Analysis Of Wearable Antenna Using Electromagnetic Band Gap Under Bending Conditions

Wearable antenna caught many attentions among researchers due to its wide applications in the technology.The wearable antenna can be widely applied in military, medical,tracking,and many other fields due to its capability to function on the body and off the body.It is an advantage if the wearable antenna could operate with wide bandwidth.However,there are some drawbacks when designing wideband antenna.Backward radiation is one of the major drawbacks introduced by a wearable antenna. Therefore,it is crucial to reduce the backward radiation to avoid harm to the user.Hence,this thesis presents a wearable antenna integrated with Electromagnetic Band Gap (EBG) structure to perform at particular dual-band Wireless Local Area Network (WLAN) frequencies;2.4 GHz and 5.2 GHz.EBG structure is a type of metamaterial which cannot be found in nature.This structure has become one of the interests due to its extraordinary response to electromagnetic waves.The wearable antenna is designed in the form of circular ring microstrip patch antenna.Jeans have been used as the medium of the substrate.Jeans fabric is selected due to its high permittivity and inelasticity compared to the other materials.The overall size of the antenna is 70x70mm.In order to improve the performance of the antenna,an EBG is then designed to be integrated with the proposed wearable antenna.Next,the designed structures have been fabricated and measured for return loss,gain,directivity,and radiation pattern.The integration of the wearable antenna with the EBG structure has improved the overall performance.The gain of 5.711 dB and 7.474 dB has been achieved for both high and low resonating frequencies respectively,which shows\ud almost 63.7% improvement at low frequency and 121.4% at high frequency.As the designed antenna is designed to be worn on the body,the bending effect of the structure is studied.Cylindrical foams are used to replace human torso for this purpose.Three radiuses have been selected, representing adult's wrist,arm,and thigh.The overall structure is then been tested under bending conditions; resulting intangible effect to the antenna's performances compared to the flat antenna.The return loss for the antenna was found to be very little affected by the presence of body which makes the designed antenna to be suitable for the wearable communication system.Thus,this antenna is suitable for WLAN application purposed especially for medical,consumer electronics sectors and military field.The details of the measured and simulated are presented and discussed

Pengaruh Waktu Aplikasi dan Komposisi Nutrisi Terhadap Pertumbuhan Vegetatif Tanaman Anggrek Dendrobium (Dendrobium sp.)

Anggrek membutuhkan unsur hara NPK dalam jumlah yang sesuai pada fase vegetatif. Pemupukan anggrek umumnya dilakukan dengan cara disemprotkan ke daun sehingga unsur hara dapat diserap olah stomata. Anggrek dendrobium tergolong tanaman CAM yang membuka stomata saat malam hari sehingga aplikasi pupuk akan lebih optimal diaplikasikan saat malam. Penelitian ini bertujuan untuk mengetahui pengaruh waktu aplikasi dan konsentrasi pupuk daun terhadap pertumbuhan vegetatif tanaman anggrek dendrobium. Penelitian dilaksanakan di kebun Handoyo Budi Orchid, Karangploso, Malang pada bulan Januari-Mei 2019. Penelitian ini menggunakan Rancangan Acak Kelompok dengan 8 kombinasi perlakuan dengan 4 ulangan, sehingga terdapat 32 satuan kombinasi perlakuan dengan total 192 tanaman. Perlakuan yang digunakan merupakan kombinasi dari waktu aplikasi dan konsentrasi pupuk daun antara lain kontrol, pemupukan pagi + NPK 32-10-10 2 g L-1, pagi + NPK 20-20-20 1 g L-1, pagi + NPK 20-20-20 2 g L-1, malam + 32-10-10 1 g L-1, malam + NPK 32-10-10 2 g L-1, pagi + NPK 20-20-20 1 g L-1, pagi + NPK 20-20-20 2 g L-1. Analisis data yang digunakan adalah uji F taraf 5%. Apabila uji F 5% memberikan pengaruh nyata, maka dilanjutkan dengan uji BNJ taraf 5%. Hasil penelitian menunjukkan bahwa waktu aplikasi, komposisi dan konsentrasi nutrisi mampu meningkatkan kualitas tanaman anggrek pada parameter panjang tanaman, luas daun, bobot segar dan analisa NPK

A multi-criteria hybrid recommender system for elderly intervention plans toward successful ageing

Recommender systems are information filtering systems that cope with the issue of excessive data by filtering fragments of important information. The massive amount of information is dynamically generated according to the user’s preferences, interests, or observed behaviour of an item. Recommender systems have been widely applied in many domains, such as e-commerce, health, food, and nutrition, movies, and many others. Currently, numerous endeavors have been made to improve the lives of those people who are elderly using recommender systems. Current assessment only focusing on a single assessment process which not comprehensive. The assessment is often used to determine the current and future interventions that should be given accurately to the elderly. To ensure that intervention plans are provided comprehensively to the elderly, many aspects need to be addressed. This research proposes a hybrid recommender system that combines both collaborative filtering (CF) and knowledge-based (KB) approaches based on the profiles of elderly people generated from the elderly assessments. The user profile represents the elderly condition for each aspect of assessments and will be used by the proposed model to recommend interventions for the elderly. The CF was applied for determining similar users based on the profiles of other users. The KB filtering technique was then applied to select the interventions listed by the CF approach based on the interventions given by the experts who participated in this research to improve the well-being of the elderly and helping them to achieve successful ageing. The proposed recommendation model was evaluated based on its accuracy by using precision, recall, and F1 Measure to compare the proposed model with the baseline models using basic search (BS) and CF to determine which recommendation model was preferred in recommending interventions based on multi aspects of successful ageing. The result from the accuracy evaluation using recall, precision, and F1 Measure revealed that the new recommendation model that integrates both CF and KB approach are more accurate compare to baseline model. The Successful Ageing Method (SAM) system that has been developed in this research using this new recommendation model can be used for the elderly institutions under JKM aligned with the Rancangan Malaysia Ke-12 (RMK-12). This will helps the elderly care sector to be better in organizing and taking care of elderly well-being

