Improper water distribution and delivery will cause poor performance of irrigation networks which requires improvement. Improvement of delivery method from rotational to arranged method increases farmers’ flexibility in irrigation management, improves water use productivity, and decreases water losses. In addition to higher flexibility, arranged delivery does not need expensive infrastructures and could be implemented in existing networks with manual operation. One of the important problems in the design of irrigation networks is the calculation of the canal capacity which is more complex for arranged delivery methods. Clements’model is used for the determination of canal capacity for arranged delivery. In this research, the application of Clements’ model in determining the capacity of two canals in the Ghazvin irrigation network and arranged delivery is investigated. The probability distribution function of water delivery to the tertiary intakes is determined. The results show that the best distribution function is the extreme value function. However, Clements’ model with the assumption of normal distribution for the requests shows acceptable performance for canal capacity determination. The level of flexibility of water delivery is a function of the degree of freedom of farmers and the possibility of simultaneous water exploitation of intakes. Considering the existing canal capacity, and calculated required canal capacity the attainable flexibility in the studied canals is determined. The results showed that for the degree of freedom equal to 1, the existing capacity of both canals allows all intakes to receive water simultaneously. For an accumulative probability of 75 percent, the degree of freedom could be increased up to 35, and 59 percent.

This paper concerns the transmission of two independent Gaussian sources over a two-user decentralized interference channel, assuming that the transmitters are unaware of the instantaneous CSIs. The availability of the channel state information at receivers (CSIR) is considered in two scenarios of perfect and imperfect CSIR. In the imperfect CSIR case, we consider a more practical assumption of having an MMSE estimation of the channel gain at the receivers. In this case, minimizing the expected achievable distortion associated with each link is considered. Due to the absence of CSI at the transmitters, the Gaussian sources are encoded in a successively refinable manner and the resulting code words are transmitted over the channel using a multi-layer coding technique. Accordingly, the optimal power assignment between code layers leading to the least expected achievable distortion, under a mean-square error criterion is derived for both, the perfect and imperfect CSIR scenarios. Finally, some numerical examples are provided and it is demonstrated that the proposed method results in better performance as compared with the conventional single-layer approach, termed as outage approach.

In this paper, we want to derive achievable secrecy rate regions for quantum interference channels with classical inputs under a one-shot setting. The main idea to this end is to use the combination of superposition and rate splitting for the encoding scheme and construct a decoding scheme based on simultaneous decoding.

The parasite, Leishmania, is the causative agent of the disease leishmaniasis and is highly endemic in 98 countries spread across the tropics, subtropics and Mediterranean Basin. It is a vector-borne disease transmitted by the bite of infected sand flies, and it appears in three clinical manifestations namely: cutaneous, mucocutaneous, and visceral leishmaniasis. It is known that at least 21 species are pathogenic to humans. To control the disease, there is no human vaccine, and the sole approach is through chemotherapy. Unfortunately, the available anti-leishmanial drugs are problematic due to their high toxicity, as well as increased parasite resistance. Therefore, making accurate diagnostic decisions for clinical treatment is highly important. Old World cutaneous leishmaniasis (CL) is mostly caused by two Leishmania species, named as L. major and L. tropica that produce skin ulcers. It is also important to note that the symptoms of CL can be confused with other skin diseases...

In this paper, the secrecy problem in the state dependent causal cognitive interference channel is studied. The channel state is non-causally known at the cognitive encoder. The message of the cognitive encoder must be kept secret from the primary receiver. We use a coding scheme which is a combination of compress-and-forward strategy with Marton coding, Gel’ fand-Pinsker coding and Wyner’ s wiretap coding at the cognitive encoder. We use rate splitting for messages at both transmitters. Furthermore, the cognitive user compresses its channel observation using Wyner-Ziv coding and splits the index of its compressed signal. By using this scheme we derive an achievable secrecy rate region for this channel and extend the results to the Gaussian case and provide some numerical results.

Background: In vivo measurements of applied dose during radiotherapy treatment, is important to ensure accurate dose delivery to patients. Uncertainty in dose delivery should fall within ±5% of the prescribed dose as recommended by ICRU. Assessment of dose for radiotherapy applications performed with various types of detectors. In this study, semiconductor diodes were used which have some advantages for clinical dosimetry.Materials and Methods: The brain tumors have generally treated with two fields using SSD technique. Entrance and exit dose were measured for each patient with diodes during treatment. Entrance and exit dose measurements have converted to midline dose. Measured entrance and exit doses have compared with calculated ones and large deviations (more than 5%) have observed. A farmer ionization chamber (0.6 cm) was used as the reference dose detector and a Perspex water phantom (30|¤|30cm2 area and thickness ranging from 5 cm to 30 cm) were used to determine calibration and correction factors.Results: Correction factors were determined and variations more than 1% have used to obtain correct doses. Large deviations between measured and calculated for entrance (5.3%), exit (42%) and midline (47%) were detected. The difference was not found to be significant when comparing the measured entrance dose with the calculated one (p=0.696) and the measured exit dose with calculated one (p=0.643) and measured midline dose with calculated one (p=0.104).Conclusion: In vivo dosimetry is very useful to check the dose delivered to the patient. A high precision obtained when the calibration and correction factors for each parameter of influence on the diode response are carefully determined and applied to convert the diode signal in the adsorbed dose. In this study, the target-absorbed doses were estimated from the measured entrance dose and the measured transmission.