cellular coverage and is suitable for cost minimized incremental future deployment. In conclusion, this dissertation addresses several challenging research questions in the area of resource management in WSNs and their applicability in future CPSs through associated algorithms and analyses. The proposed research opens up new avenues for future research such as energy management through network coding and fault diagnosis for reliable monitoring

PENGARUH PENGGUNAANVIDEO TAPE FEEDBACK TERHADAP KETERAMPILANTEKNIK DASAR DRIBBLING CABANG OLAHRAGA FUTSAL (Studi Eksperimen Ektrakulikuler Futsal SMPN 1 Baleendah)

Skripsi ini dilatarbelakangi dari pengalaman penulis pada beberapa factor pendukung cabang olahraga futsal. Salah satunya yang sangat penting dalam olahraga futsal adalah program latihan yang diberikan kepada atlet. Program latihan yang digunakan untuk melatih keterampilan teknik dasar dribbling cabang olahraga futsal diantaranya adalah menggunakan Video Tape Feedback. Permasalahan pokok dalam penelitian ini adalah apakah penggunaan Video Tape Feedback memberikan pengaruh yang signifikan terhadap keterampilan teknik dasar dribbling pada cabang olahraga futsal. Penelitian ini bertujuan untuk mengetahui sejauh mana penggunaan Video Tape Feedback memberikan pengaruh terhadap keterampilan teknik dasar dribbling cabang olahraga futsal. Metode penelitian yang digunakan adalah metode eksperimen. Populasi dalam penelitian ini adalah siswa kelas 8 yang mengikuti ekstrakulikuler futsal di SMPN 1 Baleendah, sedangkan sampel yang digunakandalampenelitianiniterdiridari 10 orang, denganmenggunakansempel purposive ataupurposive sampling..Pengumpulan data menggunakan instrument tes dribbling dariDoni Faisal. Hasil pengolahan statistika dari data pre-testdanpost-test, dengan menggunakan uji rata – rata. Dari hasil analisa data tes dribbling diperoleh tkritis dengan nilai 6.05 lebih besar dari ttable dengan nilai 2.26.Dengan demikian hasil pengolahan dan analisis data, dapat menunjukan bahwa penggunaan Video Tape Feedback memberikan pengaruh yang signifikan terhadap keterampilan teknik dasar dribbling pada cabang olahraga Futsal. ---------- The background of this study was based on the experiences of the writer on several factors. One of the most important in futsal sport is a training program given to the athletes. The training program used to train the basic technique of dribbling skill in futsal sport, one of them is the use of Video Tape Feedback. The main issue of this study was whether the use of Video Tape Feedback has significant influence on the basic technique of dribbling skill in futsal sport. Where this study aimed to determine the extent to which of Video Tape Feedback give effect to the basic skill of dribbling skill in futsal sport. The method that used in this study was experimental method. The populations itself were students who follow extracurricular futsal in SMP Negeri 1 Baleendah, while the samples used in this study was 10 students of 8 grade who follow extracurricular futsal in SMPN 1 Baleendahby using purposive sampling. The writer was using dribbling test instrument of Doni Faisal for data collection. The statistical result was coming from of pre-test and post-test and with use mean test. Based on the data analysis of dribbling test, it point of tkritis 6.05 higher than ttable which was 2.26. Thus the result of data collection and data analysis showed that the use of Video Tape Feedback was giving significant influence to the basic technique of dribbling skill in Futsal