Freeman chain code as representation in offline signature verification system

Over recent years, there has been an explosive growth of interest in the pattern recognition. For example, handwritten signature is one of human biometric that can be used in many areas in terms of access control and security. However, handwritten signature is not a uniform characteristic such as fingerprint, iris or vein. It may change to several factors; mood, environment and age. Signature Verification System (SVS) is a part of pattern recognition that can be a solution for such situation. The system can be decomposed into three stages: data acquisition and preprocessing, feature extraction and verification. This paper presents techniques for SVS that uses Freeman chain code (FCC) as data representation. In the first part of feature extraction stage, the FCC was extracted by using boundary-based style on the largest contiguous part of the signature images. The extracted FCC was divided into four, eight or sixteen equal parts. In the second part of feature extraction, six global features were calculated. Finally, verification utilized k-Nearest Neighbour (k-NN) to test the performance. MCYT bimodal database was used in every stage in the system. Based on our systems, the best result achieved was False Rejection Rate (FRR) 14.67%, False Acceptance Rate (FAR) 15.83% and Equal Error Rate (EER) 0.43% with shortest computation, 7.53 seconds and 47 numbers of features

Value management guidelines for the Malaysian construction industry

As a result of a rigorous concatenated exploratory research using mixed methodologies, sustainable Value Management (VM) Guidelines for the Malaysian construction industry were developed. It is hoped to assist the future driving force in the further development of VM in Malaysia as well as paving the way for better implementation of VM which promises improved value for the clients of the Malaysian construction industry. Since there is no sound academic base and lack of understanding by the construction clients and the professional consultants towards VM in Malaysia, this paper is to enlighten the Malaysian construction industry on the availability and the existence of the prototype VM Guidelines resulting from the undertaken researc

Industrialised building systems (IBS): it’s attribute towards enhancing sustainability in construction / Nor Azmi Ahmad Bari … [et al.]

Greater Cairo Region (GCR) is the largest metropolitan area on the African continent and the Arab world. It accommodates 16.1 million inhabitants representing 19% of Egypt's total population. Today, critical urban issues arise from the sheer size of the metropolis GCR and from its population density. Traffic congestion is on the top of these issues. This research focuses on the significant role that hubs (Multi Modal Platforms) can play in enhancing the GCR transportation infrastructure. Ramses square area in Cairo is selected to demonstrate a systematic solution to solve the problems resulted from the interference of multi uses activities and transportation modes in central areas of capital cities

Effects of industrial training programmes on competencies of engineering graduates: a preliminary study

Based on previous reports, there are complaints from industries that our engineering graduates lack in non-technical skills. The engineers that are freshly entered the industry are not industry-ready due to lack of required non-technical skills. One of the reason is when they are still undergarduates, they receive minimum industry exposure during their industrial training. Furthermore, most of them have less industry experience and non-technical that is expected by today’s industry. Unfortunately, some students undergo industrial training to the industry which is not relevance to what they are studied before. This problem contributes to unemployment issue among engineering fresh graduates. This paper presents a study on sixteen engineering graduates from various public universities in Malaysia on effects of industrial training programme to them. A semi-structured interview was used to gain data from the respondents. The results reveal that 90% of respondents which underwent only 2.5 to 3 months of industrial training did not satisfy with the short duration of training. In addition, 43.75% of them claimed that the industries that they had been placed are not related to their courses

Auto Halal Detection Products Based on Euclidian Distance and Cosine Similarity

Although Indonesia is the world the world's most populous Muslim-majority country, the number of halal-certified products in Indonesia is only 20% of the products on the Indonesian market. Halal certification is voluntary as such there are many food products which are halal but are not certified as halal. In principle, these food products may have similar halal ingredients with halal-certified products.  In this study, we build a system that can compare products that have not been certified halal with halal certified products based on its ingredients.  The food products are collected from Open Food Facts, Institute  For  Foods,  Drugs,  And  Cosmetics Indonesian  Council  Of  Ulama (LPPOM MUI) and our halal system. As of this paper writing, the halal-certified products are obtained from LPPOM MUI.  The system uses the Euclidean Distance and Cosine Similarity that generate top-5 similar products. Those two similarity calculations are based on Term Frequency-Inverse Entity Frequency weighting function.  The weighting function calculates the frequency of a term on a product name and ingredients.  If a similarity value of a product with no halal certification and a halal-certified product is higher than 75%, then the former could be indicated as a halal product. In the end, the system can give a recommendation of unknown products from a related pool of halal-certified products based on similarity of product composition. Cosine similarity accuracy is higher than Euclidean Distance and MoreLikeThis accuracy. Cosine similarity gets the highest precision because the cosine similarity is based on the vector angle of the term in a product